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All Journal International Journal of Informatics and Communication Technology (IJ-ICT) ELKHA : Jurnal Teknik Elektro Journal The Winners Agora Jurnal Promosi Pendidikan Ekonomi Jurnal Informatika dan Teknik Elektro Terapan Equilibrium Jurnal Komunikasi Forum Ekonomi : Jurnal Ekonomi, Manajemen dan Akuntansi Indonesian Journal of Rheumatology SEIKO : Journal of Management & Business JURIKOM (Jurnal Riset Komputer) Jurnal Maksipreneur: Manajemen, Koperasi, dan Entrepreneurship Ekonomi dan Bisnis Jurnal Biomedika dan Kesehatan Jusikom: Jurnal Sistem Informasi Ilmu Komputer Prosiding Temu Profesi Tahunan PERHAPI Syntax Idea Prosiding National Conference for Community Service Project STUDI PELAKSANAAN SELFMEDICATION PADA PENDERITA DIARE BERDASARKAN TINGKAT PENGETAHUAN MASYARAKAT PESISIR KECAMATAN SOROPIA KABUPATEN KONAWE Jurnal Sains, Teknologi, Urban, Perancangan, Arsitektur (Stupa) Industrika : Jurnal Ilmiah Teknik Industri Da'watuna: Journal of Communication and Islamic Broadcasting Implementasi Manajemen & Kewirausahaan Journal Of World Science eCo-Fin Jurnal Locus Penelitian dan Pengabdian Makara Journal of Technology Publikasi Riset Mahasiswa Manajemen Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) Journal of Business Studies and Management Review Journal Community Service Consortium Jurnal Hukum dan HAM Wara Sains Social Engagement: Jurnal Pengabdian Kepada Masyarakat J-Sil (Jurnal Teknik Sipil dan Lingkungan) Journal of Health Education Law Information and Humanities
Vincent Vincent, Vincent
Binus University
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Transportation Other

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Kasus Langka Karsinoma Sarcomatoid Kandung kemih dan Batu Kandung kemih pada pria berusia 58 tahun : Lapran Kasus Vincent, Vincent; Mikha, Mikha; Alpendri, Aries
Jurnal Biomedika dan Kesehatan Vol 6 No 3 (2023)
Publisher : Fakultas Kedokteran Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18051/JBiomedKes.2023.v6.340-346

Abstract

BACKGROUND: Sarcomatoid bladder carcinoma is scarcely found, with most cases of bladder carcinoma due to bladder stone as a risk factor consisting of squamous cell carcinoma. Only 221 cases were reported between 1973 and 2004 of sarcomatoid bladder cancer.  Therefore, this case report brings out sarcomatoid bladder carcinoma and its clinical relevance. CASE DESCRIPTION: A 58 years old Indonesian man experienced gross hematuria for 3 months, and thus finally brought to the Emergency Room (ER) where he was initiated urinary catheter and given intravenous (IV) fluid along with analgesic parenterally. Emergency abdominal radiograph assessment and blood test were made. Abdominal radiograph assessment suggests a 6 x 6 cm opacity in the bladder and several urolithiasis in the pelvic cavity. Ureum and creatinine increased in the blood test procedure. Based on the characteristic appearance and radiological findings, a diagnosis of vesicolithiasis was made. Following the diagnosis, the patient was urgently operated on (Open vesicolithotomy), and during the stone removal, there was a tangled polyp-like mass found buried underneath the stone. Histological findings of mass and surrounding lymph nodes were made and histopathologically stated the mass was sarcomatoid carcinoma of the bladder and it had metastated to lymph node and pelvic region. CONCLUSION: Considering hematuria in urolithiasis is frequent, the clinician should be aware of any tumor findings especially when the hematuria is massive thus emergency urolithotomy should be considered immediately.
Organizational Citizenship Behavior in Relation to Job Satisfaction among Employees of Karya Anugerah Education Foundation Hartini, Sri; Vincent, Vincent; Tanaka, Valencia; Monica Meyer, Sharon; Ngayomi Yudha Wastuti, Sri
Journal of World Science Vol. 2 No. 11 (2023): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v2i11.488

