bluuebunny/crossref_metadata_2025 huggingface dataset:
Polielektrolitlerin Molekül Ağırlığı ve Harman Oranının Çok Tabakalı Filmlerin Gelişimine Etkisinin ve İlaç Adsorpsiyon/Desorpsiyon Uygulamalarında Kullanımlarının QCM-D Tekniğiyle Takibi
Authors: Yılmaz Aykut Dilara , Yolaçan Öznur , Deligöz Hüseyin
Published: March 2024

Bu çalışmada, harman zayıf ve kuvvetli polielektrolit çiftlerinin kullanımı ile tabakalı kaplama, layer-by-layer (LbL), yöntemi ile çok tabakalı fonksiyonel ince filmlerin kontrol edilebilir kalınlıkta, kompozisyonda, morfolojide hazırlanması ve ilaç salımında kullanımları araştırılmıştır. Kuartz Kristal Mikrobalans-Dissipasyon (QCM-D) tekniği ile kendi kendine bir araya gelen saf/harman yapılı LbL ince filmlerin gelişimlerinin nanogram seviyesinde takibi, ilaç yükleme/salım karakterizasyonu, model ilaç ile LbL film yüzeyi arası etkileşimler ve filmlerin ilaçla etkileşimde viskoelastik değişimleri başarıyla incelenmiştir. Ayrıca, hazırlanan çok tabakalı harman fonksiyonel ince filmlerin gelişiminin takibi için UV ve QCM-D analizi gerçekleştirilerek harman film yapısındaki polielektrolit oranları tespit edilmiştir. Ek olarak, LbL saf/harman yapılı ince filmlerin kontrol edilebilir yüzey ve topografik özelliklerinin kullanılan biyobozunur ve sentetik polielektrolit çiftlerine, harman oranına ve LbL kaplama koşullarına bağlı olarak değişimlerinin incelenmesi amacıyla taramalı elektron mikroskopu (SEM) analizleri ve yüzey temas açısı çalışmaları gerçekleştirilmiştir. Hazırlanan LbL saf/harman yapılı fonksiyonel filmlerde ibuprofen sodyum ilacı için yükleme ve salım çalışmaları QCM-D tekniği ve UV-Vis analizleriyle nötral (pH:6,8), asidik (pH:2) ve bazik (pH:11) fosfat tampon çözeltisinde (PBS) gerçekleştirilmiştir. Çalışmada, ilaç salım sistemleri için yenilikçi, ekonomik ve pratik bir yaklaşımın sunulmasının yanı sıra; LbL kaplama koşullarına bağlı olarak (i) morfolojisi ve kompozisyonu kontrol edilebilen, (ii) ilaç yükleme ve salım özellikleri ayarlanabilen ve geniş bir pH (pH:2-11) aralığında ilaç salımı yapabilen sistemler geliştirilmiştir. Elde edilen sonuçlar, ilaç uygulamaları için LbL fonksiyonel filmlerin yapısına, yüzey özelliklerine, ortamın pH’ına ve ilaç-film arası etkileşimine bağlı olarak farklılıklar taşıması gerektiğini göstermiştir. LbL tekniğiyle fonksiyonel filmlerin kontrol edilebilen özelliklerde hazırlanması ve ilaç salım uygulamalarında kullanılması oldukça ümit verici sonuçlar vermiştir.
ASSESSMENT OF QUALITY OF LIFE OF CHRONIC KIDNEY DISEASE PATIENT ATTENDING IN SELECTED HOSPITALS, WEST BENGAL
Authors: Chakraborty Sima , Kundu Mousumi , Mukherjee Chandrani
Published: March 2024

Introduction: Chronic Kidney disease (CKD) is still a health problem in India & increasing number of new cases. profound physiological, psychological, social effect due to CKD hurt the quality of life.Aim: This study aims to find out quality of life of CKD patient and association between quality of life with demographic variables.Method: The investigator conducted a descriptive study on assessment of quality of life (QOL)among chronic kidney disease patients attending selected Nephrology and Medicine OPD of West Bengal with the objective to assess quality of life and to find out the association between quality of life and selected demographic variables. The conceptual framework adopted for the study was based on Sr. Callista Roy’s adaptation model (1989). Non-probability convenience sampling technique was adopted to select 173 respondents. The tools used for the study were semi-structured interview schedule and WHOQOL-BREF.Result: The study findings revealed that the majority of the respondents (69.37%) had an average quality of life. The result also showed that respondents had maximum quality of life in social domain and minimum quality of life in psychological domain. A significant association found between quality-of-life score and addiction as chi- square value was 4.782=3.841] at 0.05 level of significance. The study has several implications in Nursing education, practice, administration, and research. The study concluded with recommendations for future intervention and improve policy implementation regarding CKD clinics for improving the quality of life among this population.
Multiple Contracts with Simple Interest: The Case of SACRE-F
Authors: Lachtermacher Gerson , Faro Clovis de
Published: March 2024

In a previous paper de Faro and Lachtermacher (2023), considering a particular version of the so-called System of Increasing Amortization in Real Terms, SACRE-F, in the case of compound interest, was shown that if a single contract is substituted by multiple contracts, one for each payment of the single contract, the financing institution may derive substantial fiscal gains. In terms of the present value of the corresponding income taxes.

Notwithstanding, the Brazilian Jurisprudence, cf. Jusbrasil (2023), has repeatedly determined that the use of compound interest implies the occurrence of anatocism. The payment of interest on interest. Mari & Aretusi (2019) reported the same kind of determination by the Italian justice.

