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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Teknik Elektro Rekayasa Mesin Sinergi Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal Rekayasa Sipil dan Lingkungan JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Jurnal Sustainable: Jurnal Hasil Penelitian dan Industri Terapan Elsains : Jurnal Elektro SENTIA 2016 SENTIA 2015 Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan Jurnal Karinov JE-Unisla Jurnal Tecnoscienza Jurnal Riset Rekayasa Elektro Frontier Energy System and Power Engineering Community Development Journal: Jurnal Pengabdian Masyarakat Indonesian Journal of Engagement, Community Services, Empowerment and Development (IJECSED) JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Indonesian Collaboration Journal of Community Services (ICJCS) Prosiding Konferensi Nasional PKM-CSR ALINIER: Journal of Artificial Intelligence & Applications Jurnal Fortech SinarFe7 Journal FORTEI-JEERI Sewagati E-Amal: Jurnal Pengabdian Kepada Masyarakat Jurnal JEETech DIMAS-UNDAR Nucleus Journal
Machrus Ali
Universitas Darul Ulum
Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering 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 Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Nursing Public Health Social Sciences Transportation Other

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Rekonfigurasi Jaringan Distribusi Radial 65 Bus Berbasis Binary Particle Swarm Optimization (BPSO) Machrus Ali; Hidayatul Nurohmah; Dwi Ajiatmo
Jurnal JEETech Vol. 3 No. 1 (2022): Nomor 1 May
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/jeetech.v3i1.3108

Abstract

The configuration of a radial distribution network is difficult to simplify because it is very complex. This network reconfiguration is used to redesign the configuration of the radial distribution network by opening and closing switches on the distribution network. The feeder of Purwoasri, The feeder of Purwoasri, Rayon Kertosono has 65 buses which cause the Mojokerto area to have a very large loss so it needs to be reconfigured.. The resulting power flow will result in network power losses due to configuration. The reconfiguration process will be repeated until a configuration form that produces the smallest power losses is obtained. The number of feeders and buses on the network will be difficult if done manually and takes a very long time, so solving the problem must use a computer program. Network reconfiguration using the Matlab 2013a program will analyze its power flow using the Newton Raphson method and using the Binary Particle Swarm Optimization (BPSO) artificial intelligence method. Before reconfiguration, the network experienced losses of 1169,1374 kWatt after reconfiguration experienced losses of 635,7444 kWatt. The results of the reconfiguration can reduce losses of 635,74440 kWatt or 45,6228 % from the previous loss.
Komparasi PID, FLC, dan ANFIS sebagai Kontroller Dual Axis Tracking Photovoltaic berbasis Bat Algorithm Hidayatul Nurohmah; Machrus Ali; Dwi Ajiatmo
Jurnal JEETech Vol. 3 No. 2 (2022): Nomor 2 November
Publisher : Universitas Darul Ulum

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

Abstract

Photovoltaic is a renewable electrical energy generator that is very suitable for tropical countries that get a lot of sunlight. However, this generator has low efficiency. To overcome this deficiency, several researchers have optimized the conventional dual-axis tracking solar method. Research is needed to optimize using artificial intelligence, in this case, the Adaptive Neuro-Fuzzy Inference System (ANFIS) and Bat Algorithm (BA). By comparing the performance of the model without control, conventional PID model, PID Auto tuning MatLab, Fuzzy Logic Controller (FLC) method, ANFIS method, and ANFIS-BA method. The simulation results show that the best model design on the horizontal axis and vertical axis dual tracking photovoltaic is ANFIS-BA with the smallest overshot, smallest undershot, and the fastest settling time of all model designs.
Optimasi PID Kontroller Pada Sistem Pengaturan Irigasi Menggunakan Metode Bat Algorithm (BA) Mohammad Hasib Al isbilly; Markhaban Siswanto; Machrus Ali; Muhammad Agil Haikal
Jurnal JEETech Vol. 3 No. 2 (2022): Nomor 2 November
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/jeetech.v3i2.3205

