Claim Missing Document
Check
Articles

Implementasi Metode Klasifikasi Bayes Untuk Penentuan Keaslian Madu Lebah Berbasis Embedded System Ardiansyah Ardiansyah; Dahnial Syauqy; Tibyani Tibyani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (473.519 KB)

Abstract

Honey is a natural substance of the bees that carry a result plant secretions become flower's nectar. Bees are conserved with special care, will produce honey in a good quality. The benefits of honey are for health, beauty and food. We need a lot of time and cost to get honey in a good quality. Moreover, there are many honey's producer have mixed another ingredients like glucose, fluctose in pure honey to get a lot of profit income. The forgery of natural honey often did by seller. Therefore, technology needed to help society for testing authenticity of honey directly and quickly. To minimize these problems, this research has been designed a tool that can check the degree of authenticity of honey bees. In this research using some components that is Bayes methods or commonly called Bayessian Classification. Bayes method is one of method that can be used for processing inconsistent data and bias character. The function of color sensor TCS3200 is for checking the color of honey has been detected. Photodiode is an electronic device of semiconductor material that can be convert the light intensity in electric current, and pH sensors is a sensor that can measure the level of acidity accurately . Based on the results of testing accuracy, the level accuracy of clarification bayes method for honey's authenticity are 88,89%. While, the estimatin speed of time for processing system bayes methode to authenticity of honey has a speed average of 96,388ms.
Sistem Deteksi Lama Waktu Penyimpanan Daging Ayam Berdasarkan Warna Dan Kadar Amonia Berbasis Sensor TCS3200 dan MQ135 Dengan Metode Jaringan Syaraf Tiruan M. Adib Fauzi Rahmana; Dahnial Syauqy; Tibyani Tibyani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (691.766 KB)

Abstract

The length of time for storing chicken meat is the important factor that is related to the freshness and quality of chicken meat whether or not the meat is suitable for consumption. It is very important in determining the feasibility of chicken meat for consumption. In this research, it is designed a system that can be used fastly, accurately, and non-destructive. This system is implemented into an Arduino microcontroller by using gas sensors and color sensors as a measurement tool for determining chicken meat based on length of time storage. The process of inputting data is gained by data acquisition with two sensors, there are MQ135 gas sensor and TCS3200 color sensor which is able to read parameters in the form of ammonia levels and RGB colors. For the classification process, supervised learning algorithms are used from artificial neural networks that are able to recognize and group data based on predetermined targets at the beginning. There are 3 types of chicken meat based on the length of time storage. First, meat of chicken that are only slaughtered up to 12 hours long storage time. Second, it is stored longer than 12 hours up to 24 hours.The last, it has been stored for more than 24 hours. This research gave accuracy system of 86.7% in deciding time of period chicken meat time storage, by average computational time needed for 3.2 seconds.
Rancang Bangun GPS Back Track Pada Rekaman Rute Pendakian Menggunakan Sistem Embedded Agung Prasetyo; Dahnial Syauqy; Wijaya Kurniawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (665.807 KB)

Abstract

Mountain climbing is one of nature's exploration activities that requires knowledge in understanding the map and area to be passed. However, not all climbers have knowledge of navigation, its causing the risk of getting lost while climbing. Navigation assistant that exist, only guide climbers only first route to final destination and can't save the route that already passed, until it causes climber difficulty going back to first route when they lost. Because that, in minimizing te risk of lost, be required navigation assistant device that cloud show the route has been passed. Based on these problems in this research created a navigation device assistant technology called GPS back track. This device is built with several components such a, the U-Blox Neo 6 M GPS module that functions in retrieving GPS data in the form of latitude and longitude coordinates, LCD display 800 x 480 TFT function displays information in the recording process running routes, Raspberry pi 2B functions process data input and output during the process of recording the route and the main resources for running the entire system using power bank. GPS back track has a feature that is able to open the recorded file that has been created and displayed on the LCD display. Based on the results of GPS accuracy testing, it is known that the GPS module error percentage at latitude coordinates is 3.77505% and longitude is 3.698758%. While in the testing of device recording, tracks and trackbacks functions can record routes and display them on the LCD in the form of route lines that are passed.
Rancang Bangun View controller Menggunakan Sensor Akselerometer Pada Game Bus Simulator Sebagai Sarana User Experience (UX) Berbasis Sistem Embedded Bukhori Darmawan; Dahnial Syauqy; Mochammad Hannats Hanafi Ichsan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (628.309 KB)

