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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) RABIT: Jurnal Teknologi dan Sistem Informasi Univrab IJIE (Indonesian Journal of Informatics Education) Jurnal Manajemen STIE Muhammadiyah Palopo MBR (Management and Business Review) JITK (Jurnal Ilmu Pengetahuan dan Komputer) JOURNAL OF APPLIED INFORMATICS AND COMPUTING METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jiko (Jurnal Informatika dan komputer) 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 Zonasi: Jurnal Sistem Informasi JATI (Jurnal Mahasiswa Teknik Informatika) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) SOSIOEDUKASI : JURNAL ILMIAH ILMU PENDIDIKAN DAN SOSIAL Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Darma Agung Jurnal Bisnis, Manajemen, dan Ekonomi Jurnal Generic Jurnal Pendidikan dan Teknologi Indonesia Djtechno: Jurnal Teknologi Informasi Jurnal Algoritma Jurnal Teknologi dan Manajemen Industri Terapan Jurnal Pengabdian Masyarakat - Teknologi Digital Indonesia Indonesian Journal Computer Science (ijcs) Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Indonesia Sosial Teknologi The Indonesian Journal of Computer Science Management Analysis Journal Scientific Journal of Informatics Journal of Mathematics, Computation and Statistics (JMATHCOS) Buffer Informatika JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Ken Ditha Tania
Jurusan Sistem Informasi, Universitas Sriwijaya
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 Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Other

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Implementasi Model Klasifikasi Decision Tree untuk Evaluasi Kinerja Organisasi dan Dukungan Pengambilan Keputusan: Implementation of Decision Tree Classification Model for Organizational Performance Evaluation and Decision Support Juliyanti, Tamara; Marpaung, Xenia Clarissa Valencia; Az-Zahra, Nanda Salsabila; Nabilaputri, Silvia; Meiriza, Allsela; Tania, Ken Ditha; Rifai, Ahmad
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 6 No. 2 (2026): MALCOM April 2026
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v6i2.2646

Abstract

Pengelolaan data kinerja yang tidak terintegrasi menyebabkan informasi organisasi belum dimanfaatkan secara optimal dalam pengambilan keputusan strategis. Penelitian ini bertujuan mengembangkan model manajemen pengetahuan berbasis data dengan mengintegrasikan Model SECI dan algoritma Decision Tree pada PT PLN (Persero) UID Jawa Barat. Data kinerja operasional diolah melalui tahapan pembersihan data, seleksi atribut, dan transformasi data, kemudian dianalisis menggunakan algoritma C4.5 pada RapidMiner untuk menghasilkan model klasifikasi dan aturan keputusan. Hasil penelitian menunjukkan bahwa model yang diusulkan mampu mencapai akurasi sebesar 95,62% dengan standar deviasi ±6,18%. Selain itu, model menghasilkan aturan keputusan yang mudah diinterpretasikan serta mampu mengidentifikasi faktor dominan yang memengaruhi kinerja unit operasional. Aturan tersebut dipetakan ke dalam tahapan SECI untuk menghasilkan pengetahuan eksplisit yang terdokumentasi. Integrasi data mining dan manajemen pengetahuan memberikan pendekatan yang sistematis dalam mendukung evaluasi kinerja organisasi dan pengambilan keputusan berbasis data.
Knowledge Discovery untuk Identifikasi Atribut Dominan Depresi Mahasiswa Menggunakan Random Forest: Knowledge Discovery for Identifying Dominant Attributes of Student Depression Using Random Forest Akmar, Nur Salwa Fadia; Saputra, Gerri Asa; Suandi, M.; Yusuf, Muhammad; Meiriza, Alsella; Tania, Ken Ditha; Rifai, Ahmad
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 6 No. 3 (2026): MALCOM July 2026
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v6i3.2684

