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All Journal Jurnal Sistem dan Informatika Faktor Exacta Jurnal Informatika Universitas Pamulang Matrik : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JURIKOM (Jurnal Riset Komputer) Building of Informatics, Technology and Science International Journal of Artificial Intelligence JSR : Jaringan Sistem Informasi Robotik Journal of Artificial Intelligence and Innovative Applications (JOAIIA) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) TIN: TERAPAN INFORMATIKA NUSANTARA Community Empowerment KLIK: Kajian Ilmiah Informatika dan Komputer JUSTIN (Jurnal Sistem dan Teknologi Informasi) KERNEL: Jurnal Riset Inovasi Bidang Informatika dan Pendidikan Informatika Journal Of Human And Education (JAHE) JAMAIKA: Jurnal Abdi Masyarakat J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat) International Journal of Integrative Sciences Journal of Research and Publication Innovation LOGIC : Jurnal Ilmu Komputer dan Pendidikan Biner : Jurnal Ilmu Komputer, Teknik dan Multimedia Jurnal Manajemen, Ekonomi, Hukum, Kewirausahaan, Kesehatan, Pendidikan dan Informatika (MANEKIN) OKTAL : Jurnal Ilmu Komputer dan Sains AMMA : Jurnal Pengabdian Masyarakat JRIIN :Jurnal Riset Informatika dan Inovasi Buletin Ilmiah Ilmu Komputer dan Multimedia (BIIKMA) Open Access DRIVERset TEKNOBIS : Jurnal Teknologi, Bisnis dan Pendidikan AI dan SPK : Jurnal Artificial Intelligent dan Sistem Penunjang Keputusan Open Access DRIVERset Bulletin of Informatics and Data Science
Perani Rosyani
Universitas Pamulang
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Journal : Biner : Jurnal Ilmu Komputer, Teknik dan Multimedia

 1 
Systematic Literature Review: Sistem Pakar Diagnosa Penyakit Gigi Menggunakan Metode Forward Chaining Yolanda Anggraini; Mohamad Indra; M. Khoirusofi; Ibnu Nur Azis; Perani Rosyani
BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia Vol. 1 No. 1 (2023): BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia (INPRESS)
Publisher : CV. Shofanah Media Berkah

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Abstract

Kecerdasan buatan telah meningkatkan sejumlah industri secara signifikan, termasuk industri di bidang kesehatan. Salah satunya adalah penggunaan sistem pakar diagnostik gigi berbasis forward chaining. Dengan bantuan teknik ini, sistem pakar mampu menarik kesimpulan baik dari informasi yang telah diberikan maupun data yang terkumpul. Meskipun metode forward chaining telah diterapkan di sejumlah aplikasi sistem pakar diagnostik gigi, penelitian lebih lanjut masih diperlukan untuk mengetahui kelebihan dan kekurangannya. penelitian ini bertujuan untuk mengevaluasi sistem pakar diagnosa penyakit gigi menggunakan metode forward chaining yang datanya dikumpulkan dari jurnal terkait pada tahun 2019–2023. Dalam penelitian ini, peneliti menggunakan metode Systematic Literature Review (SLR). systematic literature review (SLR) adalah Salah satu teknik penelitian yang digunakan untuk mengumpulkan, menilai, dan mensintesis data secara sistematis dari berbagai artikel atau publikasi ilmiah terkait. Untuk menghasilkan hasil yang lebih objektif dan dapat dipertanggungjawabkan, Metode ini mencari dan memilih materi yang relevan dengan menggunakan prosedur yang ditetapkan. melakukan pencarian artikel-artikel terkait menggunakan database yang terkait dengan kecerdasan buatan dan sistem pakar diagnosa gigi. Hasil dari penelitian ini menunjukkan bahwa penggunaan metode forward chaining pada sistem pakar diagnosa gigi memiliki kelebihan dan kekurangan, penelitian ini juga memberikan hasil faktor apa saja yang dapat mempengaruhi keberhasilan dalam penerapan metode forward chaining pada sistem pakar diagnosa penyakit gigi. dan dapat melihat manfaat yang diberikan sistem pakar yang menggunakan metode forward chaining. Kata Kunci: Kecerdasan Buatan, Sistem Pakar Diagnosa Penyakit Gigi, Metode Forward Chaining
Rancang Bangun Aplikasi Pengajuan Cuti Karyawan Berbasis Web Dengan Metode Extreme Programming Pada PT. Continental Panjipratama Muchamad Muchrodi; Perani Rosyani
BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia Vol. 1 No. 2 (2023): BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia
Publisher : CV. Shofanah Media Berkah

