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PENERAPAN DATA MINING PENJUALAN PIZZA DENGAN MENGGUNAKAN METODE APRIORI Rusdiansyah, Rusdiansyah; suharyanti, Nining; Triningsih, Triningsih; Murniyati, Murniyati
Sinkron : Jurnal dan Penelitian Teknik Informatika Vol 4 No 2 (2020): SinkrOn Volume 4 Number 2, April 2020
Publisher : Politeknik Ganesha Medan

Pizza is a processed food originating from Italy and has been spread in various other countries including one of them in Indonesia. Pizza is a processed food that is currently sought after by various groups of people so as to make the pizza business opportunity very profitable, if it is run in a food business. Currently the pizza business has very favorable prospects when compared to other businesses. Moreover, the targeted target can be from all walks of life from children to adults. Pizza sales transactions that produce sales data every day, have not been able to maximize the use of sales data. Sales data is only stored as an archive, so it becomes a pile of data. Therefore the use of data mining is used to solve this problem. A priori algorithm is a data mining method by using minimum support parameters, minimum confidence and will analyze in the period of every month of sales transactions. This study produces data on the results of the process of association rules from the data collection of sales transactions. From the association rules it can be concluded that the pattern of pizza sales, where consumers more often buy Meatzza and Cheese Mania, as evidenced by the results of calculations using Apriori Algorithm and Rapidminer 5.3, with support of 30% and 60% confidence.

Data Mining implementation on SMUN Scholarship recipient candidates using the C4.5 algorithm Rusdiansyah, Rusdiansyah; Supendar, Hendra; Suharyanti, Nining; Tuslaela, Tuslaela
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 4 (2022): Article Research: Volume 6 Number 4, October 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i4.11767

This research is motivated by SMUN previously only providing scholarships for underprivileged students, while for students who excel, the method is not yet, therefore, research by implementing data mining with the C4.5 algorithm method so that in the future, if the scholarship program is for outstanding students already exists, then SMUN can immediately apply it. The sample data are 33 scholarship recipients with subjects that have been determined based on the report card scores of prospective scholarship recipients. The selection results for receiving scholarships to outstanding students so far have only been calculated in general terms, the possibility of incorrect results will cause losses for students who have good achievements. As a result, there are students who should get the scholarship rights and do not receive it. The problem of this research is how to make it easier to analyze students who need and are entitled to receive scholarships, how to make it easier to select and determine scholarship recipients. The research uses the C4.5 algorithm to overcome these problems. With the C4.5 algorithm, the percentage accuracy value can be calculated which is used to determine whether the student is entitled to receive a scholarship or not. The data collection technique in this study is to use student report cards. classification value in determining students who get scholarships with the highest accuracy of 81.81%. The accuracy value was obtained by experimenting with the testing process with the number of student data as many as 33 students. It is hoped that it will make it easier to receive scholarships for students who excel academically in school.

Application of the Naïve Bayes Algorithm in Determining Sales Of The Month Supendar, Hendra; Rusdiansyah , Rusdiansyah; Suharyanti, Nining; Tuslaela
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 2 (2023): Research Article, Volume 7 Issue 2 April, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i2.12293

One important factor for creating a healthy and growing company is the existence of sales rewards for employees to achieve sales targets every month. Assessing employees is not an easy thing when there are so many employees. This will make the assessment team have to look at the criteria carefully and carefully. Data manipulation can occur because it is difficult to make decisions with such large criteria and data without automated data mining. As a result, the company will not get competitive human resources. Sales targets are one of the keys to sales success because with sales targets, the sales prediction value can be used as a guide as a reference in determining product sales. One way to make better sales predictions is by utilizing data mining processing using the Naive Bayes algorithm. The Naive Bayes algorithm calculates the probability value of each of the attributes examined including attendance, sales targets and sales returns. Research with employee absence criteria, monthly sales and monthly sales invoice returns. From the results of the research that has been done, it can be concluded that the application of the Naive Bayes classifier method to the target data set for sales of goods achieves an optimization level of 95.78%, with attendance criteria greatly affecting employee performance so that product sales targets each month can be achieved