Abstract

Depresi merupakan gangguan kesehatan mental yang umum dialami Mahasiswa dan dipengaruhi oleh faktor sosial, akademik, serta psikologis. Penelitian ini bertujuan untuk mengidentifikasi atribut dominan depresi pada Mahasiswa menggunakan pendekatan data mining dalam kerangka Knowledge Discovery in Databases (KDD). Kebaruan penelitian ini terletak pada integrasi seleksi fitur Weight by Information Gain dan klasifikasi Random Forest untuk mengukur kontribusi atribut secara kuantitatif. Dataset Student Mental Health yang digunakan berjumlah 101 data, dengan distribusi kelas yang tidak seimbang. Hasil menunjukkan bahwa Marital Status merupakan atribut yang paling dominan, diikuti oleh Treatment, Anxiety, dan Panic Attack. Model menghasilkan akurasi sebesar 80,36%. Penelitian ini menunjukkan bahwa pendekatan yang digunakan tidak hanya mampu melakukan klasifikasi, tetapi juga mampu mengidentifikasi faktor dominan depresi pada Mahasiswa secara objektif.
SECI and K-Means Integration for Public Sector Logistics Budget Efficiency Surya, Leiden Fauzi Yoka; Kurniasari, R. Nyi Pipih; Ramadhani, Muthia; Amanda, Khansa Putri; Tania, Ken Ditha; Kurniawan, Dedy; Rifai, Ahmad
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 6 No. 3 (2026): MALCOM July 2026
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v6i3.2695

Abstract

Suboptimal management of office supplies causes significant budget waste in the public sector. This study addresses this issue by integrating the K-Means algorithm and the Socialization, Externalization, Combination, dan Internalization (SECI) knowledge management model to optimize logistics budget efficiency at the Palembang DPRD Secretariat. K-Means was utilized to partition the 2025 supply expenditure data into three priority clusters based on budget absorption and demand frequency. To ensure analytical outputs influence managerial decisions, K-Means was positioned as the primary explicit-to-explicit transformation engine within the SECI combination phase. The integration successfully transformed raw transaction data into a data-driven Standard Operating Procedure (SOP). Quantitative analysis reveals that a small subset of items in Cluster C3 accounts for a disproportionately high share of total budget absorption. Consequently, supervision can now strictly target these high-budget anomalies such as the Rp52.2 million spent on specific folio paper significantly reducing potential leakage and improving allocation efficiency. The main scientific contribution of this study is a novel framework that bridges mathematical data extraction and managerial policy formulation. This integrated approach is proven to measurably enhance regional budget efficiency.
Penerapan Metode K-Means Clustering untuk Segmentasi Performa Pembalap F1 Season 2024 Shofi Salsabila; Mutia Sahira; Adella Salsabila; Aulia Najibah Putri; Ken Ditha Tania; Winda Kurnia Sari
Buffer Informatika Vol. 11 No. 2 (2025): Buffer Informatika
Publisher : Department of Informatics Engineering, Faculty of Computer Science, University of Kuningan, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/buffer.v11i2.401

Abstract

Performa pembalap Formula 1 tidak hanya ditentukan oleh hasil akhir balapan, tetapi juga oleh konsistensi catatan waktu dan lap tercepat. Penelitian ini menerapkan algoritma K-Means clustering untuk mengelompokkan pembalap berdasarkan performa mereka. Data yang digunakan mencakup hasil balapan resmi musim 2024 yang diterbitkan oleh FIA. Proses pengolahan data mencakup pengumpulan data, preprocessing, analisis eksploratori, penerapan algoritma clustering, serta evaluasi dan interpretasi hasil. Untuk menentukan jumlah cluster yang optimal, digunakan Metode Elbow dan skor Silhouette, yang menghasilkan empat kelompok pembalap dengan karakteristik performa yang berbeda. Hasil analisis menunjukkan bahwa metode ini berhasil mengidentifikasi pola performa yang relevan, memberikan wawasan bagi tim balap dalam menyusun strategi. Evaluasi menggunakan Silhouette Score menunjukkan bahwa segmentasi yang dihasilkan cukup baik dengan nilai sebesar 0.5735.
Knowledge Discovery Based on Sentiment Analysis of Public Perceptions About Generative AI on X Muammar Ramadhani Maulizidan; Ken Ditha Tania
IJIE (Indonesian Journal of Informatics Education) Vol 9, No 2 (2025): (IJIE) Indonesian Journal of Informatics Education - December
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijie.v9i2.107758