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PT. Continental Panjipratama is one of the companies engaged in manufacturing that produces various types of shoe products. One way the company can fulfill the rights of employees is to provide annual leave rights to employees in accordance with the provisions of Law No. 13 of 2003 concerning employment, Article 79 paragraph 2c. Until now PT. Continental Panjiprtama in handling its leave application is still done conventionally where in the process of submitting leave, employees fill out a form first to be approved by the head of department and company leadership. In addition, the storage of the leave submission report is still in the form of an archive, so that there is a buildup in the annual leave submission report. And there is no web-based employee leave application system yet. So that the process of applying for annual leave at PT. Continental Panjipratama is considered less effective and efficient. The purpose of this research is to produce a website-based employee leave application system that can be accessed at any time by employees of PT. Continental Panjipratama so that it can assist employees in the process of applying for leave. The development system method used in this research is the extreme programming method. This employee leave application system application is built using the PHP, HTML, MYSQL programming languages and the bootstrap framework. With the existence of a web- based employee leave application information system, it can assist employees in the leave application process which can be accessed anytime online.
Analisa Sistem Pakar Diagnosa Penyakit Influenza (Flu) Pada Orang Dewasa Dengan Metode Forward Chaining Andhika Noviantara; Luzen Aji Budiman; Wiwi Apriyanti; Perani Rosyani
BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia Vol. 1 No. 2 (2023): BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia
Publisher : CV. Shofanah Media Berkah

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Abstract

Expert system is a technology that is widely used in the health sector, one of which is for disease diagnosis. Influenza (Flu) is one of the respiratory diseases caused by a virus called the influenza virus. Diseases caused by climate change are usually Influenza (Flu) and cold diseases, which are often considered the same by society. The purpose of this study was to design an expert system application for the diagnosis of these two different diseases, namely flu and colds. The research data is sourced from data from the Ministry of Health of the Republic of Indonesia (KEMENKES). The design of this expert system application uses the Forward Chaining method with google appsheet and google sheet tools. The results showed that all the features of the application have worked properly after being tested using the black box testing method. This application also helps people be able to distinguish flu and cold diseases, it is shown through the results of an online survey that 91% of respondents need this expert system application.
Teknologi Berbasis Kecerdasan Buatan Pada Aplikasi Grab Penumpang Maupun Driver Menggunakan Metode Forward Chaining Irfan Maulana; Khotibul Umam; Aditya Rizqiandry Saputra; Hafidz Al Amin; Perani Rosyani
BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia Vol. 1 No. 3 (2023): BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia
Publisher : CV. Shofanah Media Berkah

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Abstract

Di sini kami membahas tentang penerapan teknologi berbasis kecerdasan buatan (AI) pada aplikasi Grab, yang merupakan perusahaan jasa angkutan penumpang online di Asia Tenggara. Kami menjelaskan bagaimana AI dapat membantu meningkatkan kualitas layanan, keselamatan, dan efisiensi bagi penumpang dan pengemudi, serta mengatasi masalah kemacetan lalu lintas dan lokasi. Penulis juga menguraikan beberapa metode dan algoritme AI yang digunakan oleh Grab, seperti forward chaining, deteksi perubahan, dan landmark lokal. Artikel ini memberikan gambaran umum tentang perkembangan dan manfaat AI di bidang transportasi online.
Literature Review : Implementasi Sistem Pakar Untuk Diagnosa Penyakit Diabetes Menggunakan Metode Fuzzy Rahman Maulana; Muhammad Akbar Fadillah; Sakha Satrio Pambudi; Perani Rosyani
BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia Vol. 1 No. 3 (2023): BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia
Publisher : CV. Shofanah Media Berkah

