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All Journal Tekno : Jurnal Teknologi Elektro dan Kejuruan ELKHA : Jurnal Teknik Elektro Mechatronics, Electrical Power, and Vehicular Technology Jurnal Simetris Bulletin of Electrical Engineering and Informatics Jurnal Informatika Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Pekommas Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) International Journal of Advances in Intelligent Informatics JURNAL NASIONAL TEKNIK ELEKTRO JOIV : International Journal on Informatics Visualization Al Ishlah Jurnal Pendidikan Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Knowledge Engineering and Data Science Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Sains dan Informatika Pendas : Jurnah Ilmiah Pendidikan Dasar SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan ILKOM Jurnal Ilmiah SENTIA 2017 SENTIA 2016 MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Lectura : Jurnal Pendidikan Prosiding SAKTI (Seminar Ilmu Komputer dan Teknologi Informasi) PEDULI: Jurnal Imiah Pengabdian Pada Masyarakat Infotekmesin Buletin Ilmiah Sarjana Teknik Elektro International Journal of Visual and Performing Arts Generation Journal Jurnal Mnemonic Frontier Energy System and Power Engineering Masyarakat Berdaya dan Inovasi SOSIOEDUKASI : JURNAL ILMIAH ILMU PENDIDIKAN DAN SOSIAL Community Development Journal: Jurnal Pengabdian Masyarakat Indonesian Journal of Data and Science Letters in Information Technology Education (LITE) Jurnal Graha Pengabdian Jurnal Abdimas Berdaya : Jurnal Pembelajaran, Pemberdayaan dan Pengabdian Masyarakat Science in Information Technology Letters International Journal of Engineering, Science and Information Technology International Journal of Robotics and Control Systems ALINIER: Journal of Artificial Intelligence & Applications Ilmu Komputer untuk Masyarakat SinarFe7 Jurnal Maklumatika Applied Engineering and Technology Jurnal Ekonomi, Bisnis dan Pendidikan (JEBP) Jurnal Inovasi Teknologi dan Edukasi Teknik PROSIDING SEMINAR NASIONAL PENELITIAN DAN PENGABDIAN KEPADA MASYARAKAT (SNPPM) UNIVERSITAS MUHAMMADIYAH METRO Bulletin of Social Informatics Theory and Application Karunia: Jurnal Hasil Pengabdian Masyarakat Indonesia Jurnal Informatika Polinema (JIP) ABDI UNISAP: Jurnal Pengabdian Kepada Masyarakat International Journal of Mechanical, Industrial and Control Systems Engineering Journal of Engineering and Technological Sciences Jurnal ilmiah teknologi informasi Asia Jurnal Elektronika dan Telekomunikasi
Anik Nur Handayani
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Teknologi Informasi Tentang Sebagai Dasar Transformasi Menjadi Masyarakat Digital Dan Industri 5.0 Muhammad Younas Darvish; Anik Nur Handayani
Jurnal Inovasi Teknologi dan Edukasi Teknik Vol. 2 No. 11 (2022)
Publisher : Universitas Ngeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um068v2i112022p522-526