Therefore, the analysis should also consider the hypothesis of the use of simple interest. SACRE-F, in the case of simple interest has shown that if a single contract is substituted by multiple contracts, one for each payment of the single contract, the financing institution may derive substantial fiscal gains, as in the compound interest case.
Satisfactions regarding the hybrid working model of the supporting staff of the electricity generating authority of Thailand in the southern region
Authors: Nattachai Meesith  , Somnuk Aujirapongpan
Published: March 2024

This study aims to · Examine the satisfaction associated with hybrid work models, · Investigate perceptions of hybrid work models, and · Explore the relationship between demographic factors, perception factors, and satisfaction with hybrid work models. This research is quantitative in nature, utilizing questionnaires for data collection. The sample group consists of 190 supporting staff from the Electricity Generating Authority of Thailand in the Southern region. Statistical analyses employed include percentage values, arithmetic mean, standard deviation, and Pearson correlation analysis. The findings reveal that · In terms of satisfaction with the hybrid work model, most employees are primarily satisfied with their well-being and the amount of time spent working, followed by job achievement, work-life balance, and cost savings, respectively. · Regarding perceptions, most employees perceive the greatest benefits, followed by ease of use, supportive resources and technology, and commuting between home and work. · Different demographic factors do not impact satisfaction with the hybrid work model, and overall, perception factors are significantly statistically correlated with satisfaction with the hybrid work model at the 0.05 level.
Potential health and environmental benefits of the identified phytochemicals screening of (Azadirachta indica) neem leaves in Bauchi Metropolis, Bauchi State, Nigeria
Authors: Olayiwola Bolaji  , Yisa Adeniyi Abolade  , Sarah Aduwa  , Amarachukwu Bernaldine Isiaka  , Olamide Durodola  , Abidemi Adeoye  , Tola Ojemai Adeoye  , Adeyemi Adeesan Bamidele  , Bertha Onyenachi Akagbue  , Mu’awiya Baba Aminu  , Tasha Siame
Published: March 2024

The phytochemical screening of (Azadirachta indica) Neem leaf extract was conducted to identify and quantify the presence of bioactive compounds. The study conducted various tests to assess the phytochemical components. About 1kg of matured fresh leaves of (Azadirachta indica) neem was collected from five (5) different location in Bauchi metropolis, these locations are; Kobi Street, Gida Dubu, Yelwan Tudu, Wuntin dada and Federal Low-cost areas in Bauchi metropolis, Bauchi State, Nigeria. The leaves of the plant, which were ground into a fine powder using a mortar and pestle. An ethylacetate solvent was used to derive the A. indica leaf extract. The results of the research shows that the presence of alkaloids, saponins, phenols, and cardiac glycosides in the neem leaf extract is significant, and flavonoids, terpenoids, and steroids were not detected in the neem leaf extract. The presence of alkaloids, saponins, phenols, and cardiac glycosides suggests that neem leaves may hold promise in traditional and contemporary medicinal practices. Alkaloids, known for their pharmacological significance, may contribute to the plant's therapeutic properties. Saponins, with their frothing and foaming characteristics, have been associated with immunomodulatory effects and their potential in agrochemical applications. Phenolic compounds, as evidenced by the positive response to the Ferric chloride test, indicate the antioxidant potential of neem leaves, which can combat oxidative stress. Conversely, the absence of flavonoids, terpenoids, and steroids suggests that these specific phytochemical classes may be limited in neem leaves. These findings open avenues for further research and utilization of neem as a valuable natural resource.
Review on method development and validation for different pharmaceutical dosage form
Authors: Vaishnawi R. Bhagwat  , Chetan M. Jain  , Nitin I. Kochar  , Krutika S. Sonar
Published: March 2024

Pharmaceutical analysis is crucial for bulk and formulation quality control. Due to global medication manufacturing and pharmaceutical sector expansion, innovative analytical methods are in demand. Developing analytical procedures is now the most significant part of analysis. Improvements in analytical instruments have led to new analytical methods. The improvement of analytical methodologies and technologies has reduced analysis time, increased precision and accuracy, and decreased analysis costs. As a consequence, the majority of pharmaceutical businesses are investing heavily in specialist analysis labs. Analytical techniques for active pharmaceutical ingredients (API), excipients, drug products, degradation products and related substances, residual solvents, and other chemicals are created and verified. As a consequence, it has become an essential component of the regulating organization's standards. Development of analytical methodologies leads to official test methods. Quality control labs utilize these methods to verify drug identity, purity, safety, effectiveness, and performance. Production analytical methods are becoming relevant to regulators. Regulatory agencies expect applicants to demonstrate control of the drug development process using established analytical methodologies.
Examining the Integration of a GPS-based Staff Performance Monitoring and Assessment System within Academic Settings
Authors: Mary Nkechinyere Nwakamma  , Michael Chukwudi Ndinechi  , Cosmas Kemdirim Agubor  , Longinus. S. Ezema  , Gerald Iheachoro Nwakamma  , Reginald Uche Ossai
Published: March 2024

