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Analisis Persepsi Guru menggunakan Smart LMS dengan Pendekatan Model Penerimaan Teknologi (TAM) Nadya Faranda; Rayendra Rayendra; Ulfia Rahmi; Septriyan Anugrah; Indra Saputra
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.v12i2.14162

Abstract

This study aims to analyze the acceptance of the LMS Pintar Kemenag online training platform among public and private Madrasah Tsanawiyah teachers in Padang City using the Technology Acceptance Model (TAM). A quantitative survey was conducted involving 285 teachers, and the data were analyzed using descriptive statistics with SEMPLS. The results indicate high mean scores across all TAM constructs Perceived Ease of Use, Perceived Usefulness, Attitude Toward Using, and Behavioral Intention to Use showing a strong level of technology acceptance. Teachers consider the platform easy to operate and beneficial for professional development; consequently, they develop favorable attitudes and a sustained intention to use it for training and learning activities. These findings reinforce the relationship between perceived ease, perceived usefulness, and behavioral intention as proposed in TAM, while also highlighting the strategic role of digital platforms in supporting teacher competency development within religious education institutions. In conclusion, LMS Pintar Kemenag has been positively accepted by teachers, and its continued improvement is essential to enhance the effectiveness and sustainability of online professional training programs
AI-Driven Learning Environments and Learning Flow Experience: The Role of Technological Readiness in Supporting Sustainable Quality Education Ani Nurhayati; Ulfia Rahmi; Abna Hidayati; Septriyan Anugrah; Indra Saputra
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.v12i2.14385

Abstract

This study examines the determinants of learning flow experience in AI-driven learning environments and its contribution to Sustainable Development Goal 4 (Quality Education). A quantitative approach was employed using survey data from 316 undergraduate students experienced in AI-integrated courses across four faculties at Universitas Negeri Padang, Indonesia. The data were analyzed using partial least squares structural equation modeling (SEM-PLS). The results indicate that AI technological readiness has a significant positive effect on learning flow experience and mediates the influence of instructor support, community support, and teaching platform quality on learning flow. In contrast, AI digital literacy does not have a significant effect on technological readiness, indicating that technical training alone is insufficient and cannot independently build learners’ readiness without strong pedagogical and contextual support. Furthermore, AI facilitating conditions slightly but significantly strengthen the relationship between technological readiness and learning flow, suggesting their role as a contextual boundary factor. These findings highlight the importance of integrating instructional, technological, and institutional support systems in AI-driven learning. In conclusion, fostering technological readiness through supportive learning ecosystems is essential for promoting meaningful and sustainable learning experiences aligned with SDG 4.
Transferensi dalam Proses Konseling Indra Saputra; Rezki Hariko; Yeni Karneli
SCHOULID: Indonesian Journal of School Counseling Vol. 8 No. 1 (2023): SCHOULID : Indonesian Journal of School Counseling
Publisher : Indonesian Counselor Association (IKI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23916/081866011

Abstract

Transference can be an obstacle and help that counselors get from their clients. However, transference that is too strong from the client will also hinder the relationship in the counseling process. For this reason, a counselor must know what the causes and strategies are to resolve transference in the counseling relationship. Therefore, the purpose of this study is to find out how transference is in the counseling process, to obtain data regarding this purpose, the researcher uses a qualitative method with a descriptive narrative approach with online data collection. The results of this study are transference is a projection of feelings from the client to the counselor, this projection of feelings occurs because of the blurring of ethical standards or boundaries set by the counselor in the counseling process, for that we need several strategies to overcome them.
Pelatihan asesmen dan evaluasi adaptif berbasis chatbot artificial intelligence bagi guru SMK Bidang Kecantikan dan Spa di Sumatera Barat Rahmiati Rahmiati; Hayatunnufus Hayatunnufus; Merita Yanita; Siska Miga Dewi; Febri Silvia; Indra Saputra
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 10, No 2 (2026): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v10i2.38840

