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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Pendidikan Vokasi Jurnal Kependidikan: Penelitian Inovasi Pembelajaran Jurnal Pendidikan Akuntansi Indonesia 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 jurnal niara 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 Jurnal Pembelajaran dan Biologi Nukleus bit-Tech JPPIPA (Jurnal Penelitian Pendidikan IPA) Parameter Edunesia : jurnal Ilmiah Pendidikan Jurnal Teknik Informatika (JUTIF) International Journal of Educational Management and Innovation (IJEMI) Jurnal Teknik Elektro (JTE) Edu Cendikia: Jurnal Ilmiah Kependidikan Journal of Applied Business, Taxation and Economics Reseach Jurnal Lingkungan dan Sumberdaya Alam (JURNALIS) Jurnal Pendidikan dan Pembelajaran SENTRI: Jurnal Riset Ilmiah Hexatech: Jurnal Ilmiah Teknik Jurnal Pendidikan Teknik Elektro Journal of Innovative and Creativity 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 Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology 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 Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Social Sciences Transportation Other

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Implementasi Pendekatan PDIA dalam Meningkatkan Motivasi Belajar dan Kemampuan Berpikir Komputasional Siswa SMK Kelas X pada Mata Pelajaran Koding dan Kecerdasan Artifisial Laela Muliana; Tri Rijanto; Luthfiyah Nurlaela; I Gusti Putu Asto Buditjahjanto; Rommy Mochamad Ramdhani
DIAJAR: Jurnal Pendidikan dan Pembelajaran Vol. 5 No. 2 (2026): April 2026
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/diajar.v5i2.6499

Abstract

This study aims to enhance the learning motivation and computational thinking skills of grade X SMK (Vocational High School) students in the subjects of Coding and Artificial Intelligence through the implementation of the Problem Driven Iterative Adaptation (PDIA) approach. Conducted as a Classroom Action Research (PTK) at SMKN 1 Penajam Paser Utara during the 2025/2026 academic year with 36 student participants, the study utilized the Kemmis and McTaggart action research model, which consists of planning based on identifying real-world problems, implementing contextual problem-solving activities, observation using instruments, questionnaires, and computational thinking tests, as well as in-depth reflection to evaluate and refine subsequent actions, carried out over two cycles. Data collection techniques included observation, learning motivation questionnaires, and computational thinking ability tests. The results indicate that the application of the PDIA approach significantly improved students' learning motivation and computational thinking skills. Student learning mastery increased from 50% in the pre-action phase to 63.89% in Cycle I, and further rose to 91.67% in Cycle II, with the class average score reaching 82.58. Additionally, student learning motivation showed improvement, marked by increased activity, enthusiasm, and engagement in the learning process. Therefore, it can be concluded that the PDIA approach is effective in enhancing both learning motivation and computational thinking skills among students in the subjects of Coding and Artificial Intelligence.
Manajemen Perubahan sebagai Moderasi pada Pengaruh Pair Programming terhadap Kemampuan Desain Logo Siswa DKV SMK Negeri 2 Magetan Khoirul Roziqin; Yeni Anistyasari; Luthfiyah Nurlaela; Rommy Mochamad Ramdhani; I Gusti Putu Asto Buditjahjanto
DIAJAR: Jurnal Pendidikan dan Pembelajaran Vol. 5 No. 2 (2026): April 2026
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/diajar.v5i2.6598

Abstract

This research was conducted to investigate whether the application of the Pair Programming influences the logo design competencies of students enrolled in vocational high schools (SMK), while also assessing the moderating Change Management as through the ADKAR framework. The study adopted a quasi-experimental methodology involving tenth-grade learners from the Visual Communication Design program at SMK Negeri 2 Magetan. Participants were allocated into two groups, consisting of an experimental cohort of 36 students and a control cohort of 108 students. To evaluate data, inferential statistics were applied, including Independent Sample t-test and Moderated Regression Analysis (MRA). Results showed no statistically meaningful difference in mean learning performance between students who engaged in collaborative learning and those who learned individually, as evidenced by a significance value of p = 0.9090. However, descriptive findings revealed that Pair Programming functioned as an effective safety net, maintaining the lowest student score at 57, slightly better than the individual method’s minimum of 56. Furthermore, the experimental group achieved a higher maximum score (97) compared to the control group (96). Regression analysis demonstrated that Change Management significantly moderates the effect of Pair Programming (p=0.001). The findings indicate a "safety net" effect for students with low mental readiness, while those with high readiness experienced an interference effect. The study concludes that the success of collaboration depends on technical instruction and heavily influenced by students' psychological readiness. Therefore, the implementation of Pair Programming should be accompanied by change management interventions to optimize student adaptation to a collaborative work culture.
Detection of Soil Organic Matter Using IoT-Based Soil Color Sensors with Random Forest Method Muhammad Afifi Andriansyah; Lusia Rakhmawati; I Gusti Putu Asto Buditjahjanto
JURNAL PEMBELAJARAN DAN BIOLOGI NUKLEUS Vol 12, No 1: Jurnal Pembelajaran Dan Biologi Nukleus March 2026
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jpbn.v12i1.9077

