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All Journal International Journal of Electrical and Computer Engineering Jurnal Rekayasa Proses Pixel : Jurnal Ilmiah Komputer Grafis 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) JIKO (Jurnal Informatika dan Komputer) 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) Indonesian Journal of Applied Informatics 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) 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 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 JURNAL MULTIDISIPLIN BHATARA Jurnal Pengabdian Indonesia
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Kondisi Tutupan Turf Algae dan Kualitas Perairan di Selat Sempu, Malang: Condition of Turf Algae Coverage and Water Quality in the Sempu Strait, Malang Isdianto, Andik; Syarief, Salsabila Nazmie Putri; Gibran, Khalil; Putra, Muhammad Naufal Eka; Pattisahusiwa, Annisa Shafira P.; Ishaq, Syafrial Yanuar; Saputra, Tedy Eko; Nizery, Sefhanissa Puspa Retno; Asadi, Muhammad Arif; Setyanto, Arief; Putri, Berlania Mahardika; Fathah, Aulia Lanudia; Wardana, Novar Kurnia; Supriyadi, Supriyadi; Luthfi, Oktiyas Muzaky
JFMR (Journal of Fisheries and Marine Research) Vol. 8 No. 1 (2024): JFMR on March
Publisher : Faculty of Fisheries and Marine Science, Brawijaya University, Malang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jfmr.2024.008.01.11

Abstract

Turf algae merupakan salah satu organisme yang menjadi indikator kesehatan ekosistem terumbu karang. Organisme ini bahkan dapat mendominansi suatu daerah dan menekan angka tutupan terumbu karang dalam kondisi perairan tertentu. Hal ini tentunya menjadi ancaman bagi kelestarian suatu ekosistem yang berdampak pada perekonomian masyarakat sekitar melalui jumlah hasil tangkapan ikan. Maka dari itu penelitian ini dilaksanakan guna melakukan monitoring pada luas tutupan turf algae di Perairan Selat Sempu pada bulan Agustus tahun 2023. Metode yang digunakan yaitu sepuluh Underwater Photo Transect (UPT) pada kelima stasiun dengan panjang transek sejauh 100 meter yang dibantu oleh transek kuadran berukuran 1 x 1 m. Penelitian ini menggunakan beberapa data parameter perairan yang memengaruhi luas tutupan turf algae seperti suhu, salinitas, kecerahan, DO, arus, sedimentasi, pH, nitrat, dan fosfat. Hasil yang diperoleh yaitu tutupan tertinggi terjadi pada stasiun Banyu Tawar sebesar 1.3042,05 cm2 dan tutupan terendah pada stasiun Waru-Waru sebesar 488,7 cm2. Data parameter perairan yang telah diukur memiliki nilai yang optimal dengan pH yang memiliki rentang 7,5–8,1 dissolved oxygen (DO) pada rentang 6,8–7 mg/L, salinitas 34,2-34,4‰,  nitrat 0,9-2,1 mg/L, dan fosfat 0,03-0,17 mg/L, di mana nilai parameter ini mendukung pertumbuhan turf algae.Turf algae is an organism that is an indicator of the health of coral reef ecosystems. This organism can even dominate an area and suppress coral reef cover in certain water conditions. This is of course a threat to the sustainability of an ecosystem which has an impact on the economy of the surrounding community through the amount of fish caught. Therefore, this research was carried out to monitor the extent of turf algae cover in the Sempu Strait waters in August 2023. The method used was ten Underwater Photo Transects (UPT) at five stations with a transect length of 100 meters assisted by quadrant transects measuring 1 x 1 m. This research uses several water parameter data that influence the extent of turf algae cover, such as temperature, salinity, brightness, DO, currents, sedimentation, pH, nitrate and phosphate. The results obtained were that the highest cover occurred at Banyu Tawar station at 1,3042.05 cm2 and the lowest cover at Waru-Waru station at 488.7 cm2. The water parameter data that has been measured has optimal values with pH having a range of 7.5–8.1 dissolved oxygen (DO) in the range 6.8–7 mg/L, salinity 34.2-34.4‰, nitrate 0.9-2.1 mg/L, and phosphate 0.03-0.17 mg/L, where these parameter values support the growth of turf algae.
Alat Tangkap yang Ditinggalkan, Hilang, dan Dibuang: Studi Kasus Alat Tangkap Jaring Rajungan dan Bubu Rajungan pada Perikanan Rajungandi Demak Jawa Tengah: Abandoned, Lost, and Discarded Fishing Gear: A Case Study of Swimming Crab Fisheries Tumulyadi, Agus; Setyanto, Arief; Bintoro, Gatut; Lelono, Tri Djoko; Isdianto, Andik; Setyohadi, Daduk; Amanda Rifan Fathoni; Rafif Zul Fahmi
JFMR (Journal of Fisheries and Marine Research) Vol. 8 No. 2 (2024): JFMR on July
Publisher : Faculty of Fisheries and Marine Science, Brawijaya University, Malang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jfmr.2024.008.02.6

