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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 CYCLOTRON Infotekmesin Indonesian Journal of Electrical Engineering and Computer Science Electrices : Jurnal Otomasi Kelistrikan dan Energi Terbarukan International Journal of Advanced Health Science and Technology Prosiding Seminar Riset Mahasiswa Jurnal Ilmiah Sultan Agung Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics International Journal of Advances in Artificial Intelligence and Machine Learning
Arief Marwanto
Universitas Islam Sultan Agung
Religion Humanities 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 Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Nursing Public Health

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A Comparative Study of Convolutional Neural Networks and Vision Transformers for Fruit Classification Jawarneh, Malik; Marwanto, Arief; Syamsuar, Dedy; Kusnandar, Maivi
International Journal of Advances in Artificial Intelligence and Machine Learning Vol. 2 No. 2 (2025): International Journal of Advances in Artificial Intelligence and Machine Learni
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/ijaaiml.v2i2.435

Abstract

Background of study:  Accurate fruit classification is vital for agricultural automation, yet traditional methods are often subjective and inefficient. Convolutional Neural Networks (CNNs) are effective but struggle with global context in fine-grained tasks. Vision Transformers (ViTs), inspired by NLP models, offer global attention mechanisms that may improve classification in complex scenarios.Aims and scope of paper: This study compares the performance of EfficientNet-B0 (a CNN model) and ViT-B/16 (a Transformer model) on a fruit classification task involving five fruit types. The goal is to evaluate their strengths and weaknesses under controlled experimental conditions using a moderately sized dataset.Methods: A dataset of 10,000 fruit images was preprocessed with standard augmentation techniques and split into training and validation sets. Both models were fine-tuned using pretrained weights. Performance was evaluated using accuracy, precision, recall, F1-score, and confusion matrices.Result: EfficientNet-B0 achieved higher overall accuracy (94%) than ViT-B/16 (92%). The CNN model performed consistently across all classes, particularly excelling in bananas and strawberries. ViT-B/16 showed superior results for strawberries but struggled with apples. Confusion matrices revealed class-specific strengths and weaknesses.Conclusion: EfficientNet-B0 is better suited for general fruit classification due to its balanced performance, while ViT-B/16 excels in capturing fine-grained visual features. A hybrid approach may leverage both models’ strengths for enhanced performance in real-world applications.
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

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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.
Co-Authors A. M. Harb, Hani Abo-Taleb, Ahmed Agung Satrio Nugroho agus sukarno Agus Suprajitno Agus Suprajitno Ahmed Abo-Taleb Ahmed S. Samra Ahsraf Ashraf Khalil Amir, Afandi Andrianto, Dian Andri Arinan Putra Aser Anou Asri, Mohd Hafizulhadi Mohd ‘Atiq, Muhammad Bakhtiar Indra Kurniawan Berkah Fajar Tamtomo kiono Brama Sakti Handoko Brama Sakti Handoko Daniel Triswahyudi Dedi Nugroho Dedy Syamsuar Deshinta Arrova Dewi Diah Arie WK Eka Nuryanto Budi Susila 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 Iska Yanuartanti Iwan Setiawan Jawarneh, Malik Jenny Putri Hapsari Kamilah Syed Yusof, Sharifah Kamilah, Sharifah khaled jemah basher Khalifa Mansour Khalifa Kuat Supriyadi Laksamana Rajendra Haidar 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 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 Munaf Ismail Munaf Ismail Munaf Ismail, Munaf Mustaqim Musyahar, Ghoni Nashruddin Anwar Nuha, M. Ulin Praditya, Muhammad Irfan Nur Pramono Mukti Wibowo Putra, Arinan Qirom Qirom Renantivani, Alivia Reza Yoga Diputra Riky Maulana Firdaus 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