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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan GERVASI: Jurnal Pengabdian kepada Masyarakat Sarwahita : Jurnal Pengabdian Kepada Masyarakat M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika Insan Cita Jurnal Pengabdian Kepada Masyarakat Jurnal Statistika dan Matematika (Statmat) Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Forum Analisis Statistik Pattimura International Journal of Mathematics (PIJMath) Jurnal Pengabdian pada Masyarakat
Tamtama, Ray
Statistics Study Program, Faculty Of Mathematics And Natural Sciences, Tanjungpura University, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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APPLICATION OF FUZZY ANALYTICAL NETWORK PROCESS IN DETERMINING THE CHOICE OF AREAS OF INTEREST Tiara, Dinda; Sulistianingsih, Evy; Perdana, Hendra; Satyahadewi, Neva; Tamtama, Ray
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 4 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss4pp2253-2262

Abstract

The Untan Statistics Study Program offers students a choice of areas of interest to develop competencies, attitudes, and skills. This study aims to analyze the decision to determine the choice of field of interest according to lecturers and students using the Fuzzy Analytical Network Process (FANP) method. A combination of ANP methods and Fuzzy logic, FANP is used to model and analyze complex networks of several factors determining the choice of areas of interest. The step in this study begins with the determination of the criteria and sub-criteria used for tissue formation. Then a comparison was carried out in pairs using the Fuzzy scale, so that the calculation of the global weight value of each criterion and sub-criteria was obtained. The resulting weight can be used for decision making. Data in research affects the opinions of lecturers and students. The decision obtained using the FANP method in this study is in the opinion of lecturers and students that the fields of business and finance are priority alternatives with the highest weight of 44.5%. The second priority with a weight of 37.5%, namely social and industrial interests, and the environmental and disaster sector occupies the last priority with a weight of 18%.
Pelatihan Infografis Untuk Pegawai PPN Pemangkat Martha, Shantika; Debataraja, Naomi Nessyana; Rizki, Setyo Wira; Imro'ah, Nurfitri; Perdana, Hendra; Kusnandar, Dadan; Satyahadewi, Neva; Tamtama, Ray
Insan Cita : Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 1 (2025): Februari 2025-Insan Cita: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32662/insancita.v7i1.2658

Abstract

PPN Pemangkat sebagai sentra perikanan mempunyai beberapa keunggulan, yaitu lokasi strategis, dekat dengan fishing ground dan daerah pemasaran. Dengan berbagai keunggulan tersebut diharapkan dapat meningkatkan kualitas perekonomian masyarakat sekitar. Pentingnya ketersediaan informasi tentang PPN Pemangkat untuk masyarakat dapat menjadi faktor pendukung untuk meningkatkan kualitas perekonomian masyarakat yang terhubung dengan keberadaan PPN Pemangkat seperti nelayan. Infografis sangat diperlukan untuk penyajian data di PPN Pemangkat. Baik itu data tentang kapal, nelayan maupun hasil tangkapan. Infografis dapat menyederhanakan informasi yang rumit, sehingga informasi data lebih dapat dipahami untuk semua kalangan. Untuk itu pelatihan infografis bagi pegawai PPN Pemangkat sangat diperlukan. Hasil dari kegiatan ini yaitu bertambahnya pengetahuan serta kemampuan pegawai PPN Pemangkat dalam mengolah data melalui pembuatan infografis menggunakan excel.
Estimation of Inpatient Health Insurance Premiums using the RP-2000 Table with Medical Cost Projection Scenario Satyahadewi, Neva; Perdana, Hendra; Tamtama, Ray
Pattimura International Journal of Mathematics (PIJMath) Vol 4 No 2 (2025): Pattimura International Journal of Mathematics (PIJMath)
Publisher : Pattimura University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/pijmathvol4iss2pp97-104

