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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) IAES International Journal of Artificial Intelligence (IJ-AI) Transmisi: Jurnal Ilmiah Teknik Elektro Elkom: Jurnal Elektronika dan Komputer TELKOMNIKA (Telecommunication Computing Electronics and Control) Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Journal of Telematics and Informatics Jurnal Teknologi Elektro Proceeding of the Electrical Engineering Computer Science and Informatics JURNAL KAJIAN TEKNIK ELEKTRO CYCLOTRON Infotekmesin Indonesian Journal of Electrical Engineering and Computer Science Electrices : Jurnal Otomasi Kelistrikan dan Energi Terbarukan Bulletin of Computer Science Research International Journal of Advanced Health Science and Technology Medika Trada Jurnal Sains dan Ilmu Terapan Prosiding Seminar Riset Mahasiswa Jurnal Ilmiah Sultan Agung Journal of Fuzzy Systems and Control (JFSC) Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics International Journal of Advances in Artificial Intelligence and Machine Learning Jurnal Teknik Informatika dan Teknologi Informasi
Arief Marwanto
Universitas Islam Sultan Agung
Religion Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Nursing Public Health

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UNJUK KERJA AUTORECLOSE DOUBLESHOT PADA RELAI JARAK SALURAN UDARA TEGANGAN TINGGI Praditya, Muhammad Irfan Nur; Marwanto, Arief
Jurnal Ilmiah Penelitian Mahasiswa Vol 4, No 3 (2025): SEPTEMBER 2025
Publisher : Jurnal Ilmiah Sultan Agung

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

Abstract

SUTT 150 kV memiliki potensi yang besar mengalami gangguan transmisi. Sebagian besar penyebab gangguan transmisi bersifat temporer yang akan segera hilang setelah Pemutus Tenaga (PMT) trip. Agar kesinambungan penyaluran tenaga listrik tetap terjaga maka PMT dicoba masuk kembali sesaat setelah kejadian trip (reclose) dan dalam kondisi siap (healthy) untuk memutus (trip) apabila gangguan masih ada setelah PMT masuk kembali (reclose). SUTT dengan saluran panjang rentan mengalami gangguan permanen atau gangguan yang terjadi lebih dari satu kali dalam waktu yang berdekatan. Tugas Akhir ini membahas setting relai jarak dan unjuk kerja fungsi autoreclose dalam mengakomodir gangguan permanen SUTT. Proses perhitungan dilakukan untuk mengetahui bagaimana setting relai jarak yang andal untuk SUTT 150 kV Sangatta – Maloy. Untuk mengetahui keandalan setting yang telah ditentukan, dilakukan pengujian karakteristik menggunakan software Omicron Distance Operating Characteristic. Hasil pengujian karakteristik impedansi menunjukkan deviasi antara nilai perhitungan dengan nilai aktual relai adalah 0,2%, sementara pada karakteristik waktu kerja, deviasi berkisar pada 3% sampai 6%. Untuk mengetahui unjuk kerja fungsi autoreclose doubleshoot pada relai jarak, dilakukan pengujian fungsi dengan metode simulasi gangguan menggunakan software Omicron State Sequencer. Dari empat kondisi gangguan yang diujikan, didapatkan hasil bahwa relai mampu mengakomodir gangguan permanen (dua gangguan berturut-turut) tanpa mengalami trip lockout.Kata kunci: Relai Jarak, Impedansi, Autoreclose, Gangguan Permanen
Deteksi Kadar Alkohol Menggunakan Sensor MQ3 Berbasis Website Ismail, Munaf; Marwanto, Arief; Haddin, Muhamad
Infotekmesin Vol 12 No 1 (2021): Infotekmesin: Januari 2021
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v12i1.490

