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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) Journal of Consumer Sciences 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 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 Jurnal Pustakawan Indonesia Jurnal Ilmiah Ilmu Terapan Universitas Jambi Eduvest - Journal of Universal Studies Jurnal Sistem Informasi Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah Jurnal Sistem Informasi dan Aplikasi Journal of Information Technology and its Utilization
Irman Hermadi
Computer Science Study Program, IPB University, IPB Darmaga Campus, Bogor, 16680, Indonesia
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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Strategi Transformasi Digital Pengembangan Bisnis di PT Gemilang Indonesia Sukses Mulia Andi Irman Patiroi; Nimmi Zulbainarni; Irman Hermadi
Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah Vol. 6 No. 8 (2024): Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/alkharaj.v6i8.2298

Abstract

Digital transformation has become an urgent need for organizations that want to remain relevant and competitive in today's digital era. However, in the face of the wide choice of business development strategies available, decision making can become complicated. Therefore, this thesis proposes a systematic and structured approach using the Analytical Hierarchy Process (AHP) method to identify and evaluate the most appropriate business development strategies in the context of digital transformation. This research integrates qualitative and quantitative approaches by utilizing a comprehensive literature review and in-depth AHP analysis. Thus, this thesis not only understands the key factors influencing the success of digital transformation, but also offers a clear framework for measuring and prioritizing alternative strategies. Through the AHP application, various criteria and sub-criteria relevant to digital transformation are identified and ranked according to their importance. The results of this evaluation then provide more focused guidance in selecting business development strategies that can optimize the use of digital technology, minimize risks and achieve long-term business goals. Thus, this thesis not only makes a theoretical contribution to the understanding of digital transformation, but also makes a practical contribution by providing a methodology that can be applied by business leaders and decision makers in guiding business development strategies in this digital era.
Internet of things-drone trajectory planning model with edge computing based on long range payload in rural areas Prasetyo Nugroho, Eddy; Djatna, Taufik; Sukaesih Sitanggang, Imas; Hermadi, Irman
Bulletin of Electrical Engineering and Informatics Vol 14, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i2.8776

Abstract

The integration of internet of things (IoT) with unmanned aerial vehicle (UAV) or drone, for precision agriculture (PA) in rural tea plantations is required to ensure optimal outcomes. However, rural settings presents exceptional challenges for data transmission, particularly in maintaining effective communication between drone and ground control stations (GCS). Therefore, this research aimed to develop a payload metadata identification model using long range (LoRa) technology, known for robust IoT capabilities of the model. LoRa was used to transmit drone data packets to GCS, including image data computations and onboard sensor information. Additionally, the research proposed IoT-drone trajectory planning model, specifically designed for PA in rural tea plantations. This model incorporated LoRa technology for data transmission, leveraging the effectiveness of the model in remote areas. Edge computing was also integrated into model to classify the suitability of tea plantation picking areas based on image captured with drone. An important component of the research was trajectory planning system, which optimized drone flight paths by considering location data, throughput data, battery energy consumption, and the computation of suitable picking locations. Finally, experimental results showed the effectiveness of the proposed model in identifying payload metadata, monitoring drone trajectory, and optimizing picking location paths in rural tea plantations.
EFFORT ESTIMATION MODELING OF E-GOVERNMENT APPLICATION DEVELOPMENT USING FUNCTION POINTS BASED ON TOR AND SRS DOCUMENT Noorlela Marcheta; Irman Hermadi; Yani Nurhadryani
Journal of Information Technology and Its Utilization Vol 3 No 1 (2020)
Publisher : Sekolah Tinggi Multi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jitu.3.1.2839

Abstract

Software cost estimation is important for information systems management and is generally taught in software engineering courses especially to terms of the ever-increasing development of E-Government. A significant challenge for Software Sizing (SS) is to determine cost estimates based on TOR documents that do not yet contain complete Software Requirements Specifications (SRS). This study uses Function Points as one of the measurement methods that can make cost estimates and expert needs based on the desired functional system. On the other hand, there are cases where estimation needs after the SRS document have been made. Thus in this study, the authors discuss the implementation of SS based on TOR and SRS documents for E-Government. The results of this study indicate the closeness of the actual and estimated values of 81.9% for TOR and 93.4% for SRS.
PENGEMBANGAN CHATBOT PENGADUAN DAN TROUBLESHOOTING TEKNOLOGI INFORMASI DENGAN PENDEKATAN NLP (Studi Kasus: POLITEKNIK NEGERI AMBON) Usmany, Rendy; Hermadi, Irman; Nurdiati, Sri
JURNAL SIMETRIK Vol 12 No 2 (2022): Jurnal Simetrik (Sipil, Mesin, Listrik)
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat (P3M) Politeknik Negeri Ambon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31959/js.v12i2.1028