Abstract

This research aims to determine and analyze the relationship between job satisfaction and Organizational Citizenship Behavior (OCB). This quantitative method research involved a sample of 95 employees of the Karya Anugerah Education Foundation from a total population of 127 employees using the Isaac and Michael formula with an error rate of 5%. The purposive sampling method was used to obtain data from this analysis. In this research, the Pearson product-moment correlation test and other statistical analyzes were carried out using SPSS for Windows version 25.0. There is a correlation coefficient of 0.621 and Sig 0.000 with a positive value. Where there is a correlation coefficient of 0.621 and Sig 0.000 with a positive value. The research hypothesis shows that there is a positive relationship between these two variables. The assumption test shows that OCB is greater when the level of job satisfaction is higher. Conversely, the lower the level of job satisfaction, the lower the OCB.
PENGARUH CUSTOMER SATISFACTION, TRUST DAN CORPORATE REPUTATION DALAM MENINGKATKAN CUSTOMER LOYALITY POLYMER PADA PT. INTIPLAST KEMINDO PRATAMA Chandika, Wilkinson; Vincent, Vincent; Panggabean, Maya Sabirina; Sagala, Maduma Sari
Jurnal Ilmiah Manajemen, Ekonomi, & Akuntansi (MEA) Vol 8 No 1 (2024): Edisi Januari - April 2024
Publisher : LPPM STIE Muhammadiah Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31955/mea.v8i1.3813

Abstract

Tujuan penelitian ini untuk menguji pengaruh Customer Satisfaction, Trust dan Corporate Reputation Dalam Meningkatkan Customer Loyality Polymer Pada PT. Intiplast Kemindo Pratama. Penelitian ini merupakan penelitian deskriptif. Populasi penelitian ini adalah pelanggan PT. Intiplast Kemindo Pratama berjumlah 116 orang. Sampel dalam penelitian ini adalah 90 orang dengan rumus slovin dan teknik sampling yaitu simple random sampling. Metode statistik adalah analisis regresi linear berganda. Hasil penelitian menunjukkan bahwa secara parsial menyatakan Customer Satisfaction berpengaruh positif terhadap Customer Loyality, karena nilai thitung sebesar 3,862 > ttabel sebesar 1,98761, Trust berpengaruh positif terhadap Customer Loyality, karena nilai thitung sebesar 4,048 > ttabel sebesar 1,98761 dan Corporate Reputation berpengaruh positif terhadap Customer Loyality, karena nilai thitung sebesar 2,886 > ttabel sebesar 1,98761. Dan juga secara simultan menyatakan Customer Satisfaction, Trust dan Corporate Reputation berpengaruh terhadap Customer Loyality, karena nilai Fhitung 76,474 > Ftabel 2,71. Besarnya koefisien determinasi membuktikan Customer Loyality cukup kuat dijelaskan Customer Satisfaction, Trust dan Corporate Reputation sebesar 71,8% dan sisanya 28,2% diterangkan variabel-variabel lain yang tidak ada di penelitian ini seperti promosi atau harga.
Menjelajahi Pengalaman Pengguna Dalam Aplikasi Pengiriman Makanan Seluler Di Batam Ningsih, Vivian Febri; Al Karan Caniago, Khafidh; Setiawan, Ericks; Vidella, Vania; Vincent, Vincent; Anjelica, Anjelica
Jurnal Locus Penelitian dan Pengabdian Vol. 3 No. 12 (2024): JURNAL LOCUS: Penelitian & Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v3i12.3664

