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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Pengabdian Magister Pendidikan IPA EIGEN MATHEMATICS JOURNAL Variance : Journal of Statistics and Its Applications Mandalika Mathematics and Educations Journal Jurnal Diferensial Fraction: Jurnal Teori dan Terapan Matematika Innovative: Journal Of Social Science Research Jurnal Sains Natural Parameter: Jurnal Matematika, Statistika dan Terapannya Semeton Mathematics Journal Sinergi dan Harmoni Masyarakat MIPA IJASDS: Indonesian Journal of Applied Statistics and Data Science
PURNAMASARI, NUR ASMITA
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Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Nursing Physics Public Health Social Sciences Transportation Other

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Pemodelan Umur Harapan Hidup di Provinsi NTB dengan menggunakan SEM-PLS Zulhan Widya Baskara; Baskara, Zulhan Widya; Putri, Dina Eka; Purnamasari, Nur Asmita
Mandalika Mathematics and Educations Journal Vol 6 No 2 (2024): Edisi Desember
Publisher : FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jm.v6i2.8261

Abstract

Life expectancy (LE) is an essential indicator reflecting public health status and the success of health systems. In Nusa Tenggara Barat (NTB) Province, LE remains below the national average, with significant regional disparities. This study seeks to examine the connections between access to sanitation and clean water, child health, and maternal health in relation to LE in NTB. The research employs the Structural Equation Modeling-Partial Least Squares (SEM-PLS) method, which facilitates the analysis of complex interrelationships among variables.The results indicate that sanitation and clean water access significantly influence LE, followed by child health. However, women's and maternal health does not have a significant influence on the improvement of life expectancy in NTB.
Application of the Average Based Fuzzy Time Series Lee Method for Forecasting World Gold Prices Khotimah, Husnul; Aini, Qurratul; Purnamasari, Nur Asmita
Eigen Mathematics Journal Vol 7 No 2 (2024): December
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/emj.v7i2.237

Abstract

Gold is a investment that investors are interested in because it has relatively low risk and gold investment is not affected by inflation. Gold prices always change from time to time, so it is necessary to forecast gold prices as a basis for investors in making decisions. The forecasting method used in the fuzzy time series lee method. The purpose of this research is determine the world prices and determine the accuracy of the gold price forecasting value ortained using fuzzy time series lee method. The results of this research are forecasting gold prices in the period November 20, 2023 of US$ 63,89/grams and relatively the level of forecasting accuracy based on MAPE value of 0,540091% included in the very good criteria in forecasting gold prices.
Peranan Statistika di Era Transformasi Digital untuk Agen Perubahan di SMAN 1 Gunungsari Lombok Barat Zulhan Widya Baskara; Purnamasari, Nur Asmita; Mustika Hadijati; Lilik Hidayati; Desy Komalasari; Zulhan Widya Baskara; Lisa Harsyiah; Jihadil Qudsi; Helmina Andriani; Dina Eka Putri; Fara Fid
Jurnal Pengabdian Magister Pendidikan IPA Vol 8 No 1 (2025): Januari-Maret 2025
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpmpi.v8i1.10423

Abstract

The digital transformation era and technological advancements demand rapid adaptability from human resources, including the increasingly important utilization of data science across various industries. Statistics, as a core component of data science, plays a crucial role in transforming data into valuable information for decision-making. Considering the significance of statistical analysis, this skill has become one of the most sought-after in today's industrial world, especially for the younger generation, such as high school students, who will become agents of change in the future. Community service activities at SMA Negeri 1 Gunungsari, Lombok Barat, aim to enhance students understanding of the role of statistics in the digital transformation era. These activities include raising awareness about the importance of statistics in career choices and the application of statistical tools in digital contexts. Furthermore, the material delivered also covers how statistics can be used as a tool to address future industrial challenges. The evaluation of this activity shows an increase in students understanding, as evidenced by the post-test results, which show significant improvement compared to the pre-test. This demonstrates that raising awareness about statistics is effective in equipping students with relevant skills in the digital era. Therefore, similar activities are expected to be implemented in other schools to strengthen students readiness to utilize statistics as agents of change in the digital transformation era.
Pengaruh metode pembelajaran project based learning terhadap motivasi belajar mahasiswa prodi matematika FMIPA Universitas Mataram Ayudia, Nurul Ulya; Pradana, Satriawan; Juliansyah, Wahyu Ari; Pratama, Muhammad Imran Ade; Auladi, Muhammad Yuzaul; Purnamasari, Nur Asmita
Semeton Mathematics Journal Vol 2 No 1 (2025): April
Publisher : Program Studi Matematika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/semeton.v2i1.267

