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Maulana, Hendra

UPN Veteran Jawa Timur

Author-ID : 3618439

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Optimasi Pengenalan Posisi Plat Nomor Kendaraan Menggunakan Kombinasi Metode MSER Dan Harris Corner Bagus Sutikno Putra; Eva Yulia Puspaningrum; Hendra Maulana
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 2 No. 2 (2024): Maret : Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v2i2.165

The research proposes an innovative approach to identifying and positioning vehicle number plates using a combination of Maximally Stable Extremal Regions (MSER) and Harris Corner methods. The MSER method is used to detect stable regions on the vehicle number plate image. MSER has the ability to recognize areas that have significant contrast intensity, which often represents the characteristic of the number plate. After identifying the potential regions, the Harris Corner method was applied to determine the characteristic angles. The cross points on the number plate. The combination of these two methods allows for more accurate and reliable identification of the position of the number plate. In this study the author performs optimization by changing the preprocessing part and the part of the MSER method. In the preprosessing the author changes the morphological part of a filter, in the section of the method MSER adds input arguments such as ThresholdDelta, RegionAreaRange, and MaxAreaVariation. The results of this study are 99.27% accuracy, 82.73% precision and 83.14% recall. Previous studies were 98.85%, 67.61% and 79.66% recalls. Based on the results of these values, the study has successfully optimized previous studies.

Inovasi Nugget Jagung dengan Memanfaatkan Hasil Panen Tanaman Jagung di Desa Balongwono oleh Mahasiswa KKNT Bela Negara UPN “Veteran” Jawa Timur Vynka Zahira Sausan; Intan Mitayani; Safira Salma Azzahra; Hendra Maulana
Masyarakat Berkarya : Jurnal Pengabdian dan Perubahan Sosial Vol. 1 No. 3 (2024): Agustus : Masyarakat Berkarya : Jurnal Pengabdian dan Perubahan Sosial
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/karya.v1i3.363

Balongwono Village has the potential of natural resources that are very dominant, namely corn agricultural products and some of the Balongwono Village people make a living as corn farmers. The purpose of the socialization carried out by group 1 KKNT Bela Negara UPN "Veteran" East Java is to increase public knowledge about the use of corn and utilize corn to be more effective, innovative, and efficient which can be traded and can improve the economy of housewives in Balongwono Village. It is hoped that with this socialization activity, this "Corn Chick" corn nugget can become a superior innovation product that has high selling value. The method used is The method of implementation in the innovation activity of utilizing natural resources in the form of corn is carried out by learning by doing, the first stage is sharing recipes, the second is sharing knowledge by explaining the ingredients used and the process of making products, the tools needed, how to store and serve, finally student group 1 demonstrates how to process the product. The results of this service are that students have succeeded in socializing the use of corn and participants can absorb the knowledge that has been given.

PELATIHAN MANAJEMEN RANTAI PASOK PUPUK ORGANIK BAGI KELOMPOK TANI DEWI SRI DESA JAJAR GUMREGAH Wahyu Dwi lestari; Hendra Maulana; Praja Firdaus Nuryananda; Mufida Diah Lestari
Jurnal Abdi Insani Vol 11 No 3 (2024): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v11i3.1782

