Journal of Computer Scine and Information Technology
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.
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<![CDATA[Grouping Building Material Sales for Management Optimization with the K-Means Algorithm ]]>
<![CDATA[Nofet Putri]]>;
<![CDATA[Abulawafa Muhammad]]>;
<![CDATA[Raja Ayu Mahessya]]>
<![CDATA[ Journal of Computer Scine and Information Technology Volume 9 Issue 3 (2023): JCSITech ]]>
Publisher : <![CDATA[Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.35134/jcsitech.v9i3.74
<![CDATA[Sales transactions at the Pedi Building Store are recorded in the daily logbook provided by the store, so that it cannot be immediately known which types of products are selling well or which are not selling well. To overcome this problem, an analysis of sales data is carried out using the K-Means Algorithm. The K-Means algorithm is an algorithm that requires as many input parameters and divides a set of objects into clusters so that the level of similarity between members in one cluster is high, while the level of similarity with members in other clusters is very low. This study aims to determine the types of products that sell well and don't sell well. The data used in this analysis are 100 data samples with 2 clusters formed, namely unsold goods (Cluster 1) and salable goods (Cluster 2). With the analysis of the K-Means Algorithm, it produces 4 data items that are not selling well (Cluster 1), while 96 data items that sell well (Cluster 2). With the results of the analysis of the K-Means Algorithm, a sales application was developed for the Pedi Building Store which is managed by the analysis of the K-Means Algorithm. The application makes it easy for sellers to manage data to form sales processes of salable and less salable goods]]>
<![CDATA[Utilization of IT Business Management for Marketing Development with the Analytical Hierarchy Process Method ]]>
<![CDATA[Andreas Malau]]>;
<![CDATA[Sumijan]]>;
<![CDATA[Muhammad Hafizh]]>
<![CDATA[ Journal of Computer Scine and Information Technology Volume 9 Issue 3 (2023): JCSITech ]]>
Publisher : <![CDATA[Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.35134/jcsitech.v9i3.75
<![CDATA[Marketing development is an important factor in a business that must be considered to increase market share. Choosing the right marketing strategy greatly influences the smooth running of sales. This study aims to determine a decision on the right marketing method so that it can be applied by Rozi Bike Shop in expanding its market share. Determination of the marketing strategy at the Rozi bicycle shop is determined based on four criteria, namely organization, product, place and distribution channel. The four criteria are analyzed and processed using the Analytical Hierarchy Process (AHP) method in order to obtain an appropriate marketing decision to implement. method The Analytical Hierarchy Process (AHP) is a multicriteria decision method for solving complex or complex problems, in unstructured situations into parts (variables) which are then formed into functional hierarchies or network structures. The results of calculations using the AHP method show that Strategy A (Technological Innovation) gets the highest value, namely 0.46984 . The results obtained from this study are a decision-making system designed using the AHP method and the application of IT business management in developing the store's marketing.]]>
<![CDATA[Implementation of Certainty Factor in an Expert System for Diagnosing Pests and Diseases of Tomato Plants ]]>
<![CDATA[Hafizul Fadli]]>;
<![CDATA[Sofika Enggari]]>;
<![CDATA[Sepsa Nur Rahman]]>
<![CDATA[ Journal of Computer Scine and Information Technology Volume 9 Issue 3 (2023): JCSITech ]]>
Publisher : <![CDATA[Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.35134/jcsitech.v9i3.76
<![CDATA[Tomatoes are a plant that is currently widely planted by farmers. Environmental factors and stable selling power are the reasons why this plant is popular with Indonesian farmers. However, that doesn't mean tomato plants don't have growth problems. Diseases such as leaf rot, fusarium wilt, bacterial wilt and leaf scorch are still the main factors inhibiting the decline in yield and quality of tomato plants in Indonesia. This is because farmers do not understand the correct diagnosis of tomato diseases. Misdiagnosis of diseases causes the use of pesticides that are not appropriate, resulting in damage or failure of tomato plants. When diagnosing tomato diseases, you need a farm advisor who can accurately diagnose tomato diseases. In this study, an