Riau Jurnal Teknik Informatika is a journal managed by informatics engineering study program, Riau Jurnal Teknik Informatika is intended as a media for scientific studies of research results, thoughts and critical analysis studies on research in the field of computer science and technology. As part of the spirit of disseminating scientific knowledge from research and thoughts for community service and as a source of reference for academics in the field of Computer Science and Technology.. The articles will be reviewed to ensure the format and substantive criteria. Riau Jurnal Teknik Informatika is scheduled to be published 3 (three) times in March, July and November.
Prodi Teknik Informatika Universitas Pasir Pengaraian
Riau Jurnal Teknik Informatika provides open access to anyone so that the information and findings in these articles are useful for everyone. This journal's article content can be accessed and downloaded for free, free of charge, following the creative commons license used. Riau Jurnal Teknik Informatika is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Deteksi Serangan DDoS Menggunakan Explainable Ensemble Learning dan Analisis SHAP
Distributed Denial of Service (DDoS) attacks remain a major threat to network service availability due to their ability to generate massive traffic volumes that closely resemble legitimate activities. This study proposes an Explainable Ensemble Learning approach for DDoS detection using the CIC-DDoS2019 dataset. The proposed framework integrates Mutual Information-based feature selection to identify the 20 most relevant features, Synthetic Minority Over-sampling Technique (SMOTE) for class balancing, and a Voting Ensemble of Random Forest, XGBoost, and LightGBM classifiers. Model performance was evaluated using a 70:30 train-test split with Accuracy, Precision, Recall, F1-score, and ROC-AUC metrics. Experimental results achieved 99.80% Accuracy, 99.79% F1-score, and 0.9999 ROC-AUC. SHAP analysis identified Avg_Packet_Size and packet-length-related features as the most influential predictors, improving both detection performance and model interpretability. These findings demonstrate that integrating Ensemble Learning with Explainable Artificial Intelligence provides an accurate and transparent solution for DDoS detection interpretability.
Copyright (c) 2026 Sutrisno Sutrisno, Okta Irawati https://creativecommons.org/licenses/by-sa/4.0/
Perancangan Sistem Monitoring dan Kontrol Otomatis Greenhouse Hidroponik Berbasis IoT
The development of the Internet of Things (IoT) has encouraged the adoption of technology in the agricultural sector, particularly in hydroponic greenhouse systems. Manual control of temperature, humidity, light intensity, and other environmental conditions often reduces the effectiveness of crop cultivation. This study presents the design of an IoT-based hydroponic greenhouse monitoring and automatic control system. The research method consisted of a literature review, system requirements analysis, and the design of both hardware and software components. The proposed system employs an Arduino Uno as the main microcontroller, environmental sensors to monitor greenhouse conditions, and an ESP8266 module for data communication via the Internet. The design results include the hardware architecture, software workflow, and an automatic monitoring and control mechanism that enables real-time environmental data to be displayed through an Android application. The proposed system design is expected to serve as a reference for the future development and implementation of IoT-based smart hydroponic greenhouse systems.
Copyright (c) 2026 Aqhilah Astri, Gladys Maria, Muhammad Junaidi, Aqillah Meilika Putri, Verdi Riskiandi, Jihan Shona Zehran https://creativecommons.org/licenses/by-sa/4.0/
Perancangan Sistem Smart Farming Berbasis Internet of Things (IoT) Menggunakan Node-Mcu Dan Sensor Suhu Pada Peternakan Ayam Gibran Farm
Laying hen farming is a business sector that requires optimal management of the coop environment to support the health and productivity of the chickens. This study aims to design an Internet of Things (IoT)-based automatic lighting system for laying hen houses at Gibran Farm using a NodeMCU ESP32 and a DHT22 sensor. The main problem in the farm is the manual operation of the cage lights, resulting in unstable cage temperatures and impacting chicken productivity. The research methods include observation, system design, tool assembly, programming, and testing. The system works by detecting the cage temperature in real time through a DHT22 sensor, then the NodeMCU ESP32 automatically controls the lights according to predetermined temperature limits. The results show that the system is able to monitor temperature and control cage lighting effectively. This system also helps maintain stable cage temperatures and increases the efficiency of electrical energy use.
Copyright (c) 2026 Azzahro Nurhabibah, Ahmad Aftah Syukron https://creativecommons.org/licenses/by-sa/4.0/
Pengembangan Sistem Manajemen Skripsi Online Berbasis Web dengan Pelacakan Kemajuan Real-Time
Manual thesis supervision in higher education institutions generates recurring operational inefficiencies, including delayed document feedback, limited submission transparency, and the absence of centralized student progress monitoring. This study designs and implements a web-based thesis management system that digitalizes the complete academic supervision lifecycle using the Waterfall methodology for three user roles: Administrator, Supervisor, and Student. Functional testing across 47 black-box scenarios confirmed full compliance with all system requirements. User Acceptance Testing with 20 participants recorded 85% satisfaction at an average score of 4.25 out of 5.00. Post-implementation measurements revealed an 87.5% reduction in supervisor approval time, a 71.4% decrease in feedback response time, and a 95% improvement in examination scheduling efficiency, demonstrating the system's measurable impact on academic supervision processes at the Faculty of Information Technology, Universitas Bale Bandung
Copyright (c) 2026 Yusuf Muharam, Faisal Rizky, Sofy Nur Kholifah https://creativecommons.org/licenses/by-sa/4.0/
Analisis Distribusi Rekam Medis Berbasis Batch terhadap Dinamika Antrean Poliklinik Psikiatri Menggunakan Hybrid SD-DES
This study analyzes the effect of batch-based medical record distribution on outpatient queue dynamics at the Psychiatric Polyclinic of RSJ X using a hybrid System Dynamics–Discrete Event Simulation (SD-DES) approach. The simulation model represents the patient service process, including registration, medical record distribution, screening, and psychiatric consultation. The input data consisted of 111 patient entities and 33 batch-based medical record distribution events obtained from six days of field observations, which were then modeled using statistical probability distributions. The model was validated through structural and behavioral validation before being used for sensitivity analysis and scenario experiments. The results showed that the inter-batch interval was the most dominant parameter affecting queue formation compared with batch size, screening duration, and consultation duration. The highest Mean Absolute Deviation (MAD) values were found for the inter-batch interval, reaching 2.44 for the medical record queue, 1.95 for the screening queue, and 0.68 for the consultation queue. An improvement scenario that shortened the distribution interval toward a continuous release pattern successfully reduced the average consultation queue from 6.32 to 0.74 patients. These findings indicate that optimizing medical record distribution timing should become a primary priority for improving outpatient service efficiency. This study is limited to a single hospital setting and structural-behavioral validation; therefore, further research is required to improve the generalizability of the findings.
