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All Journal Tekno : Jurnal Teknologi Elektro dan Kejuruan Teknologi dan Kejuruan: Jurnal teknologi, Kejuruan dan Pengajarannya Jurnal Teknologi Informasi dan Ilmu Komputer International Journal of Advances in Intelligent Informatics Proceeding of the Electrical Engineering Computer Science and Informatics Briliant: Jurnal Riset dan Konseptual JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal of Information Technology and Computer Science Knowledge Engineering and Data Science JURNAL DINAMIKA VOKASIONAL TEKNIK MESIN PEDAGOGIA Pendas : Jurnah Ilmiah Pendidikan Dasar ILKOM Jurnal Ilmiah SENTIA 2017 JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) EDUKATIF : JURNAL ILMU PENDIDIKAN Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Pengabdian Kepada Masyarakat (Mediteg) SCAFFOLDING: Jurnal Pendidikan Islam dan Multikulturalisme Buletin Ilmiah Sarjana Teknik Elektro Letters in Information Technology Education (LITE) Journal of Electrical Vocational Education and Technology Ideguru: Jurnal Karya Ilmiah Guru Didaktika: Jurnal Kependidikan International Journal of Robotics and Control Systems Jurnal Pengabdian Kepada Masyarakat Jurnal Nasional Teknik Elektro dan Teknologi Informasi JURNAL PENGABDIAN PENDIDIKAN MASYARAKAT (JPPM) Khidmatuna: Journal of Research and Community Service Jurnal Inovasi Teknologi dan Edukasi Teknik Bulletin of Social Informatics Theory and Application Karunia: Jurnal Hasil Pengabdian Masyarakat Indonesia ABDI UNISAP: Jurnal Pengabdian Kepada Masyarakat Journal of Innovation and Teacher Professionalism Journal of Education and Computer Applications IRDH International Journal of Technology, Agriculture and Natural Sciences (IRDH IJTANS) Lembaran Ilmu Kependidikan Abdimas Pedagogi: Jurnal Ilmiah Pengabdian kepada Masyarakat
Heru Wahyu Herwanto
Universitas Negeri Malang
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Nursing Public Health Social Sciences Veterinary Other

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OPTIMALKAN PROFIL DESA PAIT UNTUK PERTUMBUHAN DAN PEMBERDAYAAN MASYARAKAT Muhammad Aris Ichwanto; Joko Samodra; Heru Wahyu Herwanto; Amir Rofiudin; Ary Agung Wibowo; Luhur Adi Prasetya; Salsabila Thifal Nabil Haq; Rian Syahmulloh Hendranawan; Irva Widiyawati; Khusnul Muttaqiyah; Denny Martin; Suhendri
Jurnal Pengabdian Pendidikan Masyarakat (JPPM) Vol 6 No 1 (2025): Jurnal Pengabdian Pendidikan Masyarakat (JPPM), Vol 6 No 1 (Maret 2025)
Publisher : LPPM UNIVERSITAS MUHAMMADIYAH MUARA BUNGO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52060/jppm.v6i1.2826

Abstract

This research analyzes the development of the profile of Pait Village in Kasembon District, Malang Regency, as a sustainable village to improve welfare through local potential. Pait Village has great opportunities in the agriculture and tourism sectors, but limited promotion, and digital literacy are the main obstacles. This research used descriptive qualitative methods with case studies and virtual ethnography, involving village officials, communities, tourism managers, tourists, and digital marketing experts. Village profile development was carried out by making promotional videos, from pre-production to distribution through social media. The results show that village profile videos attract tourists and increase sales of local products. However, challenges remain, such as poor infrastructure and lack of community participation due to low digital literacy. The conclusions emphasize the importance of sustainable promotion strategies, infrastructure improvements, and active community participation.
Implementation of Continous Band Sealer to Improve Packaging Quality of MSMEs Dapur Sangit Wandanpuro Village Bululawang Herwanto, Heru Wahyu; Muhammad Afnan Habibi; Sujito, Sujito; Arya Kusumawardana; Dimas Jundan A; Shandy Krisnawan
Khidmatuna (Jurnal Pengabdian Kepada Masyarakat) Vol 2 No 2 (2023): May
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58330/khidmatuna.v3i1.405

