Article Per Year (5 Year)
p-Index From 2020 - 2025
8.73
P-Index
This Author published in this journals
All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics JOIV : International Journal on Informatics Visualization JRSI (Jurnal Rekayasa Sistem dan Industri) Syntax Literate: Jurnal Ilmiah Indonesia Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri SEIKO : Journal of Management & Business METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi J-SAKTI (Jurnal Sains Komputer dan Informatika) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Indonesian Journal of Electrical Engineering and Computer Science International Journal of Advances in Data and Information Systems JURNAL PENDIDIKAN, SAINS DAN TEKNOLOGI Charity : Jurnal Pengabdian Masyarakat J-SAKTI (Jurnal Sains Komputer dan Informatika) Abdiformatika: Jurnal Pengabdian Masyarakat Informatika eProceedings of Engineering International Journal of Advanced Science Computing and Engineering Community Service Seminar and Community Engagement (COSECANT) Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan
Rd. Rohmat Saedudin
Universitas Telkom
Arts Humanities Automotive Engineering 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 Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

Published : 124 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 124 Documents
Search

 1   2   3   4   5 
Analisa Dan Perancangan Enterprise Architecture Pada Fungsi Produksi Tanaman Pangan Dan Hortikultura Dinas Tanaman Pangan Dan Hortikultura Provinsi Jawa Barat Menggunakan Framework Togaf ADM Irwani, Tesi; Saedudin, Rd Rohmat; Hanafi, Ridha
Jurnal Rekayasa Sistem & Industri Vol 3 No 04 (2016): Jurnal Rekayasa Sistem & Industri - Oktober 2016
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v3i04.277

Abstract

Teknologi informasi (TI) telah menjadi salah satu strategi utama dalam mendukung perusahaan atau instansi untuk keberlangsungan proses-proses yang ada sehingga dapat mencapai tujuannya. Begitu pula dengan instansi pemerintahan yang perlu menyelaraskan antara strategi bisnis instansi dengan strategi TI yang sesuai dengan kebutuhan instansi. Instansi pemerintahan yang menjadi objek pada penelitian ini adalah Dinas Tanaman Pangan dan Hortikultura Provinsi Jawa Barat (Distan Provinsi Jawa Barat). Distan Provinsi Jawa Barat merupakan instansi pemerintahan yang mempunyai tugas pokok untuk melaksanakan urusan pemerintah daerah bidang pertanian tanaman. Dalam menjalankan proses bisnisnya, instansi belum dapat mengoptimalkan keberadaan dan penggunaan TI untuk mendukung keberlangsungan proses bisnisnya. Hal tersebut berdampak pada pelayanan proses produksi tanaman pangan dan hortikultura yang tidak efektif dan efisien. Gejala permasalahan yang terjadi dikarenakan tidak terdapatnya suatu standar atau pedoman dalam menjalankan proses bisnis instansi dengan dukungan TI yang tepat. Dalam menjawab permasalahan tersebut, dibutuhkannya suatu pedoman dalam menyelenggarakan urusan bisnis sehingga dapat selaras dengan strategi TI. Metode yang digunakan yaitu perancangan suatu Enterprise Architecture (EA) dengan bantuan framework TOGAF (The Open Group Architecture Framework) yang didalamnya terdapat beberapa fase perancangan arsitektur. Salah satu komponen TOGAF yaitu TOGAF ADM (Architecture Development Method), menjadi metodologi dan sebagai lingkup dari perancangan EA pada instansi. Fase-fase perancangan EA yang terdapat pada TOGAF ADM antara lain yaitu fase preliminary, architecture vision, business architecture, information system architecture, technology architecture, opportunities and solutions, dan migration planning. Perancangan arsitektur yang menggunakan TOGAF ADM nantinya akan disesuaikan dengan kondisi dan kebutuhan bisnis instansi. Keluaran atau hasil dari perancangan EA  pada instansi Distan Provinsi Jawa Barat yaitu berupa artifak-artifak pada komponen TOGAF ADM mulai dari fase preliminary hingga migration planning, serta architecture roadmap sebagai rekomendasi penerapan dan pengembangan TI. Dengan adanya blueprint dari arsitektur tersebut, maka instansi dapat memiliki pedoman pelaksanaan proses bisnis dan penarikan keputusan dalam penerapan sistem informasi maupun teknologi yang akan digunakan dalam kurun waktu tertentu sesuai dengan kebutuhan instansi.
PERANCANGAN ENTERPRISE ARCHITECTURE FUNGSI PEMASARAN DAN CRM PADA INDUSTRI PARIWISATA DI PERUM PERHUTANI UNIT III DENGAN MENGGUNAKAN FRAMEWORK TOGAF Purba, Fitri Febriana; Saedudin, RD Rohmat; Rahmad, Basuki
Jurnal Rekayasa Sistem & Industri Vol 3 No 04 (2016): Jurnal Rekayasa Sistem & Industri - Oktober 2016
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v3i04.167

