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All Journal JURNAL ILMIAH PLATAX GEMA TEKNOLOGI POSITRON TRANSIENT: Jurnal Ilmiah Teknik Elektro Rekayasa Teknik Sipil BERKALA SAINSTEK Proceedings of KNASTIK Semantik Jurnal Simetris Jurnal Sains dan Teknologi Media Ilmu Keolahragaan Indonesia Jurnal Online Mahasiswa (JOM) Bidang Keguruan dan Ilmu Pendidikan Prosiding SNATIF Semantik : Jurnal Ilmiah Program Studi Pendidikan Bahasa dan Sastra Indonesia LingTera Psikopedagogia Journal of Degraded and Mining Lands Management Jurnal Informatika dan Teknik Elektro Terapan KEMBARA Jurnal Promkes: The Indonesian Journal of Health Promotion and Health Education JURNAL POENALE Sawwa: Jurnal Studi Gender E-Dimas: Jurnal Pengabdian kepada Masyarakat Sistemasi: Jurnal Sistem Informasi Jurnal Pendidikan Informatika dan Sains Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) KREDO : Jurnal Ilmiah Bahasa dan Sastra Jurnal Dimensi Pendidikan dan Pembelajaran JURNAL MANAJEMEN Jurnal Teknik Industri : Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri ARKESMAS [Arsip Kesehatan Masyarakat] JURNAL PENGABDI Pendas : Jurnah Ilmiah Pendidikan Dasar JOURNAL SPORT AREA Diglosia: Jurnal Kajian Bahasa, Sastra, dan Pengajarannya JUTIM (Jurnal Teknik Informatika Musirawas) Nurse and Health: Jurnal Keperawatan Jurnal Nasional Komputasi dan Teknologi Informasi IJID (International Journal on Informatics for Development) Literasi: Jurnal Ilmiah Pendidikan Bahasa, Sastra Indonesia dan Daerah JURTEKSI Jurnal Teknik Elektro dan Komputer TRIAC Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat JSI (Jurnal sistem Informasi) Universitas Suryadarma Arthavidya Jurnal Ilmiah Ekonomi EDUMATIC: Jurnal Pendidikan Informatika Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Jurnal SITECH : Sistem Informasi dan Teknologi Jurnal Onoma: Pendidikan, Bahasa, dan Sastra Jurnal Teknologi Informasi dan Pendidikan Building of Informatics, Technology and Science SCAFFOLDING: Jurnal Pendidikan Islam dan Multikulturalisme bit-Tech Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Pengabdian Masyarakat Bumi Raflesia JATI (Jurnal Mahasiswa Teknik Informatika) JOSSAE (Journal of Sport Science and Education) Jurnal Maenpo : Jurnal Pendidikan Jasmani Kesehatan dan Rekreasi JIKA (Jurnal Informatika) Jurnal Sistem Komputer dan Informatika (JSON) Community Development Journal: Jurnal Pengabdian Masyarakat Journal of Sport Coaching and Physical Education Edukasi Lingua Sastra Journal of Information Technology Ampera Indonesian Journal of Technology, Informatics and Science (IJTIS) Jurnal Kesehatan Tambusai Jurnal UNITEK Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat International Journal of Engineering, Science and Information Technology Jurnal Riset dan Inovasi Pembelajaran Jurnal Informatika Terpadu Bima Abdi: Jurnal Pengabdian Masyarakat Jurnal Elkasista Jurnal Pengabdian Olahraga Masyarakat Jurnal Pengabdian Masyarakat (ABDIRA) Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) JUSTIN (Jurnal Sistem dan Teknologi Informasi) Muria Jurnal Layanan Masyarakat Jurnal Olahraga Papua Kode : Jurnal Bahasa Jurnal Multidisiplin Madani (MUDIMA) Journal Of Human And Education (JAHE) Jurnal Pengabdian Masyarakat Akademisi Jurnal Pembelajaran Sastra Jurnal Sistem Informasi Dan E-Bisnis Proceeding ISETH (International Summit on Science, Technology, and Humanity) Jurnal Ilmiah Edutic : Pendidikan dan Informatika Jurnal Pengabdian Masyarakat Bhinneka Prosiding University Research Colloquium Jurnal Pengabdian Masyarakat Medika Acitya Wisesa: Journal of Multidisciplinary Research Adopsi Teknologi dan Sistem Informasi Indonesian Research Journal on Education Innovative: Journal Of Social Science Research Jurnal Material dan Energi Indonesia Jurnal Dehasen Mengabdi Jurnal Pendidikan Sultan Agung Mining Science and Technology Journal Physical Therapy Journal of Indonesia Abdimas Mandalika Komunita: Jurnal Pengabdian dan Pemberdayaan Masyarakat Journal of Emerging Science and Engineering Jurnal Ilmiah Ekonomi dan Manajemen BAHASTRA Jurnal Pengabdian Masyarakat dan Riset Pendidikan Jurnal Ilmiah Sistem Informasi JURNAL TEKNOLOGI MINERAL FT UNMUL Jurnal Teknologi Mineral dan Batubara FISIO MU: Physiotherapy Evidences Journal of Physical Education and Sports Indonesian Mining Journal JIS semanTIK BIO PALEMBANICA ACPES Journal of Physical Education, Sport, and Health Joong-Ki Jurnal Teknologi Sumberdaya Mineral ALMUISY: Journal of Al Muslim Information System International Journal of Artificial Intelligence and Science Interelasi Humaniora Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Jurnal Penelitian Sains Teknologi
Arif Setiawan
Universitas Muria Kudus
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering 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 Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Other

