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All Journal Jurnal Review Pendidikan dan Pengajaran (JRPP) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer SENSITEK Jurnal Ekonomi Manajemen Sistem Informasi Jurnal Sains Komputer dan Teknologi Informasi Jurnal Teknimedia: Teknologi Informasi dan Multimedia Jurnal Indonesia : Manajemen Informatika dan Komunikasi International Journal Software Engineering and Computer Science (IJSECS) Al-MIKRAJ: Jurnal studi Islam dan Humaniora Nusantara of Engineering (NOE) Innovative: Journal Of Social Science Research Bulletin of Network Engineer and Informatics (BUFNETS) Mutiara: Multidiciplinary Scientifict Journal Jurnal Ilmiah Sistem Informasi Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Witana Tamilis Synex: Multidimensional Collaboration Jurnal Administrasi Negara Jurnal Ekonomi, Bisnis, Manajemen dan Akuntansi (JEBIMAN) Jurnal Salome (Multidisipliner Keilmuan) Humanitis (Jurnal Humaniora Sosial dan Bisnis) Jurnal Ekonomi dan Bisnis (Jebi) Jurnal Komunikasi Journal of Informatics, Intelligent Technology, Cybersecurity, and Software (JIITeCS)
Heru Sutejo
Program Studi Sistem Informasi, Universitas Sepuluh Nopember Papua
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Social Sciences Other

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ANALISIS SISTEM ANTRIAN M/M/1 PADA KASIR TOKO SAGA MENGGUNAKAN APLIKASI QM FOR WINDOWS Gregorius Anzelino Wijaya; Carolina Cetrin Yunike Imbiri, Melki Kayame, Mikaelda Regina Yagoyamu, Live Tong, Heru Sutejo
HUMANITIS: Jurnal Homaniora, Sosial dan Bisnis Vol. 3 No. 9 (2026): HUMANITIS : Jurnal Humaniora, Sosial dan Bisnis
Publisher : ADISAM PUBLISHER

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Abstract

This study aims to analyze the performance of the cashier queue system at Toko Saga using the M/M/1 queuing model and QM for Windows software. Assuming customer arrivals follow a Poisson distribution and service times are exponentially distributed, the M/M/1 model is applied to calculate system performance parameters and total operational costs. Based on observations, the average customer arrival rate is 7 customers per hour, while one cashier can serve 8 customers per hour. The simulation results show a system utilization rate of 88%, with an average of 6 customers waiting in line and an average queue time of approximately 52.5 minutes. The total operational cost per hour is recorded at Rp75,658, which includes cashier wages and customer waiting costs. The probability distribution indicates that the system most frequently operates with fewer than 10 customers, and the chance of exceeding 15 customers is low. Therefore, the current cashier system is considered efficient, although additional strategies such as cashier shifts or self-service systems are recommended to ensure continued performance and customer satisfaction.
PENERAPAN METODE LINEAR PROGRAMING UNTUK MEMAKSIMALKAN KEUNTUNGAN PENJUALAN BERBASIS QM FOR WINDOWS ( Studi Kasus : Warung Lalapan Sri Ayu) Muh. Arya Rafandi; David Oni Apaseray, Zulfahmi AS, Muhammad Akbar Maulana; Heru Sutejo
HUMANITIS: Jurnal Homaniora, Sosial dan Bisnis Vol. 3 No. 10 (2026): Humanitis (Jurnal Humaniora, Sosial dan Bisnis)
Publisher : ADISAM PUBLISHER

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Abstract

Small and Medium-sized Enterprises (SMEs), or Usaha Kecil dan Menengah (UKM) in Indonesian, in the culinary sector, especially traditional Indonesian eateries (warung lalapan), often face production optimization challenges amidst resource limitations. This study aims to analyze the optimal production combination of chicken and duck lalapan portions to maximize daily profit at Warung Lalapan Sri Ayu. The Linear Programming method with a graphical approach was used, utilizing the warung's daily operational data. Results indicate that the optimal production is 15 portions of Duck Lalapan and 0 portions of Chicken Lalapan per day, yielding a profit of Rp 150,000 per day. Work time constraint was identified as the primary limiting factor, while the production cost constraint was non-binding. It is concluded that Warung Lalapan Sri Ayu should focus its strategy on Duck Lalapan and strive to increase work time capacity to enhance potential profits, utilizing the remaining budget for strategic development.
DATA MINING ANALYSIS USING THE KNN ALGORITHM TO DETERMINE THE ACTIVE AND INACTIVE STATUS OF 5TH SEMESTER INFORMATION SYSTEMS STUDENTS (CASE STUDY: SEPULUH NOPEMBER UNIVERSITY PAPUA) Joi Rosalina Raweyai; Dina Antonia Hombore, Maria Monalisa Bebari, Jolio Up, Jenifer Sirami, Heru Sutejo
Jurnal Komunikasi Vol. 3 No. 6 (2025): Jurnal Komunikasi
Publisher : ADISAM PUBLISHER

