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RAGAM: Journal of Statistics and Its Application
Published by Universitas Lambung Mangkurat
ISSN : -     EISSN : 29628539     DOI : https://doi.org/10.20527/ragam.vXXX
Core Subject : Economy, Humanities, Health, Science, Education,
Humanities Computer Science & IT Economics, Econometrics & Finance Mathematics Public Health
RAGAM Journal publishes scientific articles in the field of statistics and its applications, including: * Biostatistics * Parametric and nonparametric statistics * Quality control * Econometrics and business * Industrial statistics * Time series analysis * Spatial statistics * Data mining * Computational statistics * Applications of statistics in the medical, economic, social, environmental, industrial, technological, and other related fields
Arjuna Subject : Matematika - Statistik dan Probabilitas
Articles 50 Documents
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ANALISIS PERAMALAN CUACA KOTA SURABAYA MENGGAnalisis Peramalan Cuaca Kota Surabaya Menggunakan Pendekatan Autoregressive Integrated Moving Average (ARIMA) UNAKAN PENDEKATAN AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) Latisa Alifa Maura; Nikmah Handayani; Devina Nadifa Nur Aulia; M. Al Haris
RAGAM: Journal of Statistics & Its Application Vol 3, No 2 (2024): RAGAM: Journal of Statistics & Its Application
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/ragam.v3i2.12963

Abstract

Erratic weather is a crucial issue that can disrupt activities in all aspects. Weather monitoring needs to be done to avoid adverse consequences. ARIMA is one of the methods that can be used in weather forecasting because it is produce high accuracy, especially on short-term data. This research aims to get the best ARIMA model that produces accurate forecasting with the smallest error. Based on the research results, the best models obtained for temperature and humidity variables are (0,0,2) and (1,01) with MAPE values of 2.57% and 6.5%. Thus, the ARIMA model has very accurate forecasting performance.
Pengaruh Faktor Makroekonomi Terhadap Return Harga Saham Jakarta Islamic Index (JII) Menggunakan Metode Regresi Data Panel Intan Salsabila; Sigit Dwi Prabowo; Fuad Muhajirin Farid
RAGAM: Journal of Statistics & Its Application Vol 4, No 1 (2025): RAGAM: Journal of Statistics & Its Application
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/ragam.v4i1.15389

Abstract

The Indonesian capital market has experienced developments that show its role as an important component in the economy. As one of the countries with a Muslim population, the Jakarta Islamic Index (JII) is used as an investment in stocks based on sharia. Every investor in the capital market, whether based on sharia or conventional, really needs relevant information about what macroeconomic factors can affect investment activities, especially on stock returns. The purpose of this study is to analyze the effect of macroeconomic factors, namely inflation, interest rates, and exchange rates on stock returns in companies listed on the Jakarta Islamic Index (JII) for the 2019-2022 period using the panel data regression analysis method. A method that is more likely to build and test more complex regression models. Based on the results of panel data regression processing, using the common effect model approach as the best model, the results of the f test showed that inflation, interest rates and exchange rates simultaneously had a significant effect on stock returns. The results of the t test also showed that inflation, interest rates, and exchange rates partially had a significant effect on stock returns.
PENGARUH GOOD CORPORATE GOVERNANCE TERHADAP NILAI PERUSAHAAN DENGAN PROFITABILITAS SEBAGAI VARIABEL MODERATING Gelu Savira Dwi Cahyani; Muhammad Riza Hafizi; Enriko Tedja Sukmana; Fuad Muhajirin Farid; Muhammad Noval
RAGAM: Journal of Statistics & Its Application Vol 3, No 1 (2024): RAGAM: Journal of Statistics & Its Application
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/ragam.v3i1.11903

