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All Journal Jurnal Sains dan Teknologi Jurnal Teknologi Informasi dan Ilmu Komputer International Journal of Advances in Intelligent Informatics Jurnas Nasional Teknologi dan Sistem Informasi ANDHARUPA Jurnal Informatika Jurnal Pilar Nusa Mandiri CogITo Smart Journal Indonesian Journal of Artificial Intelligence and Data Mining JITK (Jurnal Ilmu Pengetahuan dan Komputer) JMM (Jurnal Masyarakat Mandiri) JTAM (Jurnal Teori dan Aplikasi Matematika) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan ILKOM Jurnal Ilmiah DoubleClick : Journal of Computer and Information Technology MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JURTEKSI JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Pengabdian Kepada Masyarakat MEMBANGUN NEGERI Building of Informatics, Technology and Science Infotekmesin Jurnal Teknologi Informasi dan Multimedia Seminar Nasional Teknologi Informasi Komunikasi dan Administrasi [SEMINASTIKA] Scientific Journal of Informatics JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat) IJIIS: International Journal of Informatics and Information Systems Indonesian Journal of Data and Science JPMB: Jurnal Pemberdayaan Masyarakat Berkarakter Journal of Computer Networks, Architecture and High Performance Computing Jurnal Teknik Informatika (JUTIF) Teknika Society : Jurnal Pengabdian dan Pemberdayaan Masyarakat Journal of Technology and Informatics (JoTI) TIERS Information Technology Journal Decode: Jurnal Pendidikan Teknologi Informasi Indonesian Journal of Innovation Studies Jurnal Pengabdian Kepada Masyarakat Abdi Nusa Jurnal Ilmiah IT CIDA : Diseminasi Teknologi Informasi Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer (JURITEK) Jurnal Pengabdian Mitra Masyarakat (JPMM) JOMPA ABDI: Jurnal Pengabdian Masyarakat Digital Transformation Technology (Digitech) ABDINE Jurnal Pengabdian Masyarakat Jurnal Krisnadana Bulletin of Social Informatics Theory and Application Jurnal Pengabdian Kepada Masyarakat Ceria Jurnal Medika: Medika Jurnal Pengabdian Kepada Masyarakat Bersinergi Inovatif Prosiding Seminar Nasional Pemberdayaan Masyarakat (SENDAMAS) TECHNOVATE Edu Komputika Journal Jurnal Informatika
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PELATIHAN PEMANFAATAN TEKNOLOGI INFORMASI NEARPOD SEBAGAI INOVASI PEMBELAJARAN DI ERA 5.0 Irma Darmayanti; Dias Ayu Budi Utami; Pungkas Subarkah; Harun Alrasyid; Nikmah Trinarsih
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 7, No 4 (2023): December
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v7i4.19219