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Abstract

The accelerated advancement of information technology requires higher education institutions, including Universitas Sepuluh Nopember Papua (USNP), to leverage data analytics in support of strategic decision-making, particularly in the management of student activity status. One of the major challenges faced is the early and accurate identification of students at risk of becoming inactive, especially in the fifth semester, which represents a critical stage of study where inactivity rates of approximately 15–22% have been identified within the Information Systems program. This study seeks to address the limited body of research that examines student status classification within the context of universities in Eastern Indonesia. Accordingly, the primary objective of this research is to examine the activity patterns of fifth-semester students through the development of a classification model based on the K-Nearest Neighbor (KNN) algorithm. This study adopts a quantitative research design combined with computational experimentation, utilizing a total population sample of 80 students from the 2023 Information Systems cohort. The research relies on secondary data obtained from the datasets “Mahasiswa SI 2023.xlsx” and “ipk mhs aktif sistem informasi.xlsx”. The dependent variable examined is Student Status (Active/Inactive), while the independent variables include Cumulative Grade Point Average (IPK), the number of credits successfully completed, and other relevant administrative attributes. Data preprocessing procedures consist of dataset integration, data cleaning, imputation of missing IPK values using the mean value (2.891 based on 58 observations), label encoding (Active = 1, Inactive = 0), and normalization of numerical features. The K-Nearest Neighbor (KNN) classification model is developed using the Euclidean distance metric, with several K values (3, 5, and 7) evaluated to determine optimal performance. Model effectiveness is subsequently assessed using accuracy, precision, recall, and F1-score metrics. The results are expected to show that the K-Nearest Neighbor (KNN) algorithm is capable of accurately classifying student status, with Cumulative Grade Point Average (IPK) identified as a key influencing variable. This study contributes by developing a KNN-based classification model specifically designed to predict student engagement in the fifth semester, thereby providing Universitas Sepuluh Nopember Papua (USNP) with a practical, data-driven analytical tool to support early intervention initiatives and enhance the quality of academic services
Expert System for Identifying Hardware Damage Using Naïve Bayes Method (Case Study: Computer Laboratory of Sepuluh Nopember University Papua) Isaac Samon Sabra; Heru Sutejo; Ajenkris Yanto Kungkung
International Journal Software Engineering and Computer Science (IJSECS) Vol. 6 No. 1 (2026): APRIL 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v6i1.5400

Abstract

This research aims to design and implement an expert system based on the Naïve Bayes method to identify computer hardware failures in the Computer Laboratory of Universitas Sepuluh Nopember Papua. The laboratory operates approximately 40 computer units used daily by students across multiple study programs, yet is supported by only three technicians — a gap that frequently delays repairs and disrupts practical sessions. The system draws on a knowledge base covering 15 hardware failure categories and 11 observable symptoms, including failures in processors, memory/RAM, storage devices (HDD/SSD), and peripheral components such as keyboards, mice, and monitors. Development followed the Waterfall model, system design was documented using UML, the application was built with CodeIgniter, and evaluation was conducted through accuracy testing against expert diagnoses. Testing on 20 cases yielded a 75% accuracy rate, demonstrating that the system is capable of supporting technicians in accelerating the troubleshooting process, reducing dependence on manual inspection, and sustaining the quality of laboratory practice sessions for students
Analisis Rasio Siswa dan Guru dalam Penentuan Kinerja Sekolah di Berbagai Wilayah Indonesia Melalui Metode Naive bayes Semuel Krimadi; Alan Fonataba; Charles Sesera Isawa; Heru Sutejo
Tamilis Synex: Multidimensional Collaboration Vol. 2 No. 02 (2024): Tamilis Synex: Multidimensional Collaboration
Publisher : CV Edujavare Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70610/tls.v2i02.615

