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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
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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.
Analisis Pola Konsumsi Mahasiswa STIKOM CKI pada Wattpad Ditinjau dari Frekuensi, Durasi, Keterlibatan (Engagement), dan Preferensi Genre Cerita Indah Wahyuni; Eddy Purwandono; 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.v7i3.2013

Abstract

Wattpad is a digital platform that offers a variety of stories and enables users to not only read but also interact with writers and other readers. The usage patterns of Wattpad among students exhibit diverse characteristics, including access frequency, reading duration, engagement level, and genre preference. This study aims to analyze and categorize the consumption patterns of Wattpad stories among STIKOM CKI students based on these four characteristics using the K-Means Clustering algorithm. The research employs a descriptive-exploratory quantitative approach, with data collected through a five-point Likert scale questionnaire consisting of 15 statement items. A total of 30 respondents were used for instrument testing, while 80 respondents served as the main data set. The analysis process includes data examination, variable score formation, and standardization using Z-score. The results reveal two optimal clusters: Cluster 0 (65% of respondents), categorized as active and engaged readers, and Cluster 1 (35% of respondents), categorized as passive or selective readers. The preference for the teenage romance genre emerged as the indicator with the highest average score. These findings indicate that the consumption patterns of stories among students are not uniform, suggesting that clustering approaches can be utilized for a more comprehensive segmentation of reader behavior.
Digitalisasi UMKM Bengkel melalui Sistem Booking Servis dan Monitoring secara Real-Time Apriyanus Laia; Dadang Iskandar Mulyana; 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.v7i3.2014

Abstract

Digital transformation is increasingly important for micro, small, and medium enterprises (MSMEs), including vehicle repair workshops that still rely on manual registration, queue management, service records, and communication of repair progress. This study aims to design and implement a web-based service booking and real-time work monitoring system for workshop MSMEs. A qualitative research approach was applied using observation, interviews, literature review, and documentation. The system was developed iteratively using the Agile method and supports customer registration, service booking, customer and vehicle data management, reservation verification, mechanic work management, real-time status monitoring, notifications, payment recording, service history, and reports. The system was modeled using flowmaps, use case diagrams, activity diagrams, sequence diagrams, class diagrams, and an ERD. Black-box testing covered registration, login, booking service, real-time monitoring, payment, and reporting. The test results showed 100% success for all tested modules. The implementation also centralized operational data and improved the speed of information retrieval, while allowing customers to monitor vehicle repair progress without repeatedly contacting the workshop. The study concludes that the proposed system can support more structured, efficient, and transparent workshop services and contribute to MSME digitalization.
Implementasi Aplikasi Penjualan dan Pembayaran Kacamata Berbasis Android untuk UMKM Bintang Makmur Jakarta Salsabila Listania Iqhlima; Eddy Purwandono; 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.v7i3.2016

Abstract

Digitalization provides significant opportunities for Micro, Small, and Medium Enterprises (MSMEs) to enhance sales services, transaction management, and ease of access to product information for customers. This study aims to implement an Android-based sales and payment application for UMKM Bintang Makmur Jakarta. The research employs a qualitative approach through observation, interviews, and documentation to identify the existing sales and payment processes and translate them into system requirements. The application is developed using Kotlin and Android Studio, with Firebase supporting data storage and application services. The main functions of the application include registration and login, product catalog, product details, product search, shopping cart, checkout, payment confirmation through proof-of-payment upload, order status and history, product ratings and comments, customer-admin chat, profile management, and an admin dashboard for product and order management. System design is represented using use case and activity diagrams. Testing using Black Box Testing shows that all tested functions operate according to the defined requirements. This application provides a more structured digital channel for delivering product information, ordering, payment confirmation, and order management at UMKM Bintang Makmur.
Implementasi Aplikasi Pemesanan Lapangan Badminton Berbasis Android Menggunakan Flutter pada UMKM GOR Tambora Jakarta Barat I Komang Dewa Ananda Putra; Kiki Setiawan; 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.v7i3.2017

Abstract

This research aims to implement an Android-based badminton court booking application using Flutter at UMKM GOR Tambora Jakarta Barat. The existing booking process was conducted manually through communication between customers and administrators, creating limitations in schedule information, booking records, transaction management, and the risk of schedule conflicts. The research applies observation, interviews, and literature study to identify business processes and system requirements. Software development uses the Waterfall model, consisting of requirements analysis, system design, implementation, testing, and maintenance. The application is developed with Flutter and Dart and is supported by a database for storing user, administrator, court, schedule, booking, and transaction data. The system provides registration and login, court information, real-time schedule viewing, booking, payment and proof-of-payment upload, booking history, profile management, and administrator functions for managing users, courts, schedules, bookings, transactions, and reports. Black Box Testing is used to evaluate functional behavior. The documented test cases produced valid results for the tested functions, and the thesis reports that the system was considered valid and ready for use. Implementation also produced positive operational impacts, including faster reservations, easier access to schedule information, more organized data management, and better documentation of payment processes.
Pengembangan Sistem Informasi Penjualan Obat Berbasis Web dengan Prediksi Kebutuhan Stok Menggunakan Metode Moving Average pada Toko Obat Azka Cengkareng Jakarta Barat Masaranto Laia; 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.v7i3.2018

Abstract

This study develops a web-based medicine sales information system with sales forecasting for Azka Pharmacy in Cengkareng, West Jakarta. The existing process relied on manual recording and rekapitulation, making it difficult to use historical sales data as a basis for planning future inventory. The research uses a qualitative descriptive approach with observation, interviews, and literature study. System development follows the Waterfall model covering requirements analysis, system design, implementation, testing, and maintenance. The system is implemented using PHP, MySQL, XAMPP, HTML, CSS, and JavaScript, while UML is used for system modeling. The application provides login, product and category management, purchase transactions, sales transactions, actual sales data, forecasting, and reporting. The forecasting module applies the Single Moving Average method using historical sales data. In the PARACETAMOL example, a moving-average setting of three is used and the forecast for period 13 is 540 units. Forecast evaluation is presented using error, cumulative error, Mean Absolute Deviation (MAD), and Tracking Signal. The resulting system provides structured sales and inventory information and supports planning of future medicine stock.
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.
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 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 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 William David Ravelino Willy Wijayanto Wuri Nur Aini Yara Raslita Yusi Gunawan Yusuf, Musalim Zaeny Miftah Ziyad Fernanda Syams Zulfikar Yusya Mubarak