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All Journal International Journal of Electrical and Computer Engineering ComEngApp : Computer Engineering and Applications Journal JURNAL SISTEM INFORMASI BISNIS JTEV (Jurnal Teknik Elektro dan Vokasional Techno.Com: Jurnal Teknologi Informasi Jurnal Buana Informatika TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Informatika Jurnal Sarjana Teknik Informatika Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Jurnal Teknik Elektro PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic CommIT (Communication & Information Technology) Jurnal Ilmiah Kursor Jurnal Informatika Jurnal Teknologi Informasi dan Ilmu Komputer Telematika Jurnal Edukasi dan Penelitian Informatika (JEPIN) JUITA : Jurnal Informatika Scientific Journal of Informatics Seminar Nasional Informatika (SEMNASIF) ELINVO (Electronics, Informatics, and Vocational Education) Annual Research Seminar INFORMAL: Informatics Journal Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Register: Jurnal Ilmiah Teknologi Sistem Informasi Proceeding of the Electrical Engineering Computer Science and Informatics Edu Komputika Journal Format : Jurnal Imiah Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research RABIT: Jurnal Teknologi dan Sistem Informasi Univrab SISFOTENIKA 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) AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat JURNAL MEDIA INFORMATIKA BUDIDARMA JIEET (Journal of Information Engineering and Educational Technology) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control CogITo Smart Journal IT JOURNAL RESEARCH AND DEVELOPMENT Insect (Informatics and Security) : Jurnal Teknik Informatika JITK (Jurnal Ilmu Pengetahuan dan Komputer) JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL REKAYASA TEKNOLOGI INFORMASI Abdimas Dewantara PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JURNAL INSTEK (Informatika Sains dan Teknologi) ILKOM Jurnal Ilmiah Compiler Jiko (Jurnal Informatika dan komputer) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JSiI (Jurnal Sistem Informasi) CYBERNETICS Digital Zone: Jurnal Teknologi Informasi dan Komunikasi IJID (International Journal on Informatics for Development) J-SAKTI (Jurnal Sains Komputer dan Informatika) JURIKOM (Jurnal Riset Komputer) Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat EDUMATIC: Jurnal Pendidikan Informatika Building of Informatics, Technology and Science Jurnal Mantik NUKHBATUL 'ULUM : Jurnal Bidang Kajian Islam Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi JISKa (Jurnal Informatika Sunan Kalijaga) Buletin Ilmiah Sarjana Teknik Elektro Indonesian Journal of Business Intelligence (IJUBI) Mobile and Forensics Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Jurnal Pengabdian Masyarakat Bumi Raflesia Cyber Security dan Forensik Digital (CSFD) Jurnal Abdi Insani JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) International Journal of Advances in Data and Information Systems Journal of Innovation Information Technology and Application (JINITA) Journal of Education Informatic Technology and Science Jurnal Bumigora Information Technology (BITe) Infotech: Journal of Technology Information Jurnal Teknologi Informatika dan Komputer SKANIKA: Sistem Komputer dan Teknik Informatika Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal REKSA: Rekayasa Keuangan, Syariah dan Audit Jurnal Teknik Informatika (JUTIF) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Computer Science and Information Technology (CoSciTech) Phasti: Jurnal Teknik Informatika Politeknik Hasnur Jurnal Pengabdian Masyarakat Indonesia EDUTECH : Jurnal Inovasi Pendidikan Berbantuan Teknologi J-SAKTI (Jurnal Sains Komputer dan Informatika) Decode: Jurnal Pendidikan Teknologi Informasi Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Jurnal Informatika Teknologi dan Sains (Jinteks) Techno Lambda: Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya Engineering Science Letter Journal of Novel Engineering Science and Technology Jurnal Informatika: Jurnal Pengembangan IT Jurnal Software Engineering and Computational Intelligence Mohuyula : Jurnal Pengabdian Kepada Masyarakat Scientific Journal of Informatics Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika JOCHAC
Imam Riadi
Department Of Information Systems - Universitas Ahmad Dahlan
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Neuroscience Physics Public Health Social Sciences Other

