Journal of Computer Scine and Information Technology

Sistem Informasi Pendataan Keluarga Miskin Dengan Parameter Penghasilan Dan Kondisi Rumah Berbasis Web

2026-06-03T16:51:02+07:00

Efficient, Accurate And Safe Data Collection Is Needed For The Administration Of An Agency. This Information System for Data Collection for Poor Families Supports the Work of Employees to Perform Data Collection in an Efficient, Accurate, and Safe manner. And to help determine the objectivity of poor families. In accordance with the objectives of making an information system, this activity is carried out using research methods in the form of observation, documentary media, and library research. The Solok Ambah Nagari Office in carrying out data collection still uses manual data collection by recording on a piece of paper. And as technology develops, an information system for collecting data on poor families is created, intended to make it easier for employees to manage data and expand information to the public and related parties. In this information system, there are two users, namely Admin and Kaur. In the Information System for Data Collection for Poor Families, the Program is Made Using Php and MySQL as the Database. The resulting poor family data collection information system is equipped with a poor family report search facility. And this system can help Nagari Solok Ambah officers store population data, determine poor families

Sistem Informasi Penjualan di Cafe Sungrilla Outbound and Camping Berbasis Web

2026-06-03T16:55:35+07:00

Recently, the field of knowledge and technology has undergone rapid advancements, especially in the realm of computers and smartphones. Information technology is no longer just expected to serve as a tool for assisting and streamlining company operations; it has evolved into a strategic component for maintaining employee performance. In this regard, information systems utilizing computer resources are employed to aid in processing information according to a company's requirements. Recognizing the significance of this for a company, the author conducted research on the information system needs at Cafe Sungrilla Outbound and Camp Padang. Consequently, to fulfill the demand for an information system, the author conducted an analysis and designed an information system for the data processing of reservations, involving the collection of data and study of relevant theories associated with the reservation process

Shopping Cart Analysis to Support Business Management with the Apriori Algorithm

2024-04-01T09:40:18+07:00

The increasingly advanced development of the business world has led to increasingly fierce competition. One way to maintain the company's survival is to maintain good relationships with customers. Each market has its own way of increasing sales. Serambi Mart is one of the minimarkets operating in Batusangkar City. This minimarket is relatively new because it has been operating since 2020. Even though it is new, this minimarket is quite busy with consumers visiting for shopping, this is due to Serambi Mart management choosing the right location. Based on observations made, product layout arrangements are still based on subjective management, so there are several products that are not suitable to be compared. The layout seems messy, causing difficulties for consumers in shopping. By utilizing sales transaction data at Serambi Mart. This research uses the Apriori algorithm. The Apriori algorithm is an association rule and looks for relationship patterns between one or more items in data, using Association Rules with Minimum Support of 30% and Minimum Confidence of 50%. Therefore, an application is needed that can help Serambi Mart to get information. One way to get this information is to utilize data mining techniques. By using the Apriori Algorithm method for arranging the product layout at Serambi Mart, it is hoped that it can provide convenience to consumers who shop

Application of the FP-Growth Algorithm in Consumer Purchasing Pattern Analysis

2024-04-05T09:54:10+07:00

Technology is currently used in various ways, one of which is businesses engaged in selling daily products. The right marketing strategy makes knowledge of consumer shopping patterns important to study because consumers are the main actors in carrying out transactions. The more diverse the types of goods sold in a company, the more diverse the resulting consumer spending patterns will be. Data mining is an analysis process that is carried out automatically on complex and large amounts of data to obtain patterns or trends that are generally not realized. The FP-Growth algorithm is an alternative algorithm that can be used to determine the data set that appears most frequently (frequent itemset) in a data set. The method used in this research is the FP-Growth method which is implemented in the PHP programming language and MySQL as the database. Designing a data mining program using the FP-Growth method can analyze and manage consumer purchasing patterns based on goods purchased simultaneously. The data processed in this research is transaction data that has been processed into information so as to gain knowledge in calculating stock of goods sourced from the owner of Toko Asra. From testing this method, results were obtained from the 10 transactions in December 2021, by limiting the minimum support value to 0.2 and minimum confidence to 0.75, 33 patterns of consumer shopping habits were obtained, meaning that 33 products were most frequently purchased by consumers. Designing a data mining program using the FP-Growth method can help analyze consumer purchasing patterns based on items purchased simultaneously. The results of frequent itemset calculations can help find a sequence of combinations that can be used as product recommendations in business decision

