The aim of this paper was to study the correlation between crude palm oil (CPO) price, selected vegetable prices (such as soybean oil, coconut and olive rapeseed sunflower oil), monthly exchange rate. Comparative analysis then performed on CPO price forecasting results using machine learning techniques. Monthly prices, rate data from January 1987 February 2017 were utilized. Preliminary showed a positive high soy bean also price. Experiments conducted multi-layer perception, support vector...

This paper discusses the efficacy of data augmentation method deployed in many Convolutional Neural Network (CNN) algorithms for determining timber defect four species from Malaysia. A sequence morphological transformation, involving x-reflection and rotation, was executed dataset aiding CNN model training generating finest models which offer best classification performance defect. For further assessing algorithms' performance, several deep learning hyperparameters were tried on Merbau by...

The objective of this paper is to improve the current System Usability Scale (SUS) and assess its applicability in context Learning Management Systems (LMS). need evaluate usability systems has become increasingly important today's market, as it can have a significant impact on user experience. In light COVID-19 pandemic, e-learning an essential tool for students, making LMS appropriate research case study. Through comprehensive literature review, was discovered that SUS most widely used...

This study proposed a classification model for timber defect based on an artificial neural network (ANN). Besides that, the research also focuses determining appropriate parameters in optimizing identification performance, such as number of hidden layers nodes and epochs network. The network's performance is compared with other standard classifiers Naïve Bayes, K-Nearest Neighbours, J48 Decision Tree finding their significant differences across multiple species. classifier's measured...

Wood defects detection has been studied a lot recently to detect the on wood surface and assist manufacturers in having clear be used produce high-quality product. Therefore, affect reduce quality of wood. This research proposes an effective feature extraction technique called local binary pattern (LBP) with common classifier Support Vector Machine (SVM). Our goal is classify natural surface. First, preprocessing was applied convert RGB images into grayscale images. Then, LBP eight neighbors...

Past studies have identified the existence of a positive relationship between individual employees and their respective jobs as well current organizations which resulted in more favorable attitudes behaviors employees. Although various types research been conducted on person-job fit (P-J fit), few researches that discussed P-J turnover intention particularly identifying mechanisms may help to explain these relationships. Thus, this study focuses outlying propositions potential role employee...

This study aims to present time series-based forecasting for Malaysian crude palm oil prices using neural network algorithms. Daily of soy bean and currency exchange rates are tested as input features, in addition prices. Efforts focused on finding the optimal structures modelling price forecasting. Neural with an appropriate selection hidden nodes tested. The results demonstrate that number features significantly impact predictions.

In field of agro economic, Crude Palm Oil (CPO) price forecasting is still heavily relies on human expertise. This paper proposes a CPO model to assist the palm oil plantation organization in anticipating more effectively monthly fluctuations and manage supply demand efficiently avoid problems going very low. The parameters used by predictor consist weather variables, namely, temperature, rain amount, pressure, humidity radiation as well past price. for 10 years collected from MPOC...

This study was aimed to examine the effect of work design characteristics on employee engagement in Organizational Citizenship Behaviour (OCB). Drawing upon Expanded Work Design Model (Humphrey, Nahrgang, & Morgeson, 2007) and Job Characteristics Theory (Hackman Oldham 1975), this specifically examined direct seven dimensions OCB. A total 646 nursing clinical employees holding non supervisory jobs 3 public hospitals Malaysia participated study. Hierarchical multiple regression results...

Study to explore the effect of customization towards user satisfaction in daily operation ERP system .Study carried out four manufacturing companies. Indepth interviews and surveys used measure The results reveal that exceeding certain level complexity index would reduce operation.

This paper evaluates timber defect classification performance across four various Local Binary Patterns (LBP). The light and heavy used in the study are Rubberwood, KSK, Merbau, Meranti, eight natural defects involved; bark pocket, blue stain, borer holes, brown knot, rot, split, wane. A series of LBP feature sets were created by employing Basic LBP, Rotation Invariant Uniform a phase extraction procedures. Several common classifiers to further separate classes, which Artificial Neural...

Feature extraction is unquestionably an important process in a pattern recognition system. A defined set of features makes the identification task more efficiently. This paper addresses and analysis based on statistical texture to characterize images timber defects. series procedures including feature was executed construct appropriate that could significantly separate amongst defects clear wood classes. The aimed for later use defect detection For Accessing discrimination capability...

Bacillus thuringiensis is renowned for its production of insecticidal cry proteins, widely utilized in crop protection to combat insects. However, the risk insect resistance emerges due relatively loose binding toxins target sites on larvae's midgut brush boundary membranes. This primarily stems from modifications within cells. To address potential threats, discovery new Cry proteins imperative as insects continually evolve against existing ones. Combining with diverse larval midguts...

Crude palm oil (CPO) price prediction plays an important role in agricultural economic development. Various economics and related factors have been used to predict CPO prices. Nevertheless, understanding news sentiment features will also be prediction. This paper proposes a model help the plantation organizations sector successfully anticipate fluctuations manage resources more effectively. The behavior is non-linear nature, thus very difficult. In this paper, improved version of recurrent...

Although previous researchers have paid significant attention to the effect of employee work engagement on involvement in organizational citizenship behavior (OCB), only a few specifically examined joint effects and personality OCB. Drawing upon Social Exchange Theory, this study role (agreeableness) as moderator engagement-OCB relationship. A total 646 employees from three public healthcare institutions Malaysia participated study. Moderated hierarchical regression results indicated...

Crude palm oil (CPO) price prediction plays an important role in the agricultural economic development.It requires in-depth knowledge both economics and domain.The aim of this paper is to propose a CPO model help plantation organizations sector effectively anticipate fluctuations managing resources more effectively.The behavior are non-linear nature, thus very difficult.In paper, recurrent network, Long Short Term Memory (LSTM) based system compared with artificial neural network (ANN)...

The stock market prediction is one of the most important issues extensively investigated in existing academic literatures. Researchers have discovered that real–time news has much bearing on movement prices. Analysts now to deal with vast amounts real time, unstructured streaming data due advent electronic and online sources. This paper aims investigate relationship between actual price movement. R programming together package are applied capture analyze from Yahoo Financial. plotted into...

The usage of electronic health records is widely used today in the modern medicine field due to its immense benefits. These benefits include and are not limited allowing physician access a patient’s chart remotely, provide alerts potential medication error critical lab values. However, this technology Traditional Malay Medicine limited. This paper explores acceptance five healthcare organisations including private practitioners Malaysia. research utilizes exploratory prototyping approach...