Abstract

According to the Head of the Indonesian National Police (Kapolri) General Idham Azis, the number of deaths from accidents that occurred in 2019 reached 23,530. A total of 40% of the deaths from traffic accidents are caused by human error and the influence of alcohol. The high number of deaths from traffic accidents due to the influence of alcohol is a concern for all of us. Excessive alcohol consumption is dangerous when driving because consuming alcohol will affect a person's temperament and worsen driving behavior by reducing awareness, leading to accidents. A system that is able to detect the alcohol level of a vehicle driver that can be monitored anywhere is needed, as information to alert motorists to the influence of alcohol in order to prevent traffic accidents online and on a web-based basis. Using the MQ-3 sensor for alcohol detection and the ESP8266 processor in WeMos WiFi.  The average percentage error in the measurement of the measured sample was found to have an error value of: 3.6%. Research has also succeeded in reading alcohol levels through websites.
Analisis Pengaruh Incoming Support Cable Berbahan Ferro Magnetic Terhadap Healthy Index Cable Medium Voltage Transformator I 150/20KV 60 MVA Gardu Induk Marwanto, Arief
CYCLOTRON Vol 8 No 01 (2025): CYCLOTRON
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/cl.v8i01.25464

Abstract

Penggunaan material ferromagnetik pada support kabel incoming untuk kabel power tegangan menengah sisi sekunder transformator 150/20 kV GI Jatibarang memiliki peran penting secara mekanis dalam menunjang keamanan elektris panel cubicle incoming. Metode penelitian yang digunakan melibatkan pengukuran lapangan untuk mendeteksi temuan yang disebabkan oleh pemasangan support kabel serta analisis untuk mengevaluasi hubungan antara anomali hasil pengujian tersebut dengan degradasi kabel. Selain itu, perhitungan secara manual dan membandingkan hasil pengujian sebagai landasan utama kalkulasi seberapa besar pengaruh terhadap healty index kabel power tegangan menengah. Data serta hasil perhitungan manual yang diperoleh dianalisis untuk mengidentifikasi faktor-faktor yang memengaruhi kerusakan isolasi kabel dan proses penuaan material. Hasil penelitian menunjukkan bahwa medan elektromagnetik yang dihasilkan kabel pendukung berbahan ferromagnetik secara signifikan mempercepat penurunan healthy index kabel. Penelitian ini berkontribusi dalam peningkatan sistem transmisi serta distribusi energi listrik yang andal. Temuan ini merekomendasikan penggunaan material alternatif atau metode instalasi tertentu untuk mengurangi dampak penurunan kualitas isolasi terhadap kabel. Dengan hasil penelitian ini dapat dijadikan rujukan serta optimasi desain instalasi kabel power tegangan menengah transformator daya 150/20 kV untuk meningkatkan keandalan dan efisiensi sistem transmisi listrik.
A Fuzzy Logic Approach to Enhance GPS Accuracy for Blood Cooler Box Tracking Hariyono, Muhammad Akbar; Marwanto, Arief; Alifah, Suryani
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 6 No. 1 (2024): February
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/fbsvte54

Abstract

An innovative technological development, the position tracking system uses latitude and longitude coordinates to determine the GPS's location. The covid-19 pandemic has caused the demand for cool box delivery for convalescent blood plasma to increase significantly. The obstacle in the field is the hospital's position and patient rooms far from the reach convalescent donors, so they require a cool box for delivery. The problem is tracking the cool box accurately and precisely so that it can be monitored by the hospital properly. For this reason, it is necessary to increase the accuracy of the GPS position in the cool box by using fuzzy logic algorithms The Ublox NEO-6M is one GPS module that can be utilized for navigation. This module uses UART connection using the NMEA 0183 protocol and has an accuracy level of around 2.5 meters to 10 meters. In this research, validation of the accuracy of the GPS coordinate position was carried out on a Blood Cool Box device which was designed using the fuzzy logic method. The Sugeno method fuzzy logic algorithm is used to validate the accuracy of GPS coordinate positions based on latitude and longitude obtained from the GPS sensor module. The test results show a Mean Absolute Percent Error (MAPE) value of 21.66% which can be concluded that the Sugeno fuzzy logic method algorithm has forecasting model capabilities that are suitable for use as a validation method for testing GPS position coordinates.
OPTIMASI DAYA LISTRIK TURBIN ANGIN JALAN RAYA DENGAN MENGGUNAKAN FUZZY LOGIC ‘Atiq, Muhammad; Haddin, Muhamad; Marwanto, Arief
Prosiding Seminar Riset Mahasiswa Vol 1, No 1: Maret 2023
Publisher : Universitas Islam Sultan Agung

