Penerapan Metode Topsis Untuk Pemilihan Vendor Terbaik

The selection of vendors to work on a project is an activity that must be carried out effectively and precisely so that the project is carried out in accordance with business needs and does not suffer losses. To get the best vendor ranking, you can use the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) calculation method. TOPSIS method is a method that generates rankings by calculating the distance between the best solution and the worst solution. The steps to calculate using TOPSIS are identification of alternatives and their values, create a decision matrix, normalize the matrix, calculate the normalization matrix, look for positive and negative solutions, calculate the distance between positive and negative solutions, and calculate relative closeness and sort preferences. In this study using 8 criteria and 5 alternative vendors. Research method using research and development. This method will produce a prototype. The results of the calculation of TOPSIS obtained vendor c who gets the highest score and vendor b with the lowest rank

Menelisik Platform Digital Dalam Teknologi Bahasa Pemrograman

This study aims to identify the role of programing languages in building or developing a digital platform in accordance with the specifications of the needs desired by the community or users of the digital platform. The methodology of qualitative data description and literature study by Seeking information from various literatures and reference source related to the topics discussed. The data obtained is then analyzed and then concluded “so that result are obtained” from the topic. From this research, it can be concluded that programming languages play an important role in the development of a digital platform from browser, social media, to digital platform used for education.

Penerapan Metode Simple Additive Weighting (SAW) dalam Penentuan Santri dengan Hafalan Terbaik

Currently, the selection of students with the best memorization is carried out based on estimates or assumptions that students who are selected with the best memorization have met the predetermined criteria. The objectives of this research are: to get the priority of students' assessment based on the best memorization, to get an effective process in selecting students with the best memorization, to develop applications which are then measured for accuracy. The results of the level of accuracy from this research are: the level of accuracy according to users before application development is very inaccurate, the level of accuracy according to users after application development is very accurate, the level of accuracy according to experts or system experts before application development is very inaccurate accurate, the level of accuracy according to system experts after application development is very accurate. Meanwhile, the comparison test results obtained: there is a significant difference in the accuracy of the system of applying the Simple Additive Weighting (SAW) method to determine the students with the best memorization, according to users between before and after system development, and there is no difference in the accuracy of the system of applying the Simple Additive Weighting (SAW) method to determine the students with the best memorization, according to experts or system experts between before and after system development.