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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 Algoritma Jurnal Pengabdian Mitra Masyarakat (JPMM) JOMPA ABDI: Jurnal Pengabdian Masyarakat Digital Transformation Technology (Digitech) ABDINE Jurnal Pengabdian Masyarakat Journal of Multimedia Trend and Technology Journal of Artificial Intelligence and Digital Business 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
Pungkas Subarkah
Universitas Amikom Purwokerto
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PELATIHAN KODING SEBAGAI UPAYA MENINGKATKAN COMPUTATIONAL THINKING SISWA Irma Darmayanti; Nandang Hermanto; Pungkas Subarkah
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 7, No 2 (2023): June
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v7i2.14860

Abstract

ABSTRAKSemakin maju suatu teknologi tentunya memberikan pengaruh yang besar pula pada berbagai bidang. Salah satu pengaruh negatif dari revolusi industri keempat ini adalah potensi pengurangan karyawan yang disebabkan oleh otomatisasi. Jadi, untuk memerangi pengaruh negatif dari pertumbuhan teknologi sangat penting untuk mempersiapkan dan mengembangkan sumber daya manusia dari sudut pandang IPTEK sejak dini. Computational thinking merupakan salah satu kemampuan yang paling penting di era revolusi industri keempat. SMP Telkom Purwokerto sebagai sekolah unggulan yang memadukan IPTEK dalam desain pembelajarannya. Namun, dari hasil observasi yang dilakukan disekolah, 140 siswa belum terlatih computational thinking ditimbulkan oleh kurangnya kesempatan dan sumber daya untuk mempelajari computational thinking, serta kurangnya penekanan kurikulum pada pengembangan kemampuan computational thinking. Oleh karena itu, pelatihan koding atau programming menjadi solusi untuk mengembangkan computational thinking siswa SMP Telkom Purwokerto. Pelatihan koding dilakukan dengan software MIT App Inventor. Hasilnya,  92% siswa menyebutkan MIT App Inventor memberikan pembelajaran koding yang menarik serta 88% siswa sepakat bahwa MIT App Inventor mudah dipahami dan siswapun dapat menerapkannya untuk membuat permainan-permainan sederhana di smartphone. Siswa pun menunjukan ketertarikannya terhadap pengkodingan, yang mana belajar koding secara tidak langsung menumbuhkan daya nalar siswa dan menumbuhkan kemampuan siswa dalam memecahkan permasalahan. Kata kunci: koding; computational thinking; pelatihan; MIT app inventor. ABSTRACTThe more advanced a technology is, of course, it also has a great influence on various fields. One of the negative effects of this fourth industrial revolution is the potential for employee attrition caused by automation. So, to combat the negative effects of technological growth, it is very important to prepare and develop human resources from the point of view of science and technology early on. Computational thinking is one of the most important skills in the fourth industrial revolution. SMP Telkom Purwokerto as a leading school that integrates science and technology in its learning design. However, from the observations made at school, 140 students have not been trained in computational thinking is caused by the lack of opportunities and resources to learn computational thinking, as well as the lack of curriculum emphasis on developing computational thinking skills. Therefore, coding or programming training is a solution to develop computational thinking of Telkom Purwokerto Junior High School students. Coding training is conducted with MIT App Inventor software. As a result, 92% of students mentioned that MIT App Inventor provides interesting coding learning and 88% of students agreed that MIT App Inventor is easy to understand and students can apply it to make simple games on smartphones. Students also show their interest in coding, which learning coding indirectly fosters students' reasoning power and fosters students' ability to solve problems. Keywords: coding; computational thinking; training; MIT app inventor.
PELATIHAN PEMBUATAN WEBSITE BAGI PERANGKAT DESA DAN KARANG TARUNA UNTUK DIGITALISASI DESA KARANGSALAM LOR BANYUMAS Nandang Hermanto; Pungkas Subarkah; Alya Khansa Dzakkiyah; Ragil Wilujeng
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 7, No 2 (2023): June
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v7i2.14823