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Abstract

Penelitian ini membahas tentang optimasi daya turbin angin jalan raya. Model ditetapkan sebagai pembangkit listrik tenaga bayu di jalan raya dengan parameter yang ditentukan meliputi: dimensi turbin, rasio gear dan kecepatan angin. Fuzzy digunakan untuk mensimulasikan turbin angin jalan raya sehingga didapatkan daya yang dihasilkan. Hasil menunjukan bahwa dengan dimensi blade 20 cm serta rasio gear 28 dengan kecepatan angin 3 m/s pada analisis matlab hasil 3,67 watt sedangkan pada analisis perhitungan manual 3,75 watt dengan nilai mean squared error (MSE) adalah 0,0064 watt. Untuk dimensi blade 20 cm serta rasio gear 60 dengan kecepatan angin 3 m/s pada analisis matlab hasil 6,417 watt sedangkan pada analisis perhitungan manual 7,13 dengan nilai mean squared error (MSE) adalah 0,9. Karena pembangkit listrik yang dihasilkan paling rendah, turbin angin jalan raya tidak direkomendasikan dipasang di jalan raya Indonesia.Keyword: Turbin Angin, Rasio Gear, Kecepatan Angin, Fuzzy Logic.
Energy Audit to Optimize Electrical Energy Consumption at Siti Khodijah Sepanjang Hospital Sidoarjo using The Analytical Hierarchy Process Method Mochamad Hadi Saputra; Muhamad Haddin; Arief Marwanto
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 5 No. 1 (2025): April: Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v5i1.5209

Abstract

Siti Khodijah Hospital, type B hospital, is one of Muhammadiyah's health charities which is located in 260 Pahlawan Road, Sepanjang, Sidoarjo, East Java. The majority of the operating activities in this hospital use electrical energy, such as the use of medical equipment and other medical equipment that requires the consumption of electrical energy with a large enough capacity. The use of the AHP (Analytical Hierarchy Process) method has the aim of obtaining optimal results in making a decision, namely by simplifying a complex problem that is not structured and systematic. The results of this energy audit are able to provide new ideas to the hospital head through savings programs designed based on the 4M+1E concept (Man, Machine, Method, Material and Environment). The implementation of the results of this study can reduce the cost of using electrical energy by 14%, which is IDR 375,800,000 of the year's electricity costs.
Clustering State Electricity Company (PLN) Customer Electricity Consumption Patterns Using K-Means for Operational Efficiency Anang Putranto; Imam Much Ibnu Subroto; Arief Marwanto
Bulletin of Computer Science Research Vol. 6 No. 4 (2026): June 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i4.1119

Abstract

Electricity consumption patterns among PLN customers show diverse characteristics that require data-driven analysis to support accurate operational planning and service strategies. Differences in installed power, operating hours, and electricity usage intensity can indicate variations in customer behavior, load demand, and service needs. This study aims to analyze electricity consumption patterns of PLN customers in the South Semarang area using the K-Means Clustering method. The dataset consists of 6,622 active customers, with variables including installed power, operating hours, and average electricity consumption over the last eight months. The research stages include identifying the need for consumption pattern analysis, preparing data, cleaning incomplete or inconsistent values, normalizing variables, modeling with K-Means, and interpreting cluster results. The optimal number of clusters was determined using the Elbow Method and Silhouette Score to ensure meaningful grouping and good separation quality. The results show that the optimal number of clusters is three. The first cluster represents low consumption patterns with 1,881 customers (28.4%). The second cluster represents medium consumption patterns with 2,927 customers (44.2%). The third cluster represents high consumption patterns with 1,814 customers (27.4%). The WCSS value of 498.67 and Silhouette Score of 0.68 indicate good clustering performance and practical usefulness for decision-making by PLN in service quality improvement.
Pengembangan Sistem Deteksi Anemia Non-Invasif Menggunakan Photoplethysmography (PPG) dan Logika Fuzzy untuk Estimasi Kadar Hemoglobin Darojat Yugiantoro; Eka Nuryanto Budisusila; Agus Suprajitno; Arief Marwanto; Abdul Haris Kuspranoto
MEDIKA TRADA Vol 6 No 2 (2025): MEDIKA TRADA: Jurnal Teknik Elektromedik Polbitrada Vol 6 No 2 (2025)
Publisher : LPPM POLBITRADA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59485/jtemp.v6i2.163