Abstract

Penelitian ini merancang dan membangun sistem chatbot pengaduan dan troubleshooting sebagai media pelaporan pengaduan pengguna peralatan laboratorium komputer pada Politeknik Negeri Ambon dengan tujuan meningkatkan efektivitas dan efisiensi dalam permintaan pelayanan informasi. Tools yang digunakan adalah dialogflow yang menerapkan metode NLP. Chatbot menampung informasi penanganan permasalahan dan laporan kerusakan terhadapa peralatan laboratorium komputer. Rancangan percakapan chatbot menggunakan aplikasi line yang integrations dengan dialogflow. Pengujian yang dilakukan menggunakan blackbox testing, chatbot mampu memberikan respon dengan tepat tiap test case sejumlah 12 dari 12 permintaan yang dimasukkan dan dapat merespons sesuai pengetahuan, meskipun pengguna melakukan input dengan pola acak ataupun terdapat typo, chatbot masih mampu untuk memberikan respon yang sesuai dengan intents. Sedangkan nilai evaluasi usability yaitu US sebesar 6.58, EU sebesar 6.47, EL sebesar 6.48, dan SC sebesar 6.55. Nilai evaluasi usability menunjukkan responden sangat setuju bahwa dengan chatbot ini mampu menjadi penyedia layanan informasi pengaduan dan troubleshooting pada laboratorium komputer yang efektif dan efisien.
Dynamic optimization using long short-term memory and genetic algorithms for predicting marine data Mukhlis Mukhlis; Indra Jaya; Sri Nurdiati; Karlisa Priandana; Irman Hermadi
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 3: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i3.pp2826-2837

Abstract

This study aims to develop an accurate and efficient ocean data prediction model to tackle the challenges posed by climate change and complex oceanographic dynamics. The main goal is to use long short-term memory (LSTM) networks along with genetic algorithms (GA) to predict four key ocean factors at once: sea surface temperature (SST), sea surface height (SSH), sea surface salinity (SSS), and chlorophyll-a (Chl-a). An experimental quantitative approach is employed, utilizing satellite data from the Banda Sea region. This approach involves time series modeling using LSTM, which is optimized by GA for hyperparameters such as the number of neurons and batch size. The results show that the combined LSTM-GA model greatly improves prediction accuracy and successfully identifies seasonal trends and irregular changes in all variables, even when there is a lot of noise. Tests reveal that the optimal configuration varies for each variable, and the GA optimization process can expedite model convergence by as little as 10 epochs. These findings underscore the effectiveness of integrating evolutionary techniques in training deep learning (DL) models for ocean data. The implications of this research include potential applications in adaptive ocean monitoring systems, early warning initiatives, and data-driven planning in marine resource management.
A Conceptual Consortium Blockchain Model to Enhance Integrity and Auditability in Indonesia’s Election Result Recapitulation Muhammad Hadi Pranowo; Yani Nurhadryani; Irman Hermadi
ZERO: Jurnal Sains, Matematika dan Terapan Vol 10, No 1 (2026): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v10i1.27710

Abstract

Election results recapitulation requires stakeholder participation, data integrity, and auditability. However, electronic systems remain largely centralized and provide limited support for multi-stakeholder involvement, traceable audit trails, and verifiable record integrity. This study formalizes the recapitulation process as a rule-based state-transition model and proposes a consortium Blockchain architecture as a parallel recapitulation channel. Built on Hyperledger Fabric, the network comprises peer nodes representing election officials, supervisors, and witnesses, and is governed by smart contracts with policy-driven endorsement. The model encodes stakeholder roles, cryptographic document binding through IPFS content identifiers and hash verification, and rule-based state validation, with emphasis on arithmetic consistency and plenary time-window constraints. The artifact is evaluated through regulatory compliance mapping and computational testing. The results show that the model enables multiparty verification, preserves auditable transaction history, and maintains verifiable linkage between recapitulation records and supporting documents, while constraining accepted state transitions to defined arithmetic and procedural rules.
Conceptual Design of a Permissioned Blockchain-Based Asset Management System in Higher Education using Hyperledger Fabric Ichwan Subekti; Irman Hermadi; Yani Nurhadryani
Journal of Information System and Informatics Vol 8 No 3 (2026): June
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i3.1618

