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All Journal Jurnal Buana Informatika JSI: Jurnal Sistem Informasi (E-Journal) Jurnal Edukasi dan Penelitian Informatika (JEPIN) Annual Research Seminar CESS (Journal of Computer Engineering, System and Science) Jurnal Ilmiah KOMPUTASI Sistemasi: Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JTT (Jurnal Teknologi Terpadu) Jurnal Manajemen STIE Muhammadiyah Palopo MBR (Management and Business Review) JOURNAL OF APPLIED INFORMATICS AND COMPUTING Digital Zone: Jurnal Teknologi Informasi dan Komunikasi The IJICS (International Journal of Informatics and Computer Science) JURIKOM (Jurnal Riset Komputer) JURTEKSI JOISIE (Journal Of Information Systems And Informatics Engineering) INFOMATEK: Jurnal Informatika, Manajemen dan Teknologi Building of Informatics, Technology and Science Journal of Information Systems and Informatics Zonasi: Jurnal Sistem Informasi JATI (Jurnal Mahasiswa Teknik Informatika) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Darma Agung Jurnal Bisnis, Manajemen, dan Ekonomi Jurnal Generic Jurnal Pendidikan dan Teknologi Indonesia Jurnal Algoritma Jurnal Teknologi dan Manajemen Industri Terapan Jurnal Indonesia Sosial Teknologi Electronic Journal of Education, Social Economics and Technology The Indonesian Journal of Computer Science Management Analysis Journal Scientific Journal of Informatics Journal of Mathematics, Computation and Statistics (JMATHCOS) Buffer Informatika Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Ken Ditha Tania
Jurusan Sistem Informasi, Universitas Sriwijaya
Religion Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management 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 Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Public Health Social Sciences Veterinary Other

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Knowledge Discovery Melalui Pemodelan Topik pada Ulasan Pengguna Aplikasi GoPartner Menggunakan BERTopic, LDA, dan NMF Pratiwi, Metti Detricia; Tania, Ken Ditha
Journal of Applied Informatics and Computing Vol. 9 No. 1 (2025): February 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i1.8782

Abstract

Transportation and food delivery services are one of the driving sectors of the digital economy in Indonesia. The e-Conomy SEA 2023 report shows that the transportation and food delivery services sector experienced a decrease in GMV in 2023 by 8% from the previous year. The decline in GMV indicates a decrease in transaction value in the transportation and food delivery service sector. GoPartner is an application developed by GoTo to assist driver partners in carrying out various services in the gojek application which is one of the applications engaged in the transportation sector and food delivery services. Drivers as people who provide services directly to consumers are certainly one of the factors that influence customer behavior in using services. To find out the problems faced by drivers, this research conducts knowledge discovery through topic modeling on GoPartner application reviews using BERTopic, LDA, and NMF, each of these methods has a different approach. Based on the research results and the quality of the topics generated, BERTopic and LDA have better quality in analyzing GoPartner user reviews.
Knowledge Extraction Using Aspect-Based Sentiment Analysis and Classification Method Inayah, Anna Fadilla; Tania, Ken Ditha; Wedhasmara, Ari; Meiriza, Allsela
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 10, No 3 (2024): Volume 10 No 3
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v10i3.83389