expert system for diagnosing tomato plant diseases was built to determine pest and disease diagnoses and provide solutions and suggestions for existing diseases based on the selected symptoms. The method used in this expert system is certainty factor. This method was chosen because the certainty factor measures the value of a hypothesis's belief in a fact. These values are divided into two parts, namely MB and MD. The results of applying the confidence factor method to an expert system for diagnosing tomato plant diseases with examples of cases of late blight diagnosis by selecting the appropriate symptoms obtained a percentage of 97%, so it can be interpreted that the use of this method has the opportunity to solve problems in tomato plants]]>
<![CDATA[Implementation of a Decision Support System for Selection of Used Motorbikes using the Simple Additive Weighting Method ]]>
<![CDATA[Afridho Rahman]]>
<![CDATA[ Journal of Computer Scine and Information Technology Volume 9 Issue 3 (2023): JCSITech ]]>
Publisher : <![CDATA[Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.35134/jcsitech.v9i3.77
<![CDATA[Motorized vehicles are one of the means of transportation that is widely used in society. In a traffic jam, the motor can provide good mobility. Motorcycles are one of the primary needs for the middle-class economic community. The economic limitations of some people to buy a new motorbike are experiencing problems. So the alternative way is to choose to buy a used motorbike. Not a few consumers who want to buy a used motorcycle at a slightly cheaper price but with a quality brand. On the grounds of a lack of funds or simply wanting to replace a used motorbike, buying a used motorbike can be an option to meet these needs. The SAW method is a method that is often used to make a decision using a weighted algorithm and requires matrix normalization which has alternative rating scales available. To overcome existing problems, it is necessary to implement a decision support system in selecting the best used motorbike in order to provide a structured assessment that can help visitors in choosing the best used motorbike using the Simple Additive Weighting (SAW) method. With the existence of a decision support system for selecting used motorbikes that applies the SAW method, it is hoped that this system can help visitors choose the best used motorbike, can fulfill information needs relating to selecting the best used motorbike, and can answer and assist admins and visitors in solve the problem of selecting the best used motorcycle.]]>
<![CDATA[Implementation of a Rabbit Disease Diagnosis Expert System using the Forward Chaining and Certainty Factor Method ]]>
<![CDATA[Mayang Sajida]]>;
<![CDATA[Eva Rianti]]>;
<![CDATA[Sepsa Nur Rahman]]>
<![CDATA[ Journal of Computer Scine and Information Technology Volume 9 Issue 3 (2023): JCSITech ]]>
Publisher : <![CDATA[Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.35134/jcsitech.v9i3.78
<![CDATA[An expert system is a system that adopts the expertise of an expert in a particular field into the system. Rabbits are one of the animals that are close to humans and have high body adaptability. However, rabbits are not free from the threat of disease. Treatment requires more costs so we need a way to find out the disease and the solution so that we can take the necessary actions. To overcome this, an expertise media was created that can be accessed by rabbit owners online using the Forward Chaining and Certainty Factor methods. The expert system must be able to work under uncertainty, so the Forward Chaining (FC) and Certainty Factor (CF) methods were added to overcome this problem. Forward Chaining is a decision making method that is commonly used in expert systems and the Certainty factor method is a method to prove the uncertainty of an expert's thinking. The system diagnosis results display possible diseases suffered by rabbits and provide treatment solutions for diseases with the largest CF values. With the calculation results, the level of confidence information based on the table is Definitely Yes. The accuracy of the system output is proven from the results of system validity with experts.]]>
<![CDATA[Application of the Weighted Product Method to the Decision Support System for Selection of the Best Teacher Performance ]]>
<![CDATA[Hidayatullah]]>;
<![CDATA[Surmayanti]]>;
<![CDATA[Syafrika Deni Rizki]]>
<![CDATA[ Journal of Computer Scine and Information Technology Volume 9 Issue 3 (2023): JCSITech ]]>
Publisher : <![CDATA[Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.35134/jcsitech.v9i3.79
