scholarly journals FAKTOR-FAKTOR PENENTU PERILAKU GURU SMP MENGGUNAKAN TEKNOLOGI DALAM PEMBELAJARAN ONLINE: STUDI KASUS DI PROVINSI RIAU

2021 ◽  
Vol 22 (2) ◽  
pp. 123-133
Author(s):  
Defrizal Hamka ◽  
Neng Sholihat
Keyword(s):  
Online Learning ◽  
Latent Variables ◽  
Latent Variable ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Influential Factor ◽  
Equation Modeling ◽  
Purposive Sampling ◽  
Facility Conditions

The purpose of this research is to investigate factors that influence the intent of behavior using technology in online learning. The study uses structural equation modeling using a partial least square approach to test the hypotheses. Respondents selected using purposive sampling, and the questionnaires were distributed through online surveys and received a response of 96 respondents. Results show that latent variables, performance expectations, business expectations, and facility conditions have a positive and significant relationship with the intent of individual behaviour in the use of technology in online learning. The latent variable "condition facility" is the most influential factor. This research provides an important overview and understanding for policymakers in designing frameworks to pay attention to facility conditions. Further research is suggested in the future covering samples from various provinces in Indonesia. This study adds to the literature primarily on factors affecting behavioral intent to use technology in online learning. Tujuan dari penelitian ini adalah untuk menganalisis faktor-faktor yang mempengaruhi niat perilaku guru menggunakan teknologi dalam pembelajaran online. Penelitian ini menggunakan pemodelan persamaan struktural dengan menggunakan pendekatan partial least square untuk menguji hipotesis. Berdasarkan purposive sampling, kuesioner disebarkan melalui survei online dan mendapat tanggapan dari 96 responden. Hasil penelitian menunjukkan bahwa variabel laten, ekspektasi kinerja, ekspektasi usaha, dan kondisi fasilitas memiliki hubungan positif dan signifikan dengan niat perilaku individu dalam penggunaan teknologi dalam pembelajaran online. Variabel laten “fasilitas kondisi” merupakan faktor yang paling berpengaruh. Penelitian ini memberikan gambaran dan pemahaman penting bagi pembuat kebijakan dalam merancang kerangka kerja untuk memperhatikan kondisi fasilitas. Penelitian lebih lanjut disarankan di masa depan mencakup sampel dari berbagai provinsi di Indonesia. Studi ini menambah literatur terutama pada faktor-faktor yang mempengaruhi niat perilaku untuk menggunakan teknologi dalam pembelajaran online.

scholarly journals ANALISIS KEPUASAN DAN LOYALITAS PELANGGAN DALAM PEMESANAN TIKET PESAWAT SECARA ONLINE MENGGUNAKAN PENDEKATAN PARTIAL LEAST SQUARE (PLS)

2018 ◽  
Vol 7 (4) ◽  
pp. 361-372
Author(s):  
Trisnawati Gusnawita Berutu ◽  
Abdul Hoyyi ◽  
Sugito Sugito
Keyword(s):  
Latent Variables ◽  
Latent Variable ◽  
Structural Equation ◽  
Service Providers ◽  
Web Design ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Internet Service ◽  
Access Security

Technology advances are bring rapid changes, thus bringing the world to the information society. From this technological progress thus e-commerce emerged, as a means to meet the needs of goods and services through internet access (online). This is what the airlines utilized by cooperating with various internet service providers (online), to provide convenience and comfort of airplane passengers in buying tickets without having to come directly to the place and through intermediaries. To provide the best service, need to know what factors that influence customer satisfaction in ordering airline tickets online. Appropriate modeling for this problem using structural equation modeling, with Partial Least Square (PLS) approach. The PLS approach is chosen because it is not based on several assumptions, one of these is the normal multivariate assumption. In this research, the exogenous latent variables used are performance, access, security, sensation, information, and web design, while the endogenous latent variables are satisfaction and loyalty. Based on the results of the analysis it can be concluded that the latent variables of access, security, sensation, information, and web design are able to explain the latent satisfaction variable of 70.32% while the satisfaction latent variable is able to explain the latent variable of loyalty by 36.02%. 

