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All Journal International Journal of Electrical and Computer Engineering International Journal of Evaluation and Research in Education (IJERE) Farmasains : Jurnal Farmasi dan Ilmu Kesehatan Journal of Food and Pharmaceutical Science Dinamik Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Transmisi: Jurnal Ilmiah Teknik Elektro JURNAL SISTEM INFORMASI BISNIS Voteteknika (Vocational Teknik Elektronika dan Informatika) JTEV (Jurnal Teknik Elektro dan Vokasional ELKHA : Jurnal Teknik Elektro Jurnal Sistem Komputer TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnal Informatika Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Kursor Jurnal Algoritma Jurnal Teknologi Telematika : Jurnal Informatika dan Teknologi Informasi Jurnal Pseudocode Jurnal Teknologi Informasi dan Ilmu Komputer Telematika Jurnal Edukasi dan Penelitian Informatika (JEPIN) JUITA : Jurnal Informatika International Journal of Advances in Intelligent Informatics Scientific Journal of Informatics Seminar Nasional Informatika (SEMNASIF) Komunikator ICON-CSE CESS (Journal of Computer Engineering, System and Science) Proceeding SENDI_U Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Register: Jurnal Ilmiah Teknologi Sistem Informasi ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JURNAL NASIONAL TEKNIK ELEKTRO KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Bulletin of Electrical Engineering and Informatics JOIN (Jurnal Online Informatika) Journal of Electrical Technology UMY Format : Jurnal Imiah Teknik Informatika Jurnal Teknologi dan Sistem Komputer Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research Journal of Information Technology and Computer Science (JOINTECS) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi JIKO (Jurnal Informatika dan Komputer) Bina Insani ICT Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control CogITo Smart Journal IT JOURNAL RESEARCH AND DEVELOPMENT Jurnal Sains dan Informatika Insect (Informatics and Security) : Jurnal Teknik Informatika JRST (Jurnal Riset Sains dan Teknologi) JITK (Jurnal Ilmu Pengetahuan dan Komputer) JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL REKAYASA TEKNOLOGI INFORMASI JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JURNAL INSTEK (Informatika Sains dan Teknologi) ILKOM Jurnal Ilmiah Compiler KACANEGARA Jurnal Pengabdian pada Masyarakat Jiko (Jurnal Informatika dan komputer) Journal of Science and Engineering MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JSiI (Jurnal Sistem Informasi) CYBERNETICS Krea-TIF: Jurnal Teknik Informatika J-SAKTI (Jurnal Sains Komputer dan Informatika) JURIKOM (Jurnal Riset Komputer) Jurnal Teknik Elektro dan Komputer TRIAC Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer) Jurnal Ilmiah Mandala Education (JIME) JSI (Jurnal sistem Informasi) Universitas Suryadarma Systemic: Information System and Informatics Journal Jurnal Pengabdian Kepada Masyarakat MEMBANGUN NEGERI Jurnal Mantik JISKa (Jurnal Informatika Sunan Kalijaga) Journal of Electronics, Electromedical Engineering, and Medical Informatics Buletin Ilmiah Sarjana Teknik Elektro RADIAL: JuRnal PerADaban SaIns RekAyasan dan TeknoLogi Mobile and Forensics Jurnal Informatika dan Rekayasa Perangkat Lunak Journal of Robotics and Control (JRC) Journal of Applied Engineering and Technological Science (JAETS) Jurnal Riset Rekayasa Elektro Jurnal Repositor Respati Jurnal Abdi Insani Indonesian Journal of Electrical Engineering and Computer Science Journal of Computer System and Informatics (JoSYC) International Journal of Advances in Data and Information Systems JITU : Journal Informatic Technology And Communication Journal of Innovation Information Technology and Application (JINITA) Reswara: Jurnal Pengabdian Kepada Masyarakat SKANIKA: Sistem Komputer dan Teknik Informatika Innovation in Research of Informatics (INNOVATICS) Jurnal Teknik Informatika (JUTIF) JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Jurnal Computer Science and Information Technology (CoSciTech) Journal Social Science And Technology For Community Service Jumat Informatika: Jurnal Pengabdian Masyarakat Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) J-SAKTI (Jurnal Sains Komputer dan Informatika) Decode: Jurnal Pendidikan Teknologi Informasi Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Algoritma Techno Jurnal Pengabdian Pada Masyarakat Amal Ilmiah: Jurnal Pengabdian Kepada Masyarakat SmartComp Journal of Food and Pharmaceutical Sciences Jurnal Informatika: Jurnal Pengembangan IT Control Systems and Optimization Letters Emitor: Jurnal Teknik Elektro Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health Signal and Image Processing Letters Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) RADIAL: Jurnal Peradaban Sains, Rekayasa dan Teknologi Scientific Journal of Engineering Research Dedikasi Nusantara Indonesian Journal on Learning and Advanced Education (IJOLAE)
Anton Yudhana
Universitas Ahmad Dahlan, Yogyakarta
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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Mass Classification of Breast Cancer Using CNN and Faster R-CNN Model Comparison Sunardi, Sunardi; Yudhana, Anton; Windra Putri, Anggi Rizky
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 7, No. 3, August 2022
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v7i3.1462