Web Program Testing Using Selenium Python: Best Practices and Effective Approaches Rusdiansyah, Rusdiansyah; Suharyanti, Nining; Supendar, Hendra; Tuslaela, Tuslaela
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 2 (2024): Article Research Volume 8 Issue 2, April 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i2.13569

A critical component of software development is testing programs on websites to make sure they run, are secure, and meet user expectations. This article explores efficient methods and best practices for utilizing Selenium with the Python programming language to perform program testing on websites. This study shows the outcomes of Selenium WebDriver-based automated testing on two webpages: https://demoqa.com/text-box and https://demoqa.com/login. Testing was done to assess Selenium's dependability and performance when it comes to completing text fields and completing the login procedure. The goal of the study is to evaluate Selenium WebDriver's dependability and effectiveness in basic testing jobs while spotting any issues that may arise. Using the appropriate locator to fill in text boxes efficiently using Selenium WebDriver ensures that the operation proceeds without major hiccups. The effective completion of the login procedure on the https://demoqa.com/login page further demonstrates the dependability of Selenium WebDriver for handling increasingly complicated interactions, including login. According to the analysis's findings, Selenium WebDriver is a dependable and efficient solution for test automation that performs consistently and steadily under a range of conditions. The research's conclusions highlight how crucial it is to use automation technologies in order to ensure software quality and boost testing effectiveness. Software engineers can detect issues more rapidly and completely test the functionality of applications with Selenium WebDriver, which enhances the overall quality of software development

APLIKASI RANCANG BANGUN SISTEM INFORMASI AKUNTANSI PEMBELIAN SECARA TUNAI (STUDI KASUS: CV. PRESTASI GEMILANG JAKARTA) Suharyanti, Nining
Akrab Juara : Jurnal Ilmu-ilmu Sosial Vol. 4 No. 2 (2019)
Publisher : Yayasan Azam Kemajuan Rantau Anak Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar

In this globalization era, services and information that are fast and accurate and in accordance with needs have become a necessity, because of the many benefits that can be obtained from technology, for example, information produced with technology will be more accurate and faster, saving time and costs so that companies can increase revenue . To realize this, it requires a system that has been computerized, as a support for performance in terms of recording goods purchase transactions. Based on direct observations and the results of interviews the problems that occur are the systems used are still manual so that the recording process carried out has several weaknesses, such as the problem of loss of transaction data, a relatively long data search process, no integrated accounting records and timeliness in submitting accounting reports . Visual basic is one application that helps the system become computerized so that it becomes the best solution to solve these problems, so that in the data processing it is neatly organized, well integrated and in making financial reports more accurate.

APLIKASI PERANCANGAN PROGRAM PENJUALAN TOPI SECARA KREDIT (Studi kasus: Gudang Topi Cikampek Jawa Barat) Suharyanti, Nining; Murniyati, Murniyati
Akrab Juara : Jurnal Ilmu-ilmu Sosial Vol. 4 No. 4 (2019)
Publisher : Yayasan Azam Kemajuan Rantau Anak Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar

This study aims to design a Accounting Information System for Credit TOPI Sales that has not been computerized in the Karawang regency cap warehouse, to be computerized. Hat warehouse is a business that sells hat, which handles cash and credit sales. But the sales recording system still uses the recording in the ledger. The method used is interviews and observations, this research was conducted at the hat warehouse, which is located in Wncimekar, Kota Baru, Karawang District of Karawang. The results of research on the design of Accounting Information Systems for Sales of Hats on Credit, which can help in the process of selling hats. to be more effective and efficient in the process. So far, the company uses a manual system by recording all data and transactions in one book, so that it can cause data loss. With the proposed system of accounting information system design, the sale of hats on credit is expected to help companies manage data and transactions. The results to be achieved are the Accounting Information System for Credit Sales Hats consisting of, Data Collection System on Data of Goods, Data on Credit Packages, Customer Data, Credit Sales Transactions, Installment Transactions and Reports.

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