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All Journal Jurnal Pendidikan dan Pembelajaran Khatulistiwa (JPPK) Syntax Jurnal Informatika Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Scan : Jurnal Teknologi Informasi dan Komunikasi Jurnal Informatika dan Teknik Elektro Terapan Jurnal Inspiration Jurnal Ilmiah Ekonomi Islam INTEGER: Journal of Information Technology SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan JUTIM (Jurnal Teknik Informatika Musirawas) NUSANTARA : Jurnal Ilmu Pengetahuan Sosial Jurnal RESISTOR (Rekayasa Sistem Komputer) Jurnal Keperawatan Komprehensif (Comprehensive Nursing Journal) Jurnal Penelitian Informatika : Jurnal Informatika, Manajemen dan Komputer JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) J-Dinamika: Jurnal Pengabdian Kepada Masyarakat Jurnal Mantik Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer Jusikom: Jurnal Sistem Informasi Ilmu Komputer Jurnal Informatika dan Rekayasa Elektronik bit-Tech Jurnal MEBIS (Manajemen dan Bisnis) Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) JATI (Jurnal Mahasiswa Teknik Informatika) CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Jurnal Abdi Insani Jifosi Nusantara Science and Technology Proceedings IKONIK : Jurnal Seni dan Desain Jurnal Teknik Informatika (JUTIF) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Computer Science and Information Technology (CoSciTech) Journal of Computer, Electronic, and Telecommunication (COMPLETE) Jurnal Ilmiah Teknologi Informasi dan Robotika Jurnal Ilmiah Wahana Pendidikan Jurnal Manajemen Informatika Jayakarta Jurnal Abdimas Indonesia : Jurnal Abdimas Indonesia KARYA: Jurnal Pengabdian Kepada Masyarakat Unram Journal of Community Service (UJCS) International Journal Of Computer, Network Security and Information System (IJCONSIST) Jurnal Pengabdian Multidisiplin Jurnal Pengabdian Pada Masyarakat Indonesia (JPPMI) Jurnal Informatika Teknologi dan Sains (Jinteks) NUSANTARA: Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Masyarakat Indonesia (JPMI) Safari : Jurnal Pengabdian Masyarakat Indonesia JUSIFOR : Jurnal Sistem Informasi dan Informatika INCOME: Indonesian Journal of Community Service and Engagement DEVOTE: Jurnal Pengabdian Masyarakat Global Jurnal Pelayanan dan Pengabdian Masyarakat Indonesia Jurnal Nusantara Berbakti JEECS (Journal of Electrical Engineering and Computer Sciences) JURNAL PENGABDIAN MASYARAKAT AKADEMISI Jurnal Penelitian Sistem Informasi Jurnal Kabar Masyarakat Jurnal Informasi Pengabdian Masyarakat Sammajiva: Jurnal Penelitian Bisnis dan Manajemen Jurnal Ilmiah Informatika dan Ilmu Komputer Jurnal Pelayanan Hubungan Masyarakat Nusantara Journal of Computers and its Applications Pandawa : Pusat Publikasi Hasil Pengabdian Masyarakat Komunita: Jurnal Pengabdian dan Pemberdayaan Masyarakat Kegiatan Positif : Jurnal Hasil Karya Pengabdian Masyarakat Abdimas Terapan: Jurnal Pengabdian Kepada Masyarakat Terapan JOTTER Jurnal Riset Sistem dan Teknologi Informasi Aspirasi : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat Karunia: Jurnal Hasil Pengabdian Masyarakat Indonesia JEBD GEMBIRA (Pengabdian Kepada Masyarakat) Sains Data Jurnal Studi Matematika dan Teknologi Harmoni Sosial : Jurnal Pengabdian Dan Solidaritas Masyarakat Jurnal Pengabdian Masyarakat Indonesia (JPMI) Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Manfish: Jurnal Ilmiah Perikanan dan Peternakan Masyarakat Berkarya: Jurnal Pengabdian dan Perubahan Sosial Jurnal Teknokes Jurnal Pengabdian Masyarakat Indonesia MPKM
Maulana, Hendra
Department Of Computer Science, Faculty Of Informatics, Universitas Pembangunan Nasional “Veteran” Jawa Timur, Surabaya 60294, Indonesia
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Sistem Rekomendasi Makanan Sesuai Budget Bagi Wisatawan Menggunakan Algoritma Genetika Berbasis Website Nurhaliza, Risma; Sihananto, Andreas Nugroho; Maulana, Hendra
CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Vol 11 No 1 (2025): CICES
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cices.v11i1.3504

