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All Journal Jurnal Sains dan Teknologi Jurnas Nasional Teknologi dan Sistem Informasi CogITo Smart Journal Indonesian Journal of Artificial Intelligence and Data Mining JITK (Jurnal Ilmu Pengetahuan dan Komputer) JMM (Jurnal Masyarakat Mandiri) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan ILKOM Jurnal Ilmiah DoubleClick : Journal of Computer and Information Technology MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JURTEKSI Jurnal Pengabdian Kepada Masyarakat MEMBANGUN NEGERI Seminar Nasional Teknologi Informasi Komunikasi dan Administrasi [SEMINASTIKA] Scientific Journal of Informatics JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat) IJIIS: International Journal of Informatics and Information Systems JPMB: Jurnal Pemberdayaan Masyarakat Berkarakter Journal of Computer Networks, Architecture and High Performance Computing Teknika Society : Jurnal Pengabdian dan Pemberdayaan Masyarakat TIERS Information Technology Journal Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer (JURITEK) Jurnal Pengabdian Mitra Masyarakat (JPMM) Jurnal Krisnadana Prosiding Seminar Nasional Pemberdayaan Masyarakat (SENDAMAS)
Pungkas Subarkah
Universitas Amikom Purwokerto
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Pelatihan dan Sosialisasi Aplikasi Kentongan untuk Komunikasi Digital Warga di Desa Kutasari Baturraden Kabupaten Banyumas Hendra Marcos; Pungkas Subarkah; Ali Nur Ikhsan
Jurnal Pengabdian Mitra Masyarakat (JPMM) Vol 2, No 1: April 2020
Publisher : Universitas Amikom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (578.799 KB) | DOI: 10.35671/jpmm.v2i1.947

Abstract

Perkembangan teknologi informasi membuat setiap orang siap tidak siap dan mau tidak mau akan menghadapi berbagai perubahan teknologi. Teknologi mampu merubah segala hal yang tak bisa tersentuh menjadi terjamah. Modernisasi mencakup banyak bidang, contohnya dalam bidang ilmu pengetahuan dan teknologi. Di zaman modernisasi seperti sekarang, manusia sangat bergantung pada teknologi. Kumpulan rukun tetangga (RT) yang diadakan setiap bulan digunakan untuk sarana pelaporan antar warga, diantaranya laporan kegiatan RT, laporan kas RT, gotong royong, kematian dan kelahiran warga, warga pindahan/baru, dan lain sebagainya. RT 01 RW 03 desa Kutasari merupakan daerah yang cukup padat warganya. metode alih teknologi yang dimaksud disini yaitu transfer ilmu serta memberikan pelatihan dan sosialisasi warga melek teknologi digital untuk memudahkan komunikasi antar warga dan pelaporan dana warga. Hasil dalam penelitian ini yaitu adanya peningkatan pemahaman warga akan hadirnya sebuah teknologi khususnya  bagi masyarakat di desa Kutasari.
PELATIHAN WEB PROGRAMMING SEBAGAI UPAYA MENGEMBANGKAN KEMAMPUAN LITERASI PADA GENERASI Z Irma Darmayanti; Pungkas Subarkah; Wanda Fitrianingsih; Rizki Sadewo
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 6, No 3 (2022): September
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v6i3.10144

Abstract

ABSTRAKDampak pandemik yang mengharuskan Gen  Z belajar secara daring lebih banyak menguntungkan generasi  Z untuk bisa mengeksplor kemampuan di bidang teknologi dan mendapatkan bahan ajar lebih banyak dari yang diberikan oleh guru, namun realita yang ada sebagian besar Gen Z lebih mudah merasa bosan dan demotivasi sehingga mereka lebih tertarik pada hal-hal lain yang menarik, seperti: mebuka whatsApp, media sosial dan melihat  informasi lain yang tidak ada hubungannya dengan materi. Banyak kegiatan yang diselenggarakan Sekolah, sebagai wujud terselenggaranya Gerakan Literasi Sekolah (GLS), salah satunya di SMP Muhammadiyah 1 Purwokerto. Namun, di era New Normal ini kegiatan terkait literasi belum berjalan efektif dikarenakan ketertarikan siswa terhadap kegiatan tersebut sudah menurun. Melihat ketertarikan Gen Z terhadap teknologi cukup tinggi, maka tim pengabdi mengadakan inovasi untuk mengadakan pelatihan Web Programming untuk siswa kelas X, sebagai upaya dalam meningkatkan kemampuan kreativitas dan literasi siswa serta meningkatkan keterampilan siswa dibidang IT. Metode  yang dilakukan dalam pengabdian ini menggunakan model pendampingan dengan proses  pembelajaran yang melibatkan siswa secara langsung sedangkan guru sebagai moderator. Dari kegiatan yang telah dilaksanakan siswa menjadi pengguna aktif teknologi, yang mana mereka mendapatkan manfaat dari informasi-informasi yang disajikan di internet dan kemudian mereka olah serta kembangkan untuk menyajikan informasi-informasi yang akan dimanfaatkan oleh pengguna konten digital lainnya. Kegiatan ini cukup efektif dilakukan terlihat dari antusiasme siswa dan tanggapan siswa yang menginginkan kegiatan ini dapat diadakan kembali. Kata kunci: web; programming; literasi; gen Z. ABSTRACTThe impact of the pandemic that requires Gen Z to study online is more profitable for Generation Z to be able to explore capabilities in the field of technology and get more teaching materials than the teacher provides, but the reality is that most Gen Z are more easily bored and demotivated so they are more interested on other things of interest, such as: opening WhatsApp, social media and viewing other information that has nothing to do with the material. Many activities are organized by the school, as a form of the implementation of the School Literacy Movement (GLS), one of which is at SMP Muhammadiyah 1 Purwokerto. However, in this New Normal era, literacy-related activities have not been effective because students' interest in these activities has decreased. Seeing that Gen Z's interest in technology is quite high, the service team innovates to conduct Web Programming training for Class X students, as an effort to improve students 'creativity and literacy skills and improve students' skills in the field of IT. The method carried out in this service uses a mentoring model with a learning process that involves students directly while the teacher as a moderator. From the activities that have been carried out, students become active users of technology, where they benefit from the information presented on the internet and then they process and develop it to present information that will be utilized by other digital content users. This activity is quite effective, it can be seen from the enthusiasm of students and the responses of students who want this activity to be held again. Keywords: web; programming; literacy; gen Z.
Sentiment analysis of customer satisfaction levels on smartphone products using Ensemble Learning Muhammad Ma’ruf; Adam Prayogo Kuncoro; Pungkas Subarkah; Faridatun Nida
ILKOM Jurnal Ilmiah Vol 14, No 3 (2022)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v14i3.1377.339-347

