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All Journal International Journal of Electrical and Computer Engineering International Journal of Reconfigurable and Embedded Systems (IJRES) ComEngApp : Computer Engineering and Applications Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Teknologi Informasi dan Ilmu Komputer Register: Jurnal Ilmiah Teknologi Sistem Informasi Journal of Information Technology and Computer Science Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Dahnial Syauqy
Fakultas Ilmu Komputer, Universitas Brawijaya
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Social Sciences Other

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Sistem Identifikasi Jenis Makanan dan Perhitungan Kalori berdasarkan Warna HSV dan Sensor Loadcell menggunakan Metode K-NN berbasis Raspberry Pi Muhammad Rizqi Zamzami; Dahnial Syauqy; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 3 (2021): Maret 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Overweight and obesity are still common diseases in this world, which is caused by an unhealthy lifestyle, one of which is consuming excessive food. This excessive food consumption is caused by several factors, namely emotional problems, environmental and social conditions and certain physical conditions. If food consumption is not controlled and is not balanced with a lot of body activity, it will cause calorie accumulation in the body, resulting in obesity and obesity and a risk of disease. One way to overcome this is by controlling yourself in consuming food by measuring the number of calories that will be consumed. From these problems, a system is made to measure food calories by identifying the type of food and measuring the weight of the food. The identification of these foods uses the k-Nearest Neighbor method and the Loadcell sensor to read the weight of the food being measured. The system will capture images and read the weight of the food measured through the camera module and loadcell sensor. The image is then processed on the Raspberry Pi 3 B to extract the color value from the mean HSV. Furthermore, the extraction results are used as a feature to identify the type of food which is used to measure food calories based on the identification and measurement results of the Loadcell sensor. The results of the system will be displayed on the 16 × 2 LCD screen. The system test uses 5 samples for each type of food. From the test results, the accuracy at k = 3 is 96%, at k = 5 is 92% and at k = 7 is 92%.
Pengembangan Sistem Pengenalan Bahasa Isyarat dengan Sensor Akselerometer menggunakan Metode Naive Bayes Gunawan Wahyu Andreanto; Dahnial Syauqy; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 3 (2021): Maret 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Communication is the process of delivering information in social life. However, people with hearing impairments have difficulty exchanging information because of their limitations. The Indonesian Government's solution to this problem is the standardization of the Indonesian Sign Language System (SIBI). Previous research has been carried out related to SIBI alphabet sign recognition with flex sensor and MPU6050 using the Naive Bayes method. However, from 130 tests, the research only produced an accuracy about 43.85%. The problem is due to the limitations of the flex sensor orientation reading accuracy. From these, development research was carried out to improve the accuracy of SIBI sign recognition. From these, development research was carried out to improve the accuracy of SIBI sign recognition. In this study, there were 6 units of MPU6050 that functioned as finger and opisthenar orientation readers. Sign recognition using the Naive Bayes method based on the sensor orientation reading. The research produces data suitability between the controller and the Android application is 100% that the application can be used as a data media representation, Mean Absolute Percentage Error (MAPE) of the sensor readings at 1,471% from 24 tests, classification accuracy rate at 92.31% from 78 tests, and the average processing time at 20 ms from 20 tests.
Sistem Pendeteksi Kematangan Buah Apel menggunakan Metode Naive Bayes berbasis Embedded System Irvan Ramadan; Dahnial Syauqy; Rakhmadhany Primananda
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 4 (2021): April 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Apple fruit is one of the many types of fruit that has many benefits including preventing disease, nourishing the body and can lose weight. In general, some apple sellers are still unable to distinguish in the selection of apples with the right maturity level, while the human accuracy is not all the same. Everyone has different perceptions in making assessments. Also not everyone has a sharp sense of vision to color. Therefore, a study was made on a system that can classify the level of maturity of apples using the naive Bayes method. This method is a method that is quite good in classifying because the classes to be used are predetermined. In this study, the apple used was Rome Beauty. The level of maturity based on color and weight can be divided into three, namely raw green and ripe reddish yellow and foul yellow cloudy. The sensor readings are processed on the Arduino Uno microcontroller. The results obtained from this study are the level of accuracy on the load cell weight sensor of 96.09% and the level of accuracy on the color sensor of 96.67%. Also obtained the level of accuracy of the calculation of the naive Bayes classification of 100% and the system execution time with an average of 0.725 seconds.
