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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

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

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

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

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

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.

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

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

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

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

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.

PEMANFAATAN REACT NATIVE DAN FIREBASE UNTUK PEMBUATAN APLIKASI JUAL-BELI ITEM GAME ONLINE Ratih Nurdiyani Sari; Novrina Novrina; Arya Rangga Kusuma
Jurnal Larik: Ladang Artikel Ilmu Komputer Vol 2 No 1 (2022): Juli 2022
Publisher : LPPM Universitas Bina Sarana Informatika

Rocket League is a multi-platform game developed and published by Psyonix, this game has a car-soccer theme, where the player or user will control a car to direct the ball towards the enemy's goal to win the match. Rocket League presents the Trade feature, which is a feature that provides access to make transactions between users to be able to exchange items with tradable status. However, this feature has several limitations, namely that users basically cannot see items owned by other users when they want to find the desired item to exchange in the game. By creating an application, it is hoped that it can help users to trade items in the Rocket League game that is being broadcast between users in the application. Application development begins with application implementation and testing, where applications are built using the React Native framework and then assisted by the Firebase Platform on the Backend, and Android Studio as an IDE platform. From the results of the tests that have been carried out, the application can run with a minimum test benchmark having a smartphone specification of 2GB Ram capacity with an Exynyos 7870 Cortex A-53 2013 processor.

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name
Saepul Bahri

Contact Email
saeful.sel@bsi.ac.id

Phone
+6281210914656

Journal Mail Official
jurnal.larik@bsi.ac.id

Editorial Address
Jl. Raya Cemerlang No.8, Sukakarya, Kec. Warudoyong, Kota Sukabumi, Jawa Barat 43135

Location
Kota adm. jakarta barat,

Dki jakarta

INDONESIA

Abstract

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Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Saepul Bahri

Contact Email saeful.sel@bsi.ac.id

Phone +6281210914656

Journal Mail Official jurnal.larik@bsi.ac.id

Editorial Address Jl. Raya Cemerlang No.8, Sukakarya, Kec. Warudoyong, Kota Sukabumi, Jawa Barat 43135

Location Kota adm. jakarta barat, Dki jakarta INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Saepul Bahri

Contact Email
saeful.sel@bsi.ac.id

Phone
+6281210914656

Journal Mail Official
jurnal.larik@bsi.ac.id

Editorial Address
Jl. Raya Cemerlang No.8, Sukakarya, Kec. Warudoyong, Kota Sukabumi, Jawa Barat 43135

Location
Kota adm. jakarta barat,

Dki jakarta

INDONESIA