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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) TEKNIK INFORMATIKA Jurnal Simetris TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics CommIT (Communication & Information Technology) Jurnal Computech & Bisnis (e-Journal) Jurnal Ilmiah KOMPUTASI Sistemasi: Jurnal Sistem Informasi JOIV : International Journal on Informatics Visualization International Journal of Artificial Intelligence Research Indonesian Journal of Artificial Intelligence and Data Mining Jurnal SOLMA IRJE (Indonesian Research Journal in Education) Applied Information System and Management Jurnal Sisfokom (Sistem Informasi dan Komputer) JURNAL ILMIAH MAHASISWA AGROINFO GALUH SEIKO : Journal of Management & Business CYBERNETICS IJISTECH (International Journal Of Information System & Technology) YUME : Journal of Management Jurnal Sistem Cerdas JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Journal of Information Systems and Informatics bit-Tech Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Informatika dan Rekayasa Perangkat Lunak Journal of Applied Engineering and Technological Science (JAETS) Al-Adl : Jurnal Hukum Media Informatika Jurnal Ilmiah Manajemen Kesatuan Indonesian Journal of Electrical Engineering and Computer Science International Journal of Advances in Data and Information Systems Jurnal Riset Sistem Informasi dan Teknologi Informasi (JURSISTEKNI) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Teknik Informatika (JUTIF) ARSY : Jurnal Aplikasi Riset kepada Masyarakat IJISTECH Journal of Soft Computing Exploration Jurnal Sosial dan Teknologi Jurnal Abdimas Kartika Wijayakusuma Decode: Jurnal Pendidikan Teknologi Informasi Locus: Jurnal Konsep Ilmu Hukum Jurnal Administrasi Pemerintahan Desa Jurnal Locus Penelitian dan Pengabdian Nautical: Jurnal Ilmiah Multidisiplin Indonesia Jurnal Teknologi dan Manajemen Industri Terapan SENTRI: Jurnal Riset Ilmiah Edukasiana: Jurnal Inovasi Pendidikan Journal of Artificial Intelligence and Digital Business Journal of Business, Social and Technology eProceedings of Engineering Eduvest - Journal of Universal Studies Paradoks : Jurnal Ilmu Ekonomi Ranah Research : Journal of Multidisciplinary Research and Development Nuansa Informatika Informatics Management, Engineering and Information System Journal Jurnal INFOTEL Electronic Integrated Computer Algorithm Journal Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Scientific Journal of Informatics Vifada Management and Social Sciences International Journal of Computer Technology and Science Jurnal Pengabdian Bakti Akademisi Multidisciplinary Indonesian Center Journal SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Advance Sustainable Science, Engineering and Technology (ASSET) Journal Development Manecos Jurnal Ekonomi, Manajemen Pariwisata dan Perhotelan AQILA : Acceleration, Quantum, Information Technology and Algorithm Journal Journal of Information Systems and Technology Jurnal Nasional Teknologi Informasi dan Aplikasinya Proceeding of Community Service and Engagement
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Human-Centered Explainable Artificial Intelligence (HC-XAI): Systematic Literature Review dan Kerangka Konseptual Mercy Kristina Possumah; Muharman Lubis
Media Informatika Vol 25 No 1 (2026)
Publisher : P3M STMIK LIKMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37595/mediainfo.v25i1.508

