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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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Peningkatan Kapasitas Penyelenggaraan Ujian Kompetensi Berbasis Web Rekrutmen Guru dan Karyawan Sekolah Muhammadiyah se-Sleman Angkatan VI Slamet Riyadi; Cahya Damarjati; Asroni Asroni; Suparman Suparman
Prosiding Seminar Nasional Program Pengabdian Masyarakat 2022: 1. Peningkatan Kapasitas Kelembagaan Publik
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/ppm.51.1003

Abstract

Majelis Pendidikan Dasar dan Menengah (Dikdasmen) Pimpinan Daerah Sleman merupakan penyelenggara amal usaha Muhammadiyah dalam bidang pendidikan SD, SMP, dan SMA/K Muhammadiyah se-Kabupaten Sleman. Setiap tahun, Majelis Dikdasmen menyelenggarakan rekrutmen guru dan karyawan secara daring dengan menggunakan sistem berbasis teknologi informasi dimana salah satunya adalah sistem Ujian Kompetensi Berbasis Web (UKBW). Sistem UKBW dikembangkan melalui platform MyKlass yang dimiliki oleh Universitas Muhammadiyah Yogyakarta. Oleh karena sistem tersebut menginduk pada MyKlass, maka pihak Majlis menghadapi keterbatasan dalam mengelola dan menggunakannya. Program ini memberikan solusi berupa pendampingan penggunaan Sistem UKBW dalam rekrutmen guru dan karyawan sekolah Muhammadiyah se-Kabupaten Sleman tahun 2021 Angkatan VI. Tahapan yang dilakukan adalah observasi, persiapan, pelaksanaan ujian daring, dan evaluasi. UKBW telah selesai dilaksanakan dan diikuti oleh 535 calon guru dan karyawan. Hasil ujian dari sistem langsung dapat diperoleh setelah ujian selesai dan kemudian diolah oleh mitra sehingga 111 calon guru dan karyawan untuk tingkat SD, 78 untuk tingkat SMP, dan 50 untuk tingkat SMA dinyatakan lulus UKBW.Program telah berhasil membantu Majlis Dikdasmen dalam penyelenggaraan UKBW rekrutmen guru dan karyawansekolah Muhammadiyah se-Sleman
Implementasi Pembelajaran Iqro Menggunakan AI Asroni Asroni; Mukhtar Hanafi; Cahya Damarjati; Muhammad Alfadha Termahadi
Prosiding Seminar Nasional Program Pengabdian Masyarakat 2022: 2. Kreatifitas Pendidikan dan Pembelajaran di Sekolah dan Perguruan Tinggi
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/ppm.52.1054

Abstract

TKA-TPA di dalam proses belajar Iqro yang selama ini dilakukan adalah dengan interaksi secara langsung antara Siswa dengan Guru. Dengan adanya perkembangan teknologi informasi terutama di bidang Artificial Intelligence (AI) sangat memungkinkan untuk dibuat piranti pembantu untuk membantu proses pembelajaran. Pengabdian dilakukan untuk menguji siswa TKA-TPA dengan menggunakan aplikasi desktop Iqro dengan AI untuk pelafalan huruf hijaiyah. Siswa yang diuji memiliki jenis kelamin putra dan putri untuk menguji kemampuan aplikasi desktop Iqro dengan AI. Aplikasi ini akan menebak suara yang apakah benar atau salah setiap siswa dan dicatat untuk jumlah jawaban dengan nilai total yang terekap. Hasil dari pengujian menghasilkan terhadap 4 siswa aplikasi menghasilkan rata-rata 80% untuk menebak jumlah jawaban benar. Pada pengabdian ini dengan hasil 80% masih diperlukan proses peningkatan aplikasi agar bisa digunakan kemampuan untuk menebak dengan hasil yang labih baik dan akurat
Pelatihan Ibadah Praktis bagi Masyarakat Asep Setiawan; Asroni Asroni; Mufaddal Al Baqir
Prosiding Seminar Nasional Program Pengabdian Masyarakat 2022: 6. Digitalisasi Syiar Islam
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/ppm.56.1078

Abstract

Pengembangan Aplikasi Android untuk Pengelolaan Kegiatan Donor Darah di Paguyuban Kanca Donor Cawas Haris Setyawan; Asroni Asroni; Pascal Pahlevi Pasha
Prosiding Seminar Nasional Program Pengabdian Masyarakat 2022: 7. Sarana dan Prasarana Publik dan Mitigasi Bencana
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/ppm.57.1136

Abstract

Pengelolaan data relawan donor darah dan layanan administrasi kegiatan donor darah merupakan layanan berhubungan langsung dengan kebutuhan masyarakat. Layanan administrasi dapat berupa peyiapan data pendonor dan koordinasi kegiatan donor darah. Saat ini, pengelolaan layanan donor darah di Paguyuban Kanca Donor Cawas dilakukan secara manual dan dikoordinasikan melalui media sosial. Koordinasi yang dilakukan melalui medsos tersebut seringkali tertimpa oleh aktivitas-aktivitas yang lain. Hal ini mengakibatkan kelambatan deteksi pendonor yang dalam kondisi siap untuk mendonorkan darahnya dan koordinasi lainnya yang lambat. Untuk mengatasi permasalahan ini, program ini bertujuan meningkatkan tertib administrasi sehingga layanan meningkat dengan mengembangkan aplikasi pengelolaan donor darah. Metode pelaksanaan program ini terdiri dari 5 (lima) tahapan yaitu persiapan kebutuhan sistem, perencanaan aplikasi, pembangunan dan pengujian sistem, training penggunaan aplikasi, dan evaluasi program. Dengan pembangunan aplikasi pengelolaan donor darah, dapat diketahui data semua anggota relawan donor darah, juga dapat diketahui kondisinya apakah dalam kondisi yang sudah siap donor atau tidak saat akan diperlukan dan tersedia fitur untuk melakukan koordinasi
Web-Based Data Information System for Students and Teachers at Al-Qur’an Education Parks in Kasihan, Bantul Teuku Syauqi Maulana; Haris Setyawan; 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.
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