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All Journal International Journal of Electrical and Computer Engineering International Journal of Public Health Science (IJPHS) Hemera Zoa IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Natural Science: Journal of Science and Technology Journal of English Language Teaching E-JUPEKhu Jurnal Pendidikan dan Pembelajaran Khatulistiwa (JPPK) Jurnal Pendidikan Humaniora TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) JUTI: Jurnal Ilmiah Teknologi Informasi Lingua Cultura IJOG : Indonesian Journal on Geoscience Jurnal Ilmu dan Industri Peternakan Jurnal Online Mahasiswa (JOM) Bidang Ilmu Sosial dan Ilmu Politik Jurnal Online Mahasiswa (JOM) Bidang Ilmu Ekonomi Biotropika JURNAL PENELITIAN SAINTIKA Jurnal Riset Kimia International Journal of Advances in Intelligent Informatics Seminar Nasional Informatika (SEMNASIF) JOURNAL OF INFORMATICS AND COMPUTER SCIENCE Indonesia Symposium on Computing Indonesian Journal on Computing (Indo-JC) IJoICT (International Journal on Information and Communication Technology) Journal on English as a Foreign Language (JEFL) Jurnal Pendidikan Kimia FKIP Universitas Halu Oleo Economic Education Analysis Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Farmasi Galenika (Galenika Journal of Pharmacy) JURNAL MEDIA INFORMATIKA BUDIDARMA JURNAL MANAJEMEN DAN PELAYANAN FARMASI (Journal of Management and Pharmacy Practice) SRIWIJAYA INTERNATIONAL JOURNAL OF DYNAMIC ECONOMICS AND BUSINESS Jurnal Pendidikan Kimia (JPKim) JITK (Jurnal Ilmu Pengetahuan dan Komputer) METASASTRA: Jurnal Penelitian Sastra Masyarakat Telematika Dan Informasi : Jurnal Penelitian Teknologi Informasi dan Komunikasi Mesin FENOMENA Jurnal Informasi Kesehatan Indonesia (JIKI) Jurnal Agrotek Tropika Beta: Jurnal Tadris Matematika SEIKO : Journal of Management & Business English Language and Literature International Conference (ELLiC) Proceedings NUSANTARA : Jurnal Ilmu Pengetahuan Sosial Fisitek : Jurnal Ilmu Fisika dan Teknologi Surya Abdimas Logista: Jurnal Ilmiah Pengabdian Kepada Masyarakat Jurnal Ilmiah Ecosystem Jurnal Hilirisasi IPTEKS (JHI) Jurnal Riset Manajemen Bisnis dan Publik JTP - Jurnal Teknologi Pendidikan Jurnal Literasiologi Techno-Fish Seminar Nasional Lahan Suboptimal JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Al-Ta'lim Journal of English Language Teaching and Linguistics INTEK: Jurnal Penelitian PEDULI: Jurnal Imiah Pengabdian Pada Masyarakat Journal of Community Based Environmental Engineering and Management Menara Ilmu DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) Jurnal Pengabdian Dharma Laksana Hydrogen: Jurnal Kependidikan Kimia Atrium Pendidikan Biologi Building of Informatics, Technology and Science KREATIF : Jurnal Ilmiah Prodi Manajemen Universitas Pamulang Jurnal GeoEkonomi English Language Teaching Educational Journal Indonesian Journal of Clinical Pathology and Medical Laboratory (IJCPML) PERSPEKTIF Jurnal Perspektif: Jurnal Kajian Sosiologi dan Pendidikan Jurnal Paradigma Jurnal Ilmiah Pendidikan Matematika Al Qalasadi Jurnal Riset Teknologi Industri JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) JIIP (Jurnal Ilmiah Ilmu Pendidikan) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Jurnal Hukum Adigama Journal of Data Science and Its Applications Jurnal Ecogen Jurnal Kajian Manajemen dan Wirausaha Indonesian Journal on Geoscience International Journal of Southeast Asia Indonesian Journal on Geoscience Indian Journal of Forensic Medicine & Toxicology Warta Pengabdian Andalas: Jurnal Ilmiah Pengembangan Dan Penerapan Ipteks Charity : Jurnal Pengabdian Masyarakat Jurnal Ilmiah Wahana Pendidikan Jurnal Pengabdian Polinema Kepada Masyarakat Jurnal Pengabdian kepada Masyarakat Kreator Operations Management and Information System Studies Marketing Management Studies MATHunesa: Jurnal Ilmiah Matematika Indonesian Community Journal Jurnal Kesehatan dan Olahraga Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabmas Masyarakat Sehat Jurnal MathEducation Nusantara Kronologi The Indonesian Journal of Gastroenterology, Hepatology and Digestive Endoscopy International Journal of Educational Research Excellence (IJERE) eProceedings of Engineering Jurnal INFOTEL
ZK Abdurahman Baizal
Universitas Telkom
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Journal : Indonesian Journal on Computing (Indo-JC)

