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Klasifikasi dan Klasterisasi Kemiskinan di Kabupaten Sabu Raijua Provinsi Nusa Tenggara Timur Menggunakan Machine Learning Deddy Barnabas Lasfeto
Jurnal Inovasi Kebijakan Vol 7 No 1 (2022): Jurnal Inovasi Kebijakan
Publisher : Badan Penelitian dan Pengembangan Daerah Kota Kupang

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Abstract

The scope of this paper is focused on the socio-economy poverty problem in rural area. Household expenditure and income surveys provide data that are used for identifying and measuring the poverty status of households. The contribution of this work is the machine learning approach to assess and monitor the poverty status of households in the rural area of Indonesia. This approach takes into account all the household expenditure and income surveys that took place. This approach is accurate, inexpensive, and makes poverty identification cheaper and much closer to real-time. Data preprocessing and handling imbalanced data are major parts of this work. machine learning classification and clustering models are applied. The final machine learning classification and clustering model could transform efforts to track and target poverty. This work demonstrates how powerful and versatile machine learning can be, and hence, it promotes for adoption across many domains in both the private sector and government.
Analisis Perilaku Wisawatan Terhadap Lingkungan di Lokasi Wisata dalam Wilayah Kota Kupang Berbasis Theory of Planned Behavior Deddy Barnabas Lasfeto; Yohan A. A. Lada; Tuti Setyorini
Jurnal Inovasi Kebijakan Vol 7 No 1 (2022): Jurnal Inovasi Kebijakan
Publisher : Badan Penelitian dan Pengembangan Daerah Kota Kupang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study discusses the impact of external factors at tourist sites on tourist environmental behaviour. The tourists in this study were students in Kupang City. The multiple-group analysis function was used to make comparisons of the education levels of student tourists at tourist spots to test the moderating effect of education levels. Through analysis of survey data collected from tourists at several tourist sites in the city of Kupang, it is recommended to encourage the formation of good communities in supporting environmentally responsible behaviour in tourist attractions. This finding also confirms that education level moderates the relationship between tourist intentions and actual environmentally responsible behaviour.