Research evidence of manipulations of appraisal systems of various institutions in Nigeria abound, and little is known about the application of a Geographical positioning system (GPS) enabled system in this context. To cover this gap, this study investigates the integration of a real-time staff performance monitoring and assessment system with GPS technology, within academic settings. With the increasing emphasis on quality education and efficient resource utilization, academic institutions are exploring innovative approaches to monitor staff performance and student outcomes. The integration of real-time performance systems offers a promising avenue to achieve these goals by providing timely feedback, fostering accountability, and facilitating data-driven decision-making processes. This study outlines the key components of such a system, including its technological infrastructure, data collection methods, and performance evaluation metrics. Additionally, it explores the potential benefits and challenges associated with its adoption, considering factors such as staff engagement, privacy concerns, and institutional culture. Through a comprehensive examination of existing literature and case studies, this research aims to provide valuable insights and recommendations for academic institutions seeking to leverage real-time staff performance monitoring for institutional enhancement and educational excellence. While this study highlights the significance of stakeholder collaboration and continuous improvement mechanisms in ensuring the successful integration and sustained effectiveness of the monitoring system, it introduces a nuanced novel GPS technology and highlights some design implications which will guide future human-computer interaction researchers.
Development and implementation of real-time staff performance monitoring and evaluation system based on Global Positioning System (GPS)
Authors: Mary Nkechinyere Nwakamma  , Michael Chukwudi Ndinechi  , Cosmas Kemdirim Agubor  , Longinus. S. Ezema  , Gerald Iheachoro Nwakamma  , Reginald Uche Ossai
Published: March 2024

This work presents the development and implementation of a Real-Time Staff Performance Monitoring and Evaluation System (RT-SPMES) using Global Positioning System (GPS) technology. In line with the dynamism of the workplace, due to rapid changes in technology, existing staff performance appraisal systems have fallen short of expectations due to their manual nature. Hence, the need arises for a more robust approach to monitoring and evaluating employee work performance. To achieve this, this work carried out an exhaustive review of existing performance evaluation methods within the academic and a conceptual architecture was developed. A real-time monitoring and evaluation system was developed, using PHP programming language, Hyper Text Markup Language and Cascading Styles Sheet. The system is hosted on Azure Cloud infrastructure. Through sufficient testing of the developed system developed in this work, it was asserted effectively monitors employee performance in real-time, paving the way for an objective appraisal process devoid of bias and manipulation.
Bathymetry study of the Rio Grande submarine mineral province using data from the Topex 19.1 Model
Authors: Rayssa Barcellos Paiva  , Vitor Mena PirolaLudmila Ravane Santos da Silva  , Hans Schmidt Santos  , Rodrigo Fernão Gandra Gomes Santos
Published: March 2024

Bathymetric studies enable the identification of seabed depths and elevations. This is achieved through maps created using satellite data and software that use depth information within a defined geographic region. Bathymetry provides valuable insights into regions that are difficult to access using existing technologies, without requiring significant investment. Bathymetric studies can contribute to the economic assessment and operationalization of mineral exploration in the region. It is important to consider the right to obtain advantages considering the belonging of geological origin associated with the American Continent. Additionally, possible environmental impacts that may occur as a consequence of mineral extraction in the region.
Empowering rural Maharashtra: A holistic approach to rabies control and one health perspectiv
Authors: Mamatkulova Nazgul  , Abhishek Rajput  , Himanshu Patil  , Mangesh Jaybhaye
Published: March 2024

Rabies, a grave threat in rural areas with limited healthcare access, poses significant global concern due to its near 100% fatality rate in humans and animals. The shift to intradermal vaccines highlights cost-eﬀectiveness. Maharashtra, India’s one of largest states, faces unique challenges in rabies prevention and management, despite eﬀorts, owing to poor awareness and limited healthcare access. In India, Maharashtra stands out due to challenges in rabies prevention and management despite ongoing eﬀorts. This study proposes transformative strategies grounded in community engagement, education and vaccination campaigns to reduce rabies incidence. Emphasizing community empowerment, it advocates for integrating traditional knowledge with modern interventions. Globally, 330,000 people face rabies risk annually, with India accounting for 36% of cases. Limited vaccine access perpetuates transmission risks, necessitating collaborative eﬀorts to enhance awareness and intervention, particularly in rural Maharashtra. The study emphasizes removing stray dogs and implementing widespread vaccination as key prevention strategies. The success of Goa’s One Health program exemplifies human rabies elimination feasibility and cost-eﬀectiveness, aiming to eradicate canine-mediated human rabies deaths by 2030. Targeted interventions can eﬀectively reduce rabies incidence, safeguarding both human and animal populations. By targeting these key areas, communities can eﬀectively reduce the incidence of rabies and protect both human and animal population.
WEIBULL-POISSON DISTRIBUTION AND THEIR APPLICATION TO SYSTEMATIC PARALLEL RISK
Authors: Widyaningsih Yekti , Ivana Rugun
Published: March 2024

The Weibull-Poisson distribution represents a continuous distribution type applicable to various forms of hazard, including monotone up, monotone down, and upside-down bathtub shapes that ascend. The distribution characterizes lifetimes and can effectively model failures within a series of systems, which evolves from the Exponential-Poisson distribution. This distribution emerges through the compounding of the Weibull Distribution and Zero Truncated Poisson Distribution. The compounding itself integrates several mathematical properties, such as statistical order and Taylor’s number expansion, to reach its final form. Alongside the formulation of the Weibull-Poisson distribution, this paper includes the probability density function, distribution function, rth moment, rth central moment, mean, and variance. For illustration, the Weibull-Poisson distribution is applied to guinea pig survival data after being infected with Turblece virus Bacilli.
SIGNIFICANT FACTORS INFLUENCING HYPERBILIRUBINEMIA AT SANTO YUSUF MOTHER AND CHILD HOSPITAL, NORTH JAKARTA USING BINARY LOGISTIC REGRESSION
Authors: Pratiwi Elsa Anna , Nurhayati Nunung , Sihwaningrum Idha
Published: March 2024

