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All Journal Energy : Jurnal Ilmiah Ilmu-Ilmu Teknik ALINIER: Journal of Artificial Intelligence & Applications
Widhining K, Diah Arie
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Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Perancangan Sistem Deteksi Penyakit Kulit Serta Penentuan Obat Berbasis Image Processing Moch Sunan Makmur Azis, Mochamad Dzaky Makarim; Widhining K, Diah Arie; Fiolana, Farrady Alif
ALINIER: Journal of Artificial Intelligence & Applications Vol. 6 No. 1 (2025): ALINIER Journal of Artificial Intelligence & Applications
Publisher : Program Studi Teknik Elektro S1 ITN Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/alinier.v6i1.14365

Abstract

Penyakit kulit merupakan masalah kesehatan umum yang memerlukan diagnosis akurat untuk penanganan yang efektif. Penelitian ini bertujuan untuk merancang sebuah sistem deteksi penyakit kulit dan penentuan obat berbasis image processing. Metode yang digunakan meliputi ekstraksi ciri tekstur dari citra penyakit kulit menggunakan Gray Level Co-occurrence Matrix (GLCM), diikuti dengan proses klasifikasi menggunakan Jaringan Saraf Tiruan (JST) untuk mengidentifikasi lima jenis penyakit kulit: basal cell carcinoma, dermatitis atopik, keratosis, melanoma, dan nevi melanositik. Sistem diuji menggunakan 1000 data, dengan 800 data untuk pelatihan dan sisanya untuk pengujian. Hasil penelitian menunjukkan bahwa sistem yang dirancang mampu mencapai tingkat akurasi keseluruhan sebesar 86% dalam mengklasifikasikan penyakit kulit. Keberhasilan tertinggi dicapai pada klasifikasi dermatitis atopik (100%), sementara beberapa kegagalan disebabkan oleh isu pada tahap ekstraksi fitur grayscale akibat variasi pencahayaan dan kontras. Sistem ini menunjukkan potensi sebagai alat bantu diagnosis penyakit kulit dan langkah awal menuju rekomendasi pengobatan otomatis.
Studi Pengaruh Beban Pengemudi Terhadap Konsumsi Daya Sepeda Listrik Kapasitas 500 Watt Yasin, Fahmi Ali; Widhining K, Diah Arie; Rizal, Royb Fatkhur
Energy - Jurnal Ilmiah Ilmu-Ilmu Teknik Vol 13 No 2 (2023): Jurnal Energy Vol. 13 No. 2 November 2023
Publisher : Fakultas Teknik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.v13i2.1718

Abstract

Electric-based transportation modes are increasingly increasing in use due to the development of electric motor technology, control devices, and batteries. The problem that arises is that the power consumption of different driver loads is unknown. This research is a study of power consumption proven on an electric bicycle type GODA 140. Electric bicycles are tested with the same mileage and some differences in changes in rider load, road construction and speed difference. The results obtained in mode 1 with the rider load doubled (59 kg-118 kg) showed that the maximum speed decreased by 10% while the power consumption increased from 274.9 watts to 520.2 watts. The battery voltage decreased when the 59 kg load decreased by 1 V, when the 118 kg load decreased by 2.58 V. In mode 2 with the rider load doubled (59 kg-118 kg), the maximum speed decreased by 10%, while the power consumption increased from 373.2 watts to 564.7 watts. The battery voltage decreased when the load of 59 kg decreased by 1 V, when the load of 118 kg decreased by 3.06 V. In mode 3 with the rider load doubled (59 kg-118 kg), the maximum speed decreased by 11.1%, while the power consumption increased from 394.6 watts to 628.2 watts. The battery voltage decreased when the 59 kg load decreased by 1 V while the 118 kg load decreased by 3.1 V. Keywords: Electric bike, Battery, BLDC motor, Watt meter
Co-Authors Farrady Alif Fiolana Moch Sunan Makmur Azis, Mochamad Dzaky Makarim Royb Fatkhur Rizal Yasin, Fahmi Ali