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All Journal ENGLISH FRANCA : Academic Journal of English Language and Education Journal Of World Science Jurnal Simki Postgraduate
Hadi Winarto, Hadi
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Religion Computer Science & IT Economics, Econometrics & Finance Education Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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CIPP Evaluation Model: Online In-service Teachers Training Program Conducted at English Language Education Study Program of Bengkulu University Kasmaini, Kasmaini; Hamzah, Syukri; Winarto, Hadi
ENGLISH FRANCA : Academic Journal of English Language and Education Vol 7, No 1 May (2023): ENGLISH FRANCA : Academic Journal of English Language and Education provides
Publisher : Institut Agama Islam Negeri (IAIN) Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29240/ef.v7i1.5871

Abstract

This study aims to evaluate the implementation of the teacher professional education program for teachers in positions that are carried out online at the Faculty of Education and Teacher Training at the University of Bengkulu. This research was conducted from September to November 2022 as a qualitative descriptive study. The instruments used were documentation, interviews, and questionnaires. Interviews were conducted with lecturers, PPG students, tutors, and school/madrasah policyholders. The questionnaire is used to see student or participant responses to the implementation of the online learning process. The CIPP evaluation model used focuses on evaluating the context, inputs, processes, and products. Sources of data were obtained from program managers, supervisors, PPG students, school/madrasah principals, tutors, and monitoring and evaluation (monev) results. The data analysis technique used is descriptive data analysis by interpreting the data from each evaluated aspect, then compared with predetermined criteria. Viewed from the context aspect, the FKIP UNIB PPG study program is under the Standard Operating Procedures as the organizer of PPG activities. From an input perspective, the PPG study program is supported by adequate human resources. All lecturers involved, educational staff, tutors, and students are by the program implementation guidelines. In the process aspect, the PPG FKIP UNIB study program has carried out PPG program activities following the SOP. This is evidenced by all the stages carried out in a structured and well-organized manner so that starting from the preparation and implementation processes go well. All well-patterned processes have an impact on the products produced. Referring to the high passing percentage of PPG participants and achieving a passing percentage proves the success of the PPG FKIP UNIB study program in implementing the PPG program. Other successes of the PPG study program have been accredited Superior. 
Pengembangan Model Pembelajaran Melalui Multimedia Macromedia Flash Pada Permainan Sepakbola Siswa Kelas VII SMPN 2 Sumbergempol Tulungagung Winarto, Hadi
Jurnal Simki Postgraduate Vol 2 No 1 (2023): Volume 2 Nomor 1 Tahun 2023
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (450.531 KB) | DOI: 10.29407/jspg.v2i1.262

Abstract

This research is research and development by going through the preliminary stages, developing learning designs, production, and product evaluation. After the production stage, then the product validation stage by media experts and material experts. Data were obtained through questionnaires about the quality of learning multimedia products regarding aspects of appearance, content/material, learning, and qualitative data suggestions and input used as material for improvement. Qualitative data is data obtained from questionnaires in the form of statements and not the results of calculating numbers analyzed with descriptive statistics and quantitative data is data obtained from numbers from initial assessments starting from small group trials and large group trials where to find out the success of the product to be developed. From the results of the large group questionnaire, students can be said to be very good where the frequency of 13 is very good, namely 86.67 and the frequency of 2 presentations is good, namely 13.33 and the results of student comments that learning using Macromedia Flash multimedia on learning material for football games is very fun and easy to understand. . This research produced a Macromedia Flash-based learning multimedia product for soccer games that students can use as companion material for soccer games. As for the validation of material experts and media experts "very good", while the assessment on the test obtained: display aspect score 4.35 (very good), content aspect score 4.27 (very good), learning aspect score 4.30 (very good). The overall average in the student trial is 4.25 including the "good" criterion.
Application of Data Mining Techniques in Healthcare: Identifying Inter-Disease Relationships through Association Rule Mining Haryanto, Haryanto; Winarto, Hadi; Juliane, Christina
Journal of World Science Vol. 3 No. 5 (2024): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v3i5.597

Abstract

This research focuses on the application of data mining techniques in a healthcare environment by utilizing patient visit data from Hospital X, coded with ICD-10 diagnoses. The purpose of this study is to explore the application of data mining techniques in a healthcare environment, specifically to identify the relationship between diseases using patient visit data from X Hospital. This research utilizes the FP-Growth algorithm method followed by Association Rule Mining to find frequent occurrences of diseases in the data set. The research process involved data pre-processing, transformation into binary format, and careful parameter setting (minimum support 0.95 and confidence 0.9). The results showed a strong association between chronic conditions such as hypertension and diabetes, which are prevalent in the patient population. This association provides insight into potential comorbidities and may assist healthcare providers in improving diagnosis accuracy and treatment effectiveness. This research has implications for the application of data mining techniques, demonstrating its potential in improving predictive analytics in healthcare and strategic planning. This approach not only aids in the efficient allocation of healthcare resources, but also aligns with the broader goal of improving personalized patient care.
Co-Authors Christina Juliane, Christina Hamzah, Syukri Haryanto Haryanto Kasmaini, Kasmaini