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All Journal International Journal of Electrical and Computer Engineering Jurnal Ilmu Komputer dan Informasi Lontar Komputer: Jurnal Ilmiah Teknologi 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

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Pengembangan Sistem Aplikasi Penilaian Sasaran Kinerja Dosen pada Unit Kepegawaian (Studi Kasus: Unit Kepegawaian Universitas Kanjuruhan Malang) Rizky Muhammad Faris Prakoso; Adam Hendra Brata; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 12 (2019): Desember 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

At Universitas Kanjuruhan Malang, the process of lecturer performance evaluation is related to the process of applying for promotion and lecturer certification. The current lecturer performance evaluation process uses an online assessment system, but has not been able to help lecturers more anticipate and measure the success rate in the process of applying for promotion and lecturer certification. In the old system the evaluation results file were still separated, making it difficult for the lecturer to use it for submission of promotions. Based on these problems, this research develops a lecturer performance evaluation system that accommodates the evaluation of lecturers evaluation results in the form of lecturer credits and can help lecturers to conduct simulations of evaluating the success of lecturer certification submissions and help lecturers to anticipate lecturers to submit lecturer promotions. In this research the requirement analysis process produced 37 functional requirement and 1 non-functional requirement involving 4 Actors, the design and implementation process produced architectural, components and interfaces designs with the results of code implementation, data implementation resulted in 8 data tables, and interface implementation. Implementation results were then tested with Whitebox testing using unit tests with 4 samples 100% valid and Blackbox testing using validation testing with 37 test cases 100% valid.
Pengembangan Sistem Travel Order Perjalanan Dinas Berbasis Android (Studi Kasus Kantor Pusat BPJS Ketenagakerjaan) Anggit Chalilur Rahman; Faizatul Amalia; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 1 (2020): Januari 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Submission of official travel BPJS Ketenagakerjaan Headquarters is a submission process carried out by employees to the head of the division. At this time, the BPJS Ketenagakerjaan Headquarters uses a website-based information system in the process of submitting official travel. However, there is the problem of the system which can only be accessed through a local server, so it is not possible to submit and approve official travel trips outside the office, and the systems that have not been directly integrated with the data in determining the accommodation to be used. Therefore, this research developed an android-based official travel application system that uses Application Programming Interface (API) technology to facilitate employees in determining the airline to be used. Also, the selection of an Android-based platform can also improve the functionality of the daily system because it is connected directly to the gadgets of employees. This development uses the waterfall development model, because the list of needs has been determined from the beginning. From this research, a travel information system for travel orders with 27 functional and one non-functional requirement was usability needs was produced. The system is intended for three types of actors namely order officers, Approval officials, and admins. This system has been tested by unit testing, validation testing, and usability testing using the System Usability Scale (SUS) questionnaire. Unit tests produce 100% valid status in six test cases and validation tests produce 100% valid status in 55 test cases, while usability testing results in an average SUS score of 68.75 on the order side, as well as an average SUS score with the number 75 on the official approval and admin.
Pengembangan Sistem Informasi Pencatatan dan Pelaporan Gizi Balita Timothy Julian; Fajar Pradana; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 3 (2020): Maret 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Posyandu is a health service facility that has the objective to provide health services for the local society, especially for mothers, babies, and toddler. However, based on the interview with one of the nutrition lecturers from FK UB, and with the midwife in charge at Krebet Village, Malang Regency, followed by observation on one of the Posyandu at Krebet Village, Malang Regency, there were several problems found at the Posyandu and on the midwife itself. Because of the process of recording of the health services at the Posyandu is still done manually, and still using many different documents, making the process of recording and making nutrition reports by the midwife vulnerable to mistakes and inorganization. This problem can lead to more mistakes, like for the children's health indication mistake in that area. To solve this problem, a web-based information system using waterfall SDLC and object-oriented approach was developed. On the requirements analysis phase, produced 4 actors, 33 functional requirements, and 1 non-functional requirements. From the results the requirements analysis phase, the design and implementation process using object-oriented approach carried out. The testing phase conducted using validation testing got the score of 100 % valid, as well as the user acceptance test (UAT) to 5 users got the score of 97.1 % acceptance rate, which means that the users strongly agrees to the system that has been made.