<![CDATA[Teachers are professional educators with the main task of educating, guiding, teaching, directing, assessing, training and evaluating students in early childhood education through formal basic education and secondary education. Teacher performance evaluation is an assessment of each item of the teacher's main task activities in the context of career development, rank and position. Assessment of performance achievements is based on several criteria that will be calculated. There are various ways or steps that can be taken to carry out the calculation process when the assessment takes place, one of which is to design an information system that can present information on the results of teacher reward recipient recommendations that are fast and precise and has high precision and accuracy values, this system is Decision Support System (SPK) or Decision Support System (DSS). Therefore a Decision Support System (SPK) with the Weighted Product (WP) method is needed which will determine the best choice and according to predetermined criteria from SD Negeri 10 Batang Anai. The Product Weighted method is a settlement method using multiplication to connect attribute ratings, where the rating must be raised to the first power of the attribute weight in question. So that the process is faster and data management in the form of process results reports can be managed and stored safely and easily. The result obtained which has the highest value is alternative A04 on behalf of Tri Murni, S.Pd with a value of 0.252]]>
<![CDATA[Decision Support System in the Selection of Used Motorcycles with the Multi Attribute Utility Theory (MAUT) Method ]]>
<![CDATA[Adma Qhory Dwi Nanda]]>;
<![CDATA[Liga Mayola]]>
<![CDATA[ Journal of Computer Scine and Information Technology Volume 9 Issue 3 (2023): JCSITech ]]>
Publisher : <![CDATA[Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.35134/jcsitech.v9i3.80
<![CDATA[Transportation is a tool that is useful for moving goods or people in a certain quantity, to a certain place, within a certain period of time. The need for means of transportation has now become a primary need. Compared to public transportation, some people prefer to use private vehicles, especially motorbikes. Besides being an agile and practical means of transportation when used to get through traffic jams both in the city and outside the city, motorcycle fuel consumption is lower when compared to four-wheeled vehicles. As the times progress, more and more motorbike choices are offered by motor manufacturers. With the many latest motorbike outputs coupled with the increasingly intensive advertising of new motorbikes, some consumers are interested and encouraged to exchange (sell) their motorbikes and replace them with the latest motorbikes, so this creates used motorbikes that are still fit for use to be re-traded to consumers. other. Rifdah Motor Khatib is a company engaged in the sale of used motorbikes. The problem experienced by Rifdah Motor Khatib is the difficulty in processing used motorbike sales transactions because the recording process still uses the manual method , namely recording directly in the ledger and in the form of notes on the purchase of used motorbikes. The process takes a long time to record sales of used motorcycles. To overcome this problem, a decision support system was designed using the Multi Attribute Utility Theory (MAUT) method. From the results of the study it was found that the system can assist the company in making decisions on the selection of the best used motorbikes that are effective and efficient]]>
<![CDATA[Application of the Topsis Method in Selecting the Best Laying Chicken Feed ]]>
<![CDATA[Lanni Putri Nami]]>;
<![CDATA[Muhammad Ikhlas]]>;
<![CDATA[Radius Prawiro]]>
<![CDATA[ Journal of Computer Scine and Information Technology Volume 9 Issue 3 (2023): JCSITech ]]>
Publisher : <![CDATA[Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.35134/jcsitech.v9i3.81
<![CDATA[A person's limited ability in a particular field makes them think hard about getting a job that can fulfill their daily needs. Now many people are starting to try to switch to the world of animal husbandry. One of them is raising chickens to take their eggs. Choosing good laying hen feed is a very important main factor, especially for consumption by laying hens. Therefore, a decision support system was designed in selecting the best laying hen feed using the Techinique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The TOPSIS method is an approach that determines solutions based on the closest distance from the positive ideal solution and the furthest distance from the negative ideal solution in order to obtain the optimal alternative. The result achieved is that the system is able to show which laying hen feed has the best quality which will become laying hen feed for laying hen breeders based on predetermined criteria so that Sinar Animal Husbandry can easily determine the best laying hen feed . The results of calculations using the Topsis method showed that alternative A3, namely HI-PRO-VITE 124, had the highest value with an alternative value of 0.6568]]>