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Perancangan Alat Monitoring Karbon Monoksida (CO) dan Partikel Debu PM 2.5 dalam Ruangan Berbasis ESP32 Devkit C V4 dan LCD OLED Putra, Marta Dwi Darma; Pujiyanta, Ardi; Riadi, Imam
JTEV (Jurnal Teknik Elektro dan Vokasional) Vol 10, No 2 (2024): JTEV (Jurnal Teknik Elektro dan Vokasional)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtev.v10i2.128386

Abstract

Polusi udara tidak hanya terjadi di alam terbuka, tetapi juga terjadi di dalam sebuah ruangan. Polusi udara adalah kondisi di mana menurunya kualitas udara karena tercemar yang disebabkan oleh polutan seperti beberapa jenis gas, asap kendaraan, asap industri dan limbah udara dari rumah tangga. Hal ini dapat menjadi lebih berbahaya dibandingkan dengan di alam terbuka. Padahal, masyarakat menghabiskan waktu sekitar 90 persen di dalam ruangan paparan debu dan asap dalam jangka waktu yang lama akan menyebabkan penyakit paru-paru, meliputi penyakit kardiovaskular, asma, bronkitis, kematian dini, dan kanker paru-paru. Perancangan alat monitoring kualitas debu dan partikel dalam ruangan pada penelitian ini menggunakan mikrokontroler ESP32 Devkit C V4, sensor debu Sharp GP2Y1010AU0F, sensor MQ 135, dilengkapi serta monitoring kualitas udara secara real time dengan menggunakan LCD OLED. Penelitian ini diharapkan dapat bermanfaat bagi masyarakat untuk memonitor kualitas udara di dalam ruangan. Hasil yang diperoleh pada hasil pengujian yang telah dilakukan terhadap kinerja alat dapat diambil kesimpulan bahwa sistem monitoring Karbon Monoksida (CO) dan partikel PM 2.5 dapat berjalan dengan baik. Alat telah dapat menampilkan pembacaan Karbon Monoksida (CO) dan partikel PM 2.5. Saat pengujian alat dibandingkan dengan alat Air Quality Detector memiliki hasil pembacaan Karbon Monoksida (CO) dengan rata – rata error 0.6% dan partikel PM 2.5 dengan rata – rata error 2.6%. Pada hasil monitoring pengujian keseluruhan selama 13 jam didapat hasil monitoring kadar Karbon Monoksida (CO) dengan rata – rata sebesar 2.7 PPM dan partikel PM 2.5 dengan rata – rata sebesar 22.5 ug/m3
Linear Kernel Optimization of Support Vector Machine Algorithm on Online Marketplace Sentiment Analysis Andrianto, Fiki; Fadlil, Abdul; Riadi, Imam
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 21, No 1 (2024): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v21i1.9266

Abstract

Twitter is a short message platform commonly used as a means of news information, commentary, and social interaction. One of the utilization of twitter is to analyze the sentiment of the online marketplace which can be used to determine the service, quality of goods, and delivery of goods on a product, service or application. This research aims to categorize the reviews or responses of the Indonesian people, especially to the online marketplace using the linear Support Vector Machine (SVM) algorithm. In order to make continuous improvements to the role of the Indonesian online marketplace in the future, sentiment analysis is needed. The analysis research tweets used were 4165 datasets using the python programming language. Sentiment analysis research stages include data collection, preprocessing, labeling, tf-idf weighting, split data, SVM model analysis and result evaluation. The data is then divided into 80% training data and 20% testing data, 50% training data and 50% testing data, 20% training data and 80% testing data. The results of the svm algorithm testing scenario obtained the highest optimization with an accuracy value of 97%, F1-score value on positive labels 88% and negative 98%, also obtained a positive recall value of 80% and negative 100% precision value on positive labels 98% and negative 97%, on 80% training data and 20% testing. It can be concluded that in this case, the linear svm algorithm is able to work to recognize models with a high level of accuracy so that in the future it can be used in similar cases.
Role of Finite State Automata in Transliterating Latin Script into Javanese Script Suprihatin, Suprihatin; Riadi, Imam; Furizal, Furizal; D.E Purwadi Putra, Izzan Julda
Khazanah Informatika Vol. 9 No. 2 October 2023
Publisher : Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/khif.v9i2.22303