Abstract

In this modern era, the use of technology in various fields of life is growing, especially in the financial sector such as digital payments. Digital payments are transactions made via the internet with various forms or electronic payment applications. This research utilizes one of the e-wallet applications, namely the DANA Application. As one of the digital payment applications, DANA's service quality is an important factor in competing with various e-wallet applications or other competitive digital payment applications, sentiment analysis of massive amounts of incoming review data is needed to understand user perceptions and satisfaction levels in order to help companies in decision making. This research analyzes 69632 user review data from May 1 to June 28, 2024, then classifies reviews into positive, negative, and neutral reviews based on aspects to find out the dominant aspects in the review data, as for the aspects determined in this study are mobile applications, interfaces, service performance, and security. This research compares various classification method algorithms to determine the performance of the model, the comparison results show that the Random Forest algorithm has the best performance of other algorithms studied based on evaluation metrics with accuracy 0.82, precision 0.82, recall 0.82, f1_score 0.82, AUC-ROC 0.92, and Cross Validation Mean Accuracy 0.822. This research is expected to produce useful and computerized knowledge extraction and provide perceptual understanding, user satisfaction, and insight into the most effective algorithms which can then help companies in making decisions in the future.
Comparison of K-Means and K-Medoids Algorithms for Clustering Poverty Data in South Sumatra Using DBI Evaluation Akhda, M. Dandi; Tania, Ken Ditha
Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Vol. 15 No. 2 (2024): Digital Zone: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Publisher: Fakultas Ilmu Komputer, Institution: Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/digitalzone.v15i2.23624

Abstract

This research focuses on the implementation and comparison of the K-Means and K-Medoids algorithms that function as poverty data clustering in South Sumatra Province, the poverty data is taken from the Central Statistics Agency of Indonesia (BPS Indonesia). This research also aims to analyze the poverty level in South Sumatra Province by including additional variables such as average years of schooling and per capita expenditure in the community in each regency or city in South Sumatra Province. Data clustering is done by both algorithms and then the performance value is Evaluated using Davies Bouldin Index DBI shows that K-Means gives better results, with a lower DBI value (0.204 at K=5) while K-Medoids has a DBI value of 0.239 at K=5, which indicates more compact and separated clusters. The superiority of K-Means is due to the homogeneous and minimal outlier characteristics of the dataset, which makes the centroid approach more optimal than medoids in K-Medoids. With these results, K-Means was chosen as the best algorithm for clustering poverty data in the region. The use of the K-Means algorithm produces a pattern in clusters related to education, economic inequality, and poverty distribution in various regions in South Sumatra. This implementation provides insight into how data clustering techniques can be applied to socio-economic data to provide policy makers in a region with information about the region, especially information about poverty-stricken areas.
Pengaruh Knowledge Sharing Factor Terhadap Keberlanjutan Penggunaan E-Learning Pasca Covid-19: The Influence of Knowledge Sharing Factors on the Continuity of Using E-Learning Post-Covid-19 Ariyanti, Putri; Ditha Tania, Ken; Wedhasmara, Ari; Meiriza, Allsela
The Indonesian Journal of Computer Science Vol. 12 No. 5 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i5.3382

Abstract

E-learning includes learning methods that use information technology and can be accessed via the internet, making it possible to learn remotely without face-to-face meetings. E-learning functions to implement knowledge management practices, especially in sharing knowledge. Studies on various knowledge-sharing factors influencing the adoption of e-learning in the post-pandemic context are still limited in the existing literature. Therefore, this study has the objective of developing an Expectation Confirmation Model by taking into account the factors of knowledge sharing (communication openness, personal trust, sharing motivation, use of technology, and perceptions of ease of use of technology) to test the viability of using e-learning, especially at Srivijaya University. This study uses the Partial Least Squares Structural Equation Modeling (PLS-SEM) method to test the validity of the developed model. Study data was collected from active students at Sriwijaya University who used or are currently using e-learning in lectures. The results of this study show that knowledge sharing factors, including openness of communication, personal trust, motivation to share, usefulness of technology, and perceived ease of use of technology, are important factors in determining the continued use of e-learning services at Sriwijaya University.
Sentiment Analysis Performance Value Optimization Using Hyperparamater Tunning With Grid Search On Shopee App Reviews Muhammad Luthfi Al-Ghifari; Ken Ditha Tania
The Indonesian Journal of Computer Science Vol. 12 No. 5 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i5.3384