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Implementasi Sistem Informasi Pengaduan Masyarakat (Simas) Berbasis Website: Studi Kasus Balai Desa Pedawang Kudus Rahmawati, Dwi; Setiawan, Arif
Bima Abdi: Jurnal Pengabdian Masyarakat Vol. 5 No. 1 (2025): Bima Abdi: Jurnal Pengabdian Masyarakat
Publisher : Yayasan Pendidikan Bima Berilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53299/bajpm.v5i1.1461

Abstract

Teknologi telah memberikan dampak besar dalam berbagai aspek kehidupan, termasuk dalam pengelolaan administrasi di tingkat pemerintahan desa. Balai Desa Pedawang, yang terletak di Kecamatan Bae, Kabupaten Kudus, masih menggunakan sistem manual dalam pengelolaan pengaduan masyarakat, yang menyebabkan kurangnya efisiensi dalam pencatatan, pemantauan, dan tindak lanjut laporan. Sistem manual ini menimbulkan berbagai kendala, seperti laporan yang tercecer, kesulitan dalam rekapitulasi data, serta kurangnya transparansi dalam penyelesaian pengaduan. Pengabdian ini bertujuan untuk merancang dan mengimplementasikan Sistem Informasi Pengaduan Masyarakat (SIMAS) berbasis website di Balai Desa Pedawang. Sistem ini memungkinkan warga untuk menyampaikan laporan secara online tanpa harus datang langsung ke kantor desa, serta memberikan kemudahan bagi perangkat desa dalam mengelola dan memantau status pengaduan secara real-time. Simas ini mampu meningkatkan efisiensi dalam pencatatan dan pemantauan pengaduan, mempercepat proses tindak lanjut, serta meningkatkan transparansi antara pemerintah desa dan masyarakat.
Pengembangan Sistem Manajemen Data Siswa Berbasis Web di Sekolah Dasar Pratama, Bayu; Setiawan, Arif
Bima Abdi: Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2025): Bima Abdi: Jurnal Pengabdian Masyarakat
Publisher : Yayasan Pendidikan Bima Berilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53299/bajpm.v5i2.1968

