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All Journal JRAK: Jurnal Riset Akuntansi dan Komputerisasi Akuntansi Jurnal Ekonomi dan Bisnis Jagaditha Jurnal Aplikasi Bisnis dan Manajemen (JABM) E-Journal Jurnal Manajemen Indonesia JURNAL MANAJEMEN INDUSTRI DAN LOGISTIK The Accounting Journal of Binaniaga International Journal of Social Science and Business International Journal of Supply Chain Management GERVASI: Jurnal Pengabdian kepada Masyarakat JIA (Jurnal Ilmiah Akuntansi) JOISIE (Journal Of Information Systems And Informatics Engineering) Procuratio : Jurnal Ilmiah Manajemen Kurs : Jurnal Akuntansi, Kewirausahaan dan Bisnis Bilancia : Jurnal Ilmiah Akuntansi International Journal of Economics, Business and Accounting Research (IJEBAR) Al-Kharaj: Journal of Islamic Economic and Business Community Development Journal: Jurnal Pengabdian Masyarakat PLAKAT : Jurnal Pelayanan Kepada Masyarakat Bansi (Jurnal Bisnis Manajemen Akuntansi) Jurnal Akuntansi Keuangan dan Bisnis Jurnal Manajemen dan Kewirausahaan International Journal of Public Health Excellence (IJPHE) International Journal of Community Service (IJCS) Journal of Applied Business and Technology Journal of Artificial Intelligence and Digital Business Reflection: Education and Pedagogical Insights PROCEEDING OF INTERNATIONAL CONFERENCE ON BUSINESS MANAGEMENT AND ACCOUNTING Luxury: Landscape of Business Administration Interconnection: An Economic Perspective Horizon Nexus Synergy: A Business Perspective Journal of Entrepreneurial and Business Diversity Manis : Jurnal Manajemen dan Bisnis JUDIKAT: Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Masyarakat dan Riset Pendidikan El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam IECON: International Economics and Business Conference Jurnal Ekonomi, Manajemen, Akuntansi International Journal of Educatio Elementaria and Psychologia
Nicholas Renaldo
Institut Bisnis Dan Teknologi Pelita Indonesia
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The Effect of the Work Environment, Work Motivation and Work Stress on Employee Work Productivity at Pt. Mitra Angkutan Sejati Pekanbaru Suhardjo, Suhardjo; Angelica, Angelica; Renaldo, Nicholas; Nyoto, Nyoto; Setyawan, Onny; Jahrizal, Jahrizal
Journal of Entrepreneurial and Business Diversity Vol. 4 No. 3 (2026): Journal of Entrepreneurial and Business Diversity (July-September)
Publisher : PT. Keberlanjutan Strategis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38142/jebd.v4i3.411

Abstract

Purpose:This study aims to determine the influence of the work environment, work motivation and work stress on the work productivity of PT. Mitra Angkutan Sejati Pekanbaru.Methodology:The population that participated in this study was all employees totaling 120 people. The sampling technique uses the census method. The analytical methods used in this study are preliminary tests, classical assumption tests, model feasibility tests, multiple linear regression analysis and so on using the help of SPSS software.Findings:The results showed that the variables of work environment, work motivation, and work stress had a significant positive effect on work productivity of PT. Mitra Angkutan Sejati Pekanbaru.Implication:Implikasi berdasarkan hasil penelitian ini, ditemukan bahwa lingkungan kerja, motivasi kerja, dan stres kerja memiliki pengaruh terhadap produktivitas karyawan di PT. Mitra Angkutan Sejati Pekanbaru.
Exploring Gamification in the Work Experience of Generation Z Employees Nyoto Nyoto; Nicholas Renaldo; Evelyn Wijaya; Rizaldi Putra; Gatot Wijayanto; Rebecca La Volla Nyoto
Journal of Entrepreneurial and Business Diversity Vol. 4 No. 3 (2026): Journal of Entrepreneurial and Business Diversity (July-September)
Publisher : PT. Keberlanjutan Strategis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38142/jebd.v4i3.424