Copyright (c) 2026 Ghina Divani Nasywa, Steven Sentinuwo, Feisy Kambey https://creativecommons.org/licenses/by-sa/4.0/
Peningkatan Akurasi Deteksi Penyakit Daun Padi Menggunakan Augmentasi Data Berbasis Generative Adversarial Networks (GAN)
Rice is a staple food crop for more than half of the global population, with Asia contributing approximately 90% of global production. Leaf diseases, particularly Blast and Bacterial Blight, are major factors contributing to reduced rice productivity in Indonesia. Conventional detection methods based on visual observation are often subjective and time-consuming, highlighting the need for more reliable automated detection systems. This study aims to implement StyleGAN2-ADA to generate synthetic rice leaf disease images and evaluate its impact on the performance of Convolutional Neural Network-based classification. This research employed a quantitative experimental approach by comparing two scenarios: Baseline without GAN augmentation and Proposed with StyleGAN2-ADA synthetic image augmentation. Two CNN architectures, EfficientNetB0 and ResNet50, were evaluated using accuracy, precision, recall, F1-Score, and confusion matrix metrics. The quality of synthetic images was assessed using the Fréchet Inception Distance. The results demonstrated that StyleGAN2-ADA augmentation improved the overall F1-Score of EfficientNetB0 from 97.62% to 98.20%, with the largest improvement observed in the Blight class, increasing by 3.11%. For ResNet50, the overall F1-Score increased from 97.60% to 98.20%, although the Blast class showed no performance improvement after augmentation. GAN augmentation provided the most consistent benefits for the minority Blight class, while its impact on the Blast class varied across metrics. In EfficientNetB0, improvements in precision and F1-Score were accompanied by a decrease in recall. These findings indicate that model evaluation should consider class-specific performance and the trade-off between precision and recall rather than relying solely on aggregate metrics
Copyright (c) 2026 Nasya Sunia Tubuon, Nancy Jeane Tuturoong , Salaki Reynaldo Joshua https://creativecommons.org/licenses/by-sa/4.0/
Rancang Bangun Website Profil Dan Layanan Administrasi UKM Olahraga Politeknik Negeri Samarinda Berbasis Laravel
The development of the Sports Student Activity Unit (UKM Olahraga) profile and administrative service website at the Samarinda State Polytechnic aims to provide a centralized web-based platform for organizational information and service management. The system enables students to access UKM profiles, sports divisions, activity schedules, news, galleries, member registration, and inventory loan services online. The system was developed using Laravel 11 as the backend, Filament v4 as the administration panel, Bootstrap 5 for the user interface, and MySQL as the database. The development method applied is the Web Development Life Cycle (WDLC), covering feasibility, analysis, design, coding, testing, deployment, and maintenance. The implemented features include UKM profile management, sports divisions and branches, activity and training schedules, news, galleries, new member registration, inventory borrowing, and an administration panel. Black Box Testing on 15 admin and user scenarios showed that all scenarios were successful, resulting in a 100% functional success rate. User Acceptance Testing (UAT) with UKM administrators on information access, content management, registration, borrowing, and ease of use indicators showed that the system was in accordance with organizational needs. Therefore, the website can support faster, more structured, and better documented management of UKM data and information dissemination.
Copyright (c) 2026 Fayad Zabihulloh, Noor Alam Hadiwijaya , Anton Topadang https://creativecommons.org/licenses/by-sa/4.0/
Implementasi Algoritma Greedy dan Midtrans pada Sistem Informasi Pelatihan K3 Berbasis Web
Occupational Safety and Health (OSH) is an essential aspect of creating a safe and productive working environment. PT Marka Katiga Diklatama, which manages 15 OSH training programs with an average of 25 participants per month, still performs part of its training management and payment verification processes manually, resulting in inefficiency. This study aims to develop a web-based OSH training information system using the Waterfall method and the CodeIgniter 4 framework. The system integrates the Midtrans payment gateway to automate payment verification and implements the Greedy algorithm to determine the most popular training programs based on the number of registered participants. The results show that the system is capable of managing registration, payment, and reporting processes more effectively while automatically generating rankings of the most popular training programs. Based on User Acceptance Testing (UAT) involving 34 respondents, the system achieved an acceptance rate of 87.14%, which falls into the highly feasible category. The developed system supports more efficient management of OSH training services and facilitates the company's decision-making process.
Copyright (c) 2026 Alvin Alvin, Vina Ayumi https://creativecommons.org/licenses/by-sa/4.0/
Sistem Pendukung Keputusan Reward Penyidik Terbaik Berbasis Web Menggunakan AHP-SAW
The investigator reward process at the Narcotics Investigation Directorate of Gorontalo Regional Police is still conducted manually, making it prone to subjectivity, inconsistency, and time-consuming evaluations. This study aims to develop a web-based Decision Support System (DSS) for selecting the best investigator using the Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW) methods. The system was developed using the Rapid Application Development (RAD) approach and evaluated 20 investigator alternatives based on five criteria: Electronic Management of Investigators (EMP), Case Resolution, Discipline, Integrity, and Teamwork. The AHP method was applied to determine the priority weights of the evaluation criteria, while the SAW method was used to calculate preference values and rank the alternatives. The results show that Electronic Management of Investigators (EMP) is the most influential criterion with a weight of 41.62%, while alternative A2 achieved the highest preference value of 0.8923, making it the recommended best investigator. The developed system successfully automates the weighting, ranking, and reporting processes, thereby supporting a more objective, transparent, and measurable decision-making process. The novelty of this study lies in the development of a web-based DSS that integrates administrative and behavioral performance indicators into a single evaluation model for investigator reward selection, providing a more comprehensive assessment than conventional evaluation approaches.
