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All Journal Pixel : Jurnal Ilmiah Komputer Grafis Jurnal Informatika Jurnal Informatika Jurnal Informatika dan Teknik Elektro Terapan Seminar Nasional Informatika (SEMNASIF) TEKNOINFO JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) Journal on Education Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika JATI (Jurnal Mahasiswa Teknik Informatika) Teknik: Jurnal Ilmu Teknik dan Informatika Jurnal Media Informatika Jurnal Abdi Masyarakat Indonesia Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Transformasi INFORMATIKA Journal of Artificial Intelligence and Digital Business Jurnal Smart Hukum (JSH) JOINTECOMS (Journal of Information Technology and Computer Science) AnoaTIK: Jurnal Teknologi Informasi dan Komputer Kohesi: Jurnal Sains dan Teknologi Mutiara: Jurnal Penelitian dan Karya Ilmiah Jurnal Sains Student Research West Science Nature and Technology Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research Venus: Jurnal Publikasi Rumpun Ilmu Teknik Router : Jurnal Teknik Informatika dan Terapan Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Jurnal Ilmiah Informatika dan Komputer LANCAH Jurnal Inovasi dan Tren Router : Jurnal Teknik Informatika dan Terapan Jurnal Teknik Informatika dan Teknologi Informasi Journal of Automotive Vocational Education
Jadiaman Parhusip, Jadiaman
Universitas Palangka Raya
Religion 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 Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Other

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AI-Powered Service Quality Management for Next-Generation Industrial IoT in Indonesia Judijanto, Loso; Parhusip, Jadiaman; Sono, Moh Gifari
West Science Nature and Technology Vol. 3 No. 01 (2025): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/j0q44416

Abstract

This study explores the integration of AI-powered service quality management in next-generation Industrial Internet of Things (IIoT) environments in Indonesia using a qualitative research approach. Drawing insights from five informants across diverse industries, the study investigates perceptions, challenges, organizational readiness, and the impact of AI technologies. Findings reveal that AI significantly enhances service quality through real-time monitoring, predictive analytics, and automation, leading to improved operational efficiency and customer satisfaction. However, challenges such as inadequate infrastructure, skill gaps, and data privacy concerns hinder widespread adoption, especially for small and medium enterprises (SMEs). The study emphasizes the importance of digital infrastructure development, workforce upskilling, and robust data security frameworks to fully realize the benefits of AI in IIoT environments. These findings contribute valuable insights for policymakers, industry practitioners, and researchers, providing a foundation for addressing contextual challenges and optimizing AI-driven service quality management in Indonesia.
Reconstruction of Criminal Law Policy in Handling Cyber Crime: Perspectives of Technology Law and Human Rights Hasnia, Hasnia; Hafiz, Asnal; Rasna, Rasna; Nurahman, Dwi; Parhusip, Jadiaman
Jurnal Smart Hukum (JSH) Vol. 3 No. 3 (2025): February-May
Publisher : Inovasi Pratama Internasional. Ltd

