Article Per Year (5 Year)
p-Index From 2021 - 2026
15.317
P-Index
This Author published in this journals
All Journal Jurnal Media Infotama Telematika : Jurnal Informatika dan Teknologi Informasi Rekursif: Jurnal Informatika Jurnal Pseudocode Jurnal Informatika Upgris Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer JURNAL PENDIDIKAN TAMBUSAI Jurnal Ilmiah Pendidikan dan Pembelajaran Jurnal Sistem Cerdas JSAI (Journal Scientific and Applied Informatics) Journal of Technopreneurship and Information System (JTIS) Jurnal Pengabdian Masyarakat Bumi Raflesia Jurnal Mnemonic JATI (Jurnal Mahasiswa Teknik Informatika) Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Teknik Informatika (JUTIF) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Journal of Applied Computer Science and Technology (JACOST) Jurnal Abdimas Serawai Decode: Jurnal Pendidikan Teknologi Informasi EXPLORER Jurnal Multidisiplin Dehasen (MUDE) International Journal of Education and Social Science (IJESS) Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Sistem Informasi Dan E-Bisnis Jurnal Ilmu Komputer Dan Informatika Jurnal Media Computer Science JIMAKUKERTA JURNAL BESEMAH Mestaka: Jurnal Pengabdian Kepada Masyarakat Jurnal Pendidikan dan Pengabdian Masyarakat JPNM : Jurnal Pustaka Nusantara Multidisiplin Cendikia Pendidikan Jurnal Informatika: Jurnal Pengembangan IT GEMBIRA (Pengabdian Kepada Masyarakat) RESLAJ: Religion Education Social Laa Roiba Journal JPMTT (Jurnal Pengabdian Masyarakat Teknologi Terbarukan) Jurnal Pengabdian Masyarakat Ilmu Komputer International Journal of Information Technology and Business Jurnal TAM (Technology Acceptance Model) JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) JCOSIS (Journal Computer Science and Information Systems) Jurnal Komputer, Informasi dan Teknologi
Wijaya, Ardi
Program Studi Teknik Informatika, Fakultas Teknik Universitas Muhammadiyah Bengkulu, Bengkulu, Indonesia
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 Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 124 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 124 Documents
Search

 9   10   11   12   13 
Aplikasi Kamus Pembelajaran Bahasa Jepang Pada Sistem Operasi Android Menggunakan Algoritma String Matching Knuth-Morris-Pratt Yulia Darnita; Muhammad Husni Hidayat; Rozali Toyib; Ardi Wijaya
Jurnal Media Infotama Vol 20 No 1 (2024): April 2024
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i1.5631

Abstract

As a globally advanced country, Japan attracts the interest of job seekers, especially from developing countries such as Indonesia. The primary motivation behind this interest is the opportunity to obtain better employment, higher income, and experience living in a culturally and linguistically different environment from their place of origin. One of the mandatory requirements for working in Japan is to have fluent Japanese language skills. However, challenges arise for prospective interns or job seekers who need to remain active in their current employment while awaiting their exam schedules or departure to Japan. To address this issue, a solution is needed that allows flexible Japanese language learning accessible anytime and anywhere, one of which is by creating an application that can be downloaded and installed on their smartphones. This application provides filtered Japanese vocabulary, eliminating the need for users to memorize all words like in conventional dictionaries, considering that some words may not be commonly used in daily situations. To enhance user convenience, the application is equipped with a word search function, facilitating the process of finding desired words. The search process in this application utilizes the Knuth-Morris-Pratt String Matching method, an efficient string matching algorithm for finding a specific pattern in a text. The application allows users to match inputted words with the available vocabulary database. This application is divided into two parts, namely the data input section and the output section used by users on their smartphone devices. The application provides various features to assist users in learning Japanese, such as vocabulary pages, conversations, and word searches. The use of the Knuth-Morris-Pratt (KMP) algorithm enables efficient and effective word searches in the vocabulary database. It is hoped that this application can help users in learning Japanese easily and effectively, both for academic and professional purposes.
Klasifikasi Kualitas Buah SawitMenggunakan Metode Gray Level Co-occurrence Matrix Dengan Variasi Arah Obyek Ridho Ikhlasul; Ardi Wijaya; Nuri David Maria Veronica; Rozali Toyib
Jurnal Media Infotama Vol 20 No 1 (2024): April 2024
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i1.5679