Abstract

Penggunaan Artificial Intelligence (AI) kini semakin luas di berbagai bidang dan membawa dampak besar pada cara sistem mendukung pengambilan keputusan. Namun, model AI yang rumit sering membuat sistem ini sulit dipahami oleh banyak orang. Hal ini menimbulkan masalah dalam hal kejelasan, kepercayaan, dan kemampuan AI untuk membantu pengambilan keputusan. Untuk mengatasi kekurangan Explainable Artificial Intelligence (XAI) yang terlalu teknis, Human-Centered Explainable Artificial Intelligence (HC-XAI) menekankan peran manusia dalam merancang dan menilai penjelasan AI. Penelitian ini bertujuan mengidentifikasi ciri utama metode HC-XAI dan meneliti hubungan desain penjelasan yang berfokus pada manusia, terutama pemahaman, kepercayaan, dan dukungan dalam membuat keputusan. Studi ini menggunakan metode Systematic Literature Review (SLR) pada 19 publikasi dengan mengikuti pedoman PRISMA. Hasil penelitian menunjukkan bahwa pendekatan HC-XAI dicirikan oleh rancangan penjelasan yang berorientasi pada pengguna, keterlibatan pengguna, dan fokus pada konteks penggunaan. Berdasarkan temuan ini, studi ini mengusulkan konsep HC-XAI yang menempatkan rancangan penjelasan yang berpusat pada manusia sebagai penghubung antara sistem AI, interaksi pengguna, dan dampaknya pada aspek kemanusiaan.
Usulan Kerangka Konseptual Tata Kelola Artificial Intelligence untuk Perguruan Tinggi: Literatur Review Neca Aqila; Muharman Lubis
Media Informatika Vol 25 No 1 (2026)
Publisher : P3M STMIK LIKMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37595/mediainfo.v25i1.509

Abstract

Pemanfaatan Artificial Intelligence (AI) di perguruan tinggi mengalami peningkatan dalam bidang pembelajaran, penelitian dan manajemen kelembagaan. Fenomena ini mendorong akan kebutuhan tata kelola yang mampu memastikan penggunaan AI dapat berlangsung secara akuntabel, etis dan selaras dengan tujuan akademik pada perguruan tinggi. Walaupun beberapa penelitian terdahulu telah membahas kebijakan penggunaan AI di lingkungan pendidikan tinggi, pembahasan mengenai kerangka tata kelola AI yang terintegrasi masih sangat terbatas. Sehingga penelitian ini bertujuan untuk mengusulkan kerangka konseptual tata kelola AI untuk perguruan tinggi menggunakan metode literatur review pada beberapa artikel publikasi ilmiah yang relevan dan berfokus pada tata kelola AI, kebijakan institusional, penerapan AI di pendidikan tinggi serta standar dan kerangka regulative yang ada dan terkait. Metode literatur review digunakan untuk mengidentifikasi pola kontribusi, kesenjangan penelitian dan komponen inti dari tata kelola AI. Hasil sintesis dari literatur menunjukkan bahwa dalam beberapa literatur masih terfragmentasi, dengan fokus pada dimensi tertentu seperti pembelajaran, riset dan penjaminan mutu, tanpa memiliki model untuk mengintegrasikan aspek strategis, structural dan operasional. Dari temuan ini, sehingga diusulkan kerangka konseptual berlapis untuk mengintegrasikan dimensi strategi, taktis,operasional dan mengadaptasi standar eksternal dengan syarat legitimasi sosial dan konteks institusi sebagai tata kelolanya. Kerangka konseptual yang diusulkan, diharapkan dapat memberikan landasan teoretis untuk perguruan tinggi dalam merancang tata kelola AI yang sistematis dan adaptif.
Analyzing User Needs and Recommending Targeted Features for Bi’ih Village Tourism Website Using Text Mining and K-Means Clustering Artamevia, Mima; Lubis, Muharman; Mukti, Iqbal Yulizar; Handayani, Dini
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 6 (2025): JUTIF Volume 6, Number 6, Desember 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.6.5458

