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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) JSI: Jurnal Sistem Informasi (E-Journal) Jurnal Pseudocode Jurnal Teknologi Informasi dan Ilmu Komputer INTEKNA POSITIF Journal of Information Systems Engineering and Business Intelligence Annual Research Seminar JPSriwijaya Jurnal Ilmiah KOMPUTASI Sistemasi: Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING INTEGER: Journal of Information Technology Syntax Literate: Jurnal Ilmiah Indonesia Jurnal Sains dan Informatika JRMSI - Jurnal Riset Manajemen Sains Indonesia JITK (Jurnal Ilmu Pengetahuan dan Komputer) JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL PENDIDIKAN TAMBUSAI Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) JURIKOM (Jurnal Riset Komputer) Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat Jurnal Riset Informatika JOISIE (Journal Of Information Systems And Informatics Engineering) Building of Informatics, Technology and Science Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Journal of Information Systems and Informatics Zonasi: Jurnal Sistem Informasi Jurnal Pengabdian Masyarakat Bumi Raflesia Journal of Applied Engineering and Technological Science (JAETS) JATI (Jurnal Mahasiswa Teknik Informatika) Indonesian Journal of Electrical Engineering and Computer Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Generic Jurnal Teknik Informatika (JUTIF) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Informatika dan Teknologi Komputer ( J-ICOM) KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Abdi Masyarakat Indonesia Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Mejuajua Indonesian Journal of Innovation Studies Jurnal Puan Indonesia Jurnal Algoritma Jurnal Akuntansi, Keuangan dan Teknologi Informasi Akuntansi DEVOTE: Jurnal Pengabdian Masyarakat Global Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Jurnal Abdimas Maduma Jurnal Pengabdian dan Pemberdayaan Masyarakat Indonesia Journal of Management and Innovation Entrepreneurship (JMIE) Jurnal Pengabdian Masyarakat Ilmu Komputer The Indonesian Journal of Computer Science Buffer Informatika Jurnal PETISI (Pendidikan Teknologi Informasi) JUKEMAS : Jurnal Pengabdian Kepada Masyarakat
Ali Ibrahim
Universitas Sriwijaya, Indonesia
Religion Agriculture, Biological Sciences & Forestry 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 Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Neuroscience Nursing Public Health Social Sciences Other

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PENILAIAN KINERJA FINANCIAL DAN NON FINANCIAL UMKM MENGGUNAKAN EARLY WARNING SYSTEM (EWS) MENUJU STRUKTURISASI ADMINISTRASI USAHA DI KOTA BENGKULU Ibrahim, Ali; Fatmayanis, Kiki
Journal of Management and Innovation Entrepreneurship (JMIE) Vol. 1 No. 1 (2023): Oktober
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jmie.v1i1.167

Abstract

UMKM merupakan salah satu kegiatan ekonomi yang berperan penting bagi pertumbuhan ekonomi di Indonesia. Perkembangan UMKM pun meningkat dari tahun ke tahun namun mereka tidak menyadari bagaimana kondisi kesehatan usahanya sekarang. Pengembangan Usaha Mikro, Kecil, dan Menengah (UMKM) perlu mendapatkan perhatian yang lebih besar baik dari pemerintah maupun masyarakat agar dapat berkembang lebih komperatif bersama pelaku ekonomi lainnya. Maka dari itu Kementerian Koperasi dan Usaha Kecil Menengah (KUKM) telah meluncurkan aplikasi Early Warning System (EWS) untuk membantu mendiagnosa kondisi UMKM Kota Bengkulu apakah sehat, kurang sehat, atau tidak sehat dengan melakukan penilaian berdasarkan kinerja keuangan, manajemen keuangan, produksi, pemasaran, perbankan dan pengkreditan, sumber daya manusia, aspek kelembagaan dan legalitas usaha. Objek penelitian ini adalah Usaha Mikro Kecil dan Menengah (UMKM) di Kota Bengkulu dengan jumlah responden yaitu 98 usaha (perdagangan, industri, dan jasa). Teknik pengumpulan data dalam penelitian ini lebih dominan menggunakan kuesioner. Dan teknik analisis data yaitu menggunakan reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian ini dapat disimpulkan bahwa terdapat 42% kondisi sehat, 32% kurang sehat, dan 26% tidak sehat UMKM di Kota Bengkulu sehingga dapat cepat mengambil langkah dan kebijakan untuk menuju strukturisasi usaha di Kota Bengkulu dengan melakukan sosialisasi, pelatihan, dan dukungan modal untuk usaha.
PEMODELAN DAN SIMULASI DAFTAR ULANG PPDB PADA SEKOLAH MENENGAH ATAS DENGAN METODE MULTIPLE CHANNELS SINGLE PHASE (M/M/1) Meizalina, Mutiara Amalia; Ermatita, Ermatita; Ibrahim, Ali
ZONAsi: Jurnal Sistem Informasi Vol. 6 No. 3 (2024): Publikasi artikel ZONAsi: Jurnal Sistem Informasi Periode September 2024
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/zn.v6i3.21788

