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All Journal Dharma Bakti Enthusiastic : International Journal of Applied Statistics and Data Science
Drostela Putri, Maria Fatima
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Mathematics Social Sciences Other

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Pengembangan Keripik Gadung Dan Sambal Di Dusun Tanjungsari Desa Sukoharjo Melalui Pendampingan Pengolahan Produk Nipu, Marsailes; Pekujawang, Anastasya R. A.; Drostela Putri, Maria Fatima; Widarti, Sinta; Dwi Bekti, Rokhana
DHARMA BAKTI Dharma Bakti-Vol 6 No 2-Oktober 2023
Publisher : LPPM IST AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/dharma.v6i2.4511

Abstract

PPK Ormawa 2023, HIMASTA, Jurusan Statistika, Institut Sains & Teknologi AKPRIND Yogyakarta dilaksanakan di Dusun Tanjungsari, Desa Sukoharjo, Kecamatan Ngaglik, Sleman. Lokasi Dusun Tanjungsari memiliki banyak potensi hasil panen umbi gadung dan cabai. Namun demikian, umbi gadung hanya dijual dalam bentuk mentah dan varian rasanya hanya original. Sedangkan, untuk hasil pertanian cabai langsung dijual dipasaran serta digunakan sebagai bumbu dapur saja. Dengan pengembangan produk keripik gadung dibuat berbagai varian rasa serta cabai dibuat sambal akan menambah pemasukan ekonomi keluarga. Program dilakukan selama bulan Juli-Oktober 2023. Program PPK Ormawa HIMASTA 2023 yang dilakukan adalah dengan memberikan pelatihan produksi dan varian rasa dengan mitra yaitu 2 kelompok warga dusun Tanjungsari. Program selanjutnya adalah praktik produksi hingga pemasaran. Hasil pelatihan ini mitra mampu mengolah umbi gadung dan cabai, dengan hasil keripik gadung mentah sebanyak 200 gram setiap 1 kg umbi gadung. Sedangkan untuk hasil 2.500 gram cabai menghasilkan 3.750 ml sambal. Hal tersebut membuktikan bahwa mitra mampu mengembangkan produk bernilai jual tinggi untuk meningkatkan perekonomian keluarga.
Application of Geographically Weighted Regression Method on the Human Development Index of Central Java Province Hasibuan, Devi Octaviani; Pau Teku, Heribertin; Drostela Putri, Maria Fatima; Setyawan, Yudi; Dwi Bekti, Rokhana
Enthusiastic : International Journal of Applied Statistics and Data Science Volume 3 Issue 2, October 2023
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/enthusiastic.vol3.iss2.art6

Abstract

Spatial data are data containing information on the location or geography of a region on the representation of objects on earth. Geographically Weighted Regression (GWR) is a development of the Ordinary Least Square (OLS) theory into a weighted regression model that considers spatial effects, resulting in a parameter estimation that can only be used to predict each location where the data are observed.  The Human Development Index (HDI) is an essential indicator for measuring success in efforts to build human quality of life. HDI data regencies/cities in Central Java are interconnected, so it is said to be spatial data and there are spatial effects in it. Therefore, the GWR method was applied to obtain faculties affecting HDI in Central Java Province. The data used were secondary data in 2020.  The determination coefficients of the GWR model ranged between 76.09% and 87.16%. If the variable values of population density and Gross Regional Domestic Product (GRDP) increase by one unit in each district/city in Central Java Province, the HDI variable value increases. These results were visualized on a dashboard providing information about the characteristics of HDI and independent variables, GWR parameter estimates, and the significance of independent variables in each regency/city.
Co-Authors Dwi Bekti, Rokhana Hasibuan, Devi Octaviani Nipu, Marsailes Pau Teku, Heribertin Pekujawang, Anastasya R. A. Setyawan, Yudi Widarti, Sinta