Abstract

Provision of irrigation water on agricultural land aims to meet crop water needs. In its utilization, irrigation water must be used optimally. An automatic irrigation system is needed that is able to provide water for plants with the expected conditions. PID (Proportional, Integral and Derivative) is widely used for optimization of control systems. In irrigation control system and sensor connection with software program (Matlab 2013b). PID simulation was applied to the irrigation prototype used to increase efficiency and determine the amount of irrigation water to regulate the provision of irrigation water as needed. As a comparison controller, conventional PID (PID-Konv) was used, Matlab auto tuning PID (PID-Auto), and Bat Algorithm tuning PID (PID-BA). The simulation results show that PID-BA is the best method in the simulation with the smallest overshot (0.043) and the fastest settlingtime (84 seconds).
Aplikasi ORCA Algorithm Pada Optimasi Penyediaan Daya Sistem Berbasis Mobilitas Kendaraan Listrik A.N. Afandi; Farrel Candra W.A; Machrus Ali
Jurnal JEETech Vol. 4 No. 2 (2023): Nomor 2 November
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/jeetech.v4i2.4204

Abstract

In reality, the electric power system is run by combining several production units to commit to meeting changes in load demand at each operating time. Apart from that, it also takes into account efforts to reduce overall costs while maintaining the specified technical limits. The general thing that is often done to achieve this condition is carried out with an economical operational approach which leads to minimizing operational costs. During 24 hour operations, the model that is often used is Dynamic Economic Operation (DEO) which takes into account changes in load demand over a 24 hour seven day period. This study uses the IEEE-62 bus system as a model, which is optimized using the Orca Algorithm. The load flexibility pattern is based on the effect of charging integration for Electric Vehicles (EV). The simulation results show that the Orca algorithm solves problems with fast iteration and provides the best results. The Orca algorithm provides good levels of convergence, power output and overall operational costs. EV distances and routes also have varying driving characteristics and varying power utilization. In terms of travel modes, which include one way and two trips, it has a mobility of 208,000 EVs, with respective distributions for working/business/study, service/shopping, leisure time, and other purposes.
Optimasi SMES untuk Load Frequency Control pada PLTMH Menggunakan ICA dan BA Machrus Ali; Hidayatul Nurohmah; Muhammad Agil Haikal
Jurnal JEETech Vol. 6 No. 1 (2025): Nomor 1 May
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/jeetech.v6i1.6110

Abstract

Micro hydro power plants (MHPPs) are increasingly important for decentralized renewable electrification, especially in isolated and rural grids where low inertia makes frequency highly sensitive to abrupt consumer-load variations. The main problem addressed in this study is that governor-turbine dynamics and conventional controller tuning are often insufficient to suppress transient frequency deviation rapidly, while previous MHPP load frequency control (LFC) studies commonly report ICA, BA, SMES, or CES results separately and in per-unit form, making practical comparison less direct. This paper contributes a current benchmark-based synthesis and normalized comparative analysis of Superconducting Magnetic Energy Storage (SMES)-assisted LFC for a 40 kVA, 32 kW, 50 Hz MHPP using the Imperialist Competitive Algorithm (ICA) and the Bat Algorithm (BA) with Integral Time Absolute Error (ITAE) as the optimization objective. Literature benchmark data are reprocessed by converting per-unit overshoot into Hz and by calculating reduction relative to the uncontrolled condition to provide a transparent and reproducible engineering interpretation. ICA-based PID-SMES gives a frequency overshoot of -4.11 x 10^-5 pu (-0.002055 Hz), whereas BA-based SMES-PID gives -4.038 x 10^-5 pu (-0.002019 Hz). Compared with the uncontrolled system, the overshoot reduction reaches 87.07% for ICA and 87.30% for BA. The main contribution of this work is a clarified research-gap map, a normalized ICA-BA comparison on a comparable MHPP benchmark, and a replicable basis for future equal-condition MATLAB/Simulink validation.
Prototipe AI-IoT Edge Berbasis Raspberry Pi dan TinyML untuk Pemantauan Jaringan Kampus secara Real-Time Bima Aulia Firmandani; F Yudi Limpraptono; Michael Ardhita; Machrus Ali
Jurnal JEETech Vol. 7 No. 1 (2026): Nomor 1 May
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/jeetech.v7i1.7112