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Group Recommender System Using Hybrid Filtering for Tourism Domain Lutfi Ambarwati; Z. K. A. Baizal
Indonesia Journal on Computing (Indo-JC) Vol. 4 No. 2 (2019): September, 2019
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2019.4.2.258

Abstract

Group recommender system is built to overcome the different needs that exist in each of the tour group members in determining tourist destinations. This is because everyone has different desires in determining the constraints of tourist destinations, such as costs and tourist categories. This recommendation process is based on a combination of profiles of each member to produce a tourist destination that can fulfill their needs. The method used is hybrid filtering which is a combination of collaborative filtering and knowledge-based filtering. Because the two methods have their own shortcomings. The collaborative method has a deficiency of tourist items that have never been rated by a user before, so the item cannot be recommended for active users. While in knowledge-based, tourist items must be completely described in detail so that they can be recommended to users. Domain used in this research is Bandung Raya area. The results of the evaluation in this study, users tend to feel very satisfied for the results of group travel recommendations generated the application by 50%. As for the evaluation of the recommendation algorithm, users prefer the results of the recommendations produced by collaborative and hybrid methods.
Determining N-Days Tourist Route Using Swap Operator Based Artificial Bee Colony Algorithm Ayunda Farah Istiqamah; Z K Abdurahman Baizal; Yusza Reditya Murti
Indonesia Journal on Computing (Indo-JC) Vol. 5 No. 1 (2020): Maret, 2020
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2020.5.1.382

Abstract

Traveling is one of the activities chosen by many people to spend holidays. Some tourists want to go on vacation in a place they have never visited before, so they need a tool to plan a tour. Planning this tour includes determining tourist route. We analogize the determination of tourist routes using Traveling Salesman Problem (TSP). The main objective of this study was to find the optimal tourist route using Swap Operator Based Artificial Bee Colony Algorithm. We use Multi-Attribute Utility Theory (MAUT) to accommodate user needs for the route that recommended by the system. The criteria for user preferences used in this study are: 1) routes with as many tourist attractions as possible, 2) routes that pass popular destinations, and 3) routes with minimal costs. Based on the experiment results, Swap Operator Based Artificial Bee Colony gives more optimal results than the Simulated Annealing, especially in terms of the number of tourist attractions (nodes) that can be visited in one trip.Keywords: Multi-Attribute Utility Theory, Swap Operator Based Artificial Bee Colony Algorithm, Traveling Salesman Problem
Ontology-Based Semantic Search on Tourism Information Search System Ranestari Sastriani; Z K Abdurahman Baizal; Dana Sulistyo Kusumo
Indonesia Journal on Computing (Indo-JC) Vol. 5 No. 1 (2020): Maret, 2020
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2020.5.1.397

Abstract

Nowadays, search engines are used to find various information on the Web.  Search engines that are implied traditional search based on keywords do not always provide relevant information. Meanwhile by semantic search can provide relevant results because it can understand the meaning of the context and its connection. One approach to semantic search is to use ontology. Ontology is used to define concepts and relevant relations in a domain. In Information Retrieval (IR), an ontology  encompasses in returning relevant information from a collection of unstructured information. One application of ontology in IR is query expansion. In this research, The query entered by the users will be searched for its relation to the ontology domain which will be expanded later. We use tourism in Bandung Raya as an ontology domain.  The search in this research is represented by using Vector Space Model (VSM). Furthermore, relevant documents  from search result will be provided to users. Based on the results of testing, the system that is built is able to provide relevant information with an average MAP value better than the search system that only uses traditional search methods.
Multi Criteria Recommender System for Music using K-Nearest Neighbors and Weighted Product Method Muhamad Hafidh Nofal; zk abdurahman baizal; Ramanti Dharayani
Indonesia Journal on Computing (Indo-JC) Vol. 6 No. 2 (2021): September, 2021
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2021.6.2.575