Abstract

Threat of breast cancer is a frightening type and threatens the female population worldwide. Early detection is preventive solution to determine cancer diagnosis or tumors in the female breast area. Today, machine learning technology in managing medical images has become an innovative trend in the health sector. This technology can accelerate diagnosing disease based on the acquisition of accuracy values. The primary purpose of this research is to innovate by comparing two deep learning models to build a prediction system for early-stage breast cancer. This research utilizes Convolutional Neural Network (CNN) sequential models and Faster Region-based Convolutional Neural Network (R-CNN) models that can determine the classification of normal or abnormal breast image data, which can determine the normal or abnormal classification of breast image. The dataset's source in this study came from the Mammographic Image Analysis Society (MIAS). This dataset consists of 322 mammogram data with 123 abnormal and 199 normal classes. The experimental results of this study show that the accuracy of the CNN and R-CNN models in image classification are 91.26% and 63.89%, respectively. Based on these results, the CNN sequential model has better accuracy than the Faster R-CNN model, because it does not require unique characteristics to detect breast cancer.
Public Opinion Analysis of Presidential Candidate Using Naïve Bayes Method Firdaus, Asno Azzawagama; Yudhana, Anton; Riadi, Imam
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 8, No. 2, May 2023
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v8i2.1686

Abstract

Elections for president and vice president will take place in 2024. Heading into the election, promoted candidates were vying for public sympathy. People often discussed as presidential candidates are Anies Baswedan, Ganjar Pranowo, and Prabowo Subianto. Therefore, we need a way to predict potential candidates and voter demographics from public opinion on Twitter using sentiment analysis. One of his methods commonly used to classify sentiment analysis is Naive Bayes. This study used the naive Bayes classifier and the TF-IDF extraction function to add weights to the text. Use the scikit-learn Python library to help determine the polarity of negative and positive sentiment classes in your dataset. The datasets used were Twitter datasets acquired from October to December 2022, for a total of 15,000 datasets. The best test scenario obtained by splitting the test and training data is 70% test data and 30% training data, with the highest accuracy generated from the 95% Ganjar dataset. Using the Anies, Ganjar, and Prabowo test data, the positive mood scores for each candidate were 833, 77, and 524, respectively, while the negative mood scores were 637, 1423, and 976, respectively. The test was performed using a confusion matrix and k-fold cross-validation, and the best results were obtained on the Ganjar data set. That is a confusion matrix of 94.93% and a k-fold cross-validation of 94.46%. The lowest f1-score for the positive class is 67% for the Anies dataset and 27% for the negative class for the Ganjar dataset.
Thorax X-ray Image Segmentation Technique Using Four Variants of Thresholding Algorithm Subandi, Rio; Herman; Yudhana, Anton
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 9, No. 1, February 2024
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v9i1.1809

