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All Journal Media Statistika Jurnal Pendidikan dan Pembelajaran Khatulistiwa (JPPK) CAUCHY: Jurnal Matematika Murni dan Aplikasi Jurnal Mahasiswa Jurusan Arsitektur Jurnal Mahasiswa Statistik Journal of Natural A Natural B Jurnal Ekonomi & Studi Pembangunan BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika) Media Mahardhika ComTech: Computer, Mathematics and Engineering Applications Jurnal Ilmiah Aquinas Industri Inovatif : Jurnal Teknik Industri Inferensi JIHAD : Jurnal Ilmu Hukum dan Administrasi Jurnal Ilmiah Manajemen dan Bisnis (JIMBI) Jurnal Dimamu Pangripta Jurnal Ilmiah Kajian Perencanaan Pembangunan Jurnal Sosial Ekonomi Perikanan Economics Development Analysis Journal Indonesian Journal of Statistics and Its Applications
Rahma Fitriani
Department Of Mathematics, University Of Brawijaya, Malang
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 Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Kajian Proses Bisnis Komoditas Ekspor Ikan Kakap Merah (Studi Kasus PT. TOFICO PPS Kota Kendari) Fitriani, Rahma; La Onu, La Ola; Yusuf, Sarini; Mansyur, Akhmad; Risfandi
Jurnal Sosial Ekonomi Perikanan Vol 8 No 2 (2023): Jurnal Sosial Ekonomi Perikanan
Publisher : Universitas Halu Oleo

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

Abstract

This study aims to assess the the demand of PT. Holi Osean Indonesia and the readiness of PT. Tofico as a seller of red snapper. Also, business processes starting from planning to buying and selling transactions between PT. Tofico as a seller in Indonesia and PT. Holi Osean Indonesia as a buyer in China was reviewed. Research conducted at PT. Tofico Ocean Fisheries Port (PPS) Kendari City in June 2022. Data obtained through observation, interviews and documentation. The data analysis used was descriptive qualitative analysis. The study showed that the demand for red snapper commodity at PT. Holi Osean Indonesia in China to PT. Tofico in Indonesia every month was 3.250 kg/month and can be fulfilled by PT. Tofico. The export business process started from PT. Tofico in Indonesia prepared red snapper commodities based on the quality standard of PT. Holi Osean Indonesia. Frozen red snapper then would be sent to China via the Kendari new port container operated by PT. Tanto. The shipping insurance was paid to ensure the safety of the commodity at the Chinese port. PT. Holi Osean Indonesiab then picked up the commodity in question at the Chinese port to be delivered and marketed in China.
Spatial Autocorrelation of East Java's Economic Growth Using Cluster-Based Weights Fitriani, Rahma; Wardhani, Ni Wayan Surya; Abdila, Naufal Shela
Economics Development Analysis Journal Vol. 13 No. 4 (2024): Economics Development Analysis Journal
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edaj.v13i4.19161

Abstract

This study incorporates a spatial clustering technique into the formation of a spatial weight matrix as an alternative to the traditional exogenous matrix, aiming to better capture spatial dependencies. The approach is applied to analyze the spatial autocorrelation of economic growth in East Java’s regencies and municipalities using 2019–2021 data. Spatial clusters are identified based on GDP growth (GGDP), Human Development Index (HDI), population density (Dens), and geographical coordinates. These clusters are used to define a customized spatial weight matrix, where regions within the same cluster are designated as neighbors. Moran’s I, calculated using the customized spatial weight matrix, detects significant spatial autocorrelation in GDP growth for all three years, with consistently lower p-values compared to the traditional contiguity-based matrix. For example, in 2020, Moran’s I using the customized matrix yielded a p-value of 0.099 (significant at the 10% level), while the traditional matrix produced a non-significant p-value of 0.7965. These results demonstrate that spatial clustering extends the scope of spatial interaction beyond adjacent regions to include those with similar characteristics. The findings highlight the effectiveness of this method in providing a more nuanced and robust framework for analyzing spatial dependencies in economic growth.
APPLICATION OF DBSCAN FOR CLUSTERING SOCIETY BASED ON WASTE MANAGEMENT BEHAVIOR Al Jauhar, Hafizh Syihabuddin; Solimun, Solimun; Fitriani, Rahma
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 2 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss2pp961-972

