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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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REVITALISASI KOLAM RENANG KUCUR AREN GUNA MENINGKATKAN DAYA TARIK WISATA DI DESA WONOKERTO, WONOSALAM, JOMBANG Yudha Kartika, Dhian Satria; Puspitasari, Desi; Asmara Dita, Dara Julia; Maulina, Ika; Pramadhani, Dinar; Rasikhah, Keisha Andani
JICS : Journal Of International Community Service Vol 2 No 01 (2023): JICS : Journal Of International Community Service
Publisher : Pusat Studi Ekonomi, Publikasi Ilmiah dan Pengembangan SDM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62668/jics.v2i01.698

Penelitian ini bertujuan untuk merevitalisasi Wisata Alam Kolam Renang Kucur Aren sebagai upaya dalam mengembangkan daya tarik wisata di Desa Wonokerto Kecamatan Wonosalam Kabupaten Jombang. Dalam pengembangan pariwisata di Indonesia, tentunya terdapat dampak positif terhadap lingkungan sekitar wisata yang dikembangkan. Keberadaan Sektor wisata tentu memiliki peranan yang signifikan dalam meningkatkan pendapatan daerah, serta meningkatkan kesejahteraan masyarakat. hal ini mengakibatkan pengembangan pariwisata menjadi penting dalam menggerakkan perekonomian daerah serta dapat menjadi wadah terciptanya lapangan pekerjaan. Wisata Alam Kucur Aren merupakan sebuah wisata yang berlokasikan di Desa Wonokerto, Kecamatan Wonosalam, Kabupaten Jombang. akan tetapi Wisata Kolam Renang ini sempat sempat mengalami krisis saat munculnya pandemi Covid-19, akibat rendahnya wisatawan mengakibatkan wisata ini terbengkalai. solusi yang ditawarkan yakni melakukan revitalisasi dan upaya pembabatan tanaman liar di area kolam renang, serta penambahan fasilitas pendukung dan penunjang. Metode yang digunakan dalam penelitian ini adalah Community Based Participatory Research (CBPR) yang melibatkan masyarakat sebagai mitra dan menekankan nilai-nilai transformasi sosial, kolaborasi, dan pemberdayaan masyarakat.

Classification of color features in butterflies using the Support Vector Machine (SVM) Dhian Satria Yudha Kartika; Hendra Maulana
IJCONSIST JOURNALS Vol 2 No 02 (2021): March
Publisher : International Journal of Computer, Network Security and Information System

Research in digital images is expanding widely and includes several sectors. One sector currently being carried out research is in insects; specifically, butterflies are used as a dataset. A total of 890 types of butterflies divided into ten classes were used as a dataset and classified based on color. Ten types of butterflies include Danaus plexippus, Heliconius charitonius, Heliconius erato, Junonia coenia, Lycaena phlaeas, Nymphalis antiopa, Papilio cresphontes, Pieris rapae, Vanessa atalanta, Vanessa cardui. The process of extracting color features on butterfly wings uses the RGB method to become HSV color space with color quantization (CQ). The purpose of adding CQ is that the computation process is carried out faster without reducing the image's information. In the color feature extraction process, the image is converted into 3-pixel sizes and normalized. The process of normalizing the dataset has the aim that the value ranges in the dataset have the same value. The 890 butterfly dataset was classified using the Support Vector Machine (SVM) method. Based on this research process, the accuracy of the 256x160 pixel size is 72%, the 420x315 pixel is 75%, and the 768x576 pixel is 75%. The test results on a system with a 768x576 pixel get the highest results with a precision value of 74.6%, a recall of 72%, and an f-measure of 73.2% Keywords—image processing; classification; butterflies; color features; features extraction

Traffic Sign Detection Using Region And Corner Feature Extraction Method Hendra Maulana; Yudha Kartika, Dhian Satria; Riski, Agung Mustika; Nurlaili, Afina Lina
IJCONSIST JOURNALS Vol 3 No 1 (2021): September
Publisher : International Journal of Computer, Network Security and Information System

Traffic signs are an important feature in providing safety information for drivers about road conditions. Recognition of traffic signs can reduce the burden on drivers remembering signs and improve safety. One solution that can reduce these violations is by building a system that can recognize traffic signs as reminders to motorists. The process applied to traffic sign detection is image processing. Image processing is an image processing and analysis process that involves a lot of visual perception. Traffic signs can be detected and recognized visually by using a camera as a medium for retrieving information from a traffic sign. The layout of different traffic signs can affect the identification process. Several studies related to the detection and recognition of traffic signs have been carried out before, one of the problems that arises is the difficulty in knowing the kinds of traffic signs. This study proposes a combination of region and corner point feature extraction methods. Based on the test results obtained an accuracy value of 76.2%, a precision of 67.3 and a recall value of 78.6.

