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Habib Satria

Universitas Medan Area

Author-ID : 1417232

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Parameter tuning of PIDG controller on maximum photovoltaic power point for battery charging system Irwanto, Muhammad; Timoteus Gultom, Togar; Satria, Habib; Ismail, Baharuddin; Erniati Panjaitan, Christin; Syukri, Mahdi
Bulletin of Electrical Engineering and Informatics Vol 14, No 6: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i6.11044

Maximum photovoltaic power point (MPVPP) based on DC-DC buck converter is supplied by photovoltaic module. A controller method is needed to control the signal that it drives the switching component of DC-DC buck converter. The previous researcher conducts proportional integral derivative (PID) controller applying the DC-DC buck converter, but only its parameters (proportional, KP, integral, KI, and derivative, KD) are studied. This paper presents MPVPP based on PID with gain (PIDG) controller on the DC-DC buck converter by tuning the parameters of KP. KI and KD and adding a gain, G connected to PIDG controller for charging 12 V, 7 Ah battery. The DC-DC buck converter is designed for the output voltage of 14.7 V and output power of 150 W and modelled using Simulink MATLAB. The simulation results show that the parameters of KP=0.0032, KI=1, and KD=4×10-7 are suitable to control the switching component. The gain, G gives significant effect on the settling time and the time to reach their steady state value of output voltage of 14.7 V. The battery SOC can increase 1.36% per second, if the initial SOC is 25%, thus it needs arround 55 seconds to reach the fully charging condition.

Design and Potential of a Hybrid Biogas Reactor with Solar Panels for Energy Conversion in Tropical Areas Nukhe Andri Silviana; Parluhutan Panjaitan; Ninny A Siregar; Nuril Mahda; Rana Fathinah Ananda; Yuana Delvika; Yudi Daeng Polewangi; Habib Satria; Indri Dayana
Journal of Applied Engineering and Technological Science (JAETS) Vol. 7 No. 2 (2026): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v7i2.8977

Improperly managed cow dung can pollute the environment, causing unpleasant odors and contaminating groundwater. Therefore, a portable biogas reactor with a floating digester model was designed to process the waste into biogas energy and organic fertilizer while reducing the impact of pollution. The design method used the Pahl and Beitz approach, starting from task clarification to design development, focusing on portability, efficiency, and ease of operation. The reactor was designed to be able to process up to 300 kg of waste per month and was equipped with solar panels as an alternative energy source to operate the heating agitator and sensors, making it suitable for use in areas with minimal electricity access. The system was tested based on the daily performance of photovoltaic PV from 7:00 am to 6:00 pm. Based on the results of observations, a typical pattern of the PV system with the highest performance occurred when the light intensity was maximum at 12:00 pm. This hybrid system and reactor has the potential to be a sustainable solution in livestock waste management and support environmentally friendly agricultural practices.

Optimalisasi Sistem Teknologi Hybrid Pada Rancangan PV-Grid-Baterai Untuk Kebutuhan Skala Rumah Tangga Syah Rinal Efendi; Arya Chandra Buana Lubis; Habib Satria; Indra Hermawan
JREC (Journal of Electrical and Electronics) Vol. 10 No. 1 (2022): JREC (Journal of Electrical and Electronics)
Publisher : Program Studi Teknik Elektro Fakultas Teknik Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/jrec.v10i1.3160

The use of electricity that has covered every area of the earth is a valid fact. This makes electricity a primary need that must be continuously provided to meet the needs of the community. Based on these known facts, as much as 50% of this electricity user is in the form of a household scale. Therefore, a research was conducted on the analysis of the technology system conversion in the PV-grid-battery design at a household scale. This study aims to determine the level of technology conversion in the pv-grid-battery design at a household scale so that electric customers can utilize solar panel technology more optimally and well. The method used in this activity is to use a direct observation and data collection system. Based on the results obtained, it can be concluded that the use of solar panels with a capacity of 120 Wp x 2 can help in backing up loads on a household scale. The household load power which is the parameter in this research activity is 450 VA (based on the power of the household kWhmeter).