Abstract

The development of a web-based food recommendation system using Laravel aims to help tourists in Surabaya find places to eat that suit their preferences, overcoming the constraints of limited information and the many choices that are often confusing. This system utilizes a genetic algorithm, which was chosen for its ability to optimize recommendations based on various criteria such as budget and location. Restaurant data in Genteng and Bubutan Districts is collected and analyzed for use in the recommendation process. Functional testing shows that this system functions well, with a genetic algorithm that is able to produce optimal recommendations based on adequate fitness values ​​and fast execution times. To improve this system, it is recommended to improve the user interface design, optimize algorithm parameters, and perform additional testing to ensure system performance and security.
Recognition of Handwritten Hangeul Characters Using Convolutional Neural Network Kezia, Kezia; Sari, Anggraini Puspita; Maulana, Hendra
CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Vol 11 No 1 (2025): CICES
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cices.v11i1.3505

Abstract

The rapid increase in Indonesian tourists visiting South Korea has highlighted a growing interest in Korean culture, largely fueled by the Korean Wave. However, the inability to read the Korean alphabet (Hangeul) leaves many tourists vulnerable to scams. This paper proposes a novel solution to address this issue by developing a system for recognizing handwritten Hangeul characters, aimed at assisting Indonesian tourists in navigating South Korea safely. The research introduces a hybrid algorithm that integrates Vision Transformers (ViTs) with Convolutional Neural Network (CNN), aiming to overcome the limitations of CNN in capturing global features. The dataset utilized comprises 2,400 images of handwritten Hangeul characters, categorized into consonants and vowels. The study involved pre-processing, training, validation, and testing with three data split ratios (60:20:20, 70:15:15, 80:10:10) and two learning rates (0.001 and 0.0001) over 10 epochs. This hybrid model approach is designed to enhance recognition accuracy and improve the system's adaptability to diverse inputs.
Pembuatan Budikdamber Dengan Memanfaatkan Lahan Pekarangan Di Desa Rejoso Kabupaten Nganjuk Alvina Widya Oktaviani; Fatchur Rozci; Hendra Maulana
Jurnal Pelayanan dan Pengabdian Masyarakat Indonesia Vol. 2 No. 3 (2023): September : Jurnal Pelayanan dan Pengabdian Masyarakat Indonesia
Publisher : Sekolah Tinggi Ilmu Administrasi Yappi Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jppmi.v2i3.423

Abstract

Budikdamber or fish farming in a bucket or commonly known as aquaponics Budikdamber is a business alternative that can be used for the cultivation of plants and fish in one container. This Budikdamber can be applied in narrow or wide yards because it does not take place. Budikdamber also does not require expensive costs. Budikdamber socialization activities are expected to provide knowledge to the community in Rejoso Village and can improve horticultural crops, especially vegetables in Rejoso Village.
Deteksi Ikan Molly menggunakan Metode BLOB dan HSV pada Peternakan Ikan CSA Sidoarjo Wisnu Wardana, Mahendra; Dr. Basuki Rahmat; Hendra Maulana
Manfish: Jurnal Ilmiah Perikanan dan Peternakan Vol. 2 No. 2 (2024): September: Manfish: Jurnal Ilmiah Perikanan dan Peternakan
Publisher : Asosiasi Riset Ilmu Tanaman Dan Hewani Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/manfish.v2i2.34

