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Analysis of the Quality of Minimum Competency Assessment (AKM) Items in the Field of Natural Sciences (IPA) Mansyur Rahman; Mansyur Mansyur; Kaharuddin Arafah
Edusoshum : Journal of Islamic Education and Social Humanities Vol. 6 No. 2 (2026)
Publisher : Ikatan Cendikiawan Ilmu Pendidikan Islam (ICIPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52366/edusoshum.v6i2.377

Abstract

This research aims to analyze the quality of the Minimum Competency Assessment (AKM) items in the field of Natural Sciences (IPA) at the elementary school level in the Selayar Islands. This research uses a quantitative descriptive approach. The research subjects were 115 elementary school students, with the research object consisting of 15 multiple-choice questions. The focus of the research includes the analysis of content validity, reliability, difficulty level, discrimination power, and the effectiveness of distractors. The data analysis technique uses the Classical Test Theory (CTT) approach thru the calculation of the Aiken’s V index, Cronbach’s Alpha coefficient, as well as the analysis of difficulty index, discrimination power, and distractor function. The research results show that all items have very good content validity with Aiken’s V values ranging from 0.80 to 0.93 (average 0.87) and high reliability with a Cronbach’s Alpha coefficient of 0.81. The analysis of difficulty levels shows a value range of 0.35–0.74 with a distribution of 10 items in the moderate category, 3 items easy, and 2 items difficult. The discrimination analysis indicates that all items fall into the good to very good category, effectively distinguishing the abilities of the students. In addition, all distractors functioned effectively because they were chosen by more than 5% of the students. Based on these results, the analyzed AKM IPA instrument has good item quality and is suitable for measuring the abilities of elementary school students.
Development of Semester Final Examination (UAS) Test Instruments Based on Higher Order Thinking Skills (HOTS) in the IPAS Subject for Fourth Grade Elementary School Nisrayanti Nisrayanti; Baso Intang Sappaile; Mansyur Mansyur
Edusoshum : Journal of Islamic Education and Social Humanities Vol. 6 No. 2 (2026)
Publisher : Ikatan Cendikiawan Ilmu Pendidikan Islam (ICIPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52366/edusoshum.v6i2.392

Abstract

This research aims to develop a Semester Final Examination (UAS) test instrument based on Higher Order Thinking Skills (HOTS) for the IPAS subject in the 4th grade of Elementary School. The background of this research is the still low ability of students' higher-order thinking, caused by the dominance of Lower Order Thinking Skills (LOTS) based questions in learning evaluation. Therefore, it is necessary to develop an assessment instrument that can measure students' critical thinking, analytical, and problem-solving abilities. This research uses the Research and Development (R&D) method with a development model that includes the stages of needs analysis, design, product development, expert validation, testing, and product revision. Validation was conducted by 2 validators consisting of subject matter experts and evaluation experts, while the instrument trial was carried out on 30 fourth-grade elementary school students. The validation results showed that the instrument received a very valid category with a feasibility percentage of 89%, while the reliability results indicated a reliability coefficient of 0.87 with a high category. The developed instrument consists of HOTS-based UAS questions on the IPAS material for fourth-grade elementary school students and is deemed suitable for use after undergoing the validation and revision process. This instrument is also deemed capable of measuring students' higher-order thinking skills more effectively compared to conventional instruments. The main contribution of this research is to produce a valid, reliable, and practical HOTS-based evaluation instrument to improve the quality of IPAS learning assessments in elementary schools.
ANALYSIS OF DIFFERENTIAL ITEM FUNCTIONING (DIF) IN THE FINAL SCHOOL ASSESSMENT INSTRUMENT FOR THE CHEMISTRY SUBJECT Sangkala Maros; Mansyur Mansyur; Iwan Suhardi
JURNAL EDUSCIENCE Vol 13, No 2 (2026): Jurnal Eduscience (JES), (Authors from Malaysia and Indonesia)
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jes.v13i2.7781

