Article Per Year (5 Year)
p-Index From 2021 - 2026
9.353
P-Index
This Author published in this journals
All Journal International Journal of Evaluation and Research in Education (IJERE) Jurnal Media Infotama Jurnal Pseudocode Jurnal Informatika Upgris Sistemasi: Jurnal Sistem Informasi INTECOMS: Journal of Information Technology and Computer Science Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JE (Journal of Empowerment) JSAI (Journal Scientific and Applied Informatics) Journal of Technopreneurship and Information System (JTIS) Progresif: Jurnal Ilmiah Komputer Jurnal Pengabdian Masyarakat Bumi Raflesia JATI (Jurnal Mahasiswa Teknik Informatika) Journal of Empowerment Community Prima Abdika: Jurnal Pengabdian Masyarakat Djtechno: Jurnal Teknologi Informasi Jurnal Abdimas Serawai International Journal of STEM Education for Sustainability Jurnal Komputer, Informasi dan Teknologi Jurnal Media Computer Science JIMAKUKERTA Malcom: Indonesian Journal of Machine Learning and Computer Science Mestaka: Jurnal Pengabdian Kepada Masyarakat Kreativitas Pada Pengabdian Masyarakat (Krepa) Jurnal Komputer Indonesia Kohesi: Jurnal Sains dan Teknologi Jurnal INFOTEL Jurnal Al-Maun Abdi Reksa Jurnal Pengabdian Masyarakat Tekno Jurnal TAM (Technology Acceptance Model)
Muntahanah, Muntahanah
Universitas Muhammadiyah Bengkulu
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Nursing Public Health Social Sciences Other

Published : 97 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 97 Documents
Search

 6   7   8   9   10 
IDENTIFIKASI CYBERBULLYING PADA MEDIA SOSIAL MENGGUNAKAN ALGORITMA NAÏVE BAYES Nita, Taura; Alam, RG Guntur; Muntahanah, Muntahanah
Djtechno: Jurnal Teknologi Informasi Vol 6, No 2 (2025): Agustus
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/djtechno.v6i2.7154

Abstract

Platfom mendorong pertumbuhan sosial media sebagai sarana komunikasi utama dalam kehidupan sehari-hari. Platfom seperti Instagram yang dapat menggunakan kata-kata, gambar, atau video untuk mengekspresikan diri dan berbagi informasi. Media sosial menawarkan banyak manfaat, tetapi juga bisa membuka peluang bagi munculnya berbagai perilaku negatif, Cyberbullying, yang sering dikenal sebagai perundungan di dunia maya, adalah salah satunya. Data untuk penelitian ini diambil melalui crawling igcomment.com, yang bisa menggambil komentar dengan mengklik linknya dan masukkan salin link video ke dalam tautan postingan. Teknik ini memungkinkan untuk mengekstrak data dari komentar pos di Instagram, yang akan digunakan sebagai sumber data. Informasi yang dikumpulkan terdiri dari komentar yang ditinggalkan pada postingan yang dibuat oleh akun @safnoviart.  Periode pengumpulan data adalah dari 28 April 2025 hingga 4 Mei 2025. Selanjutnya hasil dari pelabelan akan dialkukan Tokenizing, cleaning data, Removal, Stemming, stopword, casefoldin adalah semua contoh praproses yang akan dilakukan. TF-IDF kemudian akan digunakan untuk memberikan bobot pada setiap kata dalam dokumen. Evaluasi terhadap model dilakukan dengan membandingkan hasil prediksi dengan membandingkan pelabelan awal pada data uji dengan hasil yang diharapkan. Dari total 203 data uji, model berhasil memcapai akurasi sebesar 93.10%, dengan precision 94.44%, recall 98.42%, dan F1-score 96.38%. ini menunjukkan bahwa model cukup efektif dalam mengenali komentar bullying secara tepat dan menyeluruh. Penggunaan algoritma Naïve Bayes terbukti bisa membantu mengelompokkan komentar secara otomatis  berdasarkan kata-kata yang sering muncul dalam komentar bullying. Pendekatan ini cukup menjanjikan dan bisa dikembangkan lebih lanjut sebagai alat bantu untuk mendeteksi cyberbullying.
Analisis Efektivitas Pengenalan Perintah Suara Menggunakan Algoritma Machine Learning untuk Mendukung Pembelajaran Digital di Wilayah Bengkulu Putra, Fherdi Hunata; Albar, Ahmad Rere; Kurniawan, Andre; Okta, Leo; Akbar, Anggi Sunata Nur; Fitriah, Fitriah; Muntahanah, Muntahanah
Mestaka: Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 4 (2025): Agustus 2025
Publisher : Pakis Journal Institute