Abstract

This abstract will provide an overview of the concept of a digital society and industry 5.0, which is a new paradigm of industry that focuses on the integration of advanced technologies with a human-centric approach. The digital society is an emerging trend where technology is transforming the way people live, work, and interact with each other. The type of factories 5.0 refers to the next phase of industrial revolution, where the focus is not just on automation, but also on empowering and augmenting human labor. The integration of advanced technologies, such as Artificial Intelligence (AI), Internet of Things (IoT), and Big Data, is enabling the creation of intelligent, human-centric systems that can interact with humans in a natural and intuitive way. This transformation is enabled by the advancements in Information Technology (IT), which have made it possible to create more intuitive and interactive systems. However, as we move towards Industry 5.0, it is important to keep in mind the importance of ethical and responsible use of technology to ensure that it benefits society. Abstrak ini akan memberikan gambaran tentang konsep masyarakat digital dan industri 5.0, yang merupakan paradigma baru industri yang berfokus pada integrasi teknologi canggih dengan pendekatan human centric. Masyarakat digital adalah tren yang muncul di mana teknologi mengubah cara orang hidup, bekerja, dan berinteraksi satu sama lain. Tipe pabrik 5.0 mengacu pada fase revolusi industri berikutnya, di mana fokusnya tidak hanya pada otomatisasi, tetapi juga pada pemberdayaan dan penambahan tenaga kerja manusia. Integrasi teknologi canggih, seperti Artificial Intelligence (AI), Internet of Things (IoT), dan Big Data, memungkinkan terciptanya sistem cerdas yang berpusat pada manusia yang dapat berinteraksi dengan manusia secara alami dan intuitif. Transformasi ini dimungkinkan oleh kemajuan Teknologi Informasi (TI), yang memungkinkan terciptanya sistem yang lebih intuitif dan interaktif. Namun, saat kita bergerak menuju Industri 5.0, penting untuk diingat pentingnya penggunaan teknologi yang etis dan bertanggung jawab untuk memastikan bahwa teknologi tersebut bermanfaat bagi masyarakat secara keseluruhan..
Permodelan pada Information Retrieval: Literature Review Erwina Nurul Azizah; Anik Nur Handayani
Jurnal Inovasi Teknologi dan Edukasi Teknik Vol. 2 No. 11 (2022)
Publisher : Universitas Ngeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um068v2i112022p527-535

Abstract

Information Retrieval (IR) is a technique for finding information stored in relevant sources according to user needs. There are various ways to use IR, but this paper focuses on modeling which is used as a framework for information retrieval. There are three types of IR models developed in this paper. IR modeling techniques will be explained as proposed in the literature with a detailed description of the modes, such as Boolean and Region models. Also included are the advantages and disadvantages of each model. Information Retrieval (IR) adalah teknik untuk menemukan sebuah informasi yang tersimpan pada sumber yang relevan sesuai dengan kebutuhan pengguna. Ada berbagai cara memanfaatkan IR, namun pada paper ini difokuskan pada permodelan yang dipakai sebagai kerangka dalam pengambilan informasi. Ada tiga jenis model IR yang dikembangkan pada paper ini. Teknik permodelan IR akan dijelaskan sesuai yang diusulkan di literatur dengan penjabaran terperinci tentang mode-model tersebut, seperti model Boolean dan Region. Disertakan juga keunggulan dan kelemahan masing-masing model.
Algoritma Peramalan Time Series Levenberg-Marquardt, Fuzzy, Backpropagation dan ARIMA (Autoregressive Integrated Moving Average) Much. Arafat Al Mubarok; Anik Nur Handayani
Jurnal Inovasi Teknologi dan Edukasi Teknik Vol. 2 No. 12 (2022)
Publisher : Universitas Ngeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um068v2i122022p541-549

Abstract

There are many methods used in forecasting, including forecasting using time series data. Forecasting using time series data is a favorite for forecasting both linear and non-linear data. Many researchers have contributed to the development of time series data analysis [1] such as C. Wang [2], Pouzols et al [3]. The results of this research literature study show that the Levenberg-Marquardt and Fuzzy algorithms are superior algorithms to the backpropagation and ARIMA algorithms. It is hoped that the results of this study can provide benefits to other researchers and can be used as a reference source. Terdapat banyak metode yang di gunakan dalam melakukan peramalan termasuk untuk melakukan peramalan menggunakan data time series. Peramalan menggunakan data time series menjadi favorit untuk melakukan peramalan baik data linier atau non linier. Banyak peneliti yang telah berkontribusi dalam pengembangan analisis data time series [1] seperti C. Wang [2], Pouzols et al [3]. Hasil studi literatur penelitian ini menunjukkan bahwa algoritma levenberg-marquardt dan fuzzy adalah algoritma yang lebih unggul daripada algoritma backpropagation dan ARIMA. Diharapkan hasil penelitian ini dapat memberikan manfaat bagi peneliti lain serta dapat di jadikan sumber rujukan.
MONITORING DAN KONTROLING BEBAN LISTRIK LABORATORIUM TERINTEGRASI JADWAL DAN DETEKSI MANUSIA UPAYA PENGHEMATAN ENERGI LISTRIK Achmad Safi’i; Anik Nur Handayani; Ira Kumalasari
SEMINAR NASIONAL PENELITIAN DAN PENGABDIAN KEPADA MASYARAKAT Vol 5 No 1 (2023): SNPPM 5 Universitas Muhammadiyah Metro
Publisher : Universitas Muhammadiyah Metro

