Article Per Year (5 Year)
p-Index From 2021 - 2026
17.346
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering Jurnal Ilmu Komputer dan Informasi Jurnal Neutrino : jurnal fisika dan aplikasinya Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal Ilmiah Kursor Jurnal Mahasiswa Jurusan Arsitektur Jurnal Teknologi Informasi dan Ilmu Komputer Journal of Information Systems Engineering and Business Intelligence Jurnal Teknologi dan Sistem Komputer JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research Journal of Information Technology and Computer Science Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Nasional Teknik Elektro dan Teknologi Informasi Journal of Management Research and Studies Lontar Komputer: Jurnal Ilmiah Teknologi Informasi
Fitra Abdurrachman Bachtiar
Fakultas Ilmu Komputer - Universitas Brawijaya
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 Library & Information Science Physics Social Sciences

Published : 240 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 240 Documents
Search

 4   5   6   7   8 
Sistem Recruitment Pegawai (Studi Kasus: Mahar Agung Organizer) Rizkia Desi Yudiari; Fajar Pradana; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 5 (2019): Mei 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1141.915 KB)

Abstract

Mahar Agung Organizer has many parameters in selecting candidates that cause a lot of time during manual processing. Project manager's selection in February 2018 was then estimated at more than five hundred job applicants. In the August 2018 official crew selection, it was estimated that job applicants reached one thousand six hundred candidates. In addition, there was no process of classifying the types of events suitable for official crew after being accepted, causing the project manager to review the results of the interview to place the crew official in the list of events. The absence of a concise page that can display information related to official crew work performance to assess official crew performance is also one of the problems that is expected to be resolved through this research. This research will be conducted using an Object-oriented (OO) approach that will use Use Case Diagrams, Sequence Diagrams, and Class Diagrams in making systems. The development cycle uses the Prototype method by doing two iterations according to the agreement in the beginning with the stakeholders. This system will have three main features. The first feature will be implementing selection of candidates with Profile Matching. The second feature is a function for placing candidates who have been accepted into their divisions using the Naive Bayes algorithm. The third feature is displaying official crew performance in the form of dashboarding information. Validation testing using Black Box produces 100% validity. Unit testing and integration testing using White Box is in accordance with expected result.
Pengembangan Sistem Berbasis Web untuk Monitoring LEAD (Studi Kasus Website Document Solution) Mochammad Dearifaldi Al Ikhsan; Fajar Pradana; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 5 (2019): Mei 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (613.056 KB)

Abstract

Online marketing or often called digital marketing is marketing with the concept of promoting a product or service through internet-based media, one of which is a website. The existence of a website raises new problem, namely the difficulty in recognizing website visitors. The use of website to improve marketing strategies needs to be done by recognizing website visitors which will be the lead for a company. Without recognizing the website visitors, the salesperson cannot determine the customer to be contacted. To overcome these problems, a system of monitoring leads is built on the website by applying the waterfall development model. The technology used in this research is the laravel framework which are implemented using the PHP and Javascript programming languages. This research produces a monitoring lead system that can monitor leads, recognize the behavior of website visitors, find out the recommendation of leads, and conduct lead management. In the calculation process, the recommendation of leads uses the weighted product method which is a decision support method that uses weighting, where alternative values and predetermined criteria are needed. This weighted product method is expected to provide recommendation of leads in the form of rating so the salesperson know which leads should be followed up. Testing is done by using the white-box and blackbox methods which show the results that the system functions are in accordance with the main functional specifications, which is displaying various lead information. Usability testing produces a value of 91.67 which indicates that the system has made it easy for users.
Peringkasan Review Konsumen Restoran Menggunakan Weighted Frequent Itemset Mining Moh Iqbal Yusron; Fitra Abdurrachman Bachtiar; Mochammad Ali Fauzi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 5 (2019): Mei 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (491.844 KB)

