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INDONESIA
Jurnal Sistem Komputer
Published by Universitas Diponegoro
ISSN : -     EISSN : -     DOI : -
Core Subject : Science,
Computer Science & IT
Arjuna Subject : -
Articles 4 Documents
 1 
Search results for , issue "Vol 8, No 1 (2018)" : 4 Documents clear
RANCANGAN BANGUN SISTEM INFORMASI PRODUKSI AYAM PETELUR DENGAN MENGGUNAKAN FRAMEWORK CODEIGNITER Teguh Martono, Kurniawan Martono; Windasari, Ike Pertiwi
Jurnal Sistem Komputer Vol 8, No 1 (2018)
Publisher : Jurnal Sistem Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jsk.v8i1.163

Abstract

Chicken eggs are one source of animal protein that is easy to obtain and widely consumed by the community. Chicken eggs consumed in Indonesia consist of chicken and chicken. This opportunity became one of the causes of the emergence of many breeders of laying hens. Detailed processing production results cause problems for farmers. Information technology is one technology that is growing rapidly and widely used in helping activities in various sectors. One such sector is the field of laying hens. The use of information technology aims to solve a problem experienced by breeders and also to improve the effectiveness and efficiency when doing a job. Information technology in this case also has the following functions Capture, Processing, Generating, Storage, and Transmissions. To know the performance of the system that has been built then done the testing process. Test methods are performed using functionality testing. The results of this test results that the system has been built in accordance with the initial design. Performance of the system is running in accordance with its functionality.
Perancangan Sistem Informasi Rekam Medis Hasil Deteksi Kaki Datar Berbasis Web Dewi, Rosita Permata
Jurnal Sistem Komputer Vol 8, No 1 (2018)
Publisher : Jurnal Sistem Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jsk.v8i1.143

Abstract

Footprint analysis for foot type classification using FPA methods produces the output of footprint images and various calculated parameters that have been performed. These data need to be stored and processed in order to be reused when needed. Manual data storage is very slow and error-prone, also it makes storing and processing the data difficult. This study aims to design a medical record information system that can store and manage patient data and detection results of flat foot disease. System development methodology used is Extreme Programming method consisting of requirement analysis, design, implementation, and testing. From this research produced a medical record information system that can assist in storage and data processing of the result of flat foot detection. Based on the test results with black box method can be concluded that the produced information system has worked well and meet every function required.
PERBANDINGAN PORTABILITY, REUSABILITY, DAN INTEROPERABILITY PADA E-COMMERCE BERBASIS OPEN SOURCE Irfan, Rifqi Imaduddin; Nugraha, Aji Saka; Anggrainingsih, Rini
Jurnal Sistem Komputer Vol 8, No 1 (2018)
Publisher : Jurnal Sistem Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jsk.v8i1.142

Abstract

This paper will focus on comparison of portability, reusability, and interoperability values on open source-based e-commerce. The aim of comparing these three values is to find out which e-commerce has the best portability, reusability, and interoperability values. E-commerce software that will be tested are Magento 2.0, OpenCart 2.3.0.2, and WooCommerce 3.07. It has been chosen because this software are included in “The Top 10 Open Source e-Commerce Platforms” by CMS Critic website. Portability and reusability assessment is based on modularity, self-descriptive, and simplicity subfactor. The result obtained which e-commerce has the best value of the three factors tested is OpenCart with the best scores in the factor of portability and interoperability.
Forecasting Sebagai Decision Support Systems Aplikasi dan Penerapannya Untuk Mendukung Proses Pengambilan Keputusan. Christy, Jessica; Hintarsyah, Aristo Putramasi; Spits Warnars, Harco Leslie Hendric
Jurnal Sistem Komputer Vol 8, No 1 (2018)
Publisher : Jurnal Sistem Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jsk.v8i1.141

Abstract

Di dalam suatu perusahaan, pasti ada suatu kegiatan untuk mengetahui apa yang terjadi di masa mendatang dengan menggunakan data dari masa lampau dan sekarang. Forecasting juga adalah cara yang paling efektif dan efisien didalam lingkungan perusahaan untuk memprediksi dan membaca kondisi perusahaan saat ini dan memprediksi berdasar kondisi perusahaan saat ini. Sebagai contoh untuk mengetahui stok barang yang terdapat di gudang dan berapa banyak stok yang akan dijual untuk mendapatkan hasil penjualan yang optimal. Forecasting dapat diimplementasikan dengan bantuan teknologi informasi semisal datawarehouse, decision support system, data mining, machine learning dan teknologi komputasi inteligent lainnya, dengan tujuan untuk menggunakan data saat ini untuk kebutuhan prediksi kemungkinan-kemungkinan bisnis ke depan dalam rangka mendukung proses pengambilan keputusan. Forecasting dapat diimplementasikan dengan berbagai macam formula seperti Moving Average, Weighted Moving Average, Exponential smoothing, Mean Absolute Deviation dan Trend Moment. Penggunaan forecasting diimplementasikan pada berbagai macam ragam bisnis dalam mendukung proses-proses pengambilan keputusan guna meningkatkan profit perusahaan dengan memprediksi kemungkinan-kemungkinan yang akan terjadi berdasar kondisi perusahaan saat ini.

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