Abstract

This research aims to answer the challenge of identifying the characteristics of the Batu City community in waste management, where traditional clustering techniques are often suboptimal due to the presence of noise or objects that do not fit the general pattern. As a solution, the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm is applied, which allows the clustering of objects based on local density and detects the presence of noise or outliers in the data. DBSCAN is considered more flexible than other clustering methods, especially in clustering data that is not linear or has a non-uniform distribution. This study successfully identified three clusters of waste management behavior with a silhouette index of 0.875, indicating good cluster quality. The first cluster consists of communities with good environmental quality, active participation in the use of waste banks, and a deep understanding of 3R-based waste management. The second cluster has adequate infrastructure quality and high awareness of the potential economic benefits of waste, while the third cluster displays a pretty good level of understanding of the 3Rs and relatively good environmental quality. The results of this study provide important insights into the differences in waste management characteristics between clusters, with environmental quality proving to be a significant factor in cluster formation.
GROWTH EXTERNALITIES ON THE ENVIRONMENTAL QUALITY INDEX OF EAST JAVA INDONESIA, SPATIAL ECONOMETRICS MODEL OF STIRPAT Rahma Fitriani; Herman Cahyo Diartho; Septya Hadiningrum
Indonesian Journal of Statistics and Applications Vol 4 No 1 (2020)
Publisher : Departemen Statistika, IPB University dengan Forum Perguruan Tinggi Statistika (FORSTAT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v4i1.628

Abstract

East Java has shown strong economic growth, which negatively affects its environmental quality. Analysis of the functional relationship between economic growth and environmental quality is important to direct the growth without further deteriorate the environmental quality in this area. It is assumed that growth produces some externalities on environmental quality. The spread of technological information, economic productivity, population growth or investment, can be the source of the growth externalities. The objective of this study is to test the significance of the involved growth externalities on East Java’s environmental quality. Using spatial data, the externalities are accommodated in a spatial version of the STIRPAT model. It is estimated using per city/regency 2015 data. The analysis indicates that local density, local agricultural productivity, neighboring density, and neighboring mining activity significantly affect the local environmental quality. The latter two are the main sources of the growth externalities.
Spatio-Temporal Kriging for Monthly Precipitation Interpolation in East Kalimantan Jannah, Friendtika Miftaqul; Fitriani, Rahma; Pramoedyo, Henny
Inferensi Vol 8, No 2 (2025)
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v8i2.22195

Abstract

Precipitation is one of the factors that can lead to various disasters, such as droughts and floods. Ordinary interpolation methods, such as spatial kriging, cannot accommodate the time element, which is crucial for addressing precipitation-related disasters. Therefore, this study applies a spatio-temporal kriging, which incorporates both spatial and temporal elements. The aim of this study is to develop a spatio-temporal kriging model for precipitation, serving as a basis for interpolating precipitation at unobserved points over various time intervals within the study domain. This model is expected to be an effective tool for disaster mitigation and water conservation strategies. The data used in this study comprises total monthly precipitation recorded at seven precipitation observation posts in East Kalimantan from 2021 to 2023. The findings indicate that the spatio-temporal ordinary kriging model is the most suitable approach, with the best semivariogram model identified as the simple sum-metric. The spatial semivariogram follows an exponential model, while the temporal and joint semivariograms follow Gaussian models. The accuracy of the chosen model yields an RMSE of 2493.687. The interpolation results reveal that West Kutai falls within the medium to high precipitation category, making it the district with the highest flood risk.
Spatio-Temporal Median Polish Kriging with ARIMA Integration for Monthly Precipitation Interpolation in East Kalimantan Jannah, Friendtika Miftaqul; Fitriani, Rahma; Pramoedyo, Henny
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 9, No 2 (2025): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v9i2.29570

