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All Journal IPTEK The Journal for Technology and Science Journal of Science and Applicative Technology Infotekmesin Journal of Mechanical Engineering Jurnal Abdi Masyarakat Indonesia Andalas Journal of Electrical and Electronic Engineering Technology Jurnal Pengabdian Pada Masyarakat Journal of Sciencce Technology and Visual Culture J-Proteksion : Jurnal Kajian Ilmiah dan Teknologi Teknik Mesin Journal of Social Sciences and Technology for Community Service Jurnal Elektronika dan Telekomunikasi
Putty Yunesti
Department Energy System Engineering, Institut Teknologi Sumatera, South Lampung, Lampung
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Analysis of an Off-grid PV System for Disaster Mitigation Scheme in Remote Areas Pinto Anugrah; Putty Yunesti; Guna Bangun Persada
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 1 No. 1 (2021): May 2021
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/ajeeet.v1i1.10

Abstract

The main objective of this paper is to present the techno-economic analysis of an off-grid Photovoltaic system, which prepared to support disaster mitigation scheme in remote areas. As a case study, a regency in Mentawai Island, Sumatera Barat is chosen to represent a remote area in a disaster-prone location. The proposed system capacity is 20 kWp PV system as a single electricity source for medical facility in the island. As a tool in this study, RETScreen software was used to analyze the technical, environmental, and economical feasibility analysis. As a base case scenario, the medical facility was supported by a diesel-fueled generator and the PV system can deliver 10.14 MWh of electricity to load annually. Net annual GHG emission reduction of the system is 19.4 ton of CO2 equivalent. With the total initial cost for the whole PV system at USD 41,380, RETScreen simulation result showed that the equity payback of the project is 6.0 years with IRR of 11.9% hence the project is financially viable.
Desain Pembangkit Listrik Tenaga Surya Bifacial: Pendekatan Sudut Inklinasi Haogqea Dhiyah Ayu; Rishal Asri; Putty Yunesti
Infotekmesin Vol 15 No 2 (2024): Infotekmesin, Juli 2024
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v15i2.2352

Abstract

In this era, energy demand is increasing along with population growth and technological development. Energy is a basic need, and its availability is decreasing, necessitating renewable energy sources like solar energy. However, the current use of solar Photovoltaic (PV) relies only on one side. In this study, the bifacial method is used in solar power plants (PLTS) to reduce conventional energy consumption by identifying the relationship between the tilt angle and internal shading that affects the performance of bifacial photovoltaics. The PLTS system is designed with inclination angles of 8, 15, and 20 to minimize shading and maximize efficiency. PVsyst simulation results show that an 8 angle produces 22868 kWh/year, a 15 angle produces 22724 kWh/year, and a 20 angle produces 22464 kWh/year. Shading affects energy production, but the 8 angle has the lowest power reduction. Choosing the right inclination angle can improve PLTS efficiency and performance.
Penerapan Sistem Pengkabutan Kumbung Berbasis IoT dan EBT pada Anggota Kepung Seto Sejahtera Purwono Prasetyawan; Putty Yunesti; Raizummi Fil’aini
Journal Social Science And Technology For Community Service Vol. 6 No. 1 (2025): Volume 6, Nomor 1, March 2025
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jsstcs.v6i1.473

