Claim Missing Document
Check
Articles

Found 2 Documents
Search

PENGENALAN RAMBU LALU LINTAS DENGAN MENGGUNAKAN FUZZY INFERENCE SYSTEM (FIS) MAMDANI Syafrika Deni Rizki; Tri Monarita Johan
Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Vol 9 No 1 (2021): TEKNOIF APRIL 2021
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtif.2021.V9.1.17-19

Abstract

Rambu-rambu lalulintas merupakan bagian dariperlengkapan jalan yang memuat lambang, huruf, angka, kalimat atau gabungan diantaranya, yang berfungsi untukperingatan atau pemberitahuan bagi pemakai jalan. Banyak kecelakaan yang terjadi dijalan karenapelanggaran lalulintas, ini di karenakan banyak masyarakatyang belum mengetahui arti atau maksud dari rambu-rambu yang ada di jalan, dan masyarakat kurang pahamarti dari rambu-rambu lalulintas yang terdapat dijalan,juga di karenakan sosialisasi yang kurang terhadap masyarakat mengenai pentingnya mematuhi rambu-rambu lalulintas.Rumusan masalah dalam penelitian ini adalah bagaimana membuat suatu aplikasi tentang rambu lalu lintas untuk meminimalisir pelanggaran lalu lintas dan sebagai sarana investasi jangka panjang dengan memperkenalkan rambu lalu lintas di pendidikan usia dini. Traffic signs are part of road equipment containing symbols, letters, numbers, sentences or a combination thereof, which functions as a warning or notification for road users. Many accidents that occur on the road are due to traffic violations, this is because many people do not know the meaning or purpose of the signs on the road, and people do not understand the meaning of traffic signs on the road, also because of the lack of socialization to the public regarding the importance of obey traffic signs. The formulation of the problem in this study is how to make an application about traffic signs to minimize traffic violations and as a means of long-term investment by introducing traffic signs in early childhood education.
Analysis and Application of Supply Chain Management for Cosmetic Inventory at Hayati Store Using PHP Programming Language and MYSQL Database Delima, Putri; Syafrika Deni Rizki; Radius Prawiro
Indonesian Journal of Economic & Management Sciences Vol. 2 No. 1 (2024): February 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijems.v2i1.8136

Abstract

This research focuses on Hayati Store, a business specializing in the sale of beauty tools and beauty products. The study explores various aspects of beauty product management at Hayati Store, including demand planning, inventory management, and distribution during sales, using Supply Chain Management (SCM) methodology. Implementation will be carried out using PHP programming language and MYSQL database to facilitate effective management. Although the store has computerized cosmetic and beauty tool sales, the current system only covers sales aspects, lacking information on stock turnover from product receipt to warehouse inventory management. This research aims to optimize the distribution process during sales and transform existing data into a comprehensive Supply Chain Management system