Abstract

The rapid development of technology today has provided convenience for us in today's civilization. One of these developments is the invention of the internet due to high internet penetration and rapid growth in mobile usage, online shopping has increased tremendously. This online shopping is now often referred to as e-commerce. E-commerce is one of the trade models that has been widened under the effect of extensive use of technology. Specifically, e-commerce refers to the usage of the Internet or other networks. Shopee is one of the popular marketplaces in Indonesia that has the highest number of visitors of 129 million per month and can be downloaded on the Google Play Store. Play Store itself has several features such as Reviews that can allow users to give opinions. All complaints and opinions from shopee users can be channeled into this feature. With this a research aims to optimize the performance value of sentiment analysis with the Term Frequency-Inverse Document Frequency (TF-IDF) method and Hyperparameter Tuning with Gridsearch for the Shopee application on the Google Play Store. Based on research the reviews resulting in 3000 data where 2015 user data is positive and 985 data is negative. Testing data was split by a ratio of 90:10 for 300 data test in each classification model to find the accuracy score. With hyperparameter tuning using gridsearch we can see the result of each accuracy score of KNN, DCT, RF, and LR is increasing from 0.73 to 0.77, 0.823 to 0.826, 0.856 to 0.87, and 0.856 to 0.866. This indicated that among the machine learning model that had been tuning using gridsearch, KNN is the one that highly increased.
Pengaruh Knowledge Management Factor Terhadap Keberlanjutan Penggunaan E-learning Elna Sari, Cici; Tania, Ken Ditha; Wedhasmara, Ari; Apriansyah Putra
The Indonesian Journal of Computer Science Vol. 12 No. 5 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i5.3406

Abstract

E-learning adalah pemanfaatan teknologi informasi sistem pembelajaran. Fungsi e-learning menerapkan praktik manajemen pengetahuan (KM). Beberapa penelitian telah menyelidiki faktor-faktor tertentu yang mempengaruhi penerimaan pembelajaran melalui pembelajaran daring. Namun, kajian tentang faktor manajemen pengetahuan yang mempengaruhi keberlangsungan adopsi e-learning pada masa transisi pascapandemi relatif baru dan belum dilaporkan dalam literatur yang ada. Oleh karena itu, tujuan utama dari penelitian ini adalah mengembangkan Expectation Confirmation Model (ECM) dengan faktor KM (acquisition, sharing, implement and protection) untuk menguji keberlanjutan penggunaan e-learning khususnya di Universitas Sriwijaya. . Penelitian ini menggunakan Partial Least Squares Structural Equation Modeling (PLS-SEM) untuk memvalidasi model yang dikembangkan. Data dikumpulkan dari 267 mahasiswa aktif Universitas Sriwijaya yang menggunakan atau sedang menggunakan e-learning dalam perkuliahan. Hasil penelitian ini menunjukkan bahwa faktor manajemen pengetahuan, dalam hal ini knowledge acquisition (KA), knowledge sharing (KS), knowledge application (KAP), dan knowledge protection (KP), merupakan faktor penting dalam menentukan keberlangsungan penggunaan layanan. e-learning di Universitas Sriwijaya.
Evaluasi Kualitas Pendidikan Dasar di Sumatera Selatan Menggunakan Business Intelligence Model Triputra, Muhamad Meiko; Rifai, Ahmad; Tania, Ken Ditha
Jurnal Pendidikan dan Teknologi Indonesia Vol 5 No 3 (2025): JPTI - Maret 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.618

