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All Journal International Journal of Electrical and Computer Engineering Jurnal Rekayasa Proses Pixel : Jurnal Ilmiah Komputer Grafis TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Pekommas Indonesian Journal of Educational Review (IJER) Journal of Environmental Engineering and Sustainable Technology Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Informatika dan Teknik Elektro Terapan Indonesian Journal on Computing (Indo-JC) Jurnal Inspiration JOIN (Jurnal Online Informatika) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Creative Information Technology Journal JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JFMR (Journal of Fisheries and Marine Research) INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi JIKO (Jurnal Informatika dan Komputer) Journal of Electrical Technology Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control CogITo Smart Journal Insect (Informatics and Security) : Jurnal Teknik Informatika JITK (Jurnal Ilmu Pengetahuan dan Komputer) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Applied Information System and Management Jurnal Rekayasa Proses JURNAL EDUCATION AND DEVELOPMENT MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer J-SAKTI (Jurnal Sains Komputer dan Informatika) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) CSRID (Computer Science Research and Its Development Journal) Informasi Interaktif Building of Informatics, Technology and Science Progresif: Jurnal Ilmiah Komputer Journal of Sustainable Engineering: Proceedings Series SENSITEK E-JURNAL JUSITI : Jurnal Sistem Informasi dan Teknologi Informasi Jurnal Teknologi Informasi dan Multimedia bit-Tech Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Dielektrika : Jurnal Ilmiah Kajian Teori dan Aplikasi Teknik Elektro Respati Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics G-Tech : Jurnal Teknologi Terapan JIKA (Jurnal Informatika) Journal of Innovation Information Technology and Application (JINITA) Jurnal Informa: Jurnal Penelitian dan Pengabdian Masyarakat Infotek : Jurnal Informatika dan Teknologi jurnal syntax admiration Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara) Jurnal Ilmiah Publika Jurnal Teknik Informatika (JUTIF) Jurnal Teknimedia: Teknologi Informasi dan Multimedia Journal of Electrical Engineering and Computer (JEECOM) Information System Journal (INFOS) Buletin Poltanesa Jurnal Senopati : Sustainability, Ergonomics, Optimization, and Application of Industrial Engineering INFOSYS (INFORMATION SYSTEM) JOURNAL J-SAKTI (Jurnal Sains Komputer dan Informatika) Research Fair Unisri Jurnal Ilmiah IT CIDA : Diseminasi Teknologi Informasi Jurnal Dinamika Informatika (JDI) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Teknik Informatika Journal of Comprehensive Science Jurnal Indonesia Sosial Teknologi Ceddi Journal of Information System and Technology (JST) SmartComp Teknomatika: Jurnal Informatika dan Komputer Advance Sustainable Science, Engineering and Technology (ASSET) JURNAL MULTIDISIPLIN BHATARA Jurnal Pengabdian Indonesia
Arief Setyanto
Universitas Amikom Yogyakarta
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry 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 Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Social Sciences Other

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Enhancing COVID-19 forecasting through deep learning techniques and fine-tuning López, Alba Puelles; Martínez-Béjar, Rodrigo; Kusrini, Kusrini; Setyanto, Arief; Agastya, I Made Artha
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 1: February 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i1.pp934-943

Abstract

In this study, a comprehensive analysis of classical linear regression forecasting models and deep learning techniques for predicting coronavirus disease of 2019 (COVID-19) pandemic data was presented. Among the deep learning models, the long short-term memory (LSTM) neural network demonstrated superior performance, delivering accurate predictions with minimal errors. The neural network effectively addressed overfitting and underfitting issues through rigorous tuning. However, the diversity of countries and dataset attributes posed challenges in achieving universally optimal predictions. The current study explored the application of the LSTM in predicting healthcare resource demand and optimizing hospital management to provide potential solutions for overcrowding and cost reduction. The results showed the importance of leveraging advanced deep learning techniques for improved COVID-19 forecasting and extending the application of the models to address broader healthcare challenges beyond the pandemic. To further enhance the model performance, future work needed to incorporate additional attributes, such as vaccination rates and immune percentages.
OPTIMALISASI PROSES PEMBAHARUAN LOCATOR PADA KODE OTOMATIS SELENIUM DENGAN MENGGUNAKAN PAGE OBJECT MODEL Ramdhani, Mohamad Dhicy; Setyanto, Arief; Ariatmanto, Dhani
Jurnal Informatika Vol 8, No 1 (2024): JIKA (Jurnal Informatika)
Publisher : University of Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jika.v8i1.9710