Hyperbilirubinemia is a problem that often occurs in newborns. The cause of hyperbilirubinemia is multifactorial including maternal, perinatal or environmental factors that can be risk factors in newborns. Hyperbilirubinemia that occurs in infants is usually due to high bilirubin levels. High bilirubin can be a poison that causes brain damage so hyperbilirubinemia must be treated appropriately so as not to cause chronic complications. This study aims to identify significant factors affecting hyperbilirubinemia in infants at Santo Joseph Mother and Child Hospital, North Jakarta using binary logistic regression. This research was conducted at Santo Joseph Mother and Child Hospital for the first time. Factors that are thought to influence are gestational age, birth weight, childbirth, breastfeeding, and infection status. The results showed that the significant factors affecting hyperbilirubinemia in infants were the process of childbirth, milk feeding and infection status. Based on  the odds ratio  value for each variable, it can be concluded that babies with abnormal birth processes have a risk of hyperbilirubinemia of 2.9628 times greater than babies with normal births. Meanwhile, formula-fed infants have a risk  of hyperbilirubinemia of 4.2854 times less than breastfed babies. Furthermore, infants affected by infection have a risk  of developing hyperbilirubinemia of 5.5752 times greater than infants who do not get infection.
IMPLEMENTATION OF THE BIDIRECTIONAL GATED RECURRENT UNIT ALGORITHM ON CONSUMER PRICE INDEX DATA IN INDONESIA
Authors: Tanjung Andjani Ayu Cahaya , Saputro Dewi Retno Sari , Kurdhi Nughthoh Arfawi
Published: March 2024

The Consumer Price Index (CPI) is the main index in measuring the inflation rate. Changes in the CPI from time to time reflect inflation and deflation, namely the higher the CPI value, the higher the inflation rate. This study aims to apply Birectional Gated Recurrent Unit (BiGRU) model to the CPI data in Indonesia. BiGRU comprises two GRU layers so it captures sequences that are ignored by the GRU. The research data is in the form of CPI data in Indonesia from January 2006 to December 2022 sourced from the website of the Central Bureau of Statistics totaling 204 data. The data is divided into training data and testing data. Training data was taken from January 2006 to July 2019 as many as 163 data. Data testing was taken from August 2019 to December 2022 as many as 41 data. Before the data is processed, a sliding window process is carried out by dividing the data into segments to reduce the error value. The window size value used is 10. In the sliding window process, the number of segments is 194 data segments. Based on the experiment results, it was concluded that the application of BiGRU to the CPI data was carried out in an experiment with 20 BiGRU architectures. BiGRU architecture was obtained which produced the lowest MAPE value, namely an architecture with two BiGRU layers having 256 neurons and 400 units, and one dense layer. In addition, the epochs used are 200 epochs, the ReLU activation function, and Adam optimization. The experimental results of the BiGRU architecture obtained a MAPE value of 0.24% which indicates that the architectural performance is very good.
SCHEDULING ANALYSIS BEDUGUL VILLA CONSTRUCTION PROJECT USING PERT AND CPM METHODS
Authors: Santoso Kiswara Agung , Yusnita Ade Ratna , Pradjaningsih Agustina
Published: March 2024

Scheduling in construction projects is necessary so that the planned time to complete the project can be achieved on time. the methods used in optimizing project scheduling are the Project Evaluation Review Technique (PERT) method and the Critical Path Method (CPM) method. Bedugul  Villa is one of the projects that has been carried out with a work contract for 175 calendar days and the scheduling of which will be optimized in this study. The optimal duration for scheduling with the PERT method is to produce an optimal duration of 170 calendar days. The duration is 5 days faster than the existing schedule prepared by the project construction contractor, which is 175 calendar days. The probability of completion of the project is 87.7%. Calculations using the CPM method are 168 calendar days or 7 days earlier than the existing schedule made by the contractor.
VECTOR AUTOREGRESSIVE WITH OUTLIER DETECTION ON RAINFALL AND WIND SPEED DATA
Authors: Lestari Lisa , Sulistianingsih Evy , Perdana Hendra
Published: March 2024

Vector Autoregressive (VAR) is a multivariate time series model that analyzes more than one variable where each variable in the model is endogenous. VAR is one of the models used in forecasting rainfall and wind speed. In observations of rainfall and wind speed, there are usually a series of events whose values are far from other observations or can be said to be outliers. The purpose of this study is to compare the VAR model on rainfall and wind speed data before and after outlier detection. This study uses secondary data, namely monthly data on rainfall and wind speed from 2019 to 2021. From the analysis results, the smallest AIC value obtained in the VAR model before outlier detection was 4.94, then the smallest AIC value in the VAR model after outlier detection was 0.25. Thus, it can be concluded that the best model is obtained in the VAR model after outlier detection seen from the smallest AIC value of the two VAR models.
A MATHEMATICAL MODEL WITH INVENTORY- AND SELLING PRICE-DEPENDENT DEMANDS CONSIDERING ALL-UNITS DISCOUNT AND CARBON EMISSION
Authors: Pramesti Ni Putu Dittarani , Limansyah Taufik , Lesmono Dharma
Published: March 2024

