The use of sensors for safety and comfort in vehicles has increased, as in several studies that are being discussed, including the use of pressure sensors for applications in the TPMS system or face recognition system security. The purpose of this research is to reduce vehicle theft that is happening right now. This system consists of a face recognition system. This reason is based on the ineffectiveness of the vehicle handlebar / steering lock. But in this study, a vehicle safety prototype was designed with a face recognition method in the hope that this prototype was designed to provide a sense of comfort, security and also the vehicle becomes a privacy vehicle. The method used is the Local Binary Path Histogram method to detect image objects and a small camera to capture images of the face, using the Raspberry Pi as a tool control center (in which the process occurs: Scanning, Extracting, Comparing, Matching, and all have been incorporated in OpenCV). The output of this study is the face that has been recorded in the database as access to open access to vehicle security. The conclusion of this research is the process of facial recognition in real time activating the vehicle ignition lock system.
Jambi Muhammadiyah University participates in evaluating lecturers. However, the evaluation process carried out was still manual, namely using paper, where the paper containing the questionnaire was circulated to students and not all students filled out and collected the questionnaire again. Assessment procedures in this way are considered less effective and efficient. This procedure has many weaknesses including the use of a lot of paper in each questionnaire distribution, the calculation of the assessment requires a longer time, and the possibility of calculation errors due to human error. Therefore an information system is needed that can overcome this problem so as to increase the effectiveness and efficiency of the process of assessing and evaluating lecturer performance. The system is built using the PHP programming language and as a database using MySQL. The method used in this study uses the waterfall method with the stages of needs analysis, system design, system implementation and system testing. The design of this system uses data collection techniques, namely observation, interviews, and document review. The expected results in this study are a website-based Lecturer Evaluation Information System that can facilitate related parties in measuring the quality standards of lecturer quality at the University of Muhammadiyah Jambi.
This research aims to: (1) producing android-based Electronic Fuel Injections (EFI) learning media; (2) knowing the feasibility of android-based EFI learning media; and (3) knowing students’ responses to the learning media of the Android-based Electronic Fuel Injections (EFI) system. The rsearch was conducted using the Borg and Gall model modified by Sugiyono. The technique of data collection is done by questionnaire, while the data analysis technique uses descriptive quantitative methods. The results of the research were obtained: (1) products in the form of Android-based Electronic Fuel Injections (EFI) system learning media; (2) learning media in terms of material included in the very feasible category and in terms of media included in the very feasible category; and (3) students’ responses when testing the product, the aspects of use are included in the category very easily and the aspects of usefulness are included in the category of very useful. The response of students when testing the use, the aspects of use included in the category is very easy and the usefulness aspects including the category is very useful.
This research aims to: (1) producing android-based Electronic Fuel Injections (EFI) learning media; (2) knowing the feasibility of android-based EFI learning media; and (3) knowing students’ responses to the learning media of the Android-based Electronic Fuel Injections (EFI) system. The rsearch was conducted using the Borg and Gall model modified by Sugiyono. The technique of data collection is done by questionnaire, while the data analysis technique uses descriptive quantitative methods. The results of the research were obtained: (1) products in the form of Android-based Electronic Fuel Injections (EFI) system learning media; (2) learning media in terms of material included in the very feasible category and in terms of media included in the very feasible category; and (3) students’ responses when testing the product, the aspects of use are included in the category very easily and the aspects of usefulness are included in the category of very useful. The response of students when testing the use, the aspects of use included in the category is very easy and the usefulness aspects including the category is very useful.
Citrus fruit is one of the most popular types of fruits by the people of Indonesia because of its freshness and contains many types of vitamins. However, the population of citrus plants has experienced a high increase due to the limited knowledge of farmers in terms of proper citrus farming. Another obstacle that causes citrus fruit products in Indonesia to not meet expectations is the emergence of pests and diseases. Many losses are caused by plant diseases that are too late to diagnose, and have reached a severe stage causing crop failure. The purpose of the study was to build an Expert System for Diagnosis of Diseases in Citrus with the Forward Chaining Method Case Study at the Agricultural Extension Center (BPP) in Jangkat District, Merangin Regency, a system that can replace the temporary role of experts or experts in identifying citrus plant diseases quickly and accurately. An expert system for diagnosing citrus plant diseases is needed as a means of consultation and a means of learning for farmers, especially from the Extension Center. For this reason, the difficulties experienced by farmers can be overcome by providing a software (expert system) in the form of an application program to determine diseases that attack citrus or lime plants as well as proper handling and prevention methods. The input in this system is in the form of disease data, symptom data, and rule data. The output is a checking report. The result of this research is a system for diagnosing citrus plant diseases. Keywords— citrus plant diseases, Diagnosis, expert system, forward chaining.
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