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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Teknologi Industri Pertanian Jurnal Komunikasi Pembangunan Jurnal Manajemen dan Organisasi Jurnal Manajemen dan Agribisnis Jurnal Pustakawan Indonesia Jurnal Reviu Akuntansi dan Keuangan JPTK: Jurnal Pendidikan Teknologi dan Kejuruan Jurnal Ilmu Komputer dan Informasi Jurnal Manajemen Teknologi Techno.Com: Jurnal Teknologi Informasi TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnal Ilmu Komputer dan Agri-Informatika JAM : Jurnal Aplikasi Manajemen Indonesian Journal of Business and Entrepreneurship (IJBE) SITEKIN: Jurnal Sains, Teknologi dan Industri Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Jurnal Aplikasi Bisnis dan Manajemen (JABM) E-Journal Scientific Journal of Informatics Edulib Jurnal Manajemen Teori dan Terapan Lentera Pustaka Sosio Konsepsia Proceeding of the Electrical Engineering Computer Science and Informatics JOIV : International Journal on Informatics Visualization Jurnal Pendidikan Informatika dan Sains JURNAL SIMETRIK Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Informatika Pertanian Syntax Literate: Jurnal Ilmiah Indonesia Jurnal Penjaminan Mutu Jurnal Gizi dan Pangan Soedirman (JGPS) Communications in Science and Technology Jurnal Informatika Universitas Pamulang Applied Information System and Management Jurnal Teknoinfo JAS-PT Jurnal Analisis Sistem Pendidikan Tinggi Zero : Jurnal Sains, Matematika, dan Terapan CYBERNETICS Petir Informatik : Jurnal Ilmu Komputer Kwangsan: Jurnal Teknologi Pendidikan Jesya (Jurnal Ekonomi dan Ekonomi Syariah) Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Jurnal Sistem Cerdas EDUMATIC: Jurnal Pendidikan Informatika Journal of Information Systems and Informatics Systematics Jurnal MEBIS (Manajemen dan Bisnis) JGISE-Journal of Geospatial Information Science and Engineering Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Indonesian Journal of Electrical Engineering and Computer Science Journal of Applied Data Sciences Business Review and Case Studies International Journal of Engineering, Science and Information Technology International Journal of Social Service and Research Media Publikasi Promosi Kesehatan Indonesia (MPPKI) Jurnal Pustakawan Indonesia Jurnal Ilmiah Ilmu Terapan Universitas Jambi Eduvest - Journal of Universal Studies Jurnal Teknik Indonesia Jurnal Sistem Informasi Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah Jurnal Sistem Informasi dan Aplikasi Journal of Information Technology and its Utilization Biodiversitas Journal of Biological Diversity
Irman Hermadi
School Of Data Science, Mathematics And Informatics, IPB University, Bogor, West Java, Indonesia, 16680
Aerospace Engineering Agriculture, Biological Sciences & Forestry 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 Earth & Planetary Sciences 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 Medicine & Pharmacology Neuroscience Physics Public Health Social Sciences Transportation Other

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Penerapan Evaluasi DeLone dan McLean pada Aplikasi Mobile KMS Sawit Rakyat Ade Hikma Tiana; Irman Hermadi; Yani Nurhardryani
Jurnal Sistem Informasi dan Aplikasi (JSIA) Vol 3 No 1 (2025): Vol 3 No 1 (Jurnal Sistem Informasi dan Aplikasi)
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52958/jsia.v3i1.9743