Abstract

Pneumonia is a respiratory infection caused by bacteria, viruses or fungi, and has been recognized as a fairly common and threatening disease. When diagnosing this disease, doctors usually also use thorax X-ray images. Nowadays, diagnosing pneumonia has been made possible with the help of machine learning technology. Doctors or medical personnel in locations where there are no pulmonary specialists or experts can be assisted by this technology. Machine learning algorithms are used to process digital images that have passed the pre-processing and segmentation stages. This paper offers a solution to segmentation technique of thorax X-ray digital image using a combination of four thresholding algorithms. This combination aims to find the best CNN model with segmentation techniques in the form of the most suitable thresholding algorithm. The result of this research is four different data sets. The thresholding algorithms used include binary, thresh binary inv, thresh to zero, thresh tozero inv with a threshold value of 150. The data used in this research is a thorax X-ray image dataset, as many as 5,856 images acquired from the Kaggle repository data. The program code in this research uses the Python programming language in the Anaconda environment. This research has resulted in a comparison of the accuracy values obtained using 4 variants between thres_binary thresholding algorithm and thres_binary_inv. The thres_tozero obtained 95% of accuracy while thres_tozero_inv obtained 94% of accuracy.
Analysis of Radiation Structure of Circular Microstrip Antenna using Characteristic Mode Analysis for ISM Band SABILA, LIYA YUSRINA; AMRI, MUHAMMAD MIFTAHUL; YUDHANA, ANTON; AKRIMA, ASRA; PRATAMA, IGO PUTRA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 11, No 1: Published January 2023
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v11i1.100

Abstract

ABSTRAKMakalah ini bertujuan untuk melihat karakteristik struktur radiasi menggunakan Analisis Mode Karakteristik pada antena sirkular array. Kontribusi utama dari pekerjaan ini adalah menganalisis penyebab masalah antena yang tidak sesuai dengan impedansinya pada frekuensi 2,4 GHz melalui mode distribusi arus pada patch atau radiasi. Pencocokan impedansi dapat dicapai dengan menetapkan slot ke dua patch yang tersusun dan memberikan efek peningkatan bandwidth dan gain. Untuk validasi hasil performansi antena dapat dilihat dari mode aktif pada frekuensi yang sesuai. Ditemukan bahwa antena yang diusulkan memiliki dua mode aktif pada frekuensi 2,4 GHz. Ditemukan bahwa antena yang digunakan cukup akurat. Hal ini dibuktikan dengan nilai S11 sebesar -19,606 dB dan gain sebesar 3,45 pada frekuensi 2,45 GHz.Kata kunci: antena, mikrostrip, characteristic mode analysis, ISM Band, 2.4 GHz ABSTRACTThis paper aims to see the characteristics of the radiation structure using Characteristic Mode Analysis on circular array antennas. The main contribution of this work is to analyze the causes of the problem of the antenna not matching its impedance at the 2.4 GHz frequency through the current distribution modes on the patch or radiation. Matching impedance can be achieved by assigning slots to the two arrayed patches and increasing bandwidth and gain. It can be seen from the active modes at the appropriate frequency to validate the results of antenna performance. The proposed antenna has two active modes at a frequency of 2.4 GHz. It is found that the proposed antenna is entirely accurate. It is proven by the S11 value of -19.606 dB and the gain of 3.45 at a frequency of 2.45 GHz.Keywords: antenna, microstrip, characteristic mode analysis, ISM Band, 2.4 GHz
Efektivitas Sosialisasi Listrik Aman dan Hemat pada Mahasiswa melalui Pretest dan Posttest Menggunakan Google Form Tri Wahono; Ismanto, Edi; Nuraeni, Eneng; Yudhana, Anton; Herman
Jurnal Pengabdian Kepada Masyarakat MEMBANGUN NEGERI Vol. 8 No. 2 (2024): Jurnal Pengabdian Kepada Masyarakat MEMBANGUN NEGERI
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35326/pkm.v8i2.6394