Abstract

AbstrakKegiatan pengabdian kepada masyarakat ini dilaksanakan untuk menjawab kebutuhan peningkatan kompetensi guru SMK bidang kecantikan dan spa di Sumatera Barat yang masih menghadapi tantangan dalam menerapkan asesmen pembelajaran adaptif dan memanfaatkan teknologi kecerdasan buatan (Artificial Intelligence/AI). Kegiatan ini bertujuan untuk meningkatkan kemampuan guru dalam memahami konsep asesmen adaptif serta mengintegrasikan AI Chatbot seperti ChatGPT dalam proses perancangan dan evaluasi pembelajaran agar lebih inovatif, autentik, dan efisien. Kegiatan dilaksanakan pada 2–3 Agustus 2025 di Program Studi Pendidikan Tata Rias dan Kecantikan, Fakultas Pariwisata dan Perhotelan, Universitas Negeri Padang, dengan melibatkan 25 guru dari lima sekolah mitra, yaitu SMKN 7 Padang, SMKN 6 Padang, SMKN 3 Payakumbuh, SMKN 1 Sijunjung, dan SMKN 2 Bukittinggi. Metode pelatihan meliputi sosialisasi, ceramah interaktif, demonstrasi, praktik langsung (hands-on training), dan refleksi bersama. Hasil kegiatan menunjukkan peningkatan signifikan dalam pemahaman guru terhadap prinsip asesmen adaptif serta keterampilan menggunakan ChatGPT untuk menyusun tujuan pembelajaran, indikator capaian, instrumen asesmen, dan rubrik penilaian berbasis AI. Peserta menunjukkan antusiasme tinggi dan kesiapan untuk mengimplementasikan asesmen digital di sekolah masing-masing. Kegiatan ini disarankan untuk dilanjutkan melalui pendampingan berkala dan pembentukan forum komunitas guru berbasis AI guna memperkuat keberlanjutan praktik asesmen adaptif berbasis teknologi di pendidikan vokasi. Kata kunci: asesmen adaptif; ChatGPT; kecerdasan buatan; guru smk; pembelajaran vokasi. AbstractThis community service activity was carried out to address the need to enhance the competencies of vocational school teachers in the field of beauty and spa in West Sumatra, who continue to face challenges in implementing adaptive learning assessment and utilizing Artificial Intelligence (AI) technologies. The primary objective of this program was to improve teachers’ understanding of adaptive assessment concepts and to train them in integrating AI chatbots, such as ChatGPT, into the process of instructional design and evaluation to make learning more innovative, authentic, and efficient. The activity was conducted on August 2–3, 2025, at the Department of Beauty and Cosmetology Education, Faculty of Tourism and Hospitality, Universitas Negeri Padang, involving 25 teachers from five partner vocational schools: SMKN 7 Padang, SMKN 6 Padang, SMKN 3 Payakumbuh, SMKN 1 Sijunjung, and SMKN 2 Bukittinggi. The training employed various methods, including socialization, interactive lectures, demonstrations, hands-on practice, and reflective discussions. The results indicated a significant improvement in teachers’ understanding of adaptive assessment principles and their ability to use ChatGPT to design learning objectives, achievement indicators, assessment instruments, and AI-based scoring rubrics. Participants demonstrated high enthusiasm and readiness to implement digital assessment practices in their respective schools. It is recommended that this program be continued through periodic mentoring and the establishment of an AI-based teacher community forum to ensure the sustainability of adaptive, technology-integrated assessment practices in vocational education. Keywords: adaptive assessment; ChatGPT; artificial intelligence; vocational teachers; vocational learning.
The relationship between self-control and tax aversiveness and students' academic procrastination Indra Saputra; Firman Firman; Dea Aulia
Journal of Educational and Learning Studies Vol 9, No 1 (2026): Journal of Educational and Learning Studies
Publisher : Global Econedu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32698/02302

