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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) SOSIOEDUKASI : JURNAL ILMIAH ILMU PENDIDIKAN DAN SOSIAL Teknomatika (Jurnal Teknologi dan Informatika) REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat KLIK: Kajian Ilmiah Informatika dan Komputer Decode: Jurnal Pendidikan Teknologi Informasi JUSTIN (Jurnal Sistem dan Teknologi Informasi) Konstelasi: Konvergensi Teknologi dan Sistem Informasi Jurnal Algoritma SmartComp Jurnal Informatika: Jurnal Pengembangan IT 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 Faktor yang Mempengaruhi Minat Baca pada Aplikasi Komik Digital dengan Metode UTAUT (Studi Kasus: Webtoon) Annisa Tri Ning Tyas; Nabila Rizky Oktadini; Allsela Meiriza; Wedhasmara, Ari
KONSTELASI: Konvergensi Teknologi dan Sistem Informasi Vol. 4 No. 2 (2024): Desember 2024
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/konstelasi.v4i2.10113

Abstract

Tahun 2024 merupakan era digital dimana perkembangan teknologi yang terjadi di dunia semakin pesat, termasuk di Indonesia dimana masyarakat semakin memanfaatkan teknologi dalam berbagai aktivitas termasuk membaca. Salah satu industri baca yang mengalami perubahan digital tersebut adalah komik, yang melahirkan istilah baru seperti "komik digital”. Salah satu aplikasi yang menawarkan berbagai jenis komik digital adalah LINE Webtoon, layanan komik digital asal Korea Selatan dan diluncurkan oleh LINE Corporation. Penelitian ini menggunakan metode UTAUT dalam menganalisis apakah minat baca aplikasi komik digital Webtoon di kalangan remaja Indonesia berusia 18-30 tahun dipengaruhi oleh performance expectancy, effort expectancy, social influence dan facilitating condition. Hasil analisis menggunakan tools SmartPLS, menyatakan bahwa performance expectancy, effort expectancy, dan social influence berpengaruh terhadap minat baca. Sedangkan facilitating conditions tidak menunjukkan pengaruh signifikan.
User Experience Evaluation of YouTube Website Using Eye Tracking Method Larasati, Salsabila; Putra, Pacu; Oktadini, Nabila Rizky; Meiriza, Allsela; Sevtiyuni, Putri Eka
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.v9i1.8743

Abstract

YouTube is one of the most popular social media in Indonesia, with one of its features being the Clip Feature, which allows users to share 5-60 seconds video snippets, but many users still experience difficulty in accessing this feature. Based on a survey of more than 130 respondents, 60% were unaware of the Clip Feature, 85% had never used it, and 75% had difficulty finding its location in the YouTube interface. This research aims to evaluate the user experience in accessing the Clip Feature on the YouTube website using the Eye Tracking method, as well as analyzing user attention patterns. Through the RealEye.io tool, the results show that the quality of the test data is very good, with an average E-T data integrity value of 90.33% and gaze on screen of 89.73%. Heatmaps and gaze plot analysis show that respondents' attention patterns tend to show confusion, especially when looking for the Clip feature. This is supported by the results of the attention & emotion graphs analysis, which overall show that the average attention level of respondents is at 0.318, with an increase in the emotion of surprise experienced by respondents more than the emotion of happy. Although the Clip Feature offers significant benefits, users still experience difficulties in accessing it, which results in a decreased user experience. This research is expected to provide new recommendations in improving the user experience of YouTube website, specifically to make the Clip feature more accessible and effective to use.
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.
Evaluation of the Maturity Level of the RS SIM System using the Cobit 5 Framework in the Evaluation Direct and Monitoring Domain Rezeki, Yunika Tri; Oktadini, Nabila Rizky; Putra, Pacu; Sevtiyuni, Putri Eka; Meiriza, Allsela
Sistemasi: Jurnal Sistem Informasi Vol 14, No 1 (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.v14i1.4889

