Moch. Bagoes Pakarti, Moch. Bagoes
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PENGEMBANGAN APLIKASI PENGOLAHAN DATA BARANG BUKTI DI POLRES BOYOLALI BERBASIS WEB Pakarti, Moch. Bagoes; Budyastomo, Avin Wimar; Al Haris, Firdhaus Hari Saputro
Gaung Informatika Vol 1, No 1 (2014): Gaung Informatika Vol.1 Th.2014
Publisher : Gaung Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (552.819 KB)

Abstract

Sat  Tahti (Force of Detainees and Evidence) at Polres Boyolali which has the task to manage the evidence in this case a vehicle, provide information about the vehicle seized and prepare for the service to society. Sat Tahti has provided a media that can provide information to the public but tht application is difficult to operate and there is no provided media of communication between the user. So it is  necessary  to  develop  the  ease  of  operation  and  the  addition  of  the communication media between the community and police.The  methods  used  for  data  collection  is  observation,  interview,  and literature.  Analysis  of  the  data  used  is  DAD  (Data  Flow  Diagram).  The Development method is waterfall. Assessment is the method of five view.Final  results  can  be  explained  as  follows:  (1)  Simplify  Sat  Tahti  manage data evidence the vehicle. (2) Provide ease of data retrieval based on the vehicle license  plate  number  of  the  vehicle.  (3)  With  the  development  of  these applications can improve the communication between the community and police through the medium of communication provided.
Klasterisasi Data Untuk Sistem Rekomendasi Pemilihan Sekolah Dasar Di Wilayah Surakarta Degan Metode Hierarchy Clustering Rokhmah, Siti; Pakarti, Moch. Bagoes
Jurnal Ilmiah SINUS Vol 22, No 1 (2024): Volume 22 No. 1, Januari 2024
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v22i1.778

Abstract

The role of parents is very important in determining the school for their children, especially at elementary school level. There are many factors that parents consider when choosing an elementary school, including school quality, distance to school, school fees, content of religious education, school performance and school facilities. The aim of this research is to develop a data clustering concept using Hierarchy Clustering method for an elementary school recommendation system in the city of Surakarta, so that it can help parents in determining the elementary school for their children. In this study, agglomerative clustering with Ward linkage was used, this is because among other linkage methods (Single linkage, ward linkage, flexible linkage and complete linkage), Ward linkage has the highest Silhouette index value, namely 0.666. Cluster optimization in this research was determined by looking at the Silhouette index graph by comparing the Silhouette cluster values 1 to 10 for each linkage method, and obtained the cluster optimization value was 4, so the number of groupings used was 4 clusters. The accuracy of the recommendation system is tested using the Mean Average Error (MAE) statistical calculation, with an MAE value of 0.2, which means the recommendation system is suitable for use.