Implementasi Pengiriman Data Secara Nirkabel pada Palang Pintu Sungai untuk Mitigasi Bencana Banjir berbasis nRF24L01 Yusriansyah Shohibul Hamzah; Mochammad Hannats Hanafi Ichsan; Dahnial Syauqy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 5 (2021): Mei 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Flooding is still a difficult problem to solve, especially in big cities, especially during the rainy season. At the peak of the rain with high rainfall, the river is difficult to fill the large water discharge. For development of river water flow that has more water discharge, sluice gates are used to build the discharge in the river flow. By using a doorstop that is connected wirelessly to minimize flooding, so that the air can be controlled with the communication system between the latches properly. The mechanism used is to send sensor data to Arduino mega2560 as a microcontroller with nRF2L01 as the sender, using fuzzy logic to determine the latch opening of the river floodgates, and Simple Additive Weighting to see rainfall and received by Arduino nano which has nrf24l01 as a receipients where the average error percentage is 0,12%. The results obtained for calculating the rain sensor module when tested are in accordance with the conditions and output. And for the water level there is a sensor difference of 0.1375%.
Wireless Sensor Network Sebagai Perangkat Akuisisi Data Suhu & Kelembapan Tanah Pada Tanaman Buah Naga Adit Ilmawan; Hannats Hanafi Ichsan; Dahnial Syauqy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 6 (2021): Juni 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Pitaya or better known as dragon fruit's plant is a cactus plant that quite popular in Indonesia, because of its rich nutrition and unique shape, The plant has high economic value causes for the community especially for farmers. Ideal air temperature and soil humidity are needed in the cultivation process to maintain plant sustainability and good yields. Therefore a node based system on the Wireless Sensor Network was designed. DHT-11 sensor is used to detect air temperature and humidity, the soil moisture sensor is used to detect soil moisture, the reading data will be processed by arduino nano and sent using nRF24L01 module based on time by RTC module. There are 4 nodes that act such as a sensor node, router node and server node. The Router node becomes mediator between sensor and server nodes so that reducing the risk of packet loss due to the distance of nodes and besides that the node also acts as sensor node, while the topology used in the system is a tree topology. The result showed that DHT-11 modules and Soil Moisture good enough in reading where the result showed above 80%. The packets delivery test on nRF24l01 module showed all packets sent have successfully arrived to receiver.
Implementasi Sistem Pendeteksi Sleep Apnea Berdasarkan Interval QRS Dan Durasi Gelombang P Menggunakan Metode Support Vector Machine Muhammad Jibriel Bachtiar; Rizal Maulana; Dahnial Syauqy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 6 (2021): Juni 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The pumping of blood throughout the body is carried out by the most important organ in the body, namely the heart. Because the heart is the most important organ, the higher the risk of a disorder, one of these disorders is Sleep Apnea. Sleep Apnea is a respiratory disorder that causes breathing to stop momentarily for several times during sleep. Sleep apnea detection can be done in various ways, one of which is by means of a device called an Electrocardiogram (ECG). The way this tool works is by recording the signal issued by the heart when it beats. Currently, to detect Sleep Apnea requires a large amount of money and can only be done in a hospital. For this reason, a sleep apnea detection study was created which allows users to not have to pay expensive fees and can be done anywhere. The features for the detection of Sleep Apnea in this study use the value of the QRS Interval and the Duration P of the ECG signal generated. With the AD8232 sensor and 3 electrodes attached where 2 are attached to the chest and 1 electrode on the abdomen, the ECG signal will be detected. Signal processing and classification are carried out when signal data is obtained from the sensor using the Support Vector Machine (SVM) classification on the Arduino Uno microcontroller. A total of 48 training data and 24 test data were used for determining and testing the accuracy of the SVM. 20 normal data and 28 Sleep Apnea data were used as training data and 10 normal data and 14 Sleep Apnea data were used as test data. The “Normal” class or “Sleep Apnea” class is obtained and displayed when the SVM classification results have been assigned. 83.3% of accuracy is obtained from the SVM classification trial which has an average computational training time of 9.78 seconds and an average computation testing of 0.7 seconds.