Abstract

Tourism village websites often do not fully reflect user needs, resulting in digital services that cannot be optimally utilized by residents and potential tourists. This situation limits access to information and reduces the effectiveness of tourism promotion efforts, especially in villages that are undergoing digital transformation. This study was conducted to identify the overall needs of users and compile data-based feature recommendations for the development of the Bi'ih Village website as a durian tourism village. The research method used a quantitative approach through the distribution of an online questionnaire to 110 respondents consisting of visitors and residents, with five open-ended questions and several structured questions. The data was analyzed using text mining to find dominant words and themes, as well as the K-Means Clustering technique determined through the Elbow method to group user characteristics. The analysis results showed that there were 2,702 tokens and 677 meaningful words, with the highest demand for government information and visual tourism content. The segmentation process produced three main groups, namely Active Supporters (61.4%), Tech Enthusiasts (27.3%), and Moderate Users (11.4%). This study contributes a data-driven approach to designing more relevant and measurable features for tourism village websites. The impact is expected to increase the adoption of village digital services, strengthen tourism competitiveness, and support the acceleration of the Smart Village concept implementation. The novelty of this study lies in the integration of text mining and clustering as the basis for developing user-oriented feature recommendations.
Knowledge Management Pratices: Rekomendasi Framework KM pada Perguruan Tinggi Swasta Devi Veronica; Hikma Sekar Tabayun, Silvia Gunawan, Muharman Lubis
SEIKO : Journal of Management & Business Vol 8, No 2 (2025): July - December
Publisher : Program Pascasarjana STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/sejaman.v8i2.10165

Abstract

Manajemen Pengetahuan (Knowledge Management) merupakan salah satu strategi organisasi untuk mempertahankan budaya yang mendukung pencapaian tujuan melalui proses berbagi pengetahuan dan pengalaman guna meningkatkan performa serta daya saing. Proses identifikasi, dokumentasi, serta pemanfaatan kembali pengetahuan yang telah diolah memerlukan wadah seperti sistem terintegrasi agar dapat bersaing dengan mengoptimalkan peran Teknologi Informasi (TI) di bidang akademik. Sistem yang diterapkan harus mendukung proses bisnis dan tujuan institusi. Penelitian ini melakukan studi literatur mengenai penerapan knowledge management di perguruan tinggi nasional maupun internasional, serta meninjau kendala dan peluang untuk menerapkan perbaikan knowledge management di institusi. Tujuan dari penelitian ini adalah memberikan rekomendasi framework knowledge management berdasarkan kondisi terkini Universitas Telkom guna meningkatkan sistem pelayanan dan kinerja kerja untuk mencapai tujuan atau visi perguruan tinggi. Kata Kunci: Knowledge Management, Teknologi Informasi, Perguruan Tinggi, Rekomendasi Framework, Strategi Organisasi.
Sebuah Kerangka Kerja Nielsen Honeycomb ISO Terintegrasi untuk Evaluasi Pengalaman Pengguna Komparatif Basis Data Akademik Rayhan Zahwan Saleh; Muharman Lubis
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3462

Abstract

Scholarly databases operate as everyday workspaces for discovery, screening, and citation management, so small usability frictions can compound into substantial research overhead. This study compares the user experience (UX) of five widely used platforms: Web of Science, Scopus, Google Scholar, DBLP, and SciProfiles. UX is treated as task success in realistic research workflows and confidence in record quality rather than surface level visual design. An integrated evaluation framework combines ISO 9241 usability principles, a ten-heuristic checklist, and a UX honeycomb model, and operationalizes them into eight dimensions and 30 criteria (maximum score 120). Unlike unweighted checklists, the framework uses Analytic Hierarchy Process (AHP) weighting to make trade offs among UX dimensions explicit and to support consistent cross platform benchmarking. Criteria cover search and relevance cues, metadata and export reliability, interface consistency, mobile responsiveness, accessibility, and credibility signals. Platforms were assessed through task based testing and a structured review of platform guidance and user feedback. Weighted scores were normalized for comparison. Results show a likely advantage for subscription based systems in precision search and metadata handling, with Web of Science ranking highest, followed by Scopus and Google Scholar, while DBLP and SciProfiles score lower yet remain useful for niche needs such as open metadata access and profile oriented discovery. The framework can be reused as a rubric for training, platform selection, and periodic UX audits.
Netflix's Digital Transformation Strategy: A Systematic Review of Challenges and Risk Mitigation Approaches Putri Nelsa; Anggraeni Xena Paradita; Fairuz Fernanda Hermawan; Muhamad Yazid Ghifari; Muharman Lubis
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 2 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i2.5927

