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All Journal Jurnal Ilmu Lingkungan Journal The Winners REKAYASA Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi dan Pembangunan BAREKENG: Jurnal Ilmu Matematika dan Terapan InPrime: Indonesian Journal Of Pure And Applied Mathematics Jurnal Statistika dan Aplikasinya International Journal of Business, Law, and Education International Journal of Science and Society (IJSOC) Pattimura International Journal of Mathematics (PIJMath) Jurnal Ekonomi dan Pembangunan Indonesia Parameter: Jurnal Matematika, Statistika dan Terapannya
Bagus Sumargo, Bagus
Staf pengajar FMIPA, UBiNus, Jakarta dan Peneliti BPS
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IMPLEMENTATION OF THE DBSCAN ALGORITHM FOR CLUSTERING STUNTING PREVALENCE TYPOLOGY IN WEST JAVA, CENTRAL JAVA, AND EAST JAVA REGIONS Sumargo, Bagus; Kadir, Kadir; Safariza, Dena; Asikin, Munawar; Siregar, Dania; Sari, Nilam Novita; Umbara, Danu; Hilmianto, Rizky; Kurniawan, Robert; Firmansyah, Irman
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 3 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss3pp1779-1790

Abstract

Stunting, a condition where children are malnourished for a long period, causes growth failure in children. West Java, Central Java, and East Java are the 3 provinces with the highest prevalence of stunting in 2021. This study aims to group districts/cities in these provinces based on factors that influence stunting using the DBSCAN method (there has been no previous research using this method for this case), so the typology of stunting prevalence is implied. The group results can be valuable input for policy priorities in overcoming stunting. The study used the DBSCAN (Density-Based Spatial Clustering of Application with Noise) method, which can also detect noises (outliers). The determination of eps and MinPts is based on the average value of the distance from each data to its closest neighbor. The distance obtained then was used in the KNN algorithm to determine eps and MinPts parameters. Clustering is done using standardized data and DBSCAN parameters obtained from the k-dist plot, eps is 1.92, and MinPts is 2. The validation test used is the silhouette coefficient to determine the goodness of the cluster results. The clustering results show that there are 2 clusters and 1 noise that have special characteristics related to factors that influence the prevalence of stunting. Cluster 1 consisted of 97 districts/cities and was characterized by a high percentage of infants under 6 months receiving exclusive breastfeeding and the lowest average per capita household expenditure. Cluster 2 (Bekasi City and Depok City) was characterized by the lowest percentage of households with proper health facilities and infants aged 0-59 months receiving complete immunization. The noise (high stunting prevalence) in Bandung City is characterized by the lowest percentage of households having proper sanitation.
POVERTY MACRO SYSTEM DYNAMICS MODELING BASED ON SIMULTANEOUS EQUATIONS MODELS Sumargo, Bagus; Firmansyah, Irman; Nugraha, Asep Anwar; Mulyono, Mulyono; Siregar, Dania; Nuriza, Felia Aidah
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 1 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss1pp0255-0268

Abstract

Poverty factors are multidimensional and complex. Currently, to predict the number of people living below the poverty line using the concept of linear thinking. It is necessary to study the causal relationships among poverty factors in form of a system dynamics model. This study aims to predict the poverty rate people in “The Golden Indonesia” 2030 using poverty macro models. The data used are time series data from 2009 to 2018 at the national level (Indonesia), and data sources from the BPS Statistics-Indonesia, and the Ministry of Environment and Forestry of the Republic of Indonesia. The research method uses a system dynamics model, where the system of thinking is created based on the two-stage least square (2SLS) simultaneous equation model. The 2SLS simultaneous equation model testing results show that there are three significant simultaneous equations, including poverty, economic growth, and human development index. Furthermore, the three simultaneous equations show a causal loop diagram (CLD) in a system dynamics model. The mean absolute percentage error (MAPE) is 2.34%, meaning that the macro poverty model is valid. The scenario formats for prediction include “optimistic” for economic growth and the “moderate” for human development index (HDI), total population, unemployment, and environmental quality index variables. The predicted percentage number of poor people in 2030 is 4.12%, a positive deviation of 0.12% from the government’s target of 4%. All parties need to work hard and together for the “optimistic” scenario to be implemented, which is to raise Indonesia’s economic growth to 7.4%. This study assumes that there is no Covid-19 problem and only predicts 10 years due to limited data used in 2010-2018. The novelty of this study is the alignment of the prediction results between the system dynamics and the simultaneous equation models. In general, the system dynamics model is valid and could answer the complexity of a phenomenon to predict poverty.
Indonesian Students Reading Literacy Score in Framework Hierarchical Data Structure Using Multilevel Regression Maya Santi, Vera; Rahayuningsih, Yuliana; Sumargo, Bagus
Parameter: Jurnal Matematika, Statistika dan Terapannya Vol 4 No 2 (2025): Parameter: Jurnal Matematika, Statistika dan Terapannya
Publisher : Jurusan Matematika FMIPA Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/parameterv4i2pp353-368