Abstract

Abstrak—Perum Perhutani Unit III merupakan salah satu penyedia sektor pariwisata alam yang mengelola sumberdaya hutan di kawasan Jawa Barat dan Banten. Perkembangan industri pariwisata menuntut Perum Perhutani Unit III untuk memilih strategi pemasaran terbaik dan mengelola hubungan dengan pelanggan untuk menghasilkan keunggulan wisata yang kompetitif. Oleh karena itu, Perum Perhutani Unit III membutuhkan perancangan enterprise architecture yang dapat meningkatkan kinerja pemasaran dan manajemen hubungan pelanggan melalui pemanfaatan dan penyelarasan teknologi informasi. Perancangan enterprise architecture menggunakan framework TOGAF yang mempunyai beberapa fase, diantaranya preliminary phase, architecture vision, architecture business, information system architecture, dan technology architecture. Hasil perancangan ini berupa model bisnis target dan artifak. Kata Kunci: Enterprise Architecture, TOGAF, Pariwisata, Perum Perhutani, Pemasaran, Manajemen Hubungan Pelanggan   Abstract—Perum Perhutani Unit III is one of the providers of natural tourism sector that manages forest resources in West Java and Banten. The development of tourism industry demands Perum Perhutani Unit III to choose the best marketing strategy and manage customer relationship to produce competitive tourism advantage. Therefore, Perum Perhutani Unit III requires the design of enterprise architecture that can improve the performance of marketing and customer relationship management through the utilization and alignment of information technology. The design of enterprise architecture use TOGAF framework that has several phases, including preliminary phase, architecture vision, architecture business, information system architecture, and technology architecture. The results of this design are target business models and artifacts. Keywords: Enterprise Architecture, TOGAF, Tourism, Perum Perhutani, Marketing, Customer Relationship Management
A regression approach for prediction of Youtube views Rui, Lau Tian; Afif, Zehan Afizah; Saedudin, R. D. Rohmat; Mustapha, Aida; Razali, Nazim
Bulletin of Electrical Engineering and Informatics Vol 8, No 4: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (447.771 KB) | DOI: 10.11591/eei.v8i4.1630

Abstract

YouTube has grown to be the number one video streaming platform on Internet and home to millions of content creator around the globe. Predicting the potential amount of YouTube views has proven to be extremely important for helping content creator to understand what type of videos the audience prefers to watch. In this paper, we will be introducing two types of regression models for predicting the total number of views a YouTube video can get based on the statistic that are available to our disposal. The dataset we will be using are released by YouTube to the public. The accuracy of both models are then compared by evaluating the mean absolute error and relative absolute error taken from the result of our experiment. The results showed that Ordinary Least Square method is more capable as compared to the Online Gradient Descent Method in providing a more accurate output because the algorithm allows us to find a gradient that is close as possible to the dependent variables despite having an only above average prediction.
Cloud Computing Issues, Challenges, and Needs: A Survey Mohammad Aljanabi; Shams N. Abd-Alwahab; RD Rohmat Saedudin; Hind Raad Ebraheem; - Defni; Ronal Hadi; Mohd Arfian Ismail
JOIV : International Journal on Informatics Visualization Vol 5, No 3 (2021)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.5.3.671

