Article Per Year (5 Year)
p-Index From 2021 - 2026
22.02
P-Index
This Author published in this journals
All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Sains dan Teknologi TELKOMNIKA (Telecommunication Computing Electronics and Control) CESS (Journal of Computer Engineering, System and Science) Proceeding of the Electrical Engineering Computer Science and Informatics JOIN (Jurnal Online Informatika) Sinkron : Jurnal dan Penelitian Teknik Informatika SISFOTENIKA JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Pilar Nusa Mandiri Jurnal Mantik Penusa JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI ILKOM Jurnal Ilmiah Jiko (Jurnal Informatika dan komputer) JSiI (Jurnal Sistem Informasi) Jurnal Pengembangan Riset dan Observasi Teknik Informatika JURIKOM (Jurnal Riset Komputer) Jurnal Riset Informatika JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol Building of Informatics, Technology and Science Jurnal Mantik Aisyah Journal of Informatics and Electrical Engineering INTI Nusa Mandiri Journal of Information Systems and Informatics Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Teknik Informatika C.I.T. Medicom Journal of Intelligent Decision Support System (IDSS) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Teknik Informatika (JUTIF) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI JPM: JURNAL PENGABDIAN MASYARAKAT Journal La Multiapp KLIK: Kajian Ilmiah Informatika dan Komputer International Journal of Basic and Applied Science JUSTIN (Jurnal Sistem dan Teknologi Informasi) PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Equivalent: Jurnal Ilmiah Sosial Teknik SAGA: Journal of Technology and Information Systems
Agung Triayudi
Universita Nasional
Aerospace Engineering Humanities Astronomy Automotive Engineering 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 Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

Published : 255 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 255 Documents
Search

 17   18   19   20   21 
Analisa Pieces Framework Pada Rancangan Aplikasi E-Commerce Minyak Beku Berbasis Web Menggunakan Metode Fast Adi Yulianto; Agung Triayudi; Endah Tri Esti Handayani
JUSTIN (Jurnal Sistem dan Teknologi Informasi) Vol 10, No 4 (2022)
Publisher : Jurusan Informatika Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/justin.v10i4.51125

Abstract

Perkembangan teknologi yang semakin pesat dan berkembang yang memungkinkan beberapa aspek untuk melakukan adaptasi perubahan, termasuk pada perkembangan teknologi pemasaran yang dapat dilakukan secara digitalisasi. Digitalisasi pada pemasarannya dapat bermacam-macam jenisnya untuk melakukan pemasaran salah satunya dapat menggunakan website. Dengan adanya pemasaran melalui website maka dapat mempermudahkan antara penjual dan pembeli dalam melakukan transaksi agar lebih mudah dan lebih modern dalam mengikuti perkembangan teknologi saat ini. Dalam kasus ini penulis menggunakan contoh pada “Ogay Minyak Beku”, yang melakukan transaksi pembelian dan pemasaran masih menggunakan media konvensional dengan cara melakukan penjual melalui personal chat. Tujuan dari penelitian ini dapat membantu pemasaran melalui website dan meningkatkan minat pembeli. Metode pengembangan aplikasi ini menggunakan metode Framework for the Application of System Thinking (FAST) dan metode Pieces Framework sebagai analisa kepuasan aplikasi. Hasil dari penelitian ini dapat menghasilkan layanan yang berbasis website yang dapat memudahkan penjual dan pembeli dan memudahkan penjual dalam melakukan pemasaran.
Penerapan Data Mining Untuk Klasifikasi Penerima Dana Bantuan Sosial Dengan Menggunakan Algoritma K-Nearest Neighbor Agung Triayudi
Building of Informatics, Technology and Science (BITS) Vol 5 No 2 (2023): September 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v5i2.3972

