Claim Missing Document
Check
Articles

Analisis Sentimen Ulasan Pengguna Aplikasi Shopee Indonesia Menggunakan Metode Naive Bayes Muh.Novran Ramjani Rumkorem; Abigael Yarangga; Klemensia Dina Irma Indriani Solo; Wedes F.A. Iwanggin; Zwingly Isak Rumaseuw; Tinglizhau; Gracella Bakarbresy Paiki; Riski Sulobua; Heru Sutejo
Tamilis Synex: Multidimensional Collaboration Analysis of the Influence of Performance on Company Value and Purchasing Decisions in the Digital Er
Publisher : CV Edujavare Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70610/tls.v2i1.627

Abstract

Penelitian ini bertujuan untuk menganalisis sentimen ulasan pengguna aplikasi Shopee Indonesia dengan menggunakan metode Naive Bayes. Data ulasan pengguna yang diperoleh kemudian diproses menggunakan RapidMiner untuk membangun model klasifikasi sentimen. Berdasarkan hasil pengujian menggunakan confusion matrix, model yang dihasilkan memperoleh tingkat akurasi sebesar 74.67%. Dalam analisis sentimen positif, model mencatatkan nilai recall sebesar 25.19% dan precision sebesar 82.93%, menunjukkan bahwa meskipun model memiliki ketepatan yang tinggi dalam memprediksi sentimen positif, kemampuannya dalam mendeteksi sentimen positif secara keseluruhan masih rendah. Sebaliknya, untuk sentimen negatif, model memperoleh recall sebesar 94.21% dan precision sebesar 53.02%, yang menunjukkan bahwa model lebih efektif dalam mendeteksi sentimen negatif, meskipun ketepatannya lebih rendah dibandingkan dengan sentimen positif. Hasil ini menggambarkan bahwa meskipun model memiliki kelebihan dalam mengidentifikasi sentimen negatif, masih terdapat kelemahan dalam memprediksi sebagian besar data sentimen positif. Penelitian ini memberikan wawasan penting terkait potensi dan tantangan dalam menerapkan metode Naive Bayes untuk analisis sentimen ulasan pengguna aplikasi e-commerce.
PENERAPAN FINITE STATE AUTOMATA TERHADAPPROSES PENDAFTARAN PRAKTIKUM PADA JURUSAN TEKNIK INFORMATIKA Muhammad Oky Risaldi; Febrian Ray Gere SW; Indra Rajsya; Heru Sutejo
Tamilis Synex: Multidimensional Collaboration innovation in the digital era
Publisher : CV Edujavare Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70610/tls.v2i1.630

Abstract

Finite State Automata (FSA) is an abstract machine derived from formal language theory, widely applied in computing for validating structured processes. This study explores the application of FSA in automating the practicum registration system for Informatics Engineering students at Universitas Sepuluh Nopember Papua. The registration process previously encountered challenges, such as schedule conflicts between practicum and lectures, overcapacity of classes, and data input errors, which hindered academic activities. To address these issues, FSA was employed to ensure automated validation at each step of the registration process. The system operates through a series of states, beginning from course selection to practicum schedule validation, shift assignment, and confirmation. The FSA model designed consists of five states: initial state, course selection state, validation state, shift selection state, and confirmation state. If an error occurs, the system provides feedback and redirects students to correct their input. Using a structured approach, this model prevents scheduling conflicts and ensures data consistency. The methodology integrates observation, interviews, and literature reviews to identify problems and design the FSA model. The system was implemented using a programming framework, validated through simulations using both valid and invalid registration data. Results demonstrated that the system effectively minimized errors, improved the accuracy of practicum registration, and streamlined the process. In conclusion, the implementation of FSA significantly enhances the efficiency and organization of practicum registration, providing automated feedback and ensuring students successfully complete their registrations without conflicts or input errors.
Implementasi Metode Klasifikasi Naïve Bayes Untuk Memprediksi Kemenangan Klub Bundesliga Pada Pekan ke-15 Menggunakan Rapidminer Wama Albertho Povay; Nurhaeni Irianti; Julius Rifaldo Putra; Lodi Tekam; Beto Ayun; Heru Sutejo
Tamilis Synex: Multidimensional Collaboration innovation in the digital era
Publisher : CV Edujavare Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70610/tls.v2i1.693

