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All Journal Jurnal Penelitian Saintek Teika Jurnal Buana Informatika JSI: Jurnal Sistem Informasi (E-Journal) JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnas Nasional Teknologi dan Sistem Informasi Annual Research Seminar ANDHARUPA CESS (Journal of Computer Engineering, System and Science) Jurnal Ilmiah KOMPUTASI Sistemasi: Jurnal Sistem Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Information System for Educators and Professionals : Journal of Information System MBR (Management and Business Review) JOURNAL OF APPLIED INFORMATICS AND COMPUTING SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi J I M P - Jurnal Informatika Merdeka Pasuruan Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal ULTIMA InfoSys Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal Ilmiah Media Sisfo JURIKOM (Jurnal Riset Komputer) JURTEKSI Jurnal Riset Informatika JOISIE (Journal Of Information Systems And Informatics Engineering) CCIT (Creative Communication and Innovative Technology) Journal JUSIM (Jurnal Sistem Informasi Musirawas) INFOMATEK: Jurnal Informatika, Manajemen dan Teknologi Building of Informatics, Technology and Science Journal of Information Systems and Informatics Jurnal Teknologi Dan Sistem Informasi Bisnis Zonasi: Jurnal Sistem Informasi Jurnal Pengabdian Masyarakat Bumi Raflesia JATI (Jurnal Mahasiswa Teknik Informatika) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Teknomatika (Jurnal Teknologi dan Informatika) REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat KLIK: Kajian Ilmiah Informatika dan Komputer JUSTIN (Jurnal Sistem dan Teknologi Informasi) Konstelasi: Konvergensi Teknologi dan Sistem Informasi Jurnal Algoritma SmartComp The Indonesian Journal of Computer Science JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Jurnal Komtika (Komputasi dan Informatika)
Allsela Meiriza, Allsela
Universitas Sriwijaya
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Analisis Kepuasan Pengguna Aplikasi Netflix Mobile di Kota Palembang Menggunakan Metode End User Computing Satisfaction (EUCS) M, Nys Marliza Tiara; Oktadini, Nabila Rizky; Putra, Pacu; Sevtiyuni, Putri Eka; Meiriza, Allsela
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 1 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v7i1.37833

Abstract

Netflix is a movie streaming media platform that has been used by millions of internet users around the world, including in Indonesia. However, based on user reviews on the Play Store, there are still many users who give poor ratings to the Netflix Mobile application, causing a decrease in rating from 4.3 to 3.8. The purpose of this study is to determine how satisfied users are with the Netflix Mobile application using the End User Computing Satisfaction (EUCS) method with five variables, namely Content, Accuracy, Format, Ease of Use and Timeliness, then the results of the study can later be used as a priority for improvement so that the rating goes up and can be an evaluation material for improving the Netflix Mobile application in the future. Likert scale measurements and questionnaires were used to obtain data for this study, the analysis results of this study show that the variable that has the lowest satisfaction with a value of 74.85% is the Accuracy variable. Therefore, the Netflix Mobile application needs to develop the accuracy of its application performance system in order to minimize errors and always present correct and accurate film information.
Analisis User Experience Pada Aplikasi Mobile Alfagift dengan Menggunakan Metode Heart Metrics Mulyadi, Mulyadi; Meiriza, Allsela; Oktadini, Nabila Rizky; Putra, Pacu; Sevtiyuni, Putri Eka
Journal of Information System Research (JOSH) Vol 5 No 3 (2024): April 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i3.4993

