Pemilihan Pegawai Berprestasi Pada Kantor Pegawai Badan Daerah Dengan Menggunakan Metode SAW

Management of human resources (HR) from an office do a lot in improving dedication and performance. However, in reality Simple Additive Weigthing (SAW) are carried still not optimal in the implementation of the selection of out standing employees this study aims to determine the assessment process and the selection of out standing employees the system use the method Simple Additive Weigthing (SAW) by using the ctriteria that have been used, namely work Ethincs, Absenteenism, Discipline, Cooperation and Responsible

Prediksi Kelulusan Mahasiswa Stikom Tunas Bangsa Prodi Sistem Informasi Dengan Menggunakan Algoritma C4.5

Graduation is an important element in an accreditation assessment process of an institution or university. It is important to find out information about the predictions of student graduation in the Information Systems Study Program at STIKOM Tunas Bangsa Pematangsiantar, so that students who cannot graduate on time can be identified earlier. The application of data mining can be used to predict student graduation. Method that often used to predict student graduation is classification method. This research using C4.5 Algorithm. Data that used as training data are from alumni of Information Systems Study Program at STIKOM Tunas Bangsa and the final level student data of Information Systems Study Program at STIKOM Tunas Bangsa used as testing data. Through this research, it is expected that the results can provide information on predictions of student graduation on time and as a suggestion for the university in making good decisions for improvement in the future.

Analisis Data mining dengan Metode C.45 pada Klasifikasi Kenaikan Rata-Rata Volume Perikanan Tangkap

Increasing the amount of demand for natural resource needs is increasing. One of them is natural resources in the sea and coast. The current condition of capture fisheries in Indonesia is not yet optimal. This is indicated by the increase in the volume of capture fisheries production which is very slow. The purpose of this study is to make data classification for the prediction of the average volume increase in capture fisheries with data mining techniques. Data mining techniques are applied to determine the data patterns of the capture fisheries dataset, so the results of the classification can be applied to evaluate the factors that affect the volume of capture fisheries. The classification algorithm used is C45. The results of the classification were tested with rapidminer in classifying data. The level of performance is indicated by the accuracy value. The accuracy value is obtained by testing the results of the classification of training data and testing data. Comparison of accuracy values between the algorithms used can be seen the best algorithm in making the classification of capture fisheries data.

Implementasi Data Mining Algoritma Apriori Pada Sistem Persediaan Bahan Bangunan Di Karang Sari

The development of construction in Indonesia is increasing rapidly, therefore building materials are needed to be used in building a construction. Every building materials store must have a transaction system and an inventory system. Whether it's an efficient or less efficient inventory system. For this reason, this research was conducted to help the owner or manager of a building shop to more easily determine the combination pattern of supplies and purchases of building goods. The a priori algorithm is used in this study because the a priori algorithm is suitable in connecting the itemset combination patterns. Therefore the a priori algorithm is suitable in determining the purchase combination pattern in order to get a good inventory system. And from the process carried out, a confidence value of 75% was obtained, not only that this research was also assisted by a priori algorithm supporting application, namely the Tanagra application.

Analisis Faktor Kompetensi Pedagogik Guru Dalam Proses Pembelajaran Menggunakan Algoritma C45

Pedadogic competencies are the competencies that teachers must have in managing learning so that the process can run well. Mining data is a series of processes to explore the added value obtained from information or knowledge that can form a decision pattern that will later be used in analyzing pedagogical competency factors the teacher in the learning process for one semester is based on the criteria of understanding students, designing learning, evaluating learning outcomes, learning that educates and dialogues and develops students to share their potential. Pedagogic assessment is done by summing the value of each criterion and using a standard value to determine the final value. The application of the c45 algorithm can be used to prodece a decission tree that will be taken to determine the form of rules or rules that will be used as a decision tree

Analisa Tingkat Kepuasan Masyarakat Terhadap Pelayanan Pengadilan Agama Pematangsiantar Menggunakan Algoritma C4.5

The purpose of this study was to determine how much the level of community satisfaction with services in the Pematangsiantar Religious Court. In this study, researchers used the data mining technique C.45 algorithm. The source of research data used is by giving questionnaires to the community. In this case the researchers used the assessment attributes, among others: Service, ability, behavior, cost, and infrastructure. In this study the alternative used as a sample is Pematangsiantar City Community. the results of this study will become input for the Pematangsiantar Religious Court to provide the best possible service so that the community is satisfied with the service.

