Introduction: We aimed to evaluate Agouti-Related Peptide (AgRP) and asprosin levels in adults with Attention Deficit Hyperactivity Disorder (ADHD), and to examine the relationship between eating behavior, metabolic parameters, AgRP and asprosin.
Methods: Forty-five adult ADHD patients and 45 controls were included in the study. The Adult Diagnostic Interview Scale for ADHD (DIVA 2.0) and Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders-5 Clinician Version (SCID-5/CV) were administered to the participants. The Adult Attention Deficit Hyperactivity Disorder Self-Report Scale (ASRS) and the Dutch Eating Behavior Questionnaire (DEBQ) were completed by the participants. Biochemical parameters, AgRP and asprosin levels of the participants were measured.
Results: Adults with ADHD had significantly higher HbA1c, body mass index (BMI), and waist circumference. Eating behaviors and lipid profile were impaired in the patients. A significant positive correlation was found between the patients' ASRS/hyperactivity-impulsivity scores and DEBQ/emotional eating and DEBQ/external eating. A significant positive correlation was found between ASRS/total score and DEBQ/emotional eating, DEBQ/external eating, and DEBQ/total eating scores. AgRP and asprosin levels were significantly lower in the patients. The effect sizes of AgRP and asprosin were 0.526 and 0.839, respectively. A negative correlation was found between AgRP and asprosin levels of the patients and BMI. It was seen that AgRP and asprosin were confounding factors for each other, and the significance between the groups was due to asprosin. Asprosin defined ADHD at a higher rate than AgRP.
Conclusion: The study emphasizes the link between eating behavior and the hedonic system in ADHD. It also showed that AgRP and asprosin levels are low in adult ADHD. Low AgRP and asprosin levels may be an indication of impaired energy homeostasis and/or a structural cause for ADHD.
{"title":"The Potential Impact of Agouti Related Peptide and Asprosin on Metabolic Parameters and Eating Behavior in Attention Deficit Hyperactivity Disorder.","authors":"Nilifer Gürbüzer, Sertaç Zengil, Esra Laloğlu, Kamber Kaşali","doi":"10.29399/npa.28458","DOIUrl":"10.29399/npa.28458","url":null,"abstract":"<p><strong>Introduction: </strong>We aimed to evaluate Agouti-Related Peptide (AgRP) and asprosin levels in adults with Attention Deficit Hyperactivity Disorder (ADHD), and to examine the relationship between eating behavior, metabolic parameters, AgRP and asprosin.</p><p><strong>Methods: </strong>Forty-five adult ADHD patients and 45 controls were included in the study. The Adult Diagnostic Interview Scale for ADHD (DIVA 2.0) and Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders-5 Clinician Version (SCID-5/CV) were administered to the participants. The Adult Attention Deficit Hyperactivity Disorder Self-Report Scale (ASRS) and the Dutch Eating Behavior Questionnaire (DEBQ) were completed by the participants. Biochemical parameters, AgRP and asprosin levels of the participants were measured.</p><p><strong>Results: </strong>Adults with ADHD had significantly higher HbA1c, body mass index (BMI), and waist circumference. Eating behaviors and lipid profile were impaired in the patients. A significant positive correlation was found between the patients' ASRS/hyperactivity-impulsivity scores and DEBQ/emotional eating and DEBQ/external eating. A significant positive correlation was found between ASRS/total score and DEBQ/emotional eating, DEBQ/external eating, and DEBQ/total eating scores. AgRP and asprosin levels were significantly lower in the patients. The effect sizes of AgRP and asprosin were 0.526 and 0.839, respectively. A negative correlation was found between AgRP and asprosin levels of the patients and BMI. It was seen that AgRP and asprosin were confounding factors for each other, and the significance between the groups was due to asprosin. Asprosin defined ADHD at a higher rate than AgRP.</p><p><strong>Conclusion: </strong>The study emphasizes the link between eating behavior and the hedonic system in ADHD. It also showed that AgRP and asprosin levels are low in adult ADHD. Low AgRP and asprosin levels may be an indication of impaired energy homeostasis and/or a structural cause for ADHD.</p>","PeriodicalId":11600,"journal":{"name":"E-Jurnal Matematika","volume":"6 1","pages":"30-38"},"PeriodicalIF":1.1,"publicationDate":"2024-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10943941/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90808449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-31DOI: 10.24843/mtk.2024.v13.i01.p438
Nadiya Yuvita Rizki, Gusti Ayu Made Srinadi, I. Komang, Gde Sukarsa
Nonparametric regression is a flexible approach used to determine the relationship between the predictor variable and the response variable is unknown. One method that can be used to estimate nonparametric regression models is the truncated spline. The truncated spline is an effective method to estimate nonparametric regression models due to its ability to adapt to the data's characteristics through knots. Truncated spline estimates its parameters with the maximum likelihood estimator (MLE) method and finds the optimal knot points with the minimum generalized cross validation (GCV) value. This study used the truncated spline to model diarrhea cases in Bali Province, examining five variables that could affect incidence. The optimal knot points were 2-1-3-3-2 with a minimum GCV value of 67572,38. The study found that the number of clean drinking water facilities, food management places that meet health requirements, public places that meet health requirements, population density, and access to proper sanitation facilities had a significant effect on diarrhea incidence. The coefficient of determination for this model is 98,87%.
