bluuebunny/crossref_metadata_2025_split huggingface dataset:
COMPARISON OF CONTROL CHART X ̅ BASED ON MEDIAN ABSOLUTE DEVIATION WITH S
Authors: Mayashari Mayashari , Herdiani Erna Tri , Anisa Anisa 
Published: May 2024

A stable and controlled process will produce products of good quality following predetermined specifications. A control chart is one of the statistical tools that can be used to measure the stability of a product process in a controlled state. Control charts commonly used to evaluate the statistical control process are Shewhart control charts ( and ). The control chart is used to control the process, as seen from the average and variability of the process. If the data used is not normally distributed or there are outliers, then an alternative control chart, namely the Median Absolute Deviation (MAD), can be used. MAD is used to monitor the process mean and process standard deviation because it has properties that are robust or resistant to deviations. This research aims to form a control chart based on MAD, apply it to data on fat content in animal feed products, and compare control charts based on with the control chart based on control chart based on MAD. The limitations in this study are the quality characteristics used consist of only one variable and the data is not normally distributed, only limited to the mean process, and the data used in this study are observation data on the fat content contained in animal feed products at PT Japfa Comfeed Indonesia Tbk Makassar Unit from December 2021 to January 2022. The results of this study show that the control chart based on MAD detects more out-of-control points than the control based on . The performance of the control chart based on MAD is better at detecting changes in the process than the control chart based on because it has a relatively smaller ARL value.
ON THE LOCATING CHROMATIC NUMBER OF DISJOINT UNION OF BUCKMINSTERFULLERENE GRAPHS
Authors: Zulkarnain Debi , Yulianti Lyra , Welyyanti Des , Mardimar Kiki Khaira , Fajri Muhammad Rafif 
Published: May 2024

Let be a connected non-trivial graph. Let c be a proper vertex-coloring using k colors, namely . Let be a partition of induced by , where is the color class that receives the color . The color code, denoted by , is defined as , where for , and is the distance between two vertices and in G. If all vertices in have different color codes, then is called as the locating-chromatic -coloring of . The locating-chromatic number of , denoted by , is the minimum such that has a locating coloring. Let be the Buckminsterfullerene graph on vertices. Buckminsterfullerene graph is a 3-connected planar graph and a member of the fullerene graphs, representing fullerene molecules in chemistry. In this paper, we determine the locating chromatic number of the disjoint union of Buckminsterfullerene graphs, denoted by .
COMMISSIONERS METHOD FOR LAST SURVIVOR WHOLE LIFE INSURANCE RESERVES WITH GOMPERTZ LAW
Authors: Hidayat Agus Sofian Eka , Styven Arnol 
Published: May 2024

Life insurance plays an important role in protecting one’s life in terms of financial risks. The right required reserve is one aspect that should be secured to obtain a good company’s financial health. A study reported that insufficient reserve is one of the primary causes of insolvency issues among bankrupted insurance companies. Therefore, this study aims to use the Commissioners method in calculating the reserve of the last-survivor whole life insurance policy The Gompertz mortality law is used to estimate Indonesian death probability of age . Gompertz law is employed due to its practical convenience in dealing with continuous case calculation. Linear Least Square Method will be utilized to estimate the Gompertz parameters and . This study uses secondary data from Indonesian Mortality Table IV published by OJK. The result of this study is that the reserve of multiple life status policies, such as last-survivor insurance, depends on the states of individuals of each pair. In this study, the reserve has the highest amount in cases where only the male person is alive. Average Relative Error values of the estimated Gompertz to the TMI IV show that the overall accuracy exhibits a deviation of up to 1.67%. MAPE values of Gompertz show that the estimated model best fits the TMI IV for the interval age of 0-60.
BAYES ESTIMATION OF EXPONENTIALLY DISTRIBUTED SURVIVAL DATA UNDER SYMMETRIC AND ASYMMETRIC LOSS FUNCTIONS
Authors: Faladiba Muthia Nadhira , Ahdika Atina 
Published: May 2024

In a research study, population data are often not available, so the population parameter is unknown. Meanwhile, knowledge about the population parameter is needed to know the characteristics of the studied population. Therefore, it is needed to estimate the parameter of the population which can be estimated by sample data. There are several methods of parameter estimation which are generally classified into classical and Bayesian method. This research studied the Bayesian parameter estimation method to determine the parameters of the exponentially distributed survival data associated with the reliability measure of the estimates under symmetric and asymmetric loss functions for complete sample data in a closed form. The symmetric loss functions used in this research are Squared Error Loss Function (SELF) and Minimum Expected Loss Function (MELF). The asymmetric loss functions used are the General Entropy Loss Function (GELF) and Linex Loss Function (LLF). Performance of some loss functions used in this research are then compared through numerical simulation to select the best loss function in determining the parameter estimation of the exponentially distributed survival data. We also studied which loss function is best for underestimation and overestimation modeling. Based on simulation results, the Bayes estimates using MELF is the best method to estimate population parameters of the exponentially distributed survival data for the overestimation modeling, while LLF is the best for the underestimation modeling. We provided direct application in a case study of fluorescence lamp survival data. The results show that the best method to estimate the parameter of the standard fluorescence life data is using LLF for underestimation with and MELF for overestimation with .
ON THE MOMENTS OF THE 3-PARAMETER GOMPERTZ DISTRIBUTION
Authors: Hakiki Moch Taufik , Adipradana Dimaz Wisnu , Ahmad Imam Safawi , Putri Lahfanda Dista Permata 
Published: May 2024

