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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) JFA (Jurnal Fisika dan Aplikasinya) Jurnal Manajemen Pelayanan Publik INDONESIAN JOURNAL OF APPLIED PHYSICS Kumawula: Jurnal Pengabdian Kepada Masyarakat Jurnal Fisika Indonesia Indonesian Journal of Electrical Engineering and Computer Science Jurnal Pengabdian Masyarakat Bhinneka Jurnal Pengabdian Masyarakat Bangsa Journal of Environment and Sustainability Education Proceeding of International Conference on Biology Education, Natural Science, and Technology
Anif Jamaluddin
Program Studi Fisika Fakultas Keguruan Dan Ilmu Pendidikan, Jurusan Fisika, FMIPA, Universitas Sebelas Maret Surakarta, Jl. Ir. Sutami No. 36 A, Surakarta 57126
Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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IoT-based mobile data acquisition for pH and temperature monitoring as an enrichment material for high school energy transformation book Hidayah, Amalia; Firmansyah, Maulana; Rahardjo, Dwi Teguh; Jamaluddin, Anif
Journal of Environment and Sustainability Education Vol. 4 No. 2 (2026)
Publisher : Education and Development Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62672/joease.v4i2.123

Abstract

Monitoring pH and temperature is critical in various fields, yet integrating such technical concepts into high school education remains a challenge. This study aims to develop and validate an IoT-based mobile data acquisition system as a practical case study for an enrichment book on the topic of energy transformation for high school students. Using a Research and Development (R&D) approach, an IoT device consisting of a pH sensor, a K-type thermocouple, and a NodeMCU ESP8266 was built. An accompanying enrichment book was developed using Canva and Heyzine Flipbook. The IoT system demonstrated good accuracy, achieving R² values for pH measurement of 0.9526 (acidic) and 0.8843 (basic). The enrichment book was validated by experts and practitioners, receiving high feasibility ratings of 92.58% and 83.01%, respectively. These findings indicate that the developed enrichment book is a highly feasible supplementary teaching resource. This study demonstrates the significant potential of integrating hands-on IoT projects into science curricula to enhance students' understanding of abstract concepts like energy transformation.
Graphene as an Active Material for Supercapacitors: A Machine Learning Approach Jamaluddin, Anif; Nursanti, Annisa Dwi; Nur'aini, Anafi; Putri, Rekyan Regasari M; Arshad, Muhammad Usama
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 13, No 2 (2023): October
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v13i2.76678

Abstract

Graphene is a promising material for supercapacitors due to its unique properties, which influence the device's supercapacitor. This study aims to investigate the key factor of graphene properties in supercapacitors (, with the goal of improving their performance. Also, we observe the machine learning models for predicting capacitance of supercapacitor including four algorithms of machine learning: Linear Regression (LR), lazy IBK, Decision Table (DT), and Random Forest (RF). Machine learning model showed that the RF model demonstrated the highest correlation value of 0.745, surpassing other models. Also, the study revealed that graphene has a high specific surface area and highly porous structure, which enhanced the high capacitance values. Finally, these machine learning models are suitable to apply in materials sciences field for understanding the materials properties in supercapacitor.
Co-Authors Agus Purwanto Agus Supriyanto Anafi Nur’aini Arif Jumari Arifa, Aulia Arshad, Muhammad Usama Berlian Berlian D.P. Sasongko Danang Purwanto Dewanto Harjunowibowo Dewanto Harjunowibowo Dimas Rahadian Aji Muhammad, Dimas Rahadian Aji Dwi Teguh Rahardjo Dwi Teguh Rahardjo Edy Wiyono Fildhaz Khairina Nisa Firmansyah, Maulana Fita Listiana Hidayah, Amalia Lita Rahmasari Lita Rahmasari Meisya Istiqomah Nugroho, Lilik Andre Nugroho, Panji Setyo Nugroho, Rino Ardhian Nur'aini, Anafi Nursanti, Annisa Dwi Prakoso, Septyanto Galan Prasetyawati, Farah Yuki Pratiwi Restu Murti, Pratiwi Restu Putri, Rekyan Regasari M R. Gernowo Ramona Safitri, Ramona Rosita Novi Andari, Rosita Novi Santika, Yuriz Ananda Santosa, Fajar Julian Sri Budiawanti Subarwanti, Yunita Suharno Suharno Sukarmin, S Syamsuddin, Frendi Ihwan Ulwan, Rozin Fata W. Sulistya Wahyudi Wahyudi Wallang, MUslimin Wardani, Raden Roro Ilma Kusuma Widiyanto Widiyanto Yofentina Iriani Yofentina Iriani Yofentina Iriani Yulianto Agung Rezeki