Abstract

Cloud computing represents a kind of computing that is based on the sharing of computing resources instead of possessing personal devices or local servers for handling several applications and tasks. This kind of computing includes three distinguished kinds of services provided remotely for clients that can be accessed by using the Internet. Typically, clients work on paying annual or monthly service fees for suppliers, in order to gain access to systems that work on delivering infrastructure as a service, platforms as a service, and software as a service for any subscriber. In this paper, the usefulness and the abuse of the cloud computing are briefly discussed and presented by highlighting the influences of cloud computing in different areas. Moreover, this paper also presents the kinds and services of cloud. In addition, the security issues that cover the cloud security solution requirements, and the cloud security issues, which is one of the biggest issues in recent years in cloud computing were presented in this paper. The security requirement that needs by the cloud computing covers privacy, lack of user control, unauthorized secondary usage, and finally data proliferation and data flow. Meanwhile, the security issues cover including ownership of device, the trust issue and legel aspects. To overcome the security issues, this paper also presents the solution at the end of this paper.
A Soft Set-based Co-occurrence for Clustering Web User Transactions Edi Sutoyo; Iwan Tri Riyadi Yanto; Rd Rohmat Saedudin; Tutut Herawan
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 3: September 2017
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v15i3.6382

Abstract

Grouping web transactions into some clusters are essential to gain a better understanding the behavior of the users, which e-commerce companies widely use this grouping process. Therefore, clustering web transaction is important even though it is challenging data mining issue. The problems arise because there is uncertainty when forming clusters. Clustering web user transaction has used the rough set theory for managing uncertainty in the clustering process. However, it suffers from high computational complexity and low cluster purity. In this study, we propose a soft set-based co-occurrence for clustering web user transactions. Unlike rough set approach that uses similarity approach, the novelty of this approach uses a co-occurrence approach of soft set theory. We compare the proposed approach and rough set approaches regarding computational complexity and cluster purity. The result demonstrates better performance and is more effective so that lower computational complexity is achieved with the improvement more than 100% and cluster purity is higher as compared to two previous rough set-based approaches.
Comparative analysis of classification algorithms for chronic kidney disease diagnosis Zainuri Saringat; Aida Mustapha; R. D. Rohmat Saedudin; Noor Azah Samsudin
Bulletin of Electrical Engineering and Informatics Vol 8, No 4: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (349.3 KB) | DOI: 10.11591/eei.v8i4.1621

Abstract

Chronic Kidney Disease (CKD) is one of the leading cause of death contributed by other illnesses such as diabetes, hypertension, lupus, anemia or weak bones that lead to bone fractures. Early prediction of CKD is important in order to contain the disesase. However, instead of predicting the severity of CKD, the objective of this paper is to predict the diagnosis of CKD based on the symptoms or attributes observed in a particular case, whether the stage is acute or chronic. To achieve this, a classification model is proposed to label stage of severity for kidney diseases patients. The experiments then investigated the performance of the proposed classification model based on eight supervised classification algorithms, which are ZeroR, Rule Induction, Support Vector Machine, Naïve Bayes, Decision Tree, Decision Stump, k-Nearest Neighbour, and Classification via Regression. The performance of the all classifiers is evaluated based on accuracy, precision, and recall. The results showed that the regression classifier perform best in the kidney diagnostic procedure.
Comparative analysis of classification algorithms for chronic kidney disease diagnosis Zainuri Saringat; Aida Mustapha; R. D. Rohmat Saedudin; Noor Azah Samsudin
Bulletin of Electrical Engineering and Informatics Vol 8, No 4: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (349.3 KB) | DOI: 10.11591/eei.v8i4.1621

Abstract

Chronic Kidney Disease (CKD) is one of the leading cause of death contributed by other illnesses such as diabetes, hypertension, lupus, anemia or weak bones that lead to bone fractures. Early prediction of CKD is important in order to contain the disesase. However, instead of predicting the severity of CKD, the objective of this paper is to predict the diagnosis of CKD based on the symptoms or attributes observed in a particular case, whether the stage is acute or chronic. To achieve this, a classification model is proposed to label stage of severity for kidney diseases patients. The experiments then investigated the performance of the proposed classification model based on eight supervised classification algorithms, which are ZeroR, Rule Induction, Support Vector Machine, Naïve Bayes, Decision Tree, Decision Stump, k-Nearest Neighbour, and Classification via Regression. The performance of the all classifiers is evaluated based on accuracy, precision, and recall. The results showed that the regression classifier perform best in the kidney diagnostic procedure.
A regression approach for prediction of Youtube views Lau Tian Rui; Zehan Afizah Afif; R. D. Rohmat Saedudin; Aida Mustapha; Nazim Razali
Bulletin of Electrical Engineering and Informatics Vol 8, No 4: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (447.771 KB) | DOI: 10.11591/eei.v8i4.1630