Gompertz distribution is a classical probability distribution extensively used in actuarial science, reliability, and survival analysis. Gompertz distribution also plays a role in various fields, such as biology, economics, and marketing analysis. Some extensions of this distribution have been studied and applied to various problems. In this article, we are concerned with some statistical properties of a 3-parameter Gompertz distribution. This extension of the Gompertz distribution introduced has been used in studying competing risk survival analysis. Our main results are the derivation of moments of this distribution and other statistical properties related to moments, such as moment generating function, mean residual life function, mean inactivity time and Lorenz curve. These results will serve as a complement to the theoretical aspect of the analysis of the distribution.
CRAMER’S RULE IN MIN-PLUS ALGEBRA
Authors: Putri Zakia Nur Ramadhani , Siswanto Siswanto , Kurniawan Vika Yugi 
Published: May 2024

Cramer’s rule is one of a method for solving a system of linear equations in conventional algebra. The system of linear equation can be solved using Cramer’s rule if . Max-plus algebra is a set where is a set of real numbers, equipped with biner operations and where and . Min-plus Algebra is a set where is a set of real numbers, equipped with biner operations and where and . In max-plus algebra has been formulated Cramer’s rule to solve a system of linear equations. Because max-plus algebra is isomorphic to min-plus algebra, Cramer’s rule can be formulated into min-plus algebra. The purpose of this research is to determine the sufficient conditions for a system of linear equations can be solved using Cramer’s rule. The method used in this research is a literature study that reviews previous research related to min-plus algebra, max-plus algebra, and Cramer’s rule in max-plus algebra. By using the appropriate analogy in max-plus algebra, we can determine the sufficient conditions so that a system of linear equations in min-plus algebra can be solved using Cramer’s rule. Based on the research, the sufficient conditions for a system of linear equations can be solved using Cramer’s rule are for and with the Cramer’s rule is . For an invertible matrix A, Cramer’s rule can be written as .
THE UNINFORMATIVE PRIOR OF JEFFREYS’ DISTRIBUTION IN BAYESIAN GEOGRAPHICALLY WEIGHTED REGRESSION
Authors: Faisal Fachri , Pramoedyo Henny , Astutik Suci , Efendi Achmad 
Published: May 2024

When using the Bayesian method for estimating parameters in a geographically weighted regression model, the choice of the prior distribution directly impacts the posterior distribution.
The distribution known as the Jeffreys prior is an uninformative type of prior distribution and is invariant to reparameterization. In cases where information about the parameter is not available, the Jeffreys' prior is utilized. The data was fitted with an uninformative Jeffreys' prior distribution, which yielded a posterior distribution that was utilized for estimating parameters. This study aims to derive the prior and marginal posterior distributions of the Jeffreys' and in Bayesian geographically weighted regression (BGWR). The marginal posterior distributions of and can be obtained by integrating the other parameters of a common posterior distribution. Based on the results and discussion, the Jeffreys prior in BGWR with the likelihood function is . On the other hand, the marginal posterior distribution of follows a normal multivariate distribution, that is, , while the marginal posterior distribution of follows an inverse gamma distribution, that is, . As further research, it is necessary to follow up on several limitations of the results of this research, namely numerical simulations and application to a particular case that related to the results of the analytical studies that we have carried out.
MODELING CHRONIC FILARIASIS CASES IN WEST JAVA USING A MULTIVARIATE ADAPTIVE APPROACH REGRESSION SPLINES
Authors: Kurniawan Ardi , Firmansyah Mochammad , Saifudin Toha 
Published: May 2024

