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Suhono
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Department of Electrical Engineering and Informatics, Vocational College Universitas Gadjah Mada Gedung Herman Yohanes Sekip Unit III, Catur Tunggal, Depok, Sleman, Yogyakarta, Indonesia 55281
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Jurnal Listrik, Instrumentasi, dan Elektronika Terapan
Published by Universitas Gadjah Mada
ISSN : -     EISSN : 27462536     DOI : https://doi.org/10.22146/juliet.v2i1
Core Subject : Science, Engineering,
Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering
The Journal of Electricity, Instrumentation and Applied Electronics (JuLIET) is an open-access journal published by the Department of Electrical and Information Engineering, Vocational School, Gadjah Mada University. JuLIET is issued twice a year with varying volumes. JuLIET was first published, Vol 1, No 1 in April 2020. This journal contains writings taken from the results of research and analytical studies in the field of applied science and technology, specifically Power Systems, Generators, Power Distribution and Transmission, Power Distribution and Transmission, Electrical Power Conversion, Distributed Generation, Protection Systems, and Renewable Energy for the scope of Electrical Engineering. Next, Instrumentation, Sensors and Actuators, Industrial Instrumentation for Instrumentation scope. And Signal, System, and Electronics, Digital Signal Processing, Image Processing, Robotic Systems, Control and Automation Systems, and Embedded Systems for Applied Electronics scope.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 5 Documents
 1 
Search results for , issue "Vol 6, No 2 (2025)" : 5 Documents clear
Sistem Pemantauan Status Kesehatan Sapi Perah Berbasis IoT dengan Parameter Detak Jantung, Saturasi Oksigen, dan Suhu Aprilliana, Ervinta; Isnianto, Hidayat Nur; Firmansyah, Rendra Dwi
Jurnal Listrik, Instrumentasi, dan Elektronika Terapan Vol 6, No 2 (2025)
Publisher : Departemen Teknik Elektro dan Informatika Sekolah Vokasi UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/juliet.v6i2.98135

Abstract

Kurang optimalnya pemanfaatan teknologi di Indonesia mengenai pemantauan kesehatan sapi lokal maupun sapi perah secara real time untuk memudahkan peternak dan menghemat biaya oprasional mengakibatkan kurangnya pemenuhan susu untuk konsumsi masyarakat. Banyak peternak sapi hanya memantau secara tradisional dengan melihat dari gejala fisik. Oleh karena itu memerlukan alat yang menerapkan teknologi Internet Of Things (IoT) untuk memonitoring kondisi kesehatan sapi perah. Sistem ini dirancang menggunakan mikrokontroler ESP32 sebagai prosesor utama yang di dalamnya terdapat program suhu, detak jantung, dan saturasi oksigen sesuai kondisi fisiologis sapi perah mengirimkan data ke Node-RED menggunakan protokol MQTT sebagai user interface dan menyimpan data menggunakan MySQL untuk memudahkan pengguna meninjau status kesehatan dan mencegah ketidaknormalan agar melakukan tindakan medis selanjutnya. Pengujian dilakukan di UPT Peternakan UGM, hasil kalibrasi pembacaan suhu ternak dibandingkan thermogun umum didapatkan nilai rata-rata absolute error sebesar 0,7°C. Sensor detak jantung dengan estimasi kalman filter nilai R=10 dan Q=0.01 dikalibrasi dengan pengukuran denyut nadi ekor sapi perah secara manual mendapatkan rata-rata absolute error 1.45 bpm, sinyal noise dapat direduksi dengan baik tanpa menghilangkan karakteristik sinyal asli. Nilai absolute error 2% untuk saturasi oksigen. Hasil dari penelitian menguji pada 10 ekor sapi perah dan divalidasi dengan diagnosis spesialis ternak rata-rata menunjukkan kondisi sehat. Untuk mengevaluasi menggunakan confusion matrix menghasilkan hasil akurasi 97%, presisi 75%, dan recall sebesar 98%. 
Optimization of On-Grid Solar Power System Planning at Plaza Asia Tasikmalaya Using HOMER Agustian, Doni; Sutisna, Sutisna; Faridah, Linda
Jurnal Listrik, Instrumentasi, dan Elektronika Terapan Vol 6, No 2 (2025)
Publisher : Departemen Teknik Elektro dan Informatika Sekolah Vokasi UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/juliet.v6i2.100077

