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All Journal Journal of Vision and Ideas (VISA) Sci-Tech Journal
Rusmin Saragih
STMIK Kaputama Binjai Sumatera Utara
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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Data Mining Pengelompokan Akta Nikah Berdasarkan Usia Nikah Atau Domisili Menggunakan Metode Clustering: Nurlaila Nurlaila; Relita Buaton; Rusmin Saragih
VISA: Journal of Vision and Ideas Vol 3 No 1 (2023): VISA: Journal of Vision and Ideas
Publisher : LPPM IAI Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1097.138 KB) | DOI: 10.47467/visa.v3i1.1545

Abstract

One way to find out the marriage certificate data is to group the prospective bride and groom data that has been recorded at the Langkat Ministry of Religion. The analysis was carried out using the Clustering method using the K-Means method which was translated into a software. This software is used for grouping data. The output is to find out the grouping of marriage certificate data with the closest relationship between the age group of the groom, occupation and address. The results showed that the age of the groom-to-be between 19-28 years old had a civil servant job at the address/district of Kutambaru. Keywords: age, occupation, address/location and clustering
Data Mining Pengelompokan Akta Nikah Berdasarkan Usia Nikah atau Domisili Menggunakan Metode Clustering: Studi Kasus  Kemenag Langkat Nurlaila Nurlaila; Relita Buaton; Rusmin Saragih
Sci-tech Journal Vol. 2 No. 1 (2023): Sci-tech Journal (STJ)
Publisher : MES Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (921.437 KB) | DOI: 10.56709/stj.v2i1.62

Abstract

One way to find out the marriage certificate data is to group the prospective bride and groom data that has been recorded at the Langkat Ministry of Religion. The analysis was carried out using the Clustering method using the K-Means method which was translated into a software. This software is used for grouping data. The output is to find out the grouping of marriage certificate data with the closest relationship between the age group of the groom, occupation and address. The results showed that the age of the groom-to-be between 19-28 years old had a civil servant job at the address/district of Kutambaru. Keywords: age, occupation, address/location and clustering
Co-Authors Buaton, Relita Nurlaila Nurlaila Nurlaila Nurlaila