Abstract

Purpose – Fair assessment is a fundamental pillar for ensuring that evaluation results accurately reflect students' abilities without bias. This study aims to identify Differential Item Functioning (DIF) in the Final School Assessment (PAS) instrument for the Chemistry subject, based on four demographic variables: gender, family economic status, residential location, and school of origin.Methodology – This study uses a quantitative design with a descriptive-exploratory approach. The research subjects were responses from 1,840 twelfth-grade students at high schools in Maros Regency. Data analysis was conducted using an Item Response Theory (IRT) approach in R (version 2024.4.2, Build 764). After assumption tests (unidimensionality and local independence) and a model fit test, the 1-Parameter Logistic (1PL) Model was selected as the most suitable. DIF detection was performed using Raju’s Area Measures.Findings – The analysis results showed that the assumptions of unidimensionality and local independence were met. Out of 30 items, five showed statistically significant DIF (p < 0.05): one item based on gender (Item 11), one based on residential location (Item 26), and three based on economic status (Items 19, 23, and 24). No items showed DIF by school of origin. Although statistically detected, the effect size analysis showed that all DIF items fell into Category 'A' (negligible) according to ETS criteria.Contribution – This study provides empirical evidence regarding the fairness of an assessment instrument developed by a teacher association (MGMP). It highlights how non-academic factors can manifest as measurable differences in performance. This study affirms the importance of DIF analysis as a standard procedure in the quality assurance of assessment instruments to maintain fairness for all students.
Implementing a Web-Based Alumni Information System to Strengthen Data Governance in Secondary Education Riska Kherani; Akbar Iskandar; Mansyur Mansyur; Nurhalisa Nurhalisa; Kumar Vivek
Jurnal Abdimas Cendekiawan Indonesia Vol. 2 No. 3 (2025): September
Publisher : Yayasan Cendekiawan Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jaci.v2i3.145

Abstract

The growing demand for transparent, accurate, and participatory data governance in secondary education has exposed limitations in conventional alumni data management practices in many senior high schools, particularly those that rely on manual records or fragmented digital files. This article reports on the design and implementation of a web-based alumni data management information system developed as a community service-based applied study to support institutional efficiency and alumni engagement. The system development process was informed by a needs assessment involving school administrators and alumni, with data collected through direct observation, semi-structured interviews, and questionnaires. System functionality was evaluated using Black Box Testing to verify compliance with predefined operational requirements. The implementation involved a single senior high school as the institutional partner, with administrative users and alumni as the primary system users. Functional testing results confirmed that all core modules, authentication, alumni data management, information dissemination, and data reporting, operated as intended without critical errors. The system enabled real-time data updating and reduced administrative dependency on physical presence, indicating improved operational efficiency and data accessibility. From a broader perspective, this study contributed a replicable community-oriented model for implementing alumni information systems in secondary education, demonstrating how web-based platforms can strengthen institutional alumni interactions and support digital transformation agendas across diverse educational contexts.
UNIVERSITY STUDENTS’ PERCEPTIONS OF AI-INTEGRATED FLIPPED CLASSROOM IN ELT Andi Mir’atul Jannah; Afifatul Mar’ah; La Sunra; Mansyur Mansyur; Nur Aeni
KLASIKAL : JOURNAL OF EDUCATION, LANGUAGE TEACHING AND SCIENCE Vol 8 No 1 (2026): Klasikal: Journal of Education, Language Teaching and Science
Publisher : Fakultas Keguruan dan Ilmu Pendidikan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52208/klasikal.v8i1.1715

Abstract

This study examines the growing integration of artificial intelligence (AI) in English Language Teaching (ELT), particularly in flipped classroom environments, and explores how students perceive its use in higher education. A qualitative case study design was employed to gain an in-depth understanding of students’ experiences in an AI-supported flipped classroom setting. Data were collected through semi-structured interviews and analyzed using thematic analysis. The findings reveal that AI serves as an effective support tool for pre-class learning, enabling students to understand materials by summarizing texts, simplifying complex explanations, and improving vocabulary comprehension. Additionally, integrating AI enhances students’ Engagement, learning readiness, motivation, and curiosity, as students become more active in classroom discussions after preparing in advance. However, several challenges were identified, including inaccuracies in AI-generated information, the need for verification, overreliance on AI tools, and technical limitations. In conclusion, while AI-integrated flipped learning offers meaningful opportunities to support independent and active learning, its implementation requires responsible, critical use. These findings provide practical insights for educators in designing effective AI-supported flipped classrooms in higher education.