Articles

SISTEM PENGENALAN BERDASARKAN CIRI GARIS TELAPAK TANGAN MENGGUNAKAN METODE JARINGAN SARAF TIRUAN PERAMBATAN BALIK Arisandi, Melly; Isnanto, R. Rizal; Zahra, Ajub Ajulian
Transmisi Vol 15, No 4 (2013): TRANSMISI
Publisher : Departemen Teknik Elektro, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (485.299 KB) | DOI: 10.12777/transmisi.15.4.199-204

Abstract

Abstrak Pada era informasi saat ini, kebutuhan terhadap sistem pengenalan diri (personal recognition) secara otomatis yang handal dan dapat dipercaya semakin meningkat terutama untuk sistem keamanan. Salah satu cara yang aman adalah dengan menggunakan teknologi biometrik. Sistem Biometrik adalah teknologi pengenalan diri dengan menggunakan bagian tubuh atau perilaku manusia. Telapak tangan merupakan salah satu biometrika yang memiliki karakteristik unik berupa  garis-garis utama pada telapak tangan dan bersifat stabil. Pada penelitian ini, ciri-ciri garis telapak tangan diperoleh dengan menggunakan metode deteksi garis dan operasi blok. Sedangkan proses pencocokan menggunakan metode jaringan saraf tiruan perambatan balik. Pengambilan citra 3 posisi sekaligus, yaitu posisi posisi tegak, 90  ke kanan, dan 90  ke kiri.  Pada sistem ini menggunakan 270 citra, di antaranya 180 citra latih dan 90 citra uji. Sistem ini diuji dengan menggunakan 90 citra uji telapak tangan milik 30 orang. Dari hasil pengujian, dapat disimpulkan bahwa sistem pengenalan garis-garis telapak tangan yang diujikan dengan citra uji 3 posisi menghasilkan tingkat keberhasilan sebesar 88,88%. Pengujian dengan citra uji posisi tegak menghasilkan tingkat keberhasilan sebesar 90%. Pengujian dengan citra uji posisi 90  ke kanan menghasilkan tingkat keberhasilan sebesar 93,33%. Pengujian dengan citra uji posisi 90  ke kiri menghasilkan tingkat keberhasilan sebesar 90%.   Kata kunci: biometrik, deteksi garis, operasi blok, jaringan saraf tiruan perambatan balik.     Abstract In this information era, an automatic and reliable personal identification is coming necessary as a need. The reliability of conventional methods for identification using password and card is currently low as those could be used by anyone so that the security becoming unsafe. One of the technology for solving this issue is by using Biometrics. Biometrics is a personal authentication technology, which recognizes person by using body features or human behavior. Palm hands which is one of  Biometrics has a unique characteristics on the palm prints. In this research, palmprint characteristics is provided by line detection method and block operation and for the matching process is by training neural network classifier for the verification. The palmprint take in 3 positions : straight vertical position, 90° angle to the right, and 90° angle to the left. This system uses 270 images, consists of 180 training images and 90 test images. The test results show that the performance of palmprint recognition system with 3 positions of test images provides success rate 88,88 %. The test with straight vertical position provides success rate 90 %. The test with 90° angle to the right position provides success rate 93,33 %. The test with 90° angle to the leftposition provides success rate 90 %. Keywords: biometric, line detection, block operation,  palm print, Backpropagation, neural network.
SIMULASI SISTEM INFORMASI GEOGRAFIS (SIG) PEMANTAUAN POSISI KENDARAAN VIA SMS GATEWAY Hanifah, Raidah; Isnanto, R. Rizal; Christyono, Yuli
Transmisi Vol 12, No 2 (2010): TRANSMISI
Publisher : Departemen Teknik Elektro, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (328.069 KB) | DOI: 10.12777/transmisi.12.2.45-49

