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All Journal Semesta Teknika Emerging Information Science and Technology Prosiding Seminar Nasional Program Pengabdian Masyarakat
Asroni Asroni
Universitas Muhammadiyah Yogyakarta
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Economics, Econometrics & Finance Engineering Medicine & Pharmacology Social Sciences

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Journal : Emerging Information Science and Technology

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Prediction of New Student Registration at Universitas Muhammadiyah Yogyakarta using the Naïve Bayes Classification Algorithm Lusiana Ning Saputri; Asroni Asroni; Slamet Riyadi
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.v2i1.16869

Abstract

All public and private universities perform new student admission each year, with the number of applicants reaching the thousands. Prospective new students who intend to continue and meet the higher education criteria must re-register according to the university’s timetable after enrolling through their selected pathway and being pronounced passed. Due to the movement of prospective students to different departments or universities, the number of applications typically does not match the number of individuals who have re-registered. If the probability of a new student candidate departing can be discovered early, higher education management can take the necessary steps to retain the prospective student. Data mining and the Naïve Bayes algorithm were employed to analyze the data. The information was extracted from Universitas Muhammadiyah Yogyakarta’s database of Information Technology freshmen applicants for 2016-2017. Microsoft Excel, RapidMiner, and SQL Server 2014 Management Studio were utilized.
Web-Based Information System for Listing Goods at the Semoga Jaya Store Ade Prasetyo Ramadhan; Asroni Asroni; Aprilia Kurnianti
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.v2i1.16855

Abstract

Manual processing at the Semoga Jaya Store troubles the owner. This issue necessitates an information system that the business owner and customers can access immediately, at any time, and from any location. The system must offer precise, fast, and accurate information on the available stock. Hence, this study created a web-based information system designed with the Hypertext Processor (PHP) programming language and the MySQL database. The system could ease the store’s financial data management, offer information on its stock, and facilitate customers to discover information on the goods. This research involved needs analysis, system design, implementation, and testing. Functional testing was conducted on this stock list information system, revealing that it could facilitate data processing and provide information effectively and efficiently.
Development of a Web-Based School Payment Administration Information System Using the Laravel Framework Samsul Arifin; Asroni Asroni; Aprilia Kurniawati
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.v2i1.16857

Abstract

A school’s payment administration management system is crucial for its well-being because all activities require payment administration to run successfully. The administration department is responsible for managing the payment, including recording payment of Education Development Contribution (SPP) and other contribution fees and generating reports. Unfortunately, these tasks are carried out manually and have not been digitized, resulting in the possibility of erroneous data and a lengthy recording procedure. Accordingly, it necessitates developing a web-based system for school payment administration management to decrease the risk of payment and recording errors. Laravel was utilized as the application’s framework, with PHP as the language. Database management system employed MySQL. Observation, interviews, and system analysis were performed to create a web application. This application could resolve issues, making payment data recapitulation more effective and efficient while reducing the risk of data inaccuracy
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

Abstract

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.
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

Abstract

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.
Co-Authors Abdul Eriawan Nahar Abyiyansyah Meidy Laksono Ade Prasetyo Ramadhan Andhika Putra Setianto Aprilia Kurnianti Aprilia Kurniawati Arifia Kasastra R Asep Setiawan Badrahini Masajeng Respati Bhaskoro Wicaksono Cahya Damarjati Cut Maya Putri Audilla Dita Kurniasari Eko Prasetyo Fadhan Anwarodin Haris Setyawan Haris Setyawan Hidayatul Fitri Lusiana Ning Saputri Marsa Sefta Lesmana Minhajuddin K. Abdurrahim Mufaddal Al Baqir Muhammad Aldi Joko Satria Perdana Muhammad Alfadha Termahadi Mukhtar Hanafi Nadiyah Maharty Ali Nasrul Saefullah Nurfahmi Nurfahmi Pascal Pahlevi Pasha Rammadhany Rammadhany Reza Giga Isnanda Rohmana Zulfa Bakhtiar Ronald Adrian Samsul Arifin Slamet Riyadi Slamet Riyadi Sofran Bahrurozi Suparman Suwadi Suwadi Teuku Syauqi Maulana Yuda Fatah Kurniawan