man, Nofriadi
Sekolah Tinggi Teknologi Industri Padang

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SISTEM INFORMASI PEMESANAN PAKET WISATA NAGARI TARUSAN KABUPATEN PESISIR SELATAN man, Nofriadi
SAINS DAN TEKNOLOGI STTIND PADANG Vol 16, No 1 (2016): JURNAL SAINS DAN TEKNOLOGI STTIND PADANG
Publisher : Sekolah Tinggi Teknologi Industri Padang

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Abstract

Nagari Tarusan located in the Kabupaten Pesisir Selatan which has many tourist resorts, culinary and traditions still hold in high regard. The tourist resorts has a great potential to be developed, but a high potential is still not supported by ease of access to reach the tourist site, where the number and frequency of departure public transportation to tourist objects that exist in the region is still low and not optimal. Making the reservation website Nagari Tarusan tour packages will provide convenience for the people of Indonesia and the world. With the tour package booking website Nagari Tarusan will promote local economies and provide additional income for the Kabupaten Pesisir Selatan budget later. Keywords : Website, Tourism
SISTEM PAKAR UNTUK MENDIAGNOSA PENYAKIT LEUKEMIA DENGAN METODE BACKWARD CHAINING man, Nofriadi; wati, Elma; Yeni, Rima Fitri
SAINS DAN TEKNOLOGI STTIND PADANG Vol 16, No 2 (2016): JURNAL SAINS DAN TEKNOLOGI STTIND PADANG
Publisher : Sekolah Tinggi Teknologi Industri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (13.141 KB)

Abstract

Leukemia or blood cancer today is not detected early and the cause can not be in the unknown. The cost of examination and specialists who are sometimes not in place resulted in a lack of motivation of people to check early, when the cancer early checks can be dealt with quickly. To overcome this they invented an expert system that is created using the programming language Java, which can help experts in dealing with the diagnosis of leukemia using the method of inference Backward Chaining. The results of this design is a leukemia expert system applications, where users can check the program or examination and received the diagnosis of the disease suffered by the user program.Keywords : Expert System, Leukemia