MODELING OF SEA SURFACE TEMPERATURE BASED ON PARTIAL LEAST SQUARE - STRUCTURAL EQUATION

2021 ◽  
Vol 14 (2) ◽  
pp. 170-182
Author(s):  
Miftahuddin Miftahuddin ◽  
Retno Wahyuni Putri ◽  
Ichsan Setiawan ◽  
Rina Suryani Oktari
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Latent Variables ◽  
Latent Variable ◽  
Structural Equation ◽  
Structural Model ◽  
Partial Least Square ◽  
Least Square ◽  
Sea Surface ◽  
Equation Modeling

Variability of Sea Surface Temperature (SST) is one of the climatic features that influence global and regional climate dynamics. Missing data (gaps) in the SST dataset are worth investigating since they may statistically alter the value of the SST change. The partial least square-structural equation modeling (PLS-SEM) approach is used in this work to estimate the causality relationships between exogenous and endogenous latent variables. The findings of this study, which are significant indicators that have a loading factor value > 0.7 are as follows: i) sea surface temperature (oC) as a measure of the latent variable changes in SST, ii) wind speed (m/s) and relative humidity (%) as a measure of the latent variable of weather, and iii) air temperature (oC), long-wave solar radiation (w/m2) as a measure of climate latent variables. The size of the Rsquare value is influenced by the number of gaps. The results of the boostrapping show that the latent variables of weather and climate have a significant effect on changes in SST which are indicated by the value of tstatistics > ttabel. The structural model obtained Changes in SST (η) = -0.330 weather + 0.793 climate + ζ. The model shows that the weather has a negative coefficient, which means that the better the weather conditions, the lower the SST changes. Climate has a positive coefficient, which means that the better the climate, the SST changes will also increase. Rising sea surface temperatures caused by an increase in climate can lead to global warming, impacting El-Nino and La-Nina events.

scholarly journals ANALISIS TECHNOLOGY ACCEPTANCE MODEL PADA APLIKASI PLATFORM SHOPEE DENGAN PENDEKATAN PARTIAL LEAST SQUARE (STUDI KASUS PADA MAHASISWA UNIVERSITAS DIPONEGORO)

2021 ◽  
Vol 10 (3) ◽  
pp. 423-434
Author(s):  
Ovie Auliya’atul Faizah ◽  
Suparti Suparti ◽  
Abdul Hoyyi
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Latent Variables ◽  
Latent Variable ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Primary Data ◽  
Equation Modeling ◽  
Acceptance Model

E-commerce refers to business transactions using digital networks such as the internet. Based on the rank on the Appstore and Playstore, Shopee places the first rank. In 2019, Shopee had 56 million visitors. Meanwhile, in the same year, it had 3,225 workers. The imbalance between the number of Shopee visitors and Shopee employees allows users to be disappointed with Shopee's services, but on the other hand, there are also many users who are happy with its services. With both positive and negative responses to the services provided by Shopee, this study analyzes the factors affecting the acceptance of Shopee Apps on students of Universitas Diponegoro Semarang. The analysis was based on the Technology Acceptance Model (TAM). It used the Structural Equation Modeling with the Partial Least Square (SEM-PLS) approach. The study used primary data obtained by distributing questionnaires to students of Universitas Diponegoro. The result showed 28 valid indicators, 5 deal inner models, and 8 significant pathways. All the causality between latent variables contained in the Technology Acceptance Model (TAM) have a positive and significant effect, it's just that the results of integrating trust variables on TAM, namely the latent variable between trust and interest in usage behavior, have no significant effect. 

scholarly journals ANALISIS TECHNOLOGY ACCEPTANCE MODEL PADA APLIKASI PLATFORM SHOPEE DENGAN PENDEKATAN PARTIAL LEAST SQUARE (STUDI KASUS PADA MAHASISWA UNIVERSITAS DIPONEGORO)

2022 ◽  
Vol 10 (4) ◽  
pp. 532-543
Author(s):  
Ovie Auliya’atul Faizah ◽  
Suparti Suparti ◽  
Abdul Hoyyi
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Latent Variables ◽  
Latent Variable ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Primary Data ◽  
Equation Modeling ◽  
Acceptance Model

