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Journal : Teknik dan Ilmu Komputer

LEGALITAS WEBSITE KOMERSIAL Hayat, Cynthia; Hutapea, Afrido V.
Teknik dan Ilmu Komputer vol. 2 no. 5 Januari-Maret 2013
Publisher : Teknik dan Ilmu Komputer

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Transactions over the internet are uncontrolled both from the legal clarity and trade tax aspects. The increasing number of deception and fraud cases emphasizes the importance of a system or a governing body to manage online trade. This system or body should issue permits for or approve the legitimacy of commercial websites. The online transactions are expected to be better organized and legally existed. The government can also apply trade tax for online transactions. The website legality will increase customers’ confidence to do online transactions, reduce the crime rate, and increase the country’s income through online trade tax.  Keywords:  legality, legality of commercial website, EC-trust
Aplikasi Diagnosa Dini Penyakit Kanker Payudara Sevani, Gisela Nina; Hayat, Cynthia; Purba, Jenny Rosenta Ulina
Teknik dan Ilmu Komputer Vol. 03 No. 10 April-Juni 2014
Publisher : Teknik dan Ilmu Komputer

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Early Indentification of Diabtes Mellitus Disease Using Expert System Builder Hayat, Cynthia
Teknik dan Ilmu Komputer Vol. 05 No. 20 Oktober - Desember 2016
Publisher : Teknik dan Ilmu Komputer

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Abstrak Penyakit diabetes melitus disebabkan karena ketidakmampuan tubuh dalam memproduksi hormon insulin dalam jumlah yang cukup. Penyakit diabetes melitus tidak terjadi begitu saja, melainkan melalui komplikasi yang panjang. Tujuan dari pembuatan aplikasi ini adalah untuk dapat mendeteksi tahap-tahap awal penyakit diabetes melitus. Pengumpulan data dilakukan melalui transfer knowledge dari seorang pakar, yaitu dokter ahli penyakit dalam. Dengan memanfaatkan konsep expert system pada tools Expert System Builder (ESB), dibuat knowledge base rule, decision tree, dan decision table. Tahap-tahap perancangan dilakukan dengan merancang rule penelusuran identifikasi penyakit diabetes melitus, selanjutnya merancang decision table berdasarkan rule based, dan decision tree berdasarkan decision table yang telah dibuat. Kata kunci: identifikasi penyakit diabetes, sistem pakar, expert system builder  Abstract Diabetes mellitus disease, commonly referred as diabetes, is caused by the body inability to produce insulin hormone in sufficient quantities so that the blood sugar is in high condition. Diabetes mellitus disease comes from a long complication. The purpose of this application is to help the detection of the first stage of diabetes mellitus disease. The data is collected from knowledge transferred from an internist. By using the expert system concept from expert system builder (ESB) tools, knowledge base rule, decision tree, and decision table are created. The stage of design is as follows: diabetes mellitus disease identification search rule, design of rule based decision table, and design of decision tree based on the previously-prepared decision table. Keywords: Identification of Diabetes; Expert System, Expert System BuilderÂÂ