Abstract

ABSTRAKTujuan pelaksanaan pengabdian ini untuk meningkatkan penguasaan teknologi informasi khususnya digitalisasi desa yaitu dalam pembuatan website bagi perangkat desa dan karang taruna di desa Karangsalam Lor sehingga perangkat desa maupun anggota karang taruna dapat membuat website yang sesuai dengan kebutuhan mereka. Metode yang digunakan pada pengabdian menggunakan Participatory Action Research (PAR). PAR merupakan salah satu pendekatan yang mengombinasikan antara penelitian dengan tindakan yang berkelanjutan. Hasil pengabdian ini adalah kegiatan pelatihan ini ditujukan bagi perangkat desa dan angota karang taruna dapat membuat sendiri aplikasi web yang dibutuhkan untuk mendukung kelancaran pekerjaan yang ada di  desa karang tengah maupun karang taruna, dan dalam pembuatan website diharapkan lebih optimal dan menarik untuk pelayanan desa.Dalam pembuatan website, perangkat desa dan karangtaruna berhasil membuatnya dengan capaian 100% dengan website sederhana. Kata kunci: pelatihan; website; digitalisasi; desa. ABSTRACTThe purpose of implementing this service is to increase mastery of information technology, especially village digitization, namely in making websites for village officials and youth organizations in Karangsalam Lor village so that village officials and youth youth members can create websites that suit their needs. The method used in the service uses Participatory Action Research (PAR). PAR is an approach that combines research with ongoing action. The results of this service are training activities aimed at village officials and youth youth members who can create their own web applications needed to support the smooth running of existing work in Karang Tengah and Karang Taruna villages, and in making websites it is hoped that they will be more optimal and attractive for village services. making a website, village officials and Karangtaruna managed to make it 100% with a simple website. Keywords: training; website; digitalization; village.
Detection of Indonesian Food to Estimate Nutritional Information Using YOLOv5 Gina Cahya Utami; Chyntia Raras Widiawati; Pungkas Subarkah
Teknika Vol 12 No 2 (2023): Juli 2023
Publisher : Center for Research and Community Service, Institut Informatika Indonesia (IKADO) Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34148/teknika.v12i2.636

Abstract

Currently, the development of online food delivery service applications is very popular. The application offers convenience in finding and fulfilling food needs. That circumstance has an impact such as not controlling the type and amount of food consumed. Therefore, to maintain a healthy lifestyle, people need to eat healthy and nutritious food. The goal of this research is to build a model using the YOLOv5 model that can detect images of Indonesian food so that nutritional estimation can then be carried out by taking information per serving data sourced from the FatSecret Indonesia website. The methods of this research include data collection, data pre-processing, training, testing, evaluation, image detection, and model export. The outcome of this research is an object detection model that is ready to be implemented in android applications or websites to detect images of Indonesian food which can be estimated for each nutrient. Based on the detection results, 98.6% for an average of a curacy, 95% for precision, 95.3% for recall, and 95% for F1-Score were obtained. The results of the detection are then used to estimate nutrition by taking information per portion from the FatSecret Indonesia website. From the experiments that were carried out on seven pictures of Indonesian food, the estimation was carried out well by displaying various nutritional information including energy, protein, fat, and carbohydrates.
SENTIMENT ANALYSIS ON REVIEWS OF WOMEN'S TOPS ON SHOPEE MARKETPLACE USING NAIVE BAYES ALGORITHM Pungkas Subarkah; Prastyadi Wibawa Rahayu; Irma Darmayanti; Riyanto Riyanto
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 9 No. 1 (2023): JITK Issue August 2023
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v9i1.4179

Abstract

Reviews of women's tops in the market are valuable information if processed properly. Merchants can conduct product review analysis to obtain information that can be used to evaluate products and services. Product review analysis activities are not enough just to see the number of stars, it is necessary to see the entire content of the review comments to be able to know the intent of the review. Sentiment analysis system is a system used to automatically analyze online product reviews to obtain information including sentiment information that is part of online reviews. The data is classified using Naive Bayes. The data collected were 1,000 product reviews of women's tops as samples. The purpose of this study is to determine the sentiment analysis of female top product reviews using the Naive Bayes algorithm. The stages of this research include data collection, labeling, pre-processing, sentiment classification, and evaluation. In the pre-processing stage there are 6 stages, namely Cleaning emoticons & symbols, Case folding, Word Normalizer, Tokenize, Stopword Removal and Stemming. TF-IDF (Term Frequency - Inverse Document Frequency) method is used for word weighting. The data will be classified into 3 (three) classes, namely negative, positive and neutral. The data will then be evaluated using accuracy parameter testing. The test results show an accuracy value of 89%, this result shows that the product reviews of women's tops are more positive.
Sentiment Analysis Motorku X Using Applications Naive Bayes Classifier Method Akhmad Mustolih; Primandani Arsi; Pungkas Subarkah
Indonesian Journal of Artificial Intelligence and Data Mining Vol 6, No 2 (2023): September 2023
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v6i2.24864