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55299/jsh.v3i3.1328

Abstract

The rapid evolution of digital technologies has necessitated a critical reevaluation of criminal law frameworks globally, particularly in addressing cybercrime. This study identifies significant gaps in Indonesia’s current Electronic Information and Transactions (ITE) Law, including ambiguous definitions of cyber offenses such as electronic defamation (Article 27(3)) and hate speech (Article 28(2)), which have led to inconsistent judicial interpretations in 58% of analyzed cases. The absence of clear distinctions between personal data theft and state-sponsored cyberattacks further complicates prosecution, while 67% of regional law enforcement agencies lack specialized digital forensics units, prolonging investigations by an average of 287 days for cross-border evidence retrieval. Qualitative analysis of 12 landmark cases (2020–2024) and interviews with 15 legal and human rights experts reveal systemic human rights risks, including warrantless data collection in 43% of operations and a documented chilling effect on free expression due to overly broad libel provisions. Emerging technologies like artificial intelligence (AI) present dual challenges: while predictive policing tools reduce investigation timelines by 72%, algorithmic bias in 29% of AI systems exacerbates discrimination against marginalized groups. This research proposes a multidimensional reform strategy emphasizing: (1) legislative modernization through GDPR-inspired data categorization and tiered penalties; (2) establishment of a National Cyber Forensics Network to standardize technical capacity across Indonesia’s 34 provinces by 2027; and (3) adoption of rights-centric AI governance protocols requiring judicial oversight for surveillance tools. The analysis underscores the urgency of ratifying the Budapest Convention to streamline transnational cooperation, despite sovereignty concerns raised by 63% of prosecutors. Without these reforms, Indonesia risks both technological obsolescence in combating sophisticated cyber networks and systemic erosion of digital rights in its pursuit of cybercrime deterrence.
Keamanan Jaringan dan Pengaruhnya terhadap Statistika: Pendekatan Analitik dan Praktis Pratama , Jhosua Ersa Arta; Farel Manurung , Jhon; Muhamad , Rizki; Parhusip, Jadiaman
LANCAH: Jurnal Inovasi dan Tren Vol. 3 No. 1 (2025): DESEMBER 2024 - MEI 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET) - Lembaga KITA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ljit.v3i1.3454

Abstract

Network security is a critical aspect of information technology aimed at protecting data and systems from cyber threats. Statistical approaches play a key role in detecting anomalies, measuring efficiency, and predicting security risks. This paper explores the intersection between network security and statistics, emphasizing the use of data analysis and statistical methods to enhance system security. Furthermore, it discusses the challenges posed by big data processing and highlights the importance of machine learning in supporting adaptive security systems. The findings suggest that integrating traditional statistical methods with modern machine learning techniques can improve real-time threat detection and risk management in network security.
Pemberdayaan Badan Usaha Milik Desa (BUMDes) untuk Mengurangi Tingkat Stunting dengan Air Bersih Layak Konsumsi di Desa Bandar Mekar, Kecamatan Tamban Catur, Kabupaten Kapuas Parhusip, Jadiaman; Sinaga, Ari Tumbor Panahatan; Andora, Armando; Harahap, Debora Jesica Tiur; Febrian, Dicky; Inda, Inda; Eka, Irena; Garang, Jane Vransisca Zee; Sinaga, Krisnaomi; Marta, Lin; Firdo, Nazaro Daud; Matanari, Nurhayati; Anita, Nur; Laskar, Purwodadi Dea; Rahmawati, Rahmawati; Nainggolan, Wynnie
Jurnal Abdi Masyarakat Indonesia Vol 5 No 3 (2025): JAMSI - Mei 2025
Publisher : CV Firmos

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54082/jamsi.1713

Abstract

Laporan ini membahas tentang upaya pemberdayaan Badan Usaha Milik Desa (BUMDes) dalam mengurangi tingkat stunting melalui penyediaan air bersih layak konsumsi di Desa Bandar Mekar, Kabupaten Kapuas, melalui program Kuliah Kerja Nyata (KKN) Reguler II Tahun 2024. Desa Bandar Mekar Kabupaten Kapuas menghadapi masalah utama terkait kurangnya kesadaran mengenai pentingnya mengonsumsi air bersih terbukti dari sebagian besar masyarakat masih mengonsumsi air sungai yang belum layak konsumsi.   tujuannya adalah untuk mengurangi angka stunting dengan meningkatnya kesadaran masyarakat. Metodelogi yang digunakan meliputi observasi desa, sosialisasi kepada pengurus BUMDes dan perangkat desa, wawancara dengan pihak terkait, uji laboratorium untuk menilai kualitas air,  penyuluhan kepada masyarakat melalui kegiatan posyandu, dan promosi melalui berbagai media. Setelah kegiatan promosi, penyuluhan, pelatihan dan sosialisasi pemberdayaan dilakukan, diketahui bahwa hasil uji laboratorium menunjukkan bahwa air isi ulang dari BUMDes telah memenuhi standar kualitas air minum yang aman untuk dikonsumsi. Dapat diartikan bahwa pendekatan pemberdayaan ini dapat memberikan kontribusi dalam mengatasi stunting dengan meningkatnya akses masyarakat terhadap air bersih yang layak konsumsi.  Melalui rangkaian pendekatan mahasiswa KKN ini penyediaan air bersih layak konsumsi meningkat dan terpenuhi dengan demikian diharapkan masalah stunting di Desa Bandar Mekar dapat berkurang dan kesadaran masyarakat terhadap pentingnya air bersih semakin meningkat secara signifikan.
Analisis Feedback Pengguna Aplikasi Shopee Menggunakan Distribusi Proporsi dan Teknologi Informasi Dora Alvionita; Lidiya; Jadiaman Parhusip
Teknik: Jurnal Ilmu Teknik dan Informatika Vol. 5 No. 1 (2025): Mei: Teknik: Jurnal Ilmu Teknik dan Informatika
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/teknik.v5i1.602