Abstract

Sistem manajemen data siswa berbasis web di SD Negeri Purworejo 02 pada pengaplikasian data siswa masih menggunakan bentuk manual. Penggunaan bentuk data manual rentan kehilangan data, kesulitan mencari data, dan kerusakan data karena masih menggunakan bentuk manual. Kegiatan ini bertujuan untuk merancang dan mengembangkan Sistem Manajemen Data Siswa berbasis web guna meningkatkan akurasi, kecepatan, dan keamanan dalam pengelolaan data siswa. Metode yang digunakan dalam pengembangan sistem mencakup analisis kebutuhan, implementasi dan penerapan sistem, dan evaluasi kinerja sistem. Hasil dari kegiatan pengabdian dari mulai analisis kebutuhan mencakup ke butuhan sistem di SD Negeri Purworejo 02 dengan permasalahan tersebut merancang sistem manajemen data siswa berbasis web. Implementasi dalam peneltian ini mencakup bagaimana kekurangan dan kelebihan sistem manajemen data siswa. Tahap akhir yaitu evaluasi mencakup guna untuk mengoptimalkan sistem agar secara maksimal sesuai analisis kebutuhan pada wawancara dan observasi di SD Negeri Purworejo 02. Hasil tersebut    menunjukkan  bahwa  pengembangan sistem manajemen data siswa berbasis web di SD  ada  peningkatan  dalam pendataan siswa. Hasil dari peneltian mendukung proses pendataan siswa yang lebih akurat, terstruktur, lebih mudah, cepat dan aman. Instrumen yang digunakan dalam penelitian ini menggunakan wawancara, observasi, dan studi dokumentasi.
Pelatihan Manajemen Cedera Olahraga Dalam Peningkatan Pelayanan Penanganan Cedera Untuk Pelatih Olahraga dan Masseur Cabang Olahraga Senam Setiawan, Arif; Priyanto, Priyanto; Aziz, Zainul
Jurnal Pengabdian Olahraga Masyarakat Vol 4, No 2 (2023): November 2023
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jpom.v4i2.17433

Abstract

Pelaksanaan program latihan yang dilakukan secara terus-menerus dengan jadwal pertandingan yang padat berpotensi menimbulkan cedera pada atlet. Cedera yang dialami atlet harus segera diketahui dan dipahami oleh seluruh tim pendukung yang mendukung program latihan, termasuk oleh pelatih dan asisten masseur di bidang olahraga. Kurangnya sosialisasi tentang tahapan penanganan jika terjadi cedera pada seorang atlet. Tujuan dari pelatihan yang dilakukan kepada tim pelatih dan masseur pendamping olahraga adalah pemahaman mengenai tahapan penanganan dan latihan dalam melakukan manajemen nyeri pada atlet cedera. Metode yang digunakan adalah dengan memberikan bantuan kepada tim pelatih dan masseur kemudian diberikan kuisioner mengenai hasil pelatihan yang dilakukan. kuesioner diberikan kepada pelatih untuk pelatih dan masseur dalam menyikapi program latihan, serta diberikan kepada atlet terkait pelayanan yang diberikan setelah pelatih dan masseur mendapat pelatihan. program pelatihan menghasilkan pemahaman yang maksimal. Respon pelatih terhadap program pelatihan 80% sangat baik, respon masseur 85% tepat sasaran tim masseur. Respon atlet terhadap pelayanan yang diberikan, keterampilan masseur meningkat dalam menganalisis dan menangani serta menangani cedera yang dialami atlet. kesimpulannya terdapat peningkatan pemahaman dan keterampilan manajemen cedera pada pelatih dan tim masseur
Analisis Sentimen Ulasan Aplikasi Gojek Menggunakan Support Vector Machine Dan Random Forest Aditya, Azka Bima; Samsudin, Syafri; Rizki, Winahyu Pandu; Mahendra, Mahir; Setiawan, Arif
Jurnal Informatika Terpadu Vol 11 No 2 (2025): September, 2025
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jit.v11i2.1884