Abstract

Background: Soil organic matter (SOM) is an important indicator of soil fertility that plays a role in agricultural productivity and ecosystem sustainability. However, conventional laboratory-based methods still have limitations in terms of time, cost, and do not support real-time monitoring. Therefore, an approach based on sensors and machine learning is needed for quick and efficient estimation. This study proposes an Internet of Things (IoT)-based system that integrates an RGB soil color sensor (TCS3200) and a pH sensor to estimate soil organic matter content using a Random Forest algorithm. Methodology: Laboratory analysis was conducted using the Walkley–Black method. Soil samples were taken from seven locations (T1–T7). The Random Forest model was developed with parameters n_estimators = 100 and max_depth = 10, and validated using a train-test split method (80:20). Findings: The results showed that darker-colored soils have higher organic carbon content. The model's error values indicated an MAE of 0.031 and an RMSE of 0.032. The Random Forest model achieved a classification accuracy of 85.7% and a coefficient of determination R² ≈ 0.97. Contributions: This study contributes by developing an integrated IoT and machine learning system capable of quickly, accurately, and cost-effectively estimating soil organic matter to support precision agriculture
MENGATASI SAMPAH PLASTIK MELALUI PROGRAM MAS MISTIK: STUDI KASUS PENDEKATAN PDIA DI SMKN 1 PENAJAM PASER UTARA Iwan Arkadianto; Yeni Anistyasari; Lilik Anifah; Luthfiyah Nurlaela; Rommy Mochammad Ramdhani; I Gusti Putu Asto Buditjahjanto
Jurnal Lingkungan dan Sumberdaya Alam (JURNALIS) Vol. 9 No. 1 (2026): Jurnal Lingkungan dan Sumberdaya Alam (JURNALIS)
Publisher : Program Studi Teknik Lingkungan, Fakultas Teknik, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/jls.v9i1.4421

Abstract

SMK Negeri 1 Penajam Paser Utara dengan 579 warga sekolah menghadapi volume sampah plastik yang tinggi, baik yang berasal dari kantin maupun dari makanan yang dibawa atau dibeli di luar sekolah. Penelitian ini menganalisis penerapan pendekatan Problem Driven Iterative Adaptation (PDIA) dalam program MAS MISTIK (Makan Sehat Bergizi, Minim Sampah Plastik) untuk mengurangi sampah plastik dan mengubah kebiasaan konsumsi. Penelitian menggunakan desain studi kualitatif dengan teknik pengumpulan data wawancara mendalam, observasi partisipatif dan analisis dokumen. Pendekatan PDIA menyusun suatu siklus diagnosis masalah, pemetaan sumber sampah plastik, pembentukan koalisi, dan uji coba solusi secara iteratif. Tindakan yang dilakukan meliputi kegiatan “hari makan sehat” bulanan, kesepakatan dengan pihak kantin untuk menghentikan penjualan mi instan, penyediaan piring dan gelas guna ulang, serta kampanye penggunaan botol isi ulang dan wadah makan guna ulang. Triangulasi informasi dari petugas kebersihan, pengelola kantin, guru dan siswa menunjukkan adanya penurunan sampah plastik yang dirasakan serta pergeseran praktik dan norma sosial. Penelitian ini menyimpulkan bahwa PDIA menyediakan kerangka kerja yang efektif untuk menempatkan komunitas sekolah sebagai agen utama perubahan sosial dalam upaya pengurangan sampah plastik di sekolah.
The influence of creativity and learning motivation on entrepreneurial intentions of fisheries vocational high school students Priyono Priyono; Achmad Imam Agung; I Gusti Putu Asto Buditjahjanto; Lilik Anifah; Tomi Agfianto
Jurnal Pendidikan Vokasi Vol. 14 No. 1 (2024)
Publisher : ADGVI & Graduate School of Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jpv.v14i1.69869

