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All Journal Jurnal Studi Jender SRIKANDI Jurnal Kimia (Journal of Chemistry) Jurnal Matematika PIRAMIDA Buletin Udayana Mengabdi E-Jurnal Matematika Jurnal Pengajaran MIPA Jurnal Pengajaran Matematika dan Ilmu Pengetahuan Alam Jurnal Master Pariwisata (JUMPA) Indonesian Journal of Physics and Nuclear Applications BAREKENG: Jurnal Ilmu Matematika dan Terapan International Journal of Applied Sciences in Tourism and Events Jurnal Ilmiah Ilmu Sosial Journal on Education MAJAMATH: Jurnal Matematika dan Pendidikan Matematika Dinasti International Journal of Education Management and Social Science SEPREN: Journal of Mathematics Education and Applied Innovative: Journal Of Social Science Research INTERNATIONAL JOURNAL OF ECONOMIC LITERATURE International Journal of Social and Education (INJOSEDU) International Journal of Applied Mathematics and Computing.
Ni Luh Putu Suciptawati
Program Studi Matematika – FMIPA Universitas Udayana
Arts Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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IMPLEMENTASI METODE GEOGRAPHICALLY WEIGHTED REGRESSION (GWR) PADA KASUS DIARE BALITA DI PROVINSI JAWA TIMUR FELINA CHANTIKA PUTRI; NI LUH PUTU SUCIPTAWATI; MADE SUSILAWATI
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.p405

Abstract

Spatial regression is an extension of classical regression analysis by considering spatial elements of spatial elements. One of the model of spatial regressions is the Geographically Weighted Regression (GWR). In the analysis, the GWR method considers the differences in characteristics between regions (spatial heterogeneity). Diarrhea cases in toddlers can be modeled using the GWR model. This research aims to model and identify factors that significantly influence diarrhea cases in toddlers in each district in East Java Province in 2020 using GWR. There are two weighting functions used in this research that are fixed bisquare kernel and adaptive bisquare kernel. The results showed that the GWR model with the adaptive kernel bisquare weighting function was more suitable because it produced the highest value of 79.29%. The factors that have a significant effect in each district are different and the dominant factor is the provision of vitamin A to toddlers.
Pengelompokan Provinsi di Indonesia Menurut Indikator Indeks Kebahagiaan Menggunakan Metode Average Linkage Ni Wayan Rita Damayanthi; Ni Luh Putu Suciptawati; Ketut Jayanegara; Eka N. Kencana
Innovative: Journal Of Social Science Research Vol. 3 No. 4 (2023): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v3i4.4665

Abstract

Analisis klaster merupakan teknik peubah ganda yang bertujuan untuk mengelompokkan objek-objek menjadi beberapa kelompok berdasarkan karakteristik yang dimiliki oleh objek tersebut. Penelitian ini bertujuan untuk mengetahui hasil pengklasteran 34 provinsi Indonesia berdasarkan indikator indeks kebahagiaan tahun 2021 menggunakan metode average linkage. Penelitian ini menggunakan ukuran jarak Minkowski dan tujuh variabel indikator indeks kebahagiaan. Berdasarkan hasil penelitian diketahui bahwa pengklasteran dengan metode average linkage membentuk empat klaster dengan nilai akurasi sebesar 53,27 persen. Klaster 1 terdiri dari 24 provinsi, klaster 2 beranggotakan tujuh provinsi, klaster 3 terdiri dari dua provinsi, dan klaster 4 beranggotakan satu provinsi yaitu Provinsi Gorontalo.
Pemodelan Kasus Penyakit Difteri dI Provinsi Jawa Timur Menggunakan Pendekatan Regresi Spasial Ni Luh Putu Suciptawati; Made Susilawati; Hellena Hendarta
MAJAMATH: Jurnal Matematika dan Pendidikan Matematika Vol. 7 No. 1 (2024): Vol 7 No 1 Maret 2024
Publisher : Prodi Pendidikan matematika Universitas Islam Majapahit (UNIM), Mojokerto, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36815/majamath.v7i1.2857

