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All Journal JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Jurnal Sains dan Teknologi TRIDARMA: Pengabdian Kepada Masyarakat (PkM) INFOKUM Jurnal Pengabdian kepada Masyarakat Nusantara Digital Transformation Technology (Digitech) Jurnal ICT : Information and Communication Technologies
Petti Indrayati Sijabat
STMIK Pelita Nusantara, Medan
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Library & Information Science Mathematics Mechanical Engineering Physics Social Sciences

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APRIORI ALGORITHM FOR THE DETERMINATION OF THE GOODS SALES MARKET BANK Fricles Ariwisanto Sianturi; Petti Indrayati Sijabat; Amran Sitohang; R. Mahdalena Simanjorang
INFOKUM Vol. 9 No. 1,Desember (2020): Data Mining, Image Processing,artificial intelligence, networking
Publisher : Sean Institute

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Abstract

Data mining a process of finding meaningful new relationships, patterns, and trends by filtering the huge data stored in the database using pattern recognition techniques. One of the data mining techniques is the a priori algorithm. A priori algorithm is defined as an algorithm for finding the highest frequency patterns. Currently, the a priori algorithm has been implemented in various fields, one of which is in the field of business or trade and the field of education. Market basket analysis technique or market basket analysis is a data mining technique that aims to find products that are often purchased simultaneously from transaction data. Bina Karya Swalayan is a modern market that has various types of goods. Where in the supermarket there are still some problems faced by a manager and employees
IMPLEMENTATION OF QUANTITATION TECHNIQUES TO PERFORM RGB IMAGE COMPRESSION Petti Indrayati Sijabat
INFOKUM Vol. 9 No. 1,Desember (2020): Data Mining, Image Processing,artificial intelligence, networking
Publisher : Sean Institute

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the use of RGB images is a necessity in various fields. However, its use is constrained by the large file capacity, but it is possible to compress the images that are owned as needed. With the quantization method, the R matrix, G matrix and B matrix will be reduced in level, so that the number of bits used to represent the image is reduced. Because the number of bits is reduced, the file size becomes smaller. The quantization method is included in the Lossy Compression category, so that the compressed image cannot be decompressed again because there is missing information. Image compression is an image compression process that aims to reduce duplication of data in the image so that less memory is used to represent the image than the original image representation. There are factors why the image compression process is very appropriate so that there is no significant correlation between pixels and neighboring pixels
CASE BASED REASONING FOR HANDLING FINAL STUDENT GRADUATION PROBLEMS AT STMIK PELITA NUSANTARA Petti Indrayati Sijabat; Endra AP Marpaung
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

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Handling the graduation of problematic final students at STMIK Pelita Nusantara is very much needed during this pandemic considering the problems that were passed in 2020 and many students did not graduate on time due to many problems such as academic problems, study programs and finances. The number of problematic final student problems is caused by quite a number of cases. Examples are students who do not attend lectures according to the curriculum schedule that should be followed, including non-active students for several semesters, students who fail to exceed the minimum standards set by the study program, students do not pay tuition administration fees and students do not know or are not active to get good information academically. and students do not complete the thesis within the stipulated time. The problem is that many students do not graduate on time due to many problems such as academic problems, study programs and finances. This problem is like a student who does not attend lectures for 1 year but can still continue his lectures which happened in the final semester. From the research conducted, it is expected to produce a decision support system that is able to become a medium of information for students and study programs to disseminate information on academic sanctions for students who commit violations
EXPERT SYSTEM TO DIAGNOSE POLYCYSTIC OVARY SYNDROME (PCOS) USING THE NAÏVE BAYES METHOD Agustina Simangunsong; Petti Indrayati Sijabat; Evi Ningsih Ana Giawa
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

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Abstract

The development of information systems and technology including expert systems that use facts, techniques and knowledge and reasoning in solving problems. The expert system that is currently developing is a system that adopts the knowledge of an expert in a particular field. In everyday life, we often encounter problems faced by humans, including disease problems in the human body, so we need to consult an expert in the health sector to solve these problems. However, sometimes patients with disease cannot consult an expert due to the large number of patients as well as time and cost issues. In light of these existing problems, it is necessary to develop a system that can help these patients, namely by developing an Expert System model for diagnosing Polycystic Ovary Syndrome (PCOS) using the Naïve Bayes method. The Naïve Bayes method will assist in diagnosing the disease.
Co-Authors Amran Sitohang Amran Sitohang Arjon Samuel Sitio Endra AP Marpaung Evi Ningsih Ana Giawa Fristi Riandari hendra marpaung Jonson Sianipar Murni Marbun Nuraisana Nuraisana R. Mahdalena Simanjorang R. Mahdalena Simanjorang Romel Sibarani Simangunsong, Agustina Sulindawaty, Sulindawaty Yulianus Zai