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

Abstract

Konsumsi energi listrik yang semakin tinggi menjadi masalah global yang semakin serius, mengingat keterbatasansumber daya alam dan dampak negatifnya terhadap lingkungan. Perguruan tinggi sebagai pusat pendidikan danpenelitian memiliki peran dalam mengurangi penggunaan energi listrik yang tidak perlu di lingkungan kampus.Ruang laboratorium, sebagai salah satu fasilitas penelitian di kampus, menjadi sasaran penting untuk mengurangipenggunaan energi listrik yang tidak efisien. Namun, banyak laboratorium masih menggunakan sistem manualdalam mengontrol penggunaan energi listrik, dimana peralatan terus beroperasi bahkan saat tidak digunakan. Olehkarena itu, diperlukan sebuah sistem yang dapat mengontrol dan memonitor penggunaan energi listrik secaraotomatis di laboratorium. Tujuan penelitian ini adalah mengembangkan sebuah sistem dalam mengurangipenggunaan energi listrik yang tidak perlu di laboratorium dengan mengintegrasikan jadwal kuliah dan deteksimanusia sebagai kontrol beban listrik. Metode penelitian yang dilakukan yaitu: 1) Observasi; 2) Analisis Masalah;3) Pembuatan Sistem; 4) Uji Coba Sistem; 5) Evaluasi dan Laporan. Hasil penelitian yang telah dilakukandidapatkan: 1) Efisiensi energi listrik tercapai dengan menggunakan sistem otomatis yaitu mampu menghematpenggunaan energi listrik sebesar 72kWh (33,3%) tiap bulan; 2) Efisiensi anggaran untuk pembayaran listrik tiapbulan dapat tercapai dengan menggunakan sistem otomatis yaitu mampu menghemat pembayaran listrik sebesarRp. 109.641,6 (33,3%) tiap bulan.
Real-Time Obstacle Detection for Unmanned Surface Vehicle Maneuver Anik Nur Handayani; Ferina Ayu Pusparani; Dyah Lestari; I Made Wirawan; Aji Prasetya Wibawa; Osamu Fukuda
International Journal of Robotics and Control Systems Vol 3, No 4 (2023)
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijrcs.v3i4.1147

Abstract

The rapid advancement and increasing demand for Unmanned Surface Vehicle (USV) technology have drawn considerable attention in various sectors, including commercial, research, and military, particularly in marine and shallow water applications. USVs have the potential to revolutionize monitoring systems in remote areas while reducing labor costs. One critical requirement for USVs is their ability to autonomously integrate Guidance, Navigation, and Control (GNC) technology, enabling self-reliant operation without constant human oversight. However, current study for USV shown the use of traditional method using color detection which is inadequate to detect object with unstable lighting condition. This study addresses the challenge of enabling Autonomous Surface Vehicles (ASVs) to operate with minimal human intervention by enhancing their object detection and classification capabilities. In dynamic environments, such as water surfaces, accurate and rapid object recognition is essential. To achieve this, we focus on the implementation of deep learning algorithms, including the YOLO algorithm, to empower USVs with informed navigation decision-making capabilities. Our research contributes to the field of robotics by designing an affordable USV prototype capable of independent operation characterized by precise object detection and classification. By bridging the gap between advanced visualization techniques and autonomous USV technology, we envision practical applications in remote monitoring and marine operations with object detection. This paper presents the initial phase of our research, emphasizing significance of deep learning algorithms for enhancing USV navigation and decision-making in dynamic environmental conditions, resulting in mAP of 99.51%, IoU of 87.80%, error value of the YOLOv4-tiny image processing algorithm is 0.1542.
Peningkatan Pemasaran Pentingnya Legalitas Lengkap Dan Higienitas Produk Krupuk Pada Usaha Mikro Kecil Menengah Hakkun Elmunsyah; Sujito; Anik Nur Handayani; Arya Kusumawardana
Karunia: Jurnal Hasil Pengabdian Masyarakat Indonesia Vol. 2 No. 4 (2023): Desember : Jurnal Hasil Pengabdian Masyarakat Indonesia
Publisher : Fakultas Teknik Universitas Maritim AMNI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58192/karunia.v2i4.1214

