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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) INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi 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 JTIM : 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 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

Arief Setyanto

Universitas Amikom Yogyakarta

Author-ID : 2484041

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering 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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LITERATURE REVIEW: PENGENALAN WAJAH MENGGUNAKAN ALGORITMA CONVOLUTIONAL NEURAL NETWORK Sriyati Sriyati; Arief Setyanto; Emha Emha Luthfi
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 8, No 2 (2020): Jurnal TIKomSiN, Vol.8, No. 2, 2020
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v8i2.463

Facial recognition to detect the identity of the gallon user's face in honesty in the school environment has many methods such as local, global, and hybrid approaches. The main problem of using the gallon of honesty is that the program uses the Self-service system, which is a self-service system, where the buyer serves itself unattended. The water charging activity is still found by users who are dishonest, such as taking water but not putting money into the place that has been provided, the thing that should be when the user fills the water then the user must also enter Money into the box provided. Because of the absence of supervision in this program of honesty then it is difficult to know who is dishonest in order to be able to do prevention for the dishonesty that has occurred when using the gallon of honesty program. Facial recognition using the Convolutional Neural Network (CNN) method to classify images. A literature review is used to analyse and focus on techniques in conducting facial recognition on the use of gallons of honesty. Keywords: facial recognition, convolutional neural network methods, a gallon of honesty

Pengolahan Citra Digital Untuk Menghitung Ekstrasi Ciri Greenbean Kopi Robusta Dan Arabika (Studi Kasus: Kopi Temanggung) Akhmad Fadjeri; Arief Setyanto; Mei P. Kurniawan
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 8, No 1 (2020): Jurnal TiKomSiN, Vol.8, No. 1, 2020
Publisher : STMIK Sinar Nusantara

This study aims to determine the extraction of features contained in robusta and arabica coffee greenbeans to make objects detectable and can be drawn into mathematical numbers. The method used is the original image which is converted to RGB and then grayscaling is carried out followed by a binary process that aims to change the image into binary form (0 and 1) after the digital image processing is complete the process of extracting the characteristics of greenbean coffee based on width, height, perimeter, surface area, roundness percentage, and perimeter of each coffee greenbean so that it can be understood mathematically. The results of the binary image process carried out morphological operations, the morphological process there is an erosion and dilation process. The results of the erosion and dilation process are carried out feature extraction to get the length, height, circumference, roundness ratio and perimeter of an image image. Then the value is stored in the database as a feature extraction of each greenbean coffee.The result of feature extraction obtained from coffee greenbean samples with a mean width of 7.7 pixels, height 11, circumference 31.3, surface area 69.5, roundness percentage 89,559, and perimeter 1,674 of greenbean robusta coffee while for arabica greenbean can be width 13.2 pixels, height 18.8, circumference 51.2, surface area 199.9, percentage of roundness 94.548, and perimeter 1.6000038 with total data taken were 20 greenbean coffees.

Optimasi Struktur Proses dan Penerapan Metodologi Six Sigma di Unit NPK Phonska – PT Petrokimia Gresik Arief Setyanto; F Purwanto; Dwi Satrio Anurogo
Jurnal Rekayasa Proses Vol 3, No 1 (2009)
Publisher : Departemen Teknik Kimia Fakultas Teknik Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jrekpros.562

PT Petrokimia Gresik mempunyai tujuh Unit Pabrik Pupuk NPK dengan total kapasitas produksi saat ini adalah dua juta ton per tahun. Kapasitas terpasang tersebut jauh lebih tinggi dibanding kapasitas desain awalnya. Upaya peningkatan kapasitas produksi dilakukan secara simultan dengan optimasi proses, modifikasi peralatan serta perbaikan metode kerja. Salah satu unit pabrik yang digunakan sebagai studi kasus adalah Unit Pabrik NPK Phonska II yang telah berhasil meningkatkan kapasitas produksi dari 1.320 ton per hari menjadi 2.400 ton per hari, atau 182% dari kapasitas desain awalnya. Optimasi proses menghasilkan penyederhanaan jalur reaksi sehingga didapatkan pengurangan struktur proses. Modifikasi peralatan dilakukan menyesuaikan dengan proses terbaru, sedangkan perbaikan metode kerja dilakukan dengan penerapan metodologi six sigma. Keseluruhan tahapan dilakukan oleh engineer dan teknisi PT Petrokimia Gresik, sehingga pencapaian yang didapatkan merupakan kebanggaan bersama. Peningkatan kapasitas produksi pupuk yang signifikan itu juga memberi sumbangan berarti bagi upaya negara dalam mencapai dan mempertahankan swasembada pangan. Kata kunci: phonska, struktur proses, jalur reaksi, optimasi, modifikasi, six sigma PT Petrokimia Gresik has seven NPK fertilizer plants with total production capacity of two million tons per year. The existing capacity is much higher in comparison with its design capacity. An effort to increase the production capacity was done simultaneously by process optimization, equipment modifications and operational method improvement. The present work was a case study from NPK Phonska Plant II; one of the plants that has already successfully increased its capacity from 1,320 tons / day to 2,400 tons / day or 182% of its original design capacity. The process optimization resulted in reduction of reaction path and process structure. Equipment modifications were done according to the new process, meanwhile improvement ofthe operational method was done through six sigma's methodology implementation. All improvement steps were done by local engineers and technicians of PT Petrokimia Gresik andthe achievement therefore becamea pride of all constituents involved in the project. The significant improvement in fertilizer production capacity also gave large contribution to the national effort in achieving and keeping self-sufficient foodstoke. Keywords: Phonska, process structure, reaction path, optimization, modification, six-sigma