Abstract

The rapid development of technology has brought convenience to humans in their daily lives. The continuously evolving technology generates large amounts of data. Data can provide valuable information if processed effectively. The Motorku X application is one of the innovations created by Astra Motor to facilitate consumers or potential customers in servicing and purchasing motorcycles. The Motorku X application generates review data every day. These review data can be utilized for future application development. To make the most of the reviews, sentiment analysis is one of the techniques used to process the review data. Sentiment analysis is a method to measure consumer sentiments in terms of positive or negative reviews. The algorithm used in this research is the Naïve Bayes classifier. One of the advantages of Naïve Bayes is its ability to work quickly and efficiently in terms of computational time. The research consists of several stages: data collection, data labeling, pre-processing, data splitting, tf-idf weighting, implementation of Naïve Bayes classifier, and evaluation of the results. The data comprises 1000 reviews divided into two classes: positive class (number) and negative class (number). The research was conducted with three scenarios of training and testing data sharing: 90%:10%, 80%:20%, and 70%:30%. The best results were achieved with the 90%:10% ratio, with an accuracy of 76%, precision of 76%, and recall of 97%.
Pelatihan Dan Pendampingan Mendesain Penulisan Artikel Ilmiah Berbasis Teknologi Informasi Menggunakan Trello Bagi Guru Pungkas Subarkah; Primandani Arsi; Septi Oktaviani Nur Hidayah; Arbangi Puput Sabaniyah
Society : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol. 4 No. 1 (2023): Vol.4 No.1, October 2023
Publisher : Universitas Dinamika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37802/society.v4i1.416

Abstract

Dalam menciptakan Sumber Daya Manusia (SDM) yang unggul di lingkungan salah satunya dengan meningkatkan kemampuan dan keahlian guna mewujudkan guru yang berkualitas di Indonesia. Salah satunya dengan memberikan pelatihan menulis.  Tujuan pelatihan dan pendampingan ini ialah untuk meningkatkan kompetensi para guru SMA Negeri Wangon dalam mendesain artikel ilmiah menggunakan Trello. Metode dalam pelatihan ini meliputi persiapan kegiatan, pelaksanaan kegiatan dan evaluasi kegiatan. Pelaksanaan dilakukan pada hari Rabu, 05 Juli 2023, dengan jumlah peserta sejumlah 30 guru. Hasil pelatihan ini yaitu pengetahuan dan pendampingan penggunaan Trello semakin meningkat dibuktikan dengan evaluasi peserta pelatihan 92% peserta pelatihan merasakan peningkatan kemampuan tentang mendesain artikel ilmiah agar lebih terstruktur dalam menyusun artikel ilmiah  serta dapat digunakan sebagai penunjang bapak dan ibu guru serta menjadi portofolio seorang guru.
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.
Co-Authors A. Kholil Hidayat Abdallah, Muhammad Marshal Abdul Azis 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 Aulia Dian Agustina Aunillah, Puteri Johar Awal Rozaq, Hasri Akbar Awali, Uston Azhar Andika Putra Azhari Shouni Barkah Azizan Nurhakim Azmi, Mohd Sanusi Azzahra, Delia Oktaviana Bagus Adhi Kusuma Bagus Adhi Kusuma Baihaqi, Wiga Maulana Bibit Raikhan Azzaki 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 Ika Romadoni Yunita 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 Ma’ruf, Muhammad Merliani, Nanda Nurisya Mohammad Imron Muflikhatun, Siti Muhammad Marshal Abdallah Muhammad Rifqi Anshari Mustolih, Akhmad Nanda Nurisya Merliani Nandang Hermanto Nandang Hermanto Nasar Ghanim, Nadif Neta Tri Widiawati Nida, Faridatun Nikmah Trinarsih Nur Hidayah, Septi Oktaviani Nur Isnaeni Khoerida Nuraini , Rema Sekar Nurul Hidayati Permana, Reza Aditya 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 Ratih Anggraeni Rayinda Maya Anjani Reza Aditya Permana Reza Arief Firmanda Riandini, Dini Riyanto 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 Septi Oktaviani Nur Hidayah Septi Oktaviani Nur Hidayah Septiana Putri, Refida Sholikhatin, Siti Alvi SITI ALVI SHOLIKHATIN Siti Alvi Solikhatin Siti Alvi Solikhatin Siti Rahayu Selamat Sugiarti Sugiarti Suhaman, Jali Susanto, Wachyu Dwi Syabani, Amin Syamsiar, Syamsiar Tarwoto, Tarwoto Tri Astuti Trian Damai Triana, Latifah Adi Tripustikasari, Eka Tripustikasari Triyo Ginanjar Pamungkas 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 Yofi Yulianto Yuli Purwati Yunita, Ika Romadhoni Yunita, Ika Romadoni