Abstract

The rapid development of digital transportation, such as Gojek, requires a deep understanding of user satisfaction. This study analyzes the sentiment of Gojek application reviews to evaluate public opinion and compare the performance of the Support Vector Machine (SVM) and Random Forest models. A quantitative experimental method was applied to 30,055 user reviews for versions "4" and "5" from the Google Play Store. The data underwent comprehensive text preprocessing, automatic sentiment labeling using VADER enriched with an Indonesian lexicon, and TF-IDF feature extraction. The training data imbalance was addressed using SMOTE before the data was split for training and testing. The results show that user sentiment was dominated by positive (38.9%) and neutral (38.2%) categories. In the performance evaluation, the SVM model demonstrated superior performance with 96% accuracy and an F1-score of 0.96, outperforming the Random Forest model, which achieved 93% accuracy and an F1-score of 0.93. In conclusion, SVM is a more effective model for sentiment classification of Gojek reviews. Future research is recommended to refine the lexicon and implement aspect-based analysis to obtain more detailed insights.
Developing speaking skill learning materials based on Natural Order Hypothesis Setiawan, Arif; Pranowo, Dwiyanto Djoko
LingTera Vol. 9 No. 1 (2022)
Publisher : Department of Applied Linguistics, FBSB, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/lt.v9i1.54358

Abstract

The literature on the teaching of English at higher education in Indonesia reflects that both English and non-English departments pay equal attention to the four language skills, namely speaking, listening, reading, and writing. However, there are still issues in the teaching of speaking skills especially in the English instruction for the non-English majors. This research tried to solve the issues using interventions in the form of learning materials focused on speaking skills based on Natural Order Hypothesis by Brown (1973), Burt (1974, 1975), and Krashen (1982, 2009, 2013) as well as the lesson plans used in the teaching of English for non-English majors in a state university in Yogyakarta. The materials were validated by subject experts and a field trial involving participants of 30 non-English department students was conducted. The effectiveness of the materials was measured using a validated instrument that had been pilot-tested to 10 respondents of the same backgrounds as the participants of the field trial. The research instrument utilized Sugiyono's (2015) formula with the results showing a percentage of 86.37 out of a possible 100%, which means that the materials are in the category of "˜highly acceptable'.
Research Patterns on Critical Thinking Skills in Indonesian Language and Literature Journals in PPJB-SIP Abda’u, Muhammad Fishal Putra; Setiawan, Arif; Musaffak; Yunisa Oktavia
Jurnal Multidisiplin Madani Vol. 3 No. 12 (2023): December, 2023
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/mudima.v3i12.3437

Abstract

This research is aimed to describe (1) types of research (2) types of quantitative research that is used to analyze critical thinking skills, (3) research subjects that is used by the researchers to examine critical thinking skills, (4) data collection instruments that is used by the researchers to determine critical thinking skills, (5) data analysis methods that is used by the researchers researchers to determine critical thinking skills, and (6) research profiles of critical thinking skills from year to year. The research used content analysis. The data obtained in this research were 26 articles written in journals incorporated in the PPJB-SIP website and database, so that the data in this research were the result of content analysis of research articles on critical thinking skills. The instrument used in this research was content analysis guidelines. The results showed that (1) the dominant type of research used by the researcher was quantitative research, (2) the experimental research design was the most dominant research design used, (3) the research subjects used were dominated by students, (4) the test instrument was the most frequently used instrument to investigate critical thinking skills, (5) the more dominant data analysis method was the t-test, and (6) the research on critical thinking skills was conducted from 2010-2021 with the highest results in year 2019. Finally, this research will be useful in providing valuable information about patterns of critical thinking skills, as well as the basis for familiarizing critical thinking skills in the information age and digital technology
Implementation of the K-Nearest Neighbor (KNN) Algorithm in Handwritten Digit Pattern Recognition Using the Zoning Method Asmaraloka, Afilda Maharani; Nisa, Kharisatun; Hermansyah, Muhammad Ardi; Saputra, Fikri Hamdhan Dwi; Setiawan, Arif
Jurnal Ilmiah Sistem Informasi Vol. 4 No. 2 (2025): Mei : Jurnal Ilmiah Sistem Informasi
Publisher : LPPM Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/kf6s5f56