Abstract

Public discourse surrounding Generative Artificial Intelligence (GenAI) reflects diverse attitudes ranging from optimism to ethical concern, particularly as these technologies become increasingly discussed in educational contexts. This study examines public perceptions of GenAI on the social media platform X using a knowledge discovery approach that integrates multiple topic modeling techniques and Aspect-Based Sentiment Analysis (ABSA). A total of 111,675 English-language tweets collected between June 23, 2024, and June 23, 2025, were analyzed using five topic modeling methods BERTopic, Top2Vec, LDA, LSA, and NMF to identify dominant discussion themes and evaluate topic coherence. Sentiment toward specific GenAI aspects was subsequently examined using ABSA to capture fine-grained public attitudes. The results indicate that topics related to ethics and creativity are predominantly associated with negative sentiment, while innovation and cloud-related discussions show higher levels of positive sentiment. Education-related topics are largely characterized by neutral sentiment, suggesting exploratory and informational discourse. These findings highlight the importance of addressing ethical awareness, trust, and AI literacy in informatics education. By combining multi-model topic analysis with aspect-level sentiment interpretation, this study provides methodological insights and empirical evidence to support responsible GenAI integration in educational contexts.
User Satisfaction Analysis on the Strava Application in Palembang City using the Usability Method Muhammad Hafiz Al Zaky; Apriansyah Putra; Ari Wedhasmara; Ken Ditha Tania
SISTEMASI Vol 15, No 7 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Universitas Islam Indragiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i7.6725

Abstract

This study aims to evaluate user satisfaction with the Strava application in Palembang through a usability approach. A quantitative research design was employed involving 100 Strava users as respondents. The study examined Learnability, Efficiency, Memorability, and Errors as usability dimensions influencing User Satisfaction. Data were collected through a structured questionnaire and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4 software. The results indicate that all measurement indicators satisfied the required validity and reliability criteria. Hypothesis testing revealed that, individually, only the Errors dimension had a significant effect on user satisfaction, whereas Learnability, Efficiency, and Memorability did not show significant effects. However, when considered simultaneously, all usability dimensions collectively contributed to user satisfaction. These findings suggest that system stability and a low error rate are the primary factors influencing user satisfaction with the Strava application.
Sentiment and Topic Analysis of Digital Community Application Gamer Reviews using SVM-LDA and CRISP-DM Muhammad Mayda Ary Pratama; Dedy Kurniawan; Ahmad Rifai; Ken Ditha Tania
SISTEMASI Vol 15, No 1 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Universitas Islam Indragiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i1.5746

Abstract

Impatient behavior among gamers is often reflected in sharp and emotionally charged digital reviews, particularly in the use of community applications such as Discord. This study explores expressions of impatience through sentiment and topic analysis. By adopting the CRISP-DM framework, a total of 10,000 Indonesian-language reviews collected from the Google Play Store were analyzed. The analytical process begins with sentiment labeling using IndoBERT, followed by polarity classification using the Support Vector Machine (SVM) algorithm, and topic exploration through the Latent Dirichlet Allocation (LDA) method. The results indicate that 57.4% of the reviews express positive sentiment, primarily related to voice communication quality and community interaction features. In contrast, 42.6% of the negative reviews commonly convey frustration regarding login issues and verification processes. The SVM model optimized using Bayesian Optimization achieved an accuracy of 90.46%. This study highlights that Discord serves not only as a communication platform but also as a reflection of users’ high expectations for system speed and stability. The main contribution of this research lies in the integration of SVM–LDA methods within the CRISP-DM framework to better understand the digital behavior of Indonesian gamers. The practical implications of these findings provide strategic insights for developers to improve authentication reliability and community features in alignment with user characteristics.
A Generative AI-Driven Approach to Integrating the SECI Model for Knowledge-Based Systems Frans Nicko Apriansyah; Badia Inaya Sazrade; Cahyo Adi Nugraha; Tri Mutiara Illahi; Ken Ditha Tania; Zaqqi Yamani A
The IJICS (International Journal of Informatics and Computer Science) Vol. 10 No. 2 (2026): July
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v10i2.9717

