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All Journal Teknika Sinkron : Jurnal dan Penelitian Teknik Informatika Informatics for Educators and Professional : Journal of Informatics SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan INTECOMS: Journal of Information Technology and Computer Science JURNAL PENDIDIKAN TAMBUSAI Jurnal Nasional Komputasi dan Teknologi Informasi Progresif: Jurnal Ilmiah Komputer Jurnal Sains dan Teknologi Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Teknik Elektro dan Komputasi (ELKOM) Community Engagement and Emergence Journal (CEEJ) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Journal of Applied Data Sciences Jurnal Informatika dan Teknologi Komputer ( J-ICOM) Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Jurnal Vokasi Informatika (JAVIT) COMMUNITY : Jurnal Pengabdian Kepada Masyarakat AJAD : Jurnal Pengabdian kepada Masyarakat Jurnal Pendidikan Sains dan Komputer International Journal Software Engineering and Computer Science (IJSECS) Indonesian Journal of Multidisciplinary Science Aptekmas : Jurnal Pengabdian Kepada Masyarakat Malcom: Indonesian Journal of Machine Learning and Computer Science Journal of Artificial Intelligence and Digital Business Cross-border CKI On Spot SmartComp Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Pengabdian Nasional (JPN) Indonesia kawanad International Journal of Applied Mathematics and Computing. International Journal of Information Engineering and Science International Journal of Electrical Engineering, Mathematics and Computer Science International Journal of Mechanical, Electrical and Civil Engineering International Journal of Law Social Sciences and Management Journal of Engineering, Electrical and Informatics Jurnal Komputer, Informasi dan Teknologi Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer
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Penerapan Algoritma Naive Bayes dalam Sistem Analisis Sentimen Media Sosial X terhadap Film Agak Laen Aulia, Mutia Dwi; Akbar, Yuma
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 3 (2025): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/jimik.v6i3.1608

Abstract

This study examines the application of the Naïve Bayes algorithm for sentiment analysis on social media platform X (formerly Twitter) regarding the movie Agak Laen. In the digital era, understanding public opinion is highly important, and this film was chosen as a case study due to the large number of circulating reviews. Naïve Bayes was selected for its efficiency in text classification. The research process began with data collection using the TwCommentExport extension, followed by preprocessing to remove noise such as links and punctuation. The cleaned data were manually labeled into positive or negative sentiments. Subsequently, the data were transformed into numerical representations using TF-IDF feature extraction and trained with the Naïve Bayes algorithm. The dataset was divided into 70% training data and 30% testing data to evaluate the model’s performance. The experimental results demonstrated an accuracy of 75.73%. These findings indicate that Naïve Bayes is an effective method for analyzing movie sentiment, although further improvements in data processing or advanced classification techniques are still possible. This research is expected to provide insights into public responses to the film Agak Laen and serve as a reference for the film industry as well as researchers in understanding audience opinions more comprehensively.
Dampak Pengaruh Artificial Intelligence terhadap Orisinalitas Karya Ilustrator Menggunakan Support Vector Machine NST, Silvan; Akbar, Yuma
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 3 (2025): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/jimik.v6i3.1610

Abstract

This study is a case study that investigates how the application of Artificial Intelligence (AI) affects the creative capacity of illustrators in the process of creating visual characters. The research focuses on the use of Stable Diffusion, a machine learning model that utilizes diffusion techniques to generate images, and the Support Vector Machine (SVM) algorithm as a method for classifying and analyzing data. By observing the interaction between illustrators and AI systems, this study aims to assess the extent to which AI influences visual style, creation methods, and the originality of resulting works. Data were collected through interviews, direct observation of the creative process, and comparisons between manually created works and those involving AI. The results indicate that AI holds significant potential to accelerate the design process and expand visual exploration, though it also presents challenges related to authenticity, dependency, and shifts in the illustrator’s role within the creative industry. SVM is used to categorize creators' perspectives on AI based on various parameters, which are then analyzed to identify common patterns. This research is expected to provide valuable insights for creative industry practitioners and academics in utilizing technology wisely without compromising artistic values and originality in illustrative works.
Implementation of the Naive Bayes Method in Looker Studio for data on the achievement of Great IDN in IDN Akhwat School Akbar, Yuma; Az-Zahra, Haura Salsabila; Setiawan, Kiki; Fajri, Raisah
Indonesian Journal of Multidisciplinary Science Vol. 3 No. 11 (2024): Indonesian Journal of Multidisciplinary Science
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/ijoms.v3i11.981