Abstract

The increasing use of digital technologies in the workplace has encouraged organizations to explore new approaches to creating meaningful employee experiences. One emerging approach is gamification, which incorporates game-related elements into non-game contexts, including workplace activities. This study aims to explore how Generation Z employees experience and interpret gamification in their work environment. A qualitative exploratory approach was employed, with data collected through semi-structured interviews with Generation Z employees who had experience with gamified workplace systems. The data were analyzed using thematic analysis with the assistance of ATLAS.ti. The analysis focused on five initial dimensions of gamification: badges, leaderboards, challenges, social interaction, and progress tracking. The findings indicate that gamification is experienced through several interconnected themes, including digital recognition, achievement and motivation, healthy competition and competitive pressure, social interaction, and progress awareness. The findings further indicate that gamification does not generate a uniform experience among employees. The same gamification element may be perceived positively by some employees while creating pressure or discomfort for others. Thus, gamification should be understood not merely as a technological feature but as part of the broader digital employee experience. The study contributes to the qualitative literature on gamification by emphasizing employees' subjective interpretations and experiences, while also providing practical insights for organizations in designing more meaningful, balanced, and employee-centered gamification systems
The Climate Compression Effect on Hybrid Educational Organizations Nicholas Renaldo; Achmad Tavip Junaedi; Nyoto Nyoto; Suhardjo Suhardjo; Wilda Susanti; Onny Setyawan; Rizaldi Putra; Yenny Wati; Gusrio Tendra; Jahrizal Jahrizal
Reflection: Education and Pedagogical Insights Vol. 4 No. 2 (2026): Reflection: Education and Pedagogical Insights
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/reflection.v4i2.160

Abstract

The transformation of educational organizations into digitally connected and hybrid environments has expanded academic interaction across physical and digital spaces. While hybridization offers greater flexibility and connectivity, it may also reshape how organizational members experience interpersonal and academic climates. This study proposes the Climate Compression Effect (CLC Effect) as a new qualitative conceptual lens for understanding a subtle organizational phenomenon in which the presence or arrival of a particular individual is experienced as narrowing the psychological, interpersonal, and communicative space of other organizational members. The study employs a qualitative exploratory approach and positions CLC as a sensitizing concept rather than a predetermined theoretical model. The conceptual analysis indicates that climate compression may be experienced through increased caution in communication, reduced openness, diminished informal interaction, greater interpersonal formality, selective communication, and withdrawal, even in the absence of overt conflict or formal organizational disruption. The phenomenon is particularly relevant to hybrid educational organizations because interpersonal influence may extend across interconnected physical and digital environments, including classrooms, meetings, messaging platforms, email, learning management systems, and online meetings. The study distinguishes CLC from organizational conflict, psychological safety, and the chilling effect by emphasizing the broader perceived contraction of the organizational space in which members communicate and interact. The CLC Effect is therefore proposed as a sensitizing concept for future qualitative investigation of interpersonal climate dynamics in hybrid educational organizations.
AI-Based Digital Twin Development for Optimizing Hydrogen Production, Distribution, and Business Profitability Nicholas Renaldo; Jaswar Koto; M. Dalil; Dodi Sofyan Arief; Sulaiman Musa; Nindy Daviny; Cecilia Cecilia; Kristy Veronica
Journal of Applied Business and Technology Vol. 7 No. 1 (2026): Jounal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/s04p2v22

