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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 5 Documents
 1 
Search results for , issue "Vol 1 No 1 (2021): Juli 2021" : 5 Documents clear
SISTEM INFORMASI INVENTORY MENGGUNAKAN FRAMEWORK LARAVEL PADA CV. GRACE BHAKTI UTAMA BOGOR Marshel Christian; Suparni Suparni; Lilyani Asri Utami
Jurnal Larik: Ladang Artikel Ilmu Komputer Vol 1 No 1 (2021): Juli 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2661.155 KB) | DOI: 10.31294/larik.v1i1.456

Abstract

Sistem inventory merupakan sebuah sistem yang mencatat segala perpindahan barang masuk maupun barang keluar. Banyaknya data transaksi yang harus dikelola setiap harinya mengakibatkan waktu yang diperlukan untuk menyelesaikan akan lebih lama apabila sistem yang digunakan masih secara manual. Demikian yang terjadi pada CV. Grace Bhakti Utama. Kesalahan saat penginputan secara manual akan menghasilkan laporan yang tidak akurat, hal ini merupakan permasalahan yang harus diselesaikan dalam perusahaan agar sistem berjalan secara efektif dan efisien. Penelitian ini mengusulkan perancangan suatu sistem informasi inventory menggunakan framework Laravel untuk memberikan kemudahan bagi pengguna dalam mengelola data inventory di CV. Grace Bhakti Utama. Metode pengembangan system dalam penelitian ini menggunakan metode Waterfall, merupakan model air terjun menyediakan pendekatan alur hidup perangkat lunak secara sekuensial atau terurut dimulai dari analisis, desain, pengkodean, pengujian, dan tahap pendukung. Hasil penelitian diharapkan pencatatan laporan, transaksi penjualan, dan transaksi pembelian dapat dilakukan secara cepat dan tepat. Selain itu, pemantauan penjualan pun semakin mudah karena akan memudahkan pengguna dalam melihat aktifitas perusahaan di dalam sistem informasi tersebut.
PENERAPAN METODE NAIVE BAYES DALAM PREDIKSI PENYEBAB KECELAKAAN KERJA CV. DEKA UTAMA Monica Putri Rahayu; Yusti Farlina
Jurnal Larik: Ladang Artikel Ilmu Komputer Vol 1 No 1 (2021): Juli 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1093.606 KB) | DOI: 10.31294/larik.v1i1.472

Abstract

Progress of technology and technology is a necessity for its users. The technology has been widely applied in several fields, one example is the presence of technology in the construction sector that makes it easy for its users to make predictions on the factors that cause construction work accidents. An accident at work is an unexpected and unplanned event. Work accidents can hamper the work and will affect the results and the length of time the work itself. One way to minimize workplace accident’s to predict what factors can cause work accidents. Data mining is one way to get information stored in a large number of databases. Work accident data contained in a construction company is only used as a company report. In reality, the data can provide information that is more than just a report. One of the information that can be taken from the company's occupational accident data is information about the prediction of the causes of work accidents. The method for predicting that produces accurate data is the Naive Bayes method. In this research, 78 sample data were processed to produce an accuracy value of 96.15%.
PENERAPAN ALGORITMA NAÏVE BAYES UNTUK MEMPREDIKSI GEJALA DEMAM TIFOID PADA PUSKESMAS CIBADAK Abdullah Khabari Kamil; Resti Yulistria; Apip Supiandi; Gunawan Gunawan
Jurnal Larik: Ladang Artikel Ilmu Komputer Vol 1 No 1 (2021): Juli 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (678.275 KB) | DOI: 10.31294/larik.v1i1.499

Abstract

Typhoid fever is an infectious disease that is still a health problem in developing countries, especially in Indonesia. Salmonella typhi is a bacterium that causes typhoid fever which can be transmitted through food or drink contaminated by feces or urine from an infected person. The first step in managing typhoid fever is determining the right diagnosis. To reduce detection errors and avoid delays in diagnosis of typhoid fever sufferers, the application and utilization of data mining techniques can be carried out. One of the algorithms that can be applied is Naive Bayes Classifier, with the implementation of the Naive Bayes Classifier algorithm it is expected that sufferers can find out their health condition from typhoid fever that may occur, so they can immediately take action in an effort to minimize the symptoms that occur and are expected to take action early on. this makes other symptoms that will occur just do not occur and the symptoms are reduced. The Naïve Bayes Classifier is a well-known classification model and is often used. The results of this study get an accuracy of 93.71%. using rapid miner 5.2 with 142 datasets.
SISTEM PENUNJANG KEPUTUSAN PEMILIHAN KARYAWAN TERBAIK DI RESTORAN SOTO PAK J MENGGUNAKAN METODE AHP: Grace Alfa Gulo; Niya Windy Nurhidayati; Diana Aprillia; Maruloh Maruloh
Jurnal Larik: Ladang Artikel Ilmu Komputer Vol 1 No 1 (2021): Juli 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (695.723 KB) | DOI: 10.31294/larik.v1i1.504

Abstract

Abstract - Restaurant leaders need an employee who can be trusted to serve guests or visitors who come to the restaurant well. Selection of the best employees is an important aspect of performance management because it produces useful information for employee administrative decisions such as promotions or training and other decisions. The best employee performance is not only selecting and assigning the right employees but it is also important for leaders to plan carefully in motivating and developing employees. So it is necessary to make a Decision Support System (DSS) by applying the Analytical Hierarchy Process (AHP) method. AHP method is a method for solving an action that is associated with the comparison of the weight of importance between factors and the comparison of several alternatives. This method will give the result of the weighting of each alternative choice according to the number of specified criteria, such as type, price, location and the alternative that has the greatest weight, which is an alternative choice that is the best employee recommendation to be chosen by the restaurant leader. Keywords : Decision Support System (DSS), Analytical Hierarchy Process (AHP), Employees, Restaurant
PENENTUAN POLA PENJUALAN SPAREPART MESIN FOTOCOPY PADA CV. ANDALAN MENGGUNAKAN ALGORITMA FP-GROWTH Muhamad Reza Vahlefi; Yahya Iskandar; Abidin Abidin; Satia Suhada
Jurnal Larik: Ladang Artikel Ilmu Komputer Vol 1 No 1 (2021): Juli 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (871.538 KB) | DOI: 10.31294/larik.v1i1.506

Abstract

CV. ANDALAN engaged in goods and services based in Jakarta, a company that sells photocopier spare parts. The growing competition in the business world demands developers to find something that can increase sales and marketing of products in their company, one of which is by utilizing technology to help predict the spare parts that are most often in demand by consumers. So far CV. ANDALAN lack of analyzing the inventory of spare parts in the warehouse, besides that the company does not know if the previous year's sales products are more increased than the following year, and what products are the best-selling in the company while the amount of data is so large can be a problem and overwhelmed in calculating the products in the company. Therefore, a new innovation is needed that can provide a strategic information that is data mining. With the holding of associations on photocopier spare parts transactions using FP-Growth algorithm, CV. ANDALAN is expected to immediately know what products are most in demand by consumers. So it is expected to increase the sales of photocopier spare parts, so as not to occur losses on CV. ANDALAN.

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