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All Journal Jurnal Elektronika dan Telekomunikasi RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer) Manutech : Jurnal Teknologi Manufaktur Electrices : Jurnal Otomasi Kelistrikan dan Energi Terbarukan Indonesian Journal of Society Engagement (IJSE) Dulang: Jurnal Pengabdian Kepada Masyarakat Prosiding Seminar Nasional Inovasi Teknologi Terapan Jurnal Inovasi Teknologi Terapan
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Politeknik Manufaktur Negeri Bangka Belitung
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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SOSIALISASI DAN PELATIHAN PENGGUNAAN MESIN PEMBERI PAKAN IKAN TAWAR OTOMATIS BERBASIS IoT DI KOLONG BEKAS PENAMBANGAN TIMAH DI KABUPATEN BANGKA Sulistyo, Eko; Dwisaputra, Indra; Ocsirendi, Ocsirendi; Tumatul Ainin, Dewi; Buulolo, Martinus; Juanda, Juanda; Ramli, Ramli
Jurnal Pengabdian Masyarakat Polmanbabel Vol. 5 No. 02 (2025): DULANG : Jurnal Pengabdian Kepada Masyarakat
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33504/dulang.v5i02.697

Abstract

This community service activity aims to improve the efficiency and productivity of freshwater fish farming in former tin mining pits through the socialization and training on the use of Internet of Things (IoT)-based automatic feeding machines. The activity was carried out in Bangka Regency and involved 20 local fish farmers who had previously relied on manual feeding methods. The program began with an introduction to the concept and benefits of IoT technology in the fisheries sector, followed by theoretical training and hands-on practice using the automatic feeding machine, as well as an evaluation of the training outcomes through pre-tests and post-tests. The evaluation results showed a significant increase in participants' understanding of IoT technology, with an average improvement of 87%, rising from 13% prior to the training. Participants also demonstrated better comprehension of how the automatic machine works and enhanced their ability to operate it independently. The IoT-based automatic feeding machine has proven effective in increasing time efficiency, reducing feed waste, and enabling remote monitoring via mobile devices. This community service initiative is expected to be a starting point for technological transformation in aquaculture practices in post-mining areas, moving towards a more modern, productive, and sustainable system.
Maximum Power Point Tracking (MPPT) pada Solar Panel Ardhita, Maya; Liana, Valencia; Setiawan, I Made Andik; Ocsirendi, Ocsirendi
Jurnal Inovasi Teknologi Terapan Vol. 3 No. 2 (2025): Jurnal Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33504/jitt.v3i2.281

Abstract

The increasing demand for electricity encourages the utilization of renewable energy such as solar panels. However, solar electricity production faces efficiency challenges as the panel output is highly dependent on light intensity and ambient temperature. This test aims to optimize the output power of solar panels using Maximum Power Point Tracking (MPPT) with Perturb and Observe (PO) method and light sensor-based prediction (LDR). The test was conducted using 100 Wp monocrystal solar panel with MPPT algorithm implemented through buck-boost converter and controlled by Arduino Mega 2560. The results showed that the MPPT system increased the output power efficiency by 16.13% compared to the non-MPPT system. Variation of light intensity from 0 to 10,400 lux resulted in an increase in voltage from 1.15V to 25V, with maximum power increasing from 0.023W to 13W, reaching an average of 800 LUX/W. Characterization of LDR resulted in a conversion factor of 7,761.194 LUX/LDR, enabling accurate prediction of MPPT values based on light intensity. Comparative analysis between the LDR and PO methods showed the LDR method reached a maximum power of 11.62W at 9,293.71 lux, while the PO method reached 12.51W at 8,500 lux, indicating comparable performance in optimizing solar panel output power.
Penerapan Pembangkit Listrik Tenaga Angin Untuk Penerangan Lampu Jalan Dipesisir Pantai Teluk Uber Secara Otomatis Berbasis IoT Azharry, Deni; Maulina, Firly; Sulistyo, Eko; Ocsirendi, Ocsirendi
Jurnal Inovasi Teknologi Terapan Vol. 3 No. 2 (2025): Jurnal Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33504/jitt.v3i2.317

