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 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 Structural Equation Modeling-Partial Least Square for Poverty Modeling in Papua Province

Jurnal Varian ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 79-90
Author(s):  
Wirajaya Kusuma ◽  
Rifani Nur Sindy Setiawan ◽  
Kirti Verma ◽  
Carina Firstca Utomo
Keyword(s):  
Structural Equation Modeling ◽  
Latent Variables ◽  
Structural Equation ◽  
Poverty Rate ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Path Coefficient ◽  
Path Coefficients ◽  
Health Variable

Poverty in Papua Province in 2018 has increased from the previous year. The poverty rate in Papua Province in March 2018 reached 27,74%. This study aims to analyze the factors that influence it so that it can be handled properly. The research method used in this research is Structural Equation Modeling (SEM) with the Partial Least Squares (PLS) approach. The research variables used consisted of 4 latent variables (Poverty, Economy, Human Resources (HR), and Health) with 16 indicators (manifest variables). Based on the analysis that has been done, it is found that economic and health variables have a negative and significant effect on poverty with path coefficients of -0,421 and -0,270, respectively. The health variable has a positive and significant effect on HR with a path coefficient of 0,496. Meanwhile, the HR variable has a positive and significant effect on the economy with a path coefficient of 0,801. It can be concluded that there are two variables that have a significant effect on poverty in Papua Province, including the economy and health.

scholarly journals Self Efficacy on Work at Government Agencies in Bandung, Indonesia

2017 ◽  
Vol 6 (6) ◽  
pp. 1-8
Author(s):  
Senen Machmud
Keyword(s):  
Job Satisfaction ◽  
Self Efficacy ◽  
Structural Equation ◽  
Sampling Technique ◽  
Positive Influence ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Government Agencies ◽  
High Level

This study aims to determine the effect of self-efficacy towards work perception and job satisfaction. The population of this study is the employees of government agencies in Bandung, Indonesia. The total samples are 117 employees with purposive sampling technique. This study uses Partial Least Square-Structural Equation Modeling (SEM) for analyzing the data. The results showed that self-efficacy significantly influences the work perception and job satisfaction. Moreover, it is found that work perception has a significant effect on job satisfaction. It shows that the level of self-efficacy can increase the work perception and job satisfaction. It indicates that the high level of self-efficacy will be a positive influence on the behavior of employees in conducting their duties so that it can increase their job satisfaction.

scholarly journals Kajian Faktor-Faktor yang Mempengaruhi Kepuasan Konsumen Bus Trans Metro Bandung Menggunakan Metode Structural Equation Modeling - Partial Least Square (Studi Kasus pada TMB koridor 3 Cicaheum Cibeureum)

2021 ◽  
Vol 28 (1) ◽  
pp. 107-116
Author(s):  
Dwi Prasetyanto ◽  
Andrean Maulana ◽  
Muhammad Rizki ◽  
Made Devina Parantina
Keyword(s):  
Structural Equation Modeling ◽  
Customer Satisfaction ◽  
Structural Equation ◽  
Arrival Time ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Significant Variable ◽  
Inner Model ◽  
Pls Method