Abstract

Currently, the music industry has grown rapidly which has led to an information overload that hinders users from finding the music they want, because everyone has their own unique characteristics. In a previous study, the Recommender System converted music lyrics into digital values using Lexicon's Non-Commercial Research (NRC) and K Nearest Neighbors (KNN) to look for similarities between music. However, this system only uses lyrics to recommend music, so it doesn't pay more attention to user preferences. Therefore, in this study adds criteria from users using the Weighted Product Method (WPM) to weight the music criteria with the input criteria from users. In this study uses a music dataset from 2000 to 2019 taken from the Kaggle website. The purpose of this study was to measure user satisfaction using the System Usability Scale (SUS). In this case, the user is free to answer 10 questions regarding the results of the recommendations provided by the system. Based on the results of the questionnaire, the SUS score was 83.65. This score is included in the EXCELLENT category with grade A scale
Tourism Recommender System using Weighted Parallel Hybrid Method with Singular Value Decomposition Yoan Amri Akbar; zk abdurahman baizal; Agung Toto Wibowo
Indonesia Journal on Computing (Indo-JC) Vol. 6 No. 2 (2021): September, 2021
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2021.6.2.579

Abstract

Presently, we often get suggestions for recommendations for tourist attractions from various sources such as the internet, magazines, newspapers, or travel agencies. Because there is numerous information, tourists become difficult to determine the tourism destination that suits their wishes. We created a tourism recommender system that can provide information in the form of recommendations for tourist attractions by the preference of tourists. The method used is a hybrid method that combines several recommendation methods, which are Content-Based Filtering (CB) and Collaborative Filtering (CF). We use tourism data of Lombok Island, West Nusa Tenggara, which will be taken from the TripAdvisor site. We apply the Singular Value Decomposition algorithm on CF and CB. The Hybrid Weighted Parallel Technique is used for Hybrid Method. The results of the experiment show that the weighting technique hybrid method provides higher prediction accuracy than when undergoing the recommender system method separately. The average results of Mean Square Error were obtained 0.7275 (CF), 0 .4583 (CB), and 0.2548 (Hybrid Method). The result indicates that the Hybrid Method with the Weighting Technique has the highest accuracy of another method.
Music Recommender System Using K-Nearest Neighbor and Particle Swarm Optimization Randika Dwi Maulana Rasyid; ZK Abdurahman Baizal
Indonesia Journal on Computing (Indo-JC) Vol. 7 No. 2 (2022): August, 2022
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2022.7.2.649

Abstract

In this day, users can listen to music anytime digitally and access them through the already available applications. A music recommender system is needed to help users choose music according to their interests and find music to listen to. K-Nearest Neighbor (KNN) is a popular method used in Collaborative Filtering (CF). In many studies, CF with the KNN method has been widely used, but it does not provide good performance. Thus, in this study, we use KNN, which will be optimized using Particle Swarm Optimization (PSO), which can improve the performance of the results obtained against the method used. System testing is done by comparing the performance of the KNN algorithm with the optimization results of KNN-PSO with several variables being observed, including the Mean Squared Error (MSE) and Root Mean Squared Error (RMSE) values. The results of these recommender will predict the rating value where the KNN method gives MSE 4.48 and RMSE 2.54 while the KNN-PSO method gives MSE 1.70 and RMSE 1.30.
E-Commerce Recommender System on the Shopee Platform Using Apriori Algorithm Rachmi Helfianur; ZK Abdurahman Baizal
Indonesia Journal on Computing (Indo-JC) Vol. 7 No. 2 (2022): August, 2022
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2022.7.2.650

Abstract

The development of E-Commerce continues to increase every year, and all online shopping platforms continue to increase competition. Shopee as an online shopping platform offers various product categories that users need. To make it easier for users when shopping online, it is necessary to implement a product recommender system in E-Commerce. Therefore, in this study, we will build a recommender system using the a priori algorithm. The apriori algorithm is very widely used to find out the buying pattern of each user by looking at a combination of itemset. many recommender systems in e-commerce use various methods used, and provide recommendation results that display popular products, and based on the query results obtained. From the results of previous studies, there are similarities between products that have been liked by customers, so they do not have the best recommendations. Therefore, in this study we apply an apriori algorithm to add user confidence to the given recommendations, and to avoid overspecialization. In this research, we take the domain of electronics goods. In this study, the system produces the best value for association rules with a support value of 0.01, confidence 1.00, and lift 97.35.
Diet and Physical Exercise Recommendation System Using a Combination of K-Means and Random Forest Muhammad Ilham Hafizha; Z. K. A. Baizal
Indonesia Journal on Computing (Indo-JC) Vol. 9 No. 2 (2024): August, 2024
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2024.9.2.959