Abstract

ABSTRAKPemanfaatan teknologi di era pandemi corona kemarin, mengubah sistem pembelajaran di Indonesia menjadi online/daring. Pemanfaatan gadget menjadi peran utama dalam proses pembelajaran melalui kelas online. Hal ini membuat siswa menjadi terbiasa belajar mandiri menggunakan teknologi yang mempunyai basic visual audio. Ketika pandemi usai, kegiatan belajar menjadi tatap muka membuat siswa menjadi kurang bersemangat karena harus beradaptasi kembali. Seperti hal nya yang dirasakan siswa SMK Bakti Purwokerto. Dengan permasalahan yang ada, maka kegiatan pelatihan penggunaan  teknologi Nearpod dilaksanakan dengan peserta pelatihan Bapak dan Ibu guru SMK Bakti Purwokerto sebagai inovasi pembelajaran dengan tujuan menjadikan siswa lebih termotivasi dalam belajar dan tujuan pembelajaran disekolah tercapai. Pelatihan dilaksanakan selama dua hari dengan model workshop. Pelatihan yang dimulai tanggal 31 Agustus sampai dengan 1 September 2023 dikemas dalam bentuk ceramah dan praktek langsung oleh para peserta. Hasil evaluasi menunjukan peningkatan pemahaman peserta terhadap materi pelatihan relatif kecil(28,44%), namun motivasi peserta cukup besar(89,29%) untuk dapat menerapkan Nearpod kedalam KBM. Kata kunci: inovatif; nearpod; pembelajaran; teknologi. ABSTRACTThe utilization of technology in the corona pandemic era has changed the learning system in Indonesia to online. The use of gadgets plays a major role in the learning process through online classes. This makes students accustomed to learning independently using technology that has a basic audio visual. When the pandemic is over, learning activities become face-to-face, making students less excited because they have to adapt again. This is what students of SMK Bakti Purwokerto feel. With the existing problems, training activities on the use of Nearpod technology were carried out with training participants Mr. and Mrs. teachers of SMK Bakti Purwokerto as a learning innovation with the aim of making students more motivated in learning and achieving school learning goals. The training was held for two days with a workshop model. The evaluation results show that the increase in participants' understanding of the training material is relatively small (28.44%), but the motivation of the participants is quite large (89.29%) to be able to apply Nearpod into KBM. Keywords: nearpod; innovative; learning; technology.
Sentiment Analysis of Twitter Cases of Riots at Kanjuruhan Stadium Using the Naive Bayes Method Bryan Jerremia Katiandhago; Akhmad Mustolih; Wachyu Dwi Susanto; Pungkas Subarkah; Chendri Irawan Satrio Nugroho
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 1 (2023): Article Research Volume 5 Issue 1, January 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i1.2196

Abstract

Sentiment analysis is a process carried out to analyze opinions, sentiments, judgments, and emotions from the riot case at the kanjuruhan stadium. The purpose of this research is to find out public opinion about the tragedy that is currently happening at the Kanjuruhan Stadium. the data was obtained from social media Twitter using the Twitter API, then after that, an analysis was carried out. data from the results of the analysis will be classified using the Naive Bayes method. The classification process is divided into 7 (seven) stages, namely Crawling, Cleansing, pre-processing, labeling, classification, data training, and data testing. In the labeling process, data is classified into 2 (two) classes, namely the positive class and the negative class. The data obtained before the preprocessing process was 1963 tweets, after the preprocessing the data obtained was 1001 tweets. The data will be trained and tested using the naive Bayes classification method. classification results obtained precision values of 82% for negative data and 65% for positive data, recall values obtained 74% for negative data and 75% for positive data, F1-score values obtained 78% for negative data and 70% for positive data, while accuracy value obtained 74%.
Perbandingan Kinerja Metode Naïve Bayes Classifier dan K-Nearest Neighbor pada Analisis Sentimen Ulasan Mobile Banking Jenius Anggi Tri Dewi Septiani; Adam Prayogo Kuncoro; Pungkas Subarkah; Riyanto Riyanto
Jurnal Krisnadana Vol 3 No 2 (2024): Jurnal Krisnadana – Januari 2024
Publisher : Yayasan Sinergi Widya Nusantara (Sidyanusa)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58982/krisnadana.v3i2.516