Abstract

Nowadays a vehicle position monitoring system has started to be built  as its rising demand. A system with capability to trace the position of a vehicle by its owner or third party is well known as vehicle tracking system. This system provide many advantages, therefore in this Final Project a simulation of Geographic Information System (GIS) for Vehicle Position Tracking via SMS Gateway System is made. This system contains two main parts, those are device part and application part. Device part is simulated with a device simulation program. On the other side, application part will show the position information which sent by device par. The information is shown as a graphic with a map as the background. These two parts are developed by Delphi 7.0 programming language and MySQL 5.0 as a database storage. To show the map and mapping functions in this application, an additional program MapObject 2.0 is used. The function of SMS Gateway is connects the device part and application part, and software for this function is Gammu 1.25. This research results a simulation to monitor vehicle position system. The testing results show that this system works properly, and all functions work well as it purposes. The application part shows the position data from device part as pointed tracks in a map. Communication between GIS application part and  device part via Gammu also works properly, with average interval of SMS sending time and receiving time is 17,8 seconds. Keyword :   Geographic Information System (GIS), Position monitoring, SMS Gateway, Gammu.
DETEKSI SUDUT MENGGUNAKAN KODE RANTAI UNTUK PENGENALAN BANGUN DATAR DUA DIMENSI Hastawan, Ahmad Fashiha; Hidayatno, Achmad; Isnanto, R. Rizal
Transmisi Vol 15, No 1 (2013): TRANSMISI
Publisher : Departemen Teknik Elektro, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1154.048 KB) | DOI: 10.12777/transmisi.15.1.1-7

Abstract

Abstrak   Sistem computer vision yang handal diperlukan untuk melakukan sistem pengenalan yang konsisten terhadap beberapa kemungkinan gangguan, terutama untuk pengenalan objek  yang memiliki karakteristik khusus, seperti bangun datar dua dimensi. Dengan Salah satu metode yang diterapkan adalah dengan menggunakan deteksi sudut (corner detection). Terdapat beberapa macam algoritma deteksi sudut, salah satunya adalah dengan menggunakan kode rantai (chain code). Dalam PENELITIAN ini sistem pendeteksian sudut menggunakan kode rantai untuk pengenalan bangun datar dua dimensi ini dibuat dengan menggunakan software Matlab dengan memperhatikan beberapa faktor yang mempengaruhi kehandalan sistem. Perancangan dilakukan dengan membuat sistem pengenalan yang memiliki beberapa tahap diantaranya adalah tahap prapengolahan, tahap ekstraksi ciri, tahap identifikasi ciri,serta tahap pengenalan.  Dari hasil pengujian terhadap sistem, setiap tahap proses dalam sistem pengenalan menghasilkan keluaran sesuai yang diharapkan. Untuk pengujian sistem terhadap data yang diuji, didapatkan persentase pengujian bentuk bangun datar dua dimensi terhadap variasi warna adalah sebesar 100%, pengujian terhadap variasi ukuran adalah sebesar 95,24%, pengujian terhadap variasi posisi adalah sebesar 100%, pengujian terhadap variasi jarak hasil capture kamera webcam sebesar 88,09%, pengujian terhadap keakuratan deteksi sudut bangun tak beraturan sebesar  90%, dan pengujian terhadap variasi warna dan  latar objek sebesar 100%. Kata Kunci : Bangun Datar Dua Dimensi, Deteksi Sudut, Kode Rantai     Abstract   Solid vision computer system is needed to do a consistent recognizing system through some disturbance possibilities, especially for object recognitions which has special characteristic such as two dimensions shape. By this two dimensions shape recognition system, it is approximated can ease robot or shape recognition automatic hardware in doing its job. One of the used method is corner detection. There are some corner detection algorithms. One of them is chain code. This corner detection system using chain code for  two dimensions shape recognition system is built by Matlab software with giving special attention to some factors that influence the system solidity. Designing is done by building recognition system that has some stages, such as pre-processing stage, feature extraction stage, and recognition stage. From the system testing, every stage process gives expected results. Testing of two dimensions shape with color varying gives 100%, testing of size varying gives 95.24%, testing of position varying gives 100%, testing of object distance captured by webcam gives 88.09% ,testing the accurancy of the detection angle irregular shape gives 90%, and testing of object and background color variations gives 100%.   Key Words : Two dimensions shape, corner detection, chain code.
APLIKASI SISTEM INFORMASI PERBAIKAN PONSEL DI CV ANAMELY SEMARANG Bahauddin, Ahmad; Somantri, Maman; Isnanto, R. Rizal
Transmisi Vol 12, No 1 (2010): TRANSMISI
Publisher : Departemen Teknik Elektro, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (450.881 KB) | DOI: 10.12777/transmisi.12.1.39-44

