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All Journal International Journal of Electrical and Computer Engineering Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Jurnal Buana Informatika Register: Jurnal Ilmiah Teknologi Sistem Informasi Jurnal IPTEK-KOM (Jurnal Ilmu Pengetahuan dan Teknologi Komunikasi) JOIV : International Journal on Informatics Visualization INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Indonesian Journal of Information System J-Dinamika: Jurnal Pengabdian Kepada Masyarakat Community Empowerment Journal of Applied Data Sciences Nakhoda: Jurnal Ilmu Pemerintahan Emerging Information Science and Technology Prosiding Seminar Nasional Program Pengabdian Masyarakat Scientific Journal of Informatics

Cahya Damarjati

Universitas Muhammadiyah Yogyakarta

Author-ID : 249036

Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Medicine & Pharmacology Public Health Social Sciences

Published : 35 Documents Claim Missing Document

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Articles

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Classification of Mangosteen Surface Quality Using Principal Component Analysis Slamet Riyadi; Amelia Mutiara Ayu Ratiwi; Cahya Damarjati; Tony K. Hariadi; Indira Prabasari; Nafi Ananda Utama
Emerging Information Science and Technology Vol 1, No 1: February 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Mangosteen (Garcinia mangostana L) is one of the primary contributor for Indonesia export. For export commodity, the fruit should comply the quality requirement including its surface. Presently, the surface is evaluated by human visual to classify between defect and non- defect surface. This conventional method is less accurate and takes time, especially in high volume harvest. In order to overcome this problem, this research proposed images processing based classification method using principal component analysis (PCA). The method involved pre-processing task, PCA decomposition, and statistical features extraction and classification task using linear discriminant analysis. The method has been tested on 120 images by applying 4-fold cross validation method and achieve classification accuracy of 96.67%, 90.00%, 90.00% and 100.00% for fold-1, fold-2, fold-3 and fold-4, respectively. In conclusion, the proposed method succeeded to classify between defect and non-defect mangosteen surface with 94.16% accuracy.

Ajax Based Exam Engine with Tagging System to Improve Learning Asroni Asroni; Minhajuddin K. Abdurrahim; Cahya Damarjati
Emerging Information Science and Technology Vol 1, No 1: February 2020
Publisher : Universitas Muhammadiyah Yogyakarta

In this paper, we propose exam engine software with tagging system to help students’ study. With this tagging system, they can analyze their subject learning through exam they have done from time to time. When the students see their reports, the students will decide which subjects are low in grade and should be re-studied. We use AJAX technology to enrich the user experience of this exam engine. After we test all feature with unit testing, this exam engine is proven to runs well and do benefits for students.

Advanced Development of a Prayer Schedule Bot Application on Telegram Using PHP Sofran Bahrurozi; Asroni Asroni; Cahya Damarjati
Emerging Information Science and Technology Vol 1, No 4: November 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v1i4.16596

A bot is a web robot or an assistant with computer intelligence. The usefulness of a bot is very much starting from the web, messenger, and others. One application possessing a provider to make a bot is a Telegram. The development of technology, such as social media applications, has made them prevalent for the public, including most Muslims. Sometimes, people will be negligent in worshiping when using the application. Therefore, creating a prayer schedule bot is necessary to prevent people from doing so. A framework creation aimed to facilitate the stages of making a bot using a PHP programming language. The bot-making results could be utilized in various countries with the calculation method found in a bot, providing a preference for users. Telegram bot is preferred for smartphone users wanting storage efficiency and having an internet connection. In contrast, the conventional prayer scheduler application does not care much about the storage taken and does not have an internet connection.

Water Level Monitoring System Simulation Using Flutter Framework in Pekalongan City Gilang Hendra Dita Edifianto; Cahya Damarjati; Asroni Asroni
Emerging Information Science and Technology Vol 2, No 2: November 2021
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v2i2.16859

Pekalongan City is a region on the northern coast of Java with a sloping topography and is susceptible to the increasing sea level, which can result in tidal floods. As previous research revealed, ten villages in three districts, including coastal areas, are vulnerable to tidal floods. Moreover, the vulnerability analysis based on BNPB Head Regulation (Perka) No. 2 of 2012 unveiled that seven out of ten villages in three districts have a high risk of tidal floods. Pekalongan City experienced a tidal flood that swamped 16 villages in three districts at the beginning of 2021. It was the result of heavy rains and strong tides along the northern shore. The tidal flood caused damage to a variety of sectors, including agriculture, communities, infrastructure, and clean water sanitation. Information technology development was employed in disaster management, making it simpler to acquire data for predicting future disasters, obtaining data in disaster-affected areas, and implementing mitigation in disaster-prone areas. This study collected data through interviews and a literature review. This research created Android applications simulating a water level monitoring system using the flutter framework. Firebase was utilized as a database for authentication, while Google Maps Platform was deployed to display maps during the application simulation. It is anticipated that the simulation of the water level monitoring system will be the first step in building the water level monitoring system in Pekalongan City. Hence, residents of Pekalongan City can utilize it to assist with mobility issues during floods.

