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All Journal Jurnal Teknologi Industri Pertanian JUTI: Jurnal Ilmiah Teknologi Informasi Seminar Nasional Informatika (SEMNASIF) JOIN (Jurnal Online Informatika) Abdimas Pedagogi: Jurnal Ilmiah Pengabdian kepada Masyarakat JOIV : International Journal on Informatics Visualization Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat Jurnal Ecodemica : Jurnal Ekonomi Manajemen dan Bisnis Jurnal Teknik Informatika STMIK Antar Bangsa JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Ekonomi, Manajemen Akuntansi dan Perpajakan (Jemap) J I M P - Jurnal Informatika Merdeka Pasuruan Applied Information System and Management Jurnal Teknoinfo JURNAL PENDIDIKAN TAMBUSAI Jurnal Nasional Komputasi dan Teknologi Informasi Energi & Kelistrikan Indonesian Journal of Applied Informatics Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Jurnal Literasiologi CSRID (Computer Science Research and Its Development Journal) Industri Inovatif : Jurnal Teknik Industri Jurnal Ilmu Komputer dan Bisnis Aisyah Journal of Informatics and Electrical Engineering Jurnal Sistem Informasi dan Informatika (SIMIKA) Journal of Innovation and Future Technology (IFTECH) TIN: TERAPAN INFORMATIKA NUSANTARA JURNAL AKTUAL AKUNTANSI KEUANGAN BISNIS TERAPAN (AKUNBISNIS) Journal of Intelligent Computing and Health Informatics (JICHI) Jurnal Sistem Informasi Journal of Industrial and Engineering System Jurnal Sains Indonesia Bulletin of Computer Science Research Journal of Students‘ Research in Computer Science (JSRCS) Journal Software, Hardware and Information Technology Jurnal Media Informatika JURNAL ELEKTRO DAN INFORMATIKA SWADHARMA (JEIS) Jurnal Mandiri IT J-Intech (Journal of Information and Technology) Jurnal Pustaka Mitra : Pusat Akses Kajian Mengabdi Terhadap Masyarakat Jurnal Pustaka Data : Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitektur Komputer Jurnal Sains dan Teknologi Jurnal Sains Informatika Terapan (JSIT) Paradigma Indonesian Journal Computer Science (ijcs) Jurnal Ilmiah Teknik Informatika dan Komunikasi Innovative: Journal Of Social Science Research Jurnal Komputer dan Teknologi (JUKOMTEK) CHAIN: Journal of Computer Technology, Computer Engineering and Informatics Jurnal Ilmiah Sistem Informasi Bulletin of Artificial Intelligence Riau Jurnal Teknik Informatika International Journal of Education, Vocational and Social Science Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK) Journal of Information Technology Jurnal Teknoinfo Komputasi : Jurnal Ilmiah Ilmu Komputer dan Matematika Jurnal Ilmiah Sistem Informasi Akuntansi (JIMASIA) Jurnal Teknik Informatika dan Teknologi Informasi
Sumanto Sumanto
Universitas Bina Sarana Informatika, Indonesia
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Supplier Selection Very Small Aperture Terminal using AHP-TOPSIS Framework Sumanto, Sumanto; Indriani, Karlena; Marita, Lita Sari; Christian, Ade
Journal of Intelligent Computing & Health Informatics Vol 1, No 2 (2020): September
Publisher : Universitas Muhammadiyah Semarang Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jichi.v1i2.6290

Abstract

There are several methods of decision making VSAT IT goods suppliers such as: Promethee, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Analytical Hierarchy Process (AHP). Decision-making in the selection of the best suppliers, we have the basis of assessment criteria, and we will also be faced with more than one alternative. If alternatives are only two, maybe still easy for us to choose, but if the alternative is a lot of choice, it is quite difficult for us to decide. Analytical Hierarchy Process (AHP) is a technique that was developed to help overcome this difficulty, because the Analytical Hierarchy Process (AHP) is a form of decision-making model with many criteria. One of the reliability of the Analytical Hierarchy Process (AHP) is able to perform simultaneous analysis and integrated between the parameters of qualitative or quantitative. In this study the authors use six criteria and alternatives 6, the results of these alternatives will be obtained perangkingan alternative used as a reference supplier selection VSAT IT goods company Total EP Indonesie
Pengembangan Sistem Deteksi Objek Botol Real-Time dengan YOLOv8 untuk Aplikasi Vision Triyanto, Dedi; Zidan, Muhammad; Wahyudi, Mochamad; Pujiastuti, Lise; Sumanto, Sumanto
Indonesian Journal Computer Science Vol. 3 No. 1 (2024): April 2024
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/ijcs.v3i1.6070

