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All Journal JURNAL SISTEM INFORMASI BISNIS Techno.Com: Jurnal Teknologi Informasi EDUTECH: Jurnal Ilmu Pendidikan dan Ilmu Sosial CESS (Journal of Computer Engineering, System and Science) Al Ishlah Jurnal Pendidikan JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING SCIENCE TECH: Jurnal Ilmiah Ilmu Pengetahuan dan Teknologi Syntax Literate: Jurnal Ilmiah Indonesia IJIS - Indonesian Journal On Information System JOURNAL OF APPLIED INFORMATICS AND COMPUTING METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurnal Sisfokom (Sistem Informasi dan Komputer) Technomedia Journal Jurnal Teknik Informatika UNIKA Santo Thomas INTECOMS: Journal of Information Technology and Computer Science Wacana: Jurnal Ilmiah Ilmu Komunikasi Jurnal Basicedu Journal of Education Technology Aptisi Transactions on Technopreneurship (ATT) SALTeL Journal (Southeast Asia Language Teaching and Learning) JURNAL TEKNOLOGI INFORMASI Jurnal Mantik Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Technologia: Jurnal Ilmiah Bahastra: Jurnal Pendidikan Bahasa dan Sastra Indonesia Jurnal Pendidikan dan Konseling Prosiding National Conference for Community Service Project Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Community Development Journal: Jurnal Pengabdian Masyarakat BERNAS: Jurnal Pengabdian Kepada Masyarakat Infotech: Journal of Technology Information Jurnal Teknologi Informatika dan Komputer JURNAL PENDIDIKAN SAINS SOSIAL DAN AGAMA Jurnal Teknimedia: Teknologi Informasi dan Multimedia Journal of Applied Data Sciences Mitra Mahajana: Jurnal Pengabdian Masyarakat International Journal of Multidisciplinary: Applied Business and Education Research KLIK: Kajian Ilmiah Informatika dan Komputer Journal of Information System and Technology (JOINT) Edu Cendikia: Jurnal Ilmiah Kependidikan Nama jurnal : International Journal of Education and Humanities Bulletin of Information Technology (BIT) International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET) Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Joong-Ki : Jurnal Pengabdian Masyarakat KOMMAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Basicedu Jurnal Ilmu Pendidikan dan Sosial Mamangan Social Science Journal Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Indonesian Research Journal on Education Innovative: Journal Of Social Science Research TOFEDU: The Future of Education Journal Conference on Management, Business, Innovation, Education and Social Sciences (CoMBInES) Conference on Community Engagement Project (Concept) Conference on Business, Social Sciences and Technology (CoNeScINTech) Social Engagement: Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmiah Research Student Jurnal Sains Student Research Cendikia Pendidikan Joong-Ki Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Blockchain Frontier Technology (BFRONT) Bilingual : Jurnal Pendidikan Bahasa Inggris JURNAL PENDIDIKAN BAHASA Pengembangan Penelitian Pengabdian Jurnal Indonesia (P3JI) Pande Nami Jurnal (PNJ) Joong-Ki INOVTEK Polbeng - Seri Informatika Journal of Computer Science and Technology Application Jurnal Informatika
Mungkap Mangapul Siahaan
Universitas Internasional Batam
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Iris Identification Using Resnet Iris Feature Extraction Architecture For Better Biometric Security Hendi Sama; Tukino Tukino; Mangapul Siahaan; Erica Titoni
Journal of Applied Data Sciences Vol 7, No 2: May 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i2.1166