Abstract

This study evaluates the impact of the Project-Based Learning (PBL) method on the learning motivation of Mathematics students at FMIPA Universitas Mataram. The primary objective is to assess the effectiveness of PBL in enhancing learning motivation and to explore the influencing factors, namely Facilities (X₁), Lecturer Role (X₂), and Skill Development (X₃). This research employs a quantitative descriptive method, with a population of 257 Mathematics students from FMIPA Universitas Mataram, covering the 2020–2023 cohorts. The sample is determined using the Stratified Random Sampling method. Data were collected through research instruments that had been tested for validity and reliability. Data analysis was conducted using descriptive analysis (pie charts, bar charts, histograms, and scatter plots) and multiple linear regression to identify the influence of the independent variables (X₁, X₂, X₃) on (Y). The findings indicate that 63.8% of the variation in learning motivation (Y) can be explained by Facilities (X₁), Lecturer Role (X₂), and Skill Development (X₃). Both simultaneous and partial tests confirm that all independent variables contribute significantly to students’ learning motivation. These results suggest that the PBL method is not only effective in enhancing learning motivation but also holds potential as an innovative teaching strategy in higher education.
ANALYSIS OF ECONOMIC GROWTH AND DEVELOPMENT INEQUALITY AMONG DISTRICTS/CITIES IN WEST NUSA TENGGARA PROVINCE USING THE WILLIAMSON INDEX, KLASSEN TYPOLOGY, AND LOCATION QUOTIENT METHODS Purnamasari, Nur Asmita; Hadijati, Mustika; Hidayati, Lilik; Saputra, Dede; Graha, Syifa Salsabila Satya
VARIANCE: Journal of Statistics and Its Applications Vol 7 No 1 (2025): VARIANCE: Journal of Statistics and Its Applications
Publisher : Statistics Study Programme, Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/variancevol7iss1page93-104

Abstract

West Nusa Tenggara Province faces low GRDP growth and significant economic disparities among its districts and cities. This study aims to analyze economic growth and development inequality using the Williamson Index, Klassen Typology, and Location Quotient methods. The Williamson Index shows high inequality, with values approaching 1 from 2018 to 2022. Klassen Typology categorizes districts into four quadrants: fast-growing (West Sumbawa, Mataram City), developing (Dompu, Bima City), developed but under pressure (West Lombok, Central Lombok, East Lombok, Sumbawa, Bima, North Lombok), and none in the underdeveloped category. The Location Quotient analysis highlights sectors with growth potential; however, some regions still rely on imports to meet local demand. The findings suggest targeted policies to enhance sector development and reduce economic disparities, fostering sustainable growth and improving welfare in West Nusa Tenggara Province.
CONSUMER PRICE INDEX MODELING USING A MIXED TRUNCATED SPLINE AND KERNEL SEMIPARAMETRIC REGRESSION APPROACH Hidayati, Lilik; Hadijati, Mustika; Purnamasari, Nur Asmita; Ristiandi, Ristiandi; Kartini, Ni Nyoman Dewi
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 1 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss1pp581-594