Abstract

Plastik daur ulang berperan penting dalam menanggulangi masalah limbah lingkungan sekaligus mendukung praktik keberlanjutan. Penelitian ini bertujuan mengembangkan sistem deteksi botol plastik dan kaleng daur ulang secara real-time menggunakan algoritma YOLOv8 yang terkenal akan kecepatan dan akurasinya. Dengan memanfaatkan dataset yang terdiri dari 2.900 gambar dan melatih model melalui Google Colab selama 25 epoch, penelitian ini berhasil menunjukkan performa luar biasa dari YOLOv8, dengan hasil mAP sebesar 99,5%, precision 99,7%, dan recall 99,5%. Model ini terbukti sangat efektif dalam mendeteksi objek daur ulang, memberikan prediksi yang tepat tanpa kesalahan negatif pada confusion matrix. Untuk penelitian lanjutan, disarankan menambah variasi kelas objek seperti botol kaca dan karet serta memperluas dataset guna meningkatkan generalisasi model. Selain itu, pengujian dalam kondisi nyata sangat diperlukan untuk memastikan kinerja optimal dalam lingkungan yang lebih kompleks. Pendekatan serupa dalam penelitian sebelumnya juga telah membuktikan kinerja unggul dalam deteksi real-time, menjadikan metode ini salah satu yang terdepan dalam pengembangan teknologi berbasis YOLO.
Deteksi dan Prediksi Cerdas Penyakit Paru-Paru dengan Algoritma Random Fores Kurniawan, Deny; Wahyudi, Mochamad; Pujiastuti, Lise; Sumanto, Sumanto
Indonesian Journal Computer Science Vol. 3 No. 1 (2024): April 2024
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/ijcs.v3i1.6071

Abstract

Penyakit paru-paru, seperti COPD, kanker paru-paru, dan asma, adalah masalah kesehatan global yang menyebabkan lebih dari tujuh juta kematian setiap tahun. Teknologi canggih, termasuk model deep learning dan algoritma Random Forest, telah digunakan secara efektif untuk mendeteksi dan mengklasifikasikan penyakit paru-paru dari data pencitraan dengan akurasi tinggi. Penelitian ini bertujuan menunjukkan efektivitas algoritma Random Forest dalam memprediksi penyakit paru-paru. Dataset yang digunakan terdiri dari 30.000 data dengan 11 atribut, diperoleh dari Kaggle dan diproses menggunakan perangkat lunak Orange versi 3.36.2. Algoritma Random Forest diimplementasikan dengan 10 pohon keputusan dan enam atribut yang dipertimbangkan pada setiap pembagian data. Model ini diuji menggunakan validasi silang dengan 10 lipatan, dan hasil pengujian menunjukkan nilai AUC sebesar 0,993, yang mengindikasikan tingkat akurasi yang sangat tinggi. Matriks kebingungan digunakan untuk mengevaluasi kinerja model, dengan mengukur akurasi, presisi, recall, F1-Score, dan AUC. Model ini menunjukkan akurasi yang tinggi, dengan nilai ROC AUC 0,453 untuk prediksi adanya penyakit paru-paru dan 0,547 untuk prediksi ketiadaan penyakit paru-paru. Hasil ini menunjukkan bahwa algoritma Random Forest dapat menjadi alat yang efektif dalam mengidentifikasi penyakit paru-paru. Penelitian ini berkontribusi pada pengembangan teknik diagnostik yang lebih akurat dan efisien, yang dapat membantu tenaga medis dalam mendiagnosis penyakit paru-paru pada pasien. Dengan pemahaman yang lebih baik tentang penerapan algoritma ini dalam dunia kesehatan, diharapkan dapat meningkatkan kualitas diagnosis dan perawatan pasien secara signifikan.
The Role of Marketing Entrepreneur Ability Values in Building Student Entrepreneurship Performance: The Case of Student Business Incubation Program: The Role of Marketing Entrepreneur Ability Values in Building Student Entrepreneurship Performance: The Case of Student Business Incubation Program Andi Setiawan; Hartono Hartono; Retno Winarti; Sulistyo Sulistyo; Sumanto Sumanto
International Journal of Education, Vocational and Social Science Vol. 2 No. 02 (2023): May, International Journal of Education, vocational and Social Science (IJEVSS
Publisher : Cita konsultindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijevss.v2i02.303