Abstract

Salah satu dampak revolusi industri 4.0 adalah terjadinya persaingan antara bank dengan fintech, supaya tidak tertinggal bank melakukan inovasi dengan menciptakan mobile banking, hingga di Indonesia jumlah pengguna mobile banking setiap tahun semakin meningkat dan nasabah semakin banyak sehingga bank perlu untuk memperhatikan kepuasan pelanggan.Analisis sentimen adalah salah satu solusi yang dapat digunakan untuk melihat kepuasan pelanggan dari opini pengguna aplikasi mobile banking.Pada penelitian ini penulis memiliki tujuan untuk membandingkan kinerja metode Naïve Bayes Classifier dan K-Nearest Neighbor terhadap ulasan mobile banking. Adapun pengujian dari 2000 data yang dibagi menjadi 1600 data latih dan 400 data uji.Hasil analisa menunjukan bahwa metode K-Nearest Neighbor lebih unggul dalam menganalisis sentimen dan hasil performance confusion matrix menunjukan hasil akurasi K-Nearest Neighbor unggul dengan akurasi sebesar 84,06% dan 83,06% sedangkan Naïve Bayes Classifier memperoleh hasil akurasi sebesar 83,06% dan 82,56%.
Pelatihan dan Pendampingan Pembuatan Bahan Ajar Interaktif Berbasis ICT Menggunakan Aplikasi Lectora Inspire bagi Guru-Guru SMA Negeri 1 Wangon Pungkas Subarkah; Faridatun Nida; Irma Darmayanti; Primandani Arsi; Dewi Fortuna; Rosana Fadilla Sari
Prosiding Seminar Nasional Pemberdayaan Masyarakat (SENDAMAS) Vol 2, No 1 (2022): Desember 2022
Publisher : UniversitasAl Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/psn.v2i1.1416

Abstract

Beberapa Persoalan dari kolega yaitu1) kemampuan tenaga pengajar atau guru masih rendah dalam menggunakan teknologi 2) belum adanya pelatihan dan pendampingan pembuatan bahan ajar interaktif berbasis teknologi informasi.  Tenaga pengajar belum memiliki kualifikasi untuk melakukan pelatihan bahan ajar interaktif berbasis teknologi informasi yang dibuktikan dengan sertifikat pelatihan. Tujuan pengabdian ini adalah untuk memberikan pelatihan dan pendampingan pembuatan bahan ajar interaktif berbasis ICT menggunakan aplikasi Lectora Inspire. Metode pelaksanaan dalam pengabdian ini ialah metode workshop dilengkapi Pre-test dan Post-test. Mitra pengabdian ini yaitu guru-guru SMA Negeri 1 Wangon dengan jumlah 50 guru. Hasil dari pengabdian menunjukkan peningkatan yang signifikan, dapat disimpulkan bahwa ada kenaikan sejumlah 70% dalam pemahaman penggunaan bahan ajar interaktif berbasis ICT menggunakan lectora inspire setelah diberikan pelatihan dan pendampingan. Kata kunci: Bahan Ajar Interaktif, ICT, Lectora Inspire, Guru SMA.
DESIGNING UI/UX OF DOCTOR'S CONSULTATION APPLICATION USING DESIGN THINKING METHOD Wenti Risma Damayanti; Adam Prayogo Kuncoro; Pungkas Subarkah; Rujianto Eko Saputro
JURTEKSI (Jurnal Teknologi dan Sistem Informasi) Vol 10, No 2 (2024): Maret 2024
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v10i2.3053

Abstract

Abstract: For all people in the world, the application of information and communication technology has become something that is used in everyday life. All information can be accessed easily using current developments in various technologies. The process of searching for various information on the internet has become a habit of today's society. One of the information that people often seek is about health. Several available online health consultation service applications provide considerable benefits for all users. One method used for the UI and UX design process is design thinking. The average user of the application is 18-35 years old. The user interface provided in this application is not yet user friendly, especially for the elderly. User interface (UI) and user experience (UX) are important so that users feel comfortable when using an application.            Keywords: information technology; consulting application; UI/UX; design thinking  Abstract: Bagi seluruh masyarakat di dunia, penerapan teknologi informasi dan komunikasi menjadi hal yang sudah digunakan dalam kehidupan sehari-hari. Seluruh informasi dapat diakses dengan mudah menggunakan perkembangan berbagai macam teknologi saat ini. Proses mencari berbagai informasi di internet sudah menjadi kebiasaan masyarakat saat ini. Salah satu informasi yang sering dicari oleh masyarakat yaitu tentang kesehatan. Beberapa aplikasi layanan konsultasi kesehatan online yang tersedia memberikan manfaat yang cukup besar bagi seluruh pengguna. Salah satu metode yang digunakan untuk proses desain UI dan UX adalah design thinking. Pengguna aplikasi tersebut rata-rata berusia 18-35 tahun. Tampilan user interface yang disediakan pada aplikasi tersebut belum bersifat user friendly, terutama bagi kalanagn lansia. User interface (UI) dan user experience (UX) menjadi hal penting supaya pengguna merasakan kenyamanan pada saat menggunakan sebuah aplikasi.            Keywords: teknologi informasi; aplikasi konsultasi; UI/UX; design thinking
DESIGNING UI/UX FOR ELEMENTARY SCHOOL E-LEARNING USING DESIGN THINKING METHOD Muhammad Rifqi Anshari; Adam Prayogo Kuncoro; Pungkas Subarkah
JURTEKSI (Jurnal Teknologi dan Sistem Informasi) Vol 10, No 3 (2024): Juni 2024
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v10i3.3177