Abstract

The harvest of fresh fruit bunches (FFB) from palm fruit is done with fruit that is of good quality, namely fruit that is dark red in color or has lots of knots, so that the quality of the palm oil produced increases. Low quality produced will of course further weaken competitiveness. Determining the quality classification of palm oil can be done through image processing techniques. Classification is the process of declaring a data object to one of the previously defined categories. Categorization of data sets can involve grouping them into similar types of classification or identifying similar characteristics across a number of observations. Classification is supported by the concept of pattern recognition, classifying the quality of palm oil products as categories produced. Efforts to achieve the expected quality standards by using quality control. This classification of palm oil is divided into quality classes, namely good and not good. Knowing the quality of palm oil is done by making an application for palm oil quality using image processing. There are quite a lot of methods used in image processing technology. One of them is the Gray Level Co-Occurrence Matrix (GLCM) method. Gray Level Co-Occurrence Matrix (GLCM) is a method used for texture analysis/feature extraction, feature acquisition is obtained from matrix pixel values, which have certain values ​​and form an angle pattern. Palm Fruit Quality Classification Using Gray Level Co-occurrence Matrix With Variations in Object Direction. It is hoped that this application can help determine the quality of palm fruit more easily and efficiently.
ANALISIS PENGENDALIAN PERSEDIAAN PRODUK DENGAN METODE EOQ BERBASIS WEB Rekhi Thiara; Ardi Wijaya; Pahriza Pahriza; Khairullah Khairullah
Jurnal Media Infotama Vol 20 No 1 (2024): April 2024
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i1.5749

Abstract

Inventory management is a crucial aspect in maintaining business operations. This article discusses the implementation of the Economic Order Quantity (EOQ) method in inventory control of products using a web-based application. The EOQ method is employed to optimize the most efficient order quantity while considering ordering costs and holding costs. In this study, we emphasize the significance of proper inventory management in ensuring product availability. Distributors or companies require an accurate calculation system to determine the appropriate order quantity and timing. Errors in inventory management may lead to missed sales opportunities or detrimental excess inventory. The utilization of computer technology is pivotal in expediting and enhancing decision-making processes related to inventory. The EOQ method is systematically implemented through a web-based application to facilitate intelligent product inventory planning. This application enables the calculation of crucial parameters such as Economic Order Quantity (EOQ), Reorder Point, and Total Costs. The findings of this research demonstrate that the implementation of the EOQ method in inventory management has positive effects in addressing stockouts and excess inventory issues. Furthermore, companies can reduce overall inventory costs by optimizing resource utilization. The web-based application with the EOQ method provides an effective solution for achieving efficiency and cost reduction in product inventory operations
Aplikasi Penjualan Fokus Komputer Menggunakan Bahasa Pemrograman PHP dan Metode Apriori Arya Gilang Ramadhan; Pahrizal Pahrizal; Ardi Wijaya; Rozali Toyib
Jurnal Media Infotama Vol 20 No 2 (2024): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i2.6446

Abstract

Information technology-based sales applications have emerged as essential solutions for optimizing sales processes, tracking inventory, and understanding customer purchasing patterns. Fokus Computer Store offers a range of products, including computer components, laptops, as well as accessories such as mice, mouse pads, keyboards, USB drives, and other computer components. However, challenges arise in sales efficiency, where certain items tend to accumulate without being sold over extended periods, impacting the store's cash flow. Therefore, an application capable of providing product recommendations based on previous sales data becomes crucial in assisting the store in effective inventory management and maintaining a smooth cash flow. The Apriori method is one form of association rule in the field of data mining. Alongside Apriori, there are other methods within this category, such as Generalized Rule Induction and Hash-Based Algorithms. The Apriori method, being a proven effective algorithm for association analysis, will be employed to uncover potential hidden purchasing patterns within the store's transactional data. By analyzing customer purchase data, this application can identify relationships between frequently co-purchased products. The results of this analysis can be utilized to formulate product recommendations for customers, enhance cross-product sales opportunities, and support inventory management decisions. This application can serve as a point-of-sale system at Fokus Computer Store, with the ability to display the outcomes of the Apriori algorithm calculations based on the input sales data. Despite the application developed by the author having certain limitations, particularly in terms of user interface and data, the author anticipates receiving constructive criticism and suggestions to aid in refining the application for the betterment of its future iterations
Penerapan Teknologi Location Base Service (LBS) dalam Pencarian Stok Ketersedian Gas Bersubsidi di Distributor Resmi Ardi Wijaya; Rozali Toyib; M Sapta Pirdaus; Della Rahma Della
Jurnal Media Infotama Vol 21 No 1 (2025): April 2025
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i1.7663