Abstract

Aplikasi Mobile KMS Sawit Rakyat telah dikembangkan dengan memanfaatkan Knowledge Management System Life Cycle (KMSLC) dan diimplementasikan melalui metode KM-IRIS untuk membantu meningkatkan produktivitas petani sawit di Indonesia. Aplikasi ini memfasilitasi petani dalam berbagi pengetahuan yang dapat digunakan oleh petani lain untuk mengatasi tantangan dalam pengelolaan perkebunan sawit. Untuk memastikan efektivitas implementasinya, diperlukan evaluasi menggunakan model DeLone dan McLean, yang mencakup enam dimensi kesuksesan: kualitas sistem, kualitas informasi, kualitas layanan, penggunaan, kepuasan pengguna, dan dampak bersih. Penelitian ini bertujuan untuk mengevaluasi Aplikasi Mobile KMS Sawit Rakyat di Desa Padang Leban, Kabupaten Kaur, Provinsi Bengkulu, dengan pendekatan Participatory Rural Appraisal (PRA). Tujuan utamanya adalah agar aplikasi ini dapat diterima dan diadopsi oleh petani, sehingga manfaat yang ditawarkan dapat dioptimalkan. Hasil penelitian menunjukkan bahwa dari sembilan hipotesis yang diajukan, hanya tiga yang terbukti signifikan: kualitas sistem dan kualitas informasi memiliki pengaruh positif terhadap penggunaan, serta kepuasan pengguna berpengaruh positif terhadap dampak bersih. Kesimpulannya, meskipun model DeLone dan McLean tidak sepenuhnya dapat diterapkan untuk menilai keberhasilan aplikasi ini, dimensi-dimensi yang signifikan tetap menunjukkan bahwa aplikasi ini memiliki potensi untuk meningkatkan kinerja petani sawit rakyat.
Challenges of Implementing Knowledge Management System Agribusiness for Aglaonema Farmers Yuni Sugiarti; Arif Imam Suroso; Irman Hermadi; Euis Sunarti; Fadhilah Bt Mat Yamin
Applied Information System and Management (AISM) Vol. 8 No. 1 (2025): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v8i1.44074

Abstract

Aglaonema plants have become an important element in people's lives, serving as home decorations and sources of income. Aglaonema cultivation is increasingly popular, opening up business opportunities for farmers. This plant is not just a hobby but a horticultural commodity with high economic value. This research aims to analyze the difficulties faced by Aglaonema farmers, from seedling to marketing. This research uses a constructivist paradigm and qualitative methods, involving 20 informants from among farmers, traders, buyers, extension workers, and farmer organizations. Data were collected through interviews, focus group discussions, and observations, with triangulation to validate the information. Data analysis was conducted using the NVivo application. The research results show that the main difficulties faced by Aglaonema farmers include unpredictable price fluctuations, limited varieties, weak communication among farmers, traditional seedling methods, and a lack of information about seed supply. These findings emphasize the need for information sharing between farmers and stakeholders to improve productivity and quality in agribusiness, in line with consumer demands and technological advancements, which can be implemented through a knowledge management system platform in the Aglaonema agribusiness supply chain.
Design of a New Student Registration Information System Based on a Website Using the Agile Method Zatin Niqotaini; Arafat Febriandirza; Esa Prakasa; Irman Hermadi
Informatik : Jurnal Ilmu Komputer Vol 22 No 2 (2026): August 2026
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52958/iftk.v22i2.14007

Abstract

The application of information technology has proven to simplify administrative processes in education, including student enrollment. Currently, TK Islam Perkasa still relies on manual enrollment methods, involving paper-based forms, data verification, and document storage. This process often leads to various issues, such as document duplication, input errors, and inefficiencies in data retrieval and management. To address these challenges, a web-based enrollment information system integrated with a database has been designed. The system is developed using the Agile methodology, which allows for iterative and collaborative software development, ensuring user requirements are better accommodated. The PIECES analysis is employed to identify problems and propose solutions in terms of performance, information, economics, control, efficiency, and service aspects. The system is built using the Laravel framework and PHP programming language, with PostgreSQL as the database to support fast and accurate data management. This system enables online enrollment, saving time and effort for both prospective students and school administrators. Key features include digital form submission, automated data verification, and well-organized data storage and retrieval. The implementation of this system is expected to enhance administrative efficiency, reduce errors, and provide a better user experience. Therefore, this system serves as an innovative solution to support digital transformation in the education sector
Temporal Healthcare Data Warehouse with SCD Type 2 for OLAPBased Executive Information Systems: A Galaxy Schema Approach Muhammad Mukhlis Khoirudin; Irman Hermadi; Hari Agung Adrianto
Journal of Information System and Informatics Vol 8 No 4 (2026): August
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i4.1651

