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All Journal SOCA: Jurnal Sosial Ekonomi Pertanian Jurnal Matematika E-Jurnal Matematika Prosiding Seminar Nasional MIPA AdMathEdu : Jurnal Ilmiah Pendidikan Matematika, Ilmu Matematika dan Matematika Terapan BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Ilmiah Ilmu Sosial Jurnal Cahaya Mandalika Jurnal Pendidikan dan Teknologi Indonesia Jurnal Bisnis Hospitaliti Journal of Tourism Economics and Policy LACULTOUR: Journal of Language and Cultural Tourism International Journal of Educational Research International Journal of Applied Mathematics and Computing.
I Putu Eka Nila Kencana
Mathematics Study Program, Faculty Of Mathematics And Natural Sciences, Udayana University
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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MENDUGA KUALITAS LAYANAN MASKAPAI DOMESTIK MENGGUNAKAN JARINGAN SYARAF TIRUAN MULIA YASMAN; I PUTU EKA NILA KENCANA; I GUSTI AYU MADE SRINADI
E-Jurnal Matematika Vol 12 No 1 (2023)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MTK.2023.v12.i01.p396

Abstract

Measurement of service quality is very important because it can determine the accuracy between consumer perceptions and expectations when receiving information before using the items or services. Measurement of service quality can be done using the service quality method developed by Parasuraman et al. (1990). The independent variables used refer to the dimensions of service quality, namely reliability, assurance, tangiable, empathy, and responsiveness. While the dependent variable is satisfaction. The measurement of service quality using an artificial neural network with a backpropagation algorithm is carried out by obtaining input data and target data from calculations using service quality. Testing on the artificial neural network is carried out in two stages, namely training data and testing data. The results are then compared with the target data on the service quality method to determine accuracy.
KLASIFIKASI PENYAKIT SIROSIS MENGGUNAKAN SUPPORT VECTOR MACHINE VANIA RISKASARI YR; I PUTU EKA NILA KENCANA; I KOMANG GDE SUKARSA
E-Jurnal Matematika Vol 12 No 2 (2023)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MTK.2023.v12.i02.p404

Abstract

Cirrhosis is one type of liver disease and is caused by forming fibrosis so that changes the liver structure become abnormal. Based on the presence of ascites, varicose veins, and bleeding, cirrhosis is divided into four clinical stages. This study aims to find the best classification model of cirrhosis using the support vector machine (SVM). SVM is a supervised learning method that aims to find the hyperplane with the maximum margin. In this study, the resulted model useful for determining the cirrhosis’ stage from patients. The variables to classify are age, gender, ascites status, hepatomegaly status, spiders status, edema status, total bilirubin, total cholesterol, amount of albumin, amount of copper, alkaline phosphatase level test results, SGOT test results, amount of tryglycerides, amount of platelets, and prothrombin time. By applying radial basis function kernel, combination of parameter C and that gives the best accuracy is determined. The final model using SVM with parameters C = 1 and = 0,6 is the best model with the accuracy value of 67,86 percent.
Community Empowerment in the Development of Bayan Tourism Villages in North Lombok District ASTITI, Anak Agung Eka Putri Dewi; MERTHA, I Wayan; KENCANA, I Putu Eka Nila
Journal of Tourism Economics and Policy Vol. 4 No. 3 (2024): Journal of Tourism Economics and Policy (July - September 2024)
Publisher : PT Keberlanjutan Strategis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38142/jtep.v4i3.1080

Abstract

Community empowerment is an important aspect in developing tourist villages. This is because the development of tourist villages uses a lot of resources owned by the community. The community has an important role in supporting the success of tourism village development so that powerless communities need to be empowered to create independence and economic prosperity for the community. This type of research is qualitative research using data collection techniques, namely interviews, documentation, observation, focus group discussions and literature studies. Interviews are a data collection method with both direct and indirect data sources. This study examines tourism potential, the role of the community and how to empower the community. Data sources were obtained from the head of Bayan Village, the head of the tourism awareness group, traditional leaders of Bayan Village and the community in Bayan Village to serve as sources. The village can be used as a tourist attraction so that it can invite tourists to come to the Bayan Tourism Village. The existence of this tourist village can increase income opportunities for the community and reduce unemployment. Empowerment is carried out by providing training to the Bayan village community about tourism so that they can take advantage of the opportunities that exist in the Bayan tourist village and can create their own employment opportunities. Having a tourist village can empower the community in Bayan Village, North Lombok Regency.
Penerapan Model Struktural Berhierarki pada Kualitas Layanan Shopee, Motivasi Berbelanja, dan Loyalitas Damanik, Veni Jean Gabriella; Kencana, I Putu Eka Nila; Gautama, I Putu Winada
Jurnal Matematika Vol 13 No 2 (2023)
Publisher : Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JMAT.2023.v13.i02.p162