Customer satisfaction is a crucial aspect that consistently takes center stage in business operations. In light of this, companies must devise appropriate strategies to fulfill customer demands. Consequently, this study delves into examining various factors that facilitate the supply process, including the application of discounts. Moreover, in line with the advancements in eco-green concepts, businesses have begun considering carbon emission factors concerning storage and distribution, which is further supported by the United Nations Framework Convention on Climate Change (UNFCCC). In this context, the paper presents an enhanced version of the economic order quantity model encompassing all-unit discount and carbon emission factors. The developed model entail inventory management approaches where demand relies on inventory levels, inventory levels coupled with selling prices, time-dependent demand, and exponentially declining demand patterns. The primary objective is to aid companies in optimizing their inventory management by determining the optimal quantity of goods while minimizing overall costs. Sensitivity analysis conducted to observe the influence on the reorder point (T), total inventory cost (TC), and total carbon emission (TE) reveals that lower unit purchase prices, driven by high demand, correspond to larger order quantities. Furthermore, it is worth noting that the higher average carbon emission within warehouses result in increased carbon emissions overall.
MODELING THE MANY EARTHQUAKES IN SUMATRA USING POISSON HIDDEN MARKOV MODELS AND EXPECTATION MAXIMIZATION ALGORITHM
Authors: Alwansyah Muhammad Arib , Rachmawati Ramya
Published: March 2024

Sumatra Island is one of the islands that are prone to earthquakes because Sumatra Island is located at the confluence of three plates, namely the large Indo-Australian plate, the Eurasian plate and the Philippine plate. In general, the number of earthquake events follows the Poisson distribution, but there are cases where there is overdispersion in the Poisson distribution. The Poisson Hidden Markov Models (PHMMs) method is used to overcome overdispersion, then applying the Expectation-Maximization Algorithm (EM algorithm) to each model to obtain the estimated parameters. From the models obtained, the best model will be selected based on the smallest Akaike Information Criterion (AIC) value. The data used is secondary data on earthquake events on the island of Sumatra from January 2000 to December 2022 with a depth of ≤ 70 Km and a magnitude of ≥ 4.4 Mw. From the research, the model with m = 3 is the best estimation model with an AIC value of 1503,286. From the best model, estimates are obtained for Poisson Hidden Markov Models with an average occurrence of earthquakes of 5.7633 ≈ 6 events within one month.
NUMERICAL ANALYSIS IN ARTERIAL STENOSIS AFFECTED BY ISCHEMIC HEART DISEASE USING FINITE VOLUME METHOD
Authors: Fatahillah Arif , Pratiwi Alfiani Dyah , Setiawani Susi , Kristiana Arika Indah , Adawiyah Robiatul
Published: March 2024

Atherosclerosis is the narrowing of blood vessels caused by the buildup of cholesterol plaque on the walls of the arteries. Excessive buildup of cholesterol plaque disrupts the circulatory system, thereby affecting the speed and pressure of blood flow. In the long term, atherosclerosis can cause ischemic heart disease. This study aims to analyze the influence of stenosis, initial velocity, and diameter on the velocity and pressure of blood flow in narrowed arteries that cause ischemic heart disease. In this research, a Navier Stoke mathematical equation model was built which was solved using the finite volume method with SIMPLE discretization (Semi Implicit Method for Pressure Linked Equations). Finite volume methods are used to analyze unstructured objects such as blood flow. SIMPLE discretization is implemented simply in two and three dimensions with a system of equations containing fluid motion. Matlab and Fluent are software used for process simulations, Matlab for visualizing graphs of numerical calculation results, and Fluent for visualizing blood flow. Based on the simulation results, it can be concluded that the smaller the diameter, the greater the stenosis, and the greater the initial velocity, the greater the blood flow velocity. On the contrary, the diameter gets smaller, the stenosis gets bigger, and the initial velocity gets bigger so that the pressure on the blood flow gets smaller. Blood flow simulation has the potential to contain ischemic heart disease if the maximum speed produced is greater than the maximum normal blood speed, namely 0.45 m/s.
MATHEMATICS MODEL IN VITALITY ANALYSIS OF THE LIMOLA LANGUAGE
Authors: Aswad A Muhammad Hajarul , Rusdiansyah Rusdiansyah , - Didiharyono , Saputra Yusril Ihsa , Fadli Imam
Published: March 2024

One of the regional languages in Tana Luwu, especially in North Luwu Regency, is the Limola language. Limola language is a regional language used in communication by the people of Sassa Village. This research utilizes the Pinasco and Romanelli (PR) model to analyze the vitality of the Limola language. The language's sustainability is assessed through a questionnaire with vitality indicators based on UNESCO. Meanwhile, birth and death rates are derived from statistical data from North Luwu. This research found that the model used can explain the possibility of using the Limola language by taking into the carrying capacity and average birth and death rates of users of the Limola language. There are three conditions found. The third condition, despite the birth and death rates of Limola language users being higher than those of people using other languages, the usage of the Limola language still decreases. This is because the language used to communicate as a child as an indicator of the carrying capacity of the Limola language, is very small. In addition, five out of the nine vitality indicators formulated by UNESCO are endangered, posing a threat to the survival of the Limola language
EARTHQUAKE FREQUENCY DATA MODELING IN MENTAWAI USING FUZZY TIME SERIES LEE AND FUZZY TIME SERIES TSAUR
Authors: Damayanti Septri , Rizal Jose , Yosmar Siska , Afandi Nur , Acnesya Vivin
Published: March 2024

