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All Journal JBIO: jurnal biosains (the journal of biosciences) CAUCHY: Jurnal Matematika Murni dan Aplikasi Althea Medical Journal Journal of the Indonesian Mathematical Society BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika) Limits: Journal of Mathematics and Its Applications Journal of Epidemiology and Public Health Jambura Journal of Mathematics M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika GREENOMIKA Jurnal Kesehatan Jurnal Pendidikan Administrasi Perkantoran (JPAP) Milang Journal of Mathematics and Its Applications Jurnal Indonesia Sosial Sains Proceeding Applied Business and Engineering Conference MILANG Journal of Mathematics and Its Applications
Retno Budiarti
Department Of Mathematics, Faculty Of Mathematics And Natural Sciences, Bogor Agricultural University, Jl. Meranti, Kampus IPB Darmaga, Bogor
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ANALISIS HUBUNGAN HARGA EMAS DAN PASAR SAHAM MENGGUNAKAN MIXED-COPULAS Retno Budiarti; Muhammad Yusuf Sulaiman; I Gusti Putu Purnaba; Windiani Erliana; Berlian Setiawaty; Ruhiyat
MILANG Journal of Mathematics and Its Applications Vol. 20 No. 1 (2024): MILANG Journal of Mathematics and Its Applications
Publisher : Dept. of Mathematics, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/milang.20.1.15-29

Abstract

Gold is considered as a reliable investment tool for long-term savings and/or investment portfolios. Investors who do not like high risks trust gold to be a safe haven commodity that can mitigate the impact of any financial crisis. Gold and stocks are often used as substitutes for each other, where the two have an inverse relationship. Copula is used to capture the dependence relationship between world gold prices and the stock indexes. The data used are the stock index data for the JKSE Indonesia), PSE (Phillipines), Nikkei 225 (Japan), HSI (Hong Kong), and world gold prices (XAU) from January 1, 2014 to December 31, 2019. From the data, the ARMA-GARCH model is made to solve the problem of autocorrelation and heteroscedasticity. Then, the correlation between assets is calculated using the rank correlation. Furthermore, four pairs of data are made from each stock index with the price of gold. Next, the best copula and the estimated Value-at-Risk (VaR) are sought for each portfolio. From the results of the selecting of the best copula for each pair of data, it is found that gold can be a safe haven asset in the Hong Kong's stock market. The VaR results show that the biggest loss is in the Japanese market.
Prevalensi Terjadinya Komplikasi pada Ibu Hamil dengan Infeksi Covid-19 Post Sectio Caesarea Utami, Nadila Rizqi; Herdiyantini, Mita; Budiarti, Retno; Harnanik, Titut
Jurnal Kesehatan Vol 13 No 1 (2024): Jurnal Kesehatan
Publisher : STIKES Ngesti Waluyo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46815/jk.v13i1.187

Abstract

Pregnancy is a period of fetal growth and development accompanied by physiological and immunological changes in the mother, making her more susceptible to infections, including COVID-19. Pregnancy accompanied by COVID-19 infection increases the risk of complications for pregnant women. This study aims to determine the prevalence of post-Caesarean section complications in pregnant women with COVID-19. The sampling method employed purposive sampling by observing medical record data at Dr. Ramelan Surabaya Hospital during the period from March 2020 to March 2023. Out of a total of 100 samples, there were 58 confirmed cases of COVID-19, with 8 cases (32.0%) of cardiovascular complications, consisting of 6 cases (75.0%) of PPH complications, and 2 cases (25.0%) of surgical wound infection complications. The prevalence of respiratory system complications included 13 cases (52.0%), with 9 cases (69.2%) of pneumonia complications and 4 cases (30.8%) of Acute Respiratory Distress Syndrome complications. One case (4.0%) of sepsis and 3 cases (12.0%) of maternal death complications were identified. The results of the data analysis using the Contingency Coefficient test showed a p-value of 0.001 (p < α), indicating a significant relationship between COVID-19 infection and an increased prevalence of complications in pregnant women. In conclusion, the study found 25 cases (43.1%) of post-Caesarean section complications in pregnant women with COVID-19, indicating an increased prevalence of complications in pregnant women with COVID-19 post-Caesarean section.
Expression of HMGB1 and NF-κB in Fetal Membranes of Premature Rupture of Membranes Sudiarta, Ketut Edy; Khan, Joan; Aldinasyah, Monicha Zalzabilla; Garianto, Efyluk; Budiarti, Retno
Althea Medical Journal Vol 10, No 4 (2023)
Publisher : Faculty of Medicine Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15850/amj.v10n4.2911

