Classification is a method of data analysis that is used to create models that describe data classes that are considered important. For the classification of the classification process, the data used is THPS Visitor data which consists of 4 classes including Education, Gender, Age and Visit. The classification used as a comparison of results is the Naive Bayes Classifier. By classifying the number of visitors who are most dominant visiting by age category consisting of adults, adolescents and children. This study aims to classify the highest number of values for visitors by age category. This study was reviewed using the Naive Bayes algorithm. The results of this study indicate that the visitor data that is the most dominant visiting by age category is children who have 77% accuracy is the age of children. This accuracy value is the age that most often visits THPS.
Purpose: This study aims to analyze the effect of accelerating the implementation of work and the costs needed for the job of occupational safety and health certification in the Construction services company in East Java province. Design/methodology/approach: This study used a survey method carried out on 20 crane units in 4 construction service companies by analyzing data using Critical Path Method (CPM), resulting in an acceleration of inspection and testing of crane up to 37% with cost efficiency of 36 %. Findings: The results of this study are expected to provide an overview of Crane's reliability as early as possible to users to anticipate operational failures through regular maintenance and repairs. Research limitations/implications: This study can also determine the timing of inspection and testing in the context of implementing the Crane Occupational Safety and Health certification so that the use of resources can be optimized. Practical implications: With the implementation of inspection and testing, certification can be fulfilled before the certification period ends. Originality/value: This paper is original Paper type: Research paper
The development of a city can be measured by the amount of development that has been carried out and its suitability for people needs, which is seen by the increase of demand for Building Construction Permits (IMB certificate) because around 70% of regional income is derived from levies in this sector. The population density of a residential area is no longer possible developed by horizontally, along with the increase in the needs of dwellings and businesses to meet the needs of the construction of houses and businesses by building them in 3rd floor houses. Lifting equipment type portable electric hoist is a tool which used to move material from the first floor to the next floor during the construction of 3rd floor houses. The transferred material includes; bricks, ceramics, cement, and other building materials. This research conducted to analyze the design of a Lifting Equipment for Material type portable electric hoist to increase the effectiveness of the construction of 3rd floor houses. This study uses a direct load testing method by lifting up to the maximum test load or tipping load. Lifting and moving of test loads is determined at an altitude of 5 meters and 12 meters from the ground floor surface. The results of this research indicates that the five stages load carried out by lifting and moving materials test loads by the design of a portable electric hoist were accepted. Lifting and moving load at sixth floor is rejected because condition of tipping. The rejection of the results from this test became a reference to determine the maximum safe working load for operational design of portable electric hoist only 300 kilograms.
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