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INDONESIA
Jurnal Riset Sistem Informasi
Published by CV. Denasya Smart Publisher
ISSN : 30479029     EISSN : 30479010     DOI : 10.69714
Core Subject : Science, Education,
Computer Science & IT Education Other
Jurnal Riset Sistem Informasi (JISSI) dengan 3047-9010, p-ISSN : 3047-9029 diterbitkan oleh Denasya Smart Publisher. Jurnal Riset Sistem Informasi(JISSI) memuat naskah hasil-hasil penelitian di bidang Sistem Informasi. Jurnal Riset Sistem Informasi (JISSI) berkomitmen untuk memuat artikel berbahasa Indonesia yang berkualitas dan dapat menjadi rujukan utama para peneliti dalam bidang ilmu Rekayasa Sistem, Teknologi Informasi, Sistem Informasi, Ilmu Komputer, Manajemen,Manajemen Informatika dan Bisnis. Jurnal ini terbit 1 tahun 4 kali (Januari, April, juli dan oktober).
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 137 Documents
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RANCANG BANGUN SISTEM INFORMASI ABSENSI SISWA BERBASIS WEB MENGGUNAKAN QR CODE DENGAN FITUR LAPORAN OTOMATIS PADA SDN CIPAYUNG 01 Jaswa Ariansya; Titania Aulia Azahra
Jurnal Riset Sistem Informasi Vol. 3 No. 4 (2026): Oktober: Jurnal Riset Sistem Informasi
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/g30h7v28

Abstract

The development of information technology has significantly influenced various fields, including education. SDN Cipayung 01 still uses a manual student attendance system that relies on attendance books, requiring considerable time and risking recording errors. Based on these problems, a web-based student attendance information system using QR Code with automatic report features was developed. The system was built using the PHP programming language and MySQL database, accessible through a web browser. Students simply scan their QR Code to record attendance, which is then automatically saved to the database. Testing results show that the QR Code-based attendance system reduces attendance time from 10-15 minutes to 2-5 minutes per class, achieving approximately 66% time efficiency. All system features performed successfully in functional testing, including login, QR scanning, student data management, daily recaps, monthly reports, and CSV export.
ANALISIS KOMPARATIF MODEL KLASIFIKASI KEBUGARAN DAN EVALUASI REGRESI PREDIKSI KALORI DAN CHATBOT PADA EKOSISTEM FITTRACK AI Putra Hikmah Febryan; Eka Asa Setyaning Pratiwi; Asif Faroqi; Dhian Satria Yudha Kartika
Jurnal Riset Sistem Informasi Vol. 3 No. 3 (2026): Juli : Jurnal Riset Sistem Informasi
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/w3de9498

Abstract

Interpreting physiological health data and self-reported nutrition records often poses a computational challenge for non-expert users. Therefore, this study aims to conduct a comparative analysis of fitness level classification modeling and predictive calorie regression evaluation. Both are integrated into a unified health tracking ecosystem called FitTrack AI. The performance of the Random Forest, XGBoost, and Support Vector Machine (SVM) algorithms was comprehensively compared for multi-class classification. Meanwhile, calorie burn estimates were evaluated using the Random Forest Regressor. As a holistic system, this ecosystem is also supported by body weight projection analysis (Linear Regression), dietary pattern mining (Apriori), and an automated logging interface based on a Large Language Model (Groq API). Test results show that XGBoost is the best classification model, with an accuracy rate of 76.37%, outperforming other algorithms. In the calorie prediction regression test, the model achieved highly accurate performance with a coefficient of determination (R²) of 0.996. In terms of ecosystem functionality, the interactive virtual assistant (FitBot) recorded a 90.0% success rate in executing tool calls for data entry and achieved a System Usability Scale (SUS) score of 90.1 (Very Good category). Overall, this multi-model analytical approach has proven to be robust and effective in translating the complexity of biological data into comprehensive and personalized digital health insights.
ANALISIS PERKEMBANGAN ARTIFICIAL INTELLIGENCE DALAM SISTEM KESELAMATAN AKTIF KENDARAAN OTOMOTIF DI ERA MODERN Nicholas Nicholas; Nico Saputra; Dorie P. Kesuma
Jurnal Riset Sistem Informasi Vol. 3 No. 3 (2026): Juli : Jurnal Riset Sistem Informasi
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/0xhvtr51

Abstract

The rapid development of Artificial Intelligence (AI) has significantly transformed the automotive industry, particularly in active vehicle safety systems. AI enables vehicles to perceive their environment, make decisions in real time, predict risks, and adapt safety features according to driver characteristics. This study aims to analyze the development of AI in active automotive safety systems, identify its primary roles, evaluate its impact on accident prevention, and examine the implementation challenges from technical, regulatory, and ethical perspectives. This research employs a qualitative descriptive approach using a literature review method. Data were collected from scientific journals, conference proceedings, international standards, dissertations, and preprint repositories related to AI-based automotive safety technologies. The findings indicate that AI has evolved from simple object detection systems into advanced technologies capable of driver cognitive state inference, predictive safety analysis, and autonomous decision-making. AI-based systems such as Automatic Emergency Braking (AEB), Adaptive Cruise Control (ACC), and Driver Monitoring Systems (DMS) have demonstrated significant contributions to reducing accident risks and injury severity. However, challenges remain regarding adverse weather conditions, mixed traffic environments, model uncertainty, certification frameworks, and ethical accountability. The study concludes that AI has substantial potential to improve road safety, but successful implementation requires robust technical development, adaptive regulations, and comprehensive safety assurance mechanisms.
SISTEM INFORMASI PELANGGARAN SANTRI ASRAMA AL – KHUZAIMAH PONDOK PESANTREN SALAFIYAH SYAFI’IYAH BERBABIS WEB Abdus Somad; Wiwik Handayani; Muyessiroh Muyessiroh; Isyqy Najwa Salsabila
Jurnal Riset Sistem Informasi Vol. 3 No. 3 (2026): Juli : Jurnal Riset Sistem Informasi
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/zkwap632