Abstract

Public health has become a significant focus in this modern era due to the increasing number of people suffering from various diseases. Unhealthy diets and lack of physical activity are often associated with multiple health problems, one of which is obesity. Several studies have been conducted to develop food recommendation systems for individuals with obesity, using K-Means and Random Forest algorithms to provide food recommendations based on user-specific aspects. However, these studies do not provide supporting information, such as physical activity recommendations to address fitness issues or lack of physical activity. This study develops a diet and physical exercise recommendation system for individuals with obesity using a combination of K-Means and Random Forest. The system categorizes and classifies foods and physical exercises and provides customized recommendations based on user data analysis. The accuracy of the system was evaluated using the MAPE metric, with the highest accuracy for dietary food recommendations being 99.03% for the non-vegan lunch diet meal recommendation and the lowest being 70.74% for the vegan morning meal diet recommendation. The MAPE for physical exercise recommendations was consistently at 26.35%, indicating a stable accuracy of 73.65%. The test results show that the system recommends diet and physical exercise accurately.
Multi Criteria Recommender System for Music using K-Nearest Neighbors and Weighted Product Method Nofal, Muhamad Hafidh; baizal, zk abdurahman; Dharayani, Ramanti
Indonesian Journal on Computing (Indo-JC) Vol. 6 No. 2 (2021): September, 2021
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2021.6.2.575

Abstract

Currently, the music industry has grown rapidly which has led to an information overload that hinders users from finding the music they want, because everyone has their own unique characteristics. In a previous study, the Recommender System converted music lyrics into digital values using Lexicon's Non-Commercial Research (NRC) and K Nearest Neighbors (KNN) to look for similarities between music. However, this system only uses lyrics to recommend music, so it doesn't pay more attention to user preferences. Therefore, in this study adds criteria from users using the Weighted Product Method (WPM) to weight the music criteria with the input criteria from users. In this study uses a music dataset from 2000 to 2019 taken from the Kaggle website. The purpose of this study was to measure user satisfaction using the System Usability Scale (SUS). In this case, the user is free to answer 10 questions regarding the results of the recommendations provided by the system. Based on the results of the questionnaire, the SUS score was 83.65. This score is included in the EXCELLENT category with grade A scale
Tourism Recommender System using Weighted Parallel Hybrid Method with Singular Value Decomposition Akbar, Yoan Amri; baizal, zk abdurahman; Wibowo, Agung Toto
Indonesian Journal on Computing (Indo-JC) Vol. 6 No. 2 (2021): September, 2021
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2021.6.2.579

