An improved multi-mode seismic vibration control method using multiple tuned mass dampers

Multiple vibration modes of an engineering structure might be excited by earthquake ground motions. Multiple tuned mass dampers (MTMDs) are widely used to control these multi-mode vibrations. However, in the commonly used MTMD system, the mass element in each tuned mass damper (TMD) is normally assumed to be the same. To improve the performance of MTMDs for seismic-induced vibration control, non-uniform MTMD masses are adopted in the present study to improve the mass utilization of TMD, and a location factor is proposed to determine the best location of each TMD in the MTMD system. The effectiveness of the proposed method is validated through numerical study. The results show that the proposed method effectively reduces the seismic responses of the structure induced by multiple vibration modes.

Factors Influencing Organizational Performance in Hotel Sector of Nepal

The present study is designed to identify the factors influencing organizational performance based on native research work carried out through field study. Adopting descriptive cum analytical research design, this study is based on primary data obtained from the hotels located inside the Kathmandu valley of Nepal through the use of a five-point Likert-type questionnaire. With the help of the random sampling technique, 130 employees working in 23 hotels in the position of executive, managerial and officer’s level are taken as sample respondents. Four different variables affecting hotels' performance i.e., qualification, training and experience, administrative efficiency and location are taken as the independent variables and organizational performance as the dependent variable. Descriptive and inferential statistics have been used in this study. All the variables obtained Cronbach alpha value greater than .65, which shows the consistency on items taken for the study. The correlation analysis showed a strong positive correlation between organization performance and performance factors in the Nepalese hotel sector. Moreover, the regression analysis indicated that qualification of the employee, administrative efficiency of hotel management and training and experience provided to the employee are found strong predictors of organizational performance but the location factor was not found the determinant of organization performance in the Nepalese hotel sector. This study can further expand by adopting other variables affecting organizational performance in the hospitality sectors of Nepal.

Characterisation of Phenolic Compounds, Sterols and Geographical Fingerprint of Çekişte Extra-Virgin Olive Oils According to their Geographical Locations by Using LC IMS QTOF Mass Spectrometry

In this context, aim of this study is to determine the effect of Çekişte olive oils in different locations and show differences on geographical locations while taking geographical indication label. Çekişte olive oil variety which cultivated in six different locations (Birgi, Bademli, Beyazit, Yeniceköy, Zeytinlik, Uzumlu) were evaluated the effects of geographical locations on the chemical characterization of in the southwest of Turkey. The agricultural ecological map of each location was created using GIS. Olive oil samples were analyzed fatty acid, sterol and phenolic. Moreover, LC IMS Qtof spectrometer and Progenesis QI software were used to determine the geographical fingerprints of olive oil samples in different locations. Results showed that oil qualities of some locations differ significantly depending on olive growing area (p <0.05), some of them not. The Principal Component Analysis of the different locations analyzed revealed that "geographical location" factor significantly affects the olive oil quality.

The Affect of Economic Growth toward Poverty in JABODETABEK

The problem of poverty in JABODETABEK when measured by the percentage of poverty has decreased but tends to be slow in 2014-2018 and this problem is a challenge for the government because the poverty rate is still high in JABODETABEK, even though this region has high industrial activity in Java and is a location factor that affects close to the centre of government. This happens because economic growth is the most dominant anti-poverty instrument. This study uses panel data regression analysis technique with the data used is secondary data obtained from the Central Statistics Agency. The results obtained indicate that economic growth has a positive and significant effect on poverty. Suggestions for reducing poverty levels are that local governments need to encourage an increase in the rate of economic growth in the areas of Jakarta, Bogor, Depok, Tangerang and Bekasi.

Faktor – factor yang Berhubungan dengan Kepuasan Keluarga Pasien di Instalasi Gawat Darurat Rumah Sakit Panti Rapih Yogyakarta

ABSTRACT Background : Patient satisfaction is a feeling of pleasure or satisfaction that the services received have met or exceeded the patient's expectations (Nursalam, 2016). Emergency Room (ER) is a part that serves patients with emergency conditions, the action must be effective and efficient according to the quality of service. Satisfaction of patients and their families needs to be measured to improve the quality of services in the Emergency Room Purpose : This study aims to find out relations between the factors related to family satisfaction of patients in the Emergency Room at Panti Rapih Hospital, Yogyakarta. Methods : This research is a quantitative study with a correlational descriptive method using a cross sectional approach. The instrument used was the Patient satisfaction questionnaire format 10 compiled by the previous researcher and the questionnaire about factors related to satisfaction compiled by the researcher. The sample in this study used a non probability sampling with accidental sampling method. The number of respondents is 75 people. The study was conducted on January 13, 2021 to January 28, 2021, Univariate analysis using percentage analysis and bivariate analysis using Spearman correlation to determine the factors associated with satisfaction. Result :There is a significant positive relationship between performance factors and patient family satisfaction (p value = 0.000) rho value = 0.533, there is a significant positive relationship between the facility factor and patient family satisfaction (p value = 0.000) rho value = 0.474, there is a significant positive relationship between service factors and patient family satisfaction (p value = 0.000) rho value = 0.550, there is a significant positive relationship between communication factors and patient family satisfaction (p value = 0.000) rho value = 0.471, there is a significant positive relationship between the atmosphere factor and patient's family satisfaction (p value = 0.000) rho value = 0.513, there is a significant positive relationship between the location factor and patient's family satisfaction (p value = 0.000) rho value = 0474, there is a significant positive relationship between visual design and patient family satisfaction ( p value = 0.000) rho value = 0.435. Conclusion : There is a significant, positive relationship between performance factors, facilities, services, communication, atmosphere, location and visual design on the patient's family satisfaction. This research can be used as a reference in an effort to increase patient and family satisfaction in the hospital.