Copyright (c) 2026 Ivone Djafar, Hilmansyah Gani, Alter Lasarudin, Wahyudin Hasyim https://creativecommons.org/licenses/by-sa/4.0/
Sistem Pakar Diagnosis Penyakit Penyebab Abortus Pada Ibu Hamil Menggunakan Metode Certainty Factor Berbasis-Web
Abortion can be caused by various diseases and are often not recognized at an early stage, posing serious risks to both pregnant women and their fetuses. Limited public knowledge about the early symptoms of abortion may delay apropriate medical treatment. This study aims to develop a web-based expert system to support the early consultation and diagnosis of abortion in pregnant women. The system applies the certainty factor (CF) method to calculate the confidance level of the diagnosis based on the symptoms selected by the user and the confidance values provided by medical expert. The knowledge base consists of disease data, symptoms data, Measure of belief (MB) and Measure of Disbelief (MD) values, as well as diagnostic rules obtained through expert interviews and literature review. The results show that the proposed system is capable of permorming the diagnistic process and presenting the confidance percentage for the identified disease. Funcional testing using the Black Box Testing method confirmed that all system features operated as intended. Furthmore, validation using 50 test cases compared with expert diagnoses achieved an accuracy rate of 90%. These findings indicate that the Certainty Factor method can produce diagnostic result that closely match expert judgments, making the system suitable as an initial consultation tool to assist in identifying deseases that may cause abortion in pregnant women.
Copyright (c) 2026 Adebunda Jessica, Yoseph Pius Kurniawan Kelen, Hevi Herlina Ullu https://creativecommons.org/licenses/by-sa/4.0/
Otomatisasi Monitoring Stok Logistik Terdistribusi Berbasis Rapid Application Development, GAS, dan Telegram Bot
Daily logistics reporting latency on an H+1 scale across 24 active warehouses at PT Telkom Akses Area Malang triggers the risk of delayed Network Terminal Equipment (NTE) device installations at customers' homes due to stock shortage (understock) constraints, as well as storage space inefficiency caused by asset accumulation (overstock). This condition stems from conventional workflows where warehouse admins must manually recapitulate data using passive spreadsheets. This study aims to transform this manual mechanism into a real-time automated monitoring system using the Rapid Application Development (RAD) method. The developed system integrates Google Apps Script (GAS) technology as a cloud-based computational logic hub and the Telegram Bot API as an automated notification gateway to the managerial coordination group. Inventory control is autonomously managed by a two-way control logic based on Safety Stock (SS) and Maximum Stock (Smax) parameters to monitor 8,256 units of active ONT devices. Implementation results demonstrate that this automation successfully reduces the latency of sending critical stock reports from a daily scale to under 5 seconds with a 0% error rate (zero-error rate). The main contribution of this research is providing proactive stock visibility for warehouse admins, eliminating the risk of human error due to manual input processes, and accelerating strategic decision-making in the Supply Chain division of PT Telkom Akses Area Malang to maintain service sustainability for customers.
Copyright (c) 2026 ahyu Setianto Dwi Aji, Asri Samsiar https://creativecommons.org/licenses/by-sa/4.0/
Komparasi Supervised dan Self-Supervised Learning untuk Klasifikasi Sel Darah pada Skenario Keterbatasan Data Berlabel
The development of blood cell image classification models is often hindered by the scarcity of labeled data. This study evaluates the effectiveness of supervised baseline models, supervised fine-tuning, and self-supervised learning (SSL) based on SimCLR and BYOL using the ResNet-50 and DenseNet-121 architectures. Data-limited simulation was performed using 10% labeled data for the classification stage and 90% unlabeled data for SSL pre-training on 17,092 images from 8 morphological classes. The results show that SSL achieves competitive performance, with the highest accuracy on ResNet-50 at 95.31% (SimCLR) and 94.27% (BYOL), and on DenseNet-121 at 93.75% (SimCLR) and 89.58% (BYOL). The SSL approach also demonstrated robustness against overfitting, good robustness against class imbalance, and Grad-CAM visualizations that align with medical expert assessments on ResNet-50. In conclusion, SSL effectively optimizes unlabeled data to improve the performance of classification models in scenarios with limited data annotation.