Abstract

This study is interested in analyzing marketing entrepreneur ability value in influencing entrepreneurship performance. Our study views that marketing hard skills and marketing soft skills are not enough to be a lever factor for Entrepreneurship Performance. The results of research on 237 samples using structural equation modeling revealed the findings of marketing hard skills and marketing soft skills can maximize their role in entrepreneurship performance if both types of marketing competencies can develop marketing entrepreneur ability value as a valuable resource capital for the company.
The Effects of Service Quality and Customer Relationship Management on Customers' Loyalty at ICTel Idha Rizqi Pratiwi; Sumanto, Sumanto; Hartono, Hartono
International Journal of Education, Vocational and Social Science Vol. 3 No. 04 (2024): November, International Journal of Education, Vocational and Social Science( I
Publisher : Cita konsultindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijevss.v3i04.1238

Abstract

The rapid development of information and communication technology has significantly impacted various sectors, including the industrial sector. But, PT Infrastruktur Cakrawala Telekomunikasi (ICTel) faces challenges in increase and achieving 100% usage among tenants. In fact, this target must be achieved in 2025. This study investigates the effects of service quality and customer relationship management (CRM) on customers’ loyalty at PT Infrastruktur Cakrawala Telekomunikasi (ICTel). The research employs a quantitative methodology, utilizing surveys to collect data from ICTel customers in Kendal Industrial Estate. The data is analyzed using multiple liniear regression with SPSS 20 to determine the effects between the variables. The results indicate that both service quality has significant effect on customers’ loyalty and customer relationship management has no significant effect on customers’ loyalty. The findings suggest to maintain ICTel’s service quality and fostering customer relationship management to get higher customers’ loyalty, providing valuable insights for ICTel and the future researchers as well. Keyword: service quality, customer relationship management, customer loyalty
Development of a Decision Support System Based on New Approach Respond to Criteria Weighting Method and Grey Relational Analysis: Case Study of Employee Recruitment Selection Megawaty, Dyah Ayu; Damayanti, Damayanti; Sumanto, Sumanto; Permata, Permata; Setiawan, Dandi; Setiawansyah, Setiawansyah
JOIV : International Journal on Informatics Visualization Vol 9, No 1 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.1.2744

Abstract

The purpose of this research is to propose a new approach in the criteria weighting method using the RECA method, the RECA method can help provide a systematic and structured framework for determining criteria weights in multi-criteria decision making. The determination of weights using the RECA method is to increase objectivity and accuracy in the candidate assessment and selection process by determining the appropriate weight for each criterion based on responses and assessments from experts or stakeholders. Testing the RECA Method with Multi Attribute Decision Making (MADM) techniques is an important step in measuring the effectiveness of the RECA Method in the context of multi-criteria decision making. Ranking tests using Spearman correlation between the RECA method and other methods such as SAW with a correlation value of 1, MOORA with a correlation value of 0.9636, MAUT with a correlation value of 0.9515, WP with a correlation value of 0.891, SMART with a correlation value of 0.9636, and TOPSIS with a correlation value of 0.8788 show a high level of rank consistency between the RECA method and these methods. This indicates that the RECA Method has a strong ability to generate similar candidate rankings with other methods, validating its reliability and consistency in the context of multi-criteria decision making. Implications for further research include exploring the application of the RECA method in different decision-making contexts other than recruitment, such as performance evaluation, project selection, or supplier selection. Further research could investigate the integration of the RECA method with other decision-making methods or algorithms to improve its performance and applicability in complex decision environments. Comparative studies with larger sample sizes and diverse datasets can provide deeper insights into the effectiveness and reliability of the RECA method compared to other methods.
INTERAKSI TEMANSEBAYA DALAM MENINGKATKAN HASILBELAJAR PENDIDIKAN AGAMA ISLAM PADA SUKU ANAK DALAM DI BUKIT DUA BELAS, KECAMATAN AIR HITAM, KABUPATEN SAROLANGUN, PROVINSI JAMBI Tabrani, Tabrani; Sumanto, Sumanto; Suparno, Suparno; Darmawi, Darmawi
Jurnal Literasiologi Vol 13 No 1 (2025): Jurnal Literasiologi
Publisher : Yayasan Literasi Kita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47783/literasiologi.v13i1.882

