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All Journal JE-Unisla Jurnal Abdimas Berdaya : Jurnal Pembelajaran, Pemberdayaan dan Pengabdian Masyarakat Informatics, Electrical and Electronics Engineering SCIENCE ELECTRO Jurnal Teknik Mesin, Industri, Elektro dan Informatika Cakrawala: Jurnal Pengabdian Masyarakat Global Jurnal Penelitian Rumpun Ilmu Teknik Inspiration: Jurnal Teknologi Informasi dan Komunikasi Aspirasi : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat Karunia: Jurnal Hasil Pengabdian Masyarakat Indonesia Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Masyarakat Berkarya: Jurnal Pengabdian dan Perubahan Sosial
Bambang Minto Basuki
Universitas Islam Malang
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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Planning and Analysis of Integrated On-Grid Solar Power Plant using Pvsyst Software at the Krejengan Probolinggo Health Center Dwi Nanda; Efendi S Wirateruna; Bambang Minto Basuki
Jurnal Teknik Elektro dan Informatika Vol 4 No 2 (2024): INFOTRON
Publisher : Universitas Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/infotron.v4i2.22870

Abstract

The demand for electrical energy in Indonesia continues to increase significantly. The government has set a target of 23% of the New and Renewable Energy (NRE) mix by 2025, one of which is through the installation of Solar Power Plants (PLTS). This study aims to design and analyze the technical and economic feasibility of On-Grid Solar Power Plant at the Krejengan Health Center, Probolinggo, using PVsyst software. The solar PV system is designed to have a capacity of 6600 watts to meet the daily electricity needs of the health center. The simulations carried out show that this solar power plant is able to produce enough energy with high efficiency. Economic analysis using the Net Present Value (NPV), Benefit-Cost Ratio (BCR), and Payback Period (PP) methods shows that this project is economically feasible. The implementation of this system provides significant economic benefits and contributes to the reduction of carbon emissions, in line with the national energy policy
Mesin Penyiram Tanaman Otomatis Berbasis Panel Surya untuk Budidaya Tanaman Kangkung di Kel. Mulyorejo, Malang Bambang Minto Basuki; Abdul Muta’ali
Karunia: Jurnal Hasil Pengabdian Masyarakat Indonesia Vol. 3 No. 4 (2024): Desember : Jurnal Hasil Pengabdian Masyarakat Indonesia
Publisher : Fakultas Teknik Universitas Maritim AMNI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58192/karunia.v3i4.2703

Abstract

This community service activity is aimed at helping women's farmer groups in Mulyorejo Village, Malang, in developing automatic watering technology based on renewable energy for water spinach cultivation. The system developed uses solar panels as an energy source, which drives the automatic watering machine. This technology is expected to increase irrigation efficiency, reduce dependence on human labor, and increase the productivity of water spinach plants. The results of the activity show that the use of this automatic watering machine can reduce operational costs and improve plant quality.
Pelatihan dan Pemasangan Gorunding System di UMKM GS4 Woodcraft, Malang Abdul Muta’ali; Bambang Minto Basuki
Masyarakat Berkarya : Jurnal Pengabdian dan Perubahan Sosial Vol. 1 No. 4 (2024): November: Masyarakat Berkarya : Jurnal Pengabdian dan Perubahan Sosial
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/karya.v1i4.833

Abstract

This community service activity aims to improve technical aspects and workplace safety at GS4 Woodcraft MSME, Lowokwaru, Malang, through training on grounding systems and Occupational Safety and Health (OSH). Grounding systems were taught and installed to mitigate the risks of electrical current leakage and touch voltage that could endanger workers. Additionally, OSH training was provided to raise workers' awareness of the importance of workplace safety, supported by the installation of OSH posters as visual educational media. The results of the activity showed an increase in workers' understanding of the concepts and implementation of grounding systems. The installed grounding systems, as an outcome of the training, successfully met the applicable grounding system standards in Indonesia. The OSH training also had a positive impact, with workers showing increased awareness of using personal protective equipment (PPE). The strategically placed OSH posters effectively reinforced visual reminders for workers to prioritize their safety.
Model Machine Learning SVM (Support Vector Machine) untuk Deteksi Anomali pada Sistem Kelistrikan Perusahaan Kerajinan Kayu GS4 Bambang Minto Basuki; Dimas Cahyono
Jurnal Teknik Mesin, Industri, Elektro dan Informatika Vol. 4 No. 1 (2025): JURNAL TEKNIK MESIN, INDUSTRI, ELEKTRO DAN INFORMATIKA
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jtmei.v4i1.4839

Abstract

Anomaly detection in electrical systems is crucial to prevent operational disruptions and equipment damage, especially in small industries such as handicraft companies. This study aims to develop an electrical anomaly detection model using Support Vector Machine (SVM) based on current, voltage, and temperature parameters. Data were collected in real-time using sensors installed at strategic points in the company's electrical network. Anomaly criteria were determined based on normal operating limits: current (8.2–10 A), voltage (198–242 V), and temperature (30–70°C). The SVM model was trained using a dataset classified into normal and anomalous conditions. Model evaluation was conducted using accuracy, precision, recall, and F1-score metrics to assess the anomaly detection performance. Model evaluation was performed using accuracy, precision, recall, and F1-score metrics to assess the accuracy of anomaly detection. The results showed that the SVM model was able to identify anomalies with high accuracy, namely with an Accuracy value of 96.5%. Precision of 94.8% and Recall of 92.3%.
Model Perawatan Generator di PLTU Paiton menggunakan Metode Naive Bayes Bambang Minto Basuki
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 3 No. 4 (2025): Juli: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v3i4.1002