Abstract

Diphtheria is a disease that is easily transmitted, caused by a bacterium called Corynebacterium Diphtheria which attacks the respiratory tract so that sufferers experience difficulty breathing and can cause death. This research aims to model the factors method which is suspected of influencing diphtheria cases in East Java Province using spatial regression The data used is secondary data obtained from publications East Java Province Health Profile 2018 and publications from the Central Agency East Java Statistics (BPS). The results showed that the best model obtained was Spatial Error Model (SEM) with AIC=286,16 dan R2=55,98%. Variabels that significantly influence diphtheria in East Java province in 2018 are: population aged 10 years and over with junior high school education, the number of DPT-HB immunizations, and the percentage of poor people
LAUNDRY BUSINESS QUALITY CONTROL USING THE DMAIC METHOD (CASE STUDY: DETER_GENT LAUNDRY NUSA DUA BRANCH) Ni Putu Sugiantari; Ketut Ananda Kuvera Witana; Made Dwitari Utami; Adisty Fayza Wiana; Ni Luh Putu Suciptawati
INTERNATIONAL JOURNAL OF ECONOMIC LITERATURE Vol. 2 No. 4 (2024): April
Publisher : Adisam Publisher

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

Abstract

The laundry business is one of the rapidly growing businesses in Indonesia. This development is due to factors such as the increasing busyness of the community, urbanization, and lifestyle changes. Deter_gent Laundry is one of the businesses that experienced a decrease in income and the number of customers from October to November in 2023 due to errors in recording the number of clothes, clothes fading, clothes shrinking, clothes lacking fragrance, and others. This study aims to analyze the problems that occur in the laundry process at Deter_gent Laundry and provide solutions to improve the quality of laundry services. This research uses the DMAIC method (Define, Measure, Analyze, Improve, Control). The results of this study indicate that the problems that occur are caused by several factors, namely human factors, method factors, material factors, and machine factors. To overcome these problems, it can be done by increasing the accuracy of employees, providing explanations, establishing and revising appropriate SOPs, and periodically controlling performance that deviates from SOPs. By implementing these solutions, it is hoped that the quality of laundry services at Deter_gent Laundry can improve and achieve the specified targets.
Pemodelan Kasus Pneumonia pada Balita di Indonesia Menggunakan Geographically Weighted Negative Binomial Regression Zulvatul Hasanah; Ni Luh Putu Suciptawati; Ida Ayu Putu Ari Utari
Journal on Education Vol 6 No 2 (2024): Journal on Education: Volume 6 Nomor 2 Tahun 2024
Publisher : Departement of Mathematics Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joe.v6i2.5405

Abstract

Pneumonia is one of the infectious diseases resulting in significant mortality rates among children under the age of five in Indonesia. In 2020, East Java recorded the most significant incidence of pneumonia among children under the age of five, with a total of 76,929 cases. Modelling pneumonia cases might be employed to ascertain the factors affecting it. The pneumonia case data in Indonesia exhibits overdispersion, indicating that the appropriate model to utilize is Negative Binomial regression. This study employed the Geographically Weighted Negative Binomial Regression (GWNBR) model to analyze the distribution of pneumonia cases among children in Indonesia, which exhibited different characteristics and data variety. The modelling results indicated that using adaptive bisquare kernel weighting identified five different groups. These groups were determined based on the predictor variables that significantly affected the number of pneumonia cases among children under the age of five in Indonesia.
Analisis Pola Sebaran Kasus TBC di Jawa Barat Dengan Pendekatan VTMR dan Autokorelasi Spasial Luh Gde Trishia Damayanti; Ni Wayan Liana Sukmawati; Ni Putu Ananda Puspita Sari; Ni Luh Putu Suciptawati; I Made Eka Dwipayana
Journal on Education Vol 6 No 3 (2024): Volume 6 Nomor 3 Tahun 2024
Publisher : Departement of Mathematics Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joe.v6i3.5498

Abstract

The highest Tuberculosis cases were observed in West Java Province. One of the factors are suspected to be the cause is the relationship between neighboring regions. The spread of disease between these areas forms a distribution pattern such as clustered, dispersed, and random which can be detected by the VTMR, Moran's I, and LISA methods. The results of the study with data on Tuberculosis Rates in West Java Province in 2021 showed that with the VTMR method, the distribution pattern of this disease is clustered. Using the spatial autocorrelation such as Moran's I and LISA, it was found that the distribution pattern formed was random. In the LISA test, West Bandung Regency was obtained as a significant area of autocorrelation. While in terms of LISA map visualization, Tasikmalaya, Sukabumi, and West Bandung regencies have a significant effect on the occurrence of spatial patterns. There is a difference in the number of variables that have a significant effect on the calculation in hypothesis testing and GEODA visualization. This indicates that there are variations in spatial patterns between these variables, such as some variables that can form significant groups while others do not.
KAUSALITAS ANTARA ANXIETY, SOCIAL PHOBIA TERHADAP PEMAIN VIDEO GAME ALEXANDER JOSEPH RIADI; I KOMANG GDE SUKARSA; NI LUH PUTU SUCIPTAWATI; EKA N. KENCANA; MADE SUSILAWATI; G.K. GANDHIADI
E-Jurnal Matematika Vol 13 No 1 (2024)
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.2024.v13.i01.p437