Abstract

The main problem is the distribution of these gases. Many other areas experience gas shortages, especially before holidays or other big events, it is difficult to obtain gas at such times. after conducting further investigation, I discovered that there were a number of games taking place in certain locations, most agents held back gas sales and waited for shortages so that gas prices could increase significantly and this also happened due to high public demand for gas at certain times, such as during Eid al-Fitr which has just passed, and this situation can arise when public demand increases, so that gas stocks can quickly decrease, without being balanced by equal distribution of gas. The solution to this problem is to develop an Android application that can show the location of places that provide gas, as well as monitoring gas stocks available in several locations. It is hoped that this can reduce gas containment measures, because this application can track who has purchased gas and who has not. In conclusion, this system makes it easy for users to obtain reel time information, but there are weaknesses that are influenced by the presence of open and closed spaces and inaccuracies between actual locations.
Deteksi Kondisi Uang Bagus Dan Rusak Dengan Pengolahan Citra Digital Berbasis Convolutional Neural Network (CNN) Arjun Putra Nandika; Muhammad Imanullah; Ardi Wijaya; Dandi Sunardi
Jurnal Media Infotama Vol 21 No 1 (2025): April 2025
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i1.8121

Abstract

Intisari— Peredaran uang tunai yang layak edar sangat penting untuk menjaga stabilitas ekonomi dan kualitas transaksi keuangan. Namun, identifikasi kondisi uang kertas masih dilakukan secara manual, yang memakan waktu dan rentan terhadap kesalahan manusia. Penelitian ini mengembangkan sistem deteksi kondisi uang berbasis Convolutional Neural Network (CNN) untuk mengklasifikasikan uang dalam kondisi baik atau rusak secara otomatis. Dataset terdiri dari 500 gambar uang, yang diproses menggunakan augmentasi data dan dibagi menjadi 80% data latih dan 20% data validasi. Model CNN yang dikembangkan memiliki lapisan utama seperti konvolusi, batch normalization, ReLU, pooling, dan fully connected layer, serta dilatih dengan optimizer Adam selama 50 epoch dengan learning rate 0.00001. Implementasi sistem dalam Graphical User Interface (GUI) berbasis MATLAB mempermudah penggunaannya. Hasil pengujian menunjukkan akurasi validasi 93%, precision 97%, dan recall 96%. Survei terhadap Bank Indonesia menunjukkan sistem ini mendapat skor sempurna dalam efisiensi, akurasi, kemudahan pengoperasian, dan kecepatan deteksi. Dengan hasil ini, sistem memiliki potensi untuk diterapkan dalam layanan kas keliling Bank Indonesia dan lembaga keuangan lainnya. Kata Kunci: CNN, Pengolahan Citra Digital, Klasifikasi Uang, GUI
Implementasi Location Based Service Dalam Perancangan Aplikasi Pencarian Lokasi Tambal Ban Di Kota Bengkulu Dian Ariestanto; Dedy Abdullah; Muntahanah Muntahanah; Ardi Wijaya
Jurnal Media Infotama Vol 21 No 1 (2025): April 2025
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i1.8170

Abstract

The LBS technology used in the tire patch location search application in Bengkulu City will help customers find the tire patch that best suits their preferences and location. With its ever-evolving environment, Bengkulu will also benefit from the adoption of this technology. By incorporating LBS technology in the design of tire patch locator applications, the city can encourage local trade, provide support to small and medium-sized entrepreneurs, and create a healthier and more sustainable business ecosystem. The purpose of this research is to find and develop innovative solutions to meet customer needs and support the growth of local businesses. This study examines the potential benefits of incorporating LBS technology in the application of finding tire patching locations in Bengkulu City. Data Collection: Some of the methods used to collect data to obtain the necessary information are literature studies; This method involves reviewing research books and journals relevant to the research subject to gain a better understanding of materials such as Location-based Services, Google Maps APIs, and location-based services. The menu features, which are required to build this app, include an app menu that consists of the location of the tire patch and information about the tire patch.
PREDIKSI KANDUNGAN PROTEIN KUNING TELUR DENGAN PENGELOLAAN CITRA DIGITAL Gugi Walus Riman; Rozali Toyib; Ardi Wijaya; Muntahanah
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 7 No 4 (2025): EDISI 26
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v7i4.6940

