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All Journal Saintek Perikanan : Indonesian Journal of Fisheries Science and Technology Journal of Electrical Technology UMY JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Jurnal Lemuru : Jurnal Ilmu Perikanan dan Kelautan Indonesia Jurnal Abdi Insani Journal Zetroem Skyhawk: Jurnal Aviasi Indonesia Jurnal Penelitian Chanos Chanos Journal Electric Field Jurnal Teknik Elektro dan Komputasi (ELKOM)
Widhi Winata Sakti
Universitas PGRI Banyuwangi
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology 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 Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Other

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Classification and Control: Accuracy Improvement Using Convolutional Neural Network and Transfer Learning for Dragon Fruit Mulyadi, Adi; Ardiyansyah, Fuad; Amin, Muhammad Zainail Roisul; Sakti, Widhi Winata
Journal of Electrical Technology UMY Vol. 9 No. 2 (2025): December
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.v9i2.28498

Abstract

In real-time dragon fruit testing, classification systems based on D-L, M-L, ANN, SVM, K-NN, CNN, and TL algorithms were used to achieve high accuracy, detect dissimilar images, and enhance the precision of dragon fruit sorting by applying sensor technology, which was previously low.  This is owing to the tiny architecture and dataset.  To enhance the classification accuracy of the dragon fruit sorting control system, a CNN-TL classification system with Adam Optimizer is presented.  Testing 100 epochs with the CNN method and Adam optimizer provided an accuracy of 98.63%. Additionally, testing the same epoch with the TL technique and the Adam optimizer provided an accuracy of 99.11-100%.  The CNN-TL approach combined with the Adam optimizer achieved an accuracy rate of 99.55% at iteration 5 and 100% at iteration 100.  The accuracy values of CNN, TL, and CNN-TL with the Adam optimizer in the classification of ripe, unripe, and rotten dragon fruit were 33.3%, 85.2%, and 95.3%, respectively.  The goal of establishing a sorting control system using the CNN-TL algorithm is to enhance the quality of dragon fruit production in Banyuwangi Regency.  During and after the harvest season, production quality is assessed using classification results and automatic sorting.
Sistem Kontrol Suhu Pada Destilator Untuk Mengukur Kadar Air Limbah Pabrik Udang Berbasis Arduino Mahindra Abhiyaksa; Adi Mulyadi; Widhi Winata Sakti
Journal Electric Field Vol. 2 No. 2 (2025): Journal Electric Field
Publisher : CV. Sekawan Siji

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63440/jef.v2i2.119

Abstract

This paper discusses the design and temperature control system for shrimp factory wastewater distillation. During the distillation process, wastewater is heated to condense and separate the resulting water vapor. Therefore, a temperature control system is proposed to ensure efficiency. The effectiveness of temperature control in the distillation process is assessed based on changes in temperature. Changes in initial and final temperatures were observed in the distillation process using 50ml-250ml samples and a temperature variation of 34°C–101°C. Test results showed that a 50ml sample reached a maximum temperature of 82°C, producing 9ml of condensate. A 100ml sample, with a maximum temperature of 84°C, produced 19ml of condensate. A 150ml with a maximum temperature of 92°C. Producing 60 ml of condensate, the 200 ml sample reached a maximum temperature of 85°C, producing 60 ml of condensate, and the 250 ml sample reached a maximum temperature of 101°C, producing 60 ml of condensate. The initial TDS value for the 50–250 ml samples remained constant at 1,683 ppm. After distillation, the TDS values for each sample were 319 ppm for the 50 ml sample, 671 ppm for the 100 ml sample, 93 ppm for the 150 ml sample, 86 ppm for the 200 ml sample, and 129 ppm for the 250 ml sample. The contribution of the research is that the control system can reduce the impact of waste on industry by regulating the temperature on the Peltier.
Co-Authors Adi Mulyadi Amin, Muhammad Zainail Roisul Anam, Khairul Anas Mukhtar As'ari, Hasyim Bambang Sri Kaloko Charis Fathul Hadi Chrissheila, Dea Eka DEWI SARTIKA Donny Setiawan Febriyanto, Mohammad Fenik Fuad Ardiyansyah Lika Dewi Asih Mahindra Abhiyaksa Muhamad Khoirul Anam Muhammad Zainal Roisul A Muhammad Zainal Roisul Amin Mulyadi, Adi Nadya Adharani Nandya Fitri Rachmawati Putra, Alfarado Bagus Prastyo Rachmawati, Nandya F Reni Eka Evi Susanti Rifki Arif Riska Fita Lestari Siti Tsaniyatul Miratis Sulthoniyah Sutikno