One of the main duties of the police is to provide services to the community, namely the preparation of Police Record Certificate (SKCK). Making SKCK based online to facilitate the community in making SKCK. But there are some online SKCK users, there are still many problems that arise and criticism of online SKCK. Therefore it is necessary to measure the level of satisfaction and analyze the factors that affect user satisfaction with online SKCK. This study uses the End User Computing Satisfaction (EUCS) method. This type of research is quantitative by distributing questionnaires to SKCK registrants in the Banyuwangi area. Data analysis was carried out by using valid test, reliable test, descriptive statistical test, F test and T test using SPSS 22. The results of the descriptive test with the Likert scale in order of the largest, namely the content variable with a percentage of 85.4%, are included in the Very Satisfied category, the 80.4% timeliness variable is included in the Very Satisfied category, the 75.8% ease of use variable is included in the Satisfied category, the 73.2% format variable is included in the Satisfied category and 67.5% accuracy variable is included in the Satisfied category.
This study aimed to analyze the most influential variable in the implementation of ICT in schools. Principal component analysis using linear algebra to reduce the dimension of data with variables that are interconnected into a new set of data with variables that are not related to each other, called the principal component. Principal component is used to save and calculate how much correlation within varian. The ICT data is collected from 50 schools, this data is grouped into five group based on reference domain of ICT for education indicator by UIS 2009. Dataset per group is used as input for principal component analysis algorithm with Matlab R2014a and produce principal component. Principal component analysis produce five variable with the most influence based on their domain, there are mean hour for individual using of ICT in curicculum domain, existence school in internet in infrastructure domain, learner proportion in using computer laboratory for learning in teacher development domain, learner propostion that computer basic skill course in participation domain.
Keywords: ICT; Principal component analysis; DatasetPenelitian ini ditujukan untuk melakukan analisa variable yang paling berpengaruh dalam implementasi TIK untuk pendidikan di sekolah. Principal Component Analysis menggunakan aljabar linear untuk mereduksi dimensi data dengan variable yang saling berhubungan menjadi data set baru dengan variable yang tidak saling berkaitan, yang disebut dengan principal component. Principal component digunakan untuk menyimpan dan menghitung nilai korelasi antar varian. Data TIK sekolah dikumpulkan melalui pengisian kuisioner dari 50 sekolah, data tersebut kemudian dikelompokan menjadi lima kelompok berdasarkan referensi domain TIK untuk pendidikan dari UIS 2009. Dataset dari masing-masing kelompok tersebut digunakan sebagai input untuk algoritma PCA menggunakan Matlab R2014a dan menghasilkan principal component. Analisa principal component menghasilkan lima variable yang paling berpengaruh pada masing-masing domain, yaitu rata-rata jumlah jam penggunaan TIK individu dalam kurikulum), eksistensi sekolah di internet melalui website sekolah berupa infrastruktur, ketersediaan layanan pendukung TIK untuk pengembangan guru), proporsi siswa yang menggunakan labortorium komputer untuk pembelajaran dalam domain pemanfaatan, proporsi siswa yang mengikuti mata pelajaran skill komputer dasar dalam domain partisipasi siswa.
Water flow distribution to home residents from the artesian well is affected by infrastructure. The more houses that distributed makes decreased amount supply of artesian water in every house. the longer of pipe leight and many branches traversed makes decrease of water supply because there will be many possible pipeline leaks. The more pipes used make the more expensive infrastructure cost. This problem occurs in Jubung area. These problems is one variation of the minimum Spanning Tree problems. This problem can be solved by the shortest path optimization route. It uses network method by implementing graph theory through kruskal algorithm. The first step is determined the nodes and sides. Nodes represent house and the sides represents the connecting pipes between houses. Kruskal is chosen because the kruskal focuses on the side and the graph is incomplete. focus of this study is the length optimation of the connecting pipe that is represented by side. In the pipe infrastructure figure map is representing of an incomplete graph because there are several nodes that are not connected to all nodes because it is adapted to the contour of the land that is not possible traversed the pipe. The results is there are several paths that are changed, especially the side to connect between node 1-4, 4-12, 19-20, 21-6 dispensed because forming cycles. The result of this research is kruskal can make decreasing infrastrukture cost Rp.7.535.500 with length of 201,5 meter so can save Rp.4.401.000 from Rp Rp.11.936.500.
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