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All Journal Edumatsains BAREKENG: Jurnal Ilmu Matematika dan Terapan International Journal of Applied Sciences and Smart Technologies Indonesian Journal of Data and Science Jurnal ComunitA Servizio Jurnal Pengabdian Masyarakat Mandira Cendikia (JPKM-MC) KREATIF: Jurnal Pengabdian Masyarakat Nusantara
Asido Saragih
Institut Teknologi Del
Agriculture, Biological Sciences & Forestry Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Nursing Physics Social Sciences Transportation Other

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Journal : Edumatsains

 1 
PENGARUH KECERDASAN INTERPERSONAL TERHADAP PRESTASI BELAJAR MATEMATIKA Asido Saragih
EduMatSains : Jurnal Pendidikan, Matematika dan Sains Vol. 8 No. 1 (2023): Juli
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Kristen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/edumatsains.v8i1.4702

Abstract

This study aims to determine whether there is a positive and significant influence of interpersonal intelligence on mathematics learning achievement. This research was conducted at Strada Mardi Utama 1 Middle School, Jakarta in 2015. The method used was a quantitative-survey method. The samples used were 84 grade VIII students of SMP Strada Mardi Utama 1 Jakarta taken by random sampling or simple random sampling from two classes. Data analysis was performed using the correlation test, regression test, and ANOVA test. The results showed that there was a positive and significant influence of interpersonal intelligence on the mathematics achievement of Grade VIII students of SMP Strada Mardi Utama 1 Jakarta.
The Influence of Intrapersonal Intelligence on Mathematics Learning Achievement Asido Saragih
EduMatSains : Jurnal Pendidikan, Matematika dan Sains Vol 9 No 1 (2024): July
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Kristen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/edumatsains.v9i1.5767

Abstract

Difficulty learning mathematics is a problem that often occurs, and this condition is considered to give a stigma that mathematics is a difficult subject. Various learning theories and approaches have been used, including recognizing, and exploring students' potential to find out whether there is other potential that can support their ability to understand mathematics, such as the ability to understand and evaluate oneself, also known as intrapersonal intelligence. This research aims to measure the influence of students' intrapersonal intelligence on their mathematics learning achievement by distributing questionnaires to measure their intrapersonal intelligence, as well as students' report cards as a representation of their mathematics learning achievement. In this study, the researcher used quantitative methods and found a positive and significant influence between intrapersonal intelligence on mathematics learning achievement on a strong scale.
Application of Tahani Fuzzy Logic in Participant Selection for ONMIPA PT: A Case Study at Institut Teknologi Del Asido Saragih; Jaya Santoso; Ana Muliyana
EduMatSains : Jurnal Pendidikan, Matematika dan Sains Vol 9 No 2 (2025): January
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Kristen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/edumatsains.v9i2.6273

Abstract

This study investigates the preparation of students for the National Olympiad of Mathematics and Natural Sciences for Higher Education (ONMIPA PT), focusing on the selection process at Institut Teknologi Del (IT Del). The research applies the Tahani fuzzy logic method to select students who demonstrate potential across various mathematical disciplines such as Linear Algebra, Abstract Algebra, Real Analysis, Complex Analysis, and Combinatorics. By using fuzzy logic, students' performances are categorized into three levels: less, adequate, and good. The goal is to ensure a well-rounded selection of participants who can excel in all tested areas, rather than choosing those with the highest scores in individual topics. The results demonstrate that fuzzy logic improves decision-making in selecting participants for the competition. Additionally, the study highlights the broader implications of ONMIPA PT in enhancing educational quality and fostering scientific excellence. This research contributes to the development of selection methods for academic competitions, offering insights into the application of fuzzy logic in multi-stage decision-making processes.
Analysis of High School Students' Reasoning Ability in Solving Higher Order Thinking Skill Type Mathematics Problems Ana Muliyana; Asido Saragih; Jaya Santoso
EduMatSains : Jurnal Pendidikan, Matematika dan Sains Vol 10 No 2 (2025): October
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Kristen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/edumatsains.v10i2.6923