Abstract

The purpose of using the COBIT 5 framework in the Evaluate, Direct, and Monitor (EDM) domain in this study is to assess the maturity level of the Hospital Information Management System (HIMS) at the Primaya Hospital Laboratory. The evaluation process focuses on three main aspects: EDM01 (Governance Framework Setting and Maintenance), EDM02 (Ensuring Risk Optimization), and EDM05 (Ensuring Transparency). Data were collected by involving the hospital’s IT team through questionnaires and interviews. Based on the analysis, the current maturity level of the HIMS ranges from level 2 to level 4, with a target of achieving level 4 (Predictable Process). A GAP analysis was conducted to compare the current system condition (as-is) with the desired condition (to-be). This study provides improvement recommendations, including the optimization of system governance and the enhancement of IT performance transparency. These recommendations are expected to support increased efficiency, effectiveness, and the strategic value of the Hospital Information Management System (HIMS) at Primaya Hospital.
Increasing Farmer Groups Capacity in Cempaka District through the Utilization of Mobile-Based Knowledge Management and Strengthening Digital Literacy Putra, Pacu; Oktadini, Nabila Rizky; Irmawati, Irmawati; Meiriza, Allsela; Sevtiyuni, Putri Eka
REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Vol 6, No 1 (2025): Reka Elkomika
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/rekaelkomika.v6i1.76-87

Abstract

Kelompok Tani (Poktan) Hidup Baru is located in Cempaka District, East Ogan Komering Ulu (OKU) Regency, 123 km away from Sriwijaya University. Poktan Hidup Baru was established in 2020 by farmers in Cempaka District and is led by Ali Fauzan. With 29 members, most of them are rice and fruit farmers. The limited technology and literacy of the farmers means that they are not able to innovate. Therefore, the main problem in the Community Partnership Empowerment Programme is the lack of digital literacy and agricultural knowledge management skills. Therefore, this PKM programme aims to introduce knowledge management and improve farmers' skills in using the internet and mobile-based agricultural applications. In addition, this PKM programme also aims to support the transformation of higher education through the production of scientific publications and audio-visual works.Service activities are carried out in five stages: first, preparation; second, production of materials; third, advice; fourth, support; and fifth, monitoring.  The team provides advice and training on the culture of knowledge sharing and the use of agricultural applications such as Plantix. This application can help solve agricultural problems in identifying pests and plant diseases, irrigation and marketing agricultural products. The positive response from the Hidup Baru farmer group indicates the need for similar training in the future to improve farmers' knowledge and skills.
Comparison of Rating-based and Inset Lexicon-based Labeling in Sentiment Analysis using SVM (Case Study: GoBiz Application Reviews on Google Play Store) Firda, Hiliah; Putra, Pacu; Oktadini, Nabila Rizky; Sevtiyuni, Putri Eka; Meiriza, Allsela
Sistemasi: Jurnal Sistem Informasi Vol 14, No 2 (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.v14i2.4795

Abstract

Digital transformation has impacted various sectors, including Micro, Small, and Medium Enterprises (MSMEs). GoBiz, a partner platform for Gojek's GoFood service, plays a crucial role in supporting MSME digitalization, making it essential to understand user perceptions of the application. This study conducts sentiment analysis on 5,000 GoBiz user reviews from the Google Play Store. It compares two labeling methods—Rating-Based and Inset Lexicon—and evaluates them using the Support Vector Machine (SVM) algorithm. The analysis process includes data selection, text preprocessing, data transformation using TF-IDF, SVM implementation with 10-fold cross-validation, and result visualization through word clouds. The findings indicate that the Rating-Based labeling method achieved an accuracy of 87%, with a precision of 86.7%, recall of 87.1%, and an F1-score of 86.8%. Meanwhile, the Inset Lexicon labeling method outperformed it, achieving an accuracy of 89.7%, precision of 89%, recall of 89.8%, and an F1-score of 89.3%. These results suggest that the combination of the Inset Lexicon labeling method and the SVM algorithm is more effective in classifying user sentiment and providing a more accurate understanding of user perceptions regarding the GoBiz application. Sentiment analysis results indicate that users appreciate GoBiz’s ease of operation but face challenges with driver services and advertisement features, highlighting areas for improvement to enhance user satisfaction.
Penerapan Metode Simple Multi Attribute Rating Technique Pada Pemberian Bonus Tahunan Karyawan Sari Andriani; Allsela Meiriza
Jurnal Teknik Informatika dan Sistem Informasi Vol 7 No 3 (2021): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v7i3.4079