One of the most crippling infectious diseases in the world is filariasis. Indonesia is a unitary country with 34 provinces, where West Java is one of the 5 provinces with the most filariasis sufferers in Indonesia as of 2021. Reinfection occurs in places that have implemented POMP. Therefore, monitoring operations must be carried out to track the emergence of new cases and risk factors for transmission. The aim of this research focuses on describing and modeling the number of chronic filariasis in West Java, as well as interpreting the best model results obtained. The method used is a method with a nonparametric regression approach, namely Multivariate Adaptive Regression Spline. The results of the research show that the best model obtained is a combination of 15 base functions, maximum interaction 2, and minimum observation between knots 1. From this model, the predictor variable that has the most influence on the response variable in order based on the level of variable importance is the Percentage of Population Access to Facilities Decent Sanitation, Percentage of Households with Clean and Healthy Behavior (PHBS), Sex Ratio, and Percentage of Poor Population. The interpretation of the best model is that the variable Percentage of Population Access to Adequate Sanitation Facilities above 6,650% will contribute to a reduction in the number of chronic filariasis; the Sex Ratio variable below 103,300 will contribute in the form of a reduction in the number of chronic filariasis. it can be seen that the predictor variable that has the most influence on the response variable is the variable Percentage of Population Access to Proper Sanitation Facilities with an importance level of 100%.
THE CLEANNESS OF THE SUBRINGS OF M_2 (Z_P)
Authors: Alfiana Shinta Nur , Puspita Nikken Prima , Widowati Widowati 
Published: May 2024

Let be a ring. Ring is said to be a clean ring if every element of R can be expressed as the sum of a unit and an idempotent element. Furthermore, there are r-clean rings. An r-clean ring is a generalization of a clean ring. In an r-clean ring, all of its elements can be represented as the sum of a regular element and an idempotent element. Moreover, strongly r-clean rings were introduced. A strongly r-clean ring is a ring where every element of the ring can be expressed as the sum of a regular and an idempotent element, and the multiplication of that regular and idempotent is commutative. On the other hand, there is a ring of the set of matrices over ring denotes by . In this paper, we will discuss the cleanness properties, especially strongly r-clean of the subring of . The aims of this paper are to find the characteristics of strongly r-clean of the subring of . Here, we assumed that is a ring of matrix over .
ANALYSIS OF THE RELATIONSHIP BETWEEN FACTORS THAT INFLUENCE USER SATISFACTION IN GOJEK USING THE FUZZY DEMATEL METHOD
Authors: Putri Elisa Ananda , Sari Devni Prima 
Published: May 2024

Gojek is one of the most popular online transportation services in Indonesia. The success of Gojek is closely tied to user satisfaction. There are five factors influencing user satisfaction: service quality factor (A), price factor (B), ease of use factor (C), perceived benefit factor (D), and online servicescape factor (E). This research aims to identify which factors most significantly affect user satisfaction with Gojek services among students of the Mathematics Department at UNP. This study in applied research that is described using fuzzy DEMATEL and employs primary data obtained from questionnaire responses. The population of this study consists of students from the Mathematics Department at FMIPA UNP who enrolled in 2022, with a sample size of 75 students using the proportional random sampling technique. The results of this research indicate a significant relationship between the service quality factor (A) and price factor (B). With respective y coordinates of 0.583 and 2.074, the researcher can conclude that the price factor has the most significant influence on user satisfaction with Gojek among students of the Mathematics Department at FMIPA UNP in the 2022 cohort.
An integrated optimization model for procurement and production lot sizing and scheduling problems
Authors: Rosyidi Cucuk Nur , Permatasari Hani Aninda Intan , Laksono Pringgo Widyo 
Published: May 2024

Abstract
Lot sizing is a prevalent issue within manufacturing companies, where determining the optimal procurement and production lot sizes is crucial for maximizing profits. This problem has become more complex, given that numerous suppliers can provide the same raw materials with different prices and quantity discount schemes. A company should also determine optimal carriers to deliver materials to the company’s warehouse. In a manufacturing process, the company should determine the optimal production lot size and its schedules. In this paper, a model was developed to solve simultaneously procurement and production lot sizing, as well as production scheduling problems. The model encompasses multiple suppliers offering quantity discounts, aiming to maximize company profit by accounting for various costs, including procurement, production, inventory, and quality costs. A case study is taken from a company producing noodles and its related derivative products to illustrate the application of the model. Based on the optimization results, the company obtained a total profit of IDR. 14,656,550,000 or $950,921.30 (the exchange rate of $1 at IDR. 15,413). The sensitivity analysis results show that the objective function is sensitive to changes in the purchase cost, sale revenue, and discount rate parameters. The decision variables for accepted product demand, product quantity, and the starting and completion time of product family are only sensitive to changes in certain parameters. Meanwhile, the decision variables for product inventory, product backlog, raw material inventory, and purchased raw material quantity are sensitive to the changes in all the analyzed parameters.
The impact of cleaner production strategy on Sustainable supply chain performance
Authors: Al-Humairi Sadiq Kamel Obaid , Ali Mahmood Fahad Abd , Abbas Ali Abdulhassan 
Published: May 2024