ANALISIS DAN PERANCANGAN BLUEPRINT INFRASTRUKTUR JARINGAN KOMPUTER UNTUK MENDUKUNG IMPLEMENTASI SISTEM INFORMASI PADA STMIK LOMBOK Ahmad Tantoni; Arief Setyanto; Eko Pramono
Informasi Interaktif Vol 3, No 1 (2018): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (529.836 KB)

The research objectives of obtaining blueprint network infrastructure that supports information systems and construction of new campus buildings and compare network performance before and after the design of computer network infrastructure.Problems that occur in STMIK Lombok is wanting the design of new network infrastructure because in access the Internet or access the information system, the civitas campus feel slow access in using the network connection because the computer network infrastructure is not maximized, wants better/improved network performance so as not to interfere with the organization's business processes and implementing the previously researched information system can work as expected. Moreover, the statistical data on the number of students shows an increasing number of students from each academic year making the need for renewal of existing computer network infrastructure.The problem is not only that, related to the construction of new campus building, the computer network has to be redesigned to increase the scalability of campus civitas which increasingly increasing year and the management of STMIK Lombok wanting alignment between campus building construction by designing blueprint of computer network infrastructure. So needed an analysis and design of blueprint computer network infrastructure technology that is structured so that when implemented information system and building of STMIK Lombok building can run well. This research is intended to give solution in the form of blueprint design of computer network infrastructure that support pengimplentasian information system and construction of new campus building at STMIK Lombok.Keywords: Blueprint, Computer Network Infrastructure, Performance, Virtual LAN

SEGMENTASI PASAR KOPI MENGGUNAKAN METODE KNN DI INDONESIA Muhamad Maksum Hidayat; Wahyu Nugroho; Arief Setyanto
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 1 No. 1 (2020): Mei 2020
Publisher : Badan Penelitian dan Pengabdian Masyarakat (BP2M) STMIK Syaikh Zainuddin NW Anjani

Coffee is one of the most widely consumed plantation commodities in Indonesia and has great opportunities to be developed, especially in the field of market development. The thing that becomes an obstacle for coffee entrepreneurs is the right segmentation of the coffee market with the vast Indonesian state. This study aims to segment the coffee market in Indonesia by utilizing coffee image data available on Instagram social media with image classification using the K-Nearest Neighbor algorithm and histogram feature extraction, so as to determine the exact coffee market segmentation in Indonesia.

PEMANFAATAN DATA INSTAGRAM UNTUK MENGETAHUI REPUTASI TEMPAT WISATA DI LOMBOK Muhammad Azmi; Amiruddin Khairul Huda; Arief Setyanto
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 1 No. 1 (2020): Mei 2020
Publisher : Badan Penelitian dan Pengabdian Masyarakat (BP2M) STMIK Syaikh Zainuddin NW Anjani

Social media currently has an extraordinary influence in decision making, including in the tourism industry to find out the reputation and popularity of a tourist destination. At present the use and use of social media is not only limited to entertainment media but also as a medium or a place to share information both information that is considered important or not important and neglected. In this study, we utilize data scattered through Instagram posts related to tourist destinations to be used as references to find out the reputation of tourist destinations on the island of Lombok. The data used comes from Instagram with a total of 600 datasets, using three keywords namely beach, dyke and hill. The method used is the Naive Bayes Classifier which will be used to classify postings and Instagram comments by classifying into positive, negative and neutral posts to tourist destinations. The results of this study can show that the accuracy of naive bayes is 59%, while tourist attractions or tourist destinations which are categorized as popular for the beach are Kuta Beach with 85% percentage and for the Gili category that is 47% Gili Air namely, mountain Mount Rinjani with a percentage of 60%.

