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Dhian Satria Yudha Kartika

Universitas Pembangunan Nasional “Veteran” Jawa Timur

Author-ID : 826779

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Transportation Other

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Pengembangan Aplikasi Forum Berbasis Web - Tinjauan Pustaka Sistematis Imam Hanafi; Dyar Wahyuni , Eka; Satria Yudha Kartika, Dhian
Jurnal Informatika dan Sistem Informasi (JIFoSI) Vol. 2 No. 3 (2021): JIFoSI Volume 2, No 3: November 2021
Publisher : Fakultas Ilmu Komputer Universitas Pembangunan Nasional Veteran Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.2234/jifosi.v2i3.405

Aplikasi berbasis web dalam beberapa tahun terakhir telah mengalami perkembangan dengan pesat. Perkembangan teknologi tersebut menyebabkan terciptanya berbagai software yang dapat bermanfaat bagi para penggunanya, salah satunya yaitu forum. Dalam perkembangannya, forum seringkali digunakan penggunanya untuk bertanya jawab, sharing informasi dan hal bermanfaat lainnya. Tentunya dalam membangun suatu aplikasi forum, perlu diketahui bagaimana metode dalam membangun aplikasi tersebut. Hal ini dilakukan agar terhindar dari kendala yang mungkin dialami peneliti dalam mengembangkan aplikasi forum itu sendiri. Sehingga dilakukanlah tinjauan literatur yang membahas mengenai pengembangan dari aplikasi forum. Metode tinjauan literatur yang digunakan pada penelitian ini yaitu Systematic Literature Review (SLR). Melalui metode tersebut dilakukanlah pencarian literatur dengan kriteria hanya literatur yang terbit lima tahun kebelakang (2016-2021) dan sumber literatur hanya dari Mendeley Search saja dengan sumber literatur yaitu buku, jurnal ataupun prosiding. Pencarian literatur tersebut menghasilkan sebanyak 3 literatur yang relevan dengan pengembangan aplikasi forum berbasis web. Kemudian literatur tersebut dinilai kualitasnya untuk selanjutnya dilakukan klasifikasi dan peninjauan secara mendetail dari tiap-tiap literatur tersebut. Hasil akhir dari metode SLR ini yaitu kesimpulan bahwa forum dapat dikembangkan di sektor sosial/masyarakat maupun sektor pendidikan. Selain itu pengembangan SDLC maupun arsitektur/framework yang digunakan fleksibel tergantung pada kondisi pada tiap-tiap penelitian. Melalui penelitian SLR ini diharapkan dapat menjadi referensi bagi para peneliti dalam mengembangkan suatu aplikasi forum di masa yang akan datang.

Butterfly Image Classification Using Color Quantization Method on HSV Color Space and Local Binary Pattern Dhian Satria Yudha Kartika; Darlis Herumurti; Anny Yuniarti
IPTEK Journal of Proceedings Series No 1 (2018): 3rd International Seminar on Science and Technology (ISST) 2017
Publisher : Institut Teknologi Sepuluh Nopember

A lot of methods are used to develop on image research. Image detection to relay back new information, widely used in various research field, such as health, agriculture or other field research. Various methods are used and developed to get better results. A combination of several methods is performed for testing as part of the research contribution. In this study will perform the combination results of the process color feature extraction with texture features. In color feature extraction using HSV color space method that gets 72 feature extraction and on texture feature extraction using local binary pattern that gets 256 feature extraction. The process of merging the two extracted results gets 328 new feature extractions. The result of combining color feature extraction and texture feature extraction is further classified. Results from image classification of butterflies get an accuracy score of 72%. The results obtained will be tested performance. The results obtained from performance testing get precision value, recall and f-measure respectively 76%, 72% and 74%

PERANCANGAN PENGEMBANGAN PARIWISATA BERBASIS APLIKASI MOBILE MENGGUNAKAN PENDEKATAN PIECES DI DESA KAMPUNGANYAR BANYUWANGI Hendra Maulana; Dhian Satria Yudha Kartika
Jurnal Penelitian 297-305
Publisher : Politeknik Penerbangan Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46491/jp.v5i4.545