Abstract

Some semiparametric regression model approaches include spline, kernel, Fourier series, and wavelet. Semiparametric regression modelling can involve more than one independent variable (multivariable), a parametric approach is usually combined with one of the nonparametric approaches, such as combining a parametric approach with a nonparametric kernel. If a consumer price index model can be built based on the variables that influence it, predictions of consumer price percentages can be made, which it is hoped will help the government determine policies to control consumer price inflation, especially in NTB Province. The data used in this research includes the consumer price index and the factors that influence it according to districts/cities in NTB Province from 2022 to April 2024. The data source was obtained from secondary data at BPS NTB Province. This research design uses a mixed semiparametric approach of truncated spline and kernel regression. Based on calculations, the predicted results of the consumer price index in NTB Province show that the predicted data graph is very close to the actual data . Modelling the consumer price index in NTB Province is a model with 2 knot points, where the model efficiency has the smallest GCV value of 0.001507. The model goodness value is 0.99, meaning that the variables used can explain 99% of the model variability.
Analisis Distribusi Peluang Diskrit Mahasiswa yang Sedang Menempuh Sarjana Menuju Magister Megalanik, Indika Safitri; Purnamasari, Nur Asmita
JSN : Jurnal Sains Natural Vol. 2 No. 3 (2024): Agustus
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jsn.v2i3.541

Abstract

Penelitian ini bertujuan untuk menganalisis distribusi peluang diskrit mahasiswa yang sedang menempuh pendidikan sarjana yang ingin melanjutkan studi ke tingkat magister. Dengan menggunakan metode statistik dan model probabilitas, penelitian ini mengevaluasi faktor-faktor yang mempengaruhi keputusan mahasiswa untuk melanjutkan studi ke tingkat yang lebih tinggi. Data dikumpulkan melalui survei yang melibatkan mahasiswa dari jurusan prodi Matematika pada fakultas Matematika dan Ilmu Pengetahuan Alam di Universitas Mataram. Analisis ini mempertimbangkan berbagai variabel seperti informasi program magister, memilih universitas yang dituju, rencana pendidikan, dukungan finansial dan faktor eksternal lainnya. Selain itu, motivasi pribadi dan dukungan keluarga juga memainkan peran penting dalam keputusan ini. Temuan ini diharapkan dapat memberikan wawasan kepada institusi pendidikan dan pembuat kebijakan untuk mengembangkan strategi yang mendukung peningkatan jumlah mahasiswa yang melanjutkan ke jenjang pendidikan magister
Pemodelan Status Pengguna Keluarga Berencana (KB) Di Kota Mataram Menggunakan Metode Regresi Probit Biner Zulhan Widya Baskara; Baskara, Zulhan Widya; Purnamasari, Nur Asmita; Angriani, Baiq Milla
JURNAL DIFERENSIAL Vol 7 No 1 (2025): April 2025
Publisher : Program Studi Matematika, Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jd.v7i1.19532

Abstract

Status pengguna KB merupakan strategi penting dalam mengatur jarak antar kelahiran dan mencegah kehamilan yang tidak diinginkan. Program ini bertujuan untuk mengendalikan pertumbuhan populasi, mengurangi tingkat kelahiran, serta mengatur jarak antar kelahiran demi terciptanya keluarga yang sehat dan sejahtera. Status pengguna kontrasepsi dibedakan menjadi dua kategori: bukan pengguna dan pengguna kontrasepsi. Penelitian ini bertujuan untuk memodelkan status pengguna kontrasepsi di Kota Mataram menggunakan regresi probit biner, sekaligus menganalisis faktor-faktor berpengaruh secara signifikan. Data yang digunakan dalam penelitian ini adalah data status pengguna kontrasepsi di Kota Mataram tahun 2023 yang diperoleh dari Badan Pusat Statistika (BPS). Hasil penelitian menunjukkan bahwa faktor-faktor yang signifikan mempengaruhi status pengguna kontrasepsi di Kota Mataram meliputi usia istri, jenis pekerjaan istri, jenis pekerjaan suami, dan jumlah anak, dengan tingkat ketepatan klasifikasi sebesar 78.32%.
Peramalan Produksi Kedelai di Provinsi Nusa Tenggara Barat menggunakan Model Grey-Markov (1,1) Nurmaulia, Ananda Rizantia; Harsyiah, Lisa; Purnamasari, Nur Asmita; Jurniati, Jurniati
Semeton Mathematics Journal Vol 2 No 2 (2025): Oktober
Publisher : Program Studi Matematika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/semeton.v2i2.314

