Article Per Year (5 Year)
p-Index From 2021 - 2026
13.497
P-Index
This Author published in this journals
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 Informatika dan Komputer 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 CENDEKIA : Jurnal Ilmu Pengetahuan 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 Jurnal Nasional Komputasi dan Teknologi Informasi
Betty Yel, Mesra
ST Ilmu Komputer Cipta Karya Informatika
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 114 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 16 Documents
Search
Journal : international journal software engineering and computer science ijsecs

 1   2 
Application of the K-Medoids Algorithm in Clustering PAM Customers Based on Provinces in Indonesia Almazar, Nufaisa; Yel, Mesra Betty
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 1 (2024): APRIL 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i1.2229

Abstract

Clean water is a basic need that is very important for human life. In Indonesia, many clean water companies supply water for community needs. Indonesia's government-owned clean water company has many customers spread across various provinces. This research aims to apply the k-medoids algorithm in clustering PAM customers based on provinces in Indonesia to determine which provinces are included in the low, medium, and high-level clusters of PAM customers. The data used in this research is on the number of PAM customers, the amount of water distributed, and the value of the water distributed from 1998 to 2021 to 34 provinces in Indonesia. This research obtained 3 clusters, namely low, medium, and high-level clusters determined by the number of PAM customers, the amount of water distributed, and the value of the water distributed in each province. Cluster 1 (C1) is a low-level cluster that obtained results from 19 provinces, Cluster 2 (C2) is a medium-level cluster that obtained results from 11 provinces, and Cluster 3 (C3) is a high-level cluster that obtained results from 4 provinces. And get a k-medoids cluster validation value of 0.014846718. In this way, it is hoped that the government can identify areas in each province that require improvement or improvement in making appropriate decisions regarding clean water resources to provide better services to customers
Implementation of Android-Based Futsal Court Booking Application Using Flutter (Case Study: Futsal Hayani Kopti, West Cengkareng) Veri Arinal; Mesra Betty Yel; I Komang Dewa Ananda Putra; Fauzan Azima; Mohammad Farhan; Muhammad Ikhsan Hakim; Dadang Mulyana Iskandar; Sutisna Sutisna
International Journal Software Engineering and Computer Science (IJSECS) Vol. 6 No. 1 (2026): APRIL 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v6i1.6496

Abstract

The rapid development of information technology has encouraged service providers to improve efficiency and service quality, including in futsal court rental services. At Futsal Hayani Kopti Cengkareng Barat, the court booking process is still conducted manually through phone calls or direct visits, which often results in scheduling conflicts, limited access to information, and unstructured data management. These conditions reduce the effectiveness and efficiency of the booking process. This practical work aims to design and implement an Android-based futsal court booking application using the Flutter framework. The developed application provides real-time information on court availability, rental prices, facilities, and online booking features. In addition, the system assists administrators in managing booking schedules and transaction data in a centralized manner. The research method applied is qualitative, employing observation, interviews, documentation, and literature study. System development follows the System Development Life Cycle (SDLC) approach with an internet-based client–server architecture. The implementation results indicate that the application improves booking efficiency, reduces scheduling conflicts, and enhances service quality as well as user satisfaction.
Development of a Google Apps Script-Based Transaction System with Business Intelligence for Sales Trend Analysis at Dapoer Mba Nina MSME Muhammad Umar Hafidz; Dadang Iskandar Mulyana; Mesra Betty Yel
International Journal Software Engineering and Computer Science (IJSECS) Vol. 6 No. 2 (2026): AUGUST 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v6i2.7614

Abstract

Dapoer Mba Nina is a culinary micro, small, and medium-sized enterprise (MSME) that still relies on manual transaction recording using a cash book, which creates risks of recording errors, difficulties in monitoring sales trends, and challenges in making data-driven business decisions. This study aims to design and develop a web-based transaction system using Google Apps Script integrated with a Business Intelligence dashboard based on Chart.js to analyze sales trends at Dapoer Mba Nina. The study employed an applied research approach using the Waterfall system development model, which consists of requirements analysis, system design, implementation, testing, and evaluation. The developed system uses Google Apps Script for data processing and the web application, Google Sheets as a cloud-based data storage medium, and Chart.js for visualizing sales data on the dashboard. System testing was conducted using Black Box Testing to validate system functionality and User Acceptance Testing (UAT) to assess user acceptance and the suitability of the system for operational needs. The implementation results show that the system can automate sales transaction recording, generate daily, weekly, and monthly sales reports, and display sales trends and best-selling products through an interactive dashboard. The Black Box Testing results show that all tested scenarios operated as designed, while User Acceptance Testing achieved a score of 96%, categorized as very good. The developed system can help improve transaction data management efficiency and support data-driven business decision-making at Dapoer Mba Nina.
Public Sentiment Analysis of the #KaburAjaDulu Hashtag Using a Combination of Support Vector Machine (SVM) and Random Forest Algorithms Muhammad Derry Oktaviandi; Yuma Akbar; Mesra Betty Yel
International Journal Software Engineering and Computer Science (IJSECS) Vol. 6 No. 3 (2026): DECEMBER 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v6i3.8068

