Article Per Year (5 Year)
p-Index From 2020 - 2025
28.264
P-Index
This Author published in this journals
All Journal Dinamik (JELIKU) Jurnal Elektronik Ilmu Komputer Udayana Techno.Com: Jurnal Teknologi Informasi Teika Syntax Jurnal Informatika Elkom: Jurnal Elektronika dan Komputer Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Informatika dan Teknik Elektro Terapan Scientific Journal of Informatics Infotech Journal INFORMAL: Informatics Journal Journal of Information System Sistemasi: Jurnal Sistem Informasi JTT (Jurnal Teknologi Terpadu) Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi JURNAL LENTERA : Kajian Keagamaan, Keilmuan dan Teknologi Information System for Educators and Professionals : Journal of Information System Information Management For Educators And Professionals (IMBI) Jurnal Ilmiah Matrik PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Journal Information System Development METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi ILKOM Jurnal Ilmiah INTECOMS: Journal of Information Technology and Computer Science JurTI (JURNAL TEKNOLOGI INFORMASI) Angkasa: Jurnal Ilmiah Bidang Teknologi JSiI (Jurnal Sistem Informasi) Explore IT : Jurnal Keilmuan dan Aplikasi Teknik Informatika J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Kreativitas PKM Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Jurnal Informasi dan Komputer KOMPUTIKA - Jurnal Sistem Komputer KOMPUTA : Jurnal Ilmiah Komputer dan Informatika Jurnal Teknologi dan Informasi Jurnal Riset Informatika Informatika : Jurnal Informatika, Manajemen dan Komputer Jurnal Informatika Global Jurnal Teknologi Terpadu STRING (Satuan Tulisan Riset dan Inovasi Teknologi) JOISIE (Journal Of Information Systems And Informatics Engineering) Journal of Information System, Applied, Management, Accounting and Research Antivirus : Jurnal Ilmiah Teknik Informatika Jurnal Tekno Kompak Progresif: Jurnal Ilmiah Komputer Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika Technologia: Jurnal Ilmiah Jurnal Pendidikan dan Konseling Jurnal Informatika dan Rekayasa Elektronik Jurnal Tata Kelola dan Kerangka Kerja Teknologi Informasi Systematics Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Sistem informasi dan informatika (SIMIKA) Buana Information Technology and Computer Sciences (BIT and CS) Generation Journal Cyber Security dan Forensik Digital (CSFD) JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Teknika Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Journal Sensi: Strategic of Education in Information System MEANS (Media Informasi Analisa dan Sistem) Jurnal Nasional Ilmu Komputer Informatics and Digital Expert (INDEX) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Ilmiah Wahana Pendidikan Jurnal Manajemen Informatika Jayakarta Insyst : Journal of Intelligent System and Computation Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Journal of Students‘ Research in Computer Science (JSRCS) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Tridharmadimas: Jurnal Pengabdian Kepada Masyarakat Jayakarta Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen JUSTIN (Jurnal Sistem dan Teknologi Informasi) Society: Jurnal Pengabdian Masyarakat Jurnal Teknologi Sistem Informasi Joutica : Journal of Informatic Unisla Jurnal Informasi Sains dan Teknologi (ISAINTEK) Jurnal Pustaka Data : Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitektur Komputer INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Jurnal Sistem Informasi Innovative: Journal Of Social Science Research Communautaire: Journal of Community Service VIDHEAS: Jurnal Nasional Abdimas Multidisiplin INTERNAL (Information System Journal)
Apriade Voutama
Universitas Singaperbangsa Karawang
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy 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 Medicine & Pharmacology Nursing Public Health Social Sciences Other

Published : 246 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 246 Documents
Search

 9   10   11   12   13 
Penerapan Algoritma K-means Pada Kasus HIV Di Jawa Barat Untuk Pengelompokan Berdasarkan Tingkat Penyebaran Di Setiap Kabupaten/Kota Menggunakan Rapidminer Dewi, Dica Parameswari Syifa; Voutama, Apriade
Jurnal Teknologi Sistem Informasi Vol 4 No 2 (2023): Jurnal Teknologi Sistem Informasi
Publisher : Program Studi Sistem Informasi, Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jtsi.v4i2.4949