Abstract

The Social Assistance Fund (Bansos) is a government program carried out to assist in eradicating community poverty in Indonesia and improving the welfare of families in Indonesia. Social Assistance Funds (Bansos) are distributed from the central ministry, then forwarded to local social services and then distributed to the community through each sub-district office. After data collection is carried out, the process of determining and selecting the families who receive Social Assistance Funds (Bansos) is carried out. However, in the implementation process there were several obstacles, one of which was that the provision of Social Assistance Funds (Bansos) was still not on target for families who deserved to receive Social Assistance Funds (Bansos). This problem is an important matter that must be resolved, this is because the main aim of the Social Assistance Fund (Bansos) program is to help eradicate poverty in Indonesia. Reviewing and processing data again based on previous data can be completed using one of the computer techniques. Data mining is a technique used to reprocess data. Data processing returns to data mining based on data previously stored in a data collection or data warehouse. Classification is part of data mining which aims to find out certain models of data so that they can be divided into several classes or groups. The K-Nearest Neighbor (K-NN) algorithm is part of a data mining technique which aims to divide data into certain groups. The results obtained in the research are the K value used in the research, namely K=7, the result of the family data grouping process which has just determined that the family received Social Assistance Funds (Bansos).
Sistem Pendukung Keputusan Rekomendasi Objek Wisata Menerapkan Metode MABAC dan Pembobotan ROC Fifto Nugroho; Agung Triayudi; Mesran Mesran
Jurnal Sistem Komputer dan Informatika (JSON) Vol 5, No 1 (2023): September 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i1.6822

Abstract

North Sumatra possesses abundant potential for tourist attractions, yet achieving the optimal selection of these attractions poses a challenge. Therefore, a decision support system is required to aid in the decision-making process for choosing the most suitable tourist attractions. In this study, the Multi Atributive Border Approximation Area Comparison (MABAC) method is employed to rank tourist attractions based on predefined criteria. MABAC combines geometric approaches with boundary approximation area comparison analysis to calculate priority scores for each tourist attraction. Additionally, the Rank Order Centroid (ROC) method is used to assign weights to the identified criteria. This research reveals various issues in the selection of tourist attractions in North Sumatra, such as complex criteria, variations in criteria weights, and insufficient tools to address these challenges. The primary objective of this study is to develop a decision support system capable of assisting stakeholders in selecting tourist attractions aligned with their preferences and objectives. The outcome of this research is the development of an efficient decision support system to aid in the selection of tourist attractions in North Sumatra. This system reduces subjectivity in decision-making, provides more accurate ranking based on established criteria, and assists stakeholders in understanding the process of selecting tourist attractions in a more transparent manner. The implications of this research include enhancing the quality of decision-making in the tourism industry and optimizing the utilization of tourist attraction potential in North Sumatra. As for the tourism recommendation with the highest rank, alternative 3 is obtained with a value of 0.6343, namely Paropo natural tourism.
Penentuan Mahasiswa Berprestasi dengan Menerapkan Metode Multi Attribute Utility Theory (MAUT) Wulan Kartika Murti; Agung Triayudi; Mesran Mesran
Jurnal Sistem Komputer dan Informatika (JSON) Vol 5, No 1 (2023): September 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i1.6823

Abstract

Being an outstanding student in higher education is certainly a positive and proud thing. Where national education aims to develop the potential of students, in order to become educated, creative students and become democratic and responsible citizens. In determining outstanding students, there are several criteria that must be met by each student as a condition for determining outstanding students. The problem that occurs is that sometimes there are obstacles when assessing the criteria set for each prospective participant. To help the evaluation team in determining outstanding students, a decision support system is needed, sometimes experiencing obstacles when assessing the criteria set for each candidate. In the assessment carried out directly there are prospective candidates who do not meet the criteria standards but excel in other criteria. The Multi Attribute Utility Theory (MAUT) method is a quantitative comparison method used to convert several interests into numerical values on a scale of 0-1 with 0 representing the worst value and 1 the best value. The result of this research is a student determination decision that has the highest score value, namely Netralman (A1) with a utility value of 0.462.
Implementasi Data Mining dengan Algoritma Apriori dalam Menentukan Pola Pembelian Aksesoris Laptop Gatot Soepriyono; Agung Triayudi
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 4 (2023): Oktober 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i4.6555