Permanent Employee Assessment Decision Support System using the Simple Multi Attribute Rating Technique (SMART) Method

2024-04-22T14:11:35+07:00

Every agency or organization must be able to select and determine competent employees to fill vacant positions so that the main duties of that position can be carried out. To obtain information quickly and accurately about the assessment of permanent employees in accordance with the expected criteria, a decision support system is needed. Objective decisions are usually fair because they are in accordance with the facts and supported by data to produce a decision/recommendation that can make things easier for agency or organization leaders. By using the Simple Multi Attribute Rating Technique (SMART) method, it is hoped that it can help in making decisions about evaluating permanent employees. The SMART method uses a multiattribute decision technique which is used to support decision makers in choosing between several alternatives. This research aims to assist the leadership of the West Sumatra Ministry of Religion in making decisions regarding permanent employee recommendations for employees. The method used in this research is qualitative. Based on the test results, a weighting system is produced that takes into account the assessment factors that exist in employees. The results of the assessments that have been carried out will immediately produce data on employees who have competencies worthy of being promoted to a better career level. In the research, 6 criteria were used, namely cooperation , work ability, work discipline, loyalty, responsibility and communication. With 5 alternative data, calculations were carried out using the SMART method, the result that got the highest score was Endang Mesfitra with a final result of 0.7425. With the research results, the application can help leaders in providing assessments and the results of these assessments produce objective decisions so that leaders can recommend employees according to the criteria

Application of an Expert System with the Breadth First Search (BFS) Method in Diagnosing Areca Plant Diseases

2024-04-30T13:59:39+07:00

Current technological developments are growing very quickly and have produced a lot of software or systems that can make things easier for humans. Continuous scientific progress drives extensive technological development. One form of information technology known is an information system. One popular type of information system is an expert system, which can be used to improve various services. An expert system is a program that combines human knowledge into a computer to help solve problems that are usually solved by experts. This research aims to identify gaps in research that has been conducted, as well as encourage the development of new ideas and increase capabilities in utilizing existing research resources. Areca nut is a high agricultural resource so it has many benefits in the pharmaceutical industry. . The method that will be used in this research is Breadth First Search (BFS). The algorithm carries out the search process on all nodes that are at the same level or hierarchy one by one. An algorithm that performs a wide search that visits nodes in preorder, that is, visits a node first. There are 16 data on areca plant diseases here and have 33 symptoms which will be processed using the Breadth First Search Method. By diagnosing areca plant diseases using an expert system, it is hoped that we can find more in-depth information about diseases in areca palm trees.

Implementation of the Topsis and AHP Methods in the Decision Support System for Determining the Best Employees

2024-05-03T10:42:08+07:00

Every company or agency needs Human Resources (HR) in the form of employees who have competence and good performance. Employees are one of the most important assets owned by a company. The West Sumatra Province Transportation Service is the organizer of government affairs in the field of transportation or transportation policy for the West Sumatra Province region where the selection of the best employees is still not optimal using Microsoft Excel. The aim of designing a new system at the Provincial Transportation Service is to create optimization in the assessment of each employee to facilitate the recapitulation of employee data. The data is analyzed and processed according to the research framework, namely using a Decision Support System, especially the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Analytic Hierarchy Process (AHP) methods. In this research, 10 alternative employees were taken to be assessed. Based on formula calculations using the AHP method, it is used to determine the weighted value of each existing criterion, then the resulting values from the weighting are used to carry out rankings using the TOPSIS method. After carrying out calculations using these 2 methods, the result was that the best employee was alternative 9 in the name of Rusdi with a value of 0.9995. So with this calculation the results can show which employees have the right to be the best employees in that agency