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All Journal International Journal of Electrical and Computer Engineering Tekno : Jurnal Teknologi Elektro dan Kejuruan Teknologi dan Kejuruan: Jurnal teknologi, Kejuruan dan Pengajarannya Jurnal Inovasi Teknologi Pendidikan International Journal of Advances in Intelligent Informatics Proceeding of the Electrical Engineering Computer Science and Informatics JOIN (Jurnal Online Informatika) 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 INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Knowledge Engineering and Data Science Jurnal Penelitian Pendidikan IPA (JPPIPA) JOURNAL OF APPLIED INFORMATICS AND COMPUTING Pendas : Jurnah Ilmiah Pendidikan Dasar Cetta: Jurnal Ilmu Pendidikan ILKOM Jurnal Ilmiah at-tamkin: Jurnal Pengabdian kepada Masyarakat SENTIA 2016 SENTIA 2015 MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Karinov TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Edunesia : jurnal Ilmiah Pendidikan Letters in Information Technology Education (LITE) Ideguru: Jurnal Karya Ilmiah Guru Jurnal Teknik Informatika (JUTIF) Journal of Applied Data Sciences Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Decode: Jurnal Pendidikan Teknologi Informasi Emerging Information Science and Technology Bulletin of Community Engagement Journal of Education Research Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Journal of Health and Nutrition Research JUSIFOR : Jurnal Sistem Informasi dan Informatika Jurnal Ekonomi, Bisnis dan Pendidikan (JEBP) Journal of Embedded Systems, Security and Intelligent Systems
Didik Dwi Prasetya
Universitas Negeri Malang
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology 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 Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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An enhanced pivot-based neural machine translation for low-resource languages Sulistyo, Danang Arbian; Wibawa, Aji Prasetya; Prasetya, Didik Dwi; Ahda, Fadhli Almuíini
International Journal of Advances in Intelligent Informatics Vol 11, No 2 (2025): May 2025
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v11i2.2115

Abstract

This study examines the efficacy of employing Indonesian as an intermediary language to improve the quality of translations from Javanese to Madurese through a pivot-based approach utilizing neural machine translation (NMT). The principal objective of this research is to enhance translation precision and uniformity among these low-resource languages, hence advancing machine translation models for underrepresented languages. The data collecting approach entailed extracting parallel texts from internet sources, followed by pre-processing through tokenization, normalization, and stop-word elimination algorithms. The prepared datasets were utilized to train and assess the NMT models. An intermediary phase utilizing Indonesian is implemented in the translation process to enhance the accuracy and consistency of translations between Javanese and Madurese. Parallel text corpora were created by collecting and preprocessing data, thereafter, utilized to train and assess the NMT models. The pivot-based strategy regularly surpassed direct translation regarding BLEU scores for all n-grams (BLEU-1 to BLEU-4). The enhanced BLEU ratings signify increased precision in vocabulary selection, preservation of context, and overall comprehensibility. This study significantly enhances the current literature in machine translation and computational linguistics, especially for low-resource languages, by illustrating the practical effectiveness of a pivot-based method for augmenting translation precision. The method's dependability and efficacy in producing genuine translations were proved through numerous studies. The pivot-based technique enhances translation quality, although it possesses limitations, including the risk of error propagation and bias originating from the pivot language. Further research is necessary to examine the integration of named entity recognition (NER) to improve accuracy and optimize the intermediate translation process. This project advances the domains of machine translation and the preservation of low-resource languages, with practical implications for multilingual communities, language education resources, and cultural conservation.
Minangkabau Language Stemming: A New Approach with Modified Enhanced Confix Stripping Ahda, Fadhli Almu'iini; Aji Prasetya Wibawa; Didik Dwi Prasetya; Danang Arbian Sulistyo; Andrew Nafalski
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 3 (2025): June 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i3.6511