Abstract

As a company that specializes in mobile phone telecommunication, CV Anamely Semarang has a service division that serves in maintenance and mobile phones repair. In performing its jobs, this division find problems in administration and management of data in order to obtain a receipt and the desired information in the form of data or reports. So far, the administration and management of data are still done manually. They make complicating in finding of data also the process of making reports and receipts. So that, it is required a computer system to solve those problems. Creating the application of this mobile phone repair information system uses UML for modelling systems. It is built using Delphi as programming language and MySQL as the database management system. As a result, this information system provides transaction processing services of mobile phones repair with their reports and printouts. Keyword :   mobile phone repair, administration and management of data, models, Delphi, MySQL
PERANCANGAN SISTEM PEMANTAU RUANGAN PADA PERANGKAT BERGERAK Kusuma, Darmawan Surya; Sudjadi, Sudjadi; Isnanto, R. Rizal
Transmisi Vol 14, No 1 (2012): TRANSMISI
Publisher : Departemen Teknik Elektro, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (300.87 KB) | DOI: 10.12777/transmisi.14.1.1-6

Abstract

The monitoring system continued to evolve along with technological advances. This system aims to find information about the status of a particular object, as an evaluation material of the object. The development also occurs in mobile technology. Nowadays, mobile devices can be customized according to user needs. By looking at both development of technologies, there should be a development of monitoring system using mobile devices so the users can get the ease of doing monitoring process for a specific object whenever and wherever by using the application in theirs mobile device. This project is divided into four step. The first step is conduct an analysis of the methods that?s to be used in this research. The second step is designing an UML (Unified Modeling Language) to realize this system. The third step is creating and compiling the application program. Application programs is created using Java2 Micro Edition programming language (J2ME) on the Blackberry development environment. The final step is perform a tests on this application. Based on the results of tests performed, can be concluded that with these mobile applications, the users can perform a monitoring activities such as set the monitoring camera to take a pictures and access the server to request a monitoring pictures. As a monitoring system, this application provides direct monitoring (live) and the monitoring of time on request (on demand) and also provides the configuration screen for setting the monitoring time, interval cameras capture speed, interval slideshow, connection mode, the server's IP, and server port. The tests performed on Blackberry device. Keywords : Monitoring system, mobile device, UML (Unified Modeling Language), Java2 Micro Edition programming language (J2ME), Blackberry development environment, Blackberry device.
INTEGRASI KELAS VIRTUAL KE DALAM PORTAL SISTEM INFORMASI AKADEMIK UNIVERSITAS DIPONEGORO Affandi, Fikri Ahmad; Isnanto, R. Rizal
Transmisi Vol 13, No 2 (2011): TRANSMISI
Publisher : Departemen Teknik Elektro, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (319.56 KB) | DOI: 10.12777/transmisi.13.2.53-58

Abstract

The information system is a very important thing in education. Up until now, Academic Information Systems (AIS) at the University of Diponegoro assists in the implementation of academic activities of the administrative processes such as charge card plan of study, as well as the central database. Therefore AIS Virtual Classroom integration of Diponegoro University is needed, which adds Ajax technology (Asynchronous JavaScript and XML) and Virtual Classroom functions enriched by being able to apply some functions into a social networking site. Virtual Classroom which already integrated in Diponegoro University Academic Information Systems today still has some problems, such as speed and lack of existing application. One way that can be used to overcome these problems is to apply Ajax technology and the addition of function to send information into social networking sites in this Final Project is Twitter. The steps performed are the system requirements analysis through a study of existing Virtual Classroom on SIA and collecting various references about Ajax, system design using the modeling language UML (Unified Modeling Language), implementation and testing of the system. The results of this study indicate that the addition of Ajax on the Virtual Classroom can provide fast service to access data on choices of the system because it is done asynchronous. These systems also provide facilities for faculty and admin users because some options can be sent to Twitter via a message. Keywords: Virtual Class, Ajax, Information Systems, Social Networks, UML
PENGENALAN CITRA IRIS MATA MENGGUNAKAN ALIHRAGAM WAVELET DAUBECHIES ORDE 4 Hartanto, Antonius Dwi; Isnanto, R. Rizal; Hidayatno, Achmad
Transmisi Vol 12, No 4 (2010): TRANSMISI
Publisher : Departemen Teknik Elektro, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (328.001 KB) | DOI: 10.12777/transmisi.12.4.145-149