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Abstract

Penelitian ini merupakan tinjauan literatur yang bertujuan untuk mengeksplorasi implementasi sistem pakar menggunakan metode fuzzy dalam proses diagnosa penyakit diabetes. Dalam bidang kesehatan, diabetes menjadi fokus utama karena dampaknya yang signifikan pada kesejahteraan individu. Melalui tinjauan literatur, penelitian ini melakukan pencarian dan analisis berbagai sumber dan artikel ilmiah yang relevan guna menjelaskan penerapan sistem pakar dengan metode fuzzy dalam mendiagnosa penyakit diabetes. Temuan dari tinjauan literatur menunjukkan bahwa implementasi sistem pakar dengan metode fuzzy telah berhasil memperoleh hasil positif dalam mendukung proses diagnosa penyakit diabetes. Metode ini memungkinkan pengumpulan gejala dan informasi medis yang teramati pada pasien, serta menerapkan aturan fuzzy yang telah ditetapkan untuk mencapai diagnosa yang akurat. Dengan terus meningkatkan implementasi dan pengembangan sistem pakar yang lebih canggih, diharapkan dapat ditemukan solusi yang lebih efisien dan andal dalam diagnosa penyakit diabetes. Kontribusi penting dari penelitian ini diharapkan mampu meningkatkan penanganan penyakit diabetes, meningkatkan kualitas hidup pasien, dan mengurangi dampak negatif yang diakibatkan oleh penyakit ini.
Literature Review : Implementasi Sistem Pakar Untuk Diagnosa Penyakit Diabetes Menggunakan Metode Fuzzy Rahman Maulana; Muhammad Akbar Fadillah; Sakha Satrio Pambudi; Perani Rosyani
BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia Vol. 1 No. 2 (2023): BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia
Publisher : CV. Shofanah Media Berkah

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Abstract

This research is a literature review aimed at exploring the implementation of expert systems using fuzzy logic in the diagnosis process of diabetes. Diabetes is a primary concern in the field of healthcare due to its significant impact on human well-being. Through a literature review, this research conducted a search and analysis of various relevant sources and scientific articles to elucidate the application of expert systems with fuzzy logic in diagnosing diabetes. The findings of the literature review demonstrate that the implementation of expert systems using fuzzy logic has successfully yielded positive outcomes in supporting the diagnosis process of diabetes. This method enables the collection of patients' observed symptoms and medical information and applies predefined fuzzy rules to achieve accurate diagnoses. By continuously improving the implementation and development of more advanced expert systems, it is expected to discover more efficient and reliable solutions for diagnosing diabetes. The significant contribution of this research is expected to enhance the management of diabetes, improve the quality of life for patients, and mitigate the negative impact caused by this disease.
Deteksi Crack Dan Studi Perbandingan Berdasarkan Faster R-CNN Dan Mask R-CNN Nailah Rahdatul’Aisy; Sella Amelia Putri; Ranita Claudia Br Purba; Muhammad Ikhwal; Robbiul Jauza Erbila; Perani Rosyani
BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia Vol. 1 No. 3 (2023): BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia
Publisher : CV. Shofanah Media Berkah