Sistem Rute Terpendek Pencarian Buku Di Perpustakaan Menggunakan Algoritme Dijkstra Muh. Syifau Mubarok; Dahnial Syauqy; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 6 (2021): Juni 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The library is considered as a convenient place to read, because the library provides a collection of books and other publications services that are provided to the general public or certain groups. Lots of information can be obtained from the library includes scientific, recreational, religious and entertainment that are human needs. However, according to a survey conducted by UNESCO in 2015 stated that the reading interest of Indonesian society is very low. The lack of interest in reading the community can be affected by several factors such as, the minimal number of libraries and the lack of decent facilities in the library. For example, the more extensive a library, the more variations of book categories and certainly directly proportional to the large number of shelves arranged. Doing a random search manually is the way that most often done, so it will wasting time, especially if the library visitors are visiting the library for the first time and don't know the location of the shelves and the arrangement of the book placement. With the research located on the white label room of the central library of Brawijaya University, the writer made an Arduino-based system which was planted in a book basket, which in the system contained a list of book categories in the library as well as the shelf location where the books were stored. The visitors only need to select the category of books that they want to borrow then the system will process it. The resulting output is the shortest bookshelf route through the LCD on the system by first mapping the existing bookshelves in the library by calculating the shortest distance of the book sought on the nearest shelves from the starting point. With the research located on the white label room of the central library of Universitas Brawijaya, the results from 10 random route search samples the system succeeded in determining the right route with an accuracy value of 100%. It is proven that the system works well besides of that the kind system is an embedded system that is installed in a book basket, so it will make it easier for the visitors if they want to borrow a lot of books in large quantities. On another test was done by testing the execution time required by the system to find the shortest route, the results of 10 tests using random samples only require a very short time with an average of 4.2 milliseconds.
Deteksi Orang Bermasker Medis Menggunakan Metode Convolutional Neural Network Berbasis Raspberry Pi Bimo Dimas Nugraraga; Hurriyatul Fitriyah; Dahnial Syauqy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 6 (2021): Juni 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In the COVID - 19 pandemic, mask is an important commodities. The usage of masks is very important to prevent transmission of COVID - 19, especially in important institutions such as Hospital. Medical mask is very good to prevent transmission of COVID - 19 because medical mask has 3 protective layers. The Detection Of Medical Mask Using Raspberry Pi Based On Convolutional Neural Network aims to prevent the spread of COVID - 19 in hospitals by preventing people who do not use medical mask from entering hospitals. This system consist of a webcam, Raspberry Pi 4, and solenoid lock. Image processing is done by converting the color from RGB to YCbCr to detect medical masks and remove the background. This system use Convolutional Neural Network for classification method. The solenoid lock will open if the result of the classification is a medical mask and will be locked if the result of the classification is a non-medical. In this study, testing was carried out at 5 different distances, namely distances of 0.5 meters, 1.0 meters, 1.5 meters, 2.0 meters, 2.5 meters. Overall accuracy of this system is 97%. The average execution time of this system is 0.563271 seconds.