Abstract

This community service is located in Mulyoagung Village, Dau District, Malang Regency. The problem faced by partners is the lack of a guarantee of business legality. The next problem is product packaging and labels that are less attractive and do not meet standards, which make it difficult to market products. Solutions that can be proposed with training and assistance to obtain a business license or business legality certificate are in the form of business identification numbers (NIB), home industry food production certificates (SPP-IRT), labels and brands, and product halal guarantees. There is training and assistance in making product packaging and labels, considering that packaging is a very important factor for maintaining quality and attracting customers to buy products when they are marketed. In addition, training and assistance for entrepreneurs in using information technology to market products to a wider market online and offline.
IMPROVING THE QUALITY OF LEARNING IN THE TKJ DEPARTMENT THROUGH THE LINE FOLLOWER ROBOT TRAINER AT SMK NU 1 KARANGGENENG Wahyu Tri Handoko; Moh Zainul Falah; Abdullah Iskandar Syah; Muhammad Holqi Rizki Azhari; Putri Galuh Ningtiaz; Anik Nur Handayani
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 4 No. 5 (2023): Volume 4 Nomor 5 Tahun 2023
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v4i5.19671

Abstract

Permasalahan yang terjadi di Sekolah Menengah Kejuruan (SMK) saat ini kurangnya kualitas produk, sarana dan prasarana yang belum menunjang kegiatan pembelajaran dan kerja sama antar Perusahaan, instantasi pemerintah maupun universitas. Akan tetapi beberapa permasalah tersebut dapat diatasi dengan melakukan berkoordinasi dan bersinergi antara perguruan tinggi dan sekolah vokasi melalui program kegiatan pengabdian kepada Masyarakat yang salah satunya dengan mengenalkan trainer robot line follower untuk siswa jurusan TKJ. Kontribusi dalam program ini yaitu Universitas Negeri Malang melalui program pengabdian mahasiswa bekerjasama dengan SMK NU 1 Karanggeneng dengan melaksanakan kegiatan pelatihan trainer robot line follower untuk siswa jurusan TKJ guna meningkatkan mutu belajar.  Metode pengabdian yang digunakan untuk penyelesaian trainer ini adalah ADDIE (Analyze, Design, Development, Implementation and Evaluation) dengan model pembelajaran implementasi teori dan praktek. Pada tahap terakhir akan dilakukan evaluasi pelatihan. Kegiatan pengabdian kepada Masyarakat ini berupa pelatihan yang dibagi menjadi beberapa kegiatan diantaranya sosialisasi program pelatihan trainer robot line follower, implementasi robot line follower dalam dunia industri dan evaluasi pelatihan. Kesimpuan dari kegiatan ini menyatakan bahwa siswa dapat meningkatkan kemampuan pengetahuan dan pemahaman tentang robot line follower.  
Pengembangan Sistem Face Recognition menggunakan Cloud Service, Raspberry Pi dan Convolutional Neural Network (CNN) Rosa Andrie Asmara; Muhammad Ridwan; Gunawan Budi P; Anik Nur Handayani
Jurnal Informatika Polinema Vol. 9 No. 1 (2022): Vol 9 No 1 (2022)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v9i1.1181

