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Ferns are low-level plants whose distribution is quite wide and are often found on the campus of UIN Sunan Gunung Djati Bandung. The aim of this research is to determine the calcification and relationships of ferns that live in the campus area using direct exploration methods by observing their morphological characteristics. The data from morphological observations is then processed into a dendogrm so that relationships can be identified and read using the similarity index formula. The results of this research show that 2 divisions of ferns were found, namely pteridophyta and traceophyta. In the pteridophyta division, 1 class, 2 orders, 6 families and 9 species were found. Meanwhile, in the traceophyta division, 1 class, 1 order, 1 family and 1 species were found. The results of the kinship analysis show that the 10 species of ferns can be divided into 2 large groups based on 16 morphological traits. The relationship between species is measured using the Sorensen similarity index, which shows that several species have a relationship that is very close (≥ 75%), close (51-74%), not close (26-50%), and very not close (≤ 25%). For example, Pityrogramma calomelanos and Adiantum capillus are very closely related with a similarity index of 87.5%, while Pyrrosia piloselloides and Phymatosorus scolopendria are not closely related with a similarity index of 43%.

Mengingat pelanggan Indihome yang terus meningkat setiap tahunnya, tidak menutup kemungkinan ada dampak di balik itu semua, salah satunya adalah gangguan terhadap layanan Indihome. Banyaknya gangguan yang terkadang harus melibatkan teknisi dari divisi yang berbeda untuk menangani gangguan tersebut menyebabkan keterlambatan dalam pekerjaannya sendiri. Penelitian ini hanya membahas penanganan kerusakan pada pelanggan Indihome dan solusi permasalahan pelanggan Indihome dengan mengkonsultasikan sistem untuk mencari solusi. Representasi pengetahuan yang digunakan adalah case-based reasoning dengan metode AHP dan algoritma similarity Sorensen. Hasil konsultasi penanganan gangguan pelanggan Indihome didapatkan dari nilai similarity terbesar Sorensen. Dari semua defect yang ditemukan, nilai similarity Sorensen tertinggi adalah STB UseeTv yang rusak dengan nilai similarity 0,736. STB UseeTv rusak memiliki nilai paling tinggi karena memiliki bobot gejala berat yang besar dimana kriteria gejala berat memiliki persentase bobot paling tinggi.