Article Per Year (5 Year)
p-Index From 2021 - 2026
2.612
P-Index
This Author published in this journals
All Journal Media Statistika BAREKENG: Jurnal Ilmu Matematika dan Terapan Beta: Jurnal Tadris Matematika Jurnal Pengabdian Magister Pendidikan IPA Jurnal Aplikasi Statistika & Komputasi Statistik EIGEN MATHEMATICS JOURNAL Jurnal Matematika UNAND Jurnal Gema Ngabdi Variance : Journal of Statistics and Its Applications Jurnal Varian Jurnal Pengabdian Masyarakat Sains Indonesia (Indonesian Journal Of Science Community Services) Prosiding Konferensi Nasional PKM-CSR Jurnal Karya Pengabdian Teknik Mesin Jurnal Pepadu International Journal of Computing Science and Applied Mathematics-IJCSAM
Mustika Hadijati
Program Studi Matematika, FMIPA, Universitas Mataram
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Mathematics Mechanical Engineering Nursing Physics Public Health Social Sciences Transportation Other

Published : 31 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 31 Documents
Search

 1   2   3   4 
Peranan Statistika dan Pengembangan Karakter dalam Menghadapi Tantangan Era Revolusi Industri 4.0 dan Big Data pada SMAN 1 Praya Agus Kurnia; Mustika Hadijati; Desy Komalasari; Nurul Fitriyani
Jurnal Gema Ngabdi Vol. 2 No. 1 (2020): Jurnal Gema Ngabdi
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jgn.v2i1.50

Abstract

The development of science and technology provides changes to every aspect of human life including social, economic, educational and industrial changes which are now entering stage 4.0. The Era of the Industrial Revolution 4.0 is identical to the Internet of Things which produces Big Data that cannot be processed with conventional devices and requires special analysis. These changes require human resource development in science, education and character in order to continue to compete with the global world, especially the younger generation who will fill the industrial forward. The problem arises because most of the educational outcomes lack a link and match or a good match between tertiary education which causes students to feel wrong about their majors or the incompatibility of their needs and abilities in the industrial world which makes it difficult for them to find a work. Therefore, coaching efforts are needed so that students can be aware and prepare themselves to improve their quality both by increasing hardskills and soft skills to meet these needs. This community service activity is carried out by SMAN 1 Praya as one of the best high schools and is a reference school in West Nusa Tenggara. The method used is the direct learning method that is evaluated using self-assessment techniques conducted by students using google form. Evaluation results show an increase in students' knowledge of statistics and character development needed in the face of the industrial revolution 4.0 and Big Data after they have participated in this dedication activity.
Pelatihan Pembuatan Media Pembelajaran Matematika Interaktif Berbasis Microsoft Powerpoint di MA Attamimy Lombok Tengah Zulhan Widya Baskara; Nurul Fitriyani; Mustika Hadijati; Lisa Harsyiah; Zulhan Widya Baskara
Jurnal Pengabdian Masyarakat Sains Indonesia Vol. 3 No. 2 (2021)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (462.553 KB) | DOI: 10.29303/jpmsi.v3i2.147

Abstract

Madrasah Aliyah (MA) Attamimy adalah yang berada di bawah naungan Yayasan Pondok Pesantren Attamimy. MA Attamimy ini memiliki visi dan misi untuk melahirkan manusia-manusia yang berimtaq, berakhlak mulia, serta mampu bersaing menghadapi tantangan zaman global. Pada dasarnya, MA Attamimy ini telah memilki fasilitas komputer beserta akses internet yang cukup memadai, namun penggunaannya belum digunakan secara maksimal. Masalah lain yang juga terjadi adalah munculnya istilah mathematics phobia di kalangan siswa di MA Attamimy. Beberapa kesan negatif mengenai ilmu sains dan matematika ini mengharuskan penyampaian materi dan proses pembelajaran di kelas harus dikemas semenarik mungkin. Tujuan dilakukannya kegiatan Pengabdian kepada Masyarakat ini adalah dalam rangka pemanfaatan internet dan Microsoft PowerPoint dalam membuat media pembelajaran yang interaktif. Berdasarkan kegiatan Pengabdian kepada Masyarakat yang dilakukan di MA Attamimy, perlu untuk dilakukan kegiatan lanjutan sebagai bentuk kesinambungan kegiatan. Microsoft PowerPoint sendiri telah dimanfaatkan dalam membuat media pembelajaran interaktif oleh peserta kegiatan Pengabdian kepada Masyarakat, hanya saja perlu ditingkatkan pemanfaatan fitur-fitur, salah satunya fitur hyperlink, sehingga dapat meningkatkan kualitas pembelajaran.
Factor Extraction and Bicluster Analysis on Halal Destinations in Lombok Island Desy Komalasari; Mustika Hadijati; Nurul Fitriyani; Agus Kurnia
Jurnal Varian Vol 4 No 1 (2020)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v4i1.743

