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Muhammad Athoillah
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kampus II Universitas PGRI Adi Buana Surabaya Jl. Dukuh Menanggal XII, Surabaya 60234 Jawa Timur, Indonesia.
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J Statistika : Jurnal Ilmiah Teori Dan Aplikasi Statistika
Published by Universitas PGRI Adi Buana Surabaya
ISSN : 20890028     EISSN : 26547511     DOI : https://doi.org/10.36456/jstat.vol16.no2
Core Subject : Economy, Science,
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance
This journal publishes scientific articles in the form of research results, case studies, or literature reviews on various aspects related to the field of statistics, scientific data and their applications. Such as Computing, Time Series, Multivariate, Data Mining, Biostatistics, Survival Analysis, Econometrics, Spatial Analysis, Actuarial, Quality Control, Bayesian Analysis, Development Research in Statistics, Natural Language Processing, Applied Mathematics, Applied Statistics. However, the editorial team does not rule out other topics in the fields of statistics and scientific data.
Arjuna Subject : -
Articles 278 Documents
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Dynamical Analysis of Mathematical Model of Social Behavior with Law Enforcement and Religious Approaches
J STATISTIKA: Jurnal Imiah Teori dan Aplikasi Statistika Vol 17 No 1 (2024): Jurnal Ilmiah Teori dan Aplikasi Statistika
Publisher : Faculty of Science and Technology, Univ. PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/jstat.vol17.no1.a9289

Abstract

Mathematical models could be used to describe various phenomena, one of which is social phenomena. One of the interesting social phenomena to study is criminal behavior. By dividing the total population into several compartments based on their social behavior status, a mathematical model could be constructed to depict social dynamics. These social dynamics could be understood through dynamical analysis and numerical simulation. In this study, numerical simulations were conducted using Maple 2022 software and the Runge-Kutta method. Based on the results of dynamical analysis and numerical simulations, it is known that by implementing law enforcement and religious approaches, criminal activities within a population could be reduced or even eliminated.
Generalized Poisson Regression Modeling on the Number of Infant Deaths in East Nusa Tenggara Province in 2022
J STATISTIKA: Jurnal Imiah Teori dan Aplikasi Statistika Vol 17 No 2 (2024): Jurnal Ilmiah Teori dan Aplikasi Statistika
Publisher : Faculty of Science and Technology, Univ. PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/jstat.vol17.no2.a9318

Abstract

The number of infant deaths in East Nusa Tenggara (NTT) Province is still above the national average. This research was conducted to investigate the Generalized Poisson Regression (GPR) model for addressing the overdispersion in the Poisson regression model of the number of cases of infant deaths and to explore the potential factors influencing the number of infant deaths in the province. The variable used is the number infant mortality as a response variable, and the number of predictor variables that are thought to influence the response variable.  The data used is secondary data obtained from the publication by the Central Statistics Agency of ENT Province from each of the 22 cities/regencies. The study shows data on the number of cases of infant mortality experienced overdispersion with a ratio between deviance and degrees of freedom of 3.578. Modeling with GPR shows that the model with 5 independent variables produces an optimal model with an AIC value of 184.145. Those variables are the percentage of households with access to adequate sanitation, the percentage of births assisted by parties other than medical personnel, the number of teenagers who received reproductive health counseling, the percentage of the population aged 0-59 months who received incomplete immunization, and the number of health facilities.
Distribution of Soap X in East Java Region with Bhumal Method and Traveling Salesman Problem
J STATISTIKA: Jurnal Imiah Teori dan Aplikasi Statistika Vol 17 No 1 (2024): Jurnal Ilmiah Teori dan Aplikasi Statistika
Publisher : Faculty of Science and Technology, Univ. PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/jstat.vol17.no1.a9347

Abstract

The product distribution process is an effort by producers to deliver their products to consumers with a registered and programmed system. Product distribution to consumers must be handled carefully and carefully. Because this can be one of the obstacles for companies in winning competition with other companies if the distribution speed is not high. The speed or slowness of product distribution to consumers, one of which depends on the proximity between the dealer's warehouse and the market (consumers).  The purpose of this data presentation and analysis is to better understand how to make data, analyse, and make conclusions that can determine a decision on a logistics process in general and bar soap products with transportation cost optimisation using the bhumal method and Traveling Salesman Problem.
The Effect of Motivation, Work Discipline, and Organizational Commitment on Employee Performance at PT. Hebsa Indonesia
J STATISTIKA: Jurnal Imiah Teori dan Aplikasi Statistika Vol 17 No 1 (2024): Jurnal Ilmiah Teori dan Aplikasi Statistika
Publisher : Faculty of Science and Technology, Univ. PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/jstat.vol17.no1.a9365

