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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) 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 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 SAGA: Journal of Technology and Information Systems Journal International Journal of Teaching and Learning (INJOTEL) INTERNATIONAL JOURNAL OF SOCIETY REVIEWS (INJOSER) Journal of Blockchain, Nfts and Metaverse Technology
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 Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

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Analisis Pengaruh Faktor Penggunaan Baju Baru (Fast fashion) ke Pengguna Baju Bekas (Thrifting) Menggunakan Metode K-Means Clustering (Studi Kasus: Toko Thriftboys.id) Sampurno, Raffi Dima; Triayudi, Agung; Komala Sari, Ratih Titi
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6, No 1 (2022): January-March
Publisher : KITA Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i1.394

Abstract

The emergence of a habit in Indonesia and even the world, namely the use of used clothes (thrifting) became the idea for this research. This new habit is known to be able to reduce the production of textile waste in the world. The purpose of this study was to obtain analysis results that affect the use of new clothes (fast fashion) on the use of used clothes (thrifting). Using the K-means Clustering method and using several parameters, including age, quality, price, and sustainability or awareness. The method of collecting data is through a questionnaire and the research material is the buyers found in the online store Instagram (thriftboys.id). From the results of the clustering process that researchers have done using the K-means algorithm with manual calculations and rapidminer applications, the conclusions consist of; 1) In clusters 1 and 2 the age factor shifting from fast fashion to thhirft is 23 years, while in cluster 3 it is 25 years, 2) In the three clusters the average income that shifts from fast fashion to thhirf is group 3 or the range of 200000 -500000, 3) In the third cluster, people switch from fast fashion to thrift because of the good quality of goods, and 4) In clusters 2 and 3 more people are aware of textile waste for the world. Meanwhile, cluster 1 has the same number of conscious and unconscious waste.
Analisis Faktor yang mempengaruhi Pembelian Makanan secara Online pada Masa Pandemi Covid-19 menggunakan Metode K-Means Clustering (Studi Kasus: Online Shop Bellyboys.id) Fajrin, Dicke Rifki; Triayudi, Agung; Ningsih, Sari
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6, No 1 (2022): January-March
Publisher : KITA Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i1.390

Abstract

The presence of the Covid-19 pandemic outbreak makes consumer behavior in shopping began to change. Especially when the enactment of large-scale social restrictions (PSBB) regulations. Providing food service in this place cannot be expected to return. So, the divisions will not think of out of the house just eating in restaurants or eating places. One marketing strategy in the current era offers a message of delivery, this strategy can help remain to comply with regulations that apply during the Pandemic Covid-19. This study aims to obtain the results of the analysis that influences the level of public interest in the purchase of online-based foods, namely by (Food Delivery). This study uses the K-means method and uses the name, age, income, number of orders, order intensity, and satisfaction. This study uses several data collection techniques questionnaire. The subjects of this study are buyers who are members of the Food Delivery Instagram (Bellyboys.id) forum.
Implementasi Framework CodeIgniter dalam Perancangan Aplikasi E-Commerce Berbasis Website (Studi Kasus: Tiara Brand) Andarweni, Dhea; Triayudi, Agung; Iskandar, Agus
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6, No 2 (2022): April-June
Publisher : KITA Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i2.412

Abstract

Tiara Brand is a self-produced clothing business. The process of selling products at Tiara Brand is done by promoting their products through social media. This process is considered less effective, because customers have to order through another application, namely WhatsApp. Business owners also find it difficult to promote their products widely. Based on these problems, this study will discuss the design and creation of a website-based e-commerce application using the CodeIgniter framework, so that it is easier for customers to buy products from Tiara Brand, because it can be done on the same website. In addition, business owners can also more easily manage each transaction and can promote their products to customers without regional restrictions. the steps of this research are made in the form of a flowchart and go through stages consisting of; 1) Data collection, 2) Literature study, 3) Design, 4) Program code preparation, and 5) Application testing and using the String Matching Algorithm as an implementation of the application being built. The results of the research are the construction of a website that not only displays the products being sold, but can also be used for transactions and has the potential to develop Tiara Brand selling online.
Rancang Bangun Marketplace pada UMKM Terimbas Pandemi Covid-19 menggunakan Metodologi Pengembangan Waterfall dan Metode FIFO Suparman, Kodim; Triayudi, Agung; Andrianingsih, Andrianingsih
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6, No 1 (2022): January-March
Publisher : KITA Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i1.384