Rancang Bangun Simulasi Robot Beroda Untuk Pengiriman Barang Di Dalam Gedung Berbasis Metode Particle Filter Reza Budi Pratikto; Eko Setiawan; Dahnial Syauqy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 6 (2021): Juni 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The F building at the Faculty of Computer Science, Universitas Brawijaya hold 12 floors and has separate rooms which arranged in several dividers between rooms where each floor in the building has different functions and jobs, in a words, a coordination for logistical assistance or file delivery is indispensable. Current document delivery activities generally depend on the workforce of employees, and are quite time consuming and cause a lack of concentration on employees doing their own work. Therefore in this study the researcher will focus on discussing the design of a wheeled robot for logistics delivery in the building. The system were designed in a simulation used ROS-Gazebo to run the robot and the method used to run the robot were using a Particle Filter. The robot's particle filter works by localized its position by spreading a number of particles around it so that the particles can represent the robot's position. Particle Filter test can be done by determining a certain number of particles, testing the accuracy of its position and computation time for 5 times. In later testing, it was found that the number of particles that had high accuracy was at 50 particles with an average computation time of 292.08 ms for each number of particles tested. The results show that the time and the number of particles are optimum in the F9.3 building environment located at the Faculty of Computer Science, Universitas Brawijaya.
Rancang Bangun Simulasi Robot Beroda untuk Pengiriman Barang di dalam Gedung berbasis Metode Particle Filter Reza Budi Pratikto; Eko Setiawan; Dahnial Syauqy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 8 (2021): Agustus 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The F building at the Faculty of Computer Science, Universitas Brawijaya hold 12 floors and has separate rooms which arranged in several dividers between rooms where each floor in the building has different functions and jobs, in a words, a coordination for logistical assistance or file delivery is indispensable. Current document delivery activities generally depend on the workforce of employees, and are quite time consuming and cause a lack of concentration on employees doing their own work. Therefore in this study the researcher will focus on discussing the design of a wheeled robot for logistics delivery in the building. The system were designed in a simulation used ROS-Gazebo to run the robot and the method used to run the robot were using a Particle Filter. The robot's particle filter works by localized its position by spreading a number of particles around it so that the particles can represent the robot's position. Particle Filter test can be done by determining a certain number of particles, testing the accuracy of its position and computation time for 5 times. In later testing, it was found that the number of particles that had high accuracy was at 50 particles with an average computation time of 292.08 ms for each number of particles tested. The results show that the time and the number of particles are optimum in the F9.3 building environment located at the Faculty of Computer Science, Universitas Brawijaya.