Abstract

The New Student Admission (PPDB) process in high schools is complex and requires efficient management to avoid long queues and errors in data processing. Until now, the Re-registration of New Student Admissions in high schools has always involved hundreds of prospective students in one school, resulting in long service and waiting times. Therefore, a solution is needed to address these issues and optimize available resources. This study uses the Multi Channels Single Phase (M/M/c) method with the Multi Channels Multi Phase (M/M/s) method. Modeling and simulation can help identify factors affecting latency, service time, and the number of students that can be served within a specific period. This can assist schools in planning their student population and optimizing the use of available resources. Based on data analysis, discussion, and conclusions from the comparison of two Modeling and Queue Simulation Methods in the re-registration process of New Student Admissions at SMA Negeri 10 Palembang, namely the Multi Channel-Single Phase and Multi Channel-Multi Phase Methods.
Penerapan Strategi Customer Relationship Management (CRM) Pada Sistem Informasi Pelayanan Pelanggan Studi Kasus : Rumah Kreatif Ogan Ilir Indralaya Amatullah, Shabrina; Syafitri, Hidayah; Delima, Rizki; Ibrahim, Ali
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 5 No 2: April 2018
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1461.117 KB)

Abstract

Customer Service Information System that implements Customer Relationship Management (CRM) strategy is a tool used to drive Creative House Ogan Ilir Indralaya so as to improve the quality of service to its customers. The implementation of this CRM strategy uses a web-based system that can manage customer data, product promotions, product sales data and customer service used for customers. The purpose of the implementation of CRM strategy in information systems is to retain existing customers by increasing customer satisfaction to service. The level of user satisfaction will be known from the questionnaire to be used in the Servqual (Quality of Service) method. With the implementation of Customer Relationship Management strategy in customer service information system expected information and services can be more quickly and easily.
HYBRID MODEL OF PARTICIPATORY AND DELIBERATIVE E-DEMOCRACY IN INDONESIA’S ELECTIONS Widhiarso, Dytha Ananda; Ibrahim, Ali
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.4.2072

Abstract

E-democracy is a branch e-government that uses information technology to support the process of implementing democracy. E-Democracy itself has several models that can be applied. The election process in Indonesia itself has 2 methods, namely Noken and individual, therefore, in this research the model focused on is the hybrid of participatory and deliberative model. This research aims to see the level of public readiness in using the e-democracy model for the implementation of General Elections. The research was carried out using the literature study method with a qualitative approach and accompanied by quantitative data collection using a questionnaire. The questionnaire was used to see the level of readiness to use the e-democracy model for elections. The questionnaire uses a mixture of TAM (Technology Acceptance Model) and DOI (Divergent of Innovation) methods. The results of this research show that the range of dimension index values is above 72%, with the highest value being 82% in the Calculation Results Dimension and 80% in the Perceived Usefulness Dimension. This shows that the public is ready to use e-democracy in the election process, and increases the possibility of using e-democracy in elections.
Design and Implementation of a Social CRM-Based Website Framework for Enhanced Information Services Ibrahim, Ali; Oklilas, Ahmad Fali; Novianti, Hardini
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 2 (2025): JUTIF Volume 6, Number 2, April 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.2.4660

Abstract

The development of website technology has encouraged digital transformation in various sectors, especially in the provision of information services. The website not only acts as a medium for delivering information, but also as a means of interaction between service providers and users. However, there are still many institutions that have not optimized the potential of the website to the fullest to build sustainable relationships with users. The result of this research is the design of a Social CRM-Based Website Framework for Enhanced Information Services. The Social CRM model enables two-way interaction, real-time feedback monitoring, and digital community management that supports openness and active user participation. The application of this model is directed at optimizing information services through improving the quality of communication, responsiveness, and personalization of content based on user needs. The results show that the majority of users want a website that is easy to access, informative, and integrated with social media, especially Facebook. The number of respondents in this study was 150 respondents, and the application of the Quicksort Algorithm for data analysis. This study proposes a Social CRM-based website framework to enhance user engagement in academic information services. Using the User-Centered Design (UCD) method, the system was developed and evaluated through a System Usability Scale (SUS) with 106 users. The results showed a usability score of 72 (Good). Integration with Facebook showed positive engagement, although data privacy concerns were noted.
Mapping the Distribution of Covid-19 Information using a Web-based Information System Ibrahim, Ali; Okllilas, Ahmad Fali; Azhar, Iman Saladin B.; Utama, Yadi; Zahran, Ahmad Hafizh
Sistemasi: Jurnal Sistem Informasi Vol 13, No 2 (2024): 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.v13i2.3773

