Lecturers as one of the human resources who have an important role in higher education activities need to be maintained the quality of their performance. One of the activities carried out is evaluating and ranking lecturers to improve the quality of performance. There needs to be a Decision Support System that can help in assessing and evaluating lecturer performance. One method in decision support is the Weight Product Method. The purpose of this research is to create a decision support system to determine the best lecturers and rank of each lecturer. The subjects of this study were lecturers at Putra Indonesia University YPTK Padang using a data sample of 5 lecturers. Data collection techniques used in this study were observation and interviews. Comparison of the results of calculations carried out manually with the results of calculations using the Weight Product method of 5 sample data used found the best lecturer with a vector V value of 0.0819. This decision support system was created using the PHP programming language and MySQL database. So that this research is more efficient because the time required in the calculation is shorter and produces the best lecturer choice that matches the criteria.
This paper aims to present a discussion of air quality based on the classification analysis developed by hybrid method. Problems that occur, where the longer the air quality is getting worse and can cause serious problems for human life. The method in performing the used analysis consisted of K-Means clustering, Multiple Linear Regression (MRL), Artificial Neural Network (ANN), and Decision Tree Algorithm C.45. The results of MRL measurement show that correlation relationship is the same as the variable with an output of 70.7%. Then the results of determination with ANN showed an MSE value of 0.0018197 and output accuracy of 99.99%.
This study aims to create a decision support system in determining the priority of facilities maintenance work. The current priority system of maintenance work is based on various criteria with uncertainties that often results in work that is not completed or requires a long time to work on it. It happens because the scheduling of maintenance priorities is wrong. Therefore, it needs a method of selecting priority maintenance in order to get a more accurate decision. This decision system design uses the WP method to consider the maintenance department to determine the priority selection of facility maintenance. The basic concept of the WP method is the method of solving using multiplication to link the attribute rating, where the rating must be raised first with the weight of the attribute in question. This process is the same as the normalization process. Based on this study, the results were obtained in the form of a priority level of maintenance work quickly and precisely on target from the results of the assessment and calculation of the priority level of maintenance work. Thus, using this method can increase the accuracy by 80% in determining the priority of the facility maintenance that will be conducted.
Kota Bukittinggi yang berada pada posisi strategis jalur silang perekonomian wilayah regional Sumatera dan sebagai Pusat Kegiatan Wilayah dalam rencana tata ruang Provinsi Sumatera Barat menyebabkan tingginya kunjungan masyarakat ke Kota Bukittinggi sehingga meningkatkan kebutuhan akan lokasi parkir. Masyarakat dan pengunjung Kota Bukittinggi saat ini masih kesulitan dalam mencari lokasi dan mengetahui informasi regulasi parkir resmi yang ada. Sistem Informasi Geografis (SIG) merupakan sistem informasi yang mengelola data spasial dan didukung data non spasial kemudian menyajikan informasi dalam bentuk peta berdasarkan letak geografis objek. pemanfaatan SIG berbasis website dapat menjadi solusi bagi masyarakat dan pengunjung Kota Bukittinggi sebagai kanal informasi terkait sebaran lokasi dan regulasi parkir resmi sebagai upaya pencegahan parkir liar dan pungutan liar. Metode pengumpulan data yang digunakan dalam penelitian ini adalah observasi. Pembuatan aplikasi SIG berbasis website untuk memetakan sebaran lokasi parkir resmi Kota Bukittinggi ini menggunakan bahasa pemrograman PHP dan DBMS MySQL serta Leaflet JS dan OpenStreetMap sebagai pengelola peta digital.
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