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Journal : Jurnal TAM (Technology Acceptance Model)

CONTENT BASED IMAGE RETRIEVAL METHOD WITH DISCRETE COSINE FEATURE EXTRACTION IN NATURAL IMAGES Muhammad Galih Ramaputra; Suhendro Yusuf Irianto; Sri Karnila
Jurnal TAM (Technology Acceptance Model) Vol 12, No 2 (2021): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v12i2.1092

Abstract

Data or information at this time is not only presented in written form, but also in the form of images that require greater storage. Most of the images in the digital world use the JPEG format, where the Discrete Cosine Transform is the heart of the JPEG format, the use of DCT coefficients for indexing and image retrieval causes the retrieving process to be slower because more coefficients are processed compared to the DC coefficient method, which is only 1 /64 (1 DC coefficient) of the DCT coefficient. In this research, we perform Content Based Image Retrieval with DC feature extraction of 15,000 natural images, then calculate the distance between the images using the Manhattan Distance method. The final result of calculating precision and recall shows a value of 0.6624 and a time of less than 2 seconds, with a maximum value of 1.876 seconds.
MEASUREMENT OF ELECTRONIC LEARNING PERFORMANCE USING THE TECHNOLOGY ACCEPTANCE MODEL (TAM) METHOD AT THE VOCATIONAL SCHOOL OF PATRIA GADINGREJO Eko Hendrawan; Suhendro Yusuf Irianto; Fitria Fitria
Jurnal TAM (Technology Acceptance Model) Vol 12, No 1 (2021): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v12i1.1029

Abstract

The application of electronic learning is carried out in the learning process at Patria Gadingrejo Vocational School to determine the factors that are still weak or require improvement and the factors that are considered successful or strong in assisting the application of electronic learning in the learning process. This study results in Aydin and Tasci's ELR model questionnaire consisting of 37 statements grouped into four factors. These factors are human, self-development, technology, and innovation as well as six questions for the perception of the usefulness of electronic learning. The location of this research is at Patria Gadingrejo Vocational School. Respondents in this study were the principal, vice principal of the curriculum section, the school treasurer, the person in charge of the school computer laboratory, and teachers who are experts in e-learning. Data processing is carried out to examine the factors that influence the perceived usefulness of e-learning by using regression analysis and also the level of readiness for the application of electronic learning at Patria Gadingrejo Vocational School with Aydin and Tasci's ELR model. Aydin & Tasci's electronic learning readiness (ELR) model applied to Patria Gadingrejo Vocational School gives results that are not ready for the application of electronic learning and requires a slight improvement.
MONITORING LAND SURFACE CONDITION TOWARD PESAWARAN DISTRICT USING WATERSHED SEGMENTATION METHOD Ida Ayu Puspita Sari; Suhendro Yusuf Irianto
Jurnal TAM (Technology Acceptance Model) Vol 11, No 2 (2020): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research will produce a segmentation using watershed segmentation. This method will be used to segment the aerial image of an area in Pesawaran district. The image of Pesawaran district that will be taken is an image for the past 5 years, more precisely the image from 2015-2019. The accuracy of this experiment will be tested using a method called ROC (receiver operational characteristics) and studying the changes in the land surface from year to year using watershed segmentation, then the image will change into a color pattern that represents each area such as forest areas and human settlements.