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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) PROtek : Jurnal Ilmiah Teknik Elektro JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Techne : Jurnal Ilmiah Elektroteknika CYCLOTRON Prosiding Seminar Nasional Sains dan Teknologi Terapan JEECAE (Journal of Electrical, Electronics, Control, and Automotive Engineering) JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) JE-Unisla Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Jurnal Fortech SinarFe7 Jurnal Penelitian Journal of Mechanical and Electrical Technology Blend Sains Jurnal Teknik ELPOSYS: Jurnal Sistem Kelistrikan Prosiding Seminar Nasional Pengabdian Masyarakat Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Emitor: Jurnal Teknik Elektro Jurnal FORTECH Energy: Jurnal Ilmiah Ilmu-ilmu Teknik
Arifuddin, Rahman
Departement Of Electrical Engineering, Faculty Of Engineering, University Of Merdeka Malang Jl. Terusan Raya Dieng No. 62-64 Malang, 65146
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Budidaya Maggot sebagai Solusi Inovatif untuk Meminimalisasi Sampah Organik di Desa Pandanrejo Kecamatan Wagir Kabupaten Malang Arifuddin, Rahman; Mutadafiq, Fiqhi Syahdani; Bylla Anggraini, Feby Salsa; Indriyanti , Fenti Dwi
Prosiding Seminar Nasional Pengabdian Masyarakat Universitas Ma Chung Vol. 5 No. 1 (2025): Prosiding SENAM 2025: Seminar Nasional Pengabdian Kepada Masyarakat Universitas
Publisher : Ma Chung Press

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Abstract

Pengelolaan sampah adalah tantangan utama di berbagai daerah, salah satunya ialah Desa Pandanrejo, Kecamatan Wagir, Kabupaten Malang. Terbatasnya Tempat Pembuangan Sampah Terpadu (TPST) serta akumulasi sampah organik yang tidak terkelola dengan baik dapat menyebabkan pencemaran lingkungan serta gangguan kesehatan masyarakat. Oleh karena itu, kami Kelompok 9 Tim 1 KKN UNMER Malang berinisiasi membuat program budidaya maggot untuk mengatasi masalah tersebut. Maggot merupakan larva dari lalat Black Soldier Fly (BSF) yang dapat mengurai sampah organik sebanyak 35–45% dari total massa yang dikonsumsi dan dapat dimanfaatkan sebagai pakan ternak bernutrisi tinggi. Program ini bertujuan untuk meminimalisir sampah organik melalui budidaya maggot dengan metode yang tepat dan efisien. Program ini dilaksanakan melalui survei lokasi, perencanaan, pelaksanaan budidaya maggot, serta evaluasi keberhasilannya.  Hasil dari kegiatan ini menunjukkan bahwa budidaya maggot mampu mengurangi volume sampah organik, sehingga mengurangi bau tidak sedap, serta menghasilkan produk bernilai ekonomi seperti pupuk organik dan pakan ternak dengan harga terjangkau yaitu Rp. 6000-7000/kilo. Selain itu, kegiatan ini turut berkontribusi dalam meningkatkan kesadaran masyarakat akan pentingnya pengelolaan sampah yang ramah lingkungan. Dengan pendekatan ini, budidaya maggot tidak hanya menjadi solusi dalam pengelolaan limbah organik, tetapi juga berpotensi meningkatkan perekonomian masyarakat melalui pemasaran produk maggot sebagai pakan ternak. Oleh karena itu, diperlukan dukungan dari berbagai pihak untuk mengembangkan sistem pengelolaan berbasis maggot yang lebih luas dan berkelanjutan.
Prototype Perancangan Sistem Kontrol Buka Tutup Payung Kanopi Elektrik Otomatis dengan Pendeteksi Cuaca Menggunakan Metode Fuzzy Logic Renyaan, Edward Hariyanto Bidu; Sonalitha, Elta; Arifuddin, Rahman
Blend Sains Jurnal Teknik Vol. 2 No. 4 (2024): Edisi April
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/blendsains.v2i4.522