The Fuzzy Time Series (FTS) was first studied by Song and Chissom based on the theory of fuzzy sets and the concept of linguistic variables and their applications discovered by Zadeh. FTS has several models, namely FTS Lee, FTS Tsaur, and so on. In this study, we will model earthquake frequency data in Mentawai using FTS Lee and FTS Tsaur. The seismicity data used in this study is earthquake frequency data in the Mentawai which are calculated from 1960 to 2022. Additionally, the seismicity data source is taken from the U.S. Geological Survey catalog. Based on MAPE and MSE, the results obtained on the FTS Lee and FTS Tsaur models are MAPE values of 37,511% and 27,051%. And the MSE values obtained were 27,073 and 11,671. Thus, the best model used in modeling data on the frequency of earthquake occurrences in the Mentawai Islands is the Ruey Chyn Tsaur Fuzzy Time Series model.
ANALYSIS OF THE COOPERATIVE LOTKA-VOLTERRA MODEL IN THE CASE OF TWO AUTOMOTIVE INDUSTRIES IN INDONESIA
Authors: Rachmawati Zahra Febrilia , Sutrima Sutrima , Setiyowati Ririn , Kurniawan Vika Yugi
Published: March 2024

The automotive industry sector is one of the main sectors contributing to the national economy. Companies in the automotive industry work together to increase productivity and win the market competition. This research aims to construct the cooperative interaction between two companies into the cooperative Lotka-Volterra model. The cooperative Lotka-Volterra model was analyzed for stability at the equilibrium point and bifurcation analysis was performed. Sales data for the Calya 1.2 G product from PT Toyota Motor Manufacturing Indonesia and sales data for the New Sigra 1.2 R MT product from PT Astra Daihatsu Motor are applied to the model. The results of the study show that there is a model that explains the cooperative interaction of the two companies, namely the cooperative Lotka-Volterra model. Four equilibrium points are obtained with three equilibrium points being unstable and the fourth equilibrium point being stable with conditions. The Hopf bifurcation analysis of the model shows that there are no parameters that cause a change in stability from initially stable to unstable. The data simulation shows that the cooperation of the two companies is mutually beneficial because it increases the number of sales and creates balanced market conditions.
ESTIMATION OF GEOGRAPHICALLY WEIGHTED PANEL REGRESSION MODEL WITH BISQUARE KERNEL WEIGHTING FUNCTION ON PERCENTAGE OF STUNTING TODDLERS IN INDONESIA
Authors: Asnita Asnita , Sifriyani Sifriyani , Fauziyah Meirinda
Published: March 2024

Stunting is a condition of failure to thrive in children under five years old due to chronic malnutrition. Efforts that can be made to reduce the incidence of stunting in Indonesia are to identify factors that are thought to affect the incidence of stunting in Indonesia. The analysis methods used in this study are the global Fixed Effect Model (FEM) and the local Geographically Weighted Panel Regression (GWPR) model. FEM is a global regression model that assumes that each individual's model has a different intercept value. While GWPR is a local regression model from FEM that considers aspects of geographic location, by repeating data at each observation location, different times, and using spatial data. The weighting function used in this study is fixed bisquare and adaptive bisquare. This study aims to obtain a GWPR model on the percentage of stunting toddlers in Indonesia in 2019 until 2022 with independent variables, namely the percentage of children receiving exclusive breastfeeding , the percentage of households that have access to proper sanitation , the average per capita health expenditure of the population for a month , the average length of schooling for women , and the number of poor people . The variables are obtained from Statistics Indonesia (BPS) and Study of Indonesia’s Nutritional Status (SSGI). The results showed that the best weighting function, namely adaptive bisquare with a CV value of 264.80.
FORECASTING THE NUMBER OF AIRPLANE PASSENGERS USING HOLT WINTER'S EXPONENTIAL SMOOTHING METHOD AND EXTREME LEARNING MACHINE METHOD
Authors: Wasono Rochdi , Fitri Yulia , Haris M. Al
Published: March 2024

Airplanes provide comfort and speed for their users, especially for those who have limited time. The number of passengers has continued to increase in the last few months at Ahmad Yani International Airport, so a forecast is needed in making decisions to predict the number of passengers in order to maximize existing performance. The data used is secondary data on the number of airplane passengers at Ahmad Yani International Airport from 2012 to 2022 obtained from PT Angkasa Pura 1 (Persero). The Holt Winters Exponential Smoothing method is used because it aligns with the data pattern that includes trends and seasonality in the research, and it has a low level of accuracy. In this study also used the Extreme Learning Machine (ELM) method, apart from being a relatively new method, it has a fast learning speed and has low accuracy. This study aims to predict the number of airplane passengers at Ahmad Yani International Airport in Semarang using the Holt Winters Exponential Smoothing and ELM methods. The results of the analysis show that the MAPE value in the Holt Winters Exponential Smoothing method is 8,18% and in the ELM method using 12 input neurons and 43 neurons in the hidden layer, a MAPE of 6,04% is obtained. so that the ELM method is the right method for predicting the number of airplane passengers at Ahmad Yani International Airport in Semarang.
SPREADING PATTERN OF INFECTIOUS DISEASES: SUSCEPTIBLE INFECTED RECOVERED MODEL WITH VACCINATION AND DRUG-RESISTANT CASES (APPLICATION ON TB DATA IN INDONESIA)
Authors: Widyaningsih Purnami , Yumaroh Siti Roqhilu , Saputro Dewi Retno Sari
Published: March 2024

