Claim Missing Document
Check
Articles

Found 2 Documents
Search

Peningkatan Kompetensi dan Profesionalitas Warga Desa Tambaksawah Sidoarjo dalam Mengoperasikan Microsoft Excel Untuk Menuju Desa Yang Unggul dan Produktif Jannah, Sa'idah Zahrotul; Pusporani, Elly; Ana, Elly; Syahzaqi, Idrus; Makkiyah, Afifah Nur; Ramadhanti, Aulia; Ariyani, Azizah Dewi; Ramadhani, Azzah Nazhifa Wina; Trisa, Nadya Lovita Hana; Carista, Nashwa; Naura, Sheila Sevira Asteriska
I-Com: Indonesian Community Journal Vol 5 No 1 (2025): I-Com: Indonesian Community Journal (Maret 2025)
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/icom.v5i1.6272

Abstract

Tambaksawah Village, Sidoarjo, is an industrial village that has the potential to improve the quality of life. However, this village faces obstacles, such as the limited skills of village officials using Microsoft Excel and the minimal application of technology in village institutions. Community service programs using Microsoft Excel are useful in supporting village administration efficiency and encouraging productivity. The methods include on-site training, group mentoring, international certification, and certification exams. Training followed by mentoring is carried out for one month. The evaluation results show an increase in the average score from 50.4 to 60.16, which shows an increase the understanding of participants. Apart from 7 participants, only 5 participants succeeded in obtaining official certificates. This activity succeeded in improving participants' skills in operating Microsoft Excel, so it is hoped that this can be the first step to advancing technological capacity and can help in developing Tambaksawah Village.
Mapping Food Insecurity: Spatial Modelling of Undernourishment Prevalence in Indonesia using Geographically Weighted Regression Saifudin, Toha; Chamidah, Nur; Ramadhina, Fidela Sahda Ilona; Al Hasri, Ilham Maulana; Trisa, Nadya Lovita Hana; Valida, Hanny; Setyawan, Muhammad Daffa Bintang
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 9, No 4 (2025): October
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v9i4.32063

Abstract

Undernourishment is a major global issue, with significant impact observed in Indonesia. A method of assessing the prevalence of energy deficiency resulting from inadequate nutrition is through the Prevalence of Undernourishment (PoU) index. From 2019 to 2022, Indonesia's PoU increased gradually, reaching 10.21% in 2022, indicating growing undernourishment and unstable food availability. This study aims to utilize Geographically Weighted Regression (GWR) to identify and analyze the factors contributing to undernourishment. The data were obtained from the Central Bureau of Statistics (BPS) in 2024, covering 38 provinces in Indonesia. This study examined six factors: per capita spending, access to potable water, mean years of schooling, access to adequate sanitation, college participation rate, and mean food expenditure. The findings show that the GWR model outperformed the conventional model, demonstrating greater explanatory power by accounting for 96.1% of the spatial variation in undernourishment and achieving the lowest AIC value of 176.7052. These findings highlight the need for region-specific food security policies, particularly in eastern Indonesia. The results can inform targeted government interventions and guide future spatial econometric research on food security.