Abstract

Penelitian ini berfokus pada pengalaman pengguna dalam aplikasi pengiriman makanan seluler di Batam. Perkembangan teknologi yang pesat telah mengubah cara konsumen memesan makanan, sehingga memunculkan kebutuhan untuk mengevaluasi kualitas layanan dan tingkat kepuasan pengguna. Tujuan dari penelitian ini adalah untuk menganalisis faktor-faktor yang memengaruhi kepuasan dan loyalitas pengguna terhadap aplikasi pengiriman makanan seluler. Metode yang digunakan adalah pendekatan kuantitatif dengan teknik pengumpulan data melalui kuesioner online. Sebanyak 380 responden yang merupakan pengguna aplikasi di Batam dilibatkan dalam penelitian ini. Data dianalisis menggunakan model persamaan struktural (SEM) untuk mengevaluasi hubungan antar variabel. Hasil penelitian menunjukkan bahwa kemudahan penggunaan, keandalan aplikasi, dan kualitas layanan memiliki pengaruh signifikan terhadap kepuasan pengguna. Selain itu, kepuasan pengguna berkontribusi secara langsung terhadap loyalitas mereka untuk terus menggunakan aplikasi. Penelitian ini memberikan implikasi praktis bagi pengembang aplikasi untuk meningkatkan pengalaman pengguna dengan fokus pada kemudahan navigasi, kecepatan layanan, dan kualitas interaksi. Dengan demikian, aplikasi pengiriman makanan dapat lebih memenuhi kebutuhan konsumen secara optimal.
PENINGKATAN BER PADA KANAL KOMUNIKASI HAPS DENGAN MENGGUNAKAN NOMA-MIMO Glaudira, Nadya; Vincent, Vincent
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 2 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i2.6509

Abstract

High Altitude Platform Station (HAPS) merupakan teknologi yang memanfaatkan lapisan stratosfer untuk menempatkan satu atau beberapa pesawat udara pada ketinggian 20 km dari permukaan bumi. Kemampuan HAPS yang paling menjanjikan yaitu mengamankan peran dalam generasi keempat (4G) dan konsep teknologi selanjutnya pada Generasi Kelima (5G) yaitu menyediakan throughput yang tinggi. Dengan menggabungkan kehandalan Non-Orthogonal Multiple Access (NOMA) yang merupakan teknik multiple access, saat ini tengah dilakukan penelitian seputar penerapannya pada sistem komunikasi 5G. Pada NOMA multiple user dapat dilayani pada waktu yang berbeda atau pada frekuensi yang berbeda secara bersamaan. Keunggulan penerapan NOMA pada sistem komunikasi 5G antara lain efisiensi dalam penggunaan spektrum frekuensi, meningkatkan kemudahan antar pengguna dan meningkatkan throughput untuk setiap pengguna. Dilengkapi dengan Multiple Input Multiple Output (MIMO) yang dikenal sebagai teknik serbaguna untuk meningkatkan kapasitas yang dapat dikombinasikan dengan berbagai teknik multiple access. Dengan menggunakan MIMO maka dapat dilakukan perbaikan BER (Bit Error Rate), mendapatkan trend yang lebih baik. Dengan nilai BER yang sama dapat menggunakan SNR yang lebih rendah. Pada paper ini, kami melakukan perbaikan BER menggunakan NOMA MIMO 2x2 pada HAPS dengan faktor k yang berbeda pada kanal rician. User 1 (Near User) mendapatkan 20%, User 2 (Far User) mendapatkan 80%. Untuk kinerja BER, terdapat kecenderungan semakin tinggi nilai k maka BER akan semakin baik dengan kecenderungan nilai yang diperoleh semakin menurun. Selain itu, kami juga melakukan plot data rate dan kami mendapatkan trend menurun seiring dengan meningkatnya nilai k dengan alokasi daya pada semua kondisi. 
Luxury Brand Perception, Social Influence, and Brand Personality to Predict Purchase Intention Keni, Keni; Teoh, Ai Ping; Vincent, Vincent; Sari, Wulan Purnama
Jurnal Komunikasi Vol. 14 No. 1 (2022): Jurnal Komunikasi
Publisher : Fakultas Ilmu Komunikasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jk.v14i1.11847