Abstract

Renewable energy, particularly wind power, offers a relevant solution to address climate change challenges and the growing electricity demand, especially in coastal areas such as Pantai Teluk Uber, Bangka Belitung. This study develops a Wind Power Generation System (PLTB) based on the Internet of Things (IoT) for real-time monitoring via smartphones. The system utilizes a wind turbine equipped with an anemometer sensor for wind speed, an INA219 sensor for monitoring current and voltage, and a BH1750 sensor for measuring light intensity. The collected data is transmitted to an IoT platform for remote monitoring. Additionally, the system was tested for battery charging and discharging, with charging requiring approximately 8 hours at an average current of 1 A, and discharging lasting around 10 hours with a 12V 10W DC lamp load. The maximum power generated by the system is 6.73 watts at a wind speed of 9 m/s, while the minimum power recorded is 0.35 watts at a wind speed of 2 m/s. The results show that the IoT-based PLTB system can efficiently provide energy for nighttime lighting and other applications.
Sistem Proteksi Dan Kontrol Pada Sensor Motor Menggunakan Face Rcognition Pratama, Bagas; Savitri, Karlin; Sulistyo, Eko; Ocsirendi, Ocsirendi
Jurnal Inovasi Teknologi Terapan Vol. 3 No. 2 (2025): Jurnal Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33504/jitt.v3i2.328

Abstract

A motorcycle protection system based on Face Recognition was developed to improve security and prevent theft. This system combines protection key technology with a real-time location tracking feature connected via an Android application. NodeMCU is used as the main controller that integrates the GPS module to obtain motorcycle location data, while Firebase functions as a storage and processor of location data displayed on the application. This system is designed to control motorcycle electricity, including turning the motorcycle on and off via the application, while monitoring the location of the motorcycle with high accuracy. Testing was carried out to assess the function of key protection and motorcycle location tracking. The system has proven to have a fast response time and is reliable in controlling motorcycle electricity, both for one unit and several motorcycle units at once. Location tracking testing showed a success rate of 99% with a very low error of 0.0003%, while the data displayed on the application and Firebase has an accuracy of 100%. The results of the study show that this system can replace manual ignition with a better level of security. In addition, the location tracking feature provides additional benefits for users to monitor the position of the motorcycle in real time with accurate and reliable data.
Co-Authors ., Yudhi Aan Febriansyah Aditya, Decxa Amanda Tia, Tariska Anada, Dea Andhika Dwi Putra Andini, Dilah Ardhita, Maya Ariansyah Sapta Arrois Syaifullah Athalah Pasha Hafidly Audrey Nugraha, Frizscha Azharry, Deni Bambang Supriyadi catur arief wijaksono Dandi Efendi Dharta, Yuli Dori Oktariandi Dwi Nugroho, Bimo Eko Sulistyo Eko Sulistyo Fadillah, Ilham Fauzan Andika Putra Fauzan, M Nur Fikri Mardianto Fildzah Raazzaq Fitri Annisha, Angelin Gema Azfajri Haikel, M. Zuhriyandi Hera, Hera Indra Dwisaputra Irfan Rahmi Irwan Irwan Islamaya, Adinda Juanda Juanda Kartika Magdalena Kunanti, Ananda Kusuma Pradana, Teguh Hari Liana, Valencia Lutfi Toya, Leando M Yunuf Made Andik Setiawan Mahardika Apriliandi, Aldy Martinus Buulolo Maryani Supatria Maulina, Firly Mayati, Iis Meisya Suandari Muhamat Sarwanto Muhammad Erfani Ramadhani Muhammad Fajri Rinaldy Muhammad ifdansyah Muhammad Naufal Almahmudy Ninda Puspita Nofriyani Nofriyani Nova Anggriani Saputri Nur Khasanah Nursabila, Dhava Okta Rina, Tiara Parulian Silalahi Pratama, Bagas Pratama, M. Setya Puput Dwi Wahyuni Rahmadhani, Kiki Patrisia Rama Ramli Ramli Rifqy Adrian Riki Afriansyah Riki Afriansyah Afriansyah Rindy Clarita Rizastiani, Rizastiani Rosidah Safitri, Juliarti Sahrul Ramadhan Salsabilla, Safira Sandika Romadhon Romadhon Santrila, Hafizra Saputra, Gilang Saputra, Gillang Saputro, Ego Wisnu Savitri, Karlin Selah Sella Amril Sepina, Sepina Setiawan, I Made Andik Silvia Syavira Sindi Anggira Siti Barokah Sopian Arif Sulistiarawati Sunita Handayani Surojo Susianti, Helda Tesah Aldi Parani Tia Fatiha Trihendi Pamungkas Pamungkas Tumatul Ainin, Dewi Vadila, Vadila Wandari, Fitri Wijaya, Sastra Wiwin Sundari Wulandari, Niki Yandi, Misri Yudhi Yuni Setialoka Zanu Saputra