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JURNAL ILMIAH MATEMATIKA DAN TERAPAN
Published by Universitas Tadulako
ISSN : 18298133     EISSN : 2450766X     DOI : -
Core Subject : Education,
Mathematics
Jurnal Ilmiah Matematika dan Terapan adalah Jurnal yang diterbitkan oleh Program Studi Matematika FMIPA Universitas Tadulako. Jurnal ini menerbitkan artikel hasil penelitian atau telaah pustaka bersifat original meliputi semua konsentrasi bidang ilmu matematika dan terapannya, seperti analisis, aljabar, kombinatorika, matematika diskrit, statistika, dan semua aspek terapannya.
Arjuna Subject : Matematika - Matematika (Lain-Lain)
Articles 307 Documents
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Application of The C4.5 Algorithm to Get Customer Satisfaction Levels (Case Study : Toko Craft Palu, Jl. Setia Budi) Ningrum, Desy Riani Sukma; Resnawati; Najar, Abdul Mahatir; Puspita, Juni Wijayanti
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 21 No. 1 (2024)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/2540766X.2024.v21.i1.16958

Abstract

Customer satisfaction refers to the response expressed by customers as a result of their evaluation of the perceived difference between their initial expectations before purchase and the performance of the service after purchase. Several specific factors impact the purchasing process and the performance of the product service, such as uncertainty in store operating hours and limited availability of inventory. These related issues have an impact on customer satisfaction, especially at Craft Palu store. The aim of this research is to determine the level of customer satisfaction and accuracy level using the decision tree method, specifically the C4.5 Algorithm. In this study, the measured variables of customer satisfaction at Craft Palu store are Tangibles, Reliability, Responsiveness, Assurance, and Empathy. Based on the results of this research, it is found that Reliability is the most influential variable with an index value is 80,6% of respondents satisfied with the 5th statement, and accuracy test results using the C4.5 Algorithm in python software show an improvement with a decent final accuracy is 90%. Therefore, the C4.5 Algortihm is suitable for measuring customer satisfaction.
The Effect of Anti-anxiety Medication on Recall Performance of Happy Memories Using the 2k Factorial Design Method Utami, Rahmi; Sofro, Ayunin
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 21 No. 1 (2024)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/2540766X.2024.v21.i1.17079

Abstract

Anxiety disorders are common mental health problems and can significantly impact a person's quality of life. This study aims to examine the effect of anti-anxiety drugs, especially benzodiazepines, on individuals' ability to remember happy memories. The research method used was a 2k factorial design to identify interactions between the factors tested, namely drug A, drug T, and drug S (a representation of benzodiazepine drugs) at two different levels. The data is analyzed quantitatively by utilizing values ​​that have been taken from the Kaggle application. This research was conducted by paying attention to the effect of anti-anxiety drugs on happy memory performance, taking into account the effects of dose, duration of use, and individual response to the drug. The 2k factorial design makes it possible to understand the interactions between the factors and how they influence the observed response. The research results obtained are the effect of the drug Triazolam is the only one that can be used to increase the influence/effect on the user's memory performance of happy memories. Apart from that, using the p-value in ANOVA (Analysis of Variance) you can find out that the main effect is statistically significant and that there is no interaction between these factors. This confirms my initial interpretation of the data based on the magnitude of the factor influence. After conducting ANOVA (Analysis of Variance, the regression results show A2, T2, and S2 (factors at dose 2) have a significant influence on the dependent variable (happy memory recall performance). Keywords : anxiety disorders, benzodiazepines, happy memory recall, 2k factorial design, anxiety treatment
Application Of Max-Plus Algebra In Determining The Shortest Route Of Goods Distribution On Jalur Nugraha Ekakurir (JNE) In Palu City Tandi, Andri; Lusiyanti, Desy; Musdalifah, Selvy
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 21 No. 1 (2024)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/2540766X.2024.v21.i1.17082

