The purpose of this study is to select the location of student boarding houses using Particle Swarm Optimization (PSO) and C4.5 optimization techniques. The source of the data was obtained by observing and giving questionnaires to 150 respondents who were lodging in the Pematangsiantar-Simalungun area. from the data set of 81 records and using 5 parameters of assessment ((C1) water cleanliness, (C2) Facilities, (C3) Transportation, (C4) Security, and (C5) Conditions) obtained the results of modeling using the C4.5 + PSO algorithm has better accuracy is 97.78% compared to the C4.5 model whose accuracy is 97.53%. Thus, it is evident that the PSO applied to the weighting of the C4.5 attribute increases the value of accuracy..
Kegiatan Pengabdian kepada masyarakat pelatihan komputer ini bertujuan untuk meningkatkan kemampuan atau kualitas pada perangkat desa PEMDES desa Kebakalan khususnya pada bidang administrasi secara komputerisasi. Kegiatan pengabdian ini dalam bentuk pelatihan komputer ini, para perangkat desa diberikan materi tentang pengetahuan teknologi informasi serta materi Microsoft Office 2010 (Word. Excel. Powerpoint) yang sering digunakan dalam kegiatan sehari-hari dalam pelayanan kepada masyarakat seperti pengetikan pembuatan surat-menyurat, pembuatan laporan administrasi, laporan-laporan kegiatan, laporan keuangan. Kegiatan ini diikuti oleh 10 orang perangkat desa Kebakalan, yang dilaksanakan 1 hari penuh. Hasil dari pelatihan komputer ini perangkat desa mampu dalam pembuatan surat, pengadministrasian administrasi desa secara komputerisasi, mampu mengoprasikan excel dalam membuat laporan-laporan keuangan
The research objective was to analyze service quality management on customer satisfaction by utilizing decision support system (DSS) techniques in the completion process. The research data source is the Regional Drinking Water Company (abbreviated as PDAM) “Tirtauli” in Pematangsiantar city. The object of the research is the customers / users of PDAM services which are carried out by means of random observations and questionnaires. The DSS technique used is the analytic hierarchy process (AHP) method. The result of the method is a recommendation in the form of a ranking of service quality management on customer satisfaction. The criteria used to measure customer satisfaction in research are physical evidence (K1), reliability (K2), responsiveness (K3), assurance (K4), care (K5). The calculation results of the AHP method state that two very influential criteria in improving service quality management on customer satisfaction are assurance (K4) with a final value of 0.1929 and reliability (K2) with a final value of 0.1912. The results of the research are expected to provide information and input to the management of PDAM Tirtauli in improving service quality management in order to achieve customer satisfaction.
Water is an essential requirement in human life. However, pollution causes the water quality to become poor, making it unsuitable for use. Pollution comes from rubbish and waste dumped into rivers, lakes and other water areas. This study aims to carry out a model for mapping areas contaminated with water pollution using artificial intelligence techniques. The data sample comes from the Indonesian Central Statistics Agency (abbreviated as BPS) which consists of 34 records. The data used are provinces in Indonesia that are polluted by water pollution in rural areas. The intelligence technique used is data mining using the k-means method. The variable used is the number of polluted villages by province. The mapping label used is the high cluster (K1) for water pollution and the low cluster (K2) for water pollution. Analysis using Rapid Miner software. The results showed that 4 provinces were included in the high cluster (K1) category, namely North Sumatra, West Java, Central Java, East Java. Testing of cluster results was carried out using Davies Bouldin (k = 2) with a value of 0.328, which means that the cluster results created were optimal. The results of the analysis are expected to be input for the government in focusing on areas polluted with water pollution.
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