Good organic fertilizer supply chain management is essential to support the sustainability of agriculture in Indonesia, especially in rural areas. The Dewi Sri farmer group in Jajar Gumregah Village faces challenges in the distribution and stock management of organic fertilizer, which often impacts the productivity and quality of agricultural products. Improved knowledge and skills in supply chain management need to be trained, so that the distribution of organic fertilizer becomes more efficient, timely, and quality. The Organic Fertilizer Supply Chain Management Training for Dewi Sri Farmer Group in Jajar Gumregah Village aims to increase the capacity and efficiency of farmer groups in managing organic fertilizer production and distribution. Service activities involve several stages, starting from needs identification, program planning, training implementation, to evaluation and mentoring. Participants are given modules or practical guides as well as case studies to understand effective and efficient management of organic fertilizer distribution according to the needs of farmer groups. The results of the activities show that the implementation of effective supply chain management can increase the quality and quantity of organic fertilizer production, reduce operational costs, and improve the distribution system. Farmer group members gain new knowledge and skills in managing the supply chain more efficiently, which in turn supports increased agricultural productivity and economic welfare of the farming community. This service also contributes to the achievement of the Sustainable Development Goals (SDGs), particularly in ending hunger (SDG 2), promoting decent work and economic growth (SDG 8), and ensuring sustainable consumption and production patterns (SDG 12). This service underscores the importance of continuous training and technology application in agricultural supply chain management.

KLASIFIKASI PNEUMONIA PADA CITRA X-RAY PARU-PARU MENGGUNAKAN ALGORITMA NAIVE BAYES Fery Almas Ariansyah; Kartini Kartini; Hendra Maulana
JUTIM (Jurnal Teknik Informatika Musirawas) Vol 9 No 1 (2024): JUTIM (Jurnal Teknik Informatika Musirawas) JUNI
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jutim.v9i1.2243

Penelitian ini menguji efektivitas metode ekstraksi ciri Local Binary Model (LBP) – Gray Level Co-occurrence Matrix (GLCM) dan algoritma klasifikasi Naive Bayes dalam mengenali citra X-ray paru-paru yang menunjukkan adanya pneumonia. Tantangan utamanya adalah meningkatkan akurasi diagnosis penyakit melalui analisis citra X-ray. Tujuan dari penelitian ini adalah untuk menerapkan pendekatan yang efektif untuk mengklasifikasikan citra X-ray paru-paru ke dalam tipe pneumonia dan normal menggunakan ekstraksi ciri LBP-GLCM dan metode Naive Bayes. Selain itu, penelitian ini bertujuan untuk mengevaluasi efektivitas klasifikasi pneumonia pada citra X-ray paru-paru menggunakan metode LBP-GLCM dan Naive Bayes. Eksperimen dilakukan dengan menggunakan kumpulan data citra X-ray paru-paru, terutama berfokus pada 100 dan 500 gambar, serta memvariasikan jumlah data eksperimen. Hasil eksperimen menunjukkan akurasi tertinggi yang dicapai dengan variasi pengujian sebesar 30%, dengan tingkat akurasi sebesar 93% pada dataset 100 gambar dan 86% pada dataset 500 gambar. Metode LBP-GLCM dan Naive Bayes berkontribusi signifikan terhadap diagnosis medis dengan tingkat akurasi yang memuaskan, sehingga dapat membantu meningkatkan efisiensi praktik klinis sehari-hari.

SIMAPA System Testing Using Alpha and Beta Tests Eva Yulia Puspaningrum; Dhian Satria Yudha K.; Hapsari Wiji Utami; Yisti Vita Via; Eka Prakarsa Mandyartha; Hendra Maulana
Nusantara Science and Technology Proceedings 8th International Seminar of Research Month 2023
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2024.4133

The SIMAPA system is a system for monitoring children's activities and development which is implemented at KB-TK Agripina Surabaya. The SIMAPA system has been designed using system development, namely SDLC (System Development Life Cycle). The system can be declared valid and by what is expected if testing has been carried out. An application can be tested using collaborative alpha and beta testing using the black box method. Alpha testing is carried out to see whether all systems can run well and is carried out by the system manufacturer. Meanwhile, in beta testing, the party who will assess the system is the user or people who are not involved in creating the system. This testing is carried out by distributing questionnaires to several users to assess the application that has been built. The questionnaire contains questions about the system being built so that it can be concluded whether the application is by the objectives. The results of the Beta test with 6 questions about the system obtained good results with an average score of 92%. so that the system built is by what is expected.