Abstract

Review written by customer toward a restaurant can be useful for prospective customer or owner of the restaurant to knows the others opinion about the restaurant. However, this can cause a problem if customer review comes in large number. Automatic text summarization system can be a good solution to this problem. One of the best known method for automatic text summarization is TF-IDF weighting. Yet, this method also has a weakness for having tendency to extract long sentences as summary which has high score for contaning many words. In this research, writer propose an approach to use automatic text summarization which not only extract sentences based on its weight but also the ones which covered some words. This is because in the sentences which considered as summary, exist some words which appear together frequently (frequent itemset). Therefore, in this research Weighted Frequent Itemset method is used to summarize customer review for restaurant. This method summarize text by extracting sentences which covered many frequent itemsets and has high sentence relevance score. The result from the test shows that summarization using Weighted Frequent Itemset Mining method archieve average F-measure 0.279.
Perbandingan Peramalan Jumlah Penumpang Keberangkatan Kereta Api di DKI Jakarta Menggunakan Metode Double Exponential Smoothing dan Triple Exponential Smoothing Irma Nurvianti; Budi Darma Setiawan; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 6 (2019): Juni 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (352.788 KB)

Abstract

Every year the population of DKI Jakarta Province always increases. It requires the government to improve the quality of public transportation. Train is one of public transportation in DKI Jakarta. Train is a transportation that is used as an alternative mode of transportation when going to travel far to avoid congestion in the city. Therefore, it needs to plan the train capacity for custumer satisfaction. The excessive or less passengers will have an impact on the performance of PT KAI, resulting in the need forecasting the number of passengers departure for trains which the result can be used by the local government and PT KAI to improve services. This research uses and compares the accuracy of Double Exponential Smoothing and Triple Exponential Smoothing. This research uses 156 records of number of passengers, from Januari 2005 to December 2017 obtained from the data published by Statistic Indonesia. From the study testing, the smallest MAPE is found in Triple Exponential Smoothing, it is 3,213% with the most optimal parameters are =0,4, =0,4 and =0,1. The MAPE value is under 10%, it means the method can predict very well.
Pengembangan Sistem untuk Memonitor Aktivitas Media Sosial Berbasis Web (Studi Kasus Media Sosial Twitter Calon Legislatif pada Pemilihan Legislatif 2019) Vasha Farisi Sarwan Halim; Fajar Pradana; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 6 (2019): Juni 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (448.698 KB)

Abstract

Social media has been assessed to be an effective media for campaign and the use of social media is evidently could develop electability of political candidate. However, because there is limitation of time to keep monitor the condition of social media, usually political candidate's social media end up unmonitored and also not managed very well. To solve the problem, this study will build a system to monitor social media activity by applying waterfall development model with object oriented approach. This system will provide features such as displaying social media activity, people's sentiment analysis, recommendation activity to manage social media, and Indonesian trending topic. System will be developed with Model View Controller (MVC) concept with Laravel framework and PHP, HTML, Javascript as the programming languages. When implementation phase is finished, white box and black box testing is done with result the system has been 100% valid. Usability testing by heuristic evaluation method also done to make sure that system is already made easy for users. The result of usability testing is system has visibility of system status and user control and freedom problem with severity ratings valued 1 which means there is no need to change the system and the system is already made easy for users.
Sistem Pencegah Plagiarisme Dalam Tugas Mahasiswa Dengan Snapshotting dan User Activity Logging Azzam Syawqi Aziz; Fajar Pradana; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 6 (2019): Juni 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (741.868 KB)