Systematic Literature Review Of Particle Swarm Optimization Implementation For Time-Dependent Vehicle Routing Problem M. Diah; Arief Setyanto; Emha Taufiq Luthfi
JOIN (Jurnal Online Informatika) Vol 7 No 1 (2022)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v7i1.804

Time-dependent VRP (TDVRP) is one of the three VRP variants that have not been widely explored in research in the field of operational research, while Particle Swarm Optimization (PSO) is an optimization algorithm in the field of operational research that uses many variables in its application. There is much research conducted about TDVRP, but few of them discuss PSO's implementation. This article presented as a literature review which aimed to find a research gap about implementation of PSO to resolve TDVRP cases. The research was conducted in five stages. The first stage, a review protocol defined in the form of research questions and methods to perform the review. The second stage is references searching. The third stage is screening the search result. The fourth stage is extracting data from references based on research questions. The fifth stage is reporting the study literature results. The results obtained from the screening process were 37 eligible reference articles, from 172 search results articles. The results of extraction and analysis of 37 reference articles show that research on TDVRP discusses the duration of travel time between 2 locations. The route optimization parameter is determined from the cost of the trip, including the total distance traveled, the total travel time, the number of routes, and the number used vehicles. The datasets that are used in research consist of 2 types, real-world datasets and simulation datasets. Solomon Benchmark is a simulation dataset that is widely used in the case of TDVRP. Research on PSO in the TDVRP case is dominated by the discussion of modifications to determine random values of PSO variables.

Analisis Perbandingan Algoritma Decision Tree (C4.5) Dan K-Naive Bayes Untuk Mengklasifikasi Penerimaan Mahasiswa Baru Tingkat Universitas Suyadi Suyadi; Arief Setyanto; Hanif Al Fattah
IJAI (Indonesian Journal of Applied Informatics) Vol 2, No 1 (2017)
Publisher : Universitas Sebelas Maret

Profile of PMB (New Student Admissions) students from several periods have abundant data that can be used for research. The data is in the form of student information from the majors of origin, NEM and majors now. Classifying the PMB profile data of students at the University level in Yogyakarta can know the majority of learners. Comparing some algorithms is needed to find out the best algorithm. Classification is a grouping algorithm that has several algorithms such as Decision Tree (C4.5) and K-Naive Bayes. Decision Tree (C4.5) is an algorithm with decision tree, while K-Naive Bayes is the likely algorithm that will occur. This analysis uses Rapidminer which is a data analysis software with features of several algorithms that are easy to operate. Both algorithms have results with large data of 1504 students, Decision tree (C4.5) has an accuracy of 81.84% and an error accuracy of 18.16%, while K-Naive Bayes 85.12% and accuracy of error 14.88%. Whereas with smaller data the Decision tree (C4.5) has 100% accuracy whereas K-Naive Bayes has the same accuracy as Decision Tree (C4.5) that is 100%.

Analisis Kualitas Website Universitas Kahuripan Kediri Menggunakan Metode Webqual 4.0 Morita Puspita Sari; Arief Setyanto; Asro Nasiri
INFOSYS (INFORMATION SYSTEM) JOURNAL Vol 7, No 1 (2022): InfoSys Agustus 2022
Publisher : Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/infosys.7.1.2022.34-46

