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Penerapan Algoritma K-Means clustering Untuk Mengelompokkan Provinsi Berdasarkan Banyaknya Desa/Kelurahan Dengan Upaya Antisipasi/Mitigasi Bencana Alam Pratama, Yovi; Hendrawan, Hendrawan; Rasywir, Errissya; Carenina, Babel Tio; Anggraini, Dila Riski
Building of Informatics, Technology and Science (BITS) Vol 4 No 3 (2022): December 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i3.2549

Abstract

Natural disasters are one of the natural phenomena that threaten human survival. The negative impacts can be in the form of material or non-material losses. However, with the ability to recognize the early symptoms of a disaster, humans can prepare themselves for disaster. Application of the K-Means clustering Algorithm in Grouping Provinces Based on the Number of Villages / Sub-districts with Anticipation / Mitigation Efforts for Natural Disasters Using the WEKA Application. The data sources for this research were collected based on documents describing the Number of Villages/ Urban According to Natural Disaster Anticipation/Mitigation Efforts produced by the National Statistics Agency. The data used in this study is provincial data which consists of 34 provinces. There are 4 variables used, namely Natural Disaster Early Warning System, Tsunami Early Warning System, Safety Equipment, Evacuation Path. The data will be processed by clustering in 2 clusters, namely clusters with high anticipation/mitigation levels and low anticipation/mitigation levels. The results obtained from the assessment process are that there are 5 (14.71 %) provinces with a high level of anticipation/mitigation and 29 (85.29%) other provinces including a low level of anticipation/mitigation. This can be an input for the government to pay more attention to the Village/Kelurahan based on the clusters that have been carried out
Perancangan Sistem Informasi Penjualan Dan Persediaan Barang Berbasis Web Pada Toko Wonder Paint Sutoyo, Mochammad Arief Hermawan; Patricia, Agnes; Qusyairi, Ahmad Rabbani; Carenina, Babel Tio; Khairullah, M.Afif Dzaki; Wijaya, M. Rizky; Andiko, Virginia Casanova
Jurnal Ilmiah Sistem Informasi (JISI) Vol. 1 No. 2 (2022): OKTOBER
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/jisi.v1i2.3169

Abstract

Data management at the WonderPaint paint shop still uses a system that is not yet computerized, which is still recording in the ledger according to its needs at each sale and of course it takes quite a long time to process the data. For inventory, store owners record inventory manually so that it will be difficult to check which items should be purchased to meet inventory or if there is product loss. In addition, in making documents or sales transaction reports only in the form of sheets of paper, the integrity and security of the document is not guaranteed in the event of a complaint. So the author try to research a website's information system that is expected to be able to help administrator or shop owners in recording sales, inventory and help maintain the security of these documents where the admin will be easier to input, and the data will be neater and more efficient. The research method used is waterfall method for the system design. In conclusion, the program is well executed for the store and authors hoped that this system will be very helpful for the store to simplify and speed up their work in processing data