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All Journal JOURNAL OF HEALTHCARE TECHNOLOGY AND MEDICINE JET (Journal of Electrical Technology) Unes Law Review INFOKUM Jurnal Scientia Instal : Jurnal Komputer International Journal of Educational Review, Law And Social Sciences (IJERLAS) Jurnal Ekonomi Sungkai sudo Jurnal Teknik Informatika Jurnal Nasional Teknologi Komputer Elektriese: Jurnal Sains dan Teknologi Elektro Jurnal Masyarakat Indonesia Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) Jurnal Ilmu Psikologi dan Kesehatan Journal of Artificial Intelligence and Digital Business Journal of General Education Science Prosiding Seminar Nasional Teknik UISU (SEMNASTEK) International Journal of Economic, Technology and Social Sciences (Injects) Buletin Utama Teknik Power Elektronik : Jurnal Orang Elektro International Journal of Society and Law
Beni Satria
Universitas Pembangunan Panca Budi, Medan, North Sumatera, Indonesia
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Journal : Instal : Jurnal Komputer

 1 
Analysis of IoT Design for Monitoring Electrical Energy Use in Homes Afandi, Reza; Satria, Beni; Aryza , Solly
Bahasa Indonesia Vol 17 No 02 (2025): Instal : Jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalinstall.v17i02.361

Abstract

The need for electrical energy efficiency is increasing along with the high cost of energy and concerns about environmental impacts. At the household scale, electrical energy waste often occurs due to the lack of effective monitoring. Internet of Things (IoT) technology offers an innovative solution by enabling real-time monitoring of energy consumption through connected devices. This study aims to design and implement an IoT system based on NodeMCU ESP32 and PZEM-004T sensor to monitor electrical energy usage in households. The research method involves the integration of current and voltage sensors with an ESP32 microcontroller, which is connected via a Wi-Fi network for data collection. The data collected includes electrical parameters such as voltage, current, power, and energy, which are then displayed in real-time through a user interface. The results show that this system is able to monitor energy consumption with good accuracy, detect energy waste patterns, and provide early warnings of electricity usage anomalies. This system also increases user awareness of energy consumption, thereby reducing electricity waste and supporting energy conservation efforts. Thus, this study contributes to the development of IoT technology for more efficient and sustainable household energy management.
Analysis of Toxic Gas Detection System Design with IoT-Based Gas Sensors Maulana, M. Rizky; Satria, Beni; Aryza, Solly
Bahasa Indonesia Vol 17 No 02 (2025): Instal : Jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalinstall.v17i02.362

Abstract

Increasing industrial activities and urbanization have caused significant air pollution, including emissions of toxic gases such as hydrogen sulfide (H₂S) and ammonia (NH₃) which are harmful to human health and the environment. This study aims to design and implement an Internet of Things (IoT)-based toxic gas detection system using MQ-136 and MQ-137 sensors integrated with an ESP32 microcontroller. This system is designed to monitor toxic gas concentrations in real-time and send data to an IoT platform such as Blynk for visualization and notification. The research methods include system design, sensor integration with ESP32, data processing algorithm development, and system performance testing under various environmental conditions. The results show that the system is able to detect H₂S and NH₃ gases with good accuracy, provide automatic notification when gas concentrations exceed the threshold, and monitor air quality in real-time through the Blynk application. This system also shows high response speed and good stability during testing. Thus, this study provides an innovative solution for air quality monitoring in industrial and household environments, as well as supporting efforts to improve public safety and health.
PERFORMANCE ANALYSIS OF LITHIUM-ION BATTERY CHARGER SYSTEM Samosir, Daniel Junaedi; Satria, Beni; Aryza, Solly
Bahasa Indonesia Vol 16 No 06 (2025): Instal : Jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalinstall.v16i06.348

Abstract

Lithium-ion battery chargers have become one of the important components in various modern applications, especially in electronic devices and electric vehicles. This study aims to analyze the performance of a lithium-ion battery charger system in terms of charging efficiency, voltage stability, charging current, and safety during the charging process. In this study, the constant current (CC) and constant voltage (CV) charging methods are used as the basis for analyzing the performance of the charging system. Data were taken through real-time measurements of key parameters such as charging time, temperature changes, and power efficiency under various charging conditions. The results showed that the performance of the charger system was influenced by several factors, including the stability of the power supply and heat management during the charging process. Tests also showed that the CC-CV mode was able to maintain battery safety by preventing overcharge, and provided better charging efficiency at certain voltage ranges. Through this study, it is expected to provide a better understanding of the optimization of lithium-ion battery charger systems to improve overall battery performance and life.
IMPLEMENTATION OF LBPH ALGORITHM IN AUTOMATIC DOOR OPENING SYSTEM WITH FACIAL RECOGNITION Stepanus.S, Ronaldo; Satria, Beni; Dani, Ahmad
Bahasa Indonesia Vol 16 No 06 (2025): Instal : Jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalinstall.v16i06.349