Mycobacterium tuberculosis is the causative agent of the infectious illness tuberculosis (TB). Indonesia is the world's third-highest TB burden country. TB transmission is prevented by the BCG vaccination. A directly observed treatment, short-course (DOTS) treatment approach can cure TB illness. Recurrent TB may occur due to either relapse or reinfection with drug-resistant bacteria. The goals of this article are formulating the SVITR model with relapse and drug-resistant cases, applying the model to the TB data in Indonesia, determining the model accuracy, determining the spreading pattern and interpreting the result, and simulating the parameters. Literature study and application methods are used in this research. The SVITR model with relapse and drug-resistant cases is a first-order nonlinear differential equation system. The model is applied to TB in Indonesia based on annual data from Indonesian Health Profile, World Bank, and WHO. The model is solved by the fourth-order Runge-Kutta method. The model is accurate enough to explain the spread of TB in Indonesia with a MAPE value of 15,5%. The spreading pattern of tuberculosis infection is upward from 2010 to 2050. In 2050, there are still 8.115.976 TB cases in Indonesia. Hence in 2050, Indonesia's free of TB target has yet to be achieved. Simulation is conducted by increasing BCG vaccination to 95%, reducing contact with TB patients to 5%, increasing treatment to 95%, and lowering relapses and drug-resistant cases to 0.00005%, so the Indonesia free of TB target in 2050 can be achieved from 2042.
ETHNOMATHEMATICS OF SMALL BORDER ISLANDS: LUTUR BATU ON MOA ISLAND
Authors: Sugiarto Sigit , Rupilele Karolina , MA Ratnah Kurniati , Lekitoo John Nandito , Inuhan Michael , Dahoklory Andy Sunder Keer
Published: March 2024

The people of Moa Island have a cultural heritage in the form of Lutur Batu. Lutur Batu is a construction of large stones arranged side by side to form a circular wall. Lutur Batu is used to close village boundaries and as a garden fence which aims to protect plants from wild animals. This research aims to determine ethnomathematics studies on Lutur Batu on Moa Island. The ethnomathematics study of Lutur Batu on Moa Island in this research is expected to provide a deeper understanding of the local wisdom of the people of Moa Island, as well as contribute to the recognition, maintenance, and preservation of cultural heritage with mathematical value in the region. Furthermore, an understanding of the geometric patterns and construction of Lutur Batu can be adopted in mathematics learning at school to increase students' interest in learning and understanding of mathematical concepts.This qualitative research focuses on an in-depth understanding of ways of thinking and using mathematics in the traditions and practices of making Lutur Batu in Moa Island. The results of the analysis on Lutur Batu and the manufacturing process showed that there are mathematical concepts such as circles, cylinders, comparisons, and statistics. Lutur Batu and the Mathematical concepts contained therein can be used in Mathematics learning at school to enrich learning materials, increase learning motivation and students' understanding of Mathematics concepts. Apart from that, it can increase students' insight and knowledge regarding the cultural heritage of Moa Island
ARIMA MODEL VERIFICATION WITH OUTLIER FACTORS USING CONTROL CHART
Authors: Umairah Tarisa , Imro'ah Nurfitri , Huda Nur'ainul Miftahul
Published: March 2024

Control charts are often used in quality control processes, especially in the industrial sector because of their significant benefits in increasing industrial production. However, control charts can also be used throughout the field of time series modeling to evaluate measures of accuracy represented by a particular time series model. The application of control charts in this research meets the criteria for evaluating accuracy. However, it is not certain that the time series model will have a high level of accuracy. There are various factors that can influence this phenomenon, one of which is the potential for outliers. Therefore, it is very important to perform time series modeling by adding an outlier factor. The residuals of the time series model obtained are used to create a control chart for model verification. The aim of this research is to evaluate the validity of time series models by looking at the influence of outlier characteristics to improve their accuracy. This research studies the accuracy of a time series model built using Gross Domestic Product (GDP) data in Indonesia. There are two different models, namely the ARIMA model without outlier factors and the ARIMA model with outlier factors which are used for research purposes. Both models were performed using the same data set. The results of this study indicate that the ARIMA model with outlier factors has better accuracy than the ARIMA model without outlier factors. This conclusion can be drawn based on the observation that the residual value is within the predetermined control limits, thus indicating that the process is in a state of statistical control.
MODELING FACTORS AFFECTING EDUCATED UNEMPLOYMENT ON JAVA ISLAND USING GEOGRAPHICALLY WEIGHTED POISSON REGRESSION MODEL
Authors: Wicaksono Ditto Satrio , Nuriyah Sinta , Fajritia Rahajeng , Yuniarti Ni Putu Nita , Priatmadani Priatmadani , Amelia Laeli , Berliana Sarni Maniar
Published: March 2024

The eighth goal of the SDGs, which aim to promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all, addresses the problem of unemployment. Indonesia, the fourth-largest country in the world, keeps on dealing with unemployment and its negative consequences. Three provinces on the island of Java have higher unemployment rates for educated people than any other provinces. The purpose of this study is to examine the variables affecting educated unemployment in Java. This study uses cross-sectional data published from BPS-Statistics Indonesia website and the Indonesia Investment Coordinating Board (BKPM) for 119 regencies/cities across six provinces on Java Island in 2021. The predictor variables are Gross Regional Domestic Product (GRDP), investment, labor force participation rate, mean years of schooling, regency/city minimum wage, and inflation. The number of working-age population is used as an exposure measure. Four models were used to analyze the factors affecting educated unemployment on Java Island: Poisson regression model and Geographically Weighted Poisson Regression (GWPR) model, both with and without an exposure. Based on the smallest AIC/AICc, the best model is the GWPR model with an exposure. This model creates 11 groups of locations based on the same predictor variables that significantly affect educated unemployment
Analisis Makna Poster Karya Siswa Kelas X SMA Frater Makassar
Authors: Maria Inviolata Tamur  , Akmal Hamsa  , Salam Salam
Published: March 2024