Abstract

Payung merupakan perlengkapan penting dalam melindungi diri dari hujan ataupun panas matahari, saat ini payung dengan kemampuan buka-tutup otomatis semakin diminati karena dapat memberikan kenyamanan dan kemudahan. Namun pengelolaan payung secara manual masih seringkali dilakukan yang memerlukan keterlibatan tenaga manusia untuk membuka dan menutup payung. Hal ini dapat mengakibatkan keterlambatan atau ketidaktepatan dalam pengoperasian payung, terutama saat kondisi cuaca berubah-ubah. Metode Fuzzy Logic digunakan untuk mengolah data dan informasi yang tidak pasti atau ambigu, seperti dalam pengambilan keputusan berdasarkan data cuaca yang tidak pasti atau tidak akurat. Metode ini dapat memberikan kemampuan sistem untuk mempertimbangkan tingkat kepastian dalam pengambilan keputusan kapan payung harus dibuka atau ditutup berdasarkan kondisi cuaca. Sehingga sistem ini diharapkan dapat meningkatkan efisiensi pengelolaan payung, memberikan kenyamanan bagi pengunjung ditempat umum, tempat rekreasi dan masjid serta mengurangi ketergantungan pada tenaga manusia dalam pengoperasian payung.
Antenna 5.8 GHz dengan Output Perbedaan Fasa 90 Derajat Ganda Menggunakan Jaringan Matriks Butler Feeding Mujahidin, Irfan; Prasetya, Dwi Arman; Arifuddin, Rahman; Arinda, Putri Surya
PROtek : Jurnal Ilmiah Teknik Elektro Vol 8, No 2 (2021): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v8i2.3180

Abstract

A complex design of electromagnetic feeding network circuit components is needed for a wireless communication network system, and expensive materials, especially for electromagnetic components at a high frequency of 5.8 GHz with dual 90-degree phase difference output using butler matrix Feeding Network for wireless communication network systems. It is novel in form and has a frequency-free, frequency-free, non-complex configuration of microstrip electromagnetic circuits, and uses inexpensive materials at a frequency of 5.8 GHz. This system is a package consisting of a 5.8 GHz microstrip antenna with a rectangular microstrip antenna array and a Butler matrix of four inputs and outputs to achieve a double 90-degree phase difference. The antenna uses a via hole for the transmission line to the network feeding system, has one band and shallow bandwidth with four ports, and has one working frequency, namely 5.58 GHz under the S criterion -10dB, and uses a via hole for the transmission line to the network feeding system, the radiation pattern is forward, the gain level is 6.83dB, and the feeding impedance is 50 Ohm. S11 -26.19 dB for the 90-degree hybrid coupler, S21 31.65 dB, S51 -26.18 dB, and S61 32.52 dB which means these are all working well, and the overall size of this structure is 80mm x 65mm with FR4 of 4.4 dielectric constant having 50 ohms.
Perencanaan Kebutuhan Energi Listrik PLTS Hybrid-Off Grid pada Kolam Budidaya Ikan Nila menggunakan Recirculating Aquaculture System (RAS) Subairi, Subairi; Effendy, Machmud; Sari, Resi Dwi Jayanti Kartika; Arifuddin, Rahman; Ridlo, Muhammad Ali
SinarFe7 Vol. 7 No. 1 (2025): SinarFe7-7 2025
Publisher : FORTEI Regional VII Jawa Timur

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Abstract

This study aims to design and analyze a Hybrid Off-Grid Solar Power Plant (PLTS) system to support the operation of Nile tilapia farming based on the Recirculating Aquaculture System (RAS) in Parangargo Village, Wagir District, Malang Regency. The location was chosen due to its high solar energy potential, with an average solar irradiation intensity of 4.5–5.2 kWh/m² per day. The research methodology includes identifying RAS electrical load requirements, calculating solar panel capacity, designing an energy storage system using VRLA batteries, and conducting economic analysis. The system is designed to meet a daily energy demand of 4,200 Wh with a solar panel capacity of 1,250 Wp and a battery capacity of 24V 400Ah. The hybrid off-grid configuration allows the PLTS to serve as the primary power source with the grid (PLN) as backup. The analysis results indicate that the system can provide a reliable and environmentally friendly power supply, with operational cost savings of approximately IDR 2.21 million per year and a payback period of around 11.7 years. The implementation of this system has the potential to reduce dependence on the grid, lower production costs, and enhance the operational efficiency of tilapia farming
Implementasi Palang Pintu Otomatis dengan Pendeteksi Masker Berbasis Raspberry Pi 3B+ Tiwikrama, Krishna; Rabi’, Abd.; Arifuddin, Rahman
Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Vol. 5 No. 1 (2021): Prosiding Seminar Nasional Inovasi Teknologi Tahun 2021
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/inotek.v5i1.839