E-commerce refers to business transactions using digital networks such as the internet. Based on the rank on the Appstore and Playstore, Shopee places the first rank. In 2019, Shopee had 56 million visitors. Meanwhile, in the same year, it had 3,225 workers. The imbalance between the number of Shopee visitors and Shopee employees allows users to be disappointed with Shopee's services, but on the other hand, there are also many users who are happy with its services. With both positive and negative responses to the services provided by Shopee, this study analyzes the factors affecting the acceptance of Shopee Apps on students of Universitas Diponegoro Semarang. The analysis was based on the Technology Acceptance Model (TAM). It used the Structural Equation Modeling with the Partial Least Square (SEM-PLS) approach. The study used primary data obtained by distributing questionnaires to students of Universitas Diponegoro. The result showed 28 valid indicators, 5 deal inner models, and 8 significant pathways. All the causality between latent variables contained in the Technology Acceptance Model (TAM) have a positive and significant effect, it's just that the results of integrating trust variables on TAM, namely the latent variable between trust and interest in usage behavior, have no significant effect. 

scholarly journals Pengaruh Pengembangan Sumber Daya Manusia Dan Religiusitas Terhadap Kinerja Karyawan Dengan Kepuasan Kerja Sebagai Variabel Intervening Pada Bank Unit Usaha Syariah Di Kota Palembang

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Menik Lestari ◽  
Dinnul Alfian Akbar ◽  
Chandra Zaky Maulana
Keyword(s):  
Job Satisfaction ◽  
Human Resource Development ◽  
Human Resource ◽  
Structural Equation ◽  
Employee Performance ◽  
Resource Development ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Purposive Sampling

This research uses quantitative research, the aim is to determine the influence of human resource development, religiosity, on employee performance with job satisfaction as an intervening variable. In this study, data was collected by distributing questionnaires to 100 employees using a purposive sampling method to determine respondents' responses to existing variables. The analysis was performed using the method of Structural Equation Modeling (SEM) based on partial least square (PLS). The results of the analysis show that human resource development has no effect on employee performance, religiosity has a positive and significant effect on employee performance. Human resource development has a positive and significant effect on job satisfaction, religiosity has a positive and significant effect on job satisfaction, and job satisfaction variables have a positive and significant effect in moderating human resource development on employee performance and religiosity on employee performance. This means that the more often human resource development is given, the higher the employee's performance and the higher the employee's religiosity, the higher the employee's performance will be and will result in job satisfaction for employees at the Sharia Business Unit Bank in Palembang City.  Keywords: Human Resources Development, Religiosity, Employee Performance, and Job Satisfaction.  AbstrakPenelitian ini menggunakan jenis penelitian kuantitatif, tujuannya yaitu untuk mengetahui besarnya pengaruh pengembangan sumber daya manusia, religiusitas, terhadap kinerja karyawan  dengan kepuasan kerja sebagai variabel intervening. Dalam penelitian ini data dikumpulkan dengan meyebarkan kuesioner terhadap 100 karyawan menggunakan metode purposive sampling untuk mengetahui tanggapan responden terhadap variabel yang ada. Analisis dilakukan dengan menggunakan metode Structural Equation Modelling (SEM) berbasis partial least square (PLS). Hasil analisis menunjukkan bahwa pengembangan sumber daya manusia tidak terdapat pengaruh terhadap kinerja karyawan, religiusitas berpengaruh positif dan signifikan terhadap kinerja karyawan. Pengembangan sumber daya manusia berpengaruh positif dan signifikan terhadap kepuasan kerja, religiusitas berpengaruh positif dan signifikan terhadap kepuasan kerja, Dan variabel kepuasan kerja berpengaruh positif dan signifikan dalam memoderasi antara pengembangan sumber daya manusia terhadap kinerja karyawan dan religiusitas terhadap kinerja karyawan. Ini berarti semakin sering pengembangan sumber daya manusia diberikan maka semakin tinggi kinerja karyawan dan semakin tinggi religiusitas karyawan maka kinerja karyawan akan semakin tinggi dan akan menghasilkan kepuasan kerja bagi karyawan pada Bank Unit Usaha Syariah di Kota Palembang.  Kata Kunci: Pengembangan Sumber Daya Manusia, Religiusitas, Kinerja Karyawan, dan Kepuasan Kerja.

