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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
Akbar, Yuma
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Penerapan Teknologi Ubiquiti dalam Optimalisasi Jaringan Kantor Skala Menengah Arib Nawwar Tahir; Shafwan Abiyu Wirawan; Yuma Akbar
Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer Vol. 5 No. 2 (2025): Juli: Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/juritek.v5i2.4253

Abstract

: PT. ABC, perusahaan pertambangan di Sulawesi Tenggara, menghadapi masalah serius dalam infrastruktur jaringannya, termasuk ketidakstabilan koneksi, distribusi bandwidth tidak merata, kerentanan keamanan, dan pemantauan manual yang tidak efisien. Penelitian ini mengimplementasikan solusi jaringan terpusat berbasis Ubiquiti UniFi Controller, didukung perangkat Cisco (router ISR4321/K9 dan switch WS-C3750V2) serta akses point U6-Pro, untuk meningkatkan stabilitas, keamanan, dan efisiensi operasional. Melalui pendekatan bertahap—analisis jaringan eksisting, instalasi, konfigurasi VLAN dan QoS, serta uji kinerja—hasilnya menunjukkan perbaikan signifikan: downtime turun 83% (dari 12 jam menjadi 2 jam/bulan), throughput meningkat 143% (35 Mbps ke 85 Mbps), dan latency aplikasi kritis berkurang 77% (142 ms ke 32 ms). Penerapan kebijakan keamanan seperti segmentasi VLAN dan firewall berhasil menghilangkan serangan siber, sementara QoS memastikan alokasi bandwidth optimal untuk aplikasi prioritas. Dampak bisnis mencakup penghematan Rp40 juta/bulan, percepatan proses pelaporan, dan peningkatan kepuasan pengguna. Solusi ini tidak hanya mengatasi masalah teknis tetapi juga menyediakan kerangka kerja yang skalabel dan berkelanjutan untuk perusahaan sejenis di sektor pertambangan dan UMKM.
IMPLEMENTASI ZERO TRUST NETWORK ACCESS (ZTNA) DALAM MENGAMANKAN JARINGAN SEKOLAH DENGAN SEGMENTASI VLAN DAN ROLE-BASED ACCESS CONTROL Yuma Akbar; Tegar Rizky Ardana
INTECOMS: Journal of Information Technology and Computer Science Vol. 9 No. 1 (2026): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/ndzc8j62

Abstract

Abstract not available.
Implementasi Detektor Api Menggunakan Arduino Pada Rusunawa Jatinegara Barat Yuma Akbar; Benny Sulaiman K; Nur Oktavian; Muhamad Farisi; Aditya Bagas Pramudhi
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.
Website Sistem Pakar Deteksi Risiko Kesehatan Mahasiswa Berdasarkan Pola Tidur dan Aktivitas Harian Menggunakan Certainty Factor dengan Studi Kasus di STIE BPKP Yuma Akbar; Mesra Betty Yel; Apriyanus Laia; Masaranto Laia; Wewisman Tafonao
Kawanad : Jurnal Pengabdian kepada Masyarakat Vol. 5 No. 1 (2026): March
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/kjpkm.v5i1.401

Abstract

Student health directly affects the quality of learning and academic achievement. When sleep patterns and daily routines become irregular, students face a higher probability of developing health-related problems. To address this issue, a web-based expert system was designed and developed to detect student health risks based on sleep patterns and daily activities, applying the Certainty Factor (CF) method, with a case study conducted at STIE BPKP. The Certainty Factor method was used to quantify the degree of confidence in a particular health risk by combining symptom data selected by users with certainty weights assigned by domain experts. The system was built as a web application featuring three core functions: symptom data input, diagnostic processing, and output presentation in the form of health risk levels along with actionable recommendations. Functional testing was carried out to verify that each module operated correctly and that diagnostic outputs aligned with the expected Certainty Factor calculations. Findings from this study confirm that the expert system successfully assists students in assessing their health risk levels in a fast and accessible manner. Beyond individual use, the system also serves as a supporting instrument for academic institutions seeking to strengthen health awareness programs among their student population. As a result, this expert system holds practical value as an early-warning tool for student health risk detection.  
Sistem Absensi Harian Antititip Menggunakan QR Code Berubah Otomatis dan Verifikasi Foto untuk SMP Negeri 204 Jakarta Yuma Akbar; Mesra Betty Yel; Joey Abdiner Parlindungan Hutabarat; Muhamad Fawaz Kamali; Rekardius Tafonao
Kawanad : Jurnal Pengabdian kepada Masyarakat Vol. 5 No. 1 (2026): March
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/kjpkm.v5i1.402