Machine learning for energy conversion prediction and photovoltaic-on grid protection system using IoT Habib Satria; Muhammad Fadlan Siregar; Indri Dayana; Dadan Ramdan; Hermansyah Hermansyah; Muhammad Irwanto; Syafii Syafii
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 15, No 2: July 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v15.i2.pp416-425

The advancement of photovoltaic (PV) systems in tropical regions faces significant efficiency challenges due to fluctuating panel surface temperatures. This study addresses these issues by implementing machine learning (ML) models, specifically k-nearest neighbors (KNN) and extreme gradient boosting (XGBoost), to classify and monitor panel temperatures. To enhance system resilience, an internet of things (IoT) based on-grid protection system was developed, featuring a dual-relay redundancy mechanism that triggers an automated trip when the current exceeds 1.30 A. This integration ensures the protection of both the PV infrastructure and household electrical loads. Experimental results demonstrate that the KNN model exhibits superior reliability with a testing accuracy of 93% and a baseline performance of 96.67%, successfully identifying both normal (25 °C to 35 °C) and high-temperature (36 °C to 48 °C) states. In contrast, while the XGBoost model reached a maximum validation accuracy of 94.44% during training, it only achieved a testing accuracy of 84% and showed significant limitations in detecting normal temperature patterns. Beyond classification, the IoT framework proved highly precise in real-time energy monitoring, with sensor error rates below 2%. This research offers a strategic solution for optimizing energy conversion and system reliability, providing a robust framework for sustainable clean energy management in tropical climates.

Multi-level redundancy with internet of things battery supply for fault mitigation in grid-tied photovoltaic systems Habib Satria; Muhammad Fadlan Siregar; Indri Dayana; Dadan Ramdan; Muhammad Irwanto; Syafii Syafii
International Journal of Advances in Applied Sciences Vol 15, No 2: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v15.i2.pp622-633

The development of grid-tied photovoltaic (PV) systems in tropical regions remains a strategic focus for achieving sustainable clean energy. However, energy conversion efficiency is often hampered by fluctuations in panel surface temperature and electrical faults. To ensure long-term system reliability, this study implements a multi-level redundancy architecture integrated with dynamic internet of things (IoT) monitoring for fault mitigation in grid-tied PV systems. The system employs a machine learning (ML) method using the k-nearest neighbors (KNN) algorithm for thermal classification, achieving an accuracy of 84% in identifying normal (25 °C to 35 °C) and overheating conditions. Furthermore, an electrical redundancy layer is designed with an automatic tripping mechanism that activates when the current exceeds a 1.30 A threshold, demonstrating a rapid response latency of 150 ms. To ensure monitoring resilience, the system is supported by a dedicated 18650 Li-ion battery backup. The implementation results confirm that this multi-level protection framework effectively monitors real time energy usage, prevents critical component damage, and enhances the overall safety of household-scale PV installations. This research provides a scalable and intelligent solution for fault mitigation, supporting the broader adoption of renewable energy in tropical environments.

Design visual studio based GUI applications on-grid connected rooftop photovoltaic measurement Habib Satria; Syafii Syafii; Rudi Salam; Moranain Mungkin; Welly Yandi
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 20, No 4: August 2022
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v20i4.23302

This article describes the design of a data system to integrate energy conversion from photovoltaic measurements connected to the power grid. The software used is visual studio, while the hardware uses polycrystalline photovoltaic (PV) with a capacity of 2.08 kW and several sensors that have been integrated into Arduino. Parameter data in measuring the performance of this PV system consists of temperature and humidity sensors to measure the panel surface, direct current (DC) current sensor, DC voltage sensor. To measure the current and voltage sourced from the electricity network, the module (PZEM-004T) is used. Measurements are designed using a graphical user interface (GUI) on a Visual Studio application that has been interfaced through Arduino programming. The data output on the sensor measurement will simultaneously record the circuit that has been connected to the solar panel and then display it visually in the form of tables and graphs in real time with a delay of 1 minute. The results of PV on grid measurements in sunny weather conditions obtained the maximum value of all measurements with a DC voltage of 221 V, while for an alternating current (AC) voltage of 231.60 V, the DC value reached 1827.17 W while the AC power was 1681 W.