Abstract

School performance assessment is a crucial aspect of improving the quality of education in Indonesia. This study aims to classify school performance using the Naive Bayes method, based on the student-to-teacher ratio and other supporting variables. The dataset used includes 400 schools in various locations with attributes such as school name, location, education level, number of students, number of teachers, and student-to-teacher ratio. School performance labels are categorized into three categories: Good, Adequate, and Poor. The Naive Bayes method is applied to predict performance categories based on the relationship patterns between variables in the dataset. Experimental results show that the Naive Bayes method achieves a classification accuracy of [insert accuracy value if available], with the student-to-teacher ratio being the most significant factor in predicting performance. This study demonstrates the potential of using probabilistic-based methods to support decision-making in school evaluation and management, and provides recommendations for education policy to maintain an ideal student-to-teacher ratio.
Analisis Desain Sistem Informasi Perpustakaan Berbasis QR Code dan Notifikasi Otomatis Nazwa Kafka Nafiza; Heru Sutejo; Siti Fatima Wagab; Ella Natalia Kogoya; Anggi Sukmawati
Tamilis Synex: Multidimensional Collaboration Vol. 4 No. 03 (2026): Tamilis Synex
Publisher : CV Edujavare Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70610/tls.v4i03.1413

Abstract

Library management at SMK Negeri 2 Bisnis Manajemen Jayapura is still conducted manually, resulting in several challenges, including slow transaction recording processes, difficulties in data retrieval, and the absence of an [1] Automatic Notification system for book returns. This study aims to design a [6] Web-Based Library System integrated with [2] QR Code technology and automatic notifications. The research employed a descriptive qualitative approach with a Research and Development (R&D) methodology. System development was conducted using the [3] SDLC Waterfall model and was limited to the [4] System Design stage. Data were collected through observation, interviews, and documentation studies. The results of this study consist of a system design that includes requirements analysis and [5] UML modeling comprising Use Case Diagrams, Activity Diagrams, Sequence Diagrams, and Entity Relationship Diagrams (ERD), as well as user interface design. The proposed system integrates QR Codes as unique book identifiers and automatic notifications as book return reminders. The resulting design is expected to serve as a foundation for the future development and implementation of a more effective and structured digital library system
Analisis Dan Desain Sistem Informasi Penjualan Berbasis Web Menggunakan Metode Prototype Muhammad Ikhsan Hafidz; Heru Sutejo; Inggrid Sheila Putri; Vigo Pahabol; Dimi Kogoya; Leth Kobak; Fredy R Molama
Tamilis Synex: Multidimensional Collaboration Vol. 4 No. 03 (2026): Tamilis Synex
Publisher : CV Edujavare Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70610/tls.v4i03.1414

Abstract

The rapid advancement of information technology has encouraged businesses to adopt digital solutions to improve operational efficiency and service quality. In the culinary sector, many small-scale food businesses still rely on manual sales processes, resulting in transaction recording errors, inefficient data management, and delays in customer service. This study aims to design a web-based yellow rice (nasi kuning) sales information system using the Prototype development method. The research method consists of five stages: requirements identification, prototype development, prototype evaluation, prototype refinement, and final system implementation. Data were collected through observation and interviews to identify user requirements and existing business process challenges. The proposed system is designed to provide essential functionalities, including administrator authentication, menu management, online ordering, transaction processing, customer management, and sales reporting. Unified Modeling Language (UML) diagrams, including use case, activity, and class diagrams, were utilized to model system requirements and workflows. The results of this study produce a comprehensive web-based sales system design that facilitates online food ordering, improves transaction management, and supports more structured sales data processing. The system is expected to enhance operational effectiveness, improve service quality, and provide greater convenience for both business owners and customers in managing and conducting sales transactions
Analisis dan Desain Sistem Informasi Inventory Berbasis Web Menggunakan Metode Waterfall (Studi Kasus: Gama Studio Coffeeshop Jayapura) Azra Nayla Istiazah; Heru Sutejo; Anisa Dwi Lestari
Tamilis Synex: Multidimensional Collaboration Vol. 4 No. 03 (2026): Tamilis Synex
Publisher : CV Edujavare Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70610/tls.v4i03.1426