Abstract

Pengujian aplikasi adalah proses penting pada pengembangan perangkat lunak. Salah satu cara mempercepat pengujian aplikasi dengan menggunakan teknik pengujian otomatis menggunakan selenium webdriver. Teknik ini menggunakan kode otomatis yang disusun di dalam sebuat test case. Pada test case terdapat langkah pengujian yang terdiri dari banyak locator. Locator merupakan query untuk mengakses element pada website yang merepresentasikan objek yang diakses oleh pengguna seperti tombol, input teks dan lainnya. Locator yang sama bisa digunakan pada test case yang berbeda Pada penelitian sebelumnya, automatisasi pengujian perangkat lunak berbasis website terbukti meningkatkan waktu uji yakni 30 detik lebih cepat dibandingkan proses pengujian secara manual. Namun pada penelitian tersebut tidak dibahas bagaimana proses pembaharuan locator yang efektif ketika terjadi perubahan struktur sistem aplikasi. Penelitian ini bertujuan untuk mengoptimalisasi proses pembaharuan kode automatisasi dengan mengolah data locator menggunakan teknik page object modelling (POM) pada halaman login website. Setiap locator ditempatkan pada satu tempat yang disebut dengan repositori sehingga proses pembaharuan locator dilakukan secara sentralisasi pada repositori tanpa harus mencari dan membuka test case satu per satu.Hasil penelitian menunjukkan efisiensi sebesar 14.28 % lebih cepat jika dibandingkan dengan proses pembaharuan tanpa metode POM
IDENTIFICATION OF TYPES AND VOLUMES OF FISH PRODUCTION IN THE FISHERIES SECTOR UPT PPP PONDOKDADAP, MALANG REGENCY Ariefandi, Muhammad Fikri; Kudrati, Amelinda Vivian; Tyas, Herlin Widi Aning; Al Maky, Nuril Huda; Yorarizka, Putri Devi; Pangestu, Wanda Suryani; Putri, Berlania Mahardika; Fathah, Aulia Lanudia; Isdianto, Andik; Setyanto, Arief; Andrimida, Anthon
Journal of Environmental Engineering and Sustainable Technology Vol 10, No 01 (2023)
Publisher : Directorate of Research and Community Service (DRPM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jeest.2023.010.01.5

Abstract

The fisheries sector is one of the sectors with great potential for the Indonesian economy. East Java has a large fishing enterprise, which is due to the spread of fish landing bases and an active role in promoting local fishing production, one of which is the beach fishing port (PPP) Pondokdadap. The aim of this study is to obtain information on the types and volumes of fish production captured in the PPP Pondokdadap in May and June 2022. The method used by the author in conducting this research is a qualitative-descriptive approach. According to the results of research, during May 2022, the production of fish captured in PPP Pondokdadap amounted to 1,813 tonnes. In June, the capture amounted to 1,605 tonnes. There was a decrease in production volume of 207 tonnes, or about 11%. There are 10 species of fish captured, dominated by tuna
UNLOADING OF FISH ACTIVITIES AT SENDANG BIRU, COASTAL FISHERIES PORT (PPP) PONDOKDADAP, MALANG REGENCY Al Maky, Nuril Huda; Isdianto, Andik; Ariefandi, Muhammad Fikri; Kudrati, Amelinda Vivian; Tyas, Herlin Widi Aning; Yorarizka, Putri Devi; Pangestu, Wanda Suryani; Setyanto, Arief; Bintoro, Gatut; Putri, Berlania Mahardika; Fathah, Aulia Lanudia; Andrimida, Anthon; Luthfi, Oktiyas Muzaky
Journal of Environmental Engineering and Sustainable Technology Vol 10, No 01 (2023)
Publisher : Directorate of Research and Community Service (DRPM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jeest.2023.010.01.2