Abstract

Modern hospital information systems operate within fragmented and heterogeneous OLTP environments designed for transaction recording rather than strategic analytical workloads. This study designs and implements a temporal healthcare Data Warehouse for OLAP analytics supporting historical data consistency and multidimensional performance monitoring aligned with Indonesian Ministry of Health (Kemenkes RI) standards. The Kimball bottom-up methodology was applied to integrate two heterogeneous OLTP sources into a Galaxy Schema comprising two fact tables and seventeen dimension tables. The ETL pipeline was implemented using SSIS with a complete SCD Type 2 workflow preserving full patient dimension history across ward transfers and physician reassignments. The OLAP layer was constructed using SSAS Tabular with VertiPaq in-memory engine and DAX-based measures, visualized through a Power BI Executive Information System dashboard. Empirical validation using 52,321 discharged patient records over a one-year observation period demonstrated an average OLAP Speedup Ratio of 30.27× over equivalent relational SQL queries across ten benchmark runs, ranging from 2.98× (Slice) to 79.18× (Dice), with all response times below 40 ms and 100% computational accuracy across all six Kemenkes RI KPIs. The novelty lies in integrating a complete SCD Type 2 temporal model within a Galaxy Schema healthcare data warehouse, empirically validated against live heterogeneous hospital data and nationally aligned KPI standards.
An AI-Assisted Knowledge Management System Prototype for Fisheries Extension Officers: A Usability Evaluation Dani Saepuloh; Irman Hermadi; Yani Nurhadryani
Journal of Information System and Informatics Vol 8 No 4 (2026): August
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i4.1817

Abstract

Fisheries extension officers accumulate tacit knowledge that is rarely documented and at risk of loss as senior officers retire, while existing systems lack structured capture and motivation mechanisms. This study develops and evaluates a Knowledge Management System (KMS) prototype integrating AI-guided narrative acquisition, knowledge mapping, and gamification to support tacit-knowledge externalization. Using PHP, MySQL, and Google Gemini 1.5 Flash, spoken field narratives are structured via the STAR framework under human review, visualized through a weighted expertise graph, and reinforced through a Self-Determination-Theory-based motivational mechanism. Ten fisheries extension officers (five senior, five junior) evaluated the prototype through scenario-based testing, the System Usability Scale, and interviews. Functional black-box testing confirmed that all six core scenarios (authentication, voice-based STAR extraction, moderation, knowledge mapping, gamification, and messaging) executed correctly (6/6, 100% pass rate), and the prototype achieved a mean SUS score of 83.5 (excellent), with qualitative findings indicating reduced perceived documentation burden and increased motivation, alongside dialect-recognition and internet-dependency limitations. This integrated prototype architecture demonstrates preliminary perceived effectiveness rather than validated organizational impact, given the small sample and short-term evaluation.
Time Series Forecasting of Environmental Dynamics in Urban Ecotourism Forest Using Deep Learning Ade Rahmat Iskandar; Arif Imam Suroso; Irman Hermadi; Lilik Budi Prasetyo
Journal of Applied Data Sciences Vol 7, No 1: January 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i1.1029

Abstract

Time Series Forecasting of Environmental Dynamics in urban forests is quite challenging, unless new approaches such as deep learning and remote sensing are employed. Deep learning-based time series algorithms offer robust scientific capabilities for forecasting and assessing sustainability trends using sequential data. Among these, Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and Bidirectional LSTM (BiLSTM) have gained widespread adoption across various predictive modeling domains. In the present research, these algorithms are employed to analyze urban forest raster data derived from the Srengseng Ecotourism Forest, located in West Jakarta, Indonesia. The present study focuses on predicting the temporal patterns of key spatial indicators: Normalized Difference Vegetation Index (NDVI), Land Surface Temperature (LST), and Forest Cover Density (FCD) in the Srengseng urban ecotourism forest area, spanning the years 2014 to 2024, through the application of LSTM, GRU, and BiLSTM deep learning architectures. The methodology used in this study is a combined approach involving remote sensing and deep learning. Spatial data were acquired through the delineation of a high-precision polygon of Srengseng Urban Forest using Google Earth Pro and Google Earth Engine (GEE). GeoTIFF datasets of NDVI, LST, and FCD for the years 2014–2024 were processed using Python-based modeling scripts. Model performance was evaluated through a comparative analysis of LSTM, GRU, and BiLSTM in predicting temporal trends in these ecological indicators. The results of this study show that the Bidirectional LSTM (BiLSTM) consistently demonstrated superior performance to predict all the data spatially, with scores of 0.94 for NDVI, 0.90 for FCD, and 0.85 for LST. Followed by LSTM that predicts NDVI (0.87), FCD (0.89), LST (0.83), as well as GRU, which can estimate spatial data NDVI (0.86), FCD (0.89), and LST (0.85). These results outperformed the predictive accuracy of both the standard LSTM and GRU models.
Comparative Study on the Implementation of Knowledge Management Systems for Aglaonema Farmers: A Structured Method and UML Object Approach Yuni Sugiarti; Arif Imam Suroso; Irman Hermadi; Euis Sunarti
International Journal of Engineering, Science and Information Technology Vol 5, No 3 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i3.953

