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All Journal Journal on Mathematics Education (JME) Register: Jurnal Ilmiah Teknologi Sistem Informasi Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta Knowledge Engineering and Data Science Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Indonesian Journal of Information System International Journal of Technology And Business Martabe : Jurnal Pengabdian Kepada Masyarakat Kontribusia : Research Dissemination for Community Development Jatilima : Jurnal Multimedia Dan Teknologi Informasi Didaktika: Jurnal Pemikiran Pendidikan Jurnal Sosial dan Teknologi Jurnal Inovatif Wira Wacana Router : Jurnal Teknik Informatika dan Terapan Repeater: Publikasi Teknik Informatika dan Jaringan Teknofile, Jurnal Sistem Informasi
Deni Sutaji
Teknik Informatika, Universitas Muhammadiyah Gresik
Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Other

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Segmentasi Pembuluh Darah Retina Pada Citra Fundus Menggunakan Gradient Based Adaptive Thresholding Dan Region Growing Sutaji, Deni; Fatichah, Chastine; Navastara, Dini Adni
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 2, No 2 (2016): Juli-Desember
Publisher : Prodi Sistem Informasi - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1012.173 KB) | DOI: 10.26594/register.v2i2.553

Abstract

 Segmentasi pembuluh darah pada citra fundus retina menjadi hal yang substansial dalam dunia kedokteran, karena dapat digunakan untuk mendeteksi penyakit, seperti: diabetic retinopathy, hypertension, dan cardiovascular. Dokter membutuhkan waktu sekitar dua jam untuk mendeteksi pembuluh darah retina, sehingga diperlukan metode yang dapat membantu screening agar lebih cepat.Penelitian sebelumnya mampu melakukan segmentasi pembuluh darah yang sensitif terhadap variasi ukuran lebar pembuluh darah namun masih terjadi over-segmentasi pada area patologi. Oleh karena itu, penelitian ini bertujuan untuk mengembangkan metode segmentasi pembuluh darah pada citra fundus retina yang dapat mengurangi over-segmentasi pada area patologi menggunakan Gradient Based Adaptive Thresholding dan Region Growing.Metode yang diusulkan terdiri dari 3 tahap, yaitu segmentasi pembuluh darah utama, deteksi area patologi dan segmentasi pembuluh darah tipis. Tahap segmentasi pembuluh darah utama menggunakan high-pass filtering dan tophat reconstruction pada kanal hijau citra yang sudah diperbaiki kontrasnya sehingga lebih jelas perbedaan antara pembuluh darah dan background. Tahap deteksi area patologi menggunakan metode Gradient Based Adaptive Thresholding. Tahap segmentasi pembuluh darah tipis menggunakan Region Growing berdasarkan informasi label pembuluh darah utama dan label area patologi. Hasil segmentasi pembuluh darah utama dan pembuluh darah tipis kemudian digabungkan sehingga menjadi keluaran sistem berupa citra biner pembuluh darah. Berdasarkan hasil uji coba, metode ini mampu melakukan segmentasi pembuluh darah retina dengan baik pada citra fundus DRIVE, yaitu dengan akurasi rata-rata 95.25% dan nilai Area Under Curve (AUC) pada kurva Relative Operating Characteristic (ROC) sebesar 74.28%.                           Kata Kunci: citra fundus retina, gradient based adaptive thresholding, patologi, pembuluh darah retina, region growing, segmentasi.  Segmentation of blood vessels in the retina fundus image becomes substantial in the medical, because it can be used to detect diseases, such as diabetic retinopathy, hypertension, and cardiovascular. Doctor takes about two hours to detect the blood vessels of the retina, so screening methods are needed to make it faster. The previous methods are able to segment the blood vessels that are sensitive to variations in the size of the width of blood vessels, but there is over-segmentation in the area of pathology. Therefore, this study aims to develop a segmentation method of blood vessels in retinal fundus images which can reduce over-segmentation in the area of pathology using Gradient Based Adaptive Thresholding and Region Growing. The proposed method consists of three stages, namely the segmentation of the main blood vessels, detection area of pathology and segmentation thin blood vessels. Main blood vessels segmentation using high-pass filtering and tophat reconstruction on the green channel which adjusted of contras image that results the clearly between object and background. Detection area of pathology using Gradient Based Adaptive thresholding method. Thin blood vessels segmentation using Region Growing based on the information main blood vessel segmentation and detection of pathology area. Output of the main blood vessel segmentation and thin blood vessels are then combined to reconstruct an image of the blood vessels as output system.This method is able to segment the blood vessels in retinal fundus images DRIVE with an accuracy of 95.25% and the value of Area Under Curve (AUC) in the relative operating characteristic curve (ROC) of 74.28%.Keywords: Blood vessel, fundus retina image, gradient based adaptive thresholding, pathology, region growing, segmentation.
Segmentasi pembuluh darah pada citra retina dengan menggunakan Multi-Scale Line Detector (MSLD) dan Adaptive Morphology Whardana, Adithya Kusuma; Sutaji, Deni
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 3, No 1 (2017): Januari-Juni (3/7)
Publisher : Prodi Sistem Informasi - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1207.71 KB) | DOI: 10.26594/register.v3i1.716