Abstract

Writing Javanese script is considered complicated and difficult for people who learn it. The process of transliterating Latin into Javanese script cannot be done directly, because each alphabet is not always represented by one Javanese script. Javanese script is not represented by one or more Latin letters, so if transliteration of Latin letters to Javanese letters is required, a parsing process is required. The rows of Javanese letters form a ligature with certain rules, so parsing is also needed to arrange the rows of Javanese letters correctly. This study aims to design a program to facilitate the transliteration of Latin script to Javanese script.  Finite State Automata (FSA) is used to describe writing rules. This study is limited to lowercase letters only, capital letters will be subtracted first, number symbols are not discussed in this study. The results of the study are in the form of a program design that can transliterate Latin writing into Javanese. Experiments were carried out as many as 4 structures of vowel consonant variations. All syllabic structures that include KV, KKV, KVK, KKVK have been tried. The transliteration results show conformity with a 100% accuracy rate in accordance with the rules of writing Javanese script. This research shows that the application of FSA can handle the transliteration of Latin letters into Javanese.
Behavioral Intention to Adopt Islamic Financial Technology: Theory of Planned Behaviour with Gender Moderation Utami, Budi Barata Kusuma; Wardiwiyono, Sartini; Hawariyuni, Weni; Abduh, Muhamad; Riadi, Imam
Jurnal REKSA: Rekayasa Keuangan, Syariah dan Audit Vol. 11 No. 2 (2024)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jreksa.v11i2.11041

Abstract

The Islamic banking industry in Indonesia continues to grow, as evidenced by the presence of technology-based services. This study aims to test the application of the theory of plan behavior in explaining customer intention to use Islamic financial technology by adding gender variables as moderators. Primary data were collected from 298 Islamic fintech users through direct and online surveys. The sample was selected based on the purposive sampling technique. Using PLS MGA analysis, this study found that attitude, subjective norms, and perceived behavioral control positively affect the intention to use Islamic fintech, except for perceived behavioral control in the male gender. Using the MGA, Parametric, and Welch-Satterthwait tests, the study also revealed no significant difference between males and females in utilizing Islamic fintech. This study expands the understanding of psychological and social factors in adopting Islamic fintech. It also contributes to the literature by filling the research gap that has not considered gender moderation in adopting Islamic fintech.
FORENSIK MULTIMEDIA BERBASIS MOBILE MENGGUNAKAN METODE NATIONAL INSTITUTE OF JUSTICE Ruslan, Takdir; Riadi, Imam; Sunardi, Sunardi
Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 12 No 1 (2022): Maret 2022
Publisher : STMIK Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33020/saintekom.v12i1.210

Abstract

Current technological developments make it easier for people to share information and carry out communication activities through instant messaging applications using multimedia features in the form of audio and video. Technology has been able to contribute and facilitate humans in a positive sense, but it can also be misused to carry out negative activities. In solving crime problems using instant messages, investigators need to carry out digital forensics, including on mobile devices such as smartphones. This study aims to obtain digital evidence of online drug sales scenarios via Facebook messenger and WhatsApp using four forensic tools, namely Belkasoft, Oxygen, MOBILedit, and Magnet Axiom. The National Institute of Justice (NIJ) is used as a framework with stages, namely identification, solution, testing, evaluation, and reporting of results. out of the four tools, MOBILedit cannot recover deleted audio and video while the other three tools can recover deleted audio and video.
Security Analysis of Learning Management System Using Penetration Testing with ISSAF Framework: LMS Security Analysis Using the Pentest Method with the ISSAF Framework Umar, Rusydi; Riadi, Imam; Wicaksono, Sonny Abriantoro
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 1 (2024): March 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i1.8331