Abstract

This study aims to analyze public sentiment toward the #KaburAjaDulu hashtag on platform X and compare the classification performance of Support Vector Machine (SVM), Random Forest, and a Voting Classifier ensemble. A total of 1,502 posts were collected via web scraping. The text preprocessing pipeline comprised case folding, text cleaning, tokenization, stopword removal, and stemming using the Sastrawi library. Processed texts were transformed into numerical feature vectors using Term Frequency-Inverse Document Frequency (TF-IDF), followed by an 80:20 train-test split. The empirical distribution revealed an extreme class imbalance: negative sentiment dominated at 96.54% (1,450 posts), followed by neutral at 3.33% (50 posts) and positive at 0.13% (2 posts), generating an imbalance ratio of 725:1. SVM and Random Forest achieved identical aggregate scores with 95.35% accuracy, 90.91% precision, 95.35% recall, and a 93.08% F1-score; however, both completely failed to detect neutral and positive classes. The Voting Classifier achieved the highest aggregate performance, reaching 96.01% accuracy, 95.84% precision, 96.01% recall, and a 94.55% F1-score by successfully identifying two neutral instances. Nevertheless, the ensemble model was unable to recognize positive sentiment, yielding zero sensitivity for the extreme minority class. These findings demonstrate that combining SVM and Random Forest offers marginal improvements in aggregate metrics but remains constrained by data distribution. Consequently, relying solely on aggregate accuracy produces misleading evaluations in severely skewed datasets, emphasizing the necessity of per-class metrics, confusion matrices, and data-balancing strategies for social media sentiment classification.
Implementation of a Web-Based Smart Water Ordering System with Telegram Notification and Monitoring Dashboard for Olivia MSME Ropindo Pelix Pane; Mesra Betty Yel; Edhy Poerwandono
International Journal Software Engineering and Computer Science (IJSECS) Vol. 6 No. 3 (2026): DECEMBER 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v6i3.8155

Abstract

Many micro, small, and medium enterprises (MSMEs) selling refillable drinking water still manage customer orders manually through phone calls and instant messaging, resulting in scattered transaction records, delayed responses, and limited operational monitoring. This study aimed to design, implement, and evaluate a web-based Smart Water Ordering System for Olivia MSME by integrating Quick Response Code Indonesian Standard (QRIS) payment, Telegram Bot notifications, and a centralized monitoring dashboard. The system was developed using the Waterfall Software Development Life Cycle (SDLC), encompassing requirement analysis, Unified Modeling Language (UML)-based system design, implementation using PHP and MySQL, and comprehensive system testing. The platform incorporates customer order placement, coordinate-based shipping-distance calculation, cashless transaction processing, and a moderated customer feedback mechanism. Functional validation through Black Box Testing confirmed that all core modules executed successfully without functional discrepancies, with the asynchronous Telegram webhook delivering order alerts in under two seconds. User Acceptance Testing involving 23 respondents (one administrator and twenty-two customers) yielded average satisfaction scores ranging from 4.7 to 4.9 out of 5, demonstrating high user acceptance across usability, interface clarity, feature suitability, information accessibility, and operational support. Practically, the system replaced conventional phone-based communication by centralizing transaction records, automating payment verification workflows, and providing real-time sales analytics through an integrated dashboard. These findings indicate that unifying transactional, payment, instant alert, and administrative monitoring components into a single web application effectively improves operational efficiency and accelerates the digital transformation of small-scale water-refill enterprises.
Main Menu Sales Forecasting at Bakso Pak Eko MSME Using the Single Exponential Smoothing Method Gabriel Alezhandro Pakpahan; Mesra Betty Yel
International Journal Software Engineering and Computer Science (IJSECS) Vol. 6 No. 3 (2026): DECEMBER 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v6i3.8215

