G.K. GANDHIADI
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ALGORITMA PENGATURAN KINEMATIKA ROBOT REDUNDANT UNTUK MENGHINDARI TERJADINYA TUMBUKAN BERDASARKAN SKEMA PRIORITAS TUGAS GEDE SANTI ASTAWA; G.K. GANDHIADI
Jurnal Matematika Vol. 1, No. 1 April 2007
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JMAT.2007.v01.i01.p02

Abstract

A redundant manipulator has more degree of freedom than minimal needed to do its job. Inthis condition the manipulator can easily do the job, and can say become not optimal. To makethe manipulator more optimal, we try to add some obstacles that must be avoided by themanipulator. in calculation process we use inverse kinematics method in task priority scheme.From the simulation result, it is looked that by adding some jobs do not annoy the main job ofmanipulator, and those prove that the priority of the job can help manipulator do that job moreoptimal.
KAUSALITAS ANTARA ANXIETY, SOCIAL PHOBIA TERHADAP PEMAIN VIDEO GAME ALEXANDER JOSEPH RIADI; I KOMANG GDE SUKARSA; NI LUH PUTU SUCIPTAWATI; EKA N. KENCANA; MADE SUSILAWATI; G.K. GANDHIADI
E-Jurnal Matematika Vol 13 No 1 (2024)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MTK.2024.v13.i01.p437

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.
ANALISIS VARIABEL INDEKS PEMBANGUNAN MANUSIA MENGGUNAKAN ANALISIS REGRESI LINIER BERGANDA DI PROVINSI JAWA TIMUR SARIFUL MUNAWAROH; G.K. GANDHIADI; DESAK PUTU EKA NILAKUSMAWATI
E-Jurnal Matematika Vol 12 No 4 (2023)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MTK.2023.v12.i04.p431

Abstract

According to the Central Statistics Agency, HDI is formed by three basic dimensions, namely life expectancy, knowledge, decent living standards. So researchers are interested in analyzing the influence of these 3 basic dimensions on HDI using multiple linear regression analysis. By determining the independent variables and dependent variables, human development index data in East Java in 2021. Then determining the estimated value of the multiple regression model. Next, carry out testing, starting with a simultaneous test. After that, a partial test (t test) was carried out. Then the classical assumption test is carried out, which is a statistical requirement that must be met in multiple linear regression analysis. In multiple regression analysis, classic assumption tests are carried out, including the normality test, multicollinearity test and heteroscedasticity test. Then look at the coefficient of determination value to find out how far the model is able to explain variations in the dependent variable. The final step in this research is to interpret the model with multiple linear regression, namely to see and explain the results of the best model analysis and find out the independent variable that has the most significant influence on the dependent variable. Research data analysis was carried out using SPSS software. The multiple linear regression model formed in the analysis of the human development index in East Java obtained a contribution value from the independent variable and the dependent variable of 99.7%.
ANALISIS FAKTOR-FAKTOR YANG MEMENGARUHI KINERJA PEGAWAI MENGGUNAKAN PARTIAL LEAST SQUARE PRISCELLA PURBA; G.K. GANDHIADI; MADE SUSILAWATI
E-Jurnal Matematika Vol 13 No 1 (2024)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MTK.2024.v13.i01.p436

Abstract

Partial least squares (PLS) is a powerful analytical technique that may be utilised across all data scales, without the need for numerous assumptions and without the requirement of a large sample size. In this study, the PLS method was utilized to determine the elements influencing the performance of employees of PT Pegadaian (Persero) Medan Region I office. The elements employed in this study are: leadership, work environment, discipline, remuneration and work motivation. The results showed that work motivation has a positive and significant effect on employee performance with an effect of 0.733. Factors that affect employee performance at PT Pegadaian (Persero) Medan Region I Office, namely: work motivation, remuneration, discipline and work environment.