Abstract

Handwritten digit recognition is one of the key challenges in the field of digital image processing and artificial intelligence, with significant potential in various applications such as automatic form input systems, handwritten data correction, and attendance systems based on handwriting. This study aims to develop a web-based information system capable of automatically recognizing handwritten digits using the K-Nearest Neighbors (KNN) classification method. The system is designed through several main stages, including image preprocessing (conversion to grayscale, thresholding, and image size normalization), feature extraction using the zoning technique, and classification using the KNN algorithm. This research utilizes the MNIST dataset, which contains thousands of handwritten digit images ranging from 0 to 9. The system is developed using the Google Colab platform, supported by Python libraries such as OpenCV, NumPy, and Scikit-learn. Test results show that the system can achieve an accuracy of over 90% at certain K values, indicating that the KNN method is quite effective and efficient in recognizing handwritten digit patterns. This system is expected to be applicable for various digitization needs of handwritten numbers in education, administration, and information technology sectors
KNN-Based Handwritten Digit Classification with Accuracy Analysis and Visualization Maulana, Muhammad Rizky; Nugroho, Adiv Prasetyo; Adinata, Ferdyan Candra; Haidar, Nova Briyan; Setiawan, Arif
Jurnal Ilmiah Sistem Informasi Vol. 4 No. 2 (2025): Mei : Jurnal Ilmiah Sistem Informasi
Publisher : LPPM Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/776j7727

Abstract

The rapid advancement of information technology has had a significant impact in various fields, particularly in pattern recognition and image processing. One of the ongoing challenges is accurately recognizing handwritten digits, which plays a crucial role in document digitization, automated form reading, and other intelligent systems. This study aims to implement and evaluate the K-Nearest Neighbors (KNN) algorithm, a simple yet effective classification technique, in recognizing handwritten digit images. The data used comes from the public dataset load_digits from Scikit-learn, which contains 1,797 grayscale images of handwritten digits sized 8x8 pixels. Each image is represented as a 64-dimensional feature vector. The dataset is split into training and testing data with an 80:20 ratio, and the model is trained using KNN with k=3. The experimental results show a classification accuracy of 96.94%, with minimal prediction errors that typically occur in digits with similar visual shapes, such as 5 and 9. This study demonstrates that KNN, despite its simplicity, can provide high accuracy in handwritten digit recognition when supported by proper preprocessing and parameter selection. The implications of this research highlight the potential for developing intelligent applications in education, data entry automation, and identity verification.
PROFIL ARTIKEL GURU SD MUHAMMADIYAH 8 DAU DALAM PELATIHAN DAN PENDAMPINGAN PENULISAN ARTIKEL ILMIAH Setiawan, Arif; Mujianto, Gigit; Tinus, Agus
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 4 No. 6 (2023): Volume 4 Nomor 6 Tahun 2023
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v4i6.24431