Abstract

Stemming is an essential procedure in natural language processing (NLP), which involves reducing words to their root forms by eliminating affixes, including prefixes, infixes, and suffixes. The employed method assesses the efficacy of stemming, which differs according to language. Complex affixation patterns in Indonesian and regional languages such as Minangkabau pose considerable difficulties for traditional algorithms. This research adopts the enhanced fixed-stripping method to tackle these issues by integrating linguistic characteristics unique to Minangkabau. This study has three phases: data acquisition, pseudocode development, and algorithm execution. Testing revealed an average accuracy of 77.8%, indicating the algorithm's proficiency in managing Minangkabau’s intricate morphology. Nevertheless, constraints persist, particularly with irregular affixation patterns. Possible improvements could include adding more datasets, improving the rules for handling affixes, and using machine learning to make the system more flexible and accurate. This study emphasizes the significance of customized solutions for regional languages and provides insights into the advancement of NLP in various linguistic environments. The findings underscore the progress made in processing Minangkabau text while also emphasizing the need for further research to address current issues.
PENERAPAN MODEL KOOPERATIF TIPE TEAMS ASSISTED INDIVIDUALIZATION (TAI) UNTUK MENINGKATKAN HASIL BELAJAR SISWA KELAS X 3 SMAN 7 MALANG Wardani, Adi Wahyu; Prasetya, Didik Dwi; Setiawan, Ahmad Yusuf; Ratnaduhita, Nadiah Alma; Ridlo, Muhammad Zidni
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 10 No. 03 (2025): Volume 10 No. 03 September 2025
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v10i03.25934

Abstract

ABSTRACT Education constantly evolves alongside technological advancements and social transformation. In such a context, selecting the appropriate teaching model is crucial to the success of the teaching and learning process. The aim of this study is to examine how the implementation of the Cooperative Learning Model of Team Assisted Individualization (TAI) can improve student learning outcomes in Digital Literacy material for Grade X students at SMAN 7 Malang. This study employed Classroom Action Research (CAR) conducted in two cycles, each consisting of planning, action, observation, and reflection stages. Data were collected through observation sheets, documentation, student activity records, and learning outcome tests. The findings indicate that the TAI model enhances both student achievement and participation. In the first cycle, 51% of students achieved the minimum mastery criteria (KKM), and this figure increased to 96% in the second cycle. The results show that cooperative learning using the TAI model can foster cognitive development and social interaction among students, making it an effective strategy for significantly improving digital literacy outcomes. ABSTRAK Pendidikan selalu berubah seiring kemajuan teknologi dan transformasi sosial. Dalam keadaan seperti ini, pemilihan model pengajaran yang tepat sangat penting untuk keberhasilan proses belajar-mengajar. Tujuan dari penelitian ini adalah untuk melihat bagaimana penerapan Model Pembelajaran Kooperatif tipe tim yang dibantu individualisasi (TAI) dapat meningkatkan hasil pembelajaran siswa pada materi Literasi Digital di kelas X di SMAN 7 Malang. Dalam penelitian ini, Penelitian Tindakan Kelas (PTK) dilakukan dalam dua siklus. Tahap perencanaan, tindakan, pengamatan, dan refleksi termasuk dalam masing-masing siklus. Data dikumpulkan melalui lembar observasi, dokumentasi, aktivitas siswa, dan tes hasil belajar. Temuan penelitian menunjukkan bahwa model TAI meningkatkan pencapaian dan partisipasi siswa. Pada siklus pertama, 51% siswa berhasil mencapai kriteria ketuntasan minila (KKM), dan pada siklus kedua, angka tersebut meningkat menjadi 96%. Hasil penelitian menunjukkan bahwa pembelajaran kooperatif dengan model TAI dapat meningkatkan perkembangan kognitif dan interaksi sosial siswa. Ini berarti bahwa ini adalah cara untuk meningkatkan hasil literasi digital yang luar biasa.
Gamified web-based learning to improve evaluation skills in teacher professional education courses Hidayat, Wahyu Nur; Widiyanti, Widiyanti; Ichwanto, Muhammad Aris; Prasetya, Didik Dwi; Akbar, Asna Isyarotul; Prihandicha, Adiftya Bayu; Cakir, Gulsun Kurubacak
Jurnal Inovasi Teknologi Pendidikan Vol. 12 No. 3 (2025): September
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jitp.v12i3.79270

