scholarly journals Prediksi Kelulusan Seleksi Mahasiswa Baru Jalur SBMPN Pada Politeknik Maritim Negeri Indonesia Menggunakan Jaringan Syaraf Tiruan Backpropagation

2021 ◽  
Vol 7 (1) ◽  
pp. 19-24
Author(s):  
Warsina Warsina ◽  
Fajarsari Kurniawan

One of the selection routes for new student admissions at the Indonesian State Maritime Polytechnic (Polimarin) is the Joint Selection to Enter the State Polytechnic (SBMPN). Furthermore, the SBMPN selection results as the results of stage one tests and other specific tests which include interview, psychological, health, and fitness tests as stage two tests can predict the level of accuracy of passing from the required criteria. These criteria are used as variables to predict the graduation of prospective students on the SBMPN pathway conducted by Polimarin. The method used uses Backpropagation Artificial Neural Network with input variables, namely the average value of report cards from semester 1 to 5, interview scores, psychological test scores, health scores, and equality values. This system was developed with Mathlab software. Based on the results of testing the training data, the level of accuracy reaches 100% which can be classified as the best classification, with an accuracy value of 92.85 percent. This system is intended to help management predict the selection of the SBMPN route in the following year.

2016 ◽  
Vol 6 (1) ◽  
pp. 11
Author(s):  
Menur Wahyu Pangestika ◽  
Oky Dwi Nurhayati ◽  
Suryono Suryono

Methods Dempster Shafer Analytic Hierarchy Process is used to rank or sort information based on a number of criteria. DS/AHP advantage of Pairwise Comparison, Consistency Ratio, and Dempster Rule's of Combination, which is used to generate information systems in the form of a sequence of courses as consideration for the selection of majors for prospective students. The sample used in this study were 29 students of five faculty at the University of Diponegoro. The data used is the standard minimum value of each faculty and the average value of the semester report card 1-5 Mathematics, Indonesian, English, Biology, Chemistry, and Physics. Results of this study was the software selection study program that gives students the value of trust in each department. Testing the validity of the value of the accuracy of the system is done by comparing the majors were chosen with the recommendation majors produced by the system, resulting accuracy of 79.33%.


2017 ◽  
Vol 2 (2) ◽  
pp. 25-32
Author(s):  
Bella Mayhendra ◽  
Petrus Sokibi

The Acceptance of new students in SMA Negeri 1 Rajagaluh is done by choosing alternate prospective students who qualify based on predetermined variables. The problem faced by the team of selectors is how to determine the best students from a number of prospective students who have advantages and disadvantages of each with a very fast time so often mistakes in the selection of new students in SMA Negeri 1 Rajagaluh and less objective in providing an assessment for selected. In this thesis built a new decision support selection system using the method of Weighted Product (WP). The variables used in the selection of admissions in SMA Negeri 1 Rajagaluh are the national final examination scores, the final examination score of the school, the value of junior high school report cards. This system is designed using PHP programming language (Hypertext Processor File) as well as MySQL database as a database server. This system generates rankings of prospective new students in accordance with the procedure of admission of students in SMA Negeri 1 Rajagaluh, where the result is in the form of student ranking. This system has several advantages that variable and a weight value of variables used in this system is dynamic. This system also has a shortage of the range of values on the variable is still static


Petir ◽  
2018 ◽  
Vol 10 (2) ◽  
pp. 9-17
Author(s):  
Redaksi Tim Jurnal

Information Technology is providing a lot of convenience that can be felt by human life. One example of the era of information technology is the birth of computers in the life of society .. Computers are now perceived to provide a lot of mamfaat that can not be separated from human life. In every company or institution, in its data processing has been applied by using computer. Therefore the computer can be made aspects of decision support is good and appropriate in taking a decision. Particularly related institutions ie colleges are the most important thing when they apply teaching and learning activities between lecturers and students. This is very important if the college wants to produce a good graduate and achievement, then the college should take the lead if you want to achieve it. Things that can be addressed is a new student admissions system kesetiap public and private universities in Indonesia. Why is that, with the existence of a computerized system it will provide convenience in determining the choice of majors to choose, because one of the most important factor is how the prospective students can determine the choice according to their interests and talents. So that in their teaching and learning activities will be optimal, there will be no complaints that cause the student has a mind to not continue his studies. Then it should be time the college to change the existing system by making an information system for the selection of majors for prospective students in accordance with the desired department. From this case then as a researcher wants to provide input by presenting a new innovation that is by building a system of election information majors for public and private universities in Indonesia.