Abstract

The fisheries department is one of the expertise programs in Vocational High Schools (VHS). Learning motivation towards the entrepreneurial intention of VHS students majoring in fisheries is still low. This is supported by the fact that some students do not know the relationship between entrepreneurial intentions and learning motivation, which can arouse students' intentions for entrepreneurship. Therefore, this research aims to see the effect of creativity and learning motivation on the entrepreneurial intentions of VHS students majoring in fisheries. This research is ex post facto research with a quantitative approach because the data is generated in the form of numbers and analyzed based on statistical analysis. The sample in this research was 100 students, and the sampling technique used was purposive sampling. The data analysis technique used is multiple regression analysis. The results of this research explain that creativity has an influence on entrepreneurial intentions, and learning motivation has an influence on entrepreneurial intentions. This is evidenced through the results of the t-test where the sig value obtained is 0.003, whose value is much smaller than 0.05 (0.001 < 0.05) and the t-count is greater than the t-table (2.614 > 1.984), so it can be said that creativity has an influence on entrepreneurial intention, as well as the learning motivation variable where the t-count value is greater than the t-table (2.679 > 1.984). This research contributes to the literature by providing insight into the role of creativity and learning motivation in shaping student entrepreneurial intentions, which can inform the development of entrepreneurship education programs and policies.
IMPLEMENTASI ALGORITMA SISTEM KONTROL PID PADA SERVO KEPALA ROBOT SEPAK BOLA HUMANOID UNTUK KETEPATAN TRACKING BOLA Bayu Prayoga Setia Wicaksono; I Gusti Putu Asto Buditjahjanto
JURNAL TEKNIK ELEKTRO Vol. 15 No. 2 (2026): MEI 2026
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jte.v15n2.p114-120

Abstract

Penelitian ini mengimplementasikan kontrol PID pada servo kepala robot humanoid untuk meningkatkanketepatan tracking bola yang sebelumnya belum optimal akibat ketidakstabilan sistem vision. Pengujiandilakukan menggunakan metode tuning trial and error dan Ziegler-Nichols pada robot ROBOTIS OP3,dengan evaluasi berbasis MAE, RMSE, serta respon waktu. Hasil menunjukkan metode Ziegler-Nicholslebih akurat (MAE 0,046; RMSE 0,0926) dibanding metode manual (MAE 0,249; RMSE 0,277), namunmenghasilkan overshoot lebih tinggi. Secara keseluruhan, kontrol PID efektif meningkatkan performatracking, meskipun masih memerlukan optimasi untuk meningkatkan stabilitas.Kata kunci: PID, tracking bola, servo humanoid, Ziegler-Nichols
Perancangan Chatbot Open-Domain Berbasis Retrieval Augmented Generation dan Large Language Model untuk Generasi Digital Afif Putra Romadhoni; Lusia Rakhmawati; I Gusti Putu Asto Buditjahjanto; Nurhayati Nurhayati
Journal of Innovative and Creativity (Joecy) Vol. 6 No. 2 (2026)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v6i2.13022