Abstract

Education is a key pillar in the development of individuals and society. In this digital era, technology has revolutionized learning by expanding access and improving the quality of the learning process. One of the recent innovations is the use of web-based learning (WBL), which, although flexible, often lacks interaction elements, thus reducing user engagement. To address this, this research proposes a platform, “Meja Guru Academy,” that integrates gamification elements in WBL to improve the learning evaluation skills of Teacher Professional Education (PPG) students. This research utilizes the Design Thinking approach, which involves the stages of empathy, problem definition, idea development, prototyping, and evaluation—the data collection method through questionnaires produced quantitative and qualitative data for system validation. Content experts rated the platform's educational material at 85.33%, indicating exceptional alignment with learning objectives, while media experts provided a score of 89.60%, highlighting effective usability. User testing with PPG students yielded a strong System Usability Scale (SUS) score of 79, suggesting the platform is highly user-friendly. Additionally, the User Experience Questionnaire (UEQ) results indicated positive user perceptions across multiple aspects, with high ratings in pragmatic quality attributes such as perspicuity and efficiency, and hedonic qualities including stimulation and novelty. Overall, Meja Guru Academy presents an innovative and effective solution for advancing PPG students' evaluation competencies, fostering engagement and self-directed learning through gamified WBL.
SIPAS: Sistem Informasi Pengolahan Survei Untuk Optimalisasi Manajemen Data Survei Hidrografi Firdaus, Nabilah Zakiyah Salmaa; Nugroho, Muhammad Arief; Biantoro, Yudhi; Prasetya, Didik Dwi
Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Vol. 4 No. 5 (2025): EDISI SEPTEMBER 2025
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jursi.v4i5.11507

Abstract

Survei hidrografi menghasilkan volume data yang besar dan kompleks, sehingga memerlukan sistem pengelolaan yang sistematis, efisien, dan terstruktur untuk menjamin akurasi serta konsistensi dalam pengolahan data. Penelitian ini bertujuan untuk merancang dan mengembangkan SIPAS (Sistem Informasi Pengolahan Survei), sebuah sistem informasi berbasis web yang mendukung manajemen data survei hidrografi serta pemantauan progres pengolahan data secara real-time. Pengembangan sistem dilakukan menggunakan pendekatan model Waterfall, yang mencakup tahapan analisis kebutuhan, perancangan antarmuka pengguna dan basis data, implementasi sistem menggunakan framework Laravel dan basis data MySQL, serta pengujian fungsional menggunakan metode Black-Box. Hasil implementasi menunjukkan bahwa SIPAS mampu menyediakan autentikasi pengguna berbasis peran (Super Admin, Admin, dan User), pengelolaan data survei secara terorganisir, serta fitur pemantauan progres yang terintegrasi dan informatif. Pengujian menunjukkan seluruh fitur berfungsi sesuai dengan skenario uji, tanpa ditemukan kesalahan fungsi utama. Dengan demikian, SIPAS dinilai layak untuk digunakan sebagai alat bantu digital dalam mendukung efektivitas dan efisiensi pengolahan data survei hidrografi.
Multilingual Parallel Corpus for Indonesian Low-Resource Languages Sulistyo, Danang Arbian; Wibawa, Aji Prasetya; Prasetya, Didik Dwi; Ahda, Fadhli Almu’iini; Arya Astawa, I Nyoman Gede; Andika Dwiyanto, Felix
JOIV : International Journal on Informatics Visualization Vol 9, No 5 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.5.3412

