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Dhian Satria Yudha Kartika

Universitas Pembangunan Nasional “Veteran” Jawa Timur, Surabaya

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 Library & Information Science Public Health Social Sciences Transportation Other

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PENGOLAHAN CAMPURAN SERAI DAN PANDAN SEBAGAI LARUTAN SPRAY ANTI NYAMUK DI DESA MOJOWARNO Dhian Satria Yudha Kartika; Agus Bisana Putra; Sofi Suhaimah; Yulia Putri Ramadhani; Rosa Ainun Rizkyah
Jurnal Pengabdian Masyarakat Indonesia (JPMI) Vol. 1 No. 6 (2024): Agustus
Publisher : Publikasi Inspirasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62017/jpmi.v1i6.2060

Penelitian ini mengevaluasi pengembangan dan efektivitas spray anti-nyamuk berbahan alami dari batang serai (Cymbopogon citratus) dan daun pandan (Pandanus amaryllifolius) sebagai alternatif ramah lingkungan terhadap insektisida sintetis. Penggunaan bahan alami ini dipilih karena ketersediaannya yang mudah dan dampak minimal terhadap kesehatan manusia serta lingkungan. Studi ini dilakukan di Desa Mojowarno, Kabupaten Jombang, dengan melibatkan 25 warga dalam program pelatihan pembuatan dan penggunaan spray. Prosedur penelitian mencakup pengumpulan bahan, ekstraksi minyak esensial, dan uji efektivitas spray terhadap nyamuk. Hasil penelitian menunjukkan bahwa spray dari ekstrak serai dan pandan efektif mengusir nyamuk, dengan kandungan senyawa citronellal, geraniol, alkaloid, dan flavonoid sebagai bahan aktif utamanya. Spray ini juga diterima dengan baik oleh masyarakat karena keefektifannya, aroma yang menyenangkan, dan dampak minimal terhadap lingkungan. Program pelatihan berhasil meningkatkan keterampilan warga dalam pembuatan spray, membuka peluang ekonomi lokal, dan meningkatkan kualitas hidup masyarakat melalui pengurangan gangguan nyamuk dan risiko penyakit menular. Rekomendasi lebih lanjut mencakup pelatihan lanjutan, evaluasi berkala, dan penelitian tambahan untuk mengoptimalkan formulasi produk.

Inovasi Berkelanjutan : Implementasi Ecobrick Dalam Pembuatan Kursi Melalui Kegiatan KKN-T UPN "Veteran" Jawa Timur di Desa Mojowarno Eliza Siti Syarifah; Adela Aurelia Kinaya Dewi; Nadilla Putri Pertiwi; Rezza Hardanovita; Clarissa Belva Kusuma; Dhian Satria Yudha Kartika
Jurnal Pengabdian Masyarakat Indonesia (JPMI) Vol. 1 No. 6 (2024): Agustus
Publisher : Publikasi Inspirasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62017/jpmi.v1i6.2162

Permasalahan sampah plastik di Desa Mojowarno yang belum teratasi dengan baik dapat menyebabkan pencemaran lingkungan dan berdampak buruk pada kesehatan masyarakat. Salah satu langkah untuk mengurangi pencemaran serta mengelola sampah plastik adalah dengan menerapkan inovasi berupa ecobrick. Sasaran dalam pengabdian ini adalah memberikan pedoman komprehensif tentang pembuatan ecobrick di Desa Mojowarno untuk mengurangi limbah plastik dan menciptakan produk bernilai guna. Untuk mengatasi minimnya pemahaman masyarakat terkait pemanfaatan ecobrick, dilakukan kegiatan edukasi dan pelatihan pembuatan ecobrick. Kegiatan ini diikuti oleh 71 anggota masyarakat setempat, termasuk ibu-ibu PKK. Ecobrick yang telah dibuat digunakan untuk menghasilkan produk seperti kursi dan meja. Keuntungan dari penggunaan teknologi ecobrick adalah dapat menurunkan jumlah sampah plastik yang mencemari lingkungan dan dalam waktu bersamaan dapat menghasilkan barang-barang fungsional dan estetis dari material yang sebelumnya dianggap tidak berguna.