{"title":"PEMODELAN REGRESI NONPARAMETRIK SPLINE TRUNCATED KASUS KEJADIAN DIARE DI PROVINSI BALI","authors":"Nadiya Yuvita Rizki, Gusti Ayu Made Srinadi, I. Komang, Gde Sukarsa","doi":"10.24843/mtk.2024.v13.i01.p438","DOIUrl":"https://doi.org/10.24843/mtk.2024.v13.i01.p438","url":null,"abstract":"Nonparametric regression is a flexible approach used to determine the relationship between the predictor variable and the response variable is unknown. One method that can be used to estimate nonparametric regression models is the truncated spline. The truncated spline is an effective method to estimate nonparametric regression models due to its ability to adapt to the data's characteristics through knots. Truncated spline estimates its parameters with the maximum likelihood estimator (MLE) method and finds the optimal knot points with the minimum generalized cross validation (GCV) value. This study used the truncated spline to model diarrhea cases in Bali Province, examining five variables that could affect incidence. The optimal knot points were 2-1-3-3-2 with a minimum GCV value of 67572,38. The study found that the number of clean drinking water facilities, food management places that meet health requirements, public places that meet health requirements, population density, and access to proper sanitation facilities had a significant effect on diarrhea incidence. The coefficient of determination for this model is 98,87%.","PeriodicalId":11600,"journal":{"name":"E-Jurnal Matematika","volume":"8 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140478687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-31DOI: 10.24843/mtk.2024.v13.i01.p445
Made Nonik, Pramesti Karana, Wayan Sumarjaya, Kartika Sari
Exchange rates play a crucial role among macroeconomic variables, exerting a significant influence on a country's economic landscape. Fluctuations in these rates can impact a nation's stability and economic activities. Consequently, it becomes essential to engage in forecasting endeavors, particularly in predicting the exchange rate of the rupiah against foreign currencies, with a focus on the US dollar. Certain instances in financial data reveal an asymmetric volatility response, often referred to as the leverage effect. To address this challenge, asymmetric GARCH models, including EGARCH, TGARCH, and APARCH, prove instrumental. This research endeavors to identify the most effective model among EGARCH, TGARCH, and APARCH using data pertaining to the rupiah's exchange rate against the US Dollar from March 2, 2020, to June 2, 2022. The findings indicate that the APARCH (1,2) model stands out as the optimal choice for predicting volatility, boasting the smallest AIC value in comparison to its counterparts. As per the research outcomes, volatility witnessed a decline from the initial day to the fourteenth day.