Implementation of the Quizizz Application for Learning Media in Nurul Islam Kindergarten Rungkut Asri Timur Surabaya Based on Gamification Ani Dijah Rahajoe; Agussalim; Hendra Maulana
Nusantara Science and Technology Proceedings 7st International Seminar of Research Month 2022
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2023.3376

The Covid-19 pandemic forces us to continue to innovate and adapt to continue to carry out activities as before the pandemic. This digital adaptation or transformation needs to be done to minimize direct human contact. The educational institution, which is the meeting place for students, and teachers, makes the location quite vulnerable to the spread of Covid19. Educational institutions and university organizers are also encouraged to conduct online learning. Online learning media that can use include Quizizz and Kahoot. Quizizz and Kahoot are used to design quizzes, tests, polls, surveys, or diagnostic tests that can be separated from the primary teaching and learning process or are supplementary. This learning is applied to the teachers of TK Nurul Islam Rungkut Asri Timur Surabaya. During the two days of training, the teachers showed enthusiasm during the training. The methods applied are discussion, demonstration, and hands-on practice. Six kindergarten teachers and two lecturers from UPN “Veteran” Jawa Timur attended this training. The training results show that the method can align the learning media through Quizziz Kahoot with the gamification method for students. The results are indicated by the material presented, including pictures adapted to the student's age. The training results also show that participants can directly practice learning materials for their students, and their students can participate more actively in the gamification process. The feedback showed that all teacher participants stated that learning in Nurul Islam Kindergarten was appropriate, and 83% stated it was easy to implement.

KLASIFIKASI SENTIMEN TENTANG PEMINDAHAN IBU KOTA NEGARA INDONESIA DENGAN CONVOLUTIONAL NEURAL NETWORK MENGGUNAKAN GLOVE DAN FASTTEXT Putri, Desya Ristya; Puspaningrum, Eva Yulia; Maulana, Hendra
Jurnal Informatika dan Teknik Elektro Terapan Vol 12, No 3 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i3.4882

Media sosial kini menjadi tempat untuk berkomunikasi jarak jauh yang marak digunakan. Di dalam media sosial, terdapat berbagai macam opini pengguna yang sering kali terjadi kesalahan penafsiran oleh pembaca. Kadang kala, informasi yang tersebar juga merupakan hoaks sehingga dapat mempersulit pemahaman aktual sentimen yang sesungguhnya ingin disampaikan. Beberapa waktu terakhir, topik pembicaraan mengenai pemindahan ibu kota negara Indonesia sangat banyak tersebar di media sosial. Dilakukannya penelitian ini memiliki tujuan untuk mendapatkan perbandingan hasil antara dua metode ekstraksi fitur yang digunakan. Penelitian ini menerapkan ekstraksi fitur GloVe dan FastText dengan besaran nilai ukuran vektor sebesar 100. Klasifikasi dalam penelitian ini dilakukan dengan algoritma Convolutional Neural Network yang menerapkan beberapa variasi skenario uji, yaitu dengan mengubah nilai batch size dan epoch. Penelitian dilakukan dengan 44957 data komentar YouTube yang besar perbandingannya adalah 70:30 untuk data pelatihan dan data pengujian. Hasil dari dilakukannya percobaan menunjukkan bahwa metode ekstraksi fitur GloVe menghasilkan akurasi yang lebih baik dibandingkan dengan FastText. Hasil akhir didapatkan bahwa implementasi Convolutional Neural Network dengan GloVe menghasilkan rata-rata nilai precision sebesar 74.3%, recall sebesar 73.6%, f1-score sebesar 73.6%, serta accuracy sebesar 76.1%.

