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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) International Journal of Pedagogy and Learning Community (IJPLC)
Azizi Abdullah
Universiti Kebangsaan Malaysia
Computer Science & IT Education Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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Road crack detection using adaptive multi resolution thresholding techniques Zuraini Othman; Azizi Abdullah; Fauziah Kasmin; Sharifah Sakinah Syed Ahmad
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 4: August 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i4.12755

Abstract

Machine vision is very important for ensuring the success of intelligent transportation systems, particularly in the area of road maintenance. For this reason, many studies had been focusing on automatic image-based crack detection as a replacement for manual inspection that had depended on the specialist’s knowledge and expertise. In the image processing technique, the pre-processing and edge detection stages are important for filtering out noises and in enhancing the quality of the edges in the image. Since threshold is one of the powerful methods used in the edge detection of an image, we have therefore proposed a modified Otsu-Canny Edge Detection Algorithm in the selection of the two threshold values as well as implemented a multi-resolution level fixed partitioning method in the analysis of the global and local threshold values of the image. This is then followed by a statistical measure in selecting the edge image with the best global threshold. This study had utilized the road crack image dataset that were obtained from Crackforest. The results had revealed the proposed method to not only perform better than the conventional Canny edge detection method but had also shown the maximum value derived from the local threshold of 5x5 partitioned image outperforming the other partitioned scales.
Validity of Kirkpatrick Evaluation Model Instrument for Drug Prevention Education Programs in Primary School Ahmad Jazimin Jusoh; Nazre Abdul Rashid; Raja Jamilah Raja Yusof; Suzaily Wahab; Azizi Abdullah; Durrah Athirah Walid
International Journal of Pedagogy and Learning Community (IJPLC) Vol. 1 No. 2 (2024): International Journal of Pedagogy and Learning Community (IJPLC)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/6

Abstract

One of the evaluation models generally used in prevention programs is the Kirkpatrick evaluation. The model is used to escort the evaluation program closer to its effectiveness. Kirkpatrick's framework consists of four levels: reaction, learning, behaviour, and result. The purpose of the current research was to assess the validity of the Kirkpatrick evaluation model instrument for drug prevention programs in primary school students in Malaysia. This study used a survey research design by involving 692 primary school students in Malaysia. Three procedures were used to analyse the data in this research, namely Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA) and Cronbach Alpha. EFA revealed the structure of the Kirkpatrick evaluation model which the reaction level has 12 items, the learning level has 8 items, the behaviour level has 6 items, and the result level has 6 items. At the same time, the CFA results showed that the model fit indices established a four-factor structure. Finally, the evaluation model has Cronbach's alpha value of .952, which exceeds the standard (.70 or above). It can be concluded that the Kirkpatrick evaluation model instrument was acceptable and reliable to assess the level of drug prevention programs among primary school students in Malaysia.
Co-Authors Ahmad Jazimin Jusoh Durrah Athirah Walid Fauziah Kasmin Nazre Abdul Rashid Raja Jamilah Raja Yusof Sharifah Sakinah Syed Ahmad Suzaily Wahab Zuraini Othman