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All Journal HAYATI Journal of Biosciences Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) Jurnal Fitopatologi Indonesia Buletin Hama dan Penyakit Tumbuhan Jurnal Agrista JIK Jurnal Ilmu Komputer Microbiology Indonesia BIOTROPIA - The Southeast Asian Journal of Tropical Biology Jurnal Ilmu Komputer dan Agri-Informatika Teodolita: Media Komunikasi Ilmiah di Bidang teknik Seminar Nasional Informatika (SEMNASIF) Jurnal Perlindungan Tanaman Indonesia Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Ilmiah Universitas Batanghari Jambi Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JITK (Jurnal Ilmu Pengetahuan dan Komputer) IKRA-ITH Informatika : Jurnal Komputer dan Informatika Jurnal Informatika Universitas Pamulang Eduscience : Jurnal Ilmu Pendidikan Jurnal Pengabdian Masyarakat AbdiMas Astonjadro IKRA-ITH ABDIMAS AL-TANZIM : JURNAL MANAJEMEN PENDIDIKAN ISLAM JUTEKIN (Jurnal Manajemen Informatika) Simtek : Jurnal Sistem Informasi dan Teknik Komputer Aptisi Transactions on Technopreneurship (ATT) CCIT (Creative Communication and Innovative Technology) Journal Jurnal Teknologi Komputer dan Sistem Informasi Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Generation Journal Jurnal Tekinkom (Teknik Informasi dan Komputer) Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences International Journal Of Science, Technology & Management (IJSTM) Fokus Elektroda: Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) IAIC Transactions on Sustainable Digital Innovation (ITSDI) Jurnal Teknologi dan Sistem Tertanam Devotion: Journal of Research and Community Service Jurnal Minfo Polgan (JMP) Journal of Social Research Ilmu Komputer untuk Masyarakat Jurnal Locus Penelitian dan Pengabdian IKA BINA EN PABOLO : PENGABDIAN KEPADA MASYARAKAT Jurnal Indonesia Sosial Teknologi Jurnal Indonesia Sosial Sains Eduvest - Journal of Universal Studies Innovative: Journal Of Social Science Research Media Abdimas Jurnal penelitian jalan dan Jembatan Asian Journal of Social and Humanities Jurnal Ilmu Ekonomi, Pendidikan dan Teknik (IDENTIK) Jurnal Pengabdian kepada MASyarakat (J-PMAS) Innovative Research in Civil and Environmental Engineering (IRCEE) Global Insights in Management and Economic Research
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Artificial Intelligence Robots And Revolutionizing Society In Terms Of Technology, Innovation, Work And Power Nabila, Efa Ayu; Santoso, Sugeng; Muhtadi, Yudi; Tjahjono, Budi
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 3 No 1 (2021): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v3i1.526

Abstract

In what ways do recent advances in robotics and artificial intelligence signal a historic economic and social transformation? This study presents a critical assessment of the subject, critiques many of the ongoing debates of technical determinism, and reframes the issues involved within a political-economic and social framework. It focuses on technological innovation's economic, political, and historical processes and their implications for employment and financial restructuring, mediated by sovereign and discursive authorities. Several epistemological and empirical issues with a transformational viewpoint are noted, and alternative views are suggested to highlight the complexity and ambiguity surrounding current and future trends. Robotics entered when the industrial revolution had many significant changes for humans. Efficiency is increased to produce various productive things. This paper uses a literature study as a method. The results of his discussion on Revolutionizing Society In Terms Of Technology, Innovation, Work And Power of Robotics.
E-Commerce Product Image-Based Recommendation System Kalcare.Com Using Deep Learning Natadirja, Trenggana; Akbar, Habibullah; Firmansyah, Gerry; Tjahjono, Budi
Jurnal Indonesia Sosial Teknologi Vol. 4 No. 8 (2023): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v4i8.669

