Proceeding ISETH (International Summit on Science, Technology, and Humanity)
The International Summit on Science, Technology and Humanity (ISETH) is organised by Universitas Muhammadiyah Surakarta. This summit aims to provide a platform for researchers and academics to share their research findings with others and meet lecturers and researchers from other institutions and to strengthen the collaboration and networking amongst the participants.
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<![CDATA[Sectoral Employment in Indonesia with Spatial and Seemingly Unrelated Regression (SUR) Model Approach ]]>
<![CDATA[Vivin Novita Dewi]]>;
<![CDATA[S Setiawan]]>;
<![CDATA[Santi Puteri Rahayu]]>
<![CDATA[ Proceeding ISETH (International Summit on Science, Technology, and Humanity) 2015: Proceeding ISETH (International Conference on Science, Technology, and Humanity) ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Surakarta ]]>
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<![CDATA[Employment becomes one of the most important focuses of development in Indonesia. Analysis of employment and its factors could be the consideration in making employment policies. Several studies of employment related to a particular economic sector have been carried out. For a comparison, this paper discussed the model of labor absorption with three economic sectors. The source of data was derived from all the provinces in Indonesia for five years. Spatial model was estimated with Maximum Likelihood Estimation (MLE) for each year of observation. Moran’s I and LM test were used to identify the spatial dependency. SUR model was estimated with Ordinary Least Square (OLS) and General Least Square (GLS).The variables used to estimate labor absorption were the output and real wage. The resultindicated that the spatial dependency was significant particularly in the agricultural sector with a spatial error model. Meanwhile, labor absorption was significantly affected by the output and real wage for both OLS estimation and GLS estimation for SUR model. Service sector had the highest R2 value. UR model with GLS estimation was evidenced to be more efficient than OLS estimation, in addition, standard error of parameters using GLS estimation evenly was lower than OLS estimation.]]>
<![CDATA[Hybrid ARIMAX-NN Model for Forecasting Inflation ]]>
<![CDATA[Santi Eksiandayani]]>;
<![CDATA[S Suhartono]]>;
<![CDATA[Dedy Dwi Prastyo]]>
<![CDATA[ Proceeding ISETH (International Summit on Science, Technology, and Humanity) 2015: Proceeding ISETH (International Conference on Science, Technology, and Humanity) ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Surakarta ]]>
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<![CDATA[Inflation became an important component in the economy as an indicator of the increase in prices of goods and services. In addition to general inflation, there are also seven groups of inflation categorized based on expenditure. Inflation particularly in Indonesia is influenced by internal and external factors. These factors may effect inflation not only at a single point of time, but also at certain periods. Money supply is one factor strongly considered to influence inflation. Consequently, it is important to forecast inflation by involving money supply as input series. The effect of money supply on inflation was analyzed in this study. This research focused on hybrid method which is the combination between Autoregressive Integrated Moving Average with Exogenous Factor (ARIMAX) and Neural Network (NN). The resultsof hybrid method were compared to individual forecasting method, i.e. ARIMA and ARIMAX. The result indicated that hybrid ARIMAX-NN provided precise inflation prediction compared to ARIMA or ARIMAX method. Hybrid model can be an effective and efficient way to improve forecasting.]]>
<![CDATA[Modeling Inflation Volatility Using ARIMAX-GARCH ]]>
<![CDATA[Sri Aryani]]>;
<![CDATA[Heri Kuswanto]]>;
<![CDATA[S Suhartono]]>
<![CDATA[ Proceeding ISETH (International Summit on Science, Technology, and Humanity) 2015: Proceeding ISETH (International Conference on Science, Technology, and Humanity) ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Surakarta ]]>
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<![CDATA[Forecasting inflation is necessary as a basis for making decisions and high quality good planning in economic development in Indonesia particularly for the government and businessmen. The forecasting generally uses time series data. However, there is a time series data which is difficult to obtain stationary, i.e., the variance on financial time series data such as the stock price index, interest rates, inflation, exchange rates, and etc. It is mainly caused by the inconsistency of variance (heteroscedasticity). This study developed Autoregressive Integrated Moving Average (ARIMA) model using exogenous factors, namely the price of oil and outlier detection to forecast inflation. Another modeling which is expected to solve the problem of heteroscedasticity is a Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model. In this study, the asymmetric GARCH of Glosten Jagannathan Runkle-GARCH (GJR-GARCH) was carried out. This model could accommodate the volatility in the form of negative shocks that can leverage the effect. The data used in this study was the Inflation rate of Indonesia and world oil prices in January 1991 to December 2014 respectively. The results showed that ARIMAX-GJR GARCH is the best model to forecast national inflation volatility.]]>
<![CDATA[Some Properties of M-Accretive Operators in Normed Spaces ]]>
<![CDATA[Christina Kartika Sari]]>
<![CDATA[ Proceeding ISETH (International Summit on Science, Technology, and Humanity) 2015: Proceeding ISETH (International Conference on Science, Technology, and Humanity) ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Surakarta ]]>