Abstract

The post-pandemic era is a post-pandemic era where all MSME players are maintaining their businesses and must even be able to increase their businesses. The obstacles experienced by MSMEs Dapur Sangit, Wandanpuro Village, Bululawang, Malang Regency, which are engaged in catering and produce shredded milkfish processed foods, occur in the process of packing or packaging products that are inefficient and untidy. In addition, the product packaging process is still applying conventional technology by using a hand sealer manually. The impact of the packaging process with this conventional tool certainly makes the packaging untidy and there are defects in the packaging so that it will affect product quality and have an impact on reducing quality and selling value in the market. The purpose of this community service program is to apply Appropriate Technology (TTG) in the form of an automatic Continuous Band Sealer machine that functions to improve packaging quality, reduce costs if still applying conventional technology and increase product durability. The results of the service carried out went smoothly and could improve the quality of product packaging for MSMEs Dapur Sangit.
Hubungan Vocational Capability dan Persepsi Terhadap Inovasi Teknologi dengan Adaptasi Perubahan Dunia Kerja di Era Revolusi Industri 4.0 pada Siswa SMK Erlitasari, Mita; Putro, Setiadi Cahyono; Herwanto, Heru Wahyu
Journal of Electrical Vocational Education and Technology Vol. 8 No. 1 (2025): Journal of Electrical Vocational Education and Technology, Volume 8 Issue 1, Ju
Publisher : LPPM Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JEVET.0081.01

Abstract

Abstrak Penelitian ini bertujuan untuk mengetahui : (1) Deskripsi vocational capability (X1), persepsi terhadap inovasi teknologi (X2), adaptasi terhadap perubahan dunia kerja (Y) di era revolusi industry 4.0, (2) Hubungan X1 dengan Y secara signifikan, (3) Hubungan X2 dengan Y secara signifikan, (4) Hubungan X1dan X2 terhadap Y secara signifikan dan simultan. Metode penelitian yang digunakan yaitu ex post facto dengan rancangan penelitian kuantitatif korelasional. Intrumen yang digunakan untuk varibel X1, X2 dan Y berupa angket yang menggunakan skala likert dengan 4 skala. Nilai reliabilitas X1, X2 dan Y sebesar 0,882, 0,837 dan 0,870 Sampel penelitian ini adalah siswa SMK kelas XII Program Keahlian  Teknik Otomasi Industri di Kabupaten Malang sejumlah 103 responden. Hasil penelitian diketahui: (1) koefisien korelasi parsial X1 dengan Y sebesar 0,014; dan (2) koefisien korelasi parsial X2 dengan Y sebesar 0,000. Kesimpulan dari penelitian ini yaitu: (1) terdapat hubungan positif dan signifikan antara X1 dengan Y; (2) terdapat hubungan positif dan signifikan antara X2 dengan Y; (3) terdapat hubungan positif dan signifikan antara X1 dan X2 secara simultan dengan Y pada siswa SMK program keahlian Teknik Otomasi Industri Kabupaten Malang. Abstract The purpose of this research is to understand: (1) Description of vocational capability (X1), perception of technological innovation (X2), Adaptation ahead labour world transformation (Y) in the 4.0 industrial revolution era, (2) Significant correlation between X1 and Y, (3) Significant correlation between X2 and Y, (4) Significant and simultaneous correlation of X1 and X2 with Y.This research is using ex post facto methodology with correlational quantitative research design. The instrument that is used for X1, X2, and Y is consist of questionnaire with 4 scales of linkert scale. Reliability value X1, X2 and Y is 0,882, 0,837 and 0,870. This research samples are 12th grader of vocational high school student, which are majoring industrial automation engineering in Malang district, consist of 103 respondents. The result of the research are (1) Partial correlation coefficient X1 with Y is 0,014; and (2) Partial correlation coefficient X2 with Y is 0,000.This research concludes: (1) There is positive and significant correlation between X1 and Y; (2) There is positive and significant correlation between X2 and Y; (3) There is positive and significant correlation between X1 and X2 simultaneously to Y for vocational high school students of industrial automation engineering program in Malang district.
Implementation of Internet of Things (IoT) in Education: A Systematic Literature Review Prasetya, Luhur Adi; Rofiudin, Amir; Herwanto, Heru Wahyu
Journal of Education and Computer Applications Vol. 2 No. 1 (2025)
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/jeca.v2i1.19