CONVOLUTIONAL NEURAL NETWORK DAN FASTER REGION CONVOLUTIONAL NEURAL NETWORK UNTUK KLASIFIKASI KUALITAS BIJI KOPI ARABIKA Pratama, Gede Ardi; Puspaningrum, Eva Yulia; Maulana, Hendra
Jurnal Informatika dan Teknik Elektro Terapan Vol 12, No 3 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i3.4887

Industri kopi global sangat dipengaruhi oleh peran masyarakat pecinta kopi, yang menciptakan ekosistem dimana kopi tetap menjadi komoditas istimewa. Salah satu aspek penting dalam pengelolaan kopi adalah penentuan grade kopi. Standar penilaian cacat pada biji kopi telah diakui secara nasional sejak tahun 1984 dan diperbarui dengan SNI 01-2907-2008 untuk memastikan kualitas dan konsistensi. Untuk meningkatkan efisiensi dan akurasi proses grading kopi, diperlukan sistem otomatis berbasis deep learning. Penelitian ini membahas penerapan CNN dan Faster R-CNN untuk klasifikasi biji kopi, dengan menggunakan biji kopi arabika, robusta, dan liberica. Algoritma CNN VGG-16 dan Faster R-CNN dibandingkan untuk mengidentifikasi pengaruh Region Proposal Network (RPN) terhadap efisiensi klasifikasi citra. Hasil penelitian menunjukkan bahwa CNN VGG-16 mencapai akurasi 86%, sementara Faster R-CNN mencapai rata-rata akurasi 93%, dengan presisi 93%, recall 92%, dan skor F1 92%. Penelitian ini bertujuan untuk memberikan pemahaman mendalam tentang kedua algoritma dalam konteks klasifikasi biji kopi serta meningkatkan efisiensi proses grading kopi. Industri kopi global sangat dipengaruhi oleh peran masyarakat pecinta kopi, yang menciptakan ekosistem dimana kopi tetap menjadi komoditas istimewa. Salah satu aspek penting dalam pengelolaan kopi adalah penentuan grade kopi. Standar penilaian cacat pada biji kopi telah diakui secara nasional sejak tahun 1984 dan diperbarui dengan SNI 01-2907-2008 untuk memastikan kualitas dan konsistensi. Untuk meningkatkan efisiensi dan akurasi proses grading kopi, diperlukan sistem otomatis berbasis deep learning. Penelitian ini membahas penerapan CNN dan Faster R-CNN untuk klasifikasi biji kopi, dengan menggunakan biji kopi arabika, robusta, dan liberica. Algoritma CNN VGG-16 dan Faster R-CNN dibandingkan untuk mengidentifikasi pengaruh Region Proposal Network (RPN) terhadap efisiensi klasifikasi citra. Hasil penelitian menunjukkan bahwa CNN VGG-16 mencapai akurasi 86%, sementara Faster R-CNN mencapai rata-rata akurasi 93%, dengan presisi 93%, recall 92%, dan skor F1 92%. Penelitian ini bertujuan untuk memberikan pemahaman mendalam tentang kedua algoritma dalam konteks klasifikasi biji kopi serta meningkatkan efisiensi proses grading kopi.

Pemberdayaan Organisasi PKK dan UMKM Milik Bu Sri; Upaya Perbaikan Keterlibatan Wanita di Desa Setren Shafira Rahmawati; Moy Yustiwa; Nadya Putri; Fairuz Sany; Nidya Arum; Hendra Maulana
Kegiatan Positif : Jurnal Hasil Karya Pengabdian Masyarakat Vol. 2 No. 2 (2024): Juni : Kegiatan Positif : Jurnal Hasil Karya Pengabdian Masyarakat
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/kegiatanpositif.v2i2.1021