Co-Authors A. Ashar Ashari A. Baihaqi Mubarok Abdul Aziz, Muhammad Rafi Abdul Rahman Halim Abdussalam, Ghifarie Sa'id Achmad Basuki Achmad Fanani Kurniawan Saputra Achmad Rizal Zakaria Addin Miftachul Firdaus Adharul Muttaqin Adhisuwignjo, Supriatna Adhitya Bhawiyuga, Adhitya Adi Setiyawan Adinugroho, Sigit Adit Ilmawan Adryan Chiko Pratama Afdy Clinton Afflatuslloh Adi Salung Agastya Bramanta Sanjaya Aghnadiin, Radifan Muhammad Agi Putra Kharisma Agra Firmansyah Agung Bachtiar Sukmaarta Agung Leona Suparlin Agung Prasetyo Agung Setia Budi Agung Setia Budi, Agung Setia Agung Widya Gumelar Agung Wismawan Rochmatullah Ahmad Mustafidul Ibad Ahmad Rizqi Pratama Ahmad Wildan Ahmad Yazid Bastomi AJI, IBRAHIM Akbar, Muhammad Daffa Pradipta Akbar, Muhammad Faithur Adel Patria Alfian Reza Pahlevi Alrynto Alrynto Althaf Banafsaj Yudhistira Andhika Nino Pratama Anggi Diatma Styandi Angsar, Mohamad Rinaldi Anisa Awalia Rizky Anjasmoro, Reza Ardiansyah Ardiansyah Arief Kurniawan Arief Wahyu Wicaksono Aulady, Fadhli Aulia Zhafran Barlian Henryranu Prasetio Bayu Rahayudi Bayu Santoso Belsazar Elgiborado Giovani Djoedir Billy Gusparentaqi Bima Muridianto, Muhammad Bimo Dimas Nugraraga Buce Trias Hanggara Bukhori Darmawan Bunga Boru Hasian Siahaan Cahyanita Qolby Rahmarta Rizaputri Cipto Bagus Jati Kusumo Constantius Leonardo Pratama Dading Firwandhi Sukma Daffa, Ali Zhafran Dedi Siswanto Defri Alif Raihan Denis Reza Ramdani Devo Harwan Pradiansyah Dimas Rizqi Firmansyah Dini Eka Ristanti Dini Ismawati Duwi Hariyanto Dwi Arini, Talitha Dwi Firmansyah Dwiki Ilham Bagaskara Dyas Restu Palupi Edita Edita Rosana Widasari Edita Rosana Widasari, Edita Rosana Eka Nanda Sugianto Eko Ardiansyah Eko Hilmi Firmansyah Eko Setiawan Eko Setiawan Elisabeth Agustina Era Imanningtyas Ezra Maherian Fachry Ananta Fahmi Gymnastiar Gozali, Muhammad Faizal Ardiansyah FAQIH, ABDULLAH Farras Nabil Fatur Rahman, Mohammad Fauzi Ali Farhi Fauzi Rivani Fikri Fauzan Firdy Yantama Firmanda, Dwi Ady Firza Zamzani, Muhammad Fitriyah, Hurriyatul Fungki Pandu Fantara Ganda Wibawa Putra Gembong Edhi Setyawan Ghazy Timor Prihanda Govinda Dwi Kurnia Sandi Graciella Fiona Br. Panjaitan Grafidi, Alif Akbar Gunawan Wahyu Andreanto Hafidz Abdillah Masruri Hafiz Nul Hakim Hamdan Bagus Firmansyah Hamzah Attamimi Hanggara, Buce Trias Hannats Hanafi Ichsan Haqiqi, Farih Akmal Harahap, Syazwandy Hazal Kurniawan Putra Hazbiy Shaffan, Nur Henryranu Prasetio, Barlian Herenda Madi, Matius Herwin Yurianda Hurriyatul Fitriyah Hurriyatul Fitriyah Hurriyatul Fitriyah, Hurriyatul Idang Wahyuddin Septiawan Ihsanurrahim Ihsanurrahim Ikhwan Zulfy Imam Cholissodin Irfan Pratomo Putra Irvan Ramadan Issa Arwani Ivan Kasogi Izaaz Waskito Widyarto Izza Febria Nurhayati Jeffry Atur Firdaus Jevandika Jezriel Lukas Lumbantobing Johannes Archika Waysaka Khairul Anwar Khairul Anwar Kresna Wiska Kafila Kurnia, Yudisthira Dwi Kurniawan, Rizaldy Ariobimo Kurwniawan, Wijaya La Ode Muh. Fadlun Akbar Lase, Nicolash Jeremy Onoma Latief Nurrohman Alfansuri Lavanna Indanus Ramadhan Lb Novendita Ariadana Lutfi Anang Makruf M Nuzulul Marofi M. Adib Fauzi