Abstract

Life satisfaction is one of the most ambigious concept to take a hold on. One’s degree of life satisfaction can differ from other person even though they have a realtively similliar life. This research studies people who play video games regularly (gamers) from the age of eighteen to fifty six. As one of the common trait or stereotipically seen that gamers have difficulty in social aspect of their lifes. Using Structural Equation Modeling (SEM), the research will try to confirm the relationship between anxiety and social phobia toward life satisfaction. The final model shows that anxiety and social phobia shows a significant negative affect towards life satisfaction of gamers.
A ANALISIS POLA SEBARAN SPBU DI KOTA DENPASAR Suciptawati, Ni Luh Putu; Dipa, I Putu Gede Prada; Pradantya Putra, Nyoman Gede Mas
Sepren Vol 5 No 01 (2023): Edisi November 2023
Publisher : Prodi Pendidikan Matematika FKIP Universitas HKBP Nommensen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36655/sepren.v5i01.1224

Abstract

The existence of public fuel filling stations (SPBU) is crucial in big cities so that vehicle mobility in the city can run smoothly. Denpasar City with an area of ​​127.78 km2 consisting of four sub-districts has 49 gas stations. Until now, the distribution pattern of gas stations in the city of Denpasar is not yet known. This study aims to determine the pattern of distribution of gas stations in Denpasar city. To obtain data, the distance between one gas stations and the nearest gas stations are measured using GPS. By using the nearest neighbor method, it is found that the distribution pattern of gas stations in Denpasar city are random. The random distribution pattern shows that all sub-districts in Denpasar city have gas stations but not evenly distributed. With this result, it is hoped that if anyone wants to build a gas station, it is advisable to build it in an area where there is no gas station close by
Penerapan Metode K-means Pada Klasterisasi Provinsi di Indonesia Berdasarkan Indikator Indeks Kebahagiaan Damayanthi, Ni Wayan Rita; Suciptawati, Ni Luh Putu; Jayanegara, Ketut; Sukarsa, I Komang Gde; Kencana, Eka N.; Wijayakusuma, I Gusti Ngurah Lanang
Jurnal Matematika Vol 14 No 1 (2024)
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.2024.v14.i01.p172

Abstract

The happiness index is a measure that reflects individual well-being, thus playing an important role in the development of a region. The level of happiness in Indonesia is still significantly lower compared to other ASEAN countries. In relation to efforts to improve the happiness index in Indonesia, this study applies the K-means method to cluster the 34 provinces of Indonesia based on the indicators of the happiness index for the year 2021. The data used is sourced from publications by the Indonesian Central Bureau of Statistics with seven happiness index indicators and employing the Minkowski distance. The clustering results of the 34 provinces using the K-means method obtained four clusters with a cluster accuracy value of 71 percent. Cluster 1 consists of seven provinces with a fairly high average of seven attributes, cluster 2 consists of seven provinces is a cluster with a low average level of internal and external satisfaction, cluster 3 consists of four provinces with a high average of seven attributes, and cluster 4 consists of 16 provinces is a cluster with provinces with a fairly high average level of external satisfaction, but a low level of internal satisfaction.
MAP OF CRIME RATE VULNERABILITY ON JAVA ISLAND I Wayan Tedy Setiawan; Ni Luh Putu Suciptawati; I Made Eka Dwipayana
INTERNATIONAL JOURNAL OF SOCIAL AND EDUCATION Vol. 1 No. 5 (2024): August
Publisher : Pondok Pesantren Baitul Quran