Abstract

Kuning telur adalah salah satu sumber protein yang berkualitas tinggi dan mudah diserap tubuh. Namun, selama ini pengujian kadar protein biasanya dilakukan dengan metode laboratorium seperti Kjeldahl, Biuret, atau spektrofotometri. Meskipun akurat, metode tersebut membutuhkan biaya besar, waktu lama, bersifat merusak sampel, dan memerlukan tenaga ahli. Oleh karena itu, diperlukan cara alternatif yang lebih cepat, murah, dan tidak merusak sampel. Penelitian ini bertujuan membuat sistem prediksi kandungan protein kuning telur menggunakan metode Backpropagation Neural Network (BNN) berdasarkan pengelolaan citra digital. Data diambil dengan memfoto kuning telur menggunakan kamera digital dalam kondisi pencahayaan terkontrol. Citra yang diperoleh dikonversi dari model warna RGB ke HSV, kemudian dianalisis kandungan proteinnya menggunakan aplikasi yang telah dibuat dengan bahasa pemograman python. Hasil penelitian menunjukkan bahwa bahwa kandungan protein pada kuning telur berbeda-beda. Dari beberapa jenis jelur kandungan protein tertinggi adalah telur ayam kampung. Metode Backpropagation Neural Network (BNN) dapat mencapai akurasi hingga 85%. Hasil ini menunjukkan bahwa pendekatan ini dapat menjadi alternatif yang efektif untuk menggantikan metode analisis kimia yang mahal dan memakan waktu.
Analisis Penerapan Teknologi Berbasis Digital dan Strategi Pengembangan Sumber Daya Manusia dalam Meningkatkan Kinerja dan Produktivitas Perusahaan pada PT. UG Mandiri di Kota Bengkulu Anita Septiani Putri; Ardi Wijaya
JPNM Jurnal Pustaka Nusantara Multidisiplin Vol. 4 No. 2 (2026): May : Jurnal Pustaka Nusantara Multidisiplin (ACCEPTED)
Publisher : SM Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59945/jpnm.v4i2.1150

Abstract

Perkembangan teknologi digital menuntut perusahaan untuk mampu beradaptasi dengan memanfaatkan teknologi secara optimal serta didukung oleh sumber daya manusia yang kompeten. Penelitian ini bertujuan untuk menganalisis penerapan teknologi berbasis digital serta strategi pengembangan sumber daya manusia dalam meningkatkan kinerja dan produktivitas perusahaan pada PT. UG Mandiri Kota Bengkulu. Metode yang digunakan dalam penelitian ini adalah pendekatan deskriptif kualitatif melalui teknik observasi, wawancara, dan studi dokumentasi terhadap aktivitas operasional perusahaan. Hasil penelitian menunjukkan bahwa PT. UG Mandiri telah memanfaatkan teknologi komputer dan sistem administrasi digital dalam mendukung proses pengolahan data, pencatatan transaksi, serta komunikasi internal perusahaan. Namun demikian, penerapan teknologi tersebut belum sepenuhnya terintegrasi pada seluruh divisi sehingga masih terdapat beberapa proses kerja yang dilakukan secara manual atau semi-digital. Dari sisi pengembangan sumber daya manusia, perusahaan telah melakukan pembinaan dan pelatihan internal, namun program pengembangan kompetensi karyawan masih bersifat insidental dan belum terstruktur secara sistematis. Oleh karena itu, diperlukan integrasi antara penerapan teknologi dengan strategi pengembangan sumber daya manusia yang berkelanjutan agar tercipta kesesuaian antara sistem teknologi dan kompetensi karyawan dalam meningkatkan efektivitas serta produktivitas perusahaan.
Implementasi Wiener, Contrast Stretching, Sharpening Filter ada Citra Semangka Menggunakan MSE Muhammad Naufal Al Fadhil; Anita Septiani Putri; Dwy Mutia Dita; Ilpiklus Andika Putra; Sherenia Anisah Putri; Ardi Wijaya
JPNM Jurnal Pustaka Nusantara Multidisiplin Vol. 4 No. 2 (2026): May : Jurnal Pustaka Nusantara Multidisiplin (ACCEPTED)
Publisher : SM Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59945/jpnm.v4i2.1166