Abstract

Complex campus networks featuring server-based services and the growing Internet of Things (IoT) require near-real-time monitoring systems without incurring significant overhead. This study proposes a lightweight Artificial Intelligence-Internet of Things (AI-IoT)-based network monitoring prototype on an edge computing platform, utilizing an unsupervised autoencoder for anomaly detection. This prototype is implemented out-of-band on a Raspberry Pi 4 Model B device that serves as both a collection and inference node. The deep learning model on the TensorFlow Lite framework is compressed using TinyML for compatibility with small devices. The results use a dataset of 600,000 labeled flows that illustrate the trade-off in operational flexibility. At the P70 threshold, an F1-Score of 0.60 (precision 0.96, recall 0.43) is obtained, and in the P95 scenario, false positives can be completely eliminated. The edge infrastructure demonstrated excellent performance with an average batch processing latency of 74 ms and a throughput of over 300 flows/second with a constant Random Access Memory (RAM) usage of 2.8%.
Pemberdayaan Usaha Ekonomi Kreatif dalam Inovasi Kerajinan Anyaman Pandan di Karanggebang, Munungkerep, Kabuh, Jombang Avi Maida W; Machrus Ali; Arif Rahman Sujatmika; Sunarti Sunarti; Novi Nur S; Muhammad Agil Haikal
Jurnal Pengabdian Masyarakat Universitas Darul Ulum Vol 1 No 1 (2022): DIMAS-UNDAR
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/dimas.v1i1.580

Abstract

Desa munungkerep merupakan salah satu desa penghasil kerajinan Pandan yang sudah ada sejak zaman dulu dan merupakan warisan budaya kearifan lokal yang diperoleh dari orang tua secara turun-temurun. Kerajinan anyaman dibuat dari tanaman pandan yang tersedia dengan jumlah yang melimpah di desa Munungkerep. Mayoritas penduduknya bekerja sebagai pengrajin anyaman tikar pandan. Permasalahannya adalah anyaman Pandan yang dihasilkan oleh pengrajin biasanya dijual langsung kepada pengepul anyaman sehingga nilai jual dari anyaman Pandan tergantung dari jumlah harga yang diberikan oleh pengepul. Mitra kegiatan pengabdian kepada masyarakat ini adalah pengelola dan pengrajin UMKM Anya Craft di Desa Munungkerep, Kecamatan Kabuh, Kabupaten Jombang yang bertujuan memberikan pelatihan mengenai inovasi produk baru yang dihasilkan dari kerajinan anyaman pandan dan meningkatkan kreativitas pengrajin. Dengan menambahkan desain baru yang lebih beragam dan disesuaikan dengan perkembangan zaman akan meningkatkan daya jual. Serta membantu mitra dalam memanfaatkan teknologi dan media sosial sebagai sarana promosi. Hasil dari kegiatan ini, pengrajin bisa memahami materi yang diberikan dan bisa mempraktekannya, mulai dari persiapan dan proses produksi. Kendala yang dihadapi adalah ada sebagian kecil pengrajin yang keterampilannya kurang memadai.
Pembuatan Produk Dari Kacang Kedelai Dengan Varian Rasa Sebagai Upaya Pemulihan Eknomi Pasca Pandemi: Desa Klangsemanding, Kecamatan Perak – Jombang Nur Salam; Triana Triana; Machrus Ali; Aslichah Aslichah; Rukmi Burdirahaju; Mualifi Usman
Jurnal Pengabdian Masyarakat Universitas Darul Ulum Vol 1 No 2 (2022): DIMAS-UNDAR
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/dimas.v1i2.65

Abstract

Kedelai merupakan sumber utama protein nabati dan minyak nabati dunia. Kedelai merupakan tanaman pangan berupa semak yang tumbuh tegak. Kedelai sebagai hasil bumi dusun Kalangsemanding harus dapat dimaksimalkan pemanfaatannya. Keuntungan akan semakin berlipat ganda jika warga mampu mengolah kedelai, misalnya dengan membuat susu kedelai. Atas dasar ini, penulis melakukan kegiatan pengabdian masyarakat yaitu mengajarkan remaja dan ibu membuat susu kedelai. Untuk memantau bahwa program dijalankan, maka tahapan selanjutnya dilakukan kegiatan pendampingan. Proses pendampingan ini dilaksanakan secara fisik dengan Ibu-Ibu Cara tersebut dirasa lebih efektif dan efisien dikarenakan masyarakat dapat terlibat dan melihat langsung proses pembuatan alatnya, serta pembibitan. Hasil program yang dijalankan pelatihan pembuatan susu kedelai dengan varian rasa telah berhasil memberdayakan ibu-ibu rumah tangga masyarakat Desa Kalangsemading dalam memulihkan perekonomian pasca pandemi. Masyarakat memberikan respon yang sangat positif terhadap kegiatan yang dilakukan dan menilai kegiatan ini sangat bermanfaat
Pemanfaatan Media Soasial Sebagai Upaya Mengenalkan Taman Banjarsari Agro Comunity (BAC) Dyah Rakhwati Tri Atmayanti; Nur Salam; Muhammad Agil Haikal; Machrus Ali; Putri Bahiyyah
Jurnal Pengabdian Masyarakat Universitas Darul Ulum Vol 2 No 1 (2023): DIMAS-UNDAR
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/dimas-undar.v2i1.2103