Abstract

This study examines the potential role of Generative Artificial Intelligence (Gen-AI) in extending the Socialization, Externalization, Combination, and Internalization (SECI) model within knowledge management. Using a Systematic Literature Review (SLR) of studies published between 2024 and 2026, it maps the functions of technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Logic Augmented Generation (LAG) into Nonaka and Takeuchi’s knowledge spiral. The findings indicate that Gen-AI can support knowledge processes such as retrieval, interpretation, structuring, and integration, which may contribute to more continuous and digitally mediated knowledge flows. Some reviewed studies report improvements in handling tacit and explicit knowledge; for example, a simulation-based study reports a tacit knowledge recall rate of up to 94.9%, although this result is derived from a specific experimental context and should not be generalized. The review also identifies challenges, including AI-generated inaccuracies, overreliance on automated systems, and data security concerns, highlighting the continued importance of human oversight. This study contributes a conceptual mapping of a Generative AI-based Knowledge Framework (GRAI) as an extension of the SECI model; however, this contribution remains theoretical and requires further empirical validation across organizational contexts.
Comparative Study of Naive Bayes and SVM for E-Commerce Sentiment Classification on Shopee Yoga Fradana; Cahyo Adi Nugraha; Frans Nicko Apriansyah; Tri Mutiara Illahi; Ken Ditha Tania; Allsela Meiriza
The IJICS (International Journal of Informatics and Computer Science) Vol. 10 No. 2 (2026): July
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v10i2.9740

Abstract

This study compares the performance of Naive Bayes and Support Vector Machine (SVM) for sentiment classification of men’s shirt product reviews on Shopee. A dataset of 500 reviews was collected via web scraping and processed through case folding, tokenizing, stopword removal, and stemming, followed by TF-IDF feature extraction. The data was split at an 80:20 ratio and evaluated using accuracy, precision, recall, and F1-score. The main contribution of this study is demonstrating that despite both algorithms achieving equal overall accuracy of 93%, SVM outperforms Naive Bayes in detecting negative sentiment on a class-imbalanced dataset, with SVM attaining a negative class recall of 0.87 and F1-score of 0.88 compared to 0.80 and 0.87 for Naive Bayes. These findings provide practical guidance for selecting an appropriate classifier in imbalanced e-commerce review classification tasks.
IMPLEMENTASI SISTEM BUSINESS INTELLIGENCE UNTUK MENDUKUNG PENINGKATAN PENGAMBILAN KEPUTUSAN MANAJERIAL KESEHATAN Mutia Fadhila Putri; Ken Ditha Tania; Ali Bardadi
Djtechno: Jurnal Teknologi Informasi Vol 7, No 1 (2026): April
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/djtechno.v7i1.8535