Abstract

Human resources are a crucial asset in an organization, as they play a key role in implementing policies and operational activities. Companies with good human resources will achieve optimal results in their performance. It is essential for organizations to refine their planning to enhance employee productivity. This research aims to examine the impact of motivation, work discipline, and organizational commitment on employee performance at PT. Hebsa Indonesia, involving all 35 employees. The sampling technique used in this study is saturated sampling. The research method employed is quantitative. Data analysis was conducted using SmartPLS 3 software with the Partial Least Square (PLS) approach. The results indicate that motivation does not have an effect on employee performance at PT. Hebsa Indonesia, while work discipline and organizational commitment do influence employee performance.
Statistical Quality Control (SQC) Method Analysis Regarding Qualty Control of Shoe Products (Case Study of PT-X)
J STATISTIKA: Jurnal Imiah Teori dan Aplikasi Statistika Vol 17 No 1 (2024): Jurnal Ilmiah Teori dan Aplikasi Statistika
Publisher : Faculty of Science and Technology, Univ. PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/jstat.vol17.no1.a9376

Abstract

The shoe industry plays an important role in the economy with mass production, creating fierce competition. Companies need to plan production carefully to meet market demand. Observations show that there are production defects that reduce performance and cause losses, especially in distribution. This research uses P-Chart Analysis to compare the proportion of defective products, aiming to detect errors before sale. The application of a quality control method through Statistical Quality Control (SQC) is proposed. The Pareto diagram identifies the main types of damage: over cementing (35.9%), open bonding (27.7%), overlay (24.1%), metal material damage (6.3%), and material damage (6.1 %). P-Chart analysis found points outside the control limits in the 15th and 18th data, which were removed for sample stabilization. Fishbone analysis helps identify the cause of the problem. Over cementing, open bonding, and overlay are caused by human, material, and machine factors. Damage to metal materials and materials is also caused by human, material and machine factors, as well as method factors. This research shows the importance of implementing quality control to reduce production defects and improve company performance.
Weibull Regression Survival Analysis on the Rate of Recovery of Thyphoid Fever Patients: Case Study of RSUD Haji Makassar
J STATISTIKA: Jurnal Imiah Teori dan Aplikasi Statistika Vol 17 No 2 (2024): Jurnal Ilmiah Teori dan Aplikasi Statistika
Publisher : Faculty of Science and Technology, Univ. PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/jstat.vol17.no2.a9416

Abstract

Survival analysis is a statistical method used in studying survival related to time, from the beginning of the study to the end of the study. The purpose of survival analysis is to determine the relationship between survival time and independent variables in research that are thought to affect survival time. This study uses weibull regression survival analysis to see the factors that significantly affect the recovery rate of patients with typhoid fever at the Makassar Hajj Hospital in 2022. The results of the analysis of factors that have a significant effect on the rate of recovery of patients with typhoid fever are heartburn. Patients with a history of having heartburn have a hazard ratio value of 1.779, which means that patients with typhoid fever who experience heartburn have a faster recovery rate of 1.779 times compared to patients who do not experience heartburn.
Three–Phase Traffic Light Petri Net Model Using The Modified Norwegian System
J STATISTIKA: Jurnal Imiah Teori dan Aplikasi Statistika Vol 17 No 2 (2024): Jurnal Ilmiah Teori dan Aplikasi Statistika
Publisher : Faculty of Science and Technology, Univ. PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/jstat.vol17.no2.a9591