Abstract

Penelitian ini menyoroti tantangan dalam perhitungan panen ikan molly secara manual, yang menghambat efisiensi dan profitabilitas peternakan ikan. Kurangnya penelitian komprehensif tentang penerapan teknologi pemrosesan citra digital di Indonesia mendorong eksplorasi algoritma BLOB dan filter HSV. Hasil pengujian menunjukkan tingkat akurasi yang memuaskan hingga 98,14%, meskipun dengan tantangan terkait identifikasi objek yang bertumpuk. Diperlukan penyesuaian parameter yang cermat untuk meningkatkan efektivitas deteksi.
Pendampingan Digital Marketing, Branding dan Rebranding Sebagai Upaya Pengembangan Brand UMKM Desa Musir Lor Hendra Maulana; Hakim Bima Ardimas Alam; Abd. Ghofar; Ilham Rahmatullah; Abyansyah Hayyu Sarwono; Zumrotul Liana Putri
Sammajiva: Jurnal Penelitian Bisnis dan Manajemen Vol. 1 No. 2 (2023): Juni : SAMMAJIVA : Jurnal Penelitian Bisnis dan Manajemen
Publisher : Institut Nalanda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47861/sammajiva.v1i2.252

Abstract

Digital marketing can be a solution to solving problems that have been experienced by MSME actors, namely product marketing problems. Especially in Musir lor Village, Kec. Rejoso, Kab. Ngajuk, East Java Province, where there are several UMKM that have the potential to be developed to become more productive. However, the lack of understanding of digital marketing causes these UMKM to not develop further on a large scale. This is based on the results of observations and the implementation of location surveys in the village of Musir Lor which is a form of research method in the analysis of problems with Musir Lor UMKM owners, namely the lack of awareness of the residents of Musir Lor Village about the importance of Business Identification Numbers, as well as the lack of understanding in increasing business value. or the image of a product to support product quality improvement and increase the interest of potential consumers in an UMKM product. Some UMKM build businesses with minimal knowledge of UMKM business owners causing a lack of knowledge about product brands. Therefore, in branding or rebranding a product, it must be understood that an attractive, unique and easily recognized design is very important. Therefore, several alternative strategies that need to be considered in building a brand are logos that are appropriate to the line of business, banners and business stamps, more attractive and modern packaging designs. In this modern and technological era, it is certainly not far from operating digital applications that must be understood by UMKM business actors as a form of effort to increase the development of an UMKM, such as operating an online marketplace, social media and operating a financial management application to manage finances in a structured manner.
Branding UMKM Desa Ngadiboyo Melalui Logo Baru Hendra Maulana; Davina Azalia Erson; Wilda Cahyani Sukma; Narendra Pasha Maulana; Girycki Sana Aleffin; Yurisa Wianuari
Sammajiva: Jurnal Penelitian Bisnis dan Manajemen Vol. 1 No. 3 (2023): September : SAMMAJIVA : Jurnal Penelitian Bisnis dan Manajemen
Publisher : Institut Nalanda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47861/sammajiva.v1i3.340

Abstract

MSME (micro, small, and medium enterprises) branding is one the most crucial aspects to a business operation. Branding can help improve the sales number by increasing brand awareness among the public. This research is conducted in the village of Ngadiboyo, Rejoso sub-district, Nganjuk regency. The main purpose of this research is to provide elucidation to the local MSMEs owner regarding logo branding that would play an important role of increasing their sales figures and as a marketing tool towards their potential customers. This is a descriptive research to explain each stage conducted by the researcher in a detailed manner. This research was conducted in order to have an affective and cognitive impact. This is effective in providing an understanding of logo branding to MSME actors. This research is expected to be able to make MSME owners realize the importance of logo branding in business development.
Sosialisasi Dan Pendampingan Nomer Induk Berusaha: Untuk Meningkatkan Motivasi Berwirausaha Masyarakat Desa Talang Kabupaten Nganjuk Kowi Akbar Prasetya; Bisyrul Kafi I. A.; Amanda Amelia S; Adelia Agatha Futti; Muhammad Imam Haramain; Hendra Maulana
ABDIMAS TERAPAN : Jurnal Pengabdian Kepada Masyarakat Terapan Vol. 1 No. 1 (2023): Juni: ABDIMAS TERAPAN: Jurnal Pengabdian Kepada Masyarakat Terapan
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/abdimasterapan.v1i1.204