Abstract

Aglaonema farming holds significant economic potential, but challenges in knowledge management often hinder farmers' productivity. Knowledge Management Systems (KMS) provide effective solutions for managing knowledge efficiently. This study aims to conduct a comparative analysis of KMS implementation for aglaonema farmers using a structured method and an object-oriented method with the Unified Modeling Language (UML). The research methodology includes identifying farmers' needs, developing systems using both approaches, conducting functionality testing, and performing a comparative analysis based on effectiveness, efficiency, and ease of use. The study's results indicate that the object-oriented approach with UML offers greater flexibility in development and adaptation to changing user needs. At the same time, the structured method provides stability within a well-defined system. User evaluations reveal a preference for UML-based systems, particularly in supporting dynamic knowledge access and integrating market price prediction features. The study concludes that the object-oriented approach with UML is more suitable for KMS development in agribusiness, where an adaptive and responsive system is essential.
Overcoming DES Key-Length Limitations: A Novel Approach to Position Conversion and 128-Bit Key Encryption Mochammad Imam Sulistyo Sarjowo; Sugi Guritman; Eng Heru Sukoco; Irman Hermadi
Jurnal Teknik Indonesia Vol. 5 No. 3 (2026): Jurnal Teknik Indonesia
Publisher : Publica Scientific Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58860/jti.v5i3.925

Abstract

The Data Encryption Standard (DES) is an algorithm designed to protect information by converting it from a readable form, known as plaintext, into an unreadable form, known as ciphertext. This process is called encryption, whereas the reverse process, which translates ciphertext back into plaintext, is referred to as decryption. The primary weakness of DES lies in its relatively short key length, which allows all possible keys to be exhaustively tested in a relatively short time. This research aims to address that weakness by designing a derivative of the DES algorithm with a key length exceeding 64 bits. The findings of this study indicate that the position conversion table within DES plays the most critical role in determining the key length that the algorithm can process. Consequently, this research focuses on developing a pattern for position conversion labeling, with the expectation that it can be utilized to construct a new position conversion table capable of handling keys longer than 64 bits. The final result of this study is the development of a new DES-derived algorithm with a 128-bit key, named DES-Aku. However, DES-Aku is not merely a derivative of DES; it also serves as a protocol for constructing position conversion labels within DES. As an algorithm, DES-Aku successfully performs character encryption using a 128-bit key, and as a protocol, DES-Aku successfully demonstrates a pattern for constructing position conversion tables in DES, which can further be utilized to develop new position conversion tables for keys exceeding 128 bits.
Strategy and Motivation of Institutional Research Data Management: Integration of SWOT Analysis and Convergence Matrix Fitroh Fitroh; Irman Hermadi; Kudang Boro Seminar; Rina Trisminingsih
Applied Information System and Management (AISM) Vol. 9 No. 2 (2026): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v9i2.52787