Abstract

The fishing port, which acts as a public agency, provides services and facilitates fishing activities for fishermen. One indicator that the service provided is already optimal is the minimum number of vessels in the process of dismantling fish in the port. The study aims to find out the fishing landing system and the number of ships that landed during the period September–August 2022. The method used is directly through field observations and collecting secondary data to supplement the data obtained. The system applied to each port is different. The port of Pondokdadap applies the queue method as well as the system of nahkoda, where the ship's documents must be submitted and the fisherman's number taken before landing. Boats that want to sell fish to the TPI must be equipped with a catch letter. In the period September–August 2022, the highest number of ships was found in June 2022, with 603. For the smallest number in January 2022, there were 22 ships. Based on the results obtained, it is known that the period of April–September has the highest number, while there is a decrease in the number in October–March. There was an increase in the number of vessels that carried out fishing, which was affected by the fishing season, with the high season in the Eastern season.
Systematic Literature Review terhadap Klasifikasi Emosi pada Lirik Lagu Berbahasa Ambon menggunakan Metode Bidirectional LSTM dengan Glove Word Representation Weighting Kholida Zia Abidin; Arief Setyanto; Rudyanto Arief
Pixel :Jurnal Ilmiah Komputer Grafis Vol 16 No 2 (2023): Vol 16 No 2 (2023): Jurnal Ilmiah Komputer Grafis
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/pixel.v16i2.1641

Abstract

One form of text that can express emotions is lyrics. Lyrics are a type of literary work expressed in the form of words, the contents of which can express the songwriter's personal feelings, thoughts, and emotions. Therefore, the lyrics can be used as an object of research on the classification of emotions. The classification of song lyrics really requires bi-LSTM to be the input value when classifying data in the form of song lyrics in order to get high accuracy results. This research was carried out systematically and the results were measurable. Descriptive qualitative research was used in this research. The results of identification based on case studies and statistics show that the reviews of popular topics are identical. The classification of song lyrics really requires bi-LSTM to be the input value when classifying data in the form of song lyrics in order to get high accuracy results.
Studi Literatur Mengenai Prediksi Kepuasan GrabFood Menggunakan Machine Learning Martiani, Evi; Setyanto, Arief; Nasiri, Asro
DIELEKTRIKA Vol 11 No 1 (2024): DIELEKTRIKA
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/dielektrika.v11i1.367

Abstract

The rapid growth of food delivery applications, such as GrabFood, has revolutionized the way consumers access and enjoy their favorite meals. Ensuring customer satisfaction is crucial for these platforms to maintain their competitive edge and foster customer loyalty. If many customers are not satisfied with the service or anything provided by GrabFood, it is possible that they will leave the application soon or later. This research is aimed to review some literature related to customer satisfaction of the food delivery application with the use of machine learning. From this review, one can have more information and insight on how machine learning can help to find the satisfaction level of the customers. The method which is used in this research is literature review which reviews the collection of literature. Varied literature with different variables has been resulted from this research. Many of them use different methods of machine learning.
Packet Filtering Based On Differentiated Services Code Point For DHCP Starvation Attacks Prevention Sarip, nfn; Setyanto, Arief
Jurnal Pekommas Vol 4 No 2 (2019): October 2019
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jpkm.2019.2040204