Abstract

Determining the shortest route is a solution that is needed for companies engaged in the distribution of goods, because the shortest route can help companies optimize the distance traveled and streamline the time needed. Therefore, this study aims to apply max-plus algebra to determine the shortest route for the distribution of goods on the Jalur Nugraha Ekakurir (JNE) in Palu City. This method was chosen because Max-Plus Algebra can find more optimal results from the matrix exponentiation operation of a weighted graph. The data used were obtained from previous research which consisted of 13 JNE warehouse points along with the distance between these points. The results to be obtained are in the form of the shortest route between one point and another which is represented in a graph path with each path length and weight obtained based on the results of max-plus algebraic calculations. Of all the possible route, obtained the route with the minimum weight for distribution of goods from JNE main warehouse dewi sartika (v_1) to JNE tondo mantikulore (v_13), that is JNE main warehouse dewi sartika (v_1) → to JNE basuki rahmat (v_4) → JNE Sisingamangaraja palu (v_8) → JNE tondo mantikulore (v_13) with a total distance of 13.3 km.
Biserial Point Correlation to Measure The Relationship Between The Characteristics of Health Workers at Undata Palu Hospital with Antibody Levels Fadjriyani; Mohammad Fajri; Hartayuni Sain; Gamayanti, Nurul Fiskia; Rais
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 21 No. 1 (2024)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/2540766X.2024.v21.i1.17109

Abstract

Correlation analysis is a term in statistics commonly used to study the relationship between variables. The purpose of this analysis technique is to get a pattern of the closeness or strength of the relationship between two variables expressed by the correlation coefficient. The correlation coefficient is a value that indicates whether or not there is a strong linear relationship between two variables. This study aims to find the relationship between the characteristics of health workers at Undata Hospital Palu and antibody levels. The characteristics of health workers are nominal data with two categories while antibody levels are measured using ratio or interval data. This type of data is suitable to be analyzed using point biserial correlation technique. There are several variables of respondent characteristics that influence immune performance, namely gender, presence or absence of comorbidities, smoking habits, health conditions, exercise habits, close contact with patients and vaccine history. The results of the correlation analysis showed that all respondent characteristic variables had a very weak correlation with antibody levels. This is indicated by the correlation coefficient value of each variable of 0.034; 0.062; 0.063; 0.074; 0.020; 0.079 and 0.119. This means that the characteristics of respondents do not really affect the rise and fall of antibody levels. However, vaccine history has the highest correlation coefficient compared to other variables. This indicates that one of the prevention efforts against infectious diseases is the administration of vaccines.
Dynamic Model of The Spread of Vascular Streak Dieback Disease (VSD) by Oncobasidium Theobromae on Cocoa Trees with Trichoderma Sp Control Sibi, Rika; Ratianingsih, Rina; Hajar
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 21 No. 1 (2024)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/2540766X.2024.v21.i1.17110

Abstract

Disease Vascular Streak Dieback (VSD) is caused by the fungus Oncobasidium theobromae which produces basidiospores and grow on infected cacao branches. Biological control of VSD disease used Trichoderma sp. The mathematical model that represented the spread of this disease is adapted from the SIS and provided two existing critical points, namely the disease-free critical point and the endemic critical point . Analysis of system stability at the critical points using the Linearization method and the Routh-Hurwitz indicated that the is stable and appearing a threshold for the growth rate of Oncobasidium theobromae that must be less than 0.767. The is exist and stable with a threshold for spore growth rate of Oncobasidium theobromae is greater than 0.767. Simulations at the both critical points showed that the spore growth rate of Oncobasidium theobromae is very fluently in the spread of the disease. In this case, suppressing the growth rate of Oncobasidium theobromae could be used as a good treatment to control the disease.
Application The Multinomial Logistic Regression Method in Analyzing The Relationship Between Local Wisdom to Overcome Stunting Amelia; Muliani, Fitra; Rahmawati
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 21 No. 1 (2024)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/2540766X.2024.v21.i1.17115

Abstract

Aceh is the region with the highest stunting prevalence rate in 2021. This is in line with (2) that Aceh occupies the third highest position after East Nusa Tenggara (NTT) and West Sulawesi, namely at 24.4%. Meanwhile, Langsa City is one of the districts or cities with a stunting problem above the average tolerance set by WHO. The prevalence of stunting in Langsa City in 2021 was 25.5% and followed in 2022 at 22.1%. For this reason, stunting cases require more intensive handling efforts. The incidence of stunting can be overcome by providing assistance to families regarding nutritional knowledge. This can be done on an ongoing basis starting from pregnant women, breastfeeding mothers, and assistance for mothers or families who have babies aged 2 to 5 years. This assistance is provided with the aim of being able to anticipate as early as possible the factors that cause stunting, one of which is social and cultural. The results of the research show that from the model formed, it shows that the variables nutritional status and maternal education have a significant effect on stunting with a sig value < 0.05 and local wisdom, namely Meugang and Mee Bu tujoh, has a relationship with the incidence of stunting, namely, with a sig value < 0 .05.
Chicken Egg Price Prediction Using Extreme Gradient Boosting Method Wahyudiputra, Helmy Fauzan; Witanti, Wina; Abdillah, Gunawan
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 21 No. 1 (2024)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/2540766X.2024.v21.i1.17214