{"title":"PERAMALAN VOLATILITAS RETURN NILAI TUKAR RUPIAH TERHADAP US DOLLAR MENGGUNAKAN METODE EGARCH, TGARCH, DAN APARCH","authors":"Made Nonik, Pramesti Karana, Wayan Sumarjaya, Kartika Sari","doi":"10.24843/mtk.2024.v13.i01.p445","DOIUrl":"https://doi.org/10.24843/mtk.2024.v13.i01.p445","url":null,"abstract":"Exchange rates play a crucial role among macroeconomic variables, exerting a significant influence on a country's economic landscape. Fluctuations in these rates can impact a nation's stability and economic activities. Consequently, it becomes essential to engage in forecasting endeavors, particularly in predicting the exchange rate of the rupiah against foreign currencies, with a focus on the US dollar. Certain instances in financial data reveal an asymmetric volatility response, often referred to as the leverage effect. To address this challenge, asymmetric GARCH models, including EGARCH, TGARCH, and APARCH, prove instrumental. This research endeavors to identify the most effective model among EGARCH, TGARCH, and APARCH using data pertaining to the rupiah's exchange rate against the US Dollar from March 2, 2020, to June 2, 2022. The findings indicate that the APARCH (1,2) model stands out as the optimal choice for predicting volatility, boasting the smallest AIC value in comparison to its counterparts. As per the research outcomes, volatility witnessed a decline from the initial day to the fourteenth day.","PeriodicalId":11600,"journal":{"name":"E-Jurnal Matematika","volume":"1 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140478718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-31DOI: 10.24843/mtk.2024.v13.i01.p442
Natalie Novenrodumetasa, G. K. Gandhiadi, Ketut Jayanegara, Kabupaten Purbalingga, Kabupaten Banjarnegara, Kabupaten Kebumen, Kabupaten Purworejo, Kabupaten Wonosobo, Kabupaten Magelang, Kabupaten Sukoharjo, Kabupaten Demak, K. Semarang, Kabupaten Pekalongan, Kota Magelang, Kabupaten Boyolali, Kabupaten Klaten, Kabupaten Wonogiri, Kabupaten Karanganyar, Kabupaten Sragen, Kabupaten Grobogan, Kabupaten Blora, Kabupaten Rembang, Kabupaten Pati, Kabupaten Kudus, Kabupaten Jepara, Kabupaten Temanggung, Kabupaten Kendal, Kabupaten Batang, Kabupaten Pemalang, Kabupaten Tegal
There are many factors affecting human life, one of which is climate. Differences in climatic conditions in each region result in differences in the environment in society. The differences are referred to as potential natural resources, livelihoods, and social cultural conditions. The climate has an impact on culture in terms of how people dress, the shape of houses, and so on. The regency group in Central Java Province is based on similarities in climate characteristics using fuzzy clustering. The data used were taken from Central Java Provincial Statistical Office in 2022.The results of district grouping in Central Java Province are based on similarities in climate characteristics using fuzzy clustering with 4 different number of clusters and the validity tests of the Partition Coefficient and Classification Entropy indices. Based on the results of the index validity test, the optimal grouping results are 2 clusters with a Partition Coefficient value of 0.911233 and a Classification Entropy value of 0.07979. The 1st cluster consists of 13 districts with a cluster center at 27.9°C for air temperature, 2418mm for rainfall, and 804% for keelThe 2nd cluster and airbase consist of 22 cluster central districts at 26.6 °C for air temperature, 4087 mm for rainfall, and 81.3% for humidity.
