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All Journal Jurnal Rekayasa Mesin JOIV : International Journal on Informatics Visualization Jurnal Penelitian Pendidikan IPA (JPPIPA) Prosiding Seminar Nasional Teknik Mesin JTIK (Jurnal Teknik Informatika Kaputama) Jurnal Mekanik Terapan Mitra Akademia: Jurnal Pengabdian Masyarakat PROFICIO: Jurnal Pengabdian Masyarakat Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) JURNAL POLI-TEKNOLOGI Recent in Engineering Science and Technology
Sonki Prasetya
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PENGEMBANGAN BUDIDAYA TANAMAN ORGANIK DENGAN SISTEM HIDROPONIK OTOMATIS BAGI MASYARAKAT PERKOTAAN (Kelurahan Munjul) Prasetya, Sonki; Ridlwan, Hasvienda Mohammad; Muslimin, Muslimin; Khairunnisa, Ratna
Mitra Akademia: Jurnal Pengabdian Masyarakat Vol 3 No 1 (2020): Mitra Akademia: Jurnal Pengabdian Masyarakat
Publisher : Pusat Penelitian dan Pengabdian kepada Masyarakat (P3M) Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/mapnj.v3i1.2829

Abstract

Kebutuhan akan makanan sehat saat ini menjadi prioritas bagi masyarakat perkotaan. Di tengah-tengah isu banyaknya makanan seperti sayuran yang sudah terkontaminasi oleh zat kimia dalam proses pengembangannya menjadi salah satu kekhawatiran masyarakat. Kini budidaya tanaman hidroponik menjadi pilihan masyarakat perkotaan, karena dinilai sangat efektif bagi masyarakat yang ingin memenuhi kebutuhan konsumsi sayur mayur sehari-hari dengan kualitas pangan yang sehat dan alami. Berbagai metode pun ditawarkan untuk memaksimalkan hasil meski lahan terbatas.Namun bagi masyarakat perkotaan masih terdapat kendala lainnya, yakni tingkat kesibukan masyarakat kota dalam bekerja dan beraktifitas di luar rumah berdampak pada kurangnya waktu untuk melakukan hal lain seperti mengurus tanaman. Melalui program Pengabdian Masyarakat, Program Studi Teknik Mesin, Jurusan Teknik Mesin, Politeknik Negeri Jakarta memperkenalkan sebuah sistem hidroponik otomatis sehingga budidaya tanaman seperti sayuran di masyarakat kota dapat dilakukan.  Metode yang digunakan untuk mencapai tujuan adalah dengan cara : 1) penyuluhan, 2) demonstrasi, dan 3) penyerahan alat. Hasil kegiatan dapat disimpulkan yakni peserta semakin tertarik membudidaya tanaman hidroponik menggunakan sistem otomatis.
TRAINING ON THE CONVERSION TECHNIQUES OF GASOLINE MOTORCYCLES TO ELECTRIC FOR AUTOMOTIVE COMMUNITIES Zainuri, Fuad; Todaro, Muhammad; Prasetya, Sonki; Tullah, Muhammad Hidayat; Noval, Rahmat; Ridwan, Muhammad
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 5 No. 3 (2025): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/morfai.v5i3.3007

Abstract

Vehicles powered by gasoline still dominate the roads in Jakarta and its surrounding areas. This has led to uncontrollable levels of pollution in Jakarta. Electric vehicles are one solution to reduce the pollution levels in the city. Since it is not feasible to eliminate all gasoline-powered vehicles to switch to electric vehicles, converting these vehicles into electric ones is a viable solution to address this issue. One of the most widely used gasoline-powered vehicles is the motorcycle. The large number of gasoline motorcycles in Jakarta presents an opportunity for automotive communities, such as conventional vehicle workshops, to participate in the transition to electric vehicles. However, the automotive community must be skilled in converting gasoline motorcycles to electric ones. Training on converting gasoline motorcycles to electric has been conducted for the automotive community in Jakarta. Training participants come from various educational backgrounds, ranging from high school/vocational school to university graduates. As a result, the training participants have been able to increase their knowledge and skills in converting gasoline motorcycles to electric ones by up to 20.54%.
Comparing MLP and 1D-CNN Architectures for Accurate RUL Forecasting in Lithium Batteries Assagaf, Idrus; Sukandi, Agus; Jannus, Parulian; Prasetya, Sonki; Apriana, Asep; Edistria, Ega; Abdillah, Abdul Azis
Recent in Engineering Science and Technology Vol. 3 No. 04 (2025): RiESTech Volume 03 No. 04 Years 2025
Publisher : MBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59511/riestech.v3i04.127

