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All Journal Jurnal Studi Jender SRIKANDI Jurnal Kimia (Journal of Chemistry) Jurnal Matematika PIRAMIDA Buletin Udayana Mengabdi 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 SEPREN: Journal of Mathematics Education and Applied JOURNAL SCIENTIFIC OF MANDALIKA (JSM) Jurnal Riset Rumpun Matematika dan Ilmu Pengetahuan Alam (JURRIMIPA) Innovative: Journal Of Social Science Research INTERNATIONAL JOURNAL OF ECONOMIC LITERATURE International Journal of Social and Education (INJOSEDU) Algoritma: Jurnal Matematika, Ilmu Pengetahuan Alam, Kebumian dan Angkasa International Journal of Applied Mathematics and Computing. Jurnal Matematika
Ni Luh Putu Suciptawati
Program Studi Matematika – FMIPA Universitas Udayana
Arts Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Memodelkan Angka Buta Huruf di Provinsi Nusa Tenggara Barat Anresangsya Pria Satvika; Ni Luh Putu Suciptawati; Made Susilawati
Journal on Education Vol 6 No 1 (2023): Journal On Education: Volume 6 Nomor 1 Tahun 2023
Publisher : Departement of Mathematics Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joe.v6i1.3099

Abstract

Illiteracy is one of the problems in education in Indonesia. The high illiteracy rate can be an obstacle in the world of education, resulting in a low Human Development Index. West Nusa Tenggara Province is one of the provinces in Indonesia with an illiteracy rate that is still above average with cases reaching 12.58% in 2018. The purpose of this research is to model and obtain factors that significantly affect the illiteracy rate in West Nusa Tenggara Province for the period 2016-2020. The method used in this research is panel data regression. The results obtained in this research show that the best model chosen to modelling the illiteracy rate in West Nusa Tenggara Province is the Fixed Time Effect Model panel data regression with R2 of 73.19%. The independent variables that have a significant effect are the number of poor people, gross regional domestic product (GRDP), primary school student-teacher ratio, and the percentage of households that use computers/laptops.
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
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.
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.
Application of Conjoint Analysis with Attributes Determined Against the Selection of Expedition Services Putu Rama Hari Bagaskara P.; Ni Luh Putu Suciptawati; Made Susilawati
International Journal of Applied Mathematics and Computing Vol. 2 No. 3 (2025): July : 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.v2i3.201

Abstract

This study aims to determine the level, attribute, and stimulus most considered by respondents in choosing expedition services. The method used is conjoint analysis by applying the conjoint analysis full-profile method to design the stimulus. The attributes and levels used are delivery type (ECO, REG, express, and same day), payment methods (cash and online transfers), service promotions (cost discounts and goods pick-up), and service responsiveness (responses to damage or loss of goods and responses to late delivery). The results of research conducted on 150 respondents showed that delivery type is the most preferred attribute with a value of 0,324. The levels with the largest part-worth of each attribute are REG (0.335), online transfers (0.210), cost discounts (0.270), and response to damage or loss of goods (0.250). The most popular stimulus is expedition services with standard shipping (REG), online transfers, cost discounts, and responses to damage or loss of goods.
IDENTIFICATION OF FACTORS IN SELECTING HIGH SCHOOL USING FACTOR ANALYSIS Suciptawati, Ni Luh Putu; Jayanegara, Ketut
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 (804.905 KB) | DOI: 10.30598/barekengvol16iss1pp083-090

Abstract

Parents want the best education for their children. Before starting the academic year, parents focus on finding the most suitable schools for their children. This study aimed to examine the factors affecting parents’ decision-making when selecting schools. A sample of 150 parents whose children are incoming high school students in 2020/2021 is involved in this study and selected using a snowball sampling technique and confirmatory factor analysis. This study has shown that the quality of the teachers is the factor that parents consider the most in their decision-making process. It is followed by the tuition and fee costs, the school facilities, and the school achievements.
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 Aulia Sari Pratiwi 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 EKA N. KENCANA FELINA CHANTIKA PUTRI G. K. GANDHIADI G.K. GANDHIADI Gusti Ayu Ariska Citra Dewi GUSTI AYU MADE CANDRA RINI Hellena Hendarta Hendarta, Hellena 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 Komang Triatmaja Putra 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 IPW Gautama 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 Kadek Kleo Dwi Handayani Ni Ketut Tari Tastrawati NI KOMANG AYU SRI CAHYANI Ni Komang Jeni Frika Yanti Ni Luh Gede Arun Dayanti Purwa 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 Eka Martini 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 Pulo, Miltiades Dewifortuna 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