Abstract

Business Identification Number (NIB) is an identification for a business entity adjusted to the line of business in the 2020 Indonesian Business Field Standard Classification, which is differentiated into types of economic activity that produce output aliases, both in the form of goods and services. A 13 digit business identifier containing a security and digital signature. The function of BIN is not only identity, but also business registration certificate, import identification number and customs access for companies engaged in the import and export business. The service activities carried out by KKNT 66 UPNVJT students aim to provide education as well as assistance for UMKM in Talang village, Nganjuk district with an understanding of the importance of registering a business on a Certified Identification Number. The hope of carrying out this service activity is to be able to provide motivation, self-confidence, and of course the progress of UMKM in Talang village. From this activity it can also be understood that there are still many business actors and UMKM who do not understand the existence and function of NIB. There are also those who are afraid to register their business for fear of being charged a large fee. Even though the existence of an NIB should be able to make it easier for UMKM players to develop their business.
METODE BERNOULLI NAIVE BAYES UNTUK ANALISIS SENTIMEN TERHADAP LESBIAN, GAY, BISEKSUAL DAN TRANSGENDER (LGBT) PADA MEDIA SOSIAL TWITTER Safira Kusmindasari, Anggun; Syaifullah Jauharis Saputra, Wahyu; Maulana, Hendra
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 2 (2025): JATI Vol. 9 No. 2
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i2.12808

Abstract

Saat ini teknologi berkembang dengan sangat pesat dan mempermudah pengguna untuk mengakses berbagi macam informasi. Salah satu media yang sering digunakan untuk mencari informasi selain google adalah twitter. Twitter merupakan salah satu media sosial yang banyak digunakan untuk menyampaikan pendapat dan mencari informasi berita terbaru. Salah satu pembahasan topik yang masih dibahasa hingga saat ini adalah mengenai Lesbian, Gay, Biseksual dan Transgender (LGBT). Ulasan atau tweet pada pembahasan topik LGBT memuat banyak sentimen dari pengguna twitter. Untuk mendeteksi ulasan atau tweet yang dikirimkan pengguna pada twitter penting untuk dilakukan suatu teknik pengolahan data yang disebut dengan teknik analisis sentimen. Analisis sentimen menggunakan algoritma Bernoulli Naive Bayes yang akan di gunakan pada tweet atau ulasan pada twitter dalam penelitian ini. Tujuan penelitian ini untuk mengukur performa dari algoritma Bernoulli Naive Bayes dalam pengklasifikasian sentimen menjadi dua kelas berupa sentimen positif dan sentimen negatif. Ssebanyak 2.000 data tweet pada twitter digunakan pada penelitian ini. Hasil pengujian menunjukan Bernoulli Naive Bayes menghasilkan nilai akurasi 90,52%.
IDENTIFIKASI PENYAKIT DAUN PADI DENGAN METODE TRANSFER LEARNING MOBILENET - SUPPORT VECTOR MACHINE Lizard Sambawo Dimara, Denis; Rahmat, Basuki; Maulana, Hendra
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.v9i3.14245