Abstract

Iris recognition is widely acknowledged as one of the most reliable biometric modalities due to its high uniqueness, rich textural patterns, and long-term stability. Unlike other biometric traits, iris characteristics resist forgery, aging effects, and environmental variations, making it suitable for high-security applications. Recently, convolutional neural networks (CNNs) have been extensively applied in iris recognition to improve feature representation and classification accuracy. However, many CNN-based approaches still depend on conventional segmentation and handcrafted features, which reduce robustness under noisy data, illumination variations, occlusions, or unconstrained environments. To address these limitations, this study proposes an enhanced iris identification framework combining a modified T-Net for precise segmentation with deep residual feature extraction for improved discrimination. Unlike conventional systems focus mainly on classification, the proposed approach emphasizes segmentation-driven feature consistency, ensuring extracted features originate from accurately localized iris regions. This design enhances stability and reliability, particularly under challenging imaging conditions. The framework leverages transfer learning and efficient representation learning strategies, enabling high accuracy even with a limited labelled data. Evaluations on three benchmark datasets CASIA-IrisV4, IITD Iris Database, and UBIRIS.v2 covering both controlled and less-constrained acquisition scenarios. Results show that it achieves classification accuracy of up to 98.35%, while maintaining computational efficiency suitable for deployment. The proposed architecture offers a robust, data-efficient, and scalable solution for secure biometric authentication, with strong potential for real-world applications such as access control, identity verification, and high-security authentication systems.
Implementing Mobile-based AI in Household Waste Type and Condition Classification Suwarno Suwarno; Joen Lie; Mangapul Siahaan
Bulletin of Information Technology (BIT) Vol 7 No 1: Maret 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v7i1.2504

Abstract

Urbanization and population growth have significantly increased waste generation, creating challenges for effective waste management and recycling. Improper waste sorting and management often results to unrecyclable waste contaminating recycling streams or recyclable waste ending up in landfill. This research presents a mobile-based waste classification application that integrates YOLOv11n for real-time object detection, and uses TensorFlow Lite with a Flutter-based user interface. The model was trained on a dataset of 4,410 images, which combines self-gathered images and images from Kaggle dataset. The images are then augmented to 10,936 images covering 23 waste classes, including organic, inorganic, hazardous, and residual types, with their recyclability conditions. The application allows users to detect objects using their phone camera, to identify their classification and condition, as well as receive actionable 3R (Reduce, Reuse, Recycle) recommendations. Evaluation results show a precision of 0.5963, recall of 0.60563, mAP@0.5 of 0.62246, and mAP@0.5:0.95 of 0.5279, indicating decent classification despite challenges posed by visually similar objects and variable backgrounds. Overall, the system demonstrates the feasibility of deploying a lightweight AI model on mobile devices in hopes of supporting proper waste segregation, increase user awareness, and potentially reduce contamination in recycling streams through practical waste classification.
Smart Contract Based Data Strategy for Startup Growth in Digital Business Systems Paroli Paroli; Muhtarom Muhtarom; Mungkap Mangapul Siahaan; Derlina Derlina; Kgomotso Moyo
CORISINTA Vol 3 No 2 (2026): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/gkh09876

Abstract

This study explores how smart contract based data strategies can support startup growth in digital business systems characterized by competition, limited resources, and increasing demand for transparency. In the context of rapid digital transformation, startups require reliable data governance mechanisms to manage transactions, automate business processes, and strengthen stakeholder trust. The background of this research highlights that conventional data management often faces challenges related to data integrity, operational inefficiency, centralized control, and limited transparency, making smart contracts a strategic alternative for supporting secure and automated digital business operations. The objective of this study is to analyze how smart contract based data strategies contribute to startup growth by enhancing data transparency, workflow automation, trust formation, and operational scalability. Employing a qualitative conceptual approach, this study synthesizes academic literature, blockchain related studies, and documented insights on smart contract implementation in digital business environments. The analysis focuses on key dimensions, including decentralized data management, automated transaction execution, transparency mechanisms, security assurance, and workflow efficiency. The results indicate that smart contracts function not merely as blockchain tools but as strategic data mechanisms that enable startups to reduce operational risks, improve process reliability, and strengthen digital business credibility. The conclusion reveals that effective smart contract implementation can support sustainable startup growth by improving data accountability, enhancing stakeholder confidence, and enabling scalable digital operations. This study contributes to blockchain and digital business literature by positioning smart contracts as strategic data capabilities for startup development.
Distributed Data Integrity and Decentralized Storage Leveraging IPFS in Blockchain Systems Ahmad Gunawan; Mungkap Mangapul Siahaan; Rendhika Adyatama; Toktar Kerimbekov; Kristina Vaher
Blockchain Frontier Technology Vol. 5 No. 2 (2026): Blockchain Frontier Technology
Publisher : IAIC Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/bfront.v5i2.915