Abstract

Presently, we often get suggestions for recommendations for tourist attractions from various sources such as the internet, magazines, newspapers, or travel agencies. Because there is numerous information, tourists become difficult to determine the tourism destination that suits their wishes. We created a tourism recommender system that can provide information in the form of recommendations for tourist attractions by the preference of tourists. The method used is a hybrid method that combines several recommendation methods, which are Content-Based Filtering (CB) and Collaborative Filtering (CF). We use tourism data of Lombok Island, West Nusa Tenggara, which will be taken from the TripAdvisor site. We apply the Singular Value Decomposition algorithm on CF and CB. The Hybrid Weighted Parallel Technique is used for Hybrid Method. The results of the experiment show that the weighting technique hybrid method provides higher prediction accuracy than when undergoing the recommender system method separately. The average results of Mean Square Error were obtained 0.7275 (CF), 0 .4583 (CB), and 0.2548 (Hybrid Method). The result indicates that the Hybrid Method with the Weighting Technique has the highest accuracy of another method.
Co-Authors Abdul Muqit Abdullah Helmy Ade Kosasih Ade Romadhon Ade Sukma Adisti Rastosari Aditya, Naufal Adri Nur Fajari Afriani Sandra Agung Toto Wibowo Agus Alim Abdullah Ahmad Lubis Ghozali Akbar, Yoan Amri Alam Rahmatulloh Albi Fitransyah Ali, Muhammad Haidir Allismawita Allismawita amnah amnah An Fauzia Rozani Syafei Ana Fitriana Poerana Andiety, Rich Andini, Andini Andjioe, Oscar Rynandi Angelina Sagita Sastrawan Anindya, Widya Dara Aniq A Rahmawati Aniq A. Rahmawati Anisa Herdiani Annisa Cahya Anggraeni Annisa Cahya Anggraeni Antonius Randy Arjun Ardi Ardi Ari Satrio Arie Lasaprima Arifa Nur Hasanah Aryadi Pramarta Ayunda Farah Istiqamah Bahar, Musthafa Zaki Budiarti, L Endang Burhanuddin Bahar Cahya, Anindya Cahyani, Hilda Canda Ayu Arum Pertiwi Christhofer Laurent Juliant Cut Sri Maulina D. Novia Daffa Barin Tizard Riyadi Damayanti, Elok Dana Sulistyo Kusumo Danang Triantoro Murdiansyah Darmawan, Faiha Adzra Dede Tarwidi Dedi Romli Triputra Dendy Andra Deni Novia Dessy Abdullah Devi Pratami Devina Vanesa Dhiva Rezzy Pratama Diah Mahmuda Diah Pudi Langgeni Didit Adytia Djoko Wahyono Donni Richasdy Dreyfus, Shoshana Dwi H Widyantoro Dwi Maya Sari Dwinda Tamara Edy Tandililing Eka Ismantohadi Elly Roza Elsa Rachel Dementieva Erbina Selvia Br Perangin-Angin Erliansyah Nasution Erni Masdupi Erwin B. Setiawan Erwin Budi Setiawan Esa Alfitrassalam Evitayani Evitayani Fadillah, Ichsan Alam Fatimah Nurhayani Fatimatus Zahroh Favian Dewanta Ferawati Ferawati Fernandy Marbun Ferry Lismanto Syaiful Firmansyah Firmansyah Fitriani Mangerangi Gentra Aditya Putra Ruswanda Gesit Tabrani Ghazi Ahmad Fadhlullah Gholib Gholib Grace Yohana Grace Yohana Gusti Ayu Marheni Gustina Lubis Hafid Ahmad Adyatma Hakim, Lukman Nur Hamlan andi Hary Yuswadi Hasanuddin Hasanuddin Hasanusi, Mohammad Helmi Arifin Hendra Naldi Hendri Andi Mesta Humaizi, Humaizi Humaizi, Humaizi Ichwanul Muslim Karo Karo Ida Ayu Putu Sri Widnyani Igga Febrian Virgiani Ika Arum Puspita Ilham Mujaddid Al Masyriq Imam Sunarno, Imam Ina Rofi’atun Nasihati Indira Adnani Indri Juliyarsi Inggrid Resmi Benita Intan Dwi Novieta, Intan Dwi Irfan Darmawan Irhas Jaya Iryanto Iryanto Iut Tri Utami Izzatul Ummah Jaka E. Sembodo Jamhari Jamhari Jamsari Jamsari Jaya, Irhas Jayana Citra Agung