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

Abstract

This study aims to evaluate the effectiveness of a voice command recognition system based on Machine Learning algorithms in supporting digital learning at Panti Asuhan Kasih Sayang, Bengkulu City. Four models were tested: DNN, LSTM, CNN, and Transformer. The Transformer model demonstrated the best performance with an accuracy of 93.4%, precision of 91.8%, recall of 92.1%, and F1-score of 92.0%, followed by LSTM with 90.2% accuracy, and DNN as the baseline with 84.7%. The system was tested in real-time with an average latency of 320ms and handled up to 28 voice commands per minute. The use of this system increased participants’ post-test scores by an average of 18 points and enhanced learning engagement by 85%. Qualitative data from interviews and focus group discussions indicated that the system supported students who struggle with text-based interfaces and was perceived as interactive and easy to use. These findings show that ASR based on Machine Learning is effective in low-resource settings and supports more inclusive learning aligned with the principles of Society 5.0.
Perbandingan Naïve Bayes dan Support Vector Machine Dalam Analisa Sentimen Tentang Penyitaan Aset Koruptor di Twitter: Comparison of Naïve Bayes and Support Vector Machine in Sentiment Analysis of Confiscation of Corrupt Assets on Twitter sholekhah, Ananda; Muntahanah, Muntahanah
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 5 No. 3 (2025): MALCOM July 2025
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v5i3.2068

Abstract

Analisis sentimen merupakan salah satu pendekatan dalam memahami persepsi publik terhadap isu-isu sosial dan kebijakan pemerintah melalui data teks. Penelitian ini mengkaji opini masyarakat Indonesia terhadap pernyataan Presiden Prabowo Subianto mengenai penyitaan aset koruptor yang berbunyi “Apakah adil anaknya menderita?”. Data dikumpulkan dari Twitter sebanyak 1.561 tweet dalam rentang waktu 9 hingga 25 April 2025 dengan menggunakan kata kunci yang relevan. Proses analisis dilakukan melalui tahap prapemrosesan, pembobotan TF-IDF, dan klasifikasi menggunakan algoritma Naïve Bayes dan Support Vector Machine (SVM). Evaluasi performa model dilakukan menggunakan confusion matrix serta empat metrik evaluasi, yaitu akurasi, presisi, recall, dan F1-score. Hasil menunjukkan bahwa SVM unggul dengan akurasi 70,51% dan F1-score 0,69, sedangkan Naïve Bayes memperoleh akurasi 66,34% dan F1-score 0,66. Sentimen terbanyak berasal dari kelas positif, mengindikasikan mayoritas publik mendukung penyitaan aset koruptor meskipun berdampak pada keluarganya. Penelitian ini memperlihatkan efektivitas pendekatan machine learning dalam memetakan opini publik terhadap isu kebijakan kontroversial di media sosial.
3D Model Bahan Ajar Pengenalan Hewan Berbasis Augmented Reality Apridiansyah, Yovi; Wibowo, Sastya Hendri; Muntahanah, Muntahanah; Apriansyah, Nugraha
Jurnal Media Infotama Vol 21 No 2 (2025): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i2.9307

