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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Pendidikan Vokasi Jurnal Kependidikan: Penelitian Inovasi Pembelajaran PENDIDIKAN VOKASI:TEORI DAN PRAKTIK Ekuitas: Jurnal Pendidikan Ekonomi Journal of Educational Science and Technology Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JIEET (Journal of Information Engineering and Educational Technology) Jurnal Pendidikan : Riset dan Konseptual Jurnal Dimensi Pendidikan dan Pembelajaran Syntax Literate: Jurnal Ilmiah Indonesia Educatio Pendas : Jurnah Ilmiah Pendidikan Dasar KACANEGARA Jurnal Pengabdian pada Masyarakat JISIP: Jurnal Ilmu Sosial dan Pendidikan IJIEEB : International Journal of Integrated Education, Engineering and Business GERAM (GERAKAN AKTIF MENULIS) International Journal for Educational and Vocational Studies Jurnal Studi Guru dan Pembelajaran Kumawula: Jurnal Pengabdian Kepada Masyarakat bit-Tech JPPIPA (Jurnal Penelitian Pendidikan IPA) Parameter Edunesia : jurnal Ilmiah Pendidikan Jurnal Teknik Informatika (JUTIF) International Journal of Educational Management and Innovation (IJEMI) Nusantara: Jurnal Pendidikan Indonesia Jurnal Teknik Elektro (JTE) Edu Cendikia: Jurnal Ilmiah Kependidikan Journal of Applied Business, Taxation and Economics Reseach Jurnal Pendidikan dan Pembelajaran SENTRI: Jurnal Riset Ilmiah Hexatech: Jurnal Ilmiah Teknik Jurnal Pendidikan Teknik Elektro Asian Journal of Social and Humanities Ekuitas Jurnal Pnedidikan Ekonomi Jurnal Komtika (Komputasi dan Informatika)
I Gusti Putu Asto Buditjahjanto
Universitas Negeri Surabaya
Aerospace Engineering Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Social Sciences Transportation Other

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Penerapan Pendekatan PDIA dalam Meningkatkan Efektivitas PKL pada Konsentrasi Keahlian TKJ di SMK: Sebuah Kajian Teoretis Indra Nova Saputra; Luthfiyah Nurlaela; Rommy Mochamad Ramdhani; Theodorus Wiyanto Wibowo; I Gusti Putu Asto Buditjahjanto
DIAJAR: Jurnal Pendidikan dan Pembelajaran Vol. 5 No. 1 (2026): Januari 2026
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/diajar.v5i1.6547

Abstract

Practical Work Placement (Praktik Kerja Lapangan/PKL) is positioned as a core subject in the Merdeka Curriculum and plays a strategic role in vocational education, particularly for students in the Computer and Network Engineering (TKJ) specialization at vocational high schools. Through PKL, students are expected to internalize work culture, strengthen technical competencies, and gain an authentic understanding of real workplace practices. Nevertheless, various studies indicate that the implementation of PKL often faces persistent challenges, such as mismatches between students’ competencies and workplace assignments, inconsistent mentoring quality, and limited evaluation mechanisms, which may hinder the achievement of learning outcomes. This article presents a theoretical review that explores the potential application of the Problem Driven Iterative Adaptation (PDIA) approach as a managerial framework to enhance the effectiveness of PKL. A literature review method was employed to examine policy documents, curriculum guidelines, and academic studies related to PKL, vocational education management, and adaptive change approaches over the last decade. This method was selected to allow a comprehensive synthesis of concepts and practices without relying on field data, focusing instead on understanding structural and managerial issues in PKL implementation. The analysis suggests that PDIA offers a flexible and context-sensitive framework for identifying root problems, implementing incremental improvements, and fostering continuous learning through collaboration between schools and industry partners. Overall, this study highlights that PDIA can support more adaptive PKL management and contribute to improving the relevance and quality of vocational learning experiences for TKJ students.
Pengaruh Pendekatan Problem-Driven Iterative Adaptation (PDIA) dan Kepemimpinan Kepala Jurusan terhadap Budaya Disiplin Siswa SMK Wahono, Agung; Suhartini, Ratna; Nurlaela, Luthfiyah; Ramdhani, Rommy Mochamad; Buditjahjanto, I Gusti Putu Asto
Nusantara: Jurnal Pendidikan Indonesia Vol. 6 No. 1 (2026)
Publisher : Lembaga Sosial Rumah Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62491/njpi.2026.v6i1-8

