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Rima Liana Gema
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INDONESIA
Journal of Computer Scine and Information Technology
Published by Universitas Putra Indonesia YPTK Padang
ISSN : 25021486     EISSN : 25021486     DOI : https://doi.org/10.35134/jcsitech
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology
Journal of Computer Science and Information Technology is a threetly journal published by Universitas Putra Indonesia YPTK, Padang. It publishes scientific and technical papers describing original research work or novel product/process development. The objectives are to promote exchange of information and knowledge in research work, new inventions/developments of Computer Science and on the use of Information Technology towards the structuring of an information-rich society and to assist the academic staff from local and foreign universities, business and industrial sectors, government departments and academic institutions on publishing research results and studies in Computer Science and Information Technology through a scholarly publication. This journal is useful to researchers, engineers, scientists, teachers, managers and students who are interested in keeping a track of original research and development work being carried out in the broad area of computer science. Subjects covered by this journal are: Algorithms, Artificial intelligence, Computer graphics, Compiler programming and languages, Computer vision, Data mining, High performance computing, Information technology, Internet computing, Multimedia, Networks, Network Security, Operating systems, Quantum learning systems, Pattern Recognition, Sensor networks, Soft computing.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 75 Documents
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Determining Alternative Mechanical Quality of Aluminum for Making Ordered Equipment Using the Multifactor Evaluation Process (MFEP) Method Lony Armawati Tambunan; Rini Sovia; Wifra Safitri
Journal of Computer Scine and Information Technology Volume 9 Issue 4 (2023): JCSITech (Accepted)
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v9i4.86

Abstract

Many various types of industrial companies use aluminum to support their industrial productivity. One of the reasons companies use this aluminum material is because aluminum is a good electrical conductor, light and strong. In determining which aluminum metal is suitable to be used to make ordering equipment, of course the metal with the best quality must be chosen so that the production of aluminum equipment is in demand by many consumers. Multi Factor Evaluation Process (MFEP) method, all criteria which are important factors in making considerations are given weighting. (weighting) is appropriate. Decision making using the Multi Factor Evaluation Process method is carried out subjectively by considering several factors that influence alternatives. While selecting metal, SMEs still record manually, so it takes quite a long time to make decisions. Not only that, determining the quality of aluminum metal also involves visual observations just by looking at the durability and assessing the physical metal. To overcome the problems faced by the old system. then a new system was formed, where the selection process could be carried out by Toko Berkah Qory Siregar Aluminum without waiting a long time . The results obtained based on calculations are Aluminum A, namely Blue Sky Aluminum with a preference value of 100.
Gastric Diagnosis Expert System using the Fuzzy Mamdani Method Rozizah Dwi Gusni; Eva Rianti; Firna Yenila
Journal of Computer Scine and Information Technology Volume 9 Issue 4 (2023): JCSITech (Accepted)
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v9i4.87

Abstract

The stomach is one of the important digestive organs in humans. Gastric disease is inflammation of the stomach lining caused by microorganisms, this disease is caused more by Helycobacterpylori bacteria, apart from being caused by bacteria, stomach disease can also be caused by irregular lifestyle and eating patterns. Diseases that attack the stomach are still considered trivial by the general public, so not many people know about stomach diseases and the symptoms that exist. This is what causes people to be reluctant to see a doctor when they suffer from pain that attacks the stomach. When a disease attacks the stomach, people only use experience or intuition to cure it, so it is not treated properly. By using an expert system, patients can save time going to the hospital and can improve service to patients. The results of the Mamdani fuzzy logic calculations require a report on the possibility of stomach disease suffered by the user/patient, examples of possibilities are small, somewhat large and large based on the highest value results. It is hoped that with this system, it will be easier for patients to diagnose gastric diseases to carry out prevention and early diagnosis and treatment.
Certainty Factor Method for an Expert System for Orthopedic Disease Diagnosis Intan Savilla; Eva Rianti; Firna Yenila
Journal of Computer Scine and Information Technology Volume 9 Issue 4 (2023): JCSITech (Accepted)
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v9i4.88