Abstract

Indonesia is one of the countries currently developing the concept of halal tourism. Halal tourism includes many variables that are related to each other, which need to be grouped into several main factors that affect tourist visits. This study was conducted to group the variables associated with halal tourism visits to Lombok Island using factor analysis and to classify sub-districts and halal tourism destinations on Lombok Island using the Plaid Bicluster algorithm. Based on the analysis using the main component extraction technique in factor analysis with varimax rotation, it can be concluded that the 9 halal tourism characteristic variables can be grouped into 2 main factors. Furthermore, by using the Plaid Bicluster algorithm, 2 Bicluster were produced. There were 7 sub-districts and 9 destinations formed in Bicluster I, and 8 sub-districts and 3 destinations formed in Bicluster II.
Spline and Kernel Mixed Nonparametric Regression for Malnourished Children Model in West Nusa Tenggara Muhammad Sopian Sauri; Mustika Hadijati; Nurul Fitriyani
Jurnal Varian Vol 4 No 2 (2021)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v4i2.1003

Abstract

Health sector development is essential to improve human life quality, especially in West Nusa Tenggara (NTB) Province. Based on data from the NTB Provincial Health Office from 2011 to 2016, children under five suffering from malnutrition continued to increase, caused by several factors that affected the incident. Therefore, appropriate analysis is needed to model children who suffer from malnutrition in NTB Province in 2016, consisting of 10 districts based on the variables that influence it. The analysis in this study was carried out using a nonparametric regression mixed-model spline truncated and kernel. The estimation of the nonparametric regression curve depends on the optimal knot points and bandwidths parameter. Therefore, in determining the optimal knot points and bandwidths obtained from Generalized Cross-Validation (GCV). Based on the analysis that has been done, we obtained a nonparametric regression mixed-model spline truncated and kernel optimal knot points, such as for each variable and optimum bandwidths, such as and , with the value of GCV. The mixed model acquired has a good model by considering the values of and MSE. Besides, the MAPE value indicated a high degree of accuracy, so that the model obtained has an excellent forecast.
Analisis Persepsi Mahasiswa Terhadap Kualitas Merek Sepeda Motor dengan Metode Multidimensional Scaling (MDS) Qomaria Sinta Sari; Mustika Hadijati; Mamika Ujianita Romdhini
Beta: Jurnal Tadris Matematika Vol. 6 No. 1 (2013): Beta Mei
Publisher : Universitas Islam Negeri (UIN) Mataram

