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All Journal Prosiding SIMKESNAS Jurnal Nasional Teknologi Informasi dan Aplikasinya
Ida Bagus Dwidasmara
Universitas Udayana
Biochemistry, Genetics & Molecular Biology Computer Science & IT Health Professions Medicine & Pharmacology Nursing Public Health

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RANCANG BANGUN DIGITAL PENEGAKAN DIAGNOSIS KEPERAWATAN DENGAN METODE FORWARD CHAINING MENINGKATKAN EFISIENSI KERJA PERAWAT DI RUMAH SAKIT Kadek Eka Swedarma; Ida Bagus Dwidasmara; Fransiska Tri Mulyani Hastuti
PROSIDING SIMPOSIUM KESEHATAN NASIONAL Vol. 1 No. 1 (2022): Simposium Kesehatan Nasional
Publisher : LPPM STIKES BULELENG

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Abstract

Kelemahan perawat dalam menegakkan diagnosis keperawatan secara akurat dan cepat berdampak terhadap efisiensi kerja perawat di rumah sakit. Pengambangan produk inovasi sangat diperlukan untuk mengatasi masalah tersebut. Penelitian ini bertujuan untuk mengetahui pengaruh penerapan diagnosis digital dengan metode forward chaining terhadap efisiensi kerja perawat di rumah sakit. Metode penelitian menggunakan rancangan Pre-eksperimental dengan pendekatan one group pre-post test design melalui pemberian instalasi sistem diagnosis keperawatan digital berbasis komputer pada ruang perawatan. Sebanyak 35 perawat dari rumah sakit sebagai partisipan dengan teknik purposive sampling. Efisiensi kerja diukur dengan menggunakan logbook sebagai catatan mengenai waktu perawat dalam pengkajian sampai menegakan diagnosis keperawatan. Analisis statistik menggunakan uji Wilcoxon signed ranks test dan Chi-square. Hasil penelitian menunjukkan bahwa 77,14% partisipan merasa mudah mengaplikasikan program, 90% memiliki kinerja yang efisien, 82,84% mengalai penurunan waktu setelah aplikasi program sebesar 4,80 menit (p=0,001). Pendidikan, status kepegawaian dan masa kerja merupakan faktor dominan yang mempengaruhi efisiensi kerja perawat. Implementasi diagnosis keperawatan digital dapat meningkatkan efisiensi kerja perawat di rumah sakit. Program aplikasi ini dapat direplikasi dan sebagai referensi dalam pemanfaatan teknologi dalam keperawatan.
Uji Performansi Algoritma Linear Regression dan Random Forest Regression pada Implementasi Sistem Prediksi Harga Rumah I Putu Teddy Dharma Wijaya; Ida Bagus Dwidasmara
Jurnal Nasional Teknologi Informasi dan Aplikasnya Vol 1 No 3 (2023): JNATIA Vol. 1, No. 3, Mei 2023
Publisher : Informatics Study Program, Faculty of Mathematics and Natural Sciences, Udayana University

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Abstract

Currently the house has become one of the needs that must be met. The price of a house is the main parameter that determines whether a person or organization buys or invests. In general, house prices are influenced by several factors, including building area, land area, number of bedrooms, number of bathrooms and number of garages. Currently, there are many websites devoted to providing information about buying and selling houses. This of course makes it easier for someone when looking for a house with the desired specifications without the need to come directly to the location. However, the house buying and selling platform does not provide a house price prediction feature that is in accordance with user specifications. This means someone who is planning to buy a house does not get an initial idea of the costs that must be spent to own the desired home. Therefore, in this study, researchers will design a web app-based house price prediction system that can make it easier for users to get predictions of the desired house price. In this study the prediction algorithms to be used are linear regression and random forest. Both algorithms will be analyzed for their performance and then the algorithm with the best level of accuracy will be applied as a predictive model which will be integrated with the user interface display. Keywords: House Prices, Linear Regression, Random Forest Regression
Co-Authors Fransiska Tri Mulyani Hastuti I Putu Teddy Dharma Wijaya Kadek Eka Swedarma