Abstract

This study aims to analyze the development, benefits, and challenges of implementing the Internet of Things (IoT) in education through a systematic literature review (SLR). Using the PRISMA method, 25 relevant articles published between 2018 and 2025 were selected from leading academic databases, including Scopus, IEEE Xplore, SpringerLink, and ScienceDirect. The review process involved four stages: identification, screening, eligibility, and inclusion. The findings show that IoT significantly improves learning effectiveness, increasing outcomes by up to 30% through smart classrooms, real-time monitoring, automated attendance systems, and personalized learning. In addition, IoT supports operational efficiency in schools, with reports showing energy consumption savings of up to 25% and better security measures. Despite these benefits, challenges such as infrastructure gaps (especially in rural areas, which were recorded in 40% of the studies), data privacy issues, and limited digital readiness among teachers remain. This study is limited to English-language publications from 2018-2025. Its originality lies in offering an integrative analysis that connects technological and pedagogical perspectives, providing strategic insights for inclusive and sustainable digital education.
Optimized image-based grouping of e-commerce products using deep hierarchical clustering Pranoto, Yuliana Melita; Handayani, Anik Nur; Herwanto, Heru Wahyu; Kristian, Yosi
International Journal of Advances in Intelligent Informatics Vol 11, No 3 (2025): August 2025
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v11i3.1979

Abstract

Managing large and constantly evolving product catalogs is a significant challenge for e-commerce platforms, especially when visually similar products cannot be reliably distinguished using text-based methods. This study proposes a product grouping method that combines a fine-tuned EfficientNetV2M model with an adaptive Agglomerative Clustering strategy. Unlike conventional CNN-based approaches, which have limited scalability and a fixed number of clusters, the proposed method dynamically adjusts similarity thresholds and automatically forms clusters for unseen product variations. By linking deep visual feature extraction with adaptive clustering, the method enhances flexibility in handling product diversity. Experiments on the Shopee product image dataset show that it achieves a high Normalized Mutual Information (NMI) score of 0.924, outperforming standard baselines. These results demonstrate the method’s effectiveness in automating catalog organization and offer a scalable solution for inventory management and personalized recommendations in e-commerce platforms.
Penerapan Modul Sensor dan Arduino terhadap Minat, Motivasi, dan Hasil Belajar Siswa Kelas 10 TITL SMK (STM) Turen Putra, Adhi Pramana Estiawanda; Herwanto, Heru Wahyu; Irianto, Wahyu Sakti Gunawan; Soraya, Dila Umnia
TEKNO: Jurnal Teknologi Elektro dan Kejuruan Vol 34, No 2 (2024)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um034v34i2p119-127