Abstract

Prediction is a way to find out future data by looking at previous data patterns. Chicken eggs are one of the ingredients people need to fulfill their daily needs. There are many types of chicken eggs ranging from omega 3 eggs, purebred chicken eggs, free-range chicken eggs, and domestic chicken eggs. In this research, we will make a prediction on the price of purebred chicken eggs, especially in the local market, which sometimes experiences price increases and there can also be sudden price drops. With the XGBoost or Extreme Gradient Boosting method, research on predictions can be carried out because this method can identify trends or patterns in time series, where this method can interpret data that changes over time. This research aims to create a prediction system for the price of purebred chicken eggs using the Extreme Gradient Boosting method to produce accurate predictions.
Analysis of Predicting the Exchange Rate of the IDR Against the US Dollar Using the Fuzzy Time Series Methods of Chen and Cheng Aden, Aden; Oktaviani, Fani
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 21 No. 2 (2024)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/2540766X.2024.v21.i2.16530

Abstract

The rise and teh exchange rate of the IDR against the US dollar fall starting from 2021 to 2023 will have many impacts in the Indonesian economy both positive and negative impacts. The resulting impact affects the sustainability of the country's economic activities. To maintain the stability of the IDR exchange rate against the US dollar, it is necessary to do forecasting so that it can monitor the movement of the IDR exchange rate in the future. The puIDRose of this study is to find out how the results of the prediction of the IDR Exchange Rate (exchange) against the US Dollar with the Fuzzy Time Series Chen and Fuzzy Time Series Cheng methods and how the comparison of the implementation of the Fuzzy Time Series Chen and Fuzzy Time Series Cheng in predicting the IDR Exchange Rate (exchange) against US Dollar based on MAPE Value. The method used in this research is Chen and Cheng's Fuzzy Time Series. Forecasting results indicate the IDR exchange rate against the US dollar in June and July 2023 in the application of Chen's Fuzzy Time Series method of IDR 15,150.32 and the Fuzzy Time Series Cheng method of IDR 15,127.77. Then the data analysis shows that the MAPE results from the FTS Cheng method are better than the FTS Chen method with a MAPE percentage of 0.970%. The results of the acquisition of this percentage can be used as a reference for the government to weigh the economic policies that will be enacted in order to reduce the negative impacts arising from fluctuations in the IDR exchange rate.
A GARCH Model for Forecasting Volatility of Oil and Gas Exports in Indonesia Mahmudah, Umi
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 21 No. 2 (2024)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/2540766X.2024.v21.i2.16836

Abstract

This research aims to analyze the dynamics of oil and gas exports in Indonesia during the period from 2012 to 2022 using the GARCH approach for forecasting volatility. The data utilized in this study encompass the monthly published volumes of Indonesia's oil and gas exports, sourced from the Indonesian Central Statistics Agency's website. The analysis involves a substantial amount of data, comprising 132 monthly time series spanning a significant timeframe. The findings indicate that the most suitable model for predicting oil and gas volumes is the GARCH (1,1) model. The GARCH approach is employed to model the volatility within the data of oil and gas exports. The results reveal the utilization of information criteria, including Akaike (14.73), Bayes (14.86), Shibata (14.73), and Hannan-Quinn (14.79). Moreover, the forecast analysis for the next ten periods depicts a consistent upward trend. Generally, these forecast results suggest that while the mean values of the data remain relatively stable, the volatility levels are anticipated to increase over the forthcoming periods. The implications of this research are crucial within the context of economic and international trade, as the volatility in oil and gas exports can significantly impact national economic policies and corporate decisions.
Determination of Motor Vehicle Insurance Risk Premium Mustofa, Pramesti Melyna; Muhammad, Hubbi
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 21 No. 2 (2024)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/2540766X.2024.v21.i2.17256

Abstract

Insurance is a service that transfers specific financial loss risks to an insurer in exchange for a fixed payment, known as a premium. The determination of this premium is tailored to the policyholder's level of risk. In this study, the calculation of premium risks is conducted by analyzing the frequency and size of claims related to motor vehicle insurance. The analysis focuses on different types of vehicles and their associated risks, as well as variations in vehicle usage based on geographical regions. This approach enables insurers to better understand risk patterns and predict potential future losses, ensuring accurate premium determination

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