Abstract

Rajungan merupakan salah satu komoditas unggulan sektor perikanan tangkap di perairan yang ditangkap menggunakan jaring insang dan bubu / bubu lipat. Potensi hilangnya kedua alat tangkap tersebut saat dioperasikan sangat tinggi, baik disebabkan oleh faktor cuaca, kondisi dasar perairan maupun interaksi dengan alat tangkap lain. Tertinggalnya alat tangkap di perairan yang lebih dikenal dengan istilah Abandoned, Lost or Discarded Fishing Gear (ALDFG) memberikan kontribusi signifikan terhadap melimpahnya marine debris (sampah laut) di laut yang memberikan dampak negatif terhadap kelestarian sumberdaya ikan, kualitas perairan dan membahayakan keselamatan pelayaran. Meskipun demikian, belum ada upaya mitigasi dan pengurangan ALDFG di perairan laut. Penelitian ini bertujuan untuk melakukan identifikasi penyebab tertinggalnya alat tangkap pada perikanan rajungan di perairan laut.  Pengumpulan data dilakukan di kabupaten Demak, Jawa Tengah pada bulan Agustus dan September 2023 dengan metode wawancara terhadap responden yang dipilih secara sengaja di sekitar pendaratan nelayan rajungan, yang hasilnya kemudian dianalisis secara deskriptif. Studi ini menemukan bahwa sumber sampah laut yang berasal dari alat tangkap rajungan khususnya adalah disebabkan oleh alat tangkap yang hilang bukan karena sengaja dibuang ke laut. Alat tangkap yang hilang terjadi karena faktor alam (23%) dan atau diterjang oleh pengoperasian alat tangkap jenis lainnya (27%).   Blue swimming crab is one of the leading commodities in the capture fisheries sector in waters which are caught using gill nets and traps/bubu lipat. The potential for loss of these two fishing gears during operation is very high, both due to weather factors, bottom conditions of the waters and interactions with other fishing gears. Leftover fishing gear in the waters known as Abandoned, Lost or Discarded Fishing Gear (ALDFG) contributes significantly to the abundance of marine debris in the sea which has a negative impact on the preservation of fish resources, water quality and endangers shipping safety. Even so, there have been little efforts to mitigate and reduce ALDFG in marine waters. This study conducted at Demak of Central Java from August to September 2023 which aims to identify the causes of fishing gear debris in crab fisheries in marine waters. Data collection was carried out by in-depth interviews with respondents who were deliberately selected around the crab fishermen's landings, the results of which were then analyzed descriptively. This study found that the source of marine debris originating from swimming crab fishing gear was caused by lost fishing gear, not because it was intentionally thrown into the sea. Lost fishing gear occurs due to natural factors and is affected by the operation of other types of fishing gear by 23% and 27% respectively.
Analisis Kepuasan Pengguna Pada Website Pemda Kabupaten Dompu Rahman, Fazlul; Setyanto, Arief; Henderi, Henderi
Building of Informatics, Technology and Science (BITS) Vol 3 No 4 (2022): March 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1039.916 KB) | DOI: 10.47065/bits.v3i4.1306