Abstract

Technological advances affect human life, one of which is in the field of trade, namely the existence of an online buying and selling system through e-commerce. The results of research conducted by Ipsos at the end of 2021 on the competition of several e-commerce proved that Shopee is the most popular and widely used e-commerce by the people of Indonesia. This is evident from the quality of Shopee services considered good by consumers so that increase consumer interest and motivation to shop at Shopee and consumer loyalty to Shopee. Therefore, this study aims to determine whether there is an influence of Shopee service quality on shopping motivation and consumer loyalty. To answer the purpose of this study, a hierarchical structural equation modeling (SEM) method was used. Based on the design of the research model and the results of the structural model analysis in the study, it was proven that the service quality construct can explain the shopping motivation construct by 46,3%, while the service quality construct can explain the consumer loyalty construct by 36,5%. Thus, it can be concluded that the quality of service affects shopping motivation and consumer loyalty.
Image Classification Comparison Using Neural Network and Support Vector Machine Algorithm With VGG16 As Feature Extraction Method Aulia Wicaksono; I Putu Eka Nila Kencana; I Wayan Sumarjaya
International Journal of Applied Mathematics and Computing Vol. 1 No. 4 (2024): October: International Journal of Applied Mathematics and Computing
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijamc.v1i3.29

Abstract

Image classification is widely used in everyday life such as in car steering, closed-circuit television (CCTV), traffic cameras, etc. The implementation of image classification can be done using several methods, including neural network and support vector machine models. The neural network method is able to find the right weights that allow the network to show the desired behaviour while the support vector machine method has many dimensions and can overcome linear and non-linear data. In this research, feature extraction was carried out using VGG16 to increase accuracy. This research aims to find out how to implement the neural network and SVM algorithms to classify images and determine the results of analyzing the performance of the two methods. The data used in this study is secondary data consisting of 10 types of large wild cats with a total of 2339 training image datasets and 50 testing image datasets. The research stages consist of data augmentation, model design, model training, and model evaluation. Classification with the neural network model produced an accuracy of 96% and the support vector machine model produced an accuracy of 96%, which means that in a consistent training environment, the two models have the same performance.
Wakatobi Development Priorities as A Sustainable Tourism Destination Using the Analytical Hierarchy Process Method Putu Edi Dimas Saputra; I Gusti Ayu Made Srinadi; Made Susilawati; I Putu Eka Nila Kencana; Made Ayu Dwi Octavanny; G. K. Gandhiadi
International Journal of Educational Research Vol. 1 No. 3 (2024): September : International Journal of Educational Research
Publisher : Asosiasi Riset Ilmu Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijer.v1i3.46

Abstract

Wakatobi is one of the tourist destinations renowned for its underwater beauty, holding great potential to be developed as a sustainable tourism destination. This research aims to determine the priorities for sustainable tourism development in Wakatobi using the Analytical Hierarchy Process (AHP) method. The AHP method is employed to identify and prioritize various criteria and sub-criteria contributing to sustainable tourism development. Based on the research findings, infrastructure and facilities were found to be the highest priorities, with a focus on improving transportation infrastructure and public facilities. These findings indicate that the development of transportation infrastructure and public facilities is crucial to support the sustainability of tourism in Wakatobi.
Analisis Pemilihan Parameter pada Algoritma DBSCAN untuk Pengelompokan Titik Api di Indonesia Driyandita, Bernadeta; Kencana, I Putu Eka Nila; Wijayakusuma, I Gusti Ngurah Lanang
Jurnal Pendidikan dan Teknologi Indonesia Vol 5 No 3 (2025): JPTI - Maret 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.703