PELATIHAN PENERAPAN SISTEM PENDUKUNG KEPUTUSAN PENENTUAN JUMLAH PEMBERIAN PAKAN IKAN DI DESA MARIENDAL II Muhammad Khahfi Zuhanda; Hartono Hartono; Sayuti Rahman; Arnes Sembiring; Rahmad Syah; Dadan Ramdan; Mendarissan Aritonang; Citra Rahmadhani; Suswati Suswati; Habib Satria; Erianto Ongko
JUBDIMAS ( Jurnal Pengabdian Masyarakat) Vol 5 No 1 (2026): Artikel Pengabdian Maret 2026
Publisher : Yayasan Cita Cendikiawan Al Kharizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/jubdimas.v5i1.403

This community service activity aims to improve the efficiency of fish feeding management through the implementation of a Decision Support System (DSS) using the Simple Additive Weighting (SAW) method in Mariendal II Village. The main problem faced by fish farmers is the manual feeding process based on estimation, leading to inefficiency and suboptimal fish growth. The method used in this activity is a participatory approach consisting of socialization, training, technology implementation, and evaluation. The developed system considers several criteria, including fish biomass, age, population, water quality, feeding time, and feed type. The results show that participants experienced significant improvements in knowledge and skills in using the DSS. The system successfully provided optimal feeding recommendations and was integrated with an automatic feeder, resulting in more consistent and efficient feeding practices. This activity also increased farmers’ awareness of technology adoption in aquaculture. Overall, the implementation of DSS contributes to reducing feed waste, improving productivity, and supporting sustainable fish farming practices.

Implementasi Media Interaktif Berbasis Macro Mediaflash pada Mata Pelajaran Sistem Pengendali Elektromagnetik Habib Satria; Andri Basir
JUPITER (JURNAL PENDIDIKAN TEKNIK ELEKTRO) Vol. 5 No. 2 (2020)
Publisher : Universitas PGRI Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25273/jupiter.v5i2.7558

Rendahnya minat belajar siswa dikarenakan minimnya media penunjang yang digunakan dalam proses pembelajaran, sehingga mengurangi minat dan keaktifan siswa dalam belajar. Diantara banyaknya peggunaan media pembelajaran salah satunya adalah menggunakan media animasi macromedia flash dan didukung penegaplikasian metode direct instruction di kelas sehingga mampu mendorong siswa untuk lebih aktif dan kreatif dalam menerima pembelajaran. Siswa akan lebih berminat dan berimajinasi langsung dalam menangkap pelajaran, dan lebih mudah untuk penguasaan materi pelajaran yang dipelajari. Selain itu, dengan menggunakan media ini siswa mampu memecahkan permasalahan yang dialami selama proses pembelajaran dengan baik. Tujuan penelitian ini adalah untuk melihat perbedaan yang signifikan dari hasil belajar siswa pada mata pelajaran Sistem Pengendali Elektronik menggunakan media animasi macromedia flash dengan media konvensional. Jenis penelitian ini adalah Quasi Eksperimen dengan desain Posttest Only Control Design. Untuk melihat kemampuan awal siswa dilakukan analisis ulangan harian (UH) pada mata pelajaran SPE. Pengumpulan data dalam penelitian ini menggunakan tes hasil belajar (posttest) berupa soal objektif . Data yang dianalisis dengan menggunakan uji perbedaan dua rata-rata (t-test). Berdasarkan hasil penelitian diperoleh nilai rata-rata posttest kelas eksperimen 84,97 sedangkan kelas kontrol 77,36 dan untuk uji t hasil perhitungan diperoleh ≥ atau 5,06 ≥ 1,998. Hasil penelitian ini menunjukan bahwa terdapat perbedaan yang signifikan antara hasil belajar siswa kelas eksperimen yang menggunakan media animasi macromedia flash dibandingkan dengan media konvensional. Minat siswa dalam belajar sangat tinggi dan siswa lebih mudah menganalisa serta berimajinasi pada saat proses belajar berlangsung.

