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Dimas Aulia Trianggana
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Penerapan Data Mining Dalam Pengelompokan Data Nilai Siswa SMA Negeri 7 Kota Bengkulu Menggunakan Metode K-Means Clustering Antoni, Achmad Rudi; Sartika, Devi; Trianggana, Dimas Aulia
Jurnal Media Infotama Vol 21 No 1 (2025): April 2025
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i1.8101

Abstract

SMA Negeri 7 Kota Bengkulu is one of the State Senior High SchoolsState Senior High School located in Bengkulu City which has a commitment to in developing student potential. So far, data processing of student grades for each subjects have used e-report cards and the report card data can be exported to a Microsoft Excel file. exported into a Microsoft Excel file. However, the student grade data is data is often only stored as an archive without any further analysis to find out to find out information about patterns or trends in student achievement. At where this can help the school in providing guidance and optimizing the academic potential of each student at SMA Negeri 7. optimize the academic potential of each student at SMA Negeri 7 Bengkulu City based on the level of student achievement. Bengkulu City based on student achievement levels. Application of data mining in grouping data grades of SMA Negeri 7 Bengkulu City students using the K-Means Clustering Method is built desktop-based with the Visual Basic .Net programming language. Visual Basic .Net programming language, The application of data mining in grouping data in clustering student grades of SMA Negeri 7 Bengkulu City is carried out per student subject with subject value attributes and attendance percentage. The application of data mining in clustering student grade data of SMA Negeri 7 Bengkulu City can help in knowing the level of achievement of students of SMA Negeri 7 Bengkulu City. Bengkulu City can help in knowing the level of student achievement in each subject and can be used as an evaluation material to improve the level of student achievement in each subject. subjects and can be used as evaluation material to improve the achievement of students who are at low achievement levels. who are at a low level of achievement.
PENERAPAN METODE SAW DALAM SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN KINERJA PEGAWAI APARATUR SIPIL NEGARA Gitarya, Leci; Sartika, Devi; Trianggana, Dimas Aulia
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.4170

Abstract

Abstract: State Civil Servants are always required to have full loyalty and obedience in carrying out their duties. Decision support systems can be used as a solution to a problem or for an opportunity. The SAW method is a method that can help solve complex problems by structuring a hierarchy of criteria. Based on this research, the researcher tried to prove previous research and increase the accuracy of the data so that the researcher took the title "Application Of The SAW Method In A Decision Support System To Determine The Ferfomance Of State Civil Servants  " This aims to ensure that the new information produced can increase knowledge about determining the performance of sub-district officials at the Merigi Kelindang sub-district office, Central Bengkulu Regency. Keywords: SPK, Ferfomance, SAW State Civil Aparatus Abstrak: Aparatur Sipil Negara senantiasa dituntut memiliki kesetiaan dan ketaatan penuh dalam menjalankan tugas-tugasnya. Sistem pendukung keputusan dapat dijadikan solusi atas suatu masalah atau untuk suatu peluang. Metode SAW yaitu metode yang dapat membantu memecahkan persoalan yang kompleks dengan menstruktur suatu hirarki kriteria,. Berdasarkan penelitian tersebut peneliti mencoba untuk membuktikan penelitian sebelumnya dan meningkatkan keakurasian data sehingga peneliti mengambil judul “Penerapan metode SAW dalam sistem pendukung Keputusan Untuk Menentukan Kinerja Pegawai Apartur Sipil Negara. Hal ini bertujuan agar informasi baru yang dihasilkan dapat meningkatkan pengetahuan tentang menentukan kinerja aparatur kecamatan dikantor camat merigi kelindang Kabupaten Bengkulu Tengah Kata Kunci : SPK , Kinerja , SAW Aparatur Sipil Negara
PENERAPAN METODE K-MEDOID DALAM PENGELOMPOKAN STATUS EKONOMI MASYARAKAT PADA KECAMATAN TALANG EMPAT Kanedi, Indra; Trianggana, Dimas Aulia; Mardian, Harjo
Jurnal Ilmiah Rekayasa dan Manajemen Sistem Informasi Vol 10, No 2 (2024): Agustus
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/rmsi.v10i2.30587

Abstract

Abstract Talang Empat District is one of the sub-districts in Central Bengkulu Regency, Bengkulu Province. Every year the Talang Empat District Office will record population data for data archiving and reporting. The economic capacity of each community is different, some have high economic status, some have medium, and some have low.The application of the K-Medoid Method in grouping the economic status of the community in Talang Empat District can help staff/employees of the Talang Empat District Office in managing population data in Talang Empat District, especially with regard to the economic status of the population, and can also help provide information on the results of grouping population data based on status. The economy has been divided into 3 groups, namely high, medium and low. Based on the data used as many as 90 residents in Kembang Seri Village, Taba Pasemah Village, and Nakau Village, Talang Empat District, Central Bengkulu Regency, the results showed that the number of residents in Cluster I (High Economic Status) was 14 residents with a percentage of 15.6%, Cluster II (Medium Economic Status) has 44 residents with a percentage of 48.9%, and Cluster III (Low Economic Status) has 32 residents with a percentage of 35.6%.Based on the black box testing that has been carried out, the results obtained are that the functionality of the application runs as expected and the application is able to display the results of grouping population data into 3 clusters according to the data collection year chosen according to the K-Medoid Method. Keywords: K-Medoid Method, Economic Status, Talang Empat District 
Co-Authors Antoni, Achmad Rudi Cahya, Bima Dwi Gitarya, Leci Herlina Latipa Sari Hermawansyah, Hermawansyah Indra Kanedi Khairil Khairil Mardian, Harjo Maryaningsih, Maryaningsih Oktavia, Bella sapri sapri Saputra, Wiwin Irianto Sartika, Devi Syahudin, Zaki Imam Toibah Umi Kalsum Yupianti, Yupianti