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All Journal Teknika Bulletin of Electrical Engineering and Informatics Proceeding of the Electrical Engineering Computer Science and Informatics Swabumi (Suara Wawasan Sukabumi) : Ilmu Komputer, Manajemen, dan Sosial Jurnal EMT KITA Pendas : Jurnah Ilmiah Pendidikan Dasar JTAM (Jurnal Teori dan Aplikasi Matematika) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan INTECOMS: Journal of Information Technology and Computer Science Jurnal Nasional Komputasi dan Teknologi Informasi Journal of Information System, Applied, Management, Accounting and Research Jurnal Informatika Kaputama (JIK) Jurnal Informatika dan Rekayasa Perangkat Lunak Journal of Applied Engineering and Technological Science (JAETS) Jurnal Teknik Elektro dan Komputasi (ELKOM) JTIK (Jurnal Teknik Informatika Kaputama) Jurnal Sistem Komputer & Kecerdasan Buatan Jurnal Teknologi Informasi dan Komunikasi Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Pengabdian Nasional (JPN) Indonesia Journal of Applied Data Sciences Jurnal Cahaya Mandalika International Journal for Applied Information Management JUTECH : Journal Education and Technology COMMUNITY : Jurnal Pengabdian Kepada Masyarakat AJAD : Jurnal Pengabdian kepada Masyarakat International Journal Software Engineering and Computer Science (IJSECS) Aptekmas : Jurnal Pengabdian Kepada Masyarakat KNOWLEDGE: Jurnal Inovasi Hasil Penelitian dan Pengembangan Journal of Artificial Intelligence and Digital Business CKI On Spot JURNAL ILMIAH SAINS TEKNOLOGI DAN INFORMASI SmartComp Journal of Computer Science Application and Engineering Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Pengabdian Nasional (JPN) Indonesia kawanad Journal Innovations Computer Science International Journal of Applied Mathematics and Computing. International Journal of Computer Technology and Science International Journal of Information Engineering and Science Informasi interaktif : jurnal informatika dan teknologi informasi Computer Journal Journal of Engineering, Electrical and Informatics Jurnal Sinergi Digital dan Pemberdayaan Masyarakat
Betty Yel, Mesra
ST Ilmu Komputer Cipta Karya Informatika
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Pengembangan Aplikasi Game Berbasis Web ntuk Pembelajaran Berhitung Anak Usia Dini: Studi Kasus di TK Tunas Sandang Wahyudi, Tri; Yel, Mesra Betty; Siahaan, Rizkyrino Ronaldhino; Nurhidayanti, Dian
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.v4i4.5880

Abstract

Kemajuan teknologi informasi membuka peluang yang luas dalam menghadirkan inovasi pada bidang pendidikan, khususnya melalui pemanfaatan media pembelajaran digital yang interaktif. Salah satu bentuk inovasi tersebut adalah pengembangan media pembelajaran berbasis game edukatif yang dapat diakses secara daring. Penelitian ini bertujuan untuk merancang dan membangun aplikasi game pembelajaran interaktif berbasis web dengan memanfaatkan Google Apps Script sebagai platform pengembangan. Aplikasi ini dirancang untuk meningkatkan keterlibatan, motivasi, dan semangat belajar peserta didik melalui penerapan konsep permainan dalam proses pembelajaran. Metode pengembangan yang digunakan meliputi beberapa tahapan, yaitu analisis kebutuhan pengguna untuk mengidentifikasi karakteristik dan tujuan pembelajaran, perancangan antarmuka serta mekanisme permainan yang menarik dan mudah digunakan, implementasi aplikasi menggunakan HTML yang terintegrasi dengan Google Apps Script, serta tahap pengujian untuk memastikan fungsionalitas sistem berjalan secara optimal. Google Apps Script dipilih karena kemampuannya dalam mengintegrasikan berbagai layanan Google, seperti Google Sheets sebagai basis data penyimpanan skor dan progres pengguna, serta Google Drive sebagai media penyimpanan pendukung aplikasi. Hasil dari penelitian ini berupa aplikasi game edukatif berbasis web yang interaktif, responsif, dan mudah diakses melalui berbagai perangkat. Berdasarkan hasil uji coba, aplikasi dapat berjalan dengan baik tanpa kendala teknis yang signifikan dan menunjukkan potensi dalam meningkatkan motivasi belajar pengguna. Dengan demikian, aplikasi ini dapat dijadikan sebagai salah satu alternatif media pembelajaran digital yang inovatif dan relevan dengan kebutuhan pembelajaran modern.
Segmentasi Citra Grayscale Dengan Metode K-Means Clustering gerak tangan bahasa isyarat indonesia yel, Mesra Betty; Mulyana, Dadang Iskandar; Franido, Richard
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 11, No 4 (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.v11i4.4243

