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Optimalisasi Karbon Aktif Berbasis Bonggol Jagung untuk Pengelolaan Limbah Logam Berat Pb dan Mn Irawan, Nisya Indriyanti; Afifah, Reny; Nadira, Ainun; Suparno, Suparno
Jurnal Ilmu Lingkungan Vol 23, No 4 (2025): July 2025
Publisher : School of Postgraduate Studies, Diponegoro Univer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jil.23.4.1029-1036

Abstract

Pencemaran lingkungan oleh limbah logam berat, seperti timbal (Pb) dan mangan (Mn), merupakan isu krusial yang berdampak signifikan pada ekosistem dan kesehatan manusia. Untuk mengatasi masalah ini, penelitian ini bertujuan untuk mengoptimalkan pembuatan karbon aktif berbahan dasar bonggol jagung melalui variasi jenis aktivator (asam sulfat, H₂SO₄, dan kalium hidroksida, KOH) dan konsentrasi (1M, 2M, 3M) guna meningkatkan efisiensi adsorpsi Pb dan Mn. Bonggol jagung dikarbonisasi menggunakan metode pembakaran tertutup (teknik Earth pit-kiln) dan selanjutnya diaktivasi dengan larutan aktivator tersebut. Karakteristik karbon aktif yang dihasilkan dianalisis berdasarkan kadar air, kadar abu, dan efisiensi adsorpsi menggunakan spektrofotometer serapan atom (SSA). Hasil penelitian menunjukkan bahwa karbon aktif yang diaktivasi dengan KOH memiliki kadar air lebih rendah dan efisiensi adsorpsi yang lebih tinggi dibandingkan dengan H₂SO₄, terutama untuk Mn yang lebih sulit diadsorpsi. Karbon aktif dengan konsentrasi KOH 2M menunjukkan performa terbaik, mencapai efisiensi adsorpsi Pb sebesar 96,93% dan Mn sebesar 98,41%. Studi ini menyimpulkan bahwa aktivasi basa menggunakan KOH menghasilkan karbon aktif dengan kualitas dan efisiensi adsorpsi yang lebih unggul dibandingkan aktivasi asam menggunakan H₂SO₄ untuk penanganan limbah Pb dan Mn.
DEVELOPMENT OF GAS KINETIC THEORY LEARNING TOOLS: 5E & BRICK MAKING FOR COMPUTATIONAL THINKING Ni'mah, Ayu Mar'ati Barokatun; Jumadi, Jumadi; Afifah, Reny; Supahar, Supahar
EduFisika: Jurnal Pendidikan Fisika Vol 10 No 3 (2025): EduFisika: Jurnal Pendidikan Fisika Volume 10 Nomor 3 December 2025
Publisher : Program Studi Pendidikan Fisika FKIP Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59052/edufisika.v10i2.45367

Abstract

This research aims to (1) develop feasible learning tools for the kinetic theory of gases and (2) create effective physics learning tools for students. The research employs the ADDIE model. The data analysis to evaluate the feasibility and practicality of the learning tools uses a standard scale, while the validity of the question instrument is assessed using Aiken's V and item analysis with the Partial Credit Model (PCM). To measure the effectiveness of the tools in enhancing students' computational thinking skills, a repeated-measures MANOVA is conducted using the General Linear Model (GLM) with a significance level of 0.05. The findings indicate that (1) the developed learning tools are deemed feasible for use in improving computational thinking skills, as assessed by media experts, material experts, and practitioners. Moreover, (2) the analysis shows a significance value of 0.000 < 0.05, meaning there is a noticeable difference in computational thinking abilities between the experimental and control groups. Additionally, the effect size obtained was 0.813, which is categorized as large. These results suggest that the learning tools developed are both feasible and effective. In conclusion, this research demonstrates the potential of these tools to enhance students' computational thinking abilities in physics education, specifically in the context of the kinetic theory of gases, making them a valuable resource for future learning activities.
Pengembangan Tes Diagnostik Kognitif Berbasis Distraktor (DB-CDT) pada Materi Termodinamika untuk Mendeteksi Keterampilan Literasi Data Siswa SMA Supahar; Ni’mah, Ayu Mar’ati Barokatun; Afifah, Reny; Larasati, Putri Edryna
Jurnal Penelitian Pendidikan IPA Vol 12 No 2 (2026): In Progress
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i2.13899

Abstract

This study addresses the lack of specialized diagnostic instruments capable of pinpointing specific cognitive failures in physics data literacy, particularly within Thermodynamics. To bridge this gap, a Distractor-Based Cognitive Diagnostic Test (DB-CDT) was developed and validated for eleventh-grade high school students in Yogyakarta. Utilizing a Research and Development (R&D) approach with the ADDIE framework, the instrument was built upon the DINA (Deterministic Input, Noisy-AND Gate) cognitive diagnostic model. Expert validation by three specialists yielded an excellent average V-Aiken value of 1.00. Empirical testing on a sample of 540 students across high, medium, and low-tier schools confirmed high psychometric quality: an average INFIT MNSQ of 1.00 (within the 0.77–1.30 range), item difficulty between -2 and +2, and high reliability (0.92). DB-CDT distinguishes itself by using a Q-Matrix to link specific distractors to cognitive errors, such as failures in sign conversion or process interpretation. Analysis of student profiles revealed that the experimental group—utilizing targeted diagnostic feedback—achieved superior mastery in analyzing (96.6%) and interpreting data (90%), whereas the control group, receiving conventional assessment, struggled significantly with inference and synthesis. Theoretically, this research advances the application of Cognitive Diagnostic Models in physics education. Practically, it provides educators with a sensitive tool to profile individual student weaknesses, allowing for more focused instructional interventions in complex scientific topics.