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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
Pungkas Subarkah
Universitas Amikom Purwokerto
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PELATIHAN DAN PENDAMPINGAN PENGEMBANGAN SOAL UJIAN BERBASIS TEKNOLOGI INFORMASI MENGGUNAKAN WONDERSHARE QUIZ CREATOR BAGI GURU Pungkas Subarkah; Wenti Risma Damayanti; Reza Aditya Permana
JMM (Jurnal Masyarakat Mandiri) Vol 6, No 5 (2022): Oktober
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v6i5.10117

Abstract

Abstrak: Tujuan dari pelatihan penggunaan pengembangan soal ujian berbasis informasi menggunakan software Wondershare Quiz Creator ialah untuk meningkatkan pemahaman dan kemampuan para guru menggunakan software Wondershare Quiz Creator guna membuat soal ujian atau assesment berbasis teknologi informasi. Kegiatan ini dilaksanakan di SMA Negeri 1 Wangon, Kecamatan Kelapagading Kulon, Desa Wangon Kabupaten Banyumas. Kegiatan pelatihan ini guru yang mengikuti sejumlah 36 peserta. Metode pengabdian masyarakat yaitu metode workshop. Metode ini terdiri dari 3 tahap yaitu, persiapan, pelaksanaan dan evaluasi. Hasil kegiatan ini adalah para guru atau peserta pelatihan dapat mengikuti pelatihan dengan baik, dengan menguasai materi selama pelatihan berlangsung dan peningkatan kemampuan guru dalam penggunaan software Wondershare Quiz Creator yang berguna untuk pembuatan soal ujian atau assesment berbasis teknologi informasi bagi siswa. Dan hasil yang didapatkan dari pelatihan ini yaitu peningkatan kemampuan guru dalam penggunaan software Wondershare Quiz Creator bagi para guru rata-rata sebesar 22,59% selama mengikut kegiatan ini.Abstract: The purpose of training in the use of information-based exam development using Wondershare Quiz Creator software is to improve the understanding and ability of teachers to use Wondershare Quiz Creator software to create information technology-based exam questions or assessments. This activity was carried out at SMA Negeri 1 Wangon, Kelapagading Kulon District, Wangon Village, Banyumas Regency. This activity was a teacher who attended a total of 36 training participants. The community service method is the workshop method. This method consists of 3 stages, namely, preparation, implementation and evaluation. The result of this activity is that teachers or trainees can take part in the training well, by mastering the material during the training and improving the teacher's ability to use Wondershare Quiz Creator software which is useful for making exam questions or information technology-based assessments for students. And the results obtained from this training are an increase in the ability of teachers to use Wondershare Quiz Creator software for teachers by an average of 22.59% during participating in this activity.
Prediction of Education Level in Population Data Using Naïve Bayes Algorithm Pungkas Subarkah; Siti Alvi Solikhatin; Irma Darmayanti; Ali Nur Ikhsan; Debby Ummul Hidayah; Rayinda Maya Anjani
TIERS Information Technology Journal Vol. 3 No. 2 (2022)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v3i2.3865

Abstract

Education is the key to improving human resources. The Ministry of National Education is implementing a curriculum that requires students to study it (MoNE) and as part of this program, all Indonesian citizens are required to attend three years of primary education, which includes SD, MI/Equivalent, three years for SMP/Equivalent, and three years for high school/equivalent level. This study aims to determine whether or not a government program that requires Indonesian citizens to study for 12 years is required, therefore it is necessary to test predictions of data on the level of education in Blitar Regency. This study conducted a prediction test by implementing the Naive Bayes algorithm on education-level data in Blitar Regency as of 2020 which was taken from the satudata.go.id website. In the data processing, there are values of precision, recall, f-measure, Weighted Avg, and also Confusion Matrix. The accuracy results of the Naive Bayes Algorithm on education level data in Blitar district show that the district has implemented government policies regarding the 12-year compulsory education program, this is based on the results of data processing which shows an accuracy value of 98.4848% and category good classification.
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.
Analisis Sentimen Game Genshin Impact pada Play Store Menggunakan Naïve Bayes Clasifier Primandani Arsi; Pungkas Subarkah; Bagus Adhi Kusuma
Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer Vol 3 No 1 (2023): Maret, Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer
Publisher : Sekolah Tinggi Ilmu Ekonomi Trianandra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/juritek.v3i1.1962

Abstract

Online games are an entertainment medium that cannot be separated from some groups of people, especially during the co-19 pandemic. The existence of a policy of violence reduces the interaction of people in the world, including in Indonesia, resulting in an increase in online activity, especially playing games. Game is an interesting online gaming platform, where players can still interact socially boldly. Genshin Impact is a mobile game that provides other platforms such as PC, PlayStation and Nintendo Switch. Although some people like this game, others are not satisfied with the game play. Sentiment analysis is also very useful when game developers want to know what users think about the game experience. This research aims to build a model of the classification of reviews on the Genshin Impact game available on the Google Play platform, so that the resulting model can provide recommendations for developers for improvement. The results obtained are reviews on the Google Play Store tend to be positive with an accuracy score of 87%, precision of 67%, memory of 98%, and f1 score of 67%. Evaluation is done by comparing the model that has been obtained in this study with the previous model with the same algorithm.
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%.
Rectified Linear Units and Adaptive Moment Estimation Optimizer on ANN with Saved Model Prediction to Improve The Stock Price Prediction Framework Performance Sekhudin Sekhudin; Yuli Purwati; Fandy Setyo Utomo; Mohd Sanusi Azmi; Pungkas Subarkah
ILKOM Jurnal Ilmiah Vol 15, No 2 (2023)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v15i2.1586.271-282

Abstract

A stock is a high-risk, high-return investment product. Prediction is one way to minimize risk by estimating future prices based on past data. There are limitations to solving the stock prediction problem from previous research: limited stock data, practical aspects of application, and less than optimal stock price prediction results. The main objective of this study is to improve the prediction performance by formulating and developing the stock price prediction framework. Furthermore, the research provides a stock price prediction framework that can produce better prediction results than the previous study with fast computation time. The proposed framework deals with data generation, pre-processing and model prediction. In further, the proposed framework includes two prediction methods for predicting stock closing prices: stored model prediction and current model prediction. This study uses an artificial neural network with Rectified Linear Units as an activation function and Adam Optimizer to predict stock prices. The model we have built for each forecasting method shows a better MAPE value than the model in previous studies. Previous research showed that the lowest MAPE was 1.38% for TLKM shares and 0.81% for BBRI. Our proposed framework based on the stored model prediction method shows a MAPE value of 0.67% for TLKM shares and 0.42% for BBRI. While the current model prediction method shows a MAPE value of 0.69% for TLKM shares and 0.89% for BBRI. Furthermore, the stored model prediction method takes 1.0 seconds to process a single prediction request, while the current model prediction takes 220 seconds.
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.
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