Abstract

The continuously increasing soybean imports are caused by the imblance in domestic soybean produstion. This indicates that nationalsoybean self-sufficiensy has not yet been achieved, as many soybean farmlands have now been converted to other commodities. This condition occurs in West Nusa Tenggara, Which is one of Indonesia’s nationalsoybean production centers. To understand future soybean production conditions, forecasting future soybean production in West Nusa Tenggara province using the grey_markov (1, 1) model. This model only requires minimal data for forecasting, which aligns with the limites research data available. The data used in this study is soybean production data from West Nusa Tenggara province. The research results show that in 2022, soybean production in West Nusa Tenggara province will decline, with the prediction demonstrating good accuracy as indicated by a MAPE value of 15.75%.
Identifikasi Sektor Ekonomi di Provinsi Nusa Tenggara Barat Menggunakan Studi Location Quotient Purnamasari, Nur Asmita
Innovative: Journal Of Social Science Research Vol. 4 No. 3 (2024): Innovative: Journal Of Social Science Research (Special Issue)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i3.12025

Abstract

Ketidakseimbangan ekonomi antara kota/kabupaten di Provinsi Nusa Tenggara Barat (NTB) merupakan masalah serius yang perlu mendapat perhatian. Provinsi NTB tergolong memiliki pertumbuhan dan kontribusi PDRB yang rendah dibandingkan dengan provinsi lain di Indonesia. Meskipun kesenjangan ini tidak bisa dihilangkan sepenuhnya, upaya untuk menguranginya tetap penting. Salah satu langkah yang dapat diambil adalah menganalisis setiap wilayah di Provinsi NTB guna memberikan orientasi dalam mengurangi kesenjangan tersebut. Sehingga pada penilitian ini dilakukan Analisis Location Quotient untuk mengklasifikan masing-masing Kota/Kabupaten di Provinsi Nusa Tenggara Barat berdasarkan sektor lapangan usahanya sehingga diharapkan dapat menjadi alternatif dalam melakukan penyesuaian kebijakan Pembangunan demi peningkatan kesejahteraan Masyarakat.
Co-Authors Amanda, Humami Syifa Angelina Anggriani, Ni Ketut Angriani, Baiq Milla Auladi, Muhammad Yuzaul Ayudia, Nurul Ulya Damayanti, Putri Candra Daniel Happy Putra Desy Komalasari Dina Eka Putri Dina Eka Putri Dwinata, Nauval Waraqoh Fahrani, Indi Rizqy Fara Fid Fitri, Laelatul Fu’adah, Yayu Fitriyatul Graha, Syifa Salsabila Satya Harsyiah, Lisa Haryati Haryati Helmina Andriani Hulfiana, Hulfiana Juliansyah, Wahyu Ari Jurniati, Jurniati Kartini, Ni Nyoman Dewi Lilik Hidayati, Lilik Megalanik, Indika Safitri Mustika Hadijati Nurmaulia, Ananda Rizantia Pradana, Satriawan Pratama, Muhammad Imran Ade Qudsi, Jihadil Qurratul Aini Ristiandi, Ristiandi Sahnan, Ahmad Saputra, Dede Septiani, Ismi Herlina Sugiarti, Erlina syahrul, muhammad Syamsul Bahri Wardana, Ari Yasmin Yasmin Zulhan Widya Baskara