Abstract

Pandemi Covid-19 yang berawal pada bulan Maret 2020 telah mengejutkan masyarakat Indonesia, dan bahkan dunia karena virus corona menyebar dengan cepat hingga lintas negara. Dalam upaya merespons keseriusan pandemi Covid-19, perkembangan teknologi masa kini yang berdampak besar dapat dimanfaatkan untuk membantu tugas manusia agar tetap menjaga jarak aman antar manusia. Terkhusus pada tempat-tempat umum di era new normal akibat pandemi, sebelum memasuki ruangan diperlukan sistem yang mampu mengotomatisasi buka tutup palang pintu dengan diawali proses pendeteksian masker pada manusia dan pendeteksian suhu tubuh. Penelitian sistem otomatisasi palang pintu bertujuan membuka palang jika manusia menggunakan masker terdeteksi oleh Pi Camera yang terintegrasi pada komputer mini Raspberry Pi yang telah ditanam metode Convolutional Neural Network (CNN), serta pendeteksian suhu tubuh manusia menggunakan Thermal Camera menunjukkan hasil normal. Dari penelitian ini berhasil melakukan pendeteksian penggunaan masker pada manusia dan pendeteksian suhu tubuh yang mampu membuka palang ketika manusia terdeteksi menggunakan masker dan suhu tubuh normal (≤37,5°C), dan hasil deteksi berupa nilai suhu tubuh terbaca ditampilkan pada LCD serta adanya suara pemberitahuan oleh speaker.
Kendali dan Monitoring Kondisi Kandang Ayam Berbasis Fuzzy Logic Novaliandra, Yuki; Dirgantara, Wahyu; Arifuddin, Rahman
Metrotech (Journal of Mechanical and Electrical Technology) Vol 5 No 1: Januari 2026
Publisher : Fakultas Sains dan Teknologi, UNIRA Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/metrotech.v5i1.7661

Abstract

Terdapat dua jenis sistem pemeliharaan ayam petelur, yaitu kandang terbuka dan kandang tertutup. Pada penelitian ini digunakan sistem kandang tertutup yang memiliki keunggulan dalam mengontrol kondisi lingkungan. Ayam petelur memerlukan suhu ideal antara 20–25°C, kelembaban optimal dalam kisaran 60–80%, serta kadar amonia yang dijaga di bawah 20 ppm agar produktivitas dan kesehatannya tetap terjaga. Penelitian ini bertujuan mengembangkan sistem otomatis untuk pemantauan dan pengendalian kondisi kandang ayam berbasis Internet of Things (IoT) dengan pendekatan logika fuzzy. Sistem dirancang menggunakan tiga komponen utama: input berupa data dari lingkungan kandang, proses pengambilan keputusan menggunakan metode logika fuzzy Sugeno yang dipilih karena mampu menghasilkan keluaran kontinu tanpa memerlukan proses defuzzifikasi, serta output berupa aksi dari aktuator berdasarkan hasil pengolahan data. Pengujian sistem menunjukkan bahwa perangkat dapat bekerja secara otomatis dengan membaca data dari sensor DHT22, MQ135, dan load cell. Sebagai contoh, pada suhu 31°C kipas 1 aktif selama 15 detik, kelembaban 63% memicu pemanas aktif selama 10 detik, kadar amonia 19 ppm mengaktifkan kipas 2 selama 10 detik, dan berat 120 gram menyebabkan motor konveyor menyala selama 15 detik.
Sistem Kontrol dan Monitoring Suhu dan Kelembaban GreenHouse untuk Produksi Green Fodder Alwan J.Ishak; Arifuddin, Rahman; Subairi
Jurnal JE-UNISLA : Electronic Control, Telecomunication, Computer Information and Power System Vol 11 No 1 (2026): MARET
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/je-unisla.v11i1.1607