Perkembangan teknologi saat ini telah merambah ke segala aspek kehidupan sehingga saat ini seolah masyarakat telah dimanjakan oleh adanya alat-alat yang dapat memberikan kemudahan dalam aktifitas sehari-hari. Salah satunya adalah handphone, yang ditandai lahirnya teknologi smartphone. Lokasi desa yang strategis, di sekitar area Gunung Ijen membuat penduduk Desa Kampunganyar terus berinovasi menggali potensi Kampunganyar agar jadi tujuan wisata. Desa Kampunganyar mempunyai beberapa destinasi wisata yang sudah mulai dikenal wisatawan, selain itu juga terdapat UMKM yang sudah berkembang dan mulai dikenal masyarakat sekitar Banyuwangi. Penelitian ini merancang aplikasi mobile menggunakan pendekatan PIECES untuk pengembangan industri pariwisata di Desa Kampunganyar Banyuwangi. Rancangan aplikasi ini mengarah pada kemudahan antara pengunjung dan pemangku Desa (pengelola wisata, UMKM, warga Desa) untuk lebih bisa mengeksplor dan memberdayagunakan potensi Desa. Aplikasi ini sebagai media informasi dan edukasi, serta terdapat juga peta digital yang dapat memudahkan pengunjung mengeksplor objek wisata dan potensi desa Kampunganyar.

PENGKATEGORIAN BERITA ONLINE SECARA OTOMATIS MENGGUNAKAN METODE PLSA Nur Cahyo Wibowo; Dhian Satria Yudha Kartika; Septiyawan Rosetya Wardhana
KURVATEK Vol 3 No 1 (2018): April 2018
Publisher : Institut Teknologi Nasional Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33579/krvtk.v3i1.578

Pengguna internet di Indonesia berkembang pesat mampu mengubah gaya hidup masyarakat. Masyarakat memanfaatkan internet untuk mengakses informasi pada berita online. Berita online yang beragam jenis dan kategori membuat penyedia layanan berita online harus menyediakan informasi sesuai dengan permintaan pengguna. Pada paper ini menjelaskan proses pengkategorian berita online secara otomatis. Tujuan pengkategorian secara otomatis untuk mempermudah penyedia layanan dalam membuat sebuah berita. Proses pengkategorian berita secara otomatis menggunakan metode probabilistyc laten semantic analysis (PLSA). Dari 60 dokumen berita sebagai dataset yang diambil pada tiga berita online : kompas, sidomi, liputan6 menghasilkan 4 kelompok kategori (labels) berita. Sehingga dapat disimpulkan dengan metode PLSA mampu menghasilkan nilai presisi tertinggi sebesar 0,68 dengan iterasi sebanyak 300 kali

Performance Evaluation of Inductive Miner for Internship Program Workflow Afina Lina Nurlaili; Muhsin Muhsin; Dhian Satria Yudha Kartika
Jurnal Mantik Vol. 5 No. 3 (2021): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Modern organizations involve a high number of activities in their operations, which can be very complex. Process model is used to simplify these complex activities. Various algorithms for discovering process models have been developed in process mining. Process mining can extract important information from each activity in obtained cases. There are three process mining algorithms commonly used: Alpha, Heuristic Miner, and Inductive Miner. Each of the algorithms has its own characteristics. This paper compares these algorithms for the Internship Program. Based on the obtained evaluation, Alpha algorithm can't describe the process based on PKL event log well. It is because loop processes exist. It is also shown that the PKL process is not implementing the SOP well yet. On the other hand, Heuristic Miner neglects minor processes which do not frequently happen and does not describe it in the process model. Inductive miner combines the working principle of Alpha Miner and Heuristic Miner. Overall, the process model that is formed uses the Alpha algorithm which is closest to reality because it has a fitness of 0.96.