Abstract

Good Corporate Governance is good and correct corporate governance to create added value for all stakeholders. A company's value is good if corporate governance is implemented well. Implementing good GCG will increase profits and reduce the risk of losses in the future so that it can increase company value. This research aims to examine the influence of Good Corporate Governance on Company Value with Profitability as a Moderating Variable in mining companies listed on the Indonesia Stock Exchange 2015-2019. The population of this research is all mining companies listed on the Indonesia Stock Exchange (BEI) in 2015-2019. The sampling method uses purposive sampling with a total sample of 3 companies. The data analysis method used is SEM-based Patrial Least Square (PLS) software. This research concludes that from the results of data analysis, based on predetermined decision-making, the results of this research are that Good Corporate Governance (GCG) has a positive and significant effect on company value. Then, profitability does not moderate the influence of GCG on company value.
ANALISIS FAKTOR UNTUK PEMBENTUKAN INDEKS KESEHATAN IBU DI PROVINSI KALIMANTAN SELATAN Noorsa'adah Noorsa'adah; Nur Salam; Dewi Anggraini
RAGAM: Journal of Statistics & Its Application Vol 2, No 2 (2023): RAGAM: Journal of Statistics & Its Application
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/ragam.v2i2.11489

Abstract

Maternal health is an important health problem because mothers are the printers of the next generation. Maternal health can describe the quality of the child to be born, so maternal health is very important to pay attention to. In Indonesia, the government has made various efforts to improve maternal health, which is still far from being expected. In this improvement effort, it is necessary to have a measure that can be used to monitor and evaluate the health development carried out, especially in the Province of South Kalimantan. Therefore, this study aims to establish a measure that can be used to describe maternal health through a composite index approach. The formation of the composite index is carried out using a technique offered by the Organization for Economic Co-Operation and Development (OECD), namely using factor analysis. Factor analysis was conducted to reduce indicators that were not significant in describing maternal health. Furthermore, the composite index formed is used to group districts/cities to make it easier to set priorities for maternal health development in South Kalimantan Province. Based on factor analysis results, the final indicators used to form the maternal health index amounted to 24 of the 30 initial indicators. After that, from the formation of the maternal health index using the composite index, it was found that the best maternal health was dominated by the cities of Banjarbaru and Banjarmasin. Meanwhile, the worst maternal health index is in Hulu Sungai Selatan District. Keywords:  Maternal Health , Composite Index, Factor Analysis.
ANALISIS FAKTOR-FAKTOR YANG MEMEPENGARUHI KEDISIPLINAN KERJA PEGAWAI DI PT UBJ MENGGUNAKAN REGRESI LOGISTIK ORDINAL Muhammad Shiddieq Adjie Yudhistira; Dewi Anggraini; Aprida Siska Lestia
RAGAM: Journal of Statistics & Its Application Vol 2, No 1 (2023): RAGAM: Journal of Statistics & Its Application
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/ragam.v2i1.9248

Abstract

The Baratama Jesindo Business Limited Liability Company (PT. UBJ) is a company engaged in coal mining and has a mining business license area of 228.25 Ha. Discipline is one of the factors that affect employee performance. Work discipline is a factor that has an important role in achieving good work goals. To get good performance, employees must have high discipline. This study aims to determine the factors that influence employee discipline at PT UBJ using ordinal logistic regression analysis and explain the relationship between the level of employee discipline and factors that are statistically significant. This study uses the ordinal logistic regression method which can be used for ordinal data taken through questionnaires at PT. UBJ. The results of this study simultaneously there is no one variable that has a significant effect. Partially, it shows that the factors that have a significant effect are the Sanctions variable, the Sanctions variable affects employee discipline at PT. UBJ in general is 7%.
COMPARISON OF SIX NORMAL DISTRIBUTION PARAMETER ESTIMATION METHODS: MONTE CARLO SIMULATION STUDY WITH COMPREHENSIVE EVALUATION Pardomuan Robinson Sihombing
RAGAM: Journal of Statistics & Its Application Vol 4, No 2 (2025): RAGAM: Journal of Statistics & Its Application
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/ragam.v4i2.17104