Abstract

The key purpose of this study is to investigate the relationships between luxury brand perception, social influence, and brand personality towards purchase intention. It has been increasingly important for every company to improve its customers’ purchase intention in order to maintain the existence of the company, especially in an increasingly competitive business environment. Hence, this study was conducted to examine whether luxury brand perception, social influence, and brand personality have a positive and significant impact on purchase intention. This study was descriptive research and was conducted by using the cross-sectional method. The population of this research was all Indonesian smartphone users, and the sampling frame was limited to smartphone users who live in Jakarta, whereas purposive sampling was conducted for the data collection from respondents. The data collection was conducted by distributing questionnaires to 100 respondents through the internet and this study used SmartPLS software version 3.2.7. for the data analysis. The result of this study showed that luxury brand perception, social influence and brand personality have a significant and positive impact towards purchase intention. Therefore, it is essential for smartphone companies to maintain their image as a luxury brand, observe and improve customers’ influence to the others about the brand, and also associate the brand’s personalities with customers in order to increase the customers’ purchase intention. Niat pembelian memiliki peran yang semakin penting untuk setiap perusahaan karena pada saat ini, menghasilkan penjualan bukan hanya bertujuan untuk memperoleh keuntungan, tetapi juga untuk mempertahankan keberadaan perusahaan, khususnya dari kondisi persaingan yang semakin meningkat. Tujuan utama penelitian ini adalah untuk meneliti hubungan yang terjadi diantara persepsi terhadap luxury brand, pengaruh sosial dan brand personality terhadap niat pembelian. Penelitian ini merupakan penelitian deskriptif dan dilakukan dengan menggunakan metode cross-sectional. Populasi pada penelitian ini adalah seluruh pengguna smartphone di Indonesia dan sample pada penelitian ini dibatasi pada pengguna smartphone yang berdomisili di Jakarta, dimana purposive sampling digunakan untuk mengumpulkan data dari responden. Pengumpulan data dilakukan dengan mendistribusikan kuesioner kepada 100 oorang responden melalui internet dan penelitian ini menggunakan perangkat lunak SmartPLS versi 3.2.7. untuk melakukan analisis data. Hasil penelitian ini menunjukkan bahwa persepsi terhadap luxury brand, pengaruh sosial dan brand personality memiliki pengaruh yang positif dan signifikan terhadap niat pembelian. Oleh sebab itu, merupakan sebuah hal yang penting bagi perusahaan smartphone untuk mengembangkan persepsi terhadap luxury brand, pengaruh sosial dan brand personality pelanggan untuk meningkatkan niat pembelian pelanggan.
Fungsi Hukum Acara Perdata Sebagai Sarana Perlindungan Hak Dalam Penyelesaian Sengketa Perdata di Pengadilan Itaar, Israel Gabriel; Hakim, Thaufiq Ar; Nainggolan, Jusup Aprillius; Abubakar, Farrel Reyhansyah; Arkananta, Muhammad Radhitya; Mota, Rafael Alfredo; Tumipa, Rafael Samuel; Vincent, Vincent; Ginting, Yuni Priskila; riza, rivan
Jurnal Hukum dan HAM Wara Sains Vol 4 No 03 (2025): Jurnal Hukum dan HAM Wara Sains
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/jhhws.v4i03.2867