Abstract

Digital transformation requires organizations to quickly adapt and keep up with technological changes and developments to remain competitive. Implementing transformation helps improve performance, efficiency, revenue, and organizational culture. However, the process is complex, difficult, and high-risk. Failure in digital transformation can be highly detrimental due to the significant investments required in terms of material and human resources. Not only do some organizations fail, but many are also able to overcome these challenges and succeed in transforming in the desired direction. One large and successful company in digital transformation is Netflix. This large streaming-based company is interesting to analyze for its achieved success. This study's purpose is to identify and analyze the strategies used by Netflix in overcoming challenges and risks during the digital transformation process. This study employs the Systematic Literature Review (SLR) method. Information was gathered from journals and articles spanning the last 4-5 years. This search used tools such as Google Scholar, Semantic Scholar, and an application called Publish Perish8, with keywords like "Transformasi digital," "Strategy digital," and "Netflix" in Indonesian, and "digital transformation," "digital strategy," and "Netflix" in English.
Identifikasi Masalah dan Tantangan dalam Sistem Manajemen Pembelajaran (LMS) Berbasis Mobile di Pendidikan Tinggi Muharman Lubis; Rafian Ramadhani; Mochamad Yudha Febrianta
SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Vol. 2 No. 1 (2025): January
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.14729075

Abstract

Penelitian ini bertujuan untuk menganalisis tantangan yang dihadapi dalam penerapan sistem manajemen pembelajaran berbasis mobile (m-LMS) di pendidikan tinggi dengan menggunakan metode literature review. Penelitian ini mengidentifikasi tantangan utama yang terbagi dalam tiga area utama: teknologi, pedagogis, dan organisasi. Hasil analisis menunjukkan bahwa keterbatasan infrastruktur seperti perangkat keras yang terbatas dan koneksi internet yang tidak stabil menjadi hambatan besar dalam implementasi m-LMS. Selain itu, faktor kualitas konten, desain aplikasi yang kurang responsif, serta rendahnya literasi digital di kalangan mahasiswa dan dosen turut mempengaruhi efektivitas penggunaan m-LMS. Penelitian ini menyarankan beberapa solusi, seperti pengoptimalan infrastruktur, peningkatan desain aplikasi, serta pelatihan intensif bagi mahasiswa dan dosen. Dengan dijabarkanya beberapa standarisasi maupum masalah mengenai m-LMS, diharapkan dapat mengatasi tantangan yang ada sekarang atau kedepanya dan meningkatkan efektivitas m-LMS untuk menciptakan pengalaman pembelajaran yang lebih fleksibel, responsif, dan inklusif di pendidikan tinggi.
Analisis Peran DCIM dalam Peningkatan Efisiensi Energi dan Penurunan PUE pada Data Center Indonesia Muhammad Fuady; Teguh Kurniawan; Basuki Rahmad; Muharman Lubis
Ranah Research : Journal of Multidisciplinary Research and Development Vol. 8 No. 5 (2026): Ranah Research : Journal Of Multidisciplinary Research and Development
Publisher : Dinasti Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/rrj.v8i5.2203

