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All Journal Mimbar Agribisnis: Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis Griya Journal of Mathematics Education and Application Jurnal Lembaga Pengabdian Kepada Masyarakat Undana
Arista Marlince Tamonob
Universitas Nusa Cendana
Agriculture, Biological Sciences & Forestry Economics, Econometrics & Finance Education Engineering Health Professions Mathematics Social Sciences

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Pelatihan Penggunaan Maple dan SPSS untuk Guru SMP Kencana Sakti Haumeni So’e Irvandi Gorby Pasangka; Robertus Dole Guntur; Albert Mario Kumanireng; Mira Wadu; Elisabeth Brielin Sinu; Brian Juned Septory; Arista Marlince Tamonob; Efraim Kurniawan Dairo Kette; Farly Oktriany Haning
Jurnal Pengabdian Kepada Masyarakat Undana Vol 20 No 1 (2026): JUNI 2026
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jpkmlppm.v20i1.27536

Abstract

Kegiatan pengabdian pada masyarakat ini bertujuan untuk dapat meningkatkan kualitas dan ketrampilan guru dengan memanfaatkan teknologi yang semakin berkembang khususnya dalam menggunakan program Maple dan SPSS sebagai alat bantu dalam melakukan suatu penelitian. Dengan bantuan program Maple dan SPSS, pengolahan data penelitian dapat dilakukan dengan mudah dan cepat. Materi yang disampaikan yaitu terkait dasar-dasar penggunaan program Maple dan SPSS beserta manfaatnya. Berdasarkan hasil evaluasi kegiatan ini, diketahui bahwa para guru sudah dapat menggunakan program Maple dan SPSS.
Analisis Regresi Logistik Multinomial pada Kasus Kepemilikan Jaminan Kesehatan Usia Produktif Arista Marlince Tamonob; Anugrah Jordan; Robertus Dole Guntur; Farly Oktriany Haning
Griya Journal of Mathematics Education and Application Vol. 6 No. 1 (2026): Maret 2026
Publisher : Pendidikan Matematika FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/griya.v6i1.1022

Abstract

Health insurance ownership among the productive-age population is a critical issue in health development, particularly in Southwest Sumba Regency, which has not yet achieved the Universal Health Coverage (UHC) target. This study aims to identify the factors influencing health insurance ownership using the Multinomial Logistic Regression (MLR) method and to evaluate the model’s performance in classifying health insurance ownership status. The data used are derived from the 2023 National Socio-Economic Survey (SUSENAS) published by Statistics Indonesia of East Nusa Tenggara Province. The results of the MLR analysis indicate that place of residence, age, marital status, ownership of a savings account, type of employment, level of education, and health status have a significant effect on health insurance ownership. In addition, the model’s classification accuracy is evaluated using the Apparent Error Rate (APER) and overall accuracy, showing that the MLR model has a reasonably good classification ability in predicting health insurance ownership categories. These findings provide an empirical basis for policy formulation aimed at increasing health insurance coverage in Southwest Sumba Regency.
Prioritas Pengembangan Beras Analog di Kabupaten Kupang Nusa Tenggara Timur Aplonia Bani; Arista Marlince Tamonob; Delila Seran Nahak
Mimbar Agribisnis : Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis Vol 12, No 2 (2026): Juli 2026
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/ma.v12i2.22889

Abstract

Public dependence on rice as a staple food remains high, while local food diversification has not yet been optimally developed. This study aims to analyze the variables influencing consumer acceptance of three types of analog rice—corn, cassava, and porang—and to determine their development priorities. An organoleptic test was conducted using untrained panelists (students in Kupang Regency, n=16), employing a binary preference scale (like=1, dislike=0) for the variables of color, aroma, taste, texture, shape, and price. The data were analyzed using Penalized Logistic Regression (Odds Ratio/OR) to identify factors influencing consumer preference, and the Analytic Hierarchy Process (AHP) to determine product development priorities, with the assistance of R software version 4.5.1. The results show that for cassava-based analog rice, aroma was the dominant factor, with the highest odds ratio (OR=30.494). In addition, color, taste, texture, and price increased the likelihood of acceptance (OR>1), whereas shape reduced acceptance probability (O0.268). For corn-based analog rice, shape was the main determinant (25.633), followed by price (6.144), aroma, taste, and texture. In contrast, for porang-based analog rice, color and shape had the strongest influence on acceptance (12.60), while price reduced the likelihood of consumer acceptance (0.78). The AHP analysis identified cassava-based analog rice as the top development priority (42.33%), due to its lower price, preferred taste and texture, and attractive color. This was followed by corn-based analog rice (30.70%) and porang-based analog rice (26.98%).
Co-Authors Albert Mario Kumanireng Anugrah Jordan Aplonia Bani Brian Juned Septory Delila Seran Nahak Efraim Kurniawan Dairo Kette Elisabeth Brielin Sinu Farly Oktriany Haning Irvandi Gorby Pasangka Mira Wadu Robertus Dole Guntur