Abstract

Based on information from several official government websites and national television media, at the beginning of November 2021, there was a decrease in the spread of the COVID-19 virus. At the end of November 2022, a new type of virus was discovered, namely SARS-CoV-2, also known as the Omicron variant, resulting in additional cases. Therefore, researchers conducted research with the aim of providing information about the spread of the virus with a mapping system down to the RT level, so that the public gets detailed and real-time information about the area based on mapping. The urgency of this research is that, with the results of this research, the public can take better care of and be able to provide self-awareness regarding health protocols. The public can have access to detailed information and mapping about the spread of the virus. This research adopts changes in the design science research methodology proposed by Hevner. The results of the research are an Information System for Mapping the Distribution of COVID-19 Cases and Their Danger Level with 5 calculation categories, namely class I with a range of 66–80 has very high danger level criteria, class II with a range of 51–65 has high danger level criteria, class III with a range of 36–50 has medium level criteria, class IV with a range of 36–50 has criteria for a low level of danger, and class V with a range of 5–20 has a very low level of danger.
Implementation of MeCUE 2.0 Method in Evaluating MyTelkomsel User Experiencel Dela Arum, Hestiana; Ibrahim, Ali
Sistemasi: Jurnal Sistem Informasi Vol 13, No 6 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

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

Abstract

This research aims to evaluate the user experience of MyTelkomsel application using the Modular Evaluation of Key Components of User Experience (MeCUE) 2.0 method. The growth of telecommunications technology and increased smartphone usage highlights the importance of apps that efficiently meet user needs. Although MyTelkomsel offers a wide range of services, many users have reported difficulties using certain features and dissatisfaction with the service, as seen in reviews on platforms like the Play Store, indicating challenges with user experience. This research focuses on identifying where the app meets user needs and where improvements are necessary. The findings show that while the app performs well in terms of usability and usefulness (scoring 6.31 and 6.25, respectively), it scores lower in commitment (4.64) and intention to use (4.74). These results suggest that while the app is functionally effective, improvements are still needed to enhance user loyalty and engagement.
Sentiment Analysis of Zalora Products on Google Play Store Using Random Forest Method: Analisis Sentimen terhadap Produk Zalora di Google Play Store Menggunakan Metode Random Forest Cendikiawan, Rizky Saputra; Ibrahim, Ali; Afrina, Mira; Kurnia, Rizka Dhini 
Indonesian Journal of Innovation Studies Vol. 26 No. 3 (2025): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i3.1401

Abstract

General Background: The rapid growth of e-commerce platforms has intensified the need to understand consumer sentiment to improve service quality and competitiveness. Specific Background: ZALORA, as a leading online fashion retailer in Southeast Asia, has accumulated vast user-generated feedback, particularly on platforms like the Google Play Store. Knowledge Gap: Despite the availability of such data, limited studies have analyzed consumer sentiment using machine learning methods specifically tailored to ZALORA’s mobile platform. Aims: This study aims to examine consumer sentiment toward ZALORA products and assess the effectiveness of the Random Forest algorithm in classifying sentiment. Results: Utilizing a quantitative approach, 1,200 user reviews were analyzed, with 63.5% expressing positive sentiment. Word cloud visualization supported this finding, revealing frequently mentioned terms such as “product,” “goods,” and “shopping.” The Random Forest model achieved an accuracy of 80%, with precision, recall, and F1-score values for positive sentiment all exceeding 0.80. Novelty: This research integrates TF-IDF-based preprocessing with Random Forest classification to enhance sentiment analysis performance specifically for mobile commerce reviews. Implications: The findings highlight the potential of machine learning in extracting actionable insights from user reviews, offering practical implications for improving customer experience and guiding strategic development in digital retail platforms. Highlights:   High accuracy (80%) achieved using Random Forest for sentiment classification. TF-IDF preprocessing significantly improved model performance. Word cloud analysis revealed key satisfaction indicators from users. Keywords: Sentiment Analysis, Random Forest Method, Zalora Consumers 
Taxpayer Classification Using K-Means Clustering to Support CRM Strategy Development: Case Study of Prabumulih City Samsat Tammam, Bimmo Fathin; Ibrahim, Ali; Indah, Dwi Rosa; Oklilas, Ahmad Fali; Utama, Yadi
Journal of Information System and Informatics Vol 7 No 4 (2025): December
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v7i4.1365