Abstract

Manual attendance management at SMP Negeri 204 Jakarta has proven to be inefficient and susceptible to data loss and damage. This study aims to develop and validate a QR Code-based attendance application called "E-SMART ABSENT" as a practical effort to support the digitalization of school administration. As part of a community service initiative within the educational sector, the application was developed using the Research and Development (R&D) method with a waterfall development model. The development stages included user needs analysis, system interface design, software coding using Kotlin and Node.js, and comprehensive system testing. Data were collected through field observations, interviews with relevant stakeholders, questionnaire distribution, and documentation. Product feasibility was measured using a Likert Scale ranging from 1 to 5. Validation results indicate that the application achieved a feasibility score of 86% from media experts, 96% from material experts, and 80% from Grade 7 homeroom teachers, all of which fall within the feasible to highly feasible categories. These findings suggest that the application is ready for broader implementation and has the potential to serve as a reference model for digital attendance system development in other schools.  
IMPLEMENTASI SISTEM PEMASARAN CERDAS BERBASIS DIGITAL PLATFORM UNTUK OPTIMALISASI PENJUALAN PRODUK GAMIS PADA UMKM INDAH COLLECTION Mesra Betty Yel; Yuma Akbar; Ryan Rivaldo; Ibnazia Darnov; Salsabila Salsabila
COMMUNITY : Jurnal Pengabdian Kepada Masyarakat Vol. 6 No. 2 (2026)
Publisher : Pusat Pengembangan Pendidikan dan Penelitian Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51878/community.v6i2.10348

Abstract

Digital transformation has become imperative for Micro, Small, and Medium Enterprises (MSMEs) to maintain and enhance their competitiveness in the current digital era. Indah Collection, an MSME specializing in Muslimah fashion (gamis), faces business challenges due to limited market reach. This limitation stems from a shift in consumer habits towards online shopping, while the business remains reliant on conventional marketing methods. This community service research aims to design and implement a smart marketing system based on a digital platform to address these issues. The methodology employs a qualitative approach, utilizing semi-structured interviews with the business owner and literature review, followed by needs analysis and system design using the Agile Scrum development model. The outcome of this initiative is the implementation of a WordPress-based website functioning as a 24-hour digital showroom, integrated with e-commerce accounts to provide a more secure transaction platform. This implementation not only enhances product visibility and reach on a national scale but also improves operational efficiency in marketing. ABSTRAK Transformasi digital saat ini merupakan sebuah keharusan bagi Usaha Mikro, Kecil, dan Menengah (UMKM) untuk mempertahankan dan meningkatkan daya saing di era digital ini. UMKM Indah Collection, yang berfokus pada produk busana muslim (gamis), menghadapi tantangan bisnis dalam keterbatasan jangkauan pasar akibat beralihnya kebiasaan masyarakat ke perbelanjaan via online, dan Indah Collection masih bergantung pada metode konvensional. Penelitian pengabdian masyarakat ini bertujuan untuk merancang dan mengimplementasikan sistem pemasaran cerdas berbasis platform digital untuk mengatasi hal tersebut. Metodologi yang digunakan adalah pendekatan kualitatif dengan wawancara semi-terstruktur dengan pemilik usaha dan studi literatur, kemudian dilanjutkan dengan analisis kebutuhan serta perancangan sistem dengan model pengembangan sistem Agile Scrum. Hasil dari kegiatan ini adalah terimplementasinya sebuah website berbasis WordPress yang berfungsi sebagai showroom digital 24 jam dan terintegrasi dengan akun e-commerce sebagai tempat bertransaksi yang lebih aman. Hal ini tidak hanya meningkatkan efisiensi visibilitas produk secara nasional, tetapi juga meningkatkan efisiensi operasional dalam pemasaran.
Detecting Levels of Learning Concentration Through Student Behavior in the Classroom Using Convolutional Neural Networks (CNN) Yuma Akbar; Sopan Adrianto; Rasiban Rasiban; Nadya Khairunnisa
International Journal of Applied Mathematics and Computing Vol. 2 No. 1 (2025): January: International Journal of Applied Mathematics and Computing
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijamc.v2i1.74