Abstract

games with a different experience or could be said to feel the experience in playing the game.-Racing game on an awful lot of opportunities to apply user experience, on this occasion the researchers to develop a system to replace a mouse in-game play racing.Based on that required a system view controller, system implementation view controller is done with the arduino pro micro as mikorkontroler and MP9250 as input motion sensors are then connected to a laptop with media communications either a serial cable and installed on the user's head with a headband are embedded.To generate a different user experience in playing a game, the system is able to restrict the movement of the view controller with 40 ° restrictions to the movement of the user's head on when turned to the right and to the left so the user can freely when turned to the right and to the the left will be used.The system will be tested in its entirety from some corners that will result in the value of the angle with the value of the difference in average low RMSE where the system can already be used and tested by quantitative descriptive survey method of correspondence for 30 get the category values from the user experience.The results of the test are obtained by averaging the test angle sensor is approximately 0.2 ° and the corresponding user experience testing results systems were able to get a good category average based on feedback given by 30 users.
Kendali Kecepatan Putaran Motor Smart Wheelchair untuk Meredam Getaran pada Jalan Bergelombang dengan Metode PID Ganda Wibawa Putra; Dahnial Syauqy; Wijaya Kurniawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (439.317 KB)

Abstract

A wheelchair is a tool for people who have difficulty walking by foot. There are various types of wheelchairs, one electric wheelchair. In its application, the electric wheelchair users still experiencing inconvenience in the form of vibration is received due to the uncertain road conditions as well as the static motor speed control. Congressional control of the speed of rotation of the Motor the Smart Wheelchair that works by controlling the speed of a DC motor using PID method. Input system of sensors the IMU working as detector uneven road conditions. The results of the readings of the sensors the IMU in the form of the position on the x-axis, y-axis, and z-axis. Input from the sensors the IMU processed on NodeMCU method using the PID to determine the speed of the motor. PID process started off doing the giving the value of the setpoint, and the processing of data from the accelerometer has been transformed into a vector. The input of the sensor will determine the value of the vibration to be processed using the PID. After the output values obtained, electric motors will move in accordance with the magnitude of value of output where the motor can increase the speed up to the highest limit if road conditions. Conversely, if uneven road conditions then the motor will lower the speed up to dampen the shocks. The results of the testing of this system in the form of percentage of IMU sensors sensitivity of 90% and the percentage of the system's success in absorbing the vibrations of 80%.
Implementasi Sistem Kendali Kecepatan Kursi Roda Elektrik Menggunakan Kendali Proporsional Pada Kondisi Jalan Menanjak Dan Menurun Achmad Fanani Kurniawan Saputra; Dahnial Syauqy; Issa Arwani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 3 (2019): Maret 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (392.194 KB)

Abstract

Health is one of important thing, because an awful lot of diseases that can causing difficulties when moving, so we need tools like a wheelchair. wheelchairs have an awful lot of development, one of which namely electric wheelchairs. The application of electric wheelchair still not have a feature to adjust the speed while on the uphill and downhill road conditions so that safety and comfort will be reduced. Speed control system using proportional control while on the condition of the streets uphill and downhill works by checking the condition of the slope sensor path with GY-521 MPU6050 whose value will be used as the parameters change speed maximum. the speed read by the Encoder FC-03 was calculated using proportional control which will produce output to set the speed of the motor and will always check if it's value has reached set point is expected. on the uphill road conditions the system will add speed to the value of RPM can match the set point, whereas at the moment the road conditions decreased system will lower the speed so the RPM value can be fixed in accordance with the set point. The testing results of this system show the percentage success system when uphill road condition of 78.5% and when downhill road condition is 85.61%.
Implementasi Algoritme Mapping Dengan Backtracking Pada Mobile Robot Dalam Maze Fikri Fauzan; Dahnial Syauqy; Rizal Maulana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 3 (2019): Maret 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (454.689 KB)

Abstract

Autonomous Mobile Robot is rife in many researches especially the Maze Wall Follower robot that can find its way out of a very complicated labyrinth. In this study the Robot Maze Wall Follower using Backtracking algorithm is to trace all possible paths in the maze and recognize each node that is passed so as not to repeat the path that has been passed. This prototype is built using several modules of Arduino Nano as its processing, Ultrasonic sensor, Photodiode sensor and L298N Driver Motor. Test results from measurement of wall distance using HC SR04 Ultrasonic sensor which is tested as much as 4 times with different distance obtained by the distance of sensor distance to wall the smaller also the level of accuracy of sensor, line reading done with 3 different color and every color is done 3 times the test result is just a black color that can't reflect light that can be read by the photodiode sensor. Testing the robot control system, the left turn of success reaches 50% at the right turn reaches 70% and when the turnaround only reaches 40%. After mapping the maze using the Backtracking algorithm all paths that have been passed by the robot will be marked, after all the lines have been robot so the robot will stop moving.
Klasifikasi Kematangan Buah Pisang Berbasis Sensor Warna Dan Sensor Load Cell Menggunakan Metode Naive Bayes Mohammad Faizal Ajizi; Dahnial Syauqy; Mochammad Hannats Hanafi Ichsan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 3 (2019): Maret 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (534.058 KB)