Abstract

Sales volume is a critical factor influencing business sustainability, particularly for Micro, Small, and Medium Enterprises (MSMEs) operating in the perishable culinary sector. Bakso Pak Eko MSME faces persistent operational challenges in daily production planning, which currently relies on manual intuition and informal estimation, frequently resulting in inventory surpluses, ingredient spoilage, or unmet consumer demand. To address these operational inefficiencies, this study develops a responsive web-based sales forecasting system for primary menu items using the Single Exponential Smoothing (SES) method to support data-driven production scheduling. The SES method was selected due to its mathematical simplicity, low computational overhead, and proven efficacy in processing short-term historical sales records that exhibit stationary demand patterns without pronounced trend or seasonal fluctuations. The application was engineered using Python and the Streamlit framework, integrating dynamic menu catalog administration, daily transaction logging, customizable smoothing constants, automated forecasting routines, and real-time gross revenue estimation. Functional reliability was verified through Black Box Testing, while predictive performance was benchmarked using the Mean Absolute Percentage Error (MAPE) metric across three core menu items: regular meatballs, egg meatballs, and jumbo meatballs. The evaluation results demonstrate that the application operates reliably across all functional workflows without runtime anomalies. Configured with an optimal smoothing constant of α = 0.3, the model achieved a MAPE value of 1.56%, categorizing the forecast as highly accurate with an absolute deviation of only one to two portions per menu item. Furthermore, directly translating unit portion projections into daily revenue calculations provides the enterprise owner with actionable financial transparency alongside physical preparation targets. Consequently, this system effectively bridges computational modeling and shop-floor decision-making, enabling MSME managers to streamline raw material procurement, mitigate food waste, and enhance overall operational cost-efficiency.
Implementation of an AppSheet-Based Sales and Inventory Information System at Wijaya Baru Store Sri Lestari; Yara Raslita; Mesra Betty Yel
International Journal Software Engineering and Computer Science (IJSECS) Vol. 6 No. 3 (2026): DECEMBER 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v6i3.8233

Abstract

Modern small and medium retail enterprises increasingly rely on digital information systems to streamline operational workflows and improve data accuracy. Toko Wijaya Baru previously conducted sales recording, inventory tracking, and financial reporting using conventional manual paper ledgers. This manual approach created substantial operational vulnerabilities, including calculation errors, delayed information retrieval, stock discrepancy risks, and potential data loss. This study aims to design, develop, and implement an integrated sales and inventory information system utilizing the AppSheet no-code platform to enhance operational efficiency, data reliability, and administrative accuracy. Data collection was conducted through qualitative observation, in-depth interviews, and document analysis, while the system development followed an iterative prototyping methodology to align functional modules with actual operational requirements. The system integrates an AppSheet user interface with Google Sheets as a cloud-based relational database backend, incorporating core features for master product management, sales transaction processing, restocking administration, automated real-time stock recalculation via dynamic formulas, and automated report generation. System validation through Black Box Testing demonstrated that all functional modules operate successfully without discrepancies. The post-implementation findings confirm that the system eliminates manual record redundancies, accelerates transaction throughput, prevents stock miscalculations, and provides structured sales visibility. Ultimately, this implementation demonstrates that an AppSheet-based no-code architecture serves as a practical, cost-effective, and scalable digital transformation solution for retail store management.
Implementation of a Progressive Web App for Teacher Attendance and Payroll System at PAUD Mckids West Bekasi Devara Isbani Yusuf; Veri Arinal; Mesra Betty Yel
International Journal Software Engineering and Computer Science (IJSECS) Vol. 6 No. 3 (2026): DECEMBER 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v6i3.8244

Abstract

PAUD McKids West Bekasi is an early childhood education institution that previously managed teacher attendance using manual paper logbooks and calculated payroll via basic spreadsheets. Consequently, the monthly recapitulation process required 2–3 working days and remained susceptible to human calculation errors. This study aims to design and implement a Progressive Web App (PWA) for the teacher attendance and payroll system, named SIPAG McKids, providing a computerized, integrated, and multi-device accessible administrative platform. The research employed the Research and Development (R&D) method using the Waterfall software engineering model, encompassing requirements analysis, system design, implementation, testing, and maintenance. The system was developed using the CodeIgniter 3 framework under the Model-View-Controller (MVC) architecture, a MySQL relational database, a Bootstrap 5 interface, DOMPDF for automated pay slip generation, and a Progressive Web App layer driven by a Web App Manifest and Service Workers to facilitate installation and offline caching. System evaluation comprised Black Box Testing for functional validation, PWA component verification, security assessments referencing the OWASP Top 10 guidelines, and performance audits using Google Lighthouse. The implementation results demonstrated that all Black Box testing scenarios functioned as designed. Security mechanisms—including Bcrypt password hashing, CSRF protection, Query Builder parameterization against SQL Injection, and Role-Based Access Control (RBAC)—operated correctly. Furthermore, self-service attendance based on selfie photography and GPS coordinates, alongside a tiered payroll approval workflow (Draft–Approved–Paid), operated successfully with transactional records verified in the production database. Google Lighthouse audit scores achieved 85 for desktop performance, 99 for mobile performance, 100 for Best Practices, 91 for SEO, and 78 for Accessibility. The system effectively enhances administrative recapitulation efficiency, improves calculation accuracy for tardiness deductions, ensures payroll transparency for teachers, and provides seamless mobile access for the institution.
Apriori-Based Data Mining of Sales Transactions at Buya Aqiqah MSME Muhammad Jundi Hafizh; Frencis Matheos Sarimolle; Mesra Betty Yel
International Journal Software Engineering and Computer Science (IJSECS) Vol. 6 No. 3 (2026): DECEMBER 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v6i3.8246