Abstract

HIV (Human Immunodeficiency Virus) adalah Virus yang menyerang sistem kekebalan tubuh manusia dan melemahkan kemampuan tubuh untuk melawan penyakit. HIV adalah penyakit mematikan yang belum bisa disembuhkan, tetapi terdapat pengobatan yang dapat dilakukan untuk memperlambat perkembangan penyakit HIV. Clustering dalam k-means adalah proses pengelompokan data menjadi beberapa kelompok atau cluster berdasarkan jarak antara data dengan centroid atau pusat massa. Tujuan clustering adalah untuk mengumpulkan data dengan karakteristik serupa ke dalam satu wilayah yang sama. Tujuan dari penelitian ini adalah untuk mengelompokkan wilayah yang memiliki tingkat penyebaran penyakit HIV yang serupa, sehingga dapat membantu pemerintah dan masyarakat dalam melakukan tindakan pencegahan dan pengobatan yang tepat. Dalam penelitian ini , peneliti membagi data menjadi 3 cluster . Dari 27 kabupaten/kota yang ada di Jawa Barat , peneliti menemukan hasil bahwa , terdapat 13 kabupaten atau kota yang termasuk kedalam cluster tingakt tinggi (C1) , terdapat 13 kabupaten atau kota yang termasuk kedalam cluster tingakt sedang (C2) , dan terdapat 1 kota yang termasuk kedalam cluster tingakt rendah (C2) . Dari penelitian tersebut diharapkan dapat membantu dinas kesehatan Provinsi Jawa Barat , dalam melakukan pencegahan dan juga meningkatkan penanganan kasus HIV di wilayah tersebut.
Penerapan Metode Profile Matching Pada Pemilihan Ketua Ekstrakurikuler Badminton SMA Negeri 1 Cilamaya Azahri, Dias Raihan; Voutama, Apriade
Jurnal Teknologi Sistem Informasi Vol 4 No 2 (2023): Jurnal Teknologi Sistem Informasi
Publisher : Program Studi Sistem Informasi, Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jtsi.v4i2.5259

Abstract

Pembentukan Karakter siswa di tingkat SMP dan SMA sangatlah penting dalam meningkatkan mutu atau lingkungan sekolah sert membantu dalam pembentukan karakter siswa. Dalam menentukan ketua ekstrakurikuler sangat diperlukan beberapa aspek penilaian karakter ataupun keterampilan yang dimiliki oleh para calon ketua, bukan tanpa alasan, penilaian itu bertujuan agar dapat mengayomi dan akan menjadi panutan bagi anggota-anggota yang lain. Sering kali dalam pemilihan ketua ekstrakurikuler dilakukan secara sepihak yang dilakukan oleh pembina, sehingga sering menjadi perdebatan di kalangan anggota tentang hal ini. Dalam penelitian ini diharapkan dapat membantu dalam pemilihan ketua ekstrakurikuler badminton di SMA Negeri 1 Cilamaya dengan menerapkan metode Profile Matching. Dalam penelitian ini kriteria yang telah ditentukan yaitu Skill, loyalitas, kepemimpinan, disiplin dan prestasi. Penelitian ini dilakukan dengan mengisi nilai angket dengan skala 1 = Sangat Kurang, 2 = Kurang, 3 = Cukup, 4 = Baik dan 5 = Sangat Baik. Berdasarkan hasil akhir dari penelitian ini nilai tertinggi diperoleh dengan nilai 4.9. Maka dapat ditarik kesimpulan bahwa adanya pengaruh penentuan pemilihan ketua ekstrakurikuler menggunakan metode Profile matching sesuai dengan kriteria yang sudah ada.
Prediksi Churn Nasabah Bank Menggunakan Klasifikasi Random Forest Dan Decision Tree Dengan Evaluasi Confusion Matrix Azmi, Azel Fabian; Voutama, Apriade
Komputa : Jurnal Ilmiah Komputer dan Informatika Vol 13 No 1 (2024): Komputa : Jurnal Ilmiah Komputer dan Informatika
Publisher : Program Studi Teknik Informatika - Universitas Komputer Indonesia (UNIKOM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputa.v13i1.12639