Rahmana M. Ali Fauzi Mahendra, I Gusti Putu Krisna Suaba Malik, Hifdzul Megananda, Muhammad Rifqi Mela Tri Audina Merry Hassani, Fadila Muqtadaro Mhd. Idham Khalif Moch. Alfian Zainullah Moch. Alvin Yasyfa Salsabil Mochamad Iswandaru Mochammad Hannats Hanafi Mochammad Hannats Hanafi Ichsan Moh. Saifud Daulah Moh. Zainur Rodhi Mohammad Ali Muhsin Mohammad Faizal Ajizi Muchamad Rafi Dharmawan Muchammad Cholilulloh Muh. Syifau Mubarok Muhajir Ikhsanushabri Muhammad Alif Alfajra, Andi Muhammad Aminul Akbar Muhammad Daffa Bintang Nugroho Muhammad Eraz Zarkasih Muhammad Fadhil Sadeli Muhammad Fajaruddin Akbar Muhammad Habib Jufah Alhamdani Muhammad Hanif Haikal Muhammad Hannats Hanafi Ichsan Muhammad Irvine Fidellio Maiza Muhammad Jibriel Bachtiar Muhammad Kholash Fadhilah Muhammad Naufal Muhammad Nazrenda Ramadhan Muhammad Rizqi Zamzami Muhammad Wingga Woggiasworo Muhammad Yusuf Ramadan Mukhamad Angga Setiawan Mukhamad Roni Mukmin Mukmin Munif Cleveriandy, Ahmad Musharrif, Mohammad Faiz Mustajib Furqon Haqiqi Mutiara Pramesti Utami Muzayyin, Asep Nabila Eka Putri, Alisya Nadhifa, Nadaa Nanda Epriliana Asmara Putri Navayo, Bagja Nicho Ferdiansyah Kusna Nikmatus Soleha Niko Aji Nugroho Noveriko Noveriko Nur Aini Afifah Isbindra Nur Fuady, Muhammad Sholahuddin Nurul Ikhsan Nyoman Wira Prasetya Oggy Setiawan Parja, Mujianto Anda Perkasa, Septiyo Budi Prakoso, Aldo Hani Pramandha Saputra Prasetya, Nyoman Wira Prasetyo, Budi Eko Prasojo, Satya Haryo Pricillia, Lidya Ruth Purnomo, Welly Putra Pandu Adikara Putra Pandu Adikara Putra, Brylliano Maza Raga Jiwanda Raharja, Kahfi May Rahayu, Vina Trisnawati Rahman, Edy Raka Bagas Perdana Rakhamadhany Primananda Rakhmadhany Primananda Rakhmadhany Primananda, Rakhmadhany Randy Cahya Wihandika Rekyan Regasari Mardi Putri, Rekyan Regasari Mardi Renal Prahardis Reza Budi Pratikto Rezak Andri Purnomo Rifqi Anshari Ringga Aulia Primahayu Rint Zata Amani Rioadam Sayyid Abidin Riza Irfan, Muhammad Rizal Maulana Rizal Maulana, Rizal Rizal Setya Perdana Rizka Ayudya Pratiwi Rizky Putra Wijaya Rizqi Muh. Muqoffi Ashshidiqi Ronilaya, Ferdian Rudy Agus Santoso Sabrian Rizqika Akbar Sabriansyah Rizkiqa Akbar Sabriansyah Rizqika Akbar Sabriansyah Rizqika Akbar Sabriansyah Rizqika Akbar Safirurrasul Santoso, Mush'ab Safrudin Bendang, Dehleezto Lawanangkara Salman Farizy Nur Samuel Lamhot Ladd Palmer Simarmata Santoso, Bayu Saputro, Mauna Mohammad Wahyu Sari, Sylvia Sentosa, Azy Dwi Putra Septino, Fernando Setiawan , Eko Shaffan, Nur Hazbiy Shelsa Faiqotul Himmah Sigi Syah Wibowo Siradjuddin, Indrazno Sulaiman, Ihsan Susilo, Faizal Andy Sutikno Sutikno Syarief Taufik Hidayatullah Syauqi, Mohd Alfitra Syazwana, Selvia Tibyani Tibyani Tio Haryanto Adi Putra Toar, Mikhael Ryan Tobias Sion Julian Utaminingrum, Fitri Utomo, Satria Wahyudi Vira Muda Tantriburhan Mubarak Virza Audy Ervanda Wahyu Adi Prayitno Welly Purnomo Widasari, Edita Rosana Widhy Hayuhardhika Nugraha Putra Wijaya Kurniawan Wijaya Kurniawan Wijaya Kurniawan Wijaya, Jason Wildo Satrio Wirafadil Nugraha Wisik Dewa Maulana Wisnu Mahendra Xavierro Lawrenza Yanottama Oktabrian Yudhistira, Gevan Putra Yuita Arum Sari Yunan Alamsyah Nasution Yunus, Ahmad Haykal Yurliansyah Hirma Fajar Yusriansyah Shohibul Hamzah Zahra, Inez Bedwina Zakaria, Akhmad Nizar