Abstract

The development of Information Technology must be balanced with security in the system in the face of hacking threats that have an impact on information leakage or service disruptions. Without the security of the system, many hackers will easily take over the system. To solve security problems, a method that ensures security is needed. This study uses the Penetration Testing method using the ISSAF frameworks. The results of this research are expected to find out the security gaps in the LMS that are currently used.
Comparative Analysis of Naïve Bayes and K-NN in Determining Location of Mobile Population Services Riadi, Imam; Yudhana, Anton; M. Rosyidi Djou
Computer Science and Information Technology Vol 4 No 3 (2023): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v4i3.6543

Abstract

Tantangan geografis dan jarak antar desa menjadi kendala dalam pemerataan pelayanan kependudukan dan pencatatan sipil. Hal ini memerlukan intervensi program jemput bola atau layanan keliling. Permasalahannya adalah tidak semua desa dapat terlayani layanan keliling, sehingga perlu dilakukan pemetaan desa-desa yang memenuhi syarat menjadi lokasi layanan keliling. Penelitian ini menjelaskan teknik pembelajaran mesin, khususnya algoritma K-NN dan Naïve Bayes, untuk mengatasi masalah pemilihan lokasi yang memenuhi syarat. Hasil percobaan menunjukkan kedua metode mempunyai tingkat akurasi yang cukup baik, dengan K-NN mencapai tingkat akurasi tertinggi sebesar 97,14% pada dataset yang dinormalisasi dengan metode Normaliasi Min-Max (NMM). Sebaliknya, Naïve Bayes menunjukkan nilai akurasi yang tinggi pada seluruh dataset. Oleh karena itu, penelitian ini merekomendasikan penggunaan algoritma K-NN dengan nilai K=2 untuk menentukan lokasi yang layak menerima layanan kependudukan bergerak.
Prediction of Indonesian Presidential Election Results using Sentiment Analysis with Nave Bayes Method Firdaus, Asno Azzawagama; Yudhana, Anton; Riadi, Imam; Mahsun, Mahsun
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 1 (2024): Januari 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i1.7007

Abstract

Social media serves as a solution for politicians as a campaign tool because it can save costs compared to conventional campaigns. The 2024 Indonesian Presidential Election has drawn public attention, especially among social media users. Twitter, as one of the widely used social media platforms in Indonesia, functions as an effective campaign forum. However, the problem that arises is how to automatically collect social media data related to presidential discussions and provide conclusions on the analysis results. Of course, this is not easy if done manually. Sentiment analysis is one approach that can be used for this in order to draw conclusions and analysis related to the available data. Data was collected shortly after the registration of presidential and vice-presidential candidates in November 2023. This study aims to obtain sentiment results from the latest data obtained, get the best model from the Naive Bayes method, to conduct analysis in predicting presidential election results based on sentiment. However, at the time of data collection, candidate numbers had not been assigned by the Election organizers. The obtained data amounted to 11,569 records using the Valence Aware Dictionary for Sentiment Reasoning (VADER) library for labeling. After removing duplicated tweets, the data was reduced to 4,893 records, with each candidate pair having 1,631 data points. The sentiment analysis classification model was determined using the Nave Bayes method with Term Frequency-Inverse Document Frequency (TF-IDF) feature extraction. Based on the data, the highest percentage of positive sentiment was found in Ganjar Pranowo - Mahfud MD data at 69.16%, and the highest negative sentiment was in Prabowo Subianto - Gibran Rakabuming Raka data at 52.12%. Common words in positive sentiment for Ganjar Pranowo - Mahfud MD include "strong," "corruption," "support," "reward," and others. Meanwhile, frequently appearing negative sentiment words for Prabowo Subianto - Gibran Rakabuming Raka include "child," "eldest," "mk," "young," and others. This research achieved an average accuracy of 76.67% using the Naive Bayes method on the entire dataset, indicating its reliability in similar cases.
Klasterisasi Perguruan Tinggi LLDIKTI V Berdasarkan Indikator Kinerja Utama dan PDDIKTI Menggunakan K-Means Clustering Fatmawaty, Virdiana Sriviana; Riadi, Imam; Herman, Herman
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 2 (2024): April 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i2.7497