Abstract

Dalam lanskap perbankan yang terus berkembang, customer churn menjadi tantangan yang signifikan, yang berdampak pada pendapatan dan reputasi. Penelitian ini mengeksplorasi efektivitas pengklasifikasi Random Forest dan Decision Tree dalam memprediksi churn bank. Memanfaatkan dataset yang bersumber dari Kaggle, yang berisi informasi mengenai 10.000 nasabah bank, penelitian ini menggunakan teknik preprocessing dan pemilihan fitur untuk menyaring data. Selanjutnya, dataset tersebut dibagi menjadi set pelatihan dan pengujian untuk evaluasi model. Model Random Forest dan Decision Tree dilatih dan dievaluasi menggunakan analisis Confusion matrix. Hasilnya menunjukkan bahwa Random Forest mengungguli Decision Tree, mencapai rata-rata precision yang lebih tinggi (79% vs 72%), recall (78% vs 72%), F1-score (78% vs 72%), dan accuracy (78% vs 72%). Penelitian ini menyoroti keampuhan Random Forest dalam memprediksi churn nasabah secara akurat, sehingga memberikan wawasan yang berharga bagi bank dalam menerapkan strategi retensi nasabah yang efektif. Penelitian ini berkontribusi dalam memajukan analisis prediktif di sektor perbankan, memberdayakan institusi untuk mengurangi churn dan meningkatkan kepuasan pelanggan.
Analisis Text Mining Klasifikasi Kegiatan Keluarga menggunakan Orange dengan Metode Naive Bayes Fathiarahma, Arsya; Voutama, Apriade; Ridwan, Taufik; Heryana, Nono
Jurnal Teknologi Terpadu Vol 9 No 1 (2023): Juli, 2023
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v9i1.606

Abstract

The dual roles performed by women often lead to conflict in the family. Disputes can occur due to the lack of family roles in helping balance the work at home and office experienced by career women and mothers. The Naïve Bayes algorithm is used in this study to determine the results of applying the Naïve Bayes algorithm classification based on role, activity, age, and interest in a family. A total of 287 data records generated from the survey were used in this study and a data split of 80:20 for training and testing data using orange data mining tools. The results show that the calculation accuracy with the Naïve Bayes algorithm reaches 93%, with the conclusion that the use of orange data mining tools results in good accuracy.
Penerapan K-Means dan Rank Order Centroid pada Proporsi Individu dengan Keterampilan Teknologi Informasi dan Komputer Nurfitriana, Diana; Voutama, Apriade
Jurnal Teknologi Terpadu Vol 9 No 2 (2023): Desember, 2023
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v9i2.608

Abstract

Technological developments occur so quickly, resulting in continuous changes that qualified human resources are needed to support the endless times that run. This study will classify individuals with information technology and computer skills in Indonesia based on region. This research used K-Means clustering, the Rank Order Centroid method, and the Davies-Bouldin Index clustering evaluation method to assess accuracy. K-means clustering is a simple algorithm and does not require a target class. There are areas for improvement in the K-Means process, namely at the initial centroid determination stage. Therefore, the ROC method is used. Based on data taken from the website of Badan Pusat Statistik Nasional about the proportion of productive age individuals 15-59 years who have Information and Computer Technology skills by the province during 2017-2021. It produces 3 clusters, including a high-level cluster in which there are 8 provinces, a medium-level cluster in which there are 22 provinces, and a low-level cluster in which there are 4 provinces, and obtained a DBI value of 0.163625 which is close to 0, meaning that the quality of the accuracy of the clustering results is good. Based on clustering results with good accuracy, using K-Means can be combined with ROC and is quite effective. The government can use the results of this study to prioritize improving the quality of human resources in areas with low-level information and computer technology skills. Suggestions for further research using other clustering algorithms and ROC as a comparison.
Analisis Sentimen Ulasan Aplikasi MyPertamina pada Google Play Store menggunakan Algoritma NBC Maulana, Rihan; Voutama, Apriade; Ridwan, Taufik
Jurnal Teknologi Terpadu Vol 9 No 1 (2023): Juli, 2023
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v9i1.609

Abstract

The MyPertamina application is a digital service application from Pertamina with various services initiated and created to carry out purchases in vehicle fuel transactions. The existence of the MyPertamina application made by PT Pertamina caused reactions and criticism from some application users. Each user has various opinions about the MyPertamina application, as evidenced by the different star ratings in Google Play Store reviews. This study aims to determine the sentiments of MyPertamina application users, which are divided into two classes, namely positive and negative. The dataset in this study uses scraping results from user reviews on the Google Play Store. The data taken to carry out sentiment analysis is from 1 July 2022 to 31 July 2022, and the dataset is taken randomly. The dataset is classified by rating: ratings 4 and 5 as positive sentiment and ratings 1, 2, and 3 as negative sentiment. In this study, Google Colab tools will be used using Python programming. The dataset used is 5722 data labeled positive and negative, with the division of training data by 80% and test data by 20%. The MyPertamina application sentiment analysis results tend to be hostile towards using the application. This study used classification with the Naïve Bayes Classifier (NBC) algorithm. By using the Naïve Bayes Classifier algorithm, it produces 87% accuracy, 86% precision, 90% recall, and 87% f1-score.
Rancang Bangun Sistem Informasi Pendaftaran Pasien Berbasis Website di Rumah Sakit Permata Ekadianti, Ririn Yulia; Voutama, Apriade; Ridha, Azhari Ali
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 8, No 3 (2024)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/string.v8i3.17552