Abstract

Recommendation systems have now become an important part of a digital service, one example is e-commerce. The facts show that the COVID-19 pandemic has had a significant impact on customers by making them spend more time surfing online to get daily necessities products by shopping on e-commerce sites. With the rapid development of deep learning technology today, of course, it can be used to help in terms of the process of producing a product image-based recommendation system that has a fairly high level of similarity. This study will discuss how to produce an image-based product recommendation system architecture by comparing the results of the application of algorithms 8 pre-trained models that are available and have also been widely used in various studies and the information technology industry. The dataset used is product images sourced from the kalcare.com website. After testing the pre-trained model, then an application prototype was made to be tested then in the final stage of this research a poll was conducted to determine the response and opinion of users to the protopine recommendation system made for e-commerce kalcare.com using deep learning.
Workshop Pengenalan Aplikasi CPU OS Simulator untuk Penjadualan First-Come First-Served (FCFS) Agung Mulyo Widodo; Roesfiansjah Rasjidin; Muhamad Bahrul Ulum; Binastya Anggara Sekti; Nixon Erzed; Ryan Putra Laksana; Budi Tjahjono; Hendry Gunawawan
IKRA-ITH ABDIMAS Vol. 7 No. 3 (2023): Jurnal IKRAITH-ABDIMAS Vol 7 No 3 November 2023
Publisher : Universitas Persada Indonesia YAI

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Abstract

CPU OS Simulator merupakan aplikasi simulator yang mendukung proses pembelajaran yang mensinergikan dari sisi perangkat keras maupun perangkat lunak. Dalam aplikasi ini terdapat modul penjadualan First Come First Serve (FCFS) merupakan algoritma penjadwalan sistem operasi yang secara otomatis mengeksekusi permintaan (request by priority) dan proses antrian sesuai urutan kedatangannya (arrival). Algoritma scheduling untuk proses (assembly dan visualisasi) dengan menggunakan CPU OS Simulator, aplikasi ini lebih mudah dioperasikan dan user-friendly bagi pengguna. Dalam algoritma jenis ini, proses yang me-request CPU terlebih dahulu mendapatkan alokasi CPU terlebih dahulu. Proses penjadualan dikelola dengan metode antrian First-In First-Out (FIFO), dalam ruang lingkup sistem operasi dengan fokus penjadualan algoritma FCFS (First Come First Serve). Metode workshop dilaksanakan secara daring menggunakan zoom cloud meeting, dengan peserta dosen yang berminat akan aplikasi tersebut dan para anak didik yang mau mengenal memahami konsep dari sistem operasi. Aplikasi CPU OS simulator merupakan salah satu aplikasi yang bersifat free-ware sehingga dapat di unduh secara gratis bagi para pengguna (dosen dan atau mahasiswa). Hasil akhir dari pelatihan bagi pengguna akan melihat dan mengerti tahapan demi tahapan dari proses intruksi hingga compile yang disajikan bentuk simulasi dan visualisasi (histogram) serta beberapa parameter dari proses tersebut (average waiting time, average burst time, tick count dan instruction count).
Pelatihan Penggunaan Aplikasi Open-Source Dimensions AI Untuk Eksplorasi Data Literasi Reference Manager Budi Tjahjono; Muhamad Hadi Arfian; Lili Hastuti; Hermansyah; Arief Ichwani; Tugiman; Dewi Marini
IKRA-ITH ABDIMAS Vol. 8 No. 2 (2024): Jurnal IKRAITH-ABDIMAS Vol 8 No 2 Juli 2024
Publisher : Universitas Persada Indonesia YAI