Abstract

 Pembuluh darah pada retina merupakan bagian retina yang berfungsi memberikan suplai darah dan oksigen ke dalam retina. Sehingga apabila pembuluh darah tidak tersuplai oksigen, maka dapat ditarik kesimpulan bahwa pembuluh darah retina tersebut bermasalah, banyaknya noise pada daerah pembuluh darah menyebabkan proses dalam segmentasi. Karena permasalahan yang timbul, maka dalam penelitian ini diusulkan metode segmentasi pembuluh darah dengan menggabungkan dua metode, yaitu metode Multi-Scale Line Detector (MSLD) dan Adaptive Morphology. Dari keseluruhan metode memiliki fungsi yang berbeda-beda, MSLD berfungsi dalam proses pemisahan garis yang dibentuk oleh pembuluh darah yang dalam hal ini melalui proses perubahan citra orisinal ke citra green channel, namun dalam proses sebenarnya metode MSLD kurang dalam proses segmentasi, karena timbulnya masalah disaat terjadi garis yang menyilang antara optic disc dan pembuluh darah, sehingga pada saat segmentasi garis yang menyilang tersebut tidak akan ikut disegmentasi, sehingga membutuhkan metode penambahan pada proses segmentasinya, untuk itu diperlukan metode Adaptive Morphology, sehingga saat proses segmentasi sebelumnya yang telah dilakukan dengan menggunakan MSLD bisa disempurnakan dengan menggunakan metode Adaptive Morphology. Penggabungan metode sangat efektif karena bisa menghilangkan area optic disc yang membentuk garis menyilang dengan pembuluh darah secara sempurna dengan tanpa menghilangkan area pembuluh darah, sehingga dalam proses segmentasi dapat menghasilkan tingkat akurasi 97,94%.   The blood vessels of the retina are part of the retina that serves to supply blood and oxygen to the retina. So if the blood vessels are not supplied oxygen, it can be concluded that the retinal blood vessels are problematic, the amount of noise in the blood vessel causes the process in segments.Karena problems arise, then in this study proposed method of blood vessel segmentation by combining two methods, namely Methods of Multi-Scale Line Detector (MSLD) and adaptive morphology. From the whole method has different functions, MSLD function in the process of separation of lines formed by blood vessels in this case through the process of changing the original image to the green channel image, but in the actual process of MSLD method is less In the process of segmentation, due to the emergence of the problem when there is a crossing line between the optic disc and blood vessels, so that when the segmentation of the crossed line will not participate in segmentation, thus requiring additional method in the process of segmentation, for that required adaptive morphology method, Previous segmentation that has been done by using MSLD can be enhanced by using adaptive morphology method. Combination method is very effective because it can eliminate the optic disc area that forms a line crossed with blood vessels perfectly without removing the blood vessel area, so in the process of segmentation can produce an accuracy of 97.94%. 
THE EFFECT OF USING RING THEORY MOBILE APPLICATION ON STUDENT INVOLVEMENT AND REASONING ABILITY Suryanti, Sri; Sutaji, Deni
Journal on Mathematics Education Online First
Publisher : Department of Doctoral Program on Mathematics Education, Sriwijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22342/jme.12.2.5398.%p