Abstract

Background: Inflammation, either sterile or infection-related, may lead to premature rupture of membranes (PROM). The non-histone nuclear proteins, high mobility group box-1 (HMGB1), and nuclear factor kappa-B (NF-κB) transcription factors have been extensively investigated in many disorders involving inflammatory reactions. This study aimed to determine the expression of HMGB1 and NF-κB in fetal membranes of PROM compared with non-PROM.Methods: This study was an analytical observational study with a case-control design, performed from November 2021 to January 2022, including 40 fetal membrane samples (20 PROM and 20 non-PROM), which were obtained from pregnant women treated in the emergency unit of a hospital in Surabaya from August to November 2019 using the non-probability sampling method. The HMGB1 and NF-κB expressions were examined using the immunohistochemical method and further viewed under a light microscope (400x magnification), then assessed by Image-J software. The values were then compared between PROM and non-PROM, and analyzed using the Mann-Whitney U test.Results: There was a significant difference (p<0.001) in the expression of HMGB1 and NF-κB in PROM and non-PROM for HMGB1 45.86± 14.21% vs. 8.50± 5.66% expression/mm2; and NF-κB 33.47±5.45% vs. 7.29±4.90% expression/mm2, respectively.Conclusions: PROM groups have significantly higher expression of HMGB1 and NF-κB s, indicating their higher activity and contribution to PROM.
Effects of grey mangrove leaf extract (Avicennia marina) on the growth of Staphylococcus aureus Priambodo, Bima; Budiarti, Retno; Rahadianto, Rahadianto; Nefertiti, Eva
JBIO: jurnal biosains (the journal of biosciences) Vol 10, No 2 (2024): JBIO : JURNAL BIOSAINS (THE JOURNAL OF BIOSCIENCES)
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jbio.v10i2.43222

Abstract

The emergence and spread of methicillin-resistant Staphylococcus aureus in recent decades complicates the antibiotic therapy. The grey mangrove (Avicennia marina) has flavonoid, terpenoid, saponin, phenolic, tannin, and alkaloid chemical compounds that have antimicrobial activity, thus potentially inhibiting Staphylococcus aureus. This study aims to examine the effects of the grey mangrove (Avicennia marina) leaf extracts on the growth of Staphylococcus aureus. This research uses laboratory experimental design with disc diffusion method to test the inhibition of Staphylococcus aureus bacteria growth in Mueller-Hinton medium. There were 6 treatment groups, namely negative control of 0.2% DMSO,  positive control of amoxicillin 30 µg, Avicennia marina leaf extract at concentration of 25%, 50%, 75%, and 100%. The results of this research showed that Avicennia marina leaf extract produces inhibition zone of 7.06 mm, 8.51 mm, 10.07 mm, 13.29 mm at concentration of 25%, 50%, 75%, and 100%. Meanwhile, positive control produces inhibiton zone of 23.65 mm, and negative control has no inhibition zone. The statistical tests using one-way ANOVA resulted in a significance value of less than 0.05 (p<α). The conclusion of this study showed that the grey mangrove (Avicennia marina) leaf extract at 100% concentration is the most effective treatment group in inhibiting the growth of Staphylococcus aureus, although the inhibition was not much better when compared to the inhibition of the positive control group.
DETERMINANTS OF PUBLIC AWARENESS TO PAY TAXES THROUGH WORK EFFECTIVENESS AS A MEDIATION VARIABLE Budiarti, Retno; Andre Dwijanto Witjaksono; Anang Kistyanto
Jurnal Pendidikan Administrasi Perkantoran (JPAP) Vol 12 No 2 (2024): August
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpap.v12n2.p266-286

Abstract

Phenomenon/Issue: Local government and village head leadership play an important role in increasing public awareness of paying taxes, but work effectiveness as a mediating variable has not been widely explored. Purpose: This research aims to analyze the influence of government policy and village head leadership on public awareness of paying taxes, with work effectiveness as a mediating variable. Novelty: This research adds work effectiveness variables as mediators to deepen understanding of how government policy and village head leadership can influence people's awareness of paying taxes. Research Methods: Quantitative research using a survey approach was carried out in Karangrejo Village, Karangrejo District, Magetan Regency. Data was collected through questionnaires filled out by respondents who were residents of Karangrejo Village. Results: The results of the study show that government policy and village head leadership have a significant effect on people's awareness of paying taxes. Work effectiveness was found as a mediating variable that strengthens this influence. Research Contributions: This research provides insight into the importance of transparent government policies and responsive village head leadership to increase work effectiveness and public awareness in paying taxes, which will ultimately have a positive impact on increasing local tax revenues
Forecasting Stock Price Using Armax-Garchx Model During The Covid-19 Pandemic Parwati, Lusiana Sani; Nugrahani, Endar Hasafah; Budiarti, Retno
Mathline : Jurnal Matematika dan Pendidikan Matematika Vol. 8 No. 2 (2023): Mathline: Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/mathline.v8i2.413

