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Contact Name
Andree E. Widjaja
Contact Email
andree.widjaja@uph.edu
Phone
+6261-80511117
Journal Mail Official
ji.uphmedan@uph.edu
Editorial Address
Lippo Plaza Medan 5th - 7th Floors, Jl. Imam Bonjol No. 6 Medan - 20112, North Sumatra, Indonesia
Location
Kota tangerang,
Banten
INDONESIA
Journal Information System Development
ISSN : 2477863X     EISSN : 25285114     DOI : https://dx.doi.org/10.19166/isd
Jurnal Information System Development (ISD) hadir sebagai wadah bagi para Akademisi, Developer, Peneliti, dan Ilmuwan yang hendak menyumbangkan karya ilmiahnya bagi dunia ilmu pengetahuan di bidang Sistem Informasi. Jurnal yang diterbitkan oleh Prodi Sistem Informasi Universitas Pelita Harapan ini menerima publikasi hasil pengembangan atau penelitian terbaru di bidang Sistem Informasi. Topik-topik meliputi pengembangan software desktop, web, mobile, database system, artificial intelligence, data warehouse, data mining, UI/UX programming, IT infrastructure, Internet of Things, Game Development, Cyber Security, dan topik-topik lainnya. Setiap tahunnya, Jurnal ISD terbit dalam dua (2) periode yaitu pada Bulan Januari dan Juli
Articles 22 Documents
Search results for , issue "Vol 3, No 2 (2018): Journal Information System Development (ISD)" : 22 Documents clear
DATA MINING PENGELOMPOKKAN PEMAKAIAN LISTRIK TERBOROS MENGGUNAKAN METODE CLUSTERING (STUDI KASUS PLN AREA BINJAI) Ediman Manik
Journal Information System Development Vol 3, No 2 (2018): Journal Information System Development (ISD)
Publisher : UNIVERSITAS PELITA HARAPAN

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Abstract

-- Clustering is a method used to classify a set of objects into classes consisting of the same objects. In other words clustering is the process of grouping objects based on the similarity of characteristics among the objects. In this thesis will be discussed about the clustering method by using K-Means algorithm that is used to determine the value of the electricity usage group as well as grouping it based on the level of power usage and the hours of the flame so that it can be grouped and known which ones are lost. The K-Means algorithm is one of the clustering methods that researchers will use to solve the problem of grouping. Starting from the determination of the grouping boundaries to the determination of each cluster so that the groups formed the data of electricity consumption adjusted with the level of usage. The result of this thesis is the value of data grouped by level of electricity usage grouping. And with the support of GUI programming MATLAB expected this program can be used easily. With this application can be seen the results of 200 data for cluster 1 as much as 44 with the Group of use of electricity in the group at the address is Binjai Timur and for Power group 450 and Jam on> 1100 and Cluster 2 as many as 60 Users of the listik peloros at the address group is Binjai Kota and for Power 450 and 901-1100 Clock 3 and 96 for cluster 3 groups with License usage groups in the Address group are North Binjai and for Daya Power 450 and Jam 700-900.Keywords: Clustering, Electricity Usage
SISTEM INFORMASI PENENTU HARGA POKOK PRODUKSI PADA PT YURINDO PERDANA Benz Edy Kusuma
Journal Information System Development Vol 3, No 2 (2018): Journal Information System Development (ISD)
Publisher : UNIVERSITAS PELITA HARAPAN

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Abstract

PT Yurindo Perdana merupakan perusahaan pengolah kayu karet yang masih menggunakan sistem manual untuk pengumpulan harga pokok produksinya. Sistem ini menyebabkan masalah keterlambatan pada saat mengumpulkan biaya produksi dan pada saat menghasilkan laporan harga pokok produksi pesanan. Untuk itu diperlukan sebuah sistem informasi untuk mengatasi hal tersebut.Pengembangan sistem informasi perhitungan harga pokok produksi menggunakan metode waterfall, pemodelannya menggunakan UML usecase diagram, activity diagram, sequence diagram, class diagram dan state machine diagram, dan diimplementasikan dengan bahasa pemograman java dan mysql sebagai database. Hasil penelitian berupa sebuah sistem untuk mencatat supply barang masuk, melakukan penyesuaian supply barang, mencatat produksi, mencatat penyelesaian pesanan, dan menghitung harga pokok produksi pesanan serta menghasilkan laporan harga pokok pesanan.Kata Kunci: harga pokok produksi, harga pokok pesanan, pengolahan kayu

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