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All Journal IJISTECH (International Journal Of Information System & Technology) Journal of Computer System and Informatics (JoSYC) IJISTECH
S Solikhun
AMIK Tunas Bangsa
Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Social Sciences

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Comparison of Euclidean with Manhattan in K-Means Clustering for Grouping Palm Oil Production in the Province North Sumatra S Solikhun; Lise Pujiastuti
IJISTECH (International Journal of Information System and Technology) Vol 5, No 6 (2022): April
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v5i6.197

Abstract

North Sumatra is the largest palm oil-producing province in Indonesia. The region of North Sumatra has an extensive area of oil palm plantations compared to other provinces in Indonesia. To produce a good clustering of oil palm production using the K-Means Clustering method, it is necessary to compare several calculation methods to find the shortest distance in K-Means Clustering. This study focuses on comparing Euclidean Distance with Manhattan Distance on K-Means Clustering. To determine the best method of calculating the shortest distance, the researchers looked for the smallest Davies Bouldin Index (DBI). The smallest DBI value is at k=2 0.145. The result of grouping oil palm production in Sumatra province with k=2 is the high group being Asahan, Langkat and North Labuhanbatu regencies, while 30 other regencies/cities are in the low group
Penerapan Algoritma AES 128-Bit dalam Pengamanan Data Kependudukan pada Dinas Dukcapil Kota Pematangsiantar Imelda Asih Rohani Simbolon; Indra Gunawan; Ika Okta Kirana; Rafiqa Dewi; S Solikhun
Journal of Computer System and Informatics (JoSYC) Vol 1 No 2 (2020): Journal of Computer System and Informatics (JoSYC) - Februari 2020
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (629.64 KB)

Abstract

Population data is information about the existence of someone in a country. The data can be accepted as validity through management in one of the government agencies. The issue of security and confidentiality of the data is something that is very important because it concerns the identity of a person, in order to avoid theft and manipulation of data it is necessary to apply a data security system. Cryptography is the study of mathematical techniques related to aspects of data and information security such as data validity, integrity, and data authentication. The Advanced Encryption Standard (AES) is one method used in data / information safeguards. The implementation of the AES algorithm in securing population data of the Population and Civil Registration Service shows that the method can produce messages that cannot be read or understood by humans (encryption) and produce the same message as the initial plaintext that was imputed (decryption)
Comparison of Euclidean with Manhattan in K-Means Clustering for Grouping Palm Oil Production in the Province North Sumatra S Solikhun; Lise Pujiastuti
IJISTECH (International Journal of Information System and Technology) Vol 5, No 6 (2022): April
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (690.679 KB) | DOI: 10.30645/ijistech.v5i6.197

Abstract

North Sumatra is the largest palm oil-producing province in Indonesia. The region of North Sumatra has an extensive area of oil palm plantations compared to other provinces in Indonesia. To produce a good clustering of oil palm production using the K-Means Clustering method, it is necessary to compare several calculation methods to find the shortest distance in K-Means Clustering. This study focuses on comparing Euclidean Distance with Manhattan Distance on K-Means Clustering. To determine the best method of calculating the shortest distance, the researchers looked for the smallest Davies Bouldin Index (DBI). The smallest DBI value is at k=2 0.145. The result of grouping oil palm production in Sumatra province with k=2 is the high group being Asahan, Langkat and North Labuhanbatu regencies, while 30 other regencies/cities are in the low group
Co-Authors Dewi, Rafiqa Ika Okta Kirana Imelda Asih Rohani Simbolon Indra Gunawan Lise Pujiastuti