Abstract

Effective asset management is a fundamental pillar of higher education operations and strategic sustainability. However, existing conventional systems are often hampered by systemic challenges, including operational inefficiencies, lack of transparency, and chronic data integrity issues resulting from fragmented information silos. This study proposes a conceptual design for a higher education asset management system utilizing blockchain technology to address these governance weaknesses. Based on a comprehensive literature review and system architecture modeling, this study synthesizes concepts from asset management, blockchain principles, and enterprise platforms without deploying a functional prototype. The proposed conceptual framework is built on a permissioned blockchain platform, specifically Hyperledger Fabric, and adopts a multi-layered system architecture for modularity. To balance data integrity with storage efficiency, the system conceptually applies a hybrid data storage pattern combining on-chain ledger records and off-chain databases. Furthermore, the business logic is modeled into smart contracts (chaincode) to automate and secure all stages of the asset lifecycle, from procurement to disposal. The study proposes a theoretical blueprint designed to provide a single, immutable source of truth and enforce multi-level digital approvals. The impact of this research offers a conceptual architectural blueprint that aims to shift academic asset management from a reactive administrative task to an automated, transparent governance ecosystem, paving the way for future validation tasks including performance, scalability, usability, and organizational feasibility.
Government Resource Planning-Based Transformation Strategy for Budget Planning System in Planning Division Directorate General of Sea Transportation Hari Ryanto Wiyono; Dikky Indrawan; Irman Hermadi
Eduvest - Journal of Universal Studies Vol. 5 No. 12 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i12.51843

Abstract

The fragmentation of planning and budgeting systems in government institutions poses significant challenges to operational efficiency and strategic decision-making. This research develops a comprehensive transformation strategy for the budget planning system at the Directorate General of Sea Transportation, Ministry of Transportation, Indonesia. Using As-Is Analysis and Soft System Methodology (SSM), the study examines current system conditions and identifies transformation requirements. The analysis reveals critical challenges including the operation of three separate systems (E-Planning, KRISNA, and SAKTI) without integration protocols, dominance of manual processes in budget calculations for 302 work units, and absence of standardized digital infrastructure. Through SSM implementation, two conceptual models were developed addressing digital transformation and system integration requirements. Gap analysis between conceptual models and reality identified deficiencies across six dimensions: stakeholder engagement, system architecture, performance management, technical design, implementation strategy, and risk management. The research proposes Government Resource Planning (GRP) implementation through four integrated strategies: developing integrated system architecture with modular design principles, implementing organizational change management addressing human and institutional factors, establishing interoperability protocols for seamless data exchange, and creating comprehensive evaluation and risk mitigation frameworks. A phased implementation roadmap spanning 18 months provides a pragmatic approach to transformation. This research contributes to digital government literature by demonstrating the effectiveness of combining As-Is Analysis with SSM in addressing complex socio-technical challenges, while offering practical frameworks for government agencies pursuing similar transformations. The findings have significant implications for Indonesia's digital government initiatives and public sector modernization efforts.
Plant species identification based on leaf venation features using SVM Agus Ambarwari; Qadhli Jafar Adrian; Yeni Herdiyeni; Irman Hermadi
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 2: April 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i2.14062

Abstract

The purpose of this study is to identify plant species using leaf venation features. Leaf venation features were obtained through the extraction of leaf venation features. The leaf image segmentation was performed to obtain the binary image of the leaf venation which is then determined the branching point and ending point. From these points, the extraction of leaf venation feature was performed by calculating the value of straightness, a different angle, length ratio, scale projection, skeleton length, number of segments, total skeleton length, number of branching points and number of ending points. So that from the extraction of leaf venation features 19 features were obtained. Identification of plant species was carried out using Support Vector Machine (SVM) with RBF kernel. The learning model was built using 75% of the training data. The testing results using 25% of the data on the training model, obtained an accuracy of 82.67%, with an average of precision of 84% and recall of 83%. 
Leadership Communication and Implications For Acceptance of The Go-Biz Application By MSMEs Employees (Case Study: Bogor District) Nadia Nur Soraya; Sarwititi Sarwoprasodjo; Irman Hermadi
Jurnal Aplikasi Bisnis dan Manajemen Vol. 10 No. 2 (2024): JABM, Vol. 10 No. 2, May 2024
Publisher : School of Business, Bogor Agricultural University (SB-IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17358/jabm.10.2.423