Abstract

Health is an important thing in human survival, including bone disease. Some people think that bones are passive, dead tissue, but they are not. Bones and skeleton are a very important part of orthopedics. Bones are not only a framework that strengthens the body but are also part of the structure of joints, as protection for the body, where the ends of muscles are attached. One of the diseases that is widely felt in society is bone disease. Bone disease is a condition that damages the skeleton and makes bones weak and susceptible to fractures. The high rate of diseases that attack the bones is caused by the conditions and behavior of society, such as stress, lack of exercise, wrong diet. Another cause is also ignorance and lack of knowledge about bone disease itself. By using an expert system, patients can save time going to the hospital, because the system replaces experts in their field, especially chiropractors. The method that will be used in this research is the Certainty Factor Method. The results obtained later are diagnostic results based on the symptoms entered and issued in the form of decisions and percentages. The diagnosis results identified Cervical Spondylosis (Nerve Pain) with a confidence level of 89.60%. It is hoped that this expert system will make it easier for patients to diagnose bone disease and carry out initial treatment in treating the disease.
Decision Support System for Determining the Best Pesticide for Rice Plants Using the Moora Method Resvi Ansiska; Eva Rianti; Wifra Safitri
Journal of Computer Scine and Information Technology Volume 9 Issue 4 (2023): JCSITech (Accepted)
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v9i4.89

Abstract

completed quickly and performed effectively and efficiently, especially in the agricultural sector. Pesticides are chemical or organic substances that farmers use to protect rice plants from pests , so farmers often have difficulty choosing pesticides that will be used to prevent rice pests. In fact, the large number of pesticide products on the market and their very different advantages make farmers confused in determining pesticide choices. The Harapan Jaya farmer group always provides counseling and training regarding the management of agricultural products, therefore the farmer group continues to maintain rice production to avoid pests and there is no shortage of rice plants at this time by using pesticide products on the market. Decision Support Systems (DSS) are systems that are able to provide problem solving abilities and communication abilities for problems with structured and unstructured conditions. The method in the decision support system is Multi Objective Optimization on the basis of Ratio Analysis (MOORA). The results obtained from this calculation method are Rodenticide with a value of 0.288 which is ranked first and the fifth rank is Insecticide with a value of 0.047. By implementing a decision support system using the MOORA method, it is hoped that it will help select interconnected outputs, because the decision results are based on criteria data in determining the best pesticide for rice plants
Development of a Service Quality Analysis Information System with the Importance Performance Analysis Method Riyan Saputra; Firna Yenila; Sepsa Nur Rahman
Journal of Computer Scine and Information Technology Volume 9 Issue 4 (2023): JCSITech (Accepted)
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v9i4.90

Abstract

Service is an activity where a company helps customers solve their problems. Good service quality can make customers loyal to the company. To maintain service quality, service performance is measured. The Importance Performance Analysis (IPA) method is one method that can be used to measure service performance from a customer perspective. Qanaah Carpet Shop is a business that operates in the field of goods and services. By using the IPA method, Toko Qanaah Karpet measures its service performance manually using paper media, which makes analysis ineffective and inefficient. This research aims to build an information system that can analyze service quality using the IPA method. The analysis was carried out by measuring 30 service attributes which were divided into 5 dimensions, namely: Tangible (Physical evidence), Reliability (Reliability), Responsiveness (Responsiveness), Assurance (Guarantee), and Empathy (Empathy). Data collected through a questionnaire involved 50 respondents. The results of this research show that there are 6 attributes in quadrant A, 10 attributes in quadrant B, 8 attributes in quadrant C, and 6 attributes in quadrant D. Companies can take action to maintain and improve service attributes in accordance with the recommendations from the results of this research.

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