Author(s):  
Titin Sekartika

Private educational institutions have various methods of recruiting students according to school needs. In general, these schools prefer to implement PPDB (New Student Admissions) with the "pick up ball" method, rather than taking PPDB Online. PPDB "pick the ball" is a method of recruiting students that is followed by all school units including, educators and students. They go directly to the field to find and pick up students. So, not only students who come to the school to register, but the school will pick up prospective students. This research is a qualitative study using the Alfred Schutz phenomenology approach. Max Weber's theory of social action as the analysis knife of this research. The focus of this research study is the SMK Siang 1 Bojonegoro school unit. The selection of informants was done purposively. Data obtained through observation, indepth interview, and documentation. The results of the study, SMK Siang 1 Bojonegoro has several reasons for "picking up the ball", including: maintaining school prestige, eliminating negative stereotypes, competition between schools, increasing economic capital, bureaucratic efficiency, and the existence of a communal culture in the Bojonegoro community. There are two strategies used to make "pick the ball" successful. Hegemony strategy, actors act on the basis of franchise principles, seen from the side of efficiency and effectiveness alone. Meanwhile, the actor's Social Capital strategy acts based on moral and religious values.  


2020 ◽  
Vol 4 (3) ◽  
pp. 797
Author(s):  
Efori Buulolo ◽  
Rian Syahputra ◽  
Alwin Fau

Bidikmisi scholarship is a government program to help prospective new students who are academically capable and economically incapable. The Bidikmisi scholarship is a form of tuition assistance and living expenses. Starting in 2018 Budi Darma University began accepting new students through the bidikmisi scholarship path, admission of new students through the bidikmisi path must meet the requirements set by the government. Determination of whether or not a prospective new student is a recipient of bidikmisi based on report cards, school performance, results of selection tests and interviews. During this time the organizers and managers of bidikmisi at Budi Darma University have had difficulty determining prospective students who are truly eligible to receive bidikmisi scholarships in addition to the very limited quota and the large number of prospective students receiving bidikmisi scholarships as well as the value of each criteria for prospective students receiving bidikmisi which is almost the same or similar to one another. To make it easier to determine prospective students receiving the Bidikmisi scholarship, the K-Medoids algorithm is used. K-Medoids algorithm is one of the algorithms in data mining to group data based on the closest criteria value


JOUTICA ◽  
2018 ◽  
Vol 3 (2) ◽  
pp. 171
Author(s):  
Andri Suryadi ◽  
Erwin Harahap

The quality of a university in creating qualified graduates is determined by the prospective students who enter the college. One of the things that can determine the quality is how the selection process of candidates for good student acceptance. However, the selection process of admissions in every college of course is different. Often the input of prospective students who enter the university is not in accordance with the expected so that the impact of graduate results. Therefore it is necessary for a system that can support the decision in the selection of new student candidates in order to get a good student input. This research builds a Recommendation System that will assist in the selection process of universities for the selection team of new student candidates. This recommendation system uses the naïve Bayes classifier method where the test scores of incoming selection of students who have been accepted will be used as training data and then classified based on the value of ipk that has been obtained. The value of the ipk will be a benchmark for the formation of classes - classes that are recommendations to the selection team. The classes that are formed are classes whose ipk value is at the accepted point and the class whose ipk value is not accepted. Then given a new student data, if the prospective student enters the safe class then it will be recommended to be accepted but otherwise it will be recommended to be rejected


Author(s):  
Made Sudarma ◽  
Anak Agung Kompiang Oka Sudana ◽  
Irwansyah Cahya

Each year thousands of prospective students attend new student enrollment in universities, which each prospective student have determined the courses that wish to be studied in college. Most of prospective student choose the courses only based on the number of enthusiasts and wishes of parents, and are not based on their academic ability. The impact of this phenomenon is that many of the prospective students chosen to switch courses and not a few of them have been punished dropout. This problem can be solved through the creation of decision support system that has an ability to suggest suitable courses to be selected by the prospective student based on their academic ability. This decision support system solved the problem using the method of elimination et choix tranduit la realite which is presented in web-based application to raise the accessibility by the prospective student.