Abstract

Sosialisasi mengenai penggunaan listrik yang aman dan hemat menjadi semakin penting dalam konteks modern, mengingat berbagai tantangan dan kebutuhan yang dihadapi masyarakat saat ini. Beberapa faktor utama yang melatarbelakangi upaya sosialisasi ini meliputi kebutuhan akan keselamatan, efisiensi energi, penghematan biaya. Kurangnya pengetahuan tentang pengetahuan mengenai penggunaan listrik yang benar mengakibatkan insiden kecelakaan listrik. Sosialisasi ini bertujuan untuk menganalisis efektivitas sosialisasi tentang listrik yang aman dan hemat pada mahasiswa pendidikan Universitas Muhammadiyah Riau. Sosialisasi dilakukan untuk meningkatkan pemahaman dan kesadaran mahasiswa terhadap penggunaan listrik yang lebih bijaksana dan aman. Metode penelitian yang digunakan adalah pemberian materi secara langsung kemudian untuk mengukur pemahaman mahasiswa menggunakan pre-test dan post-test. Alat pengumpulan data berupa kuesioner yang disebarkan melalui Google form, yang mencakup pertanyaan terkait pengetahuan dan perilaku dalam penggunaan listrik sebelum dan sesudah sosialisasi. Hasil dari 49 responden yang mengisi kuesioner dengan 15 pertanyaan, analisis statistik mengungkapkan bahwa intervensi yang diberikan memiliki efek positif yang signifikan terhadap pengetahuan atau keterampilan responden. Hal ini dibuktikan dengan nilai p yang lebih kecil dari 0,05. Dapat disimpulksn bahwa kegiataan sosialisasi terbukti efektif dalam meningkatkan pemahaman atau kemampuan responden secara cepat.
Sniffing Pada Jaringan WiFi Berbasis Protokol 802.1x Menggunakan Aplikasi Wireshark Abdillah, Muhamad Aznar; Yudhana, Anton; Fadil, Abdul
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 1 (2020): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (955.396 KB) | DOI: 10.30645/j-sakti.v4i1.181

Abstract

Nowadays WiFi technology is increasing with the people's need for internet access. WiFi is an abbreviation of Wireless Fidelity. WiFi can be said to be a technology for exchanging data by utilizing radio waves (wireless) that can be used by several electronic devices such as computers, smartphones, tablets, and so on. This research tries sniffing method on WiFi-based 802.1X protocol to get the client authentication code. The conclusion obtained from this study is the Sniifing Process using the Wireshark application managed to get the station authentication code on an 802.1X-based WiFi network. The authentication code can be used when the station is no longer connected to a WiFi network. This can be used by other people or stations that are actually not entitled / illegitimate.
Pangamanan Pesan Menggunakan Kriptografi Caesar Cipher dan Steganografi EOF pada Citra H, Hermansa; Umar, Rusydi; Yudhana, Anton
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 1 (2020): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1145.597 KB) | DOI: 10.30645/j-sakti.v4i1.195

Abstract

Security in the protection of sending messages is a matter that must be considered, because the more the development of the age, the more sophisticated the technology. So that security in sending messages and data communication should be of more concern. Therefore we need a method or algorithm that can protect the message to be sent to the recipient of the message. The algorithm that can be used in encrypting is Caesar Cipher, as a cryptographic coding technique for messages so that messages that look difficult to read and solve. As for the method of inserting messages on encrypted image media using the End of File (EOF) steganography method, which is the method used directly at the end of the file. In the work of securing techniques of messages on this system, using various sizes of images or images that will be inserted a coded secret message or encryption whose capacity is not much different from the photos or images to be used. The conclusion of this study is that the application of the Caesar Cipher Algorithm can be used as a message security technique even though the algorithm is so simple but the level of security is assisted by the End of File (EOF) method to insert the encryption results from the Caesar Cipher algorithm so that the security level it has is sufficient to protect message information to be safe from eavesdroppers or hackers of the message that is not responsible or as a protection of data held.
Implementasi GPS (Global Positioning System) Pada Presensi Berbasis Android DI BMT Insan Mandiri Khoir, Syaiful Amrial; Yudhana, Anton; S, Sunardi
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 1 (2020): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (608.395 KB) | DOI: 10.30645/j-sakti.v4i1.182

Abstract

Attendance is a document that represents each employee at the company or representative. Some of the challenges experienced by KSPPS BMT INSAN MANDIRI are marketing that is difficult to carry out attendance when coming out of the office because of increased marketing activities that are directly related to members / out-of-office expenses. Therefore the researcher got findings to solve the problem that occurred by making an Android-based online attendance application that can be connected directly with the sarver provided by the office. This application is equipped with the introduction of security and the use of manipulations made by employees, and this application is equipped with monitoring features so that marketing managers and managers can set marketing positions in realtime. In this study, researchers used HTML and PHP programming languages for web applications that use presence servers / data centers, webside uses Google map APIs to obtain marketing positions, and presence reports can be purchased from the webside. The hope of this research is that the online android mobile attendance application with face recognition security can run well and meet the needs of the KSPPS BMT INSAN MANDIRI.
Analisis Penggunaan Metode ACPO (Association of Chief Police Officer) pada Forensik WhatsApp Prasongko, Riski Yudhi; Yudhana, Anton; Riadi, Imam
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.520