Abstract

Accurately forecasting the Remaining Useful Life (RUL) of lithium-ion batteries is critical for optimizing battery management and ensuring operational reliability. This study compares the performance of two deep learning architectures—a Multilayer Perceptron (MLP) and a one-dimensional Convolutional Neural Network (1D-CNN)—in predicting RUL using datasets from CALCE batteries B35, B36, and B37. Data preprocessing involved outlier removal, missing value handling, and feature normalization, with key features extracted including Resistance, Constant Voltage Charging Time (CVCT), and Constant Current Charging Time (CCCT). Correlation analyses confirmed strong relationships between these features and RUL. Both models were trained and validated on preprocessed data, and their predictive accuracies were assessed using Root Mean Square Error (RMSE) and coefficient of determination (R2). Results indicated that while both architectures effectively captured battery degradation patterns, the MLP consistently outperformed the 1D-CNN, achieving on average 5% lower RMSE and 1.5% higher R2 across all tested batteries. These findings suggest that simpler fully connected networks may suffice for this forecasting task under the given feature set and preprocessing conditions. This work provides valuable insights into neural network model selection for battery health prognostics, guiding the development of efficient and accurate predictive maintenance strategies.
Perbandingan Kontrol Temperatur menggunakan Relay dan PID pada Oven Pengering berbasis Load Cell untuk Mengukur Kadar Air Buah Nidhar, Ainun; Belyamin, Belyamin; Prasetya, Sonki; Kamal, Dianta Mustofa
Jurnal Rekayasa Mesin Vol. 20 No. 1 (2025): Volume 20, Nomor 1, April 2025
Publisher : Mechanical Engineering Department - Semarang State Polytechnic

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jrm.v20i1.6135

Abstract

Pengeringan merupakan metode pengawetan yang digunakan untuk mengurangi kadar air pada makanan, memperpanjang masa simpan, dan menjaga kualitas produk. Penelitian ini membandingkan performa kontrol relay dan PID pada oven pengering berbasis load cell untuk mengukur kadar air buah secara otomatis sesuai Standar Nasional Indonesia (SNI). Pendekatan ini bertujuan meningkatkan efisiensi waktu dan akurasi proses pengeringan tanpa perlu penimbangan sampel secara manual. Metode penelitian melibatkan penggunaan oven pengering dengan load cell untuk membaca perubahan massa buah selama pengeringan. Arduino sebagai pengendali utama, thermocouple untuk memantau temperatur, dan mosul HX711 melalukan proses data massa. Dua skema kontrol temperatur uji relay dan PID dengan mode PI, dengan temperatur ditetapkan 105˚C. Hasil menunjukkan bahwa kontrol relay tidak mampu menjaga kestabilan temperatur akibat sifat on/off-nya yang tidak presisi. Sebaliknya, kontrol PID mode PI memberikan kestabilan temperatur dengan toleransi ±1˚C dengan rise time 2,43 menit, settling time 29,025 menit. Sistem diuji menggunakan buah mangga hingga massa stabil dengan laju penguapan rata-rata 1g/menit dan kadar air akhir mencapai 80,95%. Kontribusi penelitian ini terletak pada pengembangan sistem alat ukur kadar air berbasis evaporasi yang terintegrasi dengan load cell dan kontrol suhu otomatis, memungkinkan pengukuran kadar air secara real-time dan non-destruktif. Sistem ini berpotensi diterapkan dalam laboratorium maupun sektor industri yang membutuhkan pengukuran kadar air bahan secara efisien, presisi, dan berkelanjutan.
Preliminary Development of Vircadia Virtual Reality Platform for Monitoring Water Quality Powered by Solar Panels Rante, Hestiasari; Achmad, Zacky Maulana; Suaib, Norhaida Mohd; Prasetya, Sonki; Avianto, Tiyo; Hermanu, Adhi Indra; Alfarezi, Fitratama; Wijaya, Ray Yusra
JOIV : International Journal on Informatics Visualization Vol 8, No 3-2 (2024): IT for Global Goals: Building a Sustainable Tomorrow
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.3-2.3188