Copyright (c) 2026 Misella Mambu, Oktavian Abraham Lantang, Salaki Reynaldo Joshua https://creativecommons.org/licenses/by-sa/4.0/
Evaluasi UI/UX dan Rancang Bangun Sistem Informasi Penjualan Toko Buku Al-Fithrah Menggunakan UCD
Al-Fithrah Bookstore faces operational challenges in sales due to conventional processes that are still manual. This results in long service times, a high rate of calculation errors, and a high risk of losing report records. This study aims to design a web-based Sales Information System interface using the User-Centered Design (UCD) method. The UCD method was implemented through four iterative stages: understanding the usage context, determining user needs, designing the interface solution, and evaluating the design. This design process resulted in two main interface modules. The customer module is focused on facilitating hybrid search navigation, providing transparency in the shopping cart, and offering up-selling features. Meanwhile, the administrator module is designed to centralize master data management and automatically digitize the printing of daily through annual reports. Usability testing was conducted on 20 respondents using the System Usability Scale (SUS) instrument. The evaluation results showed a significant increase in the usability score, from an initial baseline of 38.5 (the “Awful” category) to a final score of 87.5 (the “Excellent” category). In conclusion, the UCD approach has been empirically proven to reduce users’ cognitive load, minimize interaction errors, and streamline administrative processes, thereby delivering an optimal digital experience
Copyright (c) 2026 Dori Gusti Alex Candra, Irzon Meiditra, Fauziah Fauziah, Rizky Rahmansyah, Yulia Yulia https://creativecommons.org/licenses/by-sa/4.0/
Rancang Bangun Alat Penyiraman, Pemupukan, Dan Penyemprotan Pestisida Pada Bibit Kelapa Sawit Berbasis Internet of Things
Manual care for oil palm seedlings during the nursery stage is often inefficient, labor-intensive, and prone to inaccuracies regarding the dosage and frequency of water, fertilizer, and pesticide application. This study aimed to design and develop an integrated Internet of Things (IoT)-based automation system that combines watering, liquid fertilization, and pesticide spraying functions into a single device capable of remote monitoring and control. The system was constructed using an ESP32 microcontroller, a soil moisture sensor (YL-69), a rain sensor (FC-37), a DS3231 RTC module, three DC pumps, and relays; sensor data is transmitted to the Firebase Realtime Database and displayed via a web dashboard. Test results demonstrated that the soil moisture sensor automatically activates the pump when levels fall below a 30% threshold, the rain sensor responds to weather changes in under one second, and data communication remains stable with an average delay of 1–2 seconds. This IoT system contributes to improved seedling care efficiency, evidenced by an average seedling height growth of 15 cm over 30 days, compared to 12 cm using manual methods.
Copyright (c) 2026 Wawan Hermanto, Wahyuni Eka Sari, Abdullah Hanif https://creativecommons.org/licenses/by-sa/4.0/
Klasifikasi Multilabel Artikel Ilmiah Bidang Komputer Menggunakan SciBERT dan TextCNN
The increasing number of scientific articles makes the process of searching, filtering, and organizing relevant literature more challenging. This problem becomes more complex because one scientific article can be associated with more than one research topic. This study aims to implement and evaluate a SciBERT-TextCNN model for multilabel classification of scientific articles in the Computer Science field based on title and abstract metadata. The dataset used was arXiv article metadata obtained from Kaggle and limited to Computer Science categories. The research stages included data preprocessing, Multi-Label Random Under-Sampling, tokenization using SciBERT tokenizer, model training, threshold tuning, and evaluation. The model was tested using five scenarios: SciBERT frozen and fine-tuning the last 1, 2, 3, and 4 layers. The best performance was obtained by fine-tuning the last 2 SciBERT layers, achieving precision of 0.708, recall of 0.726, F1-score of 0.715, macro F1-score of 0.649, and Hamming Loss of 0.02333. These results show that SciBERT-TextCNN can be used to support automatic multilabel classification of scientific articles.
Copyright (c) 2026 egina Nathania Agussalim, Agustinus Jacobus, Sherwin R. U. A. Sompie https://creativecommons.org/licenses/by-sa/4.0/
Usability Sistem Informasi Aparatur Sipil Negara (SIASN) Menggunakan Metode System Usability Scale (SUS) pada BKPSDM Kabupaten Gorontalo
The acceleration of digital transformation in the public sector requires reliable personnel information systems to support efficient and integrated administrative services. The State Civil Apparatus Information System (SIASN) serves as a national platform for managing personnel data and administrative processes of civil servants in Indonesia. However, its implementation at the Regional Civil Service and Human Resource Development Agency (BKPSDM) of Gorontalo Regency still faces several technical and usability-related challenges that may affect user experience and service effectiveness. This study aims to identify user constraints, measure the usability level of SIASN, and provide recommendations for system improvement. A quantitative descriptive approach was employed through data collection using questionnaires, in-depth interviews, and field observations. The study involved 30 active SIASN users, and usability data were analyzed using the System Usability Scale (SUS) instrument. The results indicate that the main obstacles experienced by users include data storage failures, slow system access during peak hours, data updates that have not taken place in real-time, complexity of menu navigation, and limitations of account recovery features. The results of the usability measurement resulted in an average SUS score of 76.4 which is included in the Good category with an Acceptable acceptance rate. These findings show that SIASN is able to support personnel administration activities well and is accepted by users. However, improving the quality of the system is still necessary through optimizing server performance, simplifying the user interface, synchronizing data in real-time, and developing a password reset feature independently. The results of this research are expected to be evaluation materials for developers to improve the quality of digital-based personnel services.
Copyright (c) 2026 Arifin Ahudulu, Alter Lasarudin, Frangky Tupamahu, Hilmansyah Gani https://creativecommons.org/licenses/by-sa/4.0/
Evaluasi Tingkat Kematangan Tata Kelola Layanan TI pada UPA-TIK Universitas Sam Ratulangi Menggunakan Framework ITIL 4
Information Technology (IT) governance plays a vital role in ensuring the alignment between IT services and institutional objectives. This study aims to evaluate the maturity level of IT governance at the Information and Communication Technology Support Unit (UPA-TIK) of Sam Ratulangi University using the ITIL 4 framework. The evaluation was conducted across 16 ITIL 4 management practices using a mixed-methods approach, combining quantitative surveys, qualitative interviews, and document validation. The findings indicate that 15 practices achieved Maturity Level 3 (Defined), while one practice, namely Continual Improvement, reached Level 4 (Managed). Gap analysis based on the Four Dimensions of Service Management revealed that the limited adoption of a centralized Information Technology Service Management (ITSM) system, reliance on informal communication channels such as WhatsApp for incident reporting, inconsistent operational documentation, and high dependency on vendors for hardware recovery are the primary factors hindering maturity improvement. Based on these findings, this study proposes a strategic implementation roadmap aligned with the five Digital Transformation Strategic Programs (PSTD) of Sam Ratulangi University for the 2024–2028 period. The study contributes by providing a more evidence-based foundation for strategic decision-making in IT governance and IT service management, thereby supporting service quality improvement and accelerating the university's digital transformation initiatives.