Abstract

This study presents a comprehensive techno-economic planning of an On-Grid Photovoltaic Power Plant (PV PP) system for Plaza Asia Tasikmalaya by utilizing the HOMER (Hybrid Optimization Model for Multiple Energy Resources) software. The main objective is to develop an optimized PV system configuration based on actual load profiles and solar radiation data, without focusing on physical implementation or post-installation impacts. The planning process includes site-specific energy demand analysis, assessment of solar potential using satellite-derived datasets, and the selection of system components such as photovoltaic panels, battery storage, and inverters. Field observations and documentation were conducted to collect primary and secondary data regarding electricity consumption trends, solar irradiance levels, and component specifications and prices. The simulation using HOMER indicates that the optimal system configuration comprises 1,894 units of 340 Wp monocrystalline solar panels, 102 EnerSys PowerSafe SBS 1800 battery units (248 kWh), and 50 SolaX X3-Hybrid10 inverters rated at 10 kW. The system is projected to generate 902,334 kWh annually, supplying approximately 62.1% of the total electricity consumption of the building. The remaining demand is met by the PLN grid, especially during periods of low irradiance or peak loads. The simulation yields key performance indicators including Net Present Cost (NPC), Initial Capital Cost, and Levelized Cost of Energy (COE), which are calculated by HOMER using discounted cash flow principles. These indicators are crucial in evaluating the technical and financial feasibility of the planned configuration. By focusing on accurate simulation, real-world data inputs, and economically viable system design, this study contributes a replicable planning approach for renewable energy integration in commercial buildings. It also highlights the importance of using simulation tools like HOMER in supporting investment planning, technology selection, and policy formulation related to on-grid solar energy systems. The findings may serve as a technical reference for future energy planning in similar commercial settings across regions with comparable solar resources.
Development of an ATTiny1614-Based Heater Controller and a Silicone-Based Heating Element for a Tissue Processor Hendry, Jans; Isnianto, Hidayat Nur; Hudati, Imroatul; Irsyadi, Fakih; Najib, Muhammad; Fauzi, Ilham
Jurnal Listrik, Instrumentasi, dan Elektronika Terapan Vol 6, No 2 (2025)
Publisher : Departemen Teknik Elektro dan Informatika Sekolah Vokasi UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/juliet.v6i2.102903

Abstract

The tissue processor is an essential device for preparing tissue samples for observation. Despite the high demand, no similar products havebeen developed locally. Therefore, the researchers have undertaken the development of a comparable device through reverse engineering. One of the key components of a tissue processor is the automatic heater, which consists of a heater controller and a heating element. Utilizing an ATTiny1614 microcontroller and a silicone pad, both components were developed to operate with the same functionality as the original. Based on the tests, the heater controller successfully supplied alternating current to the heating element according to the specified maximum temperature. The heating element test showed an impedance specification of 418.9 Ω and required only approximately 1 minute and 37 seconds to reach a temperature of 100 °C. Therefore, the resulting prototype meets the criteria for an automatic heater for a tissue processor.
Development of an IoT-Based Smart Building Prototype with Installation Component Management Features Jauzi, Muhamad Fais Halim
Jurnal Listrik, Instrumentasi, dan Elektronika Terapan Vol 6, No 2 (2025)
Publisher : Departemen Teknik Elektro dan Informatika Sekolah Vokasi UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/juliet.v6i2.105057

Abstract

The industrial revolution has brought significant changes in energy consumption patterns, shifting from biomass to fossil fuels, which in turn triggered a surge in greenhouse gas emissions and contributed to climate change. In the era of Industry 4.0, technologies such as the Internet of Things and Augmented Reality have emerged as solutions for creating more efficient and safer systems. This research develops a smart building prototype based on the integration of Internet of Things and Augmented Reality to enhance energy efficiency and safety in electrical installation management. The system uses an ESP32 microcontroller with HTTP protocol to read data from three types of sensors, namely the MQ2 gas sensor, a five-channel flame sensor, and the PZEM-004T sensor for measuring voltage, current, and power comprehensively. All data are transmitted to a Firestore-based server and visualized in real time through a web dashboard built with React and hosted on the Vercel platform. The Augmented Reality feature is developed using AR.js to display electrical wiring diagrams and components such as Miniature Circuit Breakers directly on the electrical panel via mobile devices such as smartphones or tablets. Technicians simply scan the panel to view passive interactive visualizations, including zoom and rotation features, allowing them to understand the installation layout without physically opening the panel. The system is also equipped with an early warning mechanism and automatic activation features such as buzzers and water pumps in the event of fire detection. Additionally, the component management features facilitate the documentation of maintenance history, including component replacements, technical specifications, and visual records, making it easier for technicians to perform maintenance and system audits. The implementation results show that the system successfully integrates Internet of Things, Augmented Reality, and web technologies, offering a potential solution for smart buildings that are efficient, safe, and well-integrated.
Classification and Prediction of Air Quality in Yogyakarta City Using Long Short-Term Memory Algorithm Permatasari, Novita Bayu; Isnianto, Hidayat Nur
Jurnal Listrik, Instrumentasi, dan Elektronika Terapan Vol 6, No 2 (2025)
Publisher : Departemen Teknik Elektro dan Informatika Sekolah Vokasi UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/juliet.v6i2.106999

Abstract

Air quality in Yogyakarta City is declining along with the increase in air pollution caused by human activities, such as transportation and industry, thus having a serious impact on health and the environment. Some of the parameters are PM10, SO2, Com O3, and NO2 which are based on ISPU (Air Pollution Standard Index) data from the Yogyakarta City Environment Agency from 2020 to 2023. In this study, classification and prediction were carried out using the LSTM (Long Short-Term Memory) algorithm to predict air quality standards with five pollution parameters of PM10, SO2, CO, O3, and NO2. The results of this study on the performance graph showed that the model was likely to be overfitted in some phases of training, although the simulation results on the random data showed consistency in the prediction with the "Good" category for air quality. So it can be concluded that this study using the LSTM (Long Short-Term Memory) model is able to classify and predict air quality effectively with results that are almost in accordance with the actual data and this study will run better with several improvements such as the use of additional parameters such as PM2.5 and increased model accuracy for optimal results.

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