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PELATIHAN MEDIA PEMBELAJARAN INTERAKTIF MATEMATIKA BERBASIS ANDROID BAGI GURU DAN SISWA SD ADVENT ABEPURA PAPUA Wororomi, Jonathan K.; Tandiangnga, Tiku; Sampebua, Mingsep Rante
JURNAL PENGABDIAN PAPUA Vol 8 No 2 (2024)
Publisher : LPPM Uncen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31957/jpp.v8i2.3597

Abstract

Children The problem with the learning system at Abepura Adventist Elementary School is that students feel bored with the teacher-centered learning process and they are not active and interested in learning mathematics. The aim of the Uncen PNBP service in 2023 is training in Android-based interactive mathematics learning media for teachers and students at Abepura Adventist Elementary School which can support the teaching and learning process. The methods of service activities are lectures, discussions, questions and answers, demonstrations and practice in using Android math applications. The results achieved from the Uncen PNBP service are that teachers and students can use the Android math application as an interactive learning medium that can increase knowledge, skills and innovation in information and communication technology-based learning models.
Performance of K-Means and DBSCAN Algorithm in Clustering Gross Regional Domestic Product Wororomi, Jonathan K.; Allo, Caecilia Bintang Girik; Paranoan, Nicea Roona; Gusthvi, Wickly
Journal of International Conference Proceedings Vol 6, No 5 (2023): 2023 UICEB Papua Proceeding
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jicp.v6i5.2710

Abstract

Gross Regional Domestic Product (GRDP) is one of important indicator to determine the economic conditions of a region. GRDP are obtained from sum of value added produced by all unit of production in a region. This study use GRDP by production approach that grouped into seventeen categories of Industry. The government always put the big efforts to increase the economic growth after Covid-19 pandemic. According publication of BPS - Statistics Indonesian, in the year of 2021 and 2022 it’s growth between 3.70% and 5.31%. The aim of these study are determined the cluster GDRB based on province in Indonesia at current prices and analyses the performance of the cluster method. The results showed that by using the DBSCAN, two clusters were formed and one province can be detected as an outlier. On the other hands, performance of the method by K-Means showed two clusters. The silhouette value using K-Means is higher than the DBSCAN. For these case, the performance of K-Means is more appropriate than DBSCAN to use in clustering province in Indonesia based on GRDP at Current Market Prices. Moreover, performance of DBSCAN shows more sensitive on outliers detection.