Abstrak Sarana angkutan umum massal yang beroperasi di Kota Bandung salah satunya adalah Bus Trans Metro Bandung (TMB) koridor 3, rute Cicaheum-Sarijadi. Pelayanan Bus TMB tersebut harus memenuhi kepuasan penggunanya, tetapi saat ini kepuasan pengguna Bus TMB dirasa kurang khususnya dalam hal kualitas pelayanan. Penelitian ini bertujuan untuk menganalisis faktor-faktor yang mempengaruhi kepuasan penggunanya menggunakan metode Structural Equation Modeling-Partial Least Square (SEM-PLS). Pengujian model SEM-PLS dibagi menjadi 2 yaitu outer model (model pengukuran) dan inner model (model struktural). Hasil analisis yang telah dilakukan menemukan bahwa faktor-faktor yang mempengaruhi kepuasan konsumen Bus TMB yaitu variabel reliability (waktu kedatangan bus) dan variabel tangibles (kebersihan interior, tempat duduk, dan jendela bus), variabel assurance (keramahan dan kesopanan petugas dalam memberikan pelayanan), variabel responsiveness (transaksi yang dilayani atau dilaksanakan dengan cepat dan tepat) dan variabel emphaty (kepedulian petugas untuk mengingatkan penumpang yang akan turun). Adapun dari kelima variabel, variabel yang paling signifikan terhadap kepuasan konsumen adalah dimensi reliability (waktu kedatangan bus sesuai jadwal). Kata Kunci: Kepuasan konsumen; metode SEM-PLS; reliability Abstract One of the mass public transportation facilities in Bandung city is Trans Metro Bandung (TMB) Bus, which is operating in corridor 3, Cicaheum-Sarijadi route. The TMB Bus service must fulfill the satisfaction of its users, but currently the satisfaction of TMB Bus users is felt to be lacking, especially in terms of service quality. This study aims to analyze the factors that influence user's satisfaction using the Structural Equation Modeling-Partial Least Square (SEM-PLS) method. SEM-PLS model is divided into 2 model, outer model (measurement model) and inner model (structural model). The analysis found that the factors that affect customer satisfaction of TMB are the reliability variable (bus arrival time) and tangibles variables (interior cleanliness, seats and bus windows), the assurance variable (friendliness and courtesy of the officers in providing services) , the responsiveness variable (transactions that are served or executed quickly and accurately) and the emphaty variable (the officer's concern to remind passengers to get off). Among the five variables, the dimension of reliability (bus arrival time according to schedule)is the most significant variable that influenced customer satisfaction. Key words: Customer satisfaction; SEM-PLS method; reliability

scholarly journals Application of partial least square health status of children under 5 years in indonesia

2018 ◽  
Author(s):  
Alinea Elisanti
Keyword(s):  
Health Status ◽  
Latent Variables ◽  
Structural Equation ◽  
Health Indicators ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Antenatal Visit ◽  
Antenatal Visits ◽  
Children Under 5

Health status of child under 5 years was one of the main public health indicators in a country. Health status of childunder 5 years was diffi cult to be directly measured, thus require indicators to describe. The indicators were direct,intermediate and underlying factor. Previous research showed Structural Equation Modeling (SEM) was helpfulto examine the infl uence within indicator and got better model than other multivariate analysis. This Study wasconducted to select the direct factor (ANC, INC and PNC) that infl uence health status of children under 5 yearsin Indonesia and mapping the nutrition signifi cant indicators. This study was un-obstructive method, composed of4 latent variables and 22 indicators using SEM varians based (Partial Least Square). Secondary data were takenfrom the Riskesdas 2010 reports, by the sampel all provinces in Indonesia. Data were analyzed by R programsand Arch View GIS 3.3. There were 14 indicators signifi cantly affect health status of children under 5 years, therewere no fi rst antenatal visits (K1), no antenatal visits four times (K4), not get FE 3 times (FE-3), examination ofpregnancy to the traditional healer (ANC Dukun), not check for pregnancy, no antenatal visit to the professionalhealth worker, not labor operations (SC), home deliveries, toddlers are not getting the vitamins A, toddler was notweighed, toddlers consume less calories, less protein consumption toddlers, infants of low birth weight and infantswith malnutrition. It was suggested to improve health service focused on the signifi cant indicators.

scholarly journals Analysis of Millennial Generation Behavior in Consuming Halal Products: Structural Equation Model-Partial Least Square (SEM-PLS) Method

2019 ◽  
Vol 12 (2) ◽  
pp. 266
Author(s):  
Ahmad Zaenal Arifin ◽  
Annisa Nur Salam
Keyword(s):  
Structural Equation Modeling ◽  
Millennial Generation ◽  
Structural Equation ◽  
Equation Model ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Business Opportunity ◽  
Digital Era ◽  
Pls Method

<pre> </pre><pre><em>The elevated demand of Muslim consumers for halal products is a business opportunity for producers or companies. So that attention to consumer behavior of halal products is part of market valuation that is important for achieving success in the halal industry. Meanwhile, the millennial generation will have an influence in determining the trend of product use especially since entering the digital era. So it is important to conduct further studies on the behavior of the millennial generation in consuming halal products. This research was conducted by collecting data through distributing questionnaires to 100 respondents classified as millennial generation. Then the data collected is processed with Structural Equation Modeling-Partial Least Square (SEM-PLS) and gives conclusion that the interest of millennial generation in buying halal products is influenced by Islamic branding and individual religiosity factors. While the satisfaction of the millennial generation in consuming halal products is influenced by the price factor of these products, Islamic branding and religiosity factors. Furthermore, Islamic branding indirectly influences the buying interest and satisfaction of the millennial generation in consuming halal products through a variable mediating religiosity. Therefore, Islamic branding is an urgent matter that must be fulfilled for companies that have a focus on the development of halal industrial.</em></pre><pre><em> </em></pre>

