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All Journal BIMASTER Jambura Journal of Mathematics ComTech: Computer, Mathematics and Engineering Applications JUDIKA (JURNAL PENDIDIKAN UNSIKA) Jurnal Matematika UNAND Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Forum Analisis Statistik Jurnal Siger Matematika Fraction: Jurnal Teori dan Terapan Matematika Jurnal Pengabdian pada Masyarakat
Nurfitri Imro’ah
Universitas Tanjungpura
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences

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Negative Binomial Regression in Overcoming Overdispersion Poverty Data in Kalimantan Alvin Octavianus Halim; Nurfitri Imro'ah
Jurnal Forum Analisis Statistik Vol. 4 No. 1 (2024): Jurnal Forum Analisis Statistik (FORMASI)
Publisher : Badan Pusat Statistik Provinsi Kalimantan Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57059/formasi.v4i1.67

Abstract

Poverty is one of the problems that Indonesia still faces. Kalimantan Island has large naturalresources, but experiences inequality in the distribution of wealth in the region. In this study, data onthe number of poor people is used as the dependent variable. The independent variables include thepercentage of households that have access to non-PLN electricity (X1), access to proper drinking water(X2), proper sanitation (X3), non-own toilet facilities (X4), HDI (X5), Open Unemployment Rate (X6),average wages of informal workers and main employment (X7), population density per km2 (X8),monthly per capita food and non-food expenditure (X9), percentage of the population who have healthcomplaints and do not treat because there is no cost (X10), and percentage of the population aged 15years and above who do not have a diploma (X11) in 2023. A Poisson regression analysis is employed.The model accounts for the significance of every independent variable. The model was found to haveoverdispersion, which was resolved through negative binomial regression. The findings of the studyrevealed that the average wage of informal workers and primary employment, population density perkm2, monthly per capita food and non-food expenditure, the percentage of the population who havehealth complaints but do not treat them because there is no cost, and the percentage of the populationaged 15 years and older who do not have a diploma all have a significant impact on the magnitude ofthe number of people living in poverty on the island of Kalimantan.
EFEKTIVITAS PELATIHAN POWER BI DALAM MENINGKATKAN LITERASI DATA ADMIN SATU DATA KALIMANTAN BARAT Neva Satyahadewi; Evy Sulistianingsih; Shantika Martha; Nurfitri Imro'ah; Hendra Perdana; Wirda Andani; Ray Tamtama; Yuyun Eka Pratiwi; Muhammad Fikri; Pitriani; Annisa Auliarahmi; Nazwa Nursyifa; Yohanna Gabriel Richsita; Louis Putra Jaya; Jessica Audrey Valeria
Dianmas Bhakti: Jurnal Pengabdian pada Masyarakat Vol 3 No 1 (2026): Dianmas Bhakti: Jurnal Pengabdian pada Masyarakat
Publisher : LPPM Universitas Panca Bhakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54035/dianmas.v3i1.626

Abstract

This Community Service Program (PKM) aimed to enhance data literacy and information visualization skills among Satu Data administrators of local government agencies (OPD) through Microsoft Power BI training at the West Kalimantan Provincial Communication and Information Agency (Diskominfo). The program was implemented through preparation, face-to-face training, and evaluation stages using pre-test and post-test instruments. The training covered fundamental concepts of data analysis, data visualization techniques, and hands-on dashboard development using regional sectoral data. The results of the paired sample t-test analysis indicated a statistically significant improvement between participants’ pre-test and post-test scores, demonstrating the effectiveness of the training. Furthermore, analysis using Partial Least Squares Structural Equation Modeling (PLS-SEM) revealed that training material quality had a positive and significant effect on participants’ learning outcomes, while other supporting factors such as training duration, facilitator performance, and technical aspects did not show significant effects. These findings highlight that well-structured and relevant training materials play a critical role in improving participants’ competencies. Overall, the program contributed to strengthening analytical skills and supporting the implementation of the Satu Data Indonesia policy toward transparent and evidence-based data governance
K-Means Cluster with Calinski Harabasz Index Evaluation to Map Forest Degradation and Deforestation Areas Ummi Rahimah; Shantika Martha; Nurfitri Imro'ah
Jurnal Matematika UNAND Vol. 15 No. 2 (2026)
Publisher : Departemen Matematika dan Sains Data FMIPA Universitas Andalas Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jmua.15.2.237-248.2026