Implementation of System Dynamics to Increase Successful Utilization of E-Commerce with Marketing and Innovation Capability in MSMEs Anindo Saka Fitri; Seftin Fitri Ana Wati; Eristya Maya Safitri; Anita Wulansari; Dhian Satria Yudha Kartika
Internasional Journal of Data Science, Engineering, and Anaylitics Vol. 2 No. 1 (2022): International Journal of Data Science, Engineering, and Analytics Vol 2, No 1,
Publisher : International Journal of Data Science, Engineering, and Analytics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijdasea.v2i1.18

Micro, Small, and Medium Enterprises (MSMEs) play an important role in the economic development of many cities around the world. The role of MSMEs can encourage equitable economic development which is one of the main pillars of the ASEAN Economic Community (AEC). But unfortunately, there are still many people who do not know how to market a new product and have a large market potential by using internet technology. The ongoing COVID-19 pandemic is causing changes in individual habits which also has the opportunity to permanently influence market developments in the coming years. Many people choose to shop online using e-commerce. The role of e-commerce is very influential in improving the performance of MSMEs. There are several variables in the successful use of e-commerce, including internal and external inhibiting and supporting variables. This study applies the system dynamics method to link the variables of success in the use of e-commerce with variables related to the performance of MSMEs. The results of this study are the success of the use of e-commerce is interrelated with marketing and innovation capability which has a positive effect on the performance of MSMEs. This research is expected to increase the success of using e-commerce in MSMEs, especially in Indonesia.

Design and Build a Customer Segmentation Website at the Hijabiken Online Store Oktania Purwaningrum; Amalia Anjani Arifiyanti; Dhian Satria Yudha Kartika
Procedia of Engineering and Life Science Vol 2 No 2 (2022): Proceedings of the 4th Seminar Nasional Sains 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v2i2.1286

Data can be processed to produce useful information for an organization/company. Example of transaction data that is processed to segment customers. Customer segmentation needs to be done so that sellers can find out market conditions and can be taken into consideration in developing marketing strategies. Customer segmentation can also make sellers know their customers well. Of course, customer segmentation needs to be done at the Hijabiken Online Store, this store sells Muslim products such as hijabs. Seeing the current conditions in the store, data storage is still manual which can be prone to damage and loss. Therefore, in this study, we will build a website that can store and process transaction data. Website design using DFD, CDM, PDM, and mockups. Segmentation is carried out using data mining science in the clustering process. Clustering is done with the K-Means algorithm and LRFM model. The results of testing every function of the website can be run properly.

TOLERANSI ANTARUMAT AGAMA DI MASYARAKAT DESA JARAK Rhifky Arfiansyah; Evidelia Nabila Hamada Audyarizki; Anggi Anggraeni Nugraha; Tarissa Berliana Kartika; Gagas Taruna Pamungkas; Dhian Satria Yudha Kartika; Ir. Endang Pudji W
KARYA: Jurnal Pengabdian Kepada Masyarakat Vol 2 No 2 (2022): KARYA: Jurnal Pengabdian kepada Masyarakat
Publisher : FKIP Universitas Samawa

Show Abstract | Download Original | Original Source | Check in Google Scholar

Dalam kehidupan bermasyarakat, manusia sebagai mahluk sosial memiliki perbedaan yaitu dari kepribadiannya dan segi sosialnya. Maka dari itu dalam hidup bermasyarakat peting untuk berprilaku toleran dan menghargai pendapat. Masyarakat desa Jarak buka hanya dari umat agama islam tapi juga dari umat kristen dan Hindu, sehingga masyarakat sangat penting sekali untuk menjaga kerukunan. Masyarakat desa Jarak merupakan masyarakat yang majemuk karena agama yang dianut oleh masyarakat desa ini terdapat agama Islam, Hindu, dan Kristen. Karena itu dalam kehidupan sehari-hari masyarakat saling berinteraksi dengan pemeluk agama lainnya., sehingga perlu sikap menghargai dan menghormati untuk menciptakan suasana persaudaraan antar umat beragama. Tujuan kegiatan ini yaitu: (1) mengidentifikasi cara masyarakat menghargai eksistensi antar umat beragama di desa Jarak., (2) mengidentifikasi cara masyarakat menerima perbedaan antar umat beragama di desa Jarak, dan (3) mengidentifikasi cara masyarakat dalam mengakui hak antar umat beragama desa Jarak. Dari hasil kajian maka dapat disimpulkan sebagai berikut: (1) pada masyarakat desa Jarak mepunyai sikap saling menghargai suatu eksitensi antara pemeluk agama yaitu dengan melakukan silaturahmi dan juga melakukan interaksi dalam kehidupan bersosial, (2) sikap menerima suatu perbedaan kepada masyarakat desa Jarak dilakukan dengan melakukan sebuat musyawarah mufakat jika ditemukan sebuah perbedaan, dan (3) sikap mengakui perbedaan antar agama di desa Jarak dilakukan dengan sikap toleransi yaitu mengakui hak pemeluk agama untuk menjalankan ibadah dan juga masyarakat desa Jarak mengakui hak keikutsertaan masyarakat antar agama dalam kultur masyarakat.

