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All Journal Jurnal Matematika Prosiding Seminar Nasional MIPA BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Ilmiah Ilmu Sosial Jurnal Cahaya Mandalika JOURNAL SCIENTIFIC OF MANDALIKA (JSM) E-Jurnal Matematika Jurnal Matematika
I KOMANG GDE SUKARSA
Mathematics Department, Faculty Of Mathematics And Natural Sciences, Udayana University
Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Transportation Other

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ANALYSIS OF COMMUNITY COMPLIANCE WITH THE COVID-19 HEALTH PROTOCOLS: A QUANTITATIVE ANALYTICAL APPROACH Sukarsa, I Komang Gde; Gandhiadi, GK
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 3 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss3pp1193-1202

Abstract

This study identifies the factors used in factor analysis that influence the compliance of the people of Bali Province to the COVID-19 health protocol. Based on the factor analysis results, the elimination of four variables from the initial 20 variables in the study because the low communality value was below 0.5. Thus, reducing the remaining 16 variables to six factors with a total variance of 74.8%. Six factors influenced Community compliance in Bali Province, namely someone who knows about the importance of health protocols (19,1%), trust in protocols (15,9%), someone infected with COVID-19 (12,2%), a sense of concern for themselves and their families (10,1%), government supervision and sanctions (9,3%), and the affordable price of masks (8,2%). Observing this study, the first factor that played a role in increasing adherence was knowledge about the importance of health care. There was a sense of trust in health protocols, and a less influential factor was the affordability of masks
CAUSALITIES OF MOTIVATION, SELF-RELATED BELIEFS, AND STUDENT ENGAGEMENT TOWARDS HIGH SCHOOL STUDENTS’ ACHIEVEMENT USING STRUCTURAL EQUATION MODELING Riadi, Alexander Joseph; Sukarsa, I Komang Gde; Suciptawati, Ni Luh Putu; Kencana, Eka N
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 4 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss4pp2307-2318

Abstract

Students’ academic performances is an important factor as it affects students’ chances of higher education and job opportunities. While cognitive factor (e.g., intelligence quotient) plays a major role in students’ performances in academic environment, it does not guarantee students’ academic achievement. Instead, researches shows that non-cognitive factor can affects student performance as well. Three non-cognitive factor that will be researched in this study are motivation, self-related beliefs, and engagement. Using Structural Equation Modeling (SEM) as the method of choice to accommodate the study of the factors. 699 of students’ sample was taken from six public high school in Denpasar to conduct the research. SEM is used for its ability to analyze latent factors using measurement model and its ability to estimate multiple structural relation simultaneously. The model with a Goodness-of-fit (GFI) score of 0.981 confirms that Motivation does significantly directly affects student performances. Self-related beliefs and Engagement on the other hand significantly directly affects Motivation, hence the two constructs significantly indirectly affect student achievement.
Analisis Konjoin Full-Profile Untuk Mengetahui Preferensi Konsumen Pada Produk Sepatu Mohamad Dwi Agus Arianto; I Komang Gde Sukarsa; I Gusti Ayu Made Srinadi
Journal Scientific of Mandalika (JSM) e-ISSN 2745-5955 | p-ISSN 2809-0543 Vol. 5 No. 5 (2024)
Publisher : Institut Penelitian dan Pengembangan Mandalika Indonesia (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/10.36312/vol5iss5pp221-227