Penelitian ini merupakan penelitian kualitatif yang bertujuan untuk mendeskripsikan: (a) makna konotasi dan referen (b) makna denotasi dan referen poster karya siswa kelas X SMA Frater Makassar. Penelitian ini dilakukan sejak bulan April hingga Mei 2023. Sumber data penelitian ini adalah poster karya siswa kelas X SMA Frater Makassar.  Pengumpulan data dilakukan dengan teknik dokumentasi dengan berpedoman pada indikator pemilihan poster yang telah ditetapkan. Poster dianalisis melalui lima tahapan, yaitu (1) membaca data, (2) mereduksi data, (3) mengklasifikasikan data, (4) menginterpretasi data, dan (5) melaporkan data.Hasil temuan mengungkapkan terdapat sepuluh poster bermakna konotasi, lima diantaranya memiliki referen atau acuan dan lima posternya lagi tidak memiliki referen atau acuan. Selain itu, terdapat sembilan poster bermakna denotasi, lima diantaranya memiliki referen atau acuan dan empat diantaranya tidak memiliki referen atau acuan.
Students’ Performance in Cultural Text Writing Based on Situational Context and Cohesive Devices: A case study of Discourse Analysis
Authors: Sidabutar Usman , Sahlan Tampubolon
Published: March 2024

This research is described to classify cohesive devices and contextualize the cohesive devices on the English Students Writing at HKBP Nommensen University Medan. There is a role that creates importance and urgency regarding the development of writing skills which can be considered a mode related to problems that often arise in writing. Classification and contextualization are polarities for determining the type of text as student writing. Research that applies qualitative methods is considered scientifically to obtain more valid results. The subjects of this study were 50 students on the sixth semester of English Education with research locations at HKBP Nommensen University, Medan. Specifically, for situational context and cohesive devices, the data were comprised to context A, context B and context C.  Based on the research results, the classification of cohesive devices is found in varying amounts of student writing, but the totality of the use of Lexical Cohesion tends to be more dominant in student writing, especially in context A with 33 percent. Meanwhile, in context B the use of references accounts for 28 percent of student writing. Context becomes the prompt performance in the teaching process including cohesive devices and context formed by teacher-student interactions in the classroom
Support vector machine with a firefly optimization algorithm for classification of apple fruit disease
Authors: Fawwaz Al Maki Wikky , Jafar Makrufi Amien
Published: March 2024

Fruit diseases became one of the serious problems that the farmer faced because it could threaten their economic outcome. The main focus of this study is apples. Apple fruit is very susceptible to disease, in general diseases that usually attack the apple are blotch apple, rot apple, and scab apple. In this study, the author is classifying these three apple diseases and normal apples. Classification is a process that we can do manually by human power, which costs a lot of fortune, takes a long time, and it's also very vulnerable to false identification. This study takes advantage of computer vision technology and machine learning to overcome the classification problem. By using the SVM method and parameter FA optimization algorithm, we can get the highest result only in the first experiment and also with 94% accuracy.
KONSTRUKSI SOSIAL ATAS TRADISI NYADRAN DI DESA GIRIAWAS KECAMATAN CIKAJANG KABUPATEN GARUT
Authors: Wahyu Adam Romansyah Maulana Yusup Al Ghoniyu
Published: March 2024

Penelitian ini bertujuan untuk mendapatkan gambaran deskriptif mengenai tujuan diadakannya Tradisi Nyadran yang dilakukan oleh masyarakat Kampung Giriayu Desa Giriawas Kecamatan Cikajang Kabupaten Garut. Penelitian ini dilakukan dengan metode deskriptif kualitatif menggunakan observasi, wawancara, dokumentasi. Hasil penelitian menunjukan bahwa dalam mengimplementasikan terhadap generasi muda akan Tradisi Nyadran, sebetulnya Nyadran itu tidak harus dilakukan ketika menyambut bulan suci Ramadhan ketika menyambut hari Raya Idul Fitri ataupun setelah melaksanakan Idul Fitri, kapanpun hari apapun sebetulnya sangat diperbolehkan melakukan Nyadran. Tujuan Tradisi Nyadran dapat dilihat dari tiga aspek yaitu: sosial ekonomi, religius dan sosial budaya. Berdasarkan hasil penelitian tersebut dapat disimpulkan bahwa pelaksanaan Tradisi Nyadran dari segi sosial ekonomi pelaksanaan Tradisi Nyadran tidak memandang status ekonomi dan golongan serta menjalin silaturahmi antar warga, dari segi religius Tradisi Nyadran merupakan bentuk rasa syukur kepada Allah, mengingatkan akan kematian dan mendo’akan arwah leluhur atau keluarga, pelaksanaan Tradisi Nyadran dari segi sosial budaya merupakan bentuk pelestarian budaya yaitu Tradisi Nyadran.
ТЕОРИЯ НЕРАВНОВЕСНЫХ СОСТОЯНИЙ
Authors:   Российский химико-технологический университет им. Д.И. Менделеева, ШЛЁНСКИЙ О. Ф. , АНТОНОВ С. И. ,   Российский химико-технологический университет им. Д.И. Менделеева, МАКЛАШОВА И. В. ,   Национальный исследовательский ядерный университет МИФИ, ГУБИНА Т. В. ,   Национальный исследовательский ядерный университет МИФИ
Published: March 2024

Заложены основы теории неравновесных состояний газа и жидкости, возникающих при быстром нагружении, и ее приложения в газодинамике. Для научных работников и инженеров, специализирующихся в акустике и аэродинамике.