Abstract

The transition toward a low-carbon energy system has increased interest in green hydrogen as an energy carrier for renewable energy integration, industrial applications, and sustainable transportation. However, the economic competitiveness of hydrogen remains constrained by the complexity of coordinating renewable-energy availability, electrolyzer operation, hydrogen storage, distribution, market demand, and profitability. This study proposes an AI-Based Hydrogen Business Digital Twin (HBDT) to optimize hydrogen production, distribution, and business profitability through an integrated digital decision-making framework. The research employs a simulation-based development approach that combines Digital Twin technology, Artificial Intelligence, predictive analytics, multi-objective optimization, and techno-economic analysis. Several machine-learning models, including Random Forest, Support Vector Regression, XGBoost, Artificial Neural Network, and Long Short-Term Memory (LSTM), are evaluated for predictive performance. The simulation results indicate that LSTM provides the strongest performance, achieving an MAE of 0.041, RMSE of 0.068, and R2 of 0.981. Scenario analysis demonstrates that profitability increases from 12.5% under fixed production and distribution to 32.4% under the integrated AI, Digital Twin, and optimization scenario. The techno-economic simulation further indicates reductions in hydrogen production cost, levelized cost of hydrogen, and distribution costs, accompanied by improvements in renewable-energy utilization, revenue, ROI, and payback period. These findings demonstrate that the proposed HBDT can transform hydrogen management from a static and reactive process into a predictive, prescriptive, and potentially autonomous business ecosystem. The study contributes to the emerging concept of Hydrogen Business 4.0, in which technical operations and economic decisions are continuously optimized through AI and Digital Twin technologies.
Digital Transformation of Goat Milk Supply Chains through an Integrated Smart Cold-Chain Logistics System Nyoto Nyoto; Nicholas Renaldo; Jahrizal Jahrizal; Azridjal Aziz; M. Dalil; Achmad Tavip Junaedi; Yusrizal Yusrizal; Alyauma Hajjah; Sulaiman Musa; Cecilia Cecilia
Journal of Applied Business and Technology Vol. 7 No. 2 (2026): Jounal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/re8a7652

Abstract

The rapid digital transformation of agribusiness has created significant opportunities to improve supply chain efficiency, product quality, and operational sustainability through the integration of smart technologies. However, goat milk supply chains continue to face challenges associated with short product shelf life, inadequate cold-chain infrastructure, limited distribution visibility, and high logistics costs, particularly among small and medium-sized enterprises (SMEs). This study aims to develop and evaluate an Integrated Smart Cold-Chain Goat Milk Logistics System (SCGLMS) as a digital transformation model for goat milk supply chains. A Design Science Research (DSR) methodology was employed, consisting of problem identification, system design, prototype development, pilot implementation, and system evaluation. The proposed SCGLMS integrates four interconnected layers: smart milk processing, intelligent packaging, IoT-enabled cold-chain logistics, and a cloud-based digital management platform that provides real-time monitoring, digital traceability, and logistics analytics. The findings demonstrate that the integrated system significantly improves supply chain visibility, operational coordination, and decision-making by enabling continuous monitoring of temperature, humidity, shipment status, and product quality throughout distribution. The system also enhances logistics efficiency, minimizes product spoilage, extends market accessibility, and strengthens customer confidence through improved transparency and traceability. This study contributes to the literature on digital supply chain management by proposing a comprehensive technological framework specifically designed for goat milk logistics. Furthermore, it provides practical guidance for SMEs, agribusiness practitioners, and policymakers seeking to accelerate digital transformation and sustainable supply chain development within the dairy industry.
Beyond Cold Storage and Smart Milk Bank as a Disruptive Supply Chain Innovation for Strengthening National Dairy Industry Resilience Nicholas Renaldo; Achmad Tavip Junaedi; Suhardjo Suhardjo; Azridjal Aziz; M. Dalil; Erpiani Siregar; Jahrizal Jahrizal; Umar Faruq; Jaswar Koto; Kristy Veronica
Journal of Applied Business and Technology Vol. 7 No. 2 (2026): Jounal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/b277se34