Abstract

Employees are one of the most important aspects of a company. Quality employees will improve the quality of the company. To encourage employees to give their best to the company, companies can give bonuses to their employees. PT Budi Gema Gempita (BGG) is one of the companies that provides annual bonuses to its employees. In determining which employees will receive bonuses, PT Budi Gema Gempita (BGG) still uses paper to make an assessment. a decission support system is needed which can help Budi Gema Gempita (BGG), especially Human Resource Development (HRD) and division heads in the process of giving bonuses. The Simple Multi Attribute Rating Technique (SMART) method will be used because of its simplicity at responding to the needs of decision makers and how it responds. SMART is a multi-criteria decision method and a linear additive model to predict the value of each option. The use of SMART method is expected to provide the best recomendations for leaders to provide bonuses to employees
Prediksi Harga Emas Indonesia Menggunakan Model CNN-LSTM Septiana, Rika; Putri, Adetya Rielisa; Maharani, Wardah Shifa; Gultom, Gina Destia; Simanullang, Eka Darmayanti; Tania, Ken Dhita; Meiriza, Allsela; Rifai, Ahmad
INFOMATEK Vol 27 No 1 (2025): Juni 2025
Publisher : Fakultas Teknik, Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/infomatek.v27i1.24417

Abstract

Harga emas memiliki volatilitas tinggi yang menjadikannya menarik untuk dianalisis secara prediktif. Penelitian ini bertujuan untuk memprediksi harga emas Indonesia dengan kombinasi model Convolutional Neural Network dan Long Short-Term Memory (CNN-LSTM) berdasarkan data historis yang berjumlah 4.434 data dari PT Antam Tbk dari periode 2010 sampai 2025. Model ini dibangun menggunakan lapisan Conv1D (satu dimensi) untuk ekstraksi fitur dan dua lapisan LSTM untuk memahami pola waktu. Pengujian dilakukan dengan tiga variasi jumlah epoch pelatihan, yaitu 50, 100, dan 150, lalu hasilnya dievaluasi menggunakan metrik Root Mean Square Error (RMSE). Model terbaik ditemukan pada epoch 100 dengan nilai RMSE data pelatihan sebesar 5.811,51 dan data uji sebesar 13.236,10. Hasil ini menunjukkan bahwa model CNN-LSTM mampu mengenali pola harga emas lebih baik dibandingkan skenario lain. Dengan demikian, penelitian ini dapat dimanfaatkan untuk membantu para investor dalam mengambil keputusan investasi dan sebagai dasar pengembangan sistem prediksi harga komoditas lainnya.
ANALISIS KOMPARATIF MODEL DATA MINING DALAM PREDIKSI KETEPATAN PENYELESAIAN SERVICE LEVEL AGREEMENT Fatimah, Aisyah; Tania, Ken Ditha; Meiriza, Allsela
JOISIE (Journal Of Information Systems And Informatics Engineering) Vol. 9 No. 1 (2025)
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/joisie.v9i1.4943

Abstract

Kepatuhan terhadap Service Level Agreement (SLA) sangat penting dalam manajemen layanan teknologi informasi untuk menjamin kualitas layanan dan mengatur ekspektasi penyelesaian insiden. Namun, banyak organisasi kesulitan memprediksi apakah tiket insiden akan memenuhi SLA, yang dapat menyebabkan ketidakpuasan pengguna, eskalasi masalah, dan beban kerja tinggi bagi tim IT. Tingginya volume tiket harian membuat identifikasi manual terhadap tiket berisiko tinggi menjadi tidak efektif. Penelitian ini bertujuan mengembangkan model klasifikasi berbasis machine learning untuk memprediksi kepatuhan tiket terhadap SLA. Empat algoritma dievaluasi: XGBoost, Random Forest, Decision Tree, dan Logistic Regression. Tahapan mencakup preprocessing, encoding fitur kategorikal, seleksi fitur berbasis Random Forest, penyeimbangan data menggunakan SMOTE, dan hyperparameter tuning dengan Optuna. Hasil menunjukkan XGBoost memiliki performa terbaik dengan akurasi 99,98%, precision 0,9437, recall 0,9710, dan F1-score 0,9571. Selain akurat dan efisien, model ini unggul secara interpretatif melalui SHAP, yang menjelaskan kontribusi tiap fitur. Kesimpulannya, XGBoost direkomendasikan sebagai model paling andal untuk menjadi alat bantu strategis bagi manajer layanan TI dalam mengidentifikasi insiden yang berisiko tinggi gagal memenuhi SLA.
Pengembangan Game Android Pada Anak Menggunakan Pendekatan User Centered Design Dan Evaluasi Usability Think Aloud Alvico, Alvico; Kurniawan, Dedy; Meiriza, Allsela; Syahbani, Muhammad Husni; Firnando, Ricy
The Indonesian Journal of Computer Science Vol. 14 No. 3 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i3.4396