Abstract

This study aims to determine the influence of the use of ring theory mobile application on student involvement in learning and the students reasoning ability. The subject of research is sixth-semester students who take the subject of Ring Theory that is 30 people. The research instrument used is observation sheet, student involvement questionnaire, and test questions to know students reasoning ability. The research method used is descriptive quantitative to know the involvement of students, while to know the effect on students reasoning ability used independent sample t-test with SPSS 15.0. The results showed that the use of ring theory mobile application caused a very positive engagement, from the overall indicator of student involvement in learning, gets an average score  4.74 (score range 1-5). Also, there was a significant influence of the use of ring theory mobile application on students reasoning ability, which is 0.721
CHARACTER DETECTION IN BNI INTERNET BANKING CAPTCHA IMAGE USING TEMPLATE MATCHING CORRELATION Sutaji, Deni
IJTB (International Journal of Technology And Business) Vol 3 No 1 (2019): IJTB | INTERNATIONAL JOURNAL OF TECHNOLOGY AND BUSINESS
Publisher : LPPM of STIMIK ESQ

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Captcha image is already used in Internet Banking as a security device in the process of authentication for active users as a humans or a robots. BNI Bank is the one that applies capthca image, contain four number characters in it. In this study, we propose how to read characters in the captcha image using Template Matching Correlation method. Later in the next study it can be used as an automatic login system for Micro, Small and Medium Enterprises (MSME) players who apply transfer payments to BNI Bank accounts. The first step to recognize is pre-processing, then proceed with segmentation and labeling per characters, and the last is matching with a reference template dataset using Template Matching Correlation. Of the 100 test data, this system produces an accuracy rate that reaches 100%. So this method is suitable for identifying characters of captcha image on the BNI Internet Banking login page.
Segmentasi pembuluh darah pada citra retina dengan menggunakan Multi-Scale Line Detector (MSLD) dan Adaptive Morphology Whardana, Adithya Kusuma; Sutaji, Deni
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 3, No 1 (2017): January
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v3i1.716

