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INDONESIA
INFOKUM
Published by SEAN INSTITUTE
ISSN : 23029706     EISSN : 27224635     DOI : -
Core Subject : Science,
Computer Science & IT
The INFOKUM a scientific journal of Decision support sistem , expert system and artificial inteligens which includes scholarly writings on pure research and applied research in the field of information systems and information technology as well as a review-general review of the development of the theory, methods, and related applied sciences. Software Engineering. Image Processing Datamining Artificial Neural Networks
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 842 Documents
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IMPLEMENTATION OF THE RANK ORDER CENTROID (ROC) METHOD TO DETERMINE THE FAVORITE BETTA FISH Saut Parsaoran Tamba; Alvin Purba; Yogga Eka Kusuma; Mang Ayu Santi Vidyastuti; Surya Dharma
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

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Abstract

Betta fish is one of the most popular fish in Indonesia. Apart from being a beauty, this fish is also often made into a match with one betta fish with another. Fish that are beautiful and can fight have a high selling price to the public. Therefore, it is necessary to make a study that aims to choose a good betta fish so that it becomes a favorite and will become a betta fish with a high selling price. The criteria examined were the color of the fish, the shape of the fins, the shape of the tail, the tie of the fish, the body, the head and the mentality of the fish. The results obtained are betta fish that have an albino color shape, brave and calm mentality, good fin shape, very good tail shape, fish tie with a balanced length, proportional and smooth fish body even though it has a fish head in poor condition (bad). ). It can be concluded that the most important criteria to be assessed are fish color, fish mentality, fin shape, tail shape, fish tie and fish body. The method used in this study is rank order centroid (ROC).
MARKETING COMMUNICATION PROGRAM DESIGN OF MAILO.LTD USING BENCHMARKING AND ANALYTICAL HIERARCHY PROCESS Hafiza Aprilia; Agus Achmad Suhendra; Sari Wulandari
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

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Abstract

Mailo.ltd is one of the businesses engaged in the fashion sector that sells its main products like T-shirts and sweaters in Palembang City. Mailo.ltd sells its products offline and online. However, there are still sales gaps every month and the target is less than stable. The target of Mailo.ltd sales is unstable due to low awareness from the public because Mailo.ltd implement 6 out of 8 marketing communication mix that can still be optimized. Therefore, a research was conducted using the benchmarking method to identify mixed marketing communication gaps and the analytical hierarchy process (AHP) as a tool in finding best practices as a reference in benchmarking recommendations for improvement in mixed marketing communication. The priority order of marketing communication recommendations that need to be implemented by Mailo.ltd includes the use of google ads, maximizing website quality through optimizing the SEO value and bounce rate, posting frequency on Instagram, using e-mail blasts, SMS advertising, adding official resellers, conducting campaigns. social and humanitarian donations, organize our own events, hold giveaways, and use point of purchase in stores
THE APPLICATION OF THE WASPAS METHOD WITH THE SWARA WEIGHTING METHOD APPROACH IN THE SELECTION OF SINGLE COLLEGE MONEY AID BUDIDARMA UNIVERSITY Murdani; Lince Tomoria Sianturi
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

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Abstract

Decision making is very necessary in choosing the application for Single Tuition Assistance at Budidarma University because to get Single Tuition assistance is very limited, a selection is carried out before the data is sent to Tertiary Education Institutions I North Sumatra. Solving the problem above requires a way to make a decision on the Selection of Single Tuition Aid at Budidarma University with the WASPAS method. The reason for using the WASPAS method for making a decision can help and make it easier to do the selection. The weighting approach using the SWARA method, with a decision-making method so that the results help decision makers make decisions accurately. Keywords: Decision, Selection, Single Tuition Assistance, Waspas Method and Swara method
ENHANCE CATALOGIZED SYSTEM INFORMATION IN THE LIBRARY, ARCHIVES AND DOCUMENTATION OF DISTRICT SOUTH TAPANULI Heni Wulandari
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

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Abstract

Whereas South Tapanuli students used the Willem Iskandar Regional Library as a source of teaching and learning, it was found that not many used the library. Whereas Padangsidimpuan students in visiting or borrowing books to the Willem Iskandar Regional Library, the researchers saw from the list of borrowed books, sometimes only 6 people borrow books a week and sometimes they don't exist at all, sometimes even in doing homework (PR) students are more often choose to use the Internet, because they think it is easier and faster. This shows that the low interest of MAN 1 Padangsidimpuan students in using the library as a source of learning. It should be learned not only in the study room, but it is very important to develop knowledge by reading a lot of books in the library. And the inhibiting factors for student interest are low student interest in reading, the location of the library is too far from the classroom, facilities in the library very limited, library collection that uses a lot of old books..
COMPARISON OF THE MAMDANI AND SUGENO METHOD TO INCREASE THE LEVEL OFANALYSIS THE ADVANTAGES OF INFRASTRUCTURE DEVELOPMENT Ertina Sabarita Barus
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

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Abstract

To increase the accuracy of the output value of a Mamdani-based decision support system compared to the manual analysis system. The value of the analysis carried out using the system should have a value close to the value that is done manually. For this reason, this study will compare Mamdani and Sugeno methods to observe the similarity of values with manual calculation data. In processing fuzzy input data produces output from the inference process which is then classified in 5 feasibility conditions, namely, low, normal, high, very high and not feasible which is used as a supporting facility in making infrastructure development decisions in an area
CLASSIFICATION OF MAJOR SELECTION BASED ON STUDENTS EXPERTISE USING C4.5 ALGORITHM N P Dharshinni
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