Copyright (c) 2026 Rafael Rivelino Lalujan, Sherwin R.U.A. Sompie, Steven Ray Sentinuwo https://creativecommons.org/licenses/by-sa/4.0/
Perancangan Aplikasi Inventaris Barang Habis Pakai Berbasis Android di SMP Negeri 1 Talang
The management of consumable goods inventory at SMP Negeri 1 Talang is currently still carried out conventionally using manual bookkeeping, making it vulnerable to data loss risks, reporting delays, and stock inaccuracies. This study aims to design and build an Android-based consumable goods inventory application to improve the efficiency and accuracy of data management in real-time. This system was developed using Android Studio with the Kotlin programming language and Firebase as the global database. The system testing methods used were Black Box Testing to test functionality and User Acceptance Testing (UAT) to test user aspects. The Black Box testing results showed that all system functions ran 100% according to the design. Meanwhile, the UAT testing results obtained a score of [85%], falling into the "Very Feasible" category. The application's implementation is proven to accelerate the goods recording and reporting process, from previously taking [2 days] to [instantly / just a few minutes] after the data is entered. Thus, this application successfully overcomes reporting delays and provides accurate and real-time inventory data for the school.
Copyright (c) 2026 Mochamad Alendaula , Rudi Heryanto https://creativecommons.org/licenses/by-sa/4.0/
Sistem Pendukung Keputusan Seleksi Penerima Beasiswa Menggunakan Metode Hibrid Fuzzy-AHP dan MOORA pada Madrasah Ibtidaiyah
The selection of scholarship recipients in educational institutions often faces challenges in objectivity and transparency of the decision-making process. Manual selection processes are prone to assessor subjectivity and require considerable time. This study aims to develop a decision support system for scholarship recipient selection using hybrid Fuzzy-AHP and MOORA methods at Madrasah Ibtidaiyah Daarul Ishlah Batam. The Fuzzy-AHP method is used to determine criteria importance weights by handling uncertainty in pairwise comparison assessments, while MOORA is used to rank students based on multi-criteria values. The system is designed as a web-based application using Laravel framework with MySQL database. Assessment criteria include academic performance, parental income, number of family dependents, non-academic achievements, attendance, and behavior. Research data uses 20 students with 120 assessment data for 6 criteria. Fuzzy-AHP calculations produce criterion weights with a Consistency Ratio of 0.0481, indicating excellent consistency. MOORA calculations successfully generate student rankings with the highest Yi value of 0.234156 to the lowest of 0.089234. System validation using black box testing shows a 100 percent success rate. This system proves capable of providing objective, transparent, and measurable scholarship recipient recommendations to support madrasah management decisions.
Copyright (c) 2026 Riki Evendi, Ahmad Zulfan https://creativecommons.org/licenses/by-sa/4.0/
Aplikasi Smart Title Checker Laporan Mahasiswa Menggunakan Metode Cosine Similarity Berbasis Website Pada Politeknik Xyz
The increasing number of student final reports each year presents challenges for higher education institutions in maintaining the uniqueness and novelty of proposed titles. The title-checking process, which is still commonly conducted manually, tends to require considerable time and may lead to inconsistencies in the validation process. This study aims to design and develop a web-based Smart Title Checker application capable of detecting the similarity level of student report titles using the Cosine Similarity method. This method is applied to measure the similarity between titles, thereby supporting a more objective validation process. The system development was carried out through several stages, including requirements analysis, design, implementation, and application testing. The results show that the application can perform title similarity checking quickly and accurately by displaying similarity percentages against stored title data in the database. The system implementation also helps students obtain initial information regarding potential title similarities and improves the efficiency of the validation process conducted by academic administrators. Therefore, the developed application can support more effective, efficient, and structured management of student report titles.
Copyright (c) 2026 Yudistira Sira Permana, Muhammad Syahril, Agus Setiawan, Satria Riki Mustafa https://creativecommons.org/licenses/by-sa/4.0/
Rancang Bangun Sistem Pakar Berbasis Web untuk Diagnosis Kerusakan Smartphone Menggunakan Metode Forward Chaining
The rapid advancement of information technology has made smartphones essential devices for supporting various daily activities. Intensive smartphone usage may lead to hardware and software failures, while users' limited knowledge in identifying these failures often results in improper troubleshooting. This study aims to design and develop a web-based expert system for diagnosing smartphone failures using the Forward Chaining method. The system was developed through requirements analysis, expert knowledge acquisition, knowledge base design, rule base construction, method implementation, and system testing. The knowledge base consists of 15 symptoms, 10 types of smartphone failures, and 20 diagnostic rules. The results of Black Box Testing showed that all system functions operated according to the specified requirements with a 100% success rate. Furthermore, validation using 20 test cases demonstrated that 19 system diagnoses were consistent with expert diagnoses, resulting in an accuracy of 95%. The developed expert system can assist users and technicians in performing initial smartphone failure diagnosis quickly, accurately, and efficiently.
Copyright (c) 2026 Atika Fauziyyah, Dori Gusti Alex Candra, Eka Sofiati, Budi Permana Putra, M. Agung Vafky Ideal, Asep Supriyanto https://creativecommons.org/licenses/by-sa/4.0/
Implementasi Aplikasi QOMARUN sebagai Sistem Informasi Pelaporan dan Pencegahan Kekerasan Berbasis Web di Pondok Pesantren Miftahul Ulum Gondok
This study aims to implement QOMARUN, a web-based information system for reporting and preventing violence in Islamic boarding schools (pondok pesantren). The study addresses the lack of a secure and transparent reporting mechanism, which causes many violence cases to remain unreported. The system was developed using the Prototyping method and implemented with Laravel framework based on the Model-View-Controller (MVC) architecture, supported by Livewire and Tailwind CSS. System evaluation was conducted through black-box testing and a user questionnaire involving one respondent with 15 Likert-scale statements. The results showed that all core system functions operated successfully, while the questionnaire achieved an average score of 3.67 out of 5, indicating positive user acceptance. The QOMARUN application provides a secure, structured, and transparent reporting mechanism and has the potential to improve violence reporting and case management in Islamic boarding schools.
