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All Journal Mandalika Mathematics and Educations Journal Indonesian Journal of Peace and Security Studies Jurnal Pengabdian Inovasi Masyarakat Indonesia
Dina Eka Putri
Universitas Mataram
Agriculture, Biological Sciences & Forestry Chemistry Education Mathematics Social Sciences Other

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Pengenalan Teori Permainan dan Statistika Dasar ke Siswa SMAN 1 Selong dengan Pendekatan MSJ Ayes Malona Siboro; Bulqis Nebulla Syechah; Dina Eka Putri; Fariz Maulana; I Gede Adhitya Wisnu Wardhana; Irwansyah Irwansyah; Lailia Awalushaumi; Lalu Hasan Ghoffari; Lalu Riski Wirendra Putra; Muhammad Naoval Husni; Nur Asmita Purnamasari; Nuzla Af'idatur Robbaniyyah; Salwa Salwa; Qurratul Aini; Zata Yumni Awanis
Jurnal Pengabdian Inovasi Masyarakat Indonesia Vol. 2 No. 2 (2023): Edisi Agustus
Publisher : Program Studi Pendidikan Kimia FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpimi.v2i2.2893

Abstract

The community engagement activity carried out by the teaching team from the Mathematics Program of the Faculty of Mathematics and Natural Sciences at Universitas Mataram to SMAN 1 Selong has successfully introduced students to the importance of statistics and game theory in decision-making. Through stories and real-life cases, students are encouraged to consider factors such as averages and standard deviations in making informed decisions. They also learn about the story of John Nash, who discovered game theory, and compare it to the economic principles of Adam Smith. Students realize that collective interests can lead to better outcomes than personal interests. In the case of The Prisoner's Dilemma, students also see the importance of game theory in the context of collective decision-making. Overall, this activity helps students understand the importance of statistics and game theory in the decision-making process.
Trend Analysis of Indonesian Migrant Worker Profiles: Redirecting Strategy on Indonesia’s Demographic Bonus Dina Eka Putri; Mega Nisfa Makhroja
Indonesian Journal of Peace and Security Studies (IJPSS) Vol. 5 No. 1 (2023): Indonesian Journal of Peace and Security Studies
Publisher : Department of International Relations, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ijpss.v5i1.125

Abstract

Indonesian migrant workers (IMW) make a significant impact not only for themselves, but also for their families, and country’s economy. The top destinations for PMI include Malaysia, Saudi Arabia, Hong Kong, Taiwan, and Singapore, where they find employment in various sectors. However, Indonesia is entering a demographic bonus era, characterized by a large proportion of the population being in the working-age group. This demographic shift presents opportunities for economic growth, job creation, and increased productivity if effectively managed. Meanwhile, the rise of ageing population in several developed countries open more opportunities for PMI. Using a mixed-methods approach, with push full migration, population trend and aging population analysis, this study aims to analyze the evolving trends in PMI profiles and reassess their position in the international labor market. The study highlights the importance of understanding the changing patterns and identifying Indonesia's current positioning to devise effective strategies for PMI. The study findings indicate that the characteristics of PMI have become more diverse and cannot be represented only by one single profile. Based on the analysis, Indonesia has the potential to unlock its workforce potential, drive economic growth, and establish mutually beneficial partnerships by capitalizing on the demographic bonus. Strategic leveraging of this advantage and optimizing opportunities in the international labor market can facilitate Indonesia's economic development while prioritizing the well-being of its migrant workers.  
Klasifikasi Kegagalan Pengobatan Penyakit Tuberkulosis (TB) di Kota Mataram Menggunakan Metode Multivariate Adaptive Regression Splines (MARS) Lisa Harsyiah; Zulhan Widya Baskara; Jihadil Qudsi; Helmina Andriani; Dina Eka Putri
Mandalika Mathematics and Educations Journal Vol 8 No 2 (2026): Edisi Juni
Publisher : FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jm.v8i2.11798

Abstract

Tuberculosis (TB) is an infectious disease that affects the lungs and can spread through the air. Indonesia ranks second globally, contributing approximately 10% of the total TB cases worldwide. The Province of Nusa Tenggara Barat (NTB) has been recorded as having a high number of TB cases, with the City of Mataram being one of the areas with the highest incidence. Although TB can be cured through anti-tuberculosis drug (OAT) treatment for six months, the success rate of this treatment has declined since 2016. Several factors such as age, gender, education level, and other health conditions may influence treatment success. Therefore, evaluating treatment outcomes is very important, including monitoring the results of treatment to determine whether the treatment is successful or unsuccessful. In order to classify TB treatment failure, an effective statistical method that can be used is Multivariate Adaptive Regression Splines (MARS). MARS is a flexible nonparametric regression method capable of handling high-dimensional data, making it very useful for classifying data with many predictor variables. This study aims to classify TB treatment failure in the City of Mataram using the MARS method, with the expectation of improving treatment success in the region. Based on the analysis using the MARS method, the type of TB (X₅) was found to be the main determining variable of treatment outcomes, with a fairly good overall classification accuracy of 80%.
Co-Authors Ayes Malona Siboro Harsyiah, Lisa Helmina Andriani I Gede Adhitya Wisnu Wardhana Irwansyah Irwansyah Jihadil Qudsi Lailia Awalushaumi Lalu Hasan Ghoffari Lalu Riski Wirendra Putra Maulana, Fariz Mega Nisfa Makhroja Muhammad Naoval Husni Nur Asmita Purnamasari Nuzla Af'idatur Robbaniyyah Qurratul Aini Salwa Salwa Zata Yumni Awanis