Automatic Measurement Application of Heart Area from Chest X-Ray Images Using the U-Net Deep Learning Method Andhika Putra Setianto; Cahya Damarjati; Asroni Asroni
Emerging Information Science and Technology Vol 2, No 1: May 2021
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v2i1.16864

Heart health is a basic human right and a crucial component of global health justice. In an ever-more-advanced age, every task becomes simple due to science, technology, and information development. However, certain tasks are still performed manually. Therefore, innovation in computerized system design is required. The human heart area calculation was performed by combining image processing and deep learning techniques. Deep learning is a scientific subfield of machine learning, while image segmentation is a step in image processing. This study employed the U-Net segmentation method to identify different stages of heart area calculation. U-Net could conduct image segmentation with the small training dataset accurately. This study’s population consisted of 800 chest X-ray images obtained from the Kaggle website, with human hearts as the sample. The findings revealed that the training data with the U-Net architecture model acquired an accuracy of 09.98. However, the testing data accuracy was still determined manually. In this work, the U-Net model employed an input shape measuring 256x256, a kernel size of 3x3, and 50 epochs.

Design and Build of The UNIRES Student Dormitory Management System of UMY Integrated With The Campus System Arifia Kasastra R; Asroni Asroni; Cahya Damarjati
Emerging Information Science and Technology Vol 2, No 2: November 2021
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v2i2.16863

The design and build of the Unires student dormitory management system of UMY integrated with the campus system with the Laravel framework aim to aid office and development staff. This system contained two types and several levels of roles. The roles were on the staff and resident sides. Concerning the staff, the roles comprised the director, staff, caregivers, technicians, new student admission committees (penmaru), launders, and examiners. Meanwhile, on the resident side, it consisted of the supervisor, senior, senior assistant, and resident. Access and features for each position varied based on the requirements of the function. The login for staff required a username and password freely determined. On the other hand, the resident position utilized the Single Sign-On procedure connected with UMY. Display for staff was standard with widescreen sizes. Unlike the system for staff, the residents’ display had a mobile-first design, meaning that it looks best on a tiny screen but is still legible when viewed on a large screen. Through the Bureau of Information System (BSI) of UMY, this system was also indirectly linked to the bank’s payment system. This technology would make the management and development of student dormitories simpler, more effective, and more efficient.

Classification of Student Understanding on Covid-19 Booster Vaccine Using Machine Learning Cahya Damarjati; Slamet Riyadi; Ricki Irawan
Emerging Information Science and Technology Vol 3, No 2 (2022): November
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v3i2.18680

The outbreak of COVID-19 has been declared a global pandemic by the World Health Organization (WHO). Developing a vaccine is one of the best ways to reduce the virus's impact. Nevertheless, the development of virus mutations produces new variants that diminish the efficacy of the previous vaccine. Booster doses of the Covid-19 vaccine is still a matter of debate among the public, particularly among students, as evidenced by the low rate of booster vaccinations in the community, which is a result of a lack of knowledge about booster vaccines. The purpose of this study is to assess the level of understanding among Universitas Muhammadiyah Yogyakarta (UMY) students regarding booster vaccinations, with the results subsequently serving as a factor or strategy for future government booster vaccination policy decisions. ANN and SVM algorithms could be used to predict the level of understanding of booster vaccinations among UMY students. However, the maximum level of precision in classifying the level of comprehension is not yet known. To determine which of the two methods, kernel and k-fold, provided the maximum level of accuracy, a comparative study was conducted between them. The research was conducted by disseminating questionnaires containing assessments of booster vaccinations to a total of 2095 respondents. Using randomized sampling type, this study yielded an accuracy of 88.45% for the ANN method and 89.93% for the SVM method in each scenario. In addition, the authors conduct feature efficiency, which aims to reduce the time and cost associated with data computation.