Digital Image Segmentation Resulting from X-Rays of Covid Patients using K-Means and Extraction Features Method Dhian Satria Yudha Kartika; Anita Wulansari; Hendra Maulana; Eristya Maya Safitri; Faisal Muttaqin
IJCONSIST JOURNALS Vol 3 No 1 (2021): September
Publisher : International Journal of Computer, Network Security and Information System

The COVID-19 pandemic has significant impact on people's lives such as economic, social, psychological and health conditions. The health sector, which is spearheading the handling of the outbreak, has conducted a lot of research and trials related to COVID-19. Coughing is a common symptoms among humans affected by COVID-19 in earlier stage. The first step when a patient shows symptoms of COVID-19 was to conduct a chest x-ray imaging. The chest x-rayss can be used as a digital image dataset for analysing the spread of the virus that enters the lungs or respiratory tract. In this study, 864 x-rays were used as datasets. The images were still raw, taken directly from Covid-19 patients, so there were still a lot of noise. The process to remove unnecessary images would be carried out in the pre-processing stage. The images used as datasets were not mixed with the background which can reduce the value at the next stage. All datasets were made to have a uniform size and pixels to obtain a standard quality and size in order to support the next stage, namely segmentation. The segmentation stage of the x-ray datasets of Covid-19 patients was carried out using the k-means method and feature extraction. The Confusion Matrix method used as testing process. The accuracy value was 78.5%. The results of this testing process were 78.5% of precision value, 78% of recall and 79% for f-measure

E-commerce Website Development Using Scrum Methods on Small Business Anita Wulansari; Kartika, Dhian Satria Yudha; Agussalim; Wati, Seftin Fitri Ana; Safitri, Eristya Maya; Fitri, Anindo Saka
IJCONSIST JOURNALS Vol 3 No 2 (2022): March
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v3i2.69

Websites are viewed primarily as a platform from which SMEs can portray a sophisticated image and advertise/market their products. One of the main factor affect the adoption of e-commerce by SMEs is the enviroment influence. On small business, the process of recording orders and sales transactions was done manually. These lead to customers complaints because they have to wait for a long time to get the product. In addition, the owners of small business find it difficult to know the popular products among customers. Moreover, the companys are eager to reach out to potential customers. Therefore, an e-commerce website is required not only as a solution to all these problems but also as a bridge between the business and their customers. The website was developed using the Scrum method. The application development process required three sprints to complete the seventeen product backlogs. The system testing proved the system is running according to its function and is accepted by the user.

APPLICATION CLUSTER ANALYSIS ON THE GOOGLE PLAY STORE USING THE K-MEANS METHOD Hastri Cantya Danahiswari; Yovan Febriawan Nurpratama; 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.v4i1.74

Implementation of data mining can be used to identify information that will be useful for several parties. There are various methods in data mining, one of the methods used in clusters is the K-Means algorithm. These clusters can be used for android developers in identifying what applications need to be improved and developed to make it better for android users. The results showed that there were two clusters that had different averages. The first cluster is defined as an application that is less attractive to users due to several factors, while for the second cluster it is defined as an application that the user is interested in, caused by the application offering the features that the user needs, is informative, does not require costs and can function properly.

Prediction of Birth Rates Using the Naive Bayes Algorithm in the North Sumatra Region Yudha Kartika, Dhian Satria; putra, brillyan; Wibawa Syahalam, Aji Qolbu
IJCONSIST JOURNALS Vol 5 No 1 (2023): 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.v5i1.109

The birth rate constitutes a significant metric within the field of demographics. It serves as a crucial element influencing the strategic planning and development of a region, particularly in provinces characterized by notably large populations, such as North Sumatra. The process of forecasting an optimal birth rate necessitates the involvement of multiple agencies and services to effectively devise policies pertaining to health, education, and enhanced infrastructure for the future. This study employs modeling techniques utilizing the Naive Bayes algorithm. This particular algorithm represents a probabilistic classification method within the realm of data mining, aimed at predicting birth rates across all districts and municipalities in North Sumatra, leveraging demographic and socio-economic datasets commencing from the year 2022. The dataset encompasses variables such as population statistics, demographics of women of reproductive age, levels of educational attainment, accessibility to health services, and incidences of poverty, all of which were sourced from the Central Statistics Agency (BPS) over a five-year timeframe. The research methodology is executed through several phases, including data preprocessing, feature selection, partitioning of training and test datasets, and a validation testing process to affirm the reliability of the proposed model. The dataset is partitioned into training and test components utilizing a distribution ratio of 70:30. The outcomes of the proposed model's testing are computed, employing a confusion matrix to derive metrics such as accuracy, precision, recall, and F1 scores. The results yield an accuracy value of 85%, a precision of 87%, and an F1 score of 86%. These findings indicate a favorable outcome in regional mapping and reflect an appropriate birth rate. Subsequently, the results are visualized within a geographic information system (GIS) to elucidate the spatial patterns of the predicted birth rate, thereby facilitating local government interventions in specific areas.