Abstract

his study aims to develop an interactive learning media based on Augmented Reality (AR) technology to support the introduction of animals to elementary school students. The learning media is designed in the form of 3D animal models that visually represent the name, habitat, and characteristics of each animal. The 3D models were developed using Blender software and implemented into the AR Web Studio platform, allowing users to scan markers using a mobile device camera and display animal objects in real-time. The research method used is Research and Development (R&D), consisting of several stages: problem formulation, data collection, media development, implementation, and system evaluation. Testing was conducted using two approaches: technical testing with the black-box method and user testing through questionnaires distributed to several elementary school teachers. The technical testing results showed that all system features, such as marker detection, 3D model display, and user interaction, functioned properly. Meanwhile, user testing revealed an average satisfaction score of 76.9%, which falls into the “Good” category. Based on these results, it can be concluded that the AR-based animal learning media is feasible to use and provides a positive contribution to increasing students’ interest and understanding of the learning material in an interactive manner.
PEMBUATAN MEDIA PEMBELAJARAN DAN POSTER DENGAN CANVA UNTUK MENINGKATKAN KREATIVITAS SISWA SERTA GURU SMK NEGERI 1 BUNGO -, Rozali Toyib; Hidayah, Agung Kharisma; Darnita, Yulia; Muntahanah, Muntahanah; Hendri, Sastya; Diana, Diana; Witriyono, Harry
Journal of Empowerment Community Vol. 6 No. 1 (2024): Maret 2024
Publisher : Universitas Perjuangan Tasikmalaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36423/jec.v6i1.1315

Abstract

Media pembelajaran membutuhkan kreativitas baik dari siswa maupun guru. sangat penting untuk dapat mengatur materi kelas yang menarik secara visual seperti presentasi, poster, kegiatan kelompok, materi kelas virtual seperti latar belakang Zoom atau Google Meet, dekorasi kelas, infografis, template video, dan materi lain yang memerlukan pelatihan khusus agar guru dan siswa dapat berdiskusi menggunakan Canva dalam pembuatan media pembelajar dan poster , menjadi kreatif dan mandiri secara artistik. Pengabdian kepada masyarakat ini bertujuan untuk memberikan inovasi kepada siswa dan guru untuk menghasilkan desain grafis berkualitas tinggi dengan tenaga minimal, dan kurikulum Merdeka memasukkan elemen digitalisasi yang mendorong guru dan siswa lebih kreatif dalam mengajar melalui berbagai platform yang tersedia di dunia maya. dan kebutuhan belajar. Metode atau pendekatan yang digunakan dalam kegiatan program PKM meliputi pelatihan pengembangan tentang media pembelajaran dan pembuatan poster menggunakan canva untuk siswa serta guru-guru. Kesimpulan : tingkat partisipasi guru dalam kegiatan tinggi , guru dapat dilatih untuk pelatihan, mereka dapat menggunakan sumber belajar selama pelatihan dalam kegiatan pengajaran dan pendidikan di sekolah, pelatihan berkelanjutan dengan topik masa depan saat ini diperlukan. Kata Kunci: media pembelajaran, krativitas, poster, canva.
Perancangan Sistem Pelayanan Publik Desa (Studi Kasus: Desa Serambi Gunung, Kabupaten Seluma) Evandra, Geri Melano; Pahrizal, Pahrizal; Reswan, Yuza; Muntahanah, Muntahanah
Jurnal Media Infotama Vol 21 No 2 (2025): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i2.9349

Abstract

This study aims to design a web-based public service system for Serambi Gunung Village, Seluma Regency, improve the effectiveness and efficiency of village administrative services. The background of this research stems from the continued use of manual processes in village public services, which result in delays, risks of document loss, and low service transparency. Chosen due to its iterative and participatory approach, involving users directly in the design process, thus allowing the system to be developed according to actual field needs. The research was conducted from April to July 2025 using a qualitative method with data collection techniques including observation, interviews, literature review, and documentation. The results show that the system developed successfully integrates administrative services such as ID card (KTP) processing, family card (KK) issuance, correspondence, social assistance, and citizen complaints into a single digital platform that is easily accessible to the public. The system design includes UML diagrams (use case, activity, class diagrams), user interfaces for both administrators and citizens, as well as database structures and a search algorithm for service requests. System testing was carried out using the blackbox method to ensure that all functions work as required. The study concludes that the web-based village public service system designed using the prototype method can enhance service quality, speed up administrative processes, and promote transparency and public participation in village governance
PENERAPAN ALGORITMA NAIVE BAYES PADA APLIKASI PENELUSURAN ALUMNI (TRACER STUDY) BAGI TAMATAN SMKN 2 KOTA BENGKULU susanto, teguh; Muntahanah, Muntahanah
Jurnal Informatika UPGRIS Vol 8, No 2: Desember 2022
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v8i2.13051