Implementasi Program KKN Mengajar Sebagai Upaya Peningkatan Minat Belajar Siswa di SDN 01 Mojowarno, Jombang Rafi Dwi Nugraha; Anastasya Putri Maharani; Senarita Septia Rosmalia; Stefanus Kristiyanto; Muhammad Rafi; Dhian Satria Yudha kartika
Jurnal Pengabdian Masyarakat Indonesia (JPMI) Vol. 1 No. 6 (2024): Agustus
Publisher : Publikasi Inspirasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62017/jpmi.v1i6.2198

The low achievement of SDGs in terms of quality education in rural areas remains a challenge, including in Mojowarno village. This activity aims to address this issue by enhancing academic learning quality, environmental awareness, and character education. The teaching and learning process was carried out at SDN 01 Mojowarno, involving 101 students (31 first-grade students, 28 second-grade students, and 42 third-grade students). Through the use of question-and-answer teaching methods and educational media that are auditory, visual, and audiovisual, the results show that this activity benefits the students by fostering curiosity, improving memory and concentration skills, increasing their awareness of environmental issues, and strengthening their moral character. Keywords: Character Education, Environmental Awareness, Participation, Teaching Activities

Traffic Sign Detection Using Region And Corner Feature Extraction Method Hendra Maulana; Dhian Satria Yudha Kartika; Agung Mustika Riski; Afina Lina Nurlaili
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; Dhian Satria Yudha Kartika; Agussalim; Seftin Fitri Ana Wati; Eristya Maya Safitri; Anindo Saka Fitri
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.

Optimalisasi Digital Marketing dan Pengembangan Bisnis dalam Mendukung Digitalisasi UMKM melalui Program Magang Anaanta Girindra; Kusuma Dewantoro; Naufal Fariel; Dhian Satria Yudha Kartika
Ad-Dariyah: Jurnal Dialektika, Sosial dan Budaya Vol 7 No 1 (2026): Dialektika, Sosial dan Budaya (Januari-Juni 2026)
Publisher : STAI DDI Kota Makassar

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

The development of information technology encourages Micro, Small, and Medium Enterprises (MSMEs) to adapt through digitalization in order to maintain competitiveness amid changing market dynamics and consumer behavior. This article aims to describe the implementation of an internship program at the Department of Communication, Informatics, and Statistics of Pasuruan City by utilizing Radio Gema Suropati (Ramapati) as a public information medium and a promotional tool for MSMEs. This study used a qualitative descriptive method through observation, interviews, documentation, literature review, and digital media analysis. The internship activities included MSME assistance, promotional needs analysis, digital content development, business identity strengthening, podcast utilization, and data-based content evaluation. The results show that Instagram, TikTok, YouTube, and podcasts help expand product information reach, increase brand awareness, and support MSME digital transformation. In addition, the application of data mining and machine learning to YouTube content from Pojok UMKM provides insights into content performance as a basis for developing more effective digital communication strategies. This internship program provides practical experience for students while contributing to strengthening MSME digital capacity through collaboration with government institutions.

ANALISIS KOMPARATIF MODEL KLASIFIKASI KEBUGARAN DAN EVALUASI REGRESI PREDIKSI KALORI DAN CHATBOT PADA EKOSISTEM FITTRACK AI Putra Hikmah Febryan; Eka Asa Setyaning Pratiwi; Asif Faroqi; Dhian Satria Yudha Kartika
Jurnal Riset Sistem Informasi Vol. 3 No. 3 (2026): Juli : Jurnal Riset Sistem Informasi
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/w3de9498

Interpreting physiological health data and self-reported nutrition records often poses a computational challenge for non-expert users. Therefore, this study aims to conduct a comparative analysis of fitness level classification modeling and predictive calorie regression evaluation. Both are integrated into a unified health tracking ecosystem called FitTrack AI. The performance of the Random Forest, XGBoost, and Support Vector Machine (SVM) algorithms was comprehensively compared for multi-class classification. Meanwhile, calorie burn estimates were evaluated using the Random Forest Regressor. As a holistic system, this ecosystem is also supported by body weight projection analysis (Linear Regression), dietary pattern mining (Apriori), and an automated logging interface based on a Large Language Model (Groq API). Test results show that XGBoost is the best classification model, with an accuracy rate of 76.37%, outperforming other algorithms. In the calorie prediction regression test, the model achieved highly accurate performance with a coefficient of determination (R²) of 0.996. In terms of ecosystem functionality, the interactive virtual assistant (FitBot) recorded a 90.0% success rate in executing tool calls for data entry and achieved a System Usability Scale (SUS) score of 90.1 (Very Good category). Overall, this multi-model analytical approach has proven to be robust and effective in translating the complexity of biological data into comprehensive and personalized digital health insights.