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Abstract

The intelligent gap detection method is an important guarantee for the realization of intelligent operation and maintenance, and it is very important for traffic safety. In recent years, the introduction of pavement cracks based on computer vision has attracted more and more attention. With the breakthrough of general deep learning algorithm technology in recent years, detection algorithms based on deep learning and convolutional neural networks have achieved better results in the field of crack recognition. In this paper, deep learning was investigated to intelligently detect road cracks, and Faster R-CNN and Mask R-CNN were compared and analyzed. Results show that the joint training strategy is very effective, and we can confirm that Faster R-CNN and Mask R-CNN complete the gap detection task when trained with only 130+ images and can outperform YOLOv3. However, joint strategy training led to a decrease in the effectiveness of the bounding box which was detected by the Mask R-CNN.
Rancang Bangun Aplikasi Sistem Pakar Penentu Kesehatan Makanan Khas DKI Jakarta Berbasis Android dengan Metode Backward Chaining Afriyani Agustin; Perani Rosyani
BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia Vol. 1 No. 3 (2023): BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia
Publisher : CV. Shofanah Media Berkah

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Abstract

In daily life, food plays a crucial role in maintaining one's health and well-being. Regional cuisine also holds cultural value and serves as an attraction for both local and international tourists. DKI Jakarta, as the capital city of Indonesia, offers a variety of local dishes that showcase the culinary diversity of Indonesia. However, when it comes to selecting healthy and nutritionally suitable food according to individual needs, people often face challenges in obtaining information about the nutrition and health value of specific foods. Additionally, there may be specific considerations to take into account, such as health conditions or dietary preferences. In this context, the development of an expert system application can be an effective solution to assist users in determining the suitability and health value of DKI Jakarta's local food. An expert system is a computer system that utilizes knowledge acquired from domain experts to provide relevant recommendations or solutions to users. The Backward Chaining method used in this application development allows users to input their symptoms or dietary preferences, and the system analyzes this information based on programmed knowledge rules. Leveraging Android technology, this application provides easy and convenient access to users through their mobile devices. Through the design and development of this Android-based expert system application for determining the healthiness of DKI Jakarta's local food using the Backward Chaining method, it is expected that users can easily evaluate the food they consume based on their needs and dietary preferences. This application also aims to raise awareness about the importance of choosing healthy and nutritious food in everyday life, while promoting DKI Jakarta's local cuisine as part of Indonesia's cultural richness. Therefore, the objective of this research is to design and build an Android-based software information system for determining the healthiness of DKI Jakarta's local food using the Backward Chaining method.