Social interaction and effectiveness of the online learning – A moderating role of maintaining social distance during the pandemic COVID-19

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hasnan Baber
Keyword(s):  
Online Learning ◽  
Social Interaction ◽  
Social Distance ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Online Environment ◽  
Snowball Sampling ◽  
Content Type

PurposeThe pandemic of COVID-19 has pushed most of the classroom learning to an online environment with which most of the people were not familiar. This study aims to investigate the importance of social interaction on the effectiveness of online learning during the pandemic when social distancing norms are in place.Design/methodology/approachThis study uses the partial least square (PLS) structural equation modeling (SEM) approach, a nonparametric method based on total variance, using the SmartPLS software 3.0. The data were collected using the snowball sampling technique from the students who were learning online due to the pandemic COVID-19 and asked them to forward the survey link in their network.FindingsThe results suggested that social interaction has a positive significant impact on the effectiveness of online learning. However, this effect is reduced in the presence of social distance norms as people give more importance to continuous learning and to saving lives rather than socializing in the online environment.Originality/valueThe study will be helpful for instructors and educational institutes to formalize the strategies to enhance social interaction in online learning and analyze their pedagogy to improve effectiveness.

scholarly journals PENGARUH KUALITAS LAYANAN DAN KEPUASAN PELANGGAN PADA LOYALITAS PELANGGAN DI RESTORAN PIZZA E-BIRRA

2020 ◽  
Vol 1 (1) ◽  
pp. 11
Author(s):  
Cynthia Anna Wijayanti
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Brand Loyalty ◽  
Structural Equation ◽  
Sampling Technique ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Purposive Sampling ◽  
Physical Evidence

The purpose of this research is to examine the influence and relationship of Service Quality, Brand Loyalty and Customer’s Satisfaction as an intervening variable. The subject of the research is Indonesian-based local restaurant Pizza E-Birra under the management of Ismaya Group. The research is based on quantitative research with non-probability purposive sampling as the sampling technique and the data will be analysed using SEM Structural Equation Model with Smart PLS 3.0 as analysis tool.The research is using 5 dimensions of Service Quality, which are Physical Evidence (Tangible), Empathy, Reliability, Responsiveness and Assurance as the independent variable and its impact toward Brand Loyalty as dependent variable and also measuring the Customer Satisfaction as an intervening variable. The result show that all the hypotheses are accepted and some managerial implications needs to be done for management of Pizza E-Birra to improve their Service Quality which leads to their customer satisfaction overall for the dining experience hence will increase the level of brand loyalty among its patronage in the future ultimately. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh Kualitas Layanan (Service Quality) yang mempengaruhi Loyalitas Merek (Brand Loyalty) secara langsung dan pengaruhnya jika dimediasi oleh Kepuasan Pelanggan (Customer’s Satisfaction). Subyek penelitian ini adalah restoran lokal Indonesia Pizza E-Birra dibawah kepemilikan manajemen grup Ismaya. Penelitian kuantitatif ini menggunakan teknik pengambilan sampel Non-Probability Purposive Sampling dan data kuesioner akan dianalisis menggunakan Partial Least Square-Structural Equation Modeling (PLS-SEM) dengan bantuan program SmartPls.. Penelitian ini menggunakan 5 dimensi dari Kualitas Layanan (Service Quality) yaitu : Physical Evidence (Tangible), Empathy, Reliability, Responsiveness dan Assurance, serta faktor Kepuasan Pelanggan (Customer’s Satisfaction) sebagai variabel mediasi, semuanya akan diteliti secara simultan untuk membuktikan ada atau tidaknya pengaruh variabel bebas dan mediasi tersebut  dalam mempengaruhi Loyalitas Merek (Brand Loyalty) pada restoran Pizza E Birra. Hasil menunjukkan bahwa ketiga hipotesa yang diajukan didukung, artinya Kualitas Layanan berpengaruh positif terhadap Loyalitas Merek, Kualitas layanan berpengaruh positif terhadap kepuasan dan yang terakhir Kualitas layanan berpengaruh pada loyalitas merek dengan mediasi kepuasan, dengan beberapa masukan kepada management Pizza E-Birra , untuk lebih memperbaiki tingkat kualitas layanan, yang berdampak pada kepuasan pelanggan yang akhirnya akan mempengaruhi tingkat loyalitas merek atas restoran Pizza E-Birra.

