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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Syntax Literate: Jurnal Ilmiah Indonesia JURNAL PENDIDIKAN TAMBUSAI Kontribusia : Research Dissemination for Community Development INFOKUM Emerging Information Science and Technology Prosiding Seminar Nasional Program Pengabdian Masyarakat Indonesian Community Journal Warta LPM JMMR (Jurnal Medicoeticolegal dan Manajemen Rumah Sakit) Prosiding International Conference on Sustainable Innovation (ICoSI) Proceeding of Informatics Collaborations and Dessimenation Meeting (Infocoding)
Dwijoko Purbohadi
Program Studi Teknologi Informasi, Universitas Muhammadiyah Yogyakarta
Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Intelligent Tutoring System Design Using Markov Decision Process Aji S, Burhan; Purbohadi, Dwijoko
Emerging Information Science and Technology Vol. 3 No. 1 (2022): May
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v3i1.16888

Abstract

Class learning is a teaching and learning activity involving both teachers and students. Students in the class have different levels of intelligence, divided into three categories: lowest, average, and most intelligent. Teachers usually pay less attention to less intelligent students. Consider a student who is not intelligent enough to remain in school. However, if a smart student is required to repeat content he already comprehends, he will become bored. Therefore, this study developed an intelligent tutoring system (ITS)-based learning application with a Markov decision process (MDP). The combination of ITS and MDP enabled intelligence to determine the most appropriate subsequent step by delivering tutorials and examination questions that guide students to efficiently attain intelligence levels.
Web-Based Electrical Customer Service System Frebian, Muhammad Rizki; Riyadi, Slamet; Purbohadi, Dwijoko
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.v3i2.16894

Abstract

The Electricity Customer Service Information System is a website for making new electricity requests and changing electrical power. Along with the development and advancement of technology, industrial technology is closely related to electric power, one of the most significant aspects that vigorously supports the development, particularly in the Information Technology sector in the urban world. Electric power is a fundamental element for enhancing the welfare of society. Therefore, electrical energy is a measure of societal development. Thus, a website-based information system was developed employing an observational data-gathering technique. This study utilized System Development Live Cycle (SDLC) as the system development approach, Unified Modeling Language (UML) for system analysis and design, PHP as the programming language, and MYSQL as the database.
Optimal Size And Font For Mobile Learning Aura, Alnadya Yosabranka; Purbohadi, Dwijoko; Kurnianti, Aprilia
Emerging Information Science and Technology Vol. 3 No. 1 (2022): May
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v3i1.16895

Abstract

The study of fonts encompasses not only the expression of letter forms but also other aspects of readability and appearance. The necessity for additional font references for mobile learning heightens the importance of the font selection issue. Because many writers want their readers to feel comfortable and at ease when reading their work, study on this font is necessary because if the font size on a mobile phone is too large or too tiny, it becomes unpleasant. This research aims to examine the varieties of fonts that feels comfortable, appropriate, and clear for mobile learning material. This study employed a survey-based data-gathering method. Research on fonts such as Garamond, Gill Sans, Cambria, Kalibri, Constantia, Lato, and Georgia with sizes 10, 12, 14, 16, 18, 20, 22, 24, 26, and 28 and short to lengthy phrases revealed that Georgia was recommended for small and medium size fonts with sizes 10 to 22. For greater font sizes, however, Garamond was suggested with a size of 26.
Development and Testing of a Mathematics Learning Application Fadlil, Arif Ahmad; Purbohadi, Dwijoko; Riyadi, Slamet
Emerging Information Science and Technology Vol. 4 No. 1 (2023): May
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v4i1.18886

Abstract

Distance learning, or online learning, is essential for both teachers and students as they work to create a system of education to function during a pandemic. Therefore, this research aims to develop a CAI media-based learning application for teaching fractions in mathematics. The survey results conducted at SDN 1 Sukerejo Boyolali revealed that students encountered the most trouble with fractions. Hence, their comprehension of the mathematics learning application was evaluated. The pre-test and post-test results of 30 students in both the control and experiment classes demonstrated that the application was easier to use than direct or traditional learning methods.
A System Usability Scale for Development of YouTube API-based E-Learning Module Ahda, Handika Naufal; Purbohadi, Dwijoko; Alamsyah, Nurwahyu
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.v4i2.20735

Abstract

E-learning is formal and non-formal learning carried out using technology, allowing students and teachers to conduct teaching and learning processes using electronic media. By using the e-learning module, YouTube can be included to create material and to ease learning. However, a lot of educational videos on YouTube cover ground already well-covered. Accordingly, the audience cannot skip unnecessary things. Therefore, a YouTube API-based e-learning module was built to help users learn the material effectively. A System Usability Scale (SUS) was employed in this study, allowing easier data collection using a questionnaire. The data analysis acquired a score of 68 (B), signifying the usefulness of the module. The module provided convenience to the users to grasp the material in a brief time.
From Voices to Quality Metrics: Leveraging Patient Conversation Analysis and Speech Recognition for Timely Hospital Service Quality Management in a Hospital Outpatient Setting Sundari, Sri; Purbohadi, Dwijoko; Robani, Anidah
JMMR (Jurnal Medicoeticolegal dan Manajemen Rumah Sakit) Vol. 15 No. 2 (2026): August 2026
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jmmr.v15i2.694

