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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 Chemical Engineering, Chemistry & Bioengineering 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 Mechanical Engineering Public Health Social Sciences Transportation Other

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ASPECT-BASED SENTIMENT ANALYSIS PADA ULASAN APLIKASI ACCESS BY KAI MENGGUNAKAN METODE TF-IDF DAN ALGORITMA SUPPORT VECTOR MACHINE Nur Rachman Nidhi Suryono, Muhammad; Amalia Anjani Arifiyanti; Dhian Satria Yudha Kartika
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 10 No 2 (2025): OCTOBER
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/instek.v10i2.57155

Access by KAI merupakan aplikasi layanan transportasi digital dari PT Kereta Api Indonesia yang mempermudah pengguna dalam mengakses layanan perjalanan kereta api. Untuk meningkatkan kualitas layanan dan pengalaman pengguna, penelitian ini melakukan analisis sentimen terhadap ulasan pengguna aplikasi menggunakan algoritma Support Vector Machine (SVM). Tiga aspek utama yang dianalisis yaitu Financial Transactions, Technical Issues and Performance, serta User Experience and Interface. Penelitian menggunakan kombinasi metode sampling (SMOTE dan Non-SMOTE), kernel (Linear, RBF, Polynomial), dan pembagian data (80:20 dan 70:30) untuk menemukan model terbaik. Hasil terbaik untuk aspek Financial Transactions diperoleh dari model SMOTE dengan kernel RBF dan rasio 70:30 (akurasi 0.9270). Untuk Technical Issues and Performance, model terbaik adalah Non-SMOTE dengan kernel Linear dan rasio 70:30 (akurasi 0.8718). Sedangkan untuk User Experience and Interface, model Non-SMOTE dengan kernel Linear dan rasio 80:20 memberikan akurasi tertinggi sebesar 0.8825. Model terbaik ini diimplementasikan dalam aplikasi web berbasis Flask yang dapat memprediksi sentimen, mengekspor hasil dalam bentuk .csv, serta menampilkan visualisasi data. Hasil implementasi menunjukkan bahwa kombinasi model terpilih mampu memberikan pemetaan sentimen yang konsisten dan terstruktur terhadap ulasan pengguna, sehingga dapat digunakan sebagai dasar evaluasi berbasis data dalam pengembangan fitur aplikasi.

Pemberdayaan UMKM Lokal Melalui Integrasi Website Desa sebagai Media Pemasaran Digital di Desa Pentadu Barat: Empowering Local MSME through the Integration of Village Website as a Digital Marketing Platform in Pentadu Barat Village Kartika, Dhian Satria Yudha; Sukma, Dini Artika; Lasarudin, Alter; Luawo, Salma Rivani
PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Vol. 11 No. 1 (2026): PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/pengabdianmu.v11i1.10668

The development of digital technology has created new opportunities for Micro, Small, and Medium Enterprises (MSMEs) to expand their market reach. However, in Pentadu Barat Village, MSME product promotion had previously relied on conventional methods, limiting the potential for local economic growth. Through the Community Service Program (KKN), MSMEs were integrated into the official village website, which features village profiles, MSME catalogs, articles and galleries, testimonials, and contact services. This study aims to describe the integration process and assess the role of the village website as a digital promotional medium. The research employed a qualitative descriptive approach, involving observation, data collection on business identity, and interviews with MSME actors and village officials. The findings indicate that the village website serves as an effective promotional medium, as reflected in increased visibility of local products, more structured digital documentation, and positive community responses. Nevertheless, the main challenge lies in sustainability, particularly regarding data updates and content management. With consistent management, the village website can function not only as a digital showcase but also as an instrument of community empowerment and local economic strengthening in the digital era.

Penerapan Teknologi Tepat Guna Penyiraman Otomatis Menggunakan Capacitive Soil Moisture Sensor pada Taman Tanaman Obat Keluarga (TOGA) Desa Gedangan Abbel Antya Wicaksana; Alfin Tri Mulyani; Nur Suranti Madu Sukmah; Anita Amalia Rahma; Yola Tarisa Br Tarigan; Dhian Satria Yudha Kartika
JURNAL PENGABDIAN MASYARAKAT INDONESIA Vol. 2 No. 2 (2023): Juni : Jurnal Pengabdian Masyarakat Indonesia (JPMI)
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jpmi.v2i2.1953

Upaya meningkatkan kesehatan masyarakat di Desa Gedangan, Kabupaten Jombang dengan memanfaatkan tanaman tradisional yang berkhasiat sebagai obat. Tanaman obat keluarga merupakan tanaman obat pilihan yang ditanam di pekarangan atau di lingkungan rumah. Di Desa Gedangan tanaman TOGA di tanam di pekarangan Puskesmas Pembantu Desa Gedangan. Teknologi Tepat Guna (TTG) dalam pemanfaatan budidaya tanaman TOGA belum banyak diaplikasikan pada kehidupan masyarakat. Perkembangan zaman menuntut manusia menciptakan sebuah alat atau teknologi yang dapat membantu pekerjaan manusia, sehingga teknologi menjadi kebutuhan bagi manusia. Metode dalam penerapan Teknologi Tepat Guna dimulai dari pengumpulan data dan observasi. Hasil dari penelitian ini dapat membantu dalam perawatan taman TOGA dengan menggunakan alat penyiram otomatis berdasarkan alat kelembaban tanah.

