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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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Applying the Naive Bayes Algorithm to Predict the Student Final Grade Adrian, Ronald; Perdana, Muhammad Aldi Joko Satria; Asroni, Asroni; Riyadi, Slamet
Emerging Information Science and Technology Vol. 1 No. 2: May 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.127

Abstract

The teaching and learning process of the Faculty of Engineering of Universitas Muhammadiyah Yogyakarta has used e-learning intensively. One of the benchmarks in determining students’ final grade is to take the values in e-learning. This study aims to predict students’ final grades by utilizing the data mining process and the Naive Bayes algorithm. This study provides students and lecturers information to enhance the teaching and learning process to improve students’ final grades and maintain satisfactory final grades until the lecture is complete. The research began with the literature study, data collection, data selection, data cleaning, data transformation and implementation with rapidminer and conclusion drawing. Based on the prediction of students’ final grades, one course obtained many unsatisfactory grades with an accuracy rate of 93.75%. Thus, the higher the accuracy value, the closer the predicted final value to the actual value. 
The Implementation of Clustering Method With K-Means Algorithm In Grouping Data of Students’ Course Scores at Universitas Muhammadiyah Yogyakarta Asroni, Asroni; Kurniasari, Dita; Kurnianti, Aprilia
Emerging Information Science and Technology Vol. 1 No. 3: August 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v1i3.13172

Abstract

Student grades can be a reference. A large number of student grade data in a university causes data accumulation; thus, data are grouped with data mining. This study aims to classify student grade data in the second semester. Grouping student grade data was performed using the clustering method with the K-means algorithm. The research data were derived from the database of Universitas Muhammadiyah Yogyakarta. The data were students’ grades in the academic years of 2010/2011, 2011/2012, 2012/2013, 2013/2014, and 2014/2015. The analysis process was carried out using WEKA software, SQL Server 2014 Management Studio and Microsoft Excel. The clustering method could be applied to group student grade data. Clustering with K-means formed three clusters, with cluster 0 comprising 72 students, cluster 1 consisting of 190 students, and cluster 2 totaling 133 students. A cluster with the lowest average score could be used as a consideration in updating the learning methods to optimize students’ score acquisition.
Scholarship Acceptance Selection Using Neural Network Method Rammadhany, Rammadhany; Riyadi, Slamet; Asroni, Asroni
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.v1i4.16595

Abstract

Muhammadiyah University of Yogyakarta is one of the private tertiary institutions that provides scholarship programs. UMY provides scholarship programs for outstanding students and middle-lower class students. In the process of receiving a scholarship, UMY has two stages, namely registration and selection. In order to obtain a scholarship, students who register must be declared to pass administrative selection and meet the assessment component as a condition for students to be eligible for scholarships. In order to know the scholarship information received by students, data processing is needed, data processing is often referred to as data mining. This writing is done to predict prospective scholarship recipients using the Neural network algorithm. The methodology at this writing begins with searching for literature studies, choosing data mining methods, data collection, data processing, application and testing of models, results and conclusions. The data used at this writing are 2019 general scholarship data, GPA data, and organizational active information data. The attributes used are parental income, GPA, scholarships, qualification and non-qualification, and active organizational information. The caption attribute qualification and non-qualification is used as a label. At this writing the authors get an accuracy of 72.62%..
Advanced Development of a Prayer Schedule Bot Application on Telegram Using PHP Bahrurozi, Sofran; Asroni, Asroni; Damarjati, Cahya
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

Abstract

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.
Integration and Geographic Visualization of TKA-TPA Data Using Mapbox Wicaksono, Bhaskoro; Asroni, Asroni; Setiawan, Asep
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.v1i4.16597

Abstract

TKA-TPA data management is performed conventionally and inaccurately. Accordingly, it may result in considerable data loss. Data collection for TKA-TPA by BADKO Kasihan Bantul Yogyakarta is still carried out conventionally. Therefore, this study supports BADKO TKA-TPA in data management, data reporting, data mapping, and data publication. A Web Geographic Information System (GIS) was created using the CodeIgniter framework with the Hypertext Preprocessor (PHP) programming language, MapBox on the Maps API Service, MySQL database, and the SDLC with the prototype method. The study result is a web-based GIS application. This GIS application has been successfully built and can be used by BADKO TKA-TPA Kasihan Bantul Yogyakarta for its data management and mapping system.
Prediction of Student Study Period Based on Admission Pathways Using Support Vector Machine Algorithm Audilla, Cut Maya Putri; Riyadi, Slamet; Asroni, Asroni
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.v1i4.16598

Abstract

In Indonesia, the quality of a university is measured based on the accreditation by BAN-PT (National Accreditation Board for Higher Education). BAN-PT possesses several main standards in measuring the quality of a university, one of which is students and graduates. The accuracy of the student study period is a crucial issue because it is the basis for the effectiveness of a university. Prediction is a process of systematically estimating something most likely to happen in the future based on past and present information to minimize the error (difference between something that happens and the forecast results). One technique used to make predictions is data mining. Universitas Muhammadiyah Yogyakarta (UMY), as one of the best private universities in Indonesia, must maintain the quality of its students. Student admission at UMY is an internal selection carried out through several methods: student achievement and academic ability tests. The Support Vector Machine (SVM) method is part of the prediction method. Analysis of the SVM prediction utilized the historical data from alumni of the Faculty of Law of UMY in the graduation year of 2015-2019. The application of SVM has provided better accuracy, precision, and recall results. The best kernel accuracy level was the SVM RBF kernel with an optimum C value of 10 and a gamma value of 0.4 with an accuracy of 96.00%.
Web-Based Information System for Listing Goods at the Semoga Jaya Store Ramadhan, Ade Prasetyo; Asroni, Asroni; Kurnianti, Aprilia
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 Arifin, Samsul; Asroni, Asroni; Kurniawati, Aprilia
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
Water Level Monitoring System Simulation Using Flutter Framework in Pekalongan City Edifianto, Gilang Hendra Dita; Damarjati, Cahya; 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

Abstract

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.
Design and Build of The UNIRES Student Dormitory Management System of UMY Integrated With The Campus System Kasastra R, Arifia; Asroni, Asroni; Damarjati, Cahya
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.
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