Abstract

The development of information technology has provided significant benefits in data management and information dissemination across various sectors, including educational institutions such as Islamic boarding schools. One of the challenges frequently encountered is the manual recording of student violations, which often leads to difficulties in data management, information retrieval, report preparation, and monitoring student discipline. This condition was also found at Al-Khuzaimah Dormitory of Salafiyah Syafi’iyah Islamic Boarding School, where violation records were still maintained using conventional administrative books, resulting in inefficiencies and a higher risk of errors in data processing. This study aims to design and develop a Web-Based Student Violation Information System to assist dormitory administrators in managing student data, violation records, sanctions, and reports in an integrated manner. The research employed a qualitative approach, with data collected through observation, interviews, and documentation studies. The system development process adopted the Waterfall model, which consists of requirements analysis, system design, implementation, integration, and testing stages. The application was developed using PHP as the programming language, MySQL as the database management system, and XAMPP as the local web server. The results indicate that the developed system is capable of facilitating the recording of student violations, managing student information, administering sanctions, and generating reports in a more structured manner. Furthermore, the system improves the speed, accuracy, and security of data management compared to the previous manual approach. Therefore, the implementation of this web-based information system contributes to enhancing administrative efficiency and supports administrators in monitoring and evaluating student discipline more effectively.
RANCANG BANGUN DAN SIMULASI GERBANG TOL OTOMATIS BERBASIS ARDUINO UNO DENGAN SENSOR HC-SR04 MENGGUNAKAN PLATFORM WOKWI Akhlis Munazilin; Nur Ayu Wahyuningyati; Nurani Nurani; Putri Ilma
Jurnal Riset Sistem Informasi Vol. 3 No. 3 (2026): Juli : Jurnal Riset Sistem Informasi
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/rz0k2x13

Abstract

The increasing demand for efficient traffic management at toll gates has encouraged the adoption of automation technologies to reduce vehicle congestion and improve operational performance. This study aims to design and simulate an automatic toll gate system based on an Arduino Uno using the Wokwi simulation platform. The proposed system utilizes an HC-SR04 ultrasonic sensor to detect the presence of vehicles, a servo motor to control the movement of the gate barrier, and LEDs as visual indicators of the gate status. The research method consists of system design, programming, simulation, and functional testing. Simulation results indicate that the toll gate operates automatically by opening when a vehicle is detected within a distance threshold of ≤ 10 cm and closing automatically when the object is no longer within the detection range. All system components performed according to the designed operational scenarios. The findings demonstrate that the Wokwi platform is an effective tool for developing and testing microcontroller-based automation systems and can serve as a practical learning medium for automation and embedded systems education.
PENGEMBANGAN DASHBOARD INTERAKTIF MENGGUNAKAN FRAMEWORK STREAMLIT UNTUK VISUALISASI DATA PERSEBARAN USAHA DI KOTA SURABAYA Septia Dea Rosita; Lisa Dwi Anggraini; Arifa Damayanti; Fiona Christina Subianto; Doddy Ridwandono
Jurnal Riset Sistem Informasi Vol. 3 No. 3 (2026): Juli : Jurnal Riset Sistem Informasi
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/vs53y594

Abstract

The development of information technology has transformed the way statistical data is managed, analyzed, and presented, moving from static tables to interactive web-based visualizations. Interactive data presentation is considered to enhance users' ability to explore information in greater depth than static descriptive presentations. However, achieving interactive visualization is not simple, as it requires thorough dataset management, from data cleaning and validation to data transformation, as well as appropriate analysis methods to ensure the results are truly informative and easy to interpret. This article sequentially discusses these three main aspects: dataset management, data analysis methods, and interactive visualization approaches, as well as a case study of developing a web-based dashboard using Python and Streamlit. The discussion includes the data cleaning and preparation process, analysis techniques used to identify patterns and trends, and the implementation of interactive components such as dynamic charts, filters, and navigation elements on the dashboard interface. The results of this approach demonstrate that the combination of systematic data management with web visualization can produce information presentations that are more communicative, easily accessible, and support users' independent data exploration.
CERTAINFACE SISTEM PAKAR BERBASIS WEB UNTUK IDENTIFIKASI TIPE KULIT WAJAH MENGGUNAKAN METODE CERTAINTY FACTOR SEBAGAI MEDIA EDUKASI PERAWATAN KULIT Refida Septiana Putri; Iqrom Danang Putra; Sitaresmi Wahyu Handani
Jurnal Riset Sistem Informasi Vol. 3 No. 3 (2026): Juli : Jurnal Riset Sistem Informasi
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/ahwges69

Abstract

Identifying facial skin type is a crucial first step in selecting appropriate skincare products, yet many individuals lack access to affordable dermatological consultations. This study developed a web-based expert system for facial skin type identification using the Certainty Factor (CF) method, implemented via the Laravel framework. The system diagnoses five skin types normal, dry, oily, combination, and sensitive based on 13 symptoms derived from dermatological literature. CF values ​​were sourced from published studies and serve as the system's Knowledge Base. Users input their level of confidence regarding the symptoms they experience; these inputs are combined with expert CF values ​​to calculate confidence scores for each skin type, with the highest-scoring type designated as the diagnosis result. The system also provides educational skincare articles tailored to each skin type. Development results demonstrate that the CF method effectively handles the subjectivity and uncertainty inherent in symptom-based diagnosis, enabling the system to serve as an initial screening tool for the public prior to seeking professional consultation.

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