Abstract

Teknik pengolahan citra digital merupakan salah satu produk pengembangan dari teknologi komputasi. Pengolahan data citra Bahasa isyarat berbasis komputer mempermudah mencermati suatu isyrat dengan cepat dan tepat, namun potensi ini belum banyak terlihat baik untuk riset ataupun untuk keperluan di Indonesia. pengolahan yang lebih teliti diperlukan dari setiap perubahan pada Bahasa yang ada di suatu negara, terutama Alfabet.Citra yang diamati secara manual kurang episien dalam menentukan suatu menterjemahkan, sehingga menyebabkan analisis secara visual untuk objek yang menjadi perhatian sulit dilakukan. Salah satu pengolahan citra digital adalah segmentasi. Prosesnya dimulai dengan menginput citra digital bahasa isyarat, selanjutnya dikonversi citra. Kemudian dilakukan proses segmentasi terhadap citra. Selanjutnya, dipilih hasil segmentasi dan ditandai dengan metode K-means Clustering yang dipertajam dengan proses dilasi. Proses terakhir adalah membuat Kluster terhadap hasil proses dilasi dan citra Bahasa isyarat.data kluster/centroid dengan menggunakan Grayscale sebagai pemudah proses seleksi program. Keseluruhan proses ini dilakukan dengan menggunakan MATLAB, Pada percobaan kali ini saya mengngerjakan pengenalan objek dari sebuah gambar Bahasa Isyarat. menggunakan metode K-means.Kami lakukan dengan tujuan dapat membedakan yang  objek. Metode ini mengubah Citra yang semula berwarna menjadi gambar abu-abu dan nilai komponen luminance di atur ke nilai tertentu supaya mengurangi intentsitas cahaya. Kemudian menetapkan angka batas yang di gunakan untuk mengelompokan hubungan antara nilai K dan nilai tengah gambar. Setelah proses tersebut akan dilakukan pencocokan antara gambar segmentasi dengan ganbar asli dan akan di berikan tanda jika object sudah terdeteksi. Algoritma clusteringdisusun dengan  menggunakan  program  Matlab  2013a,  dengan menguji  coba  nilai k=  3, 4,  5,...,10. Dari  penelitian  diperoleh  bahwa k=  8  dapat  memvisualisasikan pembentukan warna yang lebih nyata dibanding dengan jumlah clusteryang lain.
PEMBUATAN MEDIA PEMBELAJARAN INTERAKTIF BERBASIS WORDWALL SEBAGAI INOVASI PEMBELAJARAN ANAK PAUD MUTIARA HATI PULO GEBANG Sri Lestari; Mesra Betty Yel; Shofy Kamila El Fajriah; Nurjanah Nurjanah; Rizkia Rachma
INTECOMS: Journal of Information Technology and Computer Science Vol. 9 No. 2 (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/vbj8dt61