Abstract

Buya Aqiqah is a micro, small, and medium enterprise (MSME) providing aqiqah—an Islamic ceremonial catering service traditionally celebrating a child's birth—and general catering in Depok, Indonesia, since 2003. Although the enterprise has accumulated substantial sales transaction data, these records have previously served solely as manual administrative archives rather than an analytical foundation for identifying customer purchasing patterns to support managerial decision-making. This study aimed to apply the Apriori algorithm to discover association patterns among menu items using Buya Aqiqah's historical sales transaction records. Guided by the Knowledge Discovery in Databases (KDD) framework, the analysis was executed using RapidMiner Studio. A total of 137 digitized sales transactions were selected, cleaned, transformed into binary format, and evaluated across three parameter scenarios: Scenario 1 (minimum support 5%, minimum confidence 50%), Scenario 2 (minimum support 10%, minimum confidence 60%), and Scenario 3 (minimum support 15%, minimum confidence 70%). Across all three scenarios, two valid association rules consistently emerged: Gulai → Sate (support 67.2%, confidence 94.8%, lift ratio 1.065) and Sop → Sate (support 19.7%, confidence 100%, lift ratio 1.123). Scenario 1 was determined as the most representative parameter setting because it captured the broadest frequent itemset coverage without omitting any valid rules. The results position Sate as the core menu item consistently paired with other dishes, confirming that the identified associations reflect genuine purchasing behaviors rather than random co-occurrences. These findings provide empirical evidence for management to design targeted bundling packages—specifically Gulai–Sate and Sop–Sate—while prioritizing inventory procurement for core ingredients.
Web-Based Household Waste Management Information System at Rumah Pilah Sawitri William David Ravelino; Mesra Betty Yel; Veri Arinal
International Journal Software Engineering and Computer Science (IJSECS) Vol. 6 No. 3 (2026): DECEMBER 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v6i3.8247

Abstract

Household inorganic waste management at the community-based unit Rumah Pilah Sawitri currently relies on conventional paper-based ledgers for daily transactions. This manual mechanism presents four major operational constraints: lengthy transaction handling times reaching 10 minutes per member, vulnerability to mathematical calculation errors (human error), risks of physical record deterioration or loss, and recurring delays in preparing monthly financial and operational reports. To resolve these issues, this study designs and implements a web-based household waste management information system. The software engineering methodology adopts the System Development Life Cycle (SDLC) Waterfall approach, encompassing requirements analysis, system architecture and database design using Unified Modeling Language (UML) and Entity Relationship Diagrams, program implementation using PHP and MySQL, and system verification. Functional validity was evaluated through black-box testing, while usability and acceptance were measured via User Acceptance Testing (UAT) using a 5-point Likert scale across administrators and members. Empirical implementation results confirm that the system reduces average transaction duration by 80%, decreasing from 10 minutes to 2 minutes per member by automating weight-to-price balance conversions. Furthermore, the web platform eliminates calculation discrepancies, enables instant administrative report compilation, and provides members with real-time balance tracking dashboards. UAT evaluation yielded high acceptance scores ranging from 4.7 to 4.9 across ease of use, interface clarity, and functional relevance, validating the system as viable for full operational deployment.
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 Aisha Yulia Akbar, Yuma Alaqsha Gilang Imantara Aldi Sitohang Almazar, Nufaisa Aloisius Awang Hariman Alwanto, Hilmi Alya Kamila 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` Dedi Wijaya 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 Fatchurrachman Fatchurrachman Fauzan Azima Febrianti, Syafira Fernanda Adhipramana Ferry Fajar Pratama Franido, Richard Frencis Matheos Sarimolle 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 Like Adriyani Syam 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 Derry Oktaviandi Muhammad Dzaky Rahmanto Muhammad Fadlan Muhammad Faizal Lazuardi Muhammad Ikhsan Hakim Muhammad Jundi Hafizh 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 Obed El Fatih Syams 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 Wewisman Taofanao Wijayanto, Willy William David Ravelino Willy Wijayanto Wuri Nur Aini Yara Raslita Yusi Gunawan Yusuf, Musalim Zaeny Miftah Ziyad Fernanda Syams Zulfikar Yusya Mubarak