To find out the problems faced in the teaching performance assessment process by utilizing the Technique For Order Preference method by Similiarity to Ideal Solution (TOPSIS), to manage the processing of Teacher data is a more optimal consideration. By using the (TOPSIS) method as a basis for processing teacher performance assessment data. This can allow the system to provide an assessment in accordance with the quality of each teacher and is expected to facilitate decision making in the assessment of Teacher's performance. The Technique For Order Preference by similiarity to Ideal Solution has been running well and can result in a weighting of assessment criteria and clear and fast information compared to manual calculations so SD Negeri Kebalen 07 can use it as a tool for making appropriate decisions.
Abstract— The choice of majors is very important for vocational high school students. There are several factors that influence the decision making of majors. Therefore the writing of this thesis has the purpose of, among others, helping vocational high schools to be able to choose majors in accordance with the wishes and abilities of students. The purpose of writing this thesis is one of the graduation requirements for the Strata Satu (S1) program for the Nusa Mandiri Jakarta (STMIK) program. To achieve the objectives in this study, the authors used quantitative analysis methods. Quantitative analysis in this research is to process the normalization of each criterion value from each alternative that can produce a value and rank in seeing the best majors for students by using the Vise Kriterijumska Optimizacija I Kompromisno Resenje (Vikor) method. Method of Vise Kriterijumska Optimizacija I Kompromisno Resenje (Vikor) helps solve complex problems by determining from the criteria, final score results in vikor and by drawing various considerations to develop weights or priorities.
Sebagian besar siswa lulusan SMP berkeinginan untuk melanjutkan keinginannya khususnya ke SMK, hal tersebut dapat dibuktikan dengan banyaknya siswa lulusan SMP yang mengikuti ujian masuk ke SMK. Hal yang patut disayangkan adalah kurang matangnya mereka memilih jurusan yang ada di sekolah kejuruan yang dituju. Situasi semacam ini berdampak pada biaya pendidikan yang terlanjur di keluarkan, baik pada orang tua siswa maupun pemerintah yang mensubsidi sekolah menjadi tidak bermanfaat karna siswa tersebut tidak memiliki kemampuan yang memadai untuk jurusan yang sudah dipilihnya, akibat negatif lainya adalah para siswa yang drop out. SMK lebih mengedepankan pembentukan siswa yang siap memasuki lapangan kerja serta mengembangkan sikap profesional yang terdiri dari berbagai macam jurusan. Banyaknya jurusan pada tingkat SMK membuat calon siswa kesulitan menentukan jurusan yang tepat sesuai dengan kemampuan yang dimiliki, oleh karena itu dibutuhkan sebuah sistem pendukung keputusan yang dapat menentukan jurusan sesuai dengan nilai, minat dan kemampuan calon siswa. Penelitian ini menerapkan logika fuzzy dengan metode Simple Additive Weighting (SAW) guna mempermudah penentuan jurusan SMK.
AbstrakPangawasan proses distribusi makanan beku yang dilakukan oleh bagian logistic dalam memdapatkan data masih bersifat manual, yaitu menggunakan form dan excel, sehingga menyebabkan admin kesulitan dalam memantau dan mengendalikan proses distribusi atau pengiriman makanan beku ke store atau outlet. Penyelesaian masalah dibuatkan sebuah aplikasi dengan menggunakan metode pengumpulan data dan metode RAD, dimana model Rapid Application Development (RAD) memiliki tahapan pemodelan bisnis menggunakan kebutuah penggunaan aplikasi admin dan user, pemodelan data yaitu menjelaskan penggunaan ERD dan LRS dari sisi basis data, Pemodelan proses menggambarkan tentang usecase diagram dan activity diagram dari sisi proses aplikasi, Pembuatan aplikasi menjelakan tentang bahasa pemograman dalam pembuatan aplikasi sedangkan pengujian dan pergantian menjelaskan penggunaan white box Testing. Tujuan dibuat aplikasi untuk mempermudah divisi terkait dalam melakukan pengolahan data proses distribusi, memantau dan mengontrol proses distribusi dan mendapatkan informasi proses distribusi secara realtime.
PT. Mayer Indah Indonesia is engaged in the production of goods, where the most important part to prepare the needs for production needs is the purchasing department, but in the purchasing section it is difficult to determine which items must be bought a lot, are and few in meeting the demand requirements of each part because of the needs goods for production are very unpredictable, eventually causing some goods demand not to be fulfilled because the goods are out of stock. To solve the problems experienced by the purchasing part, datamining using clustering algorithm is k-means method, where the initial stages determine the centroid randomly and do the first iteration calculation and determine the new centroid from the first iteration, then the second iteration calculation is done, because the results of the first and second iterations in the smallest layout of the three groups, the calculation stops. The results obtained by using the ink purchase data seen from the three attributes of incoming goods, items purchased and stock of goods, making it easier and help the purchasing department in classifying items that must be purchased a lot, medium and little.
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