Abstract

Padi adalah komoditas utama dalam sektor pertanian Indonesia yang sangat rentan terhadap penyakit seperti brown spot, bacterial blight, blast, dan tungro, yang dapat menurunkan hasil panen secara signifikan. Proses identifikasi penyakit secara manual oleh petani dinilai kurang efisien dan sering kali menghasilkan kesalahan. Penelitian ini bertujuan untuk mengembangkan model klasifikasi penyakit pada daun padi dengan menggunakan teknologi transfer learning, yang menggabungkan MobileNetV3-Small dan Support Vector Machine (SVM). Metode yang diterapkan mencakup pemrosesan dataset citra daun padi yang meliputi empat jenis penyakit, serta penggunaan teknik augmentasi data untuk meningkatkan keragaman dan kualitas data pelatihan. Hasil evaluasi menunjukkan bahwa kombinasi MobileNetV3-Small dan SVM memberikan akurasi tertinggi yaitu 99,66%, yang lebih unggul dibandingkan model MobileNetV3-Small 99,24% dan SVM 95,02% secara terpisah. Berdasarkan analisis confusion matrix, model ini terbukti sangat akurat dalam mengklasifikasikan penyakit meskipun ada beberapa kesalahan pada kelas-kelas dengan kesamaan visual yang tinggi
Klasifikasi Golongan Kendaraan Tol menggunakan CNN Tensorflow Rozy, Achmad; Abdurrahman Al Hakim; Chiristian K; Farrel Tiuraka Vierino; Maulana, Hendra
Jurnal Ilmiah Teknologi Informasi dan Robotika Vol. 7 No. 1 (2025): Jurnal Ilmiah Teknologi Informasi dan Robotika
Publisher : Universitas Pembangunan Nasional Veteran Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/jifti.v7i1.151

