Page 60 - Proceeding The 2nd International Seminar of Science and Technology : Accelerating Sustainable Innovation Towards Society 5.0
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nd
               The 2  International Seminar of Science and Technology
               “Accelerating Sustainable innovation towards Society 5.0”
               ISST 2022 FST UT 2022
               Universitas Terbuka
               Thing, the so need is known by Specific areas that have not affordable
               and necessary maximized in enhancement use tool contraception for
               maximize the family planning program.
               Study related with method clustering was carried out by Ramadhan,
               A., et.al., [6] with compare K-Means and FCM methods for grouping
               User  Knowledge  Modelling  data.  Research  results  show  that  FCM
               method  is method best because have score validity  highest.  Study
               other  carried  out  by  Putri,  GNS,  et.al.,  [7]  with  compare  FCM  and
               FPCM  algorithms  for  grouping  tweets  data  on  account  Tokopedia
               twitter . Study this produce conclusion that algorithm best in formation
               cluster  i.e.  FCM  with  the  highest  MPC  value  and  form  4  optimal
               clusters.
               2  METHODOLOGY
               2.1  Clustering
               Clustering is one method multivariate purpose for group data by the
               characteristics  it  has  or  level  resemblance  [8].  Because  of  that's
               existing object in same group relatively more homogeneous ( has the
               same characteristics ) compared objects that are in different groups
               [9].  Based  on  structure,  clustering  divided  Becomes  two  that  is
               hierarchy and partition [10]. Clustering that uses draft partition there is
               three that is partition classic, partition Fuzzy and partition Possibilistic
               [11]. On partition classic, one data only will have 2 possibilities score
               membership i.e. 1 or 0, where only there are 2 possibilities Becomes
               member A or no Becomes member A. On partition Fuzzy, membership
               a  data  is  declared  with  degrees  membership  located  between  the
               interval  0  to  1  [12].  Whereas  for  partition  Possibilistic,  sum  score
               membership every data on all Cluster no must be 1.

               2.2  Logica Fuzzy
               Logic Fuzzy is method that was first introduced by Pradalah something
               the right way for map something input space to in something output
               space [13]. Logic Fuzzy basically is valuable logic much can define
               score between common situation like right and wrong, yes and no,
               black and white or success and failure [10]. Logic Fuzzy have degrees


               ISST 2022 – FST Universitas Terbuka, Indonesia             39
               International Seminar of Science and Technology “Accelerating Sustainable
               Towards Society 5.0
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