Keputusan Mahasiswa dalam Memilih Indekos dengan Analisis Faktor

Tujuan penelitian ini yaitu mengetahui faktor yang menjadi keputusan mahasiswa Program Studi Matematika Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Sam Ratulangi (FMIPA UNSRAT) dalam memlilih indekos. Penelitian dilakukan dengan membagikan kuesioner kepada 60 responden mahasiswa aktif Program Studi Matematika FMIPA UNSRAT angkatan 2016-2019. Data dianalisis dengan menggunakan analisis faktor. Hasil penelitian menunjukkan ada empat faktor yang terbentuk dan bisa menjelaskan variabel-variabel yang ada dengan baik. Faktor paling dominan yang mempengaruhi keputusan mahasiswa dalam memilih Indekos adalah faktor lokasi dan harga dengan nilai eigen 4.130 dengan keragaman varian sebesar 31.769%.Kata kunci: Analisis faktor; fasilitas; indekos;Decision Students in Choosing Indekos with Factor AnalysisABSTRACTThe objective of this research was conducted to determine what factors are the student of mathematics study program Sam Ratulangi University decision in choosing boarding house. The study was conducted by distributing questionnaires to 60 respondents, namely, active students of the Mathematics Study Program Elemental School of 2016-2019. By using factor analysis, the results of the study showed that there explain the variables correctly. The most dominant factor affecting students’ decision to select indexes is the location factor and price of 4.130 with a varied varan of 31.769%.Keywords : Factor analysis, facility; indekos

Usable comprehensive-factor authentication for a secure time attendance system

In information security, it is widely accepted that the more authentication factors are used, the higher the security level. However, more factors cannot guarantee usability in real usage because human and other non-technical factors are involved. This paper proposes the use of all possible authentication factors, called comprehensive-factor authentication, which can maintain the required security level and usability in real-world implementation. A case study of an implementation of a secure time attendance system that applies this approach is presented. The contribution of this paper is therefore to provide a security scheme seamlessly integrating all classical authentication factors plus a location factor into one single system in a real environment with a security and usability focus. Usability factors emerging from the study are related to a seamless process including the least number of actions required, the lowest amount of time taken, health safety during the pandemic, and data privacy compliance.

Pemodelan Semiparametrik Geographical Weighted Logistic Regression pada Data Kemiskinan di Provinsi Sulawesi Selatan Tahun 2017

The level of poverty in a Regency/city in South Sulawesi in 2017 is different. The grouping of poverty status can be done based on the value of the HeadCount Index (HCI) of South Sulawesi. Factors affecting poverty will differ for each area being observed. The statistical modeling method developed for data analysis by taking into account the location factor is semiparametric Geographical Weighted Logistic Regression (GWLR). The GWLR semiparametric Model consists of parameters that are affected by the location and not affected by the location. The parameter estimator of the GWLR semiparametric model used in this research was obtained using the maximum method likelihood estimation. The result of a semiparametric model of GWLR each district/city in South Sulawesi in 2017 has the value Estimator parameter for global parameters is the same value for each location, namely, a3 = 0.1724, a4 = 0.0204, and a6 = 0.0261 whereas the parameter estimator for local parameters has different values so that GWLR semiparametric model of each district/city.

Decision support framework for the regional facility location and development planning problem

Location choice is a crucial planning task with major influence on a company’s future orientation and competitiveness. It is quite complex, since multiple location factors are usually of decision-relevance, incomparable, and sometimes conflictual. Further, ongoing urbanization is associated with locational dynamics posing major challenges for the regional location management of companies and municipalities. For example, respecting urban space as location factor, a scarcity growing over time leads to different assessment and requirements on a company’s behalf. For both companies and municipalities, there is a need for location development which implies an active change of location factor characteristics. Accordingly, considering locational dynamics is vital, as they may be decisive in the location decision-making. Although certain dynamics are considered within conventional Facility Location Problem (FLP) approaches, a systematic consideration of active location development is missing so far. Consequently, they may propagate long-term unfavorable location decisions, as major potentials associated with company-driven and municipal development measures are neglected. Therefore, this paper introduces a comprehensive decision support framework for the Regional Facility Location and Development planning Problem (RFLDP). It provides an operationalization of development measures, and thus anticipates dynamic adaptations to the environment. An established multi-criteria approach is extended to this new application. A complementary guideline ensures its meaningful applicability by practitioners. Based on a real-life case study, the decision support framework’s strength for practical application is demonstrated. Here, major advantages over conventional FLP approaches are highlighted. It is shown that the proposed methodology results in alternative location decisions which are structurally superior.