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Teachers' Beliefs and Attitudes Toward TPACK-Oriented Technology Integration for Quality Education: Developing Genially-Based Mathematics Learning Materials Fitrani Dwina; Ayuni Kemala Safira; Widya Darwin; Yulyanti Harisman; Hafizatunnisa; Pipin Sumarni; Minora Longgom Nasution; Mazlini Adnan
Jurnal Penelitian Pendidikan IPA Vol 12 No 2 (2026)
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i2.14473

Abstract

This study examines the beliefs and attitudes of high school mathematics teachers toward TPACK-oriented technology integration through the development of interactive teaching materials using Genially in Pesisir Selatan Regency. TPACK orientation is positioned as the foundation for integrating technological knowledge and mathematical content knowledge in the development of digital teaching materials. The study used a survey method with twenty mathematics teachers as participants. Data were collected through belief questionnaires, attitude questionnaires, and structured interviews to explain the reasons behind the questionnaire responses. Belief indicators include teachers' views on learning and knowledge for learning related to technology engagement. Attitude indicators include familiarity, interest, efforts to seek help when experiencing difficulties with features, and the desire to use Genially to support students' mathematical problem-solving during learning. The results showed very high acceptance of the use of technology, especially the Genially application (94–95% agreement on key indicators). Interviews confirmed that Genially's visual interactivity helps teachers explain abstract concepts and relate the material to real-life contexts, but internet stability and initial design time remain obstacles. These findings support Quality Education (SDG 4) by strengthening teachers' readiness to integrate technology in mathematics learning.
Klasifikasi Bakat Siswa Dalam Memilih Jurusan Di Perguruan Tinggi Jania Ganesa; Jusmardi; Khairi Budayawan; Widya Darwin
Menulis: Jurnal Penelitian Nusantara Vol. 2 No. 4 (2026): Menulis - April
Publisher : PT. Padang Tekno Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59435/menulis.v2i4.1115

Abstract

Pemilihan jurusan di perguruan tinggi merupakan keputusan penting yang memengaruhi masa depan akademik dan karier siswa. Namun, banyak siswa mengalami kesulitan dalam menentukan jurusan yang sesuai dengan bakat dan kemampuan mereka. Penelitian ini bertujuan untuk membangun sistem klasifikasi bakat siswa dalam memilih jurusan perguruan tinggi menggunakan metode data mining dengan algoritma Decision Tree (C4.5). Data yang digunakan berasal dari siswa SMA Negeri 1 Painan yang meliputi nilai ujian, nilai rapor, dan jurusan SMA. Proses penelitian dilakukan melalui tahapan pengumpulan data, preprocessing, pemodelan menggunakan RapidMiner, serta evaluasi model dengan metode cross validation 10-folds. Hasil penelitian menunjukkan bahwa atribut nilai rata-rata ujian menjadi faktor utama dalam menentukan jurusan yang sesuai. Model yang dihasilkan memiliki tingkat akurasi sebesar 87%, sehingga dapat digunakan sebagai alat bantu dalam memberikan rekomendasi jurusan kepada siswa. Dengan adanya sistem ini, diharapkan dapat membantu siswa dalam memahami potensi diri serta mengurangi kesalahan dalam memilih jurusan di perguruan tinggi.