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<![CDATA[Multivalued mapping in normed space has been extensively studied in Mathematical analysis. One example of multivalued mapping is normalized duality mapping. This mapping leads us to another example of multivalued operator, named accretive operator, which is also a multivalued operator. This study was aimed to examine the basic concepts of accretive and maccretive operator. Furthermore, discussion on some properties of accretive and m-accretive operator was provided.]]>
<![CDATA[The Comparison of Classical and Bayesian Bivariate Binary Logistic Regression Prediction for Unbalanced Response (Case Study: Customers of Antivirus Software 'X' Company) ]]>
<![CDATA[Muktar Redy Susila]]>;
<![CDATA[Heri Kuswanto]]>;
<![CDATA[Kartika Fithriasari]]>
<![CDATA[ Proceeding ISETH (International Summit on Science, Technology, and Humanity) 2015: Proceeding ISETH (International Conference on Science, Technology, and Humanity) ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Surakarta ]]>
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<![CDATA[The purpose of this study was to compare the performance of classical bivariate binary logistic regression and Bayesian bivariate binary logistic regression. The sizes of sample used in research were small and large sample. The size of the small sample was 200 and the large sample was 10000 samples. Parameter estimation method that often used in logistic regression modeling is maximum likelihood which is called the classical approach. However, using a maximum likelihood parameter estimation has several weaknesses. When the number of sample is small and the dependent variable is unbalanced, bias parameters are frequently obtained. Nevertheless, when the sample size is too large, it has propensity to reject H0. As the solution, the use of Bayesian approach to overcome the small sample size problem and unbalanced dependent variable is suggested. The case study carried out in this research was customer loyalty of 'X' Company. This study used two dependent variables, i.e. Customer Defections and Contract Answer. Initial information on the number of consumers who defected and not defected was unbalanced, likewise for the Contract Answers. Based on the comparison of classical and Bayesian bivariate binary logistic regression prediction, Bayesian method was evidenced to yield better performance compared to classical method.]]>
<![CDATA[Finding Airon Deficiency Anemia (IDA)at Young Women with Overweigth or Obesity ]]>
<![CDATA[Amelya Augusthina Ayusari]]>;
<![CDATA[Shofura Azizah]]>;
<![CDATA[Lilik Wijayanti]]>;
<![CDATA[Dono Indarto]]>;
<![CDATA[Yuliana Heri Suselo]]>;
<![CDATA[Yusuf Ari Mashuri]]>;
<![CDATA[Yunia Hastami]]>;
<![CDATA[Dwi Rahayu]]>
<![CDATA[ Proceeding ISETH (International Summit on Science, Technology, and Humanity) 2015: Proceeding ISETH (International Conference on Science, Technology, and Humanity) ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Surakarta ]]>
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<![CDATA[Background: Young women can suffer from anemia due to monthly menstruation and by having many activities without adequate iron-filled nutrition. Otherproblems found on them are overweight and obesity. The data show that one with overweight or obesity can lead to iron deficiency anemia (IDA) along with increasingproinflammatory cytokines, which will cause the transcription of hepcidin. The increaseof hepcidin transcription will inhibit the absorption of iron from the intestine into the circulation, inhibiting spending iron reserves into circulation, and inhibitingthe release of iron recycled from splenic macrophages. This can cause IDA. The purpose of this study was to obtain the proportion of iron deficiency anemia in overweight or obese young women.Methods: The design of this study was cross sectional using purposive sampling. The subjects of this study were the student from fiveselected Senior high schools inBoyolali, Central Java, Indonesia. The determination of IDAis done by using hemoglobin and indexes of erythrocytes. Results: This study was the follow-upof the previous study, which was conducted to 14 obese and/or overweightyoung women withanemia From 14 subjects, there wasone subject suffered from other anemia and 13 subjects with IDA (using index erythrocytes examination). Their mean of MCV was 72.68±4.29fl, MCH was 23.08±2.63pg, and MCHC was 35.21±0.65 %.Conclusions: From this study, almost all overweight or obeseyoung women with anemia were indicated as IDA (92.8%).]]>
<![CDATA[The Relation of Zinc Deficiency Level on Memory of School-Age Children ]]>
<![CDATA[S Setianingsih]]>;
<![CDATA[Djaswadi Dasuki]]>;
<![CDATA[Indria Laksmi Gamayanti]]>
<![CDATA[ Proceeding ISETH (International Summit on Science, Technology, and Humanity) 2015: Proceeding ISETH (International Conference on Science, Technology, and Humanity) ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Surakarta ]]>