Abstract

 Pembuluh darah pada retina merupakan bagian retina yang berfungsi memberikan suplai darah dan oksigen ke dalam retina. Sehingga apabila pembuluh darah tidak tersuplai oksigen, maka dapat ditarik kesimpulan bahwa pembuluh darah retina tersebut bermasalah, banyaknya noise pada daerah pembuluh darah menyebabkan proses dalam segmentasi. Karena permasalahan yang timbul, maka dalam penelitian ini diusulkan metode segmentasi pembuluh darah dengan menggabungkan dua metode, yaitu metode Multi-Scale Line Detector (MSLD) dan Adaptive Morphology. Dari keseluruhan metode memiliki fungsi yang berbeda-beda, MSLD berfungsi dalam proses pemisahan garis yang dibentuk oleh pembuluh darah yang dalam hal ini melalui proses perubahan citra orisinal ke citra green channel, namun dalam proses sebenarnya metode MSLD kurang dalam proses segmentasi, karena timbulnya masalah disaat terjadi garis yang menyilang antara optic disc dan pembuluh darah, sehingga pada saat segmentasi garis yang menyilang tersebut tidak akan ikut disegmentasi, sehingga membutuhkan metode penambahan pada proses segmentasinya, untuk itu diperlukan metode Adaptive Morphology, sehingga saat proses segmentasi sebelumnya yang telah dilakukan dengan menggunakan MSLD bisa disempurnakan dengan menggunakan metode Adaptive Morphology. Penggabungan metode sangat efektif karena bisa menghilangkan area optic disc yang membentuk garis menyilang dengan pembuluh darah secara sempurna dengan tanpa menghilangkan area pembuluh darah, sehingga dalam proses segmentasi dapat menghasilkan tingkat akurasi 97,94%.   The blood vessels of the retina are part of the retina that serves to supply blood and oxygen to the retina. So if the blood vessels are not supplied oxygen, it can be concluded that the retinal blood vessels are problematic, the amount of noise in the blood vessel causes the process in segments.Karena problems arise, then in this study proposed method of blood vessel segmentation by combining two methods, namely Methods of Multi-Scale Line Detector (MSLD) and adaptive morphology. From the whole method has different functions, MSLD function in the process of separation of lines formed by blood vessels in this case through the process of changing the original image to the green channel image, but in the actual process of MSLD method is less In the process of segmentation, due to the emergence of the problem when there is a crossing line between the optic disc and blood vessels, so that when the segmentation of the crossed line will not participate in segmentation, thus requiring additional method in the process of segmentation, for that required adaptive morphology method, Previous segmentation that has been done by using MSLD can be enhanced by using adaptive morphology method. Combination method is very effective because it can eliminate the optic disc area that forms a line crossed with blood vessels perfectly without removing the blood vessel area, so in the process of segmentation can produce an accuracy of 97.94%. 
Segmentasi Pembuluh Darah Retina Pada Citra Fundus Menggunakan Gradient Based Adaptive Thresholding Dan Region Growing Sutaji, Deni; Fatichah, Chastine; Navastara, Dini Adni
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 2, No 2 (2016): July
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v2i2.553

Abstract

 Segmentasi pembuluh darah pada citra fundus retina menjadi hal yang substansial dalam dunia kedokteran, karena dapat digunakan untuk mendeteksi penyakit, seperti: diabetic retinopathy, hypertension, dan cardiovascular. Dokter membutuhkan waktu sekitar dua jam untuk mendeteksi pembuluh darah retina, sehingga diperlukan metode yang dapat membantu screening agar lebih cepat.Penelitian sebelumnya mampu melakukan segmentasi pembuluh darah yang sensitif terhadap variasi ukuran lebar pembuluh darah namun masih terjadi over-segmentasi pada area patologi. Oleh karena itu, penelitian ini bertujuan untuk mengembangkan metode segmentasi pembuluh darah pada citra fundus retina yang dapat mengurangi over-segmentasi pada area patologi menggunakan Gradient Based Adaptive Thresholding dan Region Growing.Metode yang diusulkan terdiri dari 3 tahap, yaitu segmentasi pembuluh darah utama, deteksi area patologi dan segmentasi pembuluh darah tipis. Tahap segmentasi pembuluh darah utama menggunakan high-pass filtering dan tophat reconstruction pada kanal hijau citra yang sudah diperbaiki kontrasnya sehingga lebih jelas perbedaan antara pembuluh darah dan background. Tahap deteksi area patologi menggunakan metode Gradient Based Adaptive Thresholding. Tahap segmentasi pembuluh darah tipis menggunakan Region Growing berdasarkan informasi label pembuluh darah utama dan label area patologi. Hasil segmentasi pembuluh darah utama dan pembuluh darah tipis kemudian digabungkan sehingga menjadi keluaran sistem berupa citra biner pembuluh darah. Berdasarkan hasil uji coba, metode ini mampu melakukan segmentasi pembuluh darah retina dengan baik pada citra fundus DRIVE, yaitu dengan akurasi rata-rata 95.25% dan nilai Area Under Curve (AUC) pada kurva Relative Operating Characteristic (ROC) sebesar 74.28%.                           Kata Kunci: citra fundus retina, gradient based adaptive thresholding, patologi, pembuluh darah retina, region growing, segmentasi.  Segmentation of blood vessels in the retina fundus image becomes substantial in the medical, because it can be used to detect diseases, such as diabetic retinopathy, hypertension, and cardiovascular. Doctor takes about two hours to detect the blood vessels of the retina, so screening methods are needed to make it faster. The previous methods are able to segment the blood vessels that are sensitive to variations in the size of the width of blood vessels, but there is over-segmentation in the area of pathology. Therefore, this study aims to develop a segmentation method of blood vessels in retinal fundus images which can reduce over-segmentation in the area of pathology using Gradient Based Adaptive Thresholding and Region Growing. The proposed method consists of three stages, namely the segmentation of the main blood vessels, detection area of pathology and segmentation thin blood vessels. Main blood vessels segmentation using high-pass filtering and tophat reconstruction on the green channel which adjusted of contras image that results the clearly between object and background. Detection area of pathology using Gradient Based Adaptive thresholding method. Thin blood vessels segmentation using Region Growing based on the information main blood vessel segmentation and detection of pathology area. Output of the main blood vessel segmentation and thin blood vessels are then combined to reconstruct an image of the blood vessels as output system.This method is able to segment the blood vessels in retinal fundus images DRIVE with an accuracy of 95.25% and the value of Area Under Curve (AUC) in the relative operating characteristic curve (ROC) of 74.28%.Keywords: Blood vessel, fundus retina image, gradient based adaptive thresholding, pathology, region growing, segmentation.
PENINGKATAN KOMPETENSI GURU DAERAH TERPENCIL MELALUI PELATIHAN PENGEMBANGAN KONTEN E-LEARNING Sri Suryanti; Deni Sutaji; Muyasaroh .; Yudhi Arifani; Muhammad Zamzamy
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 4, No 1 (2021): Martabe : Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v4i1.85-93