Abstract

The national dairy industry faces persistent challenges related to fluctuating milk supply, quality deterioration, limited traceability, and inefficiencies in conventional milk collection and storage systems. This study proposes the Smart Milk Bank (SMB) as a disruptive supply chain innovation that moves beyond the conventional function of cold storage by integrating rapid cooling, cold-chain management, real-time quality monitoring, digital traceability, inventory management, and an intermediary business model. An applied research and technology development approach is employed, involving system requirement analysis, prototype development, functional testing, industrial implementation, and performance evaluation. Data are obtained from milk quality measurements, sensor records, production and inventory data, operational observations, and stakeholder feedback. The proposed system is designed to transform the milk bank into an active supply-chain buffer capable of coordinating milk quality and volume according to industrial demand. Performance evaluation focuses on milk losses, quality consistency, supply stability, operating costs, traceability, and system reliability. The proposed targets include reducing damaged milk from approximately 10–15% to 6–8%, improving managed supply stability by 20–30%, and reducing operating costs by 15–25%. The study positions Smart Milk Bank as a systemic innovation in which technological integration and business-model innovation jointly strengthen dairy supply chain resilience. The findings provide a conceptual and practical foundation for developing a scalable, digitally enabled milk supply system that can support the competitiveness, sustainability, and resilience of the national dairy industry. 
Disrupting the Veterinary Value Chain through AI-Based Goat Health Management Achmad Tavip Junaedi; Nicholas Renaldo; Nyoto Nyoto; Erlin Erlin; Gustientiedina Gustientiedina; Yulvia Nora Marlim; Tito Suprayoga; Jahrizal Jahrizal; Umar Faruq; Kristy Veronica
Journal of Applied Business and Technology Vol. 7 No. 2 (2026): Jounal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/9x4hae67

Abstract

The digital transformation of livestock production is creating new opportunities to redesign conventional veterinary service delivery. However, veterinary services in goat farming remain constrained by limited personnel, geographic accessibility, delayed disease detection, and relatively high service costs. This study examines how artificial intelligence can disrupt the veterinary value chain through Kambing Light Vision, an AI-based goat health management platform that integrates Computer Vision, disease detection, prediction confidence, and AI-assisted veterinary care recommendations. An exploratory qualitative case study approach was employed by analyzing the technology development process, veterinary service workflow, stakeholder roles, commercialization pathways, and potential business value. The results indicate that AI can shift preliminary health assessment from a predominantly veterinarian-dependent process toward a digitally assisted and farmer-accessible service. This transformation can shorten information flows, reduce service and transaction bottlenecks, improve veterinary triage, and create new value propositions for farmers, veterinary clinics, cooperatives, and agribusiness organizations. The analysis further identifies subscription-based Software as a Service, technology licensing, and managed veterinary services as potential mechanisms for converting AI capabilities into scalable business value. The study argues that the disruptive potential of AI does not lie solely in disease-classification accuracy but in its ability to reconfigure the veterinary value chain and transform how veterinary services are accessed, delivered, and commercialized. Kambing Light Vision therefore represents a transition from AI as a diagnostic technology toward AI-enabled veterinary service infrastructure with potential implications for digital agriculture and sustainable livestock business.
DUAL-LAYER ANTI-SPOOFING UNTUK SISTEM PRESENSI MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK DAN GEOFENCING HAVERSINE Yermis Duha; Gusrio Tendra; Wilda Susanti; Wahyu Joni Kurniawan; Nicholas Renaldo
JOISIE (Journal Of Information Systems And Informatics Engineering) Vol. 10 No. 1 (2026)
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/joisie.v10i1.5906