Copyright (c) 2026 Satria Yudha Nugraha, Miftah Farid Adiwisastra, Yani Sri Mulyani https://creativecommons.org/licenses/by-sa/4.0/
Analisis Pelanggaran Disiplin dan Kode Etik Anggota Polri Menggunakan Decision Tree C4.5
Disciplinary and ethical violations committed by police officers can affect organizational professionalism and reduce public trust in law enforcement institutions. The management of violation records at Polresta Gorontalo Kota remains largely administrative, making it difficult to identify violation patterns and support data-driven decision-making. This study aims to analyze disciplinary and ethical violation data using the Decision Tree C4.5 algorithm to develop a classification model and decision rules. The dataset consists of police disciplinary and ethical violation records collected between 2022 and 2026. The results indicate that the violation category attribute serves as the root node of the decision tree, with the highest Gain Ratio value of 0.694. The resulting model successfully classifies violations into three sanction levels—minor, moderate, and severe—while generating interpretable decision rules. Model evaluation using a confusion matrix achieved an accuracy of 70.8%. The findings demonstrate that the C4.5 algorithm is capable of identifying patterns between violation types and sanction levels, indicating its potential as a decision-support tool for managing disciplinary and ethical violations within the Indonesian National Police.
Copyright (c) 2026 Purnama Thaib, Frangky Tupamahu, Alter Lasarudin, Hilmansyah Gani https://creativecommons.org/licenses/by-sa/4.0/
Implementasi dan Perancangan Sistem Pengelolaan dan Penyewaan Aset Berbasis Web dengan Algoritma Priority Scheduling Queue dan First In First Out (FIFO) untuk PT Indonesia Comnets Plus
The IT asset rental at PT Indonesia Comnets Plus has been facing issues with data fragmentation and conflicts in logistics distribution priorities. This study aims to develop a web-based asset management information system using the Laravel 10 framework and MVC architecture. The main solution implemented is a hybrid scheduling mechanism that integrates the Multilevel Feedback Queue (MFQ) and First In First Out (FIFO) algorithms. MFQ groups delivery queues into three priority levels based on rental dates, while FIFO ensures fair distribution within the same priority level. Function testing using Black Box Testing across five key scenarios, including Midtrans integration, a daily return penalty of 3.5%, and a due date penalty of 2%, showed 100% validity. This system successfully improves logistics efficiency and clarifies contract transparency.
Copyright (c) 2026 Lukas Lukas, Anita Ratnasari https://creativecommons.org/licenses/by-sa/4.0/
Pengembangan E-Katalog Berbasis Web untuk Digitalisasi Pemasaran Kerajinan Ulos dan Gorga Sumatera Utara pada UMKM
Traditional handicrafts such as ulos and gorga are important cultural assets of North Sumatra, yet the micro, small, and medium enterprises (MSMEs) that produce them still rely on conventional, face-to-face marketing that limits market reach and slows the regeneration of younger artisans. This study designs and builds a web-based electronic catalog (e-catalog) for ulos and gorga handicraft MSMEs to widen market access while preserving the cultural narrative behind each motif. The system was developed with the Waterfall method, covering requirement analysis, design, implementation, and testing. Requirements were gathered through interviews with three MSME partners and a review of related e-catalog studies. The system was built with the PHP CodeIgniter framework and a MySQL database, providing product catalog management, cultural-story content for each motif, an order-inquiry feature linked to WhatsApp, and an administrator dashboard. Black-box testing on 30 scenarios showed a 100% success rate, and a System Usability Scale (SUS) survey of 20 respondents produced an average score of 82.8, categorized as “Good to Excellent.” The e-catalog improves product visibility, shortens the distance between artisans and consumers, and supports preservation of ulos and gorga cultural knowledge alongside MSME economic empowerment. Specifically, the system strengthens the marketing competitiveness of partner MSMEs by replacing scattered, unstructured promotion through personal WhatsApp status and word of mouth with a single organized digital channel that presents product information and cultural narrative together, giving early indications of more effective and wider-reaching marketing communication for artisan groups that previously depended on face-to-face sales.
Copyright (c) 2026 Dedi Leman, Maulia Rahman, Basorudin Basorudin https://creativecommons.org/licenses/by-sa/4.0/
Klasifikasi Performa Akademik Siswa Menggunakan KNN Berdasarkan Keterhubungan Data Siswa dan Akademik
This study aims to apply the K-Nearest Neighbor (KNN) algorithm to classify student academic performance based on several variables, namely age, study hours, attendance percentage, additional activities, and student academic grades. Academic performance is classified into three categories: low, medium, and high. The study was conducted using a data mining approach through data preprocessing, categorical to numeric data transformation, data normalization using StandardScaler, division of training and test data, and the classification process using the KNN algorithm. To determine the best parameters, several K values ​​were tested and the optimal value of K = 1 was obtained based on the highest accuracy. The results showed that the KNN algorithm was able to classify student academic performance with an accuracy level of 96.4%. Evaluation results based on precision, recall, F1-score, and confusion matrix showed that the model had good classification performance with a relatively small error rate. In addition, the results of parameter testing showed that the selection of the K value affected the performance of the classification model. Based on the results of the study, the K-Nearest Neighbor algorithm has proven effective as a classification method to assist in analyzing student academic performance and can be an alternative to support decision-making in the field of education.