Abstract

The Covid-19 pandemic, which was proclaimed by the World Health Organization (WHO) on March 2020, has impacted stock risk on the capital market. Stock price forecasting can be used to provide future stock projection prices in order to reduce risk. The ARMA GARCH model and its development model can forecast stock prices by incorporating exogenous factors such as the ARMAX GARCH, ARMA GARCHX, and ARMAX GARCHX models. PT Mitra Keluarga Karyasehat Tbk's stock price is analyzed in this study, along with the exogenous factors of total daily positive cases and total daily fatalities cases of Covid-19 from March 16, 2020, to January 31, 2022.The results of several models show that based on MAPE value the ARMAX GARCH model has better accuracy in forecasting stock price.
Exploring Diabetes Mellitus' Impact on Tuberculosis Outcomes: A Comprehensive Comparative Study Diana, Adawiyah Putri; Adiwinoto, Ronald Pratama; Budiarti, Retno; Soedarsono; Prasetya, Hanung; Putra, Oki Nugraha
Journal of Epidemiology and Public Health Vol. 10 No. 2 (2025)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/jepublichealth.2025.10.02.03

Abstract

Background: Tuberculosis (TB) remains among the top ten global causes of mortality, with approximately 1.3 million deaths annually. Diabetes elevates the risk of active TB and treatment failure, potentially increasing drug-resistant TB (DR-TB). This study aimed to compare treatment success rates between TB patients with and without diabetes mellitus (DM) at Dr. Ramelan Central Naval Hospital, Surabaya.Subjects and Method: This cross-sectional study was conducted from January 2019 to December 2023 at Dr. Ramelan Central Naval Hospital Surabaya. A total of 158 patients with TB-DM and TB-NonDM were selected using total sampling. The independent variables were the Presence of Diabetes Mellitus in TB patients (TB-DM vs. Non-TB-DM). The dependent variable was the treatment success rate. The data were collected from patient medical records and analyzed using a chi-square test to compare treatment outcomes between TB-DM and TB-Non-DM patients.Results: The analysis included 158 medical records. Predominantly affecting those over 45 years, both TB-DM and TB-Non-DM patients commonly underwent six months of treatment, with success rates of 78% in TB-DM and 82.4% in TB-Non-DM cases. The chi-square test yielded a p-value of 0.511, indicating no significant difference in treatment success between the groups. However, older age and HIV-positive status were associated with lower odds of treatment success.Conclusion: Success rates were similar between the groups, showing no significant difference based on DM status. Despite similar success rates, older age and HIV-positive status were associated with lower odds of treatment success.
Comparing the Accuracy of Markov Switching – AR and Prophet Models in Predicting the Blue Bird Stock Prices Yulianty, Sherly; Mangku, I Wayan; Budiarti, Retno
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.v9i2.30096

Abstract

One form of investment asset that is in high demand for profit is stocks. However, stock prices fluctuate, so a mathematical model is needed to model the movement and calculate stock price predictions. Stock price movements often form several groups (states) of change, so the Markov Switching Autoregressive (MS-AR) model can be used to model and calculate stock price predictions. In addition, stock price movements often contain trend and seasonal patterns, so the Prophet model can be used to model movements and calculate stock price predictions. In this study, the Prophet model is modified by generating random numbers that spread normally with parameter values obtained from the error value of the Prophet base model. This study aims to compare the performance of the MS-AR model with the Prophet model in predicting BIRD stock prices. This research is a quantitative study with secondary data in the form of BIRD stock closing price data for the period 11 February 2023 to 11 February 2024. In this study, two models, MS-AR and Prophet, were built separately. In the MS-AR model, it is necessary to pay attention to the assumptions of the data used, namely normal distribution and stationary. In the Prophet model, there are no special assumptions like those of the MS-AR model, but the Prophet model is good for data containing trends and seasonal patterns. The results of this study show that among the MS-AR models, the MS(2)-AR(3) model is the best model. In addition, the results show that the modified Prophet model performs better than the basic Prophet model. The goodness of model performance is measured by the Mean Absolute Percentage Error (MAPE) metric, with MAPE values for each model being 5.54% for MS(2)-AR(3), 3.38% for the Prophet base model, and 2.88% for Prophet modification. Based on the MAPE value, the Prophet (modified) model is able to predict the closing price of shares better than the MS(2)-AR(3) and Prophet (basic) models. The results of this study can be used by investors as a measuring tool in reading and determining stock price predictions.
Portfolio Optimization for Rupiah Exchange Rate using Multidimensional Geometric Brownian Motion Model Masitah, Siti; Budiarti, Retno; Purnaba, I Gusti Putu
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.v9i2.29953

