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Perancangan Ontologi untuk Sistem Rekomendasi Tempat Makan di Bali Ni Putu Diva Damayanthi; Ida Ayu Gde Suwiprabayanti Putra
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 2 No. 4 (2024): JNATIA Vol. 2, No. 4, Agustus 2024
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JNATIA.2024.v02.i04.p19

Abstract

As we know, Bali is one of the world destinations and can develop its tourism well. Apart from being famous for its natural beauty nature, culture and friendly people, Bali also offers a variety of culinary delights for tourists that can be ordered at restaurants, tourist objects or at hotels there. Many recommendations for places or restaurants/eating places with various mainstay menus are needed to make it easier for tourists to find the food menus they want and meet their budget. In this research expected to be solved by combining the Methodology technique with a semantic ontology model. Designing an ontology model for restaurant/dining recommendations in Bali using the protégé application, the ontology model was developed into a structure for students with classes, attributes, and other elements arranged hierarchically. To get the right answers, the ontology assessment procedure using SPARQL queries is employed. 
Klasifikasi Jenis Obat Berdasarkan Gejala Yang Dimiliki Pasien Menggunakan Metode K-Nearest Neighbors (KNN) Ngakan Putu Bagus Ananta Wijaya; Ida Ayu Gde Suwiprabayanti Putra
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 2 No. 3 (2024): JNATIA Vol. 2, No. 3, Mei 2024
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JNATIA.2024.v02.i03.p21

Abstract

This research applies the K-Nearest Neighbors (KNN) algorithm to classify medicine types based on patient symptoms using a dataset from Kaggle with 200 rows and 6 columns. After preprocessing steps such as handling missing values, encoding categorical variables, and splitting data into training and testing sets, exploratory data analysis (EDA) was performed to understand the dataset's structure. The KNN model was evaluated with k values of 1, 2, and 3, finding the optimal k to be 3, achieving an accuracy of 77.50% with average precision of 0.76, recall of 0.69, and f1-score of 0.66. Lower accuracy was observed for k=2 (65.00%) and k=1 (67.50%), indicating that k=3 is the most effective for this dataset. These results suggest that while KNN is a viable method for classifying medicine types based on symptoms, larger datasets are recommended for improved accuracy. 
Perancangan Alat Pemberian Pakan Ikan Otomatis Pada Aquarium Berbasis Mikrokontroller AT89S52 I Gusti Bagus Ngurah Agung Brian Wijaya; Ida Ayu Gde Suwiprabayanti Putra
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 1 No. 4 (2023): JNATIA Vol. 1, No. 4, Agustus 2023
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JNATIA.2023.v01.i04.p17

Abstract

An important factor in keeping fish in an aquarium is the timeliness of feeding fish. Most of those who have a hobby of raising fish are worried about the feeding that must be done every day. Based on this, this final project designed and manufactured an automatic fish feeding device based on the AT89S52 microcontroller. So, a tool was designed that makes it easier to feed the fish automatically according to a predetermined schedule. The supporting components for scheduling fish feed include making a minimum circuit for the AT89S52 system as the brain of this tool which will later be loaded with a program using assembler language, RTC (Real Time Clock) as a timer, DC motor to rotate the valve opener for fish feed. 
Perhitungan Nilai Besaran Fisis Mammografi Jenis Histopatologi IDC dan ILC Anak Agung Ngurah Frady Cakranegara; Ida Ayu Gde Suwiprabayanti Putra
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 1 No. 3 (2023): JNATIA Vol. 1, No. 3, Mei 2023
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JNATIA.2023.v01.i03.p17

Abstract

In this study, the main objective was to calculate the range of physical values contained in mammography X-ray images and determine the physical quantities that are significant in differentiating between the histopathological types of ILC (Invasive Lobular Carcinoma) and IDC (Invasive Ductal Carcinoma). The research method involved collecting data from 152 mammograms consisting of 7 ILCs and 145 IDCs from doctor Sutomo Surabaya's radiology database. The range of physical values such as entropy, contrast, second angular moment, differential invest moment, mean, deviation, entropy of Hdiff, angular moment of Hdiff, and mean of Hdiff are calculated and compared between ILC and IDC using the Anova statistical test. The results showed that there were differences in the range of physical quantity values between ILC and IDC. Significant parameters in differentiating the two types of histopathology are mean1, mean2, mean3, and mean4. In conclusion, IDC has a higher peak than ILC, and the range of ILC physical quantities is higher than IDC.