Abstract

Climate change is a global issue that significantly challenges water resources, especially in regions with limited public awareness about water conservation. It manifests through rising global temperatures, shifting weather patterns, more frequent and intense natural disasters, and instability in water availability. These problems are worsened by low public awareness and the reliance on steam power plants for water pumps. Addressing these challenges requires educational media that raises awareness about the causes and impacts of climate change. This study introduces the early development of a Virtual Reality (VR) platform utilizing Vircadia, focused on creating a 3D world and monitoring water quality with the support of solar power. Vircadia, an open-source platform, offers developers the flexibility to build and host virtual worlds on their servers, providing greater control over the environment, scalability, and customization. With Vircadia, we can rapidly implement a VR platform that integrates custom assets from Blender and personalized avatars from Ready Player Me. Vircadia can seamlessly connect to IoT platforms via weblink, allowing for real-time monitoring of water quality parameters and enabling users to interact directly with and oversee IoT devices within the VR environment. This paper discusses why we chose Ready Player Me and Blender as platforms for building 3D avatars and assets, and Vircadia as the VR Platform. Additionally, it addresses challenges encountered when using Vircadia, such as asset optimization and IoT device integration. Future research will focus on optimizing asset quality, enhancing IoT integration, and implementing carbon emissions monitoring within the VR platform.
IMPLEMENTASI PERANCANGAN PERANGKAT LUNAK UNTUK KENDALI DAN MONITORING MESIN VACUUM FORMING OTOMATIS Ridlwan, Hasvienda M.; Prasetya, Sonki; MumpuniAdhi, Pribadi; Muslimin, Muslimin; Mulyono, Sugeng
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 4 No. 1 (2020): Volume 4, Nomor 1, Januari 2020
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v4i1.629

Abstract

Implementation of software design for vacuum forming machines is the focus of this paper. This vacuum forming machine will be used for small and medium industries (IKM) in food in Indonesia, where the packaging process is essential. Packaging materials in the food business are polystyrene plastic (PS) and polyvinyl chloride (PVC), which are generally sold freely in specific sizes. The problem that arises in SMEs is the packaging that does not fit, both the size and shape of the product. On the other hand, small-scale packaging machines are still quite expensive in terms of cost because the machines do not originate domestically. Therefore, an IKM scale Vacuum Forming machine with economical costs is needed for the IKM business. Testing software for vacuum forming machines has been running using Labview and Arduino by utilizing serial USB communication with NI-Visa. The experimental results of the designed system have been successfully implemented to the sensors and actuators via the Arduino Uno, indicating that temperature control can stabilize the heat after 3 minutes of heating. Meanwhile, the software that has been designed has been successfully implemented on LabView can monitor and help operators to use the machine easily.
Analytical Conversion of Conventional Car to Electric Vehicle Using 5KW BLDC Electric Motor Zainuri, Fuad; Danardono A.S, Danardono A.S; Adhitya, M.; Subarkah, R.; Filzi, Rahman; Rahmiati, Tia; Tullah, M. Hidayat; Prasetya, Sonki; Nova, Rahmat; Todaru, M.; Ridwan, M.
Jurnal Penelitian Pendidikan IPA Vol 10 No 9 (2024): September
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i9.8599

Abstract

The automotive industry is witnessing a paradigm shift towards sustainable and eco-friendly transportation solutions. This project aims to contribute to this transition by converting a conventional internal combustion engine (ICE) car into an electric vehicle (EV) using a 5 kW Brushless DC (BLDC) electric motor. The conversion involves the removal of the traditional engine components and the integration of an electric propulsion system. The key components of the conversion include the BLDC motor, motor controller, battery pack, and associated power electronics. The BLDC motor is chosen for its efficiency, reliability, and compact design, making it suitable for retrofitting into existing vehicles. The motor controller manages the power supplied to the BLDC motor, ensuring optimal performance and efficiency. The project explores the challenges and solutions encountered during the conversion process, including adapting the vehicle's chassis to accommodate the new components, integrating a charging system, and addressing safety considerations. Additionally, efforts are made to optimize the overall weight distribution and maintain the vehicle's original handling characteristics. Performance testing is conducted to evaluate the acceleration, top speed, and overall efficiency of the converted electric vehicle. The results are compared with the original performance specifications of the conventional car to assess the success of the conversion. This project not only showcases the technical feasibility of converting conventional cars to electric vehicles but also highlights the environmental benefits associated with reducing reliance on fossil fuels. The findings contribute valuable insights to the growing field of electric vehicle conversions and promote sustainable transportation solutions.
PELATIHAN PERAWATAN SEPEDA DAN SEPEDA MOTOR LISTRIK KEPADA MASYARAKAT DI KEPULAUAN SERIBU Sonki Prasetya; Muhammad Todaro; Fuad Zainuri; Muhammad Hidayat Tullah; Rahmat Noval; Asep Yana
Jurnal Pengabdian Masyarakat FKIP UTP Vol 7 No 1 (2026): PROFICIO : Jurnal Abdimas FKIP UTP
Publisher : FKIP UNIVERSITAS TUNAS PEMBANGUNAN SURAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36728/jpf.v7i1.5329