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Abstract

Selection and determination of majors is something that must be done by junior high school students when they want to enter senior high school. However, it is not uncommon for students to be confused in choosing the right major based on student expertise. The problems faced by many students who take majors because they follow their friends or parents and make it difficult for students to follow the available subjects according to the chosen majors and have an impact on student achievement. In analyzing the determination of the right major based on student expertise, the C4.5 algorithm is used. The classification of the C45 algorithm will produce a decision tree that can be used in determining the right direction. The results of the confusion matrix Classification of student value data in determining majors produce an accuracy value of 95.92%, class precision/class recall in Natural Sciences Major is 97.56%, class precision/class recall in Social Sciences Major is 87.50% and classification error is 4.08%. Decision tree results show the subject variables that influenced the selection of student majors were mathematics, science, ICT, skills, and tourism, The highest gain value lies in the Pariwista subject which is the root of the decision tree that is formed. The resulting rule is a math score above 82, a minimum science value of 84.5, a minimum ICT value of 85.5, so that students are more suitable for Natural Sciences Major. Meanwhile, if the value of mathematics is less than 82, tourism is less than 90.5 and skills are less than 84.5 then the student is more suitable for Social Sciences Major.
Combination of Euclidean Distance on X-Means Algorithm in Data Grouping Berti Sari Br Sembiring
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

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Abstract

Grouping can use clustering to group data based on the similarity between the data, so that the data with the closest resemblance is in one cluster while the different data is in another group. The X-Means algorithm is the development of K-Means. The weakness of X-Means is that in determining the distance matrix, the distance matrix is ​​an important factor that depends on the X-Means algorithm data set. The resulting distance matrix value will affect the performance of the algorithm. The results of the study are: testing with variations in the number of centroids (K) with values ​​of 2,3,4,5,6,7,8,9,10. The author concludes that the number of centroids 3 and 4 has a better iteration value compared to the number of centroids that are getting higher and lower based on the iris dataset with the jarax matrix Manhattan Distance. From the test results with the X-Means cluster point, calculate the Euclidean Distance distance with 100 iris data reaching the 9th iteration, while with 100 iris data by calculating the Manhattan Distance distance it reaches the 10th iteration. Meanwhile, in determining the cluster point using the X-Means method from 100 data iris reaches its 7th iteration.
Analysis Algorithm Apriori in Medical Device Supply Planning Desilia Selvida
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

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Abstract

The application of the Apriori Algorithm helps in forming possible candidate item combinations, then testing whether the combination meets the minimum support and confidence parameters which are the threshold values ​​given by the user. Even though until now, service activities and transactions at pharmacies have not experienced any significant problems, of course this situation will one day become an inhibiting factor in improving service as more and more transactions and types of items and transaction items are stored within a certain period of time, making it difficult for the pharmacy. in analyzing the types of items and itemset which consumers are most interested in or not interested in so that they can control the inventory of medical devices. The results of the study: The results of the pattern analysis above show that the greater value of support from a combination of medical devices provides recommendations for the medical devices most often purchased by consumers are thermometers, gauze, plaster, and elastic bandages. Conversely, the smaller the value of support for a combination of medical devices means that recommendations are given based on medical devices that are rarely purchased. The results of the application of the a priori method with a minimum support of 30% with a combination of 3 and 4 itemsets are if the thermometer, gauze, plaster, elastic bandages. The priori method used is quite effective in providing the final drug combination that is often purchased by consumers. The level of accuracy of the test using the a priori method is 100%.
Application of Expert System in Diagnosing Polycystic Ovary Syndrome Bahagia Tarigan
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

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Abstract

PCOS (Polycystic Ovary Syndrome) or polycystic ovary syndrome is a condition of impaired ovarian function in women of childbearing age. This condition causes the hormones of women suffering from PCOS to become imbalanced due to unknown reasons. The early signs of PCOS are irregular ovulation or fertility, increased levels of male hormones (androgens) in a woman's body, and the appearance of many cysts (fluid-filled sacs) on the ovaries. Things like that are very feared by women because women's nature is to conceive and have offspring, if it is not taken care of from the start or early on, it is not impossible for this to happen. But in fact, public knowledge is still low about Polycystic Ovary Syndrome, information about Polycystic Ovary Syndrome is still not well socialized to the public so that people still do not know how to handle and treat it. In diagnosing Polycystic Ovary Syndrome, there are several methods that can be used, including the Dempster Shafer method. From the results of the study, it can be concluded, among others: The expert system built can provide convenience for users to diagnose polycystic ovary syndrome, and can provide treatment solutions for the disease. The results of the diagnosis using the Dempster Shafer method have a better percentage value.
Analysis of AHP and SAW Methods in a Decision Support System for Determining Employee Positions Harianta Sembiring
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

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Abstract

Employees are an important asset for every company, because they greatly affect many aspects that determine the success of the company's work. A company will be able to run all its business processes well if all its employees can be well organized by the HR (Human Resources) section. Placement and utilization of resources in the right position is absolutely necessary. In this case, proper management and utilization of resources plays a very important role because it is a strategic approach to improving organizational performance. Determination of employee positions is still not effective because the job analysis in the employee placement section is not carried out properly so that employees do not know for sure the work he is doing in the company. In addition, many employees are not experts in the field of work they hold so that what they do on a daily basis is not in accordance with their abilities. From the results of the study, it can be concluded, among others: The application of a decision support system that was built can provide convenience and minimize errors that may occur in the process of determining employee positions. criteria for determining employee positions. The level of accuracy of the test results is 97%.

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