Abstract

Technology, especially handheld devices, has become an integral part of modern life. The use of handheld devices among children aged 12-15 years reaches 99.61%. Despite the potential to cause dependency, these devices can be utilized positively, for example through learning with educational games. One of them is a titungan game that aims to increase user motivation and skills. However, the development of this game must also consider user needs. This research applies the User Centered Design method to improve the experience and comfort of playing, and the Think Aloud method as an evaluation. This study involved 8 participants consisting of children with an age range of 10-14 years. The results showed that the developed application has met the needs of users, with only two problems identified from 64 total evaluation scenarios with a percentage of 96.87% using the Think Aloud method.
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 Alya Zalfa Chairunnisa Alzaini, Akbar Amanda, Bella Rizkia Anadia, Qothrunnada Wafi Ananda Khoirunnisa Andini Bahri, Cheisya Andini, Meisya Dwi 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 Aurelia, Haaniyah Ayu, Nabila Riska Ayuningtiyas, Pratiwi Bayu Wijaya Putra Billan, Angel Caroline Catra, Rafa Nadira Chandra Julian Adhiyasa Cynthia Sherina Fadeli Danendra, Devano Dedy Kurniawan Deni Lidianti Desty Rodiah Devano Danendra Dinda Lestarini Dinna Yunika Hardiyanti 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 Hakim, Adzka Fahmi Aulia Hardini Novianti Hardini Novianti Hardini Novianti Hardini Novianty Homausyah, Weli Ratri Ichsan Farel Rachmad, Muhammad Idpal, Idpal Inayah, Anna Fadilla Irmawati Irmawati Irwansyah, Muhammad Aziiz Izzan Fieldi, Muhammad Jackson Imanuel Manurung Jaidan Jauhari Jambak, Muhammad Ihsan Jefven Fernando Jonathan Pakpahan Karima, Dzakiah Aulia Karimsyah Lubis, Muhammad Karisa Anjani Fakhri Ken Dhita Tania Ken Dhita Tania, Ken Dhita Ken Ditha Tania Khairani, Annisa Khoiriyah Harahap, Dayana Khoirusy Syafaat Larasati, Salsabila Lifiano Jamot Munthe, Gabriel Luh Sri Mulia Eni M Naufal Hisyam M Rifki Ali M, Nys Marliza Tiara M. Ilham Fahlevi Maharani, Wardah Shifa Maretta, Aulia Maretta, Aulia Pinkan Mariska, Inneke Via Meiriza, Viola Meitiana Audya Mira Afrina Mohd Rizky Putra Pratama Muhamad Edric Rasyid Muhammad Aidil Fitri Syah Muhammad Ali Buchari Muhammad Azmi Zaky 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 Nawirah Athqiyah 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 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 Risma Nur Aini 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 Saputra, Royan Dwi 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 Vanisa Amalia Putri Via Mariska, Inneke Wahyudi, Muhammad Iqbal Wulan Dari, Atikah Yadi Utama Yamani, Zaqqi Yasir Alghifari, Muhammad Yasyfi Imran, Athallah Yelli Nur Alinda Yunika Hardiyanti, Dinna Yunita Yunita Zaki, Imam Syahputra Zaqqi Yamani