Abstract

Effective management of taxpayer data is crucial for enhancing compliance and optimizing regional revenue. This study addresses the limited use of data-driven taxpayer segmentation in local Samsat institutions by applying K-Means Clustering to support targeted Customer Relationship Management (CRM) strategies. A dataset of 3,999 motor vehicle taxpayer records from September 2025 was processed through feature selection, scaling, and clustering. The analysis identified three distinct taxpayer groups based on payment timeliness, compliance consistency, and vehicle age. Cluster validity was confirmed using the Davies-Bouldin Index, yielding a value of -41.327 for k = 3, supported by ANOVA for statistical significance. The findings highlight how clustering can reveal taxpayer behavior patterns, guiding personalized services and compliance programs. This study's novelty lies in integrating clustering outcomes with practical CRM strategies for public agencies, offering a data-driven approach to improve taxpayer engagement and regional revenue. However, the study is limited by its focus on a single-period dataset and vehicle-related attributes.
Analisis Sentimen Publik terhadap Kebijakan Perizinan Tambang untuk Ormas Keagamaan Menggunakan Algoritma SVM Alifayoezra, Muhammad Dzaky; Fathoni, Fathoni; Tammam, Bimmo Fathin; Putri, Septhia Charenda; Rizki, Raditya Dafa; Ibrahim, Ali
Jurnal Sains dan Informatika Vol. 11 No. 2 (2025): Jurnal Sains dan Informatika
Publisher : Teknik Informatika, Politeknik Negeri Tanah Laut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34128/jsi.v11i2.1785