Abstract

Alfagift is a mobile-based application launched in 2015 by alfamart. Alfagift mobile application has 6 interesting features in the form of making it easier for users to get various benefits provided by the Alfagift application. The six features in question include Offer (Promo), Voucher, Catalogue, Messages, Store Locator, and Contact Us. As a loyal alfamart customer, you must have this application to get the benefits that have been provided. Plus, using the Alfagift application will get various other benefits. There are problems such as frequent failed transactions, no information about expiration dates , applications often experience technical problems such as bugs and not all people can use it because the interface is too complex. The purpose of the study is to analyse the user experience of Alfagift users in the form of 5 variables in Heart Metrics and suggest improvements for the Alfagift application in the future so that it becomes a better application. This study used 100 people in Palembang city, based on the answers from respondents, the results of 5 different variables were obtained in the form of Happiness getting a percentage of 73.13%, Engagement getting a percentage of 77.2%, Adoption getting a percentage of 76.8%, Retention getting a percentage of 72.93%, Task success getting a percentage of 76.26%, and overall getting a percentage of 75.26% so that it can be stated that the alfagift application is classified as good.
Penerapan Metode User Centered Design (UCD) Dalam Perancangan System Register BRI Document Management System Arnan, Sefian; Meiriza, Allsela; Oktadini, Nabila Rizky; Putra, Pacu; Sevtiyuni, Putri Eka
Journal of Information System Research (JOSH) Vol 5 No 4 (2024): Juli 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i4.5656

Abstract

This study aims to design a user interface for the Brimen document borrowing/returning registration application by implementing the user centered design (UCD) method at PT. Bank Rakyat Indonesia (Persero), Tbk. Especially the A.rivai Palembang Branch. This destop application design was created because the customer document borrowing/returning registration system in the Brimen division is currently still done manually using an A5 book, this is considered not very effective and efficient because miscommunication often occurs when documents have been borrowed without registering, in addition, searching for the location of customer documents and storing register data still involves Microsoft Excel so that this system is still less flexible when operated by ADK officers or Brimen employees. By optimizing the user interface design, namely the User Interface through an approach using the User Centered Design (UCD) method, it is hoped that the designed application can provide a better user experience and support operational efficiency in managing Brimen customer debtor data archives. There are several phases including understanding the use of the application, analyzing user needs in depth, creating responsive design solutions, and continuous evaluation and testing. By carrying out these phases, researchers can find and solve existing problems and create user interface (UI) designs that respond to user expectations and desires. This test involved 10 users using the System Usability Scale (SUS) questionnaire. The results showed that the Brimen Customer/Debtor Document Register Destop Application obtained an average score of 76.5 on the SUS survey. This value illustrates good user satisfaction and the application design meets user needs. Therefore, the design of this application can provide an optimal experience that better meets user needs.
DESIGNING INTERFACE OF MARKETPLACE BUILD ID MERCHANT ARCHITECT USING TASK-CENTERED SYSTEM DESIGN Ayu, Nabila Riska; Putra, Pacu; Oktadini, Nabila Rizky; Sevtiyuni, Putri Eka; Meiriza, Allsela
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 9 No. 4 (2023): September 2023
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v9i4.2658

