?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=SISTEM+PAKAR+DIAGNOSIS+PENYAKIT+TANAMAN+CABAI+MENGGUNAKAN+METODE+FORWARD+CHAINING+%0D%0ABERBASIS+ANDROID%0D%0A&rft.creator=MITA+FULJANA%2C+1347051007&rft.subject=Q+Science+(General)&rft.description=ABSTRACT%0D%0A%0D%0AThis+research+was+conducted+to+make+an+expert+system+that+is+able+to+diagnose+disease+in+chili+plants+based+on+knowledge+that+provided+directly+from+the+experts.+This+research+uses+classical+probability+calculation+method+in+calculating+the+percentage+of+diagnoses+and+created+on+the+Android+mobile+device+platform.+In+this+research+consisted+of+37+symptoms+data%2C+10+data+of+chili+disease+caused+by+fungi%2C+and+10+rules+of+data.+This+expert+system+uses+inference+forward+chaining+method+.+Test+results+show+that%3A+(1)+Functional+testing+using+the+Black+Box+Equivalence+Partitioning+(EP)+method+get+the+results+as+expcted+on+the+test+scenario+in+each+test+class.+(2)+Expert+testing+by+comparing+the+results+of+manual+and+system+calculations+are+already+appropriate+and+running+well.+(3)+Tests+using+questionnaires+with+53+respondents+which+is+divided+into+four+groups+of+respondents+shows%3B+the+first+respondents+group+that++is+consisting+of+experts+of+chili+disease+got+an+average+value+of+85.14%25+(categorized+excellent)%2C+the+second+respondents+group+that+is+consisting+of+students+of+Agriculture+Department+84.13%25+(categorized+excellent)%2C+third+respondent+group+that+is+consisting+of+students+of+Computer+Science+Department+84.28%25+(categorized+excellent)%2C+and+fourth+respondent+group+that+is+consisting+of+chili+farmers+86%25+(categorized+excellent).%0D%0AKey+Words+%3A+Android%2C+Expert+System%2C+Chili+Disease%2C++Classic+Probability%2C+Forward+Chaining%2C+Likert+Scale%0D%0A%0D%0A%0D%0AABSTRAK%0D%0A%0D%0APenelitian+ini+dilakukan+untuk+membuat+suatu+sistem+pakar+yang+mampu+mendiagnosis+penyakit+pada+tanaman+cabai+berdasarkan+pengetahuan+yang+diberikan+langsung+dari+pakar%2Fahlinya.+Penelitian+ini+menggunakan+metode+perhitungan+probabilitas+klasik+dalam+menghitung+presentase+diagnosis+dan+dibuat+pada+mobile+device+platform+Android.+Pada+penelitian+ini+terdiri+dari+37+data+gejala%2C+10+data+penyakit+cabai+yang+disebabkan+oleh+jamur%2C+dan+10+data+aturan.+Sistem+pakar+ini+menggunakan+metode+inferensi+forward+chaining.+Hasil+pengujian+menunjukkan+bahwa%3A+(1)+Pengujian+fungsional+dengan+menggunakan+metode+Black+Box+Equivalence+Partitioning+(EP)+mendapatkan+hasil+sesuai+dengan+yang+diharapkan+pada+skenario+uji+di+setiap+kelas+uji.+(2)+Pengujian+kepakaran+dengan+membandingkan+hasil+perhitungan+manual+dan+sistem+sudah+sesuai+dan+berjalan+baik.+(3)+Pengujian+kuesioner+dengan+53+responden+yang+dibagi+menjadi+empat+kelompok+responden+menunjukkan%3B+kelompok+responden+pertama+yang+terdiri+dari+pakar+penyakit+cabai+mendapatkan+rata-rata+nilai+sebesar+85%2C14+%25+(dikategorikan+sangat+baik)%2C+kelompok+responden+kedua+yang+terdiri+mahasiswa+jurusan+Pertanian+84%2C13+%25+(dikategorikan+sangat+baik)%2C+kelompok+responden+ketiga+yang+terdiri+dari+mahasiwa+jurusan+Ilmu+Komputer+84%2C28+%25+(dikategorikan+sangat+baik)%2C+dan+kelompok+responden+keempat+yang+terdiri+dari+petani+cabai+86+%25+(dikategorikan+sangat+baik).%0D%0AKata+Kunci%3A+Sistem+Pakar%2C+Probabilitas+Klasik%2C+Forward+Chaining%2C+Penyakit+Cabai%2C+Skala+Likert%2C+Android%0D%0A&rft.publisher=FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM+&rft.date=2017-10-13&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F28819%2F1%2FABSTRACT%2520%2528ABSTRAK%2529.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F28819%2F2%2FSKRIPSI%2520FULL.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F28819%2F3%2FSKRIPSI%2520TANPA%2520BAB%2520PEMBAHASAN.pdf&rft.identifier=++MITA+FULJANA%2C+1347051007++(2017)+SISTEM+PAKAR+DIAGNOSIS+PENYAKIT+TANAMAN+CABAI+MENGGUNAKAN+METODE+FORWARD+CHAINING+BERBASIS+ANDROID.++FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM+%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F28819%2F