Abstract

The Anemia is a global health issue affecting many individuals worldwide. Traditional anemia detection through invasive blood testing is often costly, time-consuming, and requires trained medical personnel. This study developed a non-invasive anemia detection system based on Photoplethysmography (PPG) technology and fuzzy logic to estimate hemoglobin (Hb) levels and classify the degree of anemia. The system uses a PPG sensor to measure red and infrared light intensities, which are used to calculate the ratio and estimate the hemoglobin levels. The fuzzy logic system then classifies the estimated Hb results into the categories of Severe Anemia, Moderate Anemia, and Mild Anemia. The results of the study indicate that this system provides an estimated hemoglobin level with an accuracy of 88.42%, and can classify anemia degrees with results comparable to conventional blood testing. This system offers a more practical, efficient, and non-invasive alternative for anemia detection and has the potential to be used for self-health monitoring.
Comparative Analysis of Random Forest and LSTM for Predictive Maintenance of Electric Motors Muhammad ‘Atiq; Musab Ali El Nefati; Arief Marwanto; Fajar Husain Asy'ari; Rio Subandi; Danang Hendrawan
Journal of Fuzzy Systems and Control Vol. 4 No. 2 (2026): Vol. 4 No. 2 (2026)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v4i2.421

Abstract

This study presents a comparative analysis of Random Forest and Long Short-Term Memory (LSTM) algorithms for predictive maintenance of electric motors using Industrial Internet of Things (IIoT) sensor data (current, temperature, vibration). A synthetic dataset from Kaggle comprising 5,000 samples across three operational states (HEALTHY, WARNING, CRITICAL) was employed. Experiments were conducted on Google Colab with a Tesla T4 GPU. The LSTM model achieved a classification accuracy of 98.9%, outperforming Random Forest (98.5%), with perfect precision and recall for the WARNING state and improved recall for the CRITICAL state (0.97 vs. 0.96). However, Random Forest demonstrated substantially shorter training time (2 seconds vs. 30 seconds). For real-time industrial deployment on Programmable Logic Controllers (PLCs), Random Forest is recommended due to its rapid inference (5-10 ms), while LSTM is better suited for critical assets where detection accuracy is prioritized. The findings also confirm the viability of Google Colab as an accessible platform for predictive maintenance research in academic settings. This work contributes a practical framework for selecting between machine learning and deep learning approaches in IIoT-based motor fault diagnosis.
Analysis of the Feasibility of Zinc Sleeve Layer Insulators on 150 kV Transmission Towers Based on Leakage Current Ade Satria; Arief Marwanto
Jurnal Sains dan Ilmu Terapan Vol. 9 No. 1 (2026): Jurnal Sains dan Ilmu Terapan
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jsit.v9i1.1452