Abstract

This study discusses a student concentration detection system using Convolutional Neural Network (CNN) with the MobileNetV2 architecture. The dataset was adapted from Classroom Student Behaviors and mapped into four concentration categories: highly focused, focused, less focused, and unfocused. The system was tested with a 720p webcam and produced real-time detection data. The evaluation results show an overall accuracy of 75.85%, with the highest precision achieved in the focused class (0.9859) and the highest recall in the highly focused (0.9739) and unfocused (0.9811) classes. The confusion matrix indicates that the focused class was detected most consistently, while highly focused and unfocused classes were often misclassified as focused, resulting in lower precision. In real-time testing, the system operated at an average of 7 FPS and worked optimally when students faced the camera directly with sufficient lighting, but its performance decreased significantly at face angles greater than 45°. User evaluation shows that 75% of students rated the detection results as accurate/very accurate with an average satisfaction score of 3.6 out of 5, and 75% felt assisted in recognizing their concentration level. From the teachers’ perspective, most stated that the results were consistent with classroom observations, and all expressed willingness to reuse the system.
Analisis Sentimen Publik terhadap Hashtag #kaburajadulu Menggunakan Kombinasi Algoritma Support Vector Machine (SVM) dan Random Forest Yuma Akbar; Frencis Matheos Sarimolle; Dwi Swasono Rachmad; Muhammad Derry Oktaviandi
International Journal of Applied Mathematics and Computing Vol. 2 No. 3 (2025): July : International Journal of Applied Mathematics and Computing
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijamc.v2i3.129

Abstract

This study aims to analyze public sentiment toward the hashtag #KaburAjaDulu, which has circulated widely on the social media platform X (formerly Twitter). The hashtag reflects the growing anxiety among the public, especially younger generations, regarding socio-political issues in Indonesia. The data were collected using web scraping techniques, focusing on user-generated tweets that contain the hashtag. A comprehensive text preprocessing phase was conducted to clean the raw data by removing irrelevant elements such as URLs, emojis, numbers, and punctuation. The research applies a hybrid classification approach using a combination of Support Vector Machine (SVM) and Random Forest algorithms to categorize sentiment into three classes: positive, negative, and neutral. The performance of the model was evaluated using metrics such as accuracy, precision, recall, and F1-score to determine the effectiveness of the classification. The study aims to demonstrate that combining algorithms can improve classification performance compared to using a single algorithm. This research contributes to the field of sentiment analysis and provides valuable insights for researchers, policymakers, and social observers in understanding public opinion trends in digital media.
Perancangan Web Pemesanan UMKM Bakso Pak Eko Pondok Kopi Terintegrasi Platform Online Yuma Akbar; Mesra Betty Yel; Gabriel Alezhandro Pakpahan; Ropindo Pelix Pane

Publisher :