Abstract

Research data management (RDM) in institutional repositories requires alignment between stakeholder needs, organizational conditions, and technical readiness for the findable, accessible, interoperable, and reusable (FAIR) principles. This study developed and applied an integrated institutional RDM evaluation framework combining needs analysis, SWOT analysis, and the GO FAIR Convergence Matrix. Design science research guided the framework development. Data were collected through a purposive survey of 105 stakeholders, expert interviews, repository observations, and independent FAIR ratings by two expert evaluators. The survey showed that 86.7% of respondents selected the two highest response categories for easy repository data access and use, while 87.6% did so for improving the current data management system. SWOT analysis identified institutional commitment as the principal strength (89.5%), additional RDM training as the leading weakness-related need (65.7%), emerging-technology adoption as the principal opportunity (81.0%), and government policy changes as the leading threat (73.3%). The FAIR assessment revealed a substantial gap between articles and datasets. Articles achieved normalized scores of 100.0% for Findable, 100.0% for Accessible, 62.5% for Interoperable, and 45.8% for Reusable, whereas datasets achieved 3.1% for Findable and 0.0% for the other domains. The study contributes an integrated framework that connects stakeholder priorities, organizational SWOT factors, and indicator-level FAIR evidence to support phased, evidence-based institutional RDM interventions.
Design and Evaluation of a Route-Aware, Evidence-Grounded RAG Chatbot for Accessing Village Monographs and Census Data within Data Desa Presisi Ikhlasul Amal; Irman Hermadi; Yani Nurhadryani
Journal of Information System and Informatics Vol 8 No 5 (2026): October
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i5.1856