2020 ◽  
Vol 1 (3) ◽  
pp. 227-237
Author(s):  
Fathorazi Nur Fajri ◽  
Wali Ja’far Shudiq ◽  
Nurul Hidayattun Nasyihin

New Santri Admission (Penerimaan Santri Baru) is an administrative process for the selection of new student candidates. The PSB process is always carried out manually at each school institution, especially the Islamic Boarding Schools, which will cause various difficulties from several related parties. Therefore the New Santri Admission System was created online or the term can be called the online PSB. . An idea emerged to create a new student admission information system based on the SQL database. With this system, pesantren or administrators can manage the implementation of student registration for web technology using the PHP programming language and new languages. such as rapid registration and announcements.


Author(s):  
Lidia K Simanjuntak ◽  
Tessa Y M Sihite ◽  
Mesran Mesran ◽  
Nuning Kurniasih ◽  
Yuhandri Yuhandri

All colleges each year organize the selection of new admissions. Acceptance of prospective students in universities as education providers is done by selecting prospective students based on achievement in school and college entrance selection. To select the best student candidates based on predetermined criteria, then use Multi-Criteria Decision Making (MCDM) or commonly called decision support system. One method in MCDM is the Elimination Et Choix Traduisant la Reality (ELECTRE). The ELECTRE method is the best method of action selection. The ELECTRE method to obtain the best alternative by eliminating alternative that do not fit the criteria and can be applied to the decision SNMPTN invitation path.


2016 ◽  
Vol 52 ◽  
pp. 194-202
Author(s):  
S. L. Voitenko ◽  
L. V. Vishnevsky

The article shows the state of Ukrainian Whiteheaded cattle, which includes distribution of cattle, the number of animals belonging to respective bloodlines, evaluation of young animals with live weight in the process of growing and milk production of cows during the first lactation. It reflects the historic development of the breed when it was colonism whiteheaded cattle, which turned into the original breed, undergone a significant expansion in livestock and increase of productivity, decreased in the number, was as basis for creation of Ukrainian Black-and-White dairy breed and now bred only in one breeding farm. Visual estimation of animal exterior showed good development of cows and calves and their belonging to the dairy type. In the vast majority the cows of the herd have a black suit, a white head with " glasses" around the eyes, white belly, udder, lower legs and brush of the tail. The youngsters aren’t consolidated by the exterior, and among them there are animals which are not typical for Ukrainian Whiteheaded breed. The young animals have some lag in live weight behind the breed standard [12] to 7 months’ age with exceeding of this trait in certain periods quite significantly in the future. It was established that selection of heifers on live weight will be effective at the early age (1-5 months), given the coefficient of variation of live weight – 22,63-30,21% and will not have a significant influence in the future. Milk yields of first-calf heifers vary considerably depending on the origin. The milk yield of first-calf heifers in the herd was 4238,5 kg on average, the heifers belonging to Mart 171 and Ozon 417 bloodlines had the best milk performance – 4483,1 and 4254,9 kg accordingly. The most aligned milk yield during the first lactation was in the cows belonging to Ozon 417 bloodline, the limits of the trait are 4128,5-4327,4 kg with the average value by the line 4254,9 kg. In contrast, the first-calf heifers of Ryezvyi 33 bloodline with average milk yield 4048,9 kg had limits of the trait 2199,3-4736,1 kg. Even greater range in cows’ milk yield during the first lactation R= 4939 kg (limits 1687 – 6626 kg) is characterized for the herd in general, it shows, on the one hand, the possibility of qualitative improvement of cows’ productivity due to selection on the investigated trait and lack of selection in the herd on the other hand. It was established that daughters of bull Chardash belonging to Ryezvyi 33 bloodline produced 4736,1 kg of milk for 305 days of the first lactation with fat content 3,6%, whereas Zlak’s descendants of the same line were characterized by the lowest milk yield for the first completed lactation – 2199,3 kg with fat content 3,7% and the average value by the line – 4048,9 kg of milk, fat content 3,6%. Similar variability of first-calf heifers’ milk yields, depending on the origin, is typical for other bloodlines of Ukrainian Whiteheaded breed. To increase milk productivity of Ukrainian Whiteheaded cows is recommended to repeat successful combinations of parental forms, and to preserve the breed – to carry out an objective assessment of animals by a range of traits, given the efficiency of selection of heifers on live weight at early age.


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