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Journal : Computer

SISTEM PENDUKUNG KEPUTUSAN KELAYAKAN PEMBERIAN KREDIT DENGAN METODE TOPSIS Polii, Melissa Mathilda Laurenzia; Ani Arnomo, Sasa
Computer Science and Industrial Engineering Vol 6 No 2 (2022): Comasie
Publisher : LPPM Universitas Putera Batam

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Abstract

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RANCANG BANGUN SISTEM PENGENDALIAN STOK BERBASIS FRAMEWORK CODEIGNITER 4 MENGGUNAKAN NOTIFIKASI WHATSAPP ENGINE milando, veron; Ani Arnomo, Sasa
Computer Science and Industrial Engineering Vol 8 No 3 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

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Abstract

Penelitian ini bermaksud merancang dan membangun sistem informasi pengendalian stok dengan menggunakan framework CodeIgniter agar proses bisnis pada toko Fina Sari Tebu dapat berjalan lebih efektif dan efisien. Sistem yang dirancang menggunakan framework Codeigniter 4 dan database MySQL. Hasil yang didapatkan dari penelitian tersebut merupakan sebuah sistem informasi web yang digunakan untuk mengendalikan stok dengan sistem notifikasi Whatsapp untuk memperingatkan pengguna bahwa stok barang sudah mau habis atau sudah banyak tersedia. Kesimpulannya dengan adanya sistem pengendalian stok tersebut, kejadian dimana stok habis berkurang dan informasi diperoleh jauh lebih cepat dibanding dulu. Keterbaharuan dari temuan ini memberikan kontribusi yang berbeda dari sistem pengendalian stok sebelumnya, karena dengan adanya sistem notifikasi Whatsapp admin dapat memberikan informasi dalam waktu singkat agar sebuah stok dapat dibeli atau dipesan.
RANCANG BANGUN SISTEM INFORMASI PELAPORAN MAINTENANCE MESIN PT SCHNEIDER Harefa, Lusi; Ani Arnomo, Sasa
Computer Science and Industrial Engineering Vol 10 No 1 (2024): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v10i1.8425

Abstract

In order to improve the quality of maintenance reports produced by PT.Schneider, a maintenance report information system that is easy to use and operates instantly is required. Accordingly, it is anticipated that this system would be able to provide users with security data reports and generate accurate information that can be used to support the process of developing technician training materials. where reports are now manually entered, written down, and then re-entered into an Excel file at the conclusion of the workday. This process is extremely inefficient. The goal of this project is to create a more user-friendly and efficient web-based machine maintenance reporting information system.
RANCANG BANGUN SISTEM PEREKRUTAN KARYAWAN BERBASIS NODE.JS DI KOTA BATAM Manurung, Edward Suranta Manurung; Ani Arnomo, Sasa
Computer Science and Industrial Engineering Vol 11 No 1 (2024): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v11i1.8976

Abstract

The problems faced in the form of conventional-based labor recruitment problems, of course this has shortcomings, such as the company having difficulty getting workers who meet the company's standard qualifications and data management for admins in storing job applicant data is still not neat. This research aims to describe the current system, analyze the current workforce recruitment system, and propose a solution in the form of a new web-based workforce recruitment information system that utilizes Unfield Modeling Language (UML), a programming language that combines PHP and MySQL as the database. The System Development Life Cycle (SDLC) method was used to build this application. This method consists of five stages: planning, analysis, design, implementation, and use. In particular, the Rapid Application Development (RAD) Software Development Method is an incremental software development process model that is well suited to short processing periods. The results of this research are in the form of a website and process flow diagrams created using use case diagrams, sequence diagrams, activity diagrams and class diagrams.
CLUSTERING DENGAN ALGORITMA K-MEANS UNTUK MENINGKATKAN PENJUALAN PADA PT PULAU BINTANG EMAS BATAM Putri, Putri Aprilianti Ali; Ani Arnomo, Sasa
Computer Science and Industrial Engineering Vol 11 No 1 (2024): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v11i1.9012

Abstract

This study was conducted to study K-Means Clustering in knowledge retrieval. The purpose of this study is to obtain the results of the analysis of the application of clustering with the K-Means algorithm in determining the number of tourist interests in each travel agent that cooperates with PT Pulau Bintang Emas in Batam. The data used to support marketing strategy decisions include gender, age and travel agent, promos which are analyzed using the K-Means Clustering Algorithm so that the right customer cluster is known for the promotional approach. The data will be processed using Rapidminer data processing software with the K-Means Clustering Algorithm and a value of K = 3 so that the data will produce three clusters. The total data that has been tested using Rapidminer software is 398 records with 3 clusters obtained, namely: Cluster 0 totaling 130 items, Cluster 1 totaling 111 items and Cluster 2 totaling 157 items . With a computing speed of 0.01 seconds.