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All Journal KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) JURIKOM (Jurnal Riset Komputer)
Pristiwanto, Pristiwanto
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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SISTEM PAKAR MENDIAGNOSA PENYAKIT JAMUR AKAR PUTIH (RIQIDOPORUS LIGNOSUS) PADA TANAMAN KARET (HAVEA BRASILIENSIS) DENGAN METODE CERTAINTY FACTOR Miranda, Rina; Hasibuan, Nelly Astuti; Pristiwanto, Pristiwanto; Mesran, Mesran
JURIKOM (Jurnal Riset Komputer) Vol 3, No 6 (2016): Desember 2016
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (378.217 KB) | DOI: 10.30865/jurikom.v3i6.188

Abstract

Penyakit Jamur akar putih,diakibatkanoleh lahan yang dipenuhi sisa tanaman hutan atau bekas tanaman karet yang tidak dicabut dan dibakar yang menjadi serang koloni jamur akar putih. Penyakit jamur akar putih dapat menyebabkan kematian tanaman langsung, sehingga populasi pohon per satuan luas menjadi berkurang dan sebagai akibatnya produktivitas kebun menjadi sangat rendah.Kepastiandiagnosaterhadappenyakit jamur akar putihdapatdilakukanmelaluipemeriksaan laboratorium. Sistem pakar adalah program komputer yang menirukan penalaran seorang pakar dengan keahlian pada suatu wilayah pengetahuan tertentu (Turban,1995). Sistem pakar mencoba mencari solusi, memberikan saran atau kesimpulan yang konsisten  terhadap permasalahan yang ditemukannya. Pada penelitian ini, penulis mendiagnosa penyakit pada jamur akar putih. dengan membangun sebuah sistem pakar yang dapat menganalisa gejala-gejala penyakit menjadi  sebuah  keputusan namapenyakit dengan menggunakan  metodeForward Chainingsebagaimetodepenelusurandan metode certainty factorsebagaimetode untukmenghitungnilaikepercayaanatas gejalayangdiberikanolehpakar.
IMPLEMENTASI ALGORITMA K-Modes UNTUK MENENTUKAN STRATEGI MARKETING STMIK BUDI DARMA Nduru, Ewin Karman; Buulolo, Efori; Pristiwanto, Pristiwanto
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 2, No 1 (2018): Peranan Teknologi dan Informasi Terhadap Peningkatan Sumber Daya Manusia di Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v2i1.903

Abstract

Universities or institutions that operate in North Sumatra are very many, therefore, of course, competition in accepting new students is very tight, universities or institutions do certain ways or steps to be able to compete with other campuses in gaining interest from community or high school students who will continue their studies to a higher level. STMIK BUDI DARMA Medan (College of Information and Computer Management), is the first computer high school in Medan which was established on March 1, 1996 and received approval from the government through the Minister of Education and Culture, on July 23, 1996 with operating license number 48 / D / O / 1996, in promoting the campus, the team usually formed a promotion team to various regions in the North Sumatra Region to provide information to the community. Students who have learned in this campus are quite a lot who come from various regions in North Sumatra, from this point the need to process data from students who are active in college to be processed using data mining to achieve a target, one method that can be used in data mining, namely the ¬K-Modes clustering (grouping) algorithm. This method is a grouping of student data that will be a help to campus students in promoting, using the K-Modes algorithm is expected to help and become a reference for marketing in determining the marketing strategy STMIK Budi Darma MedanKeywords: STMIK Budi Darma, Marketing Strategy, K-Modes Algorithm.
Co-Authors Efori Buulolo Mesran, Mesran Miranda, Rina Nduru, Ewin Karman Nelly Astuti Hasibuan