Abstract

Indonesia has an extraordinary number of languages, with more than 700 regional languages such as Javanese, Madurese, Balinese, Sundanese, and Bugis. Despite the wealth of languages, digital resources for these languages remain scarce, making the preservation and accessibility of digital languages a significant challenge. Research was conducted to address this gap by building a multilingual parallel corpus consisting of more than 150,000 phrase pairs extracted from Bible translations in five regional languages in Indonesia. Rigorous preprocessing, normalization, and Unicode tokenization were performed to improve data quality and consistency. The encoder-decoder architecture was a key focus in the development of the NMT model. Evaluation focused on forward and backward translation directions, which were measured using BLEU scores. The results show that forward translation consistently outperforms backward translation. The Indonesian Javanese model produced a score of 0.9939 for BLEU-1 and 0.9844 for BLEU-4, indicating a high level of translation quality. In contrast, reverse translation tasks, such as translating from Sundanese to Indonesian, presented significant challenges, with BLEU-4 scores as low as 0.3173. This illustrates the complexity of the translation system from Indonesian to local languages. If future research focuses on transformer-based models and incorporates additional linguistic parameters to enhance the accuracy of natural language processing (NLP) models for Indonesia's underrepresented regional languages, this work provides a dataset that can be utilized for that purpose.
The Power of Play! A Review of Gamification Design Trends and Their Impact on Learning Outcomes Haq, Salsabila Thifal Nabil; Prasetya, Didik Dwi; Ichwanto, Muhammad Aris; Samodra, Joko; Prasetya, Luhur Adi
Edunesia : Jurnal Ilmiah Pendidikan Vol. 6 No. 3 (2025)
Publisher : Research, Training and Philanthropy Institution Natural Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51276/edu.v6i3.1340

Abstract

Digital transformation in education has accelerated the integration of gamification as an interactive and motivational learning strategy. This study presents a systematic literature review following the SPAR 4 SLR protocol, based on the analysis of 25 empirical research articles published between 2020 and 2025. The objective is to explore the distribution and impact of various gamification elements on cognitive, affective, and psychomotor learning domains. Elements that provide rewards, such as points (88%), badges (80%), and leaderboards (72%), were the most commonly applied in learning environments. In contrast, reflective features such as storytelling (20%), learner autonomy (24%), and role-playing activities (16%) were especially effective in increasing emotional involvement, self-directed learning, and practical abilities. Through thematic analysis using NVivo 12, the study found that external rewards often encourage only temporary motivation, whereas reflective components support more lasting and meaningful learning processes. The study concludes by recommending a balanced and goal-oriented approach to gamification design, which can strengthen its role as a transformative educational strategy in the digital learning era.
AI UNTUK GENERASI CERDAS: BELAJAR TEKNOLOGI BERSAMA PENDIDIKAN PROFESI GURU Abdul Wafi; Adi Wahyu Wardani; Ainun Nur Baiti; Dwi Widiyasari; Ella Amelia Widodo; Moh. Nur Zamzami; M. Ajie Kalifatullah; Khoirul Anwar; Sigit Perdana; Azhar Ahmad Smaragdina; Didik Dwi Prasetya
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 10 No. 03 (2025): Volume 10 No. 03 September 2025
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v10i03.30839

Abstract

The advancement of artificial intelligence (AI) technology presents both challenges and opportunities in the field of education. This report presents the outcomes of a community service activity conducted by lecturers and student-teachers from the Teacher Professional Education (PPG) Program at Universitas Negeri Malang through an educational talk show at SMA Negeri 8 Malang. The initiative aimed to improve digital literacy among students and teachers regarding the ethical and responsible use of AI. The talk show involved students, teachers, and student council members (OSIS), and featured expert speakers who discussed the fundamentals of AI, its applications, and associated risks such as technological dependency and academic plagiarism. The activity led to increased awareness of the benefits and challenges of AI, as well as the importance of academic integrity and character in its use. The school responded positively by establishing an AI Literacy Team, organizing teacher workshops, and launching the campaign “Smart AI, Not Instant AI.” This program serves as a model for promoting an adaptive and ethical digital culture within secondary education.
DEVELOPMENT OF HERBIFY APPLICATION WITH AI INTEGRATED UTILIZING YOLO V8 FOR OPTIMIZING HERBAL POTENTIAL IN INDONESIA Ahmad Fajruddin Syauqi; Prasetya, Didik Dwi
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.4.2094