Analisis Faktor-Faktor yang Mempengaruhi Prestasi Mahasiswa Departemen Statistika IPB menggunakan Metode SEM-PLS

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Zunita Sari ◽  
Muhammad Nur Aidi ◽  
La Ode Abdul Rahman
Keyword(s):  
Student Achievement ◽  
Learning Style ◽  
Latent Variables ◽  
Structural Equation ◽  
Visual Learning ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
High Level ◽  
Pls Method

Education is improving human power. Education is divided into three level namely primary, secondary and high level education. High level education can be obtained from University. University as one of high level education, is a formal education place for all studying and teaching activities, research, community service and develop scientific student to become qualified workforce. Student achievement in universities is influenced by various factors that cannot be measured both direct and indirect. The method that is used to determine those factors is structural equation modeling (PPS) with partial least square (PLS) method. PPS with PLS method used when there are some assumptions on diverse PPS which is not fullfiled, like binormal distribution and the big ammount of examples. The results showed that the six exogenous latent variables (family background, motivation, environment, visual learning style, auditory learning style, and kinesthetic learning style) did not have a significant influence on endogenous variables (student achievement). The model used in this study has a R2 value 14.1%. This values ​​indicates that the model built is still weak in explaining the diversity of student achievement.

scholarly journals Pengaruh Syariah Compliance dan Service Quality terhadap Minat Pengusaha Mikro menjadi Nasabah Bank Umum Syariah dengan Trust sebagai Variabel Intervening di Palembang

2021 ◽  
Vol 10 (2) ◽  
pp. 333-340
Author(s):  
Fajar Holis ◽  
Muhammad Rusydi ◽  
Candra Zaki Maulana
Keyword(s):  
Structural Equation Modeling ◽  
Service Quality ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Purposive Sampling

Penelitian ini bertujuan untuk mengetahui seberapa besar pengaruh syariah compliance dan service quality terhadap minat pengusaha mikro menjadi nasabah bank syariah di kota Palembang. Penelitian ini bersifat kausal menggunakan data primer 100 responden dengan teknik purposive sampling. Data hasil penelitian dianalisis dengan menggunakan metode Structural Equation Modeling (SEM) berbasis Partial Least Square (PLS). Hasil penelitian menunjukkan bahwa syariah compliance berpengaruh terhadap minat pengusaha mikro menjadi nasabah bank syariah, syariah compliance tidak berpengaruh terhadap kepercayaan pengusaha mikro menjadi nasabah bank syariah, service quality berpengaruh positif terhadap minat pengusaha mikro menjadi nasabah bank syariah, service quality berpengaruh positif terhadap kepercayaan pengusaha mikro menjadi nasabah bank syariah, dan kepercayaan berpengaruh positif terhadap minat menjadi nasabah bank syariah.

scholarly journals Pengaruh Dukungan Organisasi Yang Dirasakan Terhadap Kinerja Pada Mcdonald Di Jakarta Barat: Kepuasan Kerja Dan Keterlibatan Kerja Sebagai Variabel Mediasi

2021 ◽  
Vol 3 (1) ◽  
pp. 196
Author(s):  
Nikho Wijaya ◽  
Mei Ie
Keyword(s):  
Structural Equation Modeling ◽  
Organizational Support ◽  
Structural Equation ◽  
Optimal Performance ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Validity And Reliability ◽  
Probability Sampling ◽  
Purposive Sampling

The ability of employees seen from their good and optimal performance, good and optimal performance is a very important asset for organizations in dealing with outside competition by being required to work effectively and efficiently, so this research aims to find out: the effect of perceived organizational support on performance with mediation namely job engagement and job satisfaction at McDonald's. In this study, a sample of 40 employee respondents was taken with a non-probability sampling method and purposive sampling that had worked for at least 1 year. Data collection using a questionnaire that has been tested for validity and reliability. Technical data analysis was performed by multiple regression analysis. This data calculation uses partial least square-structural equation modeling (SEM).Kemampuan karyawan dilihat dari kinerja nya yang baik dan optimal, kinerja yang baik dan optimal merupakan harta yang sangat penting bagi organisasi dalam menghadapi persaingan diluar dengan dituntut bekerja efektif dan efesien, sehingga penelitian ini bertujuan dalam mengetahui: pengaruh dukungan organisasi yang dirasakan terhadap kinerja dengan mediasi yaitu keterlibatan kerja dan kepuasan kerja di McDonald. Dalam penelitian ini, diambil sampel sebanyak 40 responden karyawan dengan metode non probability sampling dan purposive sampling yang telah bekerja minimal 1 tahun. Pengumpulan data menggunakan kuesioner yang telah diuji validitas dan reliabilitasnya. Teknis analisis data dilakukan dengan analisis regresi berganda. Perhitungan data ini menggunakan partial least square-structural equation modeling (SEM).

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