Pemanfaatan Teknologi Digital untuk Meningkatkan Produktivitas dan Kemandirian Peternak Ikan Desa Mariendal II Bayu Aditya Pratama; Nasaruddin Nur Hasibuan; Sayuti Rahman; Dadan Ramdan; Rahmad Syah; Hartono; M. Khahfi Zuhanda; Arnes Sembiring; Asmah Indrawati; Habib Satria; Iqbal Giffari Ritonga
Dedikasi Sains dan Teknologi (DST) Vol. 5 No. 2 (2025): Artikel Pengabdian Nopember 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/dst.v5i2.7875

Kegiatan Pengabdian kepada Masyarakat (PkM) ini bertujuan untuk meningkatkan produktivitas dan kemandirian peternak ikan air tawar di Desa Mariendal II melalui penerapan sistem feeder dan monitoring pakan ikan berbasis Internet of Things (IoT). Permasalahan utama mitra meliputi pemberian pakan yang masih dilakukan secara manual, ketidakteraturan jadwal pakan, pemborosan pakan, serta keterbatasan literasi teknologi. Metode pelaksanaan kegiatan menggunakan pendekatan partisipatif yang meliputi tahap persiapan, pelatihan dan implementasi sistem IoT, pendampingan, serta evaluasi. Evaluasi dilakukan menggunakan pre-test dan post-test untuk mengukur peningkatan pemahaman dan keterampilan peserta. Hasil kegiatan menunjukkan peningkatan rata-rata kompetensi peserta sebesar 47%, dengan peningkatan tertinggi pada keterampilan instalasi dan pengoperasian perangkat serta kemampuan membaca hasil monitoring pakan. Nilai effect size yang sangat besar menunjukkan bahwa peningkatan kompetensi dipengaruhi secara signifikan oleh intervensi kegiatan. Selain itu, penerapan sistem feeder otomatis memberikan dampak operasional berupa peningkatan keteraturan pemberian pakan, pengurangan pemborosan pakan, serta efisiensi waktu dan tenaga kerja peternak. Tingginya tingkat keberterimaan teknologi tercermin dari konsistensi penggunaan sistem oleh sebagian besar peserta setelah kegiatan berakhir. Dengan demikian, kegiatan PkM ini membuktikan bahwa penerapan teknologi IoT yang tepat guna dan disertai pendampingan berkelanjutan mampu meningkatkan efisiensi budidaya ikan sekaligus mendorong kemandirian peternak secara berkelanjutan.

Rancang Bangun Teknologi Peningkatan Konversi Energi Menggunakan Pembersih Debu Otomatis Dan Reflektor Pada Panel Surya Berbasis Mikrokontroler Arduino Michael Owen Sihotang; Habib Satria
JOURNAL OF ELECTRICAL AND SYSTEM CONTROL ENGINEERING Vol. 9 No. 1 (2025): Journal of Electrical and System Control Engineering
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar

Solar energy is one of the most potential renewable energy sources, but the performance of solar panels can decrease due to dust accumulation on the panel surface. This study aims to design and build an automatic dust cleaning tool based on an Arduino microcontroller equipped with a reflector to increase energy conversion in solar panels. This system uses a dust sensor to detect the level of dirt on the panel, as well as a drive motor to automatically clean the panel surface when the dust reaches a certain level. Based on the test results, there was an increase in the output voltage of the solar panel after the cleaning process, with an average increase of 0.5 to 1.5 Volts. In addition, the use of a reflector helps increase the intensity of light received by the panel, especially in the morning and evening. With this automatic system, the efficiency of the solar panel can be maintained without periodic manual intervention. The results of the study indicate that this tool is effective in improving the performance of solar panels and has the potential to be applied to small to medium-scale installations.