{"title":"PENGELOMPOKKAN KABUPATEN DI PROVINSI JAWA TENGAH BERDASARKAN KARAKTERISTIK IKLIM MENGGUNAKAN FUZZY CLUSTERING","authors":"Natalie Novenrodumetasa, G. K. Gandhiadi, Ketut Jayanegara, Kabupaten Purbalingga, Kabupaten Banjarnegara, Kabupaten Kebumen, Kabupaten Purworejo, Kabupaten Wonosobo, Kabupaten Magelang, Kabupaten Sukoharjo, Kabupaten Demak, K. Semarang, Kabupaten Pekalongan, Kota Magelang, Kabupaten Boyolali, Kabupaten Klaten, Kabupaten Wonogiri, Kabupaten Karanganyar, Kabupaten Sragen, Kabupaten Grobogan, Kabupaten Blora, Kabupaten Rembang, Kabupaten Pati, Kabupaten Kudus, Kabupaten Jepara, Kabupaten Temanggung, Kabupaten Kendal, Kabupaten Batang, Kabupaten Pemalang, Kabupaten Tegal","doi":"10.24843/mtk.2024.v13.i01.p442","DOIUrl":"https://doi.org/10.24843/mtk.2024.v13.i01.p442","url":null,"abstract":"There are many factors affecting human life, one of which is climate. Differences in climatic conditions in each region result in differences in the environment in society. The differences are referred to as potential natural resources, livelihoods, and social cultural conditions. The climate has an impact on culture in terms of how people dress, the shape of houses, and so on. The regency group in Central Java Province is based on similarities in climate characteristics using fuzzy clustering. The data used were taken from Central Java Provincial Statistical Office in 2022.The results of district grouping in Central Java Province are based on similarities in climate characteristics using fuzzy clustering with 4 different number of clusters and the validity tests of the Partition Coefficient and Classification Entropy indices. Based on the results of the index validity test, the optimal grouping results are 2 clusters with a Partition Coefficient value of 0.911233 and a Classification Entropy value of 0.07979. The 1st cluster consists of 13 districts with a cluster center at 27.9°C for air temperature, 2418mm for rainfall, and 804% for keelThe 2nd cluster and airbase consist of 22 cluster central districts at 26.6 °C for air temperature, 4087 mm for rainfall, and 81.3% for humidity.","PeriodicalId":11600,"journal":{"name":"E-Jurnal Matematika","volume":"313 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140471723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-31DOI: 10.24843/mtk.2024.v13.i01.p443
Putu Regina Putri Chandri, Kadek Ayu Alit Suparti, NI Made Wahyu Fresilia, Thio Novryana, Made Ayu Dwi Octavanny
The goal of this research is to assess the shift in laptop brands among currently enrolled students at Udayana University and predict the market share when the system reaches a stable state for each switch made by these students. The study employs the Markov Chain method, a component of Stochastic Processes. This method generates probabilistic information that aids in decision-making. In Markov Chain analysis, the equilibrium condition refers to a state in a specific period where the transition probability matrix stabilizes. Data on laptop brand switches were collected from users who have utilized more than one laptop brand. The study provides in-depth insights into the behavior of laptop users in the academic environment of Udayana University. The results of this research provide deep insights into the behavior of laptop users in the academic environment of Udayana University, laying the groundwork for a better understanding of market trends and user preferences.
{"title":"ANALISIS MARKOV CHAIN DALAM MEMPREDIKSI MARKET SHARE DAN EQUILIBRIUM PENGGUNA LAPTOP MAHASISWA AKTIF UNIVERSITAS UDAYANA","authors":"Putu Regina Putri Chandri, Kadek Ayu Alit Suparti, NI Made Wahyu Fresilia, Thio Novryana, Made Ayu Dwi Octavanny","doi":"10.24843/mtk.2024.v13.i01.p443","DOIUrl":"https://doi.org/10.24843/mtk.2024.v13.i01.p443","url":null,"abstract":"The goal of this research is to assess the shift in laptop brands among currently enrolled students at Udayana University and predict the market share when the system reaches a stable state for each switch made by these students. The study employs the Markov Chain method, a component of Stochastic Processes. This method generates probabilistic information that aids in decision-making. In Markov Chain analysis, the equilibrium condition refers to a state in a specific period where the transition probability matrix stabilizes. Data on laptop brand switches were collected from users who have utilized more than one laptop brand. The study provides in-depth insights into the behavior of laptop users in the academic environment of Udayana University. The results of this research provide deep insights into the behavior of laptop users in the academic environment of Udayana University, laying the groundwork for a better understanding of market trends and user preferences.","PeriodicalId":11600,"journal":{"name":"E-Jurnal Matematika","volume":"527 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140476823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-31DOI: 10.24843/mtk.2024.v13.i01.p440
Novi Rustiana Dewi, Eka Susanti, Des Alwine Zayanti, Indrawati Indrawati, Oki Dwipurwani, Siti Natasya Munawaroh
Inventory control is very important in production and trading activities. The purpose of inventory control is to maintain product availability. In certain cases, the products provided must be ordered from distributors outside the city and require waiting time from the time the order is placed until the product is received. The Multiobjective Probabilistic Fuzzy Inventory model can be applied to inventory optimization problems with the uncertainty of the leadtime parameter. In this study, the model was applied to the problem of supply salak fruit at one of the distributors. The first objective function is to minimize holding costs and the second is to minimize deterioration costs. The inventory model is transformed into a single objective form using a weighted method. Based on the results, the order cycle time is 3 days with the optimal total inventory of 430.1086 kg. The holding cost and deterioration costs are IDR 2,075,866 and IDR 571,034, respectively. Changes in the weight value of the objective function result in changes in the total cost value. The greater the weight for the first objective function, the smaller the total cost.
