Article Per Year (5 Year)
p-Index From 2021 - 2026
4.497
P-Index
This Author published in this journals
All Journal 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

Published : 15 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 15 Documents
Search

 1   2 
APLIKASI PEMODELAN FUZZY PADA INDIKATOR MAKROEKONOMI PROVINSI BALI Sukarsa, I Komang Gde; Kencana, I Putu Eka N.
Prosiding Seminar Nasional MIPA 2015: PROSIDING SEMINAR NASIONAL MIPA UNDIKSHA 2015
Publisher : Prosiding Seminar Nasional MIPA

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Sebagian besar data indikator makroekonomi merupakan data deret waktu yang umumnya diprediksi menggunakan model runtun waktu yang dikelompokkan ke dalam kelas pemodelan stokastik atau menggunakan model-model pemulus. Penelitian ini ditujukan untuk melihat kemampuan pemodelan fuzzy yang tergolong ke dalam soft modeling pada kasus data makroekonomi Provinsi Bali pada periode tahun 1990 2013. Indikator makroekonomi yang diprediksi adalah Pendapatan Domestik Regional Bruto (PDRB), Konsumsi, Pembentukan Modal Tetap Domestik Bruto (PMTDB), dan Ekspor Neto Provinsi Bali pada periode tersebut. Kelas pemodelan fuzzy yang digunakan adalah model Fuzzy Time Series (FTS) orde satu dengan fungsi keanggotaan yang dipilih adalah fungsi keanggotaan segitiga fuzzy (fuzzy triangular number). Hasil penelitian menunjukkan model FTS memberikan tingkat keakurasian prediksi yang tinggi, terlihat dari nilai Average Forecasting Error Rate (AFER) yang rendah. Nilai-nilai AFER untuk prediksi out-of-sample dari indikator PDRB, Konsumsi, dan PMTDB masing-masing sebesar 0,20 persen; 2,15 persen; dan 1,08 persen. Komparasi model FTS dalam memprediksi PDRB dengan formula makroekonomi untuk menghitung PDRB menunjukkan model FTS mengungguli formula makroekonomi dengan nilai AFER model FTS sebesar 0,20 persen sedangkan formula makroekonomi memberikan nilai AFER sebesar 4,00 persen.Kata kunci: AFER, fuzzy modelling, fuzzy time series, model makroekonomiAbstractMost of macroeconomic indicators are time series data. In general, time series data were predicted by using time series models which are classified into stochastic model or by applying exponential model. This research aimed to elaborate the performance of fuzzy modeling which is grouped into soft modeling in predicting the macroeconomic indicators for period 1990 2013 of Bali Province. The predicted indicators were Gross Domestic Product (GDP), Consumption, Gross Domestic Investment (GDI) and Net Export of Bali Province for that period. We applied first order Fuzzy Time Series (FTS) with membership function had been chosen is Fuzzy Triangular Number (FTN). The result showed FTS model gave high prediction rate, observed from its Average Forecasting Error Rate (AFER). The values for GDP, Consumption, and GDI were 0.20 percent, 2.15 percent, and 1.08 percent, respectively. In addition, for out-of-sample forecast of GDP, FTS outperformed classical macroeconomic formula for counting it with AFER as much as 0.20 percent while the formula had 4.00 percent.Keywords: AFER, fuzzy modelling, Fuzzy Time Series, macroeconomic model
Tanggapan Pemilih PemulaTerhadap Caleg Perempuan Pada Pemilu Legislatif (PILEG) 2019 Suciptawati, Ni Luh Putu; Sukarsa, I Komang Gde; Kencana, Eka Nila
Jurnal Ilmiah Ilmu Sosial Vol 6, No 2 (2020): Jurnal Ilmiah Ilmu Sosial
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jiis.v6i2.28475