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

Abstract

Kebutuhan masyarakat akan alat transportasi yang dapat mendukung segala aktifitas dan mobilitas mereka, khususnya sepeda motor, disambut baik oleh kalangan produsen sepeda motor dengan semakin banyaknya merek-merek sepeda motor yang ada dengan keunggulan yang ditawarkan oleh masing-masing merek sepeda motor. Karena itu dirasa perlu untuk mengetahui persepsi konsumen terhadap kualitas sepeda motor, khususnya mahasiswa yang dalam hal ini adalah mahasiswa Universitas Mataram. Penelitian ini bertujuan untuk mengetahui peta persepsi mahasiswa Universitas Mataram terhadap kualitas merek sepeda motor dengan metode MDS. MDS merupakan salah satu prosedur yang digunakan untuk memetakan peta persepsi atau preferensi konsumen yang menggunakan kualitas merek sepeda motor, yang diperoleh dengan survei langsung menggunakan kusioner. Responden diminta menilai preferensi merek sepeda motor, penilaian menggunakan skala numerik yang memiliki dua kutub ekstrem ( 1 = kriteria yang sangat diinginkan sampai 5 = kriteria yang sangat tidak diinginkan). Hasil penelitian menunjukan model yang terpilih adalah model dengan 2 dimensi dengan kemampuan menjeaskan keragaman responden sebesar 95% . Nilai STRESS model diperoleh sebesar 2,38 %, artinya model MDS terpilih sempurna untuk memodelkan pemasaran sepeda motor, untuk dimensi 1 adalah harga beli dan dimensi 2 adalah Model, diperoleh sepeda motor yang paling bersaing adalah merek Vario, peringkat ke-2 adalah merek Beat, peringkat ke -3 adalah sepeda motor dengan merek-merek Mio dan Soul, dan peringkat terakhir adalah merek-merek Scoopy, Spin, Xeon, Skydrive dan Nex.
Model Statistical Downscaling Nonparametrik pada Simulasi Data Curah Hujan Harian Pos Jurang Malang Daerah Aliran Sungai Jangkok Mustika Hadijati; Desy Komalasari; Irwansyah Irwansyah
Eigen Mathematics Journal In Press Desember 2018
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (292.719 KB) | DOI: 10.29303/emj.v2i2.12

Abstract

The prediction of river water discharge can be determined by developing a river water discharge model based on climate information, especially rainfall information. This research aims to obtain a simulation of rainfall data that will be used to river water discharge modeling. The simulation of rainfall data is obtained using statistical downscaling model which develop the functional model between global climate data and local climate data. Daily precipitation of General Circulation Model (GCM) is used to be predictor variables. It is global climate data.. And, daily rainfall of Jangkok watershed, the local climate data, is used to be response variable.. In order to reduce the dimension of GCM global data, GCM data is projected to a litle number of  variable using classification and regression tree (CART) method. Then, the projection variables are used to develop statistical downscaling model of rainfall based on Kernel nonparametric regression. Daily rainfall data of Jurang Malang station, Jangkok watershed, is simulated based on the model obtained. 
Model Regresi Nonparametrik Deret Fourier pada Pola Data Curah Hujan di Kota Mataram Widiya Tri Astuti; Mustika Hadijati; Irwansyah -
Eigen Mathematics Journal In Press Desember 2018
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (346.167 KB) | DOI: 10.29303/emj.v2i2.16

Abstract

Rainfall is one of the elements of the climate that has influence on people's lives in West Nusa Tenggara Province. Thecapital city of West Nusa Tenggara Province (NTB), namely the City of Mataram, in December 2016 was affected byflood disaster due the rainfall increation. This causes all activities in the City of Mataram paralyzed. This study aimed tomodelling the rainfall and to determine the rainfall grade prediction in the City of Mataram in 2017. The method usedwas nonparametric regression of Fourier series. Based on the results of the analysis that has been committed, the bestFourier series of nonparametric regression model obtained at the Selaparang station was a model with 101 number ofknots and 0.959116 value of R2 . For the Ampenan station, the best model obtained with 101 knots and 0.966992 valueof R2 . As well as for the Cakranegara station, the best model obtained with 106 number of knots and 0.987778 value ofR2 .
Estimasi Parameter Distribusi Mixture Eksponensial dan Weibull dengan Metode Bayesian Markov Chain Monte Carlo Ulfa Destiarina; Mustika Hadijati; Desy Komalasari; Nurul Fitriyani
Eigen Mathematics Journal Vol. 2 No. 1 Juni 2019
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (419.669 KB) | DOI: 10.29303/emj.v1i1.30

Abstract

Dalam estimasi parameter, kadangkala terdapat beberapa permasalahan yang menuntut penyelesaian dengan suatu distribusi mixture atau distribusi campuran. Penelitian ini bertujuan untuk menerapkan estimasi parameter distribusi mixture eksponensial dan Weibull pada data simulasi dengan metode estimasi Bayesian Markov Chain Monte Carlo (MCMC). Hasil yang diperoleh menunjukkan bahwa perhitungan analitik estimasi parameter lebih akurat dibandingkan perhitungan dengan bantuan perangkat lunak, apabila dipandang dari segi kesesuaian teori serta proses integrasinya
Model Regresi Semiparametrik Spline Hasil Produksi Padi di Kabupaten Lombok Timur Bidayani Bidayani; Mustika Hadijati; Nurul Fitriyani
Eigen Mathematics Journal Vol. 2 No. 1 Juni 2019
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (399.758 KB) | DOI: 10.29303/emj.v1i1.31

