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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

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Pengembangan Aplikasi Native Pelaporan Kerusakan Jalan Pada Platform iOS Alfin Taufiqurrahman; Fajar Pradana; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 3 (2019): Maret 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Road damage is a common thing found on city streets. Not a bit of road damage causes discomfort in driving to cause accidents. Not a few people are anxious about the road conditions. The amount of public desire to be able to report road damage so that roads can be repaired quickly is quite high. Therefore, a facility is needed for the community to be able to easily and quickly convey their concerns regarding road damage. The Laporjalan application offers these conveniences. By using the geotagging feature and taking pictures with an iOS-based smartphone camera. Using the Firebase database as online storage, users can also find out which roads have road damage, from the level of minor damage to severe damage and monitor the progress of damaged road reports that have been sent. The road damage report sent by the user will be used by the relevant agency as additional information for road repairs. Developed with an iterative method, Laporjalan applications can easily adjust its features to user needs. Based on the results of testing with usability testing, obtained a value of 74 for Laporjalan application, where this value falls into the category of acceptability rating with the level is good so that this application can be said according to user needs.
Perbandingan Double Moving Average dan Double Exponential Smoothing untuk Peramalan Jumlah Kedatangan Wisatawan Mancanegara di Bandara Ngurah Rai Cinthia Vairra Hudiyanti; Fitra Abdurrachman Bachtiar; Budi Darma Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 3 (2019): Maret 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Every year the number of international tourist arrivals in Bali always increases (BPS, Statistics Indonesia). Increasing the number of international tourist arrivals will have an impact on the availability of facilities, infrastructure, and services for the airport or Angkasa Pura I. Many things affect foreign arrivals, resulting in the need forecasting the number of foreign arrivals whose results can be used by Angkasa Pura I as the airport manager and local government to improve services. This research forecasting is done using Double Moving Average and Double Exponential Smoothing. Accuracy calculation is done by using Mean Absoulte Percentage Error (MAPE). The data used are 120 data, from January 2008 to December 2017, and obtained from the official website of Statistics Indonesia. From this study testing in 2017 found the best time order value for the Double Moving Average is 2 and Double Exponential Smoothing with parameter 𝛼 = 0.4. From these parameter values, the MAPE Double Moving Average value is 10,522 and the MAPE Double Exponential Smoothing value is 3,355. At Double Exponential Smoothing has a value below 10, it is said to be very good, while the Double Moving Average with a value above 10 is said to be good. It can be concluded that Double Exponential Smoothing has better accuracy than Double Moving Average in forecasting the number of arrivals of foreign tourists at Ngurah Rai Airport.
Klasifikasi Penyakit Kelamin Pada Wanita Dengan Menggunakan Kombinasi Metode K-Nearest Neighbor Dan Naive Bayes Classifier Dimas Angga Nazaruddin; Fitra Abdurrachman Bachtiar; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Venereal or Sexually Transmitted Disease (STD) are still a public health problem in developed and developing countries. Expert stated that health problems caused by venereal disease are higher in women. symptoms experienced have similarities between one and other venereal disease. Lack of knowledge possessed by patients can cause more severe. Therefore, to reduce the level of problems in self-examination, research is needed to classifying female veneral disease to find out the types of infectious diseases. Various methods can be used in classification. including using K-Nearest Neighbor (KNN) and Naive Bayes Classifier. The combination of these two methods has advantages that include no need to discretize more on continuous variables. So that in this study the KNN and Naive Bayes Classifier method will be combined to classify venereal diseases, especially for women because both of these methods have a high degree of accuracy in studying a disease so it is expected to predict probabilities based on testing data. In this study the accuracy test of the combination of the K-Nearest Neighbor and Naive Bayes Classifier methods was 97.5% using an average accuracy and 99.17% using the confusion matrix for the nearest number of neighbors as K = 5.