Abstract

Statistik Pendidikan 2023 yang dipublikasikan oleh Badan Pusat Statistik (BPS) menyatakan bahwa sarana, prasarana, dan hasil capaian proses pendidikan menjadi faktor-faktor yang memegang peranan penting dalam mendukung terwujudnya keberhasilan siswa saat belajar di sekolah. Tujuan dari penelitian ini yaitu membangun sebuah alat pendukung keputusan berdasarkan data pendidikan dasar di provinsi Sumatera Selatan dengan mengimplementasikan model business intelligence. Data pendidikan dasar yang dikumpulkan akan dintegrasikan dan disimpan ke dalam data warehouse. Selanjutnya dilakukan analisis data mining untuk mengelompokkan kabupaten atau kota menggunakan algoritma k-means clustering. Terdapat tiga pola clustering yang dianalisis dan dievaluasi menggunakan matriks evaluasi Davies-Bouldin Index (DBI), yakni pengelompokkan berdasarkan keseimbangan infrastruktur dan sumber daya pendidikan dengan nilai evaluasi 0.519, pengelompokkan berdasarkan angka siswa mengulang dengan nilai evaluasi 0.41, dan pengelompokkan berdasarkan angka siswa putus sekolah dengan nilai evaluasi 0.596. Data yang tersimpan di data warehouse dan hasil analisis clustering akan divisualisasikan dalam bentuk dashboard interaktif yang dirancang untuk meningkatkan pemahamanan terkait kondisi pendidikan dasar secara menyeluruh. Dashboard yang dihasilkan berkontribusi secara signifikan dalam mengidentifikasi kabupaten atau kota yang membutuhkan perhatian khusus sehingga memudahkan pemangku kebijakan untuk mengambil keputusan berbasis data dalam mengevaluasi maupun meningkatkan kualitas pendidikan dasar.
Perbandingan User Experience Aplikasi Tiket.com dan Pegipegi Menggunakan Metode User Experience Questionnaire Rizki Ade Ningsih; Ken Ditha Tania
Jurnal Teknik Informatika dan Sistem Informasi Vol 9 No 2 (2023): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v9i2.6079

Abstract

Advances in information technology make many human activities easier and faster. One form of information technology advancement that exists is the existence of a mobile application that can help users and management companies carry out various business processes online. Over time, people began to use applications to meet their daily needs, including the need to travel, such as booking travel tickets and hotels. One of the existing travel and hotel applications is Tiket.com and Pegipegi. Both of these applications offer the same services, making the competition even tougher. This research was conducted to compare user experiences from Tiket.com and PegiPegi using the User Experience Questionnaire (UEQ) method by measuring the attractiveness, perspicuity, efficiency, dependability, stimulation, and novelty scales. The results showed that all UX scales from Tiket.com received positive evaluations. Whereas in Pegipegi, the attractiveness, perspicuity, efficiency, dependability, and stimulation scales received positive evaluations, but the novelty scale received neutral evaluations. From the results of the user experience comparison between Tiket.com and Pegipegi, Tiket.com gets a slightly higher user experience value than Pegipegi on all UEQ scales, but there is no significant difference for all scales.
Analysis of the Use and Acceptance of Government Social Media in the South Sumatra Community Using the UTAUT 2 Method (Case Study : Instagram of the South Sumatra Provincial Food Crop and Horticulture Agriculture Office @pertaniantph.sumsel) Falah, Miftahul; Wedhasmara, Ari; Putri, Amelia Rizki; Tania, Ken Ditha; Ibrahim, Ali; Sevtiyuni, Putri Eka
Generic Vol 17 No 1 (2025): Vol 17, No 1 (2025)
Publisher : Fakultas Ilmu Komputer, Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18495/generic.v17i1.248

Abstract

The widespread accessibility of the internet via smartphones, laptops, and tablets, along with the convenience of carrying these devices anywhere, has transformed social media from merely a communication tool into a key source of information. Instagram, in particular, focuses on visual aesthetics. Many government agencies in Indonesia now have Instagram accounts to engage with the public, as social media-especially Instagram-is increasingly viewed as a popular platform for information dissemination across various demographic groups. One such agency is the South Sumatra Provincial Food Crop and Horticulture Agriculture, which operates under the Instagram handle @pertaniantph.sumsel. However, engagement with their Instagram community remains low, as seen from the limited number of likes and comments on their posts. To investigate the factors contributing to this issue, a study was conducted using the Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2) model, gathering data from 516 questionnaire respondents who follow the @pertaniantph.sumsel account. The data was analyzed using SmartPLS, revealing that Behavioral Intention significantly impacts Usage Behavior, Effort Expectancy significantly affects Behavioral Intention, Facilitating Conditions influence Usage Behavior, Habit has a significant impact on Behavioral Intention, Hedonic Motivation affects Behavioral Intention, and Social Influence also plays a key role in shaping Behavioral Intention.
The Influence of Promotion, Service Quality, and Electronic Word of Mouth on Customer Loyalty through Customer Satisfaction on the Instagram Account @rooftopin.nesia Fauzan, Muhammad Fairuz; Wedhasmara, Ari; Tania, Ken Ditha; Putra, Apriansyah
Sistemasi: Jurnal Sistem Informasi Vol 14, No 4 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i4.5196

