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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) 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) 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 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 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
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

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Implementation of Dimensionality Reduction with SVD to Improve Rating Prediction in Recommender System M. Naufal Mu'afa; Z.K.A. Baizal
Journal of Computer System and Informatics (JoSYC) Vol 3 No 4 (2022): August 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v3i4.2110

Abstract

Recommender system is widely implemented in various fields. Collaborative Filtering is one of the most used recommender system paradigms because it is easy to use. K-means clustering algorithm is widely use in Collaborative Filtering. This algorithm can predict the item rating that will be given by a user. Rating can be predicted by calculating the average rating of the item. The clustering performance of this algorithm is low because this algorithm selects initial centroid randomly. This causes high errors in the item rating prediction. To obtain lower error, we propose dimensionality reduction with Singular Value Decomposition (SVD). SVD is able to factorize the clustering result data and reduce dimensionality of the data. Dimensionality reduction with SVD can be carried out by removing non-dominant characteristics of the data. This study uses the result of factorization to calculate the similarity between clusters. The value of similarity between clusters is used to predict the rating of an item that will be given by a cluster. The experimental results show that the combined method of K-means and SVD can produces RMSE up to 8.936% lower than the K-means method.
Analisis Manajemen Pengelolaan Dana Desa di Desa Jungke Kecamatan Permata Kabupaten Bener Meriah Irhas Jaya; Humaizi Humaizi; Nurman Achmad
PERSPEKTIF Vol. 9 No. 2 (2020): PERSPEKTIF - July
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/perspektif.v9i2.3544

Abstract

This study aims to determine the Management of Village Fund Management in Jungke Village Permata District Bener Meriah Regency and the factors that influence it to achieve these objectives used qualitative research methods by breaking down the data descriptively. Data collection techniques were carried out by interview, document and archive observation using qualitative descriptive analysis techniques. The results of the study show: First the management stages of Village Fund Management in Jungke Village include Planning and Implementation of Reporting and Accountability Administration. Management of Village Fund Management is carried out by the Government of Jungke Village, Permata District, Bener Meriah Regency, and has followed the technical guidelines that have been regulated in the legislation. But in the process is still not optimal. This can be seen from the process of reporting and accountability that is experiencing delays. For the Reporting Process of Realizing the Use of Village Funds not in accordance with the predetermined schedule, causing delays in disbursing funds for the next stage. Likewise with the Responsibility for the use of village funds so that the community cannot evaluate the results of the work of the village government and the Accountability to the Regional Government which is not carried out in a timely manner. Second: Factors that influence the management of village funds include supporting and inhibiting factors. Supporting factors are community participation, facilities and infrastructure, while the inhibiting factors are human resources, technical guidelines for managing village funds that change every year and communication.
Budaya Kerja Aparatur Sipil Negara pada Kantor Camat Idi Tunong Kabupaten Aceh Timur Cut Sri Maulina; Humaizi Humaizi; Nurman Achmad
PERSPEKTIF Vol. 9 No. 2 (2020): PERSPEKTIF - July
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/perspektif.v9i2.3546

Abstract

The purpose of this study was to look at work culture and the factors that influence the work culture of employees in the Idi Tunong Subdistrict Office. Descriptive research method with a qualitative approach. Data collection techniques are through observation, interviews and documentation. The informants of this research are the key informants namely the Idi Tunong Sub-District Head and the Public and Personnel Kasubbag, the main informants are employees of the Idi Tunong Sub-District Office employee and additional informants are the people who get the services of the Idi Tunong Sub-District Office. Data analysis techniques are data reduction, data presentation, and drawing conclusions. The results of this study are the work culture of the Idi Tunong Sub-District Office in terms of information disclosure, mutual respect, cooperation between employees has been carried out well only in employee work discipline is still not optimal and needs to be improved. Meanwhile, for factors that influence the work culture of the Idi Tunong Subdistrict Office such as organizational culture, external culture, learning process and motivation have an influence on the work culture of the Idi Tunong Subdistrict Office, while for leader behavior, employee selection, mission clarity, mission certainty, exemplary leaders still have not influenced the work culture in the Idi Tunong Sub-District Office.
QUESTION ANSWERING FOR SUMEDANG LARANG KINGDOM USING THE MULTILAYER PERCEPTRON ALGORITHM Arifa Nur Hasanah; Abdurahman Baizal; Ramanti Dharayani
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 7, No 4 (2022)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v7i4.3206