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v9i1.10475

Abstract

Abstrak - Perkembangan teknologi informasi di era digital memberikan dampak signifikan terhadap berbagai sektor usaha, termasuk Usaha Mikro, Kecil, dan Menengah (UMKM). Salah satu permasalahan yang umum dihadapi UMKM adalah masih digunakannya sistem pemesanan secara konvensional yang berpotensi menimbulkan kesalahan pencatatan serta menurunkan efisiensi pelayanan. UMKM Bakso Pak Eko Pondok Kopi merupakan usaha kuliner yang masih menerapkan sistem pemesanan manual melalui pemesanan langsung di lokasi dan pesan WhatsApp tanpa pencatatan terstruktur. Penelitian ini bertujuan untuk merancang dan membangun website pemesanan online yang terintegrasi dengan platform digital sebagai solusi digitalisasi UMKM. Metode penelitian yang digunakan adalah metode kualitatif dengan teknik pengumpulan data berupa observasi, wawancara, dan studi pustaka. Metode pengembangan sistem menggunakan model Waterfall yang meliputi tahap analisis kebutuhan, perancangan sistem, implementasi, pengujian, dan pemeliharaan. Website dikembangkan menggunakan HTML, CSS, dan JavaScript dengan fitur tampilan menu, keranjang pesanan, perhitungan total harga otomatis, pemesanan melalui WhatsApp, serta pembayaran menggunakan QRIS. Hasil penelitian menunjukkan bahwa website pemesanan online mampu meningkatkan efisiensi proses pemesanan, mengurangi kesalahan pencatatan, serta meningkatkan kualitas pelayanan UMKM Bakso Pak Eko Pondok Kopi.Kata kunci: Website Pemesanan; UMKM; Sistem Informasi; QRIS, Digitalisasi; Abstract - The development of information technology in the digital era has significantly impacted various business sectors, including Micro, Small, and Medium Enterprises (MSMEs). One of the common problems faced by MSMEs is the use of conventional ordering systems that can cause recording errors and reduce service efficiency. Bakso Pak Eko Pondok Kopi MSME still applies a manual ordering system through direct orders and WhatsApp messages without structured recording. This study aims to design and develop an online ordering website integrated with digital platforms as a solution for MSME digitalization. This research uses a qualitative method with data collection techniques including observation, interviews, and literature study. The system development method applied is the Waterfall model, consisting of requirement analysis, system design, implementation, testing, and maintenance stages. The website was developed using HTML, CSS, and JavaScript with features such as menu display, shopping cart, automatic total price calculation, WhatsApp ordering, and QRIS payment. The results show that the online ordering website improves ordering efficiency, reduces recording errors, and enhances service quality at Bakso Pak Eko Pondok Kopi MSME.Keywords: Ordering Website; MSME; Information System; QRIS; Digitalization;
Implementasi Artificial Intelligence untuk Analisis Attack Surface dan Rekomendasi Remediasi Kerentanan Keamanan Berbasis Vulnerability Assessment pada Website UMKM Willy Wijayanto; Yuma Akbar; Mesra Betty Yel
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 7 No. 3 (2026): 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.v7i3.2005

Abstract

The rapid digitalization of Micro, Small, and Medium Enterprises (MSMEs) in Indonesia has raised the need for adequate website security, yet limited technical resources leave many MSME owners unaware of their platform's security posture. This research designs and implements VulnScope, a web-based vulnerability assessment (VA) system that integrates a Large Language Model (LLM) to analyze the attack surface and generate contextual remediation recommendations. The system is built on the FastAPI framework with eight core scanning modules, an aggressive scanner, and a VAPT Engine that classifies findings based on OWASP Top 10:2021 and CVSS v3.1. Artificial intelligence is integrated through the Claude and Nous Hermes models using an agentic tool-use pattern. Black box functional testing confirmed that all features work as specified. Applied to the MSME website ibadahterpanjang.com, the system detected four vulnerabilities (one Critical, one Medium, two Low) with an overall CRITICAL risk level (score 38/100). The results show that integrating VA with artificial intelligence effectively helps MSME owners independently identify and remediate website security vulnerabilities.
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 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