Co-Authors A A Waskita A Suhendi Aang Suryana Abdul Azis Salim Abdul Majid Abdullah Al Ghifari Achmad Anshori Cahyaabdillah Achmad Khoirur Roziqin Achmatan Walidani Adam Panji Maulana Ade Kurniawan Ade Nuryana Ade Rosadi Adeka Saputra Adelia Dewi Adi Prasetiyo Adi Saputra Adinda Dwi Lestari Aditya Kusuma Aditya Rizqiandry Saputra Adzan Zuhri Seknun Aep Rusmana Afdal Zikri Amanda Affandi Agung Laksono Afiffudin Afriyani Agustin Afriyanto Aga Satria Agusta Agus Baskoro Hidayat Agus Juliono Agus Kurniawan Agus Mujianto Ahmad Baihaqi Ahmad Bajuri Ahmad Fahmi Andrian Ahmad Fajri Ahmad Fauzi Ahmad Haidar Ahmad Nurkholis Ahmad Sya'bani Ahmad Syahroni Ahmad Taufiqi Ahya Mahfuzi Ahya Mahfuzie Ahzril Pria Adistya Aida Fithrotun Nisa Aini Salsabila Akbar Valentino Aksal Firmansyah Al Azhar Syukron Aldi Wibi Kusumah Aldiansyah Aldin Furqon Darmawan Aldiyansyah Aldy Nugraha Alfi Maulana Alfiansyah Awaludin Alfrianto Pratama Ginting Alif Daud Fadhulrahman Alif Nur Qalbani Alifia Puspaningsih Alin Lestari Alivia Sabrina Almaghribi Risandi Alpan Hidayat Alvin Nicolaus Alvino Octaviano Alya Azzahrah Muhjah Amalia, Resti Amanda Dwi Cahyani Putri Amaranullah Putra S. Ananda Safitri Andhika Nove Rezki Andhika Noviantara Andi Afif Nawawi Andrian Andriansyah Prastio Andriansyah Angga Sanjaya Syahputra Anggi Setiawan Anggiat Gabe Anisa Maulida Annis Syifa Ardila Putri Nur Karisma Dewi Ari Irfansyah Ari Sulistyo Wibowo Arich Herdiansyah Arief Maulana Thamrin Arief Nur Febrianto Arief Rahman Aripin Triyanto Arisky Rahmatulloh Ariyawan Sunardi Arniati Burara Arya Kurniasndi Arya Rangga S.N Arya Tunggal Narotama Aryana Muhammad Primansyah Asep Muhammad Junaedi Asep Sucipto Indra Sukma Asmat Astika Restiani Asya NurFaddillah Atina Fahma Rosyada Aulia Nurhuda Apriyandi Aura Amalia Warzuqni Ayni Suwarni Herry Azis Saputro Azis Suhendra Bagas Gilang Sudrajat Bastyan Fahri Siswanto Bayu Setiawan Billy Faizi Bimo Nugroho Nurcahyo Jati Bintang Hartawan Nugraha Bryan Farriq Reinaldy Candra Irawan Candra Permana Chindy Lestari Chory Aulia Puti Hakim Christiandrew Tjahja Cut Fatma Anwar D H Apriyanti Daffa Putera Zawahir Damar Wicaksono Darma Setiawan Putra Dede Imana Yulianto Dede Supriyadi Dedy Febiyanto Dendi Deny Bagus Septian Deri Arochman Devi Yunita Dhamar Galih Alfarizi Dhiva Marchandy Hanifsyah Dian Tiara Devi Kris Dicky Rizki Abdillah Diki Hidayat Dimas Aditya Dimas Kuncoro Jati Dimas Nugroho Dio Rahman Alfateh Dion Orlando Agustino Diski Apriana Diva Ikbar Rauf Divia Putri Sabilla Donny Herlangga Razak Dwi Nur Febrianto Dwi Putra Espy Bendanu Dwiki Alfandi Sholeh Dwiki Alfandi Sholeh Dyta Puji Lestari Dzaky Nafis Alfarizi Edi Setiawan Eggy Ryan Agvi Riansyah Egi Parwansyah Eka