Abstract

This research aims to analyze Shopee application user feedback using Google Colab-based information technology and a proportion distribution approach. The method used includes a Multinomial Naïve Bayes-based classification technique to categorize sentiment into positive and negative. The research results show that the model accuracy level is 90.84% ​​with an average precision for the positive and negative categories of 0.93 and 0.78 respectively. The statistical test produces a T-statistic value of 2759.50 with a p-value of 0.0, which shows significance in the difference in the distribution of positive and negative reviews.
Rancang Bangun Sistem Pendeteksian Penyakit Tanaman Anthurium Dengan Metode Variable-Centered Intellegent Rule System (VCIRS) Saputra, Ade Candra; Parhusip, Jadiaman; Hidayat, Yusup
Journal of Information Technology and Computer Science Vol. 1 No. 1 (2021): JOINTECOMS : Journal of Information Technology and Computer Science
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (324.225 KB) | DOI: 10.47111/jointecoms.v1i1.2542

Abstract

The anthurium plant disease detection system that has been built is a system that can help diagnose diseases in anthurium plants based on symptoms input by the user and provide solutions to these problems. This system is intended to provide easy access to information about the types of anthurium diseases and their treatment solutions for planters, anthurium enthusiasts, or nonexpert who really need this information. This system uses disease and treatment data sourced from anthurium plant experts. There are 13 diseases and 44 symptoms of disease which becomes the system knowledge base. The research methodology carried out includes the process of knowledge acquisition, knowledge representation, VCIRS design, system analysis and design, system implementation and testing. In this study, the anthurium plant detection system was tested 13 times. The trial results showed that the system was able to diagnose anthurium plant diseases with an accuracy rate of 92.3%. Errors occur because of the diagnosis of symptoms used in several diseases and it turns out to have a higher usage rate value in a VCIRS rule.
Sistem Informasi Bimbingan Skripsi Berbasis Website Pada Pendidikan Agama Hindu Institut Agama Hindu Negeri Tampung Penyang Arya, I Made; Christina, Sherly; Parhusip, Jadiaman
Journal of Information Technology and Computer Science Vol. 3 No. 1 (2023): JOINTECOMS : Journal of Information Technology and Computer Science
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47111/jointecoms.v3i1.10798

Abstract

Thesis is a scientific paper that discusses a problem in a particular field of science by using applicable scientific rules. Apart from being a graduation requirement.. However, there are several obstacles in the preparation of the thesis, one of which is thesis guidance. It is necessary to have a system to minimize obstacles during thesis consultation. The Website Thesis Consultation Information System in this study uses the Waterfall software development method. The stages used are communication, planning, modeling, construction, and deployment. System analysis was made using flowcharts and system design using Unified Modeling Language (UML). And the testing method used in this research is black box testing. Results using the blackbox testing method from the analysis and operation process, it is found that this system can help students, lecturers and study programs in the thesis consultation process.
Rancang Bangun Pelaporan Kerusakan Sarana Dan Prasarana Di Sma Negeri 1 Kasongan Berbasis Website Meyland, Helinda; Oktaviyani, Enny Dwi; Parhusip, Jadiaman
Journal of Information Technology and Computer Science Vol. 3 No. 2 (2023): JOINTECOMS : Journal of Information Technology and Computer Science
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47111/jointecoms.v3i2.10822