Abstract

Effective inventory management is an important factor in maintaining the smooth operation of a business, including Gama Studio Coffeeshop Jayapura Papua. Currently, the process of recording inventory at Gama Studio Coffeeshop is still done manually using notebooks, which has the potential to cause recording errors, delays in stock information, and the risk of data loss. This study aims to design a web-based inventory system that can help the inventory management process more effectively and efficiently. The system development method used is Waterfall, which consists of the stages of needs analysis, system design, implementation, testing, and maintenance. Data collection was carried out through observation, interviews, and literature studies. The system design uses Use Case Diagrams, Activity Diagrams, and Class Diagrams as the basis for system development. The results of the study show that the designed web-based inventory system can facilitate admins in managing item data, supplier data, incoming goods transactions, outgoing goods transactions, and stock reports more quickly and accurately. This system is expected to minimize manual recording errors, improve operational efficiency, and support better decision-making in inventory management.
OPTIMASI KEUNTUNGAN PENJUALAN MINUMAN MENGGUNAKAN PROGRAM LINEAR METODE GRAFIK (Studi Kasus: Kantin Kampus USN Papua) Nabila Andini Putri; Heru Sutejo, Jessica Salzabilla Wayoi, Nurlinda, Habel Kapani, Yanpit Rumbiak, Noak Rematobi
Jurnal Ekonomi dan Bisnis Vol. 4 No. 2 (2026): Jurnal Ekonomi dan Bisnis (Jebi)
Publisher : CV. Adiba Aisha Amira

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.21157264

Abstract

This research aims to optimize the daily profit of the USN Canteen by determining the most effective sales combination of its two best-selling instant beverage products, namely Jasjus and Good Day Coffee. The main problem faced by the canteen management is the reliance on conventional intuition in daily production planning, which often results in stock shortages or inefficient use of resources due to operational constraints such as raw material availability, service time, and production capacity. The methodology applied in this study is quantitative operational research using the Linear Programming approach, which is specifically solved through the Graphical Method, an optimization technique suitable for problems involving two decision variables. The results of the graphical analysis successfully transform operational constraints into linear mathematical inequalities, forming a feasible solution region. The optimal corner point obtained from the analysis indicates the most appropriate combination of Jasjus (x) and Good Day Coffee (y) to maximize daily profit. In conclusion, the implementation of this mathematical model enables canteen management to shift from an intuition-based approach to a data-driven decision-making strategy, thereby improving daily profit planning and operational efficiency.
PENERAPAN METODE TRANSPORTASI NORTH WEST CORNER TERHADAP OPTIMALISASI DISTRIBUSI LAYANAN MAXIM CAR Yusuf Wasanggai; Heru Sutejo; Rosana Deda; Heni Murib; Febrian Baru
Jurnal Ekonomi dan Bisnis Vol. 4 No. 2 (2026): Jurnal Ekonomi dan Bisnis (Jebi)
Publisher : CV. Adiba Aisha Amira