Abstract

Petri nets can be used to model the behavior of traffic light signals. The Petri net model also makes it possible to provide synchronization of several traffic light phases. The Petri net model can represent the modified Norwegian system signal, which lights up in the sequence green, yellow, red, yellow, and then goes back to green again. The yellow signal flashes twice in each traffic light cycle modified Norwegian system. This study aims to examine the Petri net model of traffic lights with three phases using the modified Norwegian system. Methods for validating and verifying the correctness of the Petri net model used several Place-Invariants, boundedness properties on the Petri net, conservation, coverability trees for various signal conditions, and simulation. Based on the study results, the Place-Invariant and the Petri net properties can represent that the model is correct and feasible. The simulation also presents the correct sequence of modified Norwegian system signals.
Potential Productivity of Quail Farming in Ngaliyan, Pulutan, Wonosari, Gunungkidul
J STATISTIKA: Jurnal Imiah Teori dan Aplikasi Statistika Vol 17 No 2 (2024): Jurnal Ilmiah Teori dan Aplikasi Statistika
Publisher : Faculty of Science and Technology, Univ. PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/jstat.vol17.no2.a9722

Abstract

Quails are a type of poultry with significant productivity potential that can be developed and improved through enhanced care to achieve optimal production. This study aims to analyze the factors influencing the production of laying quail farms in Ngaliyan, Pulutan, Wonosari, Gunungkidul. If low egg production becomes an obstacle for farmers, it can hinder efforts to increase productivity and meet consumer demand. The purpose of this research is to identify the various factors influencing quail egg production. The study employs a mixed-method approach, combining qualitative and quantitative techniques, with multiple linear regression analysis. The results indicate that income from quail egg production is IDR 193.011.950 per business period (15 months). Multiple linear regression analysis shows that both independent variables, feed cost (X₁) and labor cost (X₂), have a significant effect on quail egg production (Y), with a significance level of <0.001. The feed cost variable (X₁) has a dominant positive influence, while labor cost (X₂) has a negative influence. The relationship between the two independent variables and egg production is 88.1%, with 11.9% influenced by other factors outside of the study. The regression model used is strong and valid, demonstrating the significant impact of both independent variables on the dependent variable.
Application of Dummy Regression to Estimate the Income of the Working Population in East Lombok
J STATISTIKA: Jurnal Imiah Teori dan Aplikasi Statistika Vol 18 No 1 (2025): Jurnal Ilmiah Teori dan Aplikasi Statistika
Publisher : Faculty of Science and Technology, Univ. PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/jstat.vol18.no1.a9808

Abstract

This research was carried out at the Central Bureau of Statistics in East Lombok between October 7 and November 20, 2024, aiming to explore the determinants of individual income within the region. The study utilized secondary data, specifically drawn from the National Labor Force Survey (Sakernas). It investigates how variables such as sex, age, marital status, level of education, working hours, job status, industry sector, and job type contribute to the income levels of workers in East Lombok. The analysis produced a regression model capable of estimating income based on the aforementioned factors. The model achieved a coefficient of determination of 0.747, suggesting a moderately strong relationship between the predictor variables and income as the outcome variable. Furthermore, the results indicate that 52.1% of income variation is explained by the variables included in the model, while the remaining 47.9% is attributable to external influences not captured in this study. Overall, this study offers valuable insight into the key factors shaping income in East Lombok and may serve as a useful reference for policymakers aiming to enhance community welfare and address poverty reduction in the area.
Optimization of Spare Part Inventory for Mask Production Machines at PT. XYZ to Enhance Productivity
J STATISTIKA: Jurnal Imiah Teori dan Aplikasi Statistika Vol 17 No 2 (2024): Jurnal Ilmiah Teori dan Aplikasi Statistika
Publisher : Faculty of Science and Technology, Univ. PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/jstat.vol17.no2.a9836

Abstract

This study focuses on the optimization of spare part inventory for mask production machines at PT. XYZ with the aim of enhancing productivity and reducing operational costs. The research identifies key failure points in the mask machines, including issues with the conveyor system, pulley pulls, and ultrasonic sealers, which were the main contributors to production downtime. This study adopts a quantitative research approach, focusing on the systematic collection and analysis of numerical data to draw conclusions and provide objective insights into the issues being studied. By applying inventory management concepts such as safety stock, service levels, and periodic reviews, the study determines the optimal spare part inventory levels required to ensure component availability and minimize the risk of stockouts. The implementation of the PDCA (Plan-Do-Check-Act) method further improves machine maintenance processes, leading to an increase in machine effectiveness levels. Additionally, effective inventory management reduces waste due to over-purchasing and mismanagement of spare parts. The findings highlight that by optimizing spare part inventory and improving machine maintenance, PT. XYZ was able to reduce downtime, minimize operational costs, and enhance overall productivity, contributing to greater efficiency and profitability.

Page 24 of 28 | Total Record : 278

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