Abstract

The fashion industry is an attractive and profitable business option. Currently, the need for fashion that reflects personality is very important, because first impressions have significant value. Someone who is able to give a positive first impression will be more accepted, appreciated and recognized by others. In this context, shoes are one of the crucial fashion products in improving appearance. Shoes selection is important so that consumers get maximum shoes and according to consumer preferences. One analysis that can be used to determine consumer preferences is conjoin analysis. This study aims to determine the level, attributes, and stimulus most considered by respondents in choosing expedition services by applying the full-profile method to conjoin analysis in forming a stimulus. The attributes and levels used are types of shoes models (loafers, bots, and convers), types of shoes materials (genuine leather, synthesis, and canvas), and shoe designs (high and low). The results of research conducted on 100 respondents show that the most prioritised attribute with a value of 0.437 is the type of shoe material. The level with the largest part-worth of each attribute is genuine leather (22.075). The most favourite stimulus is the high design bots shoe model using genuine leather.
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
KLASIFIKASI PENYAKIT SIROSIS HATI DENGAN CART Yasmin Roni Mz; I Komang Gde Sukarsa; I Gusti Ayu Made Srinadi
Jurnal Cahaya Mandalika ISSN 2721-4796 (online) Vol. 5 No. 1 (2024)
Publisher : Institut Penelitian Dan Pengambangan Mandalika Indonesia (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/jcm.v5i2.2123

Abstract

The nonparametric exploratory is a method that can be used to see the relationship between the dependent variable and the independent variable. One of the types of nonparametric exploratory methods is the CART. CART is a method that presents large amounts of data to be processed in the form of a decision tree so that it becomes valuable and easy to understand information. This research aims to build a decision tree model based on medical records from patients with liver cirrhosis using the CART. This research also used 16 independent variables of 276 data that will be used as research objects. The results of this study obtained a decision tree model with an independent variable. The first used as the root node is hepatomegaly because the hepatomegaly variable has a more homogeneous value compared to the other independent variables and that there were eight groups in this research. However, due to the nature of the CART method which is unstable and very sensitive to new data, and highly dependent on the number of samples, the accuracy rate in this study is less than 70%, this is because the data in one group is unbalanced if compared to data in the other group.
Small Area Estimation Untuk Mengestimasi Persentase Kebutuhan Rumah Sederhana di Kabupaten Buleleng Luh Devi Maharani Mecker; I Komang Gde Sukarsa; I Wayan Sumarjaya
Jurnal Matematika Vol. 15 No. 2 (2025)
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Science, Udayana University Gedung UKM, Ruang UKM 8 Lt 1, Kampus Bukit Jimbaran, Badung-Bali.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JMAT.2025.v15.i02.p193

Abstract

Data is a source of information to support the decision-making process of the object under study so that the availability of data is important to fulfill. Survey as one of the techniques used to provide data has weaknesses such as area parameters outside the design cannot be explained by the statistics generated. Small area estimation (SAE) is an indirect estimator method that can overcome the problems of survey data. SAE is used to estimate population or subpopulation parameters with limited sample size to produce statistics that are as precise as direct estimators. The general approach used in SAE is EBLUP. The topic in this research is the need for simple houses in Buleleng Regency. By estimating the percentage of simple housing needs for each sub-district in Buleleng through direct estimation and EBLUP, the results show that the estimation value of the direct estimator is not more precise than EBLUP indicated by the MSE output of the direct estimator which is greater than EBLUP. Based on the output of the estimation results with the EBLUP method, the results show that the highest and lowest percentage of housing needs are in Sukasada Sub-district at 67.05% and Banjar Sub-district at 37.19%, respectively.
METODE REGRESI MULTILEVEL UNTUK MENGIDENTIFIKASI FAKTOR-FAKTOR LAMA MASA STUDI MAHASISWA FMIPA UNIVERSITAS UDAYANA UTAMI, DEWA AYU MADE SRI WIJAYATI; SUSILAWATI, MADE; SUKARSA, I KOMANG GDE
E-Jurnal Matematika Vol. 15 No. 1 (2026)
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.2026.v15.i01.p497