Abstract

Plagiarism is an inseparable thing from an academic environment. Various motivations including working part-time and social dilemmas contribute to the high percentage of plagiarism at the university level. Handling with the plagiarism detection method has many disadvantages, such as the emergence police-criminal paradigm, value-oriented mindset, and technical weakness such as inability in analyzing translated documents. Hellas, Leinonen, and Ihantola's research with the plagiarism prevention method has several shortcomings, namely ignoring the process of work so that students can be cheated by buying assignments, the analysis at the end makes students able to cheat during assignments, no any log produced so the teacher can't assess student effort, and the software is tied to a particular platform. This research aims to perfect previous research by adding a snapshotting process that records document changes, user activity logging which records student activities, and build the systems with agnostic properties so that there is freedom to choose the form of tasks and the software that will be used. The system is tested using unit testing, integration, validation, automated testing, and compatibility. Unit testing and integration are valid and exceed 70% code coverage, validation testing in 32 test cases are valid, and compatibility testing shows the system is running well on six common desktop environments. Valid automated testing that contains no errors can speed up the testing process.
Analisis Sentimen Opini Mahasiswa Terhadap Saran Evaluasi Kinerja Dosen Menggunakan TF-IDF dan Support Vector Machine. Achmad Firmansyah Sulaeman; Ahmad Afif Supianto; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 6 (2019): Juni 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1041.738 KB)

Abstract

Lecturers especially in institution should always need to improve their knowledge and effective and efficient teaching methods that can be well received by students. Evaluation on the quality of teaching and academic standardization needs to be done so that the objectives of the teaching goal can be achieved. Brawijaya University especially Computer Science Faculty implements of filling the online questionnaire due to evaluating lecturers' performance at each semesters. The opinion data that held by the UJM Team of Information Systems Department is still no processed by using data analysis classification technology that is able to provide information about student perspectives. Sentiment analysis using Support Vector Machine in combining with Term Frequency Inverse Document Frequency as word weighting can be used as a method in classification of student opinion data. This research managed to used student opinion data in bahasa for 3 last semesters in 2017 and 2018. The test that have been conducted on the results of classification show the average of 82% on Accuracy. Data visualization become an output of this research based on the classification result with displaying 3 different pages of sentiment analysis lecturers performance evaluation on each semester. The average result of usability test show result in 70, which means receives a good visualization dashboard at it self.
Pengembangan Sistem Pembelajaran Bahasa Inggris Menggunakan Pendekatan Gamifikasi Ilham Pambudi; Fajar Pradana; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 6 (2019): Juni 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (653.748 KB)

Abstract

English has been an international language for communication among global citizens. A good English ability is highly required for Indonesians to be able to communicate with other people around the world. However, learners in Indonesia frequently encounter a myriad of challenges in learning English, including their reluctance to study new English vocabulary, worry of making mistakes, and feeling bored with the conventional teaching methods. The main four English skills that should be mastered by the learners are writing, reading, listening, and speaking. Excellent vocabulary mastery has been one of the key factors to become proficient at those four skills. English learning system using gamification approach serves as one of the solutions to improve learners' motivation in learning English. The use of gamification concept integrates several elements embedded in game applications, such as point collection, achievement, ranking, which are wrapped as English learning materials. Website-based learning system can be accessed without any place and time constraint, so that learners can study English autonomously and flexibly. This type of English learning system is developed using a software development model ‘Waterfall' with some certain procedures, including needs analysis, designing, implementation, and system test. This learning system has been examined by testing unit using White box method and validation test using Black box. Based on a series of the conducted tests, it demonstrated that the functional system has been running as designed and the result of the tests showed a 100% validity level.
Analisis Sentimen Evaluasi Kinerja Dosen menggunakan Term Frequency-Inverse Document Frequency dan Naive Bayes Classifier Sri Wulan Utami Vitandy; Ahmad Afif Supianto; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 6 (2019): Juni 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (560.926 KB)