Abstract

Abstract: The advancement of information technology is progressively exerting significant impact across diverse aspects of life, including business. PT Semen Baturaja Tbk is developing a marketplace platform called Build Id to meet community's needs for high-quality construction materials and services, also aims to enhance company's product sales and brand recognition. A system with quality provides ease of use in order to achieve customer satisfaction. Build Id merchant for architects website requires user-friendly design recommendations to increase the user experience when it gets distributed to the market. To achieve this goal, Task-Centered System Design (TCSD) method is being used to focused the design process. TCSD is a method in Human Computer Interaction (HCI) used to identify task and user requirements. The method consists of 4 stages, namely, identification, user-centered requirements analysis, design through scenarios, and walkthrough evaluation. In this study, identification was carried out by conducting system observations and interviews with Build Id team at Digital Marketing Unit of PT Semen Baturaja Tbk and architect as the prospective system users. The interface design results were evaluated using System Usability Scale (SUS) and received final score of 69.615, indicating that the interface design made using TCSD method is feasible for users to use. Keywords: Interface; System Usability Scale; Task-Centered System Design Abstrak: Perkembangan teknologi informasi kian berpengaruh besar dalam berbagai bidang kehidupan, termasuk di dunia bisnis. PT Semen Baturaja Tbk mengembangkan suatu sistem dalam bentuk marketplace dengan nama Build Id, dengan tujuan untuk memenuhi kebutuhan bahan bangunan dan jasa konstruksi yang berkualitas bagi masyarakat, serta memperluas penjualan produk dan branding merk dari PT Semen Baturaja Tbk ini sendiri. Sistem yang berkualitas memberikan kemudahan dan kenyamanan dalam penggunaannya demi mewujudkan kepuasan pelanggan. Build Id merchant untuk arsitek memerlukan rekomendasi desain atau prototype user interface yang user friendly demi meningkatkan pengalaman pengguna ketika didistribusikan ke pasaran nantinya. Metode Task-Centered System Design (TCSD) digunakan untuk membantu proses perancangan lebih terarah. TCSD adalah metode dalam Human Computer Interaction (HCI) yang digunakan untuk mengidentifikasi kebutuhan task dan pengguna. Metode TCSD terdiri dari 4 tahap yaitu, identification, user-centered requirements analysis, design through scenario, dan walkthrough evaluation. Identifikasi dalam penelitian ini dilakukan dengan observasi dan wawancara bersama tim Build Id dan calon pengguna sistem yaitu arsitek. Hasil dari rancangan interface kemudian dievaluasi menggunakan System Usability Scale (SUS) dengan hasil skor akhir 69,615, menunjukkan rancangan interface yang dibuat dengan metode TCSD ini layak untuk digunakan pengguna. Kata kunci: Interface; System Usability Scale; Task-Centered System Design
Analysis of User Experience on the MyPertamina Application using User Experience Questionnaire Method Ramadhan, Muhammad Gilang; Oktadini, Nabila Rizky; Putra, Pacu; Sevtiyuni, Putri Eka; Meiriza, Allsela
Jurnal Komtika (Komputasi dan Informatika) Vol 7 No 2 (2023)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v7i2.10467

Abstract

MyPertamina is an application launched by PT Pertamina (Persero) in 2017. Although the MyPertamina application has many programs that should be able to facilitate the community but unfortunately the rating of this application is still bad, namely 3.3 on a scale of 5 on Google PlayStore from hundreds of thousands of user reviews both android and ios this application has negative reviews. Thus user experience (UX) analysis is needed. User Experience Questionnaire (UEQ) is the right method in this research. Because this method interacts directly with what users feel when operating the MyPertamina application. There are 6 variables namely attractiveness, stimulation, and novelty that have a value (above average) except perspicuity and dependability (below average), and there is an average scale of three aspects and a value of Pragmatic Quality 1.11 (positive), Hedonic Quality 0.93 (positive), and Attractiveness 1.21 (positive).
An Ensemble Learning Approach for Sentiment Analysis of Maxim Application Reviews Using SVM, KNN, and Random Forest Sasmita, Ruth Mei; Meiriza, Allsela; Novianti, Hardini
Journal of Applied Informatics and Computing Vol. 9 No. 6 (2025): December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i6.11447

Abstract

The development of online transportation applications such as Maxim has increased the need for sentiment analysis to understand user opinions from reviews on the Google Play Store. The main challenges in this analysis are language diversity, variations in writing style, and data imbalance, which affect model accuracy. This study aims to evaluate the performance of the Support Vector Machine (SVM), K-Nearest Neighbor (KNN), and Random Forest (RF) algorithms, as well as ensemble approaches through the Voting Classifier and Combined Classifier, in sentiment analysis of Maxim app reviews. The dataset consists of 2,851 Indonesian-language reviews collected through web scraping from the Google Play Store in 2025. Sentiment labels were automatically determined based on user ratings, where ratings of 4–5 were categorized as positive and ratings below 4 as negative, with an initial distribution of 2,295 positive and 556 negative reviews before balancing using SMOTE–Tomek Links. Preprocessing steps included case folding, tokenization, stopword removal, and stemming using Sastrawi, while feature weighting was performed with unigram TF-IDF. The Combined Classifier merged the probability scores from the SVM, KNN, and RF models to produce the final prediction. Evaluation was conducted using 5-Fold Cross Validation with accuracy, precision, recall, F1-score, and ROC-AUC as evaluation metrics. The results show that RF and the Combined Classifier achieved the best performance with 85% accuracy, 87% precision, 85% recall, 86% F1-score, and 0.91 ROC-AUC, while SVM and the Voting Classifier ranked in the middle and KNN ranked the lowest. These findings confirm that ensemble learning, particularly the Combined Classifier, effectively improves the accuracy and stability of review classification compared to individual methods.
Sentiment Classification of TikTok Reviews on Almaz Fried Chicken Using IndoBERT and Random Oversampling Zaki, Imam Syahputra; Kurnia, Rizka Dhini; Meiriza, Allsela
Journal of Information System and Informatics Vol 7 No 4 (2025): December
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v7i4.1310