ANALYSIS OF FACEBOOK USER PROFILING USING CLUSTERING IMPLEMENTATION Fauzan Atha; Noer Alam Yahya; Dhian Satria Yudha Kartika
IJCONSIST JOURNALS Vol 4 No 1 (2022): September
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v4i1.73

In this era that is increasingly developing, it is possible that nearly some human beings use social media as a means of verbal exchange between users. It is not only a means of communique but using social media is used to show their own daily activities or habits. Social media is a media that functions as a medium for socializing from individual to individual based online using digital technology. Where the communication process is done via the internet. Of the several media used for socializing, Facebook is a very popular application. In the use of Facebook which can be accessed from all devices with the internet being the main role, there is a like feature provided by Facebook as a feature for socializing, of course there will be a comparison between the preferred data from some of these devices and from these data we can wonder why people chose mobile over computer or pc to access facebook. To calculate and analyze the existing data, we compared the data by conducting research and looking for Data Mining with the Clustering method using the K-Means Clustering algorithm.

Sales Analysis at Supermart to Determine Marketing Strategy Using Apriori Algorithm Priyandini Pramithasari; Anindya Dewi Nariswari; Dhian Satria Yudha Kartika
Internasional Journal of Data Science, Engineering, and Anaylitics Vol. 2 No. 2 (2022): International Journal of Data Science, Engineering, and Analytics Vol 2, No 2,
Publisher : International Journal of Data Science, Engineering, and Analytics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijdasea.v2i2.37

Supermart as a place to shop must have many products that are sold to consumers. Supermart has sales transaction data that occurs every time and the longer the data produces a collection of transaction data. So, it is very unfortunate if it is not analyzed again. In this study, the data used is sales data at supermarts from 2015 to 2018 as many as 9994 supermart transaction data. This data analysis can use data mining methods with a priori algorithms so that they can find new patterns that can help and support companies in understanding business better, and can predict future results. Using Association Rules with Apriori Algorithm, Supermart Grocery can find out the products with the number of sales and the relationship between products with other products or called Itemset. With the support and confidence values, researchers can find out whether the association rules are important or not, and the higher the support and confidence values, the more accurate the association rules will be. The results of the study show that the association rules with the a priori algorithm can be applied by the company in supporting decision-making in the company so that it can determine the right marketing strategy. Thus, supermart companies can analyze consumer purchasing patterns in buying a product based on a combination of 2 items/categories, so that supermarts can make bundles of these items/categories.

