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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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Analisis Asosiasi Pola Perilaku Kerja Karyawan Work From Home Untuk Identifikasi Burnout Berdasarkan FP-Growth Rabbani, Muhammad Randy; Bayu Satria, Eka; Fathoni; Ibrahim, Ali
Buffer Informatika Vol. 12 No. 1 (2026): 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.v12i1.568

Abstract

Perkembangan kerja jarak jauh melalui Work From Home (WFH) memberikan fleksibilitas bagi karyawan, namun juga berpotensi menimbulkan pola kerja yang tidak seimbang dan meningkatkan risiko burnout. Permasalahan tersebut mendorong perlunya analisis yang mampu mengidentifikasi kombinasi perilaku kerja yang berkaitan dengan tingkat burnout secara lebih komprehensif. Penelitian ini bertujuan untuk menganalisis pola asosiasi perilaku kerja karyawan selama WFH dalam mengidentifikasi risiko burnout menggunakan algoritma FP-Growth. Dataset publik dari Kaggle diolah melalui tahapan Knowledge Discovery in Database (KDD), meliputi seleksi data, praproses, transformasi data, penerapan FP-Growth, pembentukan association rule, dan evaluasi menggunakan support, confidence, serta lift. Hasil penelitian menunjukkan bahwa pola dengan screen_time_hours rendah, breaks_taken tinggi, work_hours rendah, dan meetings_count rendah cenderung berasosiasi dengan burnout_risk rendah. Seluruh aturan yang dihasilkan memiliki nilai confidence tinggi, yaitu 0,872–0,907, serta nilai lift di atas 1, yang menunjukkan hubungan positif antarvariabel. Dengan demikian, FP-Growth efektif digunakan untuk mengidentifikasi pola perilaku kerja yang berkaitan dengan risiko burnout pada karyawan WFH.
Classification of Depression Severity Using a Random Forest Algorithm Based on Lifestyle, Demographic, and Psychological Factors faizah, haniyah; Theonady, Oktavio; Salsabillah S, Syalwa; Fathoni; Ibrahim, Ali
Buffer Informatika Vol. 12 No. 1 (2026): 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.v12i1.569

Abstract

Depression among college students is a mental health issue that impacts quality of life and academic performance. However, factors influencing depression levels such as lifestyle, demographics, and psychological factors have not yet been analyzed in an integrated manner. This study aims to develop a depression severity classification model using the Random Forest algorithm based on these factors. The dataset consists of 1,998 records with 16 features selected through the Knowledge Discovery in Database (KDD) process. To address data imbalance, the Synthetic Minority Over-sampling Technique (SMOTE) was applied. The results show that the Random Forest model achieved an accuracy of 97.88% and an AUC of 0.998. Feature importance analysis indicates that the variables Symptoms, Nervous Level, and Employment Status are dominant factors in determining depression levels. Based on these results, the model is capable of effectively classifying depression levels and has the potential to serve as the basis for an early detection system in the university setting.
Analisis Pola Keputusan Pembelian di Tokopedia berbasis Machine Learning untuk Customer Relationship Management Sabilla Janna, Andin; Juliyanti, Tamara; Samudra, Muhammad Bayu; Ibrahim, Ali; Fathoni
Buffer Informatika Vol. 12 No. 1 (2026): 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.v12i1.571