Abstract

Precipitation can lead to disasters like droughts and floods, necessitating accurate interpolation methods. Traditional spatio-temporal kriging often struggles with outliers, which can reduce estimation reliability. This study develops spatio-temporal median polish kriging, which separates spatial and temporal components to improve interpolation accuracy, particularly in handling outliers. Unlike conventional kriging, this method integrates median polish kriging for robust spatial interpolation and ARIMA for capturing temporal trends, making it more effective in dynamic precipitation pattern estimation. The study utilizes precipitation data from seven observation posts in East Kalimantan (2021–2023). The data is processed using a combination of spatial, temporal, and spatial-temporal modeling approaches to capture precipitation variations accurately. For spatial interpolation, the study applies kriging in median polish spatial effects. The best semivariogram model for spatial effects is exponential, which is used to characterize spatial dependencies. To capture temporal effects of median polish, the study employs ARIMA(1,2,0), which models precipitation trends over time and helps manage temporal fluctuations. For residuals of median polish interpolation, the study applies spatio-temporal kriging, using a simple sum-metric model as the best approach to integrate both spatial and temporal dependencies. The semivariograms selected for spatial, temporal, and joint dependencies follow a gaussian structure. The interpolation results reveal that precipitation increases toward the west, with precipitation patterns also showing an increasing trend over time. These findings demonstrate the model’s capability in capturing spatial and temporal precipitation variations while addressing potential outliers through the median polish approach. By utilizing a robust statistical framework, the model reduces the influence of extreme values, leading to more reliable precipitation estimates. However, this study utilizes only seven observation posts. The limited number of observation posts may introduce uncertainty in regions distant from measurement stations and affect the model's accuracy. Therefore, further research should test this model by applying it to different geographical regions with a more extensive dataset.
Modeling Spatio-Temporal Precipitation Patterns in East Kalimantan using Space-Time Kriging and Median Polish-Based Spatio-Temporal Kriging Jannah, Friendtika Miftaqul; Fitriani, Rahma; Pramoedyo, Henny
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 9, No 3 (2025): July
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v9i3.30642

Abstract

Precipitation variability presents significant challenges for disaster risk reduction and water resource management, particularly in flood and drought-prone regions such as East Kalimantan. This study aims to develop and evaluate two statistical approaches for spatio-temporal precipitation modeling: spatio-temporal kriging (ST-Kriging) and spatio-temporal median polish kriging (ST-MPK). Using monthly precipitation data obtained from seven observation stations provided by BMKG and BPS for the period 2021 to 2023, both models were assessed using performance metrics. ST-Kriging employed a simple sum-metric semivariogram model that combines exponential spatial and Gaussian temporal components. This model achieved an RMSE of 84.05, MAE of 69.95, and MAPE of 52.67%. Meanwhile, ST-MPK model, incorporating robust median polish decomposition and ST-Kriging of residuals, produced a lower MAPE of 44.83% with higher RMSE (122.44) and MAE (91.35). This suggests that while ST-Kriging offers better absolute error performance, ST-MPK provides greater relative accuracy and improved robustness to outliers, critical advantages for modeling precipitation in regions undergoing environmental shifts, where anomalies and extremes are increasingly common. These findings highlight ST-MPK’s potential to produce more reliable forecasts under irregular precipitation conditions, supporting early warning systems and informed water resource planning. Scientifically, this research contributes a robust modeling framework suitable for data-scarce and outlier-prone contexts. Practically, it can aid policymakers in designing adaptive flood mitigation strategies and sustainable water management policies tailored to the evolving climate realities of East Kalimantan.
A Spatiotemporal Analysis of Humidity Pattern in Bali using Space-Time Kriging with Seasonal Drift Nugroho, Salma Fitri; Fitriani, Rahma; Iriany, Atiek
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 9, No 3 (2025): July
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v9i3.30874

Abstract

Climate plays a vital role in framing the characteristics of tourist activity. Humidity reflects the amount of moisture in the air relative to the maximum it can hold at a specific temperature, it has a direct influences on perceived comfort levels. Bali, one of the most popular destinations renowned for its breathtaking natural beauty and varied landscapes. However, this island is currently served by only four climate observation stations which are insufficient to capture the humidity across the island. Therefore, this research aims to model humidity levels in Bali based on four observed locations at 2019-2023 using the space-time kriging with seasonal drift and predict humidity at unobserved locations. This approach was choosen due to the strong seasonal pattern exhibited in climate data, which leading to non-stationary. The space-time kriging method is applied to the residuals. The most effective model identified was the exponential-exponential-Gaussian (Exp-Exp-Gau) model using a sum-metric structure. This model provided the lowest RMSE of 2.1442. Humidity contour maps suggest a gradual decline in humidity levels over time across Bali. This trend may have significant impacts for both environmental quality and the tourism sector. Lower humidity levels could lead to increased discomfort for tourists and potentially reduce the attractiveness of the destination. Theoretically, the development of the kriging model enhances the accuracy of predictions, as shows by the low RMSE. Practically, these findings emphasize the importance of integrating climate considerations into sustainable tourism planning and management strategies based on the humidity information.
Political Party Performance: Election Systems in Developing and Developed Countries Nofriadi, Nofriadi; Firsa, Pocut Zahran Nada; Ry, Mohd Dzaky; Fitriani, Rahma; Mahendra, Di Aidil
JIHAD : Jurnal Ilmu Hukum dan Administrasi Vol 7, No 2 (2025): JIHAD : Jurnal Ilmu Hukum Dan Administrasi
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58258/jihad.v7i2.8633