Abstract

Purpose – The purpose of this study is to analyze the influence of the Problem-Driven Iterative Adaptation (PDIA) approach and department head leadership on students’ discipline culture in Vocational High Schools, both partially and simultaneously, as perceived by the department heads.Methods – This study employed a quantitative research approach using multiple linear regression analysis. The sample consisted of 30 vocational high school department heads selected through purposive sampling. Data were collected using a structured questionnaire that measured the PDIA approach, leadership style, and observations of student discipline. The instrument was validated for content and construct, with reliability established using Cronbach’s Alpha to ensure measurement consistency. Findings – The results indicate that the PDIA approach has a positive and significant effect on students’ discipline culture. Department head leadership also shows a positive and significant influence. Simultaneously, both variables significantly contribute to discipline culture, with an R-squared value of 0.9729. While this high value suggests a strong predictive model within the sample, it is interpreted with caution regarding potential construct overlap or common method bias due to the single-source perceptual data. Research Implications – These findings imply that strengthening the implementation of the PDIA approach and enhancing adaptive academic leadership are essential strategies for improving discipline culture. However, future studies are recommended to use multi-source data (e.g., combining student and teacher reports) to validate these findings and reduce potential measurement bias.
Serious game intelligent transportation system based on internet of things Nugroho, Fresy; Buditjahjanto, I Gusti Putu Asto; Pebrianti, Dwi; Hammad, Jehad A. H.; Fachri, Moch; Lestari, Tri Mukti; Maharani, Dian; Nurrahma’N, Alfina
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 1: February 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i1.pp177-190

Abstract

This research examines the implementation of the preference ranking organization method for enrichment evaluation (PROMETHEE) approach for multi-criteria decision-making in a character recommendation system for serious games. The method calculates character skill values across multiple criteria and generates rankings of the best characters according to game environment conditions derived from closed-circuit television (CCTV) based traffic detection. Image processing algorithms were applied to classify congestion levels into quiet, moderate, and busy categories, which directly influence gameplay modes. Experimental results show that PROMETHEE rankings vary across maps (e.g., A6 ranked highest in quiet mode, while B2 dominated in busy mode), demonstrating the system’s contextual adaptability. Usability testing with 50 participants yielded an average system usability scale (SUS) score of 78.9, while expert evaluation using game design factor questionnaire (GDFQ) produced a mean of 4.19/5, both indicating high acceptance and positive user experience. These findings confirm that PROMETHEE is effective in generating context-aware recommendations, providing both strategic depth and engagement. The study concludes that integrating traffic data into serious game design can enrich intelligent transportation systems (ITS) education and awareness, with future improvements possible through real-time player feedback adaptation and machine learning–based traffic prediction.
Analisis Sentimen Mahasiswa terhadap Tugas-Tugas Kuliah dengan Menggunakan Metode K-Nearest Neighbors Rahayu, Ervina Tryastuti; Buditjahjanto, I Gusti Putu Asto
SENTRI: Jurnal Riset Ilmiah Vol. 5 No. 1 (2026): SENTRI : Jurnal Riset Ilmiah, Januari 2026
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/sentri.v5i1.5425