SISTEM INFORMASI PENCATATAN METER AIR BERBASIS WEB MENGGUNAKAN METODE WATERFALL Miftahur Rohman; Dhian Satria Yudha Kartika; Abdul Rezha Efrat Najaf
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 1 (2025): JATI Vol. 9 No. 1
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i1.12168

Penelitian yang telah dilakukan di Kelompok Pengelola Sistem Penyediaan Air Minum Tirta Sari Munggugebang bertujuan untuk membuat sistem informasi pencatatan meter air agar dapat mempermudah pihak pengurus dalam memberikan pelayanan kepada pelanggan. Permasalahan yang dihadapi adalah proses pendaftaran pelanggan baru yang mengharuskan calon pelanggan untuk menemui pihak pengurus, pencatatan tagihan yang masih menggunakan spreadsheet untuk petugas sedangkan untuk pelanggan masih manual, pembayaran tagihan hanya secara tunai, pemberitahuan informasi terbaru hanya melalui mulut ke mulut, serta pembuatan laporan tahunan yang masih dilakukan secara manual. Di dalam penelitian ini, metode untuk pengumpulan data menggunakan studi literatur dan wawancara. Metode Waterfall digunakan sebagai metode pengembangan yang memanfaatkan aplikasi Visual Studio Code untuk mempermudah dalam perancangan sistem. Metode ini menghasilkan sistem pencatatan meter air yang menjadikannya efisien dalam pelayanan kepada pelanggan, dapat diakses oleh semua pihak pengurus dan pelanggan, dan memudahkan pengurus dalam membuat laporan tahunan.