Abstract

The use of social media has become a key strategy in business development in the era of information technology. Rooftopin Café utilizes social media to build relationships with customers; however, its impact on customer loyalty remains uncertain. This study aims to analyze the influence of promotion, service quality, and electronic word of mouth (e-WOM) on customer loyalty, with customer satisfaction as a mediating variable. Using a quantitative approach, data were collected from 120 respondents—customers who have visited Rooftopin Café in Palembang and follow the Instagram account @rooftopin.nesia. The data were analyzed using SmartPLS. The results show that promotion, service quality, and e-WOM have a positive and significant effect on customer satisfaction. Furthermore, customer satisfaction has a positive and significant influence on customer loyalty. In addition, customer satisfaction is proven to mediate the relationship between service quality and customer loyalty, indicating complementary mediation. This implies that service quality affects customer loyalty not only directly but also indirectly through customer satisfaction.
Co-Authors Abdillah Putra, Muhafsyah Adeliani, Adeliani Adriansyah, Rizki Afdhal Nadzif, Muhammad Ahmad Rifai Ahmad Rifai Akbar Adiprama, Faris Akbar Kurniawan, Iqbal Akbar, Rifko Akhda, M. Dandi Al Fachrozi, Muhammad Al-Farisy, M Hadi Albani, Muhammad Syarief Albukhori, M Rafli Alfarizi Ramadhiyansa, Muhammad Alfarizi, M. Ali Ibrahim Ali Ibrahim (SCOPUS ID: 57203129436) Allsela Meiriza, Allsela Alvines, Mahendi Alzena Aisha Shakira Amanda Ardhani, Dhita Amelia Amelia Amelia Putri, Shinta Amelia, Rita Anadia, Qothrunnada Wafi Ananda Khoirunnisa Andini Bahri, Cheisya Anggun Ramadina Anindya Putri, Salsa Anisa Basulina, Nur Anissa, Cahya Rahmi Apriansyah Putra Apriansyah Putra Aqil Zidane, Muhammad Aqilah Syahputra, M Fathan Archi Daffa Danendra, Muhammad Ardhillah, Onky Ari Wedhasmara Ariyani, Ishlah Putri Ariyanti, Putri Arvhi Randita Setia Ary Pratama, Muhammad Mayda Athallah Ubaid, Deni Attika Putri, Shopi Audia Faradhisa Ansori Aulia, Cantika Ayuningtiyas, Pratiwi Azmi Zaky, Muhammad Azra, Muhammad Azyumardi Bahri, Cheisya Andini Baidhawi, Alif Bimmo Fathin Tammam Cahya Aulia, Syifa Cahya Rahmi Anissa Cici Elna Sari Citra, Belia Clark Peter Wijaya, Adley Constancio, Elven Dedy Kurniawan Dian Febriansyah Dwiansyah, Octa Dzaky Agusman, Muhammad Eka Saputra Eka Sevtiyuni, Putri Elna Sari, Cici Endang Lestari Ruskan Epriyanti, Nadia Fachrozi, Muhammad Al Fahmi Aulia Hakim, Adzka Fajaria, Mutiara Fathoni - Fatihaturrahmah, Aisyah Fatimah, Aisyah Fauzan, Muhammad