Abstract

Prediksi hasil kompetisi olahraga menjadi salah satu fokus penelitian yang menarik, khususnya dengan penerapan teknologi pembelajaran mesin. Studi ini bertujuan mengaplikasikan metode klasifikasi Naïve Bayes untuk memprediksi jumlah kemenangan klub-klub Bundesliga pada pekan ke 15 musim 2024-2025 dengan memanfaatkan aplikasi RapidMiner. Data yang dianalisis mencakup tabel klasemen Bundesliga musim berjalan serta data hasil pertandingan pekan ke 13 dan 14. Penelitian ini melibatkan beberapa tahapan utama, seperti pengolahan data, ekstraksi fitur, dan pelatihan model melalui RapidMiner. Hasil menunjukkan bahwa metode ini mampu mengidentifikasi pola performa tim secara efektif dan memberikan hasil prediksi dengan akurasi yang baik. Dengan demikian, penelitian ini diharapkan dapat berkontribusi dalam pengembangan sistem prediksi berbasis data untuk mendukung analisis di bidang olahraga.
Penerapan Algoritma Naïve Bayes untuk Klasifikasi Prediksi Kelulusan SKD Penerimaan CPNS di Kabupaten Keerom Iryanti T A Fernandes; Sithi F Yandedai; Inwi wilamnak; Helena Babaut; Karolina Fatagur; Heru Sutejo
Tamilis Synex: Multidimensional Collaboration Analysis of the Influence of Performance on Company Value and Purchasing Decisions in the Digital Er
Publisher : CV Edujavare Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70610/tls.v2i1.700

Abstract

Proses seleksi perserta didik baru di Institusi Anak Bangsa, Kabupaten Keerom, sering kali menghadapi tantangan dalam mempertahankan objektivitas dalam pengambilan keputusan. Penelitian ini bertujuan untuk mengembangkan suatu model prediksi yang dapat membantu Institusi dalam memilih perserta didik baru yang memiliki potensi yang baik. Dengan memanfaatkan data historis penerimaan didik baru serta menerapkan teknik analisis data yang relevan, penelitian ini berupaya untuk membangun model prediksi yang akurat. Diharapkan, hasil penelitian ini dapat meningkatkan efektivitas proses seleksi, meminimalkan kesalahan dalam pengambilan keputusan, dan memberikan kontribusi terhadap peningkatan kualitas pendidikan di Institusi.
Implementasi Metode Least Cost Terhadap Efisiensi biaya dan Jarak Pengantaran Transportasi Berbasis QM For Windows (Studi Kasus: Maxim Motor Kota Jayapura) Yohanes Tandipanga; Heru Sutejo; Fathir Adman; Fernando Yakadewa; Chaves Hamong; Ruth Muriolkosu
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.v4i03.1438

Abstract

Sistem manajemen transportasi yang efisien sangat krusial bagi pengemudi ojek online untuk meminimalkan biaya operasional dan memaksimalkan pendapatan harian. Penelitian ini bertujuan untuk menganalisis dan mengoptimalkan alokasi perjalanan seorang pengemudi ojek online Maxim di Kota Jayapura menggunakan metode Least Cost. Pendekatan studi kasus kuantitatif digunakan dalam penelitian ini, dengan mengumpulkan data primer melalui wawancara langsung mengenai kapasitas supply, demand harian, dan biaya perjalanan di beberapa rute. Data tersebut disusun ke dalam matriks transportasi seimbang dan dihitung secara manual, yang kemudian diverifikasi secara komputasi menggunakan perangkat lunak QM for Windows. Hasil penelitian menunjukkan bahwa pola distribusi optimal langsung tercapai pada iterasi pertama dengan total biaya operasional minimum sebesar Rp951.600. Metode Least Cost secara efektif memprioritaskan rute dengan biaya satuan terendah, khususnya mengalokasikan 23 unit dari Abe ke Tanah Hitam dan 25 unit dari Taman Imbi ke Japut, serta berhasil mengeliminasi rute berbiaya tinggi seperti Kamkey ke Japut. Seluruh nilai biaya marginal yang positif mengonfirmasi bahwa tata letak pengiriman akhir telah teroptimasi sepenuhnya. Penelitian ini menyimpulkan bahwa penerapan metode Least Cost memberikan alternatif pengambilan keputusan yang praktis dan sangat efisien bagi pengemudi online untuk menekan pengeluaran bahan bakar dan waktu, sehingga meningkatkan keuntungan operasional mereka secara keseluruhan.
Analisis dan Desain Sistem Informasi Pemesanan Menu Makanan Berbasis Web Menggunakan Model Waterfall (Studi Kasus: Kantin Universitas Muhammadiyah Papua) Lintang Harya Tirta Sugara; Heru Sutejo; Edwin; Alfred Tarquo
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.v4i03.1439

