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Bagaimanakah Dampak Analisis Kebutuhan Dasar Siswa Terhadap Hasil Belajar Siswa di SMA Islam NU Pujon pada Mata Pelajaran Kimia? Munfarikha, Ninik; Zuhria, Viki Arina; Islam, Rukmana Fachrul; Weri, Firda; Sahar, Adnan; Obina, Wilfrida Mayasti
Indo-MathEdu Intellectuals Journal Vol. 5 No. 6 (2024): Indo-MathEdu Intellectuals Journal
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/imeij.v5i6.2159

Abstract

A safe and comfortable school is a school that is able to foster students' intrinsic motivation through a positive culture, namely by meeting the basic needs of students as the basis for determining an appropriate learning model to get learning outcomes that meet the KKM. This study aims to determine the impact of the analysis of students' basic needs on the achievement of learning outcomes, especially in chemistry subjects at SMA Islam NU Pujon. The sample of the basic needs analysis research is 398 students of NU Pujon Islamic High School for the 2024/2025 school year and the research sample for student learning outcomes for chemistry subjects is classes XI-4 and XII-2 with a mixed method explanatory design research method. The results of the study were obtained that the results of the analysis of the basic needs of NU Pujon Islamic High School students for the 2024/2025 school year with the need for pleasure 25.7%, the need for affection and acceptance 25.4%, the need for freedom 23.5%, and the need for power 25.4%. The average student learning outcomes for chemistry subjects were obtained in class Xl-4 of 77.9 and XII-2 of 79.22. The findings showed that the learning outcomes of students for Chemistry in the two classes were above the school KKM
Improving Students’ Narrative Writing Quality through Structured Visual Mapping: A Quasi-Experimental Study Rukmana Fachrul Islam; Armisari Armisari; Natalia Manuhutu
ELS Journal on Interdisciplinary Studies in Humanities Vol. 8 No. 4 (2025): DECEMBER
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34050/els-jish.v8i4.48253

Abstract

This study examines the effectiveness of Structured Visual Mapping as a prewriting strategy to enhance the narrative writing quality of senior high school EFL learners in Indonesia. Many students face challenges in developing ideas, organizing narrative elements, and applying appropriate vocabulary and grammar when composing narrative texts. Using a quasi-experimental design, 60 eleventh-grade students from SMA Negeri 1 Marioriwawo were divided into an experimental group taught using Structured Visual Mapping and a control group taught through conventional instruction. Pretests and posttests were administered, and students’ writing performance was assessed using the ESL Composition Profile. The results show that the experimental group achieved significantly higher improvement across all five writing components, with a mean gain of 9.3 compared to 1.9 in the control group. The posttest t-test value (t = 2.024 > 2.000) confirmed that the intervention had a significant effect on students’ writing performance. These findings indicate that Structured Visual Mapping effectively supports students in generating ideas, sequencing narrative structure, and improving lexical and grammatical accuracy. This study recommends integrating Structured Visual Mapping into narrative writing instruction and suggests further exploration of its application in other writing genres or digital learning contexts.
TRANSFORMING TRADITIONAL TEACHING MODELS WITH ARTIFICIAL INTELLIGENCE: INNOVATIONS IN EDUCATION Pahmi Pahmi; Nour Ibrahim; Rukmana Fachrul Islam
Al-Hijr: Journal of Adulearn World Vol. 5 No. 1 (2026)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/alhijr.v5i1.1212

Abstract

The rigidity of traditional standardized education often fails to address the diverse cognitive needs of modern learners, necessitating a paradigm shift toward more adaptive instructional models. This study investigates the transformative potential of integrating Artificial Intelligence (AI) into secondary curricula to facilitate the transition from mass instruction to personalized pedagogy. Utilizing a mixed-methods quasi-experimental design, we evaluated the academic and operational impact of an AI-driven adaptive learning framework on a cohort of 600 students and 30 educators over a twelve-week intervention. The research benchmarked an AI-augmented experimental group against a control group receiving traditional direct instruction using standardized assessments and telemetry data. Empirical results demonstrate that the AI-integrated model yielded a statistically significant 11.4% increase in concept mastery (p<0.001) and substantially compressed the achievement gap within the classroom. Furthermore, the automation of administrative tasks reclaimed five hours of weekly instructor time, facilitating a strategic redistribution of labor toward high-value mentorship. We conclude that AI acts as a critical force multiplier that does not replace the teacher but fundamentally restructures the instructional core, validating a “Symbiotic Intelligence” approach that couples machine efficiency with human empathy to optimize educational outcomes.