Fairuz Fikri, M Fauzan Gustiani, Sindy Haidar Afif Mufid, Muhammad Hanggara, Bryan Hendrawan, Deni Agus Hermanto, Muhammad Lucky Hikmahwarani, Fellycia Ichsan Farel Rachmad, Muhammad Ikhwan Najatafani, Bintang Inayah, Anna Fadilla Indira Nailah Ramadhani Ispahan, Tarisha Izzan Fieldi, Muhammad Jodi Pratama, Muhammad Jonathan Pakpahan Karima, Dzakiah Aulia Karimsyah Lubis, Muhammad Khoiriyah Harahap, Dayana Kurnia Sari, Winda Lailatur Rahmi Lakeisyah, Eka Therina Lifiano Jamot Munthe, Gabriel Lubis, Muhammad Ali M Ihsan Jambak M Luthfi Khailani, Kgs Mahdiyah Afifah Sari Mahdiyah Afifah Sari Maretta, Aulia Pinkan Mariska, Inneke Via Marshella, Siti Hariza Mas Ud, Khalid Al Maulana, Rahmat Maulizidan, Muammar Ramadhani Meiriza, Allsella Miftahul Falah Mira Afrina Miranda, Fatreisya Ayu Mufidah, Luthfiah Muhammad Adisatya Dwipansy Muhammad Dzaky Alifayoezra Muhammad Idris Muhammad Luthfi Al-Ghifari Muhammad Luthfi Al-Ghifari Munaspin, Zahra Diva Putri Nabilatulrahmah, Raihana Nachwa, Syakillah Nadrota Acta, Muhammad Fakhri Najibah Putri, Aulia Najwa Widasari, Yesya Naretha Kawadha Pasemah Gumay Nashiroh Ramadhani, Muthia Naufaldihanif, Rihan Novrizal Eka Saputra Nugraha, Allan Nuraini Kusuma, Aisha Onkky Alexander Pacu Putra Prasetia, Dika Pratiwi, Metti Detricia Purba, Kevin Agustin Putri Ariyanti Putri Casanova, Musdalifa Putri Mutiara Arinie Putri Silpiara Putri, Amelia Rizki Putri, Aulia Najibah Putri, Naila Raihana Putri, Salsa Anindya Raditya Dafa Rizki Rafika Octaria Ningsih Rafli Maulana, Muhammad Rahmah, Atika Nur Rahman, M. Fadhil Rahmat Izwan Heroza Ramadhan Putra Pratama, Muhammad Ramadhani, Indira Nailah Rangga Aderiyana, Fakih Ravi Wijayanto, Muhammad Riansyah, M. Bintang Naufal Riansyah, Muhammad Bintang Naufal Risyahputri, Aliyananda Rizka Dhini Kurnia Rizka Mumtaz, Fadia Rizki Ade Ningsih Rizky Herdiansyah, Muhammad Rizkyllah, Anabel Fiorenza Robani, M Tsabita Rositiani, Ely Sabar Manahan, Nico Sabila, Amalia Sahira, Mutia Salsabila, Adella Salsabila, Shofi Sanjaya, Riska Amelia Saputra, Marco Sasmita, Ruth Mei Sembiring Depari, Alrayssa Davinka Septhia Charenda Putri Sevtiyuni, Putri Eka Shelly Putri Siade, Shalya Yunia Siregar, Richi Nauli Juniarto Suci Amalia Suci Fitriani, Suci Sukamto, Ika Sumiyarsi Syarief Albani, Muhammad Theresia Pardede, Eva Theressa Hasioani Sianturi, Claudia Tika Octri Dieni Titiana, Nuke Merisca Tri Zafira, Zahra Triana, Ayu Triputra, Muhamad Meiko Tsabitah, Laila Wahyuni Cahnia Sari Wilantara, M Pandu Winda Kurnia Sari Wirnanti, Rintan Wulan Dari, Atikah Yasir Alghifari, Muhammad Yasyfi Imran, Athallah Zahran Afif, Muhammad Zidan, Umar Rahman