Abstract

Dompu local government provides a website that provides information. Each interaction with the user gives rise to a variety of perceptions. One of them is the negative perception of the dompu community as a user of the website as well as the dompu local government as its supply organization. To reduce the problem of negative perceptions related to user experience in the process of using it, an evaluation of user experience is also done as well as an improved interface design. This research was conducted to determine the problems experienced by users by gathering various perceptions of the local government website. The test was carried out using a tool in the form of a User Experience Questionnaire (UEQ). The reason for using the UEQ method is because it is a quick and easy questionnaire to measure the user experience of a website. The results of evaluating user experience using UEQ, The results of evaluating user experience using UEQ show that aspects of perspicuity, efficiency, stimulation, novelty attractiveness and dependability: bad
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.
Co-Authors (Menunda Publikasi) Abdillah, M A Agastya, I Made Artha Agung, Kris Agus Sukarno Agus Tumulyadi Agustina Rahmawati Ahmad Afief Amrullah Ahmad Afief Amrullah Ahmad Naufal Labiib Nabhaan Ahmad Tantoni Ainul Yaqin Akhmad Fadjeri Al Maky, Nuril Huda Aliyah, Nada Rahma Amanda Rifan Fathoni Amir Fatah Sofyan Amiruddin Khairul Huda Ammara, Laya Amrullah, Ahmad Afief Anam, M. Choirul Anang Anang Andi Kriswantono Andik Isdianto Anggit Dwi Hartanto Anggit Hartanto Annisa Gatri Zakinah annisa gatri zakinah Anthon Andrimida, Anthon Anton, Tri Arbiansyah, Moh Junit 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 Bawan, Sarah Bunda Desi Béjar, Rodrigo Martínez Berlania Mahardika Putri Constantin Menteng Daduk Setyohadi Darmawan Ockto Sutjipto Dedi Tri Hermanto 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 Emha Luthfi Emha Taufiq Luthfi Emha Taufiq Luthfi Emha Taufiq Luthfi Emha Taufiq Luthfi F Purwanto 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 Hadiyah, Lisa Nur Hafidz Sanjaya, Hafidz Hamdallah, Dika Puja Hamdikatama, Bimantyoso Hamka Suyuti Hamzah Hamzah HANIF AL FATTA Hanif Al Fatta Hanif Al Fatta Hanif Al Fattah Hanifa Ramadhani Hari Susanto Harlyan, Ledhyane Eka Henderi . Hendi Muhammad, Alva Heri Sismoro Hidayat, Aji Said Wahyudi Hidayat, Kardilah Rohmat Hizbul Izzi I Made Artha Agastya Ilham Mubarog Imam Syafii Imam Syafii Imam Thoib Irianies Cahya Gozali Irwan Jatmiko Ishaq, Syafrial Yanuar Jamilah Karaman Jimmy H Moedjahedy José Ramón Martínez Salio Kamila, Firda Nikmatul Kartikasari, Wahida Khairan marzuki Khasanah, Nabiila Rizqi Kholida Zia Abidin Komang Aryasa Kris Agung Kudrati, Amelinda Vivian Kumara Ari Yuana Kumoro, Danang Tejo Kurniawan, Mei P Kusnawi Kusnawi KUSRINI Kusrini Kusrini Kusrini, Kusrini La Ariandi, Hadin López, Alba Puelles M. Diah M. RUDYANTO ARIEF M. Rudyanto Arief Maehendrayuga, Arief Mardya Hayati Marsela, Kristina Martiani, Evi Martínez-Béjar, Rodrigo Mei P Kurniawan Mei P. Kurniawan 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. Prastyo, Agung Budi 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 Sarah Bunda Desi Bawan Sarip, nfn Seniwati, Erni Septiansyah, Moch. Rafli Shahruri, Rifandi Annas Simone Martin Marotta Siswo Utomo, Mardi Siti Alvi Sholikhatin Siti Halimah Soejono, Ajie Wibowo Sriyati Sriyati Stephan Adriansyah Hulukati Suardi, Heri Sucianingsih, Ni Komang Diah Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan, Sudarmawan Sudirman, San Suhardi Aras Sukoco Sunardi Sunardi Supriyadi Supriyadi Supriyadi Supriyadi 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