Abstract

Consumer purchasing patterns are an important factor in the business world, which influences marketing strategies, stock management and company profits. In the context of the laptop accessories business, a deep understanding of consumer purchasing patterns is very necessary to increase operational efficiency and customer satisfaction. Data mining, as a powerful data analysis method, has become an effective tool in uncovering these patterns. One of the data mining algorithms that is often used to analyze association patterns is the Apriori algorithm. This research applies the Apriori algorithm to identify and analyze purchasing patterns for laptop accessories from transaction data obtained from a retail store. By analyzing this data, we can identify items that are frequently purchased together and purchasing patterns that may not be immediately apparent to humans. The results of this analysis provide valuable insight into consumer preferences, helping retail stores to design more effective marketing strategies. The results of this research can also be used to manage stock more efficiently. By knowing deeper purchasing patterns, retail stores can predict stock needs more accurately, reduce the risk of excess inventory, and optimize operational expenses. Thus, this research can help increase company profits and satisfy customers by providing accessories that suit their preferences. In the increasingly developing information era, the use of data mining and algorithms such as Apriori is becoming increasingly important. This research is an example of how data analysis can be used in the real world to support smarter and more efficient decision making in the laptop accessories business. As a result, a better understanding of consumer behavior and purchasing patterns can provide a strong foundation for developing successful business strategies.
Perbandingan Kinerja Algoritma Clustering Data Mining Untuk Prediksi Harga Saham Pada Reksadana dengan Davies Bouldin Index Gatot Soepriyono; Agung Triayudi
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 4 (2023): Oktober 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i4.6623

Abstract

Mutual funds are a container that can be used to accommodate funds from the public which will later be distributed to the owners of the company. The ease of investing in share prices cannot be separated from the ease of obtaining information. The share price that is very popular with the public is the share price for banks, whether privately owned or government owned. However, even though banks are very close and popular with capital market players, this does not rule out the possibility of a decline in share prices. This problem is not a problem that can be considered trivial and ignored, if you continuously experience losses from the capital market it will certainly give rise to distrust or a lack of interest in the public to participate in investing in companies. Predictions for stock prices must be done well and correctly and get accurate results, therefore it is necessary to use a special technique or method to help carry out the prediction process until results are obtained with a good level of accuracy. The expected prediction process is in line with the concept of data mining. The process of applying clustering for predictions is also considered very suitable, this is because in stock prices there is no target class for each data. The K-Means algorithm and K-Medoids algorithm are part of cluster data mining to be used to make predictions based on cluster formation. The purpose of the comparison is to get more reliable results, where these results can be seen from better algorithm performance. The performance measurement process for the K-Means and K-Medoids algorithms will later be assessed based on the Davies Bouldin Index (DBI). The results of the research show that the performance results of the K-Means algorithm are better than the K-Medoids algorithm. This is proven by the DBI value obtained from the K-Means algorithm being no more than 0.6, while in the K-Medoids algorithm the DBI value obtained is up to 5.822. Overall, each stock data has an optimal cluster based on the clustering process with the K-Means algorithm. The optimal cluster results in BMRI stock data, the optimal cluster is at K=4 with a DBI value of 0.501. In the BBNI stock data, the optimal cluster is at K=4 with a DBI value of 0.500. In the BBCA stock data, the optimal cluster is at K=3 with a DBI value of 0.441. In the BNGA stock data, the optimal cluster is at K=2 with a DBI value of 0.263. In the BDMN stock data the optimal cluster is at K=2 with a DBI value of 0.028 and in the MEGA stock data the optimal cluster is at K=4 with a DBI value of 0.353.
Point of Sales Menggunakan Metode Agile Development pada Bengkel Mandala Motor Andriansyah Utomo; Agung Triayudi; Ira Diana Sholihati
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 7 No 3 (2023): JULY-SEPTEMBER 2023
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v7i3.902