Abstract

Academic procrastination is a common phenomenon that negatively impacts student achievement. This study aims to examine the relationship between self-control and task aversiveness on students' academic procrastination. The study was conducted using a quantitative correlational approach on 285 students of SMA Negeri 8 Padang City who were selected using proportional stratified random sampling. Data were collected using a questionnaire and analyzed through simple linear regression. The results showed that self-control had a significant negative relationship with academic procrastination, while task aversiveness had a significant positive relationship with academic procrastination. These findings confirm that low self-control and high perceptions of task uninterestingness contribute to increased procrastination. The practical implications of these results can be the basis for developing guidance and counseling services to improve self-control and reduce task aversiveness.
From Social Media to Learning Media: Developing Valid and Practical TikTok-Based Educational Videos for Stage Makeup Education Aura Fauziah; Indra Saputra
Jurnal Paedagogy Vol. 13 No. 3 (2026): July
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jp.v13i3.21372

Abstract

This study aims to develop TikTok-based educational video content for stage makeup learning that is valid and practical for vocational high school students majoring in Beauty and Cosmetology. The study employed a Research and Development (R&D) approach using the Four-D (4D) model, which consists of the Define, Design, Develop, and Disseminate stages. The participants included two material experts, two media experts, one language expert, and 39 students who participated in the practicality evaluation. Data were collected using validity and practicality questionnaires based on a five-point Likert scale and were analyzed descriptively. The results indicated that the developed learning media demonstrated high validity, with validity coefficients of 0.955 and 0.833 from the material experts, 0.877 and 0.777 from the media experts, and 0.900 from the language expert, representing valid to highly valid categories. In addition, the practicality evaluation yielded a score of 0.892 (89.16%), indicating that the media was highly practical. These findings demonstrate that the TikTok-based educational video content is valid, practical, and suitable for supporting stage makeup instruction in vocational high schools. The study further suggests that TikTok-based educational videos have considerable potential as digital learning media in vocational education by providing flexible access to practical learning materials, promoting self-directed learning, and accommodating the learning preferences of Generation Z. Accordingly, integrating social media into vocational education can enhance the delivery of practical instruction in the digital learning environment.
Pelatihan pembuatan produk digital bagi generasi Z untuk meningkatkan kreativitas dan peluang wirausaha di era digital Indra Saputra; Feriantano Sundang Pranata; Elviza Yeni Putri; Melda Mahniza; Ringga Novelni; Ridha Hasnul Ulya; M. Affandi Arianto
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 10, No 3 (2026): June
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v10i3.39826

Abstract

AbstrakPerkembangan teknologi digital memberikan peluang besar bagi generasi Z untuk mengembangkan kreativitas dan membangun usaha berbasis digital. Namun, masih banyak calon wirausahawan, khususnya di bidang kecantikan, yang belum memiliki pemahaman dan keterampilan dalam merancang produk digital yang bernilai ekonomi. Keterbatasan pengetahuan mengenai konsep produk digital, proses perancangan, serta strategi pemasaran digital menjadi tantangan dalam mengembangkan usaha yang adaptif terhadap perkembangan era digital. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan pemahaman dan keterampilan peserta dalam membuat produk digital sebagai peluang usaha kreatif di era digital. Pelatihan dilaksanakan pada tanggal 18 April 2026 dengan melibatkan 18 orang calon wirausahawan muda bidang kecantikan sebagai peserta. Metode kegiatan dilakukan melalui ceramah, diskusi, tanya jawab, dan praktik langsung perancangan produk digital. Materi pelatihan mencakup konsep produk digital, jenis-jenis produk digital, tahapan pembuatan produk digital, penentuan ide produk, serta strategi pemasaran digital. Hasil evaluasi menunjukkan bahwa 55,6% peserta berada pada kategori sangat memahami dan 33,3% memahami konsep produk digital. Selain itu, keterampilan peserta dalam merancang ide produk digital juga meningkat, dibuktikan dengan 44,4% peserta berada pada kategori sangat baik dan 38,9% pada kategori baik. Tingkat kepuasan peserta terhadap pelatihan tergolong tinggi, terutama pada aspek manfaat kegiatan dengan persentase sangat puas sebesar 77,8%. Hasil tersebut menunjukkan bahwa pelatihan mampu meningkatkan pemahaman, kreativitas, dan keterampilan peserta dalam mengembangkan usaha berbasis digital yang inovatif dan berdaya saing. Kata kunci: generasi Z; kreativitas; pelatihan; produk digital; wirausaha digital. AbstractThe development of digital technology has created significant opportunities for Generation Z to enhance creativity and establish digital-based businesses. However, many aspiring entrepreneurs, particularly in the beauty sector, still lack the understanding and skills needed to design digital products with economic value. Limited knowledge regarding digital product concepts, product design processes, and digital marketing strategies remains a major challenge in developing businesses that are adaptive to the digital era. This community service activity aimed to improve participants’ understanding and skills in creating digital products as creative business opportunities in the digital age. The training was conducted on April 18, 2026, involving 18 young aspiring beauty entrepreneurs as participants. The training methods included lectures, discussions, question-and-answer sessions, and hands-on practice in designing digital products. The training materials covered digital product concepts, types of digital products, stages of digital product creation, product idea development, and digital marketing strategies. The evaluation results showed that 55.6% of participants were categorized as having a very good understanding and 33.3% as having a good understanding of digital product concepts. In addition, participants’ skills in designing digital product ideas improved, as evidenced by 44.4% of participants being categorized as very good and 38.9% as good. Participant satisfaction with the training was also high, particularly regarding the benefits of the activity, with 77.8% expressing being very satisfied. These findings indicate that the training successfully enhanced participants’ understanding, creativity, and skills in developing innovative and competitive digital-based businesses. Keywords: creativity; digital entrepreneurship; digital products; generation Z; training.
Pelatihan implementasi chatbot artificial intelligence dalam perancangan asesmen berbasis Higher Order Thinking Skills (HOTS) bagi Guru SMKN 6 dan SMKN 7 Padang Merita Yanita; Rahmiati Rahmiati; Indra Saputra; Febri Silvia; Aisya Shabrina; Nadiratul Khaira
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 10, No 3 (2026): June
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v10i3.39022