Klasifikasi Status Gizi pada Balita Menggunakan Metode Extreme Learning Machine dan Algoritme Genetika Nabila Lubna Irbakanisa; Imam Cholissodin; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Nutritional problem is one of serious problems. Because nutrition does not only concern in survival, but also relates to the quality of someone's life. In this case, the examination of child nutrient by medical personnel is generally done by archiving, namely by recording manually, and then analyzed. But by doing the analysis manually, it makes the vulnerability of inaccuracy in identifying nutritional status, and takes longer time because it is less practical. Based on these problems, the authors apply the Extreme Learning Machine (ELM) method and Genetic Algorithm to classify nutritional status in toddlers quickly and accurately. In this research, Genetic Algorithms used for finding the best input weight, which will then be used to determine the value of nutritional status using ELM. After testing, obtained an average accuracy of ELM - Genetic Algorithm is 72.3529% with the number of popsize is 100, 34 iterations, crossover rate 0.6, mutation rate 0.4, and 2 hidden neuron. While the accuracy obtained from the ELM is 67.6471%. The result also shows that the addition if Genetic Algorithm on ELM can improve the accuracy.
Pengembangan Sistem Informasi Review Smartphone Studi Pada TNT Cell Bojonegoro Aulia Septi Pertiwi; Fajar Pradana; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

88% smartphone users read reviews about smartphone. Smartphone reviews can be found on various websites. TNT Cell is one of the mobile counter that sells various brands of smartphone. One of business process at TNT Cell is the consultation process about smartphone, some of the customers can't understand well about the advantages and disadvantages of smartphone, although it has been explained by the officer. That case will affects the process of customer decision making. Based on these problems an information system about smartphone review was developed. This system will give the customer information about smartphones by review from several websites and conducting sentiment analysis on reviews. Web scraping methods are used in this system to extract reviews from sites priceprice.com, pricebook.co.id, and iprice.co.id. In the process of sentiment analysis, one of the classification methods that used was Support Vector Machine. The software development method that used in this research is the waterfall model method. The testing technique that used on this research are validation testing, compatibility testing, and usability testing. The result of validation testing is all of the given test case are valid, that mean the system has been built appropriate with the user requirement.
Pengembangan Sistem Pelaporan Kerusakan Jalan Berbasis Android Untuk Daerah Kota Malang Menggunakan Konsep Crowdsource Ardi Wicaksono; Fajar Pradana; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In the city of Malang, there are many traffic jams at many points, both on the protocol road and on the roads of the village. Apart from the fact that Malang City has a large population, the density of transportation or congestion that occurs is also caused by damage to the road. This is also a factor in the occurrence of traffic accidents on the highway. Damages to the road cannot be quickly handled by the Malang City government. This is because the city of Malang has a fairly large area of 110.6 square kilometers, and the survey process that must be carried out is quite time-consuming and costly. Difficulties are also experienced by people who want to report a road damage, including because they do not know the procedures that must be done to report. The Road Reporting System, offers a reporting mechanism, whereby the reporter can send his report anywhere in the city of Malang to the Binamarga official in Malang City, and the Malang City office will be easier to collect road damage data. The Road Reporting System consists of two applications, namely, a reporting application built on the Android platform for reporters, and an admin application built on the nodeJs web application platform for Malang City services.
Implementasi Sistem Penilaian Kinerja Karyawan Dengan Menggunakan Metode AHP-TOPSIS Untuk Rekomendasi Pemilihan Karyawan Tetap Dedi Romario; Fitra Abdurrachman Bachtiar; Nanang Yudi Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The role of the workforce as Human Resources (HR) that runs operational tasks within the company has an important role in the success of the company. To get a competent workforce it is necessary to conduct an assessment process for the workforce to be appointed as permanent employees in a company. It is also applied by one of the companies in the field of express courier and logistics PT. Tiki Jalur Nugraha Ekakurir or commonly known as JNE. To reduce subjectivity in the assessment process it is necessary to give weighting to each criterion to be used in the assessment process. Analytical Hierarchy Process - Technic for Preference Order by Similarity to Ideal Solution method is one of the combined methods that can help to support decisions in recommending employees. Where AHP is applied to look for priority weights criteria and TOPSIS is applied to rank alternative employees. Accuracy testing is done by using comparison criteria data provided by JNE. The test data used is data from employee recommendations in 2017 as many as 33 employee recommendation data. The results of accuracy testing conducted found that the system's accuracy rate was 69% for permanent employee recommendations, 50% for contract extension, and 80% for contract termination recommendations. In the system acceptance test using the SUS method the value obtained is 80 which in the range of values is the range of "acceptable" values in the SUS scale