Abstract

The development of the current Point of Sales (POS) system is very important for industry, especially for trading efforts, many business industries use digital recording or data collection systems. Mandala Motor Workshop is company engaged in the automotive sector, providing repair services and selling spare parts for two-wheeled vehicles. At this time the sales system that runs at the Mandala Motor Workshop is still manual in making business records, there are often mistakes when dividing the entire payment, there’s no recording of client information, recording inventory of goods written on paper notes, resulting risk of loss and inefficiency. Point of Sales (POS) is system can help the marketing business process of mandala motor repair shop. Each Point of Sales consists of hardware and applications, these 2 parts used for running business process. System design using Agile Development Method has six stages consisting of planning, implementation, testing, documentation, deployment, and maintenance. Aimed assisting management in checking marketing reports directly, making easier for industry to carry out marketing business, inventory, client information and producing good communication for companies, employees, clients. This application has also been evaluated using the Software Usability Scale (SUS) method, where the average of 200 respondents, namely 76.6%, is included in the acceptable application acceptance level category, the grade level category is in position C, and the adjective rating category be in position. acceptable so that it can be concluded that the application is suitable for use by users and has been fulfilled.
Pengaruh Penerapan Digital Marketing Untuk Peningkatan Pendapatan UMKM Sekar Handycraft Agung Triayudi; Mesran; Suginam; Joli Afriany; Fifto Nugroho
JPM: Jurnal Pengabdian Masyarakat Vol. 4 No. 2 (2023): October 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jpm.v4i2.1349

Abstract

In today's era of digitalization, the implementation of effective marketing strategies becomes crucial for the growth of Small and Medium-sized Enterprises (SMEs). Sekar Handycraft, as an example of an SME in the handicraft sector, faces challenges in enhancing visibility and market access. This research utilizes a quantitative approach with a survey method involving data collection through questionnaires from Sekar Handycraft customers. Linear regression analysis is employed to measure the relationship between the implementation of digital marketing and income improvement. The research results indicate that the implementation of digital marketing has a positive and significant impact on the income improvement of Sekar Handycraft as an SME. These findings suggest that digital marketing strategies, including the utilization of social media, websites, and e-commerce platforms, can enhance product exposure and expand market reach for SMEs. In the context of global competition, adapting to digital marketing tools becomes a necessity for SMEs to remain relevant and sustainable. This research provides insights into the importance of digital transformation in SME development and offers guidance to similar businesses on optimizing the use of digital platforms to boost income. However, aspects such as technological access capability and understanding of digital marketing also need to be considered to fully realize the benefits of these strategies.
Pengaruh Strategi Pemanfaatan Media Sosial untuk Meningkatkan Pemasaran Produk UMKM Sekar Handycraft Agung Triayudi; Syafrida Hafni Sahir; Mesran; Suginam
JPM: Jurnal Pengabdian Masyarakat Vol. 4 No. 2 (2023): October 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jpm.v4i2.1350

Abstract

Understanding the impact of social media utilization strategies that can attract consumer attention in order to increase product marketing is essential. Social media brings various benefits in a business context, such as increasing business exposure, expanding target market reach, building public interest and brand awareness, and providing a tool to measure the success of marketing campaigns. Sekar Handycraft SME are currently not optimizing the use of social media due to limited understanding of attracting consumer attention, which is the main cause. Therefore, to increase the competence of the Sekar Handycraft team, it is necessary to organize workshops or training to deepen understanding of the effects of using social media strategies in increasing product promotion. Through community service efforts at SME Sekar Handycraft, it is hoped that knowledge about social media utilization strategies can become a valuable asset for the SME Sekar Handycraft team so that they can more efficiently use social media to intensify product marketing.
Penerapan Metode MOOSRA Dalam Seleksi Pemberian Bantuan Sosial Tahunan Perusahaan Siti Nurhalizah; Yanto Murnihati Waruwu; Agung Triayudi; Mesran
Resolusi : Rekayasa Teknik Informatika dan Informasi Vol. 4 No. 2 (2023): RESOLUSI November 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/resolusi.v4i1.1451