Abstract

Hukum acara perdata memainkan peran yang sangat penting dalam memastikan perlindungan hak-hak dan penyelesaian sengketa yang adil, efisien, dan pasti dalam sistem peradilan. Penelitian ini bertujuan untuk menganalisis peran hukum acara perdata dalam proses penyelesaian sengketa, baik melalui litigasi maupun arbitrase. Metode yang digunakan adalah analisis deskriptif berdasarkan data sekunder berupa undang-undang dan peraturan serta literatur akademik. Hasil penelitian menunjukkan bahwa penerapan prinsip kesederhanaan, kecepatan, dan biaya rendah memainkan peran penting dalam efektivitas penyelesaian sengketa, termasuk melalui mediasi dan solusi alternatif seperti arbitrase. Selain itu, sinergi antara hakim dan advokat merupakan faktor kunci dalam menjaga kepastian hukum dan keadilan bagi para pihak. Studi kasus pelanggaran kontrak menunjukkan bahwa mekanisme prosedural yang tepat dapat memberikan pemulihan hak yang proporsional.
Direct Control Strategy using Polynomial Fuzzy-Based Adaptive Fractional Order PID Controller Rospawan, Ali; Angelina, Clara Lavita; Samsuri, Faisal; Baihaqi, Muhammad Yeza; Halawa, Edmun; Munajat, Muhammad; Vincent, Vincent; Setiyadi, Surawan; Purnama, Irwan; Simatupang, Joni Welman
Makara Journal of Technology Vol. 29, No. 2
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This paper presents a novel direct control strategy using a polynomial fuzzy neural network-based adaptive fractional order proportional integral derivative (PFNN-AFOPID) controller for nonlinear and time-varying systems. The proposed approach integrates the enhanced flexibility of fractional order calculus PID with the superior nonlinear approximation capabilities of polynomial fuzzy models, enabling dynamic adjustment of all control parameters without requiring precise mathematical modeling of system dynamics. By extending traditional PID control with fractional-order operations, the controller achieves improved frequency response and robustness against disturbances. Experimental validation on a DC motor position control system demonstrates significant performance improvements. Compared to traditional PID, the proposed PFNN-AFOPID achieved a performance improvement of 53.69% in RMSE, 78.56% in ISE, 69.92% in IAE, and 83.98% in ITAE. When compared to the existing fuzzy neural network-based adaptive PID (FNN-APID), our approach delivered improvements of 21.06% in RMSE, 28.79% in ISE, 5.69% in IAE, and 32.86% in ITAE. These results confirm the superior capability of the proposed approach in handling system nonlinearities while maintaining precise control under varying operational conditions, without requiring prior system dynamics knowledge or extensive offline training.
Pengaruh Kualitas Informasi dan Teknologi Informasi terhadap Kinerja Rantai Pasok Melalui Penerapan Berbagi Informasi Vincent, Vincent; Laulita, Nasar Buntu
Jurnal Maksipreneur Vol 15 No 1 (2025)
Publisher : Universitas Proklamasi 45

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30588/jmp.v15i1.2569

Abstract

In this study, technological advances have encouraged the use of AI-based systems in various activities. This study examines how AI can simplify company work and help solve problems related to supply chain performance, thereby improving company performance with the support of information quality, information technology, and information sharing, which helps the smooth running of the supply chain for the advancement of the company. This research facilitates the identification of key problems and their effective resolution. This research uses quantitative data obtained from a community survey in Batam. The results obtained from AI can facilitate various things for companies. The results of this study show that the influence of information quality and information technology on supply chain performance through the application of information sharing is significant. This improves performance within companies using current technology.
Predicting AI Job Salary Classes Through a Comparative Study of Machine Learning Algorithms Vincent, Vincent; Robet, Robet; Edi Wijaya
JURNAL RISET KOMPUTER (JURIKOM) Vol. 12 No. 6 (2025): Desember 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v12i6.8979