Abstract

In the digital era that increasingly relies on distributed systems, data integrity has become a major challenge for various technological platforms, ranging from cloud services to blockchain-based infrastructures. The dispersion of data across multiple nodes without centralized oversight increases the risk of manipulation, loss, and inconsistency. This study aims to evaluate the effectiveness of the InterPlanetary File System (IPFS) as a distributed data storage solution capable of maintaining data integrity in an automatic, efficient, and verifiable manner. The research method involves a literature review of 30 scientific references and a case study-based simulation conducted within a local network consisting of four active IPFS nodes. The tests include file uploads, verification of Content Identifiers (CID), simulation of node failures, and evaluation of system performance based on parameters such as security, efficiency, and scalability. The results indicate that IPFS successfully detects file changes through CID discrepancies, ensures continued data access despite node failures, and optimizes bandwidth usage via caching and replication mechanisms. In conclusion, IPFS offers a secure, scalable, and tamper-resistant approach to distributed data storage, making it highly relevant for modern digital systems requiring transparency, reliability, and strong data integrity guarantees.
Manajemen Proyek Sistem Informasi, Studi Kasus di PT. Weefer Indonesia Mangapul Siahaan; Yulsen; Muhammad Dody Firmansyah
National Conference for Community Service Project (NaCosPro) Vol. 7 No. 01 (2025): The 7th National Conference for Community Service Project 2025
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/nacospro.v7i01.10662

Abstract

Laporan ini menguraikan pelaksanaan kegiatan magang sebagai Web Developer di PT. Weefer Indonesia, sebuah perusahaan yang bergerak di bidang teknologi informasi dan pengembangan perangkat lunak. Tujuan dari magang ini adalah memberikan kontribusi kepada mitra dalam menciptakan antarmuka pengguna yang intuitif dan responsif pada aplikasi web internal. Selama program magang, penulis terlibat dalam pengembangan frontend, optimasi performa tampilan, serta integrasi dengan backend melalui API. Metode yang digunakan meliputi perancangan komponen UI, penggunaan framework modern, dan pengujian fungsional. Hasil dari kegiatan ini menunjukkan peningkatan kepuasan pengguna internal dan efisiensi proses pengembangan.
Perancangan dan Implementasi Sistem Informasi Volunteer Donation Management System untuk PT. Tigernix Solutions Indonesia Suwarno Liang; Vincent Lim; Mangapul Siahaan
National Conference for Community Service Project (NaCosPro) Vol. 7 No. 01 (2025): The 7th National Conference for Community Service Project 2025
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/nacospro.v7i01.10725

Abstract

Kerja praktik merupakan sarana pembelajaran langsung bagi mahasiswa dalam menerapkan teori perkuliahan ke dalam dunia industri. Artikel ini membahas kerja praktik yang dilaksanakan di PT Tigernix Solutions Indonesia, di mana penulis berperan sebagai pengembang backend sekaligus penanggung jawab proyek dalam pengembangan sistem Volunteer Donation Management berbasis TigernixERP. Kegiatan meliputi analisis kebutuhan, perancangan basis data, pengembangan API, dan penerapan metode Agile dengan kerangka kerja Scrum. Sistem berbasis web ini dirancang untuk mengintegrasikan pengelolaan relawan dan donasi dalam satu platform digital yang terpusat. Sebelum implementasi, organisasi mitra masih menggunakan formulir kertas dan pencatatan manual melalui spreadsheet. Berdasarkan umpan balik pengguna setelah sistem digunakan, digitalisasi proses relawan berhasil mengurangi waktu input dan rekap data hingga sekitar 68%, serta meningkatkan konsistensi pelaporan. Kegiatan ini tidak hanya memperkuat kompetensi profesional mahasiswa dalam rekayasa perangkat lunak, tetapi juga memberikan dampak operasional nyata bagi mitra industri.
Perancangan dan Implementasi Backend Sistem Daily Output Production di PT. Dynacast Indonesia Setiawan Joddy; Mangapul Siahaan; Muhamad Dody Firmansyah
National Conference for Community Service Project (NaCosPro) Vol. 7 No. 01 (2025): The 7th National Conference for Community Service Project 2025
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/nacospro.v7i01.10761

