Tuition Fee or UKT has a different group, in which each group has a percentage each of the which has been set by the government based on the economy of each student. The absence of clear standardization in determining Tuition Fee raises many problems. The approach of Decision Support Systems (DSS) will help in the decision making of Tuition Fee students are more effective and efficient. The purpose of this study research is to compare the 4 DSS methods used in the decision making process, Simple Additive Weighting (SAW), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), a combination of Simple Additive Weighting (SAW) and Analytical Hierarchy Process (AHP), and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Analytical Hierarchy Process (AHP) is used in making Decision determination Tuition Fee students in accordance with established criteria determine the method relevant to the problem. By using a comparison of four methods: SAW, TOPSIS, SAW-AHP and AHP-TOPSIS, the experimental results obtained using accuracy measure where the highest accuracy obtained by TOPSIS-AHP is 80%, then followed by the TOPSIS method 78%, SAW-AHP 74% and SAW 76%, so the TOPSIS-AHP is the best method used in determining Tuition Fee.

Chicken eggs are one of the commodities that become easily available foodstuffs. The level of egg production in good condition is directly proportional to the capacity of the cage. The process of calculating the amount of egg production becomes a problem for farmers when they want to calculate the amount of egg production in the condition of a chicken coop on a large scale. Smart systems are one form of technological development with the primary goal of producing effective and efficient systems. One area that plays a role in technological development is image processing, eggs are objects with certain color characteristics and pixel scales. In this study, the process of calculating the number of eggs based on color segmentation and selection of pixel scales on eggs and the process of calculating objects using the Connected Component Labeling algorithm of images that have gone through gray-scale and threshold processes and implemented using MATLAB. The trial results show that the object image of an egg is strongly influenced by the size of the image, the intensity of the light, and distance of capturing images. The number of eggs that can be detected in this study depends on the process of segmentation and measurement of the object’s egg scale, in this study it was found that colors other than egg colors and objects that are outside the egg scale will be considered as noise and will not be detected.

Plagiarism is the act of taking or plagiarizing the work, ideas or ideas of others either intentionally or unintentionally and claiming to be one's own work without mentioning the source or author. Often students plagiarize assignments given by the lecturer so that sometimes students just copy other people's assignments to complete the assignment. So that this can lead to dependence on other people in doing assignments and not being able to independently carry out assignments given by the lecturer. Currently, many plagiarism detection systems have been created to help reduce the level of plagiarism, one of which is the winnowing algorithm. In this study the authors used the winnowing algorithm to detect plagiarism in student assignments, namely programming source code, from the results of research conducted on 10 student assignments using the winnowing algorithm produced various similarity values as a percentage of similarity between two students tasks compared. With an average value of the overall similarity of the 10 tasks, namely 75.12%.

Abstrak UKT mahasiswa mempunyai kelompok yang berbeda-beda, dimana tiap kelompok mempunyai persentase masing-masing yang sudah ditetapkan oleh pemerintah berdasarkan ekonomi mahasiswa. Tidak adanya standarisasi yang jelas dalam penentuan UKT menuai banyak problem. Pendekatan pengambil keputusan atau disebut Decision Support Systems (DSS) akan membantu dalam pengambilan keputusan terhadap UKT mahasiswa yang akurat. Tujuan dari makalah ini ingin membandingkan 3 metode Multicriteria Decision Analysis, yaitu menggunakan metode Simple Additive Weinghting (SAW), metode Technique for Order Preference by Similarity to Ideal Solustion (Topsis) serta metode Analitical Hierarcy Process (AHP) yang digunakan dalam pengambilan keputusan penentuan UKT mahasiswa sesuai dengan kriteria untuk menentukan metode yang relevan akan permasalahan tersebut. Penentuan skala dan pembobotan dalam setiap metode akan mempengaruhi hasil yang diperoleh oleh masing-masing kriteria. Dari hasil komparasi dari 3 metode yaitu SAW, TOPSIS, dan AHP diperoleh bahwa AHP mempunyai nilai rata-rata yang mendekati nol yaitu dengan nilai 0,10, sedangkan TOPSIS mempunyai rata-rata yaitu 0,44 dan AHP sendiri dengan nilai rata-rata 0,53 sehingga AHP merupakan metode yang terbaik digunakan dalam penentuan UKT. Kata Kunci:

Electability is one of the concerns as public figures who will take part in the elections, various things are done to improve their electability. Now, there are many methods to measure electability, one of which is the Natural Language Processing method. In this study, an electability analysis of public figures was conducted on online news to determine the electability level of a public figure. Where information obtained by the public is through online news sites. According to the Indonesian Internet Service Providers Data (APJII) in 2014, internet users in Indonesia will reach 107 million. This number has become one of the potential Public Figures, both institutionally and individually in capturing their masses through new media. 100 million of the masses will be contested by candidates who will compete in the political stage. Therefore, candidates who will advance will carry out digital political imaging. The public figures used in this study are 12 figures who are rumored to be going forward in the 2020 elections based on the online news site MAJENE 2020 ELECTION.