Abstract

YouTube has grown to be the number one video streaming platform on Internet and home to millions of content creator around the globe. Predicting the potential amount of YouTube views has proven to be extremely important for helping content creator to understand what type of videos the audience prefers to watch. In this paper, we will be introducing two types of regression models for predicting the total number of views a YouTube video can get based on the statistic that are available to our disposal. The dataset we will be using are released by YouTube to the public. The accuracy of both models are then compared by evaluating the mean absolute error and relative absolute error taken from the result of our experiment. The results showed that Ordinary Least Square method is more capable as compared to the Online Gradient Descent Method in providing a more accurate output because the algorithm allows us to find a gradient that is close as possible to the dependent variables despite having an only above average prediction.
OPTIMALISASI UMUR BTS, JUMLAH MAINTENANCE SITE CREW DAN PENENTUAN BIAYA MAINTENANCE DENGAN MENGGUNAKAN METODE LIFE CYCLE COST (STUDI KASUS: PT TELKOMSEL INDONESIA) Alfrianiko Anggriawan; Rd. Rohmat Saedudin; Amelia Kurniawati
JRSI (Jurnal Rekayasa Sistem dan Industri) Vol 2 No 03 (2015): Jurnal Rekayasa Sistem & Industri - Juli 2015
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v2i03.62

Abstract

Pertumbuhan jumlah pengguna jasa telekomunikasi di Indonesia meningkat periode 2009-2013. Pada tahun 2013 tercatat jumlah pengguna jasa seluler mencapai 300 juta pelanggan yang melebihi jumlah penduduk Indonesia yang diperkirakan berjumlah 243,6 juta. PT Telkomsel Indonesia merupakan salah satu perusahaan penyedia jasa telekomunikasi yang tercatat memiliki pelanggan sebanyak 131,5 juta dan menguasai sekitar 49% pangsa pasar jasa telekomuniksai seluler. Salah satu infrastruktur penting dalam mendukung kegiatan operasional operator seluler adalah Base Transceiver Station (BTS). Jika terjadi kerusakan pada BTS yang menyebabkan BTS down, maka akan berakibat hilangnya potential revenue dan hilangnya kepercayaan konsumen. Selain itu penggunaan yang cukup lama juga dapat menyebabkan penuaan BTS dan meningkatnya hazard rate. Oleh karena itu perlu dilakukan analisis umur optimal dari BTS tersebut. Jika BTS mengalami kerusakan akan ditangani oleh maintenance site crew. Jika jumlah site crew banyak akan meningkatkan maintenance cost yang harus dikeluarkan perusahaan, namun jika jumlahnya kurang akan meningkatkan shortage cost. Oleh karena itu juga perlu dilakukan penentuan jumlah maintenance site crew optimal. Metode yang digunakan untuk optimasi tersebut adalah metode life cycle cost. Metode life cycle cost mengkombinasikan umur mesin dan jumlah site crew untuk mendapatkan life cycle cost minimal. Berdasarkan data TTF dan TTR dilakukan plotting distribusi dan penentuan distribusi yang mewakili. Selanjutnya dilakukan pengolahan data sustaining cost dan acquisition cost untuk mendapatkan life cycle cost terkecil. Berdasarkan hasil perhitungan didapatkan life cycle cost terkecil adalah Rp54,467,056,568.00 dengan umur optimal 5 tahun dan jumlah maintenance site crew 5.
Analisis Dan Perancangan Power Management Data Center Berdasarkan Tiering Level Di Pemerintahan Kabupaten Bandung Menggunakan Standar TIA-942 Dengan Metode PPDIOO Life-Cycle Approach Ibnu Caesar; Rd Rohmat Saedudin; Umar Y.K.S. Hediyanto
JRSI (Jurnal Rekayasa Sistem dan Industri) Vol 3 No 04 (2016): Jurnal Rekayasa Sistem & Industri - Oktober 2016
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v3i04.280