Abstract

Perkembangan teknologi komputer mendorong kemajuan dalam bidang pengolahan citra digital yang memungkinkan proses analisis dan peningkatan kualitas gambar secara lebih efektif. Penelitian ini bertujuan untuk mengimplementasikan dan membandingkan kinerja tiga metode peningkatan kualitas citra, yaitu Wiener Filter, Contrast Stretching, dan Sharpening Filter pada citra buah semangka. Penelitian menggunakan pendekatan eksperimen dengan metode kuantitatif, di mana citra semangka digunakan sebagai objek penelitian dan diproses menggunakan beberapa teknik peningkatan kualitas citra. Evaluasi hasil pemrosesan dilakukan dengan metode Mean Squared Error (MSE) untuk mengukur tingkat kesalahan antara citra asli dan citra hasil pemrosesan. Hasil penelitian menunjukkan bahwa Wiener Filter memberikan nilai MSE terendah sehingga paling efektif dalam mengurangi noise dan menghasilkan citra yang lebih halus. Contrast Stretching mampu meningkatkan kontras citra sehingga objek terlihat lebih jelas, sedangkan Sharpening Filter meningkatkan ketajaman dan mempertegas tepi objek dalam citra. Berdasarkan analisis visual dan numerik, masing-masing metode memiliki keunggulan tersendiri sesuai dengan tujuan pengolahan citra yang diinginkan. Penelitian ini diharapkan dapat menjadi referensi dalam pengembangan teknik peningkatan kualitas citra digital pada berbagai aplikasi pengolahan citra.
Co-Authors A.R. Walad Mahfuzhi Abdul Syukur Abdullah, Dedy Ade Ferdiansyani Ade Saputra Adedio, Rangga Affandi Mussa, Anitya Putri Afrizal Afrizal Agus Setiawan Agustio, Faidillah Ahmad Novianto Aji Setiyadi Alam, RG.Guntur Alamsyah, Malik Fajar Aldi Gustomi Alfarrizi, Jhodie Ali Sutan Pane Andilala Andre Mefriansyah Anes Meyzera Anggara, Muhammad Andre Angtyas Candra Pratama Anisa Fhadila Anita Septiani Putri Anita Septiani Putri Aprianti, Zalia Apridiansyah, Yovi Ardiansyah, Adidi Muhammad Ardoni, Yoan Ari Purjiawan Arif Setiawan Aripun Arjun Putra Nandika Army Martia Harjuna Arya Gilang Ramadhan Avida, Meny Bagaskoro, Siswo Bryan Febriansyah Cecep Saputra Chahima Gustina Chandra Kusuma Johan2 Cheka, Julyane Kevin Daffa Putra Sadhevi Dandi Sunardi Darnita, Yulia Darsah Wendanado David Maria Vironika, Nuri Dede Erawan Dedy Abdullah Dedy Abdullah Deki Rahmat Della Rahma Della Dendi Pranata, Dendi Pranata Dendy Pratama Dian Ariestanto Diana Diana Diana Diana M.Kom Dimas Andrean Saputra Dinda Putri Dita, Willia Cahaya Doli Juliadi Dwita Deslianti Dwy Mutia Dita Dwy Mutia Dita Eka Sahputra Elly Hertita Elly Hertita fadila, selvana Fadli, Rengga Fadlikal Ilham Aditma, Afredo Febitri, Nora Febriani, Lovi Feni, Rita Fernando, Jerry Franata, Heru Gading Cempaka Gugi Walus Riman Gunawan Gunawan Gunawan Gunawan Gunawan Guntur Alam Gustomi, Aldi Habiel Fachrozzy Hariani, Merti Sri Harry Witriyono Harry Witriyono Hendri Wibowo, Sastya Hennie Lestyaningsih Heru Franata Heru Franata hidayah, agung kharisma Iffah Zafira Jannati Ilpiklus Andika Putra Ilpiklus Andika Putra