Abstract

Provision of social assistance in the form of cash organized by the company,in order to support economic growth everyone is entitled to receive social assistance.The social assistence provided certaily takes into account many things that must br the basis for making the right decisoin so that the funds or assistance are right on targert.To support the organizing committee for provinding social assistance,of course,asses sereval main factors which will from the basis for evaluating each member,and these assesment factors consist of general,ecenomic,skill and discipline assesments. To support eeffectitiveness in determining the recipients of social assistance from the company,the right decision is made to determine the appropriate criteria for receiving social assistence and  of course this is the most important policy in the company so that the funds are right on target.This software is built based on a decision support system that has the ability to facilitate a management process in making the right decision in receiving a company’s annual social assistence,using the Multi-Objective Optimization On the Basis of Simple Ration Analysis Method.
Co-Authors ., Hervian AAN SETIAWAN Abdul Azis Abdul Aziz Hasibuan Abdulah, Muhamad Biyan Aceng Supriyadi Achmad Syaifudin Rodhi Achmad Syirod Ade Muhammad Nur Fauzi Adi Firman Ari Saputra Adi Yulianto Adian Fatchur Rochim Aditya lutfi Irawan Afid Rozaqi Afiyan Nur Chafidin Afrasim Yusta Afriany, Joli Agus Iskandar Agus Iskandar Agus Iskandar Ahmad Arief Fadila Ahmad Avivanto Ahmad Rizki Firdaus Aji Juliana Akhmad Primulyana Albaar Rubhasy Albaar Rubhasy Aldi Andres Ardiansah Aldya Bagas Prahastyo Alfian Muhharam Ali Rahman Alisa Fitriyani Alvian Nur Efendi Ananda Sustantiara Andarweni, Dhea Andreas Gerhard Simorangkir Andrianingsih Andrianingsih Andriansyah Utomo Anggita Putri Maharani Anhar Hawari Anharudin Anharudin apiek maniek Ardinsah Ardinsah Ardiyanto Wantudi Arie Gunawan Ariel Cahyono Arika Zuraidah Aris Gunaryati Arya Dimas Setiadi Arya Sastranegara Astri Pertiwi Atikah Suhaimah Ben Rahman Benrahman Bernardito Jordan Cahya, Nilam Candra Kurniawan Chafidin, Afiyan Nur Chuy Mandala Putra Cintya Damayanti Dandi Putra Daud Iswandii Della Diniyati Deny Hidayatullah Dewi Janetta Az Zahra Dhea Andarweni Dhieka Avrilia Lantana Dian Yunita Sihombing Diaz Samba Prayogi Dicke Rifki Fajrin Dimas Aryanto Wijaya Dini Nofrisa Diniyati, Della Diranisha, Virly Djamaludin, Muhammad Ariel Dwi Auditira Dwi Ifan Ramadhan Dwi Juliastuti Dwika Assrani Dwina Pri Indini Dwiyatno, Saleh Dzahabi Yunas, Rio Al E, Endah Tri Efendi, Alvian Nur Eka Febriyanto Riski Eka Permana Putra Endah Tri Esti Handayani Eri Mardiani Eri Mardiani Fachid, Syakirah Fadhil Muhammad Supriyanto Fadjar, Agung Rahmad Faiq Husain Pratama Faizal Kurniawan Fajar Setiawan Hidayat Fajrin, Dicke Rifki Faran, Jhiro Fardila Inastiana Fatha Alsidqi Husaini Fathiya Zahra, Hawra Ferina Gunawan Fifto Nugroho Fikar Wahyu Tyas Tono Fikri Fajar Asshiddiqi Fikrianzi Nindyo Kusumo Fildzah Fildzah Firzatullah, Raden Muhamad Flipo Hariski Frankly Sept Genius Zendrato Gatot Soepriyono Genius Zendrato, Frankly Sept Ghulam Prasetyo Utomo Hadi Ansyah Hakam, Muhammad Aulia Haris Triono Sigit Hasibuan, Abdul Aziz Hervian . Heryanto, Yayan Hidayat, Fajar Setiawan Hoga Saragih Ibnu Nur Khawarizmi