Abstract

Automatic door opening system with facial recognition is an application that is widely used to improve security and comfort in various fields, such as offices, homes, and other limited areas. This study implements the Local Binary Pattern Histogram (LBPH) algorithm in an ESP32-based automatic door opening system integrated with an OV2640 camera. LBPH was chosen because of its superiority in recognizing faces even with varying lighting conditions and imperfect image quality. This system works by capturing facial images through an OV2640 camera, then processing the image using the LBPH algorithm to extract facial features. The results of facial recognition are then sent to the ESP32 which controls the automatic door locking system. In this implementation, the ESP32 is used as a microcontroller to connect the camera, data processing, and control the door actuator. Tests were conducted to measure the accuracy of facial recognition and system performance in opening the door. The test results show that the system can recognize faces with a high level of accuracy and open the door automatically in a short time, thereby increasing the efficiency and security of the system.
Development of IoT Based Smart Grid System for Monitoring And Management of Electrical Energy Distribution Sianturi, Barata Mandala; Satria, Beni; Tarigan, Amani Darma
Bahasa Indonesia Vol 16 No 06 (2025): Instal : Jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalinstall.v16i06.350

Abstract

This study aims to develop a smart grid system based on the Internet of Things (IoT) to improve efficiency and sustainability in monitoring and managing electrical energy distribution. Smart grid is a modern electrical network that utilizes communication and information technology to integrate various components in the energy distribution system. IoT technology allows real-time data collection from sensors spread across various points, thus providing accurate information regarding energy consumption, network conditions, and potential disruptions. The research methodology includes designing the IoT system architecture, developing software for data analysis, and testing system performance through simulation and implementation on a limited scale. The data obtained is analyzed using an artificial intelligence (AI)-based predictive algorithm to detect anomalies and provide recommendations for energy distribution management. The results of the study show that the developed system is able to increase energy distribution efficiency by up to 25% and reduce the duration of disruptions by up to 40%. In addition, this system allows for faster and data-based decision making in energy management. In conclusion, the development of an IoT-based smart grid system can be an innovative solution to face the challenges of electricity distribution in the modern era, while supporting the implementation of sustainable energy.
Co-Authors Abdi Santoso Abdullah Muhazzir Abdullah Muhazzir Abdullah Muhazzir Adi Sastra P Tarigan Afandi, Reza Ahmad Daffa Ahmad Dani Ahmad Rizal Nurika Alam, Hermansyah Ali Akbar Berutu Alim Muflih Alprindo Sembiring Meliala Amani Darma Tarigan Amani Darma Trg Annisa, Selly Apriandi Apriandi Asni Ati Mutia Bahtera Kelana Berthauli S. Berthauli. S Bestari Putra Lase Bintang Tua Sitohang Dalimunthe, Erpandi Dedek Yuhendri Denny Syahputra Dicky Lesmana Dicky Lesmana Eddy Sutejo, Eddy Edward Bahar Ermando Sihombing Erpandi D Erpandi, M Erpita Samosir Fachry Reza Fitriani, Arifah Devi Gultom, Dedi Harianto Gustiar Martua Siregar Habib Syahputra Banurea Hafiz Al Hakim Nasution Haikal Nando Winata Haikal Nando Winata Haikal Nando Winata Hamdani Hamdani . Hamdani Hamdani Harahap, Juliandi Hermansyah Alam Hermansyah Alam Hermansyah Alam Ismunandar, M. Syuhadawan Jhon Wandes P. Hutagaol Jon Timo Bariman M Juneidi Injos II S Kristian Simanjuntak Lungguk Adi Saputra M Iqbal M. Erpandi Dalimunte M. Iqbal M. Irwansyah M. Syuhadawan Ismunandar Marthin Hotniel Marisi Arigatho Simbolon Maulana, M. Rizky Mery Sri Wahyuni Mery Sri Wahyuni Mery Sri Wahyuni Mhd Erpandi Dalimunthe Muhammad Erpandi Dalimunthe Muhammad Rizki Syahputera Mulia Supiadi Silalahi Nawawi, Ikram Novita Delima Siahaan Nugraha Krianto Siregar Nuraprilyani Pasaribu Parlin Siagian Pristisal Wibowo Putra, Bhima Andika Rahmaniar Rahmaniar Rahmaniar Rahmaniar, Rahmaniar Rakha Zahri Andresna Ramadhan, Aulia Redyanto Sidi Ricki Septiando Sinaga Risdawati, Irsyam Rizky Andromedha Persia Roni Afrizal Rudi Saputra S, Bertauli. Sabam Sitorus Samosir, Daniel Junaedi Samuel Sampe Tuah Purba Santiasih, Wayan Ary Selamat Riady Hutasuhut Shilvira, Ayu Sianturi, Barata Mandala Siddik, Muhammad Sidi, Redyanto Simanjorang, Asyiah Siregar, Khusnu Abdillah Siti Suriyatni Sitohang, Theresia Bornito Solly Aryza Stepanus.S, Ronaldo Sudomo Colombus Situmorang tarigan, Amani d Tarigan, Amani Darma W, Pristisal Yopi Andinata yulia, Luh Anggreni Zulkarnaen Lubis Zulkarnain Lubis Zulkarnain Lubis Zulkarnain Lubis Zulkarnain Lubis Zulkarnain Lubis