Abstract

Hierarchical data is data that has a multilevel structure, where individuals belong to certain groups and variables are measured at different levels. Analysis of hierarchical data without considering group membership may result in bias due to violation of the independence assumption. Multilevel regression analysis is a statistical method to overcome this problem by modeling the data structure at several levels. This study aims to apply three-level multilevel regression analysis to identify factors that affect the study duration of undergraduate students at FMIPA Udayana University. In this data structure, students are at the first level, grouped into classes at the second level, and the classes are in study programs at the third level. The model uses random intercepts as well as exploring random slopes to assess differences in the influence of independent variables between study programs.
Co-Authors ADI PUTRAYASA ALEXANDER JOSEPH RIADI ANAK AGUNG ISTRI AYU PRATAMI Damayanthi, Ni Wayan Rita Desak Putu Eka Nilakusmawati DESAK PUTU PRAMI MEITRIANI DEWA AYU MADE DWI YANTI PURNAMI DIAN PRAMESTI DEWI DIAN RAHMAN Diana Diana DINI AMALIA PUTRI DOMINGGAS TEO DWI HERAYANTHI W. Eka N Kencana Eka N. Kencana EKA N. KENCANA EKA N. KENCANA EVI NOVIYANTARI FATIMAH G. K. GANDHIADI G.K. GANDHIADI Gandhiadi, GK Gandhiadi, I. G. K GEDE ARY PRABHA YOGESSWARA GUSTI AYU MADE ARNA PUTRI HANY DEVITA I GEDE AGUS JIWADIANA I GEDE SEKA SUYOGA I Gusti Ayu Made Srinadi I KETUT PUTRA ADNYANA I MADE ARYA ANTARA I MADE CANDRA SATRIA I MADE DANNY DANANJAYA I PUTU AGUS WIDHIANTARA I PUTU EKA IRAWAN I PUTU EKA N. KENCANA, I PUTU EKA N. I Putu Eka Nila Kencana I Wayan Sumarjaya I WAYAN WIDHI DIRGANTARA IA KOMANG MERIANI IDA AYU MADE SUPARTINI IDA AYU PRASETYA UTHAMI Isabel Divya Georgiana Walewangko KADEK DWI FARMANI Kencana, Eka N Kencana, Eka N. Ketut Jayanegara KOMANG AYU YULIANINGSIH Komang Dharmawan Luh Devi Maharani Mecker LUH KOMANG MARDIANI Luh Putu Trisna Darmayanti Made Susilawati MOCH. ANJAS A MODANA LOLITA Mohamad Dwi Agus Arianto NADIYA YUVITA RIZKI NGURAH GDE PRABA MARTHA NI GUSTI KETUT TRISNA PRADNYANTARI NI KADEK ARISKA DEWI NI KADEK SETIAWATI NI KETUT TRI UTAMI NI KOMANG AYU SRI CAHYANI NI LUH ARDILA KUSUMAYANTI NI LUH GEDE SINTA ARYATI Ni Luh Putu Suciptawati NI LUH SUKERNI Ni Made Asih NI MADE LASTI LISPANI NI MADE METTA ASTARI Ni Made Santiningsih NI MADE SEKARMINI NI MADE SUKMA PERTIWI NI MADE SUMA FRIDAYANI NI PUTU AYU DINITA TRISNAYANTI NI PUTU JULIANINGSIH NI PUTU NADYA AGUSVIANI NI WAYAN AMANDA DEWI SULISTYANINGSIH NI WAYAN NINING ISMIRANTI NI WAYAN YULIANI NISA HIDAYATI NOVA SARI BARUS NYOMAN GDE PRAJNAWIWEKA RATMASA TARAM PUTU AYU MAZIYYA PUTU EKA SWASTINI PUTU GDE BUDHA WIRYADANA PUTU MIRAH PURNAMA D. PUTU SUSAN PRADAWATI Ratna Sari Widiastuti REYNALDO PANJI WICAKSONO Riadi, Alexander Joseph Safitri, Asa Vira Tjokorda Bagus Oka TRI ALIT TRESNA PUTRA UTAMI, DEWA AYU MADE SRI WIJAYATI VANIA RISKASARI YR Wijayakusuma, I Gusti Ngurah Lanang Yasmin Roni Mz