Abstract

Sistem absensi berbasis web menghadapi dua vektor penipuan utama yaitu pemalsuan GPS dan pemalsuan biometrik melalui foto, video replay, atau deepfake berbasis AI. Solusi yang ada umumnya hanya mengatasi satu ancaman, meninggalkan celah keamanan yang kritis. Penelitian ini mengusulkan dan memvalidasi kerangka kerja keamanan dua lapis yang mencegah kedua ancaman secara bersamaan melalui Liveness Detection sisi klien dan geofencing sisi server. Liveness Detection menggunakan Convolutional Neural Network berbasis MobileNetV1 melalui pustaka face-api.js yang berjalan sepenuhnya di browser. Pengguna harus mempertahankan ekspresi senyum dengan probabilitas ?0,70 selama 1,5 detik sebelum absensi diaktifkan. Otentisitas lokasi diverifikasi di sisi server menggunakan Rumus Haversine dengan pengiriman melebihi radius 50 meter ditolak dengan HTTP 403. Sistem dikembangkan menggunakan metodologi Waterfall dengan backend Flask dan basis data SQLite. Evaluasi dilakukan melalui pengujian skenario keamanan terstruktur yang mengukur True Positive Rate (TPR), False Acceptance Rate (FAR), dan akurasi geofencing pada kondisi GPS stabil maupun koordinat yang dimanipulasi. Dari 40 percobaan liveness, sistem menghasilkan TPR 95%, FAR 0% terhadap serangan foto statis, dan akurasi geofencing 100% pada kondisi GPS stabil. Penelitian ini membuktikan secara nyata bahwa geofencing pada sisi klien dapat dilewati melalui Sensor Emulation browser dengan celah yang dieliminasi sepenuhnya oleh validasi sisi server. Kerangka kerja yang diusulkan memberikan ketahanan terhadap serangan presentasi dan penipuan lokasi tanpa instalasi aplikasi native. Temuan ini perlu divalidasi pada partisipan yang lebih besar, mengingat dataset terbatas pada 40 percobaan liveness dan 6 skenario geofencing. Penelitian lanjutan diprioritaskan pada ketahanan terhadap deepfake real-time dan mitigasi degradasi GPS dalam ruangan.
Digital Transformation and Business Value Creation through Smart Patchouli Oil Distillation Achmad Tavip Junaedi; Nicholas Renaldo; Suhardjo Suhardjo; Bord Nandre Aprila; Yenny Desnelita; Wilda Susanti; Jahrizal Jahrizal; M. Dalil; Marice Br Hutahuruk; Kristy Veronica
Luxury: Landscape of Business Administration Vol. 4 No. 2 (2026): Luxury: Landscape of Business Administration
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/luxury.v4i2.156

Abstract

Digital transformation is increasingly important for improving the competitiveness and sustainability of agro-industrial enterprises, particularly in essential oil production where conventional distillation remains constrained by energy consumption, process variability, limited monitoring, and inconsistent product quality. This study examines the potential of Aroma Smart Distiller as a digital transformation innovation for creating business value in patchouli oil production. The system integrates precision steam distillation, Internet of Things (IoT), edge computing, artificial intelligence (AI), adaptive process control, and solar hybrid energy into an integrated smart production platform. An applied research and experimental development approach is used to evaluate operational efficiency, energy consumption, productivity, product quality, and commercialization potential. The proposed system targets a patchouli oil yield of 2.8–3.2%, a 20–30% increase in productivity, and a 30–40% reduction in energy consumption compared with conventional distillation. The integration of real-time monitoring and AI-based optimization also provides production data that can support managerial decision-making, quality control, energy management, and continuous process improvement. From a business perspective, the technology creates value through cost efficiency, productivity enhancement, quality differentiation, sustainability, and access to premium and export markets. The commercialization model further indicates opportunities through equipment sales, intellectual property, licensing, and technology scale-up. The study concludes that smart distillation can function not only as a production technology but also as a strategic digital transformation mechanism for creating sustainable business value and strengthening the competitiveness of small and medium-sized enterprises in the essential oil industry.
The Meaning of Work in the Hybrid Era through a Phenomenological Inquiry into the Existential Experiences of Gen Z Employees Nyoto Nyoto; Nicholas Renaldo; Evelyn Wijaya; Rizaldi Putra; Gatot Wijayanto; Rebecca La Volla Nyoto; Kristy Veronica; Marice Br Hutahuruk
Luxury: Landscape of Business Administration Vol. 4 No. 2 (2026): Luxury: Landscape of Business Administration
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/luxury.v4i2.158