Abstract

Representasi perempuan dalam legislatif sangatlah penting, keberadaan legislator perempuan diharapkan dapat meningkatkan peran perempuan dalam kebijakan publik seperti pengentasan kemiskinan, kemajuan pendidikan, dan dibidang kesehatan. Penelitian ini bertujuan untuk melihat bagaimana persepsi pemilih pemula terhadap partisipasi perempuan dalam pemilihan legislatif 2019. Data penelitian berupa data primer dengan menyebarkan kuesioner kepada 300 responden pemilih pemula di Denpasar dengan menggunakan purposive sampling. Metode analisis yang digunakan adalah regresi logistic biner. Hasil penelitian menunjukkan bahwa dari 300 responden 235 tidak setuju dengan kandidat perempuan, hanya 65 yang memilih kandidat perempuan. Faktor yang berpengaruh terhadap cara berpikir responden dalam memilih caleg adalah pendidikan dan keaktifan dalam berorganisasi.
APLIKASI PEMODELAN FUZZY PADA INDIKATOR MAKROEKONOMI PROVINSI BALI I Komang Gde Sukarsa; I Putu Eka N. Kencana
Prosiding Seminar Nasional MIPA 2015: PROSIDING SEMINAR NASIONAL MIPA UNDIKSHA 2015
Publisher : Prosiding Seminar Nasional MIPA

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Sebagian besar data indikator makroekonomi merupakan data deret waktu yang umumnya diprediksi menggunakan model runtun waktu yang dikelompokkan ke dalam kelas pemodelan stokastik atau menggunakan model-model pemulus. Penelitian ini ditujukan untuk melihat kemampuan pemodelan fuzzy yang tergolong ke dalam soft modeling pada kasus data makroekonomi Provinsi Bali pada periode tahun 1990 2013. Indikator makroekonomi yang diprediksi adalah Pendapatan Domestik Regional Bruto (PDRB), Konsumsi, Pembentukan Modal Tetap Domestik Bruto (PMTDB), dan Ekspor Neto Provinsi Bali pada periode tersebut. Kelas pemodelan fuzzy yang digunakan adalah model Fuzzy Time Series (FTS) orde satu dengan fungsi keanggotaan yang dipilih adalah fungsi keanggotaan segitiga fuzzy (fuzzy triangular number). Hasil penelitian menunjukkan model FTS memberikan tingkat keakurasian prediksi yang tinggi, terlihat dari nilai Average Forecasting Error Rate (AFER) yang rendah. Nilai-nilai AFER untuk prediksi out-of-sample dari indikator PDRB, Konsumsi, dan PMTDB masing-masing sebesar 0,20 persen; 2,15 persen; dan 1,08 persen. Komparasi model FTS dalam memprediksi PDRB dengan formula makroekonomi untuk menghitung PDRB menunjukkan model FTS mengungguli formula makroekonomi dengan nilai AFER model FTS sebesar 0,20 persen sedangkan formula makroekonomi memberikan nilai AFER sebesar 4,00 persen.Kata kunci: AFER, fuzzy modelling, fuzzy time series, model makroekonomiAbstractMost of macroeconomic indicators are time series data. In general, time series data were predicted by using time series models which are classified into stochastic model or by applying exponential model. This research aimed to elaborate the performance of fuzzy modeling which is grouped into soft modeling in predicting the macroeconomic indicators for period 1990 2013 of Bali Province. The predicted indicators were Gross Domestic Product (GDP), Consumption, Gross Domestic Investment (GDI) and Net Export of Bali Province for that period. We applied first order Fuzzy Time Series (FTS) with membership function had been chosen is Fuzzy Triangular Number (FTN). The result showed FTS model gave high prediction rate, observed from its Average Forecasting Error Rate (AFER). The values for GDP, Consumption, and GDI were 0.20 percent, 2.15 percent, and 1.08 percent, respectively. In addition, for out-of-sample forecast of GDP, FTS outperformed classical macroeconomic formula for counting it with AFER as much as 0.20 percent while the formula had 4.00 percent.Keywords: AFER, fuzzy modelling, Fuzzy Time Series, macroeconomic model
Tanggapan Pemilih PemulaTerhadap Caleg Perempuan Pada Pemilu Legislatif (PILEG) 2019 Ni Luh Putu Suciptawati; I Komang Gde Sukarsa; Eka Nila Kencana
Jurnal Ilmiah Ilmu Sosial Vol. 6 No. 2 (2020): Jurnal Ilmiah Ilmu Sosial
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jiis.v6i2.28475