Abstract

This study investigates the mathematical reasoning abilities of high school students in North Sumatra who participated in the Del Mathematics and Science Competition (DMSC). Prior studies have revealed that students’ reasoning abilities are generally low; however, limited attention has been paid to their performance in competition-based settings. The purpose of this study is to assess the mathematical reasoning skills of students through higher-order thinking problems adapted from National Science Olympiad (OSN) materials. This research employed a qualitative descriptive method. The participants consisted of 25 high school students who reached the final round of the DMSC. The instrument used was a written mathematical reasoning test consisting of five essay questions. Students’ responses were analyzed using descriptive statistics, including mean scores and percentage values based on established scoring rubrics. The results showed that 18 students were categorized as having low reasoning ability and 7 students had a moderate level. The average reasoning score was 63.84%, which falls into the low category. Although students could perform calculations, most of them struggled with argument validation and logical explanation.The findings emphasize the necessity for educators to develop instructional strategies that foster students’ mathematical reasoning, particularly through approaches that stimulate higher-order thinking skills.
Redefining Academic Recruitment Using Fuzzy Tahani Logic: A Multi-Criteria Model for Calculus Teaching Assistants’ Selection Asido Saragih; Febri Sihotang; Jaya Santoso; Ana Muliyana; Ragina Ayunita Tarigan
EduMatSains : Jurnal Pendidikan, Matematika dan Sains Vol 10 No 2 (2025): October
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Kristen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/edumatsains.v10i2.7284

Abstract

This study aims to implement the Tahani fuzzy logic method as a decision support system for selecting candidates to become teaching assistants in a Calculus course. The selection process involves evaluating participants based on four test items covering major topics in Calculus: definite integrals, areas between curves, and others. Each participant’s score was fuzzified into three linguistic categories: poor, fair, and good. Membership functions were constructed using triangular distributions, and fuzzified scores were processed using a rule-based inference system. The final recommendation score for each participant was obtained by defuzzifying the fuzzy outputs. Participants with a final score recommendation greater than or equal to 0.5 were classified as eligible. The results show that the fuzzy logic approach offers a flexible and effective way to handle uncertainties in assessment, with 8 participants meeting the passing criteria. This method provides an objective framework for decision-making in academic selection contexts.
Fuzzy Based Evaluation of Digital Connectivity Across Countries Using Mamdani Fuzzy Inference System Saragih, Asido; Jaya Santoso; Ana Muliyana
EduMatSains : Jurnal Pendidikan, Matematika dan Sains Vol 10 No 4 (2026): April
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Kristen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/edumatsains.v10i4.8096

Abstract

Digital connectivity plays an important role in supporting economic growth and social inclusion. However, measuring it across countries is not straightforward because it involves several indicators and a certain level of uncertainty. In this study, we applied a Mamdani Fuzzy Inference System (FIS) to assess digital connectivity in 137 countries. The data were taken from the ITU and World Bank (2024), including Internet Users, Fixed Broadband Subscriptions, and Mobile Cellular Subscriptions. We built a rule-based system using five linguistic categories and adjusted the membership functions based on the data distribution. The centroid method was then used to generate a Digital Connectivity Index (DCI) on a scale of 0 to 100. The results indicate a clear gap in global connectivity. A total of 23 countries achieved a Very High DCI (≥ 80), mostly located in Western Europe and East Asia. In contrast, 17 countries fell into the Very Low category (< 20), mainly from Sub-Saharan Africa. The global average DCI was 53.47. Overall, the proposed approach provides a clear and easy-to-understand classification that can support policy analysis and evaluation of digital development.
Co-Authors Ana Muliyana Andrew Rolas Siagian Bambang Susanto Darmaji, Darmaji Febri Sihotang Fritz Marpaung Jaya Santoso JUNITA AMALIA Lawy Xenna Martgrita, Merry Meryam Purba, Santri Chintia Ragina Ayunita Tarigan REGINA AYUNITA TARIGAN Rudy Chandra Samuel Sibuea Sari Muthia Sari Sari Muthia Silalahi Tanujaya, Lukhia Britanthia Christina TARIGAN, REGINA AYUNITA Tegar Arifin Prasetyo