Co-Authors Abbel Antya Wicaksana Abdul Rezha Efrat Najaf Achmad Syaifulloh Putra Adela Aurelia Kinaya Dewi Adelia Khoirunnisa Adelia Qouli Varadisa Affiva Lindi Damayanti Afifah Nur Azisah Afina Lina Nurlaili Agung Brastama Putra Agung Brastama Putra Agung Satria Bimantara Agus Bisana Putra Agus Tri Sapta Yudha Agussalim Ahsani, Muhammad Alif Alfan Sabilal Ainurrohmah, Syafika Aisha Nabila F. H Ajeng Rahayu Mutmainnah Al Rizky, Fariz Alfian Aji Ardiansyah Alfin Nur Faizah Alfin Tri Mulyani Alya Izzah Zalfa Rihadah Ramadhani Nirwana Putri Amalia Anjani Arifiyanti Aminullah, Reza Ana Wati, Seftin Fitri Anandi, Harits Hervandhito Putra Anastasya Putri Maharani Anggi Anggraeni Nugraha Anggoro, M. Novianto Anggreani, Nilam Kumallah Anindo Saka Fitri Anindya Dewi Nariswari Anisah Aprilia Garciah Anita Amalia Rahma Anita Wulansari Anita Wulansari Annisa Dita Putri Kartika Annisa Fahmi Lisnamurti Anny Yuniarti Ariel Sambali Arifian, Mochammad Thoriq Hasan Arochma, Novita Maulana Arya Bimantara, Muhammad Arya Gilang Wiryawan Ashaby Alamsyah Asif Faroqi Asmara Dita, Dara Julia Audino Hilmy Ashofi Ayu Sherlita Permata Sari, Bella Azarine, Fazara Anggie Azzahra, Farahdzilla Muthianisa Badriyyah, Shofiyyatul Bayu Daffario Ardana Benydiktus Pakpahan Beta Hanan Yuliansa Betrik Muliani Bintang Gymnastiar Briliana, Syabina Kheisa Bunga Annisa Cahya Maghfira Prasetya Cahyaning Rahmadani, Putri Nilam Cahyo Wibowo, Nur Chevaldi Gelstyn Amalo Christian Ananda Bestari Cindy Dyah Clarissa Belva Kusuma Dalilah Edenya Zata Yumni Darlis Herumurti Dennis Aprilianti Desi Puspitasari Diana Rimadhani, Tri Dita Atasa Diva Aisyah Maryam Diva Zahwa Djihani Fatimatus Zahroh Dwi Nugraha, Rafi Edi Sugiyanto Egga Naufal Daffa Tanadi Eliza Siti Syarifah Elvira Aprilia Primastika Endriana, Fathika Eristya Maya Safitri Eristya Maya Safitri Evidelia Nabila Hamada Audyarizki Fachrurrozy Nurqoulby Fahreo Iddo Putera Dewangga Faisal Muttaqin Fajar Cahya Putra Farah Piecesha, Regina Farhan Jelang Ramadhan Farhan Kusuma Waradana Fauzan Atha Fernaldy, Fabiyan Atha Fidda Rahmawati Fikriyatun Nabila Firdaus, Fakhrina Diah Padma Nur Firdaus, Randy Aulia Firdha Amalia Firdi Ihza Rochman Firlyandita, Marsyanda Firsttama, Risav Arrahman Fithriyani, Aufi Jazilah Fitri Erliya Wati Fitri Maharani Andamdewi Fitri, Anindo Saka Forentina Kerti Pratiwi Sujayanti Fotinus Wahyudi Josiriz Gagas Taruna Pamungkas Gita Wulandari Giyo Sekhan Abdillah Gracia Medyate Sinulingga Gultom, Aris Fernando Hadi, Tasya Diva Fortuna Hafsha Sakinah Halila, Azaria Ainun Halimatuz Zuhriyah, Iffah Nur Hallimah Rizqi Putti Hanatasya Aulia Risda Puspitasari Hanifa, Fatya Hastri Cantya Danahiswari Herian, Anisah Hikmah Saptya Ningrum Hilal Abdullah Hilal Abdullah Ilham Dio Bhakti Ilham Ismail Imam Hanafi Inayah Divia Ir. Endang Pudji W Isma Triana Izzat Rahman Kamila, Syafiatul Kamilia, Tarisa Karina Sanggraeini Khoirunisa Jannatuzzahra Kirana Azzahra Putri Layra Cholifah Lordly Resolute Lestari, Danik Dwi Linda Tri Andini M Aldan Adiar Firdaus M. Rizal