Abstract

Pengelolaan lalu lintas di jalan tol memerlukan strategi yang efektif dalam mengidentifikasi jenis kendaraan untuk meningkatkan keamanan dan efisiensi transportasi. Artikel ini membahas implementasi Convolutional Neural Network (CNN) menggunakan TensorFlow untuk klasifikasi kendaraan di jalan tol. CNN telah terbukti efektif dalam mengenali pola visual kompleks, memungkinkan identifikasi kendaraan secara akurat tanpa perlu ekstraksi fitur manual. Dengan memanfaatkan arsitektur deep learning, CNN dapat mempelajari representasi fitur dari data citra dengan tingkat akurasi yang tinggi. Penggunaan TensorFlow sebagai framework deep learning memberikan keunggulan dalam pengembangan model dengan performa tinggi. Implementasi CNN dengan TensorFlow meningkatkan efisiensi dan akurasi klasifikasi kendaraan, membantu dalam mengelola lalu lintas dengan lebih efektif. Solusi ini meminimalkan kesalahan manusia, mempercepat proses klasifikasi, dan meningkatkan pengalaman pengguna jalan tol. Integrasi TensorFlow dalam sistem pengelolaan lalu lintas dapat menciptakan solusi yang lebih efektif dalam mengatasi tantangan di jalan tol. Model klasifikasi kendaraan ini mencapai 90.6% akurasi pada data uji. Sehingga dapat disimpulkan bahwa metode ini dapat secara efektif meningkatkan akurasi dan efisiensi dalam klasifikasi jenis kendaraan di jalan tol
Co-Authors A. Malik Haramain Abd. Ghofar Abd. Ghofar Abdurrahman Al Hakim Abyansyah Hayyu Sarwono Abyansyah Hayyu Sarwono Achmad Dhany Adam Mu'arif Achmad F, Kemas Achmad Junaidi Achmad Syaifulloh Adelia Agatha Futti Adham Roy Bhafiel Adisty Nadyra Kristianti Adithya Daffa Rabbani Ady F, Rahmad Afandy Yosediputra Afif A, Dana Afina Lina Nurlaili Afitra Azzahra Agung Mustika Riski Agus Zainal Arifin Agussalim, Agussalim Agustin, Risda Rosdiana Ahmad Haikal Nuqqy Zahhar Ahmad Muhajir, Ahmad Ajeng Arum Isfania Ajeng Arum Isfania Aji Bimantoro Aji Prayoga Akbar, Fawwaz Ali Al Hakim, Abdurrahman Alfi Kurinita Widianti Alfiani, Fina Ali Fikri, Yudistia Teguh Alif Syahda Adji Masyuri Alifiah Wulansari Mustofa Alit, Ronggo Althafiansyah, Rafif Althafiansyah, Rafif Zaidan Alvin Rama Saputra Alvina Widya Oktaviani Amanda Amelia S Ananda Asa Firstha Affandi Anandah Amirah Andhika Yudha Fachriza Andhika Yudha Fachriza Andi M. A. K. Parewe Andini Rahmawati Andreas Nugroho Sihananto Angga, Angga Rahmad Purnama Anggit Suryan Rohyan Anggraini Puspita Sari Anggraini, Elvina Rosita Ani Dijah Rahajoe Aniisah Eka Rahmawati Anita Wulansari Annis Oktaviani Annisa Nur Firdaus Anny Yuniarti Anugrah Prasetya, Rajawali Shatika Aprilia Verlianti Aprilia, Erica Aprilia, Salma Ardela Putri Amalia Ardhelia Damayanti Wirawan Ariansyah, Fery Almas Aris Sutejo Arnandhia Fatimah Azzahra Arya Dharma Syahputra Aziz, Muhammad Hilmy Azizah, Ratih Nuur Azizullah, Dana Afif Baehaqi Bagus Sutikno Putra Basuki Rahmat Masdi Siduppa Bimantoro, Adi Bisyrul Kafi I. A. Budi Nugroho Cahya Rafiyoga Harnan Cantika Dwi Maharani Ningtias Chiristian K Chulaisy Meidianto Citra, Delia Daniel Evanda Darlis Herumurti Davina Azalia Erson Dela Ayu Putri Mayona Dewanti, Felicitas Deru Dewi Puji Arofah Dhian Satria Yudha Dhian Satria Yudha K. 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 LESTARI, WAHYU Dwi Rahma Putri, Septiani Dwi Rahmadewi, Cynthia Dwi Yanti Margareta Dwiki Aditama Supangkat Eka Prakarsa Mandyartha Eka Prakarsa Mandyartha Eka Prakarsa Mandyartha, Eka Elistiya Elistiya Endjani, Siti Kayyisa Nakhwa Eristya Maya Safitri Ernik Ernawati Eva Yulia Puspaningrum 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 Febriansyah, Rahmad Ady Fetty Tri Anggraeny Figo Afriansyah Fikri, Kemas Achmad Firmansyah, Riki Zogik Firya Nadhira Firza Prima Aditiawan Fitri, Anivea Fachmi Nur Fitrianata, Muhammad Ikhsan Galan Ahmad Defanka Ghazian, Himdani Ghea Lintang