Abstract

Although Indonesia is home to a rich biodiversity, the country is threatenedby forest degradation and deforestation, particularly in West Kalimantan. As asignificant contributor to the agricultural sector’s gross domestic product (PDRB), the Sanggau Regency is vital for preserving the environment and promoting sustainable development. This research uses the K-Means Cluster to categorize regions in Sanggau that can potentially experience forest degradation. Then, the Calinski Harabasz Index will be used to determine which clusters are the most effective. Two thousand twentythree, the research findings revealed five ideal clusters, each with a Calinski Harabasz Index value of 3.87. The first cluster consists of one sub-district, the second cluster consists of three sub-districts, the third cluster consists of two sub-districts, the fourth cluster consists of five sub-districts, and the fifth cluster consists of four sub-districts, which are all included in the distribution of clusters. A map illustrating the degree of urgency associated with forest degradation is produced as a result of this study. The map serves as a strategic reference for the government of Sanggau in its efforts to reduce theforest’s degradation and develop areas per the peculiarities of each sub-districts.
Optimal IDX30 Stock Portfolio Construction Using a Two-Constraint Mean-Variance Model with Robust S-Estimation Anis Faiqo Tuzzainiyah; Evy Sulistianingsih; Nurfitri Imro’ah
Jambura Journal of Mathematics Vol 8, No 2: August 2025
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjom.v8i2.39603

Abstract

The capital market plays an important role in the economy by providing investment instruments for investors and financing sources for companies. A capital market portfolio consists of a collection of financial assets, such as stocks, constructed to achieve an optimal return while reducing investment risk. Mean-variance portfolio construction is highly sensitive to parameter estimation errors. Therefore, a robust estimation approach is employed to obtain more stable parameter estimates by minimizing the influence of outliers. This study aims to construct an optimal stock portfolio through diversification, determine stock weights using a two-constraint mean-variance model with robust S-estimation, calculate the expected return and risk, and evaluate portfolio performance. The analysis was conducted using the closing prices of stocks included in the IDX30 Index from October 2024 to September 2025. The results identified nine stocks with positive expected returns from five different sectors. Based on the stock selection criteria, two optimal portfolios were constructed. Portfolio 1 consists of ASII, BRPT, INDF, PGAS, and TLKM, whereas Portfolio 2 consists of ASII, ANTM, INDF, PGAS, and TLKM. Portfolio 1 generates an expected return of 0.137% with a risk of 2.226%, while Portfolio 2 generates an expected return of 0.097% with a risk of 1.319%. Based on the Sharpe and Treynor ratios, Portfolio 1 demonstrates relatively better performance than Portfolio 2.
Co-Authors Abang Yogi Pratama Alvin Octavianus Halim Anis Faiqo Tuzzainiyah Anjeli Dwi Laksmi Annisa Auliarahmi Astri Maulini Bagus Setiadi Canseria Yuli Ismayanti Deva Kurnia Aristi Devi Eka Putri Eka Lestari Ervin Ervin Ervina Ervina Evy Sulistianingsih Helmi Helmi Hendra Perdana Ika Novira Zulianti Imi Sartika Indah Noviyanti Jessica Audrey Valeria Julianti Kastari Laksono Trisnantoro Louis Putra Jaya Luh Putu Ratna Sundari Maria Regina Vindasari Maya Rosalina Muhammad Fikri Naomi Nessyana Debataraja Nazwa Nursyifa Neva Satyahadewi NUR’AINUL MIFTAHUL HUDA Pitriani Riani Mahalalita Robiansyah Robiansyah Sani Sani Setyo Wir Rizki Setyo Wira Rizki Shantika Martha Siti Aprizkiyandari, Nurul Qomariyah, Shantika Martha, Siti Hardianti Sri Jumiati Syafitri Wulandari Tamtama, Ray Trinita Ariningsih Ummi Rahimah Vina Annisa Nurdiani Aji Vita Virgianti Wirda Andani Yohanna Gabriel Richsita Yosi Yosi Yuyun Eka Pratiwi