Abstract

Permata Hospital currently relies on a manual record-keeping system for patient registration, which is inefficient. The purpose of this research is to enhance the accuracy and efficiency of the patient registration process at Permata Hospital by designing a web-based patient registration information system. The research methodology employed in this study is the waterfall method, beginning with system requirements analysis, system design, implementation, testing, and maintenance. The expected outcome of this research is the development of a system that can process patient registrations effectively and efficiently. With the implementation of this information system, that it will reduce registration queues at the counters and facilitate patients in the registration process. Additionally, this system will assist hospital administrative staff in document archiving and patient registration data management.
Pemanfaatan Teknologi Virtual Reality sebagai Media Pengenalan UMKM Jawa Barat Berbasis Aplikasi Artsteps Putri, Shindi Audina; Voutama, Apriade; Heryana, Nono
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 8, No 2 (2023)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/string.v8i2.17553

Abstract

One option for introducing micro, small, and medium enterprises (UMKM) in West Java is through the use of virtual technology, which can potentially visualize different UMKM products interactively. Previously, the introduction of UMKM products relied solely on print media or social media for advertising. Therefore, Virtual Reality technology can be a solution to integrate information about UMKM in West Java. This research utilizes the MDLC (Multimedia Development Life Cycle) method to optimize the design and implementation process of Virtual Reality technology as an integrated information tool with 3D and other media. The end result of this virtual reality utilization research is a virtual tour simulation on "Introduction to West Java's UMKM," which allows users to interactively view the products that can be produced through the Artsteps application that has been integrated with the development of Virtual Reality technology.
Black Box Testing pada Website Sistem Perpustakaan Menggunakan Metode Equivalence Partitioning dan Analisis Boundary Value Restu Langit, Muhammad Shandy; Voutama, Apriade; Ali Ridha, Azhari
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 8, No 3 (2024)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/string.v8i3.19529

Abstract

The most important stage when developing a system is testing. Testing on the system needs to be carried out in order to find out how far the usability of the system is working. This research aims to carry out blackbox testing on the library system website by utilizing the Boundary Value and Equivalence Partitioning analysis methods to understand whether the functions on the website are running properly and to evaluate the suitability of website features with user needs. This test is carried out on the main function of the website, namely the login and sign in menu. This black box test is to test the accuracy of the type of input data and data entered into the system. Based on testing using this method, the results obtained were that no functional errors were found on the input side of the system and no errors were identified on the website system of the Bekasi Regency Archives and Library Service.
Analisis Opini Terhadap Aplikasi Riliv di Twitter Menggunakan Algoritma Naïve Bayes dan Random Forest Nurfitriana, Diana; Ridwan, Taufik; Voutama, Apriade
Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 14 No 1 (2024): Maret 2024
Publisher : STMIK Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33020/saintekom.v14i1.526