Pramu Putra Joni Dwi Pribadi Kalsum Kalsum Kemas M Lhaksmana Kemas M. Lhaksmana Kemas Muslim Lhaksmana Khaeruddin Yusuf Khaidarmansyah Khairiah, Khairiah Khamim, Khamim Khasrad . Khatimah, Ummu Husnul Khoirunnisaa’ Khoirunnisaa’ Khusnul Diana Kun Mustain Kusnadi, Kusnadi Lie Othman Lilis Suryani Lisa Rahmi Litasari Widyastuti, Litasari Liviandra, Monica Loiz, Andhika Lubis, Putri Handayani Lutfi Ambarwati M. Duskri M. Naufal Mu'afa M. Qadrian M. Rayhan Hakim M. Tahir Sapsuha Mahmud Dwi Sulistiyo Mahmud Imrona Mala Nurilmala Mansyur Arif Marayasa, I Nyoman Marendra Septianta Mayasari Mayasari Mella Ismelina F. Rahayu Miranti Andhita Scantya Mirna Fitrani Misna Ariani Mizanul Kirom Moch Arif Bijaksana Moh Naufal Mizan Saputro Moh Z Mubarok Moh. Mahsus Mudayatiningsih, Sri Muhamad Faishal Irawan Muhamad Hafidh Nofal Muhammad Adlim Muhammad Agus Muljanto Muhammad Alwi Nugraha Muhammad Attalariq Muhammad Bilal Rafif Azaki Muhammad Ilham Hafizha Muhammad Ilham Hafizha Muhammad Ridha Anshari Muhammad Zaid Dzulfikar Mustakim, ' Mustofa, Mutmainnah Mutmainnah Mustofa Nabila Wardah Zamani Najla Nur Adila Naufal Akbar Hartono Ni Nyoman Sumiasih Ni Wayan Armini Niken Titi Pratitis Ningsih Purba Ningsih, Ayu Oktavia Nirmala Ayu Aryanti Nisa, Intan Khairu Nofal, Muhamad Hafidh Nora. AN, Desri Nungki Selviandro Nur Azlina Nur Jamilah Nur Rahmawati Nur Ulfa Maulidevi Nuraini Lubis Nurfadhlina Mohd Sharef Nurjayanto, Bagus Wicaksono Nurul Ikhsan Okky Brillian Hibrianto Okky Brillian Hibrianto P, Kadek Abi Satria A V Pahrurrobi Pahrurrobi Paskalis Aditya Putra Prasetia, Reza Putra, A. D. A. Putu Harry Gunawan Qisti R Arvianti Rachmi Helfianur Radhiva Hibatullah, Muhammad Rafiuddin, Rafiuddin Rahmat Firdaus Rahmi Wati Raihani Mohamed Rais Rais Ramadhan, Sageri Fikri Ramadhani, Nur Laili Ramanti Dharayani Randika Dwi Maulana Rasyid Ranestari Sastriani Rasbawati, Rasbawati Rayhan M Auliarahman Reinaldo Kenneth Darmawan Rena Feri Wijayanti Restu Aditya Rachman Reza Rendian Septiawan Rezano, Tomi Richo Fedhia Saldhi Rika Afriani Rina Dahlyanti Rinaldi Jasmi Rinita Amelia Risa Tiuria Risfaheri - Riska Padilah Riski Hernando Rita Rismala Rizaldy Arigi Rizky Andrian Rizqi Bayu Aji Robi Amizar Roby Dwi Hartanto Rohmat Gunawan Romy Adzani Adiputra Roseno, Rizky Haffiyan Rr. Amanda Pasca Rini, Rr. Amanda Pasca Ruh Devita Widhiana Prabowo Rusli, Ridho Kurniawan S. Syamsurizal Sa'diatul Fuadiyah Sahlya Handayati Salam N. Aritonang Sanusi Ibrahim Sarini Vita Dewi Sedyo Mukti, Putri Ayu Sepri Reski Setiyoko, Didik Tri Shaufiah . Sigit Budisantoso Silvia Atika Anggrayni Simon He Siti Rohani Sitorus, Angela Tiara Maharani Solly Aryza Sri Andayani Sri Melia Suci Aprianti Sukanta Sumaryati Syukur Suyitman Suyitman Syaifuddin Ahrom Syaifuddin Ahrom Syaiful Akmal Syamsul Hadi Tebay, Selvi Teguh Surya Apri Handoyo Theriana Ayu Waskitaning Tyas Thoriq Akhdan, Muh Titi Sumanti Tongku Nizwan Siregar Ufra Neshia Umar Ali Ahmad Urnemi - Urnemi Urnemi Utomo, Muhajir Veritia, Veritia Vici E.H.S. Susilowati Wibowo, Kurnia Drajat Winardhi, Sonny Winardhi, Sonny Wiratama, Arga Kusuma Wiwik Handayani Wizna Wizna Wulandari, Dinda Atikah Yani Riyani Yanuar Firdaus Yanuar Firdaus A Yanuar Firdaus A.W. Yesi Chwenta Sari Yoan Amri Akbar Yolani Utami Yudha E. Pratama Yudha Endra Pratama Yuherman Yuherman Yulia Murni Yulia Yellita Yuliant Sibaroni Yulianti Fitri Kurnia Yuliawati Yuliawati Yulisna Gita Hapsari Yundari, Yundari Yusabri Yusran Khery, Yusran Yusri Dianne Jurnalis Yusza Reditya Murti Zidni Mubarok Zoni Hidayat