Abstract

Alumni are a very valuable asset for an educational institution. The success of educational institutions will be greatly influenced by the success of alumni in the process of getting a job or continuing their education. The more alumni who succeed in their work, the better the rating of the educational institution because many companies employ them or who successfully continue their education to the next level. Vocational High School is considered able to answer the problems of employment and unemployment. Vocational education is part of the education system that prepares a person to be better able to work in one occupational group or field of work than in other occupations. SMKs also assist with re-industrialization through three main groups: training young people for work, training current workers, and returning to the workforce. One of the successes of educational institutions can be determined by how successful graduates are when they are in the community. The ratio of graduates who have worked to those who have not worked, the average waiting period for work, the field of work occupied, the amount of income received when they first worked, and others. One method to obtain appropriate data is to use a tracer study, which is an academic activity to obtain feedback from graduates about the relevance of the educational process that has been undertaken with the ability to improve the quality of life of graduates in the community. Tracer study is a tool to obtain data needed for the development of an educational institution. The process of obtaining tracer study data can use a computer connected to the internet so that the process becomes easier because it can be accessed anytime and anywhere. The data obtained from the study tracer is processed according to the need for the data, one method that can be used is Naïve Bayes. Naïve Bayes algorithm is one of the methods used based on probabilistic reasoning.
DIKLAT RISET TERAPAN BAGI GURU SMK PUSAT KEUNGGULAN Wibowo, Sastya Hendri; Toyib, Rozali; Darnita, Yulia; Muntahanah, Muntahanah; Witriyono, Harry; M. Imanullah, M. Imanullah; Darmi, Yulia
JE (Journal of Empowerment) Vol 3, No 1 (2022): JUNI
Publisher : Universitas Suryakancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/je.v3i1.2035

Abstract

Pendidikan dan Pelatihan (Diklat) Riset Terapan merupan salah satu agenda yang terdapat pada pendampingan SMK Pusat Keunggulan. Kegiatan berfokus pada peningkatan keterampilan sumber daya manusia terutama guru yang mengajar di SMK Pusat Keunggulan. Tujuan Pendidikan dan Pelatihan (Diklat) adalah memberikan pelatihan bagai para guru dengan materi tentang hasil riset para instruktur yang juga dosen di Program Studi Teknik Informatika Fakultas Teknik Universitas Muhammadiyah Bengkulu yang dapat kolaborasikan di SMK Pusat Keunggulan,  seperti animasi dengan open source, dan natural language processing.  Pelatihan ini berlangsung selama 5 hari dengan metode sinkron dan asinkron.  Asinkron adalah penyampaian materi secara langsung antara instruktur kepada peserta (luring), sedangkan asinkron adalah penyampaian materi secara tidak langsung atau dalam bentuk tugas mandiri yang telah diberikan oleh instruktur sebelumnya.
Sosialisasi Pembuatan Bahan Ajar Digital Berbasis Pendidikan Karakter Bagi Guru Di Daerah 3T Syahfitri, Jayanti; Muntahanah, Muntahanah; Darmi, Titi
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol. 6 No. 3 (2023): Juli 2023
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v6i3.2497