Co-Authors Abbel Antya Wicaksana Abbel Antya Wicaksana Abdul Rezha Efrat Najaf Abdul Rezha Efrat Najaf Abdul Wahid Achmad Syaifulloh Putra Adela Aurelia Kinaya Dewi Adelia Khoirunnisa Adelia Qouli Varadisa Affiva Lindi Damayanti Afifah Nur Azisah Agung Brastama Putra Agung Mustika Riski Agung Satria Bimantara Agus Bisana Putra Agus Tri Sapta Yudha Agussalim Agussalim, 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 Alfin Tri Mulyani Alya Izzah Zalfa Rihadah Ramadhani Nirwana Putri Amalia Anjani Arifiyanti Aminullah, Reza Ana Wati, Seftin Fitri Anaanta Girindra Ananda Devi Muri Utomo Anandi, Harits Hervandhito Putra Anastasya Putri Maharani Anggi Anggraeni Nugraha Anggoro, M. Novianto Anggreani, Nilam Kumallah Ani Dijah Rahajoe Anindo Saka Fitri Anindya Dewi Nariswari Anisah Aprilia Garciah Anita Amalia Rahma Anita Amalia Rahma Annisa Dita Putri Kartika Annisa Fahmi Lisnamurti Anny Yuniarti Ariel Sambali Arochma, Novita Maulana Arya Bimantara, Muhammad Arya Gilang Wiryawan Asaf Khatami Fatwa Ashaby Alamsyah Asif Faroqi Asmara Dita, Dara Julia Audino Hilmy Ashofi Ayu Sherlita Permata Sari, Bella Badriyyah, Shofiyyatul Benydiktus Pakpahan Beta Hanan Yuliansa Betrik Muliani Bintang Gymnastiar Bunga Annisa Cahya Lingga Wulandari Cahya Maghfira Prasetya Cahyaning Rahmadani, Putri Nilam Cahyo Wibowo, Nur Cendana Putri Aulia Chevaldi Gelstyn Amalo Christian Ananda Bestari Cindy Dyah Clarissa Belva Kusuma Dalilah Edenya Zata Yumni Darlis Herumurti Dennis Aprilianti Dewanti, Felicitas Deru Diana Rimadhani, Tri Dita Atasa Diva Aisyah Maryam Diva Zahwa Djihani Fatimatus Zahroh Edi Sugiyanto Egga Naufal Daffa Tanadi Eka Asa Setyaning Pratiwi Eliza Siti Syarifah Elvira Aprilia Primastika Endriana, Fathika Evidelia Nabila Hamada Audyarizki Fachrurrozy Nurqoulby Fahreo Iddo Putera Dewangga Faisal Muttaqin Fajar Cahya Putra Fakhrina Diah Padma Nur Firdaus Farah Piecesha, Regina Farahdzilla Muthianisa Azzahra Farhan Jelang Ramadhan Farhan Kusuma Waradana Fauzan Atha Fazara Anggie Azarine Fernaldy, Fabiyan Atha Fidda Rahmawati Fikriyatun Nabila Firdaus, Randy Aulia Firdha Amalia Firdi Ihza Rochman Firlyandita, Marsyanda Firsttama, Risav Arrahman Fithriyani, Aufi Jazilah Fitri Erliya Wati Fitri, Anindo Saka Forentina Kerti Pratiwi Sujayanti Fotinus Wahyudi Josiriz Gagas Taruna Pamungkas Gita Wulandari Giyo Sekhan Abdillah Gracia Medyate Sinulingga Gultom, Aris Fernando Gusti Eka Yuliastuti Hadi, Tasya Diva Fortuna Hafsha Sakinah Halila, Azaria Ainun Halimatuz Zuhriyah, Iffah Nur Hallimah Rizqi Putti Hanatasya Aulia Risda Puspitasari Hanifa, Fatya Hardiva Aura Jingganingsandya 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 Izra Noor Zahara Aliya Izzat Rahman Kamila, Syafiatul Kamilia, Tarisa Karina Sanggraeini Khansa Xena Nirwasita Khoirunisa Jannatuzzahra Kirana Azzahra Putri Kusuma Dewantoro Lasarudin, Alter Layra Cholifah Lordly Resolute Lestari, Danik Dwi Linda Tri Andini Linda Wahyuningtiyas Luawo, Salma Rivani M Aldan Adiar Firdaus M. Rizal Muhaimin Maheswari, Kalila Calya Mariska Regina RahmaPutri Maulana Kharyska Abadi, Muhammad Maulana, Hendra Maulidia, Ayu Maulina, Ika Mayoratri, Maria Helena Putri Mega Fatimah Rosana Miftahur Rohman Mochammad Thoriq Hasan Arifian Moh. Azzam Priyanto Muhamad Raafi Al Hadi Mubarrok Muhammad Alief Hidayatulloh 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 Naufal Fariel Noer Alam Yahya Nur Hayati, Nita Eka Nur Rachman Nidhi Suryono, Muhammad Nur Suranti Madu Sukmah 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 Pieter Adam Telaumbanua Pramadhani, Dinar Pranindhita, Anggie Nur Prasetyo, Benediktus Edho Pratama, Adonnis Pratama, Virgiawan Yoga Prisa Marga Kusumantara Priyandini Pramithasari Purborini, Yohana Ajeng Purwitasari, Astri Putra Hikmah Febryan Putra, Chrystia Aji Putri Intana Ramadhani Putri Lestari, Putri Putri Marisna Putri, Ayuni Salsabila Raffli Amirullah Rafi Dhafin Ersamazaya Rafi Dwi Nugraha Rafly Sandi Putra RahmaPutri, Mariska Regina Rahmawati, Lailatul Fitri Dwi Raihan Romadhoni, Moh Ramadhan Eka Syahputra Ramadhan, Chalid Syamy Rasikhah, Keisha Andani Ratna Yulistiani Ratnaswari, Syahrani Renanda Auzan Firdaus Renanda Rahadian, Rizky Rengganis, Aidha Kiftia Rezza Hardanovita Rhifky Arfiansyah Rima Dwi Fitrian Ripka Suliandari Ririn Oktavita Sari Risnanda, Arsita Wahyu Rizka Hadiwiyanti Rizki Yuniar, Vera Rizki, Agung Mustika Romansyahdu, Arya Dewangga Rosa Ainun Rizkyah Rosalia, Chaterine Rosedefi Angelia Putri Rr. Shafira Indranovianti Ruldy Rizqi Suhendri Sabrina Berliana Putri Safina Najah Safira Aprilia Safitri, Eristya Maya Salma Salsabila Sirsya 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 Sofi Suhaimah Sriyanti, Zilvi Azus Stefanus Kristiyanto Sugiarto S Sugiarto, Sugiarto Sugito Sugito Sukma, Dini Artika Suryo Widodo Syabina Kheisa Briliana Syahbrina Isnaeni Azizah Rianto 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 Ulfa Nur Ulfa Mauludina 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 Wibowo, Nur Cahyo Widya Pratiwi Wilda Daffania Abidin Willy Arya Wicaksana Wulansari, Anita Yanuar Hakam Rosyadi A Yesica Arinda Damayanti Yisti Vita Via Yola Tarisa Br Tarigan Yola Tarisa Br Tarigan Yovan Febriawan Nurpratama 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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