Abstract

Education is essential for improving the quality of Indonesian society. Indonesia participated in the Programme International Students Assessment (PISA) survey to improve the quality of education. Based on the 2018 PISA survey data, Indonesia's reading literacy score has a hierarchical data structure, which means students at level 1 are nested by schools at level 2. The multilevel model is an appropriate approach to analyze such hierarchical structures. However, quantitative analysis of PISA data is still rarely carried out. This study aims to analyze the explanatory variables that significantly affect Indonesian students' reading literacy from the PISA survey using multilevel regression. This study examined student-level and school-level explanatory variables obtained from the Organization for Economic Cooperation and Development (OECD). Significant parameter tests revealed that, at the student level, factors such as socioeconomic status, teacher support in language learning, teacher-directed instruction, enjoyment of reading, perceived difficulty, competitiveness, mastery goal orientation, disciplined classroom climate in reading, general fear of failure, attitudes toward school, and perceived feedback significantly influence reading literacy. At the school level, school size was found to be a significant factor affecting reading literacy scores. Furthermore, the Intraclass Correlation Coefficient (ICC) indicated that schools accounted for 49% of the total variance.
Pemilihan Prioritas Pengolahan Sampah dalam Perspektif Pengetahuan Masyarakat Untuk Reduksi Emisi Sari, Novia; Rahmayanti, Henita; Sumargo, Bagus
Rekayasa Vol 16, No 3: Desember 2023
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v16i3.22643

Abstract

Jakarta, as one of the metropolitan cities in Indonesia, has various problems in the waste sector. According to the 2022 National Waste Management Information System (SIPSN), daily waste generation in DKI Jakarta in 2022 is 8,527.07 tons with a reduction of around 26% in each administrative city area. This research uses literature studies based on several theories and research regarding waste problems with the aim of increasing community participation in implementing Minister of the Environment Regulation Number 13 of 2012 concerning Guidelines for Implementing Reduce, Reuse, Recycle through Waste Banks as an effort towards a circular economy. The results of the analysis using the Analytic Hierarchy Process (AHP) method with the help of the Superdecision Application show the weight of the criteria for determining waste processing in order from highest, namely showing that social aspects have the highest preference (51.49%), environmental aspects (28.24%), economic aspects (11.89%) and technological aspects (8.37%). Meanwhile, the alternative priority order with the highest preference is Compost at 51.617%, followed by the Recycle method at 24.40%, Incineration at 15.61% and the Landfill method at 8.36%. with an Inconsistency value of 0.02. This shows that the calculation of these criteria still falls within the inconsistency threshold, which cannot be more than 0.1.
Analysis Water Quality in Reservoir of PDAM Tirta Bhagasasi Bekasi City Branch Hendriani, Ardina; Rahmayanti, Henita; Sumargo, Bagus
International Journal of Science and Society Vol 6 No 1 (2024): International Journal of Science and Society (IJSOC)
Publisher : GoAcademica Research & Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54783/ijsoc.v6i1.1076

Abstract

Water is needed to support various living systems. Almost all of human life needs require water, both for household needs, agriculture, industry and other economic activities. It’s need for clean water increases along with the reduction in clean water available in the area, which if not managed properly, it can be scarcity. This type of research is quantitative descriptive. This research was conducted at the reservoir of Water Treatment Plant of PDAM Tirta Bhagasasi, Bekasi City Branch. Sampling was carried out for five days on January 29-February 2 in 2024. The parameters tested in this study are temperature, pH, turbidity, odor and taste. Testing was carried out at the PDAM Tirta Bhagasasi Laboratory. It aim of this research is to analyze the water quality in the reservoir of Water Treatment Plant in PDAM Tirta Bhagasasi Bekasi City and then the results are compared with the clean and drinking water quality standards in accordance with Minister of Health Regulation Number 32 of 2017. The results of the research show that the water quality of the Water Treatment Plant in PDAM Tirta Bhagasasi Bekasi City in terms of temperature, pH, turbidity, odor and taste parameters have fulfilled the standard of clean water by the government. Based on the results of this research, it is hoped that PDAM will continue to carry out regular inspections and cleaning of each Water Treatment Plant building, because this can affect water quality, where water quality is one of the most important factors in maintaining customer satisfaction with PDAM Tirta Bhagasasi Bekasi City Branch.
Zero Inflated Poisson Regression Analysis in Maternal Death Cases on Java Island Santi, Vera Maya; Ambarwati, Defina; Sumargo, Bagus
Pattimura International Journal of Mathematics (PIJMath) Vol 1 No 2 (2022): Pattimura International Journal of Mathematics (PIJMath)
Publisher : Pattimura University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (442.104 KB) | DOI: 10.30598/pijmathvol1iss2pp59-68