Abstract

Hybrid working has changed the way employees experience and understand work, particularly among Generation Z employees who are highly familiar with digital technology. This study aims to explore the meaning of work and the existential experiences of Gen Z employees in the hybrid era. A qualitative research approach with a phenomenological design was employed. Data were collected through semi-structured in-depth interviews with Gen Z employees who have experience working in hybrid environments and were selected using purposive sampling. The interview data were analyzed using thematic analysis, supported by NVivo or ATLAS.ti. The findings reveal four main themes: flexibility and freedom, work-life boundaries, technology and work experience, and meaning and identity. Hybrid working provides greater flexibility, autonomy, and control over work, but continuous digital connectivity can create difficulties in separating work from personal life. The findings also reveal a central paradox between freedom and attachment, where employees experience greater independence while remaining connected to work beyond conventional working hours. The study concludes that work for Gen Z is not merely a source of income but is also connected to identity, relationships, independence, purpose, and personal meaning. This study contributes a human-centered perspective to understanding hybrid working by emphasizing the lived and existential experiences of employees.
Co-Authors , Achmad Tavip Junaedi Abdul Rosid Abdul Wahab Aby Riestanti Achmad Tavip Junaedi Achmad Tavip Junaedi Agung Suranto Ahmad Rafa'i Alan Alfred Yang Alkhairi, M. Habib Alyauma Hajjah Amries Rusli Tanjung Amries Rusli Tanjung Amries Rusli Tanjung Andi Andi Andi Andi Andi Andi Andi Andi Andi Andi Angelica, Angelica Anggi Firmansyah Annisa Nugraheni Afridhianika Anton Anton Anton Anton Anton Aprilia, Bord Nandre Arfah Piliang Arih Dwi Prihastomo Arlia Asri Ady Bakri Astuti Dara Anjeli Augustine, Yvonne Aulia Ramadhani Azridjal Aziz Bahmid Hasbullah Bord Nandre Aprila Cecilia Cecilia Cecilia Cecilia Cecilia, Cecilia Chenda Dara Christian Rusli Dadi Komardi David David Deby Tri Agustin Deivita, Yan Desnelita, Yenny Dhea Anggelina Diana Sawen Dilahk Yladbla Dodi Sofyan Arief Dominicus Josephus Swanto T Eddy, Pujiono Efi Rofianto Hia Eko Sudarmanto Emiliana Shania Meta Nahak Endah Prawesti Ningrum Eny Retna Ambarwati Erlin Erlin Ermina Rusilawati Erpiani Siregar Eveline Tanshia Evelyn Wijaya Evelyn Wijaya Fadrul Fadrul Fadrul Fadrul Fadrul, Fadrul Farnila, Vera Fauzan Azim Fauziah Fauziah Fazal Mohamed Mohamed Sultan Febdwi Suryani Fifi Puspita Fitri Yani Fitri Yani Fitri Yani Fransisca Hanita Rusgowanto Fransisca, Luciana Gatot Wijayanto Geovanie, Geovanie Gusrio Tendra Gustientiedina Hadi, Syukri Hairudin, Hairudin Haristan, Meiviana Harrison, Edward Harry Patuan Panjaitan Helly Aroza Siregar Hidayat Syahputra Hilas, Rajah Abdulqadir Hinsatopa Simatupang Hocky, Agus Horsiando, Eric Hughes, Amy Hutahuruk, Marice Br I Gusti Ayu Asri Pramesti Ida Ayu Putu Sri Widnyani Ienne Yoseria