Abstract

Wajah manusia menjadi bagian terpenting dalam tubuh manusia sebagai karakteristik masing-masing individu manusia. Wajah juga memiliki tekstur yang lebih kaya dan area yang luas. Teknik pengenalan wajah telah dilakukan oleh banyak peneliti dengan berbagai macam metode dan pendekatan. Implementasi tentang Cloud Server untuk penyimpanan data Real Time menggunakan Raspberry Pi telah diterapkan. Peneliti tersebut telah membangun Server Cloud Private yang dapat diatur di Raspberry Pi dan digunakan sebagai perangkat penyimpanan untuk aplikasi real time. Hasil dari penerapan ini adalah penggunaan Raspberry Pi, mikroprosesor dengan harga terjangkau. Komputasi dilakukan menggunakan layanan cloud computing, dikarenakan spesifikasi perangkat keras pada Raspberry Pi yang tidak terlalu baik. Infrastruktur cloud computing dapat diperoleh dengan menggunakan platform Cloud yang disediakan oleh vendor cloud tertentu. Penggunaan Cloud sebagai monitoring melalui pengenalan wajah menggunakan metode Gabor dan fitur CS-LBP diterapkan oleh peneliti. Sedangkan penulis tertarik ingin mengembangkan sistem Face Recognition menggunakan Cloud Service pada Raspberry Pi, menggunakan metode Convolutional Neural Network (CNN). Dari hasil pengujian metode deteksi wajah antara Haar Cascade dengan CNN dengan berbagai variasi dan kondisi dari data pengujian, untuk Haar Cascade diperoleh akurasi rata-rata sebesar 81,12%, sedangkan jika menggunakan CNN diperoleh akurasi sebesar 86,53%. Pada pengujian encoding pengenalan wajah dengan CNN, tingkat akurasi yang lebih tingkat tinggi diperoleh jenis model pengenalan arcface yakni 67,69% sedangkan facenet hanya memperoleh akurasi 66,46%.
Implementation of Mamdani Fuzzy Logic on PLN Electricity Sales in East Java Muhammad Hafiizh; Muchamad Wahyu Prasetyo; Aripriharta Aripriharta; Anik Nur Handayani
Frontier Energy System and Power Engineering Vol 5, No 1 (2023): January
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um049v5i1p32-40

Abstract

This research aims to provide innovation in the development of a smarter and more adaptive electricity distribution system, able to face the challenges that arise in the digital era. The results of this research can be a guide in improving the efficiency and reliability of electricity sales. The experimental method is applied by implementing mamdani fuzzy logic on PLN electricity sales data in East Java. From the results of the application of mamdani fuzzy by comparing the prediction results with the original data, the Mean Absolute Error (MAE) result is 0.17% and the Root Mean Squared Error (RMSE) value is 0.21%. So it can be concluded that fuzzy logic mamdani method can be used in predicting electricity sold and provide valuable guidance for PLN in improving the efficiency and reliability of electricity sales in the East Java region in a sustainable manner.
The use of social media for earthquake and Tsunami information Handayani, Anik Nur; Suciati, Reski Dwi; Qomaria, Ulfa; Lestari , Widya; Nugraha, Youngga Rega; Machumu, Paul Igunda
Bulletin of Social Informatics Theory and Application Vol. 7 No. 1 (2023)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v7i1.97