Abstract

Dinas Komunikasi, Informatika dan Statistik Kabupaten Bandung bertanggung jawab terhadap layanan dibidang komunikasi dan informatika. Saat ini dinas tersebut telah memiliki data center yang berfungsi sebagai penyedia layanan di bidang komunikasi dan informatika bertempat pada gedung kantor DISKOMINFO. Berdasarkan rencana jangka panjang kedepannya data center tersebut akan dikembangkan baik secara infrastruktur, hardware, dan layanan yang diberikan. Oleh karena itu dibutuhkan sebuah perencanaan yang baik terhadap seberapa besar daya yang akan digunakan kedepannya dan sistem kelistrikan yang sesuai. Dibutuhkan perancangan power management data center yang sesuai dengan kebutuhan daya pada data center tersebut. Rancangan ini menggunakan metode PPDIOO Life-Cycle Approach pada tiga tahapan awal yaitu prepare, plan, design dan sesuai dengan standar TIA-942. Penggunaan metode ini cocok dengan pengembangan data center Pemerintah Kabupaten Bandung yang berkelanjutan dengan adanya tahap optimize untuk pengembangan jangka panjang data center tersebut. Hasil akhir dari penelitian ini berupa guideline pengembangan data center sesuai standar TIA-942 yang terbagi kedalama tiering level, diketahui bahwa penggunaan daya pada tier 1 sebesar 82954 watt membutuhkan generator yang berukuran 110 kVA, pada tier 2 penggunaan daya sebesar 111079 watt membutuhkan generator yang berukuran 145 kVA, dan pada tier 3 penggunaan daya sebesar 136309 watt membutuhkan generator yang berukuran 175 kVA.
Co-Authors Abel Nathalia Widyastoro Adityas Adityas Adityas Widjadjarto Afif, Zehan Afizah Ahmad Fakhri Rizaldi Ahmad Munansyah Aida Mustapha Aida Mustapha, Aida Alfinansyah, Muhammad Dzaki Alfrianiko Anggriawan Alfrianiko Anggriawan Alfrianiko Anggriawan, Alfrianiko Amelia Kurniawati Ananda Anggie Nur Aini Ananda Fiqri Firdaus Ananda Risya Triani Angelia Lionardi Angelia Lionardi Anis Farihan Mat Raffei Anwar Sadat Anwar x Anwar Sadat Aria Fajar Ramdhany Ariq Yumna Mubarok Arvel Kennard Yeremia Avon Budiono Avon Budiono Avon Budiyono Azie, Febryan Elfanuary Bambang Tejo Kusumo BASUKI RAHMAD Basuki Rahmat Berka Irfansyah Berlian Maulidya Izzati Birahmatika, Raafi Asta Budi Praptono Budiono, Avon Caudinata, Owen Choon Sen Seah Daffa, Raihan Deya Ika Wardani Dicky Dwi Kurniawan Putra Dicky Hidayat Dida Diah Damayanti Fadhila, Muhammad Hilman Fajrin, Salsa Fauziyyah Faqih Hamami Faris Aufar Putra Farras Naim Fatin, Kanza Jilan Fatur Rachman Rasyid Fauzi, Rokhman Febryan Elfanuary Azie Fiega Dwi Novwari Fikri, Daffa Ilham Firdayakusmawarni Firdayakusmawarni Fitri Febriana Purba Fitri Febriana Purba, Fitri Febriana Fransiskus Tatas Dwi Atmaji Hamim Maafifa Nugraha Harizillah, M Ahyar Haryasena Panduwiyasa Haseeb Ali Himatul Zulfa Hind Raad Ebraheem Ibnu Caesar Ibnu Caesar, Ibnu Ibnu Yazid Ikhwana Ibrahim