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The Development of Company Profile Website for CV. Rian using Waterfall Model SDLC Irma Amelia Dewi; Lisye Fitria; Arie Desrianty; Alif Ulfa Afifah; M. Faishal Dzaky
REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Vol 1, No 2 (2020): REKA ELKOMIKA
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/rekaelkomika.v1i2.75-85

Abstract

Nowadays, the benefits of using the internet can be felt in society or even in the industrial world, either for business or just for entertainment purposes. Until 2017, Indonesia is one of the countries with the highest internet users globally, with around 112,6 million internet users. On the other hand, many small businesses have not used the internet to advertise their products. This project's main objective is to design and develop a company profile website of CV Rian as one of the brick micro-industry in Nagrek, West Java, enabling people to search and access information easily and quickly. This project uses Waterfall Model as Sofware Development Life Cycle (SDLC), MySQL as the database, and PHP for server-side scripting. The database is used for storing posts, admin data, and images. 
IMPLEMENTASI LEAN HEALTHCARE UNTUK MENGIDENTIFIKASI DAN MEMINIMASI WASTE DI INSTALASI RAWAT JALAN RSAI BANDUNG Lisye Fitria; Berliana Annisa Dery; Hendro Prassetiyo
Spektrum Industri Vol. 17 No. 2: Oktober 2019
Publisher : Universitas Ahmad Dahlan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v17i2.13921

Abstract

Lean healthcare is one way to identify and minimize waste in every service process at the outpatient installation of Al Islam Bandung Hospital (RSAI). Patients must wait more than 2 hours to get service. The tools used for the implementation of lean healthcare are current state mapping, value assessment, and Failure Modes and Effects Analysis (FMEA). The results showed that the wastage waiting category was a critical waste. Proposed improvements are expected to reduce waiting time for general patient services 65.438%, BPJS Health patients 70.632%, and contracting patients 70.921%.