Abstract

Di tengah perkembangan teknologi informasi yang pesat, banyak perusahaan mulai beralih ke solusi digital untuk meningkatkan efisiensi operasional, khususnya dalam proses produksi dan pelaporan data. Di PT. Dynacast Indonesia, pencatatan hasil produksi harian masih dilakukan secara manual, sehingga menimbulkan keterlambatan dan ketidakakuratan dalam penyampaian informasi kepada manajemen. Untuk mengatasi masalah tersebut, dikembangkan sebuah sistem backend sebagai bagian dari Sistem Output Harian. Sistem ini dirancang untuk mendukung pendataan produksi secara real-time melalui API yang dapat diintegrasikan dengan frontend yang dikembangkan oleh tim lain. Pengumpulan data dilakukan melalui studi literatur, wawancara langsung dengan mitra, serta observasi di lapangan guna memahami kebutuhan sistem dan alur kerja tim produksi. Proses pengembangan sistem dibagi menjadi empat fase: persiapan, pelaksanaan, evaluasi, dan pelaporan. Hasil implementasi menunjukkan bahwa sistem backend mampu menyimpan dan menyajikan data produksi secara akurat serta dapat diakses secara langsung oleh sistem frontend. Selain itu, sistem ini membantu meningkatkan efisiensi proses pelaporan dan mempermudah manajemen dalam mengevaluasi kinerja produksi. Dengan demikian, pengembangan backend sistem Daily Output Production memberikan kontribusi positif dalam meningkatkan transparansi, produktivitas, dan profesionalisme pada proses produksi di PT. Dynacast Indonesia.
Perancangan dan Implementasi Front end Website Profile & Crud Product Knowledge di PT. Panca Utama Nancy Vanessa; Hendi Sama; Mangapul Siahaan
National Conference for Community Service Project (NaCosPro) Vol. 7 No. 01 (2025): The 7th National Conference for Community Service Project 2025
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/nacospro.v7i01.10795

Abstract

Digital transformation is a key requirement for companies that want to compete in the modern era, including for PT. Panca Utama, a hospitality equipment provider company that has been operating for more than two decades. In order to increase digital visibility and expand marketing reach, a community service activity was carried out in the form of designing and implementing a company website that includes a company profile and CRUD features for managing product information. The project was implemented using the Scrum methodology and involved the development of a user interface (front-end) using HTML, CSS, and JavaScript, as well as a Django-based backend. The final result is an official website that is informative, interactive, and easily accessible has been successfully implemented, enabling the company to appear more professional and efficient in serving customers and supporting future business growth.
Perancangan dan Implementasi Re-Design Website Sekolah di SMA Ananda Mangapul Siahaan; Jefriyanto Chandra; Muhamad Dody Firmansyah
National Conference for Community Service Project (NaCosPro) Vol. 7 No. 01 (2025): The 7th National Conference for Community Service Project 2025
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/nacospro.v7i01.10821