Abstract

Pertumbuhan jumlah perguruan tinggi yang terus meningkat menjadi salah satu faktor krusial untuk memastikan mutu pendidikan tinggi agar berdaya saing. Komposisi perguruan tinggi di Provinsi Daerah Istimewa Yogyakarta terdiri atas 77% Perguruan Tinggi Swasta (PTS) dan sisanya adalah Perguruan Tinggi Negeri (PTN). Masing-masing perguruan tinggi memiliki Indikator Kinerja Utama (IKU) yang wajib dilaporkan dan dipenuhi, serta melakukan pendataan aktivitas pembelajarannya pada Pangkalan Data Pendidikan Tinggi (PDDIKTI). Data IKU dan data PDDIKTI ini menjadi  bahan evaluasi dan analisis untuk menentukan baseline dalam aktivitas pembinaan di LLDikti Wilayah V khususnya bagi PTS. Salah satu model analisis yang dapat dilakukan adalah dengan metode klasterisasi. Metode ini biasa digunakan pada data mining untuk mengelompokkan data berdasarkan kesamaan karakteristik data. Penelitian ini melakukan klasterisasi PTS di LLDIKTI Wilayah V menggunakan algoritma K-Means Custering. Hasil penelitian ini menunjukkan bahwa berdasarkan kesamaan karakteristik data IKU dan data PDDIKTI terbentuk empat klaster PTS, yaitu klaster 1 terdiri dari 4 PTS, klaster 2 terdiri dari 46 PTS, klaster 3 terdiri dari 21 PTS, dan klaster 4 terdiri dari 33 PTS.  Hasil analisis ini akan sangat bermanfaat bagi LLDIKTI Wilayah V dalam melakukan fungsi pembinaan kepada PTS.
Digitalisasi Portofolio Siswa Berbasis Website di SMK Informatika Wonosobo Riadi, Imam; Umar, Rusydi; Muis, Alwas; Yunus, Muhajir
Jurnal Pengabdian Masyarakat Bumi Rafflesia Vol. 6 No. 3 (2023): Desember : Jurnal Pengabdian Kepada Masyarakat Bumi Raflesia
Publisher : Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Siswa dilatih untuk memiliki skill dan pengetahuan agar dapat bekerja pada industri. Setiap siswa dituntut memiliki pengetahuan yang dapat digunakan untuk mencari kerja setelah lulus. Kebutuhan akan adaptasi terhadap perkembangan teknologi informasi dan komunikasi dalam dunia pendidikan semakin meningkat. Sehingga dibutuhkan pelatihan terkait penggunaan teknologi informasi untuk membantu siswa beradaptasi dengan perkembangan teknologi. Tujuan pelatihan ini yaitu untuk memperkenalkan siswa tentang konsep portofolio digital berbasis website dan membekali mereka dengan keterampilan menggunakan teknologi informasi yang relevan untuk membangun dan mengelola portofolio. Manfaat pelatihan ini yaitu membantu siswa untuk mempresentasikan karya-karya mereka secara efektif kepada pihak-pihak yang berkepentingan seperti calon perguruan tinggi dan pemberi kerja. Metode analisis data pada pelatihan ini menggunakan metode likert dengan memberikan pernyataan dan memberikan jawaban mulai dari sangat setuju, setuju, netral, tidak setuju, dan sangat tidak setuju. Siswa berhasil membangun portofolio