SISTEM INFORMASI GEOGRAFIS PENENTUAN DAERAH POTENSI RAWAN PANGAN (STUDI KASUS: KABUPATEN PONTIANAK)
Abstract: Food is a basic need
for humans. The more advanced a nation, the greater demands for quality of the
food they consume will be increase. Nevertheless there are still many places
where the unmet food evenly. Food
insecurity could cause to hunger, malnutrition and health problems, and worst
is death. Food insecurity can be seen in terms of production, consumption and
distribution. Geographical mapping activities should be planned and conducted
to assist in determining priority areas that potentially have food insecurity.
This research aims to map the areas of potential food insecurity in the
district of Pontianak and analyze the indicators that have been defined,
specifically the access roads, the number of grocery stores, the amount of
maternal mortality, malnutrition, electricity, health facilities and poor
families. The analysis of composite prioritization is done by using Principal
Component Analysis (PCA) and analysis of clusters (clustering). Principal
Component Analysis (PCA) is a method used to construct a new variable which is
a linear combination of the original variables. To give the accurate results,
the variable will be reduced to create a new variable called principal
component. Observation Cluster analysis is also used to perform the analysis of
existing patterns, classifying objects into groups that have similar and
classifying the pattern. This system
can help us to manage the tabular data
of indicator and displayed as maps and generate reports in tabular form of
potentially food-insecure areas. The
conclution of this research represent the priority areas of food insecurity are
Wajo Hulu, Jungkat, Sei Nipah, Parit Bugis, Galang, Peniraman, Sei Pinyuh, Sei
Bakau Besar Laut, Pasir Wan Salim, Penibung, Terusan and Sei Limau. Based on
the questionnaire testing,
the result shows the average
respondent gives 50% percentage point of the importance of this application.
Penulis: Yunitia Sari
Kode Jurnal: jptinformatikadd140179