Abstract

Indonesia is known as the home to 80% of the world's medicinal plant species, with an estimated 25,000-30,000 potential plants. However, this is in stark contrast to the current situation of limited access to herbal information, leading to restricted consumption and distribution of herbal products. The numerous digital platforms providing herbal data still fail to address this issue, as the information provided does not cater to the users' needs. Therefore, to address the current challenges in the Indonesian herbal industry, researchers developed an AI-integrated application called Herbify. The application was developed using the Agile Software Development Life Cycle method, chosen to meet user needs with a user-centered design approach. From this research, a mobile application with two main features, namely 'Herbalpedia' and 'Scanherbal,' was developed. Measurements through three methods: mAP matrix, usability tests, and user experience questionnaires (UEQ), yielded positive results. The measurement results show that the trained model achieved a 94.6% mAP with an inference time of 0.07965 seconds. Furthermore, the usability test results of the application show a 0% mission unfinished rate, with an average completion time of 10 seconds. The UEQ results indicate that the application has high usability, trustworthiness, and information quality. Based on these results, it can be concluded that Herbify has great potential to effectively optimize herbal potentials in Indonesia.
Pengembangan Aplikasi “Si Patin” Sebagai Media Pembelajaran pada Elemen Pembesaran Komoditas Perikanan Air Tawar Kelas XI SMK Setyani, Ida Agus; Prasetya, Didik Dwi; Tuwoso, Tuwoso
BRILIANT: Jurnal Riset dan Konseptual Vol 8 No 4 (2023): Volume 8 Nomor 4, November 2023
Publisher : Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/briliant.v8i4.1644