Abstract

As one of the countries being passed by the Pacific Fire Circle (Ring of Fire), Indonesia is prone to earthquakes. Recently, an earthquake and tsunami occurred. A new disaster occurred in Central Sulawesi, Indonesia, resulting in the destroyed buildings and houses. This occurrence of the disaster was quite shocking to various countries. News of the occurrence of natural disasters immediately went viral through various social media due to the residents' and BMKG's posts. Social media is greatly involved in natural disaster cases as it facilitates analysis on the conditions and situations of earthquake-affected areas. Besides, it also functions to disseminate earthquake information. By using social media, such as Twitter and Facebook, we may rescue the directly affected individuals. It can also be means of sharing information and ways for people in and outside disaster-affected areas to volunteer and provide support-based information to affected individuals. Additionally, social media can perform important assistance functions such as identification of safety, placement of displaced people, provision of damage information, support for disabled people, volunteer organizations, fundraising, and a moral support system. This study discusses the potential usage of social media in disaster preparedness and response, especially in Central Sulawesi, Indonesia, earthquakes and tsunamis.
Co-Authors A.N. Afandi Abdullah Iskandar Syah Achmad Hamdan Achmad Safii Achmad Safi’i Achmad Safi’i Adi Izhar Bin Che Ani Adi Prastowo, Nur Kodrad Adib Nur Sasongko Adim Firmansah Afandi, Farrel Candra Winata AFIF, ACHMAD Agung Bella Putra Utama Agusta Rakhmat Taufani Ahmad Dardiri Ahmad Kholish Fauzan Shobiry Ahmad Munjin Nasih Ahmad Nurdiansyah Ahmad Sahru Romadhon Aji Prasetya Wibawa Alifia Fitri Wahyudi Amaliya, Sholikhatul Andrew Nafalski Anita Qotrun Nada Anusua Ghosh Aqdam, Yutsabitul Ardiansyah, Lucky Arengga, Danang Ari Priharta Ari Priharta Arif Widodo, Baskoro Aripriharta Aripriharta - Ariyanta, Nadindra Dwi Asfani, Khoirudin Atmaja, Muhammad Bayu Setya Wahyu Ayu Puspita Azhryl Assagaf Aziz, Faiz Syaikhoni Azizah, Desi Fatkhi Bagaskoro, Muhammad Cahyo Baihaqi, Dimas Imam Baihaqi, Dimas Imam Baskoro Arif Widodo Bayu Prasetyo Bayu Prasetyo, Bayu Bin Che Ani, Adi Izhar Burhanuddin, Mohd Aboobaider Chalista Yulia Hazizah Chandrika, Katya Lindi Chuttur, Mohammad Yasser Damanhuri, Nor Salwa Damayanti, Farradila Ayu Damayanti, Masyita Danang Arengga Danang Arengga Wibowo Dedes, Khen Desi Fatkhi Azizah Devita Maulina Putri, Devita Maulina Dewi Aprilia Lintang Dhiyaurrahman Fakhruddin Didik Dwi Prasetya Difa Hananta Firdaus Am Dika Fikri L Dimas Wahyu Wibowo Dityo Kreshna Argeshwara Dityo Kreshna Argeshwara Dolly Indra Dwi Prihanto Dyah Lestari Dyah Rosita Anggraeni Edinar Valiant Hawali Edwin Meinardi Trianto Eka Rahayu Setyaningsih Eko Noerhayati Erwina Nurul Azizah Evania Yafie F.ti Ayyu Sayyidul Laily Faiz Syaikhoni Aziz Faqih, Kamil Faradhila Saffa Dhamira Farah Nisa’ Salsabila Fauzi, Juwita Annisa Fauzi, Rochmad Felix Andika Dwiyanto Ferina Ayu Pusparani Fidyah Ajeng Wulandari Fukuda, Osamu Gavyn Rafael Davasco Gianika Roman Sosa Graciello, Manuel Tanbica Gunawan Budi P Guyub Raharjo Gwo-Jiun Horng Haffas Zikri Ariyandi Hakkun Elmunsyah Halimahtus Mukminna, Halimahtus Harits Ar Rasyid Harits Ar Rosyid Hariyono Hariyono Hartarto Junaedi Hary Suswanto Heru Herwanto Heru Wahyu Herwanto Hirashima, Tsukasa Hitipeuw, Emanuel Hosen, Moh I Made Wirawan Ida Ayu Putu Sri Widnyani Ihsan Al-Fikri Imam Tree Utomo Imanuel Hitipeuw Ira Kumalasari