Abstract

The development of smartphone technology is increasing, causing cyber crime to increase from year to year. One of the smartphone applications used by criminals is WhatsApp. The WhatsApp application is one of the most widely used insta messaging applications, especially in Indonesia. Violations such as hate speech, defamation, and fraud are common on the WhatsApp social network. This study was conducted with the aim of finding forensic evidence of cyberbullying behavior on the WhatsApp insta messaging application using the Association of Chiefs of Police (ACPO) method. This forensic phase involves planning, arresting, analyzing and presenting to search for digital evidence of cybercrimes using Belkasoft Evidence Center and HashMyFiles software. Digital evidence on smartphones can be found using case scenarios with 13 parameters that have been generated. The results of this study indicate that the Belkasoft Evidence Center digital forensic software is 81.92%, while HashMyfiles can detect the authenticity of digital evidence 79.96%.
Pre-Processing Pada Klasifikasi Citra Medis Pneumonia Rio Subandi; Herman; Anton Yudhana
Decode: Jurnal Pendidikan Teknologi Informasi Vol. 4 No. 1: MARET 2024
Publisher : Program Studi Pendidikan Teknologi Infromasi UMK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51454/decode.v4i1.198

Abstract

Pemrosesan citra merupakan teknik pengolahan citra yang mengubah suatu citra input menjadi citra yang berbeda sehingga keluarannya memiliki keunggulan lebih tinggi daripada citra input. Pemrosesan citra berguna untuk tingkat mutu citra, membuang cacat citra, mengenali objek, dan menggabungkannya dengan bagian lain dari suatu citra. Kemajuan teknologi pengolahan citra digital (digital image processing) yang semakin pesat, dapat mempermudah kehidupan manusia. Salah satu contoh penerapan dalam bidang kesehatan yaitu klasifikasi penyakit pneumonia, klasifikasi data penyakit pneumonia berbentuk dataset citra yang akan diklasifikasikan menggunakan sebuah metode. Saat ini banyak aplikasi yang dapat diterapkan dalam melakukan pre-processing terhadap berbagai citra baik citra medis maupun non medis. Tujuan penelitian ini untuk mempersiapkan data citra sebelum diproses dan untuk memudahkan dalam analisis pada model klasifikasi CNN, data yang di pre-processing berupa data ctscan image. Tujuan dilakukan pre-processing pada citra untuk menghasilkan dimensions dan pixel yang sama agar memudahkan dalam klasifikasi CNN. Citra yang digunakan berwarna grayscale, agar memudahkan dalam klasifikasi pada tahapan selanjutnya. Hasil dari penelitian ini berjalan dengan baik karena dapat mengubah 5.196 citra grayscale menjadi citra yang lebih jelas, bersih, dan siap untuk diklasifikasikan dengan metode klasifikasi selanjutnya.
