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All Journal Jurnal Mahasiswa Statistik Natural B JOIV : International Journal on Informatics Visualization Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer BAREKENG: Jurnal Ilmu Matematika dan Terapan
Ni Wayan Surya Wardhani
Prodi Statistika Jurusan Matematika FMIPA Universitas Brawijaya
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Mathematics Mechanical Engineering Physics Transportation

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KAJIAN ANALISIS REGRESI LINIER BERKELOMPOK Ariyanto, Danang; Mitakda, Maria Bernadetha; Wardhani, Ni Wayan Surya
Jurnal Mahasiswa Statistik Vol 1, No 3 (2013)
Publisher : Jurnal Mahasiswa Statistik

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PERBANDINGAN LAJU PERTUMBUHAN MODEL MORGAN MERCER FLODIN DAN GOMPERTZ Kusumastuti, Prawitra; Wardhani, Ni Wayan Surya; Soehono, Loekito Adi
Jurnal Mahasiswa Statistik Vol 1, No 4 (2013)
Publisher : Jurnal Mahasiswa Statistik

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PENDEKATAN MODEL PROPORTIONAL ODDS DAN ANALISIS DISKRIMINAN KERNEL PADA REGRESI RESPON ORDINAL Meilianawati, Putri; Sumarminingsih, Eni; Wardhani, Ni Wayan Surya
Jurnal Mahasiswa Statistik Vol 1, No 4 (2013)
Publisher : Jurnal Mahasiswa Statistik

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KETEPATAN KLASIFIKASI DENGAN ANALISIS REGRESI LOGISTIK DAN MULTIVARIATE ADAPTIVE REGRESSION SPLINES (MARS) PADA DATA DENGAN PEUBAH RESPON BINER Fitrianty, Delbra Andhini; Wardhani, Ni Wayan Surya; Soehono, Loekito Adi
Jurnal Mahasiswa Statistik Vol 1, No 4 (2013)
Publisher : Jurnal Mahasiswa Statistik

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ANALISIS REGRESI DEMING PADA PEUBAH PREDIKTOR YANG MEMUAT KESALAHAN PENGUKURAN Ramdan, Bayu Muhamad; Kusdarwati, Heni; Wardhani, Ni Wayan Surya
Jurnal Mahasiswa Statistik Vol 2, No 1 (2014)
Publisher : Jurnal Mahasiswa Statistik

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MENDUGA PERTUMBUHAN BOBOT KELINCI (Oryctolagus Cuniculus) DENGAN MODEL SCHUMACHER DAN MODEL GOMPERTZ Putri, Frida Aridiana; Soehono, Loekito Adi; Wardhani, Ni Wayan Surya
Jurnal Mahasiswa Statistik Vol 2, No 1 (2014)
Publisher : Jurnal Mahasiswa Statistik

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Modeling of Food Insecurity and Poverty with Geographically Weighted Multivariate Linear Model in Kabupaten Sampang Yusrina Nur Dianati; Ni Wayan Surya Wardhani; Rahma Fitriani
Natural B, Journal of Health and Environmental Sciences Vol 2, No 3 (2014)
Publisher : Natural B, Journal of Health and Environmental Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (554.544 KB) | DOI: 10.21776/ub.natural-b.2014.002.03.5

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The problem of food insecurity has long been the focus of attention and is very closely related to the problem of poverty in which the two are interrelated phenomena that have a causal relationship. Food insecurity and poverty is a package that is always the problem faced by the government both central and local government, especially in Sampang. Spatial regression models that have been described in general a univariate spatial model, in which the observations have only one response variable that depends on the location of the observation. Geographically Weighted Multivariat Linier Model a multivariate regression models were used to spatially resolve the influence of spatial heterogeneity caused by differences in the conditions of the location with another location. The purpose of this study was to establish Geographically Weighted Multivariat Linier Model (GWMLM) with a weighted cross – variogram gaussian on the problem of food insecurity and poverty in Sampang. Food insecurity and poverty is a phenomenon of spatial heterogeneity.  Based on the 10 sampled villages gained influence the percentage of households without access to electricity (X1), the percentage of main roads are adequate (X2) , the number of health facilities (X3) , and the percentage of malnutrition children (X4) against food insecurity and poverty differently in each location.
Spatial Analysis and Multiple Regression Approach for Determining Soil Organic Material in Sampang Regency Henny Pramoedyo; Ni Wayan Surya Wardhani; Eka Saraswati; Ria Rosilawati
Natural B, Journal of Health and Environmental Sciences Vol 1, No 1 (2011)
Publisher : Natural B, Journal of Health and Environmental Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (9.953 KB) | DOI: 10.21776/ub.natural-b.2011.001.01.4

