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All Journal Indonesian Journal of Electrical Engineering and Renewable Energy (IJEERE) Jurnal Inovasi Pengabdian dan Pemberdayaan Masyarakat
Sopyan, Daisya
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Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Public Health Social Sciences

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Implementasi TOGA sebagai Alternatif Kesehatan dan Utilisasi Lahan Kosong untuk Media Tanam di Dusun Santan, Desa Guwosari, Pajangan Bantul Zahiyah, Ashilah; Sopyan, Daisya; Syafira, Debyi; Sabaar, Linda Trisna Ayu Rahmawati; David, Muhammad; Maharani, Mutiara Puspita; Gunawan, Rizky Fadilah; Wulansari, Shinta; Putra, Wahyu Adam; Lestari, Wiwit Dwi; Wicaksono, Yanuar
Jurnal Inovasi Pengabdian dan Pemberdayaan Masyarakat Vol 4 No 1 (2024): JIPPM - Juni 2024
Publisher : CV Firmos

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54082/jippm.367

Abstract

Tanaman Obat Keluarga (TOGA) yaitu tanaman yang mempunyai berbagai manfaat untuk kesehatan dalam bentuk obat tradisional. Obat dari tanaman tradisional juga mengandung bahan alami sehingga tidak hanya diminati oleh masyarakat pedesaan tetapi juga dihargai karena minimnya efek samping yang dapat ditimbulkan. Kurangnya pengetahuan dari masyarakat Dusun Santan, Desa Guwosari, Kecamatan Pajangan, Bantul menjadi latar belakang diadakannya program kerja berupa utilisasi lahan kosong sebagai media tanam TOGA, edukasi penanaman toga bersama anak-anak usia dini, dan sosialisasi toga kepada ibu-ibu PKK di lingkungan tersebut. Kegiatan ini bertujuan untuk meningkatkan pengetahuan dan pemahaman kepada masyarakat di Dusun Santan mengenai TOGA. Metode penelitian yang digunakan adalah pendekatan ABCD (Asset Based Community Development). Keberhasilan program ditunjukkan melalui peningkatan pengetahuan masyarakat yang semula hanya 20,0% responden dengan tingkat pengetahuan yang baik, 33,3%, memiliki pemahaman yang cukup, sedangkan 46,7% lainnya memiliki pengetahuan yang kurang tentang Toga pada pretest. Dan hasil setelah sosialisasi dari 20 responden tersebut menghasilkan 89,5% pada rata-rata post-test. Terlaksananya program kerja ini diharapkan mampu meningkatkan pemahaman dan kesadaran masyarakat tentang tanaman obat sekalligus optimalisasi lahan kosong sebagai media tanamnya.
Analisis Time Series Pembangkit Listrik Tenaga Surya Berdasarkan Data Historis dan Iradiansi Menggunakan Metode ARIMA: Time Series Analysis Pembangkit Listrik Tenaga Surya Berdasarkan Data Historis dan Iradiansi Menggunakan Metode ARIMA Sopyan, Daisya
Indonesian Journal of Electrical Engineering and Renewable Energy (IJEERE) Vol 5 No 1 (2025): IJEERE June 2025
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/ijeere.v5i1.2014

Abstract

The demand for renewable energy in Indonesia continues to increase in line with the government's efforts to promote a sustainable energy transition. One of the rapidly growing technologies is On-Grid Solar Power Plants (PLTS), which rely on solar energy as their primary source. However, variations in solar irradiation and environmental factors cause fluctuations in the system's performance, potentially affecting its efficiency and reliability. Therefore, a robust method is needed to accurately predict system performance, supporting maintenance and operational optimization. This study applies the Seasonal Autoregressive Integrated Moving Average (SARIMA) method as a time series analysis approach to predict the Performance Ratio (PR) of PLTS based on historical data and solar irradiation variables. SARIMA was chosen because stationarity tests revealed a significant seasonal pattern that conventional ARIMA models cannot effectively handle. By considering seasonal factors, SARIMA provides a more accurate estimation of PR trends and fluctuations. This research aims to detect potential anomalies early, identify recurring operational patterns, and improve PLTS system monitoring efficiency. Model evaluation results show that SARIMA has higher accuracy than ARIMA in capturing seasonal patterns in PR data. Implementing this model can assist PLTS operators in making more data-driven decisions, optimizing maintenance strategies, and ensuring the reliability of renewable energy systems. These findings contribute to the development of more efficient energy management strategies and support the sustainability of solar energy utilization in Indonesia.
Co-Authors David, Muhammad Gunawan, Rizky Fadilah Maharani, Mutiara Puspita Putra, Wahyu Adam Sabaar, Linda Trisna Ayu Rahmawati Syafira, Debyi Wiwit Dwi Lestari, Wiwit Dwi Wulansari, Shinta Yanuar Wicaksono Zahiyah, Ashilah