Abstract

In the rapidly evolving digital era, social media platforms such as Twitter or X have become strategic public spaces for students to express their views, experiences, and criticisms regarding various aspects of academic life. One of the most frequently discussed topics is related to academic assignments, including their workload, relevance, and contribution to students’ understanding of course material. The spontaneous expressions shared on social media contain valuable data that can be scientifically analyzed, particularly to capture students’ perceptions and sentiments toward the learning process. Therefore, sentiment analysis represents a relevant and systematic approach to identifying patterns of student opinions in a measurable and data-driven manner. This study employs a quantitative approach using machine learning methods, specifically the K-Nearest Neighbor (KNN) algorithm, to analyze student sentiment toward academic assignments expressed on the Twitter/X platform. The quantitative approach was selected because it enables the objective processing of numerical data and facilitates statistical interpretation of emerging patterns. Data were collected from student tweets related to academic assignments and subsequently processed through several stages, including text preprocessing, feature extraction, and sentiment classification into positive, neutral, and negative categories. The results indicate that the K-Nearest Neighbor (KNN) algorithm is capable of classifying student sentiment with an accuracy rate of 85%, demonstrating that this method is sufficiently effective for sentiment analysis in an educational context. The sentiment distribution reveals that 30% of students expressed positive sentiment, perceiving academic assignments as relevant and challenging, while 40% showed neutral sentiment. Meanwhile, the remaining 30% conveyed negative sentiment, indicating that assignments were perceived as excessively demanding and less relevant to the learning process. These findings provide important insights for educators and educational institutions in evaluating and designing academic assignments that are more effective, balanced, and aligned with students’ learning needs.
The Role of Creative Thinking and Entrepreneurial Motivation in Developing Innovative Behavior in Upcycled Denim Design in Vocational High School Students Lathifaturrohmah, Lathifaturrohmah; Suhartini, Ratna; maspiyah, Maspiyah; Buditjahjanto, I Gusti Putu Asto
JISIP: Jurnal Ilmu Sosial dan Pendidikan Vol 10, No 2 (2026): JISIP (Jurnal Ilmu Sosial dan Pendidikan) (Maret)
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research is motivated by the importance of innovative skills in vocational education, especially in sustainable fashion that demands creativity and an entrepreneurial spirit. The purpose of this study is to analyze the influence of creative thinking and entrepreneurial motivation on students' innovative behavior in designing outer upcycle denim at SMKN 6 Surabaya. The study used a quantitative approach with the SEM-PLS method. Instruments in the form of performance tests and questionnaires that have been tested for validity and reliability were given to grade XI Fashion Production Design students. The results showed that creative thinking and entrepreneurial motivation have a positive and significant effect on innovative behavior, with entrepreneurial motivation as the strongest influencing variable. Simultaneously, both variables explain 92.5% of the variation in students' innovative behavior. These findings emphasize the importance of strengthening creative thinking and entrepreneurial motivation in vocational education to produce innovative and independent graduates.
Co-Authors Achmad . Khoirudin Achmad Imam Agung Achmad Imam Agung Afifah, Nabila Tri Agfianto, Tomi Ahmad Affandi Akbar Sena Wijaya Akhmad Fahrur Rozi Akhmad Shohibul Mirbath Alamsyah, Sayyidul Aulia Andri Arfianto Anggi Mega Safitri Ansori, Zainal Mujib Arif Setiawan Arwin Dermawan, Dodik AYU ADILLA NOFRIYANTI, RESTINING Ayu Ayu Dini Ardianti Bambang Suprianto . Chandra Ainur Rizki Chandra Ainur Rizqi Chatarina Umbul Wahyuni Choiria, Rini Deviana, Ria Dian Maharani, Dian Dwi Cahyono, Bagus Eka Andila Putri.K.K Ekohariadi Endryansyah . Endryansyah . . Endryansyah Endryansyah Fachri, Moch Fajariati Herina Putri Fardani, Tyo Wildan Afrizal Farid Baskoro Fida Nur Irawati Fikri, Miftahul Fresy Nugroho Hakim, Zaima Faiza Hammad, Jehad A. H. Hammad, Jehad A.H. Hapsari Peni Harisone Gusti Arief Prahara Harmanto Harmanto Hartanto, Unung Istopo Hasyim, Zulfikar . Heru Nuryanto Hidayati , Lutfiyah Hidayati, Ayu Zulaikha Hisyam Muhammad Fuad AL Azka Ihsan, Moh. Al Ihtifazhuddan, Razan ILHAM YUWONO, CANDRA Indah Trisanti, Rosalia Indra Nova Saputra Irfansyah, Juki Ismet Basuki Joko Joko Kartika Tresya Mauriraya Kusumo, Angger Setyo L Endah Cahya Ningrum Lathifaturrohmah, Lathifaturrohmah Lestari, Ika Rokhasari Lestari, Tri Mukti Lestari, Yeni Kusuma Lestari, Yoni Dwi Lilik Anifah Lilik Anifah Lugita Sari, Prisillia Lutfiyah Hidayati Luthfiyah Nurlaela Luthfiyah Nurlaela Mahendra Widyartono Maspiyah Maspiyah Meini Sondang Meini Sondang Sumbawati Moh Rochman Wahid Maulana Muchlas Samani Muhamad Syariffuddien Zuhrie Muhamad Syariffuddien Zuhrie Muhammad Mukhlis Syeichu Muhammad Nur Arif Muhammad Syariffuddien Zuhrie Muhammad Syariffuddien Zuhrie Munoto Munoto Muzakki, Naufal Ningrum, Sulis Desiana NUR KHOLIFAH, SITI Nur Nur Rahmaningrum, Vardana Nur Nur Widiyawati Nur, Muhamad . Nurhayati Nurhayati Nurhayati Nurhayati Nurrahma, Alfina Nurrahma’N, Alfina Nuryanto, Heru Parama Diptya Widayaka Paramitha, Citra Pratiwi Pasra, Nurmiati Pebrianti, Dwi Prakasa, Aji Bagas PRATAMA, ANDRIAN Prayuda Ari Guntoro Pristiyanto, Eki Pritasari, Octaverina Kecvara Priyono Priyono Puja Awwalia Rohmah PUNGKY PRATAMA, AFRIZZAL Pungky Puput Wanarti Rusimamto Puput Wanarti Rusimamto Puput Wanarti Rusimamto Purnomo, Yondra Adi Raden Roro Hapsari Peni Agustin Rahayu, Ervina Tryastuti Ramdhani, Rommy Mochamad Ratna Suhartini Razan Ihtifazhuddan RIAN SAPUTRA, ADING Rian Rifqi Firmansyah, Rifqi Rina Harimurti Riztan Hanif Abdillah Rochmawati, Naim Rommy Mochamad Ramdhani RR. Ella Evrita Hestiandari Saadah, Ayu Ummatus Sari, Fadlilah Indira Satria Riagung Lazuardi Satya Syarifuddin Amrollah Siti U'un Mas'ulah Soeryanto Soeryanto Subuh Isnur Haryudo SULISTIYO, EDY Supari Muslim Suparji Suparji Supartini, Titin Surya Catur Sudrajat, Surya Catur Susiani, Irna THEODORUS WIYANTO WIBOWO Tri Rijanto Unit Three Kartini WAHONO, AGUNG WANARTI RUSIMAMTO, PUPUT Wanarti, Puput WARJU WIDYA SAPUTRI, FEBRI Widya Wildan Habibi , Mohammad Wildan Habibi, Mohammad Wiyli Yustanti WRAHATNOLO, TRI Yuwono, Dany Purno Zuhrie, M. Syariffuddien Zulfannur Zulfannur Zulfannur, Zulfannur