Copyright (c) 2026 Saffira Izzati, Dedy Hartama, Rizki Alfadillah Nasution https://creativecommons.org/licenses/by-sa/4.0/
Rancang Bangun Game Edukasi 2D Pengenalan Buah-Buahan Berbasis Android Menggunakan Metode Game Development Life Cycle (GDLC)
Technological developments have brought significant changes to the field of education, including early childhood education. However, there are still many learning methods that are less effective in attracting early childhood students’ interest in learning, especially in the digital era through fruit recognition game applications. Based on these issues, the problem formulation in this study is how to design and develop an engaging and interactive 2D educational game for fruit recognition aimed at early childhood learners. This study uses the Game Development Life Cycle (GDLC) method, which consists of six stages: initiation, pre-production, production, testing, beta, and release. The game was developed using Construct 2 and is intended for Android devices to make it easily accessible for early childhood users. The purpose of this study is to create an enjoyable and effective learning medium for early childhood children to learn fruit recognition while increasing learning interest through interactive digital media. The result of this study is the creation of an educational game that can be used as an alternative learning medium, helping early childhood children recognize various types of fruits in a fun, interactive, and more engaging way. Black box testing showed that all features functioned successfully, and beta testing involving teachers and the school principal obtained an average score of 89%, placing the game in the “very feasible” category as a fruit-recognition learning medium.
Copyright (c) 2026 Tito Surya, Tommy Bustomi, Farindika Metandi https://creativecommons.org/licenses/by-sa/4.0/
Komparasi Metode K-Means dan Hierarchical Clustering untuk Pengelompokan Pola Bermain Pemain Mobile Legends
The rapid growth of Mobile Legends: Bang Bang esports produces large volumes of gameplay statistics that remain underutilized beyond individual match summaries. This study compares K-Means and Hierarchical Clustering to group player playstyles using five gameplay variables (kill, death, assist, gold, and match duration) from 990 valid records in the MPL Cambodia Season 6 - BoxMatch dataset, following CRISP-DM preprocessing and Min-Max normalization. The Elbow Method identified K=3 as the optimal number of clusters. K-Means produced three interpretable groups - Carry/Damage Dealer, Late Game Fighter, and Sacrificial/Tank - with a Silhouette Score of 0.252 and a balanced distribution (42.6%, 18.5%, 38.9%), outperforming Hierarchical Clustering with Ward linkage (Silhouette Score 0.2203, less balanced distribution). The results were deployed into an interactive Flask-based web application for dataset upload, clustering visualization, and method comparison, which was validated through black box testing. This research demonstrates that combining clustering with web-based visualization can effectively reveal player playstyle patterns from competitive Mobile Legends gameplay statistics.
Copyright (c) 2026 Savior Podung, Reynaldo Joshua Salaki https://creativecommons.org/licenses/by-sa/4.0/
Sistem Informasi Inventaris Barang Berbasis Web pada Satker Bid TIK Polda Gorontalo
Inventory management is an important activity in supporting the operational performance of an organization. At the Information and Communication Technology Division (Bid TIK) of the Gorontalo Regional Police, inventory management is still carried out manually using spreadsheets, resulting in several problems such as recording errors, data duplication, difficulties in retrieving item information, and delays in report preparation. This study aims to design and develop a web-based Inventory Information System (SIMBAR) to improve the effectiveness and efficiency of inventory management. The system was developed using the Waterfall method, which consists of requirements analysis, system design, implementation, testing, and maintenance stages. PHP was used as the programming language, while MySQL served as the database management system. The developed system provides features for inventory data management, incoming and outgoing goods transactions, asset borrowing and returning, stock monitoring, and inventory reporting. System testing was conducted using the Black Box Testing method to ensure that all system functions operated according to user requirements. The testing results showed that all system modules achieved a valid status based on Black Box Testing. The results of this study indicate that the system improves the accuracy of inventory data management, accelerates data recording and retrieval processes, facilitates real-time stock monitoring, and speeds up inventory report generation. Therefore, the developed system can support a more effective, efficient, and integrated inventory management process at the Information and Communication Technology Division (Bid TIK) of the Gorontalo Regional Police.
Copyright (c) 2026 Desi A Yusuf, Wahyudin Hasyim, Hilmansyah Gani, Frangky Tupamahu https://creativecommons.org/licenses/by-sa/4.0/
Klasifikasi Pegawai Terbaik Triwulan pada BPS Provinsi Gorontalo Menggunakan Algoritma Naïve Bayes
The selection of the best employee is an important performance evaluation process aimed at improving employee motivation and productivity. At the Statistics Indonesia (BPS) of Gorontalo Province, the selection process still involves subjective considerations, which may affect the consistency and objectivity of decision-making. Therefore, a data-driven approach is needed to support the evaluation process. This study aimed to implement the Naïve Bayes algorithm to classify the best quarterly employee based on employee performance assessment data. The dataset consisted of performance records from 54 employees of BPS Gorontalo Province collected from the first quarter of 2023 to the fourth quarter of 2024. The classification process utilized BerAKHLAK behavioral indicators, discipline indicators, and Employee Performance Achievement (CKP) as predictor variables, while the target variable was employee status, namely best employee and non-best employee. The research stages included data preparation, data transformation, training and testing data partitioning, model development using the Naïve Bayes algorithm, and model evaluation using a confusion matrix with accuracy, precision, recall, and F1-score metrics. The evaluation results showed that the proposed model achieved an accuracy, precision, recall, and F1-score of 100%, indicating high classification performance on the dataset used in this study. These findings demonstrate that the Naïve Bayes algorithm is effective in classifying employee performance and can be utilized as a decision-support tool for determining the best quarterly employee. The implementation of this method is expected to enhance the objectivity, consistency, and transparency of employee performance evaluation at Statistics Indonesia (BPS) of Gorontalo Province.