Abstract

The process of providing menu information, product prices, availability, and ordering services at the Muhammadiyah University of Papua Canteen is still carried out manually, causing difficulties for customers in obtaining information and placing orders efficiently. This study aims to design a web-based online ordering system that provides menu information, prices, and product availability. The research employed the Research and Development (R&D) method with the SDLC Waterfall model, limited to the system design stage. Data were collected through observation, interviews, and documentation. The design process included requirements analysis, UML modeling, database design, and user interface mockups. The results of this study are a system design that enables customers to access product information and place orders online, while administrators can manage products, stock, and orders through an integrated platform. The proposed design is expected to support more effective and efficient canteen services at Muhammadiyah University of Papua.
Analisis Sistem Antrian Model M/M/1 pada Kasir Lazzato Chicken & Burger Berbasis QM For Windows Hizkia I Rengkung; Heru Sutejo; Tegar W Prakoso; Yohanes A S Dimomonmau; Resna Herawan
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.v4i03.1440

Abstract

Long queues during peak hours often become operational constraints for the fast-food industry, impacting customer satisfaction due to extended waiting times. This study aims to evaluate the performance of the single-cashier service system at Lazzato Chicken & Burger Abepura and to formulate operational optimization and cost efficiency strategies. The method applied is a quantitative approach using single-channel single-phase queueing theory or the M/M/1 model, with data processing and computation assisted by QM for Windows software. The results indicate that the service system operates in a steady-state condition, with an arrival rate (λ) of 10 customers/hour and a service rate (µ) of 15 customers/hour. The cashier utility rate reaches 67% with an idle time of 33%, yet an average queue length of 1.33 customers with a waiting time in queue of 8 minutes still occurs intensively during peak hours. From an economic perspective, the total operational system cost is IDR 60,000/hour, heavily dominated by customer waiting costs at IDR 40,000/hour. In conclusion, expanding to a new physical cashier is inefficient as it triggers fixed labor cost waste outside peak hours. Management is advised to optimize the existing single cashier through a field-staff-assisted pre-ordering mechanism during peak hours, upgrading to a dynamic QRIS infrastructure integrated with POS machines, and implementing ready-to-serve menu engineering.
Penerapan Metode Vogel's Approximation Method (VAM) dalam Optimasi Biaya Distribusi Jasa Penyewaan PlayStation Portabel JapraPS Marselo M. Masengi; Heru Sutejo; Muhamad Kurniawan; Ripan Wenda; Andi Muhammad A. I. H; Christian Renaldy L
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.v4i03.1442