Abstract

Iris is a part of the circle around the eye pupil. Iris has a very unique pattern, different in each individual. On this basis the iris can be used as the basis for the introduction of biometrics. To identify the texture of the iris in an eye image, method of texture analysis can be used. There are several methods of texture analysis, one of which is to use a wavelet based on image feature extraction energy. The analysis uses the energy characteristics contained in wavelet transform. Based on that reason, in this research an application program to identify the iris of the eye based on Daubechies order 4 wavelet transform.  Eye image used in this research was acquired and processed, beginning take on the characteristics and texture of the iris image which converted into polar form. Then the feature extraction is done using Daubechies wavelet transform order 4. The characteristics obtained is in the form of the energy value. The next stage is the recognition  using nearest normalized Euclidean distance. Tests carried out in the research consist of four types: influence of sample database, influence of the decomposition level of Daubechies wavelet transform order 4, influence of different input image formats, and testing on eye images which are not in database. From the test results, it can be concluded that the highest recognition rate with the parameters shown in testing Daubechies wavelet transform order 4 level 4 with two samples iris image stored is 86.66%. The lowest recognition rate is shown in tests with Daubechies wavelet transform order 4 level 6 with one sample iris image stored is 62.5%. Then from the results of testing the influence of different input image formats, it can be concluded that the samples taken from 40 individuals which one sample is take for each person, use the format BMP as  well as with use JPEG format. Whereas, from the test result for eye images which are not in database with threshold 0.3559, of the recognition level is 96%. Keyword :   texture analysis, Daubechies wavelet transform order 4, iris, Euclidean distance
APLIKASI PENGENALAN UCAPAN DENGAN EKSTRAKSI MEL-FREQUENCY CEPSTRUM COEFFICIENTS (MFCC) MELALUI JARINGAN SYARAF TIRUAN (JST) LEARNING VECTOR QUANTIZATION (LVQ) UNTUK MENGOPERASIKAN KURSOR KOMPUTER Setiawan, Angga; Hidayatno, Achmad; Isnanto, R. Rizal
Transmisi Vol 13, No 3 (2011): TRANSMISI
Publisher : Departemen Teknik Elektro, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (348.436 KB) | DOI: 10.12777/transmisi.13.3.82-86

Abstract

During this time, computer cursor operation was done by pressing and moving the mouse. So, this is less flexible for computer user that require movement in operating a computer, since to use mouse comfortably someone has to sit. Moreover, physical completeness is required for mouse operating, so that for someone who has physical disabilities feels difficult to operate it. Therefore, it is required to develop a system that provides a better comfort and flexibility not only for the healthy user computer but also for the user computer who has physical disabilities. In this final project, computer cursor operation program via voice is created. With this program, someone will have more flexibility when operating the computer cursor and also people with physical disabilities is enabled to communicate with computer. Voice recognition is a technology that is apllied in this program, with the feature extraction process used MFCC (Mel-Frequency Cepstrum Coefficients) method. As for the recognitions process used artificial neural network type LVQ (Learning Vector Quantization). Voice is passed through a microphone and then it is analyzed by MFCC to produce MFCC coefficients. These coefficients are used as input vector for LVQ neural network and used as data to train the network until it has the classification capability. Programming language that is used in creating this software is Delphi programming language. Based on the result of the testing program, it is found that the success percentage rate of voice recognition with training data, that is data which is derived from databases that have been recorded and trained into the program which amounts to 240 data, is 88,89 %. While in the testing with test data, that is data which is derived from the real time sayings of respondents which is amounts to 240 data, it is found that the success percentage rate of voice recognition is 83,99 %. Keyword : voice recognition, computer cursor, MFCC, LVQ
APLIKASI METODE TEMPLATE MATCHING UNTUK KLASIFIKASI SIDIK JARI Leksono, Bowo; Hidayatno, Achmad; Isnanto, R. Rizal
Transmisi Vol 13, No 1 (2011): TRANSMISI
Publisher : Departemen Teknik Elektro, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (326.037 KB) | DOI: 10.12777/transmisi.13.1.1-6