Abstract

The socio-political context surrounding the Indonesian Ulema Council's Fatwa No. 83 of 2023, which catalyzed a significant consumer shift, necessitates an accurate measure of public sentiment toward alternative local brands like Almaz Fried Chicken. Analyzing real-time consumer discourse on the challenging TikTok platform, the study utilized a final dataset of 4,374 unique comments to overcome the inherent problem of dataset imbalance and linguistic informality. The core method involved a seven-stage quantitative approach: data collection, preprocessing, sentiment labeling, data splitting (70:15:15), Random Oversampling (ROS), IndoBERT fine-tuning, and evaluation. This pipeline fine-tuned IndoBERT, a Transformer-based model, integrated with ROS applied exclusively to the training data. Evaluation demonstrated that ROS significantly reduced model bias and enhanced performance: Overall Accuracy increased by 2.0% (from 91% to 93%), and the Macro F1-Score improved by 3.4% (from 0.87 to 0.90). Most critically, the F1-Score for the minority Negative sentiment class surged from 0.78 to 0.84, confirming ROS's effectiveness in accurately detecting critical feedback. These findings provide timely, data-driven insights into brand perception amidst the boycott campaign and establish a robust, reliable IndoBERT-ROS methodology for advanced sentiment monitoring in dynamic social media environments.
Analisis Klasterisasi Kualitas Internet Seluler Menggunakan Metode K-Means dan Gaussian Mixture Model Irwansyah, Muhammad Aziiz; Meiriza, Allsela; Lestarini, Dinda
Building of Informatics, Technology and Science (BITS) Vol 7 No 3 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i3.8615

Abstract

This study utilizes internet network data from Ookla Open Data (Speedtest Global Performance), comprising three main variables: download speed, upload speed, and latency. The aim is to analyze the condition and performance of mobile internet networks across 17 regencies/cities in South Sumatera Province in 2025 and to provide data-driven recommendations for the Department of Communication and Informatics to promote equitable and improved digital infrastructure through a Knowledge Discovery in Databases (KDD) approach. The applied methods include RobustScaler for data normalization, Principal Component Analysis (PCA) for dimensionality reduction, and K-Means and Gaussian Mixture Model (GMM) algorithms for clustering regions based on network characteristics. The analysis shows that both algorithms form three clusters (K=3) with distinct patterns. GMM demonstrates higher stability than K-Means, achieving a Silhouette score of 0.426 and Davies–Bouldin Index of 0.284, compared to K-Means with 0.351 and 0.688, while the lower Calinski–Harabasz score of GMM (9.960) indicates a trade-off between cluster compactness and stability, highlighting its adaptive behavior to data variation. Urban areas such as Palembang and Prabumulih belong to the high-performance cluster, whereas Ogan Komering Ulu Selatan lies in the low-performance cluster (18.87 Mbps; 33 ms), revealing a digital gap of approximately 18 Mbps across regions. These findings emphasize the need for equitable digital infrastructure strategies through fiber-optic expansion, BTS capacity enhancement, and multi-stakeholder collaboration toward Indonesia’s Digital Vision 2045.
ANALYSIS OF USER EXPERIENCE OF DANA E-WALLET USING USER EXPERIENCE QUOSTIONNAIRE (UEQ) AND UX HONEYCOMB Nyimas Silvia; Allsela Meiriza; Nabila Rizky Oktadini; Pacu Putra
JUTI: Jurnal Ilmiah Teknologi Informasi Vol. 22, No. 2, July 2024
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24068535.v22i2.a1207

