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All Journal Statistika Jurnal Sains Dasar CAUCHY: Jurnal Matematika Murni dan Aplikasi Kubik Jurnas Nasional Teknologi dan Sistem Informasi Journal of Information Systems Engineering and Business Intelligence BAREKENG: Jurnal Ilmu Matematika dan Terapan Journal of Honai Math Jurnal Cendekia : Jurnal Pendidikan Matematika Sainmatika: Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam JURNAL CEMERLANG: Pengabdian pada Masyarakat JPKMI (Jurnal Pengabdian Kepada Masyarakat Indonesia) Journal of Science and Science Education Jurnal Pengabdian Papua
Felix Reba
Universitas Cenderawasih, Papua
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

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PERAN SERTA MASYARAKAT DALAM MENGHADAPI KEMAJUAN TEKNOLOGI INFORMASI (ERA DIGITALISASI) Habel Saud; Mikhael Udam; Yansen Alberth Reba; Felix Reba; Ahmad Sofyan
JURNAL CEMERLANG : Pengabdian pada Masyarakat Vol 5 No 2 (2023): JURNAL CEMERLANG: Pengabdian Pada Masyarakat
Publisher : LP4MK STKIP PGRI Lubuklinggau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31540/jpm.v5i2.2237

Abstract

The current community service seminar aimed to increase public insight regarding the use of information technology as a medium that expedites and facilitates educational, health, economic, business, socio-cultural and political activities. This activity for community service used lecture, discussion or question and answer methods. Then, the method for the problem-solving framework consisted of: 1) the preparation stage, 2) the discussion stage for community service material, and 3) the evaluation stage, as well as seminars related to community participation in dealing with advances in information in the digitalization era. This seminar activity involved elements of the local government which included the Kemtuk Gresi District/Sub-District Head, village heads in the Kemtuk Gresi District, the Kemtuk Gresi Customary Council and youth elements (KNPI of Kemtuk Gresi District) of Jayapura Regency, especially the millennial generation, community elements such as religious leaders , educational leaders, and traditional leaders. Based on the research results, 34 community members (97.14%) stated that science and technology (S&T) is beneficial in the globalization era for people's lives, but 1 community member stated that science and technology (S&T) does not necessarily bring benefits to life. Thus, it was concluded that most members of the community who attended the community service seminar on community participation in dealing with advances in information technology (digitalization era) understand and comprehend the positive and negative influences of science and technology for life and young people in the era of globalization. Meanwhile, a small number of people make use of science and technology in their daily lives both to support student learning activities, social activities and facilitate economics and business.
Penerapan Alat Tangkap Ramah Lingkungan (Bubu Lipat) Bagi Nelayan Lokal di Kampung Enggros Teluk Youtefa Kota Jayapura, Papua Efray Wanimbo; Kalvin Paiki; Korinus Rejauw; Felix Reba; Poppy I L Ayer
JPKMI (Jurnal Pengabdian Kepada Masyarakat Indonesia) Vol 4, No 3: Agustus (2023)
Publisher : ICSE (Institute of Computer Science and Engineering)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jpkmi.v4i3.685