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An organic matter is one of the main components of soil. It is very potential to influence condition or type of soil and further it helps the growth of plants. One of methods which can be used to measure the levels of organic matters in an area is remote sensing technology and Geographic Information Systems (GIS) by using satellites. Analysis could be done in two steps. First, in statistically analysis by using regression models. The equation models of C-Organics level in -0,849 + 0,017X1 - 0.008X3 + 0.011X4.  Second, in spatial analysis, it is to know the C-Organic distribution, and also using interpolation with spatial analysis technique which is Inverse Distance Weighted (IDW) methods. Next, testing a model estimation which have been obtained in Sampang. Through the validation analysis using t-paired test, resulting estimation model which have been obtained is able to estimate the C-Organic levels in Sampang which could be an alternative way to estimate the C-Organic levels in same area.
Clustering Pola Berpikir Siswa berdasarkan Aktivitas Belajar Siswa pada Media Interaktif menggunakan Metode t-Distributed Stochastic Neighbour (t-SNE) K-Means Rosa Nur Madinah; Ahmad Afif Supianto; Ni Wayan Surya Wardhani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 13 (2021): Publikasi Khusus Tahun 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Untuk dipublikasikan di JUITA: Jurnal Informatika
Improved Fuzzy Possibilistic C-Means using Artificial Bee Colony for Clustering New Student’s Financial Capability to Determine Tuition Level Satriyanto, Edi; Surya Wardhani, Ni Wayan; Anam, Syaiful; Mahmudy, Wayan Firdaus
JOIV : International Journal on Informatics Visualization Vol 8, No 4 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.4.3087

Abstract

Outliers in the dataset will affect the quality of the cluster, so a good clustering method is needed. Based on the Mahalanobis distance method, it is known that the research dataset has outliers. Clustering methods that are often used for this type of data are Fuzzy C-means (FCM), Possibilistic C-means (PCM), and Fuzzy Possibilistic C-means (FPCM). This study aims to develop a clustering method that is more robust to outliers by using the Artificial Bee Colony (ABC) algorithm to minimize the objective function of FPCM. This study produces a new algorithm called Artificial Bee Colony Fuzzy Possibilistic C-Means (ABCFPCM) so that the resulting clusters are not easily trapped in the local optimum. This study also provides cluster centroid initialization using K-Means++ to improve cluster quality. ABCFPCM performs best because it significantly increases the Silhouette value and the Between Sum Squares (BSS) and Total Sum Squares (TSS) ratio. ABCFPCM performance provides the best cluster quality of 72.16% based on the BSS/TSS ratio, FPCM of 70.71%, and FCM K-Means++ of 68.14%. K-Means++ in the cluster method does not affect cluster performance except for FCM, where cluster quality is slightly increased. The centroid results of 8 clusters as the best performance of ABCFPCM are used to determine the tuition rate level. The impact of this study is to improve the quality of FPCM performance because it is no longer trapped in a local optimum at the cluster centroid.
Co-Authors Ahmad Afif Supianto Amelia, Okky Ariska Aulia, Silvia Intan Danang Ariyanto Dianiati, Aldila Nur Edi Satriyanto Eka Saraswati Fakhrunnisa, Atmadani Rahayu Fariz, Yustian Al Fitrianty, Delbra Andhini Henny Pramoedyo Henny Pramoedyo Hidayati, Azizah Husnul Khatimah Ismi, Septi Nurul Kusdarwati, Heni Kusumastuti, Prawitra Loekito Adi Soehono Luthfatul Amaliana Maharani, Adinda Gita Meilianawati, Putri Mitakda, Maria Benadetha Mitakda, Maria Bernadetha Nugraheni, Listia Nugroho, Waego Hadi Pramana, Gilang Putra Prasetyo, Teguh Putri, Frida Aridiana Rahma Fitriani Rahmi, Nur Silviyah Ramadani, Betty Wulansari Ramdan, Bayu Muhamad Ria Rosilawati Rosa Nur Madinah Saputra, Yoyok Yuni Solimun, Solimun Suci Astutik Sumarminingsih, Eni Syaiful Anam Theresia Mitakda, Maria Bernadetha UMU SA’ADAH Wayan Firdaus Mahmudy Yusrina Nur Dianati