Abstract

One of the problems in the management of the Banjarsari Agro Community Park (BAC) located in Bajarsari Village, Bandarkedungmulyo District, Jombang Regency is the lack of understanding and maximizing social media that currently exists for the development process of the Banjarsari Village Tourism Park which is currently in the development stage. So far, the spread of these tourist attractions has been mostly through word of mouth or communities who have visited BAC. The hope is that in the future, with managers who operate and this tourist spot has social media, its existence will be increasingly recognized by people and its development will be faster.
Optimalisasi Luberan Sumber Air Melalui Pembangunan Pembangkit Picohydro Menggunakan Axial-Turbine di Desa Ngampungan, Bareng, Jombang Hidayatul Nurohmah; Machrus Ali; Laudhie Primadonni Kusumajaya; Achmad Afandi
Jurnal Pengabdian Masyarakat Universitas Darul Ulum Vol 5 No 1 (2026): DIMAS-UNDAR
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/dimas-undar.v5i1.5103

Abstract

Pandansili Tourism Site in Ngampungan Village, Bareng District, Jombang Regency, is a bathing tourism destination developed by the village-owned enterprise and Tourism Awareness Group since 2019. The situational analysis indicates that the partner requires renewable-energy innovation to reduce operational costs, strengthen educational tourism, and improve management capacity. This community service program utilizes spring-water overflow through a picohydro power plant design using an axial turbine. The technical data refer to the ZD760-LM-(18-20) axial-flow turbine-generator with 220 V AC rated voltage, 2 kW rated power, 1-5 m operating head, 0.02-1.0 m3/s water-flow range, and continuous-duty operation. At a nominal head of 3 m with turbine efficiency of 0.65 and generator efficiency of 0.85, the discharge required to produce 2 kW is approximately 0.123 m3/s. The implementation method consists of partner coordination, discharge and head survey, SWOT analysis, intake-turbine-generator-control-panel design, operation-maintenance training, and energy-utilization evaluation. The SWOT analysis shows an IFE score of 5.56 and an EFE score of 5.01, placing Pandansili development in Quadrant I with an aggressive/offensive strategy. The energy output is directed to tourism-area lighting, renewable-energy educational information boards, simple sensor/monitoring loads, and demonstration loads. The program is expected to improve energy independence, add educational tourism value, and strengthen Pokdarwis competence in managing appropriate technology based on local potential.
Co-Authors A.A. Ketut Agung Cahyawan W A.N. Afandi Achmad Afandi Achmad Muzajjad Achmad Zaini Achmad. Zaini Agus Raikhani Agus Raikhani Agus Raikhani Agus Raikhani Agus Raikhani Agus Raikhani Agus Raikhani, Agus Ahmad Ali Syaifudin Ahmad Fajar Rohmatullah Ahmad Fathurrobbani Ahmad Fauzi Ridhwan Ahmad Fauzi Ridhwan Alysia, Agnes Amir Maliki Abitolkha Andi Imran Andini, Tarrisma Delvy Angga Yodhas Tangkara Arga Prabowo Anshoruddin, Ilham Ardi Junianto Ardiyan Abi Winata Ardiyan Abi Winata Arfaah, Saiful Ari