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

Abstract

The level of vulnerability to crime in Indonesia remains high, thus effective preventive measures and collaboration from various parties are necessary to create a safer and more orderly environment. According to the Central Statistics Agency in 2022 the number of crimes in Indonesia in 2022 experienced a significant increase from the previous year. Based on Criminal Statistics in 2022 the number of crimes for the police level during 2022 Java Island occupies the top place in the crime rate in Indonesia. Countermeasures related to crime can be done by knowing the areas prone to crime. This study uses analytical methods that can show spatial autocorrelation, including the Moran Index and Local indicators of spatial association (LISA). The results show that there is spatial autocorrelation with a clustered pattern for the crime rate on the island of Java and districts / cities in Java which are classified as crime-prone / hotspot areas, namely Bogor, Gresik, West Jakarta, Central Jakarta, South Jakarta, East Jakarta, North Jakarta, Bekasi City, Depok City, Tanggerang City, South Tanggerang City, and Sidoarjo.
Co-Authors AA Sudharmawan, AA Adisty Fayza Wiana Agnes Juliet Bokings AGUSTINUS ANGELAUS ETE ALEXANDER JOSEPH RIADI ANAK AGUNG ISTRI AYU PRATAMI Anresangsya Pria Satvika AYU SANDRA TIARA DEWI Damayanthi, Ni Wayan Rita Desak Putu Eka Nilakusmawati Dipa, I Putu Gede Prada Eka N Kencana EKA N. KENCANA EKA N. KENCANA FELINA CHANTIKA PUTRI G. K. GANDHIADI G.K. GANDHIADI GUSTI AYU MADE CANDRA RINI Hellena Hendarta I GEDE ARI SUDANA I GEDE ARY SUARTAMA I GEDE GANDEVA UMBARA I GEDE MAHA HENDRA PRATAMA I GEDE RENDIAWAN ADI BRATHA I Gusti Ayu Made Srinadi I KOMANG GDE SUKARSA I MADE ANOM ARIAWAN I Made Eka Dwipayana I MADE EKA DWIPAYANA I Nengah Simpen I Nyoman Widana I PUTU ARISTA YASA I Putu Eka Nila Kencana I PUTU GEDE DIAN GERRY SUWEDAYANA I Putu Winada Gautama I WAYAN RIAN PRATAMA I WAYAN SUMARJAYA I Wayan Sumarjaya I Wayan Tedy Setiawan I.G.A. DIAH SULASIH Ida Ayu Putu Ari Utari Ida Ayu Putu Ari Utari Ida Ayu Putu Ratna Dewi IDA AYU SRI PADMINI KADEK ANDREI PRABAWA KADEK ANDRIANI DWI PRATIWI KADEK BUDINIRMALA KADEK NOVIA DWIJAYANTHI KADEK YUSA MAHENDRA Kencana, Eka N Kencana, Eka N. Ketut Ananda Kuvera Witana Ketut Jayanegara KOMANG AYU YULIANINGSIH Komang Dharmawan LAILATUL RIZKIANA Luh Gde Trishia Damayanti LUH PUTU ARI DEWIYANTI LUH PUTU IDA HARINI Luh Putu Trisna Darmayanti M Sianipar M. Asih Made Asih Made Asih Made Dwitari Utami Made Susilawati MAHMUDATUL AQIBAH MERARY SIANIPAR Mirah P Handayani N. M Asih N. WIDANA N.M. Asih NI GUSTI KETUT TRISNA PRADNYANTARI NI KADEK AYU PUJI ASTUTI Ni Ketut Tari Tastrawati NI KOMANG AYU SRI CAHYANI Ni Komang Jeni Frika Yanti NI LUH GEDE WIDIADNYANI NI LUH PUTU RATNA KUMALASARI NI LUH SUKERNI NI MADE ARY DHARMA WIDYA ASTUTI Ni Made Asih NI MADE METTA ASTARI NI MADE PUSPASARI Ni Made Puspawati NI MADE RARA KESWARI NI MADE SRI SUGIANTARI Ni Made Sri Wahyuni NI NENGAH RIKA PUSPITA Ni Nyoman Sri Artini Ni Putu Ananda Puspita Sari NI PUTU AYU DINITA TRISNAYANTI NI PUTU AYU MIRAH MARIATI NI PUTU IIN VINNY DAYANTI NI PUTU RINA ANGGRENI Ni Putu Sugiantari NI WAYAN AMANDA DEWI SULISTYANINGSIH Ni Wayan Liana Sukmawati Ni Wayan Rita Damayanthi NI WAYAN WIDYA EKARANI Pradantya Putra, Nyoman Gede Mas Pramesti, Ni Kadek Lia Cahyani Putu Rama Hari Bagaskara P. RAHMAD RAHMAD WIDODO Riadi, Alexander Joseph SANG AYU PUTRI INDRIA RANTASARI SRI DIANTINI Sulma, Sulma Wella Dhanuantari Wijayakusuma, I Gusti Ngurah Lanang Zulvatul Hasanah