Abstract

The rapid growth of Artificial Intelligence (AI) has brought significant transformation to the global job market, particularly in salary structures across various AI-related professions. This study aims to classify AI job salaries into three categories—Low, Medium, and High—using supervised machine learning algorithms. The dataset, sourced from Kaggle, combines two real-world datasets featuring key attributes such as experience level, job type, education level, technical skills, remote work ratio, and salary in USD. Preprocessing techniques include One-Hot Encoding for categorical data, StandardScaler for normalization, and MultiLabelBinarizer to handle multi-skill entries. Four machine learning models—Logistic Regression, Random Forest, Gradient Boosting, and XGBoost—were trained and evaluated using consistent pipelines, with evaluation metrics including accuracy, precision, recall, and F1-score, applying macro-averaging to address class imbalance. Logistic Regression achieved the highest performance with 85.4% accuracy and 77.6% F1-score, followed by Gradient Boosting with 84.8% accuracy and 76.3% F1-score. High-salary classes were predicted with higher precision and recall than low-salary classes, indicating skewness in class distribution. Feature importance analysis shows that experience, remote work ratio, and key skills such as Python and SQL significantly affect prediction accuracy. This study demonstrates that traditional machine learning methods, when applied with appropriate preprocessing, can effectively support salary classification and labor market analysis in the AI domain.
Co-Authors Abubakar, Farrel Reyhansyah agustin, isnaini nuzula Aisha, Najwa Shanaya Al Karan Caniago, Khafidh Alexios, Constantine Amalia Dwi Cahyani Andika, Ilham Angel Angel Angeline angeline Anjelica, Anjelica Apriandi, Apriandi Ariawan Gunadi Aries Alpendri Arkananta, Muhammad Radhitya Baihaqi, Muhammad Yeza Candy, Candy Chandika, Wilkinson Chatarina Umbul Wahyuni Chen, Chin Fong Chintya, Ora Christiarini, Renny Clara Lavita Angelina David Sutanto Dewi, Sumartini Dyah Budiastuti Edi Wijaya Ellen Ellen Erryson, Davin Eryc, Eryc Eveline, Christina Fathul Jannah, Fathul Fitriano, Andre Glaudira, Nadya Hafsa, Zhilla Syauqina Hakim, Thaufiq Ar Halawa, Edmun Handayani, Melia Helen, Helen Hendru, Hendru Hermawan, Surya Herwin Herwin, Herwin Hesniati, Hesniati Hummerson, Laureen Aurora Husin, Denny Indasari Deu Itaar, Israel Gabriel Jasmine, Florentina Joni Welman Simatupang Julianti, Selly Kelvin Kelvin Keni Keni Kennedy, Winson Kristina Kristina Laulita, Nasar Buntu Lim, Nicholas Lunda, Axel Nathanael M.G.L, Deborah Maduma Sari Sagala Maharany, Maharany Manalu, Yohana Gusvita Megawati - Mikha, Mikha Monica Meyer, Sharon Moody Rizqy Syailendra Putra Mota, Rafael Alfredo Munajat, Muhammad Nainggolan, Jusup Aprilius Nainggolan, Jusup Aprillius Ng, Octarianto Lika Ngayomi Yudha Wastuti, Sri Ningsih, Vivian Febri Noviana Noviana Pancasakti, Bima Prasetya Panggabean, Maya Sabirina Pranata, Catri Wirya Pranata, M. Yuda Purnama, Irwan Rachmadhani, Andi Intan Rachmat Gunadi Wachjudi Rahmadhani, Gina Raiis, Daffa Dzaki Ramadani, Naila Ramadhanis, Zainab Riza, Rivan Robet Robet Rospawan, Ali Rubby Rahman Tsani Samsuri, Faisal Selfia Alke Mega, Selfia Alke Setiawan, Ericks Setiyadi, Surawan Shereen, Shereen Sherlly, Sherlly Sri Hartini Supriadi, Latif Sutoyo Sutoyo Tanaka, Valencia Teoh, Ai Ping Tjan, Charles Tri Sudibyo Tumipa, Rafael Samuel Ulfani, Dulia Vernando, Lovis VERONICA VERONICA Vidella, Vania Vivikoh, Vivikoh Wanibe, Kenji Dustin Welwen, Welwen Wijaya, Jonathan Wijaya, Selvi Elyana Winsen, Winsen Wulan Purnama Sari Yanti, Bely Novi Yoel Yoel Yulfiswandi, Yulfiswandi Yuni Priskila Ginting Yunior, Khomeiny Zahra, Amalia Zhang, Henry Yono