Abstract

Salah satu kompetensi yang harus dimiliki oleh seorang guru adalah kompetensi profesional. Kompetensi profesional meliputi (1) kompetensi dalam menyelenggarakan pembelajaran dan (2) kompetensi dalam menulis artikel ilmiah, baik dari hasil kegiatan Penelitian Tindakan Kelas (PTK) dan laporan kegiatan Lesson Study (LS). Namun realitanya masih banyak guru yang masih mengalami kesulitan dalam menulis, utamanya dalam menulis karya ilmiah. Salah satunya dialami oleh guru Sekolah Dasar Muhammadiyah 8 Dau di Kabupaten Malang. Sebagian besar guru di SD Muhammadiyah 8 Dau masih belum mampu melakukan penulisan artikel ilmiah. Metode pelaksanaan dalam kegiatan pengabdian ini adalah pelatihan dan pendampingan yang meliputi enam kegiatan, (1) berbagi permasalahan dengan Pimpinan Sekolah/Kepala Sekolah dan guru, (2) ekspositori konsep dari permasalahan, (3) pelatihan penulisan artikel ilmiah, (4) pendampingan proses penulisan artikel ilmiah, (5) evaluasi kegiatan pelatihan dan pendampingan penulisan artikel ilmiah, dan (6) kegiatan publikasi artikel ilmiah di jurnal SAINTIFIK milik Majelis Dikdasmen Pimpinan Daerah Muhammadiyah (PDM) Kabupaten Malang. Hasil kegiatan pelatihan dan pendampingan penulisan artikel ilmiah adalah sebanyak 18 artikel ilmiah. Dari 18 artikel ilmiah, 6 artikel ilmiah telah menggambarkan artikel ilmiah hasil penelitian, sedangkan 12 artikel ilmiah lainnya masih belum menggambarkan artikel ilmiah hasil penelitian, namun lebih mirip dengan artikel hasil pemikiran. Berdasarkan penilaian Tim pengabdian, kegiatan pelatihan dan pendampingan penulisan artikel ilmiah yang dilakukan di SD Muhammadiyah 8 Dau telah memberikan manfaat. Hal ini didasarkan pada respon yang disampaikan oleh 15 orang guru yang menjadi peserta kegiatan pelatihan dan pendampingan penulisan artikel ilmiah.
Classification of Aquatic Species in Cultivation Ponds via Image Processing and Machine Learning Setiawan, Arif; Wahyu Wibowo, Angga; Setiaji, Pratomo; Agus Triyanto, Wiwit; Arifin, Muhammad
International Journal of Artificial Intelligence and Science Vol. 2 No. 1 (2025): March
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/IJAIS.v2.i1.9