Abstract

Background: Leaders of micro, small, and medium enterprises (MSMEs) have a role in the continuity of a business. Purpose: This research aims to examine the influence of leadership communication on the acceptance of the Go-Biz application by MSME employees in Bogor Regency. Design/methodology/approach: Research on acceptance of the Go-Biz application by MSME employees in Bogor Regency uses the Technology Acceptance Model theory modified by the Motivating Language Theory. This type of research is quantitative, using primary data. Research data was collected through structured interviews using questionnaires and direct field observations. The sampling technique is accidental sampling. The research population is 100 MSME employees who use the GoBiz application and are located in the Bogor Regency area. Inferential data analysis used PLS SEM 3 analysis.Findings/Result: The research results showed that the influence of leadership communication on the acceptance of Bogor Regency MSME employees in the Go-Biz application consisted of language giving direction, language making meaning, perception of usefulness, perception of ease, attitude of use, and actual use. Direction-giving language, namely explaining the benefits of the application, application instructions, and information on the achievements obtained, and meaning-making language consisting of telling the importance of the application and suggestions for use, are factors that influence the acceptance of the Go -Biz application by Bogor district MSME employees.Conclusion: Effective leadership in communication will help articulate the MSME vision and strategy regarding the development and implementation of application technology. This helps the entire team understand the direction the MSME is taking in terms of technology. Additionally, strong leadership through communication can motivate teams to accept new technologies and actively contribute to their development or use.Originality/value (State of the art): There has been no research that examines the influence of the three motivational languages (motivating language theory) that leaders can use to communicate more effectively in the workplace regrading employee acceptance of an application using the Technology Acceptance Model (TAM) theory. Keywords: leadership communication, motivational language theory, technology acceptance model, MSMEs (Micro, Small, and Medium Enterprises)
Co-Authors A.Muh.Yakin Amin Abdul Mufti 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 Saraswati Aprilianti, Dhila 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 Auzi Asfarian Aziz Kustiyo Barlianto, Agus Bayu Dewantoro Budhi Hascaryo Iskandar Cahyandaru, Paulus Chandra, Mohamad Citra, Suryati Oka Daniel RO Monintja Dean Apriana Ramadhan Dikky Indrawan Dodik Briawan Dyah Umiyarni Purnamasari Eddy Prasetyo Nugroho Elfrida Ratnawati Eneng Tita Tosida Erizal , Erliza Hambali Erus Effendi Erydhani, Gama Batara Euis Sunarti Euis Sunarti Fajar Agustian Fajar Delli Wihartiko Faqih Udin dan Jono M. Munandar Meivita Amelia Fatimah, Hilmi Azmi Faza Adhzima Feriadi Feriadi, Feriadi Firman Ardiansyah Guritno, Hanif Bagus Hani Zulfia Zahro Hardhienata, Medria Hardhienata, Medria Kusuma Dewi 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 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 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 Mohammad Mukhayadi Muhamad Ramdani, Risma Muhamad Syukur Muhammad Hadi Pranowo Mukhlis Mukhlis Mulyono, Pudji Mustakim Mustakim Mustakim Mustakim Nadia Nur Soraya Nasution, Efrida Yanti Nia Kurniati Nimmi Zulbainarni Noorlela Marcheta Novi Murdiyanti Nugraha Edhi Suyatma Nugroho, Arga Agung Nupin, Iswadi Syahrial Nur Arifin Akbar Nurhardryani, Yani 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. Rifa Herdian Raden Asri Ramadhina Fitriani Ramadhan, Jeri Rein Suadamara Rillya Arundaa 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 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 Wisnu Ananta K. Wisnu Ananta Kusuma Yamin, Fadhilah Bt Mat Yandra Arkeman Yandra Arkeman Yani Nurhadryani Yanto Hermawan Yessy Yanitasari Yudhi Trisna Atmajaya Yuni Sugiarti Yuni Sugiarti, Yuni Yusmar, Addini Yusra Fernando Zenal Asikin