Windriyani Elang Pramana Putra Ericho Ilham Farelli Erni Ersandika January Nugrahadi Evi Prasetyani Fabian Syawali Fadhil Is Hakim Fadil Ardiansyah Fadlan Fadillah Fadly Krisna Fahmi Miftakhul Fuadi Fahrizal Artha Pangestu Faisal Irsyad Noer Farah Cahyana Ramadhani Faraj Hafidh Farhan Rahmadi Fajar Fari Adidan Farid Wijoyo Fatakhu naim Fathul Ghina Fatiah Amelia Fauzan Ardiansyah Fazril Arief Nugraha Febby Diansyah Febri Yanto Febrian Irfan Syafiq Firman Noer Rizal Firmansyah Firmansyah Fuad Abdul Aziz Fuad Azril Syamil Bayasef Fuad Mustamirrul Ishlah Gagan Hariyanto Galuh Surya Permana Gerry Sahala Sinaga Gilang Noor Cahyo Gilang Nur Dwiansyah Gustin Triani Habibullah Hablan Maulana Haerudin hafidz al amin Hafiz Ramadhan Hakim Fachriansyah Halim Wijaya hani sephani Hardiansyah Harefa, Kecitaan Haryo Dwi Prasetyo Hastuti Anggreani Helena Tamba Hendrik Louis Mahdi Hermawan Saputra Herry, Ny. Ayni Suwarni Hidayatullah Al Islami Hilman Firliansyah Himawan Darmaji I Gede Iwan Sudipa Ian Amukti Herlambang Ibnu Andriansyah Ibnu Nur Azis Iin Yunarsih Ikhwan Sukirman Ilham Farhandhany Imam Turmudi Imam Wahyu Julianto Indira Putri Shahne Indrawan Indrawan Ajie Pangestu Indri Junita Lestari Ines Hediani Ikasari Ines Heidiani Ikasari Intan Kumala Sari Iqbal Ardiansyah Iqbal Azhari Is'ad Iqbalsyah Khatami Iqbaludin Irawan, Barda Irfan Maulana Irvan Irvan Irwan Ahussalim Jagad Bachtiar Sunarto Jibran el Fansyuri Joko Priambodo Joko Priambodo Juhaendi Junaidi Ahmad Basori Kecitaan Harefa Kemal Khairul Biqa Kevin Tri Anggoro Khantaqwa Amri Khotibul Umam Koirunnisya Koirunnisya Krisna Yoda Dwi Prasetya Kukuh Ilham Perdana Lili Solihin Lutfi Ruhbi Syahdat Luzen Aji Budiman M. Hasan Salihamiziq M. Khoirusofi Mahdiyana Mahsa Nurfarhan Hidayat Marcellino Jonathan Marfel Crisly Martina Halimah Maulana Bintang Setiawan Maulana Eka Prasetyo Maksum Maulana Yusuf Mayrina Setiadi Mellyana Utami Meri Hendayani Mesran, Mesran Meti Martia Ningsih Mhd Ihsan Daulay Miftah Aziz Moch Agung Maulana Moch Koiru Ihksanudin Mochamad Aminnur Mochamad Dany Mochammad Badrus Soleh Moh.Ridzki Alif Maulana Mohamad Indra Mohammad Rio Rizal Cashmal Mokhamad Yusron Rafi Muchamad Muchrodi Muchlas Syahlanisyiam Muhamad Akbar Muhamad Aldi Septian Muhamad Ardy Kurniawan Ardy Muhamad Burhanudin Muhamad Dio Oktafani Muhamad Galih Aria Sunarso Muhamad Hari Isnanto Hari Muhamad Hasbi Hasidiqi Muhamad Husni Ramadhan Muhamad Irvan Vadilah Irvan Muhamad Jukahpin Muhamad Ridwan Wijaya Muhamad Ridzal Khasbullah MUHAMAD RIVAI RIVAI Muhamad Rizqi Muhamad Tarra Wratasanka Muhamad Zein Akbar Muhammad Adam Febrian Muhammad Adi Setiawan Muhammad Adji Assalmi Muhammad Afif Alrasyid Muhammad Afrizal Nur Muhammad Agung Prasetio Muhammad Akbar Fadillah Muhammad Alfito Risky Pratama Muhammad Aliyul Husna Muhammad Arrasyid Muhammad Atlant Modestio Muhammad Dzulkifli Hidayah Ramadhan Muhammad Fadhly Noor Rizqi Muhammad Fadil Ardiansyah Muhammad Faisal Muhammad Fauzan Arif Muhammad Fauzan Sabana Muhammad Fikri Arzyah Muhammad Firdaus Fitrananda Muhammad Ghozy Muhammad Hafiz Muhammad Hidayat Ilyas Muhammad Ikhlas Syahidan