Muhaimin Maheswari, Kalila Calya Maulana Kharyska Abadi, Muhammad Maulana, Hendra Maulidia, Ayu Maulina, Ika Maya Safitri, Eristya Mayoratri, Maria Helena Putri Muhammad Alief Hidayatulloh Muhammad Choirul Annas Muhammad Daffa Muhammad Hilman Zafiri Muhammad Rafi Muhsin Murod, Alfin Musdlolif Fadlun Huda Maramida Nabila, Achmad Wildan Nadilla Putri Pertiwi Nadiza Rahma Talitanahda Nadya Lenvylea Laras Nala Mutimmul Nanda Putri Widianti Nashrum Minallah Noer Alam Yahya Nur Cahyo Wibowo Nur Hayati, Nita Eka Nur Suranti Madu Sukmah Nurcholis, Mochammad Nurdin, Andi Nurlaili, Afina Lina Oktania Purwaningrum Oktavia Nur Qhoirunnisa Pandu Rizki Maulidiah Panggayuh, Danang Andrian Fajar Perdana, Firman Permatasari, Reisa Pramadhani, Dinar Pranindhita, Anggie Nur Prasetyo, Benediktus Edho Pratama, Adonnis Pratama, Virgiawan Yoga Prisa Marga Kusumantara Priyandini Pramithasari Purborini, Yohana Ajeng Purwitasari, Astri putra, brillyan Putri Intana Ramadhani Putri Lestari, Putri Putri Marisna Putri, Ayuni Salsabila Raffli Amirullah Rafly Sandi Putra RahmaPutri, Mariska Regina Rahmawati, Lailatul Fitri Dwi Raihan Romadhoni, Moh Ramadhan Eka Syahputra Ramadhan, Chalid Syamy Rasikhah, Keisha Andani Ratnaswari, Syahrani Renanda Auzan Firdaus Renanda Rahadian, Rizky Rengganis, Aidha Kiftia Rezza Hardanovita Rhifky Arfiansyah Rianto, Syahbrina Isnaeni Azizah Rima Dwi Fitrian Ripka Suliandari Ririn Oktavita Sari Riski, Agung Mustika Risnanda, Arsita Wahyu Rizka Hadiwiyanti Rizki Yuniar, Vera Rohman, Miftahur Romansyahdu, Arya Dewangga Rosa Ainun Rizkyah Rosalia, Chaterine Rosedefi Angelia Putri Rr. Shafira Indranovianti Ruldy Rizqi Suhendri Safira Aprilia Safitri, Eristya Maya Salsabila Shafiyah, Sarah Salsabilla, Kharisma Agustya Zahra Sarah Adora Febria Sa`adah, Layla Mazidatus Seftin Fitri Ana Wati Senarita Septia Rosmalia Septiyawan Rosetya Wardhana Shafarizqinas Gautama, Abdillah Shahna Naila Safira Shofiyyatul Badriyyah Siregar, Alifah Salsabillah Siska Amelia Sofi Suhaimah Sonya Azharani Nugrahani Sriyanti, Zilvi Azus Stefanus Kristiyanto Sugiarto S Sugito Sugito Suryo Widodo Syalia Masarrah Talitha Edina Sakhi Tarangga, Bagas Tarisa Kamilia Tarissa Berliana Kartika Tarrisya Durroh Fitrinda Tegar Satria Adi Teguh Yulianto, Teguh Tesalonika Devvany Nugroho Tiara Putri Marcela Tina Adelia Lestari Umam, Candra Khoirul Vanesa Wanda Anggela Vani Laila Vanni Alivyah Krisnandela Varadilla, Arina Vicky Al-Hafiz Vincentia Stephani Viona Eka Rahmawati Viona Nadestri Vira Adhelia Andjani Virda Kurnia Barbara Wafiq Ainnur Rozzan Wahyuni, Eka Dyar Wati, Seftin Fitri Ana Wibawa Syahalam, Aji Qolbu Wibowo, Nur Cahyo Widya Pratiwi Wilda Daffania Abidin Willy Arya Wicaksana Wulansari, Anita Yesica Arinda Damayanti Yisti Vita Via Yola Tarisa Br Tarigan Yovan Febriawan Nurpratama Yulia Putri Ramadhani Yusuf Al Ma'ruf, Achmad Zahra, Annisa Lusyani Zahra, Nabila Athifah Zalfaa’ Fairuuz Zhafran, Rafi Nuril Zulfa Fayza Budiono Zulfikar Achmad Nur Wachid

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