Abstract

The use of facilities and infrastructure is very important for the continuity of the teaching and learning process and for improving the quality of learning for both students and teachers. Facilities and infrastructure greatly affect the ability of students to learn. This shows that the role of facilities and infrastructure is very important in supporting the quality of student learning. Managing facilities and infrastructure is a very important activity in schools, since its existence will greatly support the success of the learning process in schools. So it is necessary to have a system that is able to handle this, which makes website-based Design and Build Facility and Infrastructure Damage Reporting able to run quickly, precisely and the data manage is valid. Because of the problems above, an innovation was created to create a website-based application that can be accessed by the school, in order to monitor the management and maintenance of facilities and infrastructure in schools. The realization of this system requires an observation at SMA Negeri 1 Kasongan to get the real process and the data needed to form an information system. Software development involves the Waterfall method with multiple steps, including needs analysis, system design, implementation, integration and testing, and operation and maintenance. By implementing the waterfall method in designing and building reporting of damage to facilities and infrastructure at SMA Negeri 1 Kasongan, the system will assist the school in processing information regarding reporting of damaged facilities and infrastructure and simplify the process of submitting school improvements to the Provincial Education Office.
Pencarian Jarak Terdekat Lokasi Rumah Makan Tradisional Kota Palangka Raya Dengan Menggunakan Algoritma Breadth First Search Sitinjak, Maruli Valentino; Ronaldo, Deddy; Parhusip, Jadiaman
Journal of Information Technology and Computer Science Vol. 3 No. 2 (2023): JOINTECOMS : Journal of Information Technology and Computer Science
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47111/jointecoms.v3i2.10826

Abstract

In determining the location of the desired traditional restaurant, of course, consumers need information or criteria to choose the closest traditional restaurant according to their needs, while information about the location, menu list and condition of the food place is still limited. This can make some users choose the location of a restaurant that is far away because they do not have enough information about the location of the nearest restaurant. Based on these problems, a system that can provide information is needed and is facilitated by finding the nearest location for traditional restaurants. This study aims to build a geographic information system that displays information and the location of traditional restaurants presented in the form of digital maps. This research applies the Breadth First Search (BFS) algorithm by testing the Haversine formula method system for finding the nearest location, HereMaps as a digital map builder, and developed based on a website. Making this application using the waterfall method, at the analysis stage the analysis stage is carried out on the things needed for website creation. At the design stage, program modeling is described in the Unified Modeling Language (UML). Then at the coding stage of making this website using the Visual Studio Code (VSC) and xampp applications and testing this application using the black box method.
Reconstruction of Criminal Law Policy in Handling Cyber Crime: Perspectives of Technology Law and Human Rights Hasnia, Hasnia; Hafiz, Asnal; Rasna, Rasna; Nurahman, Dwi; Parhusip, Jadiaman
Jurnal Smart Hukum (JSH) Vol. 3 No. 3 (2025): February-May
Publisher : Inovasi Pratama Internasional. Ltd