{"title":"PENERAPAN MODEL INVENTORI PROBABILISTIK FUZZY MULTIOBJEKTIF PADA SISTEM PERSEDIAAN BUAH SALAK","authors":"Novi Rustiana Dewi, Eka Susanti, Des Alwine Zayanti, Indrawati Indrawati, Oki Dwipurwani, Siti Natasya Munawaroh","doi":"10.24843/mtk.2024.v13.i01.p440","DOIUrl":"https://doi.org/10.24843/mtk.2024.v13.i01.p440","url":null,"abstract":"Inventory control is very important in production and trading activities. The purpose of inventory control is to maintain product availability. In certain cases, the products provided must be ordered from distributors outside the city and require waiting time from the time the order is placed until the product is received. The Multiobjective Probabilistic Fuzzy Inventory model can be applied to inventory optimization problems with the uncertainty of the leadtime parameter. In this study, the model was applied to the problem of supply salak fruit at one of the distributors. The first objective function is to minimize holding costs and the second is to minimize deterioration costs. The inventory model is transformed into a single objective form using a weighted method. Based on the results, the order cycle time is 3 days with the optimal total inventory of 430.1086 kg. The holding cost and deterioration costs are IDR 2,075,866 and IDR 571,034, respectively. Changes in the weight value of the objective function result in changes in the total cost value. The greater the weight for the first objective function, the smaller the total cost.","PeriodicalId":11600,"journal":{"name":"E-Jurnal Matematika","volume":"320 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140473389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-31DOI: 10.24843/mtk.2024.v13.i01.p435
Novita Triani Hamma, NI Ketut Tari Tastrawati, Kartika Sari
One of the materials discussed in operations research is linear programming, which also discusses models of transportation. The assignment problem can be viewed as a special case of the transportation model. One method that is often used to solve assignment problems is the Hungarian method. Over time, there have also been more and more alternative methods to streamline processing time in solving assignment problems, one of which is the new alternate method. The purpose of this research is to form an optimal scheduling with minimum processing time. The data used in this study is secondary data obtained from CV Bagus Classic. The data consists of the number of workers, type of work, and the time needed to complete the work by each worker. As a result of this research, it was found that the minimum assignment time was achieved when using the Hungarian method compared to using the new alternate method or before using both methods.
{"title":"OPTIMASI PENUGASAN MELALUI PENERAPAN HUNGARIAN METHOD DAN NEW ALTERNATE METHOD","authors":"Novita Triani Hamma, NI Ketut Tari Tastrawati, Kartika Sari","doi":"10.24843/mtk.2024.v13.i01.p435","DOIUrl":"https://doi.org/10.24843/mtk.2024.v13.i01.p435","url":null,"abstract":"One of the materials discussed in operations research is linear programming, which also discusses models of transportation. The assignment problem can be viewed as a special case of the transportation model. One method that is often used to solve assignment problems is the Hungarian method. Over time, there have also been more and more alternative methods to streamline processing time in solving assignment problems, one of which is the new alternate method. The purpose of this research is to form an optimal scheduling with minimum processing time. The data used in this study is secondary data obtained from CV Bagus Classic. The data consists of the number of workers, type of work, and the time needed to complete the work by each worker. As a result of this research, it was found that the minimum assignment time was achieved when using the Hungarian method compared to using the new alternate method or before using both methods.","PeriodicalId":11600,"journal":{"name":"E-Jurnal Matematika","volume":"77 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140476898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-31DOI: 10.24843/mtk.2024.v13.i01.p437
Alexander Joseph Riadi, I. K. G. Sukarsa, NI Luh Putu Suciptawati, Eka N. Kencana, Made Susilawati, G. K. Gandhiadi
Life satisfaction is one of the most ambigious concept to take a hold on. One’s degree of life satisfaction can differ from other person even though they have a realtively similliar life. This research studies people who play video games regularly (gamers) from the age of eighteen to fifty six. As one of the common trait or stereotipically seen that gamers have difficulty in social aspect of their lifes. Using Structural Equation Modeling (SEM), the research will try to confirm the relationship between anxiety and social phobia toward life satisfaction. The final model shows that anxiety and social phobia shows a significant negative affect towards life satisfaction of gamers.
