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All Journal Indonesian Journal of Applied Statistics Jurnal Pengabdian Masyarakat Hasanuddin (JPMH)
Nasir, Rafli Setiawan
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Environmental Science Public Health Social Sciences Other

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SOSIALISASI PEMANFAATAN SOFTWARE MICROSOFT EXCEL DALAM PENGOLAHAN DATA SECARA OPTIMAL DAN EFISIEN DI DESA BULO-BULO Nasir, Rafli Setiawan
Jurnal Pengabdian Masyarakat Hasanuddin (JPMH) Vol 5 No 1 (2024)
Publisher : Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31947/jpmh.v5i1.34448

Abstract

Pengolahan data yang efisien dan akurat merupakan salah satu faktor penting dalam meningkatkan kualitas pelayanan publik di tingkat desa. Namun, masih banyak desa yang belum memanfaatkan teknologi informasi dan perangkat lunak dalam pengarsipan dan pengelolaan data. Salah satunya adalah Desa Bulo-Bulo, yang memiliki jumlah penduduk dan dokumen yang cukup banyak, namun masih mengandalkan pengarsipan manual yang rentan terhadap kerusakan dan kehilangan data. Oleh karena itu, penulis mengadakan program kerja “Sosialisasi Pemanfaatan Software Microsoft Excel Dalam Pengolahan Data Secara Optimal Dan Efisien di Desa Bulo-Bulo” sebagai bentuk pengabdian masyarakat. Program kerja ini bertujuan untuk memberikan pemahaman, pelatihan, dan edukasi kepada perangkat desa dan masyarakat tentang penggunaan microsoft excel dalam pengarsipan dan pengelolaan data. Program kerja ini dilaksanakan dengan metode sosialisasi, diskusi, simulasi, dan evaluasi. Hasil program kerja ini menunjukkan bahwa terdapat peningkatan pemahaman dan kemampuan perangkat desa dalam pengolahan data menggunakan microsoft excel secara signifikan. Luaran program kerja ini berupa pengetahuan dan pemahaman tentang pengolahan data secara optimal dan efisien dengan menggunakan microsoft excel. Program kerja ini diharapkan dapat memberikan manfaat bagi masyarakat Desa Bulo-Bulo dalam hal pengarsipan data secara digital.
Analisis Kemiskinan di Sulawesi Selatan dengan Regresi Nonparametrik Berbasis B-Spline Nasir, Rafli Setiawan; Wahid, Muhammad Agung; Padang, Domi Rico Arung; Islamiyati, Anna; Raupong, Raupong
Indonesian Journal of Applied Statistics Vol 7, No 1 (2024)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijas.v7i1.80716

Abstract

Poverty is one of the problems faced by Indonesia, including in the province of South Sulawesi. This study aims to identify and understand the complex relationship between factors influencing poverty in South Sulawesi using nonparametric B-Spline regression. The data used are secondary data obtained from the publication of the Central Statistics Agency in the form of Data and Information on Poverty in Districts/Cities in Indonesia in 2022. The variables used are the percentage of poor people as the dependent variable, and the percentage of per capita expenditure on food, poverty depth index, and poverty severity index as independent variables. The best B-Spline model was obtained using order 2 for each independent variable, and one knot for each independent variable at a certain point. This model provides a Generalized Cross-Validation (GCV) value of 10.199728. The results of the analysis show that the measure of the goodness of the model obtained or R2 which means that the percentage of per capita expenditure on food, poverty depth index, and poverty severity index greatly influences the percentage of poor people in South Sulawesi. The relationship between the independent variables and the dependent variables is non-linear and varies. The B-Spline model can produce an accurate and flexible picture of the relationship pattern and variability in poverty data in South Sulawesi. This study can provide in-depth insights and recommendations for the government in the form of poverty alleviation policies based on local data and non-linear analysis, by targeting specific interventions according to the unique conditions of each region in South Sulawesi to increase the effectiveness of poverty alleviation.
Co-Authors Anna Islamiyati Padang, Domi Rico Arung Raupong, Raupong Wahid, Muhammad Agung