Abstract

Effective and efficient in teaching can help students achieve maximum results. An evaluation is needed to improve the quality of learning and academic standardization, also it can improve the quality of the student. Therefore, the Information Systems Department always evaluates performance using questionnaires and filled by students at the end of each semester. The results of the suggestion column can be sentiment analysis to find out whether the suggestion is positive, negative or neutral. The classifier is a method that can classify data into several classes. Naive Bayes Classifier can be used to classify opinions into positive, negative and neutral classes. The comment data was collected 3502 comments which were divided into 3 semesters. Then, this comment data processed in preprocessing, weighting TF-IDF and classification using Naive Bayes Classifier. The test result on 4 parameters resulted in an accuracy of 80,1%, Precision 80,3%, Recall 80,3% and F1-Score 80%. The results of Usability testing obtained an average value of SUS Score of 75. So it can be concluded that the Dashboard is included in the Acceptance category and in the rating of "Good"
Pengenalan Citra Makanan Tradisional menggunakan Fitur Hue Saturation Value dan Fuzzy k-Nearest Neighbor Refi Fadholi; Yuita Arum Sari; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 7 (2019): Juli 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (831.491 KB)

Abstract

Traditional food and snacks are typical of ancestors usually used for events or traditions. Some people consider that traditional food and snacks are obsolete, so that more traditional food and snacks are left behind by the people, and begin to shift to modern life, whereas traditional snacks themselves are one form of ancestral heritage that must preserved by next generation. Making system that can identify traditional types of food can be done using digital image processing. In this study, the image data used the result of image after segmentation with three types of data on testing, that is 300 images of the best segmentation result, 300 data of images with the amount of data each class is almost same and 400 data of images with the best segmentation results. Image feature used Hue Saturation Value (HSV) that contains mean, standard deviation, skewness and curtosis each color dimensions. Classification using the Fuzzy k-NN method and k-Fold Cross Validation. The test results based on values of k (k-Fold) and k (k-NN) obtained highest average accuracy at 53.33%. The test results also show that high color similarity between classes, poor image quality data and uneveness amount of data makes the test result decreased.