Women's empowerment is a modern concept that marks progressive changes in efforts to liberate from patriarchal culture, where women's involvement in society was previously very minimal. Efforts to align the portion of involvement of all genders are often referred to as the equal rights movement or women's liberation movement. In Setren Village, women's involvement is still low, with the achievement of SDG 5 point "Village Women's Involvement" only 26.32%. Based on this assessment, our community service work program is focused on increasing women's involvement. We initiated two main programs: empowerment of Village PKK Organizations through the creation of Village Gardens and education on Verticulture planting media, as well as rebranding of Mrs. Sri's Village MSMEs which operate in the soybean juice beverage sector. By partnering with the PKK, this women's empowerment organization is expected to be able to contribute to community development. Support for MSMEs also aims to improve the economic and environmental aspects of villages. This research aims to evaluate the results of the women's empowerment program in Setren Village. In contrast to previous research which focused on crafts, our approach uses planting media education and MSME support. The service will be carried out for three months, from March to July 2024, in accordance with the SDGs of Setren Village. The methods used include surveys, discussions and problem identification. Surveys were conducted at the Village Hall and the Village Head's house to obtain initial information. The second visit was made to Mrs. Sri's house to understand the condition of MSMEs. After identifying the problem, discussions were held to determine the work program based on the relevant Setren Village SDG point 5.

Perancangan User Interface Pada Aplikasi E-Commerce Petshop Happypals Dengan Metode Desain Thinking Nisa', Choirun; Anugrah Prasetya, Rajawali Shatika; Rahmadewi, Cynthia Dwi; Nurdianto, Muhammad Akbar; Aziz, Muhammad Hilmy; Maulana, Hendra
Jurnal Ilmiah Informatika dan Ilmu Komputer (JIMA-ILKOM) Vol. 3 No. 2 (2024): Volume 3 Number 2 September 2024
Publisher : PT. SNN MEDIA TECH PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jima-ilkom.v3i2.28

Penelitian ini bertujuan untuk merancang aplikasi petshop HappyPals berbasis Android yang memudahkan pemilik hewan peliharaan dalam memenuhi kebutuhan hewan peliharaan mereka. Menggunakan metode Design Thinking, penelitian ini melalui lima tahapan utama: empathize, define, ideate, prototype, dan test. Proses empathize melibatkan survei untuk memahami kebutuhan pengguna, yang kemudian didefinisikan dan dianalisis pada tahap define. Pada tahap ideate, ide-ide kreatif dikumpulkan melalui brainstorming untuk mengembangkan solusi yang efektif. Prototype dibuat untuk menguji desain , dan kemudian diuji kepada pengguna untuk mendapatkan feedback. Hasil penelitian menunjukkan bahwa aplikasi HappyPals dapat meningkatkan efisiensi dan kenyamanan pengguna dalam berbelanja produk hewan peliharaan secara online, dengan fitur lengkap seperti informasi produk, fitur komunitas, konsultasi gratis, layanan pengiriman, dan sistem ulasan produk. Uji coba prototype menunjukkan bahwa aplikasi ini mudah dipahami dan diterima dengan baik oleh pengguna, dengan mayoritas responden menyatakan aplikasi ini sangat mudah dipahami.

