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All Journal Jurnal Pengabdian Kepada Masyarakat Sakai Sambayan Semesta Teknika Turbo : Jurnal Program Studi Teknik Mesin BERDIKARI : Jurnal Inovasi dan Penerapan Ipteks ARMATUR : Artikel Teknik Mesin dan Manufaktur Emerging Information Science and Technology Prosiding Seminar Nasional Program Pengabdian Masyarakat
Asroni, Asroni
Universitas Muhammadiyah Yogyakarta
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Social Sciences Other

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Automatic Measurement Application of Heart Area from Chest X-Ray Images Using the U-Net Deep Learning Method Setianto, Andhika Putra; Damarjati, Cahya; 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.
Prediction of New Student Registration at Universitas Muhammadiyah Yogyakarta using the Naïve Bayes Classification Algorithm Saputri, Lusiana Ning; Asroni, Asroni; Riyadi, Slamet
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 Data Information System for Students and Teachers at Al-Qur’an Education Parks in Kasihan, Bantul Maulana, Teuku Syauqi; Setyawan, Haris; 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.v2i1.16870

Abstract

Al-Qur’an Kindergarten (TKA) and Al-Qur’an Education Park (TPA) are non-formal religious education institutions emphasizing studying Islamic values. The development of society necessitates institutions that hold TKA/TPA-related information promptly and correctly. Currently, technology is required to aid an institution in maintaining data and providing TKA/TPA-related information. The data information system aims to provide data for the TKA/TPA coordination agency and ensure the implementation of the administrative order to assure the operational and development sustainability of the IT-based TKA/TPA operating regions. This research intends to develop a web-based information system that can handle the data of students and teachers to reduce the number of errors due to manual data management. A web-based application system for student and teacher data information in TPA in Kasihan was developed utilizing the CodeIgniter framework, the Hypertext Preprocessor (PHP) programming language, the MySQL database, the SDLC method, and the Prototype model. Due to its superiority, the website was selected as the application’s foundation since it is lightweight and could be accessed rapidly using a web browser and an internet or intranet connection to the server. This study has produced a web-based application constructed successfully and could be utilized as a data information system for TPA students and teachers in Bantul.
Analysis and Visualization of High School Student Achievement Data Using Decision Tree and Cross-Validation in Rapidminer Hartanta, Radhitya Yunandri; Asroni, Asroni; Riyadi, Slamet; Jeckson, Jeckson
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.v4i2.20731

Abstract

The vision, mission, and work indicators of high school education are all geared toward producing graduates of excellent quality. Students’ academic performance in the first and second grades indicates their eventual excellence as graduates. However, it is not feasible to ensure that students in the third year have good results only by comparing their academic achievements during the first and second grades. School leaders and policymakers can benefit from data analysis and visualization by gaining insight into recurring patterns and emerging trends in their stored data. Leaders and management at schools can benefit significantly from Rapidminer’s decision tree and cross-validation data analysis methods when trying to figure out what to do about students performing well or poorly academically.
Development of Desktop-Based Employee Payroll: A Case Study on PT. Bio Pilar Utama Alfia, Bayu Dwiki; Asroni, Asroni; Riyadi, Slamet; Rahaman, Mosiur
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.v4i2.20732

Abstract

As a result of periodic shifts, technological advancements are becoming more varied. The payroll system for employees is one of them. Payroll must follow the company’s standard operating procedures (SOP) to determine several issues. Thus, the system can be customized to match the company’s specific needs and SOP. The administration and finance departments encounter difficulty processing employee payroll due to frequent errors in employee data entry, including position, department, income, and deductions. The absence of a payroll information system that can reliably and rapidly calculate employee salaries and provide timely reports has become the primary source of the difficulty. The designed employee payroll information system only processed PT. Bio Pilar Utama’s payroll data. Facilitating the administration and finance departments to input data, calculate salaries, store data, and generate reports on employee payroll could be achieved through the newly developed employee payroll information system.
Co-Authors Abdurrahim, Minhajuddin K. Adrian, Arkana Kenza Pria Adrian, Ronald Alfia, Bayu Dwiki Ali, Nadiyah Maharty Amrulloh, Munir Andari, Muhammad Zidan Alghazi Andreas Luki Indratmoko Anggoro, Nova Tri Anindito Purnowidodo Anwar, Hisyam Faizul Arissa, Putri Asep Setiawan Audilla, Cut Maya Putri Azhara, Rafito Anwar Bahrurozi, Sofran Bakhtiar, Rohmana Zulfa Cahya Damarjati Edifianto, Gilang Hendra Dita EKO BUDIYANTO Eko Nugroho Giantara, Muhammad Angger Dipa Hadin, Achmad Reihan Hari, Ellia Pingky Dini Haris Setyawan, Haris Hartanta, Radhitya Yunandri Hasna, Neha Amelia Hastuti, Febri Dwi Imanullah, Rizal Aulia Yahya Jeckson, Jeckson Kasastra R, Arifia Kurnianti, Aprilia Kurniasari, Dita Kurniawan, Yuda Fatah Kurniawati, Aprilia Maulana, Teuku Syauqi Moch. Agus Choiron Nadheani, Hadhainada Nurfahmi, Nurfahmi Oktavia, Viola Dwi Perdana, Muhammad Aldi Joko Satria Purnama, M. Dopris Rahaman, Mosiur Rahmawati, Rani Dwi Ramadhan, Ade Prasetyo Rammadhany, Rammadhany Ratnawati, Dila Saputri Respati, Badrahini Masajeng Reza Giga Isnanda, Reza Giga Ridoni, Igniza Risha, Hanifah Tri Noor Riyadi, Slamet Ronald Adrian, Ronald Samsul Arifin Saputri, Lusiana Ning Setianto, Andhika Putra Siswahyudianto Slamet Riyadi Surono, Bambang Wahyudi, Tri Cahyo Wicaksono, Bhaskoro Yudianto, M. Riko Yunas, Mawla Afadha Yuwono Yuwono