Abstract

Abstract: Advances in technology and the internet have an impact on various daily activities, including the teaching and learning process. E-learning facilitates flexible learning without being constrained by space and time constraints. With e-learning, subject matter can be delivered consistently and more standardly than conventional learning which depends on the conditions of the teacher or instructor. One school in Banjarnegara Regency faced problems with students who had difficulty in learning, especially English. The learning media owned is limited to package books only. Therefore, schools need to have media that can support the learning process to be more optimal. This study aims to design and test UI/UX e-learning designs that suit the needs of the school using the design thinking method. This UI/UX design is expected to be an effective solution to overcome the limitations of learning media and improve the quality of student learning. Before the UI/UX design is implemented into the system, this study also conducts testing of the UI/UX design to assess its feasibility. Testing using the SUS (System Usability Scale) method resulted in a value of 82 with grade B, so it can be concluded that the design developed in this study is feasible to be deployed into the system and further developed.             Keywords: E-learning; design thinking; system usability scale; UI/UX Abstrak: Kemajuan teknologi dan internet berdampak pada berbagai aktivitas sehari-hari, termasuk proses belajar-mengajar. E-learning memfasilitasi pembelajaran yang fleksibel tanpa terkendala oleh batasan ruang dan waktu. Dengan e-learning, materi pelajaran dapat disampaikan secara konsisten dan lebih standar dibandingkan pembelajaran konvensional yang bergantung pada kondisi guru atau instruktur. Salah satu sekolah di Kabupaten Banjarnegara menghadapi permasalahan dengan peserta didik yang kesulitan dalam pembelajaran, khususnya bahasa Inggris. Media pembelajaran yang dimiliki terbatas hanya pada buku paket saja. Oleh karena itu, sekolah perlu memiliki media yang dapat menunjang proses pembelajaran agar lebih optimal. Penelitian ini bertujuan untuk merancang dan menguji desain UI/UX e-learning yang sesuai dengan kebutuhan sekolah tersebut menggunakan metode design thinking. Desain UI/UX ini diharapkan dapat menjadi solusi efektif untuk mengatasi keterbatasan media pembelajaran dan meningkatkan kualitas belajar siswa. Sebelum desain UI/UX diterapkan ke dalam sistem, penelitian ini juga melakukan pengujian terhadap desain UI/UX untuk menilai kelayakannya. Pengujian menggunakan metode SUS (System Usability Scale) menghasilkan nilai 82 dengan grade B, sehingga dapat disimpulkan bahwa desain yang dikembangkan dalam penelitian ini layak untuk dideploy ke dalam sistem dan dikembangkan lebih lanjut. Kata kunci: E-learning; design thinking; system usability scale; UI/UX 
COMPARISON OF SVM AND NAÏVE BAYES CLASSIFIER ALGORITHMS ON STUDENT INTEREST IN JOINING MSIB Amira Aida Rashifa; Hendra Marcos; Pungkas Subarkah; Siti Alvi Sholikhatin
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 10 No. 1 (2024): JITK Issue August 2024
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v10i1.5270