Abstract

Pendidikan Anak Usia Dini (PAUD) merupakan tahap pendidikan yang sangat penting dalam pembentukan dasar perkembangan anak. Pada masa ini, anak mengalami proses pertumbuhan dan perkembangan yang pesat, baik dari aspek kognitif, afektif, maupun psikomotorik. Oleh karena itu, pembelajaran di PAUD harus dirancang secara menyenangkan, interaktif, dan sesuai dengan karakteristik anak yang cenderung aktif, imajinatif, serta penuh rasa ingin tahu. PAUD Mutiara Hati di Pulo Gebang, Jakarta Timur, merupakan salah satu lembaga pendidikan anak usia dini yang terus berupaya mengembangkan inovasi dalam proses belajar mengajar. Berdasarkan hasil observasi awal, kegiatan pembelajaran di PAUD ini masih didominasi oleh metode konvensional seperti ceramah dan lembar kerja (worksheet). Hal ini membuat beberapa anak cepat merasa bosan dan kurang fokus dalam mengikuti kegiatan belajar. Guru PAUD memiliki peran yang sangat vital dalam menciptakan lingkungan belajar yang menarik dan bermakna. Salah satu tantangan yang dihadapi guru adalah bagaimana mengembangkan metode dan media pembelajaran yang mampu menarik perhatian anak, memotivasi mereka untuk belajar, serta membantu mereka memahami konsep-konsep dasar seperti huruf, angka, warna, dan bentuk secara efektif.
Implementasi Mikrotik untuk Kebutuhan Access Internet Pelanggan UMKM Warung Kopi Opung Kemayoran Jakarta Pusat Wijayanto, Willy; Sarimole, Frencis Matheos; Yel, Mesra Betty
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 1 (2026): Februari - April
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i1.6453

Abstract

Perkembangan teknologi informasi menjadikan akses internet sebagai kebutuhan yang penting bagi Usaha Mikro, Kecil, dan Menengah (UMKM), khususnya warung kopi yang menyediakan layanan WiFi publik bagi pelanggan. Warung Kopi Opung Kemayoran Jakarta Pusat sebagai objek penelitian menghadapi permasalahan berupa koneksi internet yang kurang stabil, pembagian bandwidth yang tidak merata, serta belum optimalnya sistem keamanan dan autentikasi pengguna. Permasalahan tersebut berdampak pada menurunnya kualitas layanan dan kenyamanan pelanggan. Kegiatan Kuliah Kerja Praktek ini bertujuan untuk merancang dan mengimplementasikan manajemen jaringan berbasis MikroTik RouterOS sebagai solusi untuk meningkatkan kualitas layanan akses internet. Metode yang digunakan adalah metode campuran (mixed method), meliputi observasi dan wawancara dengan pengelola sebagai data kualitatif, serta pengukuran parameter jaringan seperti throughput, latency, jitter, dan kecepatan akses sebagai data kuantitatif. Implementasi dilakukan melalui konfigurasi dasar MikroTik, penerapan firewall dan keamanan jaringan, pengelolaan bandwidth menggunakan metode Per Connection Queue (PCQ) dan Queue Tree, serta penerapan hotspot dengan sistem captive portal untuk autentikasi pengguna. Hasil implementasi menunjukkan bahwa pengelolaan akses internet menjadi lebih stabil, merata, dan terkontrol. Kesimpulannya, penerapan manajemen jaringan berbasis MikroTik efektif meningkatkan kualitas layanan internet. Solusi ini dapat direkomendasikan sebagai penerapan praktis bagi UMKM dalam mengelola jaringan internet secara aman dan berkelanjutan.
Klasifikasi Kulit Wajah untuk Rekomendasi Produk Skincare Menggunakan Convolutional Neural Network (CNN) Lestari, Sri; Yel, Mesra Betty; Fallah, Ahlan Nur; Simanungkalit, Giraldi Freddy; Fadiliah, M. Ilyan; Adicandra, M. Dicky; Mulyana, Dadang Iskandar; Sutisna, Sutisna
Jurnal EMT KITA Vol 10 No 3 (2026): JULY 2026
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET) - Lembaga KITA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/emt.v10i3.6321