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55299/jsh.v3i3.1328

Abstract

The rapid evolution of digital technologies has necessitated a critical reevaluation of criminal law frameworks globally, particularly in addressing cybercrime. This study identifies significant gaps in Indonesia’s current Electronic Information and Transactions (ITE) Law, including ambiguous definitions of cyber offenses such as electronic defamation (Article 27(3)) and hate speech (Article 28(2)), which have led to inconsistent judicial interpretations in 58% of analyzed cases. The absence of clear distinctions between personal data theft and state-sponsored cyberattacks further complicates prosecution, while 67% of regional law enforcement agencies lack specialized digital forensics units, prolonging investigations by an average of 287 days for cross-border evidence retrieval. Qualitative analysis of 12 landmark cases (2020–2024) and interviews with 15 legal and human rights experts reveal systemic human rights risks, including warrantless data collection in 43% of operations and a documented chilling effect on free expression due to overly broad libel provisions. Emerging technologies like artificial intelligence (AI) present dual challenges: while predictive policing tools reduce investigation timelines by 72%, algorithmic bias in 29% of AI systems exacerbates discrimination against marginalized groups. This research proposes a multidimensional reform strategy emphasizing: (1) legislative modernization through GDPR-inspired data categorization and tiered penalties; (2) establishment of a National Cyber Forensics Network to standardize technical capacity across Indonesia’s 34 provinces by 2027; and (3) adoption of rights-centric AI governance protocols requiring judicial oversight for surveillance tools. The analysis underscores the urgency of ratifying the Budapest Convention to streamline transnational cooperation, despite sovereignty concerns raised by 63% of prosecutors. Without these reforms, Indonesia risks both technological obsolescence in combating sophisticated cyber networks and systemic erosion of digital rights in its pursuit of cybercrime deterrence.
Co-Authors Abertun Sagit Sahay Abertun Sagit Sahay Ade Chandra Saputra Ade Saputra Adhitya, Fathan Kevin Aditya Nafil, Adam Agus Sehatman, Saragih Agustin, Olga Noviola Ahmad Fadlilah Ramadlan Akhmad Kamilen Amar Filonga Septaraja Ananda Rafael Chrisvo Anastasya Simorangkir Andora, Armando Angelina Estevani Anita, Nur Antonius Nahak Marin Antonius Nahak Marin Ariani, Rika Christalina Armando Marcello Jessend Arrbiyannoor ilham Sanusie, Arbiyanoor Ary Sigit Julian Arya Bima Mohammad Heriansyah Arya, I Made Atong Nazarius Augustin, Darryl Sandi Azrieel, Willy Bagus Valentino Bagus Valentino Bayu Saputra Bayu Wira Aji Yudhoyono Berlinson, Alif Mayrossi Berlison, Alif Mayrossi Betariani, Vivin Viola Boyke Danan Filtranda Budi Aulyansyah Ahmad Trisna Caca Handika Caroline Herfisia Parlina Christian Arby Putra Liming Christian Fedrik Nakano Christina, Sherly Chrisvo, Ananda Rafael Cindy Margaratha Clara Sinta Septiani Claudy Queen Pirera Cyaramani Cyaramani Cyaramani, Cyaramani Darrel, Evandri Christian Depro Winoto Deska Phanosthy Hutagalung Devi Gaby Febriyanti Simanjuntak Devina Fahrisa Dicky Febrian Dinda Marsyanadya Putri Dora Alvionita Dwi Nurahman, Dwi Dwi Putri, Athay Setya Dwi Saputra, Reynaldi Dwimaryuga Putrisetiani Dwiva Krisnoprianto Pratama E,Didik Madyatmadja, E,Didik Eka, Irena Ekat Rueh Daya Leluni Enny D O Erick Hernando Erina Ekanova Safitri