Abstract

Kegiatan pengabdian ini bertujuan untuk menyelesaikan permasalahan terkait produktivitas jamur tiram yang dihadapi oleh anggota kelompok Kepung Seto Sejahtera, terutama saat kondisi cuaca panas. Solusi yang ditawarkan adalah penerapan sistem pengkabutan otomatis berbasis teknologi Internet of Things (IoT) dan Energi Baru Terbarukan (EBT). Sistem ini diterapkan pada tiga kumbung jamur milik anggota kelompok, dilengkapi dengan sensor suhu dan kelembapan serta sistem pengabutan otomatis yang dapat dikendalikan secara daring melalui aplikasi smartphone. Selain implementasi teknologi, dilakukan juga sosialisasi, pelatihan, dan pendampingan kepada anggota kelompok untuk meningkatkan kemampuan manajerial dan pemanfaatan teknologi. Hasil pelaksanaan menunjukkan bahwa 4 anggota yang mengikuti sosialisasi, mayoritas memahami urgensi penggunaan teknologi ini. Tiga dari 4 anggota yang diberikan pelatihan, mampu mencoba sistem sendiri. Kemudian 2 dari 3 anggota yang diberikan pendampingan, mampu melakukan operasional dan perawatan mandiri. Penggunaan teknologi ini mampu menjaga kestabilan suhu dan kelembapan kumbung serta mempertahankan produktivitas jamur tiram di tengah cuaca panas. Selain itu, keberhasilan sistem ditunjukkan dengan evaluasi fungsionaltas sistem. Kegiatan ini juga memberikan dampak positif terhadap pencapaian Indikator Kinerja Utama (IKU) dan program MBKM di lingkungan perguruan tinggi.
IoT and Renewable Energy Training and Implementation for Smart Village in Karang Anyar Purwono Prasetyawan; Putty Yunesti; Afit Miranto; Doni Bowo Nugroho; Gde KM Atmajaya; Meraty Ramadhini; Muhammad Reza Kahar Aziz; Eko Satria
Journal Social Science And Technology For Community Service Vol. 7 No. 1 (2026): Volume 7 Nomor 1 Maret 2026
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jsstcs.v7i1.1662

Abstract

This community service program addressed productivity instability in oyster mushroom cultivation and limited utilization of digital and renewable-energy-based village infrastructure in Karang Anyar Village, South Lampung. The program aimed to strengthen agricultural productivity and support Smart Village development through training and implementation of Internet of Things (IoT) and renewable energy technologies. The activities included participatory needs assessment, installation of an IoT-based automatic misting system in mushroom houses, deployment of solar-powered lighting systems for the village sports field, and training on Content Management System (CMS)-based website management involving mushroom farmers, village administrators, and university students participating in the Community Service Program (KKN). Functional testing showed that the IoT-based misting system achieved 100% operational performance, while training activities involved seven mushroom farmers with more than 50% of participants demonstrating adequate understanding of system operation and digital platform utilization. In addition, the installation of solar-powered lighting improved the accessibility of village sports facilities at night. These results demonstrate that integrating IoT and renewable energy technologies effectively supports Smart Village development and strengthens sustainable community-based innovation in rural areas.
Studi Pengaruh Metode Pengendalian Motor Terhadap Konsumsi Energi Pada Sistem Cooling Tower Andina Meilani Putri; Rishal Asri; Putty Yunesti
Infotekmesin Vol 16 No 2 (2025): Infotekmesin: Juli 2025
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v16i2.2796

Abstract

Cooling tower fan motors commonly still operate using a direct-on-line (DOL) system with constant speed, which leads to high energy consumption. This study aims to compare the energy consumption between the DOL system and the variable speed drive (VSD), as well as to evaluate their economic feasibility. A quantitative approach is applied through operational data analysis and simulations using MATLAB Simulink. Two operating scenarios are tested: full operation using DOL and using VSD. The simulation results showed that VSD was able to reduce energy consumption by 22.08 without reducing cooling efficiency. The economic evaluation is carried out through a payback period analysis based on investment costs and annual energy savings. These findings demonstrate that VSD is economically viable and can be gradually implemented as an energy efficiency strategy in high-load cooling systems.
Evaluasi Kinerja dan Efisiensi Generator Sebelum dan Sesudah Overhaul pada PLTP Unit 1 PT. XYZ Putty Yunesti; Muhammad Ari Fathullah; Setiadi Wira Buana; Wulan Kusuma Wardani; Ririn Andriyani; Muhammad Rizky Zen; Guna Bangun Persada; Farisan Robbani; Isra Nuur Darmawan
J-Proteksion: Jurnal Kajian Ilmiah dan Teknologi Teknik Mesin Vol. 11 No. 1 (2026): J-Proteksion
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/jp.v11i1.3780