Co-Authors AA Sudharmawan, AA Abidatul Izzah Abu Wildan Mucholladin Achmad Arwan Achmad Basuki Achmad Basuki Achmad Fahlevi Achmad Firmansyah Sulaeman Achmad Hanim Nur Wahid Achmad Ridok Adam Hendra Brata Adam Syarif Hidayatullah Adhia, Nabila Nur Fajri Adinugroho, Sigit Aditya Rachmadi Aditya Rachmadi, Aditya Admaja Dwi Herlambang, Admaja Dwi Afida, Latansa Nurry Izza Afifurrijal Afifurrijal Agus Wahyu Widodo Ahmad Afif Supianto Ahmad Afif Supianto Ahmad Afif Supianto Ahmad Afif Supianto Ahmad Fairuzabadi Aisyah Awalina Aisyatul Maulidah Akhmad Lazuardi Al Ikhsan, Mochammad Dearifaldi Alaikal Fajri Nur Alfian Aldi Fianda Putra Aldo, Muhammad Alfi Nur Rusydi Alfian, Kharis Alfin Taufiqurrahman Alfirsa Damasyifa Fauzulhaq Alhasyimi, Dana Mustofa Amadea, Karina Amalia Kusuma Akaresti Amrillah, Muhammad Ifa Andi Alifsyah Dyasham Anggit Chalilur Rahman Anita Rizky Agustina Anita Rizky Agustina Anjasari, Ni Luh Made Beathris Anjumi Kholifatu Rahmatika Annuranda, Ramansyah Eka Apriyanti -, Apriyanti Ardi Wicaksono ari kusyanti Arieftia Wicaksono Arifien, Zainal Aulia Dewi Savitri Aulia Nurrahma Rosanti Paidja Aulia Septi Pertiwi Awalina, Aisyah Azhar Izzannada Elbachtiar Azizah, Rizky Adinda Azzam Syawqi Aziz Azzam, Ja'far Shidqul Baharudin Yusuf Widiyanto Bangse, Ni Nyoman Dinda Permata Putri Barlian Henryranu Prasetio Bayu Aji Firmansyah Bayu Priyambadha Benni A. Nugroho Bere, Stevania Biabdillah, Fajerin Bianca Pingkan Nevista Bintang Fajrianti Budi Darma Setiawan Budi Setiawan Cahya, Reiza Adi Cinthia Vairra Hudiyanti Dariswan Janweri Perangin-Angin Darmawan, Riski Dary Ardiansyah Haryono Dea Zakia Nathania Dedi Romario Delpiero, Rangga Raditya Desy Setya Rositasari Dewi, Elok Nuraida Kusuma Dian Eka Ratnawati Dika Imantika Dimas Angga Nazaruddin Dinda Adimanggala Dito William Hamonangan Gultom Diva Fardiana Risa Djoko Pramono Dona Adittia Dyah Ayu Wulandari Dyah Ayu Wulandari Dyah Ayu Wulandari Dzar Romaita Eka Devi Prasetiya Eka Yuni Darmayanti Eko Laksono Eko Setiawan Fabiansyah Cahyo Kuncoro Pradipta Fahrezy, Ahmad Faizatul Amalia Fajar Pradana Faranisa, Puspa Ayu Fardan Ainul Yaqiin Farhan Setya Dhitama Farhansyah, Brahma Hanif Farid Syauqi Nirwan Fasya Ghassani Hadiyan Fatwa Ramdani, Fatwa Ferdian Maulana Akbar Ferry Ardianto Rismawan Ficry Agam Fathurrachman Fikar Mukamal Gandhi Ramadhona Gembong Edhi Setyawan Giga Setiawan Gregorius Dhanasatya Pudyakinarya Gultom, Dito William Hamonangan Gunawan, Alifi Haikal, Raihan Hanggara, Buce Trias Hanif Prasetyo Maulidina Hanifah Khoirunnisak Hanifah Muslimah Az-Zahra Hanifah Muslimah Az-Zahra, Hanifah Muslimah Haryowinoto Rizqul Aktsar Hasyir Daffa Ibrahim Hayashi, Yusuke Herman Tolle Heryana, Ana Hidayatullah, Adam Syarif Hirashima, Tsukasa Holiyanda Husada Hutamaputra, William Ihza Razan Alghifari Ikhsan Putra Arisandi Ikrom Septian Hadi Ilham Pambudi Imam Cholissodin Imam Cholissodin Indra Kurniawan Syahputra Indriati Indriati Indriati Indriati Indriati Indriati Indriati Intan Yusuf Habibie Iqbal Taufiq Ahmad Nur Irfani, Ilham Irma Nurvianti Irwan Suprianto Irwanto, M. Sofyan Issa Arwani Istanto, Raga Saputra Heri Ivqonnada Al Mufarrih Joseph Ananda Sugihdharma Joseph Ananda Sugihdharma Julia Ferlin Kartiko, Erik Yohan Katrina Puspita Kevin Gusti Farras Fari' Utomo Kharis Alfian Khoirullah, Habib Bahari Kresna Hafizh Muhaimin Krisnabayu, Rifky Yunus Krisnandi, Dikdik Kuncahyo Setyo Nugroho Kurnia Fakhrul