Development of Integrated Web Application for Fishery Trading in Indonesia

Delimayanti, Mera Kartika; Lestari, Utami Puji; Prastiwinarti, Wiwi; Ryanari, Rinaldito A.; Prasetyo, Raditya A.; Ismail, M. Khairuddin

doi:10.1109/icitisee57756.2022.10057770

Cited by 2 publications

(2 citation statements)

References 18 publications

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“…This is attributed to the region's abundant rainfall and favorable climatic conditions, which facilitate the development of various agricultural activities (Abdulkadir et al, 2012;Kasryno, 1992;Kifli et al, 2021;Manwan et al, 1992). Similarly, the fisheries and marine sector can be explored in the context of Indonesia, which holds the distinction of being the biggest archipelago globally and possesses abundant marine and aquatic natural resources (Delimayanti et al, 2022;Sari & Muslimah, 2020;Sinansari & Priono, 2019).…”

Section: Resultsmentioning

confidence: 99%

COVID-19 pandemic and population density problem in Indonesia: transmigration policy as an alternative program

Saleh,

Khadafi,

Nurmandi

et al. 2023

otoritas

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The objective of this study is to examine the associations between levels of population density and the transmission of COVID-19 in Indonesia. Descriptive analysis is employed to determine the data distribution of the response variable (dependent variable Y) as well as the independent variables X1 and X2. Therefore, inferential analysis is a quantitative technique that involves examining a sample in order to draw conclusions about a larger population. The present investigation has revealed a statistically significant positive connection (r = 0.954) between the incidence of COVID-19 patients and population density in Indonesia. The Model Summary provides the R value (Correlation Coefficient) of 0.959, indicating a strong positive correlation between the variables. Additionally, the multiple correlation coefficient r (Multiple R) is 0.920, which represents the determination index or the proportion of the influence of X on Y. Therefore, it can be asserted that 92% of COVID-19 cases are driven by population density and the number of individuals experiencing employment terminations, whilst the remaining 8% is affected by additional factors. The regression equation can be constructed from the Coefficients table in the following manner: The equation can be expressed as . The calculation of the Standard Error of the Estimate (SE) yields a value of 8151.076 or 8151. The standardized coefficient (Beta) of 1.381 represents the extent of association between the number of COVID-19 infection cases and population density.

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Section: Resultsmentioning

confidence: 99%

COVID-19 pandemic and population density problem in Indonesia: transmigration policy as an alternative program

Saleh,

Khadafi,

Nurmandi

et al. 2023

otoritas

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“…It satisfies manufacturers requirements regarding defect classification and recognition in machine vision detection systems. Therefore, this method is an effective solution for detecting defects in logistics packaging boxes [1], [8], [14]. Despite its effectiveness in its own scenario, the approach from the previous study has significant limitations.…”

Section: Introductionmentioning

confidence: 99%

Efficient packaging defect detection: leveraging pre-trained vision models through transfer learning

Prastiwinarti,

Delimayanti,

Kurniawan

et al. 2024

IJEECS

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The inspection of packaging defects is a crucial aspect of maintaining the quality of industrial production, especially in the case of boxed products. This study introduces a novel approach for detecting physical defects in product packaging boxes by integrating image processing with deep learning, specifically transfer learning with two images as an input. The proposed method utilizes both top view and side view images of the packaging to determine its condition, a significant departure from the conventional single image input. Our approach incorporates 16 pre-trained model variants from EfficientNetV2, MobileNetV3, and ResNetV2 for transfer learning as feature extractors. The experimental findings demonstrate that the best model that leverages EfficientNetV2 variant achieves 100% accuracy and F1 score in terms of classification performance. However, the most optimal model in terms of classification performance and inference speed was the one that leveraged ResNetV2 variant. This model scored 95% accuracy and 95.24% F1 score, with an inference speed of 91 ms per prediction.

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Development of Integrated Web Application for Fishery Trading in Indonesia

Cited by 2 publications

References 18 publications

COVID-19 pandemic and population density problem in Indonesia: transmigration policy as an alternative program

COVID-19 pandemic and population density problem in Indonesia: transmigration policy as an alternative program

Efficient packaging defect detection: leveraging pre-trained vision models through transfer learning

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