Abstract

Capaian daya serap materi pelajaran masih menjadi permasalahan di Indonesia. Peningkatan sarana prasarana berupa bahan ajar menjadi upaya untuk meningkatkan kualitas pendidikan. Modul sebagai salah satu bahan ajar dapat membantu siswa memahami, mempelajari dan menerapkan pembelajaran sesuai dengan kebutuhan serta memberikan motivasi belajar pada siswa. Kegairahan, lingkungan, dan keinginan belajar memengaruhi minat dan motivasi siswa dalam pembelajaran. Kurangnya motivasi dan minat belajar terjadi di SMK (STM) Turen, karena itu diperlukan inovasi kegiatan pembelajaran menarik minat, motivasi serta efektif dan efisien. Penelitian ini menggunakan disain quasi experiment dengan pendekatan kuantitatif. Variabel yang digunakan yaitu satu variabel independen yaitu penerapan modul sensor dan arduino (X1) dan 3 variabel dependen yaitu minat belajar (Y1), motivasi belajar (Y2) dan hasil belajar (Y3). Metode pengumpulan data penelitian ini yaitu observasi, non tes (angket/kuesioner), dokumentasi (nilai ulangan harian), dan tes (post-test). Nilai rata-rata Ulangan Harian kelas eksperimen sebesar 35,21 dan kelas kontrol sebesar 39,58. Rata-rata nilai post-test kelas eksperimen 76,95 dan kelas kontrol 61,25. Minat belajar pada indikator keterlibatan, ketertarikan dan perasan senang siswa kelas eksperimen dan kontrol termasuk kategori tinggi. Motivasi belajar pada indikator dorongan kegiatan belajar, kegiatan pembelajaran menarik kelas eksperimen dan kontrol termasuk kategori tinggi, sedangkan pada indikator kemauan belajar kelas eksperimen termasuk kategori sangat tinggi dan kelas kontrol tinggi. Penerapan modul trainer sensor arduino memiliki dampak terhadap minat, motivasi, dan hasil belajar siswa kelas 10 SMK (STM) Turen.
The Effect of Pedagogical Competence and Professional Competence of Students After Teaching Assistance on Interest in Becoming ICT Teachers and Teaching Readiness of Informatics Engineering Education Students, Universitas Negeri Malang Herwanto, Heru Wahyu; Irianto, Wahyu Sakti Gunawan
TEKNO: Jurnal Teknologi Elektro dan Kejuruan Vol 34, No 2 (2024)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um034v34i2p99-108

Abstract

Survey findings indicate that some Informatics Engineering Education students show low interest in pursuing a teaching career, leading to reduced motivation, enthusiasm, and teaching readiness. This lack of interest negatively affects their pedagogical and professional competence. The Teaching Assistance Program was created for educational students to hone their teaching skills and develop their capabilities through curriculum development and implementation. This study aims to:(1) reveal the effect of pedagogical competence on interest in becoming an ICT teacher and teaching readiness; (2) reveal the effect of professional competence on interest in becoming an ICT teacher and teaching readiness; (3) reveal the effect of interest in becoming an ICT teacher on teaching readiness; (4) reveal the effect of pedagogic competence and professional competence on teaching readiness through the intervening variable interest in becoming a teacher. The study found that professional competence significantly influences students’ interest in becoming ICT teachers, while pedagogical competence significantly affects teaching readiness. Interest in becoming an ICT teacher also has a strong positive effect on teaching readiness. Additionally, professional competence indirectly enhances teaching readiness through increased career interest, whereas pedagogical competence shows no significant indirect effect through interest.
Modified Orca Algorithm Based on the Navigation Behavior for Optimal Unit Commitment in Power Systems Widayanti, Lilis; Afandi, Arif Nur; Herwanto, Heru Wahyu
Buletin Ilmiah Sarjana Teknik Elektro Vol. 7 No. 3 (2025): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v7i3.13645

Abstract

This study presents the Novel Navigation Orca Algorithm (NNOA), an innovative optimization algorithm derived from Orca Algorithm (OA). NNOA addresses the unit commitment (UC), a complex issue in power systems that focuses on scheduling generator units to meet power demand while taking into account each generator's limitations, with the goal of lowering operating costs and gas emissions. NNOA exhibits orca hunting behavior through echolocation, utilizing the Doppler effect principle to promote adaptive movement and circumvent local optima, as in contrast to OA's wave-based exploration. The algorithm was evaluated utilizing IEEE 30-bus system data, focused on the Integrated Economic and Emission Dispatch (IEED) objective. The performance was evaluated against OA and Particle Swarm Optimization (PSO) through convergence analysis over 10 and 30 trials, each consisting of 100 iterations. NNOA decreased the IEED value by 1.33% in regard to OA and 1.51% in regard to PSO. NNOA achieved convergence in 10 iterations, whereas OA required 35, indicating 71.4% faster convergence rate. Wilcoxon rank-sum tests demonstrated significant differences between NNOA, OA, and PSO pairings. NNOA's per-iteration computation time exceeds the time needed by PSO, but it remains economical and profitable. Significantly, NNOA contributes minimizing the fuel consumption and emissions cost, which has a positive environmental impact. It effectively adheres to the required constraints, which include the hourly power demand and generator output limits. Future research is encouraged to apply NNOA to larger-scale power systems and explore its hybridization with PSO to enhance computational efficiency, result consistency, and robustness in practical grid operations.
A Generalized Deep Learning Approach for Multi Braille Character (MBC) Recognition Widyadara, Made Ayu Dusea; Handayani, Anik Nur; Herwanto, Heru Wahyu; Yu, Tony
Buletin Ilmiah Sarjana Teknik Elektro Vol. 7 No. 3 (2025): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v7i3.13891