Abstract

Character education is one of the mental revolution efforts made to instill character in students. Teachers play an important role in producing generations of noble character and morality, including elementary school teachers. Instilling character from an early age is expected to be able to strengthen the foundation in building the nation. The process of cultivating character must be adapted to the stages of student development and the times, so that integrating it into interactive teaching materials will be preferred by students, students can more easily understand the material and have skills that are balanced between science and technology and IMTAQ. To realize this, teachers are required to be able to integrate it into PBM such as teaching materials. However, the facts on the ground show that teachers in partner schools do not really understand the context of character building and apply it to teaching materials. The purpose of this activity is to increase teacher knowledge and skills in designing and integrating character education in digital teaching materials. This service activity is carried out through lecture methods, outreach, training, and discussions involving approximately 17 elementary school teachers. The results of the activity show that in general the teacher already knows the concept of character education, examples of assistive applications in making teaching materials and teachers have been able to design and integrate character education into teaching materials in accordance with the subjects being taught which are then ready to be made into digital teaching materials           Keywords: socialization; digital teaching materials; character education Abstrak: Pendidikan karakter merupakan salah satu upaya revolusi mental yang dilakukan   untuk menanamkan karakter pada siswa. Guru memegang peranan penting dalam menghasilkan generasi yang berkarakter dan berakhlak mulia, tidak terkecuali guru SD. Penanaman karakter sejak usia dini diharapkan mampu memperkuat pondasi dalam membangun bangsa. Proses   penanaman karakter harus disesuaikan dengan tahap perkembangan siswa dan perkembangan zaman, sehingga mengintegrasikannya ke dalam bahan ajar interaktif akan lebih disukai siswa, siswa lebih mudah memahami materi dan memiliki keterampilan yang seimbang antara IPTEK dan IMTAQ. Untuk mewujudkan hal ini guru dituntut mampu mengintergasikannya ke dalam PBM seperti bahan ajar. Namun, fakta dilapangan menunjukkan bahwa guru-guru di sekolah mitra belum terlalu memahami konteks pendidikan karakter serta menerapkannya ke dalam bahan ajar. Tujuan kegiatan ini yaitu meningkatkan pengetahuan dan keterampilan guru dalam mendesain serta mengintegrasikan pendidikan karakter dalam bahan ajar digital. Kegiatan pengabdian ini dilakukan melalui metode ceramah, sosialisasi, pelatihan, dan diskusi dengan melibatkan lebih kurang 17 orang guru SD. Adapun hasil kegiatan menunjukkan secara garis besar guru sudah mengetahui konsep pendidikan karakter, contoh aplikasi bantu dalam membuat bahan ajar dan guru telah mampu mendesain serta mengintegrasikan pendidikan karakter ke dalam bahan ajar sesuai dengan mata pelajaran yang diampu yang kemudian siap untuk dibuat ke dalam bahan ajar digital.Kata kunci: sosialisasi; bahan ajar digital; pendidikan karakter
Pelatihan dan Pendampingan Pembuatan Bahan Ajar Digital Berbasis Artificial Intelligence (AI) Syahfitri, Jayanti; Muntahanah, Muntahanah; Irwandi, Irwandi
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol. 7 No. 4 (2024): Oktober 2024
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v7i4.3356