Abstract

Kinerja generator pada PLTP Unit 1 PT. XYZ mengalami beberapa kendala operasional seperti derating, penghentian unit, dan keterlambatan perawatan yang dapat menurunkan efisiensi pembangkitan. Penelitian ini bertujuan untuk mengevaluasi efisiensi generator sebelum dan sesudah overhaul serta menganalisis perubahan kinerja generator berdasarkan parameter operasional dan termodinamika. Penelitian menggunakan pendekatan kuantitatif deskriptif dengan data operasional generator dan sistem uap yang dikumpulkan selama 14 hari sebelum dan sesudah overhaul. Parameter yang dianalisis meliputi daya generator, faktor daya, tekanan uap, laju aliran massa uap, entalpi, dan entropi. Hasil penelitian menunjukkan bahwa sebelum overhaul daya rata-rata generator sebesar 46,36 MW dengan efisiensi rata-rata 89%, sedangkan setelah overhaul meningkat menjadi 50,38 MW dengan efisiensi rata-rata 96%. Peningkatan efisiensi menunjukkan bahwa proses overhaul berkontribusi terhadap perbaikan kinerja generator dan sistem pembangkitan secara keseluruhan.
LSTM-Based Daily Power Forecasting for a 1 MWp PV System in Tropical Indonesia: Toward Operational Optimization Ali Muhtar; Syamsyarief Baqaruzi; Putty Yunesti
Jurnal Elektronika dan Telekomunikasi Vol. 26 No. 1 (2026)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.777

Abstract

Variations in solar irradiance and module temperature significantly affect the performance and operational efficiency of large-scale photovoltaic (PV) power systems, especially in tropical regions. This study investigates the application of a Long Short-Term Memory (LSTM) network for accurate real-time power prediction in a 1 MWp PV power plant at Institut Teknologi Sumatera (ITERA), Indonesia. Unlike traditional approaches and conventional artificial neural networks (ANN), LSTM networks can effectively capture long-term temporal dependencies and highly nonlinear patterns in PV output data. A five-minute resolution dataset, including actual power output, solar irradiance, and module temperature, was collected throughout March 2025 for model training, with validation performed using independent data from April. The developed LSTM model achieved a mean absolute error (MAE) of 42.8 kW (approximately 4–6% of maximum plant capacity) and a coefficient of determination (R²) of 0.84 during active hours (05:00–19:00) on the validation dataset. These findings indicate that the model performs well not only on the training data, but also maintains strong generalization to unfamiliar data. The proposed approach enables reliable real-time power prediction, supporting applications such as energy forecasting, inverter control, dispatch planning, and anomaly detection in PV systems. This work provides a practical and scalable solution for improving the adaptability and integration of solar power plants in dynamic tropical environments, contributing to the advancement of AI-driven sustainable energy systems.
Co-Authors Abdul Muhyi Afit Miranto Alfajar Puja Kusuma Ali Muhtar Amrina Mustaqim Andi Rahadiyan Wijaya Andina Meilani Putri Arirohman, Ilham Dwi Buana, Setiadi Wira Devy Arysandi Doni Bowo Nugroho Eko Pujiyulianto Fajar Paundra Fajar Paundra Farisan Robbani Gde KM Atmajaya Guna Bangun Persada Guna Bangun Persada Guna Bangun Persada Guna Bangun Persada Haogqea Dhiyah Ayu Harahap, Al Barra I Gusti Bagus Budi Dharma Isra Nuur Darmawan Madi Madi Meraty Ramadhini Muhammad Ari Fathullah Muhammad Reza Kahar Aziz Muhammad Rizky Hikmatullah Muhammad Rizky Zen Nurdin, Akhmad Pinto Anugrah Praseptiawan, Mugi Prasetyawan, Purwono Rahmat Ramadhan Wahab Raizummi Fil’aini Rihardian Maulana Wicaksono Rihardian Maulana Wicaksono Ririn Andriyani Risfihan Rafi Rishal Asri Sabhan Kanata Satria, Eko Setiadi Wira Buana Syamsyarief Baqaruzi Wulan Kusuma Wardani Yulianti Fatmawati