Optimasi Fungsi Keanggotaan Fuzzy Tsukamoto dengan Algoritme Genetika pada Peramalan Harga Emas untuk Stock Trading Ficry Agam Fathurrachman; Fitra Abdurrachman Bachtiar; Imam Cholissodin
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Investors and stock traders need knowledge of forecasting when the price of gold will rise or will decline to minimize the risk in investing. This forecasting requires an appropriate method in order to give good results. FIS Tsukamoto is used to forecast the price of gold based on existing exchange rate data. The parameters used by Tsukamoto FIS are the currency rates of USD / GBP, CHF / USD, JPY / USD, EUR / USD based on the previous three days and the price of gold based on the previous day. To maximize Tsukamoto FIS performance, Tsukamoto FIS membership function will be optimized using Genetic Algorithm. The chromosome representation used is real-coded with a double data type. The reproduction of the crossover method used is one-cut point, while the mutation method used is random mutation. In the selection process, the method used is elitism selection to get the best individuals. Based on parameter testing carried out with 10 experiments each parameter, the best population size is 180, combination of cr = 0.9 and mr = 0.1, and the best number of generations is 325, the best fitness value is 8.6972. The Root-Mean Squared Error (RMSE) value obtained before optimization is 13.3611, while after optimization it is obtained that the smaller RMSE value is 12.5801. These results indicate an increase in the value of accuracy in Tsukamoto FIS after being optimized using Genetic Algorithm.
Klasifikasi Rating Berdasarkan Komentar Tempat Wisata Di Media Sosial Dengan Menggunakan Metode Fuzzy K-Nearest Neighbor Nanda Ajeng Kartini; Fitra Abdurrachman Bachtiar; Indriati Indriati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 5 (2019): Mei 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

At present, with the ease of access to information, many tourist sites use rating features to help facilitate information. Rating is used as an indicator to support quality and popularity. Users only give an overall assessment of each comment and do not provide an assessment in accordance with the aspects discussed, making it difficult for comment readers to analyze the superior aspects of the comment. From this problem, in this study a rating classification system will be made on tourist attractions using the Fuzzy K-Nearest Neighbor (FKNN) method. FKNN method is one of the development methods of the KNN method, the difference is that there is a membership class to determine the classification class. In addition, this study uses a Lexicon Based dictionary to determine feature extraction. The results of the tests in this study showed the highest accuracy of K=20 values of 60% while the accuracy of precision and recall values reached 40% and 40% respectively. In testing the K-Fold Cross Validation with 5 fold it produces an average of 51.4%.
Pengembangan Sistem Point Of Sale Berbasis Web Pada Edd's Waffle Untuk Mendukung Penjualan Restaurant Said Atharillah Alifka Alhabsyi; Fajar Pradana; Fitra A. Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 5 (2019): Mei 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Culinary business is a business that is available in every region both on a small and large scale. Edd's Waffle, is a restaurant located in Pekanbaru with variant price of food and beverages that become popular among teenagers. Nowadays, Edd's Waffle uses a standard cash register, the Cash Register Sharp XE-A102 to support sales transactions. This standard cash register leaves a lot of problems in terms of sales development due to its ability to only be able to print sales receipts and provide financial reports in X-reports and Z-reports containers. To solve this problem, a point of sale system was developed to support Edd's Waffle both in terms of sales and information optimization. This point of sale system provides key features such as adding transactions, observing sales transaction history and sales progress charts, estimating revenue predictions, and identifying sales trends that contain the lists of products and best-selling product combinations. In term to optimize current data, this system utilizes 2 algorithms that contained in data mining techniques. The first algorithm is Holt Exponential Smoothing to predict Edd's Waffle's income. The selection of this algorithm is because the existing pattern of data movement is dynamic, which tends to change and is not bound by certain variables. Whereas the second algorithm is Apriori, to analyze the trends in every sold product, so that it produces information to get the combination of potential products to be paired. This system is built on web platforms. This system has been tested using unit testing and integration testing using the Whitebox method and validation testing using the Blackbox method. Beside of that, usability testing is measured using the System Usability Scale method, which the final score is 87.5 (acceptable).
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