Abstract
There is a paradigm shift occurring in organizations towards sustainable production through cleaner production strategies. This cleaner production concept has been proven to be cost-effective, result-oriented, environment-savvy and provides the organizations a cutting edge over their counterparts. However, there is a lack of awareness about cleaner production practices in Iraq while the current study analyzed one of the most important factories in Iraq for sugar production to understand the factors required for successful application of cleaner production strategy and the challenges to be expected. In this study, the researchers followed an exploratory research approach. For this study, a questionnaire was designed, validated and distributed randomly among 700 potential respondents working in various departments of the organization under study. Out of the total responses, 482 responses were considered and SEM-PLS analysis was conducted. The cleaner production strategies were applied through nine dimensions and the relationship between the performance of the factory and sustainable supply chain was found to be prominent. With a few limitations such as the choice of a single factory, weak relationship between the variables identified from hypothesis testing, the study is a first-of-its-kind in this domain, especially in dealing with sugar refineries. Based on the outcomes, policy recommendations were made to the decision makers and the government. It can be concluded that the application of modern technologies and effective resource management can help in achieving the goal of the study.
Innovative acoustic emission method for monitoring the quality and integrity of ferritic steel gas pipelines
Authors: Świt Grzegorz , Ulewicz Małgorzata , Pała Robert , Adamczak-Bugno Anna , Lipiec Sebastian , Krampikowska Aleksandra , Dzioba Ihor 
Published: May 2024

Abstract
This article presents a comprehensive improvement in the experimental analysis of cracking processes in smooth and sharp V-notched samples taken from gas transport pipelines, utilizing the acoustic emission (AE) method. The research aimed to establish a robust correlation between the failure mechanisms of uni-axially tensile samples and the distinct characteristics of AE signals for enhanced quality management in pipeline integrity. The study encompassed materials from two different straight pipe sections, encompassing both long-term used materials and new, unused materials. Through the application of the k-means grouping method to AE signal analysis, we achieved the identification of AE signal parameters characteristic of various stages of the material destruction process. This advancement introduces a significant improvement in monitoring and managing the operational safety of pipeline networks, offering a methodology that leverages advanced acoustic emission signal analysis. The outcomes present significant implications for the pipeline industry by proposing methods to enhance safety systems and more effectively manage the integrity and quality of gas infrastructure.
Comorbid Condition Induced by Lichenoid Tuberculosis of the Skin and Lichen Planus. Significance of a Multidisciplinary Approach to Timely Diagnosis and Treatment
Authors: Manvelova K.A. 
Published: May 2024

In Ukraine, all cases tuberculosis (TB) of the skin are classified as «extrapulmonary TB», which complicates the accurate determination of disease prevalence. Clinical cases of skin TB require a multi­disciplinary approach for diagnosis, particularly for differential diagnosis from chronic dermatoses with similar morphological skin lesions and for treatment.
Objective — to conduct a differential diagnosis and determine the presence of comorbid pathology in a patient exhibiting clinical manifestations typical of both lichenoid tuberculosis of the skin and lichen planus. This involves utilising a suite of modern diagnostic procedures, including pathohistological analysis and Doppler laser flowmetry.
Materials and methods. We observed a patient, B., born in 2005, who presented with skin lesions characteristic of both lichenoid TB of the skin and lichen planus. According to the patient's history, the duration of the disease was 4 years. Using laser Doppler flowmetry with a Vingmed SD-100 flowmeter (Medata, Sweden), we measured microcirculation and its standard deviation, coefficient of variation and maximum amplitude of slow, fast and pulse oscillations in the affected areas and visually unchanged skin (3—4 cm from the rash elements). Pathohistological examinations were also conducted in the areas of efflorescence.
Results and discussion. Considering the clinical examination data, results of comprehensive laboratory and pathohistological research, and indicators of laser Doppler flowmetry in the areas of skin lesions, a comorbid condition caused by lichenoid TB of the skin and lichen planus was diagnosed. The patient was referred to a phthisiologist at his place of residence for comprehensive specific treatment with antitubercu­lar drugs. The patient was also recommended to undergo dermatological monitoring to assess the effectiveness of the pathogenetic therapy prescribed for lichen planus.
Conclusions. The variety of clinical forms of skin TB and a number of chronic dermatoses, particularly lichen planus, as well as the similarity in the clinical picture of morphological elements of the skin rash in these diseases, necessitate a multidisciplinary approach and the execution of a complex of clinical, specialised laboratory, pathohistological and modern diagnostic instrumental studies. These enable timely differential diagnosis of skin lesions, including comorbid conditions, and the prescription of rational comprehensive therapy. The use of laser Doppler flowmetry to determine the state of dermal blood circulation in the affected skin areas is an important additional diagnostic test in the differential diagnosis of some chronic dermatoses or in determining a comorbid state.