Abstract

Kegiatan Pengabdian kepada Masyarakat ini bertujuan untuk membantu SMA Ananda Batam dalam meningkatkan kualitas dan efektivitas website sekolah. Permasalahan utama yang dihadapi oleh mitra adalah performa website yang lambat, tidak optimal dalam penyimpanan cache, penggunaan media yang belum terkompresi, serta beberapa plugin yang tidak efisien. Selain itu, website juga belum memiliki panduan pengunaan yang memadai. Metode pelaksanaan kegiatan ini meliputi observasi, wawancara, analisis kebutuhan, serta implementasi re-design dan optimasi website menggunakan pendekatan difusi Ipteks. Beberapa langkah konkret yang dilakukan mencakup aktivasi caching, kompresi media, penghapusan plugin yang tidak diperlukan, perpanjangan masa aktif hosting, serta pembuatan manual penggunaan untuk admin sekolah. Hasil kegiatan menunjukkan peningkatan signifikan dalam kecepatan akses dan kemudahan pengelolaan website oleh pihak sekolah. Rekomendasi ke depan adalah perlunya pelatihan lanjutan bagi pengelola serta pemantauan berkala terhadap performa website.
Perancangan dan Implementasi Website Tracer Study di SMAK Yos Sudarso Batam Suwarno Liang; Joen Lie; Mangapul Siahaan
National Conference for Community Service Project (NaCosPro) Vol. 7 No. 01 (2025): The 7th National Conference for Community Service Project 2025
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/nacospro.v7i01.10842