Abstract

This Community Service activity was backgrounded by three things namely 1) obtained SPADA Grant for the development and impelementation of online learning in 2018; 2) the results of evaluation of devotion activities in 2018 and 2019 namely 80% of teachers understand mobile learning based on Augmented Reality; 3) the fact that there is a gap in the quality of education that occurs in remote areas with urban areas, so it is necessary to increase the competence of teachers in terms of learning innovation through the development of e-learning content for teachers in remote areas of Bawean Island located 80 miles or 135 km north of Java island. The geographical location and transport conditions connecting Bawean island with Gresik are the main obstacles for teachers on Bawean island to keep up with the development of science and technology.This Community Service Program  was implemented through the stage of Strengthening the concept of e-learning followed by needs analysis workshop, e-learning system design workshop, e-learning content development workshop, Upload development results to LMS system, then implementation with assistance from the service team and continued implementation independently by the school. The result of this activity were 1) increased teacher understanding of e-learning and examples of its implementation; 2) produced an e-learning design consisting of the design of the materials of each meeting, video tutorials, discussion activities for students, and evaluation tools; 3) teachers are able to implement e-learning independently.
Pengembangan Teori Ring Mobile Application (Terima App): Media pembelajaran berbasis android untuk meningkatkan aksesibilitas pembelajaran Teori Ring Sri Suryanti; Deni Sutaji
DIDAKTIKA Vol 25 No 2 (2019)
Publisher : Universitas Muhammadiyah Gresik

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (563.565 KB) | DOI: 10.30587/didaktika.v25i2.883

Abstract

Pengembangan aplikasi berbasis android sangat berkembang pesat akhir-akhir ini, lebih dari 96% masyarakat Indonesia menggunakan smartphone android. Sedangkan di dunia, lebih dari 80% dari 104 negara menunjukkan bahwa kaum muda menggunakan smartphone android. Permasalahan pembelajaran Aljabar abstrak di Indonesia adalah kurangnya media pembelajaran untuk bidang aljabar abstrak, yang salah satunya adalah Teori Ring. Media pembelajaran untuk mata kuliah Teori Ring selama ini masih sangat terbatas. Dalam penelitian ini, kami mengembangkan Teori Ring Mobile Application yang merupakan media pembelajaran Teori Ring berbasis android. Hasil validasi media yang dilakukan dalam tiga tahapan yaitu validasi ahli materi, validasi ahli media, dan validasi oleh pengguna, keseluruhan menunjukkan hasil yang positif. Selanjutnya kontribusi media ini dalam meningkatkan aksesibilitas pembelajaran dapat disimpulkan bahwa media ini memiliki tingkat aksesibilitas yang tinggi.
Convolutional Neural Network (CNN) Models for Crop Diseases Classification Deni Sutaji; Harunur Rosyid
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 7, No. 2, May 2022
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v7i2.1443

