DETERMINAN PENENTU PERTUMBUHAN DANA PIHAK KETIGA PERBANKAN SYARIAH DI INDONESIA

Islamic banking has continued weakening of growth in Depositor Funds gathers. The lowest growth occurred in the year 2015 which growth reached 6.11%. The purpose of this research was to find out what internal factors that can affect the growth of Depositor Funds of Islamic banking in Indonesia. Internal factors that supposedly influential include: Operating Espenses to Operating Revenue (BOPO), Training Costs, Promotion Cost, Financing to Deposit Ratio (FDR), the number of office network, and Non-Performing Financing (NPF). This research hypothesis testing using the analysis with the model of Structural Equation Models (SEM). The analysis used Partial Least Square (PLS), so it can be known how much of the independent variables are observed with influential factors hypothesized. The research found that the latent variable Internal factors influence on Depositor Funds. The variable encompasses Internal factors explaining the Depositor Funds amounting to 15.6%, the rest is explained by other variables that are not included in this research model.

Download Full-text

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

Jurnal Pendidikan ◽

10.33830/jp.v22i2.1934.2021 ◽

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.

Download Full-text

Pengaruh Sikap, Norma Subyektif dan Kontrol Perilaku yang Dirasakan Terhadap Niat Beli Pupuk Petroganik di Kabupaten Boyolali

SEPA Jurnal Sosial Ekonomi Pertanian dan Agribisnis ◽

10.20961/sepa.v14i2.24994 ◽

2018 ◽

Vol 14 (2) ◽

pp. 95

Author(s):

Novitasari Dika Kusuma Dewi ◽

Eny Lestari ◽

Heru [email protected] Irianto

Keyword(s):

Structural Equation ◽

Structural Equation Models ◽

Environmental Awareness ◽

Subjective Norms ◽

Partial Least Square ◽

Least Square ◽

Product Attributes ◽

Survey Techniques ◽

Multi Stage ◽

The Cost

<em>This research aims to find out the effects of product attributes, environmental awareness, the cost of fertilizer usage, subjective norms to the attitude of Petroganik fertilizer purchases also to find out the effects of attitude, subjective norms and cost of fertilizer usage to the intentions of purchasing Petroganik fertilizer. The method used in this research is explanatory methods by using survey techniques. Method taken to determine research location was conducted purposively and this research is done in Nogosari District and Musuk District. The method used for gathering samples with multi stage random sampling. Samples in this research were collected from 64 respondents split from 4 villages and 8 group farmers. The technique of collecting data was solved through observation, interviews, and logging. The analysis of the sample data used for this research is Structural Equation Models (SEM) method and also Partial Least Square (PLS) as an altiernative method. The research finds that (1) product attributes and environmental awareness positively determinants of purchase attitudes. (2) subjective norms, purchase attitudes, and cost of fertilizer usage affects the purchase intentions for Petroganik fertilizer.</em>

Download Full-text

A Hierarchical Latent Variable Model of Leadership Styles using PLS-SEM

Jurnal Teknologi ◽

10.11113/jt.v69.3245 ◽

2014 ◽

Vol 69 (6) ◽

Cited By ~ 1

Author(s):

Azlin Shafinaz Arshad ◽

Chin Fei Goh ◽

Amran Rasli

Keyword(s):

Transformational Leadership ◽

Leadership Styles ◽

Transactional Leadership ◽

Latent Variable ◽

Structural Equation ◽

Second Order ◽

Partial Least Square ◽

Least Square ◽

Variable Model ◽

Component Models

The aim of this article is to propose second order hierarchical component models to analyze the two leadership styles (transformational leadership and transactional leadership) for technology-based SMEs. We adopted the two-stage approaches in partial least square-structural equation modelling to examine the appropriateness of hierarchical modelling for both leadership styles. The findings indicate that the conceptual properties of transformational leadership and transactional leadership are matched with reflective-formative type of second order hierarchical component models. In addition, the study offers an alternative avenue to those researchers who are intending to introduce hierarchical component models in modelling leadership styles.