Di era digital saat ini, penggunaan website sebagai upaya pemanfaatan teknologi informasi sudah marak di dunia pendidikan. Perguruan tinggi membutuhkan website sebagai cara yang efisien dan hemat biaya untuk mengakses informasi resmi, alat komunikasi, dan layanan bagi mahasiswa atau calon mahasiswa yang membutuhkan informasi lebih lanjut tentang pendidikan tinggi. Webqual adalah metode yang dikembagnkan oleh Stuart Barnes dalam pengukuran kualitas situs/portal web. Penelitian ini menggunakan metodologi WebQual 4.0. Hal ini didasarkan pada kualitas antarmuka pengguna, yang merupakan domain tambahan, selain tiga domain utama kualitas informasi, kualitas dialog, dan kemudahan penggunaan. Penelitian ini dilakukan untuk mencari tahu gambaran valid terhadap gap antara tingkat kepentingan (ekspektasi) dan pencapaian (penilaian) pada masing-masing variabel kualitas website, berdasarkan pendekatan Web Qual Website Universitas Kahuripan terhadap kualitas layanan. Hasil survei ini adalah kualitas pengalaman pengguna, dan kualitas interaksi layanan tidak mempengaruhi kepuasan pada pengguna akhir. Berdasarkan kesimpulan yang diperoleh dari uji F untuk variabel bebas yaitu (X.1, X.2, X.3, X.4) secara simultan mempengaruhi variabel terikat yaitu (Y): 59.5%, sedangkan sisanya 40.5% dipengaruhi oleh faktor - faktor lain diluar penelitian ini. Berdasarkan perhitungan tingkat kinerja dan harapan variabel X.2 (kualitas informasi) dan variabel X.3 (kualitas interaksi layanan), kesenjangan lebih besar dari 0.29, menunjukkan ketidakpuasan pengguna jika harapan pengguna tidak memenuhi atribut yang ada. Oleh karena itu, berdasarkan hasil survei ini, perlu dilakukan langkah-langkah untuk meningkatkan kepuasan pengguna pada website Universitas Kahuripan Kediri.

Deep Learning Untuk Klasifikasi Motif Batik Papua Menggunakan EfficientNet dan Trasnfer Learning Suhardi Aras; Arief Setyanto; Rismayani
Insect (Informatics and Security): Jurnal Teknik Informatika Vol. 8 No. 1 (2022): Oktober 2022
Publisher : Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33506/insect.v8i1.1865

\Merupakan warisan budaya Indonesia, batik Papua hadir dengan ragam motif, selain dikenal dengan motif daerah asal pembuatannya, motif corak budaya serta corak flora dan faunapun mewarnai keragaman motif batik dari Papua. Kemampuan untuk mengenal motif – motif tersebut, menjadi tantangan untuk menemukan model dalam mengklasifikasi motif batik dari Papua untuk melestarikannya. Penelitian ini menggunakan deep learning dalam mengklasifikasi motif batik dari Papua dengan melakukan transfer learning menggunakan arsitektur efficienNet dengan transfer learning dan teknik agumentasi data Hasil pengujian menggunakan empat kelas dataset memperoleh dengan arsitektur EfficientNet-B2 dengan fine tuning memberikan akurasi 72% dan ditambahkan teknik augmentasi tertinggi dengan menggunakan teknik ColorJitter dan Contrast dengan hasil 90%.

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 Alva Hendi Muhammad Amanda Rifan Fathoni Amir Fatah Sofyan Amiruddin Khairul Huda Amrullah, Ahmad Afief Anam, M. Choirul Anang Anang Andi Kriswantono Andik Isdianto Anggit Dwi Hartanto Anggit Hartanto annisa gatri zakinah Anthon Andrimida, Anthon 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 Aulia Lanudia Fathah Basit, Muhammad Abdul 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 Dhani Ariatmanto Dhea, Luthfia Ayu Dhiana Puspitawati 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 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 Gunawan Wicahyono Hadin La Ariandi Hadiyah, Lisa Nur Hafidz Sanjaya, Hafidz Hamdikatama, Bimantyoso Hamka Suyuti HANIF AL FATTA Hanif Al Fatta Hanif Al Fatta Hanif Al Fattah Hanifa Ramadhani Hari Susanto Harlyan, Ledhyane Eka Henderi . 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 López, Alba Puelles M. Diah M. Rudyanto Arief M. RUDYANTO ARIEF M. Rudyanto Arief Madani, Miftahul Maehendrayuga, Arief Mardya Hayati Marsela, Kristina Martiani, Evi Martínez-Béjar, Rodrigo Mei P Kurniawan Mei P. Kurniawan Mei P. Kurniawan Miftahul Madani Mohamad Syafri Lamato Morita Puspita Sari Muammar Reza Pahlawan 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 Nizery, Sefhanissa Puspa Retno Nuddin Harahab Nur Khamidah oktiyas muzaky Luthfi, oktiyas muzaky 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 Shahruri, Rifandi Annas Simone Martin Marotta Siti Alvi Sholikhatin Siti Halimah Soejono, Ajie Wibowo Sriyati Sriyati Stephan Adriansyah Hulukati Suardi, Heri Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan, Sudarmawan 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 Anton Tri Djoko Lelono Tumulyadi, Agus Tyas, Herlin Widi Aning Utama, Andria Ansri Veithzal Rivai Zainal Wahyu Nugroho Widhiarta, Widhiarta Yasmin, Delviega Aisyah Yorarizka, Putri Devi Yuliana Yuliana Zul Hisyam

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