Abstract

Penelitian ini menganalisis sentimen publik terhadap kebijakan pemberian Izin Usaha Pertambangan Khusus (IUPK) kepada organisasi masyarakat (ormas) keagamaan sebagaimana diatur dalam PP No. 25 Tahun 2024. Data diperoleh dari media sosial X (Twitter) dan diolah menggunakan algoritma Support Vector Machine (SVM) melalui tahapan crawling, preprocessing, translasi, pelabelan sentimen, dan ekstraksi fitur dengan metode N-gram. Dari 1245 data yang dianalisis, mayoritas memiliki sentimen netral (550 data), diikuti positif (475 data), dan negatif (219 data), dengan akurasi model mencapai 75,3%. Hasil ini menunjukkan bahwa publik cenderung berhati-hati dan menunggu kejelasan dari pemerintah terkait implementasi kebijakan tersebut. Penelitian ini merekomendasikan peningkatan komunikasi publik yang transparan dan penggunaan model berbasis deep learning untuk analisis lanjutan yang lebih akurat dan kontekstual.
Co-Authors . Apriansyah A Wendi Saputra AA Sudharmawan, AA Abdillah, Bimo Musthafa Acta, Muhammad Fakhri Nadrota Adriani, Nadia Saphira Afif, Hasnan Agil Furgaan Agil Kusuma, Dimas Ahmad Fali Oklilas Ahmad Fali Oklilas Ahmad Fali Oklilas Ahmad Fali Oklilas Ahmad Fali Oklilas Ahmad Hiera Maldanop Ahmad Nursodiq Ahmad Rifai Ahmad Rifai Akbar Adiprama, Faris Akbar Kurniawan, Iqbal Akbar, M. Willi Al Akbar, M. Rizki Al Farissi Albani, Muhammad Syarief Albukhori, M Rafli Alfitrah, Intan Aidita Ali Usman, Ali Alif Mustaqim Alifayoezra, Muhammad Dzaky Alisia Silver Stone Allsela Meiriza, Allsela Altahir, Ali Abdul Razzaq Alzaini, Akbar Amanda Ardhani, Dhita Amatullah, Shabrina Amelia, Putri Amerza, Rezki Anadia, Qothrunnada Wafi Ananda, Dea Tri Andini Bahri, Cheisya Angelia, Nadya Anggraini, Nadya Angie Silvanda Herman Anindya Putri, Salsa Annas Apreja Anne Trimaysella Annisa Turrahma Aqil Zidane, Muhammad Arafah, Siti Nur Ardhillah, Onky Ari Wedhasmara Arinie, Putri Mutiara Arsita, Resi Aryo De Wibowo Aslamiah, Iziah Astri Carolina Attika Putri, Shopi Audya, Meitiana Aulia, Cantika Ayu Triana Ayuningtiyas, Pratiwi Azmi Zaky, Muhammad Baidhawi, Alif Barata, Gusti Basulina, Nur Annisa Bayu Satria, Eka Bayu Wijaya Putra Cahya Aulia, Syifa Cendikiawan, Rizky Saputra Clark Peter Wijaya, Adley Damayanti, Risma Dea Tri Ananda Dedi Ramadhan Dedy Kurniawan Defiani, Nanda Dela Arum, Hestiana Delima, Rizki Della Audita Dessy yanti suryana Devi Indra Meytri Dhini Kurnia, Rizka Dicha Pratiwi Duffin Dwi Rosa Indah Dytha Ananda Widhiarso Edhar, Zeter Eka Afrianti Eka Darmayanti Simanullang Eka Lusyanti Marpaung Eka Saputra Elisa, Felia Sonya Elsya Moriesta Endang Lestari Endang Lestari Ruskan Epriyanti, Nadia Erma Novita Satyariza Ermatita Ermatita - Ermatita Ermatita Fachrozi, Muhammad Al Fachry, Muammar Fadilah Nur Imani Faiza, Aliya faizah, haniyah Fathoni Fathoni - Fathoni Fathoni Fathoni, Fathoni Fatihaturrahmah, Aisyah Fatmayanis, Kiki Febriando Tambunan Febriansyah, Dian Felicia, Yohana Fernando, Jose Fitriani, Lesa Fraternesi Fraternesi Furgaan, Agil Garcia Krisnando Nathanael Gultom, Gina Destia Gumay, Naretha Kawadha Pasema Gumay, Naretha Kawadha Pasemah Gusti Barata Gusti Barata Gustiani, Sindy Gustin Saputri Hadiansyah Ma'sum Hafiiz Kresna Prasetya Haidar Afif Mufid, Muhammad Handayani Putri Wardanny Hanggara, Bryan Hardini Novianti Hardini Novianti Hariza Marshella, Siti Hasbiallah, Muhammad Jidan Hedi Yunus Hedi Yunus Heliza Rahmania Hatta Hendrawan, Deni Agus Hijriani, Nurul Husaini Husaini Hyoga Hara Kusuma Ifan Setiawan Ikhda Uswatun Khasanah Ikhwan Najatafani, Bintang Iman Saladin B. Azhar Imani, Fadilah Nur Iredho Fani Reza Iredho Fani Reza Irwansyah, Aziiz Islamiansyah, Wira Ispahan, Tarisha Jiwany, Larasathi Jodi Pratama, Muhammad Juliyanti, Tamara Karisa Anjani Fakhri Ken Ditha Tania Khaerullah, Muhammad Khailani, Kgs M Luthfi Khairani, Annisa