Download Full-text

PENGARUH RELIGITAS, KUALITAS LAYANAN DAN TRUST TERHADAP LOYALITAS NASABAH BANK SYARIAH DI KOTA BOGOR

Jurnal Riset Ekonomi dan manajemen ◽

10.17970/jrem.17.170204.id ◽

2018 ◽

Vol 17 (2) ◽

pp. 189

Author(s):

Soegeng Wahyoedi ◽

Hery Winoto

Keyword(s):

Service Quality ◽

Structural Equation ◽

Islamic Law ◽

Partial Least Square ◽

Least Square ◽

Equation Modeling ◽

Islamic Banking ◽

Islamic Bank ◽

The Government

ABSTRACT The role of Islamic banking in the national economy becomes more strategic as the government is facing fiscal limitation in funding the development. The growth of Islamic banking, a bank managed by implementing the principles of Islamic law, has not been satisfactory. This can be examined by referring to the role of Islamic banking in national banking which is till in the rate of less than 5 percent. This research aims to observe the influences of religiosity and service quality on trust and customer loyalty, as well as to observe the influence of trust on customer loyaltyof Islamic Bank in Bogor. By collecting 76 samples of Islamic bank customers in Bogor and utilizing structural equation modeling partial least square (SEM-PLS) as the technique of analysis, it is revealed that the aspects of religiosity and service quality are influential on loyalty if it is supported by trust. Meanwhile, the trust itself has a positive influence on loyalty. The finding implies that to increase the loyalty of Islamic bank customers, customer trust should be built.

Download Full-text

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

Jurnal Gaussian ◽

10.14710/j.gauss.v7i4.28863 ◽

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%.

Download Full-text

MODEL PREFERENSI KONSUMEN TERHADAP PERBANKAN SYARIAH

JURNAL STIE SEMARANG ◽

10.33747/stiesmg.v12i1.398 ◽

2020 ◽

Vol 12 (1) ◽

pp. 79-95

Author(s):

Purnamie Titisari ◽

Arnis Budi Susanto

Keyword(s):

Decision Making ◽

Structural Equation ◽

Structural Equation Models ◽

Consumer Preferences ◽

Consumer Preference ◽

Government Policies ◽

Islamic Banking ◽

Research Model ◽

Level Of Understanding ◽

Existing Data

This study aims to build a model of consumer preference in choosing Islamic banking. This study uses a comparative study between people's understanding of Islamic banking and conventional banking which is influenced by several factors. The sample in this study amounted to 200 people who had different backgrounds. Existing data were analyzed using Structural equation models (SEM). The research results show that there is a level of understanding and preference of the community towards different Islamic banking which is influenced by several factors developed in this research model. In the next research, it is expected to conduct an assessment of the decision to choose Islamic and conventional banking products that concentrate more on specific products in Islamic banking. In addition, further research is expected to take into account environmental factors and government policies as well as other factors that have not been studied in this study so that it is expected to enrich the knowledge in the field of management, especially consumer preferences and decision making using Islamic banking products

Download Full-text

Value management implementation barriers for sustainable building: a bibliometric analysis and partial least square structural equation modeling

Construction Innovation ◽

10.1108/ci-05-2021-0103 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Ahmed Farouk Kineber ◽

Idris Othman ◽

Ayodeji Emmanuel Oke ◽

Nicholas Chileshe ◽

Tarek Zayed

Keyword(s):