Abstract

Distribution is an important aspect of the operational activities of a portable PlayStation rental business because it directly affects operational costs and the quality of customer service. JapraPS, as a portable PlayStation rental business, serves customers across several areas in Jayapura City, each with different distribution requirements. This study aims to optimize the distribution costs of JapraPS's portable PlayStation rental services using the Vogel's Approximation Method (VAM). The research data were obtained from JapraPS's portable PlayStation rental transaction records during the May 2026 period, which include supply, demand, and distribution cost data for each service area. The VAM method was employed to determine the distribution allocation that minimizes costs while satisfying all customer demands. The results indicate that the optimal distribution allocation is achieved by distributing 36 transactions from Bibsy Warehouse to the Kotaraja area, 27 transactions from JapraPS Warehouse to the Entrop area, 18 transactions from Bibsy Warehouse to the Jayapura area, and 28 transactions from JapraPS Warehouse to the Jayapura area. Based on the calculation results, the minimum total distribution cost obtained during the study period was IDR 4,190,000. These findings demonstrate that the Vogel's Approximation Method can be utilized as a decision-support tool to optimize the distribution of portable PlayStation rental services, thereby reducing operational costs more efficiently.
Optimasi Keuntungan Penjualan Stempel Menggunakan Program Linier Metode Grafik Berbasis QM for Windows Muhammad T Hidayah; Heru Sutejo; Ryandika R Saputra; Thomas O Ansanay; Fauzia R Lessy; Nataniel T A Mamu
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.v4i03.1443

Abstract

Micro, Small, and Medium Enterprises (MSMEs) often face challenges in determining the optimal production quantity due to their limited resources. One such problem is experienced by Cendrawasih Art Printing, which produces stamps and signboards under constraints related to raw materials and production time. This study aims to optimize production profits by applying the Linear Programming method using a graphical approach supported by QM for Windows software. The research data were obtained through direct observation and interviews with the business owner to collect information regarding profit per unit of product, raw material requirements, and available working time capacity. The decision variables in this study consist of the production quantities of stamps (X₁) and signboards (X₂), with the objective function aimed at maximizing profit subject to various available resource constraints. The results indicate that the optimal production combination is 20 units of stamps and 5 units of signboards per week, yielding a maximum profit of IDR 950,000. The calculations using the graphical method and their verification through QM for Windows produced consistent solutions, thereby confirming the accuracy of the model employed. Sensitivity analysis further reveals that the availability of stamp handles and production time are the primary constraints affecting optimal profit. Therefore, the Linear Programming method using a graphical approach can serve as an effective decision-support tool for MSME owners in determining efficient production strategies and maximizing business profits.
Optimalisasi Pembiayaan Transportasi Distribusi Barang Menggunakan Metode North West Corner (Studi Kasus: Gudang Toko Senyum 5000) Brendly R. Rakian; Heru Sutejo; Okky A. S. Kallem; Daniel H. R. O. Haay; Judea H. B. Maitimu; Miraclely C. Runtuwene
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.v4i03.1452

Abstract

Distribusi barang yang efisien menjadi faktor kunci dalam profitabilitas perusahaan, terutama pada sektor logistik dengan biaya pengiriman fluktuatif. Penelitian ini bertujuan menerapkan Metode Transportasi North West Corner (NWC) untuk mengoptimalkan biaya distribusi barang elektronik di Gudang Senyum 5000 yang melayani Toko Cabang Doyo dan Toko Borobudur. Metode yang digunakan adalah pendekatan kuantitatif deskriptif analitis dengan menerapkan algoritma NWC untuk menentukan solusi layak awal pada masalah transportasi seimbang. Data dikumpulkan melalui wawancara terstruktur, observasi lapangan, dan dokumentasi manifest pengiriman. Hasil penelitian menunjukkan metode NWC menghasilkan total biaya distribusi sebesar Rp 35.000.000 untuk pengiriman 100 unit per bulan. Alokasi yang dihasilkan terdiri dari 50 unit dari Gudang Senyum 5000 ke Toko Cabang Doyo, 25 unit dari Gudang Senyum 5000 ke Toko Borobudur, dan 25 unit dari Gudang Lain ke Toko Borobudur. Analisis komparatif dengan biaya aktual (estimasi Rp 40.600.000) menunjukkan efisiensi biaya sebesar Rp 5.600.000 atau 13,79% per bulan. Kesimpulan penelitian ini adalah metode NWC efektif menghasilkan solusi layak awal yang lebih hemat, namun masih memerlukan uji optimalitas lanjutan menggunakan metode Stepping Stone atau MODI untuk mencapai solusi optimal. Saran penelitian selanjutnya adalah melakukan uji optimalitas dan membandingkan NWC dengan metode lain seperti Least Cost Method atau Vogel's Approximation Method.
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