Abstract

Fish cultivation is a vital economic activity for coastal communities, yet traditional farming methods often face challenges such as environmental instability, feeding inefficiencies, and water pollution. Effective monitoring of underwater environments is essential to improve fish quality and farming efficiency. A crucial part of this process is the accurate classification of fish and non-fish objects. This study proposes a method for underwater classification using morphometric feature extraction and machine learning techniques. The research process involves six main steps: (1) preparation of Region of Interest (ROI) detection data, (2) extraction of morphometric features—length (L) and width (W), (3) feature computation, (4) data partitioning for training and testing, (5) classification using Support Vector Machine (SVM), Random Forest (RF), and K-Nearest Neighbor (KNN), and (6) evaluation using a confusion matrix. Among all models tested, the Random Forest algorithm yielded the highest accuracy at 93%, with classification results showing True Positive = 349, False Positive = 28, True Negative = 223, and False Negative = 0. The findings highlight RF’s potential for enhancing automated fish monitoring in smart aquaculture systems.
Co-Authors - Supriyono Abda’u, Muhammad Fishal Putra Abdillah, Hasri Abdul Muid Abdurrosyid Abdurrosyid Adi Nugroho Adi Purnomo Adi Saputra, Diyas Aditya Adinata, Ferdyan Candra Aditya, Azka Bima Adnan Faris Naufal Afif, Faisal Agus Pujianto Agus Winarno, Agus Agustinus Agustinus Aisyi, Valerian Hakas Riha’ Aji, Galih Lastiko Akhror, Ubaidillah Almahdy, Muhammad Albi Amalia Safitri Ambarsari, Ika Sartika Amini, Aisyah Ananda, Dea Mierela Andalas, Eggy Fajar Andika Dwi Nurliansyah Andri Akhiruyanto Andrian, Nawang Alan Andy Prasetyo Utomo Aninda Nidhommil Hima Anindita Hasniati Rahmah Anshori, Ammar Miftahudin Apridiansyah, Yovi Ardani Ardani Ardhan Ismail Arif Prasetyo Wibowo Arif Pristianto Arini Nur Rohmah Arrohman, Muhammad Rizki Arti Prihatini asmaraloka, afilda maharani Asy Syifaur Roisah Rufaida Avanti Vera Risti Pramudyani Azhar, Ahmad Farid Al Aziz, Zainul Azzahra, Nabila Azzahro, Fatimah Bagus Deva Pratama, Mohammad Bayu Pratama, Bayu Bima Putra Pradata, Aria Bintang Bahariawan Cahyo, Aditya Nur Candra, Adiska Rani Ditya Catri, Indra Catur Edi Widodo Daroe Iswatiningsih Deavisca, Kenza Viorel Dedi Haryanto DENI SETIAWAN Derana, Ganes Tegar Devi Afriyantari Puspa Putri Dewangga, Mahendra Wahyu Diah Priyawati Diana Laily Fithri Diantari, Febri Rizki Dimas Yoga Ardyansyah Dwi Ernawati DWI RAHMAWATI Dwi Yuwono Puji Sugiharto, Dwi Yuwono Puji Dwiyanto Djoko Pranowo Dyah Sawitri Edy Purwanto Eko Darmanto Endang Eni Kamal Eny Pemilu Kusparlina Eri Barlian Erna Herawati, Erna Faizah, Ishmah Nur Fajar Nugraha Fajariyansyah, Arif Farras, Adilah Fathon, Ulil Fauzan . Febriansyah, Ilham Arif Felix, Igor Firda, Fathiyyatu Assa'diy Fitri, Anida Azkia Ghofar, Muhammad Abyyu Gigit Mujianto Giova, Giova H Hadiyanto Haidar, Nova Briyan Hang, Nguyen Thi Thu Hardika Dwi Hermawan Hari Asri, Hazqan Haried Novriando Harsono Hartono, Rudi Haryeni Hasan, Cahulul Rizaldy Hasany, Iddi Octavian Heldi Hermansyah, Muhammad Ardi Hermawan Hermawan Hikhmah, Fitria Nurul Hima, Anindha Nidhomil Hiu, Ho Ngoc Hutapea, Ricardo O. M. Ihza, Andika Ijlal, Muhammad Yusuf Luthfi Ilham, Ilham Jaya Kusuma Dwi Syahputra Imam Taufiqurrahman