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All Journal Unram Journal of Community Service (UJCS) Priviet Social Sciences Journal Jurnal Pendidikan dan Pengabdian Masyarakat
Erlin Eveline
Universitas Pattimura
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Translation and validation of student attitude assessment instrument towards science learning Erlin Eveline; Hiba Dertyana Siregar; Rindah Permatasari
Priviet Social Sciences Journal Vol. 5 No. 11 (2025): November 2025
Publisher : Privietlab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55942/pssj.v5i11.680

Abstract

Adapting research instruments presents challenges, as incorrect adaptation can affect the validity and reliability of the measurement. The study aims to adapt an instrument that is available in different languages. The adapted instrument is designed to assess students’ attitudes towards science learning in the classroom. The use of adapted research instruments with other cultures or across cultures affects the results obtained. The method used is back-end translation, followed by a pilot test of the translated instrument with respondents. Back-end translation was performed by translating the original instrument from English to Indonesian. The pilot test was conducted on 85 high school students. The instrument is considered equivalent if there are similarities or if the results of the validity and reliability tests are not significantly different from those of the original instrument. The results of the analysis of the adapted instrument show that it is valid and reliable. Compared with the original instrument, the instrument yielded results similar to those of the original version. These results suggest that the instrument is both equivalent and suitable for assessing students' attitudes towards science learning. The instrument adaptation method can be considered successful.
Inovasi Pembelajaran Fisika: Sinergi Guru Abad 21 dan Teknologi AI Dalam Rangka Pengembangan Profesional Dosen, Guru, dan Calon Guru di Indonesia Timur Gunawan Gunawan; Seska Malawau; Erlin Eveline; Hikmawati Hikmawati; Lisa Sutami Suharlan; Baiq Nabila Saufika Zainuri
Jurnal Pendidikan dan Pengabdian Masyarakat Vol. 9 No. 2 (2026): Mei
Publisher : FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppm.v9i2.4408

Abstract

Pengabdian kepada masyarakat ini bertujuan untuk meningkatkan pemahaman dan keterampilan dosen, guru fisika, serta mahasiswa calon guru mengenai inovasi pembelajaran fisika yang relevan dengan tantangan Abad 21, khususnya melalui sinergi antara peran guru dan pemanfaatan teknologi kecerdasan buatan (AI). Kegiatan kolaboratif ini diselenggarakan secara daring pada Senin, 11 Mei 2026, melibatkan partisipasi aktif dari 100 peserta yang terdiri dari perwakilan Universitas Mataram (Lombok) dan Universitas Pattimura (Ambon). Sesi kuliah umum ini mencakup pembukaan, penyajian materi "Inovasi Pembelajaran Fisika: Sinergi Guru Abad 21 dan Teknologi AI", sesi tanya jawab interaktif, dan evaluasi. Hasil evaluasi kuantitatif menunjukkan tingkat kepuasan dan penerimaan yang sangat tinggi dari peserta terhadap relevansi materi, kualitas penyampaian, dan kelancaran penyelenggaraan, dengan rata-rata skor pada kategori "Sangat Setuju". Secara kualitatif, antusiasme peserta tercermin dari diskusi yang hangat dan banyaknya pertanyaan, serta harapan kuat untuk tindak lanjut kegiatan yang lebih teknis dan praktis. Kegiatan ini terbukti efektif dalam meningkatkan wawasan peserta tentang potensi AI dalam pembelajaran fisika dan memotivasi mereka untuk mengaplikasikannya, sambil tetap menekankan peran AI sebagai alat bantu untuk memperkuat kualitas instruksional.
Strengthening Teachers’ Competence in Developing Diagnostics Tests for Learning Erlin Eveline; Herman S. Wattimena; Heppy Sapulate; John Rafafy Batlolona; Gazali Rachman; David Tuhurima; Cicylia Triratna Kereh; Marasi Bless Suryan; Anastasija Limba; Juliana Nirahua
Unram Journal of Community Service Vol. 6 No. 4 (2025): December
Publisher : Pascasarjana Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ujcs.v6i4.1222

Abstract

The purpose of this community service is to strengthening teachers’ competence about diagnostics test for deep learning approach. The community service is conducted to address the challenges of Indonesia’s new curriculum policy about deep learning based on meaningful learning. The implementation methods include opening, materials explanation, discussion, assessment, and closing. Assessment was conducted by questionnaire and test. The result of the assessment from the questionnaire shows positive responses from teachers.  The average scores each statement ranges from 82% to 97%. It indicates a high level of participant satisfaction with the community service. The teachers gained strengthened knowledge about deep learning and the development of diagnostic instruments. The results indicate that the teachers found this community service beneficial, relevant to classroom needs, and applicable in teaching. In addition, most teachers were aware of diagnostic instruments (61,1%), but only a few teachers had ever developed them (5.6%) or conducted them in their classroom (11.1%). It shows that the implementation of the diagnostics test is still limited before conducting the training.  The result of the assessment from the test shows the mean score obtained by the teachers was 86,67. A total of 16 out of 18 teachers (88,9%) scored  80, which is categorized as good, while 2 teachers scored below 80. Thus, the percentage of teachers exceeded the predetermined achievement indicator of 70%. It is hope that this activity can help teachers in supporting deep learning approach at classroom.
Co-Authors Anastasija Limba Baiq Nabila Saufika Zainuri Batlolona, John Rafafy Cicylia Triratna Kereh David Tuhurima G. Gunawan Heppy Sapulate Herman S. Wattimena Hiba Dertyana Siregar Hikmawati Hikmawati Juliana Nirahua Lisa Sutami Suharlan Marasi Bless Suryan Permatasari, Rindah Rachman, Gazali Seska Malawau