Refining DeLone and McLean's (D&M) information system model and technology-organisationenvironment (TOE) framework, this research identifies the prominent factors that determine ERP system success. Hypotheses are also drawn based on supporting theories to evaluate the causal relationship between the success determinants. The level of achievement is measured by system quality, information quality, service quality, external quality and top management support, which intermediated by perceived usefulness and user satisfaction towards business benefits. To provide empirical evidence, 86 valid samples out of 156 were collected using a web survey that targeted ERP users in Indonesia. Furthermore, Partial Least Squares-Structural Equation Modelling (PLS-SEM) algorithm were applied to check the proposed hypotheses. The results suggest system quality, information quality and service quality significantly affect user satisfaction, whereas they moderately impact on perceived usefulness. Interestingly, external pressures were reported as being the biggest influence on user satisfaction and positively impacted on perceived usefulness. Despite being fairly predictive to perceived usefulness, top management support along with general perceptual factors ultimately promote system success by elevating business benefits.
Lecture attendance data at universities is a reference in showing the credibility of each student used by lecturers as data for student grades as well as an evaluation material for the success of teaching and learning activities in lectures, but there are several examples of cases related to student attendance data currently prevalent in the world of education or lectures is the phenomenon of "Leave Absence" or better known as TA. In addition, other problems also arise from lecturers and administrative staff, namely difficulties in monitoring student attendance and efforts to validate attendance data because of the large amount of student data. Therefore in this study a system was proposed to reduce the level of fraud in filling the attendance list and effectiveness of student data processing using a system of applying the concept of the Internet of Things (IoT) with the fingerprint presence method. Existing system modeling results are expected to be able to support the service of processing academic data automatically and produce accurate and accurate statistical data and be able to reduce data manipulation factors from irresponsible parties.
The advancement in sustainable construction has stimulated wide-ranging investigation of construction materials and practices globally. With exceptional thermal properties, fire resistance performance, excellent strength, and outstanding durability, concrete is the utmost extensively utilized construction material around the world. Taking into consideration the quantity of concrete necessary for numerous constructions works, improving concrete sustainability would be an extremely attractive potential. Lightweight foamed concrete (LFC) is tremendously permeable, and its mechanical properties weaken with a growth in the volume of voids. Air-void segregation from solid cement phases by means of aging, drainage, and merging of voids can trigger and reduce the stability and consistency of the emitted pores, making the LFC less reliable for main utilization in load-bearing components and structural elements. In turn, to augment LFC mechanical properties, the LFC cementitious matrix can be adjusted by adding various nanoparticles. The influence of magnetite nanoparticles (MNP) in LFC was not examined in the past; hence, there is some vagueness considering the mechanism to which level the MNP can affect the LFC mechanical properties. Thus, the aim of this study is to investigate the influences of MNP on the compressive, splitting tensile, and flexural LFC of 1000 kg/m3 density. Six MNP weight fractions of 0.10%, 0.15%, 0.20%, 0.25%, 0.30%, and 0.35% were considered. The parameters accessed were compressive, splitting tensile and flexural strengths. The correlation between strength parameters was established as well. The results indicated that a 0.25% weight fraction of MNP gave the best performance in terms of compressive, flexural, and splitting tensile strengths. The presence of MNP in the LFC matrix enhances the viscosity and yield stress of the mixture as well as an augmented utilization of LFC cementitious binder content, which can sustain the integrity of the wet networks hence preventing further amalgamation and aging of the voids.
Refining DeLone and McLean's (D&M) information system model and technology-organisationenvironment (TOE) framework, this research identifies the prominent factors that determine ERP system success. Hypotheses are also drawn based on supporting theories to evaluate the causal relationship between the success determinants. The level of achievement is measured by system quality, information quality, service quality, external quality and top management support, which intermediated by perceived usefulness and user satisfaction towards business benefits. To provide empirical evidence, 86 valid samples out of 156 were collected using a web survey that targeted ERP users in Indonesia. Furthermore, Partial Least Squares-Structural Equation Modelling (PLS-SEM) algorithm were applied to check the proposed hypotheses. The results suggest system quality, information quality and service quality significantly affect user satisfaction, whereas they moderately impact on perceived usefulness. Interestingly, external pressures were reported as being the biggest influence on user satisfaction and positively impacted on perceived usefulness. Despite being fairly predictive to perceived usefulness, top management support along with general perceptual factors ultimately promote system success by elevating business benefits.
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