Abstract

Machine learning (ML) is a branch of artificial intelligence (AI) that deals with the development of systems capable of learning from data to make predictions or decisions without being explicitly programmed. In this study, we conducted an analysis of students' interest in the Internship and Certified Independent Study Program (MSIB) in the context of the Independent Campus Learning policy. The method used is a survey by distributing questionnaires to students of Amikom Purwokerto University in the MSIB batch 5 in year 2023. The results of this study can provide understanding and predictions about students' interest in the MSIB program based on relevant variables, such as study program, semester, cumulative grade point average (GPA), semester credit system (SKS), and previous work experience. The research results indicate that GPA and Study Program greatly influence students' interest in MSIB. The Naïve Bayes algorithm yielded an accuracy of 0.6875 on the training data and 0.25 on the testing data, with a confusion matrix of (0, 1, 0; 0, 1, 2; 0, 0, 0). Meanwhile, the Support Vector Machine (SVM) algorithm yielded an accuracy of 0.4375 on the training data and 0.75 on the testing data, with a confusion matrix of (0, 1; 0, 3). The machine learning model developed in this study is expected to help predict students interest based on new data provided, thus supporting decision-making in optimizing the MSIB program.
Design of a Sales Performance System for SMEs based on Business Intelligence and Data Warehouse Saputra, Dhanar; Subarkah, Pungkas; Afifah, Erika Luthfi; Muflikhatun, Siti; Ramadani, Nevita Cahaya; Utami, Melida Ratna; Aunillah, Puteri Johar
Indonesian Journal of Data and Science Vol. 3 No. 3 (2022): Indonesian Journal of Data and Science
Publisher : yocto brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijodas.v3i3.58

Abstract

The influence of information technology today is powerful. It impacts people's lives because technological changes are running so fast and affect the way of thinking and behaving in competition in the business world and organizations. Small and Medium Enterprises (SMEs) must be able to adapt to this technology to maintain their business. It means that digitizing SMEs means integrating technology into all business activities. In this study, Toko Cerme is the object of research. The Toko Cerme is a SMEs in the form of a minimarket located in Central Java, Indonesia. The Toko Cerme takes advantage of technology to help run business processes so that they can be managed optimally. In running its business, The Toko Cerme is currently using an information system to input product data and transaction activities. The purpose of this research is to propose a Design of a Sales Performance System based on Business Intelligence and a Data Warehouse to support business processes at the Toko Cerme so that it can efficiently process data and information in the future. From the research that the authors conducted, it can be concluded that the results of this study are the creation of a data warehouse and business intelligence design using the nine steps Kimbal method. At the same time, Pentaho Data Integration (PDI) is a tool. The design is used as a reference in producing information relating to sales transactions.
VTUBER PERSONAS IN DIGITAL WAYANG: A REVIEW OF INNOVATIVE CULTURAL PROMOTION FOR INDONESIAN HERITAGE Hermawan, Hellik; Subarkah, Pungkas; Utomo, Anwar Tri; Ilham, Fatah; Saputra, Dhanar Intan Surya
Jurnal Pilar Nusa Mandiri Vol. 20 No. 2 (2024): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Pe
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v20i2.5921