Copyright (c) 2026 Hanna Fidri Mardiny, Frangky Tupamahu, Hilmansyah Gani, Khairul Fathan Habie https://creativecommons.org/licenses/by-sa/4.0/
Pendeteksi Penyakit Daun Kentang Menggunakan Algoritma Convolutional Neural Network (CNN)
Potato leaf disease is one of the main problems in potato cultivation because it can reduce plant quality, decrease crop yield, and cause economic losses for farmers. Manual disease detection still has limitations because it depends on farmers’ experience and is prone to errors, especially when disease symptoms have similar visual characteristics. This study aims to apply the Convolutional Neural Network (CNN) algorithm to predict potato leaf diseases based on digital images. The dataset used in this study was obtained from Kaggle and consisted of 1,500 potato leaf images divided into three classes: healthy leaves, early blight, and late blight. The research stages included dataset collection, data splitting into training, testing, and validation data, CNN modeling using Jupyter Notebook, model training with 50 epochs, model evaluation using a Confusion Matrix, and model implementation into a web-based system using Flask. The test results show that the CNN model was able to classify potato leaf diseases with an accuracy of 97%. These results indicate that CNN is effective in recognizing visual patterns in potato leaf images, such as color changes, spots, and leaf damage. This study is expected to serve as a basis for developing an early detection system for potato leaf diseases that is faster, more accurate, and easier for farmers to use.
Copyright (c) 2026 Arvi Pramudyantoro, Muhamad Kurniawan, Hendi Hendra Bayu https://creativecommons.org/licenses/by-sa/4.0/
Pengembangan Aplikasi To-Do List Adaptif Berbasis Android untuk Intervensi Distraksi Digital
Academic procrastination is a common problem among university students and can be intensified by digital distractions from social media notifications and entertainment applications on smartphones. A preliminary study involving 40 students from the Faculty of Engineering at Sam Ratulangi University showed that 72.5% of respondents frequently completed assignments close to deadlines, 80.0% were often distracted while working on assignments, and 60.0% experienced difficulty maintaining focus. Existing to-do list applications are generally passive, as they mainly function as task recording and reminder tools without active mechanisms to help users limit digital distractions. This study aims to design and develop an Android-based adaptive to-do list application named MyTask, equipped with proactive intervention features. The development method used was Research and Development (R&D) with the ADDIE model. The application was developed using a hybrid approach, combining a Flutter-based user interface with native Android services to support distraction application blocking and notification filtering based on the urgency level of user tasks. User experience evaluation was conducted with 20 student participants using the User Experience Questionnaire (UEQ), which consists of 26 items across six measurement scales. The results showed that all UEQ scales achieved an Excellent classification, with the highest score obtained by Efficiency (2.450) and the lowest score by Novelty (1.950). These findings indicate that MyTask is feasible to use and well received from a user experience perspective. However, this study did not directly measure the application’s effectiveness in reducing procrastination; therefore, further experimental evaluation is required.
Copyright (c) 2026 Michael Reynald Manoppo Manoppo, Salvius Paulus Lengkong Lengkong, Salaki Reynaldi Joshua Salaki https://creativecommons.org/licenses/by-sa/4.0/
Implementasi Hybrid Cloud Berbasis NAS untuk Backup Otomatis Data Transaksi POS Qasir
Vape Paradise relies on the Qasir Point of Sale (POS) application to manage sales transactions; however, transaction data is still backed up manually, increasing the risk of data loss and reducing data availability. Previous studies have mainly focused on Network Attached Storage (NAS) as a local storage solution, while the integration of NAS with automated cloud backup for retail transaction systems remains limited. Therefore, this study aims to implement a hybrid cloud backup system by integrating a Samba-based NAS with Google Drive to provide automated and reliable transaction data backup. The proposed system was developed through network design, NAS configuration, automated synchronization using Task Scheduler and Robocopy, and system testing. Experimental results demonstrate that transaction files were successfully synchronized automatically to both NAS and Google Drive, while network connectivity achieved 0% packet loss, indicating stable communication during the backup process. The proposed hybrid cloud backup system enhances data security, availability, and backup efficiency, providing a cost-effective solution for protecting transaction data in retail business environments.
Copyright (c) 2026 Muhammad Rafif Ulwan, Desi Ramayanti https://creativecommons.org/licenses/by-sa/4.0/
Rancang Bangun Aplikasi Berbasis Android dalam Mengembangkan UMKM Lapangan Futsal di Kota Medan
The development of futsal field Micro, Small, and Medium Enterprises (MSMEs) in Medan City faces obstacles in terms of disseminating field rental information to the wider community. Field owners struggle to promote their services, while customers often experience difficulties finding information about available fields and must visit locations directly. This research aims to produce an Android-based application that connects futsal field owners with customers to facilitate the information and field rental process in Medan City. The research methods used include data collection through literature study, observation, and field surveys. The research results show that the application can function properly based on black box testing of all features. The application successfully facilitates field owners in providing digital field rental information and makes it easier for customers to search for and rent futsal fields without having to come directly to the location. This application is expected to support the development of MSMEs in the sports sector, particularly futsal fields in Medan City.
Copyright (c) 2026 Fidelis Elinus Zebua, Arjon Samuel Sitio, Taufik Ismail Simajuntak https://creativecommons.org/licenses/by-sa/4.0/
Pengembangan dan Pengujian Performa Progressive Web App pada Sistem Reservasi Ruangan Fakultas Teknik Universitas Sam Ratulangi
The manual room reservation process at the Faculty of Engineering, Sam Ratulangi University leads to uncertain application status, scheduling conflicts, and limited transparency. Existing reservation practices also lack offline accessibility and installable web capabilities. This study aims to develop and evaluate a Progressive Web App (PWA)-based room reservation system to improve accessibility while maintaining performance. The system was developed using the Rapid Application Development method and evaluated through automated black box testing with Selenium and performance testing using Google Lighthouse. Performance measurements were conducted on four representative pages using Google Chrome and Lighthouse under online and offline scenarios, with each test repeated three times on the same desktop environment. The PWA achieved average performance scores of 100 for cache-offline and cache-online scenarios, 98.5 for no-cache offline, and 96 for no-cache online. The non-PWA version achieved average scores of 99.75 and 96.25 under online conditions but could not function offline. These results demonstrate that the proposed PWA provides installation capability and limited offline access while maintaining online performance comparable to a conventional web application, making it a practical solution for room reservation services in higher education.
Copyright (c) 2026 Veronica Waeo, Alwin Melkie Sambul, Salaki Reynaldo Joshua https://creativecommons.org/licenses/by-sa/4.0/