{"title":"KAUSALITAS ANTARA ANXIETY, SOCIAL PHOBIA TERHADAP PEMAIN VIDEO GAME","authors":"Alexander Joseph Riadi, I. K. G. Sukarsa, NI Luh Putu Suciptawati, Eka N. Kencana, Made Susilawati, G. K. Gandhiadi","doi":"10.24843/mtk.2024.v13.i01.p437","DOIUrl":"https://doi.org/10.24843/mtk.2024.v13.i01.p437","url":null,"abstract":"Life satisfaction is one of the most ambigious concept to take a hold on. One’s degree of life satisfaction can differ from other person even though they have a realtively similliar life. This research studies people who play video games regularly (gamers) from the age of eighteen to fifty six. As one of the common trait or stereotipically seen that gamers have difficulty in social aspect of their lifes. Using Structural Equation Modeling (SEM), the research will try to confirm the relationship between anxiety and social phobia toward life satisfaction. The final model shows that anxiety and social phobia shows a significant negative affect towards life satisfaction of gamers.","PeriodicalId":11600,"journal":{"name":"E-Jurnal Matematika","volume":"230 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140473893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Structural Equation Model (SEM) merupakan salah satu dari teknik analisis dalam ilmu statistika dengan gabungan dua teknik multivariat yaitu analisis faktor konfirmatori, analisis regresi, dan analisis jalur. Pada penelitian ini diterapkan analisis SEM untuk menganalisa faktor yang memengaruhi masyarakat Lombok yang berdampak Covid-19 terhadap dukungan untuk pariwisata. Data yang digunakan adalah data primer yang diperoleh dengan kuesioner kepada masyarakat Lombok pada tahun 2021. Pada studi kasus ini peneliti mengambil dua faktor yang dapat memengaruhi dukungan terhadap pariwisata (ST) yaitu resiko yang dirasakan (PR) dan solidaritas emosional (ES). Tujuan dari penelitian ini untuk mengetahui pengaruh variabel PR dan ES terhadap ST. Berdasarkan hasil analisis diperoleh solidaritas emosional (ES) berpengaruh signifikan pada dukungan terhadap pariwisata. Sementara itu, resiko yang dirasakan (PR) dan solidaritas emosional (ES) bersama-sama secara signifikan mampu menjelaskan pengaruhnya dukungan terhadap pariwisata (ST) sebesar 72,6% sedangkan 27,4% dijelaskan oleh variabel lain diluar model.
结构方程模型（SEM）是统计学中的一种分析技术，结合了两种多元技术，即确证因子分析、回归分析和路径分析。本研究采用 SEM 分析方法来分析影响 Covid-19 的龙目岛居民支持旅游业的因素。所使用的数据是 2021 年通过对龙目岛居民进行问卷调查获得的原始数据。在本案例研究中，研究人员选取了两个可能影响旅游业支持率（ST）的因素，即感知风险（PR）和情感团结（ES）。本研究的目的是确定 PR 和 ES 变量对 ST 的影响。根据分析结果，情感团结（ES）对旅游支持有显著影响。同时，感知风险（PR）和情感团结（ES）共同对旅游支持（ST）的影响有 72.6% 的显著解释作用，而 27.4% 的解释作用由模型外的其他变量产生。
{"title":"ANALISIS PERSEPSI MASYARAKAT LOMBOK YANG BERDAMPAK COVID-19 TERHADAP DUKUNGAN UNTUK PARIWISATA","authors":"MOCH. Anjas Aprihartha, Jus Prasetya, Sefri Imanuel Fallo","doi":"10.24843/mtk.2024.v13.i01.p444","DOIUrl":"https://doi.org/10.24843/mtk.2024.v13.i01.p444","url":null,"abstract":"Structural Equation Model (SEM) merupakan salah satu dari teknik analisis dalam ilmu statistika dengan gabungan dua teknik multivariat yaitu analisis faktor konfirmatori, analisis regresi, dan analisis jalur. Pada penelitian ini diterapkan analisis SEM untuk menganalisa faktor yang memengaruhi masyarakat Lombok yang berdampak Covid-19 terhadap dukungan untuk pariwisata. Data yang digunakan adalah data primer yang diperoleh dengan kuesioner kepada masyarakat Lombok pada tahun 2021. Pada studi kasus ini peneliti mengambil dua faktor yang dapat memengaruhi dukungan terhadap pariwisata (ST) yaitu resiko yang dirasakan (PR) dan solidaritas emosional (ES). Tujuan dari penelitian ini untuk mengetahui pengaruh variabel PR dan ES terhadap ST. Berdasarkan hasil analisis