Abstract

In Indonesia, there were many kingdoms in the past, one of which was the Sumedang Larang Kingdom. Sumedang Larang is an Islamic kingdom under the control of the Pajajaran Kingdom. Through history, a nation will be able to recognize the origin of its own nation. Therefore, teaching about history is very important to be instilled from an early age. Through the rapid development of technology, teaching today is not only in the form of formal teaching, but also informal teaching. Nowadays, informal teaching can be done through various media, one of the media that is often used is gadgets. The utilization of gadgets as learning media allows a person to learn independently. One form of history learning by utilizing gadgets can be in the form of a Question Answering System (QAS). QAS allows users to ask questions using natural language and the system will answer the questions. Therefore, our research aims to help introduce the history of the Sumedang Larang kingdom to the public. We build a QAS by utilizing the n-gram model, Multilayer Perceptron (MLP) algorithm, and ontology. N-gram is used to cut words/sentences and convert them into a matrix, while MLP is used to classify texts, and ontology is used as knowledge representation. In this study, the system was able to answer 35 questions out of 61 questions, so it had an accuracy of 57.37%.
Chatbot-based Culinary Tourism Recommender System Using Named Entity Recognition Adri Nur Fajari; Abdurahman Baizal
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 7, No 4 (2022)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v7i4.3210

Abstract

Over the time, culinary tourism in several cities of Indonesia is growing rapidly, one example is culinary tourism in Bandung city. This makes it difficult for tourists to decide their choice. To overcome these problems, a recommendation system is needed. Thus, in this study we developed a chatbot-based conversational recommendation system to assist users in finding culinary tourism recommendations. The chatbot was built using Google Dialogflow platform and uses methods in Natural Language Processing, namely Named Entity Recognition. Named Entity Recognition was used to extract entities from user’s input, such as usernames and culinary preferences. To find culinary recommendations, TF-IDF and cosine similarity was used to find similarities between each culinary based on reviews, telegram was used as a medium to implement the chatbot that has been built. The chatbot has a good performance in providing culinary recommendations, it can be seen from the score obtained from usability testing on the recommendation aspect, which is 85.7%.
Penerapan Model Problem Based Learning (PBL) Dengan Strategi Guru Keliling (Guling) Pada Masa Pandemi Nuraini Lubis; Rita Destini
Jurnal MathEducation Nusantara Vol 5, No 2 (2022): July 2022
Publisher : Universitas Muslim Nusantara Al Washliyah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jmn.v5i2.247

Abstract

Tujuan penelitian ini untuk menerapkan proses pembelajaran matematika dengan strategi Guru Keliling (Guling)  dalam  pembelajaran matematika  menggunakan Model Problem Based Learning (PBL). Jenis penelitian yang digunakan dalam penelitian ini yaitu kualitatif. Subjek yang terlibat dalam penelitian ini adalah guru dan siswa SMPN 3 Pulau Rakyat Asahan Sumatera Utara. Teknik analisis data dilakukan dengan triangulasi dari observasi, wawancara dan studi dokumentasi. Hasil penelitian menunjukkan bahwa strategi guru keliling ini efektif dilaksanakan bagi siswa yang lokasinya jauh dari kota yang tidak memiliki handphone atau laptop sebagai sarana pembelajaran dimasa pandemi ini. Siswa merasa senang, karena ada sarana belajar dan bertanya kepada guru dan teman satu kelas.
PENGARUH KUALITAS PELAYANAN DAN PELAKSANAAN PROMOSI TERHADAP MINAT BELI ULANG JASA KAMAR PADA AYOLA FIRST POINT HOTEL KOTA PEKANBARU Wida Wulandari; Lie Othman
Jurnal Online Mahasiswa (JOM) Bidang Ilmu Sosial dan Ilmu Politik Vol. 9: Edisi II Juli - Desember 2022
Publisher : Fakultas Ilmu Sosial dan Ilmu Politik Universitas Riau