Abstract

The IDN Hebat program is an important tool for schools to track and analyze student achievement data. However, with the targeted activities in the IDN program, challenges arise in managing and measuring achievement data efficiently. The research aims to develop a Web Cloud-based data management system for IDN Hisbat achievements at IDN Akhwat School by utilizing Google Looker Studio and the Naive Bayes Algorithm. The data source used in this study is by applying a classification dataset obtained from student achievement information data in the Great IDN Program. The results of this analysis show that the highest accuracy of teaching achievement fell on the status of exceeding the target with a percentage of 89%, and the highest class that placed the status above the target was class 9A with an average percentage of 35%. In addition, the results from this analysis can help coordinators and schools in planning more effective and strategic programs in the future. Overall, this study provides important benefits in improving the quality of teaching and student coaching, as well as supporting data-driven decision-making. This study is expected to enhance the efficiency, accuracy, and effectiveness of managing student achievement, while also supporting the attainment of optimal educational goals for each student to achieve extraordinary results.
Application of the K-Nearest Neighbor Method in Determining Laptop for Classes Qolbi, Rofika; Tundo, Tundo; Putri Wibowo, Salsabila; Akbar, Yuma
International Journal of Law Social Sciences and Management Vol. 1 No. 3 (2024): International Journal of Law Social Sciences and Management
Publisher : Yayasan Meira Visi Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69726/ijlssm.v1i3.31

Abstract

Laptops are one of the basic needs in today's modern life. Laptops are used in a wide variety of activities such as work, study, and entertainment. This research aims to be able to predict the class of laptops in the Ilda Computer store. In this process, the K-Nearest Neighbor Algorithm (KNN) method will be applied. There are 2 types of data that will be used in this study, namely training data totaling 80 data and test data as many as 6 data. In the data, there are 7 criteria that will be used, namely Price, Screen Size, Resolution, OS, RAM, Processor Type, and Laptop Class. In this study, it was obtained that the application of the KNN Algorithm can help in determining the prediction of the Laptop Class. And also the application of the KNN algorithm with K=3 obtained the best performance results with an accuracy value of 50%, a presicion of 50%, and a recall of 66%. Meanwhile, with K=4, the best performance results were obtained with an accuracy value of 50%, presicion of 66%, and recall of 50%. Finally, the K=5 obtained the best performance with an accuracy value of 66%, a presicion of 33%, and a recall of 100%.
Optimalisasi Penggunaan Instagram dan Tiktok sebagai Media Promosi Digital bagi UMKM Risol Kabita Berbasis Analisis Sistem Informasi Akbar, Yuma; Yel, Mesra Betty; Rosiana, Grace Lolita; Putri S, Dhiyah Labibah Nauli; Sinaga, Putri Cahyani
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 4 (2026): November - January
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i4.5815