Abstract

The development of image processing technologies now provide the possibility of human to create a system that can recognize a digital image. One method to recognize a digital image is the template matching. This method serves to find small parts of the image that matches the template image. Among the technologies to solve the problem of image processing is a system of classifying fingerprints into the form of software that is able to process the fingerprint image enhancement and match fingerprint images that have been recorded by the database system and classify fingerprints into a particular class. In this final project made ??an application that aims to classify the fingerprint image into a particular class using template matching method.Classification process is started with fingerprint image acquisition, images size distorting 256x256, grayscale(gray level), histeq (histogram equalization), binary (image distorting becomes two scales black and white), thinning, image gets to aim, and resize 32x32. The process will then be calculated percentage of similarity with the template fingerprint image file by using the calculation of NC (Normalized Cross Correlation). The biggest percentage value indicates that the template matches the fingerprint image files. The experiment has been done classification process as much as 61 input fingerprint image with each 5 image formats are *.bmp, *.gif, *.jpg, *.png, and *.tif, so the total input fingerprint image as much as 305. For image format type *.bmp, *. gif, *. png, and *.tif on type template Plain Arch, Plain Whorl, and Double Loop point out that its success zoom as big as 100%. On Tented Arch increase supreme success on image format *.bmp, *. jpg, *. png, *. tif, on Ulnair Loop increase supreme success on image format *.png, *. tif and Radial Loop increase supreme success on image format *.bmp, *. png, *. tif. Image format that right usually experience fault which is on success zoom is contemned to image format *.jpg to type template Plain Arch, Radial Loop, Plain Whorl and Double Loop, then for image format *.gif on type template Tented Arch and Ulnair Loop. Keyword : image processing, fingerprint, template matching
DETEKSI KONDISI ORGAN PANKREAS MELALUI IRIS MATA MENGGUNAKAN JARINGAN SYARAF TIRUAN METODE PERAMBATAN BALIK DENGAN PENCIRIAN MATRIKS KO-OKURENSI ARAS KEABUAN Eskaprianda, Ardianto; Isnanto, R. Rizal; Santoso, Imam
Transmisi Vol 13, No 1 (2011): TRANSMISI
Publisher : Departemen Teknik Elektro, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (473.028 KB) | DOI: 10.12777/transmisi.13.1.33-38