Analisis Sentimen Berbasis Aspek pada Ulasan Pelanggan Restoran Bakso President Malang dengan Metode Naive Bayes Classifier Whita Parasati; Fitra Abdurrachman Bachtiar; Nanang Yudi Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 4 (2020): April 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Bakso President Malang is a restaurant that has been established since 1977. The number of competitors in the same industry makes Bakso President Malang highly appreciate the opinions of customers regarding the products and services they provide to increase customer satisfaction. However, Bakso President Malang does not have customer opinion data, nor does the application of technology in processing and analyzing data that can produce information about customer perspectives on customer satisfaction aspects. One way to get the perspective of customers of Bakso President Malang on aspects of customer satisfaction is through sentiment analysis conducted at the aspect level. The method used for sentiment analysis is classification using the Naive Bayes algorithm. This study uses 2,152 customer review data from 2012 to 2019. Customer review data is obtained through Web Scraping techniques on the TripAdvisor and Google Review sites. Sentiment analysis in each aspect produces an accuracy value of 88% in the Food aspect, 76% in the Service aspect, and 84% in the Atmosphere aspect. The results of the sentiment analysis classification are visualized in the form of a dashboard that is accompanied by a filter based on time, aspects, and sentiments.
Analisis Sentimen Berbasis Aspek Ulasan Pelanggan Terhadap Kertanegara Premium Guest House Menggunakan Support Vector Machine Wirdhayanti Paulina; Fitra Abdurrachman Bachtiar; Alfi Nur Rusydi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 4 (2020): April 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Kertanegara Premium Guest House is one of the inns in the city of Malang, located on Jl. Semeru No.59. Kertanegara is very aware of the importance of the existence of E-WOM (Electronic Word Of Mouth) for the continuity of its business. E-WOM can be disseminated through customer reviews. Kertanegara has two sources of customer reviews namely Guest Reviews and online reviews on the OTA (Online Travel Agent) site. At present, the process of processing customer reviews is still focused only on Guest Review. But on the other hand, Kertanegara also has a review on the OTA website that needs to be processed because 90 percent of the booking process comes from the OTA website. One method that can be used to analyze and process the review text is sentiment analysis. Sentiment analysis is carried out at the aspect level to determine services and aspects that have negative or positive polarity using the Support Vector Machine (SVM) and Term Weighting (TF-IDF) methods. The review text data used in the Indonesian language comes from the sites of Agoda.com, Expedia, Pegi-Pegi, Booking.Com, TripAdvisor and has a timeline from 2012 to 2019. Testing the classification results produce an average Accuracy value above 70%. The results of the analysis are then visualized through a dashboard by displaying 6 important components so that it can assist Kertanegara in taking strategic steps to fix, improve and improve services that have negative polarity.
Pengembangan Sistem Monitoring Tingkat Stres berbasis Website Diva Fardiana Risa; Fajar Pradana; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 4 (2020): April 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Stress is the initial stage of the sequence of mental disorders such as depression, and others. Stress has a huge impact on the health of sufferers, but there are still many people who underestimate the existence of this stressful disease. The age of someone who is susceptible to stress is a teenager who is taking high school level education because adolescence is the age of a person to start thinking complex. One solution that has been provided to reduce the impact of stress is facilitating the counselling teacher for high school students. However, most students still feel reluctant to conduct guidance because of erratic schedules and feel ashamed. The development of Website-Based Stress Level Monitoring System aims to simplify the process of stress monitoring and consultation of students and counselling teachers. This system will be used by the counselling teacher, homeroom teacher and admin also by the Students. The Waterfall method is used in the process of developing this system by referring to 35 functional requirements and one non-functional requirement. Furthermore, the system is implemented in several programming languages ​​such as HTML, CSS, Javascript, PHP by using Laravel as a framework. In addition, this system also uses the API from Twitter and the Naive Bayes method library to help the process of capturing the status of students' tweets to conduct a stress level detection process which will be divided into 3 levels: low, medium and high. This system testing is carried out using the white box method for unit testing and integration and black box for conducting validation testing. This test resulted in 100% valid in 85 test cases. Non-functional requirements of the system have been tested by the Sortsite tool, indicating that this website can be operated on several search engines.