Abstract

Beras merupakan suatu sumber bahan makanan pokok penting yang harus tetap terjaga ketersediannya sepanjang tahun. Namun untuk tahun-tahun terakhir ini Indonesia yang dikenal dengan kekayaan alamnya, menjadi salah satu negara pengimpor beras. Hal ini dikarenakan konsumsi beras di indonesia terus meningkat setiap tahunnya, sedangkan produksi beras yang dihasilkan kurang mencukupi konsumsi masyarakat Indonesia. Penelitian ini dilakukan dengan tujuan untuk menentukan model regresi semiparametrik spline pada analisis faktor-faktor yang mempengaruhi hasil produksi padi di Kabupaten Lombok Timur tahun 2014, serta mengetahui faktor-faktor apa saja yang mempengaruhi hasil produksi padi tersebut. Metode yang digunakan adalah regresi semiparametrik spline dengan pemilihan titik knot optimum menggunakan Generalized Cross Validation. Hasil yang diperoleh menunjukkan bahwa variabel yang secara signifikan mempengaruhi hasil produksi padi adalah ketinggian wilayah dari permukaan laut, dengan nilai koefisien determinasi sebesar 99,71% dan nilai Root Mean Square Error of Prediction sebesar 41,65.
Analisis Dependensi Faktor Makroekonomi terhadap Tingkat Harga Emas Dunia dengan Pendekatan Copula Sri Wati Agustini; Mustika Hadijati; Nurul Fitriyani
Eigen Mathematics Journal Vol. 2 No. 2 Desember 2019
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (406.972 KB) | DOI: 10.29303/emj.v1i2.37

Abstract

Gold is a precious metal that used many times as an alternative investment. Before investing, every investor requires relevant information to make profitable investment decisions. Relevant information can be obtained by looking at the dependency relationship between variables. In identifying the relationship between variables, a Copula approach could be used, since it is not tight against the assumption of normality, which is common in macroeconomic variables. Copula used were Archimedean Copula family, such as Clayton, Frank, and Gumbel.  The results of this study indicated that the Archimedean Copula of the Frank family is the best Copula models to explain the structure of dependencies between gold and each composite stock price index and exchange rate, with each parameter obtained were 2.286 and -2.2390, respectively, while Clayton Copula family was the best Copula models to explain the structure of dependencies between gold and oil, with parameter obtained was 3.4090.
Co-Authors Adis Tia Juli Agil Asri Aditya Setyawan R Agus Kurnia Attina Ulansari Baskara, Zulhan Bidayani Bidayani Dara Puspita Anggraeni Desy Komalasari Desy Komalasari Dina Eka Putri Evatia Suryatin Fara Fid Graha, Syifa Salsabila Satya Hafizah Ilma Hairunnisa Hairunnisa Harsyiah, Lisa Helmina Andriani Irwansyah - Irwansyah Irwansyah Irwansyah Irwansyah Jihan Melani Jurnal Pepadu Jusmawati Jusmawati Kamal Faisal Hikam Kartini, Ni Nyoman Dewi Lilik Hidayati, Lilik Luh Putu Ratna Sundari M. Naoval Husni M. Syahrul Mamika Ujianita Romdhini Marwan Marwan Meliyana, Hesti Muhammad Sopian Sauri Ni Wayan Switrayni Nirwana Nirwana Nur Asmita Purnamasari Nurasiah Amini Nurul - Insan Nurul Fitriyani Nurul Fitriyani PURNAMASARI, NUR ASMITA Qomaria Sinta Sari Qudsi, Jihadil Qurratul Aini Rifdah Fadhilah Ristiandi, Ristiandi Saputra, Dede Sri Wati Agustini Ulfa Destiarina Widiya Tri Astuti Wirajaya Kusuma Yuliana Lestari Zulhan Widya Baskara