Partial Adaptive Multi-Level Block Truncation Coding (Ambtc) Of Spinal X-Ray Image For Efficient Compression Damarjati, Cahya
Emerging Information Science and Technology Vol 5, No 1 (2024): May
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v5i1.22409

This study aims to explore various adaptations of the AMBTC compression model applied to lumbar spine radiographic images, focusing on minimizing image size while preserving essential information. The approach involves adjusting several technical aspects of the AMBTC model, including the number of blocks, block size, and compression rate. The quality of the compressed images is assessed using image quality metrics such as PSNR (Peak Signal-to-Noise Ratio) and MSE (Mean Squared Error). The findings indicate that a modified AMBTC compression model can significantly enhance the quality of lumbar spine radiographic images, evidenced by increased PSNR values, while substantially reducing the file size without compromising crucial image details

Laravel Framework-Based Information System of the Department of Information Technology of Universitas Muhammadiyah Yogyakarta Musyary, Musyary; Kurniati, Aprilia; Damarjati, Cahya
Emerging Information Science and Technology Vol 4, No 2 (2023): November
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v4i2.20736

It is crucial to have a reliable and adequate information system to implement information technology. It explains why technology must continue advancing in this area, specifically regarding the Information Technology Department’s information management at Universitas Muhammadiyah Yogyakarta (UMY). Information has been disseminated through the WhatsApp and Telegram applications, leading to improper conveying of the made and supplied information due to excessive stacking. Hence, a web-based information system was developed in PHP with the help of the Laravel framework to overcome the issue. Moreover, a database was set up using MySQL to circumvent the issue. The newly constructed information system could enhance information management, leading to more accurate and efficient information generation for various uses.

Discrete Curvelet Transform Feature Extraction for Mangosteen Fruit Surface Damage Detection Utama, Nafi Ananda; Triyani, Wahyu Indah; Riyadi, Slamet; Damarjati, Cahya
Emerging Information Science and Technology Vol 5, No 1 (2024): May
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v5i1.22602

Mangosteen (Garcinia mangostana L) is one of the commodities of Indonesian fruit and is used as an export primadona that became the basis of Indonesia to increase the currency of the country. The quality of the fruit can be seen from the surface, whether there is damage or not. The sorting that the farmers have been doing all this time is still using the conventional way, that is, with the sense of sight. This conventional method seems to be less effective because it takes a lot of energy, takes a long time, and there are different perceptions between farmers. To solve this problem, a method of surface quality extraction of mango fruit will be developed based on image processing. The initial stage of image processing is with the image size equation then the image is converted to grayscale mode, then a discrete curvelet transformation is performed. The next stage is the extraction of mean, energy, entropy, standard deviation, variance, sum, correlation, contrast, and homogeneity. The result of the subsequent feature extraction is used to enter a value at the classification stage. From some of these extractions it will be known which extraction has the highest accuracy value. The method of classification used is Linear Discriminant Analysis (LDA) with the method of K-Fold Cross Validation which in this study is divided into 4-fold cross validation. After testing on 120 images, the highest value of accuracy is with extraction of standard characteristics deviation of 91.7% and variance of 88.4%.

Co-Authors Abdul Eriawan Nahar Abdurrahim, Minhajuddin K. Abyiyansyah Meidy Laksono Adhianty Nurjanah Amelia Mutiara Ayu Ratiwi Andhika Putra Setianto Aprilia Kurnianti Aprilia Kurniati, Aprilia Arifia Kasastra R ARIS NUGROHO Asri Tri Wulandari Asroni Asroni Asroni Asroni Asroni Asroni Asroni, Asroni Ayu Ratiwi, Amelia Mutiara Azizah, Laila Marifatul Chen, Hsing-Chung Dimas Bagas Ajipratama Eko Fajar Cahyadi Eko Prasetyo Fadhan Anwarodin Fauri Hakim Gilang Hendra Dita Edifianto Heri Wijayanto Indira Prabasari Indira Prabasari, Indira Ishak, Asnor Juraiza Kamarul Hawari Ghazali Karim, Rohana Abdul Laila Ma’rifatul Azizah Lukito Edi Nugroho Mahardika, Naufal Gita Mahmudi, Muhammad Nazih Masyhur, Ahmad Musthafa Maududi Nur Imani Tarigan Minhajuddin K. Abdurrahim Muhammad Alfadha Termahadi Mukhtar Hanafi Musyary, Musyary Nafi Ananda Utama Nano Prawoto Nasrul Saefullah Nisrina Akbar Rizky Putri Prasetyo, Satria Ramli, Suzaimah Ricki Irawan Ridho Al-Hamdi Rochmah, Faizatur Salsabila, Lathifah Khansa Sartika Puspita Sifa Dinia Siti Khotimah Slamet Riyadi Slamet Riyadi Slamet Riyadi Sofiani, Erma Sofran Bahrurozi Sri Suning Kusumawardani Suparman Suradi, Muhamad Arief Previasakti Suwadi Suwadi Titis Wisnu Wijaya Titis Toha Ardi Nugraha Tony K Hariadi Trinanda Putra, Karisma Triyani, Wahyu Indah Utama, Nafi Ananda Yunita Lestari

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