Klasifikasi Penyakit Dental caries menggunakan Algoritme Modified K-Nearest Neighbor Windy Adira Istiqhfarani; Imam Cholissodin; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 5 (2020): Mei 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Dental caries or commonly called cavities is a disease in which bacteria can damage the structure of dental tissue such as enamel, dentin, and cementum. Cause of occurrence dental caries is demineralization of tissue on the surface of the teeth of organic acid caused of foods that contain sugar. Caries that are not treated or controlled early can cause tooth decay that is getting worse and eventually tooth extraction. To find out more about the class of caries disease, a dental caries classification system was created using the Modified K-Nearest Neighbor (MKNN) algorithm. This method is a method that developed from the KNN method. The difference between the KNN algorithm and MKNN is calculation of the validity of training data and weight voting. In this study there were 6 classes and 8 symptoms or variables used. The test results of this study include testing the effect of k values, testing the effect of the amount of training data and test data, and its effect on distance. The results of the average accuracy of testing the value of k by 86% with the highest average of 90.66% when k = 3. Testing the effect of the amount of training data get an average accuracy of 71.1% with the highest accuracy of 86.7% on the amount of training data of 70 and for testing the effect of the amount of test data get an average accuracy of 82.2% with the highest accuracy of 86.7% on the amount of test data of 30. Testing the effect of distance get the same results of accuracy in the distance of Manhattan and Minkowski by 86.7%.
Pembangunan Sistem Chatbot Informasi Objek Wisata Kota Malang berbasis Web Rizkey Wijayanto; Fajar Pradana; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 5 (2020): Mei 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Malang City is one of the cities in East Java Province in Indonesia which has a lot of potential to be used as a tourist destination that can be visited by both domestic and foreign tourists. Data shows that the number of tourists visiting Malang is less than that of Batu City. The small number of tourists is caused by several factors. One of them is the lack of information related to tourist attractions in the city of Malang. To deal with these problems, a system development that aims to make it easier for tourists to get information about Malang city tourist destinations. In addition to finding information the system can also be used by tourists to submit proposed tourism locations that may not have been registered. Tourists can also provide value to tourist sites so that they can be used as a reference for tourism managers in building good tourism locations. The system was built using the Laravel framework which has more features than other frameworks and uses BotMan for the construction of chatbots in order to provide interactive information and with map support for more accurate location indicators. Testing is done by testing three aspects, namely unit testing, integration testing and validation testing in which all three tests produce a value of 100% valid. In compatibility testing we get the results that the system can run on 8 types of browsers. It is expected that this development will make it easier for tourists to access and obtain information about Malang City tourism.
Klasifikasi Ulasan Palsu menggunakan MDLText dengan Seleksi Fitur IG dan SMOTE Dary Ardiansyah Haryono; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 5 (2020): Mei 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Advancement of technology make buying product/service easier because the order can be made via online. Most people will consider reviews before buying product/service, so reviews greatly affect the number of product/service purchases. Therefore, fake review classification system was created using MDLText algorithm. In this research, comparing the accuracy, precision, recall and F-measure of 4 methods namely: MDLText algorithm, and MDLText algorithm with IG feature selection, MDLText algorithm with SMOTE, MDLText algorithm with SMOTE and IG feature selection. The data used are imbalanced data with a ratio of 1 fake review to 6 original reviews. Based on the test results, for the MDLText algorithm the results obtained from the change in the parameter α with a pretty good accuracy of 49,67% but with relatively low recall of 19,35%, precision 10,53%, and F-measure 13,64%. While the use of MDLText algorithm with IG feature selection is better when the threshold is 60% in terms of accuracy that is 77,48% but in terms of precision, recall and F-measure threshold 90% has a better value of 20,94%, 100% and 34,64%. In the use of MDLText algorithm with SMOTE, the most balanced composition values are at SMOTE 200% with an accuracy value of 60.93%, recall 9.68%, precision 8,82% and F-measure 9.23%. It can be concluded that the MDLText method is better with 200% SMOTE and 60% IG threshold feature selection in terms of accuracy, precision, recall and F-measure. For the k-fold validation testing the best result for accuracy, recall and F-measure at 2 fold with 81,55%, 12,5%, 7,69% and 9,52%.
Klasifikasi Stres Dalam Aktivitas Kerja Kantoran Menggunakan Algoritme Extreme Learning Machine dan Seleksi Fitur One-way ANOVA F-Test Dariswan Janweri Perangin-Angin; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 13 (2020): Publikasi Khusus Tahun 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Artikel dipublikasikan di International Conference on Sustainable Information Engineering and Technology 2020
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 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 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 Priyambadha, Bayu Pryono, Muhammad Adam 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 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 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 Zayn, Afta Ramadhan Zulfikarrahman, Muhammad