Ani Rachmaniar Ani Rachmaniar
STMIK Jakarta STI&K

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Journal : JISICOM (Journal of Information System, Infomatics and Computing)

Application Of Computer Vision Detection Of Apples And Oranges Using Python Language Normalisa Normalisa; Ani Rachmaniar; Desi Diana; Mohamad Saefudin; Robin Parulian
JISICOM (Journal of Information System, Informatics and Computing) Vol 6 No 2 (2022): JISICOM: December 2022
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisicom.v6i2.946

Abstract

The Indonesian nation, which is quite large, has the natural resources and potential manpower needed to build the archipelago's fruit industry. The climate and good weather cause Indonesia to have various types of fruits. Production of fruit crops in Indonesia in 2021 based on the website of the Central Statistics Agency, Indonesia produces millions of tons of fruit in total. In the fruit production processing industry, the quality of each fruit is generally checked, whether it is feasible to proceed to the processing stage or not. This check is carried out by employees manually without the help of tools. Sophisticated programs or systems can perform this task automatically. Artificial intelligence, which includes object recognition, has advanced as technology advances. It can identify items in an image. Object detection is one of the fields in computer vision. The use of computer vision technology allows machines to see and identify items in their environment similar to humans. By applying real-time object detection to an application, it can help sort out fruits that deserve to be processed in real-time through a camera that is installed in such a way. Based on the accuracy and the explanation result, the passing fruit will be detected automatically. The author uses a fruit image dataset with two object classes: fresh fruit and non-fresh fruit. The results obtained a high level of accuracy in the detection of apples and oranges.
APPLICATION OF THE RAD METHOD TO THE DEVELOPMENT OF BARBERSHOP TRANSACTION REPORT INFORMATION SYSTEM USING VISUAL FOXPRO 9.0 Hening Hendrato; Linda Wahyu Widianti; Ani Rachmaniar
JISICOM (Journal of Information System, Informatics and Computing) Vol 7 No 1 (2023): JISICOM (June 2023)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisicom.v7i1.1080

Abstract

Barbershop business activity is a form of small and medium enterprises (UKM) currently growing rapidly owned by a group of Indonesian people. Barbershop business is usually carried out in an open place that is easy for potential customers to find. Barbershop activities provide services to customers in the form of haircuts, mustaches and head washing. The period when customers use barbershop services is very continuous, periodically according to the age of hair growth. There are so many transactions in the barbershop business that a good information system is needed to calculate the profits earned in a certain period. Based on this information, this research builds an accurate and reliable information system. The developed system provides a solution to obtain overall transaction report information in a period of time so that total profit information can be well known. The development of this system uses the Rapid Application Development Method to facilitate application development. The development of a transaction report system and profit reports for barbershop business activities is translated using Microsoft Visual Foxpro 9.0 software. The developed information system answers problems in the financial reports of barbershop activities to become more structured.