Abstract

The Paiton Steam Power Plant (PLTU) is one of the main sources of electrical energy in East Java, which plays a vital role in maintaining a sustainable electricity supply. The reliability of generator units is a key element in maintaining stable energy distribution. However, the high frequency of sudden generator failures poses serious challenges, such as increased downtime and increased maintenance costs. To address these challenges, this study aims to design a generator maintenance prediction model based on the Naive Bayes algorithm with a predictive maintenance approach. This study uses historical maintenance data and key sensor parameters such as temperature, oil pressure, and vibration as input. The data is analyzed through several stages, namely data preprocessing, selection of relevant features, and labeling generator conditions into three categories: Normal, Warning, and Critical. The Naive Bayes model is trained to classify the data probabilistically to generate predictions of future generator conditions. Model evaluation using accuracy metrics and a confusion matrix shows that the model successfully achieved an accuracy rate of 89% and was able to provide early warnings of potential failures up to 3 days before failure occurs. The implementation of this system is expected to support the shift in maintenance strategies from reactive and scheduled systems to data-driven predictive systems. Implementing failure predictions allows the technical team at the Paiton PLTU to conduct planned maintenance, avoid sudden disruptions, and extend equipment lifespan. Thus, this model has the potential to reduce operational downtime by up to 25%, while providing significant savings in operational and logistics costs. This research also shows that integrating machine learning technology into energy facility management can improve the efficiency and resilience of the overall electric power system.
Peningkatan Kapasitas Warga Dusun Tumpangrejo, Ngenep, Karangploso, Malang, Melalui Pelatihan Lampu Penerangan Jalan Umum Tenaga Surya Bambang Minto Basuki
ASPIRASI : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat Vol. 3 No. 4 (2025): Juli : ASPIRASI : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat
Publisher : Asosiasi Periset Bahasa Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/aspirasi.v3i4.2189

Abstract

This community service activity aims to increase the capacity of residents of Tumpangrejo Hamlet, Ngenep Village, Karangploso District, Malang Regency through training in the manufacture and use of solar-powered lamps. The main problem faced by residents is limited access to electricity in some areas, especially in remote areas not yet covered by the PLN electricity network. Furthermore, there is a lack of knowledge about environmentally friendly renewable energy technology and its potential use in daily life. The activity method begins with socialization about solar energy, where residents are given an understanding of the basic principles and benefits of solar energy as an environmentally friendly alternative energy source. Then, practical training is conducted on assembling solar-powered lamp components, which includes installing solar panels, batteries, and LEDs. During the training, participants are guided to understand each stage of the assembly process and the importance of maintaining the equipment to ensure its long-lasting and optimal function. Technical assistance is also provided after the training to ensure residents can apply the skills learned in their daily lives. Participants are encouraged to assemble and maintain solar-powered lamps independently, so they do not solely rely on external parties for maintenance. The results of this activity demonstrated an increase in residents' knowledge and skills in understanding the concept of solar energy, as well as their ability to independently assemble and maintain solar-powered lamps. Furthermore, residents began utilizing solar-powered lamps for street and household lighting. This reduced reliance on conventional electricity sources, which are often limited and expensive. This activity is expected to become a model for community empowerment based on appropriate technology in rural areas, improving their quality of life through the sustainable use of available natural resources.
Co-Authors Abdul Muta’ali Abu Laili Adi Noerhamsyah Aditya Agust Winata affan Bachri Ahmad Ali Miftadin Alfi Khoiru Zahroh Andri Hermanto Angger Yulinda C P Arrafi Alief Handaru Asnan Ghofor Aulia Rahman Bambang Dwi Sulo Diah Retnohadi Dimas cahyono Dwi Nanda Dzulkivi Adriansyah Efendi S Wirateruna Fajar Ariadi Fandisya Rahman FATKHUR ROZI fauzy afriansyah Fikra Fikra Hanafi Kurnia Tri Nur Amani Hilda Nur Rama Dhana HM. Taqijuddin Alawy Ilham Muhamad Waspada Imam Suheri Irdavlan Mohamad Yahya Isya Asep Fatmana M Hasbi Ashshiddiqi M Taqijjuddin Alawiy Mahyudin Basyar Manggala Mochammad Fahrulrozi Mohamad Yusak Mohammad Jasa Afroni Mohammad Mukhlis Muh. Yasa Afroni Muhamat Cholili Muhammad Alwi Jakfar Sodiq Muhammad Iskandar Muhammad Suryazul Khilmi Muhammad Taqijjuddin Alawiy Muhammad Taqiyyuddin Alawiy Nabila Amelia Nanang Suyoko Nur Robbi Oktriza Melfazen Ongky Bagus Cahyono Ridwan Maulana Samhadi Robbi Romadhoni Rusadin Rusadin Sandria Wahyu Pradani Siska Viminawati Subur Purwantoro Sugiono Sugiono Sugiono Sugiono Syaifuddin Muhammad Umrotin Hamidah Vivin Kartikasari Zaenal Furqon