Octaviyan Arif Rahman Sujatmika Arrohman, Muhammad Askan Askan Askan Askan Askan, Askan Aslichah aslichah aslichah Asnun Parwanti Asnun Parwati Avi Maida W Bima Aulia Firmandani Budiman Budiman Budiman Budiman Budiman Budiman Budiman Budiman Budiman Cahyono, Iwan Cakra Buana, Arya Sula Cakra Buana, Arya Sulka Choiruddin Choiruddin Cholil Hasyim Dandy Tulus Herlambang Dannel Ramadhan Delief Wida Khaidir Dian Maharani Dimas Fajar Uman Putra Dina Mariani Dwi Ajiatmo Dwi Ajiatmo Dwi Ajiatmo Dwi Ajiatmo Dwi Ajiatmo Dwiana Hendrawati Dyah Rakhwati Tri Atmayanti Enggal Indra Gunawan F Yudi Limpraptono Fachrudin Hunaini Fahmi, Tubagus Faisal Faisal Fajardika, Risky Fariz Rifqi Zul Fahmi Farrel Candra W.A Febrian Rizal Anas Firda Amalia Firdaus, Aji Akbar Fresy Nugroho Fuad Dwi Hanggara Hadi Suyono Hadi Suyono Hamzah Arof Hari Sufitrihansyah Hari Sufitrihansyah Hasib Al-Isbilly, M. Hendi Sopian Hendi Sopian Hendro Dripoyono Hendro Dripoyono Herlambang Setiadi Hidayatul Nurohmah Hidayatul Nurohmah Hidayatul Nurohmah Hidayatul Nurohmah Hidayatul Nurohmah Hidayatul Nurohmah Hidayatul Nurohmah, Hidayatul Hofman Darmawan Ilham Anshoruddin Imam Robandi Iwan Cahyono Izzatul Umami Izzatul Umami Jatmiko, Anang Kadaryono Kadaryono Kadaryono Kadaryono Kadaryono Kadaryono, Kadaryono, Kadaryono Kholish Fadlili Kholish Ghoutsul Fadlili Lantip Trisunarno Latiana, Eka Laudhie Primadonni Kusumajaya Luqman Hakim Luqman Hakim M Agil Haikal M Ibrahim M Ibrahim M. Ibnu Masrur M. Ibnu Masrur M. Teguh Proyoga Markhaban Siswanto Maulana Dwi Hariska Mei Indrawati Michael Ardhita Miftachul Jannah Firdaus Miftachul Jannah Firdaus Miftachul Ulum Miftachul Ulum, Miftachul Miftahul Djanah Mochamad Ali Fikri Haiqal Mochamad Ali Rofiq Mochamad Ali Rofiq Mochamad Piono Mulyo Mochammad Heru Widodo Mochammad Nur Masrukhan Mohammad Hasib Al Isbilly Mualifi Usman Mudofar Baehaqi Muh Alfian Affandi Muh Alfian Affandi Muhamad Afif Dwi Wijaya Muhammad Ade Yusuf Alghifrani Muhammad Agil Haikal Muhammad Amirul Wahid Muhammad Aziz Muslim Muhammad Aziz Muslim Muhammad Ibrahim Muhammad Nur Hidayat Muhammad Ruswandi Djalal Muhlasin Muhlasin Muhlasin Muhlasin Muhlasin Muhlasin Muhlasin Muhlasin Muhlasin Muhlasin, Nasrul Fatkhur Nasrul Fatkhur Nieke Rudyanty Winanda Novi Nur S Nur Fadhilah, Firda Nur Salam Nurrohmah, Hidayatul Parwanti, Asnun Putri Bahiyyah Ramadhan, Dannel Rio Firmansyah Rio Firmansyah, Rio Rizqi Nafiardli Rizqi Nafiardli Rukhslin Rukmi Budirahaju Rukmi Burdirahaju Rukslin Rukslin Rukslin Rukslin Rukslin Rukslin Rukslin Rukslin Rusklin Ruslan Hidayat Ruslan Hidayat Ruslan Hidayat Ruslan Hidayat Saiful Arfaah Saiful Arfaah Sayekti Suindyah D Septa Dwi Candra Septa Dwi Candra Setiawan Setiawan Setiawan Shofwatal Qolbiyyah Siswanto, Agus Siswanto, Makhaban Soedibyo Soedibyo Sunarti Sunarti Sunarti Sunarto Sunarto Syamsiyah Yuli Dwi Andari Titis Amujiati Tri Mukti Lestari Triana Triana Triana Tubagus Fahmi Ulum, Miftachul Utoyo Efendi Venda Kusuma Apsari Wardatul Mufidah Wida Khaidir, Delief Wiky Krisdianto Wiky Krisdianto Yanuangga Galahartlambang Yanuar Mahfudz Safarudin Yoga Arie Pambayun Yoga Arie Pambayun Yurilla Endah Muliatie, Yurilla Endah