Bibliometric Analysis ◽

Structural Equation ◽

Structural Equation Models ◽

Partial Least Square ◽

Least Square ◽

Primary Data ◽

Equation Modeling ◽

Value Management ◽

Implementation Barriers ◽

Content Type

Purpose The purpose of this paper is to examine the relationship between overcoming the value management (VM) implementation barriers and VM implementation in the Egyptian building sector. Design/methodology/approach A critical review of the literature on VM was used to through bibliometric analysis has been conducted to highlight the studies’ gap and establish the VM barriers. These obstacles were then contextually transformed via a semi-structured interview and a pilot study, and subsequently organized in the form of a theoretical model. The primary data was collected from 335 building stakeholders in Egypt through the administration of questionnaire surveys. Consequently, structural equation models of partial least squares were applied to statistically assess the final model of VM barriers. Findings The bibliometric analysis shows that there is an inadequate study on VM implementation barriers in the Egyptian construction industry and insufficient studies on implementing VM in developing countries. Results obtained from the proposed model showed that overcoming the VM barriers has a major connection with successful VM implementation. This is indicated with the value of ß = 0.743, which is necessary when the firm is overcoming 1 unit of VM barriers. Originality/value This study fills the knowledge gap by identifying and emphasizing the critical obstacles to VM implementation.

Download Full-text

Pengaruh Selebrity Endorsme, Brand Image, dan Testimoni dalam Menigkatkan Minat Beli Produk (Studi Kasus : Instagram UKM Kylafood)

Bahtera Inovasi ◽

10.31629/bi.v4i2.3432 ◽

2021 ◽

Vol 4 (2) ◽

pp. 104-110

Author(s):

Ogi Maulana Firli ◽

Muhamad Rizal ◽

Ria Arifianti ◽

Asmaul Husna

Keyword(s):

Structural Equation ◽

Quantitative Methods ◽

Brand Image ◽

Partial Least Square ◽

Least Square ◽

Equation Modeling ◽

Distribution Data ◽

Research Model ◽

Celebrity Endorsement ◽

Positive Effect

The purpose of this study is to determine the effect of Celebrity Endorsement, Brand Image, and Testimonials on consumer buying interest in Kylafood products on Instagram Social Media. The research methods used in this research are descriptive and quantitative methods. Data analysis techniques and research model submissions use Structural Equation Modeling-Partial Least Square (SEM-PLS) with 95 questionnaire distribution data aimed at people who at least follow one celebrity endorsment on Instagram, know the kylafood brand, know the testimonials of the kylafood brand and intending to buy kylafood products. The results of this study state that the celebrity endorsement and testimonial variables have a significant positive effect on buying interest in Kylafood products on Instagram, while the brand image variable has a positive but not significant effect.

Download Full-text

Examining the Predictors of Mobile Addiction: Some Insights from Malaysia

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i4.38.27539 ◽

2018 ◽

Vol 7 (4.38) ◽

pp. 760

Author(s):

Norazah Mohd Suki ◽

Norbayah Mohd Suki

Keyword(s):

Social Networking ◽

Social Networking Sites ◽

Structural Equation ◽

Partial Least Square ◽

Least Square ◽

Future Research ◽

Research Model ◽

Everyday Activity ◽

Mobile Social Networking ◽

Equation Modelling

This research aims to investigate the predictors of mobile addiction. The data was analyzed using Partial Least Square-Structural Equation Modelling (PLS-SEM) approach supported by Smart-PLS 2.0 to assess the hypothesis in the research model. The PLS-SEM technique revealed that there was a strong correlation between social networking sites (SNS) intensity and mobile addiction. Users have positively expressed that visiting SNS is part of their everyday activity as they tend to check their SNS almost every day. They have this perception that they will feel out of touch when they do not log into their SNS for a day. In addition, they feel as if they are part of the community of SNS on campus. Those with many SNS accounts have a strong tendency to install and use mobile social networking apps on their mobile phones to connect and communicate with others. These heavy users frequently use their mobile phone to log into their social network via preferred social networking apps and actively use it to check the SNS. The direction for future research is also presented.

Download Full-text

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

MEDIA STATISTIKA ◽

10.14710/medstat.14.2.170-182 ◽

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.

Download Full-text