Abstract

The study addresses anomalies in insulator leakage current caused by corrosion, cracking, weather exposure, and salt spray pollution in coastal transmission lines. These issues were identified during the annual maintenance of the Sanur–Pesanggaran 150 kV transmission line at Tower 1 Pole 53. Additional contributing factors include the insulators’ service life of 25–30 years and inadequate cleaning maintenance. Such conditions increase the risk of flashover and insulator failure, reducing transmission system reliability. This research evaluates the feasibility of glass insulators equipped with a zinc sleeve layer to improve corrosion resistance, reduce leakage current, and extend service life in coastal environments. The methodology involved determining the insulator model, analyzing PLN inspection reports (2023), collecting installed insulator data, measuring leakage current, and assessing post-test conditions. The study examined 83 towers along the Pesanggaran–Sanur 1 transmission line. Results indicate that the insulator at Pole 53 failed to meet the required standard, whereas zinc sleeve-coated insulators on other poles complied with IEC 60815:2021 based on leakage current test results.
Co-Authors A. M. Harb, Hani Abdul Haris Kuspranoto Abo-Taleb, Ahmed Ade Satria Agung Satrio Nugroho agus sukarno Agus Suprajitno Agus Suprajitno Agus Suprajitno Agus Supriyanto Ahmed Abo-Taleb Ahmed S. Samra Ahsraf Ashraf Khalil Amir, Afandi Anang Putranto Andrianto, Dian Andri Arinan Putra Aris Sri Widaryanto Aser Anou Asri, Mohd Hafizulhadi Mohd ‘Atiq, Muhammad Bakhtiar Indra Kurniawan Berkah Fajar Tamtomo kiono Brama Sakti Handoko Brama Sakti Handoko Danang Hendrawan Daniel Triswahyudi Darojat Yugiantoro Dedi Nugroho Dedy Syamsuar Deshinta Arrova Dewi Diah Arie WK Eka Nuryanto Budi Susila Fajar Husain Asy'ari fajar pujiyanto Fitri Anindyahadi Gunawan Alim Habib ALzaroug Abobaker Wardeko Hadi Pranoto Haikal Satria, Muhammad Hani A. M. Harb Hapsari, Jenny Putri Hariyono, Muhammad Akbar I Nyoman Gede Muliawan Imam Much Ibnu Subroto Imam Much Ibnu Subroto Iska Yanuartanti Iwan Setiawan Jenny Putri Hapsari Kamilah Syed Yusof, Sharifah Kamilah, Sharifah khaled jemah basher Khalifa Mansour Khalifa Kuat Supriyadi Laksamana Rajendra Haidar Azani Fajri Lawrence Adi Supriyono Lukman Abdul Fatah M Satria M. Gaballah, Waleed M. Haider Abu Yazid M. Haikal Satria M. Haikal Satria M. Ulin Nuha Maivi Kusnandar Malik Jawarneh Mochamad Hadi Saputra Mohamad Habib Ahsan Mohammad Alfian Mudzakir Mohd Hafizulhadi Mohd Asri Muhamad Haddin Muhammad Haikal Satria Muhammad Haikal Satria Muhammad Haikal Satria Muhammad Qomaruddin Muhammad Qomaruddin Muhammad Qomaruddin Muhammad Rifai Rifai Muhammad ‘Atiq Munaf Ismail Munaf Ismail Munaf Ismail, Munaf Musab Ali El Nefati Mustaqim Musyahar, Ghoni Nashruddin Anwar Nuha, M. Ulin Praditya, Muhammad Irfan Nur Pramono Mukti Wibowo Putra, Arinan Qirom Qirom Rangga Bismantara Rangga Bismantara Renantivani, Alivia Reza Yoga Diputra Riky Maulana Firdaus Rio Subandi S Sukiran S. Kamilah S. Y S. Kamilah S. Y, S. Kamilah S. Y S. Samra, Ahmed Sarman Sarman Sarman Sarman Sarman, Sarman Satria, M Satria, M. Haikal Satria, Muhammad Haikal Setyanto, Barry Nur Sharifah Kamilah Syed Yusof Sharifah Kamilah Syed Yusof Sharifah Kamilah Syed Yusof Sharifah Yusof Sigit Prakosa Adhi Nugraha Sonny Hady Winoto Sri Arttini Dwi Prasetyawati Sucipto, Dany Sukarno Budi Utomo Sunaryo Sunaryo Sunaryo, Sunaryo Sunu Arsy Pratomo Suprawikno . Supriyadi, Kuat Suryani Alifah Sutarta Tarta Suyanta Suyanta Tri Basuki Kurniawan Triswahyudi, Daniel Vugar Abdullayev Waleed M. Gaballah Yahya Hidayatullah Yazid, M. Haider Abu Yudha Adi Putra Yudistira Marsya Puvindra Yusof, Sharifah Zakariya Ali Saeid Saeid