Abstract

The rapid advancement of artificial intelligence, particularly Large Language Models (LLMs), has driven the development of chatbots capable of generating more natural and interactive conversations. However, general-purpose chatbots still have limitations in providing personalized interactions that meet users' specific needs. This study aims to design and implement an open-domain chatbot based on a Large Language Model (LLM) and Retrieval-Augmented Generation (RAG) with mood personalization and response tone features. The system was developed as a web-based application using an LLM as the response generator and a keyword-based RAG mechanism to provide additional context from a knowledge base. The novelty of this research lies in the integration of the RAG mechanism, mood personalization, response tone selection, and a safety layer within a single chatbot system designed to deliver a more personalized and secure conversational experience. System evaluation was conducted through response time testing and user acceptance testing using the Technology Acceptance Model (TAM). The results indicate that all designed features were successfully implemented and that the system was capable of generating responses across various conversational scenarios. Furthermore, the evaluation demonstrated a high level of user acceptance in terms of perceived usefulness, perceived ease of use, attitude toward using, and behavioral intention to use. Therefore, the developed chatbot was successfully implemented and can serve as a digital interaction medium that leverages LLM and RAG technologies to provide a more personalized conversational experience for users.
Serious game intelligent transportation system based on internet of things Fresy Nugroho; I Gusti Putu Asto Buditjahjanto; Dwi Pebrianti; Jehad A. H. Hammad; Moch Fachri; Tri Mukti Lestari; Dian Maharani; Alfina Nurrahma’N
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 Ervina Tryastuti Rahayu; I Gusti Putu Asto Buditjahjanto
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.
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.
Co-Authors A. Grummy Wailanduw Achmad . Khoirudin Achmad Imam Agung Achmad Imam Agung Afif Putra Romadhoni Afifah, Nabila Tri Ahmad Affandi Akbar Sena Wijaya Akhmad Fahrur Rozi Akhmad Shohibul Mirbath Alfina Nurrahma’N Andri Arfianto Anggi Mega Safitri Ansori, Zainal Mujib Arif Setiawan Arwin Dermawan, Dodik AYU ADILLA NOFRIYANTI, RESTINING Ayu Ayu Dini Ardianti Bambang Suprianto . Bayu Prayoga Setia Wicaksono Chandra Ainur Rizki Chandra Ainur Rizqi Chatarina Umbul Wahyuni Choiria, Rini Deviana, Ria Dian Maharani Dian Maharani, Dian Dwi Cahyono, Bagus Dwi Pebrianti Eka Andila Putri.K.K Ekohariadi Endryansyah . Endryansyah . . Endryansyah Endryansyah Ervina Tryastuti Rahayu Fachri, Moch Fajariati Herina Putri Fardani, Tyo Wildan Afrizal Farid Baskoro Fida Nur Irawati Fikri, Miftahul Fresy Nugroho Fresy Nugroho Hakim, Zaima Faiza 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 Ihtifazhuddan, Razan ILHAM YUWONO, CANDRA Indah Trisanti, Rosalia Indra Nova Saputra Irfansyah, Juki Irma Russanti Ismet Basuki Iwan Arkadianto Jehad A. H. Hammad Joko Joko Kartika Tresya Mauriraya Khoirul Roziqin Kusumo, Angger Setyo L Endah Cahya Ningrum Laela Muliana Lathifaturrohmah, Lathifaturrohmah Lestari, Ika Rokhasari Lestari, Tri Mukti Lestari, Yeni Kusuma Lestari, Yoni Dwi Lilik Anifah Lilik Anifah Lusia Rakhmawati Lutfiyah Hidayati Luthfiyah Nurlaela Mahendra Widyartono Maspiyah Maspiyah Mediatrix Tu'baran Meini Sondang Meini Sondang Sumbawati Moch Fachri Moh Rochman Wahid Maulana Moh. Al Ihsan Muchlas Samani Muhamad Syariffuddien Zuhrie Muhamad Syariffuddien Zuhrie Muhammad Afifi Andriansyah Muhammad Mukhlis Syeichu Muhammad Nur Arif Muhammad Syariffuddien Zuhrie Muhammad Syariffuddien Zuhrie Munoto Munoto Naufal Muzakki Ningrum, Sulis Desiana NUR KHOLIFAH, SITI Nur Nur Rahmaningrum, Vardana Nur Nur Widiyawati Nur, Muhamad . Nurhayati Nurhayati Nurhayati Nurhayati Nurrahma, Alfina Nuryanto, Heru Parama Diptya Widayaka Paramitha, Citra Pratiwi Pasra, Nurmiati Pebrianti, Dwi Prakasa, Aji Bagas PRATAMA, ANDRIAN Prayuda Ari Guntoro Prisillia Lugita Sari 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 Ratna Suhartini Razan Ihtifazhuddan RIAN SAPUTRA, ADING Rian Rifqi Firmansyah Rina Harimurti Riztan Hanif Abdillah Rochmawati, Naim Rommy Mochamad Ramdhani Rommy Mochammad Ramdhani RR. Ella Evrita Hestiandari Saadah, Ayu Ummatus Salim Salim Sari, Fadlilah Indira Satria Riagung Lazuardi Satya Syarifuddin Amrollah Sayyidul Aulia Alamsyah Siti U'un Mas'ulah Soeryanto Soeryanto Sri Setyo Iriani Sriyani Sriyani Stephanie Novita Asarianti Subuh Isnur Haryudo SULISTIYO, EDY Supari Muslim Suparji Suparji Supartini, Titin Surya Catur Sudrajat, Surya Catur Susiani, Irna suwarno arieska Theodorus Wiyanto Wibowo Tomi Agfianto Tri Mukti Lestari Tri Rijanto Tri Rijanto Tri Wrahatnolo Ulil Hartono Unit Three Kartini Wanarti, Puput WARJU WIDYA SAPUTRI, FEBRI Widya Wildan Habibi , Mohammad Wildan Habibi, Mohammad Wiyli Yustanti Wiyli Yustanti WRAHATNOLO, TRI Yeni Anistyasari Yuwono, Dany Purno Zuhrie, M. Syariffuddien Zulfannur Zulfannur Zulfannur, Zulfannur