Analisis K-Medoids Dalam Pengelompokkan  Penduduk Buta Huruf Menurut Provinsi

Ningsih, Sri Rahayu; Damanik, Irfan Sudahri; Windarto, Agus Perdana; Tambunan, Heru Satria; Jalaluddin, Jalaluddin; Wanto, Anjar

doi:10.30645/senaris.v1i0.78

“…Data mining mulai ada sejak 1990-an sebagai cara yang benar dan tepat untuk mengambil pola dan informasi yang digunakan untuk menemukan hubungan antara data untuk melakukan pengelompokkan ke dalam satu atau lebih cluster sehingga objek -objek yang berada dalam satu cluster akan mempunyai kesamaan yang tinggi antara satu dengan lainnya. Data mining merupakan bagian dari proses penemuan pengetahuan dari basis data Knowledge Discovery in [3].…”

Section: Metodologi Penelitian 21 Data Miningunclassified

Penerapan Algoritma K-Means dalam Proses Clustering Penilaian Kinerja Aparatur Sipil Negera di Sekretariat DPRD Pematangsiantar

Aulia

¹

,

Safii

²

,

Suhendro

³

2021

jurasik

3

0

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This study discusses the assessment of the performance of the ASN (State Civil Apparatus) in the Pematangsiantar DPRD Secretariat based on the quality of its work. In carrying out their performance, emoployess are still often truant and have a poor work ethic.In this case the research aims to improve employee welfare. During this time the amount of employee income is only based on the group and position they have. This study uses the K-Means method to classify or classify employee performance quality assessments based on SKP (employee work objectives) with additional income based on work quality assessment and employee behavior.After conducting this research there is a result that in carrying out the performance of employees include Quality, Quantity, Time, Cost of each task activity so as to produce a system capable of assisting the appraisal officer in evaluating the quality of employee performance using the K-Means algorithm as information to find out the employee including very good, enough, and less.

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“…Data mining mulai ada sejak 1990-an sebagai cara yang benar dan tepat untuk mengambil pola dan informasi yang digunakan untuk menemukan hubungan antara data untuk melakukan pengelompokkan ke dalam satu atau lebih cluster sehingga objek -objek yang berada dalam satu cluster akan mempunyai kesamaan yang tinggi antara satu dengan lainnya. Data mining merupakan bagian dari proses penemuan pengetahuan dari basis data Knowledge Discovery in [2].…”

Section: Metodologi Penelitian 21 Data Miningunclassified

Analisis Kepuasan Masyarakat Terhadap Kualitas Pelayanan Pada Pengadilan Negeri Simalungun Menggunakan Metode Algoritma C4.5

Rahayu

¹

,

Damanik

²

,

Fauzan

³

2021

jurasik

Self Cite

5

0

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This study aims to analyze the level of community satisfaction with services in the District Court Simalungun using the C4.5 Algorithm method. The data source used in this study was taken with an instrument in the form of a questionnaire with closed and open answers, where the data is in the form of numbers and analyzed static descriptive. The study population was all service users in the District Court Simalungun, including Procedures, Service Time, Costs/ Tariffs, Implementing Behavior, etc. After doing the calculations manually, the verification is also done using the application, namely RapidMiner. From the analysis process, it can be seen that the responsive aspect is the most dominant aspect in determining the level of community satisfaction at the District Court Simalungun

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“…Data mining mulai ada sejak 1990-an sebagai cara yang benar dan tepat untuk mengambil pola dan informasi yang digunakan untuk menemukan hubungan antara data untuk melakukan pengelompokkan ke dalam satu atau lebih cluster sehingga objek -objek yang berada dalam satu cluster akan mempunyai kesamaan yang tinggi antara satu dengan lainnya. Data mining merupakan bagian dari proses penemuan pengetahuan dari basis data Knowledge Discovery in [4].…”

Section: Metodologi Penelitian 21 Data Miningunclassified

Penerapan Algoritma K-Means Dalam Mengelompokkan Rata-Rata Konsumsi Kalori Menurut Provinsi

Sinaga

¹

,

Solikhun

²

,

Suhendro

³

2021

jurasik

0

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Calories are a source of energy that we get from food intake that contains nutrients and as a basic human need for humans to survive. The number of people who consume excessive calories and do not pay attention to the amount of calorie intake that is consumed will result in the emergence of various diseases that are bad for health. In this case the government does not have information about the data on the average calorie consumption per province by province. The purpose of this study is to determine the highest and lowest clusters, for that the authors use Data Mining with the K-Means Algorithm to classify Average Calorie Consumption per day by province. This test is carried out using RapidMiner software. The results were obtained from the average grouping of calorie consumption grouped by two clusters: high and low clusters, high clusters of 13 provinces and low clusters of 21 provinces. Provinces that are classified as low clusters are expected to be a contribution for the Indonesian government for decision making in an effort to maintain a balanced consumption of calories per day and create a healthy lifestyle program in the future.

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Analisis K-Medoids Dalam Pengelompokkan Penduduk Buta Huruf Menurut Provinsi

Cited by 7 publications

References 0 publications

Penerapan Algoritma K-Means dalam Proses Clustering Penilaian Kinerja Aparatur Sipil Negera di Sekretariat DPRD Pematangsiantar

Penerapan Algoritma K-Means dalam Proses Clustering Penilaian Kinerja Aparatur Sipil Negera di Sekretariat DPRD Pematangsiantar

Analisis Kepuasan Masyarakat Terhadap Kualitas Pelayanan Pada Pengadilan Negeri Simalungun Menggunakan Metode Algoritma C4.5

Penerapan Algoritma K-Means Dalam Mengelompokkan Rata-Rata Konsumsi Kalori Menurut Provinsi

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