Abstract

The global digital transformation, accelerated by the COVID-19 pandemic and the massive adoption of generative artificial intelligence (AI) architectures, has triggered an exponential surge in the construction of hyperscale data center infrastructures. This growth brings a direct consequence in the form of escalating global energy consumption, positioning data centers among the most energy-intensive industrial facilities in the world. This research presents a comprehensive analysis of the role of Data Center Infrastructure Management (DCIM) as a holistic instrument to diagnose, orchestrate, and improve energy efficiency, quantified specifically through the reduction of the Power Usage Effectiveness (PUE) metric. Utilizing a methodological framework of systematic review and empirical multi-case analysis, this research deconstructs operational thermodynamic dynamics that cause persistent inefficiencies, such as server sprawl resulting in zombie servers and over-provisioning of HVAC systems. Quantitative analysis proves that DCIM intelligence features—including real-time thermal mapping, digital twin prediction, and capacity load optimization—can drastically reduce PUE, with several institutional facilities successfully lowering baseline PUE from 1.83 to 1.51, while cutting cooling loads by up to 48%. In Indonesia, DCIM integration proves highly crucial to fulfilling mandates of SNI 8799:2020 and SPBE guidelines, and mitigating peak load resilience risks for PT PLN (Persero). This research proposes a computing infrastructure governance paradigm focused on total automation of the thermal power supply chain to achieve globally competitive green infrastructure.
Lexicon-enhanced aspect-based sentiment analysis for evaluating Indonesian learning applications Wibowo, Jonathan Arya; Lubis, Muharman; Utomo, Rio Guntur; Ladkoom, Kobthong
Indonesian Research Journal in Education |IRJE| Vol. 10 No. 3 (2026): IRJE |Indonesian Research Journal in Education| in Progress|
Publisher : Universitas Jambi, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/irje.v10i3.55965

Abstract

This study evaluates user perceptions of two Indonesian learning applications, Ruangguru and Pahamify, through lexicon-enhanced aspect-based sentiment analysis of 14,768 Google Play reviews published between 2020 and 2025. EduAppLex-ID, a pilot domain lexicon containing 46 multiword expressions, was developed as an extension of the Indonesian Sentiment Lexicon. Overall sentiment toward both applications was favorable, with Pahamify showing a small but statistically significant advantage. Pedagogical quality received the most positive evaluation, whereas system quality was evaluated negatively for both applications. Monetization produced the largest difference between the applications. A lexicon audit identified eighteen high-frequency entries whose polarity assignments were unsuitable for the educational-application domain. These entries accounted for approximately one-fifth of the corpus’s sentiment mass, and their removal increased the observed between-application effect size. Because no human-annotated validation dataset was available, interpret the findings as exploratory evidence. The results demonstrate the importance of domain-specific lexicon calibration and aspect-level analysis when examining Indonesian educational-application reviews.
Revealing User Perception and Mental Model in My Tel-U Apps: A UX and Integrated Method Alif Noorachmad Muttaqin; Muharman Lubis; Dini Handayani; Ikhlas Fuad Zamzami
Applied Information System and Management (AISM) Vol. 8 No. 2 (2025): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v8i2.46667

