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Journal : PUBLIDIMAS

Pelatihan Pembelajaran Rancang Bangun Aplikasi Metode Segmentasi Dengan Thresholding Rosnelly, Rika; Wahyuni, Linda; Hardianto, Hardianto; Akbar, Muhammad Barkah; Daifiria; Subhan, Zhafira Nur
Publikasi Pengabdian Masyarakat Vol 4 No 1 (2024): PUBLIDIMAS Vol. 4 No. 1 MEI 2024
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/publidimas.v4i1.345

Abstract

Image processing technology has attracted human attention to be studied so that it has become a science that can be accepted and understood in everyday life. An image is a representation, likeness, or imitation of an object. The output of a data recording system can be a photo, an optical signal such as a photo, an analog signal such as an image on a TV monitor, or a digital signal that can be stored directly on storage media. One of the processes in image processing (image preprocessing). One image segmentation technique is thresholding, which uses differences in brightness or darkness to distinguish objects from the background. Thresholding is based on groupings in the histogram according to certain backgrounds or objects that can be extracted by separating the groups of the histogram. Otsu thresholding is used in a variety of applications ranging from medical imaging to low-level computer vision. The Otsu method takes an approach, namely discriminant analysis, namely determining a variable that can divide foreground and background objects. This training provides excellent benefits for students in understanding objects for applying thresholding segmentation.
Peningkatan Efisiensi Operasional WAZ-8 Laundry Melalui Pelatihan Pengelolaan Data dan Keuangan Menggunakan Microsoft Excel Thanri, Yan Yang; Riza, Bob Subhan; Iriani, Juli; Subhan, Zhafira Nur; Zaidi, Luthfi
Publikasi Pengabdian Masyarakat Vol 4 No 2 (2024): PUBLIDIMAS Vol. 4 No. 2 NOVEMBER 2024
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/publidimas.v4i2.402

Abstract

Improving operational efficiency in laundry businesses greatly depends on effective data and financial management. WAZ-8 Laundry, a growing laundry business, faces challenges in managing transaction data and finances, which are still performed manually and ineffectively. Therefore, a training program on data and financial management using Microsoft Excel was organized to enhance operational efficiency and service quality provided to customers. This training aimed to equip WAZ-8 Laundry staff with the skills to manage transaction data, financial records, and operational reports effectively using Microsoft Excel. The training covered basic Excel techniques, table creation, data processing, the use of financial formulas, as well as financial report generation and data analysis for more accurate decision-making. By leveraging Excel features such as pivot tables, charts, and formulas, participants were expected to speed up the process of financial record-keeping and analysis, thereby identifying business trends and making better plans. The training employed a hands-on approach, with participants simulating data management and financial report generation in Excel. In addition, participants were also educated on the importance of accurate and structured data management to support better decision-making in laundry operations. Evaluation results indicated that most participants showed improved understanding of Excel usage, especially in financial report creation and transaction data analysis. Evaluation was conducted through pre-tests and post-tests, along with observation during the training. Post-test results showed an average score improvement of approximately 80%, reflecting better understanding of data and financial management. Participants also demonstrated improved abilities in operating Excel features such as pivot tables and financial formulas, which were previously less understood. Therefore, this training provides a significant impact on improving the operational performance of WAZ-8 Laundry, particularly in more efficient and effective data and financial management, ultimately supporting the business's growth.