Abstract

Kebakaran hutan, gambut, wilayah pertanian, maupun wilayah urban dan industri menjadi salah satu ancaman terbesar bagi lingkungan, menyebabkan kerusakan ekosistem dan kerugian ekonomi yang signifikan. Penelitian ini mengusulkan optimalisasi pengelompokkan titik api di Indonesia sebagai salah upaya pencegahan kebakaran dengan menggunakan algoritma Density-Based Spatial Clustering of Applications with Noise (DBSCAN). Metodologi yang digunakan dalam penelitian mencakup pemrosesan data, pemilihan parameter tuning algoritma, dan evaluasi hasil klaster menggunakan metrik validasi internal yaitu Silhouette Coefficient (SC). Data penelitian diambil dari web FIRMS NASA berjumlah 12.708, dengan variabel yang digunakan yaitu longitude, latitude, bright_t31, brightness, fire radiative power, scan, dan track. Pada tahap pemrosesan dilakukan pembersihan dan standarisasi data memakai algoritma z-score. Selanjutnya percobaan klasterisasi dijalankan dengan mengubah-ubah nilai pada parameter epsilon (eps) sebesar 0.2, 2, 3, 4, 5, dan 10, yang dikombinasikan dengan nilai minimal point (MinPts) dari 2 sampai dengan 6.  Hasil pengelompokkan optimal yang ditemukan adalah pada saat percobaan dengan nilai eps 4 dan MinPts 4. Kondisi optimal tersebut menghasilkan 2 klaster dan 3 noise, dengan nilai SC sebesar 0.8022. Penelitian ini memberikan wawasan baru dalam pemetaan risiko kebakaran serta dapat digunakan untuk sistem pemantauan berbasis kecerdasan buatan.
Tourism Experience Economy, Tourist Engagement, & Overall Satisfaction in Creating Incentive to Share by Word of Mouth (WOM) among Foreign Tourists in Pinge Tourism Village, Bali, Indonesia Darmateja, I Made Sugita; Surata, I Ketut; Kencana, I Putu Eka Nila
LACULTOUR: Journal of Language and Cultural Tourism Vol. 4 No. 1 (2025): LACULTOUR: Journal of Language and Cultural Tourism
Publisher : Unit Pelayanan Bahasa, Politeknik Pariwisata Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52352/lacultour.v4i1.1836

Abstract

This study is aimed at analyzing the effect of tourism experience economy, tourism engagement, & overall satisfaction in creating an incentive to share word of mouth (WOM) among foreign tourists in Pinge Tourism Village, Bali, by applying the hierarchical model construct. Data from a sample of 41 respondents were collected within the research period from August to December 2019 to be used in the analysis of causal relationships. In this research model, tourism experience economy and tourist engagement are posited as second-order constructs that theoretically would affect the overall satisfaction as an antecedent of creating incentive for word of mouth (WOM). In the structural model analysis, the results found were that of tourism experience economy construct has significant effect to overall satisfaction with a coefficient value of 0.666; and overall tourist satisfaction also has significant, positive effect to the foreign tourists' incentive to share word of mouth (WOM) in Pinge Tourism Village, with path coefficient value of 0.497.
UNEMPLOYMENT RATE ESTIMATION IN BALI PROVINCE: A SMALL AREA ESTIMATION APPROACH Sukarsa, I Komang Gde; Gandhiadi, G. K.; Kencana, I Putu Eka Nila
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 1 (2022): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (659.268 KB) | DOI: 10.30598/barekengvol16iss1pp157-162

Abstract

Good development and economic growth increase the opportunities for people in the related areas to become more prosperous so that they can become a benchmark for the country's economy. One way that can be used to measure the level of development and economic growth is through microeconomic indicators such as the unemployment rate. Detailed information on the unemployment rate will certainly be a good consideration in the formation of economic policy. The development of estimation methods up to a very small area is very well used to estimate a parameter in a small area where there is not an adequate sample for use in direct estimation. This study discusses the unemployment rate at the sub-district level in Bali Province in 2020 with the result that estimating a small area using the empirical best linear unbiased prediction method gives a smaller mean square error value than the direct estimation method. The results obtained are that East Denpasar District has the largest unemployment rate of 8.49%.
ANALYSIS OF CONSUMER PREFERENCES IN CONSUMING PROCESSED COFFEE PRODUCTS AT CAFE NECTAR BALI Isabel Divya Georgiana Walewangko; I Komang Gde Sukarsa; I Gusti Ngurah Lanang Wijayakusuma; I Putu Eka Nila Kencana; I Gusti Ayu Made Srinadi; Ratna Sari Widiastuti
Jurnal Cahaya Mandalika ISSN 2721-4796 (online) Vol. 4 No. 3 (2023)
Publisher : Institut Penelitian Dan Pengambangan Mandalika Indonesia (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/jcm.v4i3.2104