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Abstract

Pelatihan ini bertujuan untuk meningkatkan keterampilan eksplorasi data literasi menggunakan aplikasi open-source Dimensions AI, terutama bagi pengguna yang sebelumnya familiar dengan Reference Manager. Pelatihan ini membahas permasalahan umum dalam pengelolaan referensi, seperti keterbatasan fitur pencarian dan analisis data pada Reference Manager, serta kurangnya integrasi dengan sumber data eksternal. Dimensions AI menyediakan sebagai solusi yang menghadirkan fitur pencarian canggih, analisis bibliometrik, dan visualisasi data interaktif. Metodologi pelatihan menekankan pendekatan partisipatif dan berbasis praktik,mencakup tahapan penggunaan Dimensions AI, pencarian dan navigasi literatur ilmiah, serta integrasi dengan Reference Manager. Hasil pelatihan menunjukkan peningkatan keterampilan peserta dalam mengelola dan menganalisis data literasi, serta pemahaman yang lebih baik tentang pemanfaatan Dimensions AI untuk mendukung penelitian. Pelatihan ini memberikan manfaat signifikan bagi peserta, termasuk peningkatan efisiensi waktu pengambilan keputusan yang lebih baik, identifikasi peluang penelitian baru, dan peningkatan produktivitas penelitian secara ter-integrasi.
Risk Management Domain Application Plan Electronic Based Governance System (SPBE) Case Study: Tangerang Government Communications and Informatics Service Ipung Sutejo, Bayu Sulistiyanto; Widodo, Agung Mulyo; Firmansyah, Gerry; Tjahjono, Budi
Jurnal Indonesia Sosial Sains Vol. 4 No. 09 (2023): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v4i09.878

Abstract

Various applications of SPBE have been produced by the Central and Regional Authorities and have contributed to the efficiency and effectiveness of government maintenance. Nevertheless, the results of the SPBE development show a relatively low maturity rate and a high gap between the Central Authority and the Regional Government. Based on the results of the 2018 SPBE evaluation of 616 Central and Regional Government Instances, the National SPBE Index reached a value of 1.98 with a sufficient predicate of the target SPBE index of 2.6 out of 5 levels with a good prediction. Reviewed from the access of Central and Regional Authorities, the average Central Authorities SPBE index was 2.6 with a good predicate, while the average Regional Government SPBE Index was 1.87 with a sufficient Predicate. Reviewed from the target access spread, 13.3% of Central and Regional Authorities have reached or exceeded the target SPBE 2.6 index, while 86.7% have not yet reached the SPBE 2.0 index target. This shows that there are problems in the development of the SPBE nationally. On the other hand, the development of ICT 4.0 trends is a key external factor that can drive the realization of integrated SPBE implementation and improved quality of SPBE services that make it easier for users in accessing government services. The vision is a benchmark in implementing the integrated implementation of SPBE in the Central and Regional Authorities to produce integrative, dynamic, transparent, and innovative government bureaucracy, as well as improving the quality of integrated, effective, responsive, and adaptive public services.
Audit of Information Technology Governance on School Operational Cost Flow in SMKN West Jakarta Using COBIT 2019 Sakron, Narul; Firmansyah, Gerry; Akbar, Habibullah; Tjahjono, Budi
Jurnal Indonesia Sosial Sains Vol. 4 No. 09 (2023): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v4i09.881

Abstract

IT governance is a process that aims to carry out the process of aligning business objectives in an agency in accordance with the business strategy applied to that agency. One sector that is trying to improve IT in improving its governance is the education sector including all SMKNs in West Jakarta. The problem with data management within the West Jakarta Vocational High School is that there is no analysis and research on good and relevant information technology governance in every budget the boss funds issue. This study aims to determine the level of capability and gaps in information technology governance that is currently being implemented, namely the boss fund management information system (Rkas, Arkas, Ready Bop Bos and Headquarters). This study uses analysis based on the 2019 COBIT standard with a focus on the APO12 (Managed Risk) and APO13 (Managed Security) domains to produce a value of capability level that can be used as a reference for analyzing risk management and security management in boss fund management at all West Jakarta Vocational High Schools. The data used in this study came from interviews, questionnaires and direct observation to the research site. The audit results show. APO12 level 2 capability level with a value of 89.29% (Fully Achieved). The capability level of APO12 is level 3 with a value of 77.36% (Largely Achieved) where the capability level of Level 3 APO12 does not reach Fully Achieved so that the capability level of APO12 is at level 3 The capability level of APO13 level 2 with a value of 61.43% (largely Achieved) which does not reach Fully Achieved so The capability level of APO13 is at level 2. The results of this study provide recommendations for aligning the vision, mission, and objectives of boss fund management, so as to improve the function of the boss fund management information system in all SMKN West Jakarta.
Analysis of Time Series Water Level Data Prediction Using Deep Learning Method at the Water Gate of DKI Jakarta Water Resources Office Supriyade, Supriyade; Firmansyah, Gerry; Akbar, Habibullah; Tjahjono, Budi
Jurnal Indonesia Sosial Sains Vol. 4 No. 09 (2023): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v4i09.883