Abstract

Pengelolaan data kesehatan masyarakat pada instansi pemerintah daerah umumnya masih bergantung pada mekanisme pelaporan manual yang terfragmentasi, sehingga menghambat efektivitas pengambilan keputusan berbasis bukti. Penelitian ini bertujuan merancang dan mengimplementasikan sistem Business Intelligence (BI) pada Dinas Kesehatan Kota Palembang guna meningkatkan integrasi data, kualitas analisis informasi, dan ketepatan pengambilan keputusan. Penelitian mengadopsi pendekatan Business Intelligence Roadmap yang terdiri dari fase analisis bisnis, perencanaan, desain, dan konstruksi. Data laporan oprasional dari 39 Pusat Kesehatan Masyarakat (PUSKESMAS) di wilayah Kota Palembang diintegrasikan melalui proses extract, transform, dan load (ETL) data ke dalam arsitektur data warehouse multidimensional, kemudian dianalisis menggunakan Pentaho dashboard visualisasi dan teknik clustering dengan algoritma K-Means. Hasil implementasi menunjukkan bahwa sistem yang dikembangkan mampu mengatasi permasalahan fragmentasi data dan menghasilkan dashboard interaktif yang mendukung pemantauan kondisi kesehatan masyarakat secara multidimensi. Penerapan teknik clustering menghasilkan tiga klaster wilayah kerja puskesmas berdasarkan profil epidemiologis yang berbeda, memberikan wawasan yang sebelumnya tidak dapat diidentifikasi melalui laporan periodik konvensional. Evaluasi melalui user acceptance test (UAT) menunjukkan tingkat penerimaan yang baik dari pengguna sitem. Penelitian ini menegaskan bahwa BI berpotensi meningkatkan transparansi informasi dan mendukung perumusan kebijakan kesehatan yang lebih tepat sasaran di tingkat pemerintah daerah.
Co-Authors A. Salwa Aurelya Putri Abdillah Putra, Muhafsyah Adeliani, Adeliani Adella Salsabila Adriansyah, Rizki Afdhal Nadzif, Muhammad Ahmad Fadhil Rizqi Ahmad Rifai Ahmad Rifai Ahmad Rifai Aisyah Fatimah Akbar Adiprama, Faris Akbar Kurniawan, Iqbal Akbar, Rifko Akhda, M. Dandi Akmar, Nur Salwa Fadia Al Fachrozi, Muhammad Al-Farisy, M Hadi Albukhori, M Rafli Alfarizi Ramadhiyansa, Muhammad Alfarizi, M. Ali Bardadi Ali Ibrahim Ali Ibrahim (SCOPUS ID: 57203129436) Alifa Putri Shahabiyah Aliya Faiza Aliyananda Risyahputri Allsela Meiriza, Allsela Allsella Meiriza Alsella Meiriza Alsella Meiriza Alvines, Mahendi Alzena Aisha Shakira Amanda Ardhani, Dhita Amanda, Khansa Putri 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 Apriansyah Putra Apriyadi Apriyadi, Apriyadi Aqil Zidane, Muhammad Aqilah Syahputra, M Fathan Archi Daffa Danendra, Muhammad Ardhillah, Onky Ardina Ariani Ari Wedhasmara Ariyani, Ishlah Putri Ariyanti, Putri Arvhi Randita Setia Athallah Ubaid, Deni Athiyyah Nuha Rotifa Attika Putri, Shopi Audia Faradhisa Ansori Aulia Najibah Putri Aulia Pinkasari Ayuningtiyas, Pratiwi Az-Zahra, Nanda Salsabila Azera Pramesty Azmi Zaky, Muhammad Azra, Muhammad Azyumardi Badia Inaya Sazrade Bagus Prihantoro Bahri, Cheisya Andini Baidhawi, Alif Bimmo Fathin Tammam Cahya Aulia, Syifa Cahya Rahmi Anissa Cahyo Adi Nugraha Cantika Aulia Cici Elna Sari Cindy Dinata Citra, Belia Clark Peter Wijaya, Adley Constancio, Elven Dedy Kurniawan Dian Febriansyah Dila Naila Fahria Dwiansyah, Octa Dzaky Agusman, Muhammad Edo Wicaksono Eka Saputra Eka Therina Lakeisyah Elna Sari, Cici Endang Lestari Ruskan Epriyanti, Nadia Fachrozi, Muhammad Al Fahmi Aulia Hakim, Adzka faizah, haniyah Fajaria, Mutiara Fakhri Sepriansyah Fakhri Sepriansyah Farhan Daffazka Fathoni - Fatihaturrahmah, Aisyah Fauzan, Muhammad Fairuz Ferdiansyah Fidela Tertia Alfino Fikri, M Fauzan Firmansyah, Zikri Frans Nicko Apriansyah Gabriel Sebastian