Analisa Faktor Kesulitan Mahasiswa Dalam Menyelesaikan Skripsi Dengan Algoritma C4.5

The purpose of this study was to determine the most dominant factor in students' difficulties in completing their thesis. In this study, researchers used data mining techniques using the C4.5 algorithm. Sources of research data used were obtained from interviews and questionnaires to students randomly in the STIKOM Tunas Bangsa Pematangsiantar environment. The research variables used were motivation to graduate on time (C1), ability to write scientific papers (C2), availability of learning resources (C3), guidance process (C4), and peer environment (C5). In this study, the alternative used as a sample is the student of STIKOM Tunas Bangsa, semester eight. The results of the classification using the C4.5 algorithm and testing with rapidminer software found that the most dominant factor in student difficulty in completing theses was the motivation to graduate on time (C1) with a gain value of 0.204593531.

Analisis Rekomendasi Peluang Usaha Jajanan Makanan Dengan Teknik VIKOR

The research aims to determine the right food snack business opportunities that are able to attract public interest in Pematangsiantar City. The decision support system applied in this study uses the Vikor method. Sources of research data are obtained by observing or interviewing traders who sell food snacks in Pematangsiantar City. The recommendation of food snack business opportunities was carried out by taking 13 samples and using several criteria, including: (K1) initial capital, (K2) operating costs, (K3) profit, (K4) buyers, and (K5) competitors as benchmarks. From the results of research conducted with the Vikor method, it shows that the alternative that ranks first with the smallest Q value is Assorted Ice Cream with a value of Q = 0 as the recommended alternative.

Penerapan Metode VIKOR Pada Pengambilan Keputusan Seleksi Calon Penerima Beasiswa di SMK TPI Al-Hassanah Pematang Bandar

The purpose of this research is to build a decision support system that can be used by schools in the selection of scholarship recipients, which requires completion, as decision support with multicriteria is the VIKOR method. The basic concept of the VIKOR method is to determine the ranking of the existing samples. This study aims to apply the VIKOR method to the selection of scholarship recipients that can be used to assist the student section in determining the recommendation for scholarship acceptance at SMK TPI AL-HASANNAH Pematang Bandar by considering various predetermined criteria. The criteria used in this study are value, parent's income, parent's dependents, number of siblings. The results show that the VIKOR method can be used to assist the selection process and determine the right scholarship recipient. In the VIKOR method, each weight given shows the same results, so that it can be used as a compromise solution in dealing with multicriteria problems.

Penerapan Metode K-Means Dalam Mengelompokkan Banyaknya Desa/ Kelurahan Menurut Keberadaan Permukiman Di Bantaran Sungai Berdasarkan Provinsi

The research aims to classify the settlements along the river banks by province. To solve this problem, the researchers applied the K-Means Algorithm method. Where the source of research data was collected based on documents explaining the number of villages / sub-districts according to the existence of settlements on the river banks produced by the Central Statistics Agency (BPS). The data used in the study are data from 2014 - 2018 which consists of 34 provinces. The data will be processed by clustering in 2 clusters, namely the settlement level cluster on the high riverbank and the settlement level cluster on the low riverbank. The high cluster consists of 11 data, namely the provinces of Aceh, North Sumatra, Jambi, South Sumatra, West Java, Central Java, East Java, West Kalimantan, Central Kalimantan, South Kalimantan, and South Sulawesi. By conducting the research, it can provide input and as a solution to related parties in charge of dealing with settlement problems along the river banks, especially for the government, in order to get more attention in provinces with high riverbank settlement rates.