Abstract

Increasingly sophisticated technological developments create new ways for people to conduct trading business. An example of this technology application is the use of e-commerce. However, there are conditions where the seller cannot measure the level of satisfaction and identify problems experienced by his customers if it is only based on the rating as the case in smartphones transactions. Therefore, a solution is needed to create a system that can filter negative and positive comments. This study offers a solution to address this issue by using machine learning employing the K-Nearest Neighbors, SVM, and Naive Bayes algorithms with hyperparameters from previous studies. This study applied the ensemble learning method with the Voting Classifier technique, which is an algorithm to combine several algorithms that have been made. From the test results, the highest accuracy was obtained by SVM with an accuracy value of 91.18% while the ensemble learning method obtained an accuracy value of 89.22%. The difference in the accuracy of training and testing for SVM and ensemble learning method is 7.1% and 4% respectively. These results indicate that the ensemble learning method can help improve the performance of sentiment analysis algorithms for comments on smartphone products.
Comparison of correlated algorithm accuracy Naive Bayes Classifier and Naive Bayes Classifier for heart failure classification Pungkas Subarkah; Wenti Risma Damayanti; Reza Aditya Permana
ILKOM Jurnal Ilmiah Vol 14, No 2 (2022)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v14i2.1148.120-125

Abstract

Heart failure (ARF) is a health problem that has relatively high mortality and morbidity rates in developed or developing countries, including Indonesia. In 2016, WHO stated that 17.5 million people died from cardiovascular disease, while in 2008, HF disease represented 31% of patient deaths worldwide. One of the new breakthroughs for early diagnosis is utilizing data mining techniques. In this study, the Correlated Naive Bayes Classifier (C-NBC) and Naive Bayes Classifier (NBC) algorithms are used to obtaining the best accuracy results so that they can be used for the Heart Failure dataset. Based on the results of the tests that have been carried out, it shows that the Correlated Naive Bayes Classifier (C-NBC) algorithm accuracy of 80.6% obtains higher accuracy than the Naive Bayes Classifier (NBC) algorithm of 67.5%. With the results of this study, the use of the Correlated Naive Bayes Classifier (C-NBC) algorithm can be used to diagnose patients with heart failure (heart failure) because it has a high level of accuracy and is categorized as Good Classification.
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.
Co-Authors A. Kholil Hidayat Abdallah, Muhammad Marshal Adam Prayogo Kuncoro Adam Prayogo Kuncoro Akhmad Mustolih Ali Nur Ikhsan Alya Khansa Dzakkiyah Amira Aida Rashifa Anggi Tri Dewi Septiani Anunggilarso, Luky Rafi Arbangi Puput Sabaniyah Azizan Nurhakim Bagus Adhi Kusuma Bryan Jerremia Katiandhago Budi Utami, Dias Ayu Chendri Irawan Satrio Nugroho Chyntia Raras Ajeng Widiawati Cindy Magnolia Dava Patria Utama Dewi Fortuna Dias Ayu Budi Utami Didit Suhartono Dwi Putra, Ruly Niko Enggar Pri Pambudi Fandy Setyo Utomo Faridatun Nida Fiby Nur Afiana Gina Cahya Utami Harun Alrasyid Hendra Marcos Hidayah, Debby Ummul Ikhsan, Ali Nur Irfan Santiko Irma Darmayanti Isnaini, Khairunnisak Nur Isnaini, Khairunnisak Nur Jali Suhaman Latifah Adi Triana Luki Rafi Anuggilarso Maharani Kusuma Dewi Mohd Sanusi Azmi Muhammad Marshal Abdallah Muhammad Ma’ruf Muhammad Rifqi Anshari Nanda Nurisya Merliani Nandang Hermanto Neta Tri Widiawati Nikmah Trinarsih Nur Hidayah, Septi Oktaviani Nur Isnaeni Khoerida Prastyadi Wibawa Rahayu Primandani Arsi Ragil Wilujeng Rayinda Maya Anjani Reza Aditya Permana Reza Aditya Permana Reza Arief Firmanda Riyanto Riyanto Riyanto Riyanto Rizki Sadewo Rosana Fadilla Sari Rujianto Eko Saputro Salma Ngarifatul Khofiyah Sekhudin Sekhudin Septi Oktaviani Nur Hidayah Septi Oktaviani Nur Hidayah Sholikhatin, Siti Alvi SITI ALVI SHOLIKHATIN Siti Alvi Solikhatin Siti Alvi Solikhatin Suhaman, Jali Trian Damai Tripustikasari, Eka Tripustikasari Wachyu Dwi Susanto Wanda Fitrianingsih Wenti Risma Damayanti Wenti Risma Damayanti Yuli Purwati