Irfan Ramadhani Irham Fadlika Jehad A. H. Hammad Jehad A.H. Hammad Jevri Tri Ardiansah Jevri Tri Ardiansah Julfikar Mawansyah Kamil Faqih Kartika Candra Kirana Kartika Kirana Kasmira, Kasmira Katya Lindi Chandrika Khurin Nabila Kinasih, Agnes Nola Sekar Kirom, M Kohei Arai Kohei Arai Kohei Arai Kohei Arai Korba, Petr Kurniawan, Wendy Cahya Kusumawardana, Arya Laili, Mery Nur Laily, F.ti Ayyu Sayyidul Laistulloh, Dika Fikri Lalu Ganda Rady Putra Langlang Gumilar Larasati, Jade Rosida Leonel Hernandez, Leonel Lestari , Widya Liang, Yeoh Wen Liang, Yoeh Wen lilis nurhayati M. Adib Nursasongko M. Nuzuluddin M. Rodhi Faiz M. Rodhi Faiz Machumu, Paul Igunda Mahamad, Abd Kadir Manga, Abdul Rachman Maqbullah, Afwatul Marga Asta Jaya Mulya Maula Zikri Renaldi Ming Foey Teng, Ming Foey Moch Haris Purwanto Moh Zainul Falah Moh. Zainul Falah Mohammad Agung Rizki Mohammad Muzayyin Amrulloh Mohammad Rizky Kurniawan Mohammad Yussril Asri Mohsen Samadi Mokh Sholihul Hadi Much. Arafat Al Mubarok Muchamad Wahyu Prasetyo Muchamad Wahyu Prasetyo Muhamad Arifin Muhamad Arifin, Muhamad Muhammad Alfan Muhammad Arifin Muhammad Hafiizh Muhammad Holqi Rizki Azhari Muhammad Iqbal Akbar Muhammad Jauharul Fuady Muhammad Ridwan Muhammad Ulinnuha Musthofa Muhammad Younas Darvish Muhammad Zaki Wiryawan Muhammad Zaky Rahmatsyah Muladi Mumtaazah, Muhammad Athar Mutiara, Titi Nadindra Dwi Ariyanta Nailah Aliya Putri Nandang Mufti Nastiti Susetyo Fanani Putri Nastiti Susetyo Fanani Putri Nastiti Susetyo Fanany Putri Naufal Rizaldi Gunawan Nisa, Khoirotun Nizaar, Roub Nor Salwa Damanhuri Norma Mustika, Soraya Norzanah Rosmin Norzanah Rosmin Nugraha, Agil Zaidan Nugraha, Youngga Rega Nunung Nurjanah Nur Eva Nur Halim Nur Rahma, Andika Bagus Nurul Rismayanti Nurus Sihab Aminudin Nuzuluddin, M. Osamu Fukuda Panji Ageng Timor Pamungkas Prasetya Widiharso Prasetya Widiharso Prasojo, Fadillah Pratama, Awanda Setya Sanfajar Pratama, Diaz Octa Priharta, Ari Primadi, Wahyu Purnomo, Purnomo Putra Utama, Agung Bella Putri Galuh Ningtiaz Qomaria, Ulfa Rafli Indar Praja Rahman, Nukleon Jefri Nur Rahmat Samudra Anugrah, Muhammad Ramadhan, Aslan Poetra Ramadhani, Lolita Resty Wulanningrum Reza Setyawan Ria Febrianti Rini Nur Hasanah Rochmawati Rochmawati Rochmawati Rochmawati Romadlon, Muhammad Rizqi Rosa Andrie Asmara Rosyidin, Zulkham Umar Rusdha Aulia Salah Abdullah Khalil Abdulrahman Salsabila, Reni Fatrisna Saodah Omar Selly Handik Pratiwi Seno Isbiyantoro Setyaningsih, Eka Rahayu Sevilla, Felix Rafael Segundo Siti Sendari Slamet Wahyudi Slamet Wibawanto Soraya Norma Mustika Soubin Sisavath Srini Suciati, Reski Dwi Suryani, Ani Wilujeng Suti Mega Nur Azizah Suziyani Mohamed Syaad Patmantara Syaad Patmanthara Syaghlu Natsalam Saputra Syaichul Fitrian Akbar Syamsul Bahri Taiga Haruta Taw, Phillip Teguh Andriyanto, Teguh Timothy John Pattiasina Titaley, Gilberth Valentino Tony Yu Tran Thi Hao Triyanna Widiyaningtyas Tsukasa Hirashima Urnika Mudhifatul Jannah Utama, Agung Bella Putra Utomo Pujianto Veithzal Rivai Zainal Wahyu Arbianda Yudha Pratama Wahyu Irianto Wahyu Nur Hidayat Wahyu Primadi Wahyu Sakti Gunawan Irianto Wahyu Styo Pratama Wahyu Tri Handoko Wibawa, Aji Presetya Wibowo, Kusmayanto Hadi Wicaksana, Ardi Anugerah Widiharso, Prasetya Widyadara , Made Ayu Dusea Wijaya, Mikel Ega Wirawan, Muhammad Zaki Wiryawan, Muhammad Zaki Yogi Dwi Mahandi Yosi Kristian Yu, Tony Yudha Islami Sulistya Yuliana Melita Pranoto Yuni Rahmawati Yusuf Tri Hadi Mulyana Zaeni, Ilham Ari Elbaith Zufida Kharirotul Umma Zulkham Umar Rosyidin Zulkham Umar Rosyidin Zulkifli, Shamsul Aizam