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All Journal Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara) Wawasan : Jurnal Ilmu Manajemen, Ekonomi dan Kewirausahaan
Fajar Pamungkas
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Computer Science & IT Decision Sciences, Operations Research & Management

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Rekomendasi Wisata Umbul dengan K-Means Clustering Fajar Pamungkas; Didik Nugroho; Yustina Retno Wahyu Utami
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 8, No 2 (2020): Jurnal TIKomSiN, Vol.8, No. 2, 2020
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v8i2.478

Abstract

District Klaten has many springs that are used by people for many things; one of them used for tourist attractions is umbul tourism. It is difficult to use K-Means Clustering Method for determine umbul tourism according to classification and spread in district Klaten. K-Means Clustering is a method of grouping data by taking parameters of a number clusters, and partitioning data into clusters, based on similarities between data in one cluster and dissimilarities between different clusters, the center of the cluster is the average of the cluster member values it called as centroid. The results of this study are grouping the umbul truism which are divided into three clusters namely Enough, Good and The Best. The result of the data, there are 4 umbul tourisms in the first cluster is Beautiful category, namely Tirtomoyo, Buto, Pancuran, and Besuki. In the third cluster of umbul tourism has good category, namely Tirto Mulyani umbul, Gedaren, Sumber Nila, Manten, Sigedang, and Kajen. In the best category in the second cluster has 8 umbul tourisms, namely Nila umbul, Tirto Mulyono, Ingas, Lumban Tirto, Ponggok, Tirto Raharjo, Jolotundo, and Tirtomulyono.Keywords: K-Means Clustering, Umbul, Umbul Category, Tourist Destination
Analisis Faktor – Faktor Yang Mempengaruhi Tingkat Kemiskinan Kabupaten Jember Fajar Pamungkas; Marseto Marseto; Sishadiyati Sishadiyati
Wawasan : Jurnal Ilmu Manajemen, Ekonomi dan Kewirausahaan Vol. 2 No. 1 (2024): Januari : Jurnal Ilmu Manajemen, Ekonomi dan Kewirausahaan
Publisher : Fakultas Teknik Universitas Maritim AMNI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58192/wawasan.v2i1.1533

Abstract

Poverty is a multidimensional and multisector problem that concerns human dignity. Therefore, poverty alleviation efforts must be implemented in a comprehensive and integrated manner. This research was conducted to find out the influence of Gross Regional Domestic Product (GRDP), regional spending and education on the poverty level of Jember Regency in 2011 to 2020, both partially and simultaneously. The data used by researchers is secondary data obtained from the Jember Regency Central Statistics Agency (BPS) website and the Directorate General of Financial Balance (DJPK) of the Ministry of Finance of the Republic of Indonesia. This quantitative research method uses multiple linear regression analysis with the Ordinary Least Square (OLS) model and is assisted by the SPSS application. The research results show that GRDP and education partially have no effect on the poverty level of Jember Regency, while regional spending has a negative and significant effect on the poverty level of Jember Regency. However, simultaneously, all independent variables have a significant effect on the poverty level of Jember Regency.
Co-Authors Didik Nugroho Marseto Marseto Sishadiyati Yustina Retno Wahyu Utami