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.21157283

Abstract

This Study Aims To Analyze The Optimization Of Maxim Car Service Distribution In The Areas Of Waena, Abepura, And Entrop Using The North West Corner Method. This Method Was Used To Determine A More Efficient Service Distribution Pattern Based On The Balance Between Supply And Demand In Each Operational Area. The Research Was Conducted By Collecting Data On Driver Capacity And Customer Service Demand, Which Were Then Processed Using QM For Windows. The Result Showed That The Implemention Of North West Corner Method Was Able To Produce A More Optimal Service Distribution Allocation With A Total Distribution Cost Of Rp 5,320,000 Over 24 Operational Hours. In Addition, This Method Helped Reduce Imbalances In Service Distribution, Improve Operational Efficiency, And Simplify Decision Making Related Tpoo Allocation Of Online Transportasion  Service. Therefore , The North West Corrner Methodf Can Be Considered  Ann Effective Solution For Optimizing Online Trasportasi Service Distribution, Particulary For Maxim Car Service In Jayapura City
Co-Authors Abidondifu, Yonas Abigael Yarangga Abraham Victor Patrick Ohoiwutun Aderiani Wahyuti Adi Israel Willhelm Coendrad Rontgen Peday Agata Febrionia Yunita Dadus Ajenkris Y Kungkung Ajenkris Y Kungkung Ajenkris Yanto Kungkung Alan Fonataba Aldo Yunus Lazarus Sagas Satia Aldo Yunus Lazarus Satia Alfred Dude Alfred Tarquo Alo, Fenny Girik Alyah Amri Amelia Rumaropen Ananda Nayla Andi Muhammad A. I. H Andre Metaloy Anggi Sukmawati Anggreini, Novita Anisa Dwi Lestari Aprilia Elisabeth Wabiser Apriono, Apriono Ardan M. Mahajana Arief Dwi Ramadhan Arthur Tuhumena Asludin Azami Astika Ramadani Astrin Aprilia Umasugi Atius Mallo Avif Setyawan Azra Nayla Istiazah Bahar, Dimas Adhitya Berliana Elphin Asmuruf Bernadus Yeuw Beti costantina Bonay Beto Ayun Brendly R. Rakian Brigita Griselda Thomas Carolina Cetrin Yunike Imbiri Carslen Charles Sesera Isawa Chaves Hamong Christian Renaldy L Christiani Rianto Lahutung Cintami A. Loak Cristina Marta Wabiser Daniel Bienfield Manahan Siahaan Daniel Bienfield Manahan Siahaan Daniel Bienfield Manahan Siahaan Daniel H. R. O. Haay Darlina Daud Matiseray David Oni Apaseray David Oni Apaseray, Zulfahmi AS, Muhammad Akbar Maulana de Queljoe, Desy Akwita Desy Akwita de Queljoe Dhea Firda Y Arsyad Didaktus Baptista Kluman Didaktus Baptista Kluman Dimi Kogoya Dina A M Hombore Dina Antonia Hombore Dwi Andiyani Dwi Andiyani Edwin Efina M. Aiboi Elia Mando Wanggai Ella Natalia Kogoya Elvin Suberjun Elvira V. Waimbo Enjel Bella Janet Maruapey Esau Dude Esau Dude Estevina Carolina Bagre Estevina Carolina Bagre Falerina Gita Falentina Falerina Gita Falentina Farida Fathir Adman Fatimah Azzahra Fauzia R Lessy Fauziah Humairoh Febrian Baru Febrian Ray Gere SW Fernando Yakadewa Ferriwunas Fheisyach Artianshal Karubun Fhesiyach Arthiansal Karubun Fiqram Putra Pratama Firminus R. Rhandy Fredy R Molama Frialin Gracia Kadiwaru Gabriel Yohan Yoseph Wabdaron Gabriel Yohan Yoseph Wabdaron Gerda Malanesia Bosway Ghina Tripasha Ghina Tripasha Gladis Dominica N Gladis Dominika Ngaderman Gonzales Henpaul Marlissa Grace E I Gwijangge Gracella B Paiki Gracella Bakarbesy Paiki Gracella Bakarbresy Paiki Gregorius Anzelino Wijaya Gregorius Anzelino Wijaya Grisye F Silahooy Grisye Silahooy Hajratul Aswat Hardiana Hazrin Armehzan Helena Babaut Helena Babut Helson Matuan Helson Matuan Heni Murib Herlina Lenora Yowei Herlina Yowey Hizkia I Rengkung Husaini, Muammar Husen Abdillah Ibrakin Kean Ida Margareta Resiwangge Ilmalasari Fitri, Diza Imanuel Nahum Ketjeway Ina Maria Keru Koridama Indra Rajsya Inggrid Sheila Putri Intan Darwis Intan Darwis Inwi Wilamnak Irwanus Isai Iryanti T A