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All Journal Jurnal Sains Riset SOSCIED MARISEKOLA: Jurnal Matematika Riset Edukasi dan Kolaborasi Gammath : Jurnal Ilmiah Program Studi Pendidikan Matematika
Maukar, Marvel G.
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Agriculture, Biological Sciences & Forestry Computer Science & IT Economics, Econometrics & Finance Education Mathematics Social Sciences

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PENINGKATAN KEMAMPUAN PEMECAHAN MASALAH MATEMATIS SISWA MATERI SISTEM PERSAMAAN LINEAR DUA VARIABEL MELALUI PENERAPAN MODEL PROBLEM BASED LEARNING Mangobi, James U. L.; Maukar, Marvel G.; Poluan, Marsela M.
SOSCIED Vol 7 No 2 (2024): SOSCIED - November 2024
Publisher : LPPM Politeknik Saint Paul Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32531/jsoscied.v7i2.868

Abstract

This research aims to examine the difference in improving mathematical problem solving abilities in the System of Linear Equations Two Variables material for students who applied the Problem Based Learning model and students who applied the Direct Instruction model. This research uses a quasi-experimental method, with a pretest-posttest control group design. The subjects in this research were 20 students in class VIIIA as the control class and 20 students in class VIIIB as the experimental class. Both classes are homogeneous and the same. Gain data analysis using the t-test concluded that there was a difference in the increase in the mathematical problem solving abilities of SPLDV material for students who applied the Problem Based Learning model and students who applied the Direct Instruction model. The results of the analysis of the level of students' mathematical problem solving abilities that apply the problem based learning model in the experimental class can be seen from the achievement of the KKM. Where 85% of students have been able to reach the KKM, while 15% of students are still below the KKM. This shows that the application of the problem based model has a better influence on increasing students' mathematical problem solving abilities
PREDIKSI JUMLAH MAHASISWA BARU FMIPA-K UNIMA MENGGUNAKAN MODEL REGRESI NON-LINEAR Lengkong, Ningsi M.; Langat, Rahel A.; Parapaga, Eka; Tetiwar, Geraldo; Tuerah, Auriel; Pangemanan, Tamariska; Mangobi, James U. L.; Maukar, Marvel G.
SOSCIED Vol 8 No 2 (2025): SOSCIED - November 2025
Publisher : LPPM Politeknik Saint Paul Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32531/jsoscied.v8i2.970

Abstract

This study aims to forecast the number of new students in each study program within the Faculty of Mathematics, Natural Sciences, and Earth Sciences at Manado State University (UNIMA) using a nonlinear regression model, specifically a polynomial model, based on historical enrollment data from the past five years. Accurate forecasting is expected to significantly support more strategic planning in creating a better campus environment and improving the comfort of future prospective students. The data in this study were processed using Microsoft Excel software by developing a third-order polynomial model, selected based on the coefficient of determination (R-squared) as the most suitable fit for the available data. The results indicate that the number of new students in each study program at FMIPA-K UNIMA is projected to increase significantly over the next ten years. This research can serve as a valuable reference for the faculty and study programs to anticipate future enrollment trends.
Co-Authors Jorry F Monoarfa Langat, Rahel A. Lengkong, Ningsi M. Mongkol, Sagita Healthy Pangemanan, Tamariska Parapaga, Eka Poluan, Marsela M. Rori, Gideon Selfie L. Kumesan Tammu, Thomas Tangkoro, Melinda Tetiwar, Geraldo Tuerah, Auriel Vivian E. Regar