Abstract

In the current era of technological advancement and the internet, people can easily access various information. This technological advancement brings innovation in the mental health field, such as services in the form of apps. This research conducts sentiment analysis using the Naïve Bayes and Random Forest algorithms. The study aims to analyze Twitter users’ opinions regarding the Riliv apps and compare the results of classification using Naïve Bayes and Random Forest. This research methodology uses the AI Project Cycle method. The data used is tweet data from Twitter with the keyword 'aplikasi riliv’. The dataset consisted of 1035 data, which was processed to produce 273 positive, 273 neutral, and 39 negative sentiments data. The Naïve Bayes and Random Forest algorithms were applied to compare the classification results of the two. The most optimal classification results are Naïve Bayes with SMOTE with the division of 90% training data and 10% testing data, which results in an accuracy value of 82.72%, a value of precision is 82.89% and a value of recall is 82.72%. Based on the results of the distribution of sentiment data, most users gave positive reviews and were knowledgeable about the Riliv application, while only a few were disappointed
Co-Authors Abdussalam Amrullah Adawiyyah, Robbyatul Ade Andri Hendriadi Ade Purwanto ade, Nofri Adella Putri Riani Adhi Rizal Aditiya, Fajar Rizki Agnia Virli Rosdianty Agung Susilo Yuda Irawan Agustin, Amellia Veronica Ahmad Khusaeri Ahmad Ray Septa Firdaus Ahmad Ridhoi Fajri Ahmad, Isa Al Ghifary Ahzka Nabbilah Tuzzahrah Albert, Gerald Dustin Alfa Rizzi, Tegar Alfito Hadi, Rizky Ali Ridha, Azhari Ali Ridha, Azhari Amaliyah Amanda, Widia Amani Bestari, Amira Amelia Rahayu Andari Yasinta Permana Andika Prasetyo Andika Prasetyo Andri Hendriadi, Ade Andri Hendriadi, Ade Anggraeni, Dwi Suci Anggun Anggun, Anggun Annisa Aulia Yulianti Ardi, Afifah Risti Arip Solehudin Ariq Zeidan Mubarok Arkhan Harsono, Mufti Arsya Fathiarahma Aryani, Fitria Asep Jamaludin Asep Jamaludin Asshafa, Zaima Syarifa Asyary Muryanto, M Huannur Ayu Binangkit, Citra Ayu Ayu Oktavia Nugraha Ayu Yandani, Anisa Azahri, Dias Raihan Azalia, Hasna Nailah Azhari Ali Ridha Aziz Abdillah, Rafly Azizah Pauziah Azizzan, Rangga Azmi, Azel Fabian Azzahra Putri Maharani Azzahra, Adinda Diana Bayu Adhi Pamungkas Bella Nurseptia Betha Nurina Sari Billy Nugraha Br. Tarigan, Zahra Nurhaliza Budi Arif Dermawan Carudin Chaerur Rozikin Chandra Christian Christian, Chandra Cika Oktavia Dadang Yusup Daffa Rachman, Muhammad Daniel William Tucunan, Hans Daniswara, Rangga Mukti Danuarta, Bintang Dea Safryda Putri Deni Deni Devi Fitriani Maulana Dewi, Dica Parameswari Syifa Didi Shaldy Rahma Dikky Setiyanto Dimas Aditya Nugroho Ditasari, Widda Aulia Dodi Wahyono Dwi Latifah Rianti Efani Yancandra, Yogi Efelina, Vita Ekadianti, Ririn Yulia Elang Dennys Dhamara Elfina Novalia Elfrida Ratnawati Elis Elis Emilia Sukmawati, Cici Ergy Rahmatan Ramadhan Euis Saraswati Exanova, Deft Valian Fabiano Milan Almufqi Fajar Nadillah, Muhammad Fajriansyah, Eka Nazar Fakhri Muhammad FAQIH, ABDULLAH farizi, gali hirzi Fathiarahma, Arsya Fatimah Isny Nur Alvivi, Siti Fatimah, Fitri Asri Nur Fazri, Muhamad Fernandes, Muhammad Fernando, Samuel Firmansyah, Danu Firmansyah, Shafly Fitriani, Khairunnisa Fitrianti, Ika Ganes Wisnu Cahya Bagaskara Ganes Wisnu Cahya Bagaskara Garno Garno Garno Garno Garno, Garno garno, Garno Ghani Noer Rafi Gunadi Widi Nurcahyo Gunawan, Panji Hakim, Anugrah Damaris Hananto, Agustia Hannie, Hannie Haris Prayoga, Arfian Hasna Aqilla, Mutiara Haviv, Muhammad Herawati, Rahma