Abstract

The high cost of livestock feed and dependence on seasonal forage highlight the need for a more efficient and controlled green fodder corn production system. This study aims to design and implement an Internet of Things (IoT)–based greenhouse control and monitoring system to maintain optimal environmental conditions for green fodder corn production. The system was developed using a Wemos D1 R2 microcontroller integrated with a DHT11 temperature and humidity sensor, a Real Time Clock (RTC) module, fans, a water pump, and grow lights, with Blynk as a remote monitoring platform. Experimental results indicate that the system is able to automatically and stably regulate temperature, humidity, irrigation, and lighting, with average sensor errors of 0.64 °C for temperature and 4.91% for humidity. The novelty of this research lies in the integration of environmental control and scheduled management of green fodder corn growth phases within a simple and practical IoT system, specifically designed to support rapid-harvest forage production in greenhouse environments.
Rebalancing Beban Gardu Distribusi Guna Meminimalkan Susut Teknis ULP Taliwang Savira Rosa Ghozali; Rahman Arifuddin; Resi Dwi Jayanti Kartika
Elposys: Jurnal Sistem Kelistrikan Vol. 13 No. 1 (2026): ELPOSYS VOL. 13 NO.1 (2026)
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elposys.v13i1.9193

Abstract

The quality of electrical power is a crucial factor in supporting community activities and stimulating sustainable economic growth in developing regions. In electric power distribution systems, one of the most frequently encountered technical problems is the high level of technical losses caused by neutral current arising from load imbalance among phases on distribution feeders and transformers. The Brang Rea Feeder is identified as having the highest proportion of unbalanced distribution transformers, reaching 37%. The observed ranges of unbalance percentage, neutral current, and technical losses are 21.06%–66.67%, 3.5 A–117.2 A, and 2.36 W–2651.02 W. In practice, efforts to reduce technical losses are commonly implemented through the installation of additional protection systems, which high investment costs. Therefore, this study focuses on the analysis of neutral current and technical losses on the Brang Rea Feeder through the application of the Distribution Transformer Load Management Method, which is considered a more economical and practical alternative. The operating conditions before and after the implementation of this method are validated using ETAP 19.0.1. The scope of this study is limited to the evaluation of load imbalance, neutral current, and technical losses.After implementation, the unbalance percentage was reduced to 0%–19.05%, producing neutral current and technical loss ranges of 0 A–81.10 A and 0 W–1269.36 W. This improvement resulted 32,233.41 kWh energy saved and an additional revenue of IDR 46,567,609.92. Consequently, the contribution of technical losses to total distribution losses without E-Min at PT PLN (Persero) ULP Taliwang was significantly reduced.
Pengaruh Kopel 20 kV Antar Trafo terhadap Proteksi dan Keandalan Distribusi Yudha Adhe Widodo; Resi Dwi Jayanti Kartika Sari; Rahman Arifuddin
Elposys: Jurnal Sistem Kelistrikan Vol. 13 No. 1 (2026): ELPOSYS VOL. 13 NO.1 (2026)
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elposys.v13i1.9210