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<![CDATA[More than two billion people are expected to lack of essential vitamins and minerals, especially vitamin A, iodine, iron (Fe) and zinc (Zn). Research showed positive effect of zinc supplementation on children's growth, morbidity and mortality in diarrhea and pneumonia. Zinc plays an important role in the structure and function of the brain; and zinc deficiency also has negative impact the development of cognitive functions such as attention and memory. This paper aims to determine the effect of zinc deficiency on memory in school-age children in the district of Klaten. The study used was description of analytic with quantitative approach by using cross-sectional design. The experiment was conducted in some elementaryschools (SD) in the district of Klaten. The study population was the students from 9-12 age groups in the elementary schools, which in accordance with inclusion and exclusion criteria. This study employed purposive sampling technique to represent the elementary schools of villages and towns. The determination of the samples was done by PASS softwareand the number of sample was 60. The data were analyzed by using univariable and bivariable by statistical test t-test with 95% confidence intervals. The findings showed that children with zinc deficiency had the average value of 6.1 short-term memory with SD 1.3, whereas children with normal zinc levels had the average value of 10.7 and SD 3.1. The mean difference of -4.6 with 95 % CI (-6.98 - (-2.14) and a value of p = 0.0004 or p < 0.05. The average value of long-term memory of children with zinc deficiency was 7.8 with SD 3.0, whereas the average value of children with normal zinc levels was 8.4 and SD 3.2. The difference of the mean was -0.57 with 95 % CI (-3.16 - 2.01) and a value of p = 0.658 or p > 0.05. To conclude, the average scores value of short-term memory in children with zinc deficiency was lower than the short-term memory scores in children with normal zinc levels. The average scores value of long-term memory in children with zinc deficiency was equal to the children with normal zinc levels.]]>
<![CDATA[Design System for Education & Health Counseling (E-Pedakos) Posyandu in Indonesia Based E-Learning ]]>
<![CDATA[W Wiharto]]>;
<![CDATA[Esti Suryani]]>;
<![CDATA[Siti Fatimah]]>
<![CDATA[ Proceeding ISETH (International Summit on Science, Technology, and Humanity) 2015: Proceeding ISETH (International Conference on Science, Technology, and Humanity) ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Surakarta ]]>
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<![CDATA[The model system of education and maternal and child health counseling at the Posyandu has been done with the direct model, namely Posyandu. The increasing number of women working population affects the lessening number of participants as well as the effectiveness of this activity. This study proposed a model of maternal and child health education and counseling based on e-learning with a reference of electronic education and health counseling (e-pedakos). This study was conducted in several stages. The first stage was the establishment and development of e-pedakos systems and infrastructure. Subsequently, it was examined related to the public’s attendance and responses, which was preceded by the training on how to use E-pedakos. The last stage was the survey on system effectiveness. This counseling model counseling of e-pedakos provides an alternative to resolve the weaknesses of conventional posyandu. It promotes maternal education and counseling which can be done anytime and anywhere.]]>
<![CDATA[Correlation between Intensity of Dhikr Breath and Sleep Latency ]]>
<![CDATA[Setiyo Purwanto]]>
<![CDATA[ Proceeding ISETH (International Summit on Science, Technology, and Humanity) 2015: Proceeding ISETH (International Conference on Science, Technology, and Humanity) ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Surakarta ]]>
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<![CDATA[Sleep latency is the time period between the preparation for sleep and the start of deep sleep.Sleep latency is the main indicator to determine the quality of an individual sleep. The longer the sleep latency is required by someone to fall asleep, the lower of the sleep quality will be. Dhikr breath is an alternative method of therapy in order to reduce a person’s latency of sleep to get a better sleep quality. In dhikr breath, there is relaxation and transcendental meditation that is effective to make a person relax and will eventually fall asleep. The study aimed to determine the relationship between the intensity of performing dhikr breath with sleep latency. It was an observational study which implemented the cross sectional approach. It involved 21 respondents who practice dhikr breath. The data of dhikr breath intensity and sleep latency were obtained by carrying on questionnaire. The results showed that the mean intensity of dhikr breath of the respondents was 81.14 times, while the mean sleep latency was 13.05 minutes. The analysis of correlation was conducted by applying Wilcoxon Signed Ranks test with p-value = 0.00, it indicated that there is a very significant correlation between the intensity of dhikr breath and sleep latency. The higher is the intensity of dhikr breath, the better the sleep latency will be.]]>
<![CDATA[Marital Conflict Resolution and Influencing Factors (Studies on Married Women in Makassar) ]]>
<![CDATA[Sitti Murdiana]]>;
<![CDATA[Hendriati Agustiani]]>
<![CDATA[ Proceeding ISETH (International Summit on Science, Technology, and Humanity) 2015: Proceeding ISETH (International Conference on Science, Technology, and Humanity) ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Surakarta ]]>
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<![CDATA[Despite the fact that conflict is an undeniable part in marriage life, yet it could be a serious threat for it. In addition, it may bring negative impact for an individual life, both personal and social life, particularly for the children involved in the marital conflict. This study aimed to determine the factors which influence marital conflict resolution. This study involved 107 married women as the respondents with specific age of 10-40 years old. The source of data was the questionnaire in the form of open-ended questions. It was classified based on the similarity of answer. The result showed that there were two primary factor groups which were evidenced to influence marital conflict resolution, namely internal and external factors. Internal factors consisted of emotion regulation, attachment, and trait. Meanwhile the external factors were the children and family factors.]]>