Abstract

Estimating normal distribution parameters is one of the fundamental problems in statistics that has attracted the attention of researchers for more than two centuries. This study aims to analyse and compare the performance of six normal distribution parameter estimation methods, which include Method of Moments (MoM), Maximum Likelihood Estimation (MLE), Least Squares Estimation (LSE), Bayesian Estimation, Percentile Matching, and Generalised Method of Moments (GMM), through a systematic and comprehensive approach. The methodology of this study combines rigorous theoretical mathematical derivation for each estimation method with empirical evaluation through extensive Monte Carlo simulations. Each method was derived mathematically from the basic principle to the final estimator formula, then implemented in a simulation with 500 replications on various sample sizes, i.e. n = 30, 50, 100, and 200, of the normal distribution of N (5, 4). In small samples with n = 30, Percentile Matching showed the highest MSE for   parameter estimation with a value of 0.162, while MoM, MLE, and LSE showed the best performance with MSE for μ parameter of 0.127 and MSE for parameter 0.067. The main conclusions of this study show that MLE provides an optimal balance between statistical accuracy and computational efficiency for most practical applications. Bayesian Estimation shows good stability at all sample sizes and is superior when informative prior information is available. 
PENERAPAN METODE HYBRID ARIMA-ANN UNTUK MEMPREDIKSI HARGA SAHAM PT. BNI (PERSERO) TBK Ahmad Amrullah; Oni Soesanto; Maisarah Maisarah
RAGAM: Journal of Statistics & Its Application Vol 1, No 1 (2022): RAGAM: Journal of Statistics and Its Application
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/ragam.v1i1.7328

Abstract

 Stock price is the stock price that occurs in the stock market at a certain time determined by market participants. Stock prices fluctuate up and down from time to time, most investors only use instinct to predict stock prices. Therefore, it is necessary to analyze the time series to predict stock prices. One of the models in time series is ARIMA. However, the ARIMA model has the disadvantage of only being able to follow a linear time sequence pattern. to address these weaknesses, ANN models are used that can follow nonlinear patterns. This is the ARIMA-ANN hybrid. The purpose of this study is to identify the model and determine the accuracy of the Arima-ANN hybrid model and predict the stock price in the next period. The Data used is secondary data from the site investing.com. determination of ARIMA model is done by dividing the data into training data and testing data. The results obtained by the best ARIMA model is ARIMA (2,1,2) with MAPE 1.468% of the training data. With the best ARIMA model, obtained residuals for ANN input. The result obtained is the best network architecture 5-10-1 learning rate 0.3 with the smallest error value. From the test results of the hybrid model ARIMA-ANN to the testing data obtained MAPE value of 7.024%. Then the prediction for the next 25 days obtained an average of 7915 rupiah per day and MAPE 6.349%.Keywords:  Hybrid ARIMA-ANN, Predictions, Stock
PERAMALAN JUMLAH PENUMPANG BUS RAPID TRANSIT (BRT) BANJARBAKULA DENGAN METODE AUTOREGRESSIVE INTEGRATED MOVING AVERAGE WITH EXOGENOUS VARIABLE (ARIMAX) DENGAN EFEK VARIASI KALENDER Eka Ayu Frasetyowati; Nur Salam; Yeni Rahkmawati
RAGAM: Journal of Statistics & Its Application Vol 3, No 1 (2024): RAGAM: Journal of Statistics & Its Application
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/ragam.v3i1.12789