Abstract

SD Negeri 140 Seluma has a relatively large number of human resources, both teachers and students. However, this is also a challenge for partner schools where some of the problems that are often faced are the lack of knowledge and competence of teachers in providing digital teaching materials to facilitate differentiated learning, which impacts the formation of students' character optimally. This training and mentoring is an effort to improve teacher knowledge and competence in providing teaching materials. This activity involved 30 teachers through two methods, namely: socialization, training and mentoring (the practice of making AI-based learning videos). The activity results showed that all participants experienced an increase in understanding related to the concept of digital teaching materials and increased competence in making AI-based learning videos. This is evidenced by the products that have been produced by the training participants. Keywords: artificial intelligence; digital teaching materials; training;  accompaniment SD Negeri 140 Seluma memiliki SDM dengan jumlah yang relatif banyak baik guru maupun peserta didik. Namun, hal ini sekaligus menjadi tantangan bagi sekolah SD Negeri 140 Seluma  dimana beberapa permasalahan yang seringkali dihadapi yaitu masih minimnya pengetahuan dan kompetensi guru dalam menyediakan bahan ajar digital untuk memfasilitasi pembelajaran berdiferensiasi, sehingga berdampak pada pembentukan karakter peserta didik secara optimal. Pelatihan dan pendampingan ini merupakan upaya yang dilakukan untuk meningkatkan pengetahuan dan kompetensi guru dalam menyediakan bahan ajar. Kegiatan ini melibatkan 30 orang guru melalui dua metode yaitu: sosialisasi, pelatihan dan pendampingan (praktik pembuatan video pembelajaran berbasis AI). Hasil kegiatan menunjukkan peningkatan pemahaman dan keterampilan peserta dalam memproduksi video pembelajaran berbasis AI, yang dibuktikan melalui produk video yang dihasilkan.  Kata kunci: artificial Intelligence; bahan ajar digital; pelatihan; pendampingan
Co-Authors -, Rozali Toyib Abdillah, Muhammad Harits Abdullah, Dedy Abdurrasyid, Fakhri Adinda, Fitri Adriansyah, M. Ari Afriandi, Rahmad Ahmad Novianto Akbar, Anggi Sunata Nur Albar, Ahmad Rere Alexander, Jefri Amandika, Rama Andilala Andre Kurniawan Andrian Kuor Nando Andry Sartika Annisa Sonita Apriansyah, Nugraha Apridiansyah, Yovi Ardi wijaya Ariestanto, Dian Arif Triyandi, Muhammad Beni Juanda Dandi Sunardi Dani, Aliman Darnita , Yulia Darnita, Yulia David Maria Veronika, Nuri Diana Diana Diana Diana Diatama, Pradika Egia Apriansyah Evandra, Geri Melano Febitri, Nora Febriani, Lovi Febrina, Nanda Fitri Lestari Fitriah Fitriah Gilang Nurva Wijaya Gilang Pamungkas, Habib Guntur Alam Hadi , Alam Kurnia Harry Witriyono Harry Witriyono Witriyono Hendri, Sastya Herianto, Agib Kristian hidayah, agung kharisma Husni Rifqo, Muhammad Imanullah, Muhammad Indri Dwi Lestari Irvan Dwi Pangestu Islan Wardiman Isnadia, Yusi Jandri M.Siban Jaya Saputera, Juwanda Jefri Alexander Joka Jasri Juanda, Beni Juhardi, Ujang Keken Pinandita Khairullah, Khairullah Khairunisa, Dinda Khairunnisyah Khairunnisyah Khairunnisyah, Khairunnisyah Kharisma , Agung Kristian Herianto, Agib Kristika Meza Werda Kusnadi, Afrinando Kusnadi Lidia Lidia Lilian Guntari M. Imanullah, M. Imanullah marhalim, marhalim Miko Ansyori Nabila, Pipit Nanda Yugo Pangestu Nita, Taura Novrialdi, Tito Nur ‘Azah Nur'aini, Shandra Nuri David Maria Veronika Nuri David MV Nuri David Veronika Nurlestari, Oktarani Okta, Leo Oktarani Nurlestari Onsardi, Onsardi Pagestu, Yolan Pahrizal, Pahrizal Pangestu, Irvan Dwi Pradika Diatama Putra, Fherdi Hunata Putra, Iqbal Pratama Putra, Yebri Putri, Deliana Rahmadhini, Fira Ricardo, Ryo Rifqo, Muhammad Husni Rohanan Yusuf Rojali Toyib Rozali Toyib Rozali Toyib Rozali Toyib Safari, Chessar Sahputra , Eka Sahputra, Eka Salsabila, Aprilia Sandi, Zainove Saparudin Saroni Sastya Hendri Wibowo Sastya Hendri Wibowo Sastya Hendri Wibowo Sastya Hendri Wibowo Wibowo Sastya Wibowo Seprianti, Widia sholekhah, Ananda Shopiana, Sella Siregar, Fadel Muhammad Sonita , Anisya Sonita, Anisya Sri Ekowati Sri Handayani Sri Handayani Supriyadi, Anisyah Oktariani Syahfitri, Jayanti Tanjung, Rahman Fadli Teguh Susanto Titi Darmi Tito Novrialdi Toyib, Rojali Toyib, Rozali Triyandi, Muhammad Arif Ulit, Icuk Gempa Veronika, Nuri David Maria Vironika, Nuri Wahyu Nugroho Wibianto, Alvian Febri Wibowo, Sastia Widodo, Aditya Deko Wijaya, Ardi Wilio Papian Witriyono , Harry Witriyono, Harry Yanto, Febi Febri Yebri Putra Yulia Darmi Yulia Darnita Yulia Darnita Yulia Darnita yulia darnita yulia darnita yulia darnita Yulia Rahmi Yuza Reswan Zantohar, Moh Rere Velentino