Zay Muhammad Ikhwal Muhammad Ilham Muhammad Ilham Syhani Muhammad Imam Al-Huda Muhammad Irfan Maulana Muhammad Naufal Yazid Muhammad Nur Fahrezi Muhammad Raehan Muhammad Rafi Athallah Muhammad Rangga Pradono Muhammad Rifky Adrian Ardani Muhammad Rifqi Fauzi Muhammad Rosdiana Muhammad Subhan Abdullah Muhammad Syahdan Gintana Muhammad Syam Noverick Muhammad Syaugi Muhammad Thoriqul Hafidz Muhammad Yasir Muhammad Yusuf Muhammad Zaid Akbar Ramadhan Muhammad Zaki Indriansyah Munandar Munandar Muzakki Hafizh Nabil Sanprima Nailah Rahdatul’Aisy Nanang Selamet Riyadi Nandi Pura Nugraha Naufal Surya Anggana Naufal S.A Nazila Iva Sugianisa Nisan Yedidiya Sorayana Mendrofa Normalisa Novara Luthfyani Nugroho Dwi Susanto Nur Ayu Apriyanti Nur Muhamad Rijki Nurhaliza Arfadilla Dilla Nurhasanah Nurhasanah Nurohman Nuryanti Tuto Suban Ny. Ayni Suwarni Herry Ny.Ayni Suwarni Herry Ocha Alfiano Oke Hariansyah Ovi Nur Afifa Pari Purnaningsih Pawit Wahib Perahim Tara Priambodo, Joko Priskila Br Siahaan Puji Raja Bagus Kausar Putri Rokhmayati Rachmatika, Rinna Raditya Radja Susun Pakpahan Rafael Muhamad Gibran fahrezi Rahman Aldiansyah Siregar Rahman Maulana Rahmat Adnan Fauzan Raihana Mutiarawati Raka Galih Pramuja Raka Mustakim Ramy Rajabil Daris Ramy Rajabil Daris Rani Rosada Ranita Claudia Br Purba Rasyad Athaya Ridya Rayyan Nurjihan Rehan Wisanggeni Resa Arfita H Resti Amalia Resti Amalia Restu Fajar Firmansyah Restu Fajar Sidhiq Retnawati Retnawati Reza Alif Anugrah Richky Adriyan Ricky Muharik Ridwan Al Husyairi Ridwan Hakim Rifaldi Rifqi Alif Darmawan Putra Rinaldi Prasya Rinawang Tyas Arinanto Rinna Rachmatika Rio Agung Pangestu Rio Ardy Milala risa satifa Riska Aryanti Riska Hapipah Riske Aulia Risky Ardiansyah Riyan Aji Nugroho Riza Adrian Maulana Rizal Jaelani Rizal Pahlevi Rizki Maulana Rizko Ramdhan Priatna Rizky Hanifudin Rizky Prasetyo Robbiul Jauza Erbila Robby Alvian Robby Jordan Ruslan Abu Honi Saeful Hasim Sakha Satrio Pambudi Salman Siregar Saprudin Saprudin Saprudin Saprudin, Saprudin Saputra Aimi Satria Anggara Fayyadh Alwaly Satria Putra Laksmana Sella Amelia Putri Sendi Hidayat Sergian Andi Hircan Agat Shafa Mahir Shendy Nurhidayat Shindy Qurani Rahim Sinangling Wangsiting Esthi Singgih Baskoro Sinta Nuriyah Siti Jukhoriyah Siti Marfirah Siti Nurjanah Sofa Sofiana Sootomosi Laia Stevianus Imanuel Salangka Sultan Aji Saputra Surya Adji Pangestu Sutisna Mustika Rahmat Syifa Khoirunnisa Taufik Hidayat Tiara Oktaviani Tifanny Patriane Andari Tri Widiayu Ningsih Trisna Ayu Silvia Tubagus Rangga Paksi Adi Jaya Ubaydillah Vania Aleem Santos Vito Fajariyadi Wahyu Dwi Prabowo Wahyu Iskandar Wahyu Syhabudin Wahyu Tri Cahya Wahyudin Waisul Kurni Widya Puspita Cahyani Wiji Prayogo Wildan Nur Alif Wildan Tino Fauzan Wisnu Gama Kusuma Wiwi Apriyanti Woro Agus Nurtiyanto Woro Agus Nurtiyanto Woro Agus Nurtiyanto Yarimani Laia Yarniwati Gulo Yayah Zakiyah YOGA ALDIAN PUTRA YOGA ALDIAN PUTRA Yoga Febriatala Yoga Pratama Yolanda Anggraini Yolen Perdana Sari Yordan Marcelino Marcus Yuanita Erfina Zahra Amelia Zaid Husaini Zaisul Muttabi Zakaria, Hadi Zara Agustin