Abstract

Exchange rate fluctuations are critical in ensuring economic stability and shaping foreign investment, while foreign currencies serve as asset and wealth diversification instruments. This study aims to predict foreign exchange rates with a multidimensional geometric Brownian motion model and determine the optimal portfolio fund allocation with the Markowitz model using the Moore-Pendrose method. The multidimensional GBM model was employed for its ability to capture the volatility and interdependence among multiple currencies, making it more suitable for multi-asset portfolios than univariate models. The Markowitz model was used to determine the optimal asset allocation that achieves a specified expected return with minimal risk, while the Moore-Penrose method was applied to address matrix inversion challenges in high-dimensional data. Using data from 2023 to April 2024 on the Indonesian rupiah against the Singapore Dollar (SGD), Chinese Yuan (CNY), and Euro (EUR), this study finds that the multidimensional GBM model effectively forecasts exchange rate movements, as indicated by MAPE values below 10% for each currency. "The optimal portfolio yields a risk of 0.28% and an expected return of 0.009%, with asset allocations of 90.3% in SGD, 8.2% in CNY, and 1.5% in EUR. The dominance of SGD in the optimal portfolio suggests it was the most favorable investment option against the rupiah during the study period. This reflects Singapore's strong economic fundamentals and strategic position as a global financial hub. These findings provide valuable insights for investors and financial analysts seeking to manage currency risk and enhance returns through data-driven diversification strategies.
Dependency of The Exchange Rate with The Volume of Indonesian Aluminum Exports Using Copula Rizki, Kurniadi; Budiarti, Retno; Purnaba, I Gusti Putu
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 10, No 2 (2025): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v10i2.32517

Abstract

The downstreaming of bauxite, which is one of the raw materials for aluminum, indicates that the Indonesian government is serious about managing these mining resources. As one of the leading commodities, aluminum export activities not only affect investment but also strengthen the IDR-USD exchange rate. The increasing circulation of the rupiah has a positive impact on Indonesia in the international trade market. This study models the dependence between the IDR-USD exchange rate and Indonesia's aluminum export volume using copula. Copula doesn’t require the assumption of data normality, so it is very good for measuring the dependence of economic data that is often not normally distributed. The results of the study concluded that there is a positive correlation between the two variables, although it is not significant and is very small. This positive correlation indicates that the rupiah will strengthen along with the increasing volume of Indonesia's aluminum exports.
Co-Authors Ade Irawan Adriani, Ika Reskiana Aldinasyah, Monicha Zalzabilla Anang Kistyanto Andre Dwijanto Witjaksono Asri Rahmawati Berlian Setiawaty Bib Paruhum Silalahi Chalimatusadiah Chalimatusadiah D. S. Rahmawati Daniel Happy Putra Dara Irsalina Dewi, Komang Nonik Afsari Diana, Adawiyah Putri Donny Citra Lesmana Dwi Fidiana Endar Hasafah Nugrahani Erliana, Windiani Fendy Septyanto Garianto, Efyluk Grifin Ryandi Egeten Hadi Sumarno Helynda Mulya Arga Retha Helynda Mulya Arga Retha Hemarani, Febri Herdiyantini, Mita I Gusti Putu Purnaba I Wayan Mangku Intansari, Kumala Khairiati, Alfi Khan, Joan Manjaruni, Vivin Aprilia Mohammad Reza Muhammad Yusuf Sulaiman Mulyasari, Rindi Melati Najib, Mohamad Khoirun Nashiruddin, Muhammad Abdurrasyid Nefertiti, Eva Nur Agustiani Parwati, Lusiana Sani Prasetya, Hanung Priambodo, Bima Putra, Hilman Yusupi Dwi Putra, Oki Nugraha Rafhida, Syukri Arif Rahadianto, Rahadianto Rahmah, Salsabilla Rahmawati, D. S. Rizki, Kurniadi Ronald Pratama Adiwinoto Ruhiyat Ruhiyat S. Soedarsono Setyawan, Binar Aulia Silalahi, Romaito Br siswadi - Sitepu, Sanfriska Br Sri Nurdiati Sudiarta, Ketut Edy Sulaiman, Muhammad Yusuf Titut Harnanik Utami, Nadila Rizqi Windiani Erliana Yulianty, Sherly