PERANCANGAN DAN IMPLEMENTASI SISTEM INVENTORY MANAGEMENT GUDANG BERBASIS WEBSITE MENGGUNAKAN FIRESTORE DATABASE Raihan Romadhoni, Moh; Cahyo Wibowo, Nur; Satria Yudha Kartika, Dhian
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 3 (2025): JATI Vol. 9 No. 3
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i3.14258

Sektor manufaktur, yang merupakan pilar utama pembangunan ekonomi, kini mengalami perubahan besar berkat inovasi digital terkini yang dikenal sebagai "Industri 4.0." Transformasi ini telah mengubah secara signifikan cara operasional bisnis dijalankan. CV. Cahaya Mulya Abadi merupakan perusahaan manufaktur yang mengalami permasalahan dalam pengelolaan stok barang yang masih dilakukan secara manual, sehingga sering terjadi keterlambatan pencatatan dan ketidaksesuaian data stok. Penelitian ini bertujuan untuk merancang dan membangun sistem informasi manajemen inventory berbasis website guna memudahkan pengelolaan stok barang. Metode pengembangan sistem yang digunakan adalah model V-Model dengan tahapan analisis kebutuhan, perancangan sistem, implementasi, dan pengujian. Sistem dikembangkan menggunakan framework Laravel dengan database Firestore, dan diuji melalui unit testing, integration testing, system testing, serta acceptance testing. Hasil pengujian menunjukkan seluruh fungsionalitas sistem berjalan dengan baik (pass), serta mampu mendukung pengelolaan stok secara online melalui berbagai perangkat. Dengan diterapkannya sistem ini, diharapkan proses manajemen inventory di CV. Cahaya Mulya Abadi menjadi lebih cepat, akurat, dan efisien

KLASTERISASI KERAWANAN GEMPA BUMI DI INDONESIA MENGGUNAKAN ALGORITMA INVASIVE WEED OPTIMIZATION Maulana Kharyska Abadi, Muhammad; Anjani Arifiyanti, Amalia; Satria Yudha Kartika, Dhian
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 4 (2025): JATI Vol. 9 No. 4
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i4.14460

Indonesia merupakan wilayah dengan risiko gempa bumi tinggi karena terletak di pertemuan tiga lempeng tektonik utama. Meski berbagai upaya mitigasi telah dilakukan, langkah penting seperti pemetaan wilayah rawan gempa bumi di Indonesia belum diterapkan secara optimal. Hal ini menyebabkan upaya mitigasi masih kurang terarah. Penelitian ini bertujuan untuk klasterisasi atau mengelompokkan wilayah rawan gempa di Indonesia menggunakan algoritma Invasive Weed Optimization yang unggul dalam eksplorasi global. Tahapan penelitian meliputi pengumpulan data, preprocessing data, pembuatan model, evaluasi model, deployment, dan pengujian sistem. Data gempa diperoleh dari BMKG periode Januari 2014 hingga November 2024 sebanyak 84.733 kejadian dan setelah preprocessing menjadi 81.454 data dengan atribut latitude, longitude, depth, dan magnitude. Penentuan jumlah klaster optimal dilakukan dengan metode Elbow dan Silhouette Score yang menunjukkan empat klaster dengan nilai Silhouette Score 0.4910. Hasil klasterisasi IWO menghasilkan empat klaster yaitu Kurang Rawan, Cukup Rawan, Rawan, dan Sangat Rawan. Evaluasi menunjukkan IWO lebih unggul dibanding K-Means dan DBSCAN dengan nilai SSE 510.513, DBI 0.736, dan Silhouette Score 0.4927. Hasil klaster divisualisasikan dalam aplikasi berbasis website untuk membantu dan mendukung mitigasi bencana gempa bumi. Pengujian sistem menggunakan blackbox testing menunjukkan semua fitur berjalan sesuai ekspektasi.

Peran Festival Wisata Kuliner Sebagai Bentuk Pengembangan Destinasi Wisata Desa Kedungpari Agung Satria Bimantara; Dhian Satria Yudha Kartika; Farhan Kusuma Waradana; Fikriyatun Nabila; Hikmah Saptya Ningrum; Muhammad Alief Hidayatulloh; Shahna Naila Safira
SAFARI :Jurnal Pengabdian Masyarakat Indonesia Vol. 3 No. 3 (2023): Juli : Jurnal Pengabdian Masyarakat Indonesia
Publisher : BADAN PENERBIT STIEPARI PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/safari.v3i3.668

This study discusses the role of culinary tourism festivals in developing village tourist destinations, with a focus on Kedungpari village. The main objective of this study is to identify the contribution of culinary tourism festivals in increasing village tourism, strengthening the local economy, and promoting culture and culinary traditions in Kedungpari village. The method used in this study is direct observation by providing information directly as well as (online) and indirectly (offline) via posters. This study uses a qualitative method with a descriptive research type to explain how the Culinary Tourism Festival is held into three stages, namely preparation, implementation, and activity reporting. The results of the study show that culinary tourism festivals have a significant role in the development of tourist destinations in Kedungpari Village. This festival contributes to the promotion of village tourist destinations, increasing tourist visits, empowering the local economy, and preserving cultural and culinary traditions. This research can be a basis for policy makers and related parties in strengthening and developing culinary tourism festivals as a strategy for developing sustainable village tourism destinations

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 Rachman Nidhi Suryono, Muhammad 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 Raden Mohamad Herdian Bhakti 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 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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