Abstract

This study utilizes the ResNet50 architecture with transfer learning techniques. The dataset consists of 5,200 facial images categorized into five classes: normal, dry, oily, combination, and sensitive. Data was split with an 80:10:10 ratio for training, validation, and testing. Data augmentation was applied to increase dataset variety. The recommendation system was developed using a content-based filtering approach with rule-based mapping between classification results and product attributes. The ResNet50 model achieved a classification accuracy of 90.4% on test data, with the highest F1-score for the oily class (94.7%) and the lowest for the sensitive class (86.9%). The recommendation system produced a Mean Reciprocal Rank (MRR) of 0.82 and precision@3 of 0.76. User satisfaction testing with 50 participants showed an 84% satisfaction rate. CNN with the ResNet50 architecture is effective for facial skin type classification with high accuracy. The integration of the classification system with content-based recommendation mechanisms successfully provides relevant skincare product recommendations. This system has the potential to become a digital tool that can enhance public skin health literacy and reduce errors in skincare product selection.
Design of An Internet of Things-Based Temperature And Light Monitoring System In The Classroom of SDN Bojong 02 Mesra Betty Yel; Satria Wira Yudha; Nandang Sutisna; Muhammad Rafli Fadillah
International Journal of Computer Technology and Science Vol. 1 No. 3 (2024): July : International Journal of Computer Technology and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijcts.v1i3.319

Abstract

One of the goals of a building is to create a comfortable environment that does not affect the health and operations of its occupants, therefore a system needs to be created to ensure comfort in classrooms. To fulfill a comfortable situation, there is a standard that regulates comfort, especially thermal and visual comfort. Thermal comfort is regulated in SNI 03-6572-2001 and visual comfort is regulated in SNI 03-6575-2001. The aim of this research is to design a tool to automatically monitor temperature and lighting, determine greater accuracy, determine temperature and lighting comfort distances, and test Smart Comfort measurement results in accordance with the SNI-03-6571-2001 and SNI-03-6575-2001 conformity standards. This design uses ESP32 with IoT-based LDR and DHT11 sensors which can be seen on the web and application, determines the accuracy and range of Smart Comfort values for monitoring temperature and lighting and determines the suitability of measurement quantities in the SDN PINANG 3 classroom.
Optimization of Real-Time Student Face Recognition Attendance Using the YOLO v10 Algorithm Mesra Betty Yel; Elviwani Elviwani; Nandang Sutisna; Ziyad Fernanda Syams
International Journal of Computer Technology and Science Vol. 2 No. 4 (2025): International Journal of Computer Technology and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijcts.v2i4.328

Abstract

This research is motivated by the problems in manual attendance systems at schools, which remain vulnerable to fraud, time-consuming, and inefficient. The expected solution is to develop an automated attendance system based on face recognition that can operate in realtime with high accuracy. The research object is vocational high school students, with the applied method implementing the YOLO v10 algorithm for face detection, followed by the face_recognition library for identification. The instruments used include an Imou CCTV camera as the input device, a mid-range laptop as the hardware platform, and Python with SQLite as the software environment for data processing and attendance storage. The results show that the developed system achieved an average face detection accuracy of 96% under normal lighting and 91% under low lighting, with an average processing speed of 27 FPS. The implementation of an anti-duplication feature also ensured data validity by allowing each student to be recorded only once per day. In conclusion, the use of YOLO v10 in face-based attendance proved to be effective, efficient, and capable of reducing fraud. The implication of this study is that the system can be applied in both Islamic boarding schools and general schools as a modernization of attendance systems, with a recommendation for further development through web-based application and cloud database integration.
Implementation of the Naive Bayes Model Multicategory for Analysis Sentiment Product Wardah on Shopee E-Commerce Mesra Betty Yel; Sopan Adrianto; Rasiban Rasiban; Eva Widiyanti
International Journal of Information Engineering and Science Vol. 2 No. 2 (2025): May : International Journal of Information Engineering and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijies.v2i2.6