Abstract

Indonesia has 2 seasons, namely the dry season and the rainy season. During the rainy season, many points in the DKI Jakarta area experience flooding or inundation. The reason why Jakarta often experiences flooding is caused by several factors, including local rain floods, shipment floods and tidal floods. The DKI Jakarta Water Resources Agency currently does not have a system that can predict future water levels by referring to past and present water level data. Through this background, the author tries to conduct research in one of the floodgates in the northern area of DKI Jakarta in predicting water levels using deep learning methods , namely Recurrent Neural Network (RNN) and Long Short Term Memory (LSTM). The purpose of this research is to analyze the best deep learning models and predict water level time series data. From the results of the analysis carried out, the best deep learning model is Long Short Term Memory (LSTM) using several tests such as n-input, split data with a composition of 90.33% train data and 9.67% test data , as well as testing of different parameters including epoch, batch size, learning rate, dropout , so the results obtained are the lowest error values with RMSE (17.65), MAPE (0.29), MAE (3.37) and the time needed in the process (runtime) is 39 minutes
Implementation of Vector-Based Melody Extraction for Plagiarism Detection Using Szymkiewicz-Simpson Coefficient Wardhana, Nindyo Artha Dewantara; Widodo, Agung Mulyo; Firmansyah, Gerry; Tjahjono, Budi
Jurnal Indonesia Sosial Sains Vol. 5 No. 04 (2024): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v5i04.1084

Abstract

Plagiarism is topical within the music industry. It is filled with circumstances such as the potential of massive losses coupled with a “false-positive” court ruling due to the blurred line of plagiarism factor. This research aims to solve the gray line of music plagiarism by exploring the potential of the Szymkiewicz-Simpson coefficient toward musical aspects of music. Melody and Rhythm are chosen as the main features to focus on in the research. MIDI files of music involved in court cases are used as data for the study, with limitations put on what cases can be used for the research. Using a threshold range of 0.1 to 0.25, detection accuracies for melodic plagiarism range from 45% to 60%, while rhythm plagiarism ranges from 60 to 65%. This shows that the algorithm of plagiarism detection has a tendency to detect non-plagiarism cases and is more effective towards rhythm plagiarism detection rather than melodic plagiarism detection against existing plagiarism cases.
Rancang Bangun Aplikasi Edukasi Reproduksi Manusia Pada Pelajar SMPN 187 Jakarta Berbasis Android Djunaedi, Bagas; Malabay; Yulhendri; Tjahjono, Budi
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 9 No. 1 (2025): IKRAITH-INFORMATIKA Vol 9 No 1 Maret 2025
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37817/ikraith-informatika.v9i1.4371

Abstract

The implementation of education at SMPN 187 Jakarta is often limited to the use of PPT and RPP,causing the material to become monotonous and less interesting for students. Reproductioneducation is also often not delivered comprehensively, resulting in less than optimal studentunderstanding. To overcome this, an Android-based application was developed which aims toincrease students' understanding of reproductive health. This application provides educationalmaterial covering secondary and primary aspects as well as a test feature to measure studentunderstanding, making learning more effective and interactive. This application uses Flutter as amulti-platformframework andDart as an open source programming languagewithOOPconceptsthat are easy to understand. The application backend is managed with Laravel, functioning asBackendAPImanagement of themobile application.The prototypemethod is used in development,starting from collecting user needs to creating a design/prototype. The results of this research areas an educational application and learning support media for students at SMPN 187 Jakarta bymaking learning media flexible and efficient, with features for characters that help improvestudents' and female students' understanding of educational reproduction.
The Influence of Transformational Leadership and Organizational Culture on Work Productivity Rohidin, Rohidin; Saepudin, Saepudin; Juliana, Juliana; Tjahjono, Budi; Suryahim, Iim
JURNAL AL-TANZIM Vol 8, No 1 (2024)
Publisher : Nurul Jadid University, Probolinggo, East Java, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/al-tanzim.v8i1.6534