Abstract

The Covid-19 pandemic that has occurred since 2020 entered Indonesia and has almost occurred in all parts of the world has resulted in the world being stopped due to the Covid-19 Pandemic, all its effects have been felt by all circles, one of which is business actors. Indonesia is one of the countries affected by the Covid-19 Pandemic, one of which is the Indonesian economy which is in the MSME business sector, especially the Micro sector, such as the perfume business, clothes distro, shoe shop, medium-scale traders. small down another. They are most affected by this Pandemic because since the implementation of the large social scale (PSBB) which has automatically reduced their sales turnover. Because consumers no longer come to them. Therefore, the authors created a website-based system to assist MSMEs in making sales. Which is where the buyer no longer has to come to the seller. The author hopes this website can help return to their sales turnover.
Sistem Pakar Mendeteksi Penyakit Ikan Arwana Asia Menggunakan Metode Naïve Bayes Efendi, Alvian Nur; Triayudi, Agung; Winarsih, Winarsih
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6, No 2 (2022): April-June
Publisher : KITA Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i2.415

Abstract

Asian Arowana fish are freshwater fish that are spread across Southeast Asia. Many Indonesian people maintain Arowana fish because of its beauty and also has a high enough price. But in the process of cultivation, the Asian Arowana Fish can be attacked by more than one disease that can threaten the survival of the Arowana fish. With the rapid advancement of technology that is taking place and based on these problems, the author implements an Expert System to detect what diseases attack these fish with symptoms and data obtained from experts so that we know what steps must be taken for the prevention and sustainability of Arowana fish cultivation. The method used is the Naïve Bayes Method, which is a probability statistical method that can detect whether a fish is exposed to a disease with pre-existing web-based odds.
Analisis Sentimen Tweet KRI Nanggala 402 di Twitter menggunakan Metode Naïve Bayes Classifier Djamaludin, Muhammad Ariel; Triayudi, Agung; Mardiani, Eri
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6, No 2 (2022): April-June
Publisher : KITA Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i2.398

Abstract

Social media is one of the technological developments that has contributed greatly in making it easy for us to communicate and socialize, one of which is using Twitter social media. Twitter in this study is used as a data source to analyze tweets discussing KRI Nanggala 402. Analysis of KRI Nanggala 402 twitter sentiment is used to see the tendency of public responses to the sinking of the KRI Nanggala 402 submarine whether to give positive or negative opinions. This Sentiment analysis uses the Naïve Bayes Classifier method, which is a classification method. The first research stage is crawling, processing, classification, and evaluation. The classification stage is carried out after the processing phase, where the classification results tend to be positive or negative, using the Naïve Bayes Classifier method. The accuracy of the system in the Sentiment analysis of the KRI Nanggala 402 tweet is 73.00%.
Analisis Faktor Calon Nasabah PT. Bank Central Asia dalam Pembuatan Rekening Online menggunakan Metode K-Means Clustering Studi Kasus Wisma Asia BCA Wardhana, Muhammad Rizki; Triayudi, Agung; Hayati, Nur
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6, No 1 (2022): January-March
Publisher : KITA Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i1.391

Abstract

The purpose of this study is to obtain the results of the analysis of factors that make prospective customers who want to open an account at a branch switch to opening an online account. This study uses the K-Means method and uses the age factor, the time period in opening an account as a parameter. The data collection technique is in the form of data collection by questionnaire. The subject of this research is marketing who are members of PT Dika in collaboration with PT Bank Central Asia. Based on the research conducted by the author using the K-Means Clustering method and the rapidminer application, the researchers drew the following conclusions; 1) Of the three clusters, the age factor that has the most value is at age 21 in cluster 3 as many as 3 people. As for the age of 22 to 26 in the three clusters, the three clusters are not much different, 2) Of the three clusters, the most income factors are in group 3 as many as 4 people in cluster 2, namely earning around 1.500.000 – 3,000,000, 3) Of the three cluster, the distance factor from home to the nearest BCA Bank is at most at distance 1 as many as 3 people in cluster 3 and at distance 3 as many as 3 people in cluster 2, 4) Of the three clusters, the processing time factor is mostly in group 1 as much as 3 people in cluster 1, group 2 as many as 3 people in cluster 3 and group 3 as many as 3 people in cluster 3, and 5) From the three clusters, the factor of moving from opening an account at a branch to opening an online account (pemol) is because it's faster, in cluster 1 as many as 3 people, in cluster 2 as many as 2 people and in cluster 3 as many as 3 people.
Rancang Bangun Sistem Informasi Info Rapid Test Antigen di Jakarta Berbasis Website Junior, Reza Phahlevi; Triayudi, Agung; Ningsih, Sari
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6, No 1 (2022): January-March
Publisher : KITA Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i1.382

