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Journal : INTERNAL (Information System Journal)

Perancangan Data Warehouse Sistem Pendaftaran Mahasiswa Menggunakan Online Analytical Procesing (OLAP) di Universitas Ma’soem Muhamad Fahmi Nugraha; Muhamad Furqon
INTERNAL (Information System Journal) Vol. 4 No. 1 (2021)
Publisher : Masoem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/internal.v4i1.283

Abstract

Along with the development of Information Technology in various fields, one of which is Education can be seen from various existing systems, one of which is the Student Registration System which is increasingly advanced, no longer manually but using an Information System, of course this information system is not only used as a registration information system. of course there are data that can still be processed. Based on the data obtained from the information system, higher education institutions can analyze registrant data. This study aims to produce an information system that can be used by universities to analyze new student data by designing the Online Analytical Processing (OLAP) Data Warehouse. The results of writing using this Information System can help universities to analyze data, furthermore it can be used as decision making, strategic information to reports
Penerapan Naïve Bayes dalam Mengklasifikasi Calon Penerima Bantuan Pangan Non Tunai di Desa Nanjung Mekar Muhamad Fahmi Nugraha; Sri Budi Rahayu
INTERNAL (Information System Journal) Vol. 5 No. 2 (2022)
Publisher : Masoem University

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Abstract

The application of Nave Bayes in Classifying Candidates for Non-Cash Food Assistance (BPNT) in Nanjung Mekar Village was made to solve problems in the process of distributing non-cash food assistance programs that have not run optimally and have not been targeted. The purpose of this research is to find out how to apply the Naïve Bayes Algorithm in Classifying Non-Cash Food Aid Recipients in Nanjung Mekar Village so as to obtain optimal results.The method used in this study is the nave Bayes classification method. The Naïve Bayes algorithm is proven to have good performance in a prediction, and produces high accuasy and AUC values. The stages of data analysis were carried out based on the CRISP-DM method while the algorithm testing was carried out on the RapidMiner 9.10.001 software as a comparison between manual calculations and software calculations. The results of these tests obtained an accuracy value of 80%, and an AUC value of 0.938 which was obtained from 250 data with the use of 240 training data and 10 testing data.
Rancang Bangun Sistem Informasi Penjualan dan Pembelian pada Toko Agnia Tanjungsari Muhamad Fahmi Nugraha; Rifa Fadilah; Anjas Tryana
INTERNAL (Information System Journal) Vol. 6 No. 2 (2023)
Publisher : Masoem University

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Abstract

The use of computers as a tool for completing work in the field of information system technology is increasingly widespread and growing in all fields. Computers are felt to have many advantages, because computers can be programmed so that they can be adjusted to the wishes of the user. One way to get optimal results by managing data quickly and accurately is to use a computerized system and use system development, namely the Software Development Life Cycle (SDLC) with the Waterfall method in designing information systems, starting from analyzing software requirements, design, implementation, and Testing.Toko Agnia is currently still not optimal because sales and purchase data processing is carried out manually so it becomes ineffective. Based on the results of the reports that have been made, several conclusions can be drawn as follows: With the implementation of a desktop-based information system users will easily process sales, purchases and stock inventory, can speed up the processing and preparation of sales and purchases reports, the accuracy of calculations in this program can be relied upon.