Abstract

This study aims to analyze the influence of electoral systems on political party performance by conducting a comparative study between developing and developed countries. Using a qualitative approach and secondary data analysis, this study explores how different electoral systems such as proportional and majoritarian systems affect political party dynamics, political representation, and voter participation. The findings show that developed countries with proportional electoral systems tend to produce more inclusive and responsive political parties, while developing countries often face challenges such as party fragmentation and low voter participation due to the majoritarian system. This study provides important insights for the development of more effective electoral systems and improving political party performance in both categories of countries.
ANALISIS LAPORAN KEUANGAN DALAM MENGUKUR KINERJA KEUANGAN PERUSAHAAN BUKALAPAK TAHUN 2020-2023 Fitriani, Rahma; Manda, Gusganda Suria
Media Mahardhika Vol. 23 No. 3 (2025): May 2025
Publisher : STIE Mahardhika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29062/mahardika.v23i3.1245

Abstract

The purpose of this study was to determine the financial performance of PT Bukalapak.com Tbk in terms of financial ratio analysis. This type of research is descriptive quantitative. The type of data used is the company's annual financial report data for 2020-2023. The secondary data source is the Financial Statements of PT Bukalapak.com Tbk for 2020-2023 from https://www/idx.co.id. The population and sample of this study are the company's financial statements at PT Bukalapak.com Tbk for 2020-2023. By using a horizontal analysis method of financial analysis, which includes liquidity ratios, leverage ratios and profitability ratios. The results showed that PT Bukalapak.com Tbk based on financial ratios, researchers can find out that the leverage ratio produces good performance, while the liquidity and profitability ratios show poor performance.
Co-Authors Abdila, Naufal Shela Agung Murti Nugroho Agus Dwi Sulistyono, Agus Dwi Akhmad Mansyur, Akhmad Al Jauhar, Hafizh Syihabuddin Alfi Fadliana Ani Budi Astuti Antonius Totok Priyadi Atiek Iriani, Atiek Atiek Iriany Azizah, Amelia Nur Darmanto Darmanto Dianiati, Aldila Nur Eddi Basuki Kurniawan Encep Supriatna Eni Sumarminingsih Fernandes, Adji Achmad Rinaldo Firdausi, Rizka Firsa, Pocut Zahran Nada Gusganda Suria Manda Handoyo, Samingun Hapsari, Ulfalina Henny Pramoedyo Herman Cahyo Diartho Hermanto, Tutut Istiqomah, Nur Jaka Pratama Musashi Jannah, Friendtika Miftaqul Jannah, Friendtika Miftaqul Korniasari, Leli Dwi Kusdarwati, Heni La Onu, La Ola Lestari, Kartika Ayu Liduina Asih Primandari, Liduina Asih Loekito Adi Soehono Maharani, Kasih Mahendra, Di Aidil Menufandu, Dahlia Gladiola Rurina Mitakda, Maria Bernadetha Ni Wayan Surya Wardhani Ni Wayan Surya Wardhani Nofriadi Nofriadi Nugroho, Salma Fitri Nur Aisyah Nurachmad Sujudwijono Pasca, Paunfia Meiditha pramoedyo, henny Pratama, Muhamad Liswansyah Pribadi, Teddy Ramadhan, Apry Zakaria Ramifidisoa, Lucius Risfandi Ry, Mohd Dzaky Sarini Yusuf Septya Hadiningrum Sesilia Seli Sholihah, Suma Suci Solimun, Solimun Suci Astutik Sumarminingsih, Eni Sundyni, Reza Chyta Syukrilla, Wara Alfa Tampubolon, Risma Hartati Tri Pratiwi, Elly Andita Umami, Asri Rizza Vierkury Metyopandi Vivit Senja, Dinda Rinai Waego Hadi Nugroho Widya Reza Wigbertus Ngabu Yusrina Nur Dianati Zakaria Zamelina, Armando Jacquis Federal