Abstract

My Tel-U app user experience and usability were tested using a mixed-methods design with both quantitative and qualitative measurements. User experience was measured quantitatively using the User Experience Questionnaire (UEQ), as well as general satisfaction assessed by the Customer Satisfaction Score (CSAT), and task-based usability testing to evaluate actual user interaction. Thirty participants from different faculties and levels of study at Telkom University joined to experience various digital exposures and acclimate their behaviour to the application. UEQ results indicate overall positive attitudes across all six scales, with Perspicuity, Attractiveness, and Dependability achieving the highest scores. CSAT was 90%, indicating that most users were satisfied or very satisfied with the application. Although task accomplishment increased, usability testing revealed that problems such as slowness, poor navigation organization, and inadequate system feedback persisted. Open-ended questions confirmed similar issues, such as core functionality like grade viewing and attendance tracking, as well as ongoing concerns about performance and reliability. These results indicate that, although the application adheres to functional requirements, user support, response time, and clarity may need improvement in certain aspects. This research contributes to an integrative UX evaluation model by incorporating perceptual, emotional, and behavioural measures. The results provide positive feedback to developers and institutional stakeholders, justifying priorities for alterations that will make the My Tel-U app more accessible, user-friendly, and support long-term usage on the online learning platform.
Co-Authors A. Taupik Rahman Abdul Hakim Satria Nusantara Abdullah Muhammad, Hasan Abdulmana, Sahidan Achmad Rafi Addini Firdaus, Fitri Adillah, Muhammad Fauzan Nur Adinda Laras Ayu Aditya, Anggi Yudistira Adityas Widjajarto Agus Ambarwari Agustiana, Nathifa Ahmad Musnansyah Akbar Habib Buana Wibawa Putra Akbar Habib Buana Wibawa Putra Akbar Nurwahyu Arifin Putra Al Khowarizmi Ali Nurdin Ali Nurdin Alif Noorachmad Muttaqin Alif Noorachmad Muttaqin Alqahtani, Raied Ali Alvan Kamal Amri Amri Amril, Salsabila Zahrani Andartya Setyawan Darna Andiharsa Sih Setiarto, Rahardian Andriana Andriana Anggraeni Xena Paradita Annastasia, Syifa Annisa Humairo Anuraga, Rahadhitya Artamevia, Mima Asri Ana Asriana Asriana, Asriana Asti Amalia Nur Fajrillah Ayu, Adinda Laras Basuki Rahmad Basuki Rahmad Bayuwindra, Anggera Budianto, Farhan Alif Constantino, Matias Garcia Deden Witarsyah Devi Veronica Devi Veronica Dika, Dafa Dinda Bayu Rama Dini Handayani Dini Handayani, Dini Dini Oktarina Dwi Handayani DM, Burhanis Sulthan Dwi Hary Sandy, Muhammad Dzakiyyah Al Kaazhim Dzakiyyah Al Kaazhim Ega Mardoyo Ega Mardoyo Egi Al Fansyah Erlangga, Faezal Fachrul A Siregar Fadilah, Zikri Fairuz Fernanda Hermawan Fairuz Fernanda Hermawan Fakhrurroja, Hanif Fansyah, Egi Al Farhan Alif Budianto Farhan Alif Budianto Farhana Zahra Farhana Zahra Farid Farid, Farid Farma, Junia Fasya, Muhammad Haikal Fathia, Dhiya Fauzan, Ratandi Fauzan, Ratandi Ahmad Faza, Sharfina Febriyani, Widia Firdaus, Taufiq Maulana Fitrah Khairi Fitriyana Dewi Fonna, Rizki Putri Nurita Gabriel Ardi Hutagalung Galih Darmawan Hidayatullah Garcia-Constantino, Matias Gunawan, Dian Habibi Ramdani Safitri Hafiizh Maulana Halim, Hendra Hanif Fakhurroja