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMENGARUHI PRESTASI MAHASISWA DI PERGURUAN TINGGI

2018 ◽  
Vol 32 (2) ◽  
pp. 153-163
Author(s):  
Rahardian Okta Pratama ◽  
Lindawati Kartika ◽  
Andita Sayekti
Keyword(s):  
Student Achievement ◽  
Structural Equation ◽  
Descriptive Analysis ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Assessment Score ◽  
Net Promoter Score ◽  
Student Achievements ◽  
Net Promoter

IPB is consistently becoming the Top 4 Best Universities based on the result of The Ministry of Research and Higher-Education Assessment Score for three years. Meanwhile, IPB still has the lowest assessment score on student affairs among other three universities. One of the significant components is the student achievements. This research aim (1) to identify the characteristics of the excellent students, (2) to analyze the perceptions about factors that significantly affect student achievement and student achievement itself, (3) to analyze the factors that significantly affect student achievement and student achievement itself, (4) to determine the result of Net Promoter Score of alumni to IPB. This research focused on a case of Department of Management Alumni Graduates of 2009 - 2013 FEM IPB that was conducted in Bogor Agricultural University from January to April 2018. This research used both primary and secondary data. The data analysis of this research was conducted by descriptive analysis, SEM-PLS, and Net Promoter Score. This research resulted that the environmental, physiological, psychological and instrumental factors had a t-statistic as orderly followed by 2.053, 2.031, 2.701, 0.033, whereas these factors were concluded to significantly affect the students` achievement.   References BAN-PT. (2008). Naskah akademik akreditasi program studi sarjana. Jakarta: Kemenag. Ditmawa. (2017). Panduan mahasiswa berprestasi Institut Pertanian Bogor. Bogor: Direktorat Kemahasiswaan IPB. Ghozali, I. (2014). Structural equation modeling metode alternatif dengan partial least square (PLS). Semarang: Badan Penerbit UNDIP. Kemenristekdikti. (2017). Pedoman pemilihan mahasiswa berprestasi program sarjana. Jakarta: KementerianRiset dan Pendidikan Tinggi Indonesia. Lemeshow, S., Hosmer, DW., Klarr, J., & Lwanga, S.K. (1990). Adequacy of sample size. Chichester: John Wiley & Sons Ltd. Mailhot, B., & Feeney, S.L. (2017). Perceived parental involvement and academic achievment of college students: The mediating role of academic self-concept. North American Journal of Psychology, 19(3), 685-708. Mirnawati, L. B., & Pribowo, F. S. (2017). Penerapan model pembelajaran SAVI untuk meningkatkan kemampuan berbicara mahasiswa PGSD FKIP Universitas Muhammadiyah Surabaya. Jurnal Pendidikan dan Pembelajaran Sekolah Dasar, 1(2), 144-152. Parma, G. P. (2014). Softskill development sebagai konsep dalam kegiatan pengembangan program kemahasiswaan (studi pemetaan dan analisis program kemahasiswaan fakultas ekonomi dan bisnis). Seminar Nasional Riset Inovatif, 2, 285-292. Purba, M. (2009). Analisis pengaruh kualitas pelayanan terhadap prestasi akademik mahasiswa perguruan tinggi X. Skripsi. Bogor: Institut Pertanian Bogor. Purwanto, N. (2013). Psikologi pendidikan. Bandung: Remaja Rosdakarya. Putri, K. P. (2014). Analisis faktor eksternal dan internal yang memengaruhi prestasi mahasiswa (studi kasus alumni program sarjana manajemen FEM IPB. Skripsi. Bogor: Institut Pertanian Bogor. Monkey, S. (2017). Mengenal net promoter score. Diakses dari https://www.surveymonkey .com/ mp/mengenal-net-promoter-score pada tanggal 1 November 2017. Tambunan, H. (2011). Desain dan pengembangan model pembelajaran berbasis softskill. Jurnal Pendidikan Teknologi dan Kejuruan. 13(1), 8-14.

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