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All Journal CAUCHY: Jurnal Matematika Murni dan Aplikasi BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Pengabdian Papua Journal of International Conference Proceedings
Jonathan k. Wororomi
Universitas Cenderawasih
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Medicine & Pharmacology Physics Transportation Other

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PENERAPAN MONITORING KEAMANAN GEDUNG GEREJA GKI JEMAAT LEMBAH YORDAN BERBASIS ANDROID Mingsep Rante Sampebua; Jonathan k. Wororomi
JURNAL PENGABDIAN PAPUA Vol 7 No 2 (2023)
Publisher : LPPM Uncen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31957/jpp.v7i2.2686

Abstract

One of the problems at GKI Lembah Jordan Congregation is monitoring the security of the church building's environment which is often visited by irresponsible people. This is done to avoid various crimes such as destroying church facilities, scribbling on church walls, stealing church assets, and so on. The purpose of this service activity is to provide training to the multimedia team and church guards at the GKI Lembah Jordan congregation, so they can understand how to use environmental security monitoring of church buildings with Android-based Smart Home Camera C6N technology devices. The result of the service activity is that the multimedia team and church guards can monitor the security of the church building environment in real time from a distance using a smartphone.Keywords: Android; Camera C6N; Congregation; Security; Lembah Yordan; Monitoring
PELATIHAN DIGITAL MARKETING BAGI PAM JEMAAT I.S KIJNE ABEPURA, JAYAPURA Jonathan K. Wororomi; Remuz M.B. Kmurawak; Mingsep Rante Sampebua
JURNAL PENGABDIAN PAPUA Vol 7 No 2 (2023)
Publisher : LPPM Uncen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31957/jpp.v7i2.2692

Abstract

The problem with the Youth Fellowship at GKI I.S Kijne Abepura congregation is that they do not have the skills and abilities to use information technology for digital marketing. The purpose of the Uncen PNBP service in 2022 is to transfer science and technology for PAM at GKI Congregation I.S Kijne Abepura so that they can increase innovation, skills and abilities in conducting digital marketing. Community service activities are carried out using lecture, discussion, question and answer methods, practice, and evaluation. The stages of implementation include planning, conducting training, evaluating activities, and reporting. The results achieved from the Uncen PNBP dedication are that young people in the GKI Congregation I.S Kijne Abepura have knowledge, skills, and can sell online on the online business platform tokopedia.com. Keywords: PAM; GKI I.S Kijne; Tokopedia; Digital Marketing; Training 
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.
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.
Clustering and Mixture Model Analysis of Human Development Index in Papua: A Study Based on Educational Data (2010–2023) Sroyer, Alvian; Morin, Henderina; Reba, Felix; Wororomi, Jonathan; Languwuyo, Agustinus
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 10, No 2 (2025): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v10i2.32988

Abstract

The purpose of this research is to analyze the distribution of the Human Development Index (HDI) in Papua based on the average length of schooling during the period 2010–2023 using the Gaussian Mixture Model (GMM) approach. Data from 27 districts are grouped into three clusters based on the distribution characteristics of each region. Weibull, Nakagami, and Generalized Extreme Value (GEV) distributions were selected to represent Cluster 1, Cluster 2, and Cluster 3, with parameter estimation using Maximum Likelihood Estimation (MLE). The results of the analysis show that Cluster 1 includes areas with low HDI such as Mamberamo Raya and Yahukimo, Cluster 2 reflects moderate HDI in areas such as Nduga and Tolikara, while Cluster 3 describes high HDI in districts such as Jayapura and Mimika. The mixture model that combines these three distributions provides an accurate representation of the HDI distribution pattern in Papua. Policy implications from these results include the development of cluster-based education programs to improve access to education in areas with low HDI, reduce educational disparities in areas with moderate HDI, and maintain sustainable development in areas with high HDI. This approach can be a reference for similar analyses in other regions with high development heterogeneity characteristics
DISTRIBUTION MODEL OF HUMAN DEVELOPMENT INDEX IN PAPUA PROVINCE BASED ON REGIONAL CLUSTERING Wororomi, Jonathan K.; Sroyer, Alvian M.; Morin, Henderina; Reba, Felix; Beno, Ishak S.; Wambrauw, Oscar O. O.
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 4 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss4pp2693-2708

Abstract

Modeling the distribution of Human Development Index (HDI) components is essential to uncover underlying disparities and guide targeted policy interventions. This study aims to analyze HDI data, focusing on the average length of schooling across 26 districts in Papua Province from 2010 to 2023, to identify the most suitable probability distribution model. Using the k-means clustering method, two main groups were identified based on the average length of schooling. Cluster 1 includes 11 districts with a Weibull distribution, characterized by a scale parameter of 8.9931 and a shape parameter of 16.1272, indicating significant variation in education duration. Cluster 2 consists of 15 districts with a scale parameter of 3.73006 and a shape parameter of 8.07662, showing a distribution with a long tail and greater variability. This study provides insights into the distribution patterns of education duration in Papua, which could aid policymakers in making more targeted decisions and allocating resources efficiently. The findings also highlight regional disparities and the need for specific educational interventions. These results are valuable for government entities, NGOs, researchers, and international donors interested in improving educational outcomes in underdeveloped areas. However, the analysis is limited by the scope of available data and the assumption of homogeneity within clusters.
Co-Authors Allo, Caecilia Bintang Girik Alvian M Sroyer Caecilia Bintang Girik Allo Felix Reba Gusthvi, Wickly Henderina Morin, Henderina Ishak Semuel Beno Languwuyo, Agustinus Mingsep Rante Sampebua Paranoan, Nicea Roona Reba, Felix Remuz MB Kmurawak Tiku Tandiangnga Wambrauw, Oscar O. O.