Abstract

Data Desa Presisi integrates narrative village monographs and structured census records, creating challenges for contextual, numerical, and cross-source information access. This study designed and evaluated a locally deployed, route-aware, evidence-grounded retrieval-augmented generation (RAG) chatbot that combines deterministic DuckDB queries, document retrieval, provenance, and privacy-aware routing. Evaluation used 100 ground-truth questions from Setu and Gunung Putri. Eighty-four database, monograph, and mixed-evidence questions were assessed using RAGAS and ROUGE-L, whereas 16 conversational and policy questions were evaluated through deterministic checks. Elasticsearch at a temperature of 0.1 produced the highest composite score (0.592018), although post hoc Wilcoxon tests found no statistically significant superiority over alternative configurations. The selected configuration achieved a 98.0% functional pass rate and a 97.92% numeric-match rate. Public-mode usability evaluation involving 21 village officials and staff yielded 96.03% effectiveness. Scalability testing covered pipeline construction and retrieval across 30 census inputs and 28 monographs, but did not assess concurrent users or full end-to-end production workloads. These findings provide preliminary evidence that route-aware RAG can improve transparent, evidence-grounded access to heterogeneous village data while preserving deterministic handling of numerical queries and privacy-sensitive information.
Co-Authors A.Muh.Yakin Amin Abdul Mufti Ade Hikma Tiana Ade Rahmat Iskandar Agus Ambarwari Agus Buono Agus Mulyana Agustian, Fajar Ahmad, Hafidlotul Fatimah Ahmad, Tarmizi Aji Fajar Nugraha Alfiansyah Halomoan Siregar Alfy Sukma Alvian Abdul Jabar Amalia Rahmawati Anak Agung Gede Sugianthara Anak Agung Istri Sri Wiadnyani Andi Irman Patiroi Anggraini Sukmawati Annisa Rizkiriani Annisa Saraswati Aprilianti, Dhila Arafat Febriandirza Arief Daryanto Arief Samad Arif Imam Suroso Arif Imam Suroso Aristi Imka Apniasari Aritonang, Melva Linda Arkeman, Yandra Astuti, Indah Puji Aulia Rahman Nasution Auzi Asfarian Aziz Kustiyo Barlianto, Agus Bayu Dewantoro Budhi Hascaryo Iskandar Cahyandaru, Paulus Chandra, Mohamad Citra, Suryati Oka Dani Saepuloh Daniel RO Monintja DHANA DHIRA Dodik Briawan Dyah Umiyarni Purnamasari Eddy Prasetyo Nugroho Elfrida Ratnawati Eneng Tita Tosida Eng Heru Sukoco Erizal Erliza Hambali Erus Effendi Erydhani, Gama Batara Esa Prakasa Euis Sunarti Euis Sunarti Euis Sunarti Fadhilah Bt Mat Yamin Fajar Agustian Fajar Delli Wihartiko Faqih Udin dan Jono M. Munandar Meivita Amelia Fatimah, Hilmi Azmi Faza Adhzima Feriadi Feriadi, Feriadi Firman Ardiansyah Fitroh Fitroh Guritno, Hanif Bagus Hadi Riyadi Hani Zulfia Zahro Hardhienata, Medria Hardhienata, Medria Kusuma Dewi Hari Agung Adrianto Hari Ryanto Wiyono Hasan Firdaus Hasanah , Nur Hatmoko, Bondan Dwi Heliza Rahmania Hatta, Heliza Rahmania Hendro Sasongko Heru Sukoco HUSNUL KHOTIMAH I Gusti Ngurah Antaryama Ibrahim, Firmansyah Ichwan Subekti Ikeu Tanziha Ikhlasul Amal Illah Sailah Imaduddin, Iqbal Imam Ahmad Imam W Sukoco Imas Sukaesih Sitanggang Indah Pratiwi Indah Puji Astuti Indah Yuliasih Indra Jaya Indra Kusuma Budiyanto , Firgiawan Indrajani Sutedja Intan Purnamasari Irfan Syauqi B. Irma Rosalina Irwansyah Saputra Irzal Effendi Iskandar, Teddy Ivanovich Agusta Jaman, Jajam Haerul Joko Ratono Joko Ratono Kahfi Heryandi Suradiradja Karlisa Priandana Kesuma, I Nyoman Rai Widartha Kikin H Mutaqin Kudang Boro Seminar Kudang Boro Seminar Lilik Budi Prasetyo Lilik Kustiyah Lufebrina Dorma Uli Manalu Luki Abdullah M. Syamsul Maarif M. Syamsul Ma’arif Maman Turjaman Marulitua, Michael Yakub Meidhianto Usman Meidhianto Usman Meuthia Rachmaniah Meuthia Rachmaniah Mochammad Imam Sulistyo Sarjowo Mohammad Mukhayadi Muhamad Ramdani, Risma Muhamad Syukur Muhammad Hadi Pranowo Muhammad Mukhlis Khoirudin Mukhlis Mukhlis Mulyono, Pudji Mustakim Mustakim Mustakim Mustakim Nadia Nur Soraya Nasution, Efrida Yanti Nia Kurniati Nimmi Zulbainarni Niqotaini, Zatin Noorlela Marcheta Novi Murdiyanti Nugraha Edhi Suyatma Nugroho, Arga Agung Nupin, Iswadi Syahrial Nur Arifin Akbar Nuryantika, Fitria Pradana, I Gusti Made Teddy Prasetyo Nugroho, Eddy Prayughi, Pungki Primasari, Angela Pudji Muljono Puput Irfansyah Putri Yuli Utami Qadhli Jafar Adrian R. Dikky Indrawan R. Rifa Herdian Raden Asri Ramadhina Fitriani Ramadhan, Dean Apriana Ramadhan, Jeri Rein Suadamara Rillya Arundaa Rina Trisminingsih Rinova Budiman Riyanto Rizal Broer Bahaweres Robi Priyadi RR. Ella Evrita Hestiandari Rudi Afnan Safuan Safuan Santi Santika Santi Santika, Santi Saputra, Irwansyah Sari, Dewi Intan Sarwititi Sarwoprasodjo Septianto, Yudhi Setyadi, Wawan Shelvie Nidya Neyman Sitanggang, Imas S. Siti Zubaidah Soewarto Hardhienata Sony Hartono Wijaya Sri Nurdiati Sri Wahjuni Subhan Deni Hermawan Sugi Guritman Sukarna Sukarna Suradiradja, Kahfi Heryandi Susy Katarina Sianturi Susy Katarina Sianturi Sutedja, Indrajani Suwanto Sanjaya Suyus Windayana Sylvia Taufik Djatna Teddy Iskandar Tendy Arya Pranata Thoyyibah Tanjung Tiana, Ade Hikma Tiurma Lumban Gaol Toto Haryanto Ufan Alfianto Ujang Sumarwan Usmany, Rendy Vidy Nalendra Wahjuni, Sri Widiatmaka Widiatmaka Wisnu Ananta K. Wisnu Ananta Kusuma WULANDARI WULANDARI Yamin, Fadhilah Bt Mat Yandra Arkeman Yani Nurhadryani Yani Nurhardryani Yanto Hermawan Yessy Yanitasari Yudhi Trisna Atmajaya Yuni Sugiarti Yuni Sugiarti Yuni Sugiarti Yuni Sugiarti, Yuni Yusmar, Addini Yusra Fernando Zenal Asikin