digital yang menarik dan profesional, memamerkan karya-karya mereka dengan efektif. Metode pengumpulan data pada kegiatan ini yaitu menggunakan kuesioner. ini menunjukkan bahwa pelatihan portofolio menggunakan website sangat mudah dipahami oleh siswa. Selain itu, seluruh siswa berharap pelatihan seperti sering diadakan untuk membantu dalam memanfaatkan teknologi informasi untuk pengembangan diri. Penerapan pelatihan ini di SMK Informatika Wonosobo memberikan manfaat yang signifikan bagi siswa dalam menghadapi tantangan di era digital.   Kata Kunci: Google sites, pelatihan, portofolio, website
Co-Authors ., Andi Zulherry Abdul Fadlil Abdul Fadlil Abdullah Hanif Abdullah Hanif Abe, Tuska Achmad Nugrahantoro Achmad Syauqi Ade Davy Wiranata Ade Elvina Adhi Prabowo, Basit Adiniah Gustika Pratiwi Agung Wahyudi Agus Wijayanto Ahmad Azhar Kadim Ahmad Azhari Ahmad Luthfi Ahmad, Muhammad Sabri Aini, Fadhilah Dhinur Akrom, Akrom Al Amany, Sarah Ulfah Alawi, Hanna Syahida Andrianto, Fiki Anggara, Rio Annisa, Putri Anshori, Ikhwan Anton Yudahana Anton Yudhana Anton Yudhana ANWAR, FAHMI anwar, nuril Apriliani, Evinda Aprilliansyah, Deco Ardi Pujiyanta Arif Rahman Arif Rahman Arif Wirawan Muhammad Arif Wirawan Muhammad Arif Wirawan Muhammad Arini, Merita Ariqah Adliana Siregar Arizona Firdonsyah Asno Azzawagama Firdaus Asruddin, Asruddin Astika AyuningTyas, Astika Aulia, Aulia Aulyah Zakilah Ifani Bahagiya, Multika Untung Bashor Fauzan Muthohirin Basir, Azhar Bernadisman, Dora Budi Barata Kusuma Utami Budin, Shiha Busthomi, Iqbal Chandra Kurniawan, Gusti D.E Purwadi Putra, Izzan Julda Davito Rasendriya Rizqullah Putra Davito Rasendriya Rizqullah Putra Deco Aprilliansyah Dewi Astria Faroek Dewi Estri Jayanti Dikky Praseptian M Dwi Aryanto Eddy Irawan Aristianto Ediansa, Oka Eko Brillianto Eko Handoyo Eko Handoyo Elfatiha, Muhammad Ihya Aulia Elvina, Ade Ervin Setyobudi Fadhilah Dhinur Aini Fadhilah Dhinur Aini Fadlil , Abdul Fahmi Anwar Fahmi Auliya Tsani Faiz , Muhammad Nur Faiz Isnan Abdurrachman Fakhri, La Jupriadi Fanani, Galih Fatmawaty, Virdiana Sriviana Faulinda Ely Nastiti Fauzan Natsir Fauzan, Fauzan Firdonsyah, Arizona Fithriatus Shalihah Fitri, Fitriyani Tella Fitriyani Tella Furizal Furizal, Furizal Galih Fanani Galih Pramuja Inngam Fanani Guntur Maulana Zamroni Guntur Maulana Zamroni, Guntur Maulana Habie, Khairul Fathan Hafizh, Muhammad Nasir Hanif, Abdullah Harman, Rika Haryanto, Eri Helmiyah, Siti Herman Herman Herman Herman Herman Yuliansyah Herman Yuliansyah, Herman Hidayati, Anisa Nur Himawan I Azmi Iis Wahyuningsih Ikhram, Ridho Ikhsan Zuhriyanto Ikhwan Anshori Iqbal Busthomi Irhas Ainur Rafiq Irhash Ainur Rafiq Iwan Tri Riyadi Yanto, Iwan Tri Riyadi Jamalludin Jamalludin Jamalludin, Jamalludin Jayawarsa, A.A. Ketut Joko Handoyo