Co-Authors Aang Anwarudin Abd. Rasyid Syamsuri Abdel-Nasser Sharkawy Abdillah, Muhamad Aznar Abdul Azis Abdul Djalil Djayali Abdul Fadil Abdul Fadil Abdul Fadlil Abdul Fadlil Abe, Tuska Ade Firli Ansyori Adi Permadi Agung Dwi Nugroho, Agung Dwi Agus Jaka Sri Hartanta Agustin Rafikasari Ahmad Azhar Kadim Ahmad Ikrom Ahmad Ikrom Ahmad Syahril Mohd Nawi Ahmadi, Ahwan Akhwandi, Dasef AKRIMA, ASRA Alameka, Faza Alameka, Faza alders paliling Aldi Bastiatul Fawait Fawait Alfian Ma’arif Alin Khaliduzzaman Aminuyati Andhy Sulistyo Andiko Putro Suryotomo Andri Pranolo Anggara Ibnu Sidharta Annafii, Moch. Nasheh Anom Wahyu Asmorojati Anshori, Ikhwan Anton Satria Prabuwono Anton Satria Prabuwono Anwar Siswanto Anwarudin, Aang Any Guntarti Ardiansyah, Ricy Arief Setyo Nugroho Aris Rakhmadi Asep Ririh Riswaya Ashari, Irvan Asno Azzawagama Firdaus Asra Akrima Astika AyuningTyas, Astika Aulia, Muhammad Immawan Aznar Abdillah, Muhamad Azrul Mahfurdz Bahagiya, Multika Untung Balza Achmad Bella Okta Sari Miranda Belly Apriansyah Bintang, Rauhulloh Noor budi putra Budi Setianto, Arif Bulaka, Bardan Cahya Subrata, Arsyad Choirul Fajri Darso, Muhammad Daryono Daryono Dasef Akhwandi Deni Murdiani Denny Yoga Pratama Dewi Eko Wati Dian Nova Kusuma Hardani Didi Siprian Djou, M Rosyidi Drezewski, Rafal Dwi Susanto Dwi Susanto Dwi Susanto Dzakarasma Tazakka Ma’arij Edi Ismanto Eka Rahmat B Eko Prianto Eko Prianto, Eko Elvina, Ade Fadil, Abdul Fadlil, Abdul Fadlillah Mukti Ayudewi Fahmi, Miftahuddin Fahrizal Djohar Fakhri, La Jupriadi Fathoni, Listya Febri Fatma Nuraisyah, Fatma Faza Alameka Faza Alameka Febryansah, M. Iqbal Fitrah Juliansyah Fitri Anggraini Fitri Anggraini, Fitri Fitriyanto, Rachmad Furizal Furizal Furizal Furizal, Furizal Galih Pramuja Inngam Fanani H, Hermansa Habibah, Nurina Umy Habsah Hasan Hadi Sasongko, Hadi Halil, Nur Ihsan Hanif, Abdullah Hanif, Kharis Hudaiby Hartanta, Agus Jaka Sri Hartono, Susilo Helmiyah, Siti Herman Herman Herman Herman Herman Herman Yuliansyah Herman Yuliansyah, Herman Hermansa Herwindo Rahadian Hidayat, Lalu Amam Hikmatyar Insani Himawan I Azmi Igo Putra Pratama Iif Alfiatul Mukaromah Ikhsan Sugianto Ikhsan Zuhriyanto Ikhsan Zuhriyanto Ikhsan Zuhriyanto Ikhwan Anshori Ikrom, Ahmad Ilham Mufandi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Intan Puspitasari Irfan, Syahid Al Ivan Triyatno Jafri Din Jaka Dernata Jaka Dernata Jaka Japkowicz, Nathalie Jendri Juliansyah, Fitrah Kalbuadi, Dimas Baskoro Kartika Firdausy Kaspul Anwar Kaswijanti, Wilis Kawarul Hawari Ghazali Kgs Muhammad Rizky Alditra Utama Kgs Muhammad Rizky Alditra Utama Khaliduzzaman, Alin Khalif, Fajar Al Khoir, Syaiful Amrial Khoirul Anam Dahlan Kintung Prayitno, Kintung Kitagawa, Kodai Kurniawan, Gusti Chandra Kusuma , Damar Yoga Lestari, Agung Tri Listya Febri Fathoni Liya Yusrina Sabila Luh Putu Ratna Sundari Lutfatul Kholifah M Rosyidi Djou M. Rosyidi Djou Mahsun Mahsun Mardi Sugama Marlina Mustafa, Marlina Maulana, Irvan Mawadati, Siti Mawarni, Syifa’ah Setya Mega Reski4, Julia Mhd. Basri Miftahuddin Fahmi Miftahus Surur, Miftahus Miko Wardani Mitra Adhimukti Moch. Nasheh Annafii Muchamad Kurniawan Muchlas Muchlas Muchlas Muchlas, Muchlas Mudinillah, Adam Muflih, Ghufron Zaida Muh. Fadli Hasa