Abstract

Interaksi teman sebaya memiliki peran penting dalam meningkatkan hasil belajar, terutama dalam konteks masyarakat adat seperti Suku Anak Dalam (SAD) yang bermukim di Bukit Dua Belas, Kecamatan Air Hitam, Kabupaten Sarolangun. Pendidikan Agama Islam (PAI) bagi komunitas ini menghadapi berbagai tantangan, termasuk keterbatasan akses pendidikan, minimnya tenaga pendidik, serta rendahnya keterlibatan orang tua dalam proses pembelajaran. Penelitian ini bertujuan untuk menganalisis bagaimana interaksi teman sebaya berkontribusi terhadap peningkatan hasil belajar PAI di kalangan siswa SAD. Metode penelitian yang digunakan adalah pendekatan kualitatif dengan teknik wawancara, observasi, dan studi dokumentasi. Hasil penelitian menunjukkan bahwa interaksi teman sebaya membantu meningkatkan motivasi belajar, memperkuat pemahaman materi, serta membangun rasa percaya diri dalam memahami nilai-nilai Islam. Oleh karena itu, diperlukan strategi pendidikan yang lebih inklusif dan berbasis komunitas untuk memaksimalkan peran interaksi teman sebaya dalam mendukung pembelajaran PAI bagi masyarakat SAD.
An Entropy-Assisted COBRA Framework to Support Complex Bounded Rationality in Employee Recruitment Oprasto, Raditya Rimbawan; Wang, Junhai; Pasaribu, A Ferico Octaviansyah; Setiawansyah, Setiawansyah; Aryanti, Riska; Sumanto
Bulletin of Computer Science Research Vol. 5 No. 3 (2025): April 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i3.505

Abstract

In the employee recruitment process, decision-making often involves many criteria and relies on the subjective judgment of the decision-maker. The main problem lies in how to develop a decision support system that can overcome this complexity while maintaining rationality and objectivity. This study aims to apply a hybrid framework based on the entropy and COBRA methods to support objective decision-making in the employee recruitment process, and to overcome the limitations of subjectivity and bounded rationality in candidate selection with a structured data-driven approach. The entropy method is used to objectively determine the weight of criteria based on data variations, thereby helping to reduce subjectivity in decision-making and increase the rationality of COBRA analysis results. The results of the final calculation using the Entropy-COBRA method, were ranked nine candidates based on their final scores which reflected relative proximity to the ideal solution in the recruitment process. The candidate with the lowest score is considered to be the closest to the ideal solution and has the best overall performance. Raka employees ranked first with a final score of -0.0618, followed by Andra in second place with a score of -0.0597, and Fajar in third place with -0.0357. The results of the final score in the COBRA method with a lower score indicate that an alternative shows superior performance over the other. This framework makes a real contribution to data-driven decision-making for human resource management, particularly in the context of recruitment involving multiple criteria and alternatives.
Analisa Pola Penyebaran Pengguna Layanan Transjakarta dengan Metode K-Means Clustering Reynaldi , Reynaldi; Faiz Djarot, Raihan Jamal; Wahyudi, Mochamad; Sumanto , Sumanto; Budiman, Ade Surya
Journal Software, Hardware and Information Technology Vol 5 No 2 (2025)
Publisher : Jurusan Sistem Informasi Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/shift.v5i2.205

Abstract

This study analyzes the spatial distribution patterns of Transjakarta service users in Jakarta using the K-Means Clustering algorithm. The dataset, obtained from the Kaggle platform, consists of 189,501 passenger transaction records, including tap-in and tap-out locations, travel times, and user-related information. The research process involves data collection, preprocessing to remove missing values, application of the K-Means Clustering algorithm, and determination of the optimal number of clusters using the elbow method. Based on the analysis, the optimal number of clusters is identified as four (K=4). A scatter plot visualization presents user distribution patterns based on geographic coordinates and service usage times. Each cluster represents a group of users with similar travel characteristics. This analysis results in a segmentation that reflects variations in Transjakarta passenger mobility patterns and illustrates how travel activity is distributed across spatial and temporal dimensions within the urban area of Jakarta.
Pengelompokkan Provinsi Berdasarkan Kelayakan Ruang Kelas dan Tenaga Kependidikan Sekolah Dasar Menggunakan Algoritma K-Means: Analisi Data Periode 2023-2024 Wardani, Maidy Tri; Ramadhani, Varla Octavia; Anggreani, Namira; Sumanto; Kuswanto, Andi Diah
Riau Jurnal Teknik Informatika Vol. 4 No. 2 (2025): Juli 2025
Publisher : Prodi Teknik Informatika Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v4i2.3389

