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INDONESIA
Ladang Artikel Ilmu Komputer
Published by Universitas Bina Sarana Informatika
ISSN : -     EISSN : 28081730     DOI : https://doi.org/10.31294/larik.v2i2
Core Subject : Science,
Computer Science & IT
Jurnal Larik : Ladang Artikel Ilmu Komputer adalah jurnal yang berisi artikel penelitian dan studi ilmiah dalam bidang ilmu komputer dan Informatika khususnya sistem otomasi, kecerdasan buatan, pembelajaran mesin dan penambangan data.
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 4 Documents
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Search results for , issue "Vol 1 No 2 (2021): Desember 2021" : 4 Documents clear
Implementasi Data Mining Untuk Analisa Data Penjualan Cat Menggunakan Algoritma Apriori dan Fp Growth (Studi Kasus PT.Sumbermas Unggul Nastari) Widi Setiana; Della Andina; Nabhilah Deviani; Numan Musyaffa
Jurnal Larik: Ladang Artikel Ilmu Komputer Vol 1 No 2 (2021): Desember 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (236.131 KB) | DOI: 10.31294/larik.v1i2.674

Abstract

PT.Sumbermas Unggul Nastari provides paint products with a variety of brands. Every day there is a sale of goods transactions that result in a lot of sales transaction data that accumulates. Researchers are interested in implementing and then comparing two association rule algorithms, namely a priori algorithm and FP-Growth to provide minimum support information that best suits the need to produce the highest frequent itemsets. The results obtained are, JAC with 66% support, JB with 66% support, and results that meet the minimum 70% confidence requirements such as If you buy JAC you will buy JB with 80% confidence, If you buy JB you will buy JAC with 100% confidence.
Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik Menggunakan Metode Profile Matching Pada Alia Citra Dekorasi (ACD) Selvia Septi Palupi; Satia Suhada
Jurnal Larik: Ladang Artikel Ilmu Komputer Vol 1 No 2 (2021): Desember 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (316.277 KB) | DOI: 10.31294/larik.v1i2.705

Abstract

Employees are one of the main things in a company both in the progress, smoothness, and success of a company, the role of employees is very important. The company realizes how important the role of employees is in the success of a company, therefore the company tries to continue to provide motivation, one of which is by selecting the best employees. The selection of the best employees at Alia Citra Decor (ACD) is still done manually, namely selecting employees who are considered to have good performance by company leaders without an accurate assessment. To overcome these problems a decision support system (SPK) with the Profile Matching method is very helpful in solving the problem of selecting the best employees at Alia Citra Decor. By using the Profile Matching method, ACD can make decisions through employee performance appraisals based on existing aspects according to abilities. With the Profile Matching method, it is possible to determine the percentage of objects or aspects that are assessed and totaled, then a ranking process is carried out which will determine the optimal alternative, namely the best employees.
PENERAPAN METODE AHP UNTUK PENENTUAN SISWA TERBAIK DI SMP YAPINDO II Dicky Ilhamulya Yahya; Erik Mikael; Yudha Jihad Gilang Ramadhan; Mohammad Badrul
Jurnal Larik: Ladang Artikel Ilmu Komputer Vol 1 No 2 (2021): Desember 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (449.533 KB) | DOI: 10.31294/larik.v1i2.748

Abstract

The desire to be the best student in school is a dream for all school students. In order to become the best students themselves, students must be based on good abilities and knowledge. But sometimes in the selection of the best students there is often an error in determining the existing criteria and several other influencing factors. For example, from the education unit at SMP YAPINDO II, which currently has difficulty determining the best students, human errors and errors in data input often occur. This research was conducted by a team of writers at SMP YAPINDO II using the Analytical Hierarchy Process (AHP) method with a decision support system as a tool to implement the method. The criteria chosen to determine the best students include report cards, absenteeism, and attitude scores. The AHP method was chosen because it can facilitate the preparation of existing criteria, so the AHP method is the right method in making multi-criteria decisions, so that it can produce a relevant decision in determining the best students at YAPINDO II Junior High School.
SISTEM PENUNJANG KEPUTUSAN PEMILIHAN ONLINE SHOP DENGAN METODE ANALYTICAL HIERARCHY PROCESS Mega Primandari Rimba Berlian; Abdul Rahman Kadafi
Jurnal Larik: Ladang Artikel Ilmu Komputer Vol 1 No 2 (2021): Desember 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (542.314 KB) | DOI: 10.31294/larik.v1i2.773

Abstract

Online Shop is one of the mediums of communication as well as electronic commerce (e-commerce). Many factors influence consumer decisions. The number of online shops in the application sometimes makes prospective customers feel worried when choosing an online shop that suits their wishes and consumers will look for reviews on the internet or ask their friends. The purpose of this study is to research which online shop applications are most in demand by the public. With this research, this research applies Decision Support System with Analytical Hierarchy Process (AHP) method in choosing online shop application. The result of the calculation in the study is the role of the highest value which is the result needed as a consideration material by the user to determine the selection of online shop applications. In this online shop application selection research can be concluded that the most popular online shop application is Shopee with the value obtained through the calculation of 0.48 or 48%, Lazada with 19%, then there is Tokopedia 17%, then there is Blibli with 9% gain, and lastly there is Bukalapak with 7% gain.

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