Abstract

The use of the internet today has become a necessity, the most commonly used media to connect to the internet is a Wireless LAN network. For easy access to the network, DHCP service become a standard feature that must exist, because ordinary users no longer need to think about procedures for configuring IP addresses, all of which have been done automatically by the DHCP service. But it turns out that there is a security threat to DHCP service, namely DHCP Starvation attacks that can be exhausting the availability of IP addresses in DHCP service so that the configuration of IP address automatically can no longer be done on the client. Various methods such as authentication, cryptography, and machine learning are used by researchers in preventing DHCP Starvation attacks, but the issue of effectiveness and efficiency still opens up further research opportunities. In this research, packet filtering methods based on DSCP code applied to the Netfilter system are used to do prevention of DHCP Starvation attacks, this method has proven to be very effective in making prevention and more efficient when applied on small scale wireless networks such as at office networks and internet cafe.
SEBARAN TOTAL SUSPENDED MATTER DAN ARUS UNTUK MELINDUNGI LINGKUNGAN PESISIR DI MUARA SUNGAI GLIDIK, LUMAJANG Andik Isdianto; Muhammad Javier Irsyad; Rarasrum Dyah Kasitowati; Aulia Lanudia Fathah; Arief Setyanto; Berlania Mahardika Putri; Supriyadi Supriyadi
JURNAL EDUCATION AND DEVELOPMENT Vol 12 No 2 (2024): Vol 12 No 2 Mei 2024
Publisher : Institut Pendidikan Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37081/ed.v12i2.5740

Abstract

Total Suspended Matter (TSM) merupakan keseluruhan zat padat atau partikel-partikel yang tersuspensi dalam perairan. Apabila kadarnya berlebih, dapat mengakibatkan perubahan lingkungan dan penurunan kualitas perairan. Muara Sungai Glidik dipengaruhi oleh aktivitas antropogenik dan hasil erupsi Gunung Semeru, di mana kedua hal ini menyebabkan banyaknya TSM yang berada di sekitar muara tersebut. Tujuan penelitian ini untuk mengetahui kondisi arus, kadar dan persebaran TSM, serta melihat korelasi kedua variabel tersebut. Metode purposive random sampling dengan mengambil data TSM dan kecepatan arus secara primer dan sekunder pada 4 stasiun pengamatan di Muara Sungai Glidik. Hasil Kecepatan arus tertinggi di badan sungai yaitu berkisar 1,28 m/s dan kecepatan arus terendah di laut bagian timur yaitu berkisar 0,56 m/s. Perkembangan TSM dari Tahun 2000-2020 mengalami fluktuasi setiap 5 tahunnya secara berturut-turut tahun 2000-2005 terjadi kenaikan konsentrasi sebesar 269,91%, tahun 2005-2010 terjadi penurunan konsentrasi sebesar 47,85%, Tahun 2010-2020 terjadi kenaikan konsetrasi tertinggi sebesar 292,12%. Fluktuasi ini disebabkan oleh faktor manusia dan alam. Korelasi antara kecepatan arus terhadap TSM sebesar 0.94 yang menandakan hubungan yang sangat kuat dan positif. Terdapat hubungan yang sangat kuat antara kecepatan arus terhadap TSM, yang berarti semakin tingginya kecepatan arus maka nilai TSM juga akan meningkat.
Evaluasi Trade-off Akurasi dan Kecepatan YOLOv5 dalam Deteksi Kebakaran pada Edge Devices Rahmad Arif Setiawan; Arief Setyanto
Jurnal Syntax Admiration Vol. 5 No. 11 (2024): Jurnal Syntax Admiration
Publisher : Syntax Corporation Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/jsa.v5i11.1626

Abstract

Real-time object detection using the YOLO (You Only Look Once) algorithm has shown promising performance in various computer vision applications. However, its application on devices with limited resources is still a challenge due to its high computational requirements. This study aims to optimize the YOLOv5 model for fire and smoke detection on Orange Pi Zero 3 devices using quantization techniques. Using a dataset of 2247 fire and smoke images, this study applies static quantization techniques to improve model efficiency. The methodology includes training of standard YOLOv5 models, conversion to ONNX format, and application of static quantization. Results show a significant improvement in computational efficiency, with a 42.2% reduction in model size and a 65.21% increase in inference speed. Despite a decrease in the mAP value by 25.6%, the optimized model was still able to perform object detection at a significantly higher speed. In conclusion, the quantization technique is effective in optimizing the YOLOv5 model for deployment on edge computing devices, despite the trade-off between speed and accuracy.
Klasifikasi Penyakit Daun Apel Menggunakan Arsitektur CNN dengan Transfer Learning Rahman, Aulia Tegar; Setyanto, Arief; Fatta, Hanif Al
Jurnal SENOPATI : Sustainability, Ergonomics, Optimization, and Application of Industrial Engineering Vol 6, No 1 (2024): Jurnal SENOPATI Vol 6, No 1
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.senopati.2024.v6i1.6574