Abstract

Coffee beverages have become a highly sought-after product, particularly in tourist areas that are favoured by both local and foreign tourists. For this reason, there are many business owners who want to expand their business with coffee as the main menu. Cafe Nectar Bali, not far from the tourist attraction Garuda Wisnu Kencana (GWK), is one of the places frequented by both locals and foreign tourists. The purpose of this study is to identify the characteristics consumers often consider when consuming processed coffee products at Cafe Nectar Bali and to understand the preferences of local residents and foreign tourists regarding processed coffee products offered. The research method used is the analysis of local and foreign tourist preferences using conjoint analysis techniques. The findings show that consumers are prioritizing the type of coffee and how it is served. Both locals and foreign tourists value the diversity feature more than the presentation method feature. Local consumers choose the stimulus of latte variant and hot serving methods. On the other hand, foreign tourists chose the stimulus of latte variant and the cold serving method. Coffee; Conjoint Analysis; Consumer Preferences
Co-Authors A. A. I. DWI FIBRIAYORA ADI PUTRAYASA AGUS EKA ARIESTA ALEXANDER HIRO WIBISONO ANAK AGUNG ISTRI AYU PRATAMI Anak Agung Putu Agung Suryawan Wiranatha ASTITI, Anak Agung Eka Putri Dewi Aulia Wicaksono Damanik, Veni Jean Gabriella Darmateja, I Made Sugita Desak Putu Eka Nilakusmawati DESAK PUTU PRAMI MEITRIANI Diana Diana DOMINGGAS TEO Driyandita, Bernadeta G. K. GANDHIADI G. K. GANDHIADI GEDE AGUS HENDRA YOGANGGA Gede Satria Suputra GUSTI AYU MADE ARNA PUTRI HANY DEVITA I GEDE HARDI KARMANA I GEDE SEKA SUYOGA I Gusti Ayu Made Srinadi I Gusti Ayu Oka Suryawardani I GUSTI NGURAH ARYA WANAYASA I KADEK TEGUH PRADANA I Ketut Satriawan I Ketut Surata I KOMANG GDE SUKARSA I KOMANG GEDE ANTARA I MADE ANOM ARIAWAN I MADE ARYA ANTARA I MADE DANNY DANANJAYA I Made Ramia Adnyana I Nyoman Widana I PUTU AGUS WIDHIANTARA I PUTU ARYA YOGA SUMADI I PUTU JERYANA I Putu Utama I Putu Winada Gautama I PUTU WINADA GAUTAMA I PUTU YUDANTA EKA PUTRA I Wayan Mertha I Wayan Rediyasa I Wayan Sumarjaya I Wayan Tika IDA AYU PRASETYA UTHAMI Ida Bagus Gde Pujaastawa Ida Bagus Kade Puja Arimbawa K. IMAMUDDIN KAMIL Isabel Divya Georgiana Walewangko JUEN LING KADEK BUDINIRMALA KADEK DWI FARMANI KADEK RISNA WITARI Ketut Jayanegara Komang Dharmawan LUH PUTU IDA HARINI MADE ARISTIAWAN JIWA ATMAJA MADE AYU DWI OCTAVANNY MADE PUTRI ARIASIH MADE SANJIWANI Made Susilawati Mahardika, Putu Harry MELINDA HERMANTO MOCH. ANJAS A MUHAMAD RIFAI MULIA YASMAN NGURAH GDE PRABA MARTHA Ni Kadek Emik Sapitri NI KADEK PUSPITAYANTI NI KADEK SETIAWATI Ni Ketut Tari Tastrawati NI LUH ARDILA KUSUMAYANTI Ni Luh Putu Ayu Fitriani Ni Luh Putu Suciptawati Ni Made Asih Ni Made Santiningsih NI MADE SUMA FRIDAYANI NI PUTU ANIK MAS RATNASARI NI WAYAN ARNI YANITA NI WAYAN EKA SURYA ARTINI NI WAYAN NINING ISMIRANTI NOVA SARI BARUS Putu Edi Dimas Saputra PUTU EKA SWASTINI Putu Harry Mahardika Putu Harry Mahardika PUTU NOPITA PURNAMA NINGSIH RAHMAD RAHMAD WIDODO Ratna Sari Widiastuti REYNALDO PANJI WICAKSONO SLAMET SAMSUL HIDAYAT SRI DIANTINI Tjokorda Bagus Oka TRISNA RAMADHAN VANIA RISKASARI YR VICTOR MALLANG Wijayakusuma, I Gusti Ngurah Lanang