Abstract

Abstrak: Teluk Youtefa sebagai Kawasan Konservasi tidak hanya mendapat tekanan masukkan bahan pencemar dari daratan, tetapi juga aktivitas penangkapan nelayan local yang bermukim di sekitar wilayah tersebut. Penggunaan alat tangkap yang kurang efektif cenderung berdampak negative terhadap biota maupun habitatnya. Berdasarkan kondisi tersebut, maka perlu langkah solutif guna mempertahankan Teluk Youtefa sebagai Kawasan Konservasi, namun tetap mempertimbangkan keberlangsungan kehidupan nelayan local di kawasan tersebut dengan cara mengembangkan jenis alat tangkap yang ramah lingkungan. Kegiatan pendampingan terdiri dari tahapan penyuluhan, diskusi, pembuatan bubu lipat sebagai alat tangkap ramah lingkungan dan analisis tingkat kepuasan kelompok mitra terhadap kegiatan tersebut. Hasil diskusi dua arah, menunjukkan kelompok mitra proaktif menyampaikan saran, pendapat dan identifikasi jenis alat tangkap yang digunakan serta bagaimana solusi mengatasi permasalahan yang dihadapi. Langkah solutif dalam mengurangi alat tangkap yang cenderung merusak ditindaklanjut dengan pengembangan jenis bubu lipat rajungan. Kegiatan pendampingan, diikuti secara seksama oleh peserta mitra sebagai pelaku utama dalam kegiatan tersebut, memahami dengan baik cara desain dan pemasangan bubu lipat dari tahap awal hingga akhir. Tingkat pemahaman dan kepuasan peserta mitra diketahui melalui analisis kusioner yang mencakup 4 komponen yakni Pengetahuan Umum (penggalian informasi), Materi Pengabdian, Tingkat Kepuasan dan Harapan Peserta. Komponen pertama, 30% peserta pernah mendengar atau mengetahui informasi tentang bubu lipat dan 70% belum mengetahui. Cara pengoperasian 7.67% pernah mengoperasikan dan 92.3% belum pernah mengoperasikan. Cara desain dan pembuatan 100% belum pernah. Komponen kedua, peserta mitra tertarik dan sangat paham serta memperoleh pengetahuan baru dengan nilai presentase 100%.  Komponen ketiga 100% menyatakan memperoleh pengetahuan dan pengalaman baru serta sangat puas dengan adanya kegiatan tersebut. Komponen keempat 100% kelompok mitra mengharapkan kegiatan-kegiatan pelatihan terus dilakukan guna meningkatkan kreatifitas para nelayan dalam mengembangkan model alat tangkap ramah lingkungan di Kampung Enggros.Abstract: Youtefa Bay as a Conservation Area is not only under pressure to include pollutant materials from the mainland, but also the fishing activities of local fishermen who live around the area. The use of less effective fishing gear tends to have a negative impact on biota and their habitat. Based on these conditions, a solution is needed to maintain Youtefa Bay as a Conservation Area, while still considering the sustainability of the lives of local fishermen in the area by developing environmentally friendly types of fishing gear. The training activities consist of stages of coaching, discussion, making folding traps as an environmentally friendly fishing gear and analysis of the level of satisfaction of the partner groups for these activities. The results of the two-way discussion showed that the partner groups were proactive in conveying suggestions, opinions and assistance with the types of fishing gear used and how solutions to overcome the problems encountered. Solutive steps in reducing fishing gear that tend to damage are followed up by developing a type of folding crab trap. The training activities, followed closely by the partner participants as the main actors in the activity, understand very well how to design and install folding bins from the start to the end. The level of understanding and satisfaction of partner participants is known through questionnaire analysis which includes 4 components namely General Knowledge (information gathering), Service Material, Participant Satisfaction Level and Expectations. The first component, 30% of participants had heard or knew information about folding pots and 70% did not know. How to operate 7.67% have ever operated and 92.3% have never operated. How to design and manufacture 100% never before. The second component, partner participants are interested and really understand and acquire new knowledge with a percentage value of 100%. The third component 100% stated that they gained new knowledge and experience and were very satisfied with the activity. The fourth component, namely the expectations of the partner group with a percentage of 100%, hopes that training activities will continue to be carried out in order to increase the creativity of fishermen in developing models of environmentally friendly fishing gear in Enggros Village.
The Ethnomathematics of Symmetric War-boat of Biak Tribe Sroyer, Alvian M.; Nainggolan, Jonner; Beno, Ishak S.; Reba, Felix
Journal of Honai Math Vol. 8 No. 2 (2025): Journal of Honai Math
Publisher : Universitas Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30862/jhm.v8i2.872