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

Abstract

This study aims to determine the effect of service quality and promotion implementation on the interest in repurchasing room services at Ayola First Point Hotel Pekanbaru partially and simultaneously. In this study, the method used was a quantitative approach and used analytical tools, namely SPSS version 23. The respondents in this study were 100 people who used the Ayola First Point Hotel room service. Furthermore, the results obtained are that there is a positive and significant influence between Service Quality (X1) and Repurchase Interest (Y), Promotion Implementation (X2) has a positive and significant effect on Repurchase Interest (Y), and Service Quality (X1) and Implementation Promotion (X2) has a positive and significant effect on Repurchase Interest (Y) Room Service At Ayola First Point Hotel Pekanbaru City. Keywords: Service Quality, Promotion Implementation, and Repurchase Interest
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.
Movie recommender chatbot based on Dialogflow Zinke Abdurahman Baizal; Nurul Ikhsan; Ichwanul Muslim Karo Karo; Reinaldo Kenneth Darmawan; Roby Dwi Hartanto
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 1: February 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i1.pp936-947

Abstract

Currently, the online movie streaming business is growing rapidly, such as Netflix, Disney+, Amazon Prime Video, HBO, and Apple TV. The recommender system helps customers in getting information about movies that are in accordance with their wishes. Meanwhile, the development of messaging platform technology has made it easier for many people to communicate instantly. Utilizing a messaging platform to build a recommender system for movies, provides special benefits because people often access the messaging platform all the time. In the Indonesian language, there are many slang terms that the system must recognize. In this study, we build a chatbot on a messaging platform which users can interact with the system in natural language (in Indonesian language) and get recommendations. We use rule-based and maximum likelihood as a method in natural language processing (NLP), and content-based filtering for the recommendation process. The recommender system interaction is built through a conversation mechanism that will form a conversational recommender system. The interaction is based on a chatbot which is built using Dialogflow and implemented on the telegram. We use the accuracy of recommendations and user satisfaction to evaluate the system performance. The results obtained from the user study indicate that the NLP approach provides a positive experience for users. In addition, the system also produces an accuracy value of 83%.
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 Aryanta, Rafi Rizkya Ayunda Farah Istiqamah 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 Dhiva Rezzy Pratama Diah Mahmuda Diah Pudi Langgeni Didik Tri Setiyoko 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 Hary Yuswadi Hasanuddin Hasanuddin Hasanusi, Mohammad Helmi Arifin Hendra Naldi 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 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 Mahmud Dwi Sulistiyo Mahmud Imrona Mala Nurilmala Mansyur Arif Marayasa, I Nyoman Marendra Septianta Mayasari Mayasari Mella Ismelina Farma 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 Muhammad, Widi Sayyd Fadhil Mustakim, ' Musthafa Zaki Bahar Mustofa, Mutmainnah 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 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 Shaufiah . Sigit Budisantoso Silvia Atika Anggrayni Simon He Siti Rohani Sitorus, Angela Tiara Maharani Sri Andayani Sri Melia Suci Aprianti Sukanta Sumaryati Syukur Suyitman Suyitman Syaifuddin Ahrom Syaifuddin Ahrom 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 Yusran Khery, Yusran Yusri Dianne Jurnalis Yusza Reditya Murti Zidni Mubarok Zoni Hidayat