Berbagai permasalahan yang terjadi pada sistem monitoring tangki pendam SPBU dapat menyebabkan tidak efisien dan efektifnya dalam memantau berapa debit dan volume cairan pada tangki pendam SPBU. Dengan demikian, diperlukan sistem monitoring yang dapat terintegrasi dengan perangkat komputer dan internet. Sistem monitoring ini berfungsi memberikan informasi yang terjadi di dalam tangki pendam SPBU. Konsep Internet of Things (IoT) membuat sebuah perangkat dapat berkomunikasi seperti mengirim dan menerima data melalui jaringan internet. Penelitian ini bertujuan untuk merancang sistem monitoring tangki SPBU dengan menggunakan ESP8266, sensor aliran, dan sensor ultrasonik. Aplikasi antarmuka yang digunakan adalah Virtuino dan Thingspeak yang mampu memberikan informasi secara real time kepada pengguna sehingga dapat memantau keadaan secara terus menerus tanpa harus mengecek ke lapangan. Hasil pengujian menunjukkan bahwa sistem mampu memantau dan mengirimkan data volume cairan dengan terus menerus. Dengan sistem ini diharapkan dapat membuat pekerjaan lebih efisien dan efektif untuk pengelola SPBU.
The application of information systems with various types of convenience offered can reflect the quality of service of an organization, the quality of service can be said to be very good if the service meets the needs and expectations of users. This kind of evaluation can be done by applying a tested model but problems arise when latent variables in the method used are not fully able to identify factors that influence user satisfaction. From the results of research using the end user satisfaction model, the R-Square value is 0.653, which means that 65.3% of user satisfaction can be found through latent variables found in the EUCS model while the remaining 34.7% can be explained through external variables. This study aims to analyze external factors outside the EUCS model, one of which is by using the information system quality variables contained in the Delone and Mclane information system success model. The way to do this is to add an external variable to the EUCS model and then analyze the outer model and analyze the structural model using the structural equation model. The results showed that the independent system quality variable has a t-statistic value of 3.445 or greater than t-table 1.96 which means that the external latent variables of the Delone and Mclean model can be used to explain the satisfaction factors (from the external variable side) of the user information system on the EUCS model.
Integration of eucs variables into delone and mclean models for e-government … http://doi.org/10.26594/register.v6i1.1608This research was based on the modification of the DeLone and McLean information systems models by adding end-user computing satisfaction variables to determine the success factors for e-government systems. This model was adopted due to the aim of this study to investigate the factors responsible for the successful implementation of e-government by bringing it closer to public value. However, while the DeLone and McLean models focus more on the information system approach, the model proposed was on the premise that system quality (SQ), information quality (IQ), content (CO) and format (FO) are determinants of e-government system user satisfaction. Furthermore, the net benefits through a five-dimensional public value determinants were used to evaluate e-government websites from a community perspective. Responses from 150 communities were analyzed by smart PLS 3.0 using structural equation models to examine the relationship between the constructs of the proposed model. This study contributes to the research gap in adopting DeLone and McLean's model in the e-government due to the limitation in its validation for different contexts. The results support the effect of content variables on user satisfaction and simultaneously prove that it is possible to explain net benefits, with an r-squared value of 69.1%, using the variables in the proposed model. The five dimensions of public value adopted all proved to have a positive influence with a confidence level of 95%. The level of construct significance identified is able to help in the formulation of strategies to improve e-government services. Keywords: e-Government DeLone and McLean model end-user computing satisfaction Partial Least Squares IEEE style in citing this article: E. Sorongan and Q. Hidayati, "Integration of eucs variables into delone and mclean models for egovernment evaluation: Conceptual models," Register: Jurnal Ilmiah Integration of eucs variables into delone and mclean models for e-government … http://doi.org/10.26594/register.v6i1.1608 Integration of eucs variables into delone and mclean models for e-government … http://doi.org/10.26594/register.v6i1.1608 Integration of eucs variables into delone and mclean models for e-government … http://doi.org/10.26594/register.v6i1.1608 Integration of eucs variables into delone and mclean models for e-government … http://doi.org/10.26594/register.v6i1.1608 Integration of eucs variables into delone and mclean models for e-government … http://doi.org/10.26594/register.v6i1.1608 Integration of eucs variables into delone and mclean models for e-government … http://doi.org/10.26594/register.v6i1.1608 Integration of eucs variables into delone and mclean models for e-government … http://doi.org/10.26594/register.v6i1.1608 Integration of eucs variables into delone and mclean models for e-government … http://doi.org/10.26594/register.v6i1.1608Integration of eucs variables into delone and mclean models f...