Abstract

Penelitian ini bertujuan untuk mengoptimalkan penggunaan Instagram dan TikTok sebagai media promosi digital berbasis analisis sistem informasi pada UMKM Risol Kabita yang berlokasi di Jl. Cipinang, Jakarta Timur. Permasalahan utama yang dihadapi UMKM meliputi strategi konten yang belum terarah, pemanfaatan data insight yang masih terbatas, serta keterbatasan sumber daya dalam pengelolaan media sosial. Penelitian ini menggunakan pendekatan kuantitatif dengan jenis data sekunder yang diperoleh melalui observasi digital, dokumentasi data insight, serta analisis performa konten media sosial. Data dikumpulkan dari aktivitas pemasaran digital pada akun Instagram dan TikTok @kabita_nad selama periode satu bulan, kemudian dianalisis menggunakan teknik statistik deskriptif untuk melihat tren, nilai rata-rata, serta perbandingan kinerja antar platform media sosial. Solusi yang diterapkan meliputi penyusunan strategi konten terencana, peningkatan konsistensi unggahan, serta evaluasi performa konten berbasis data menggunakan platform analitik Metricool. Hasil penelitian menunjukkan adanya peningkatan signifikan pada jumlah tayangan video, peningkatan konsistensi unggahan, serta peningkatan kapasitas pengelola dalam memproduksi, mengelola, dan mengevaluasi konten media sosial secara lebih sistematis. Temuan ini menunjukkan bahwa pendekatan promosi digital berbasis analisis sistem informasi efektif dalam meningkatkan visibilitas, jangkauan, dan keterlibatan audiens UMKM. Penelitian ini merekomendasikan investasi pada perangkat pendukung, peningkatan literasi algoritma media sosial, serta kolaborasi dengan mikro-influencer lokal sebagai strategi lanjutan untuk mendukung keberlanjutan pemasaran digital UMKM.
Aplikasi Mobile Pendataan Jumantik (Juru Pemantau Jentik) di Rt.005 Rw.001 Kelurahan Jatibening, Kota Bekasi Akbar, Yuma; Mulyana, Dadang Iskandar; Lestari, Sri; Noor, Gusniar Alfian; Amrullah, Aziz Septian; Tristhanaya, Angga; Akbar, Faisal
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 11, No 2 (2022): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v11i2.3536

Abstract

Seiring dengan berkembangnya kemajuan teknologi sekarang ini sangat bermanfaat sekali bagi kita dalam mencari suatu informasi yang begitu cepat, tepat dan akurat yang bisa di akses melalui smartphone, dengan ada kemajuan teknologi dapat membantu kita dalam mengakses informasi dan juga membantu kita dalam menyelesaikan pekerjaan kita sehari-hari. Membuat pekerjaan yang sulit dilakukan menjadi mudah di kerjakan dan mendapatkan hasil yang lebih baik dari sebelumnya. Petugas JUMANTIK (Juru Pemanta Jentik) membutuhkan suatu system informasi tentang pendataan tempat perkembang biakan nyamuk yang berada di rumah warga Rukun Tetangga Kelurahan Jatibening yang bisa mempermudah  petugas JUMANTIK (Juru Pemantau Jentik) dalam mengumpulkan data untuk diinformasikan kepada warga Rukun Tetangga Kelurahan Jatibening. Saat ini, petugas masih secara manual dalam mengumpulkan data perkembang biakan nyamuk dirumah warga Rukun Tetangga Kelurahan Jatibening. Untuk itulah penulis mencoba membuat laporan KKP pengabdian masyarakat mengenai aplikasi mobile pendataan JUMANTIK (Juru Pemantau Jentik). Dengan menggunakan aplikasi mobile sebagai alat bantu dalam mengumpulkan data tentang perkembang biakan nyamuk yang berada di rumah warga Rukun Tetangga Kelurahan Jatibening dapat mempermudah petugas dalam pengumpulan data dengan cara lebih mudah dan efisien.
Rancang Bangun Sistem Informasi Pengolahan Data Berbasis Web Akbar, Yuma; Surapati, Untung; Poerwandono, Edhy; Franido, Richard; Hafiz, Tegar Muhamad; Kusuma, Agung Wiranata Sugeng
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 11, No 3 (2022): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v11i3.3904