Abstract

This study investigates the integration of VTuber into Wayang Digital as a strategic initiative to promote Indonesian cultural heritage. By leveraging advanced technologies such as real-time motion capture and artificial intelligence (AI), the project aims to enhance the animation quality and interaction of VTuber, creating a more immersive and engaging experience for audiences. The research focuses on three key aspects: VTuber integration's effectiveness in attracting international audiences, optimizing real-time motion capture for high-quality animation, and applying AI algorithms to create adaptive, responsive interactions between VTubers and their viewers. Through these innovations, the study aims to enrich the narrative and visual appeal of Wayang Digital, making it more accessible and appealing to a diverse global audience. The findings show that integrating advanced technologies enhances Wayang Digital's storytelling, aesthetics, and effectiveness as a powerful tool for cultural promotion. AI-enabled adaptive interactions create a personalized viewer experience, deepening audience connections with the traditional art form. High-quality animation preserves and effectively communicates Wayang's cultural nuances to audiences, enhancing its impact and cultural promotion. This study underscores the importance of continuous technological innovation and strategic implementation in the preservation and globalization of Indonesian heritage through digital media, suggesting that the future of cultural preservation lies in the seamless integration of tradition with cutting-edge technology.
Rekomendasi Restock Barang di Toko Pojok UMKM Menggunakan Algoritma K-Means Clustering Salsabiela, Ayuni; Kuncoro, Adam Prayogo; Subarkah, Pungkas; Arsi, Primandani
Journal of Technology and Informatics (JoTI) Vol. 5 No. 2 (2024): Vol. 5 No.2 (2024)
Publisher : Universitas Dinamika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37802/joti.v5i2.554