Abstract

Iridology is the study of iris structure as a reflection of the organ condition and systems in the body. In this study, the organ which detected is pancreas. To determine the condition of the pancreas through the iris, texture analysis and classification process to distinguish the iris of the eye that contains the condition of normal and abnormal pancreas is needed. The purpose of this study was to detect the condition of the pancreas through the iris using artificial backpropagation neural network with the gray level co-occurrence matrices (GLCM) characteristics. Application for the detection of pancreas conditions was made using Matlab version 7.6 (R2008a). Inputs, which used in the study of the eye image, obtained from expert iridolog with both normal and abnormal conditions of the pancreas. The image is then carried out with iris localization process, ROI-making organ of the pancreas, and GLCM feature extraction. Results of feature extraction is used as input data (training data and test data) for the artificial backpropagation neural network method is then used to diagnose pancreatic organ conditions, ie normal or abnormal. GLCM features extraction based on testing for each characteristic texture are average, contrast, correlation, energy, entropy, and homogeneity for the group of normal training data which are valued of 3,217389, 0,233666, 0,632259, 0,575947, 1,379171, and 0,888469 respectively, while for the group of abnormal training data are 0,960503, 0,476226, 0,765723, 0,412549, 2,145339, and 0,824047 respectively. Based on the results of the testing training data, the program can make the correct diagnosis on the incoming data with a success percentage of 95,8%. While based on test results of test data, the program can make the correct diagnosis on the incoming data with a success percentage of 75%. Keyword : iridology, pancreas, GLCM, artificial neural network, backpropagation.
Co-Authors Achmad Chaerodin Achmad Hidayatno Ade Riyantika Dewi, Ade Riyantika Adi Dhama Kameswara Adi Mora Tunggul Adian Fatchur R Adian Fatchur Rochim Adrian Khoirul Haq Adrian Putranda Rispurwadi, Adrian Putranda Adrianus Stephen, Adrianus Afrizal Mohamad Riand agung setiawan Agung Wicaksono Ahmad Bahauddin Ahmad Fashiha Hastawan Ahmad Ramdhani, Ahmad Ajub Ajulian Zahra Alan Prasetyo Rantelino, Alan Prasetyo Albert Ginting, Albert Ali, Sarifa Isna Almiktad, An'im Alwin Indra Fatra Aminullah Ruhul Aflah Anang Paramita Wahyadyatmika Andhika Dewanta, Andhika Andhika Hanifa Naufaliawan, Andhika Hanifa Andre Lukito Kurniawan, Andre Lukito Angga Setiawan Anggie Salsa Saputra Antonius Dwi Hartanto Antonius Hendry Setyawan Ardian Wijaya Ardianto Eskaprianda Arie Firmansyah Permana Aris Triwiyanto Aris Triwiyatno Astrid Aprillini, Astrid Aulia Nastiti, Aulia Bondhan Tunjung Bowo Leksono Buana, Dian Kurnia Widya Budi Setiyono Candra Laksono Causa Prima Wijaya Cerah, Tyas Panorama Nan Chairunnisa Adhisti Prasetiorini Chandra Yogatama Damar Wicaksono Danang Respati Setyabudi, Danang Respati Darmawan Surya Kusuma Deddy Sucipta Syahril, Deddy Sucipta Dela Nurlaila Dewi Lestari Dhody Kurniawan Dictosendo Noor Pambudi Rahayu Dilan Arya Sujati, Dilan Arya Dimas Robby Firmanda, Dimas Robby Dini Indriyani Putri, Dini Indriyani Djoko Windarto Donny Zaviar Rizky Dony Bagus Rudiyanto Dyah Kusuma Mauliyani, Dyah Kusuma Eko Didik Widianto Enda Wista Sinuraya Endriawan Endriawan Ervin Adhi Cahyanugraha, Ervin Adhi Eskanesiari Eskanesiari Fachrul Rozy Faiztyan, Irham Fa'idh Fajar Adi Nugroho Fara Mantika Dian Febriana, Fara Mantika Fatima Setyani Febry Santo Ferry Dwi Setiyawan, Ferry Dwi Ferry Hadi Fikri Ahmad Affandi Gilang Aditya Pamungkas, Gilang Aditya Hardiyanto Hardiyanto Hayu Andarwati Hefmi Fauzan Imron, Hefmi Fauzan Herdhian Cahya Novanto Herjuna Dony Anggara Putra, Herjuna Dony Anggara Hilal Afrih Juhad, Hilal Ike Pertiwi Windasari Ilina Khoirotun Khisan Iskandar Imaduddin Amrullah Muslim, Imaduddin Amrullah Imam Santoso Irwan Andaltria Khair, Rizaldy Kodrat I.S Kodrat Imam Satoto Kodrat Iman Satoto Kurniawan Teguh Martono Lathifah Alfat, Lathifah Liga Filosa, Liga Lukas Aditratika M. Azwar A. G. N. M. Ikhsan Mulyadi M. Wirdan Syahrial Maman Somantri Maria Fitriana Mario Christy Sinuraya Martin Clinton Tosima Manullang, Martin Clinton Tosima Maulana Muhammad Iqbal, Maulana Muhammad Melly Arisandi MHS, Rivaldi Misik Puspajati Nurmadjid Saputri, Misik Puspajati Nurmadjid Mona Pradipta Hardiyanti, Mona Pradipta Muh. Udka, Muh. Muhammad Akbar Muhammad Fahmi Awaj Muhammad Kautsar, Muhammad Muhammad Satriya Utama Mukharrom Edisuryana Munawar Agus Riyadi Mustafid Mustafid Mutiara Shabrina Nanang Trisnadik Natanael Benino Tampubolon, Natanael Benino Novi Kristanti Handayani Nugroho Arif Widodo Nur Arifin Akbar Nur Rizky Rosna Putra Nur Setyo Permatasasi Putri W, Nur Setyo Permatasasi Nurul Arifa Nurul Ifan Purba Oky Dwi Nurhayati Praseti, Agung Budi Prima Widyaningrum Pringgo Budi Utomo R. Edith Indera Bagaskara R. G Alam Nusantara P.H, R. G Alam R. Mh. Rheza Kharis Rachel Chrysilla Tijono, Rachel Chrysilla Rachmad Arief Setiawan Ragil Aji Prastomo Raidah Hanifah Refika Khoirunnisa, Refika Relung Satria D Reza Najib Hidayat, Reza Najib Rico Eko Wibowo Rinta Kridalukmana Rizaldi Habibie, Rizaldi Rizky Gelar Maliq, Rizky Gelar Rody Verdika Cahyadi Rosdelima Hutahaean, Rosdelima Ruli Handrio, Ruli Satya Arisena Hendrawan, Satya Arisena Shabrina Mihanora Siboro, Septihadi Klinsman Sri Lestari Sudjadi Sudjadi Talitha Almira, Talitha Taufik Agung Wibowo Teguh Dwi Prihartono Theodora Anita Fidelia Tito Tri Pamungkas Tri Asmini Tri Murwanto Tri Prasetyo Ufan Alfianto, Ufan Wahyul Amien Syafei Wandri Okki Saputra Wicaksono, Erizco Satya Widi Puji Atmojo, Widi Puji Yenita Dwi Setiyawati, Yenita Dwi Yessy Kurniasari Yongki Yonatan Marbun, Yongki Yonatan Yosua Alvin Adi .S. Yuli Christiyono Yuli Christyono Yuli Syarif Zaka Bil Fiqhi