Fernandes Iryanti T.A. Fernandez Isaac Samon Sabra J. Anggun Rumboirusi J.Anggun Rumboirusi Jayando Haloho Jenifer Sirami Jeniver F Sirami Jeniver F Sirami Jered Imanuel Wanda Jered Imanuel Wanda Jeremi Y Hababuk Jerom Nawu Jessica Dumpel Jibril Olivia Arera Joi Rosalina Raweyai Joi Rosalina Raweyai Joi Rosalina Raweyai Jolio Up Judea H. B. Maitimu Julio Alexsander Ap Julio Alexsander Ap Julius Rifaldo Putra Jurniarti Sarmalina Duwiri Karolina Fatagur Kartensia F Rumboirusi Kartensia Firli Rumboirusi Khaerunnisa Khaerunnisa Khaerunnisa Khaerunnisa, Khaerunnisa Khoiratul Masyruah Kiswanto, Rahmat Haryadi Klemensia Dina I.I Solo Klemensia Dina Irma Indriani Solo Kymi Rian Febrian Lahallo, Jim Lamberth Anthoni Yores Rumbino Leth Kobak Lidia S. Waromi Linarti Lintang Harya Tirta Sugara Lisa Lisa Lisa Lisa, Lisa Live Tong Lodi Tekam Loneta Aruri Ludovikuss Ngarung Ludovikuss Ngarung Lusiana Marwa M. Yusuf H.S Mahrestu Wirayuda Maimuna Wailissa Marcella Putri Pentury Marcella Putri Pentury Maria Loisa Nangguar Maria Monalisa Bebari Maria Monalisa Gloria Bebari Maria Tirsa Daber Mariani Regina Sisilia Lengkey Marselo M. Masengi Marto E. Madu Matatula, Frengklin Melki Kayame Melki Sendoni Wondiwoi Melki Sendoni Wondiwoi Merlina Nangguar Meylisa Kurdita Micho Wandik Mikaelda Regina Yagoyamu Mince Mentaneway Mira Elopere Miraclely C. Runtuwene Mona Angelika Ngaderman Morinda Rumboirusi Muh Rajab S Yaslin Muh. Arya Rafandi Muh. Nur Aksan Muh.Novran Ramjani Rumkorem Muhamad Kurniawan Muhammad Akbar Muhammad Ariq Syam Muhammad Ikhsan Hafidz Muhammad Nur Ismail Muhammad Oky Risaldi Muhammad Risman Muhammad T Hidayah Muzamil Nabila Andini Putri Nabila Andini Putri Nadia Nadia Nadia Nahas Giwop Nahema Yaroseray Natalia Betty Ansanay Nataniel T A Mamu Nawang Shabella Iriani Nazwa Kafka Nafiza Nelice Kogoya Noberti Chandra Putra Tambay Nourman Satya Irjanto Nur Atya Nur Atya Nurhaeni Irianti Nurhidayah Nurhidayah Nurhidayah Nurlinda Nurlinda Okky A. S. Kallem Patmawati Hasan Petronela Kimber Piter Logo Prasetya, Andika Hero Prilly Andianny Masuwara Putra Emanuel Pali Putra Imanuel Pali Raditya Zoe Arkhana Rafael J Ayhuan Rafli Muhammad. F Rafli Muhammad. F, Piter Logo, Vasilli Z. P. Jafil, Siors Salak, Ahmad D. A. Ramli Rahmat Hidayat Rahmat Hidayat Rahul Febriansyah Rahul Febriansyah Ramdha Asnani Rangga Ardinsa Putra Rangga Ardinsa Putra Raynal di Richardin W Rendy Dagolemba Totombu Resna Herawan Revol Raiwaki Rhenolds Woisiri Fonataba Rianner Anjutami Rina Hawase Ripan Wenda risaldi, risaldi Riski Sulobua Rizka Amelia Putri Rizqiyah Robaha, Paskalino Melgibson Ronald Jesus Lauterboom Ronald Kawena Rosana Deda Rosia Karubaba Rosita Nangguar Ruth Muriolkosu Ryan Aditya Ryandika R Saputra Samanta Deliana Samantha Deliana Sartika Situmorang Sely Jowey Semuel Krimadi Sharon Telvie Kondy Sherly Jayanti Sherly Jayanti Shinta Dewi Quen Sicilia Ristamar Ulim Siors Salak Siswahyudianto Sithi F Yandedai Sithi Fardiani Yandedai Siti Aisha Irman Siti Fatima Wagab Siti Nur Safaah Sultan Abyzet Susi Hendartie Susi Hendartie Syafa’at Rahmadhani S. Syakila Putri Ananda T. Wicaksono, Satria Talitakum Marwan Tatuhey, Emy Lenora Tegar W Prakoso Thamrin, Rosiyati M.H Thomas O Ansanay Tinglizhau Tirsa Meirah Pontoh Tirza Meira Pontoh Tita Trinita M. Merani Triana Papilaja Utari, Yanik Vasilli Z. P. Jafil Videl Kobak Vigo Pahabol Wafiq Azizah Tuahuns Wama Albertho Povay Wardah Sal Sabillah Wedes F Iwanggin Wedes F.A. Iwanggin Welpison Jr. Wonerengga Welpison Jr. Wonerengga Yahya Wrait Yanik Utari Yanti Magrice Jewun Yawan Saroi Yeperi Giban Yohanes A S Dimomonmau Yohanes Tandipanga Yohosua Daniel Werimon Yopinus Gadur Yoram Lambres Umpain Yusuf Patey Yusuf Selius Patey Yusuf Wasanggai Zaskia Aline Syahfitri Zwingly Isak rumaseuw