Ikbal Danu Setiawan Iksal Iksal Iksal Iksal Imam Rizqi Imanuel Sinuraya Inastiana, Fardila indrawan indrawan ingsih, Andrian Ira Diana Sholihati Ira Diana Sholihati Ira Diana Solihati Ira Diana Solihati Iskandar Fitri Ismi Naili Qurrotul Aini Ismia Iwandini Jhiro Faran Juliana, Aji Jumpa Dorisman Rajagukguk Junior, Reza Phahlevi Kabeleke Melanesia L Kartika Salma Nadhiva Karyaningsih, Dentik Kiai Agus Priyaharto Mulia I Kodim Suparman Kusumaningtyas, Grasiella Yustika Rezka Talita Latif Arif Anggoro lia kamelia Lili Dwi Yulianto Listrina Turnip Ma'arif, Ridwan Ahmad Made Yoga Mahardika Mardiani, Eri Mauludani Muhammad Melati Indah Petiwi Melisa Theresia Mesran, Mesran Moh Dani Ariawan Muhamad Biyan Abdulah, Muhammad Andhika Maulana Muhammad Ariel Djamaludin Muhammad Aulia Hakam Muhammad Faisal Abdillah Muhammad Faizal Muhammad Farhan Adistyra Muhammad Ilyas Sahputra Muhammad Jordy Muhammad Prabowo Chaniago Muhammad Rafi Fadhilah Muhammad Rizki Wardhana Muhammad Rizki Zidan Muhammad Rizky Hamdan Mutiara Mala Khairunnisa Nabilah Ananda Pratiwi Nanda Fathi Rizky Nesha Putri Pratama Nifea Kusumawardhani Nova Saragih Novi Dian Nathasia Novi Dian Nathasia Nur Hayati Nur Hayati Nur Hayati Nur Iskandar Zulkarnaen Nurfatanah Nurfatanah Nurfazriah Attamami Nurhadiyan, Thoha Oktaviani oktaviani Oktaviani Oktaviani Oky Triadi Sampurno Panjaitan, Fricia Oktaviani Penny Hendriyati Putra Dama Ramadhan Raffi Dima Sampurno Rafi Syahputra Rahmat Aji Santoso Raihan Abdi Negoro Rais Rabtsani, Muhamad Raka Alvianda Rama Setiawan Ramadhan, Duta Pramudya Ratih Mardianti Ratih Titi Komalasari Repi, Viktor Vekky Ronald Resha Anjariansyah Reynaldo, Yohanes Reza Phahlevi Junior Riad Sahara Rian Aditia Rian Rasyidhi Rian Tineges Ricky Andri Widayat Rifki Nur Apriyono Rima Tamara Aldisa Rima Tamara Aldisa Rima Tamara Aldisa Rio Al Dzahabi Yunas Ripin, Muhamad Riska Setiawati Riska Susilawati Rivaldi Okta Pratama Rizal Bagus Pambudi Rizal Toha, Muhammad Rizkah Fadillah Rizki Kurnia Rizky Setiawan Rodhi, Achmad Syaifudin Rosaima Situmorang Rosalina, Vidila Rudi Adityawan Sahputra, Muhammad Ilyas Sampurno, Raffi Dima Sari Ningsih Sawindri, Sawindri sawindri Seanand Sonia Shabrilianti Seno Hardijanto Purnomo Setiawan, Ikbal Danu Setiawati, Riska Setiono, Aji Shafira Shalehanny Shintia Mutiarani Sholihati, Ira Diana Simanjuntak, Handayani Singgih Yulianto Bastian Siti Nurhalizah Soepriyono, Gatot Solihati, Ira Diana Suginam Sugitha, I Kadek Agga Suhaimah, Atikah Suherman, Suherman Sultana Namira Sumiati Sumiati Sumiati Sumiati Sumiati, Sumiati Suparman, Kodim Susilawati . Susilawati, Riska Sussolaikah, Kelik Syabana, Ulwi Syafrida Hafni Sahir Syavira Cahyaningsih Syirod, Achmad Thoha Nurhadiyan Titih Aji Kurniawan Titik Abdul Rahman Tiyas Asih Qurnia Putri Tobby Wiratama Putra Tyas Tono, Fikar Wahyu Untoroseto, Dedi Utami, Yulianti Pratiwi Vendy Blessing Gulo Vidila Rosalina Vivimaryati Vivimaryati Vivimaryati, Vivimaryati Wahid Al Jufri Wahyu Oktri Widyarto Wardhana, Muhammad Rizki Wibowo, Adhitya Eka Winarsih Winarsih Winarsih Winarsih Winarsih Winda Antika Putri Wiratama Putra, Tobby Wulan Kartika Murti Wulan Widhari Wulandari, Faras Tira Yana Tania Haryanto Yandi Makmur Yani Sugiyani Yanto Murnihati Waruwu Yohanes Reynaldo Yulianti Pratiwi Utami Yunan Fauzi Wijaya Zahrach Artamevia Zuraidah, Arika