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The Development of ECIRR Learning Model Containing Archipelago Local Wisdom on Mechanics Topic Lutfiyanti Fitriah; Akhmad Firdaus; Dahlia Dahlia; Septiana Septiana
Jurnal Ilmiah Pendidikan Fisika Vol 7, No 2 (2023)
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jipf.v7i2.7640

Abstract

This study aimed to develop an ECIRR (Elicit, Confront, Identify, Resolve, and Reinforce) learning model containing Indonesian local wisdom on mechanics in Fundamental Physics lectures. The type of research was Research and Development with the ADDIE model. The number of samples in this study was 28, chosen by purposive sampling. The instruments of this research were validation sheets, observation sheets, and response questionnaires. Data analysis used the Aiken formula and descriptive statistics. Based on the results of the study, it was known that the validity of the content of the learning model was 1.00 with a valid category; the average implementation of lecturer activities was 4.56 with a very good category; the average implementation of student activities was 4.36 with a very good category; and the student response to the model was good. This research concluded that the learning model developed was valid, can be implemented in lectures, and gets a good response from students. Thus, the learning model that has been developed can be used on the topic of mechanics in Fundamental Physics lectures.
Students’ Response to the ECIRR Learning Model Containing Local Wisdom on Linear Motion Topic Lutfiyanti Fitriah; Akhmad Firdaus; Dahlia Dahlia; Septiana Septiana; Ani Cahyadi
Journal of Mathematics Science and Computer Education Vol 3, No 1 (2023)
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jmscedu.v3i1.8468

Abstract

This research aimed to describe students' responses to the ECIRR learning model that contained Nusantara's local wisdom on the topic of linear motion and to describe the implementation of the learning model during trials in small groups. The type of this research and development was ADDIE. The subjects of the small group were ten students who learned Fundamental Physics. The data instruments were response questionnaires and observation sheets. The data analysis technique was descriptive statistics. Based on the data analysis, it was known that the students gave a positive response to the developed learning model. In addition, implementing the learning model in lectures was very good. Thus, it can be concluded that the ECIRR learning model containing local wisdom can be used in the Fundamental Physics lecture on linear motion.
Pembuatan Alat Deteksi Gas Berbasis Arduino Menggunakan Sensor Gas MQ-6 dan MQ-3 Akhmad Firdaus; Ummi Rahmiatun; Suryandari
Al Kawnu : Science and Local Wisdom Journal Vol. 3 No. 1 (2023): Oktober
Publisher : Tadris Biologi, Tadris Fisika, and Tadris Kimia, Universitas Islam Negeri Antasari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18592/ak.v3i1.8560

Abstract

Penelitian ini memiliki dua tujuan, yaitu: 1) Untuk merancang dan membuat alat pendeteksi gas yang menggunakan Arduino dan dua buah sensor gas, MQ-3 dan MQ-6. 2) Untuk mengetahui pengaruh dari jenis gas dan konsentrasinya terhadap waktu deteksi gas pada jarak yang sama dan pada ruangan tertutup dengan suhu ruang. Metodologi yang digunakan pada penelitian ini adalah metode eksperimen, dengan jenis eksperimen, yaitu eksperimen lapangan. Pengumpulan data hasil pengamatan akan dilakukan dengan cara pengujicobakan alat tersebut dengan sumber gas, pada penelitian menggunakan gas LPG, dan gas Alkohol. Hasil yang diperoleh ialah penelitian telah berhasil merancang dan membuat alat pendeteksi gas berbasis Arduino yang berfungi dengan cukup baik saat alat dibuat. Ketika dilakukan pengujicobaan menggunakan gas LPG pada jarak 5 cm dari sumber gas, alat berekasi dengan menyalanya LED merah dan berbunyi buzzer, alat mendeteksi adanya gas dalam waktu 3 detik, dengan konsentrasi gas yang terdeteksi sebesar 70 ppm. Akan tetapi, ketika menggunakan gas alkohol, alat tidak menunjukkan reaksi apapun. Sehingga, dapat disimpulkan bahwa, peneliti berhasil merancang dan membuat alat pendeteksi gas menggunakan Arduino dan sensor gas MQ-3 dan MQ-6, akan tetapi ada error pada sensor MQ-3.  Konsentrasi gas berpengaruh terhadap waktu deteksi dari alat pendeteksi gas ini.