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All Journal KOMPUTIKA - Jurnal Sistem Komputer Prosiding Seminar Nasional Official Statistics
Izzuddin, Kautsar Hilmi
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Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Social Sciences

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Pemodelan Clustering Ward, K-Means, Diana, dan PAM dengan PCA untuk Karakterisasi Kemiskinan Indonesia Tahun 2021 Izzuddin, Kautsar Hilmi; Wijayanto, Arie Wahyu
Komputika : Jurnal Sistem Komputer Vol. 13 No. 1 (2024): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputika.v13i1.10803

Abstract

Poverty is a serious and quite complex problem. Poverty is influenced across sectors from various factors. Poverty grouping can be done for planning and evaluating poverty programs. Cluster analysis using the ward, k-means, diana, and PAM methods can be used to group provinces in Indonesia based on six poverty indicators, namely the percentage of poor people (P0), poverty depth index (P1), poverty severity index (P2), Open Unemployment Rate (TPT), Literacy Rate (AMH), and Average Years of Schooling (RLS). Based on the evaluation of the model, the best cluster model was obtained using the ward approach with Principal Component Analysis (PCA) analysis. PCA is proven to be able to maximize the performance of clustering models. The cluster ward model forms five optimal clusters with provinces with very low to very high poverty rates.
Total Factor Productivity Growth (TFPG) dan Determinan Produksi Tebu Indonesia Diarty, Milie; Haryanto, Jasmine ‘Abqoriyah; Izzuddin, Kautsar Hilmi; Manganti, Marella Dea; Rahman, Muhamad Reza; Budiasih, Budiasih
Seminar Nasional Official Statistics Vol 2023 No 1 (2023): Seminar Nasional Official Statistics 2023
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2023i1.1747

Abstract

The increase in Indonesia's sugar imports was due to production originating from within the country but unable to meet various needs for the domestic region. This shortage of sugar production is of course in line with the production of sugar cane which is the main ingredient and there are eight sugarcane producing centers in the province. Sugarcane production is closely related to the influence of production factors and production technology (TFP). This study aims to analyze the various influences on sugarcane production from land area and labor in eight sugarcane-producing provinces and to analyze the determinants of TFP growth (TFPG) using panel data regression. Where the results were obtained showing that the sugarcane planting area had a significant positive effect and labor had a negative but not significant effect. Foreign investment in agriculture and plantations and Farmers' Exchange Rates of plantation crops have a negative but not significant effect on the TFPG.
Co-Authors Arie Wahyu Wijayanto Budiasih Budiasih Diarty, Milie Haryanto, Jasmine ‘Abqoriyah Manganti, Marella Dea Rahman, Muhamad Reza