Abstract

Crop diseases have a significant impact on agricultural production. As a result, early diagnosis of crop diseases is critical. Deep learning approaches are now promising to improve disease detection. Convolutional Neural Network (CNN) models can detect crop disease using images with automatic feature extraction. This study proposes crop disease classification considering ten pre-trained CNN models. Fine-tuning for each model was conducted in the Plant Village dataset. The experimental results show that fine-tuning improves the model’s performance with an average accuracy of 8.85%. The best CNN model was DenseNet121, with 94.48% and 98.97% accuracy for freezing all layers and unfreezing last block convolution layers. Moreover, fine-tuning produces less time-consuming with an average of 2.20 hours. VGG19 is the less time-consuming reduction by 8 hours. On the other hand, MobileNetV2 is the second-best performance model with less time-consuming than DenseNet121, and produces fewer parameters, which is affordable for embedding it to mobile devices.
Improved learning accessibility and professionalism of teachers in remote areas through mentoring development of teaching materials based on Augmented Reality Sri Suryanti; Deni Sutaji; Yudhi Arifani; Muyasaroh Muyasaroh; Muhammad Zamzamy
Kontribusia : Research Dissemination for Community Development Vol 3 No 1 (2020)
Publisher : OJS Universitas Muhammadiyah Gresik

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (535.997 KB) | DOI: 10.30587/kontribusia.v3i1.1032

Abstract

The problem that underlies the Augmented Reality-based teaching material development assistance program for teachers in remote areas is located in the gap in the progress of the quality of education between remote and urban areas caused by demanding access to cities, and the lack of knowledge and understanding of teachers in developing materials innovative teaching by utilizing current technological advancements. Community service activities aim to produce innovative teaching materials based on Augmented Reality at Muhammadiyah 4 Daun Vocational School and MTs Muhammadiyah 5 Daun Sangkapura, Bawean Island. Bawean Island is located 80 miles or 135 km north of Java. The geographical location and transportation conditions connecting Bawean and Gresik islands are the main obstacles for teachers on Bawean island to follow the development of science and technology which results in the low quality of the learning process so that it lags behind the development of information technology. Form of implementation of the program as a realization troubleshooting manifest in periodic and scheduled activities through a strengthening phase followed the concept of mobile learning needs analysis workshop, workshop material development, and implementation with the assistance of a team of stewards and continued application independently by the school in the implementation phase of using the steps Lesson Study as much as two cycles. The method used in the implementation of this activity is the method of discussion, workshops, and direct practice in class. Increased knowledge and ability of teachers teaching materials related to the development of innovative Augmented Reality-based and capable of producing the best practices in the implementation report the development of innovative teaching materials based Augmented Reality in learning in SMK Muhammadiyah 4 Daun and MTs Muhammadiyah 5 Daun Sangkapura, Bawean
Co-Authors Abdillah, Hanif Al Husain, Gymnastiar Ishaq Chastine Fatichah Dini Adni Navastara, Dini Adni Ghalby Muhammad Tsani Harunur Rosyid Husenti , Nadya Ilmi, Rifqy Rosyidah Mahditya Indra Pratama, Angga Mubarok, Bina Kharik Ervin Muhammad Iqbal Akbar Muhammad Romadhon Muhammad Zamzamy Muhammad Zamzamy Muyasaroh Niendhitta Tamia Lassela Nurdianto, Afrinda Rifki, Achmad Sri Suryanti Sri Suryanti Sri Suryanti Umi Chotijah Utomo Pujianto Whardana, Adithya Kusuma Yudhi Arifani YULIA RAHMAWATI