Abstract

The Wairon is a traditional warboat of the Biak tribe, characterized by its unique symmetrical structure tailored for combat navigation. This research explores the mathematical principles embedded in its construction from an ethnomathematical perspective, addressing the gap in literature on how indigenous maritime engineering reflects advanced spatial reasoning. The study aims to document and analyze the symmetrical design elements of the Wairon to uncover how Biak boatbuilders apply geometric and anthropometric logic in practice. Using an exploratory qualitative method with triangulation, data were gathered through 12 in-depth interviews with cultural experts and elder artisans, direct observations of three traditional boat-building sessions, and literature analysis of maritime knowledge. Triangulation was applied by comparing themes that emerged independently across these three data sources. The collected qualitative data were analyzed using a thematic coding framework with multiple coding cycles, focusing on patterns of symmetry, measurement techniques, and structural logic. Codes were reviewed through peer validation and saturation was reached after the third data source. Symmetry in this study is operationally defined as bilateral congruence across a central longitudinal axis, as observed in the mirrored placement of najun (crossbeams), outriggers, pegs, and bow carvings. Evidence was gathered through measurements of spatial repetition, alignment consistency, and anthropometric mapping (e.g., arm span and fathom units) used by artisans during construction. Key findings highlight that the Wairon's design reflects a high degree of symmetry not only for aesthetic or symbolic purposes but also for tactical advantages in battle, allowing seamless directional shifts. The theoretical implications contribute to the expansion of ethnomathematics by contextualizing symmetry as both a cultural logic and a navigational solution, while practically, these insights provide a model for integrating indigenous design principles into STEM education and support initiatives for digital heritage preservation and virtual reconstruction of traditional technologies
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.
Clustering and Mixture Modeling of Schooling Expectancy Trends in Papua Province: A Spatial Analysis Using the Mapping Toolbox Wororomi, Jonathan; Reba, Felix; Asmuruf, Frans
Journal of Information Systems Engineering and Business Intelligence Vol. 11 No. 3 (2025): October
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jisebi.11.3.459-472

Abstract

Background: Persistent educational inequality in Papua Province, particularly in remote highland districts, is driven by limited infrastructure and accessibility. Although Schooling Expectancy (Harapan Lama Sekolah, HLS) is widely recognized as a forward-looking educational metric, existing studies rarely incorporate probabilistic modeling with spatial analysis to examine regional disparities. ObjectiveThis study aimed to identify spatial and statistical patterns of schooling expectancy across 29 districts in Papua from 2010 to 2023 by combining probabilistic clustering with spatial visualization methods. Methods: The analysis applied Gaussian Mixture Model (GMM) clustering, which was validated using the Silhouette Index and Davies–Bouldin Index (DBI), to group districts based on HLS trends. Fourteen candidate probability distributions were evaluated using Kolmogorov–Smirnov and Anderson–Darling tests. In addition, five model selection criteria (AIC, BIC, AICc, CAIC, HQC) were applied to refine the fit. Cluster-wise mixture model was constructed, and spatial interpretation was improved through MATLAB’s Mapping Toolbox as well as wind rose diagrams. Results: During the process of the analysis, four statistically distinct clusters were identified. Cluster 3 (coastal districts) showed the highest and most stable HLS (12.1–14.0 years), while Cluster 4 (remote highlands) signified the lowest (2.4–5.6 years) with high dispersion. Right-skewed distributions (e.g., Weibull, Gamma) modeled high-performing districts, and heavy-tailed, left-skewed ones (e.g., Stable, Inverse Gaussian) modeled marginalized regions. Spatial visualization confirmed a clear coastal–highland divide in educational attainment. Conclusion: The proposed incorporation of probabilistic modeling and spatial clustering offered a robust analytical tool for capturing intra-regional educational disparities. This framework provided empirical evidence to support geographically differentiated policy interventions in Papua and could be adapted to similar underserved regions in future studies. Keywords: Schooling Expectancy, Gaussian Mixture Model, Probabilistic Modeling, Silhouette Index, Davies–Bouldin Index, Spatial Clustering, Education Inequality, Papua Province.
PARAMETER ESTIMATION AND ANALYSIS OF AVERAGE YEARS OF SCHOOLING IN MERAUKE DISTRICT WITH BIRNBAUM-SAUNDERS DISTRIBUTION APPROACH Langowuyo, Agustinus; Yokhu, Sara; Reba, Felix
KUBIK Vol 10 No 1 (2025): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Department of Mathematics, Faculty of Science and Technology, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v10i1.42992