Co-Authors Abd Rahman Bin Dullah Abdillah, Aditya Ryan Adam Pangestu Adi Rahwanto Adly Zulqarnain bin Mohamad Agnes Angela Turnip, Yenny Ahmad Ridwan Alayubby, M. Fitra Aldhi, Muhammad Almoataz Youssef Abdelaziz Amsana Rachmani, Almeera Andreas Tiopan Togatorop Andri Basir Anwar Syahputra, Sofyan Anwar Syaputra, Sofyan Ardinan Maranatha Sembiring Aristo Hardinata Arnes Sembiring Arrazy Elba Ridha Arya Chandra Buana Lubis Arya Rudi Nasution Asmah Indrawati Aswardi Aswardi Ayu Fitriani Bayu Aditya Pratama Citra Rahmadhani Dadan Ramdan Dedi Sahputra Dewi Soleha Dian Inda Sari Dian Noviandri Dina Maizana Erianto Ongko Erniati Panjaitan, Christin Fadhilla Azmi Fadhillah Azmi, Fadhillah Fajar Fardhan Arkan Gali Triyani Gea, Muhammad Nasri Grace Boni A Turnip Hadi Nasbey Hafiz Hafiz Hanalde Andre Hanani Hutabarat, Jamina Hartono Hartono Hartono Hermansyah Hermansyah Hermansyah Hermansyah Hermansyah Hermansyah Hermasnyah Ikhwana Elfitri Ilham Maulana Ilham Wahyudi Indawan, Isnanda Indra Hermawan INDRA HERMAWAN Indri Dayana Ios Jakub Sitompul Iqbal Giffari Ritonga Irwanto Misrun, Muhammad Irwanto, Muhammad Ismail, Baharuddin Jaka Windarta Jeddah Yanti Juni Ismail Jusoh, Muzzammil Lubis, Arya Chandra Buana M. Irwanto M. Khahfi Zuhanda M. Yonggi Puriza Mahdi Syukri Mahliza Nasution Mahmud Basuki Mahyuddin K. M. Nasution Marischa Elveny Martha Rianna Mendarissan Aritonang Michael Owen Sihotang Moranain Mungkin Mual Gunawan Lubis, Mangara Muhammad Fadlan Siregar Muhammad Fadlan Siregar Muhammad Ghaffaar Ramadhan Muhammad Idris Muhammad Ikhsan Alhamdi Muhammad Ikhwan Fahmi Muhammad Iqbal Muhammad Irwanto Muhammad Irwanto Muhammad Irwanto Misrun Muhammad Khahfi Zuhanda Muhathir, Muhathir Mulkan Andika Situmorang Mungkin, Moranaim Muzamir Isa Nadra Ideyani Vita Nainggolan, Marco Polo Nasaruddin Nur Hasibuan Ninny A Siregar Nuril Mahda Nurwijayanti Parluhutan Panjaitan Permata Sari Siregar, Ade Prasetya, Hardi Princent M.R Simanullang Puspita Sari, Mega PUTRA - IRWANDI Putra, Ghiri Basuki Putri, Rizka Meliani Rahmad B.Y Syah Rahman, Sayuti Rana Fathinah Ananda Retna Astuti Kuswardani Ria Wuri Andary Ridwan Arrasyid Rika Rosnelly, Rika Ritonga, Brilliyan Sanzes Rudi Salam Rudi Salam Rudi Salam Ruztamreen Bin Jenal Sari, Mega Puspita Sebayang, Youstra Sembiring Maha, Denny Hasminta Siburian, Dani Lamada Sihombing, Rotua Sijabat, Tonggo Silaban, Landong Siregar, M. Fadlan Suswati Suswati Suwarno Suwarno Syafii . Syafii Syafii Syafriwel, Syafriwel Syah Rinal Efendi Syah, Rahmad B. Y. Syah, Rahmad B.Y Syarifah Muthia Putri Tammamah Lubis, Hartati Timoteus Gultom, Togar Tino Hermanto Triana, Cut Riska Vina Winda Sari Vitral JR Wanayumini Wando Pratama Siregar, Regi Welly Yandi Wibisono, Anggih Prasetyo WINATA, SATRIA ANANDA Yahya, Yanawati Binti Yanawati Yahya Yandi Anzari Yandi, Welly Yenny Agnes Angela Turnip Yoga Tri Nugraha Yopan Rahmad Aldori Yuan Anisa Yuana Delvika Yudi Daeng Polewangi Zakaria, Zulkarnay Zulkifli Bahri, Zulkifli

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