Abstract

AbstrakPerkembangan pendidikan abad ke-21 menuntut guru memiliki kemampuan merancang asesmen yang mampu mengukur Higher Order Thinking Skills (HOTS) serta memanfaatkan teknologi pembelajaran secara efektif. Namun, hasil observasi di SMKN 6 Padang dan SMKN 7 Padang menunjukkan bahwa asesmen yang diterapkan masih cenderung konvensional dan pemanfaatan Artificial Intelligence (AI), khususnya chatbot, dalam proses asesmen masih terbatas. Kegiatan Pengabdian kepada Masyarakat (PKM) ini bertujuan meningkatkan kompetensi guru dalam merancang dan mengimplementasikan asesmen berbasis HOTS melalui pemanfaatan ChatGPT. Metode pelaksanaan meliputi sosialisasi, pelatihan praktis, simulasi penerapan teknologi, pendampingan, evaluasi, dan tindak lanjut. Pelatihan difokuskan pada perancangan asesmen HOTS, digitalisasi sumber belajar, serta pemanfaatan ChatGPT dan aplikasi pendukung untuk penyusunan, pelaksanaan, dan analisis asesmen. Hasil kegiatan menunjukkan bahwa peserta mampu menghasilkan modul ajar digital, e-modul, serta perangkat asesmen dan evaluasi berbasis HOTS yang terintegrasi dengan AI. Hasil evaluasi juga menunjukkan peningkatan pemahaman peserta yang ditandai dengan kenaikan rata-rata skor dari 75,4 pada pre-test menjadi 87,2 pada post-test atau meningkat sebesar 15,65%. Temuan ini menunjukkan bahwa pelatihan efektif dalam meningkatkan pemahaman guru terkait HOTS dan pemanfaatan AI dalam asesmen pembelajaran. Meskipun masih diperlukan penguatan pada aspek desain dan pengayaan konten, kegiatan ini telah memberikan dasar yang kuat bagi guru dalam mengembangkan asesmen yang lebih efektif, efisien, dan relevan dengan tuntutan pembelajaran abad ke-21. Kegiatan PKM ini direkomendasikan untuk dilanjutkan melalui pendampingan berkelanjutan guna memastikan keberlanjutan implementasi di sekolah mitra. Kata Kunci: artificial intelligence; asesmen HOTS; chatGPT; guru SMK; pengabdian kepada masyarakat. AbstractThe development of 21st-century education requires teachers not only to master subject matter but also to possess the ability to design assessments that effectively measure Higher Order Thinking Skills (HOTS) and to utilize educational technology efficiently. However, preliminary observations at SMKN 6 Padang and SMKN 7 Padang indicate that the assessments currently implemented remain largely conventional and have not yet optimally measured students’ HOTS. In addition, the utilization of Artificial Intelligence (AI)-based technologies, particularly chatbots, in assessment and learning evaluation processes is still very limited. This Community Service Program (Pengabdian kepada Masyarakat / PKM) aimed to enhance teachers’ competencies in designing and implementing HOTS-based assessments through the utilization of AI technology, specifically ChatGPT. The program was implemented through several stages, including socialization, practical training, technology implementation simulation, intensive mentoring, evaluation, and follow-up activities. The training focused on designing HOTS-based assessments, digitalizing learning resources, and utilizing ChatGPT along with supporting applications for assessment development, implementation, and analysis. The results indicate that teachers were able to produce learning products in the form of digital teaching modules, e-modules, and HOTS-based assessment and evaluation instruments by utilizing ChatGPT. Furthermore, there was an improvement in teachers’ understanding and skills in integrating AI technology into the assessment process. Although further enhancement is still required in terms of design quality and content enrichment, this program has provided a strong foundation for teachers to develop assessments that are more effective, efficient, and aligned with the demands of 21st-century learning. Therefore, it is recommended that this PKM activity be continued through sustained mentoring to ensure the long-term implementation at partner schools. Keywords: artificial intelligence; ChatGPT; community service; HOTS assessment; vocational school teachers. 
PERBANDINGAN METODE RANDOM FOREST DAN NAIVE BAYES DALAM KLASIFIKASI PREFERENSI DESTINASI WISATA BERBASIS ALAM Feriantano Sundang Pranata; Indra Saputra
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 10 No. 3 (2026): JATI Vol. 10 No. 3
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v10i3.18328

