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All Journal JURNAL PEMBELAJARAN DAN MATEMATIKA SIGMA (JPMS) AL JABAR: Jurnal Pendidikan dan Pembelajaran Matematika
Annisa Nur Azizah
UIN Raden Mas Said Surakarta
Education Mathematics

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ANALISIS KUALITAS SOAL PILIHAN GANDA DALAM ASESMEN SUMATIF MATEMATIKA MENGGUNAKAN TEORI TES KLASIK Annisa Nur Azizah; Fuad Luky Atmaja
AL JABAR: Jurnal Pendidikan dan Pembelajaran Matematika Vol. 5 No. 3 (2026): Juli
Publisher : LPPM Institut Ahmad Dahlan Probolinggo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46773/jz0mh014

Abstract

The purpose of this study is to describe the quality of objective test items used in summative assessments for mathematics based on classical test theory. This study will examine the aspects of difficulty, discriminative power, and the effectiveness of distractor options. The method used in this study is a descriptive quantitative approach involving 57 students from classes VIII A1 and VIII B as participants. The data used in this study were taken from 25 multiple-choice items on the summative assessment for the first semester of the 2025/2026 academic year, which were then analyzed using Microsoft Excel. The analysis results showed that the majority of items (56%) fell into the “moderate difficulty” category, while 40% were categorized as easy and 4% as difficult. In terms of discriminative power, 56% of the items fell into the “good to very good” category; meanwhile, 16% of the items were found to have low discriminative power. The effectiveness of distractors indicated that 70.67% of distractors functioned effectively, and 80% of the exam questions had good to very good distractor quality. Overall, this assessment tool is of good quality; however, some questions need to be revised to ensure more accurate and appropriate measurement of student skills.”
ANALYSIS OF INDONESIA’S OIL PRODUCTION AND CONSUMPTION USING LAGRANGE POLYNOMIAL INTERPOLATION WITH MATLAB Annisa Nur Azizah; Luluk Dwi Anggraini; Ari Wibowo
JURNAL PEMBELAJARAN DAN MATEMATIKA SIGMA (JPMS) Vol 12, No 2 (2026): (IN PRESS)
Publisher : Fakultas Keguruan dan Ilmu pendidikan (FKIP) Universitas Labuhan Batu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jpms.v12i2.9214

Abstract

This study aims to examine patterns of oil production and consumption in Indonesia using the Lagrange polynomial interpolation method with the assistance of MATLAB R2025b software. The data used consists of secondary data on Indonesia’s oil production and consumption from Worldometer, covering the period 2016–2024. This study employs a quantitative approach using interpolation analysis techniques to estimate values at time points not available in the original data, thereby providing a more continuous picture of the data dynamics. The results show that the Lagrange polynomial interpolation method is capable of producing a smooth, continuous curve that passes through all observation points, thus providing a good level of approximation and closely matching actual values. The analysis shows that oil production in Indonesia tends to decline despite fluctuations in certain periods, specifically from 940,999 barrels per day in 2016 to 840,868 barrels per day in 2024 (a decrease of approximately 10.6%), while oil consumption shows an upward trend, rising from 1,527,215 barrels per day in 2016 to 1,626,878 barrels per day in 2024 (an increase of approximately 6.5%). Furthermore, oil consumption has consistently exceeded production, with the gap ranging from 517,691 barrels per day (2020) to 800,657 barrels per day (2018), indicating a gap between national energy needs and domestic production capacity. These findings indicate that the Lagrange polynomial interpolation method is effective in modeling numerical data and capable of providing an overview of the national energy situation, thereby serving as an analytical tool to support planning and policymaking in the energy sector.
Co-Authors Ari Wibowo Fuad Luky Atmaja Luluk Dwi Anggraini