Abstract

Banana fruit is one of the fruits that are consumed by many people, because bananas contain good nutrition. For this reason, many bananas are cultivated by the community. Banana cultivation is done by banana farmers or ordinary people. To find out the maturity of bananas, generally when still in the tree by looking at the color of the banana peel and by massaging the texture of the banana. But this method has a different level of maturity because everyone's perception is different. For production needs, bananas are needed with the right maturity, for that research is made about the maturity of bananas based on the fruit skin color and the weight of bananas that make decisions using the Naive Bayes method. This prototype was built using a Color Sensor to detect colors from banana peels, and loadcell sensors and HX711 modules to detect the weight of bananas and Arduino Mega as data processors from sensors and to display classification results. Based on the results of system testing, testing for loadcell sensors has an accuracy rate of 93.89% when compared to digital scales. The color sensor gets an accuracy rate of 85.53% compared to Corel Photo-Paint. Of the 10 test data tested, there is 1 data generated by the system that is not in accordance with the actual conditions, then the classification produced by the system has an accuracy rate of 90%.
Implementasi Sistem Operasi Real-Time pada Arduino Nano dengan media Komunikasi NRF24L01 Untuk Pengukuran Suhu, Kelembaban, dan Intensitas Cahaya Eka Nanda Sugianto; Wijaya Kurniawan; Dahnial Syauqy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1287.369 KB)

Abstract

In building system node sensor for smart home monitoring needed an operating system so that tasks can be executed simultaneously. By running tasks simultaneously, performance of the system monitoring smart home expected to running properly. If not, then the smart home monitoring system will work improperly such as experiencing a decrease or increase in temperature significantly due to lack of timely processing of data and the delay in making a decision that should not occur in a smart home monitoring system. In addition, the operating system must be in real-time because a smart home monitoring system is expected to be able to make decisions and provide the right information in the actual time. To resolve the above problems, RTOS (Real Time Operating System) is one of the appropriate operating systems in executing tasks simultaneously and it's also real-time. To apply RTOS to the Arduino Nano microcontroller, FreeRTOS library is needed. This sensor node system is divided into 2 node, namely client node and base node. The wireless communication media is using nRF24L01. The client node consists of the Arduino Nano microcontroller, LDR sensor, DHT11 sensor, and nRF24L01. While the base node consists of an Arduino Nano microcontroller and nRF24L01. The number of tasks on the client node is 3 tasks while at the node base is 2 tasks. Implementation for method is using Preemptive Priority Based-Scheduling. From the test results, tasks can run according to the priority given. The vTaskDelay function to set the execution time of each task is running as it should.
Sistem Peringatan Kondisi Jalan Berdasarkan Kecepatan dan Guncangan Sepeda Motor Menggunakan Naive Bayes Berbasis Embedded System Herwin Yurianda; Dahnial Syauqy; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1372.848 KB)

Abstract

In developing countries especially Indonesia traffic accidents can result in serious health problems.. Indonesia is a country which ranks fifth in the world in terms of traffic accidents, the data obtained at World Health Organization (WHO). Some of the factors that caused the accident was the road condition, vehicle and rider. However, the riders are often the vehicle outside the limit speed of the spur and the streets are less good is the most dominant factor is the cause of the accident. Based on the issue, it needs to be made to road condition warning system security drive vehicle motorcycle Embedde based System using Naive Bayes method. The sensor used in these systems is the hall effect sensor as the speedometer, and vibration sensors that serve to measure the level of shock two-wheeled vehicle. Will then be classified using Naive Bayes method, with a warning sound output with the use of the buzzer, and the screen display uses LCD, all processed system on an Arduino. Testing conducted include functional testing, system performance and accuracy. From functional testing that has been done, the system has a value of 100% truth, so it can be concluded that this test successfully. For performance testing, the system has a speed of processing time on average by 789.441 p. Whereas on testing Accuracy, the system was tested with test data as much as 43 data and the amount of training data by as much as 86 data and to have the accuracy of 97.76%.
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