Abstract

Prediksi preferensi wisatawan pada destinasi berbasis alam merupakan isu penting dalam analitik pariwisata karena perbedaan minat pengunjung memengaruhi segmentasi, promosi, perencanaan layanan, dan pengembangan destinasi. Tantangan utama penelitian ini adalah menentukan model klasifikasi yang mampu merepresentasikan pola preferensi wisatawan secara akurat. Penelitian ini membandingkan Random Forest dan Naive Bayes untuk mengklasifikasikan preferensi wisatawan terhadap destinasi pegunungan dan pantai. Perbandingan kedua metode diperlukan karena data preferensi wisatawan memuat atribut demografis dan perilaku yang berpotensi membentuk pola klasifikasi berbeda, sehingga perlu diuji menggunakan algoritma dengan karakteristik pembelajaran yang berbeda. Random Forest dipilih karena mampu menangkap interaksi fitur kompleks melalui mekanisme ensemble berbasis decision tree, sedangkan Naive Bayes digunakan sebagai pembanding karena sederhana, efisien, dan relevan sebagai baseline probabilistik dalam tugas klasifikasi. Penelitian ini menggunakan desain kuantitatif berbasis machine learning dengan dataset Mountains vs. Beaches Preferences dari Kaggle. Tahapan penelitian meliputi eksplorasi data, praproses, pembangunan model, dan evaluasi komparatif. Data dibagi dengan proporsi 80:20. Evaluasi dilakukan menggunakan confusion matrix serta metrik akurasi, presisi, recall, dan F1-score. Hasil menunjukkan Random Forest unggul atas Naive Bayes pada seluruh metrik. Random Forest memperoleh akurasi 0,994596, presisi 0,994626, recall 0,994596, dan F1-score 0,994604, sedangkan Naive Bayes memperoleh akurasi 0,919226, presisi 0,930133, recall 0,919226, dan F1-score 0,921664. Temuan ini menunjukkan bahwa Random Forest lebih sesuai untuk dataset yang dianalisis dan machine learning dapat mendukung pengambilan keputusan manajerial dalam pengelolaan destinasi wisata alam