Abstract

Average years of schooling is an important indicator in assessing the success of education development in a region. This study aims to analyze data on average years of schooling in Merauke Regency, Papua Province, using the Birnbaum-Saunders (BS) Distribution approach. This distribution was chosen because of its ability to model data that has asymmetric characteristics and low variability. The parameters resulting from the analysis include a scale parameter (β) of 8.35, which reflects the average years of schooling of the population, and a shape parameter (α) of 0.0545, which indicates the low degree of dispersion of the data around the mean. The results of the analysis show that the average length of schooling in Kabupaten Merauke is at the junior high school (SMP) level, with a homogeneous data distribution. This homogeneity reflects good equity in access to education, but also indicates the potential for stagnation at certain levels of education. The Birnbaum-Saunders distribution proved to be effective in modeling education data in this region, providing a more accurate picture than traditional approaches. This research makes an important contribution in understanding the distribution pattern of average years of schooling in Merauke district. The results can be used as a basis for designing more targeted policies in improving the quality and access to education, especially at the senior secondary level. In addition, this approach can serve as a reference for analyzing education in other regions with similar geographical and socio-economic challenges
Clustering for Mapping Food Insecurity in the Land of Papua: A Five-Year Multiyear Analysis with Spatial Interpretation (2020-2024) Beno, Ishak Semuel; Sroyer, Alvian M; Reba, Felix; Kmurawak, Remuz M. B.; Tama, Antonius A. P.
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 11, No 1 (2026): 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.v11i1.40366

Abstract

Food insecurity in the Land of Papua remains a critical issue due to extreme geographical conditions, limited infrastructure, and unstable food distribution systems. This study aims to map food vulnerability across 42 districts/cities in Papua using insufficient food consumption data from 2020 to 2024. Clustering was performed using five methods—Single Linkage, Complete Linkage, Ward, K-Means, and Gaussian Mixture Model (GMM)—and evaluated using three validation indices: Silhouette, Davies–Bouldin Index (DBI), and Calinski–Harabasz Index (CHI). To obtain a balanced and comprehensive model selection, a Performance-Based Weighting (PBW) framework was applied. In this framework, the DBI was first transformed to ensure a consistent higher-is-better orientation, and all validation indices were normalized to the [0,1] range prior to computing variance-based weights. This normalization step mitigates potential scale dominance, particularly from the unbounded CHI metric, ensuring proportional contribution from each validation criterion in the aggregated score. Although individual validation indices exhibited varying optimal values of k, the integrated PBW evaluation consistently identifies the two-cluster configuration as the most stable and interpretable overall structure. Specifically, Complete Linkage with k = 2 achieved the highest combined PBW score (0.8658), reflecting strong cluster separation and consistency across validation measures. Spatial interpretation of the resulting clusters reveals that the first cluster predominantly consists of high-risk mountainous districts with persistently elevated levels of food consumption inadequacy, particularly during 2021–2022, while the second cluster represents coastal and urban regions with comparatively lower and improving prevalence in 2023–2024. These findings provide a multiyear clustering perspective with geographic insight into regional disparities in food insecurity across Papua. Overall, this study presents a data-driven and reproducible multiyear clustering framework that integrates multiple validation criteria to enhance robustness in model selection and support evidence-based regional policy formulation.
Co-Authors Agustinus Langowuyo Agustinus Langowuyo Ahmad Sofyan Alvian M Sroyer Asmuruf, Frans Felix Reba Felix Reba Habel Saud Handiko Handiko Henderina Morin, Henderina Ishak Semuel Beno Jonathan k. Wororomi Jonner Nainggolan Kalvin Paiki Korinus Rejauw Langowuyo, Agustinus Languwuyo, Agustinus Mandowen, Samuel Aleksander Mikhael Udam Popi Ida Laila Ayer Remuz MB Kmurawak Sara Yokhu Tama, Antonius A. P. Tiku Tandiangnga Wambrauw, Oscar O. O. Yansen Alberth Reba Yokhu, Sara Yosefina Sarena