Claim Missing Document
Check
Articles

Found 13 Documents
Search

Prediction of Solar Radiation Data for Garlic Production in Magelang Regency Using Long Short-Term Memory Safrudin, Muhammad Safrul; Sitanggang, Imas Sukaesih; Adrianto, Hari Agung; Aini, Syarifah
JOIN (Jurnal Online Informatika) Vol 9 No 2 (2024)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v9i2.1113

Abstract

Garlic importation in Indonesia is frequently carried out to meet the high domestic market demand. To reduce dependency on imports, the development of local garlic production is crucial. This study aims to determine the optimal solar radiation for garlic growth using the Long Short-Term Memory (LSTM) algorithm. This algorithm was selected due to its ability to analyze time-series data and predict long-term patterns. The LSTM model was trained with the Adam optimizer, using a configuration of 1000 epochs, a batch size of 6, and a dropout rate of 2.0 to prevent overfitting. The model evaluation results show an indicating good accuracy with a RMSE of 0.1020, a Mean Squared Error (MSE) of 0.0104, and a correlation coefficient of 0.740, although it still has limitations in capturing extreme data fluctuations. The study found that in Magelang Regency especially in the sub-districts of Windusari, Grabag, Ngablak, Pakis, Dukun, Kaliangkrik, and Kajoran have optimal solar radiation for garlic cultivation between March and May, with a radiation range of 380 W/m² to 440 W/m². These findings provide valuable guidance for farmers in determining the optimal planting period, potentially enhancing local garlic production and reducing import dependency.
DEVELOPMENT POTENTIAL OF SMALL AND MEDIUM ENTERPRISES BASED ON SPATIAL CONCENTRATION IN SARBAGITA AREA Lumbantobing, Agape; Munibah, Khursatul; Agung Adrianto, Hari
Jurnal Teknologi Industri Pertanian Vol. 35 No. 2 (2025): Jurnal Teknologi Industri Pertanian
Publisher : Department of Agroindustrial Technology, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24961/j.tek.ind.pert.2025.35.2.186

Abstract

Several studies have found that disparities still exist between regions within the Sarbagita area. As a driving force for the regional economy, the role of Small and Medium Enterprises (SMEs) is important to be developed based on their potential in solving these problems. This study aimed to identify the potential of each type of SME based on aspects of specialisation and spatial concentration using the Krugman Index, Hoover Ballasa Index, and LISA analysis methods. The data used in this study is based on the number of SME units in each area of the Sarbagita Area which are grouped based on eight categories of SME types. The research found that the specialisation categories of SME types from highest to lowest, namely: iron and steel; non-metallic mineral; wood goods; textile and apparel; printing and publishing; basic chemical; fertilizers, and plastic equipment, metal goods; food and beverage. The results of this study also show that there are concentrations and spatial relationship patterns of each type of SME with High-High (H-H), High-Low (H-L), Low-High (L-H), and Low-Low (L-L) patterns. This spatial information is expected to be a reference for directing SME development strategies in the Sarbagita area. Keywords: small and medium industry; spatial concentration; Sarbagita area
Enhancing Farmers’ Literacy on Foot-and-Mouth Disease through a Mobile Expert System Application in Labuhanbatu Utara: Peningkatan Literasi Peternak akan PMK (Penyakit Mulut dan Kuku) melalui Aplikasi Mobile Sistem Pakar di Labuhanbatu Utara Hasibuan, Lailan Sahrina; Prayitno, Lilik; Giri, Endang Purnama; Kustiyo, Aziz; Adrianto, Hari Agung
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 9 No. 2 (2025): Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dinamisia.v9i2.23983

Abstract

Indonesia, causing distress among farmers due to their limited knowledge of how to handle the disease. This situation has been exploited by unscrupulous traders and middlemen who spread misinformation, claiming that cattle infected with FMD will inevitably die. Taking advantage of the panic, they purchase the animals at low prices and resell them at higher prices after treatment. To address this issue, a team of researchers from IPB University carried out a community outreach program aimed at improving farmers' literacy regarding FMD. As part of the program, a mobile-based expert system application was introduced, enabling farmers to perform quick, independent diagnoses based on observed symptoms. The evaluation results, based on pre-test and post-test assessments, showed a significant increase in farmers' understanding after attending the seminar. This innovation is expected to empower farmers to manage FMD more independently and effectively.