Abstract

The COVID-19 outbreak has reached the entire world, including Indonesia. With a pandemic like this, traveling out of town will experience difficulties because the government has issued a policy for the public to carry out a Rapid Test Antigen so that they can travel outside the city, and in the midst of a pandemic like this, all hospitals do not necessarily provide a Rapid Test Antigen. In this study, the authors created a website that contains information on hospitals that provide Rapid Test Antigen in Jakarta with the SDLC (System Development Life Cycle) method. The are used for this research is the entire DKI Jakarta area. The study uses data collection techniques by surveying directly to a hospital that provides the Rapid Test Antigen and secondary data obtained from the internet media. This application is expected to make it easier for residents of DKI Jakarta and those from outside the city to find out the location that provides the Rapid Antigen Test in Jakarta.
Rancang Bangun Aplikasi Toko Bunga Berbasis Web Menggunakan Waterfall dan Pieces Tyas Tono, Fikar Wahyu; Triayudi, Agung; Komala Sari, Ratih Titi
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6, No 2 (2022): April-June
Publisher : KITA Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i2.421

Abstract

Along with the current development of digitalization technology, almost all aspects have adapted to these changes, including the Indonesian people, who are mostly traders, also take part in this development. The website is one of the digitalization models that is often used in promoting products, both goods and Services, in this case the author takes one example, namely the sale of a flower shop "Bunds Flowers" where in this case the flowers that are sold are not like flowers in general, but there are flowers in the type of paper, plastic, to imported and local flowers, making this flower shop very worthy of having more promotional value, both in terms of conventional (face-to-face) and modern (online/digitalized) sales. This study uses two methods where the waterfall method is applied to the system development process and the PIECES method to analyze the user's response to the system that has been built. In this journal the author aims to build a system where sales and ornamental plant enthusiasts still use traditional media, with the websites help consumers find what they need in an easy way by opening a website. In the analysis process, the respondents have produced several assessments related to the flower shop application, including 1) performance, respondents rated 3.73 (Satisfied) 2) Information, respondents rated 4.33 (Satisfied), 3) Economic, respondents rated 4.33 (Satisfied) , 4) Control and Security, respondents rated 4.10 (Satisfied) and 5 Efficiency, respondents rated 3.73 (Satisfied) and Service, respondents rated 3.73 (satisfied).
Analisis Sentimen Pembelajaran Daring Menggunakan Metode Naïve Bayes, KNN, dan Decision Tree Wiratama Putra, Tobby; Triayudi, Agung; Andrianingsih, Andrianingsih
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6, No 1 (2022): January-March
Publisher : KITA Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i1.368

Abstract

Corona Virus Disease or better known as Corona Virus has attacked all corners of the world, including Indonesia. It has been almost +1 year that this virus is still attacking Indonesia and has an impact on various sectors, one of which is education. To contain the spread of the virus, the government has set an online education system. Many complaints were experienced by students, especially students who returned home, many of them experienced difficulties in accessing the internet, so many tasks to complete, and many more. The purpose of this study is to obtain the accuracy of the classification results based on the level of accuracy of the perceptions of students who use Twitter regarding the implementation of online lectures. In this research, the method used is Naive Bayes, KNN, and Decision Tree. The data used in this study is Twitter data by crawling data. From the results of this study, the Decision Tree method has a high value among other methods with an accuracy of 61.92%, precision of 73.63%, and recall of 11.42%.
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 Aditya lutfi Irawan Afid Rozaqi Afiyan Nur Chafidin Afrasim Yusta Afriany, Joli Agung Rahmad Fadjar 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 Alisya Mutia Mantika 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 Artamevia, Zahrach Arya Dimas Setiadi Arya Sastranegara Astri Pertiwi Atikah Suhaimah Baldhan Difa 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 Dicke Rifki Fajrin Dimas Aryanto Wijaya 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 Eshti Handayani Endah Tri Esti Handayani Endah Tri Esti Handayani Eri Mardiani Eri Mardiani Eri Mardiani Fachid, Syakirah Fadhil Muhammad Supriyanto Fadillah, Rizkah Faiq Husain Pratama Faizal Kurniawan Fajar Setiawan Hidayat Fajhar Muhammad 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 Hilman, Hilman Fikri Wijaya 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 Fadli 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 Nadia Putri Ariyanti Nanda Fathi Rizky Nesha Putri Pratama Nifea Kusumawardhani Nofrisa, Dini 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 Komala Sari Ratih Titi Komalasari Repi, Viktor Vekky Ronald Resha Anjariansyah Reynaldo, Yohanes Reza Phahlevi Junior Riad Sahara Rian Aditia Rian Rasyidhi Rian Tineges Rian, Rian Hidayat Ricky Andri Widayat Riefand Fadhlurrohman 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 Rizki Kurnia Rizky Setiawan Rodhi, Achmad Syaifudin Rosaima Situmorang Rosalina, Vidila Rudi Adityawan Sahputra, Muhammad Ilyas Sampurno, Raffi Dima Saragih, Nova Sari Ningsih Sawindri, Sawindri sawindri Seanand Sonia Shabrilianti Setiawan, Ikbal Danu Setiawati, Riska Setiono, Aji Shafira Shalehanny Shintia Mutiarani Sholihati, Ira Diana Simanjuntak, Handayani Simanungkalit, Racquel Terranova 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 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 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