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Pintubipar, Saut
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RANCANG BANGUN SISTEM INFORMASI JASA PENJUALAN BARANG BEKAS BERBASIS WEB DI KOTA BATAM Montrado, Ricko; Pintubipar, Saut
Computer Science and Industrial Engineering Vol 7 No 2 (2022): Comasie
Publisher : LPPM Universitas Putera Batam

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The internet's quick development has made it possible to address more than just one person's demands; one such example is sales services. People can buy essential items at Sales Services and store used items that are no longer needed for sale there. The study's findings suggest that there are problems, particularly the fact that it is highly challenging to verify the purchase and sale because neither the vendor nor the customer gave comprehensive, thorough information. This study employs the waterfall research approach for the SDLC. The study's findings are effective in that admins can access information data from sellers and buyers, making it simpler for admins to confirm orders or confirm products they want to sell, and efficient in that visitors and users will find it easier to use web applications and admins will find it easier to manage product information data. The purpose of this application for the Used Goods Sales Service is to assist in the sale of used items that are no longer in use so that they might acquire value, such as cash or necessities.
DATA MINING UNTUK PROMOSI PRODUK MENGGUNAKAN METODE ASSOCIATION RULE PADA LOTTE GROSIR Rama, Rama Maulana Sugiarto; Pintubipar, Saut
Computer Science and Industrial Engineering Vol 8 No 2 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

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Implementation of association rules on Mini data is a method used to explore data and analyze transaction data at Lotte Mart. Purchase transactions made by consumers are analyzed using the a priori algorithm. In this study it is known that the data processed is data taken from a certain time span, but it is hoped that it can represent the entire population at Lotte Mart. The results of this study found that there are several transactions that can be used as a basis for promoting products sold at Lotte Mart, this information is taken based on the results of data processing using a support value of 30%. All the antecedents found in the priori algorithm that form association rules are like if a consumer buys plain bread and free-range chicken eggs at the same time then there is a 95% chance that the customer will buy a car and the frequency of this transaction is 55%. The association rule which is the most likely rule to occur is when a customer buys plain bread and Belfoods Fav in the same transaction, the customer will buy crab sticks. The author hopes that Lotte Mart management can use the recommendations of this research to increase sales and reduce goods being discarded or returned to suppliers
ANALISIS PENGARUH KUALITAS PELAYANAN DAN KEPUASAN PENGGUNA JASA TRANSPORTASI ONLINE GOJEK DAN GRAB DI KOTA BATAM MENGGUNAKAN ALGORITMA K-MEANS Firawani; Pintubipar, Saut
Computer Science and Industrial Engineering Vol 8 No 2 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

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In this era of economic development, many activities are carried out easily by today's society, especially in the field of transportation. With advances in the field of information technology such as the internet, it can affect various aspects of human life. So that companies that provide online transportation services are competing to provide services and facilities for their users. Because user satisfaction greatly affects the success or failure of a company. One of them is the Grab and Gojek companies. They are competing to improve services in the application for the satisfaction of the people who use it. In this last project, the author is interested in conducting research on customer satisfaction using data mining techniques, namely K-Means clustering algorithm and linear regression simplicity. This method can help the author in grouping the effect of Service Quality on Service User Satisfaction and enthusiasts of Gojek Grab Online Transportation in Batam City which is in the Batam City sub-district based on data from community respondents on the distribution of questionnaires that have been carried out by the author. In the final results there will be 5 categories, namely strongly disagree, disagree, neutral, agree, and strongly agree.
PERANCANGAN APLIKASI KAMUS BIOMOLEKUL MENGGUNAKAN METODE PROTOTYPE: PERANCANGAN APLIKASI KAMUS BIOMOLEKUL MENGGUNAKAN METODE PROTOTYPE Andi Sahlan; Pintubipar, Saut
Computer Science and Industrial Engineering Vol 11 No 1 (2024): Comasie
Publisher : LPPM Universitas Putera Batam

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Ketersediaan informasi terkait dengan istilah yang sering digunakan dalam bidang biomolekul dan beberapa bidang ilmu serupa bisa dibantu dengan mengembangkan sebuah sistem atau aplikasi yang menyediakan istilah biomolekul dengan nama kamus biomolekul. Istilah biomolekul sangat dibutuhkan oleh beberapa kalangan terutama mereka yang belajar dalam bidang ilmu biologi dan kimia titik istilah dalam biomolekul ini sulit untuk dihafalkan sehingga peneliti memutuskan untuk membuat rancangan dan membangun sebuah aplikasi kamus istilah biomolekul. penelitian ini dikembangkan dengan menggunakan algoritma Boyer-Moore atau lebih banyak dikenal dengan boyer-horspool algorithm. Dengan menggunakan atau memaksimalkan beberapa alat bantu Seperti alat pemodelan UML untuk membuat desain sistem dan menggunakan alat bantu perancangan seperti Visio dan juga alat pengembangan Android Studio. Hasil Penelitian ini berupa sebuah aplikasi yang mampu memberikan informasi yang lengkap terkait dengan istilah biomolekul, di mana pada aplikasi tersebut bisa dilihat oleh pengguna istilah biomolekul, Struktur atau rangkaian kimia dalam biomolekul serta definisi atau penjelasan dari biomolekul yang dicari oleh pengguna tersebut. Dalam aplikasi ini pengguna bisa menggunakan fitur pencarian untuk mencari istilah dalam dunia biomolekul. Aplikasi ini diharapkan membuat pengguna mudah dalam mencari informasi terkait istilah yang biomolekul.
Co-Authors Andi Sahlan Firawani Montrado, Ricko Rama, Rama Maulana Sugiarto