diperoleh solidaritas emosional (ES) berpengaruh signifikan pada dukungan terhadap pariwisata. Sementara itu, resiko yang dirasakan (PR) dan solidaritas emosional (ES) bersama-sama secara signifikan mampu menjelaskan pengaruhnya dukungan terhadap pariwisata (ST) sebesar 72,6% sedangkan 27,4% dijelaskan oleh variabel lain diluar model.","PeriodicalId":11600,"journal":{"name":"E-Jurnal Matematika","volume":"353 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140475089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bank 9 Jambi requires optimization planning to maintain financial balance. The optimization is relate to five objectives that are maximize assets, minimize liabilities, maximize equity, maximize income, and minimize expenses. Therefore, the aim of this research was to analyze the possibility of optimization in financial report in Bank 9 Jambi. Because there are 5 objectives which were considered in this research, so the model applied is goal programming. By the result of goal programming, it was confirmed that Bank 9 Jambi can meet five goals as desired. Besides, in this research, sensitivity analysis was performed to identify whether the result of goal programming will be changed or not, especially the sensitivity analysis of right side of inequality in the constraints of the model. And the result of sensitivity analysis is that the five goals will still be met as long as the limit of total asset for 1.5 years is in the interval of IDR 75,314,347 million to IDR 77,831,122 million, the limit of minimum total liability is IDR 66,719,681 million, the limit of equity target is in the interval IDR 11,111,441 million to Rp.11. 482,751 million, the limit of total income is in the interval IDR 0 to IDR 6,542,843 million and the limit of total expense is at least IDR 1,435,052 million.
{"title":"PENERAPAN GOAL PROGRAMMING PADA PERENCANAAN OPTIMISASI ASET, LIABILITAS, EKUITAS, PENDAPATAN DAN BEBAN (STUDI KASUS: BANK 9 JAMBI)","authors":"Yemima Pipiyanti Br Ginting, Syamsyida Rozi, Niken Rarasati","doi":"10.24843/mtk.2024.v13.i01.p441","DOIUrl":"https://doi.org/10.24843/mtk.2024.v13.i01.p441","url":null,"abstract":"Bank 9 Jambi requires optimization planning to maintain financial balance. The optimization is relate to five objectives that are maximize assets, minimize liabilities, maximize equity, maximize income, and minimize expenses. Therefore, the aim of this research was to analyze the possibility of optimization in financial report in Bank 9 Jambi. Because there are 5 objectives which were considered in this research, so the model applied is goal programming. By the result of goal programming, it was confirmed that Bank 9 Jambi can meet five goals as desired. Besides, in this research, sensitivity analysis was performed to identify whether the result of goal programming will be changed or not, especially the sensitivity analysis of right side of inequality in the constraints of the model. And the result of sensitivity analysis is that the five goals will still be met as long as the limit of total asset for 1.5 years is in the interval of IDR 75,314,347 million to IDR 77,831,122 million, the limit of minimum total liability is IDR 66,719,681 million, the limit of equity target is in the interval IDR 11,111,441 million to Rp.11. 482,751 million, the limit of total income is in the interval IDR 0 to IDR 6,542,843 million and the limit of total expense is at least IDR 1,435,052 million.","PeriodicalId":11600,"journal":{"name":"E-Jurnal Matematika","volume":"778 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140479752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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