Abstract

Automated visual recognition of Multi Braille Characters (MBC) poses significant challenges for assistive reading technologies for the visually impaired. The intricate dot configurations and compact layouts of Braille complicate MBC classification. This study introduces a deep learning approach utilizing Convolutional Neural Networks (CNN) and compares four leading architectures: ResNet-50, ResNet-101, MobileNetV2, and VGG-16. A dataset comprising 105 MBC classes was developed from printed Braille materials and underwent preprocessing that included image cropping, brightness enhancement, character position labeling, and resizing to 89×89 pixels. A 70:20:10 data partitioning strategy was applied for training and evaluation, with variations in batch sizes (8–128) and epochs (50–500). The results demonstrate that ResNet-101 achieved superior performance, attaining an accuracy of 91.46%, an F1-score of 89.48%, and a minimum error rate of 8.5%. ResNet-50 and MobileNetV2 performed competitively under specific conditions, whereas VGG-16 consistently exhibited lower accuracy and training stability. Standard deviation assessments corroborated the stability of residual architectures throughout the training process. These results endorse ResNet-101 as the most effective architecture for Multi Braille Character classification, highlighting its potential for incorporation into automated Braille reading systems, a tool for translating braille into text or sound for future needs.
Perbandingan Kinerja Metode Naive Bayes dan K-Nearest Neighbor untuk Klasifikasi Artikel Berbahasa indonesia Devita, Riri Nada; Herwanto, Heru Wahyu; Wibawa, Aji Prasetya
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 5 No 4: Agustus 2018
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (793.502 KB) | DOI: 10.25126/jtiik.201854773