Santoso Gibral Abdurahman 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 Jackson Imanuel Manurung Jeremiah Alwin Siahaan Jodi Pratama, Muhammad Jonathan Pakpahan Juliyanti, Tamara Junia Kurniati Juseia Wulandari Karima, Dzakiah Aulia Karimsyah Lubis, Muhammad Khairunnisa’ Almaududy Khalid Al Mas Ud Khoiriyah Harahap, Dayana Kurnia Sari, Winda Kurniasari, R. Nyi Pipih Lailla Syal Syabilla Lakeisyah, Eka Therina Lifiano Jamot Munthe, Gabriel Lubis, Muhammad Ali M Ihsan Jambak M Luthfi Khailani, Kgs M Naufal Hisyam M Tsabita Robani M. Fadhil Rahman M. Ilham Fahlevi M. Thoriqul Fadli Mahdiyah Afifah Sari Mahdiyah Afifah Sari Marco Saputra Maretta, Aulia Pinkan Mariska, Inneke Via Marpaung, Xenia Clarissa Valencia Maulizidan, Muammar Ramadhani Mei Intan Natasyah Meiriza, Allsella Meiriza, Alsella Meiyin Monica Amilia Putri Merizka Azzahra Miftahul Falah Mira Afrina Mohd Rizky Putra Pratama Muammar Ramadhani Maulizidan Mufidah, Luthfiah Muhammad Adisatya Dwipansy Muhammad Bayu Samudra Muhammad Dzaky Alifayoezra Muhammad Dzaky Hasyim Muhammad Fakhri Nadrota Acta Muhammad Hafiz Al Zaky Muhammad Idris Muhammad Ihsan Dirgantara Muhammad Iqbal Disriansyah Muhammad Luthfi Al-Ghifari Muhammad Luthfi Al-Ghifari Muhammad Mayda Ary Pratama Muhammad Qurhanul Rizqie Muhammad Wahyu Hikmalsyah Muhammad Yusuf Munaspin, Zahra Diva Putri Mutia Fadhila Putri Mutia Sahira Nabilaputri, Silvia Nabilatulrahmah, Raihana Nachwa, Syakillah Naila Raihana Putri Najwa Widasari, Yesya Naretha Kawadha Pasemah Gumay Naretha Kawadha Pasemah Gumay Nashiroh Ramadhani, Muthia Naufaldihanif, Rihan Novrizal Eka Saputra Nugraha, Allan Nulry Izzatul Maula Nuraini Kusuma, Aisha Nurly Izzatul Maula Onkky Alexander Pacu Putra Prasetia, Dika Pratama Putra, Daffa Pratiwi, Metti Detricia Purba, Kevin Agustin Puti Chalisa Wardhana Putri Ariyanti Putri Casanova, Musdalifa Putri Mutiara Arinie Putri Rahel Alifia Putri Salsabilah Putri Silpiara Putri, Amelia Rizki Putri, Aulia Najibah Putri, Naila Raihana Putri, Salsa Anindya RA Aliffyaa Ramadhani Rabbani, Muhammad Randy Raditya Dafa Rizki Rafi Herdian Rafika Octaria Ningsih Rafli Maulana, Muhammad Rahmah, Atika Nur Rahmat Izwan Heroza Rahmat Maulana Ramadhan Putra Pratama, Muhammad Ramadhani, Indira Nailah Ramadhani, Muthia Rangga Aderiyana, Fakih Ravi Wijayanto, Muhammad Riansyah, Muhammad Bintang Naufal Risyahputri, Aliyananda Rizka Dhini Kurnia Rizka Mumtaz, Fadia Rizki Ade Ningsih Rizki Kurniati Rizky Herdiansyah, Muhammad Rizkyllah, Anabel Fiorenza Rositiani, Ely Rusdi Effendi Sabar Manahan, Nico Sabila, Amalia Sahira, Mutia Salsabila, Adella Salsabila, Shofi Sanjaya, Riska Amelia Saputra, Gerri Asa Sasmita, Ruth Mei Satria, Eka Bayu Sembiring Depari, Alrayssa Davinka Septhia Charenda Putri Sevtiyuni, Putri Eka Shafa Aurelliza Arian Shelly Putri Shofi Salsabila Siade, Shalya Yunia Siregar, Richi Nauli Juniarto Siti Hariza Marshella Suandi, M. Suci Amalia Suci Fitriani, Suci Sukamto, Ika Sumiyarsi Sukatin, Sukatin Surya, Leiden Fauzi Yoka Syakillah Nachwa Syarief Albani, Muhammad Talitha Zafirah Theonady, Oktavio Theresia Pardede, Eva Theressa Hasioani Sianturi, Claudia Tika Octri Dieni Titiana, Nuke Merisca Tri Mutiara Illahi Tri Zafira, Zahra Triana, Ayu Triputra, Muhamad Meiko Tsabitah, Laila Ummu Farida Muthmainnah Violin Juneyla Nandita Wahyuni Cahnia Sari Wilantara, M Pandu Winda Kurnia Sari Winda Kurnia Sari Wirnanti, Rintan Wulan Dari, Atikah Yasir Alghifari, Muhammad Yasyfi Imran, Athallah Yesinta Florensia Yoga Fradana Zahran Afif, Muhammad Zaqqi Yamani Zaqqi Yamani Zaqqi Yamani A Zaskia Aulia Wulandari Zidan, Umar Rahman