Co-Authors A. Malik Haramain Abd. Ghofar Abd. Ghofar Abdurrahman Al Hakim Abyansyah Hayyu Sarwono Abyansyah Hayyu Sarwono Achmad Dhany Adam Mu'arif Achmad Syaifulloh Adelia Agatha Futti Adham Roy Bhafiel Adisty Nadyra Kristianti Adithya Daffa Rabbani Afandy Yosediputra Afitra Azzahra Agung Mustika Rizki Agung Mustika Rizki Agus Zainal Arifin Agussalim Agussalim, Agussalim Ahmad Haikal Nuqqy Zahhar Ajeng Arum Isfania Aji Bimantoro Aji Prayoga Akbar, Fawwaz Ali Alfiani, Fina Alif Syahda Adji Masyuri Alifiah Wulansari Mustofa Alit, Ronggo Alvina Widya Oktaviani Alvina Widya Oktaviani Amanda Amelia S Ananda Asa Firstha Affandi Anandah Amirah Andhika Yudha Fachriza Andi M. A. K. Parewe Andini Rahmawati Andreas Nugroho Sihananto Angga, Angga Rahmad Purnama Anggit Suryan Rohyan Anggraini Puspita Sari Ani Dijah Rahajoe Aniisah Eka Rahmawati Anita Wulansari Annis Oktaviani Anny Yuniarti Anugrah Prasetya, Rajawali Shatika Aprilia Verlianti Aprilia, Erica Ardela Putri Amalia Ardhelia Damayanti Wirawan Arnandhia Fatimah Azzahra Arya Dharma Syahputra Aziz, Muhammad Hilmy Azizah, Ratih Nuur Badriah, Lailatul Bagus Sutikno Putra Basuki Rahmat Masdi Siduppa Bisyrul Kafi I. A. Budi Nugroho Cahya Rafiyoga Harnan Chiristian K Chulaisy Meidianto Citra, Delia Darlis Herumurti Davina Azalia Erson Dewanti, Felicitas Deru Dewi Puji Arofah Dhian Satria Yudha Dhian Satria Yudha K. Dhian Satria Yudha Kartika Dhian Satria Yudha Kartika Dhian Satria Yudha Kartika Dian Anisa Raya Diana Aqidatun Nisa Dianto, Alfian Rachmad Dimas Arif Setyawan Dimas Arif Setyawan Dini Adni Navastara, Dini Adni Dita Atasa Diva Faridathul Ilmi Diva Rihhadatul ‘Aisy Divana Hikmala Salsabila Puteri Dr. Basuki Rahmat Dwi Rahma Putri, Septiani Dwi Yanti Margareta Dwiki Aditama Supangkat Eka Prakarsa Mandyartha Eka Prakarsa Mandyartha Eka Prakarsa Mandyartha Eka Prakarsa Mandyartha, Eka Eristya Maya Safitri Ernik Ernawati Eva Yulia Puspaningrum Evan Saka Akhfan Fadhilah Labibah Nurjanah Fahmi Anugrah Danendra Fairuz Sany Faisal Muttaqin Faisal Muttaqin Fakhiroh, Luqy Aizzatul Farrel Tiuraka Vierino Fatchur Rozci Fatimah Azzahra Fatinena Candra Tribuana Fatma Endah Cahyaningrum Febrian Agung Dwi Karina Fery Almas Ariansyah Fetty Tri Anggraeny Figo Afriansyah Firya Nadhira Firza Prima Aditiawan Fitrianata, Muhammad Ikhsan Ghea Lintang Samputri Girycki Sana Aleffin Gusti Eka Yuliastuti Hafid Akmal Alamsah Hakim Bima Ardimas Alam Hakim Bima Ardimas Alam Hamida Seftilutfiana Hana Safira Hidayat Handayani, Alfia Indah Handika, I Putu Susila Hannah Emmanuella Delia Hapsari Wiji Utami Hayu Desthia Hena Elizabet Herawati, Yoshi Inne Herlin Dwi Dita Tamtamalia I Gusti Agung Socrates Adi Guna I Kadek Susila Satwika I Kadek Susila Satwika I Putu Susila Handika idhom, Mohammad Ignatius Bramantya Prasetyo Dewa Ilham Rahmatullah Ilham Rahmatullah Indra Rasendriya Pratama Intan Mitayani Intan Savitri Ciptaningtyas Iramandha Putri Pratiwi Ismiatul Ilmiah Ivan Ardiansyah J.A. Jelita Srikandi Pertiwi