Abstract

The basic regression model used to analyze the count data is the Poisson regression.. However, applying the Poisson regression model is unsuitable for excess zero data because it can cause overdispersion where the variance data is greater than its mean. One of the developments of the Poisson regression model can overcome this condition, Zero Inflated Poisson Regression (ZIP). In the health sector, the death of pregnant women on the Java island is an event that still rarely occurs and forms an excess zero data structure. However, the analysis of cases of maternal mortality using ZIP regression has never been studied in more depth. In this article, the maternal mortality cases in Java were modelled using ZIP regression to specify the variables that had a significant effect. The initial analysis results indicated the occurrence of overdispersion due to excess zero where there are 52% zero values in the data. The ZIP regression applied in this research provides enhancements to the Poisson regression based on the Vuong test. The results showed that the variables that had a significant effect on the maternal death cases in Java in the count model are the percentage of maternal health service coverage and the percentage of coverage of postpartum visit coverage, while in the zero-inflation model, the percentage of deliveries in health facilities and the percentage of obstetric complications treatment
Bivariate Binary Logistic Regression Analysis for Modeling Educational Level and Employment Status in Central Java Santi, Vera Maya; Ridana, Farah Fadhilah; Sumargo, Bagus
InPrime: Indonesian Journal of Pure and Applied Mathematics Vol. 7 No. 2 (2025)
Publisher : Department of Mathematics, Faculty of Sciences and Technology, UIN Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/k25zyf65

Abstract

Education and employment are two essential components of human development, yet studies that simultaneously examine both outcomes in the context of Central Java remain limited. This research makes a novel contribution by applying bivariate binary logistic regression to jointly model educational attainment and employment status, an approach that has not been previously used for the Central Java population. Using 3,874 observations from the 2024 National Labor Force Survey (Sakernas), the study incorporates two binary response variables and ten predictors to capture the interdependence between education and labor market outcomes. The independence test confirms a significant association between the two responses, supporting the need for a joint modeling framework. Parameter estimation using the Maximum Likelihood method, followed by partial and simultaneous likelihood ratio testing, reveals that marital status and type of institution significantly and simultaneously affect both educational attainment and employment status. The final model achieves classification accuracies of 85.932% and 80.356%, demonstrating strong predictive performance. This study contributes to the literature by presenting an integrated statistical approach that enhances our understanding of how sociodemographic and institutional factors jointly influence human capital and labour participation in Central Java. Keywords: Educational level; Employment status; Bivariate binary logistic regression; Maximum Likelihood method.   Abstrak Pendidikan dan pekerjaan adalah dua komponen penting dari pembangunan manusia, namun studi yang secara bersamaan memeriksa kedua hasil dalam konteks Jawa Tengah masih terbatas. Penelitian ini memberikan kontribusi baru dengan menerapkan regresi logistik biner bivariat untuk memodelkan bersama pencapaian pendidikan dan status pekerjaan, suatu pendekatan yang belum pernah digunakan sebelumnya untuk populasi Jawa Tengah. Dengan menggunakan 3.874 observasi dari Survei Angkatan Kerja Nasional (Sakernas) 2024, studi ini menggabungkan dua variabel respons biner dan sepuluh prediktor untuk menangkap saling ketergantungan antara pendidikan dan hasil pasar tenaga kerja. Uji independensi mengonfirmasi hubungan yang signifikan antara kedua respons, yang mendukung perlunya kerangka kerja pemodelan bersama. Estimasi parameter menggunakan metode Kemungkinan Maksimum, diikuti oleh pengujian rasio kemungkinan parsial dan simultan, mengungkapkan bahwa status perkawinan dan jenis lembaga secara signifikan dan simultan memengaruhi pencapaian pendidikan dan status pekerjaan. Model akhir mencapai akurasi klasifikasi sebesar 85,932% dan 80,356%, yang menunjukkan kinerja prediktif yang kuat. Penelitian ini memberikan kontribusi terhadap literatur dengan menyajikan pendekatan statistik terpadu yang meningkatkan pemahaman kita tentang bagaimana faktor sosiodemografi dan kelembagaan bersama-sama memengaruhi modal manusia dan partisipasi tenaga kerja di Jawa Tengah. Kata Kunci: Tingkat pendidikan; Status pekerjaan; Regresi logistik biner bivariat; Metode Kemungkinan Maksimum. 2020MSC: 62J12, 62P20.
Co-Authors Agung Purwanto Ambarwati, Defina Asikin, Munawar budi Cahyono Dian Handayani Erdien, Fareka Firmasyah, Irman Haida, Rahadita Nur Hendriani, Ardina Henita Rahmayanti Hilmianto, Rizky Irman Firmansyah Kadir Kadir Kirana, Siti Julpia Lubis, Alvi Pauziah Mulyono Mulyono Mulyono Nazhiifah, Nisriina Nilam Novita Sari Novia Sari Nugraha, Asep Anwar Nugroho, Yoga Dwi Nuriza, Felia Aidah Pratomo, Dody Rahayuningsih, Yuliana Ridana, Farah Fadhilah Robert Kurniawan, Robert Safariza, Dena Simanjuntak, Naomi Miduk M. Siregar, Dania Sitorus, Agnes Vera Yanti Syaifudin Syaifudin, Syaifudin Umbara, Danu Vera Maya Santi Wahyuni, Krismanti Tri Widyanti Rahayu Wulansari, Ika Yuni