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All Journal Jurnal Akuntansi Proceeding of International Conference Health, Science And Technology (ICOHETECH) Journal of Economics and Public Health
Sari, Devi Pramita
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions Industrial & Manufacturing Engineering Medicine & Pharmacology Public Health Social Sciences

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The Relationship of Leadership with the Implementation of Patient Safety Culture in Hospitals Fanny, Nabilatul; Amin, Nur Azma; Sari, Devi Pramita
Journal of Economics and Public Health Vol 3 No 2 (2024): Journal of Economics and Public Health: June 2024
Publisher : Global Health Science Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37287/jeph.v3i2.3907

Abstract

Patient safety training at Hospital X has only been attended by a few people in hospital management. Every month around 3-10 incidents are reported. In the reporting, unexpected events were found. Target: nurses in inpatient and outpatient rooms totaling 120 people. Method: analytical survey with a cross-sectional approach. The independent variable is leadership, the dependent variable is the implementation of patient safety culture. The sampling technique is total sampling. Data analysis uses univariate and bivariate analysis. Results: The characteristics of respondents are mostly 23-30 years old, with more females than males (74.2%). The highest last education is S.Kep.,Ners (38.3%) and D3 (61.7%). The longest work period is 6-10 years (48.3%). Leadership is in the good category (90%). The implementation of patient safety culture in hospitals shows good results (86.7%). The results of the Spearman Rank test obtained a P-value of 0.000, meaning that there is a relationship between leadership and the implementation of patient safety culture in hospitals. Conclusion: There is a relationship between leadership and the implementation of patient safety culture. Suggestion, it is expected that the hospital can sort out efforts to improve patient safety culture appropriately.
Development of an Image-Based Calorie Detection Model in Indonesian Food for Stunting Prevention Sari, Devi Pramita; Widodo, Sri; Mustofa, Khoirul
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2025: Proceeding of the 6th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/6d407123

Abstract

Stunting is a global health problem, especially in developing countries including Indonesia. One of the main causes of stunting is malnutrition, especially in children aged 0-23 months. Therefore, this study aims to develop an AI-based model to detect calories in Indonesian food images for stunting prevention, using the Transfer Learning method with AlexNet. In this article, we propose a new deep learning-based food image calorie detection model called, Alexnet Interactive Transfer Learning (AITL). AITL is built based on Alexnet's Convolution Neural Network architecture, and further modified at the last Convolution layer and classification layer. AITL was evaluated using a dataset from the Indonesian food database. Experiments were conducted on the dataset to detect food types and their calorific content. There are ten classes of authentic Indonesian food types, which include: Rendang, Bika Ambon, Pempek, Sate Ayam, Gado-gado, Ayam Pop, Kerak Telor, Rawon, Lemang, and Ayam Betutu. The accuracy of the developed AITL model reached 95.33%. The results of the tests conducted show that Alexnet-based AITL outperforms other CNNs in terms of accuracy and efficiency.
REAKSI PASAR MODAL TERHADAP PENGUMUMAN KEBIJAKAN PSBB : (EVENT STUDY PADA PERUSAHAAN PAKAIAN DAN BARANG MEWAH) Pramita Sari, Devi; Sari, Devi Pramita; Lating, Ade Irma Suryani
Jurnal Akuntansi Vol 18 No 2 (2024): Jurnal Akuntansi
Publisher : Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/jak.v18i2.5417

Abstract

This research examines the information content in government announcements regarding the implementation of Large-Scale Social Restrictions. Signaling theory assumes that published announcements are necessary signals or information for investors to make decisions regarding investment. The research methodology used is quantitative, using secondary data in the form of daily closing prices, stock trading volume, number of shares in circulation, and the IHSG index of clothing and luxury goods sector companies listed on the Indonesia Stock Exchange in 2020. The duration of observation is 30 days, starting from before the announcement and continuing 30 days after the announcement. The Kolmogorov-Smirnov normality test and paired sample t-test were used to test the hypothesis. The research results show no significant difference in the average actual return, average abnormal return, and average trading volume activity variables before and after implementing the Large-Scale Social Restrictions policy. These results show that the market did not react to the announcement of implementing the Large-Scale Social Restrictions policy because market players tended not to capture the information.
Co-Authors Ade Irma Suryani Lating Amin, Nur Azma Khoirul Mustofa Nabilatul Fanny Pramita Sari, Devi Sri Widodo