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Journal : bit-tech

Model Design of Performance Improvement Strategy of Private Higher Education Using Analytic Hierarchy Process (AHP) Method and Mutivariate Data Analysis (MDA) Sri Hartati; Kenny Puspita Sari; Satria Abadi
bit-Tech Vol. 1 No. 2 (2018): Data and Information Quality
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (846.762 KB) | DOI: 10.32877/bt.v1i2.33

Abstract

The development of the number of Private Universities in Indonesia requires Private Universities to have good Performance and Quality. Private Universities must apply a new angle of thinking that contains elements of flexibility, speed, innovation, and integration. Flexibility, speed, innovation and integration really need human resources full of creativity. Creativity can arise from human resources who have excellence in science. Thus, Private Universities is expected to not only be able to produce the best graduates, but also be able to develop two things contained in the Tri Dharma of higher education, namely researching the results of high-quality research and developing technology for community service. For that Private Universities must always be able to adapt, develop and make improvements through organizational learning. This study aims to determine the strategy model for improving performance using a combination of AHP (Analytical Hierarchy Process) and Multivariate Data Analysis (MDA) methods. The sample of this research is management that manages Private Universities (Private Universities leaders) from several Private Universities in the Province of Lamping. AHP (Analytical Hierarchy Process) method is an analytical tool that can be used to make decisions on conditions with complex factors, especially if the decision is subjective. While the Multivariate Data Analysis (MDA) method refers to the statistical technique used to analyze data that appears from more than one variable. The results of this study indicate that there is a significant effect. Organizational Learning Factors, External Environment, Reputation, Competence, Professionalism, and Performance have a significant effect on Private Private Universities Performance. These criteria and sub-criteria are used as references for Private Universities management as a strategy to improve Private Universities performance in Lampung Province. This is basically a model of reality where each decision involves more than one single variable. This research is important to determine the best model in Private Universities Performance Improvement strategies. The results of this study contributed to the decision maker or management of Private Universities as a reference material in the member policies in improving the Performance of Private Universities
QR Code-Based Information System Designed to Display Irrigation Unit Data Elisabet Yunaeti Anggraeni; Sri Hartati; Dedi Murwanto
bit-Tech Vol. 7 No. 3 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v7i3.2165

Abstract

The management and maintenance of irrigation unit data are still conducted manually, leading to inefficiencies in record-keeping, data retrieval, and asset monitoring. The absence of a structured digital system makes it difficult to track the location, specifications, history, and condition of irrigation units, which affects operational efficiency. To address this issue, a QR Code-based information system was developed to provide quick and accurate access to irrigation unit data. This system was developed using the System Development Life Cycle (SDLC) methodology with the Waterfall model, ensuring a structured and systematic approach in each development phase, including analysis, design, implementation, testing, and maintenance. Various software tools such as Sublime Text 3, XAMPP Control Panel v3.2.2, and Google Chrome were used to support system development, while QR Code scanning was integrated through mobile devices for ease of access. The system was tested using the black box method to evaluate its functionality and performance. The results showed that the system effectively displays irrigation unit information through QR Code scanning. The maximum readable QR Code size is 10 cm² with an optimal scanning distance of up to 50 cm. The system functions reliably under various lighting conditions, except when the QR Code is significantly folded or scratched, which affects readability. This research demonstrates that a QR Code-based information system can improve efficiency in irrigation unit management by providing real-time, accessible, and structured data. Future enhancements may include additional features such as location mapping and automated reporting for maintenance and issue tracking.