Abstract

Salah satu hasil produk pertanian subtropis yang dapat ditanam di Indonesia adalah apel. Dalam budidaya apel, pengendalian hama dan penyakit merupakan salah satu faktor kunci dalam perkembangan tanaman apel, karena dapat mempengaruhi hasil apel. Salah satu teknologi yang berkembang pesat dalam pendeteksian atau diagnosis penyakit tanaman dapat menyederhanakan proses klasifikasi penyakit tanaman khususnya penyakit daun apel dan membantu dalam diagnose dini adalah deep learning. Terdapat salah satu arsitektur deep learning yang dapat digunakan dalam klasifikasi citra, salah satunya Convolutional Neural Networks (CNN). Arsitektur CNN dengan transfer learning yang menghasilkan nilai akurasi yang masih bisa diterima, waktu yang diperlukan pendek pada klasifikasi penyakit daun apel. Hasil dari klasifikasi penyakit daun apel dengan VGG16 mendapatkan akurasi sebesar 99,31 %.
Co-Authors (Menunda Publikasi) Abdillah, M A Agastya, I Made Artha Agung Budi Prastyo Agung Nugroho Agung, Kris Agus Sukarno Agus Tumulyadi Agustina Rahmawati Ahmad Afief Amrullah Ahmad Afief Amrullah Ahmad Naufal Labiib Nabhaan Ahmad Tantoni Ainul Yaqin Al Maky, Nuril Huda Aliyah, Nada Rahma Alva Hendi Muhammad Amanda Rifan Fathoni Amir Fatah Sofyan Amiruddin Khairul Huda Ammara, Laya Amrullah, Ahmad Afief An Braeken Anam, M. Choirul Anang Anang Andi Bahtiar Semma Andi Kriswantono Andi Sunyoto Andik Isdianto Anggit Dwi Hartanto Anggit Hartanto Annisa Gatri Zakinah annisa gatri zakinah Anthon Andrimida, Anthon Anton, Tri Arbiansyah, Moh Junit Arief Maehendrayuga Ariefandi, Muhammad Fikri Asadi, M. Arif Askar, Muhammad Ichfan Asmirijal, Amrey Syahnur Asro Nasiri Asro Nasiri Asro Nasiri Astika Wulansari Astuti , Septiana Sri Atmaja, Albertus Aldo Danar Atminenggar, Alinda Najma Aulia Lanudia Fathah Basit, Muhammad Abdul Béjar, Rodrigo Martínez Berlania Mahardika Putri Bruno da Silva Constantin Menteng Daduk Setyohadi Darmawan Ockto Sutjipto Dedi Tri Hermanto Desy Bawan, Sarah Bunda Dewa Gede Raka Wiadnya Dewa Gede Raka Wiadnya Dewa Gede Raka Wiadnya, Dewa Gede DHANI ARIATMANTO Dhea, Luthfia Ayu Dhiana Puspitawati Diah, M. Dian Rusvinasari Dinar Mustofa Dwi Satrio Anurogo Eko Pramono Eko Pramono Eko Pramono Ema Utami Emha Taufiq Luthfi F Purwanto Fadjeri, Akhmad Fathah, Aulia Lanudia Fazlul Rahman Ferry Wahyu Wibowo Ferry Wahyu Wibowo Ferry Wahyu Wibowo Fiqih Akbari Gatut Bintoro Gibran, Ibrahim El Gibran, Khalil Ginting, Meliani Ananda Br. Gunawan Wicahyono Hadin La Ariandi Hadiyah, Lisa Nur Hafidz Sanjaya, Hafidz Hamdallah, Dika Puja Hamdikatama, Bimantyoso Hamka Suyuti Hamzah Hamzah Hanif Al Fatta Hanif Al Fattah Hanifa Ramadhani Hari Susanto Harlyan, Ledhyane Eka Henderi . Hendi Muhammad, Alva Heri Sismoro Herlambang Priantoro