Muhamad Caesar Febriansyah Putra Muhamad Caesar Febriansyah Putra, Muhamad Caesar Febriansyah Muhamad Fahrul Reza Muhamad Rosidin Muhammad Aris Fajar Ilmawan Muhammad Darso Muhammad Irfan Pure Muhammad Jundullah Muhammad Kunta Biddinika Muhammad Kunta Biddinika Muhammad Miftahul Amri Muhammad Noor Fadillah Muhammad Noor Fadillah Muhammad Nur Faiz Muhammad Nur Faiz Muhammad Rizki Setyawan Muhammad Sabiq Dzakwan Muhammad Sabiq Dzakwan Muhammad, Khairul Muis, Alwas Mukaromah, Iif Alfiatul Murinto Murinto Mushab Al Barra Mushlihudin Mushlihudin Mushlihudin Mushlihudin Mushlihudin, Mushlihudin Mushlihudin, Mushlihudin Musliman, Anwar Siswanto Nathalie Japkowicz Novi Febrianti Novitasari, Putri Rachma Nuraeni, Eneng Nurina Umy Habibah Nurwijayanti Nuryana, Zalik Nuryono Satya Widodo Ockhy Jey Fhiter Wassalam Peryanto, Ari Phisca Aditya Rosyady Prasongko, Riski Yudhi Pratama, Denny Yoga Pratama, Genta Pratama, Gilang Ariya PRATAMA, IGO PUTRA prayudi, Andi Prianto, Eko Prihatmadi, Farhan Adyaqsa Priyatno Priyatno Purnamaningsih, Nur’Aini Puspitasari, Etika Dyah Putra, Aji Surya Kurniawan Putra, Marta Dwi Darma Putra, Satriya Dwi Putra, Seno Aji Putri, Dadva Pramesty Etsria Rachmad Fitriyanto Rachmad Very Ananda Saputra Raden Mohamad Herdian Bhakti Rafal Drezewski Rahmawan, Jihad Raja Bidin Raja Hassan Ramadhani, Muhammad Ramdhani, Rezki Rani Rotul Muhima Rauhulloh Ayatulloh Khomeini Noor Bintang Renangga Yudianto Reski, Julia Mega Resmi Aini Retnosyari Septiyani Reza, Muhamad Fahrul Rezki Ramdhani Ridho Ikhram Rio Subandi Riski Prasongko Yudhi Prasongko Riski Yudhi Prasongko Rivai, Zulki Yanto Rizky Andhika Surya Rosyady, Phisca Aditya Ruly Erwin AfanDika Rumagia, Yusril Rusdi Umar Rusydi Umar Rusydi Umar Rusydi Umar Rusydi Umar S, Sunardi Sabarudin Saputra Saberi Mawi Sabila, Liya Yusrina Safiq Rosad Sahta, Bobo Saifullah, Shoffan Samadri Samadri Saputra, Candra Deska Saputra, I Gede Purwana Edi saputro, tahap Sarjimin Sarjimin Sarjimin, Sarjimin Satriya Dwi Putra Sefindra Purnama Seno Aji Putra Septa, Frandika Septiyani, Retnosyari Septiyawan Rosetya Wardhana Sharipah Salwa Mohamed Shoffan Saifullah Sidharta, Anggara Ibnu Sidiq, Ahmad Fajar Sigit Wijaya Silmina, Esi Putri Siswaya Siswaya Siswaya, Siswaya Siti Hajar Siti Helmiyah Siti Helmiyah Son Ali Akbar sri suharti Sri Suharti Subandi, Rio Sulistyo, Andhy Sunardi Sunardi - Sunardi - Sunardi Sunardi sunardi sunardi Sunardi, Sunardi Susilo Hartono Suwanti Suwanti Suyadi Suyadi Syafiqoh, Ummi Syahid Al Irfan Syahrani Lonang Syed Abdullah Syinta Brata Tarisno Amijoyo Tiara Widyakunthaningrum Tole Sutikno Tri Wahono Tugiman Tugiman Umar, Rusydi Ummi Syafiqoh Utama, Kgs Muhammad Rizky Alditra Utama, Kiagus Muhammad Rizky Aditra W, Yunanri Wahidah Mahanani Rahayu Wahyu Prawoto Wahyu Sapto Aji Wardani, Miko Wicaksono Yuli Sulistyo Wicaksono Yuli Sulistyo Widhianto, Trisno Wijaya, Setiawan Ardi Wilis Kaswijanti Windra Putri, Anggi Rizky Wintolo, Hero Wiwiek Afifah Yudianto, Renangga Yuli Rahmawati Yusril Rumagia Zeehaida Mohamed