Abstract

system pengolahan File data (RT)  dengan organisasi kependudukan yang diatur sebuah negara yang memakai peraturan mendasarkan sebuah daerah di desa atau di kota yang ada di Indonesia. Organisasi Rukun Tangga (RT) berfungsi menambahkan aktifitas, bentuk pelayanan, kesejahteraan, dan partisipasi masyarakat. RT juga sebuah organisasi tingkat bawah dan sangat dekat dengan masyarakat serta memahami semua kondisi dan permasalahan yang dihadapi masyarakat di daerah dalam pemerintahan RT tersebut. Hal ini sangat sering terjadi secara umum di daerah kekuasaan  Ketua RT 004 masih menggunakan system manual  dengan pencatatan dikertas atau sebuah buka secara tradisional ,sehingga pengolahan pemberitahuan informasi ke pada masyarakat tidak terlalu efektif. dalam masalah yang ada maka kami melakukan sebuah penelitian. Penelitian ini bertujuan untuk membantu memajukan proses system pengolahan data lebih cepat ,dengan Web Apk/Aplikasi RT 004 Berbasis Web. Penelitian dilakukan dalam tahap-tahap: identifikasi/pengenalan masalah, proses pendataan data, studi literature, dan mempercepat proses sistem dengan menggunakan metode  mudah yaitu Waterfall, lalu dengan tahap berurutan: Penerimaan, Update fitur, implementation, verification dan maintance. Dengan adanya web Apk ini Ketua RT 004 serta Staf tidak harus lagi menggunakan cara tradisional dalam proses pendataan ataupun mengnge cek data penduduk yang selama ini masih menggunakan kertas.
Implementasi Detektor Api Menggunakan Arduino Pada Rusunawa Jatinegara Barat Akbar, Yuma; K, Benny Sulaiman; Oktavian, Nur; Farisi, Muhamad; Pramudhi, Aditya Bagas
Community Engagement and Emergence Journal (CEEJ) Vol. 5 No. 1 (2024): Community Engagement & Emergence Journal (CEEJ)
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/ceej.v5i1.4453

Abstract

Bencana kebakaran pada gedung bertingkat merupakan hal yang dapat dihindari. Faktor-faktor penyebab kebakaran dapat dimitigasi sehingga dapat meminimalisir kemungkinan terjadinya bencana kebakaran. Akan tetapi, bencana kebakaran tetap saja sering terjadi. Untuk mengantisipasinya, ada berbagai macam cara yang bisa dilakukan, seperti memasang detektor asap atau detektor api yang dapat membunyikan alarm kebakaran. Mencari sumber api pada gedung bertingkat yang memiliki banyak lantai menjadi tantangan tersendiri bagi kecepatan penanggulangan kebakaran, belum adanya sistem yang dapat memberikan informasi mengenai lokasi tepat terjadinya kebakaran menjadi kendala kecepatan penanggulangan kebakaran itu sendiri. Jenis pengabdian ini adalah pengabdian kualitatif bagi pengabdian masyarakat, pengumpulan data dilakukan menggunakan teknik observasi lokasi pengabdian dan wawancara pada warga di lokasi pengabdian. Hasil dari observasi ditemukan bahwa sistem pendeteksi asap sudah lama tidak berfungsi karena kurangnya perawatan alat oleh pengelola, sedangkan hasil wawancara didapati warga yang antusias dan menyambut baik pengabdian ini. Penyampaian informasi melalui Contact Center pada Aplikasi Telegram menggunakan NodeMCU dan sensor api dapat menjadi solusi bagi percepatan penyampaian informasi pada pihak terkait bagi kecepatan penanggulangan kebakaran bila terjadi. Hasil pengujian menunjukkan penyampaian informasi kebakaran melalui notifikasi pada contact center dengan identifier lokasi lantai terjadinya kebakaran hanya memerlukan waktu 3 detik sehingga informasi mengenai terjadinya kebakaran dapat sesegera mungkin diketahui dan ditanggulangi.
Classification of Customer Satisfaction with the K-Nearest Neighbor Algorithm in Relation to Employee Performance at PT. Airkon Pratama Ahmad Suprianto; Untung Surapati; Yuma Akbar; Aditya Zakaria Hidayat
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.2948

