Crime is an action which is considered as a violation of law and can harm others. Nowadays, crimes has increased with erratic patterns. Therefore, crime prevention is necessary since it will occur based on the historical data. Data mining is a technique that can be used to predict crimes that will occur. According to the previous researches, data mining techniques have several methods that can be used to predict crimes by utilizing the data of crimes that have occurred. Hence, it is necessary to conduct a comparative analysis of classification algorithms in order to obtain accurate prediction results based on the crime data in Sleman regency. The classification algorithms analyzed in this study were k-NN, Naive Bayes, and Decision Tree. Based on the three algorithms, the accuracy of k-NN with k = 5 was 57.88 percent, with k = 10 was 59.49 percent, with k = 15 is 59.38 percent, with k = 20 was 60.18 percent, and with k = 25 was 61.57 percent. Meanwhile, for the Naive Bayes algorithm, the accuracy reached 65.59 percent, and the Decision Tree algorithm reached 60.23 percent. In conclusion, the algorithm with the highest accuracy was owned by Naive Bayes.
Leather handycraft industry produces handicrafts such as bags, shoes, wallets, belts. On production process atcutting division, work posture condition is too bent. A preliminary study on 20 workers found musculoskeletal complaints was greater than 50% at 16 items, mostly in upper limbs. Based on these complaints, research was on work posture using RULA and Sympton Questionnaire. Research purposes was to determine the risk level and relationship with UEWMSDs on the worker. The result of RULA found that work posture with RULA score was 7 (seven) that means 3 (three) risk level that very high category, and needs to be repaired as soon as possible. Symptom Questionnaire answer related to worker's complaint, which are complaints of shoulder and arm pain was 50%, pain after work 1-4 years was 85%, duration of illness <1 hour was 85%, move to another part due to illness was 55%, pain increase when the activity was 100%, and pain reduce at rest was 90%. Base on the condition, it was needed to redesigned cutting table evaluated by RULA category 3 (three) based on anthropometry of workers
Part body component of a car is the finished product component that is mainlyproduced by the big press machine. In the production process of part body component of acar in the stamping plant division, the manual task is performed by two operators to feedingthe material sheet into the big press machine simultaneously. After the knobs were pressedtogether, the big press machine started to stamp the material sheet and the outcoming productis taken by the next operator. This task is performed repeatedly until it is the last one.Manual and comprehensive task that combined with speed in operating the big press machinecause who muscular tension which at the end could cause muscular complaints and prematurefatigue, that could decrease production and productivity.The current study of ergonomic intervention on stamping process of part bodycomponent of car was conducted in order to determine whether ergonomic intervention couldimprove the work quality, satisfaction and time efficiency in the stamping process.The subjects of study were 10 persons that were taken randomly. It was designedexperimentally with treatment by subject design. The method of data collection was byquestionnaire distribution and direct measurement of subject’s condition, time of stampingprocess and work environment before and after intervention. The Shapiro Wilk test showedthat all of the data had normal distribution and was followed by t-paired for data of workquality, work satisfaction, time efficiency, and the environment data. The significance level isset at 5%.The research result showed that work quality was improved (muscular complaints wasdecreased by 6,65%, fatigue was decreased by 5,47% and work boredom was decreased by5,87%), work satisfaction was improved up to 6,43%, time efficiency of stamping processwas improved up to 10,7%, the production was improved up to 2,59% and productivity wasimproved up to 32,65% as well as company’s profit was increased up to 3,95%.Hence, the study concludes that ergonomic intervention in the production process ofpart body component of car in the stamping plant division could improve work quality, worksatisfaction and time efficiency.
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