Abstract

The growth of information technology has driven changes in consumer behavior, one of which is through e-commerce platforms such as Shopee. This phenomenon has generated a large number of customer reviews, including those for local cosmetic products such as Wardah. These reviews serve as an important source of information for understanding customer perceptions and satisfaction levels. However, manual analysis of large and linguistically diverse datasets is inefficient and potentially subjective. This study aims to implement the multi-category Naive Bayes algorithm to classify the sentiment of Wardah product reviews on Shopee into three categories: positive, negative, and neutral. The data were collected using a web scraping technique and processed through a series of preprocessing stages including case folding, tokenization, stopword removal, stemming, and text cleaning. Subsequently, term weighting was performed using the TF-IDF method prior to classification. Model performance was evaluated using a confusion matrix as well as accuracy, precision, and recall metrics. The results indicate that the multi-category Naive Bayes algorithm achieved an accuracy of 86.00%, a precision of 86.63%, and a recall of 98.24%. This approach can assist business practitioners in objectively understanding customer opinions and supporting decision-making in business strategy and product development.
Public Sentiment Analysis on the Issue of Stopping Tax Payments on Twitter Using the Naive Bayes Method and Support Vector Machine Mesra Betty Yel; Yuma Akbar; Sugiyono Sugiyono; Nova Mahendra
Journal of Engineering, Electrical and Informatics Vol. 2 No. 1 (2022): Februari : Journal of Engineering, Electrical and Informatics
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v2i1.203

Abstract

This research was conducted to find out public opinion on the Stop Paying Tax Issue on Twitter social media. In this study the author aims to use the Naïve Bayes Algorithm and Support Vector Machine in analyzing positive and negative sentiment labels and knowing the results of the accuracy of the Naïve Bayes algorithm and Support Vector Machine in posts by Twitter social media users related to Stop Paying Taxes. The data collection process in this study will using public data sets. The public data set is obtained from 2000 tweets. The final result of this comparison with the two test methods uses the naïve byes algorithm and Support Vector and Machine, namely the prediction results of Public Sentiment on Stop Paying Tax Issues based on data obtained from Twitter and implemented with the SVM (Support Vector Machine) method showing an accuracy value of 84.77 % Of the test data, it is predicted that 1,192 data are Negative Sentiment and 174 data are Positive Sentiment. Of the 1367 test data, 883 data were predicted as Negative Sentiment and 483 data as Positive Sentiment For the prediction results from Negative Sentiment, there were 1367 data predicted Negative and 1 data predicted Positive.
Application of TF-IDF and Xgboost Methods for Public Sentiment Analysis Towards Ozzaskin Skincare Brand on Social Media Mesra Betty Yel; Elviwani Elviwani; Nova Dahliyanti; Ahmad Syahran Zidane
Journal of Engineering, Electrical and Informatics Vol. 5 No. 1 (2025): Journal of Engineering, Electrical and Informatics
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v5i1.3676