Izza Kurniawan, Rafi Athallah Kusumo, R. Budiarianto Suryo Lailil Muflikhah Larasati, Sza Sza Amulya Lathania, Laela Salma Ludgerus Darell Perwara Luthfi Afrizal Ardhani M Reza Syahputra A M. Ali Fauzi M. Khusnul Azhari M. Raabith Rifqi Mar'i, Farhanna Marji Marvel Timothy Raphael Manullang Maulidah, Aisyatul Mawarni, Marrisaeka Moch Irfan Prayudha Adhianto Mochamad Chandra Saputra Mochamad Havid Albar Purnomo Mochammad Dearifaldi Al Ikhsan Moh Iqbal Yusron Mufidatun Nuha Muh. Edo Aprillia Andilala Muhammad Ferdyandi Muhammad Tanzil Furqon Muhammad Taufik Dharmawan Muhammad Wafi Muhammad Zulfikarrahman Nabila Leksana Putri Nabila Lubna Irbakanisa Nadifa, Rahajeng Mufti Nainggolan, Cesilia Natasya Nanang Yudi Setiawan Nanang Yudi Setiawan Nanang Yudi Setyawan Nanda Ajeng Kartini Nanda Samsu Dhuha Nasita Ratih Damayanti Nevista, Bianca Pingkan Nourman Hajar Novanto Yudistira Novi Sunu Sri Giriwati Novianti, Siska Nur Wahyu Melliano Hariyanto Nur, Iqbal Taufiq Ahmad Nurafifah Alya Farahisya Nurkhoyri, Ageng Nurul Hidayat Oddy Aulia Rahman Nugroho Okta Dwi Ariska Pamungkas, Gilang Alif Pangestu, Gusti Pradana , Fajar Pranata, Arya Yudha Kusuma Priyambadha, Bayu Pryono, Muhammad Adam Pulungan, Vallery Puras Handharmahua Purnomo, Fawwaz Anrico Putra Pandu Adikara Rafif Taqiuddin Rafif Taqiuddin Rafly, Andi Rahman, Rafli Rahmat Adi Setiawan Ramadhan, Muhammad Fitrah Ramadhianti, Fatiha Randy Cahya Wihandika Randy Cahya Wihandika Ratih Kartika Dewi Refi Fadholi Rekyan Regasari Mardi Putri, Rekyan Regasari Mardi Renavitasari, Ivenulut Rizki Diaz Retno Indah Rokhmawati Retno Indah Rokhmawati, Retno Indah Revanza, Muhammad Nugraha Delta Reza Syahputra Rezka Aditya Nugraha Hasan Rezky Dermawan Rhobith, Muhammad Rian Nugroho Ridwan Adi Setiabudi Rifky Akhsanul Hadi Risa, Diva Fardiana Riski Darmawan Riza Setiawan Soetedjo Rizal Setya Perdana Rizkey Wijayanto Rizkia Desi Yudiari Rizky Adinda Azizah Rizky Muhammad Faris Prakoso Robi Dwi Setiawan Rochmawanti, Ovy Rona Salsabila Said Atharillah Alifka Alhabsyi Salsabila, Rona Samuel Arthur Satrio Agung Wicaksono Satrio Agung Wicaksono Satrio Hadi Wijoyo Satrio Hadi Wijoyo Satrio Wicaksono Satyawan Agung Nugroho Satyawan Agung Nugroho Shinta Aprilisia Sifaunnufus Ms, Fi Imanur Sigit Adinugroho Sinana, Admi Rut Sintiya, Karena Siswahyudi, Puad Siti Mutdilah Sofyanda, Erika Yussi Sri Wulan Utami Vitandy Sueddi Sihotang Sugihdharma, Joseph Ananda Sulandri, Sulandri Sutawijaya, Bayu Syahidi, Aulia Akhrian Syahputra, Indra K. Taufik Hidayat Timothy Julian Tirana Noor Fatyanosa, Tirana Noor Titus Christian Ubaydillah, Achmad Afif Utaminingrum, Fitri Vasha Farisi Sarwan Halim Very Sugiarto, Very Vivy Junita Wafi, Muhammad Wahyu Ardiansyah, Mohammad Wahyu Satriyo Wibowo Wahyudi, Hafif Bustani Wayan F. Mahmudy Wayan Firdaus Mahmudy Welly Purnomo Whita Parasati Wicaksono, Satrio A. Wicky Prabowo Juliastoro Windy Adira Istiqhfarani Wiratama Ahsani Taqwim Wirdhayanti Paulina Yoga Tika Pratama Yudi Muliawan Yuita Arum Sari Zafira, Sabrina Ella Zayn, Afta Ramadhan Zulfikarrahman, Muhammad