Jonathan Christianto Wibowo Kartini Kartini Kenneth Ephram Singarimbun KEZIA, KEZIA Khofiatul Rosdiana Windiarti Kowi Akbar Prasetya Kurnia Rafif Shanika KY Margiati, KY Laksamana Zulfikar Satria Decca Harits Latif Ahmad Fauzan Laycha Nazila Supoyo Putri Leli Lestari Lintang Sari Putri Wardhani Lizard Sambawo Dimara, Denis M. Abizzar Maulana Ma'ruf, Hafidz Made Hanindia Prami Swari Mandyartha, Eka Prakarsa Mannan, Abd Margarita, Devina Mastar Asran Maulana Hassan Sechuti Maulidia Zalsa Wicahyo Putri Mega Agustina Kesumaning Pertiwi Meimy Ratnakanyaka Mercy Aulia Sugiarto Merlina Aris Michael Samudra Djaja Miftah Nur Miftakhul Jannah Moch. Rafie Pratama Mochammad Rayhan Faujan Mohamad Fikri Azam Mohamad Ilham Prasetyo Raharjo Mohammad Faisal Riftiarrasyid Moy Yustiwa Mufida Diah Lestari Muhammad Bagas Ikmal Rifki Muhammad Fabbian Rachmansyah Muhammad Imam Haramain Muhammad Muharrom Al Haromainy Muhammad Nur Muhammad Rizki Firmansyah Muttaqin, Faisal Nadya Putri Najwa Belvana Nakrowiyah, Finda Rohmatin Narendra Pasha Maulana Naufal Hilmy Fauzan Nazhmi Fadhil Neri Gareta Bintang Armevia Nidya Arum Niken Hefa Zakkiya Nina Zenitha Sekar Sari Nira Fitryani Nirwana Septania Galih Perwira Moekti Nisa', Choirun Nor Anisa Nugroho Sihananto, Andreas Nur Indah Fatmala Nur Mila Eka Zaliyanty Nur Vita Dewan Tari Nurdianto, Muhammad Akbar Nurhaliza, Risma Nurlaili, Afina Lina Nurmanida Azizah Nuha Nurul Wasiela Octaviani, Vincentia Indri Praja Firdaus Nuryananda Pratama Diko Marindo Pratama, Gede Ardi Putra, Chrystia Aji Putri, Desya Ristya Rafael Octava Brilliante Rafli Aprilian Firmansyah Rahmadewi, Cynthia Dwi Ratna Yulistiani Reygita Arintya Ayu Pramesti Reynaldi Rizky Utomo Richul Munawaroh Rima Fauziyyah Rinda Purwati Rindyi Putri Lestari Risda Rosdiana Agustin Riski, Agung Mustika Rizka Fadhillah, Irnanda Rizqy Ahsana Putri Rolando Limantara, Kristian Ronggo Alit Rozy, Achmad Safana, Tsabita Safira Kusmindasari, Anggun Safira Salma Azzahra Salsabila Firdaus Sari, Lintang Satria Fajar Dwi Kurniawan Satria Yudha Kartika , Dhian Satwika, I Kadek Susila Shabirina Laila Azka Shafa Diva Syaharani Shafira Rahmawati Sharla Putri Aisha Sheidy Yudhiasta Sijabat, Riris Oktauli BR Siti Mi’Danur Rahmah Sri Trisnaningsih Sri Utami Bina Wijayanti Sufi Miftakhoneki Sufi Miftakhoneki Sugiarto Sugiarto Sugiyanto, Edi Sulastri Sulastri Sutejo, Aris Syaifullah Jauharis Saputra, Wahyu Syarifuddin Aryasatya Nugraha Tarissa Satya Laksmi Triyana, Dimas Tsabita Safana Mustofa Utami, Hapsari Wiji Vita Via, Yisti Vivi Aprilliya Ningsih Vynka Zahira Sausan Wahyu Dwi Lestari Wicaksa Putra Pribadi, Achareeya Widyana Dini Maylinda Wiji Utami, Hapsari Wilda Cahyani Sukma Wirya Atmaja, Pratama Wisnu Wardana, Mahendra Yemima Dya Novitasari Yisti Vita Via Yisti Vita Via Yisti Vita Via Yisti Vita Via Yolanda Irfania Yudha K., Dhian Satria Yurisa Wianuari Zacky Yaser Malik Gumiwang Zumrotul Liana Putri Zumrotul Liana Putri

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