Abstract

Lumajang Substation operates three power transformers; however, to date, a 20 kV coupling system between Transformer 2 and Transformer 3 has not yet been implemented. The absence of this coupling potentially leads to transformer overloading, protection coordination mismatch, and reduced reliability of the power supply. This study aims to analyze the impact of implementing a 20 kV inter-transformer coupling on protection system performance and distribution reliability improvement, as indicated by changes in SAIDI, SAIFI, and CAIDI indices at Lumajang Substation. After the implementation of the 20 kV coupling between Transformer 2 and Transformer 3, the SAIDI index decreased from 5.93% to 2.636%, the SAIFI index declined from 137.97% to 72.30%, and the CAIDI index was reduced from 0.269% to 0.242%. Short-circuit current calculations and simulations show that the maximum fault current, represented by a three-phase fault, reaches 17.981 kA, while the minimum fault current, represented by a single-phase-to-ground fault, is 23.092 A. The results yield an OCR setting with an Ipickup of 0.625 A and a TMS of 0.1565 SI, as well as a GFR setting with an Ipickup of 0.1385 A and a TMS of 0.6092 SI. The fault clearing time of the OCR on the coupling is 0.4 seconds, while that of the GFR is 4 seconds. These values fall between the clearing times of the 20 kV incoming feeder and outgoing feeders, thereby satisfying protection coordination principles as verified through simulations using ETAP 19.0.1 software.
Exploring 3D Convolutional Neural Network Models for Alzheimer’s Disease Classification Based on 3D MRI Images Titus Batlayeri; Subairi Subairi; Rahman Arifuddin; Bagas Martinus Rianu
ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK Vol. 15 No. 2 (2025): ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK (July-November 2025 Edition)
Publisher : Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.v15i2.15208

Abstract

Alzheimer’s disease is a common form of progressive dementia, especially among the elderly, and is characterized by a decline in cognitive function. Classifying this disease using 3D brain imaging through MRI is challenging due to the complexity of the data and the similarity of features across classes. This study develops a classification model based on a 3D Convolutional Neural Network (3D CNN) architecture, specifically using ResNet-18. The dataset used is obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI), consisting of 1,281 samples evenly distributed across three classes: Cognitively Normal (CN), Mild Cognitive Impairment (MCI), and Alzheimer’s Disease (AD). The data undergo several preprocessing steps, including skull stripping, normalization, and augmentation. The model is tested in two configurations: without dropout and with a dropout rate of 0.3. The results show that the model with dropout performs better, achieving a classification accuracy of 62.0% and a macro F1-score of 0.604. The model outperforms ADNet and Vision Transformer, and approaches the accuracy of Vision Mamba. Nevertheless, this approach still requires further development, particularly in improving accuracy for the CN class and reducing performance imbalance across classes.
Co-Authors Abd Rabi Abd. Rabi’ Abdur Rabi Affan Bachri Agus Suprapmoko Akio Kitagawa Alwan J.Ishak Anggara Trisna Nugraha Aries Boedi Setiawan Arik Syaiful Rasid Arinda, Putri Surya Arya Sobhita, Rama Bagas Martinus Rianu Bylla Anggraini, Feby Salsa Dwi Arman Prasetya Dwi Arman Prasetya Dyah Setyawati E, Nachrowie Elta Sonalitha Febriyanti, Liyyana Hidayatulail, Basitha Febrinda Iman Mufti, Akbarsyah Nur Indriyanti , Fenti Dwi Iqbal Maulana, Fairuz Irawan, Moh. Sugeng Irfan Mujahidin Jehamat, Caecilia E. Alfita Kartika Sari, Resi Dwi Jayanti Krishna Tiwikrama Machmud Effendy Moh Sugeng Irawan Moh. Sugeng Irawan Moh. Sugeng Irawan Mutadafiq, Fiqhi Syahdani Nachrowie . Novaliandra, Yuki Office, Irfan Handy Puput Dani Prasetyo Adi Putri Intan Hafsari1, Rizky Putri Surya Arinda Rabi’, Abd. Renyaan, Edward Hariyanto Bidu Resi Dwi Jayanti Kartika Resi Dwi Jayanti Kartika Sari Respati Wikantiyoso Ridlo, Muhammad Ali Sari, Resi Dwi Jayanti Kartika Savira Rosa Ghozali Stanislaus Yoseph Subairi Subairi Subairi Subairi Sumarahinsih, Andrijani Suprapmoko, Agus Susanto, Hanum Vemmi Titus Batlayeri Tiwikrama, Krishna Wahyu Dirgantara wangge, ferdinandus Wardhana, Rama Yanuar Sinatra Yovi Afriansyah Yudha Adhe Widodo Yunaldi Adang Yunus Novrianto Ziliwu, Alsaro Natanael