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan pengetahuan dan keterampilan masyarakat Pulau Kelapa Dua, Kepulauan Seribu, dalam melakukan perawatan sepeda dan sepeda motor listrik. Pelatihan dilakukan melalui penyampaian materi teori dan praktikum langsung yang mencakup pengenalan komponen kendaraan listrik serta teknik perawatan sederhana yang sesuai dengan kondisi lingkungan kepulauan. Sebanyak 12 peserta dengan latar belakang pendidikan SMA dan SMK mengikuti pelatihan ini. Evaluasi dilakukan dengan metode pre-test dan post-test. Hasil menunjukkan peningkatan rata-rata nilai dari 45 menjadi 70,83, dengan rata-rata persentase peningkatan sebesar 36%. Seluruh peserta mengalami peningkatan pemahaman, meskipun dengan variasi hasil yang dipengaruhi oleh perbedaan latar belakang dan partisipasi selama pelatihan. Pelatihan ini dinilai efektif karena pendekatannya yang kontekstual dan aplikatif. Kelemahan kegiatan terletak pada keterbatasan waktu dan kedalaman materi. Ke depan, pelatihan serupa dapat dikembangkan menjadi program berkelanjutan di wilayah pesisir lainnya dengan menambahkan modul lanjutan dan melibatkan komunitas lokal sebagai mitra pendamping. Kegiatan ini memberikan kontribusi positif terhadap upaya transisi energi bersih di wilayah kepulauan.
Co-Authors Abdillah, Abdul Azis Abdul Rozaq Achmad, Zacky Maulana Adhitya, M. Afriyani, Aulia Dyah Agus Sukandi Ainun Nidhar, Ainun Alfarezi, Fitratama Ali Djamhuri Amatullah Fatin, Shafa Aprianto, Hibatullah Anis Arbiyanti, Arsya Amarlaily Asep Apriana, Asep Asep Yana Assagaf, Idrus Avianto, Tiyo Belyamin Belyamin Belyamin Danardono A.S, Danardono A.S Darmawan, Awang Dewin Purnama Edistria, Ega Filzi, Rahman Filzi, Rahman Fuad Zainuri Fuad Zainuri, Fuad Garjati, Vina Nanda Hardiansyah, Muhamad Firman Hermanu, Adhi Indra Hidayat Tullah, Muhammad Ilyas, Dede Muhamad Ilyas Isnanda Nuriskasari Iswanto, Andri Iwan Susanto Jannus, Parulian Jusafwar, Jusafwar Kamal, Dianta Mustofa Kamil, Raihan Khairunnisa, Ratna M. Ridwan M.Pd S.T. S.Pd. I Gde Wawan Sudatha . MARIA BINTANG Maulana, Irham Muhammad Hidayat Tullah Muhammad Hidayat Tullah, Muhammad Hidayat Muhammad Ridwan Muhammad Todaro MumpuniAdhi, Pribadi Muslimin Muslimin Mustofa Kamal, Dianta Nova, Rahmat Noval, Rahmat Nugroho Nugroho, M Wisda Nugroho, Pinky Andi Nusyirwan Nusyirwan Pratama, Erlangga Yudha Rahman, Muhammad Farid Aditya Rahmat Noval Rahmat Subarkah Rahmiati, Tia Ramiati, Tia Rante, Hestiasari Ridlwan, Hasvienda M Ridlwan, Hasvienda M. Ridlwan, Hasvienda Mohammad Romadhoni, M Rizky Sagita, Ainova Ellis Saryanto, Widhi Yoga Sausanina, Aisyah Setiawan, Nuril Deny Suaib, Norhaida Mohd Subarkah, R. Sugeng Mulyono Sumarsono, Danardono Agus Tirta Lianda, Handri Todaro, Muhammad Todaru, M. Tullah, M. Hidayat Utama, Praditya Khrisna Utomo, Dimas Rianto Wahyono, Agus Eko widi, Widiyatmoko Widiyatmoko Wijaya, Ray Yusra Yogatama, Muhammad Tatag Yuli Mafendro Dedet Eka Saputra Zainuri , Fuad