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Jurnal Mandiri IT
Published by Institute of Computer Science
ISSN : 23018984     EISSN : 28091884     DOI : https://doi.org/10.35335/mandiri
Core Subject : Science, Education,
Computer Science & IT Library & Information Science Mathematics
The Jurnal Mandiri IT is intended as a publication media to publish articles reporting the results of Computer Science and related research.
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 5 Documents
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Search results for , issue "Vol. 10 No. 2 (2022): January: Computer Science and Field." : 5 Documents clear
The Decision Support System Determines The Effectiveness Of The Pelita Nusantara Stmik Promotion Media With The Profile Matching Method Ramli S. Siburian; Agustina Simangunsong
Jurnal Mandiri IT Vol. 10 No. 2 (2022): January: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (267.514 KB) | DOI: 10.35335/mandiri.v10i2.91

Abstract

In carrying out promotional activities, the level of effectiveness of a promotional media used by the promotion team greatly influences the results to be achieved. Therefore, it is necessary to pay attention to which promotional media is more appropriate to use when conducting promotions. In decision making, the researcher uses the Profile Matching method. The Profile Matching method is used as a mechanism in decision making by assuming that there is an ideal level of predictor variables that must be met by the subject under study, not a minimum level that must be met or passed. In the Profile Matching process, a comparison process will be carried out between individual competencies into standard competencies, in this case the ideal Raskin profile, so that differences in competence can be known. From the decision-making process carried out will obtain the results of the most effective promotional media used in carrying out promotional activities.
Implementation of the C45 Algorithm in Classifying Classes Nellysa Putri Denila Nasution; Fristi Riandari
Jurnal Mandiri IT Vol. 10 No. 2 (2022): January: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (376.217 KB) | DOI: 10.35335/mandiri.v10i2.92

Abstract

Mts Swasta YPII Kotarih is one of the educational institutions which in its implementation classifies several classes for students, one of which is the superior class. However, in practice, each person is still selected based on the rank in each class, making the classification process less accurate and efficient, a computerized classification technique is needed in its implementation, the classification technique used by Data Mining is the c4.5 algorithm that works with the Decision tree to find the highest gain value from each criterion existing criteria, the criteria used in this study are the subjects of Q. Hadith, Akidah, Fiqh, SKI, Arabic, Tahfizh, General research results show that from There are 3 criteria that are most influential in the classification process, namely General, Arabic, Fiqh, implemented in the form of a computerized system. Based on the research results, the highest gain value is the highest gain is General with a value of 0.3629, so that the general attribute becomes node 1 or the root of the decision tree. second highest gain B.Arabic attribute, with a gain value of 1.7189, and the third highest gain is Fiqh with a value of 0.3486.
Plant Disease Diagnosis Expert System Cardamom (Ammomum Cardamomum l.) Using The Naive Bayes Method Web-Based Calvin Berkat Iman Hulu; Hengki Tamando Sihotang
Jurnal Mandiri IT Vol. 10 No. 2 (2022): January: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (294.485 KB) | DOI: 10.35335/mandiri.v10i2.94

Abstract

Diseases and pests on cardamom plants is one of the diseases and pests that can seriously attack cardamom plants. Cardamom plant diseases and pests can be diagnosed through the symptoms that are currently being experienced by the cardamom or through its clinical picture, through these symptoms an expert system can be made to make a diagnosis. An expert system is a system that seeks to adopt human knowledge to a computer that is built to solve problems like an expert. The expert system made in carrying out the diagnosis uses the Naïve Bayes method. This method is a simple probabilistic-based prediction technique based on the application of Bayes' rules with the assumption of strong (naive) independence. In other words, in Naïve Bayes the model used is an “independent feature model”. This expert system was built using PHP and MySQL programming as a database. In this expert system the types of cardamom disease diagnosed consisted of aphids, leaf-eating caterpillars, stem borers, fruit and roots, leaf beetles, mosaics, late blight, root rot, and fungus, which consisted of 33 symptoms. While the results of the diagnosis will inform about the results of the diagnosis containing a list of symptoms entered, information on the results of regulations regarding diseases and pests that are attacking cardamom plants and information about possible treatments that can be carried out and treatment solutions.
Total Prediction Decision Support System Bakery and Cake Production Using Mamdani Fuzzy Method: Case Study: Neko-Neko Bakery & Cake Branch Burned Stone, Deli Serdang Evi Rianto; Jonson Manurung
Jurnal Mandiri IT Vol. 10 No. 2 (2022): January: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (281.675 KB) | DOI: 10.35335/mandiri.v10i2.95

Abstract

The decision support system for predicting the amount of bakery and cake production using the fuzzy mamdani method is one of the processes for determining the prediction of the amount of bakery and cake production for the next month so that the desired production amount is according to needs. Neko-Neko Bakery & Cake so far in predicting the amount of production where the demand for bakery and cake is sometimes not fulfilled considering that the available bakery and cake production is not sufficient because the bakery and cake supplies in the production section do not meet and vice versa, namely the amount of production sometimes experiences excess in production. production so that it is not in accordance with demand, then there is often an error in predicting the amount of production in producing bakery and cake because the number of bakery and cake productions produced is not really needed while bakery and cake which are often needed are not produced since so far the Neko-Neko Bakery and Cake in Prediction data collection on the number of bakery and cake productions only relies on the Microsoft Office Excel application system where the data that is processed or processed is sometimes double in value. The method used in the decision support system to predict the amount of bakery and cake production is fuzzy mamdani. Mamdani fuzzy method is one method that has a simple structure and easy to understand. Mamdani fuzzy logic uses MIN-MAX or max-product operations with a predetermined set of rules, namely the previous IF…AND…THEN. Based on the application of this mamdani fuzzy method in predicting the amount of bakery and cake production, it can be stated that it is very feasible to apply to Neko-Neko Bakery & Cake. This decision support system was built using the PHP programming language and MySQL database.
Expert System To Diagnose Beengal Cat Disease With Case Based Reasoning Method Ananda Friska Utami; Jonson Manurung
Jurnal Mandiri IT Vol. 10 No. 2 (2022): January: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (232.643 KB) | DOI: 10.35335/mandiri.v10i2.96

Abstract

At this time, many animal lovers keep pets. Cat or cattery owners sometimes find it difficult to diagnose pet cat diseases because cat diseases are not the same as human diseases, which are easy to diagnose and provide visible symptoms. Horas Cattery is a breeding ground and provider of pet cat adoption services, including Bengal cats. From the observations of the authors at Horas Cattery, understanding of the symptoms of cat diseases is still lacking, so they still rely on the expertise of experts manually, in addition, the cost for treatment to a veterinarian is very expensive and there are still few veterinarians. In this case, the research conducted at Horas Cattery uses the Case Based Reasoning method which is one of the methods of the expert system to diagnose Bengal cat disease because the method is based on knowledge from previous cases. Based on the research conducted, it was found that the case with the lowest weight was case 13, which was 0.2. Case 2 produces a high weight of 0.6667. So the results of calculations with weights show a confidence level of more than 60%.

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