Hanif Alkhalil Ihfan Aditya Ghafur Intan Dwi Ariesta Putri Irfan Dwi Rahadianto Ismayana, I Nyoman Gede Iwan Tri Riyadi Yanto Iwan Tri Riyadi Yanto Judi Alhilman K. S. H., Umar Yunan Kashif Hussain Krisna Aji Wicaksono Kurniawan , MT. Kurniawan Kurniawan Kurniawan Kurniawan, M. Teguh Kurniawan, MT Kurniawan, MT. Lau Tian Rui Ling, Teng Mee Lingga Priyadi M Teguh Kurniawan M. Rafi Mario Mario Mochamad Hafiz Kurniawan Mochamad Teguh Kurniawan Mohamad Rizky Utomo Mohamad Tohir Mohammad Aljanabi Mohd Arfian Ismail Mohd Arfian Ismail Mohd Farhan Md Fudzee Mohd Najib Mohd Salleh Mohd Saberi Mohamad Muhammad Amanulloh Mz Muhammad Fadhil Muhammad Faheem Mushtaq Muhammad Fathinuddin Muhammad Fauzan Nasrullah Muhammad Hasbi Abid Ersalan Muhammad Ilham Zakky Mubarrak Muhammad Iqbal Muhammad Reyza Yana Putra Mustafa Mat Deris Nasrullah, Muhammad Fauzan Naufan, Zidni Ilman Nazim Razali Nenden Eva Nenden Eva Meilani Herlina Ni Kadek Dewi Pradnyawati Nicolaus Advendea Prakoso Indaryono Nina Nursetia Ningrum Noor Azah Samsudin Nor Afifah Shafin Nor Hazana Abdullah Norhalina Senan Novi Andriani, Novi Nur Ismianah Nur Syaza Izzati Mohd Rafei Oskar Halomoan Manalu Panji Permana Syahid Perkasa, Bimasetya Putri , Nabillah Verizky R. Wahjoe Witjaksono R. Yunendah Nur Fu’adah Rachmadita Andeswari Raharjo Putra Kurniadi Rahayu, Fresa Febrianti Rahma Karina Rahman, Ilham Auliya Rahmat Mulyana Rahmiati Aulia Rajif Rizal Fahlevi Ramadhan , Farhan Razali, Nazim Rd. Panji Erdinanda Pandu Jiwatama Regi Alvino Revi Fahreza Al Hazmi Reza Satya Rahmawan Rian Bimo Ankhal Ridha Hanafi Riksa Belasunda Rizki Yantami Arumsari Rodziah Atan Rohayanti Hassan Ronal Hadi Rui, Lau Tian Safitra, Muhammad Fakhrul Sahrial Hasan Wicaksana Samuel Putra Hari Satryo Dwi Sutrisno Sayyid Taufiq Abdulhafizh Selvi Marcellia Sely Novita Sari Seno Adi Putra Septian Sony Hermawan Septian Sony Hermawan Septiya Mutiara Septo, Umar Yunan Kurnia Shahreen Kasim Shahreen Kasim, Shahreen Shams N. Abd-Alwahab Shinta Meiliana Herdiani Singgih Krismarwantoni Sadino Siti Hajar Komariah Subhan Ari Raka Pradana Sulistijono Sulistijono Sutoyo, Edi Sutrisno Sutrisno Sutrisno Sutrisno Syarah Tazkiatun Nupus Syifa Sofiaturrohmah Syihan Qaes Yamani Syinta Kesuma Aisyah Tarjono, Muhamad Felix Nugraha Tesi Irwani Tesi Irwani, Tesi Triastuty Pardede Triastuty Pardede Triastuty Pardede, Triastuty Tutut Herawan Ugi Chandra Wiguna Umar Y.K.S. Hediyanto Umar Y.K.S. Hediyanto, Umar Y.K.S. Umar Yunan Umar Yunan K. S. H. Umar Yunan K.s. Hediyanto Umar Yunan KSP Yunan KSP Umar Yunan Kurnia Septo Hediyanto Vandha Pradwiyasma Widartha Vegi Fransiska Veronika Sari Asih Warih Puspitasari Wawan Tripiawan Yasser Sutojoyo Kusumo Yoga Yuniadi Yossy Meidy Wijaya Yossy Meidy Wijaya Yuanika Indanea Zainuri Saringat Zalino, Rama Rafitra Zalmiyah Zakaria Zehan Afizah Afif