Pemanfaatan Aplikasi Scratch untuk Meningkatkan Kreativitas dan Keterampilan Pemrograman Anak di Panti Asuhan Ulul Azmi Surabaya Khoirunisa Jannatuzzahra; Vanesa Wanda Anggela; Annisa Dita Putri Kartika; Dhian Satria Yudha Kartika
Jurnal Pengabdian Masyarakat Indonesia (JPMI) Vol. 1 No. 5 (2024): Juni
Publisher : Publikasi Inspirasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62017/jpmi.v1i5.1514

Pemanfaatan aplikasi Scratch dalam pendidikan telah terbukti efektif dalam meningkatkan kreativitas dan keterampilan pemrograman anak. Scratch memungkinkan anak-anak untuk belajar konsep dasar pemrograman melalui manipulasi blok kode yang mudah dipahami. Melalui pembuatan proyek seperti animasi, permainan, dan cerita interaktif, anak-anak dapat mengembangkan kemampuan berpikir logis, analitis, dan kreatifitas mereka. Penelitian ini dilakukan di Panti Asuhan Ulul Azmi, Surabaya, untuk mengevaluasi dampak penggunaan Scratch terhadap kreativitas dan keterampilan pemrograman anak-anak. Pelatihan menggunakan metode pengajaran berbasis proyek, seperti pembuatan permainan Flappy Bird yang berhasil meningkatkan pemahaman anak-anak terhadap konsep pemrograman dan aplikasi Scratch. Evaluasi menggunakan pretest dan posttest menunjukkan peningkatan yang signifikan dalam pemahaman teknis dan kreativitas anak-anak setelah pelatihan. Hasil penelitian menunjukkan bahwa penggunaan Scratch tidak hanya meningkatkan keterampilan pemrograman anak, tetapi juga memperkuat kepercayaan diri mereka dalam menggunakan teknologi dan berkolaborasi. Scratch dalam kurikulum pendidikan di panti asuhan atau institusi serupa dapat memberikan fondasi yang kuat bagi anak-anak untuk menghadapi tantangan di era digital. Penelitian ini menyarankan adanya keberlanjutan pelatihan dan akses yang lebih sering ke teknologi bagi anak-anak di panti asuhan. Dengan demikian, Scratch tidak hanya berfungsi sebagai alat pembelajaran yang efektif, tetapi juga sebagai sarana untuk mengembangkan keterampilan yang relevan dan meningkatkan potensi anak-anak yang membutuhkan di masyarakat.

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

Detection of ARP Poisoning on Wireless LAN Using Machine Learning: Random Forest and AdaBoost Ersamazaya, Rafi Dhafin; Arifiyanti, Amalia Anjani; Kartika, Dhian Satria Yudha
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3364

ARP poisoning is a prevalent security threat in Wireless Local Area Networks (WLANs), enabling attackers to manipulate ARP tables and perform man-in-the-middle attacks. This study develops a machine learning-based detection system to identify ARP poisoning incidents in real-time, using Random Forest, AdaBoost, and a hybrid Random Forest-AdaBoost ensemble model. Data was collected from a public Wi-Fi environment in Surabaya, consisting of 11,225 ARP traffic records, augmented with simulated ARP poisoning attacks. Data preprocessing included exploratory analysis, feature engineering, encoding, and dataset balancing to improve model performance. Experimental results demonstrate that the hybrid ensemble model achieved the highest accuracy (99.92% on validation and 99.94% on testing), but its inference time of 517.30 ms rendered it unsuitable for real-time deployment. In contrast, the AdaBoost model achieved similar accuracy with significantly faster inference latency (7.82–14.93 ms), making it the most efficient model for live monitoring. The optimized AdaBoost classifier was then deployed through a Telegram-based alert system integrated with Scapy for continuous packet inspection and immediate attack notifications. This study contributes to the advancement of real-time intrusion detection mechanisms for WLAN environments by demonstrating the effectiveness of ensemble learning in ARP poisoning detection. Furthermore, it emphasizes the importance of balancing detection accuracy with computational efficiency for practical deployment in dynamic network environments. The findings offer insights into developing scalable, low-latency security solutions and lay the groundwork for future research on adaptive, real-time detection frameworks.

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

Co-Authors Abbel Antya Wicaksana Abbel Antya Wicaksana Abdul Rezha Efrat Najaf Abdul Wahid 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 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 Ananda Devi Muri Utomo Anandi, Harits Hervandhito Putra Anastasya Putri Maharani Anggi Anggraeni Nugraha Anggoro, M. Novianto Anggreani, Nilam Kumallah Ani Dijah Rahajoe Ani Dijah Rahajoe Anindo Saka Fitri Anindya Dewi Nariswari Anisah Aprilia Garciah Anita Amalia Rahma 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 Asaf Khatami Fatwa Ashaby Alamsyah Asif Faroqi Asmara Dita, Dara Julia Audino Hilmy Ashofi Ayu Sherlita Permata Sari, Bella Azarine, Fazara Anggie Azzahra, Farahdzilla Muthianisa Badriyyah, Shofiyyatul Benydiktus Pakpahan Beta Hanan Yuliansa Betrik Muliani Bintang Gymnastiar Briliana, Syabina Kheisa 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 Eliza Siti Syarifah Elvira Aprilia Primastika Endriana, Fathika Eristya Maya Safitri Eristya Maya Safitri Ersamazaya, Rafi Dhafin 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, 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 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 Maya Safitri, Eristya Mayoratri, Maria Helena Putri Mega Fatimah Rosana 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 Noer Alam Yahya Nur Hayati, Nita Eka Nur Rachman Nidhi Suryono, Muhammad Nur Suranti Madu Sukmah Nur Suranti Madu Sukmah Nurcholis, Mochammad Nurdin, Andi 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, Chrystia Aji Putri Intana Ramadhani Putri Lestari, Putri Putri Marisna Putri, Ayuni Salsabila Raden Mohamad Herdian Bhakti Raffli Amirullah 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 Rianto, Syahbrina Isnaeni Azizah 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 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 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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