Harefa, Hafid Rahman Hendarman Suhendro Herlina, Nenden Eva Meilani Hikmah Adwin Adam Humairo, Annisa Husaini, Galih Rashif Ikbar, Thoriq Ikhlas Fuad Zamzami Ikhlas Fuad Zamzami Ikhsan, Alif M. Ilham Ramadhan Nasution Intan Giri Anjani Iqbal Mukti Iqbal Santosa Iqbal Yulizar Mukti irfan venny rahmayanti Irhan Kahirul Umam Irvan, Irvan Ismail Darmawan Jan M. Pawlowski Jan M. Pawlowski Jihan Audia Mulya Jonathan Arya Wibowo Julham Julham Julham Julham Kamal, Alvan Kamil, Idham Kartini, Ani Kobthong Ladkoom Ladkoom, Kobthong Laily Indaryani Laily Indaryani Ledi Dinayatullah Litasari Widyastuti, Litasari Lubis, Arif Ridho Lubis, Fahdi Saidi Lukman Abdurrahman Lukmanul Hakim Lukmanul Hakim Luthfi Ramadani M. K. Rizal Syahputra M. Shabri Abd. Majid Made Marshall Vira Deva Matias Garcia Constantino Matias Garcia-Constantino Mega Fitri Yani Mercy Kristina Possumah Mercy Kristina Possumah Mhd Faris Pratama Mikhail, Muhammad Hibban Mima Artamevia Mima Artamevia Mima Artamevia Mira Kartiwi Mochamad Hariadi Mochamad Teguh Kurniawan Mochamad Yudha Febrianta Muhamad Yazid Ghifari Muhammad Dwi Hary Sandy Muhammad Dwi Hary Sandy Muhammad Edwinsyah Muhammad Fahmi Alby Muhammad Fakhrul Safitra Muhammad Fuady Muhammad Haikal Fasya Muhammad Hanif Zahran Muhammad Hibban Mikhail Muhammad Luthfi Hamzah Muhammad Mahendra Muhammad Zakki Riyana Muhammad, Hasan Abdullah Muttaqin, Alif Noorachmad Muzani Jalaluddin Nabiel Muhammad Al Ghazali Naufal Wirawan, Muhammad Neca Aqila Neca Aqila Neca Aqila Nguyen Kieu Trang Ni Ketut Caturwati Ni Made Purnami Noorachmad Muttaqin, Alif Nur Ichsan Utama Nurlina, Eka Nurma Sari, Nurma Nuryatno, Edi Triono Nusantara, Abdul Hakim Satria Oktariani Nurul Pratiwi Paramita, Paramita Possumah, Mercy Kristina Pradana, Vega Putra Prahastiwi, Narita Ayu Prajaya, Fannzy Bayu Askar Prayoga, Danar Prayudani, Santi Putri Luthfiah Harmaya Putri Luthfiah Harmaya Putri Nelsa Putri Utami Rukmana Qadhli Jafar Adrian R. Wahjoe Witjaksono Rafi, Achmad Rafian Ramadhani Rafian Ramadhani Rafian Ramadhani Rafsanjani, Rayhan Rafael Rahadhitya Anuraga Raharjo, Adi Rahmat Fauzi Rahmat Mulyana Rahmat Yasirandi Rahmat, Hadian Raied Ali Alqahtani Raisyah Nurul Amanah Rakan, Raihan Ramadhan, Yumna Zahran Ramadhani, Rafian Rayhan Rafael Rafsanjani Rayhan Zahwan Saleh Rayhan Zahwan Saleh Revyolla Ananta Dila Rian Bimo Ankhal Rian Bimo Ankhal Rian Bimo Ankhal Ridwan Setiadi Rika Mulyati Rika Mulyati Rika Mulyati Rio Guntur Utomo Romi Fadillah Rahmat Sadewa, Rizki Sahidan Abdulmana Sandy, Muhammad Dwi Harry Sandy, Muhammad Dwi Hary Sang Dara Parameswari Sang Dara Parameswari Sang Dara Parameswari Sarah Purnamawati See, Tan Lian Setyo Budianto Shaffiei, Zatul Alwani Shafira Fatimah Azzahra Silvia, Vivi Sinung Suakanto Siswanto, Joko Sonny Zulhuda Supeno Mardi Susiki Nugroho, Supeno Mardi Susetyo Bagas Bhaskoro Sutan Faiz Rasyid Syah, M. Edwin Syahrizal, Teuku Muhammad Syfa Nur Lathifah Tamara Indhira, Sekar Tania Ayu Sekar Arum, Muhammad Hanif Zahran, Taufiq Carnegie Dawood Teguh Kurniawan Thamrin, Daffa Shidqi Thoriq Ikbar Tiara Citra Maharany, Sekar Tien Fabrianti Kusumasari Tomi Mulhartono Trang, Nguyen Kieu Umar Yunan Kurnia Septo Hediyanto Umuri, Khairil Vega Putra Pradana Vreseliana Ayuningtyas Wibowo, Jonathan Arya Wihayanti, Titik Wirawan, Muhammad Naufal Yualinda, Sherla Yualinda, Sherli Yulio Ferdinand Yulio Ferdinand Yuyun Yusnida Lase Zakiyah Salsabila Zamzami, Ikhlas Fuad Zulkifli Zulkifli