Abstract

Toko Pojok ialah toko yang menjual beraneka produk seperti makanan ringan dan minuman. Toko Pojok UMKM dalam pembukuan selama ini masih dilakukan secara manual dengan buku besar baik dalam pencatatan produk masuk maupun penjualan. Pembukuan dilakukan belum tersistem mengakibatkan data menumpuk, sehingga pemilik kesulitan dalam melihat stok yang terjual sehingga pengadaan barang ke supplier ada keterlambatan. Berdasarkan permasalahan tersebut penelitian ini dilakukan untuk merekomendasikan restock produk menggunakan algoritma K-Means dimana pengadaan barang dalam jumlah banyak, sedang dan sedikit. Penelitian ini menggunakan algoritma k-means clustering dengan 3 cluster. Di mana nilai k=3 merupakan nilai cluster terbaik dalam penelitian ini dengan performa dari cluster berdasarkan hasil Davies Bouldin Index sebesar 0.436, di mana cluster 1 ada 9 produk jumlah banyak dan masuk pengadaan barang, cluster 2 ada 19 produk jumlah sedang dan masuk pengadaan barang serta cluster 0 ada 110 produk jumlah sedikit masuk pengadaan barang.
Co-Authors A. Kholil Hidayat Abdallah, Muhammad Marshal Adam Prayogo Kuncoro Adam Prayogo Kuncoro Adam Prayogo Kuncoro Adhimah, Laily Farkhah Aditya Permana, Reza Afifah, Erika Luthfi Akhmad Mustolih Ali Nur Ikhsan Alif Nur Fadilah Alifah Dafa Iftinani Alifian , Raditya Sani Alya Khansa Dzakkiyah Amin, M. Syaiful Amira Aida Rashifa Anggi Tri Dewi Septiani Anggraeni, Eling Sekar Anggraeni, Epri Anggraini, Nova Anshari, Muhammad Rifqi Anunggilarso, Luky Rafi Arbangi Puput Sabaniyah Arief Rachman Hakim Arsi, Primandani Astrida, Deuis Nur Aunillah, Puteri Johar Awal Rozaq, Hasri Akbar Awali, Uston Azhar Andika Putra Azhari Shouni Barkah Azizan Nurhakim Azzahra, Delia Oktaviana Bagus Adhi Kusuma Bagus Adhi Kusuma Baihaqi, Wiga Maulana Bryan Jerremia Katiandhago Budi Utami, Dias Ayu Busyro, Muhammad Chendri Irawan Satrio Nugroho Chyntia Raras Ajeng Widiawati Cindy Magnolia Damayanti, Aulia Shafira Tri Damayanti, Wenti Risma Darmo, Cahyo Pambudi Dava Patria Utama Dermawan, Riky Dimas Desi Riyanti Dewi Fortuna Dhanar Intan Surya Saputra Dias Ayu Budi Utami Dias Ayu Budi Utami, Dias Ayu Budi Didit Suhartono Dwi Krisbiantoro, Dwi Dwi Putra, Ruly Niko Elistiana, Khoerotul Melina Enggar Pri Pambudi Fadilah, Alif Nur Fandy Setyo Utomo Faridatun Nida Farizi, Amar Al Fiby Nur Afiana Fiby Nur Afiana Firmanda, Reza Arief Fitriya Maharani, Lulu Amnah Gina Cahya Utami Harun Alrasyid Hellik Hermawan Hendra Marcos Hendra Marcos, Hendra Hidayah, Debby Ummul hidayatulloh, hanif Ikhsan, Ali Nur Ilham, Fatah Iphang Prayoga Irfan Santiko Irma Damayanti Irma Darmayanti Isnaini, Khairunnisak Nur Isnaini, Khairunnisak Nur Jali Suhaman Katiandhago, Bryan Jerremia Khoerida, Nur Isnaeni Khofiyah, Salma Ngarifatul Kholifah Dwi Prasetyo Kartika, Nur Kisma, Atmaja Jalu Narendra Kusuma, Bagus Adhi Kusuma, Velizha Sandy Latifah Adi Triana Lestari, Tri Endah Widi Lestari, Vika Febri Luki Rafi Anuggilarso Maharani Kusuma Dewi Marlita, Reva Merliani, Nanda Nurisya Mohammad Imron Mohd Sanusi Azmi Muflikhatun, Siti Muhammad Marshal Abdallah Muhammad Ma’ruf Muhammad Rifqi Anshari Mustolih, Akhmad Nanda Nurisya Merliani Nandang Hermanto Nandang Hermanto Nasar Ghanim, Nadif Neta Tri Widiawati Nikmah Trinarsih Nur Hidayah, Septi Oktaviani Nur Isnaeni Khoerida Nuraini , Rema Sekar Nurul Hidayati Pramudya, Reyvaldo Shiva Prasetya, Eko Budi Prasetyo Kartika, Nur Kholifah Dwi Prastyadi Wibawa Rahayu Prastyadi Wibawa Rahayu Prayoga, Iphang Primandani Arsi Primandani Arsi Pritama, Argiyan Dwi Purba, Mariana Purwadi Ragil Wilujeng Ramadani, Nevita Cahaya Ranggi Praharaningtyas Aji Ratih Anggraeni Rayinda Maya Anjani Reza Aditya Permana Reza Aditya Permana Reza Arief Firmanda Riandini, Dini Riyanto Riyanto Riyanto Riyanto Riyanto Riyanto Rizki Sadewo Rizki Wahyudi Rofiqoh, Dayana Rohman, M. Abdul Romadoni, Nova Salma Rosana Fadilla Sari Rujianto Eko Saputro Sabaniyah, Arbangi Puput Sadewo, Rizki Salma Ngarifatul Khofiyah Salsabiela, Ayuni Sandy Kusuma, Velizha Saputra, Dhanar Sari, Rida Purnama Sarmini Sarmini Satrio Nugroho, Chendri Irawan Sekhudin Sekhudin Selamat, Siti Rahayu Septi Oktaviani Nur Hidayah Septi Oktaviani Nur Hidayah Septiana Putri, Refida Sholikhatin, Siti Alvi SITI ALVI SHOLIKHATIN Siti Alvi Solikhatin Siti Alvi Solikhatin Sugiarti Sugiarti Suhaman, Jali Susanto, Wachyu Dwi Syabani, Amin Syamsiar, Syamsiar Tarwoto, Tarwoto Tri Astuti Trian Damai Triana, Latifah Adi Tripustikasari, Eka Tripustikasari Umma, Rofiqul Utami, Melida Ratna Utomo, Anwar Tri V, Jay Wachyu Dwi Susanto Wahyu, Herta Tri Wanda Fitrianingsih Wenti Risma Damayanti Wenti Risma Damayanti Widiawati, Neta Tri Yuli Purwati Yunita, Ika Romadhoni Yunita, Ika Romadoni