Abstract

Abstract This study analyzes the disparity in primary education quality across Indonesian regions using K-Means clustering methodology to group 38 provinces based on classroom adequacy indicators and teaching staff availability for the 2023-2024 period. Adopting the CRISP-DM methodology and utilizing datasets from the Ministry of Education, Culture, Research, and Technology, this research reveals significant educational gaps across Indonesian regions. The analysis results show three clusters reflecting educational conditions: Cluster 1 (low category) encompasses 23 provinces (67.6%) dominated by Eastern Indonesia regions such as Papua, Maluku, and other remote areas; Cluster 2 (medium category) consists of 13 provinces (38.2%) including South Sumatra, Riau, and DKI Jakarta; and Cluster 3 (high category) contains only 3 provinces: East Java, West Java, and Central Java. Clustering validity is confirmed through silhouette coefficient with the highest value of 0.795 for Cluster 2. These findings identify structural inequality between Java and outer Java regions, providing empirical foundation for the government to design more targeted educational equity policies, with priority on infrastructure rehabilitation and teaching staff augmentation in disadvantaged areas to achieve national educational justice. The research demonstrates that educational quality distribution in Indonesia remains heavily concentrated in Java, while remote and eastern regions face significant challenges in both physical infrastructure and human resources, requiring comprehensive government intervention strategies for sustainable educational development. Keywords: K-Means clustering, primary education, regional disparity, educational infrastructure, teaching personnel.
Co-Authors Abdurrachman, Qais Achmad Rivai Syahputra Achmes Dade Ramadani Ade Budiman, Ade Ade Christian Adhiani, Budhi Adi Pangestu Adi Supriyatna Adinugroho, Wisnu Aditia Yudhistira Agung Wibowo Agus Buono Agus Santoso Ahmad Habibullah Ahmad Rais Ruli ahmad yani Ahmad Yani Ahmad Yani Ahmad Yani , Ahmad Yani Alamsyah, Muhammad Arkan Alghifar Firgiawan Alghiffary, Muhammad Adya Ali Mahmudi Ali, Muhamad Hafis Ali, Satrio Nur Alwan Kapi Muntaha Alya Avisa Andi Diah Kuswanto Andi Setiawan Andika Amansyah Andri Amico Anggreani, Namira Anita Adelia Syahfitri Antony Pangaribuan, Rizky Daud Apip Supiandi Aprillia, Dinda Aprilyanto, Ryan Dwi Ardiyansyah, Rizqi Ari Sulistiyawati Ari Sulistiyawati Ariskawati, Mila Arshad, Muhammad Waqas Arya, Yudi Asmawati Asmawati Asy'ari, Muhammad Rifqi Audy Aulia Azzahra Aulia Rachmat, Daffa Azkia, Farah Diba Bib Paruhum Silalahi Bismo Raharjo, Yohanes Aryo Budhi Adhiani Budhi Adhiani Christina Budi Santoso Budiman, Ade Surya Cahya, Titus Dwi Cahyani Ayu Sulistyawati Damayanti Damayanti Darmawi . Dedi Darwis Dedi Triyanto Dedi Triyanto Deny Kurniawan DENY KURNIAWAN Desiana Nuranudin Putri Dewi, Revinta Arrova Diah, Andi Dyah Ayu Megawaty Dyani Kalyana Mitta Eka Dyah Setyaningsih Eka Putri Alvi Syahrina Elisabeth Sri Hendrastuti Erlangga Rizki Ekaptra Faatin, Safinah Fahrian Fahroni, Aldiwa Alfa Thira Nur Faiz Djarot, Raihan Jamal Fajar Akbar Fajar Yoga Adiansyah Fajrian, Ihsan Fardha Hasykir Farhan Fadhilah Faris Syahrendra Farras Hilmy Ibrahim Faruk Ulum Fathur Rismansyah