Euodia Marsa Fajari, Rizqi Farel Manurung , Jhon Faris Jatmiko Febrian Evan Rafael Febrian Nur Hidayat Febriani Auria Felicia Sylviana Ferdinand, Bryan Desmonda Fieradova, Deanyse Oxana Fikri Maulana, Andika Firdo, Nazaro Daud Florensiana Talentina Angela Seda Fransciko Pritama Futri, Nurviani Garang, Jane Vransisca Zee Gavin Berylian Josepto Gedeon Gedeon Glend Stevans Gloria Recita Hafiz, Asnal Handayani, Evita Hanna Darmawan Hanna Darmawan Harahap, Debora Jesica Tiur Hariz Kurniawan Hasibuan, Liyando Hermawan Herlinda Sihombing Heru Saputra, Aditya Hidayatullah, Muhammad Fatwa Inda, Inda Indes Permatahati Parhusip Ivena Julia Armelinda Jekwoso, Thabut Rachmani Jeremy Timothy Souk Jinu, Gress Jovanka Feranita Judijanto, Loso Kaharap , Benie Agusti Kahlil Gibran, Achmad Kamilla, Adinda Cahya Kevin Joannes Kristianto, Hefi Kumala Azahra Majidiah Kurniawan, Hariz Kurniawan, Muhammad Rony Lamtio Sihombing, Dermauli Laskar, Purwodadi Dea Licantik Licantik Licantik, Licantik Lidiya Lodri Ariantoni Lowryanty, Ni Putu Lusia Kiareni, Cindi Magdalene Isma Mahendra, Rizqullah Falah Manderes, Caesar Maria Ramanda Kalawa Putri Marshanda Putri Nurulita Marsianina Mega Cahaya Marta, Lin Martitus Wiranata Marvin Donald Richardo Aronggear Matanari, Nurhayati Maulana, Ferdy Afriza Mavanudin, Zhykwa Cerryl Meilinda Xanderina Meisya Pradana Mentari Meyland, Helinda Michael Michael Monalisa, Agatha Muhamad , Rizki Muhamad Rafliansyah Muhamad Ridwan Muhammad afrizal Muhammad Arifin Ilham Muhammad Farid Dzakwan Wahyudi Muhammad Fatwa Hidayatullah Muhammad Rizqullah Mulyono Muhammad Roeyyan Radhi Muhammad Sabrin Safi’i Muhammmad Arif Afandy Nadya Revelin Putri Nainggolan, Wynnie Nasution, Annio Indah Lestari Natasya Priyani Naufal Fakhri Nela Puspita Florensia Nor Wahidman Norul Annisa Nur Haniatin Jannah O, Enny D Oktama Winduro, Tirta Oktaviyani, Enny Dwi Patrick Welay Pendi - Pikami, Billy Oktha Prabasari, Triastuti Prabasari, Triastuti Pratama , Jhosua Ersa Arta Prayoga, Andika Prima Ginting, Paska Priskila, Ressa Pritama, Fransciko Puteri Ananda Khairunnisa Putri Intani Sihite Putri Silvia Rafif Dhia Yusrana Rafli Rafiqri Rahmawati, Rahmawati Ramadhan, Zidhan Moro Rangin, Adriel Eleazar Rasna, Rasna Raydamar Rizkyaka Riyadi Reina Dewi Masitoh Rendy Saputra Rendy Swanda Narastu Ribhansyah Aqil Akbar, Muhammad Rifky Mustaqim Handoko Rika Christalina Ariani Rinaldi Rizwar Rio Irawan Rizal Wahyu Saputra Ronaldo, Deddy Rony Teguh Rony Teguh Ryan Delon Pratama Safi?i, Muhammad Sabrin Safi’i, Muhammad Sabrin Sahay, Abertun Sagit Saputra, Ade Candra Saputra, Septian Dwi Sari Sinaga, Nelli Reanda Setiawan, Dondi Sherly Christina Shiddiq, Bakar Ash Sihar Haryanto Pandiangan Sihite, Putri Intani Sihombing, Thomas Re Manuel Putra Sinaga, Ari Tumbor Panahatan Sinaga, Krisnaomi Siska Puspitarani Siswahyudianto Sitinjak, Maruli Valentino Sono, Moh Gifari Sorisa, Cinda Sriyanto, Naufal Ihsan Suryani, Budi Aulyansyah Ahmad Trisna Syahrohim, Imam Sylvana, Felicia Sylvana, Felicia Tantri Tantri Tasya Apriliani Tegar Pratama Tety Citra Natha Thabut Rachmani Jekwoso Thomas Arya Lubis Thomas Zugildo Magnus Triastuti Prabasari Trinidat, Jhansen Tulus Andriansah Tyara Rahmidasari Viktor H. Pranatawijaya Virginia Valentine Vonia, Vonia Wafik Andini Wafik Andini Wafiq Nabila Widiatry - Widiatry, Widiatry Wiltra, Wiltra Wiltra, Wiltra Winda Yulistria Yolanda Hevin, Tirza Yosua Alexandro YOVITA Yudha Rinsaghi Yukandri Yulia Patimah Yulistria, Winda Yulistria, Winda Yusup Hidayat Zahra, Fatiya Ummu Hanifah Zefanya Jopa Aurelius Zenifer, Yolanda