Samputri Girycki Sana Aleffin Gunawan, Bintang Anggraini Fania 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 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 Ignatius Bramantya Prasetyo Dewa Ika Faiqotul Ilham Rahmatullah Ilham Rahmatullah Indra Rasendriya Pratama Indra Rasendriya Pratama Indri Afriyani Yasin Intan Mitayani Irawati Irawati Ismiatul Ilmiah Iswanda Fauzan Satibi Ivan Ardiansyah J.A. Jelita Srikandi Pertiwi Jauhari Achmad Pradana Jemima Angella Setyana Jihan Syauqiyah Rosyadah Jonathan Christianto Wibowo Karina, Febrian Agung Dwi Kartika, Dhian Satri Yudha Kartini Kartini Kenneth Ephram Singarimbun KEZIA, KEZIA Khofiatul Rosdiana Windiarti Kowi Akbar Prasetya Kumala, Yudhistira Nanda Kurnia Rafif Shanika Kurniawan, Satria Fajar Dwi KY Margiati, KY Lailatul Badriah Laksamana Zulfikar Satria Decca Harits Latif Ahmad Fauzan Laycha Nazila Supoyo Putri Leli Lestari Lestari, Mufida Diah Lina Nurlaili , Afina Listiasari, Rani Lizard Sambawo Dimara, Denis Ma'ruf, Hafidz Mabruri, Kemal Al Kautsar Made Hanindia Prami Swari Mandyartha, Eka Prakarsa Mannan, Abd Margarita, Devina Mastar Asran Maulana Hassan Sechuti Maulana, M. Abizzar Maulidia Zalsa Wicahyo Putri Meimy Ratnakanyaka Merlina Aris Miftah Nur Miftahul Ichwan Miftakhul Jannah Moch. Rafie Pratama Mochammad Rayhan Faujan Mohamad Fikri Azam Mohamad Fikri Azam Mohamad Ilham Prasetyo Raharjo Mohammad Faisal Riftiarrasyid Mohammad Idhom Mohammad Idhom Moy Yustiwa Muchammad Basroil Billah Muchammad Fadika Naddiyanto Muhammad Bagas Ikmal Rifki Muhammad Fabbian Rachmansyah Muhammad Imam Haramain Muhammad Muharrom Al Haromainy Muhammad Rafli Alviro Muhammad Rizki Firmansyah Muhammad Rizki Firmansyah Mustofa, Tsabita Safana Muttaqin, Faisal Muttaqin, Faisal Nadiyah Myrilla Nadya Putri Najwa Belvana Nakrowiyah, Finda Rohmatin Narendra Pasha Maulana Natasya Ika Marshanda 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 Nirwana Septania Galih Perwira Moekti Nisa', Choirun Novia Rahmadhani Nugroho Sihananto, Andreas Nur Indah Fatmala Nur Mila Eka Zaliyanty Nur Vita Dewan Tari Nurdianto, Muhammad Akbar Nurhaliza, Risma Nurmanida Azizah Nuha Nurul Wasiela Nuryananda, Praja Firdaus Octaviani, Vincentia Indri Parlika, Rizky Pratama Diko Marindo Pratama, Gede Ardi Pratiwi, Iramandha Putri Priza Pandunata Putra, Chrystia Aji Putri Wardhani, Lintang Sari Putri, Desya Ristya Rafael Octava Brilliante Rafli Aprilian Firmansyah Rahmadewi, Cynthia Dwi Ratna Yulistiani Reygita Arintya Ayu Pramesti Reynaldi Rizky Utomo Richul Munawaroh Rinda Purwati Rindyi Putri Lestari Rizka Fadhillah, Irnanda Rizki, Agung Mustika Rizqiyah Ahmad Rizqy Ahsana Putri Rohyan, Anggit Suryan 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 Sefiko Putra, Benedictus Renee Shabirina Laila Azka Shafa Diva Syaharani Shafira Rahmawati Sharla Putri Aisha Sheidy Yudhiasta Sheidy Yudiasta Sijabat, Riris Oktauli BR Siti Mi’Danur Rahmah Sri Trisnaningsih Sri Utami Bina Wijayanti Sufi Miftakhoneki Sufi Miftakhoneki Sugiarto, Mercy Aulia Sugiarto, Sugiarto Sugiyanto, Edi Sulastri Sulastri Sutrisni, Erica Aprilia Syaifullah Jauharis Saputra, Wahyu Syarifuddin Aryasatya Nugraha Tarissa Satya Laksmi Triyana, Dimas Tsabita Safana Mustofa Tsalis Rahmad Darmawan Tsalis Rahmad Dharmawan Ulfatillah Salmi Utami, Hapsari Wiji Vita Via, Yisti Vivi Aprilliya Ningsih Vynka Zahira Sausan Wafa Muqsithoh Subchan Wahyu Dwi Lestari Wahyu Setiawan Wardhani, Lintang Sari Putri Wati, Septya Asmoro Wicaksa Putra Pribadi, Achareeya Widia, Elfitra Widyana Dini Maylinda Widyana Dini Maylinda Wijaya, Hanjas Mahatma 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 Yolanda Irfania Yudha K., Dhian Satria Yurisa Wianuari Zacky Yaser Malik Gumiwang Zainal Abidin Achmad Zaky Ikhsanudin Zein, Isynariyah Zumrotul Liana Putri Zumrotul Liana Putri