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All Journal Surya Medika: Jurnal Ilmiah Ilmu Keperawatan dan Ilmu Kesehatan Masyarakat Journal of Intelligent Decision Support System (IDSS)
Maulana, M. Farhan
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Computer Science & IT Medicine & Pharmacology Nursing Public Health

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Evaluasi Program Sanitasi Total Berbasis Masyarakat Stop BABS Di Puskesmas Lanjut Kecamatan Singkep Pesisir Kabupaten Lingga Tahun 2020 Devis, Yesica; Alhidayati, Alhidayati; Maulana, M. Farhan
Surya Medika: Jurnal Ilmiah Ilmu Keperawatan dan Ilmu Kesehatan Masyarakat Vol 16, No 1 (2021)
Publisher : STIKes Surya Global Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (25.601 KB) | DOI: 10.32504/sm.v16i1.360

Abstract

Background of Study: STBM is an approach to change hygienic and sanitary behavior through community empowerment by means of triggering. Based on data from the Riau Islands Provincial Health Office in 2019, Lingga Regency is among the highest with 93% of villages implementing STBM, or there were 76 villages out of a total of 82 villages that have implemented STBM. The aims of this research is to determine the level of knowledge and behavior of respondents in an objective or verbal.  Methods : This research method was descriptive qualitative research by means of interviews and observations. Results : The results of this study were sufficient human resources in carrying out the STBM Stop BABS program. An adequate budget for program implementation. Infrastructure that does not meet the needs of health workers. Policies that are not in accordance with the requirements that have been set. Conclusion : The STBM program has been carried out by socialization to encourage the community to avoid open defecation which aims to achieve an Open Defecation Free (ODF) condition and monitoring is carried out by the puskesmas every 3 months. The target was not achieved due to the absence of village regulations stipulating the STBM Stop BABS program and the lack of experience of health workers. The village should make regulations related to the STBM program and special training for health workers. Keywords : Program Evaluation, STBM, Advanced Puskesmas, Singkep, BABS
Analysis of student sentiment towards the quality of final project guidance using the Support Vector Machine Algorithm Wijaya, Andi; Anan, M. Rifqi; Maulidi, Minan Fikri; Maulana, M. Farhan; Purnomo, Hadi; Arifin, Zainal
Journal of Intelligent Decision Support System (IDSS) Vol 7 No 4 (2024): December: Intelligent Decision Support System
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v7i4.280

Abstract

This research aims to analyze student sentiment towards thesis guidance services at Nurul Jadid University (UNUJA) using sentiment analysis methods with the Support Vector Machine algorithm. Thesis guidance services play a crucial role in shaping high-quality and competitive human resources within the university environment. However, students' sentiment assessments of these services are often complex and may differ from the perspectives of their advisors. The research approach used is quantitative analysis by collecting student feedback data through questionnaires and interviews. The text data from student responses is then processed to clean and format the data before being implemented with the Support Vector Machine algorithm. This algorithm will classify the sentiment into positive, negative, or neutral groups based on the information contained in the text responses. Based on the results of the conducted study, using the Support Vector Machine (SVM) method for sentiment analysis of thesis guidance quality at Nurul Jadid University, this study achieved an accuracy of 87%, precision of 88%, recall of 87%, and an F1 score of 86%.
Co-Authors AA Sudharmawan, AA Alhidayati, Alhidayati Anan, M. Rifqi ANDI WIJAYA Devis, Yesica Maulidi, Minan Fikri Zainal Arifin