Abstract

Di era digital saat ini, keberadaan sistem pelacakan alumni (tracer study) sangat dibutuhkan oleh institusi pendidikan untuk mendukung evaluasi kurikulum dan proses akreditasi. SMAK Yos Sudarso Batam mengalami kendala dalam pengelolaan data alumni karena belum diimplementasikan sistem tracer study. Oleh karena itu, dilakukan kegiatan kerja praktik yang bertujuan untuk merancang dan mengimplementasikan website tracer study sebagai solusi dari permasalahan tersebut. Proses pengembangan dilakukan mulai dari analisis kebutuhan, perancangan antarmuka dengan Figma, pengembangan sistem menggunakan Laravel, HTML, CSS, dan MySQL, hingga tahap pengujian sistem. Hasil dari kegiatan ini adalah sebuah website tracer study yang responsif dan fungsional, dilengkapi dengan fitur login untuk admin dan alumni, manajemen data, dashboard statistik, serta fitur impor data menggunakan file Excel. Website ini telah berhasil diimplementasikan, dihosting, dan kini dapat diakses serta digunakan secara online oleh pihak sekolah untuk mendukung proses pelacakan alumni.
Co-Authors , Loren Adi Agnes Sianipar Agung Rizky Ahmad Gunawan Ahmad Mawardi Lubis Andik Yulianto Anita Panjaitan Anita Sitanggang Annisya Putri Nadhia Anton Luvi Siahaan Apriani Sijabat Ariq Bimantoro Balinda Oca Rosalia Basar Lolo Siahaan Bertaria Sohnata Hutauruk Canni Loren Sianturi Cesya Rosenta Purba Chandra, Jefriyanto Chintya Lorenz Christian S. Putra Girsang Christian, Yefta Christopher Christopher Christopher Harsana Jasa Daniel Arnoldi Gultom Darius Angtony David Gordon Gultom Dedy Susanto Deli Derlina Derlina Dewi, Syasya Tri Puspita Dian Winda Tamba Edwards, John Efrinda Yuliarmi Damanik Eka Setiawati Erica Titoni Eryc, Eryc Febri Yanti Firmansyah, Muhamad Dody Fitri May Danthi Saragih Frank Lurich Gabriella Clarisa Silaban Gabriella, Jessica Glorya Natalia Rohani Napitupulu Gultom, Erwin Geovanis Guntara, Muhammad Arif Hafizh akmal Hafizh Akmal Haloho, Uci Nursanty Handyca Yeng Hansen Jonatan Hansvirgo Hansvirgo Hendi Che Hendi Sama Heppy Theresia Sitompul Herna Febrianty Sianipar Herna Febrianty Sianipar Hisar Marulitua Manurung Hutahaean, David Togi Hutahaean, Grace Saurma Indasari Deu Irene Adryana Nababan Irene Adryani Nababan Jason Angelo Ong Jefriyanto Chandra Jennifer Jennifer Jocelyn Jocelyn Joen Lie Julia Julia Justin Justin Kamal Arif Al-Farouqi Kelvin Kelvin Kurniawan Kenidy, Ryan Kevin Anderson Kevin William Andri Siahaan Kgomotso Moyo Khomali, Carlos Justin Kristiani Siagian Kristina Vaher Leonita Maria E Manihuruk Liang, Suwarno Lie, Joen Lim, Tevin Lim, Vincent Manurung, Sri Maneni Marbun, Lastri Evati Mori Marbun, Shopia Sonata Maret Ningsihermina Sihombing Maryanto Saragih Maulana, Azhar Mawar Febrianti Irene Manurung Meilani Sidabutar Melda Veby Ristella Munthe Melissa Valentino Rosiana Mely Christi Sihotang Mikhael Chendra Muhamad Dody Firmansyah Muhammad Dody Firmansyah Muhammad Ridho Alfarizi Muhammad Sulton Maulana Muhtarom Muthia Andini Nababan, Irene Adryana Nainggolan, Lonatasya Sevari Nancy Vanessa Nancy Vanessa Napitupulu, Selviana Nopia Sihombing Novita Forena Simanungkalit Oktaviani, Katherine Oktavina Oktavina Pane, Eva Pratiwi PANJAITAN, MUKTAR B Paroli Paroli Partohap S. R Sihombing, Partohap S. R Partohap Sihombing Pasaribu, Sunggul Paulus Nugraha Simanjuntak Purba, Christian Neni Purba, Johannes Riscy Purba, Rudiarman Purba, Yoel Octobe Randy Sitompul Rendhika Adyatama Restu Maulana Nashuha Richard Andre Sunarjo Ricky Hartanto Rizky Sebastian Rosalia, Balinda Oca Roy Valentino Chandra Rubin Gu Rubin Rubin Ruth Yuni Lisa Simangunsong Ryan Kenidy Ryan Kenidy Sabariman Sabariman Sabariman Sabariman Sama, Hendi Sama, Hendi Samosir, Hottua Sanggam Magda Lasmaria Siahaan Sanggam Siahaan Sarah Aufah Athiya Satria Lim Setia Oktaviana Sirait Setiawan Joddy Setiawan Joddy Siahaan, Basar Lolo Siahaan, Rina Devi Siahaan, Theresia Monika SIANTURI, TAMBOS AUGUST Sibagariang, Susy Alestriani Sibarani, Ega Putri Sani Sidabutar, Ropinus Sihombing, Santa R Silitonga, Immanuel Douglas Silvia Torong Simangunsong, Anita Debora Br. Simanjuntak, Fredian Simanjuntak, Harry Cristofel Simatupang, Leo Fernando Sinaga, Asima Rohana Sinaga, Asima Rohani Sinaga, Christa Voni Roulina Sinaga, Lambok Hasudungan Pratama Yuda Sinurat, Bloner Sirait, Esti Marlina Sirait, Jumaria Sirait, Setia Oktaviana Siska Natalia Situmeang Sitorus, Ester Steven Harazaki Lase Sudy Sumiati Butar-Butar Sunoto Sunoto Suwarno Liang Suwarno Liang Suwarno Suwarno Syaeful Anas Aklani, Syaeful Syahputra, Bayu Syahrul Muarif Wahid Syasya Tri Puspita Dewi Taai, Derwin Tambunan, Betty Jeniari Tambunan, Marlina Agkris Terizla, Rizky Fredrin Tessa Handra Tevin Lim Theresia Monika Siahaan Thesalonika, Emelda Tiarma Intan Marpaung Tiarma Marpaung Tjahyadi, Surya Toktar Kerimbekov TRI SUSANTI Tukino Tukino Vanessa, Nancy Vendhy Vendhy Vincent Lim Vincent Octarian Vianto Wahyu Yudianto Wenky, Wenky Wijaya, Ricky Wijaya Wilson Wilson Yanti Kristina Sinaga Yanti kristina Sinaga Yanto Gui Yeng, Handyca Yeni Enjela Sianturi Yosua Marasi Parningotan Siagian Yulsen Yulsen Zulkarnain Zulkarnain Zulkarnain