Abstract

In the era Society 5.0, economic growth and digital products have mushroomed, leading to digital transaction product innovation becoming a daily necessity for society. Easy, cashless payment are made through an E-wallet application with various options, including the DANA application. However, in several reviews, user have complained about the performance and issues with the DANA application such as, the display is unclear when logging into the application, and it loads slowly when entering the amount of money. This research was conducted to evaluate DANA application users and provide recommendation for improvements and enhancements to enhance the DANA application user experience. From the result of the value proposition on the implementation of the UX Honeycomb method in the DANA application between the people of Palembang City, users generally agree that DANA deserves a good above-average rating. Meanwhile, the User Experience Questionnaire (UEQ) method show that the DANA application received positive scores on the attractive, perspicuity, dependability, efficiency, and stimulation variables, but it obtained a negative score on the novelty variable. Thus, the DANA application need to design and create more creative, intentional, and innovative products.
PELATIHAN PENGEMBANGAN MEDIA PEMBELAJARAN BERBASIS ICT GURU SMP/MTs YANG TERGABUNG MUSYAWARAH GURU MATA PELAJARAN (MGMP) KOTA PANGKALPINANG Ibrahim, Ali; Meiriza, Allsela; -, Fathoni; Utama, Yadi; Sanjaya, M. Rudi; Rezqe, Beriadi Agung Nur; Alzaini, Akbar
Jurnal Pengabdian Masyarakat Bumi Rafflesia Vol. 3 No. 1 (2020): Jurnal Pengabdian Masyarakat Bumi Raflesia
Publisher : Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Guru mata pelajaran dituntut untuk memiliki kemampuan professional yang sesuai dengan Standar Nasional Pendidikan, yaitu setiap guru harus memiliki kompetensi pedagogic, kepribadian, professional dan social. Pengembangan keempat kompetensi tersebut perlu terus dikembangkan, baik melalui pendidikan, pelatihan, maupun kerja kelompok atau organisasi profesi guru. Rendahnya hasil belajar siswa salah satunya disebabkan karena guru belum menggunakan media animasi dalam proses pembelajaran. Proses pembelajaran masih berlangsung secara konvensional, dimana aktivitas menulis lebih dominan dilakukan oleh guru dalam mengajar. Dengan pelatihan program Quipper School dapat meningkatkan keterampilan para guru dalam membuat media ajar berbasis multimedia. program Quipper School adalah platform sekolah digital tanpa biaya. Melalui platform ini, guru dapat mengirim dan mengelola materi pembelajaran, ujian, serta nilai siswa. Metode yang digunakan dalam pelatihan adalah dengan cara peragaran dan demontrasi program Quipper School. Dari hasil kuisiner setelah pelatihan 90 % peserta berhasil dalam membuat media ajar.