Abstract

Salah satu pengaruh perkembangan teknologi dan informasi dalam kehidupan sehari-hari adalah penggunaan smarphone. Penggunaan  smartphone  yang terbanyak pada siswa adalah untuk bermain games dan media sosial. Untuk menanggulangi hal tersebut perlu adanya inovasi penggunaan  smartphone  sebagai media pembelajaran sehingga siswa dapat belajar dengan mandiri melalui smartphone yang mereka punya, termasuk pada elemen Teknik Pembesaran Komoditas Perikanan Air Tawar SMK kelas XI, yang sudah menggunakan aplikasi Si Patin untuk melakukan pemberian pakan dan pengukuran kualitas air pada kegiatan praktik pembesaran ikan. Metode penelitian dan pengembangan yang digunakan adalah model ADDIE (Analysis, Design, Developmen, Implementation, and Evaluation),  karena sederhana, tahapan-tahapannya tidak terlalu panjang dan mudah untuk dipahami, selain itu di akhir setiap tahapan dapat dilakukan evaluasi sehingga dapat meminimalisir tingkat kesalahan dan kekurangan produk yang dikembangkan. Pengujian dilakukan oleh ahli media, ahli materi, dan uji kelompok kecil. Instrumen  pengumpulan data untuk mengetahui kelayakan pengembangan aplikasi Si Patin, menggunakan angket. Berdasarkan hasil analisis data validasi persentase kelayakan ahli media sebesar 96,05%, ahli materi sebesar 96,15%, dan hasil respon peserta didik pada uji kelompok kecil mendapatkan persentase sebesar 92,5%. Dengan demikian pengembangan aplikasi  Si Patin sangat layak digunakan sebagai media pembelajaran pada elemen pembesaran komoditas perikanan air tawar Kelas XI SMK.
Co-Authors Abdul Wafi Achmad Afif Irwansyah Adi Wahyu Wardani Ahmad Fajruddin Syauqi Ahmad Yusuf Setiawan Ainun Nur Baiti Aji P Wibawa Aji Prasetya Wibawa Akbar, Asna Isyarotul Andi Baso Kaswar Andi Baso Kaswar Andika Dwiyanto, Felix Andrew Nafalski Anik Nur Handayani Anjar Dwi Rahmawati Arifiati Fitri Anggraini Aripriharta - Aryo Pinandito Ashar, Muhammad Azhar Ahmad Smaragdina Bagaskoro Biantoro, Yudhi Bintang Romadhon Cakir, Gulsun Kurubacak Denis Eka Cahyani Dwi Widiyasari Dyah Ayu Langening Tyas Ella Amelia Widodo F.ti Ayyu Sayyidul Laily Fadhli Almu’iini Ahda Fadli Hidayat, M. Noer Fatrisna Salsabila, Reni Firdaus, Nabilah Zakiyah Salmaa Gradiyanto Radityo Kusumo Hafid, Ahmad Hairani Hairani Hakkun Elmunsyah Hanifah Muslimah Az-Zahra, Hanifah Muslimah Haq, Salsabila Thifal Nabil Hariyanto Hariyanto Hayashi, Yusuke Heru Wahyu Herwanto Hirashima, Tsukasa I Nyoman Gede Arya Astawa Ibrahim, Firmansyah Ilham Ari Elbaith Zaeni Intan Sulistyaningrum Sakkinah Iskandar Syah, Abdullah Kalifatullah, M. Ajie Khoirul Anwar KHOIRUL ANWAR Kusumo, Gradiyanto Radityo Laily, F.ti Ayyu Sayyidul Lalu Ganda Rady Putra Langlang Gumilar Lismi Animatul Chisbiyah Luqman Affandi Lutfi Budi Ilmawan, Lutfi Budi M. Ajie Kalifatullah Marsono Marsono Marsono Marsono Maskur Maskur Mayadi, Mayadi Mega Oktaviana Moh. Nur Zamzami Moh. Zainul Falah Muhammad Arief Nugroho Muhammad Aris Ichwanto muhammad hafiizh, muhammad Muhammad Jauharul Fuady Muhammad Mushawwir Muhammad Zaki Wiryawan Muhammad Zidni Ridlo Mukhamad Angga Gumilang Muladi Muttaqiyah, Khusnul Nadiah Alma Ratnaduhita Nadindra Dwi Ariyanta Nafalski, Andrew Nanscy Evi Wardani Natalina Wahyu Siswijayanti Nena Erviana Nunung Nurjanah Nur Hidayat, Wahyu Nuryakin, Mokhamad Perkasa, Gigih Prasetya, Luhur Adi Prasetyo, Muchamad Wahyu Pratiwi, Hardyanti Prihandicha, Adiftya Bayu Putro, Maulana Nur Antoro Ratnaduhita, Nadiah Alma Reni Fatrisna Salsabila Reo Wicaksono Ridlo, Muhammad Zidni Rofiudin, Amir Ryan Kurniawan Samodra, Joko Setiadi Cahyono Putro Setiawan, Ahmad Yusuf Setyani, Ida Agus Shafelbilyunazra, Alvalen Sigit Perdana Siti Sendari Sofiya Anggraini Sri Sumanti, Endang Sucipto Sucipto Sucipto Sucipto Sulistyo, Danang Arbian Syaad Patmanthara Syaichul Fitrian Akbar Syamsul Arifin Triyanna Widiyaningtyas Triyanna Widyaningtyas Triyanna Widyaningtyas, Triyanna Tsukasa Hirashima Tsukasa Hirashima Tsukasa Hirashima Tuwoso Usman Nurhasan Usman Nurhasan Utomo Pujianto Wahfi, Muhammad Fikri Wahyu Sakti Gunawan Irianto Wahyu Styo Pratama Wahyu Tri Handoko Wahyudi, Erlik Prasetyo Wardani, Adi Wahyu Wibawa, Aji P Wibisono Sukmo Wardhono, Wibisono Sukmo Widiyanti Widiyanti, Widiyanti Yana Andayani Yusril Imamuddin Zainul Falah, Moh.