Abstract

Banjarbakula Bus Rapid Transit (BRT) is an inner-city bus-based mass transit system that provides a sense of comfort, safety, speed in mobility, and low cost in serving the citizens of Banjarmasin City and Banjarbaru City. Based on data on the number of passengers on the Banjarbakula BRT for the period April 2020 - February 2023, public interest in using the Banjarbakula BRT as a mode of transportation is quite high. However, the limited units and operational schedules make the Banjarbakula BRT unable to fully meet the needs of the public. Forecasting the number of passengers of BRT Banjarbakula for the next 12 periods is one of the measures to prepare the infrastructure, quality and units of BRT Banjarbakula in order to facilitate the public and create a better transportation system. In the Banjarbakula BRT passenger data, there is an increase in the number of passengers at certain times such as during religious holidays and school holidays, so this increase in passenger numbers is thought to be due to the influence of the calendar variation effect. This research intends to forecast the number of passengers of BRT Banjarbakula using the best ARIMAX model with the effect of calendar variation. The results indicate that the ARIMAX (0, 1, 1) model is the best ARIMAX model to forecast the number of passengers of BRT Banjarbakula for the next 12 periods. The forecast results indicate an increase in the month where the Christmas celebration and also the memorial haul guru sekumpul, so that the variable Christmas celebration and memorial haul guru sekumpul significantly affect the number of passengers of BRT Banjarbakula.Keywords: Forecasting, BRT Banjarbakula, ARIMAX with calendar variation effects
PENGARUH BUDIDAYA LEBAH MADU TERHADAP PEREKONOMIAN MASYARAKAT DI KOTA PALANGKA RAYA Amalina Putri Syahira; Muhammad Riza Hafizi; Hasnita Handayani
RAGAM: Journal of Statistics & Its Application Vol 2, No 2 (2023): RAGAM: Journal of Statistics & Its Application
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/ragam.v2i2.11902

Abstract

The aim of this research is to determine the effect of honey bee cultivation on the economy of the people in Palangka Raya and from a Sharia Economic perspective. type of research causal research. The researcher's data collection method uses questionnaires. The population in this study were honey bee cultivation managers from the 3 (three) Forest Farmer Groups (KTH) supported by the Central Kalimantan Provincial Forestry Service, totaling 40 people, while the sample in this study was 40 people from all members of the population. The data analysis technique used is a simple linear regression analysis technique using the SPSS 25 program. The results of the research show that the honey bee cultivation variable has a significant positive effect on the community economy, which means that the higher the value of the honey bee cultivation variable, the higher the value of the community economic variable. Based on a sharia economic perspective, this is appropriate because honey bee cultivation managers have implemented the indicators that researchers use, such as social solidarity, transparency and trust.
ANALISIS PENGARUH PEMBELAJARAN DARING TERHADAP PRESTASI BELAJAR SISWA DIMASA PANDEMI COVID-19 MENGGUNAKAN MODEL REGRESI BERGANDA (STUDI KASUS DI SMPN 33 BANJARMASIN) Muhammad Yusril Widodo; Nur Salam; Aprida Siska Lestia
RAGAM: Journal of Statistics & Its Application Vol 2, No 1 (2023): RAGAM: Journal of Statistics & Its Application
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/ragam.v2i1.10043

Abstract

The impact of the Covid-19 pandemic that occurred from 2019-2021 has had an impact on many sectors, one of which is the education sector. With this pandemic, learning takes place online which is possible for junior high school students is not an effective thing so that it has an impact on the final grades of student learning. This study aims to estimate the parameters of the multiple linear regression model formed in the analysis of the effect of online learning on student achievement at SMPN 33 Banjarmasin during the Covid-19 pandemic, and to explain the factors that significantly influence student achievement at SMPN 33 Banjarmasin during the pandemic. Covid-19. This study uses the independent variables of learning media and teacher teaching methods while the dependent variable uses student achievement. The population of this research is students at SMPN 33 Banjarmasin with a total sample of 120 respondents. Analysis was performed using multiple linear regression analysis. The results of the study showed that there was a significant influence between learning media and teacher teaching methods on student achievement at SMPN 33 Banjarmasin during the Covid-19 pandemic. Other results are shown based on testing the hypothesis that the variable that has the most influence is the teacher's teaching method variable. The teacher's teaching method variable (X2) has the largest relative contribution compared to the learning media variable (X1). Keywords: Online Learning, Learning Achievement, Multiple Linear Regression

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