Heriyanto, Alfieny Putri Heryana, Nono Ihsan, Muhammad Rafi Ilmuna Ilham Yudiatmoko Imroatus Solihah, Frisca Dwi Indra, Jamaludin Intam Purnamasari Intania Indah, Suci Iqbal Maulana IRWANTO Ismail Adhiya Adha Jamaludin, Asep Jufriadif Na`am, Jufriadif Juliani, Eva Kamal Prihandani Kamila Wilujeng, Cahya Khairunnisa, Gina Khofifah Wulandari Khoirunnisa Hamidah Khoirunnisa Hamidah Kurniawan, Angelina Isabella Lilis Nurjanah Sukaryati Lyionick Corint, Philips Margaretha, Joice Maulana, Muhammad Adrian Maulana, Rihan Maulana, Yuzril Nur Mayland Trifena Mayland Trifena Ma’sum, Aziz Meila Azzahra Sofyan, Fazrin Meliana Endang Nyimas Lisna Mentari Hasibuan Michael Owen Sirumapea, Arthuro Miftah Fariedh Andriansyah Miftahul Rohmah, Ika Milan Almufqi, Fabiano Milla Rochmawati Milla Rochmawati Muhaa, Najibah Aisyah Muhamad Aksyal Faiz Destian Muhamad Arya Fadila Muhammad Adrian Maulana Muhammad Akhbar Rizkhullah Muhammad Andika Anjas Syaputra Muhammad Fadhil Ar Rizqi Muhammad Fahmi Prasetio Muhammad Farrel Allard Muhammad Fiqri Widiyantoro Muhammad Fiqri Widiyantoro Muhammad Nur Yasin Muhammad Putra Tristan Muhammad Rafi Ilmuna Ihsan Mulyono, Larasati Mya Mustika Sari, Wilda Aprilia Nafsiah Muthmainnah, Tasyifa Nailufar Farha Afifah Najwa Nurshadrina Nana Mulyana Maghfur Nasywa Syifa Hanifah Nina Sulistiyowati Nina Sulistyowati Ningrum, Endah Sulistyo Nono Haeryana Nour Esa, Melati Novalia, Elfina Novianti Putri, Syifa Nugraha, H. Bagja Nugroho, Idshal Setyo Nur Sa'adah, Fitria Nuraini, Ririn Nurfitriana, Diana Nurhakim, Irsyad Nurhasanah, Alifia NURMEIRASARI, Nurmeirasari Nurul Fajri, Azki Nurul Hidayati Nurwigian, Hanifatul Oktavia, Gita Prabaningrum, Btari Praditta, Nazwa Prastika, Vernanda Ayu Pratama, Aditiya Yoga Pratama, Azhar Adyatma Prayogi, Rasyid Iskandar Purwantoro Purwantoro Purwantoro Puspita Sari, Laila Putra, Adjie Arrayan Surya Putri Riyandoro, Affani Putri, Shindi Audina Rabani Herdiansyah, Habil Rafi Nahjan, Muhammad Rafianto, Galih Ragil Pangestu, Bayu Rahardjo, Vandamme Muhammad Rahman Maulana Raihan, Hamzah Ramadhan Sumantri, Muhammad Jodi Ramadhan, Eki Ramadhan, Muhamad Farhan Ramadhan, Rizki Susilo Ramadhan, Zalfa Ramayanti, Cindi Ramona Purwa Novitri, Suci Rasyade, Maura Aqlaila Regan Fadhillah Restu Langit, Muhammad Shandy Reza Febriyansyah, Reza Riani, Adella Putri Rianti Surya Sukatma Richard Julianno Soeganda Ridha, Azhari Ali Ridha, Azhari Ali Rihan Maulana Rini Mayasari Riza Ibnu Adam Riza Ibnu Adam, Riza Ibnu Rizal, Adhi Rizaldi, Achmad Rizky Febriansyah, Muhammad Rizky Pangestu, Pradika Rizky Syaputra Rizqillah, Fathulfiqri Rozikin, Chaerur Sadiah, Ashifa Halimatus Salsabila Aini Rahmah Salsabila, Farras Salsabila, Fisca Shafa Salsabila, Salma Sanjaya, Roy Bagus Santosa Lumban Siantar, Immanuel Saputra, Ilham Saputra, Muhammad Rizky Sari, Wilda Aprilia Mustika Selvia Amelia, Dea Septiana, Aulia Septiani, Anisa Septianto, Muhammad Rizqi Shulhiyana, Shofi Simangunsong, Josua Siska Siska Siska Suci, Farradina Choria Sugih Sahyudi Suparno Surya Putra, Adjie Arrayan Susilawati Susilawati Susilawati, Susilawati Susilo Yuda Irawan, Agung Susilowati, Stephany Cinta Syahri Susanto Syahrul Dwi Hilda Syarif, Nadia Nurfadhilah Syazwani, Shafna Aliza Hayna Tasyifa Nafsiah Muthmainnah Taufik Maulana Taufik Ridwan Taufik Ridwan, Taufik Tazkia Damayanti Ultach Enri Umaidah, Yuyun Utami Dewi, Annisa Veronica Agustin, Amellia Vickry Ramadhan Wahyono, Dodi Wahyu, Pratama Widoseno, Daffa Wijaya, Melinda Winanda Bagaskara Yasmin, Ayutia Yogatura, Muhammad Aliffigo Yunitasari Yunitasari Yushini, Silmi Yusma Cantika Parhati Yusup, Dadang Yuyun Umaidah Yuyun Umaidah Zahra, Inez