Hidayat, Aji Said Wahyudi Hidayat, Kardilah Rohmat Hizbul Izzi I Gusti Ngurah Wikranta Arsa Arsa I Made Adi Purwantara I Made Artha Agastya Ilham Mubarog Imam Syafii Imam Syafii Imam Thoib Indra Listiawan Irianies Cahya Gozali Irwan Jatmiko Ishaq, Syafrial Yanuar Jimmy H Moedjahedy José Ramón Martínez Salio Kamila, Firda Nikmatul Karaman, Jamilah Kartikasari, Wahida Khairan marzuki Khasanah, Nabiila Rizqi Kholida Zia Abidin Komang Aryasa Kris Agung Kudrati, Amelinda Vivian Kumara Ari Yuana Kumoro, Danang Tejo Kusnawi Kusnawi Kusrini López, Alba Puelles M. Diah M. RUDYANTO ARIEF M. Rudyanto Arief Mardi Utomo Mardya Hayati Marsela, Kristina Marselina Endah Hiswati Martiani, Evi Martínez-Béjar, Rodrigo MEI PARWANTO KURNIAWAN Miftahul Madani Mohamad Syafri Lamato Morita Puspita Sari Muchamad Zainul Muhamad Maksum Hidayat Muhammad Arif Asadi, Muhammad Arif Muhammad Arif Rahman Muhammad Azmi Muhammad Ghozaly Salim Muhammad Javier Irsyad Muhammad Reza Muhammad Reza Riansyah Muhammad Yusuf Munandar, Arief Muqorobin Muqorobin Nabhaan, Ahmad Naufal Labiib Nabilla, Azma Salma Nadea Cipta Laksmita Nasiri, Asro Naufal Hilda Bahtiar nfn Sarip Nggego, Dedy Abdianto Ni Nyoman Utami Januhari, Ni Nyoman Nico Rahman Caesar Nila Feby Puspitasari, Nila Feby Nina Kurnia Hikmawati Nisrina, Aliyya Nizery, Sefhanissa Puspa Retno Nuddin Harahab Nugroho, Agung Nur Khamidah oktiyas muzaky Luthfi, oktiyas muzaky Pahlawan, Muammar Reza Pangestu, Wanda Suryani Pattisahusiwa, Annisa Shafira P. Prayoghi, M. Lukman Publikasi), (Menunda Putra, Muhammad Naufal Eka Putri, Berlania Mahardika Rachmanto, Rakandhiya Daanii Rafif Zul Fahmi Rahmad Arif Setiawan Rahman, Aulia Tegar Rahmat Taufik R.L Bau Rakandhiya Daanii Rachmanto Ramdhani, Mohamad Dhicy Rarasrum Dyah Kasitowati Ratno Kustiawan Ria Andriani Ripto Sudiyarno Rismayani Rismayani Roni Sasongko Rudyanto Arief Sadikin, Moh. Fal Samuel, Pratama Diffi San Sudirman Saputra, Tedy Eko Sarip, nfn Seniwati, Erni Septiansyah, Moch. Rafli Shahruri, Rifandi Annas Simone Martin Marotta Siswo Utomo, Mardi Siti Alvi Sholikhatin Siti Halimah Soejono, Ajie Wibowo Sofyan Pariyasto Sriyati Sriyati Stephan Adriansyah Hulukati Suardi, Heri Sucianingsih, Ni Komang Diah Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan, Sudarmawan Sudirman, San Suhardi Aras Sukoco Sunardi Sunardi Supriyadi Supriyadi Supriyadi Supriyadi Suputa Suputa Suwanto Raharjo Suyadi Suyadi Suyuti, Hamka Syarief, Salsabila Nazmie Putri TONNY HIDAYAT Totok Wahyu Caturiyanto Tri Djoko Lelono Tumulyadi, Agus Tyas, Herlin Widi Aning Utama, Andria Ansri Veithzal Rivai Zainal Wahyu Nugroho Widhiarta, Widhiarta Wijaya, Sony Yasmin, Delviega Aisyah Yeni Kartika Sari, Yeni Kartika Yorarizka, Putri Devi Yuliana Yuliana Yumna, Orryza Nayla Zul Hisyam