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All Journal JuSTISe: Journal Data Science, Technology, Informatics and Security
Yasri
Universitas Kebangsaan Republik Indonesia

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Smart HVAC: Monitoring dan Kontrol Berbasis IoT dengan Fuzzy Logic Mamdani Esa Aprillah; Yasri; Subhanjaya Angga Atmaja
Journal Data Science, Technology, Informatics and Security Vol 2 No 2 (2024): Journal Data Science, Technology, Informatics and Security (Desember 2024)
Publisher : Universitas Kebangsaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31848/justise.v2i2.4309

Abstract

The development of the Internet of Things (IoT) has driven the implementation of more efficient automation systems, including HVAC (Heating, Ventilation, and Air Conditioning) control. This study designs and implements an IoT-based HVAC monitoring and control system using a NodeMCU ESP8266, DHT11 sensors, relays, webcams, and the Mamdani Fuzzy Logic algorithm integrated with the Blynk application. The case study was conducted in the CV. Sukses Berkarya office, which requires stable temperature and humidity. The system is able to read temperature-humidity data, process it using fuzzy logic, and automatically control the air conditioning. Furthermore, YOLOv8 integration with the webcam is used to detect the number of people in the room as an additional parameter. Test results show that the system can maintain the room temperature within the ideal range of 18–30°C, reduce energy waste, and facilitate remote monitoring and control. This study demonstrates that the combination of IoT, fuzzy logic, and visual detection can produce an adaptive, efficient, and user-friendly HVAC system.
Monitoring Greenhouse dan Penyemprotan Cerdas Berbasis IoT pada Budidaya Kentang Lutfy Fauzy Firmansyah; Yasri; Alkautsar Rahman
Journal Data Science, Technology, Informatics and Security Vol 3 No 1 (2025): Journal Data Science, Technology, Informatics and Security (Juni 2025)
Publisher : Universitas Kebangsaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31848/justise.v3i1.4315

Abstract

Potato productivity is often disrupted by pest attacks, leading to reduced yields. This research implements an IoT-based early warning system for pest detection and automated pesticide spraying on potato plants in a greenhouse. The system utilizes the YOLOv5 algorithm to detect armyworms and aphids using a mobile phone camera, supported by a NodeMCU microcontroller, soil moisture sensors, and the Blynk platform for real-time monitoring. A rule-based decision tree approach is used to regulate automatic spraying when the pest detection confidence level exceeds 70%. Field trials in Cibeureum Village, West Java, demonstrated a detection accuracy of 85% with a response time of 3–5 seconds. These results demonstrate the ability to reduce excessive pesticide use compared to manual methods and increase pest control efficiency. This smart farming system also provides real-time notifications via the Blynk app, facilitating remote monitoring and control by farmers. This implementation supports the concept of precision agriculture by optimally utilizing pesticides, maintaining productivity, and promoting sustainable agricultural practices.
Penerapan YOLOv4 dan Sensor Laser untuk Keamanan Kebun Anggur Brazil Rizky Muharam; Yasri; Ocsar Hadikaryana
Journal Data Science, Technology, Informatics and Security Vol 4 No 1 (2026): Jurnal Data Science, Technology, Informatics and Security (Juni 2026)
Publisher : Universitas Kebangsaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31848/justise.v4i1.4318

Abstract

Agricultural security is crucial for maintaining productivity and business sustainability, particularly for high-value commodities such as grapes. The threat of theft and disturbance by wild animals, such as wild boar, often causes significant losses in vineyards. This study proposes an intelligent surveillance system integrating laser sensors with the YOLOv4 (You Only Look Once) algorithm to enhance agricultural security through automated, real-time detection. The laser sensor functions as an early motion-detection mechanism, while the ESP32-CAM module captures visual imagery for subsequent analysis using the YOLOv4 model to achieve precise object classification. The system also incorporates Internet of Things (IoT) connectivity via the Blynk platform for real-time remote monitoring. Test results show that the system achieves 85% detection accuracy during daytime and 78% at night, with an average response time of one second from detection to notification.
Implementasi Tanda Tangan Digital untuk Meningkatkan Efisiensi Administrasi Anggota Pramuka Saka Wira Kartika di Kodim 0610/Sumedang Daffa Fadhlurohman; Yasri; Iim Abdurrohim
Journal Data Science, Technology, Informatics and Security Vol 3 No 1 (2025): Journal Data Science, Technology, Informatics and Security (Juni 2025)
Publisher : Universitas Kebangsaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31848/justise.v3i1.4319

Abstract

Membership administration in Scout organizations is still mostly conducted manually, including member data recording, membership card (KTA) issuance, and announcement distribution. Manual processes often lead to issues such as delays in data collection, difficulties in searching for information, and the risk of document loss. Therefore, a digital system is required to manage membership administration more efficiently and securely. This research produces a Web-Based Scout Membership Administration System, developed using Node.js, Express, and Prisma ORM on the backend, and React.js with Tailwind CSS on the frontend. The system provides main features such as member registration and biodata management, KTA issuance in PDF format with an embedded QR Code, member data validation by the administrator, and announcement management. To enhance security, each KTA is embedded with a digital signature using the Ed25519 algorithm, allowing the authenticity of the data to be verified through QR Code scanning. The testing results show that this system is able to simplify the administrator’s tasks in validating and managing member data, while also providing convenience for members in accessing information and obtaining their KTA quickly. The implementation of digital signatures ensures data integrity and security, making the administrative process more effective, efficient, and reliable.
Co-Authors Alkautsar Rahman Daffa Fadhlurohman Esa Aprillah Iim Abdurrohim Lutfy Fauzy Firmansyah Ocsar Hadikaryana Rizky Muharam Subhanjaya Angga Atmaja