Abstract

Inpatient health insurance serves as an essential form of financial protection to mitigate the risk of loss arising from hospitalization costs. This study aims to estimate inpatient health insurance premiums by combining the Indonesian Mortality Table IV and the RP-2000 Combined Healthy Table to determine age-specific hospitalization probabilities. Methodologically, this research employs a quantitative actuarial modeling approach based on life table techniques and expected present value calculations, using secondary data from the Indonesian Mortality Table IV, the RP-2000 Combined Healthy Table, and published information on medical inflation in Indonesia. The numerical illustrations are obtained through spreadsheet-based actuarial calculations. In addition to age, the premium calculation incorporates the interest rate, the insured’s gender, and cost components such as inpatient care, surgery, and intensive care unit (ICU) treatment so that the premium structure aligns with the coverage provided. A scenario of rising hospital costs due to medical inflation, assumed at 13% per year, is also included to obtain more realistic and economically relevant premium estimates. A case study is conducted for a 30-year-old participant with a two-year coverage period, offering benefits of an inpatient daily allowance of IDR 300,000 (maximum 40 days), surgical expenses up to IDR 3,000,000, miscellaneous hospital care up to IDR 7,000,000, and an ICU allowance of IDR 600,000 per day (maximum 15 days). The analysis results show monthly premiums of IDR 113,341 for male participants and IDR 121,904 for female participants, where the difference is attributed to higher hospitalization risks among females. Age variation analysis indicates that premiums increase with age, while interest rate variation analysis shows that higher interest rates result in lower premiums due to the discounting effect. These findings support the need for a dynamic actuarial approach to setting more accurate and sustainable health insurance premiums
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
Classification of Pension Benefit Adequacy for Civil Servants in Pontianak City Using the C4.5 Algorithm Indah Maharani, Dwi; Tamtama, Ray
STATMAT : JURNAL STATISTIKA DAN MATEMATIKA Vol 8 No 1 (2026)
Publisher : Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Pamulang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/sm.v8i1.54960

Abstract

The development of information technology has encouraged the use of data-driven analysis to support decision-making in the governmental sector, including within the civil service pension system. This study aims to classify the adequacy of pension benefits received by retired Civil Servants in Pontianak City using the C4.5 algorithm. Pension benefit adequacy is determined by comparing the amount of basic pension received with household expenditures, which are calculated using the average monthly per capita expenditure in Pontianak City. The dataset consists of 322 retirees with variables including retirement age, years of service, last education, rank, and number of dependents. The model was developed using several training–testing data proportions, namely 70:30, 75:25, and 80:20. Model evaluation was conducted using accuracy, sensitivity, and specificity based on the confusion matrix. The results show that the 80:20 proportion produces the best model, achieving 100% accuracy, 100% sensitivity, and 100% specificity. The generated decision tree indicates that the most influential variable is the number of dependents, followed by rank and years of service. These findings suggest that household expenditure burdens and employment characteristics play a crucial role in determining pension adequacy. The resulting model is expected to assist pension management institutions in formulating data-driven policies to improve the welfare of retirees.
Co-Authors Andani, Wirda Annisa Auliarahmi Aprizkiyandari, Siti Dadan Kusnandar Dadan Kusnandar Debataraja, Naomi Nessyana Evy Sulistianingsih Hendra Perdana Huriyah, Syifa Khansa Ihsan, Muhammad Nurul Imro'ah, Nurfitri Indah Maharani, Dwi Jessica Audrey Valeria Kusuma Dewi, Annisa Louis Putra Jaya Martha, Shantika Muhammad Fikri Naomi Nessyana Debataraja Naomi Nessyana Debataraja Natalia, Desa Ayu Nazwa Nursyifa Neva Satyahadewi Nurfitri Imro'ah Nurfitri Imro’ah Pitriani Retnani, Hani Dwi Rizki, Setyo Wira Setyo Wir Rizki Setyo Wira Rizki Shantika Martha Shantika Martha Supandi Taraly, Inggriani Millennia Tiara, Dinda Wirda Andani Yohanna Gabriel Richsita Yundari, Yundari Yuyun Eka Pratiwi