Fauzan Nawwir Andriansyah Fauzan, Muhammad Indra Ganda Wijaya Ganda Wijaya, Ganda Ghofar Taufiq Gibran, Muhamad Rendi Ginting Wibi Prasetyo Gustian, Riansyah Hafis Nurdin Harianto Harianto Hariyanto Hariyanto HARIYANTO HARIYANTO Hartanti Hartanti Hartono Hartono Heni Nur Kusumawati Hernawan, Muhammad Hendra Hidayat Putra, Rifki Nur Idha Rizqi Pratiwi Imam Budiawan Imam Budiawan Imam Wahyudi Indra Chaidir, Indra Indra, Ahmad Indriani , Karlena Indriyanti, Zahra Kiky Dwi Insani Abdi Bangsa Iqro Mukti Arto Jefina Tri Kumalasari Joko Tri Haryanto Joseph Melchior Nababan Jumadi, Yakobus Linus Jumaryadi, Yuwan Junhai Wang Junhai Wang Kadir, Fauwas Abdul Kaisar Ages Querio Karlena Indriani Karlisa Priandana Karo-Karo, Julkarnaen Kevin Dwi Satria Kotjek, Rafie Kumalasari Kumalasari Kuswanto, Andi Diah Laksono, Andriansyah Tri Laura Gabriel da Silva Lestari, Nindya Dwi Lia Mazia, Lia Lise Pujiastuti Lise Pujiastuti Lita Sari Marita Maharani Rona Makom Makom, Maharani Rona Manarul Hidayat Mantriwira, Daniel Mardinawat Mardinawat Mardinawati Mardinawati Mardinawati, Mardinawati Marundrury, Aberahamo Onoma Megawaty, Dyah Ayu Mochamad Wahyudi Muhammad Furqon Prasetyo Muhammad Raviansyah Musfiroh Musfiroh, Musfiroh Nabilla, Adinda Naufal Hermawan, Rezan Ningtyas, Listina Ade Widya Nirwana Hendrastuty Noviyanto Nur Rachmat Nugraha Nurfia Oktaviani Syamsiah Nurrahman, Alvin Oprasto, Raditya Rimbawan Paduloh Paduloh Pakpahan, Roida Pasaribu, A. Ferico Octaviansyah Paulus Paulus Permata, Permata Prasetyo Adi Suwignyo Prasetyo, Romadhan Edy Pribadi, Denny Pricillia Primadana, Raihan Pujiastuti, Lise Purwandani, Indah Putra Satria Putra, Imam Hanif Rachmat Adi Purnama Rafi Kurniawan Raihan Naufal Ramadhan Raihan Raihan, Raihan Ramadhan, Muhammad Gilang Ramadhani, Dwiki Gilang Ramadhani, Varla Octavia Rani, Maulidina Cahaya Rasendriya, Rafi Rasyid, Arnata Nur Ratiyah* Ratiyah Ratnasari, Arum Respati Putra, Micho Retno Winarti Reynaldi , Reynaldi Rian Hidayat Ridwan, Asrifia Rifda Ilahy Rosihan Riska Aryanti Rivaldi, Muhammad Rizal Maulana Rizqi Ramadhani, Muhammad Rofiqi, Ainur Roida Pakpahan Roida Pakpahan Roni Saputra Pratama Ruhul Amin Rumidjan Rumidjan, Rumidjan Rusda Wajhillah Ryan Randy Suryono Ryehan Alfiansyah Sanriomi Sintaro Santosa, Teguh Budi Saputra, Sabita Abigail Saputra, Yusup Saputri, Fifin Sefriani, Shintia Putriayu Sentanu, Quinn Abrar Athallah Sentot Achmadi Setiawan, Dandi Setiawansyah Setiawansyah Siregar, Denny Solihin Solihin Souisa, Juanny Cheristy Sri Hendrastuti, Elisabeth Sri Sugiharti Suci, Bintang Dyas SUKAMTI . Sulaiman Sulaiman Sulistyo Sulistyo Sumarna Sumarna Sumarna Sumarna Suparno Suparno Suwandi Suwandi Syakir, Adryan Raihan Tabrani, Tabrani Tanjung, Widya Viona Septi Tarmidzi Ibrahim Taufig, Ghofar Teguh Budhi Santosa Teguh Budi Santosa Temi Ardiansah Teuku Vaickal Rizki irdian Tito, Herdinan Tri Widian Ratnasari Ulum, Faruk Umam, Hairul Umar, Muhammad Hussein Ummu Radiyah, Ummu Vemi Januar Pratama Vera Agustina Yanti Virgiawan, Gilang Wahyudi, Agung Deni Wang, Junhai Wardani, Maidy Tri Wattilah, Florentina Wijaya, Filzah Wina Ningsih Yamani, Teuku Arrasy Yanuar Laik, Abraham Adrian Yunardus, Yunardus Yundari, Yundari Yuri Rahmanto Zahwa Asfa Rabbani Zaky, Faiz Najwan Zalmi, Indah Oktavia Zidan, Muhammad `Diah Kuswanto, Andi