Co-Authors Adhiyasa, Chandra Julian Adriansyah, Rizki Ahmad Rifai Ahmad Rifai Akbar Alzaini Al Fachrozi, Muhammad Al-Farisy, M Hadi Alfarizi, M. Alfitrah, Intan Aidita Ali Ibrahim Alinda, Yelli Nur Alvico, Alvico Alvines, Mahendi Alzaini, Akbar Amanda, Bella Rizkia Anadia, Qothrunnada Wafi Ananda Khoirunnisa Andini Bahri, Cheisya Andriani, Sari Ani Nidia Listianti, Ani Nidia Anindya Putri, Salsa Anna Dwi Marjusalinah Annisa Tri Ning Tyas Apriansyah Putra Archi Daffa Danendra, Muhammad Ari Wedhasmara Ariyani, Ishlah Putri Ariyanti, Putri Arnan, Sefian Arvhi Randita Setia Athallah Ubaid, Deni Ayu, Nabila Riska Ayuningtiyas, Pratiwi Bayu Wijaya Putra Billan, Angel Caroline Chandra Julian Adhiyasa Cynthia Sherina Fadeli Danendra, Devano Dedy Kurniawan Deni Lidianti Desty Rodiah Devano Danendra Dinda Lestarini Dinna Yunika Hardiyanti Dwi Rosa Indah Endang Lestari Ruskan Endang Lestari Ruskan Epriyanti, Nadia Ermatita - Faizah, Ovie Nur Fathoni - Fatimah Salsabila Fatimah, Aisyah Firda, Hiliah Gultom, Gina Destia Gusti Barata Hardini Novianti Hardini Novianti Hardini Novianti Hardini Novianty Ichsan Farel Rachmad, Muhammad Idpal, Idpal Inayah, Anna Fadilla Irmawati Irmawati Irwansyah, Muhammad Aziiz Izzan Fieldi, Muhammad Jaidan Jauhari Jambak, Muhammad Ihsan Jefven Fernando Jonathan Pakpahan Karima, Dzakiah Aulia Karimsyah Lubis, Muhammad Karisa Anjani Fakhri Ken Dhita Tania, Ken Dhita Ken Ditha Tania Khairani, Annisa Khoiriyah Harahap, Dayana Larasati, Salsabila Lifiano Jamot Munthe, Gabriel Luh Sri Mulia Eni M Rifki Ali M, Nys Marliza Tiara Maharani, Wardah Shifa Maretta, Aulia Maretta, Aulia Pinkan Mariska, Inneke Via Meiriza, Viola Meitiana Audya Muhamad Edric Rasyid Muhammad Aidil Fitri Syah Muhammad Ali Buchari Muhammad Azmi Zaky Muhammad Ihsan Muhammad Ihsan Muhammad Imam Riadillah Mulyadi Mulyadi Munaspin, Zahra Diva Putri Nabila Oktadini Nabila Riska Ayu Nabila Rizki Oktadini Nachwa, Syakillah Nadia Ayu Safitri Naretha Kawadha Pasemah Gumay Nashiroh Ramadhani, Muthia Novitia Chinoi Nurul Izmy Nur’Aini, Risma Nyimas Silvia Oktadini, Nabila Oktadini, Nabila Rizky Onkky Alexander Pacu Putra Pacu Putra Padlefi, Muhamad Riza Pakpahan, Jonathan Paulus Paskah Lino Susilo Perdani, Tharisa Antya Putri Ariyanti Putri Eka Sevtiyuni Putri Eka Sevtiyuni Putri Eka Sevtyuni Putri Mutiara Arinie Putri, Adetya Rielisa Putri, Nyayu Dwi Tarisa Rafika Octaria Ningsih Rafli Maulana, Muhammad Rahmat Izwan Heroza Ramadhan Putra Pratama, Muhammad Ramadhan, Kumara Aditya Ramadhan, Muhammad Gilang Rangga Aderiyana, Fakih Rani Mardiah Ravi Wijayanto, Muhammad Rezeki, Yunika Tri Rezqe, Beriadi Agung Nur Ricy Firnando Rido Zulfahmi Rika Septiana Riska Yunita Rizka Dhini Kurnia Rizka Rahmadhani Rizki Kurniati Rizky Herdiansyah, Muhammad Rizky Sawitri Rizkyllah, Anabel Fiorenza Rositiani, Ely Royan Dwi Saputra RR. Ella Evrita Hestiandari Salsabila, Fatimah Sanjaya, M. Rudi Saputri, Sonia Dwi Sari Andriani Sarifah Putri Raflesia Sasmita, Ruth Mei Sawitri, Rizky Septhia Charenda Putri Sevtiyuni, Putri Eka Simanullang, Eka Darmayanti Susanti, Helen Susilo, Paulus Paskah Lino Syahbani, Muhammad Husni Syarief Albani, Muhammad Tharisa Antya Perdani Theresia Pardede, Eva Titiana, Nuke Merisca Tri Zafira, Zahra Tsabitah, Laila Via Mariska, Inneke Wahyudi, Muhammad Iqbal Wulan Dari, Atikah Yadi Utama Yasir Alghifari, Muhammad Yasyfi Imran, Athallah Yunika Hardiyanti, Dinna Yunita Yunita Zaki, Imam Syahputra