Abstract

This research aims to determine and analyze the influence of transformational leadership and organizational culture on the productivity of lecturers at the Laa Roiba Bogor National Islamic Institute. This research uses quantitative research methods with survey techniques to answer the hypothesis tests that have been formulated. Respondents totaled 160 lecturers, and the sampling technique used was random. The transformational leadership, organizational culture, and work productivity questionnaires were validated using the product moment correlation formula; Reliability is measured using the Cronbach Alpha formula, and hypothesis testing uses the PLS-SEM analysis application. The research results show that transformational leadership and organizational culture positively and significantly impact lecturers' work productivity. Transformational leadership also influences organizational culture directly. Therefore, to increase lecturers' work productivity, it is necessary to improve the effectiveness of transformational leadership and organizational culture. The implications of this research highlight the importance of developing transformational leadership and organizational culture as a strategy to increase the work productivity of lecturers at the Laa Roiba Bogor National Islamic Institute.
Co-Authors *, Hairuduin A.A. Ketut Agung Cahyawan W Adhi Fernandes Gamaliel Adhy, Dewanto Rosian Adigunawan, Adigunawan Adilah Widiasti Aep Saepudin Ahmad Fuad Ahmad Mutedi Aji Setiawan Akbar, Habibullah Alami, Tegar Alex Hartana Alexander Alexander, Alexander ALINA AKHDIYA RUSMANA Alivia Yufitri AMARILA MALIK Andi Khaeruni Andi Khaeruni Andriana, Dian Angga VB Annazma Ghazalba Antonius Suwanto Anugerah Cahyo Adhi Ardiansyah, Miri Arfian, Muhamad Hadi Arfian, Muhammad Hadi Arief Ichwani Arif Pami Setiaji Aris Tri Wahyudi Arniansyah, Arniansyah Asniwita Asniwita Aulia, Faujiatul Azzam Robbani, Muhammad Bambang Irawan Basyarewan, Humairoh Bayu Sulistiyanto Ipung Sutejo Binastya Anggara Sekti Budi Aribowo Dadang Hermawan Dafa Rizqi, Herin Daniel Hutajulu Dede Setiadi Dermawan Zebua Dewi Marini Dewi, Riris Septiana Sita Diah Aryani Djunaedi, Bagas Dwi Guntoro Dyah Kusuma Anggraini Edi Kartawijaya EDWARD ENDRIANTO Eliza S. Rusli Erry Yudhya Mulyani Euis Heryati Evans, Richard Faiz Fauzan Muhajir Fatonah, Nenden Siti Febrianto, Haris Fernandes Gamaliel, Adhi Firdaus, M. Dzulfiqar Gerry Firmansyah Gerry Firmasyah Ghazalba, Annazma Gilang, Destian Gunawan, Sholeh Gusti Fachman Pramudi Hadjarati, Panji Ramadhan Yudha Putra HAJRIAL ASWIDINNOOR Haryoto, Iin Sahuri Hendaryatna Hendaryatna Hendry Gunawawan Hermansyah Hermanto, Hermanto Hermawan, Deky Herwanto, Agus Hidayat, Muhamad Rifqi Huda, Nur Huda Hung Fei Imam Sutanto Ipung Sutejo, Bayu Sulistiyanto