Imelia Okta Rama Yanti Indra Setiawan Irsyad Ahmad Fauzan Janati, Iffah zafira Jeri Fernando Winata Jerry Ario Zhonata Jerry Fernando Jestika Safitri Juhardi , Ujang Juhardi, Ujang Julfi Siswanto Juliza, Sita Khairullah khairullah Kharisma , Agung Khoiriah nur aisyah Kirman Kirman Kirman, Kirman Kontesa, Ronaldo Kornengsih, Resnita Kurniawan, Edo Kusuma Putra Al Pharisie Lestri Yanti Liza nurpatmala M Rafli Yudhatama M Sapta Pirdaus M Yusuf Ramadhan M. Dhaffa Ghiffari M. Dhaffa Giffari M. Gilang Ramadhan M. Gilang Ramadhan M. Husni Rifqo M. Khairul Razikin M. Sapta Firdaus M. Sapta Firdaus Marhalim marhalim, marhalim Maskuri Sutomo Maulana, M Fiqri Mawarni, Shindy Meny Avida Merti Sri Hariani Metrisza Yona Saputra Meyzera, Anes Mohammad Abkar Nur Rohman Mohammad Candra wiliam Muhamad Abdul Fajri Muhammad Aksyah Muhammad Andre Anggara Muhammad Febriansyah Muhammad Hikmal Febrian Muhammad Husni Hidayat Muhammad Husni Rifqo Muhammad Husni Rifqo Muhammad Imanullah Muhammad Kurrata A’yunin Muhammad Miatsyah Muhammad Naufal Al Fadhil Muhammad Naufal Al Fadhil Muhammad Rafi Aldan Pratama Muhammad Rifqo Muhammad Teguh Satrio Mulyadi, Maheran Muntahanah Muntahanah Muntahanah, Muntahanah Mutiara Hikmah Nadia Berliana Nagita Efprillia Nhadya Vita Loca Nirina Nurhazelin Noris Feter Novan Gilang Ramadhan Nur'aini Nur'aini Nur'aini, Nur'aini Nurhayati Nurhayati Nuri David Maria Veronica Nuri David Maria Veronika Nuri David Maria Veronika Nurwijayanti Nyko Condro Dinoto M.N Pahriza Pahriza Pahrizal Pahrizal Pahrizal Pahrizal Pahrizal, Pahrizal Pandu Sujaba Pasha Osama F Fatona Pindo Putra Pratama Pitria Hasanah Pratama, Rindi Yudha Prayoga Putra Puji Rahayu Putra, Erwin Dwika Putra, Muhammad Ardiansah Putra, OJi Herwanda Putra, Riky Ade Putri Rahma Della Putri, Dinda Raffles, Richard Rahmat, Deki Rajes Andika Putra Ramzi, Reja Muhamad Randi Randi Afri Nandes Randi Trio Ardiansyah Rasyid, Muhammad Soelaiman Regi Febian Guteres Rekhi Thiara Renaldi Renaldi Reyno Januarian Syatria Ria Parina Ridho Akbar B41110063 Ridho Ikhlasul Rifqo, Muhammad Husni rindy, rindy balincha Rohman, Mohammad Abkar Nur Ronaldo Kontesa Rosalina Rosalina Rozali Toyib Rozali Toyib Safitri Safitri Safitri Safitri Safitri, Aisyah Sandhy Fernandez Seftianto Selta Jaya Putra Sherenia Anisah Putri Sherenia Anisah Putri Soneta Sulaini Sonita , Anisya Sonita, Anisya Sulaini, Soneta Supriatin Supriatin Supriatin Supriatin, Supriatin Surya Ade Saputera Susilo Dwi Prabowo Tauhid, Muhammad Ikhsan Teguh Wibowo Thio Ragil Alfares Toyib, Rozali Ujang Juhard ujang juhardi Umasih Umasih Venny Arisi Veronika, Nuri David Maria Vicky Victori Vivin Tamara Waluyo Willia Cahaya Dita Wisnu Gusti Gusti Gusti Witriyono, Harry Yawahar, Jon Yoan Ardoni Yoga Muhamad Aryanto Yoga Saputra Yogi Bakti Husada Yovi Apridiansyah Yovi Apridiansyah Yovi Apridiyansyah Yovi Apridiyansyah Yuda, Azildjian Arma Yudha, Bima Satria Yulia Darmi Yulia Darnita yuliadarnita yuliadarnita Yuza Reswan Zalia Aprianti