Nurmalasari Nurmalasari
Program Studi Sistem Informasi, Fakultas Teknologi Informasi, Universitas Nusa Mandiri

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Journal : Computer Science (CO-SCIENCE)

Prediksi Klasemen Akhir English Premier League Untuk Keputusan Penanaman Modal Dengan Metode Distribusi Poisson Muhammad Fauzan Azhar; Nurmalasari Nurmalasari; Ani Yoraeni
Computer Science (CO-SCIENCE) Vol. 1 No. 2 (2021): Juli 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/coscience.v1i2.259

Abstract

Nowadays, people often talk about machine learning, it is a technique which gives a system a skill to learn and develop automatically based on the experience in the past. With machine learning, it hopes could help the decission making process to decide the result of English Premiere Leauge' final standigs. In this research, the researcher will develop a machine learning using Poisson Distribution Method, which is a distribution of random variables (x) which refer to the number of experimental results that occur in a certain time interval or in a certain area. By predicting the final results of the standings, the researcher hopes that the result could show which club who has promising prospect that could be a reference for capital investment.
ERP Sistem Informasi Inventaris Perangkat Keras dan Peripheral Berbasis Enterprise Resource Planning (ERP) Fauzi Nurfariyanto; Nurmalasari Nurmalasari
Computer Science (CO-SCIENCE) Vol. 2 No. 2 (2022): Juli 2022
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/coscience.v2i2.1219

Abstract

The development of information today encourages an increase in effective and efficient work styles. One of the business needs in providing information system tools is technology-based information. When a computerized system shows higher reliability. But at PT. Limawira Wisesa in conducting hardware data collection has not been computerized, such as recording specifications still using Microsoft Excel so that data collection feels inefficient and can cause errors and errors in recording specifications. Based on these problems, a hardware, and peripheral inventory information system was built to make it easier to search for data quickly and precisely and provide convenience to related staff in managing hardware and peripheral specification data. The information system begins with system requirements analysis, system design, program code, and program testing, and is built according to the waterfall method. The staff involved in managing hardware specification data can access the admin user. The information system is built based on enterprise resource planning, namely the Inventory Module so that the system is integrated with other systems at PT. Limawira Wisesa.