Abstract

Pertumbuhan pesat platform e-commerce telah memengaruhi keputusan pembelian konsumen, khususnya pada marketplace seperti Tokopedia. Penelitian ini bertujuan menganalisis pola keputusan pembelian produk makanan dan minuman serta merumuskan implikasinya terhadap strategi Customer Relationship Management (CRM) berbasis data. Metode yang digunakan adalah pendekatan kuantitatif dengan dataset sebanyak 9.711 ulasan pelanggan yang diperoleh melalui Kaggle. Analisis dilakukan menggunakan Naive Bayes untuk klasifikasi keputusan pembelian ulang dan FP-Growth untuk menemukan pola asosiasi antara rating, harga, dan keputusan pembelian. Tahapan praproses meliputi pembersihan data, transformasi atribut, diskretisasi, serta pemrosesan teks menggunakan TF-IDF. Hasil penelitian menunjukkan bahwa Naive Bayes menghasilkan akurasi 60,18% dengan precision kelas Y sebesar 94,30%, namun recall masih dipengaruhi oleh ketidakseimbangan data. FP-Growth menunjukkan bahwa rating bintang 5 merupakan faktor paling dominan dalam pembelian ulang, dengan kombinasi rating bintang 5 dan harga sedang menghasilkan confidence tertinggi sebesar 98,6%. Temuan ini menegaskan pentingnya kepuasan pelanggan dan mendukung perumusan strategi CRM yang lebih terarah.
AN EDUCATIONAL GAME APPLICATION TO ASSIST THE COMMUNITY IN REMEMBERING ROAD DIRECTIONS AND PLACES IN PALEMBANG Angelia, Nadya; Jannah, Miftahul; Valentino, Albert Amadeus; Liu, Michelle; Ibrahim, Ali
Jurnal Riset Informatika Vol. 4 No. 1 (2021): December 2021
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1283.31 KB) | DOI: 10.34288/jri.v4i1.138

Abstract

Visuospatial processing is one of the important aspects of everyday life, whether it is to travel or to recognize the location of objects around. Visuospatial processing can be improved in various way, one of which is by using repetition. WorldVenture app was created to help its users improve their visuospatial capability by remembering landmarks in the city where they live. WorldVenture was created using flutter framework with five steps, namely literature study, data and information collection, application designing, testing, and evaluation. This app will have three main features: Flashcard, Quiz, and Notes. WorldVenture testing result, using questionnaires, showed 64,5% people out of 30 respondents rated WorldVenture excellent for improving visuospatial capabilities and as many as 35.5% of respondents rated it good.
IMPLEMENTATION OF ELECTRONIC CUSTOMER RELATIONSHIP MANAGEMENT IN THE DONATION SERVICE INFORMATION SYSTEM Ibrahim, Ali; Rezqeb, Beriadi Agung Nur
Jurnal Riset Informatika Vol. 4 No. 2 (2022): March 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (929.492 KB) | DOI: 10.34288/jri.v4i2.152

Abstract

LAZNAS LMI Regional Office of South Sumatra is an institution engaged in the field of religion and humanity. One of the services provided by the LMI Regional Office of South Sumatra is a donation service. However, the service is still not effective and efficient. Based on the results of the questionnaire on donation services at the LMI Regional Office of South Sumatra, the calculation results. obtained Net Promoter Score1 of -61.6% which indicates a negative value. This shows the need to improve donation services in order to create loyalty. The E-CRM concept aims to provide satisfaction and increase loyalty. Therefore we need a donation service information system that can make it easier for both LMI and donors. As well as a measurement that measures the loyalty of donors using the Net Promoter Score calculation method and the FAST system development method. From the measurement results of Net Promoter Score2, the calculation results are 77%, this shows that the loyalty of donors has increased towards the improvement of donation services at LMI Regional Office of South Sumatra.
Prediksi Lead Scoring untuk Optimasi Penjualan Menggunakan Random Forest dan Teknik SMOTE Pratama Putra, Daffa; Agil Kusuma, Dimas; Al Akbar, M. Rizki; Ibrahim, Ali; Fathoni, Fathoni
JURNAL FASILKOM Vol. 16 No. 1 (2026): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v16i1.11292