Irawan, Bambang Irdika Mansur Irsyadul Anam, Reza ISKANDAR ZULKARNAEN SIREGAR Islamy, Muhammad Rafli Ismiyati Meiharsiwi Jabar, Ajib Abdul Jefry Sunupurwa Asri Joniwan Joniwan Judianto Leihitu, Donny Dwy Juliana Juliana Kartini Kartini Kartini Kartini Khairurrahman, Rifqi Kikin H Mutaqin Klaski Putri, Krisanti Kundang Karsono Kundang Karsono Kundang Karsono Juman Kundang Karsono Juman Kusuma, Mahesa Adi Kusumah, Yayi Munara Laksono Trisnantoro Leihitu, Donny Dwy Judianto Lili Hastuti Lisdar Idwan Sudirman Lisdiana Lisdiana Lisdiana Lisdiana Lista Meria Luthfie Aldino Ismail M A Chozin Maemonah, Maemonah Malabay Malabay ., Malabay Malabay Malabay Malabay Malabay Martin Saputra, Martin Marzuki Pilliang Meiharsiwi, Ismiyati Meity S. Sinaga MEITY SURADJI SINAGA Millah, Shofiyul Mita, Vira Muhamad Bahrul Ulum Muhamad Bahrul Ulum Muhamad Hadi Arfian Muhammad Abdullah Hadi Muhammad Abdullah Hadi Muhammad Azzam Robbani Muhammad Bagaskara Muhammad Fajrul Aslim Muhtadi, Yudi Muksin, Andreanata Pradifta Munawar Munawar Munawar, Badri Mutedi, Ahmad Nabila, Efa Ayu Nainggolan, Restamauli br Narul Sakron Nasihin, Anwar Nasution, Tegar Alami Natadirja, Trenggana Nenden Siti Fatomah Nenden Siti Fatonah Nenden Siti Fatonah Niko Prasetyawan Aji Nila Rusiardi Jayanti Nina Nurhasanah Nindyo Artha Dewantara Wardhana Ningsih, Susilowati Nixon Erzed Nixon Erzed Nizirwan Anwar Nugraha, William Nur Widiyasono Nur Widiyasono, Nur Nurjannah Nurjannah Pamungkas, Ryan Tri Prabowo, Ary PURNAMA HIDAYAT Purwano SK Putra, Sipky Jaya Qiqi Asmara, Abdullah Qur'ani, Isti R SITI RUKAYAH Rahaman, Mosiur Rasyid, Ainur Ravie Kurnia Reza Irsyadul Anam Rian Adi Pamungkas Ridwan, Ridwan Rifqi Khairurrahman Riya Widayanti Rizk, Muhamad ROB HARLING Roesfiansjah Rasjidin Roesfiansjah Rasjidin Rohidin Rohidin, Rohidin RR. Ella Evrita Hestiandari Rudi Hermawan Rudi Hermawan Rudy Setiawan RUSMILAH SUSENO Rusnani * Ryan Putra Laksana Sabaruddin, Satria Sabri Alim Saepudin Saepudin Sakron, Narul Samingan Samingan Samuel Samuel SARASWATI, RIA Septian, Ferby Septianto, Dian Fajar Setiawan, Sony Shine Pintor Siolemba Patiro Sholeh Gunawan Siregar, Sarah Veronica Siti Fatomah, Nenden Sri H. Hidayat SRI HENDRASTUTI HIDAYAT Sri Husni Hidayati Suardana, Made Aka Sugeng Santoso Suhendar Suhendar, Suhendar Sularso Budilaksono Sulistyo, Catur Agus Supriyade Supriyade Supriyade, Supriyade Suryahim, Iim Tarigan, Masmur Tarigan, Masmur Tengku Riza Zarzani N Teras, Deni Tugiman Ummanah Ummanah, Ummanah Vivaldi Raditya Putra Wahyu Sabiqudin, Muhammad Wardhana, Nindyo Artha Dewantara Wibowo, Yudha Widiasti, Adilah Widodo, Agung Mulyo Wijaya, Jacob S William Nugraha Wisnu Ananta Kusuma Yessy Oktafriani Yudha Putra Hadjarati, Panji Ramadhan Yulhendri Yulhendri Yuliana Susanti Yuliati - Yunita Fauzia