Abstract

Hospitals today face growing pressure to evaluate service quality in ways that go beyond what conventional surveys can offer. Patient satisfaction questionnaires remain widely used, yet their dependence on retrospective recall means that problems are often identified long after they occur, if at all. This study set out to explore whether patient conversation data, captured via passive audio recording and processed by speech recognition, could serve as a near-real-time source of service quality indicators in a hospital setting. An exploratory observational approach was taken at a private type C hospital in the Special Region of Yogyakarta. Recordings were gathered from public service areas. After processing and cleaning, the dataset contained 47,223 textual units, with 7,368 unique words and 22,329 meaningful phrases. The analysis drew on frequency counting, thematic categorisation, sentiment orientation, and linguistic diversity mapping. Waiting time and queuing issues dominated the data, with 'queue' appearing 317 times and 'waiting' 276 times. BPJS-related topics appeared 155 times, referral problems 114 times. Negative expressions outnumbered positive ones. Conversation volume peaked at 07.00-09.00 (40% of all recorded activity). The findings suggest that routinely recorded patient conversations, when processed systematically, may serve as a practical complement to conventional satisfaction surveys, showing promise for supporting more timely and evidence-grounded decisions in hospital service management.
Pemanfaatan Teknologi Pengenalan Ucapan untuk Mengukur Kualitas Layanan Kesehatan: Studi Kasus di Klinik Dwijoko Purbohadi; Sri Sundari
Proceeding of Informatics Collaborations and Dessimenation Meeting Vol. 1 No. 1 (2025)
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Artikel ini bertujuan untuk mengeksplorasi penggunaan teknologi pengenal suara berbasis bahasa Indonesia dalam mengukur dan meningkatkan kualitas layanan rumah sakit. Survei kepuasan pasien yang selama ini dilakukan secara tertulis memiliki keterbatasan, terutama dalam hal kecepatan dan kedalaman informasi. Sebagai alternatif, survei percakapan menggunakan teknologi pengenal suara menawarkan berbagai kelebihan, seperti kemampuan untuk menangkap percakapan antara pasien dan staf, serta antar pasien di ruang tunggu dan loket layanan. Teknologi pengenal suara dapat menganalisis percakapan tersebut dengan memetakan bahasa yang digunakan, kata-kata yang sering muncul, dan sentimen yang ada. Penggunaan teknologi ini menghadapi tantangan seperti kebisingan di ruang publik yang dapat mengurangi akurasi pengenalan suara. Untuk mengatasi hal ini, teknologi perlu ditingkatkan agar dapat bekerja lebih akurat di lingkungan yang bising. Hasil analisis menunjukkan bahwa teknologi ini sangat potensial dalam membantu rumah sakit memahami kepuasan pasien, mengidentifikasi area yang perlu diperbaiki, dan merespons keluhan lebih efektif. Selain itu, teknologi ini juga sangat potensial untuk meningkatkan keterampilan komunikasi staf rumah sakit. Dengan demikian, teknologi pengenal suara dapat meningkatkan kualitas layanan dan pengembangan sumber daya manusia di rumah sakit.
Co-Authors Abdul Hakim Abdul Hakim Aditya, David Sulistiawan Ahda, Handika Naufal Aji S, Burhan Alamsyah, Nurwahyu Alnadya Yosabranka Aura Aprilia Kurnianti Aprilia Kurnianti Aprilia Kurnianti Arif Ahmad Fadlil Asep Setiawan Aura, Alnadya Yosabranka Burhan Aji S Devina Shifra Ramadhani Fadlil, Arif Ahmad Fathania Firwan Firdaus Fathur Rizko, Kauka Noor Frebian, Muhammad Rizki Joko Santoso Kauka Noor Fathur Rizko Khairullah Zikri Khairullah Zikri, Khairullah Kurnianti, Aprilia Kurnianti, Apriliya Laila Ma'rifatul Azizah Laila Ma’rifatul Azizah Lilis Kurniasari Muhammad Miftah Muhammad Rizki Frebian Nisrina Akbar Rizky Putri Novi Diah Wulandari Nurfitria Wulandari Puji Hastuti Robani, Anidah Shiffa Noor Amalya Siswahyudianto Slamet Riyadi Slamet Riyadi Sri Sundari Sri Sundari Sundari, Sri Susanto, Chayadi Oktomy Noto Syed Ahmad, Sharifah Sakinah Titis Wisnu Wijaya Titis Wisnu Wijaya Wahyu Ramdani Wahyu Ramdani Wijaya, Titis Wisnu Wulandari, Nurfitria