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Sosialisasi UMKM Pembuatan Permen Daun Kelor di Desa Mekar Sari Habibina Menatri; Tia Melati; Ahmad Fauzan Pulungan; Fauziah Nasution
Economic Reviews Journal Vol. 3 No. 4 (2024): Economic Reviews Journal
Publisher : Masyarakat Ekonomi Syariah Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56709/mrj.v3i4.522

Abstract

Community Service Program (KKN) is a platform for applying and developing knowledge and technology outside the campus, with a specific timeframe, work mechanism, and set requirements. KKN organized by Higher Education Institutions aims to enhance the quality of education for students, allowing them to gain greater added value in higher education. Through the implementation of KKN, it is expected that students can develop their social and personal competencies. This KKN program took place from July 25 to August 24, 2024, in Mekar Sari Village, Laut Tador Subdistrict, Batubara Regency. Mekar Sari Village is rich in natural resources that need to be developed to improve the welfare of the community. One of the programs initiated in this KKN is the socialization of making candy from moringa leaves as a Micro, Small, and Medium Enterprises (UMKM) product. This program aims to add value to existing natural resources while empowering the village community by improving their skills and income. By utilizing local potential, it is hoped that Mekar Sari Village can develop a sustainable home industry and have a positive impact on the village's economy. This socialization program includes technical training in candy production, product packaging, and effective marketing strategies to ensure the product can compete in wider markets.
Effect of Magnitude and Distance on Peak Ground Acceleration Using a Modified Akkar & Boomer (2007) GMPE for North Sumatra Tia Melati; Lailatul Husna Lubis; Ratni Sirait; Angga Wijaya
Journal of Technomaterial Physics Vol. 7 No. 2 (2025): Journal of Technomaterial Physics
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jotp.v7i2.22751

Abstract

The Ground Motion Prediction Equation (GMPE) is very important in estimating the intensity of earthquake shocks as a basis for risk mitigation. This study aims to modify and validate the Akkar & Boomer (2007) GMPE using shallow earthquake data in the North Sumatra region for the period 2017–2023. The earthquake data were obtained from BMKG and included parameters such as magnitude, depth, and distance from the source. The analysis method involved nonlinear regression, data cleaning, and validation using residual analysis. The results showed that the maximum ground acceleration (PGA) tended to decrease nonlinearly with increasing distance from the earthquake source. The modified GMPE equation was: Log₁₀ PGA = −0.5916 + 0.5875M + 0.0576M² + (−0.8699 + − 0.1985M) Log₁₀(√R² + 8.2032²) + 0.105, with an R² value of 0.56 and prediction error values such as 0.21; MAE 0.36; RMSE 0.46; STD 0.46). Thus, the modification of GMPE based on local data can provide a more representative estimate of earthquake hazards to support mitigation efforts in North Sumatra.