Khairun Nisak, Novrinda Khalisatifa, Aida Khasanah, Ikhda Uswatun Khoiriyah Harahap, Dayana Khoirunnisa, Ananda Kodri, Lay Kurnia, Rizka Dhini  Kurniawati, Junia kusmiarti, reni Kusuma Ningrum, Septiani Kusuma, Aisha Nuraini Lay Kodri Leonardi, Veronica Hertensia Lina Oktarina Liu, Michelle Lucky Hermanto, Muhammad Lukmanul Hakim M Andika Saputra M. Rudi Sanjaya Madyus Randikai Maldanop, Ahmad Hiera mansyur abdul hamid Maretta, Aulia Pinkan Mariska, Inneke Via Marjusalinah, Anna D. Maulindah, Rafika Maya Mardiana Meitiana Audya Meizalina, Mutiara Amalia Mgs Afriyan Firdaus Miftahul Falah Miftahul Jannah Mila astuti Mira Afrina Monita, Tisa Muammar Fachry Muhammad Hidayat Mauluddin Muhammad Rayhan Novello Musdiono - Naberi Oktaria Nabila Hidayati Nachwa, Syakillah Nadia Saphira Adriani Najwa Widasari, Yesya Nanda Defiani Napian, St Dhiah Raniah Naretha Kawadha Pasemah Gumay Nashiroh Ramadhani, Muthia Naufaldihanif, Rihan Ningsih, Rafika Octaria Nintyas, Vanda Ayu Nugraha, Allan Nugrahani, Henny Saptatia Drajati Nur'Aini, Risma Nurharisyah Hasibuan Nurhidayati, Yossi Nurseptiani, Alya Nurul Hijriani Nurullah Marina Kelana Okllilas, Ahmad Fali Olivia, Fanny Onkky Alexander Opi Hernayanti Pacu Putra Pakpahan, Jonathan Pasha, Zakirah Sabrina Putri Permana, Rizki Artinio Pradia Paramita Prasetia, Dika Prasetia Pratama Putra, Daffa Pratama, Muhammad Ramadhan Putra pratikto aditia wiguna Purwita dari Purwita Sari Purwita Sari, Purwita Putri Casanova, Musdalifa Putri Eka Sevtiyuni Putri Eka Sevtiyuni Putri, Amelia Rizki Putri, Septhia Charenda Rabbani, Muhammad Randy Rachmi Muti'ah Fadillah Rafif Nopyefa Rahmadini, Vira Putri Rahman, Abdul Ariga Rahman, Muhammad Fadhil Rahmat Izwan Heroza Rahmat Izwan Heroza Raihana Putri, Naila Ramadhan, Dedi Ramadhan, Fitrah Ramadhani Maulizidan, Muammar Randikai, Madyus Ratih Dewi Sari Resi resi Rezky, Muhammad Rezqe, Beriadi Agung Nur Rezqeb, Beriadi Agung Nur Riansyah, M Bintang Naufal Ricy Firnando Rielisa Putri, Adetya Rika Septiana Risma Damayanti Risyahputri, Aliyananda Ritonga, Torkis Rizka Dhini Kurnia Rizka Dhini Kurnia Rizka Dhini Kurnia Rizka Dhini Kurnia Rizka Mumtaz, Fadia Rizki, Raditya Dafa Rizkyllah, Anabel Fiorenza Rofiqul Rahman Ramadhan Rositiani, Ely Ruki, Taufik Rahman Rusdi Efendi Sabila, Amalia Sabilla Janna, Andin Sadjijo, Priyono Salsabila, Lulu Salsabillah S, Syalwa Samsuryasi, Samsuryasi Samudra, Muhammad Bayu Sanjaya, M. Rudi Saputra, Marco Saputra, Yopis Sari, Ratih Dewi Sartika Sartika Sartika Sartika Sasmita, Ruth Mei Satria Alva Ardana Satyariza, Erma Novita Savero, Muhammad Juan Selviani Selviani Seprina, Iin Septiana, Rika Septiana Septiani Aulia Putri Setia, Arvhi Randita Setiawan, Ifan Sevtiyuni, Putri Eka Shabrina Amatullah Shahabiyah, Alifa Putri Shifa Maharani, Wardah Siregar, Richi Nauli Juniarto Siswahyudianto Siti Raisah Adilah Sitorus, Herdiyanti Ratiningsih Situmorang, Ruth Christin Aprilia Sofita, Yunia Ruwanna St Dhiah Raniah Napian Suci Amalia Sulaiman , Ahmad Riski Supaidi, Ahmad Syafitri, Hidayah Syahputra, M Fathan Aqilah Tammam, Bimmo Fathin Tanti Hidayah Tasya Permata Listi Tea Anggelah Theonady, Oktavio Theresia Pardede, Eva Therina Lakeisyah, Eka Thuraya, Zafira Tio Suhada Tisa Monita Tri Zafira, Zahra Turrahma, Annisa Umi Pertiwi Valentino, Albert Amadeus Vanda Ayu Nintyas Vinolia Vinolia Viola Alfheny Wibowo, Suluh Arif Widhiarso, Dytha Ananda Winny Dea Monica Wirnanti, Rintan Wiwit Widhya Yadi Utama Yadi Utama Yadi Utama Yadi Utama Yadi Utama Yadi Utama Yelli Nur Alinda Yeremia Wiratama Yona Saymona Yopis Saputra Yossi Nurhidayati Yudha Pratomo Yunia Ruwanna Sofita Yunita Faujiyah Yunus, Hedi Yunus, Hedi Yusmaniarti Zahirah, Nabilah Zahran, Ahmad Hafizh Zaini, Akbar Al Zefta Adetya Zhafiri, Muhammad Farisan Zufiyardi Zufiyardi Zulfadhli Syarif Zurfi, Ahmed