Abstract

Ozzaskin is a local skincare brand founded by Ustadzah Oki Setiana Dewi that targets Muslim women and focuses on reducing dark spots and acne scars. Over time, this domestic brand has attracted considerable public attention on social media—particularly among mothers—garnering both praise for its product efficacy and criticism regarding price and texture. This study aims to analyze public sentiment toward the Ozzaskin brand by performing web scraping on Instagram and TikTok data, employing TF-IDF for textual feature extraction and XGBoost as the classification algorithm. The findings are expected to provide a comprehensive overview of consumer perceptions of Ozzaskin and to assist the marketing team and product developers in formulating communication strategies and improving product formulas that more effectively address user needs. The novelty of this research lies in the comprehensive application of the TF-IDF + XGBoost framework for brand-related sentiment analysis on Indonesian-language social media.
Co-Authors ., Novriyenni A'allya Nabilla Abdulloh Abror Khanif Adicandra, M. Dicky Adityo Purwo Nugroho Adjie Wongso Moerdyanto Adnan Wahab Adzani, Adinda Mutiara Agus Tanti Rahayu Ahluna, Faza Ahmad Bustomi Zuhari Ahmad Bustomi Zuhari Ahmad Saepudin Ahmad Syahran Zidane Akbar, Yuma Alaqsha Gilang Imantara Aldi Sitohang Almazar, Nufaisa Aloisius Awang Hariman Alwanto, Hilmi Amat Solihin Amelia, Ika Angel, Gadies Apriyanus Laia Ari Ramadhan Ari Sandi Fadhilah Arinal, Veri Aris Sufriman Aryanti, Putri Gea Aulia Maulida Axel Rajaliu Chaniago Azzizah, Putri Salfa Dhiyaa A’allya Nabilla B, Muhamad Hasbi Toharudin Bachrul Ulum Fajar Arrafi Bobby Arvian James Buaton, Relita Candra Milad Ridha Eislam Dadang Iskandar Mulyana` Desilia Silvida Devara Isbani Yusuf Dewi Riyanti Wibowo Dewi Sartika Br Ginting Dwi Swasono Rachmad Eddy Purwandono Edhy Poerwandono Eka Maheswara Elmira Rafa Putri Elviwani Elviwani Eri Novitasari Eva Widiyanti F, Joe Renaldy Fadhil Khanifan Achmad Fadiliah, M. Ilyan Fadlurohman Zaki Rifa’i Fallah, Ahlan Nur Fauzan Azima Febrianti, Syafira Fernanda Adhipramana Ferry Fajar Pratama Franido, Richard Frencis Matheos Serimole Fuzy Manik Gabriel Alezhandro Pakpahan Hayu Fadilatin Heny Nengsih Herdiyansyah herdi Hartanto Herlina Ade Saputri I Komang Dewa Ananda Putra Ibnazia Darnov Ikhwanul Kurnia Rahman Indah Wahyuni Irma Nur Najwa Jodi Juliansah Joey Abdiner Parlindungan Hutabarat Kastum Kastum Kiki Setiawan Kiki Setiawan Lailany, Afyra Ar’bah Mahyuddin K. M Nasution Mainia Mayasari Marsa Rifqa Marsan, Alvin Cahya Pratama Masaranto Laia Maulida, Aulia Miftahul Huda Mohammad Farhan Muhamad Fawaz Kamali Muhamad Ikbal Muhammad Dzaky Rahmanto Muhammad Fadlan Muhammad Faizal Lazuardi Muhammad Ikhsan Hakim Muhammad Rafli Fadillah Muhammad Syahrul Fattah Ramadhan Muhammad Umar Hafidz Mulya, Citra Pricylia Ananda Mutia Ramadhan Nandang Sutisna Nandang Sutisna Nandini Ladivina Sari Nesti Lutfianti Nova Dahliyanti Nova Dahliyanti Nova Mahendra Nugroho, Agung Yuliyanto Nur Aswan Multazam Nurfaishal, Muhammad Dzaky Nurhidayanti, Dian Nurjanah Nurjanah Nurul Khoiriyah Oka Prasetiyo Okta Saputra Oky Tria Saputra7 Opi Irawansah Prasetyo, Aji Dwi Putra, Adaffi Aditya Putri S, Dhiyah Labibah Nauli Rafi Bowo Raharjo Rafi Bowo Raharjo Rahmanto, Muhammad Dzaky Rasiban Rasiban Rasiban Regita, Anggit Nur Hannaa Rekardius Tafonao Richard Franido Ridho Arif Hidayat Ridho Arif Hidayat Rifai, Hanna Sabilla Rizkia Rachma Rodhiyah Romi Naufal Salam Ropindo Pelix Pane Rosiana, Grace Lolita Ryan Rivaldo Sahrul Hidayat Saidah, Andi Saifullah, Shoffan Salsabila Listania Iqhlima Salsabila Salsabila Sari Agustia Ningtyas Sarimole, Frencis Matheos Satria Wira Yudha Septiansyah, Ade Setiawan, Kiki Sfenrianto Sfenrianto Sfenrianto, Sfenrianto Shofy Kamila El Fajriah Siahaan, Rizkyrino Ronaldhino Simanungkalit, Giraldi Freddy Sinaga, Putri Cahyani SOPAN ADRIANTO Sopan Adrianto Sri Lestari Sri Lestari Sri Lestari Sugiono Sugiono Sugiyono Sugiyono Sugiyono Sugiyono Sutisna Sutisna Sutisna Sutisna T.Henny Febriana Harumy Tri Wahyudi Tri Wahyudi Tundo Tundo Tundo, Tundo Untung Surapati Untung Wahyudi Wahyu Hidayat Wewisman Tafonao Wijayanto, Willy Willy Wijayanto Wuri Nur Aini Yusi Gunawan Yusuf, Musalim Zaeny Miftah Ziyad Fernanda Syams Zulfikar Yusya Mubarak