<![CDATA[Implementation of a Decision Support System for Contract Employee Recruitment Selection using the Simple Multi Attribute Rating Technique (SMART) Method ]]>
<![CDATA[Muhammad Akhif]]>;
<![CDATA[Silfia Andini]]>;
<![CDATA[Dinul Akhiyar]]>
<![CDATA[ Journal of Computer Scine and Information Technology Volume 9 Issue 3 (2023): JCSITech ]]>
Publisher : <![CDATA[Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.35134/jcsitech.v9i3.82
<![CDATA[LPMP West Sumatra is a company in the technical implementation department of the Ministry of Education and is led by leadership and is responsible to the Director General for Improving the Quality of Educators and Education Personnel (PMPTK). The selection process for hiring contract employees has difficulties because the system is still manual where all the processes from the initial stage of registration selection to the final stage of registration selection are all done manually so it takes quite a long time and is troublesome and drains a lot of energy and energy for the company management. . So there is a need for an online selection information system for contract employee recruitment at LPMP West Sumatra such as a decision support system. This Decision Support System (DSS) uses the Simple Multi Attribute Rating Technique (SMART) method. The SMART method is a decision-making method for handling multi-criteria problems based on calculating the criteria weights for each alternative. The aim of this decision support system was to be able to assist the selection process for hiring contract employees at LPMP West Sumatra quickly, precisely and accurately. The results obtained by the alternative with the name of the prospective contract employee were Ririn Novrianti with a score of 0.755. This helps West Sumatra LPMP leaders in determining prospective contract employees who meet the requirements for employment]]>
<![CDATA[Poor Family Classification Decision Support System using the Simple Additive Weighting (SAW) Method ]]>
<![CDATA[Lili Amareza Patriani]]>;
<![CDATA[Sumijan]]>;
<![CDATA[Sofika Enggari]]>
<![CDATA[ Journal of Computer Scine and Information Technology Volume 9 Issue 3 (2023): JCSITech ]]>
Publisher : <![CDATA[Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.35134/jcsitech.v9i3.83
<![CDATA[Poverty is a problem that continues to be the focus of attention for the government. Poverty has also caused people to be willing to sacrifice anything for their survival. To anticipate this problem, various policies have been adopted by the government to break the chain of poverty. One of them is providing assistance funds to poor families (PKH). This is felt directly by all levels of underprivileged society. One of the efforts of the Koto Ranah Tapan government to eradicate poverty that occurs in Koto Ranah Tapan is to follow the central government program, namely the launch of government financial assistance (PKH). These funds will be distributed to poor residents in Koto Ranah Tapan through the nagari guardian office in Koto Ranah Tapan. However, the distribution of aid funds to poor families is often not on target due to a large level of manual calculation error which makes the aid not on target and also the office of the nagari village of high cliff village has not been able to objectively determine the families who receive the aid. To help determine which families are worthy of receiving poor family assistance funds, a decision support system is needed. With this Decision Support System (DSS), it is hoped that the decision-making process can minimize the occurrence of wrong targets that often arise in the process of selecting poor families who wish to receive aid funds . In this calculation the author uses the Simple Additive Weighting (SAW) method, because this method is suitable for accurate calculations and is very helpful in calculating any data obtained. The results obtained were that Ade Irma Suryani got the highest score with a score of 10.8 and was ranked at the top (Best 1), so she could be considered the best recipient of aid funds.]]>