Imbo, Yuldi Christiani Ina Kusumawardani Alina Fakhri Indang Dewata Indriani Zabrina Putri Ipang Setiawan Irawan, Yosan Ananda Irfanuddin, Muhammad Fikri Irma Nirmala Irsan Tricahyadinata Islamy, Yans Fithratul Ismiyati, Ismiyati Izzatul Arifah Jelibseda Jepri, Jumadi Julfiyatun, Rossa Kamaludin, Ahmad Karlina, Nelly Kartika Senjarini Karyanto, Muhammad Dhaffa Kharis Ferdiansyah Kharisma, Rendra Khoiroh, Zahro Istitho'atul Khoirul Anwar, Mohammad Kurniawan, Moh Adi Kurniawan, Rizky Dwi KUSNAN Lamma, Louis Hermanus Lamma, Luis H Lina Alfiyani Maharani, Vanessa Mahendra, Mahir Mahfuzhi, AR Walad Mardhiati, Retno Maryanti, Herdina Maulana, Mokhammad Irvan Maulana, Muhammad Rizky Maulindar, Joni Mazala Istiqoma, Binta Melati, Inka Krisma MUCHAMMAD FAIZIN Muhammad Arifin Muhammad Fajri Muhammad Mursyid Muhammad Rendy Mujiati, Dwi Sinta Mulyana, Deny Murtadha, Naji Ammaruddin Musaffak Musaffak Musaffak Muslikha Ningrum, Rini Nanda Putra, Wafig Nanik Susanti Nasuka Nasuka, Nasuka Netrawati, Netrawati Nila Nugraha Ningrum Nisa, Kharisatun Nita Wijayanti, Ni Putu Noor Latifah Nugraheni, Imma Redha Nugroho, Adiv Prasetyo Nurul Fatimah Oktavia, Elfitri Oo, Cherry Zin Pambudi, Satrio Paray Theo Lonando Pinaldin, Ahmed Fisqiya Pramudya Kurnia Prastyo, Andik Pratama, Satria Adi Pratomo Setiaji Priyanto Priyanto Priyanto Puji Muniarty Purwanto, Ari Joko Purwati Anggraini, Purwati Putra Abda’u, Muhammad Fishal Putra Janaz Alfinalis Putra, Dimas Radika Putri , Nuristiqomah Dwi Putri Kurnia Handayani Putri, Nourma Fatmala Qoiriningrum, Adde Putri Qolbia Salamah, Naurag Qolbia, Naurah QULUB, ALFI RIFQI R Rhoedy Setiawan Rahmadani Siregar, Dewi Rahman, Chirza Rahmatika, Alifia Ayu Rahmawati, Amelia Raka Purnama, Bramasetya Rendratama, Wahyu Adhi Revia Oktaviani Rizki, Winahyu Pandu Rohmad Widodo Rosyada, Mila Rosyid, Fadhila Achmadi Ryan Rizki Adhisa Safitri, Dyah Nurul Safrida Ika Febrianti Safriyanti, Mia Saghita Pratama, Rivan salamah salamah Salisa, Sabina Es Samsudin, Syafri Santi Pratiwi Tri Utami Saputra, Fikri Hamdhan Dwi Sari, Ananda Mutiara Sartono Joko Santosa Saskia Aila Virda Sattya Arimurti Saumanuk, Ismael Setiawan, Faris Apri Shabrina Ramadhani, Nur Sholva, Yus Siswadi Siti Ifa Septiana Sobihin, Sobihin Soedjatmiko Soedjatmiko Sonny, Michael Sri Narni, Nani Sri Wahyu Basuki Sriyono Subali Subali Sudeka, Muzhadan Suhendrinal Sujalwo Sujalwo, Sujalwo Sukmariantika, Alldila Zuneasili Sulistyani, S Supriyono Supriyono Supriyono Supriyono Surya Amalia, Pinkan Surya, Lintang Surya, Pinkan Suryapranatha, Dicky Susatyo Handoko Susi Herawati Sutoyo Sutoyo Syafaat, Mokhamad Syafiul Muzid Syifau, Yuni Tafta Mahendra, Alfianas Shofi Tama, Ady Taufik Akhyar Taufik Eko Susilo Tengku Riza Zarzani N Tinus, Agus TUNA, MIRANDA SAHFIRA Ulinnuha, Muhammad Ullul Azmie, Fadila ulumuddin, Muhammad Ihya Umar, Iswandi Umi Mahmudah Utami, Mila Cahya VIVIN EKA RAHMAWATI Wahid, Burhanudin Nur Wahyu Mahendra, Indra Wahyu Wibowo, Angga Wahyuningsih Wahyuningsih Wibowo, Hari Tri Widany, Chelyn Audya Widya Kaharani Putri Wijiyanto, Dwi Winonazada, Rety Wira, Rahmayani Ayu WISNU SAPUTRA Wiwit Agus Triyanto Wulandari, Nadia Putri Yoanas, Sahenda Yudhistira, Dewangga Yudie Irawan Yuli Kusumawati Yulia Putri Paradida Yuliandika Saputra, Dwi Yuningtyastuti Yuningtyastuti Yunisa Oktavia Yusuf, Henry Baharudin Zaidan Syauqi, Gutti Zainur, Zainur Zidni Muhammad Ardiansyah