Abstract

PT. Airkon Pratama is the technical consultancy company in the field of maintenance, repair, and operate system. Among its projects are a four-building, multi-story tax office complex. PT. Airkon Pratama experience obstacles to know how its customer satisfaction with their services that is was measured by a questionnaireobtained from work order form. The purpose of this study is to determine how well K-Nearest Neighbor data classification accurately classifies customer satisfaction based on employee performance by PT. Airkon Pratama. The data used in this study is from PT. Airkon Pratama with the data processing using RapidMiner with the K-Nearest Neighbor method which produces an accuracy of 96.53%. Among them four performance indicators were rated as "good", and two as "adequate". Of the 196 that were correctly predicted to be "good," three were "adequate." Most of the 04 respondents gave a positive response indicating their satisfaction with the management of tax office facilities provided by PT. Airkon Pratama in January 2024.
2D Platformer Game Prototype on Indonesian History Using Scratch Yuma Akbar; Mohammad Farroos Al Ammaar
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.3070

Abstract

In this study, we would like to share a prototype of a 2D platformer game in Scratch centered on the development of Indonesian history that can increase students' interest and motivation in learning history. In search of a more entertaining and successful alternative to the bad lecture situation, the demand for interactive learning media. Visual programming is chosen with Scratch because it is easier to create educational games in this language. Its creation involves the implementation of visual components such as characters, background environments, UI, etc. Data Evaluation provides a positive level of acceptance to students with an average student evaluation score of 4.1/5 Positive responses were obtained for game elements, story content, and ease of operation First, the results of the evaluation of the Validation of 2D Platformer Games in Indonesian History as a Learning Tool. Through student activeness, a more active way of responding to historical material is being implemented by use. Game development has the ability to become a new educational media if it is well structured and organized.
Co-Authors ., Novriyenni AA Sudharmawan, AA Abdul Shomad Abdulloh Abdurrahman Asyam Albahy Abror, Ikhsan Adhipramana, Fernanda Aditya Bagas Pramudhi Aditya Zakaria Hidayat Aditya Zakaria Hidayat Adzani, Adinda Mutiara Agung Pratama Agung Wianata Sugeng Kusuma Agung Wiranata Sugeng Kusuma Ahluna, Faza Ahmad Suprianto Ahmad Zulfikar Aidil Rizki Hidayat Aimar, Muqorrobin Akhsani, Ziyat Akmaludin Akmaludin Al Ammaar, Mohammad Farroos Albahy, Abdurrahman Asyam Aldi Sitohang Aldino Nur Ihsan Amrullah, Aziz Septian Angga Tristhanaya Anita Rosiana Anwar, Imam Dzikrilloh Apriyanus Laia Arfadhillah, Zahra Ari Ramadhan Arib Nawwar Tahir Arief, Yoga Sofyan Arif, Sulthan Cendikia Arika Karpina Arinal, Veri Aula, Raisah Fajri Aulia, Mutia Dwi Awang Hariman, Aloisius Az-zahra, Haura Salsabila Azis, Iim Muhaemin Abdul Aziz Septian Amrullah Azzahra, Yasmin Aulia Bachtiar, Yuliana Bebriani, Serli