Abstract

Kecocokan isi artikel dengan sebuah tema jurnal menjadi faktor utama diterima tidaknya sebuah artikel. Tetapi masih banyak mahasiswa yang bingung untuk menentukan jurnal yang sesuai dengan artikel yang dimilikinya. Untuk itu diperlukannya sebuah metode klasifikasi dokumen yang dapat mengelompokkan artikel secara otomatis dan akurat. Terdapat banyak metode klasifikasi yang dapat digunakan. Metode yang digunakan dalam penelitian ini adalah Naive Bayes dan sebagai baseline digunakan metode K-Nearest Neighbor. Metode Naive Bayes dipilih karena dapat menghasilkan akurasi yang maksimal dengan data latih yang sedikit. Sedangkan metode K-Nearest Neighbor dipilih karena metode tersebut tangguh terhadap data noise. Kinerja dari kedua metode tersebut akan dibandingkan, sehingga dapat diketahui metode mana yang lebih baik dalam melakukan klasifikasi dokumen. Hasil yang didapatkan menunjukkan metode Naive Bayes memiliki kinerja yang lebih baik dengan tingkat akurasi 70%, sedangkan metode K-Nearest Neighbor memiliki tingkat akurasi yang cukup rendah yaitu 40%. AbstractOne way to be accepted in a journal conference and get the publication is to create an article with perfect suitability content of the journal. Matching the content of the article with a journal theme is the main factor for acceptability an article. But there are still many students who are confused to choose the journal in accordance with the articles it has. So we need a method to classification article documents category automatically and accurately group articles. There are many classification methods that can be used. The method used in this study is Naive Bayes and as a baseline the K-Nearest Neighbor method. Naive Bayes method is chosen because it can produce maximum accuracy with little training data. While K-Nearest Neighbor method was chosen because the method is robust to data noise. The performance of the two methods will be compared, so we can be known which method is better in classifying the document. The results show that the Naive Bayes method performs is more accurate with 70% accuracy and K-Nearest Neighbors method has a fairly low accuracy of 40% on classification test.
Co-Authors A.N. Afandi Abdullah Iskandar Syah Adim Firmansah Afifah, Hesti Nur Ahmad Faiz Risvan Haqiqi Aji Prasetya Wibawa Amir Rofiudin Amir Rofiudin Amir Rofiudin Ananda, Sagita Regina Putri Aniendya, Mutyara Whening Anik Nur Handayani Aripriharta - Ary Agung Wibowo Ary Agung Wibowo Arya Kusumawardana Asfani, Khoirudin Azizah, Ambar Isna Chandrika, Katya Lindi Chusna, Chufadatul Dendi Mukti Putranto Denny Martin Denny Martin Devita, Riri Nada Dewayani, Mifta Didik Dwi Prasetya Didik Nurhadi Dila Umnia Soraya Dimas Jundan A Dimas Jundan Ashshiddiqi Eddy Triswanto Setyoadi Eka Rakhmawati Wardhani Eka Rakhmawati Wardhani Erlitasari, Mita Erma Widayanti Eva Yulia Safitri, Eva Yulia Fauzi, Rochmad Firdaus, Rizal Firman Syahputra, Yohanes Dhimas Fitri, Shofiana Hadi, Sholihul Hakkun Elmunsyah Harits Ar Rosyid Hartarto Junaedi Hendra Susanto Hofifah, Hofifah I Made Wirawan Indonesia, Anggirda Permata Indriana, Poppy Irva Widiyawati Irva Widiyawati Jayanti, Ratna Dwi Joyo, Achmad Darmo Kartika Candra Kirana Kasmira, Kasmira Katya Lindi Chandrika Khusnul Muttaqiyah Khusnul Muttaqiyah Khusnul Muttaqiyah Kohei Arai Kohei Arai Kornelius Kamargo/Irawan Dwi Wahyono Kornelius Kamargo Kristian Jodi Lilis Widayanti Luhur Adi Prasetya Luhur Adi Prasetya M. Aris Ichwanto Made Ayu Dusea Widyadara Made Ayu Dusea Widyadara - Universitas Nusantara Kediri, Made Ayu Dusea Widyadara Maghfiro Nuzula Fidinda Putri Manga, Abdul Rachman Marga Asta Jaya Mulya Maskuri, Muhammad Naja Maulana, Afiko Ilham Akbar Mawahib, Agus Mochammad Taufik Hidayat Muhamad Luqmanul Hakim Muhammad Afnan Habibi Muhammad Aris Ichwanto Muhammad Fazlur Rahman Addakhil Muis Muhtadi Mukti Putranto, Dendi Muladi Mutyara Whening Aniendya Ningrum, Gres Dyah Kusuma Nugroho, Andhik Catur Nunung Nurjanah Nur Aliyah Rohma Nur Amalinda Peggy Gilang Pratama Poppy Indriana Prasetya, Luhur Adi Putra, Adhi Pramana Estiawanda Ramadhan, Minggar Putra Dhea Ratnasari, Heny Dwita Ratnasari, Heny Dwita Resty Wulanningrum Rian Syahmulloh Hendranawan Rian Syahmulloh Hendranawan Rizal Fauzi, M. Syamsul Rizalnur Firdaus Rizka Rahmania Ameilia Rofiudin, Amir Rosa Andrie Asmara Rudi Trianto, Rudi Salsabila Thifal Nabil Haq Salsabila Thifal Nabil Haq Samodra, Joko Satia Nur Maharani Setiadi Cahyono Putro Shandy Krisnawan Shofiana Fitri Sholihul Hadi Siti Sendari Slamet Wahyudi Slamet Wibawanto Suhendri Suhendri Suhendri Sujito Sujito Sunaryono Syaad Patmanthara Syamsul Bahri Titasari Rahmawati Tony Yu Tri Atmadji Sutikno Triyanna Widiyaningtyas Triyanna Widyaningtyas Vivi Aida Fitria Wahyu Gunawan Irianto Wahyu Sakti Gunawan Irianto Wardhani, Eka Rakhmawati Widiyanti Widiyanti, Widiyanti Winda Cahyaning W Yosi Kristian Yoto Yoto Yoto Yoto Yoto, Yoto Yu, Tony Yudha Islami Sulistya Yuliana Melita Pranoto Yuni Rahmawati Zustina Zustina Zustina