Claim Missing Document
Check
Articles

Pengembangan smart box berbasis digital dengan memanfaatkan arduino uno sebagai sumber belajar fisika Teguh Santoso; Riswanto Riswanto; Nyoto Suseno; Moh. Irma Sukarelawan
Berkala Fisika Indonesia : Jurnal Ilmiah Fisika, Pembelajaran dan Aplikasinya Vol. 13 No. 2 (2022)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/bfi-jifpa.v13i2.22809

Abstract

Pertumbuhan penduduk dan peningkatan kebutuhan konsumsi hidup masyarakat berdampak terhadap tingginya produksi sampah. Kebiasaan masyarakat yang membuang sampah sembarangan dapat berakibat buruk terhadap kesehatan dan lingkungan. Solusi yang dapat diberikan untuk dapat mengatasi masalah ini yaitu dengan memberikan tindakan kuratif dan tindakan preventif. Kotak sampah, kerap menjadi salah satu alasan untuk membuang sampah pada tempatnya. Maka dibutuhkan kotak sampah yang dapat mempermudah dalam membuang sampah. Oleh karena itu, dikembangkan kotak sampah pintar atau smart box berbasis digital dengan memanfaatkan mikrokontroler Arduino uno. Smart box dikembangkan menggunakan sensor HC-SR04. Kotak sampah didesain dengan prinsip kerja kotak sampah dapat terbuka dan menutup secara otomatis ketika seseorang membuang sampah. Selain itu, tujuan pengembangan kotak sampah ini dapat dimanfaatkan sebagai sumber belajar fisika dalam penerapan sensor ultrasonik. Penelitian ini menggunakan metode pengembangan model ADDIE. Hasil penelitian menunjukan bahwa smart box berbasis digital dinyatakan sangat layak dengan persentase kelayakan 89%. Sedangkan dari sisi hasil pemanfaatan sebagai sumber belajar fisika, respon pengguna dari guru dan siswa memiliki persentase sebesar 89% dengan kriteria sangat baik. Development of a digital-based smart box by utilizing Arduino Uno as a physics learning resource. Population growth and increasing consumption needs of people's lives impact high waste production. People's habit of littering can have a negative impact on health and the environment. The solution that can be given to overcome this problem is to provide curative and preventive measures. Trash boxes are often one of the reasons to throw trash in its place. So we need a trash box that can make garbage disposal easier. Therefore, a digital-based smart box or smart box was developed by utilizing the Arduino Uno microcontroller. The smart box was developed using the HC-SR04 sensor. The trash box is designed with the working principle that the trash box can open and close automatically when someone throws out the trash. In addition, the purpose of developing this garbage box can be used as a source of learning physics in the application of ultrasonic sensors. This study uses the ADDIE model development method. The results showed that the digital-based smart box was declared very feasible, with a feasibility percentage of 89%. Meanwhile, regarding the results of utilization as a source of learning physics, user responses from teachers and students have a percentage of 89% with very good criteria.
Academic Supervision and GROW Coaching Model Implementation in Junior Secondary Science Teaching Vikto Agus Wibowo; Rosmawati Rosmawati; Nyoto Suseno; Agus Sujarwanta
Jurnal Studi Multidisiplin Ilmu Vol 4 No 1 (2026): Januari
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jasmi.v4i1.7129

Abstract

Purpose: This study evaluates academic supervision combined with the Goal Reality Options Will (GROW) coaching model for a junior secondary science teacher, describing how supervision and coaching jointly support instructional quality and identify barriers to classroom conducivity.Methodology: A descriptive case study was conducted at SMPN 4 Mesuji, Lampung, involving one science teacher and one grade VIII class during a Problem Based Learning (PBL) lesson on the human digestive system, using a lesson-plan checklist, an observation instrument, a coaching-practice rubric, a structured interview, and the GROW coaching protocol, analyzed descriptively through instrument scoring formulas.Results: The learning-process observation instrument recorded 42 fully implemented indicators, 3 partially implemented, and 1 not implemented, producing a raw score of 89 and a final score of 94.7, categorized as very good. The coaching-practice rubric produced 19 of 20 possible points, equivalent to a final score of 95, also categorized as very good. Interview and GROW coaching data revealed classroom conducivity and unattractive instructional media as the dominant obstacles, with Canva-based media redesign proposed as corrective action.Conclusions: Supervision paired with GROW coaching effectively surfaces actionable instructional problems even when overall teaching performance is already rated very good. Limitations: Findings rest on a single teacher and single lesson observation, limiting generalization.Contributions: The study offers a replicable supervisioncoaching protocol and scoring framework for science teacher development in similarly resourced schools.
Co-Authors AA Sudharmawan, AA Achyani Afifah, Febi Agus Sujarwanta, Agus Agus Sutanto Agus Wibowo Al Arifin, Dedy Hidayatullah AM, Juhri Aminin, Sudirman Andriani, Sima Anisa, Latifatu Ardianto, Ahmad Arif Rahman Aththibby Avandi, Nanang Bayu Triatmojo Budiyatno Dasrieny Pratiwi, Dasrieny Dedy Hidayatullah Dedy Hidayatullah Al Arifin Dedy Hidayatullah Alarifin Dina Octora Sastaviana Dini Anggraini, Dini Eka Yuli Sari Asmawati Eko Prihandono Enni Maria estika prameswari Fadli, Muhammad Rijal Fajri, Gina Lailatul Farista, Sendi Fenny Theresia Fitri Ana Sari Friska Cahyati Friska Cahyati, Friska Friska Octavia Rosa Hajiah Lika Yunianti Handayani, Sri Harlinda Syofyan Hifni Septina Carolina Hifni Septina Carolina, Hifni Septina I Gede Rasagama I Wayan Ochha Widiartha Krisna Saputra Kurniasih, Yuliana Kurniati Kurniati Lakon Wahono Lakon Wahono Lestari, Widya Anggun Luthfia Azizah M. Barkah Salim M. Ihsan Dacholfany Maria, Enni Moh. Irma Sukarelawan Nedi Hendri Novita Intan Kusuma Nurma Meinda Ira Saputri Octavia Rosa, Friska Purwaningsih Purwaningsih Purwiro Harjati Puspitawati Puspitawati Putra, Dian hartanto Setya Riswanto ., Riswanto Riswanto Riswanto Rosida, Oknisa Nur Rosmawati Rosmawati Saputri, Anggun Saputri Sari, Fitri Ana Sariyati, Eka Siti Nuraini Sodiq, Nur Ali Supriyadi Supriyadi Sutejo Sutejo Sutejo Sutejo Teguh Santoso Theresia, Fenny Tri Yuliani, Tri Triatmojo, Bayu Utama Hartanto Setya Putra, Dian Wahyu Ningsih Wahyudi . Wahyudi . Wahyuningrum, Tri Wari Prastiti, Wari