Open access Journal
Development of an IoT-Based Solar Power Plant (PLTS) Experimental Kit as a CPS–STEM Learning Media in Junior High School
Jurnal Phi : Jurnal Pendidikan Fisika dan Fisika Terapan · Vol. 12 No. 2 (2026) · pp. 265–276
- ISSN
- 2549-7162, 2460-4348
- Published
- 2026-06-15
- Publisher
- Universitas Islam Negeri Ar-Raniry
- Language
- eng
Abstract
Science learning in junior high schools is still dominated by abstract and teacher-centered approaches, failing to realize the principles of pedagogical Deep Learning, which emphasizes mindful, meaningful, and joyful student understanding. This study aimed to develop an Internet of Things (IoT)-based Solar Power Plant (PLTS) experiment kit as a valid, practical, and effective Creative Problem Solving–STEM learning media. The study employed a 4D development model (Define, Design, Develop, Disseminate) with a one-group pretest-posttest design. The developed product consisted of solar panels, a Solar Charge Controller, a battery, and an inverter, integrated with an ESP32-based IoT module, relays, sensors, and the Telegram Bot platform. Validation was conducted by five experts using the Content Validity Index (CVI). The research subjects were 104 ninth-grade students at SMP Negeri 02 Semendawai Timur. The results showed that the IoT-based PLTS experiment kit was highly valid (CVI = 0.90) and very practical, with an average learning implementation of 84.75% and a positive student response of 89.03%. Furthermore, the kit was effective in improving students' Creative Problem Solving abilities, achieving an N-gain value of 0.53 (moderate category). This IoT-based PLTS experiment kit provides a learning experience that aligns with the demands of Industrial Revolution 4.0 and the principles of holistic educational Deep Learning.
Keywords
Collaboration network of the authors
38 authors · 113 co-authorship links · 1 across different organisations
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Sriwijaya University
- Indonesia University of Education
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Ismet Ismet | Affiliation unknown | 3 |
| Meilinda Meilinda | Indonesia University of Education | 2 |
| Nyimas Aisyah | Sriwijaya University | 2 |
| Jaidan Jauhari | Affiliation unknown | 2 |
| Meuretta Alawiyah Pulungan | Affiliation unknown | 2 |
| Mashuri Mashuri | Affiliation unknown | 1 |
| Amin Suyitno | Affiliation unknown | 1 |
| Jefri Marzal | Affiliation unknown | 1 |
| Mauladi Mauladi | Affiliation unknown | 1 |
| Sophia Rahmawati | Affiliation unknown | 1 |
| Aprillitzavivayarti Aprillitzavivayarti | Affiliation unknown | 1 |
| Yahfenel Evi Fussalam | Affiliation unknown | 1 |
| Resi Silvia | Affiliation unknown | 1 |
| Dani Sartika | Affiliation unknown | 1 |
| Sariya Melati | Affiliation unknown | 1 |
| Sukartini Sukartini | Affiliation unknown | 1 |
| Bambang Hariyanto | Affiliation unknown | 1 |
| Riry Prihatini | Affiliation unknown | 1 |
| Eliza Mayura | Affiliation unknown | 1 |
| Sary Silvhiany | Affiliation unknown | 1 |
| Cecil Hiltrimartin | Affiliation unknown | 1 |
| Wahyu Indra Bayu | Affiliation unknown | 1 |
| Hapizah Hapizah | Affiliation unknown | 1 |
| Ratu Ilma Indra Putri | Affiliation unknown | 1 |
| Zulkardi Zulkardi | Affiliation unknown | 1 |
| Mardiah Afifa | Affiliation unknown | 1 |
| Anisya Sefina Puteri | Affiliation unknown | 1 |
| Zainuddin Nawawi | Sriwijaya University | 1 |
| Sukemi Sukemi | Affiliation unknown | 1 |
| Meily P Agustini | Affiliation unknown | 1 |
| Muhammad Rama Almafie | Affiliation unknown | 1 |
| Yuda Prasetya Nugraha | Affiliation unknown | 1 |
| Meutia Kamilatun Nuha Ap Idjan | Affiliation unknown | 1 |
| Rosdiana Rosdiana | Affiliation unknown | 1 |
| Hamdi Akhsan Akhsan | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.