<p class="Abstrak">Permasalahan umum pada suatu organisasi berkembang adalah bagaimana mengelola aliran data yang masuk dengan cepat tetapi tetap memperhatikan keakuratan hasil informasinya. Masalah ini sering terjadi terutama pada perusahaan dibidang logistik yang memiliki resiko cukup besar ketika suplai barang dikelola masih menggunakan cara konvensional dengan tingkat kompleksitas tinggi. Tujuan penelitian ini adalah untuk menghasilkan sebuah sistem informasi pendukung keputusan pemilihan gudang sehingga bisa mempersingkat waktu dalam proses pengelolaan barang. Penelitian dilakukan dengan merancang dan mengimplementasikan sebuah sistem informasi pendukung keputusan berdasarkan metode <em>Simple Additive Weighting</em> dalam penentuan gudang tempat penyimpanan barang. Dalam penelitian ini SAW berfungsi untuk melakukan pembobotan berdasarkan kriteria barang sehingga sistem dapat merekomendasikan gudang penyimpanan yang sesuai. Pengkodean sistem menggunakan <em>Single Page Application</em> dengan konsep <em>Model</em>, <em>View</em> dan <em>Controller</em>. Metode seperti ini mampu menghemat <em>bandwith</em> dan sangat cepat ketika diakses karena terdiri atas komponen individual yang dapat diganti atau diperbaharui secara independen, sehingga seluruh halaman tidak perlu dimuat ulang. Penelitian ini mengembangkan metode penjumlahan terbobot yang dikodekan ke dalam bahasa pemrograman dengan menyesuaikan kondisi aliran logistik dan kriteria barang. Kriteria yang digunakan dalam menentukan lokasi penyimpanan barang sesuai dengan jenisnya antara lain, masa penggunaan (C1), daya (C2), jumlah (C3) dan harga (C4) dengan bobot masing-masing sebesar 25%. Hasil penelitian menunjukkan bahwa sistem ini berhasil memberikan rekomendasi gudang tempat penyimpanan barang sesuai dengan jenisnya. Hal ini dibuktikan dengan cara membandingkan hasil antara perhitungan manual dengan proses inputan sistem menggunakan <em>sample </em>yang sama yakni barang elektronik komputer. Perbandingan menunjukkan hasil yang sama yaitu merekomendasikan barang disimpan ke dalam gudang elektronik.</p><p class="Abstrak"> </p><p class="Abstrak"><em><strong>Abstract</strong></em></p><p class="Abstrak"><em>A common problem in a developing organization is how to manage the incoming data flow quickly but still pay attention to the accuracy of the results of the information. This problem often occurs especially in organizations or companies in the field of logistics that have a significant risk when the supply of goods is managed using conventional methods with a high level of complexity. The purpose of this study is to produce an information system supporting warehouse selection decisions so as to shorten the time in the process of managing goods. The study was conducted by designing and implementing a decision support information system based on the Simple Additive Weighting method in determining the warehouse where the goods are stored. In this study SAW functions to do weighting based on the criteria of goods so that the system can recommend an appropriate warehouse</em><em>. The coding system uses Single Page Application with the concept of Model, View and Controller. This method saves bandwidth and is very fast when accessed because it consists of individual components that can be replaced or updated independently, so that the whole page does not need to be reloaded. This research develops a weighted sum method coded into a programming language by adjusting logistical flow conditions and item criteria. The</em><em> criteria used in determining the location of storage of goods according to their types include, period of use (C1), power (C2), amount (C3) and price (C4) with a weight of 25% each. The results showed that this system succeeded in providing recommendations for warehouse storage of goods according to its type. This is evidenced by comparing the results between manual calculations with the input system using the same sample of computer electronic goods. The comparison shows the same results, namely recommending the goods to be stored in an electronic warehouse.</em><em></em></p><p class="Abstrak"><em><strong><br /></strong></em></p>
This research intends to analyze and test variables that influence implementation E-government, especially in Balikpapan city. The study uses the information system success model DeLone and McLean which has six main variables that can be used to measure the success rate of information systems. Variables that support the success of e-government that support this research include system quality and information quality as exogenous variables. Furthermore, the use and user satisfaction variables are endogenous variables that also affect the net benefits variable. Based on previous research, service quality variables have not been proven to affect endogenous variables, so the researchers omit these variables. Data collection is done by distributing questionnaires to users of e-government services in Balikpapan City as many as 100 respondents. Data processing methods with Structural Equation Modeling (SEM) using the Smart PLS 3.0 approach. This research proves the R-square value of the dependent variable user satisfaction is 62%, and the net benefit variable is 59.1%, which means that the dependent variable can be explained through independent variables in this research model. Based on the findings in the study, it shows that the quality of the system has an effect on user satisfaction but has no impact on use.
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