The purpose of this evaluation is to evaluate user acceptance of the Glovia ERP system, whichever embedded in PC to assist operator staffs to record material stocks. The research methodology used in this study is the UTAUT model adjusted for the research problem's conditions. The issue happens because the Staff feel more comfortable with the old procedure and think it has supported their performance well. The respondents, as the sample in this study, are the staff operator from the MRP division. Data analysis is done using Partial Least Squares—the result of the research state that the Performance Expectancy variable has a significant effect on the Behavioral Intention variable. On the contrary, the other variables do not significantly affect the Behavioral Intention variable. The behavioral Intention variable has an R square value of 0.352 percent, which states that four independent variables can explain 35.2% of the Behavioral Intention variable. From the test results, it is suggested that the MRP division of PT can use the recommendations. Xacti Indonesia, as a consideration that can be used to improve the system currently applied.
The contribution of fisheries to the national GDP had increased from 2.32% in 2014 to 2.60% in 2018. However, in 2020, the threat of the Covid-19 pandemic emerged, which hit all sectors of the economy, including the fisheries sector. Many communities, especially coastal fishing communities, are complaining about economic hardship. Income has fallen dramatically because people’s purchasing power has fallen significantly. Based on these problems, this research was conducted to build a fishers’ income prediction model. This research took a case study on fishers in Karanggongso District Trenggalek by surveying 50 fishing households. There were 12 predictors variables, namely Boat Type (X1), Price Boat (X2), Age of the Boat (X3), Boat Power (X4), Machine Price (X5), Engine Life (X6), Fishing Equipment Price (X7), Fishing Gear Life (X8), Cool Box (X9), Trip/week (X10), Average Hours/trip (X11), and Total Expenditures/week (X12). The response variable is Income Per Week (Y). Data analysis was done by using multiple linear regression analysis and flexible modelling with a machine learning approach. Based on the results of the analysis, a multiple linear regression model had an accuracy level of R
2 = 70.5% and MSE = 1.086 × 1018 with the boat price was the most dominant influence on fishers’ income. While flexible modelling has an accuracy level of R
2 = 85.2% and MSE = 3.308 × 1014. From this research, it was proven that the flexible model had a higher level of accuracy than the linear regression model. Also, the flexible model obtained the nonlinear effect on the number of cool boxes and the fishing gear life.
The spread of COVID-19, apart from being influenced by specific pathogenic factors, is also influenced by population structure and mobility. This study was conducted to develop a forecasting model for the increase in COVID-19 cases due to variations in the holiday calendar and the sun's distance to the earth. This study uses secondary data taken from the East Java Provincial Health Office in collaboration with the East Java Province COVID-19 Task Force. This study uses two independent variables: the Calendar Variation in 2020 and 2021 (X1); The Sun-Earth Distance (X2) and dependent variable (Y) is the Daily Case of COVID-19 in East Java Province from March 2020 to June 2021. The process of data analysis is carried out by analyzing time series data and building a forecasting model with a symbolic time series prognosis approach. The analysis process is carried out using Heuristic Lab 3.3 software. Based on the results of this study, it can be concluded that variations in the holiday calendar and the sun-earth distance have a strong influence on daily cases of COVID-19. The symbolic time series prognosis model obtained has an accuracy rate of up to 90.04% on training data and 82.14% on testing data.
<em>Belum pernah dilakukan evaluasi terhadap website Dinas Pendidikan juga menjadi salah satu permasalahan dalam penelitian ini. Tujuan dilakukan evaluasi adalah untuk mengetahui kualitas </em>usability<em>, </em>information quality<em>, dan </em>service interaction quality<em> pada website Dinas Pendidikan Kabupaten Pasuruan. Sampel yang digunakan sebesar 100 responden dari populasi pengguna </em>website<em>, dengan teknik sampling </em>simple random sampling<em>. Pengumpulan data diperoleh dari penyebaran kuesioner</em><em>, kemudian dianalisis menggunakan statistik deskriptif dan </em>importance performance analysis<em>. Hasil statistik deskriptif bahwa ketiga variabel tersebut masuk dalam kategori tinggi. Hasil nilai </em><em>kesenjangan variabel </em>usability<em> didapatkan -0.35, </em>information quality<em> sebesar -0.32, dan </em>service interaction quality<em> sebesar -0.36. Berdasarkan hal tersebut </em>website<em> belum memenuhi kualitas ideal yang diinginkan pengguna. Indikator yang perlu dilakukan perbaikan adalah desain warna </em>website<em> nyaman dilihat, jenis dan ukuran huruf mudah dibaca, warna </em>background<em> kontras dengan warna huruf, informasi </em>up-to-date<em>, informasi bermanfaat untuk pengguna, kemudahan berkomunikasi dengan organisasi, dan kecepatan merespon dan memberikan tanggapan.</em>
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