Abstract

Accurate lead scoring systems have become a strategic necessity for organizations operating in data-driven marketing environments, as they enable systematic identification of high-value customer prospects to maximize sales conversion efficiency. A fundamental challenge confronting conventional classification models is the class imbalance inherent in real-world marketing data, which induces majority-class bias and substantially reduces sensitivity toward minority-class prospects. This study proposes a Random Forest (RF)-based lead scoring prediction model integrated with the Synthetic Minority Over-sampling Technique (SMOTE) to address this limitation systematically. The dataset employed is the Lead Scoring Dataset from Kaggle, comprising 9,240 customer prospect records from an educational company with a class imbalance ratio of 1.59:1. Preprocessing included missing value treatment, removal of attributes exceeding 40% data loss, mode-based imputation, and categorical feature encoding. Following an 80:20 stratified split, SMOTE was applied exclusively to the training set to produce a balanced class distribution and prevent data leakage. The RF model was configured with n_estimators = 100, max_features = 'sqrt', and class_weight = 'balanced'. The proposed RF+SMOTE model achieved accuracy of 88.80%, precision of 86.44%, recall of 84.13%, F1-Score of 85.27%, and AUC-ROC of 0.9453, outperforming the baseline across four of five evaluation metrics. The most notable improvement was observed in recall, with a gain of 1.26 percentage points. Stratified 5-Fold Cross-Validation confirmed robust generalization capability, with AUC-ROC values consistently ranging between 94% and 95%. These findings demonstrate that the hybrid RF+SMOTE approach effectively enhances high-potential prospect detection while maintaining overall model stability for real-world Customer Relationship Management (CRM) deployment.
Identifikasi Pola Fraud pada Ekosistem Pembayaran Digital menggunakan Metode Isolation Forest Akbar, M. Willi; Kusuma Ningrum, Septiani; Afrina, Mira; Ibrahim, Ali
Jurnal Informatika dan Teknologi Komputer (J-ICOM) Vol 7 No 01 (2026): Jurnal Informatika dan Teknologi Komputer ( J-ICOM)
Publisher : E-Jurnal Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55377/j-icom.v7i01.13622

Abstract

Transformasi menuju ekonomi digital di Indonesia dihadapkan pada tantangan krusial berupa meningkatnya serangan fraud yang semakin canggih. Penelitian ini mengajukan sebuah pendekatan unsupervised learning untuk mengenali pola serangan fraud generasi baru sebagai dasar penguatan kapasitas supervisi institusional. Penelitian ini berfokus pada identifikasi anomali tanpa bergantung pada label historis yang ada dengan memanfaatkan algoritma ensemble Isolation Forest. Model berhasil memetakan karakteristik transaksi yang mencurigakan berkat penerapan rekayasa fitur yang mendalam, yang mencakup analisis perilaku, korelasi alamat, dan ekstraksi sinyal dari IP. Hasil evaluasi menunjukkan bahwa pendekatan unsupervised ini mampu mengidentifikasi 18% dari total kasus fraud yang telah dilabelkan, membuktikan relevansinya dalam menangkap sinyal serangan yang sesungguhnya. Lebih penting lagi, analisis kualitatif terhadap anomali yang ditemukan berhasil mengkarakterisasi sebuah Pola Serangan Senyap, yaitu kombinasi multi-faktor risiko yang berpotensi terlewatkan oleh sistem deteksi konvensional. Temuan ini menyajikan sebuah wawasan baru bagi institusi regulator untuk beralih dari supervisi reaktif ke penemuan ancaman proaktif, yang pada akhirnya mendukung terciptanya ekosistem keuangan digital yang aman dan berkelanjutan sejalan dengan Tujuan Pembangunan Berkelanjutan (SDGs).
Development of a Flask-based Application for Bank Customer Churn Prediction as a Decision Support Tool Wibowo, Suluh Arif; Rezky, Muhammad; Ibrahim, Ali; Afrina, Mira; Fathoni, Fathoni
Sistemasi: Jurnal Sistem Informasi Vol 15, No 4 (2026): 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.v15i4.6257

Abstract

Customer churn prediction is a crucial aspect of the banking industry for maintaining customer loyalty and reducing the cost of acquiring new customers. This study aims to develop a web-based decision support system capable of predicting potential customer churn using the Gradient Boosting Machine (GBM) algorithm. The dataset used is the Bank Customer Churn Dataset, consisting of 10,000 customer records with 14 attributes. The research stages include exploratory data analysis and preprocessing, which involves data cleaning, categorical feature encoding, feature engineering (BalanceSalaryRatio, TenureByAge, CreditScoreGivenAge), and data balancing using SMOTE to address class imbalance. The GBM model was trained on the balanced dataset and evaluated using accuracy, precision, recall, and F1-score metrics. The evaluation results show that the model achieved an accuracy of 83.95%, with a recall of 67.32% for the churn class, indicating a strong capability in identifying customers at risk of churn. Feature importance analysis reveals that Age and NumOfProducts are the most dominant features, contributing approximately 77% to the prediction. The model was then implemented in a Flask-based web application with an HTML and CSS interface, enabling non-technical users to perform real-time churn predictions. This system is expected to assist banking institutions in designing more targeted and data-driven customer retention strategies.
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