Joko Triyanto Kariyamin, Kariyamin Kartoirono, Suprihatin Kurniawan, Endang Kurniawan, Gusti Chandra Kusuma, Ridho Surya Laura Sari Luh Putu Ratna Sundari M Rosyidi Djou M. Rosyidi Djou M.A. Khairul Qalbi Mahsun Mahsun Maulana, Irvan Miladiah Miladiah Miladiah, Miladiah Muammar Muammar, Muammar Muchlas Muchlas Muflih, Ghufron Zaida Muh. Hajar Akbar Muhajir Yunus Muhamad Abduh, Muhamad Muhamad Caesar Febriansyah Putra, Muhamad Caesar Febriansyah Muhammad Abdul Aziz Muhammad Abdul Aziz Muhammad Fahmi Mubarok Nahdli Muhammad Faqih Dzulqarnain, Muhammad Faqih Muhammad Fauzan Gustafi Muhammad Ihya Aulia Elfatiha Muhammad Irwan Syahib Muhammad Kunta Biddinika Muhammad Muhammad Muhammad Nur Faiz Muhammad Syukri Muhammad Yanuar Efendi Muhammad Zulfadhilah Muis, Alwas Murinto Murinto Murinto Murni Murni Murti, Raden Hario Wahyu Musa, Shahrulniza Mushab Al Barra Mustafa Mustafa Mustafa Mustafa NANNY, NANNY Nasrulloh, Imam Mahfudl Nasution, Dewi Sahara Nia Ekawati, Nia Nur Faiz, Muhammad Nur Hamida Siregar Nur Miswar Nur Widiyasono, Nur Nuril Anwar Nuril Anwar, Nuril Nurmi Hidayasari Panggah Widiandana Prabowo, Basit Adhi Pradana Ananda Raharja Prakoso, Danar Cahyo Prambudi, Rizal Prambudi, Rizal Prambudi Prasetyaningrum, Putri Taqwa Prasongko, Riski Yudhi Purwaningrum, Santi Purwanto Purwanto Purwono Purwono, Purwono Putra, Marta Dwi Darma Putri Annisa Putro, Aldibangun Pidekso Raden Hario Wahyu Murti Raden Mohamad Herdian Bhakti Rafiq, Irhash Ainur Rahmat Ardila Dwi Yulianto Ramadhani, Erika Ramansyah Ramansyah Rauli, Muhamad Ermansyah Rauli, Muhamad Ermansyah Ridho Surya Kusuma Rio Anggara Rio Widodo Robiin, Bambang Rochmadi, Tri Roni Anggara Putra Rudy Ansari, Rudy Ruslan, Takdir Rusydi Umar Rusydi Umar Rusydi Umar Ruuhwan Ruuhwan Safiq Rosad Sahiruddin Sahiruddin Salim, Mansyur Santi Purwaningrum Sari, Laura Shiha Budin Sismadi, Wawan Sri Mulyaningsih Sri Winiarti Sri Winiati St Rahmatullah Sudinugraha, Tri Sugandi, Andi Suhartono, Bambang Sukma Aji Sunardi Sunardi - Sunardi Sunardi sunardi sunardi Sunardi, Sunardi Suprihatin Suprihatin Suprihatin Suprihatin Suprihatin Supriyanto Suryanto, Farid Syaefudin, Rizal Syahib, Muhammad Irwan Syahida Alawi, Hanna Syahrani Lonang Syarifudin, Arma Taufiq Ismail Taufiq Ismail Tawar Tawar Tole Sutikno Tri Lestari Tri Lestari Triyanto, Joko Umar, Rusdy Veithzal Rivai Zainal Verry Noval Kristanto W, Yunanri Wahyusari, Retno Wardiwiyono, Sartini Wasito Sukarno Weni Hawariyuni, Weni Wicaksono Yuli Sulistyo Wicaksono Yuli Sulistyo Wicaksono, Sonny Abriantoro Widiandana, Panggah WIDODO, RIO Winiati, Sri Wintolo, Hero Wisnu Pranoto Yana Mulyana Yana Mulyana Yana Safitri, Yana Yudi Kurniawan Yudi Kurniawan Yudi prayudi Yulian Wahyu Permadi Yuliansyah, Herman Yuliansyah, Herman Zein, Wahid Alfaridsi Achmad