Putri Ienne Yoseria Putri Indrastuti, Sri Indri Yovita Intan Purnama Intan Purnama Intan Purnama Irma Hakim Irwan Effendi Irwan Effendi Jahrizal James Jaswar Koto Jelia Juventia Jennie Dea Cheria Jenny Angelica Jessen, Jessen Johan Johan Kelvin Wijaya Komardi, Dadi Koto, Jaswar Kresna Agung Yudhianto Kristy Veronica Kristy Veronica Kristy Veronica Kudri, Wan Muhamad Layla Hafni Lestari, Dania Ayu Lita Umiputriani Gai Luciana Fransisca Luciana Fransisca Luciana Fransisca M Dalil Mahdi Mahdi Marice Br Hutahuruk Marice Br Hutahuruk Marice Br Hutahuruk Marice Br Hutahuruk Marice Br Hutahuruk Marjono Marlim, Yulvia Nora Mary Onasis Hasri Massaguni, Masnita Meyer, Kaspar Michael Elian Davin Mimelientesa Irman Ming Kiri Muhammad Adrian Agusta Muhammad Pringgo Prayetno Muhammad Pringgo Prayetno Muhammad Ridwan Mukhsin Mukhsin Mukhsin Mukhsin Munidewi, Ida Ayu Budhananda Musa, Sulaiman MUTHMAINNAH Nabila Hestia Nabila Wahid Nabila Wahid Nabila Wahid Namso Ukanahseil Napitupulu, Ryan Pardomuan Ni Putu Yuria Mendra Nicholas Stanley Nicholas, Eric Niken Widyastuti Nindy Daviny Novita Yulia Putri Novita Yulia Putri Nuonnad, Diaz Othman Nuriman M. Nur Nursyam AR Nyoto Nyoto Nyoto Nyoto, Nyoto Nyoto, Rebecca La Volla Nyoto, Rebeccca La Volla Octasylva, Annuridya Rosyidta Pratiwi Octavellyn, Shierly Okalesa, Okalesa Okšav, Nitram Onny Setyawan Onny Setyawan Panggabean, Jessylane Prayetno Prayetno, Muhammad Pringgo Prihastomo, Arih Dwi Priyono Pujiono Eddy Purba, Jansaris Othniel Purnama, Intan Puspita, Tuwilin Maladewi Putri, Novita Yulia Putu Wenny Saitri Rahman, Sarli Ramadani, Yulita Ramadhani Ramadhani Ramdani Ramdani Rangga Rahmadian Yuliendi Rebecca La Volla Nyoto Rebecca La Volla Nyoto Rebecca La Volla Nyoto Reilly, William Remy, Adrian Rezenebe Ngameyga Udab Ria Darmasari Ria Puspitasari Ricky Wijaya Rizaldi Putra Rizaldi Putra Rizqon Jamil Farhas Robert David Rozalia, Dwi Kirtapati Rusilawati, Ermina Sabrina Sabnah Sally Santoso, Pamuji Hari Sarli Rahman Schmidt, Matthias Septi, Iti Sevendy, Tandy Siswahyudianto Siti Aisyah Siti Ngatikoh Smith, Harry Sofyanto, Sofyanto Sri Indrastuti Sri Indrastuti Sriadmitum, Ike Stevanus Antoni.R Stevany Stevany Suci Fitria Sari Sudarno Sudarno Sudarno Sudarno Sudibyo, Yvonne Augustine Sugiyarti, Listya Suhardjo Suhardjo Suhardjo Suhardjo Suhardjo Suharti Suharti Suharti Suharti Suharti Suharti Sulaiman Musa Sulaiman Musa Sulaiman Musa Sunarni Sunarni Suranto, Agung Surikin Surya Safari SD Susantriana Dewi Sutandijo, Sutandijo SUYONO Suyono Suyono Suyono Suyono Suyono Suyono Tandy Sevendy Tandy Sevendy Taylor, John Alexander Teddy Chandra Teddy Chandra Teddy Chandra Thaief, Ilham Tito Suprayoga Tjahjana, Dominicus Josephus Swanto Tuti Dharmawati Umar Faruq Umar Faruq Veronica, Kristy Vivi Elvina Vomizon, Rodle Wahid, Nabila Wahyu Joni Kurniawan Wahyu Joni Kurniawan Wati, Yenny Widi, Rahma Wijaya, Boyke Wijaya, Febriana Wendy Wilda Susanti William William Yenny Wati Yenny Wati Yermis Duha Yu, Hou Yuni Shara Sitompul Yusnidar Yusnidar Yusrizal Yusrizal Yusrizal Yusrizal Yusrizal Yvonne Augustine