Abstract

Representasi perempuan dalam legislatif sangatlah penting, keberadaan legislator perempuan diharapkan dapat meningkatkan peran perempuan dalam kebijakan publik seperti pengentasan kemiskinan, kemajuan pendidikan, dan dibidang kesehatan. Penelitian ini bertujuan untuk melihat bagaimana persepsi pemilih pemula terhadap partisipasi perempuan dalam pemilihan legislatif 2019. Data penelitian berupa data primer dengan menyebarkan kuesioner kepada 300 responden pemilih pemula di Denpasar dengan menggunakan purposive sampling. Metode analisis yang digunakan adalah regresi logistic biner. Hasil penelitian menunjukkan bahwa dari 300 responden 235 tidak setuju dengan kandidat perempuan, hanya 65 yang memilih kandidat perempuan. Faktor yang berpengaruh terhadap cara berpikir responden dalam memilih caleg adalah pendidikan dan keaktifan dalam berorganisasi.
PENDUGAAN PROPORSI RUMAH TANGGA MISKIN TINGKAT DESA DI PROVINSI BALI DENGAN METODE EMPIRICAL BEST LINEAR UNBIASED PREDICTION DAN BAYESIAN Sukarsa, I Komang Gde; Gandhiadi, I. G. K
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 2 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (437.711 KB) | DOI: 10.30598/barekengvol15iss2pp215-222

Abstract

Kebijakan pengentasan kemiskinan pada pemerintahan presiden Ir. H. Joko Widodo dilakukan melalui empat strategi kunci yang salah satunya adalah pemberdayaan kelompok masyarakat miskin. Ketersediaan informasi mengenai kemiskinan sangatlah minim padahal untuk menerapkan strategi kebijakan tersebut seharusnya dimulai pada kelompok masyarakat terkecil yakni masyarakat desa. Guna memperoleh informasi kemiskinan pada tingkat desa, penelitian ini menerapkan metode pendugaan area kecil sebagai akibat kurang efektifnya pendugaan langsung pada area kecil. Metode pendugaan area kecil yang umum digunakan yakni metode empirical best linear unbiased prediction (EBLUP), empirical Bayes (EB), dan metode hierarchical Bayes (HB). Hasil yang diperoleh pada pendugaan area kecil pada tingkat desa di Provinsi Bali menujukkan bahwa dugaan proporsi rumah tangga miskin di tingkat desa di Provinsi Bali berada di antara 0,00423 dan 0,03910 serta nilai mean square error yang berada di antara 0,0013 dan 0,1291 diperoleh melalui metode hierarchical Bayes, kemudian untuk metode empirical Bayes diperoleh dugaan proporsi rumah tangga miskin di antara 0,00423 dan 0,03909 serta nilai mean square error di antara 0,0011 dan 0,1288 dan metode empirical best linear unbiased prediction diperoleh dugaan proporsi rumah tangga miskin berada di antara 0,00425 dan 0,03910 serta nilai mean square error di antara 0,00010 dan 0,1291. Secara umum nilai mean square error berada di kisaran yang sama. Sehingga ketiga metode pendugaan tidak dapat disimpulkan yang lebih baik satu dengan yang lainnya.
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 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
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 DEWA AYU MADE SRI WIJAYATI UTAMI 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 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 AYU KADEK SARI PURNAMAYANTI 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 STEFANI PUTRI WULANDARI Tjokorda Bagus Oka TRI ALIT TRESNA PUTRA VANIA RISKASARI YR Wijayakusuma, I Gusti Ngurah Lanang Yasmin Roni Mz