Benny Sulaiman K Betty Yel, Mesra Bintoro, Bayu Bryan Pratama Buaton, Relita Cahyono, Bayu Adi Candra Milad Ridha Eislam Dadang Iskandar Mulyana` Damayanti, Yulia Dava Septya Arroufu Dedi Dwi Saputra Dedi Gunawan Dewa Gde Adi Murthi Udayana Doddy Mulyadi Saputra Dwi Swasono Rachmad Edhy Poerwandono Edhy Poerwandono Edhy Poerwandono Eka Satria Maheswara Fadhil Khanifan Achmad Fadillah, Fauzan Fahmi Chairulloh Faisal Akbar Faisal Akbar Nasution Farhani, Aulia Faris Jawad Farisi, Muhamad Fatkul Toriq Febrianti, Syafira Feni Putriani Fentri Boy Pasaribu Fernanda Adhipramana Fitriani Noer Jamilah Franido, Richard Frencis Matheos Sarimolle Gabriel Alezhandro Pakpahan Ghofurur Nawangsah Gipari Pradina Abdillah Gusniar Alfian Noor Hadi Gunawan Hafiz, Tegar Muhamad Hartinah, Suci Sugih Hazrul Aswad Hengky, Mario Hidayat, Aditya Zakaria Ibnazia Darnov Ikhsan Abror Ikhwanul Kurnia Rahman Intan Purwasih Jodi Juliansah Joey Abdiner Parlindungan Hutabarat Juliansah, Jodi Julianto, Muhammad Rizky Julvan Marzuki Putra Sibarani K, Benny Sulaiman Kiki Setiawan Kiki Setiawan Kusuma, Agung Wiranata Sugeng Lestari, Dinny Amalia M Ilham Setya Aji M Jundi Hakim Mafazi, Luthfillah Marjuki Masaranto Laia Maulana Putra Hertaryawan, Ryfan Mayangsari, Descania Meilisa Miftahul Huda Mizsuari Muamar Rizky Mohammad Farroos Al Ammaar Muhamad Farisi Muhamad Fawaz Kamali Muhamad Fikri Nugraha Muhamad Umar Hasan Asrori Muhamad Zaeni Nadip Muhammad Arham Muhammad Arya Ramadhan Muhammad Derry Oktaviandi Muhammad Fadlan Muhammad Faizal Lazuardi Muhammad Joko Umbaran Kharis Bahrudin Mulya, Citra Pricylia Ananda Nadya Khairunnisa Nasrullah Syamil Salahudin Nirat Nirat Nirat, Nirat Noor, Gusniar Alfian Nova Mahendra Novianto, Firza NST, Silvan Nufus, Reda Hayati Nugraha, Muhamad Fikri Nur Arif Khairudin Nur Oktavian Nurfaishal, Muhammad Dzaky Nurmaylina, Vivi Oka Prasetiyo Oktavian, Nur Oky Tria Saputra Oky Tria Saputra7 Permatasari, Veren Nita Piqih Akmal Poerwandono, Edhy Praja Raymond , Samuel Pramudhi, Aditya Bagas Pramudita, Diky Prasetiyo, Oka Putri S, Dhiyah Labibah Nauli Putri Wibowo, Salsabila Qibthiyah, Mariyatul Qolbi, Rofika Ramadhan, Muhammad Arya Rasiban Rasiban Regita, Anggit Nur Hannaa Rekardius Tafonao Rezha Mulia Revandy Richard Franido Richard Franido Rizki Ananda Pratama Rizki Maulana, Rizki Rizky Adawiyah Ropindo Pelix Pane Rosiana, Grace Lolita Ryan Rivaldo S, Fahmi Chairulloh Widia Safhani, Rizca Sahrul Hidayat Sahrul Hidayat Salsabila Putri Wibowo Salsabila Salsabila Saputra, Mochammed Erryandra Sarimole, Frencis Matheos Septiansyah, Ade Setiawan, Kiki Shafwan Abiyu Wirawan Sibarani, Julvan Marzuki Putra Sinaga, Putri Cahyani SOPAN ADRIANTO SRI LESTARI Sri Lestari Sugiharto, Tri Sugiyono Sugiyono Sugiyono Sugiyono Sugiyono Sumpena Sumpena Sumpena, Sumpena Surapati, Untung Sutisna Sutisna Sutisna Sutisna Sutisna Sutisna Sutisna Suwandi Suwandi Tegar Muhamad Hafiz Tegar Muhamad Hafiz Tegar Rizky Ardana Toriq, Fatkul Tri Wahyudi Tri Wahyudi Tristhanaya, Angga Tundo, Tundo Untung Surapati Untung Surapati Untung Surapati Untung Surapati Untung Wahyudi Untung Wahyudi Vivi Nurmaylina Wahyu Saputro Wewisman Tafonao Widya Ayu Lestari Wijaya, Rohmat Willy Wijayanto WINDU GATA Yansen Yansen Yusril Nurhadi AS