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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 
The Development Of Application For Selecting Programmer Experts At The Communication, Information, And Statistics Agency Of Bengkulu Province Using Simple Additive Weighting (Saw) Method Sari, Apriani Purwita; Khairil, Khairil; Trianggana, Dimas Aulia
Journal of Multidisciplinary Research Vol. 2 No. 2 (2026): January
Publisher : Utami Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70963/jmr.v2i2.489

Abstract

The Communication, Information, and Statistics Agency of Bengkulu Province are a local government agency that plays a role in managing public information and supporting the development of digital services. One of the agency's important needs is the availability of competent expert programmers to support the operation and development of information systems. This study aims to develop a web-based decision support system using the PHP programming language with the CodeIgniter Framework and MySQL database to facilitate the selection process of expert programmers. The Simple Additive Weighting (SAW) method was applied to produce objective assessments based on several criteria, namely age, work experience, certificates, portfolios, interviews, and competency tests, with the greatest weight given to the competency test aspect. A passing grade of 0.75 was set as the threshold for determining which applicants met the qualifications. The results of the study show that the system is capable of automatically calculating scores and rankings according to the predetermined criteria weights. The selection process is faster, more objective, and reduces the potential for errors compared to manual methods. In addition, the system reduces the need for manual recording, thereby increasing administrative efficiency. Thus, this decision support system has been proven to assist agencies in determining prospective programmer experts more accurately and transparently, and has the potential to be applied to the selection process in other government agencies.
IMPLEMENTASI METODE WEIGHTED PRODUCT UNTUK PENILAIAN PESERTA PELATIHAN TENAGA KERJA BERBASIS KOMPETENSI PADA DISNAKER KABUPATEN BENGKULU TENGAH Aprianto, Adjie Danang; Sartika, Devi; Trianggana, Dimas Aulia
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 9, No 1 (2026): February 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i1.5750

Abstract

Abstract: The assessment of competency-based labor training participants is an important aspect in ensuring the quality and effectiveness of training programs organized by DISNAKER of Central Bengkulu Regency. However, the manual assessment process is often subjective and time-consuming. To overcome this problem, this study implemented Weighted Product (WP) method as a decision support method in the training participant assessment process. WP method was chosen for its ability to handle various assessment criteria by assigning weights according to their level of importance. This study involved several assessment criteria, such as attendance, theoretical evaluation results, practical evaluation results, and attitude during training. The results of the implementation show that WP method can provide accurate and consistent rankings and assist DISNAKER in determining the best participants objectively. Thus, this WP-based assessment system is expected to improve transparency and efficiency in the workforce training evaluation process at DISNAKER of Central Bengkulu Regency. Keywords: Weighted Product (WP), Decision Support System, Participant Assessment, Workforce Training, DISNAKER. Abstrak: Penilaian peserta pelatihan tenaga kerja berbasis kompetensi merupakan aspek penting dalam memastikan kualitas dan efektivitas program pelatihan yang diselenggarakan oleh Dinas Tenaga Kerja (Disnaker) Kabupaten Bengkulu Tengah. Namun, proses penilaian yang dilakukan secara manual seringkali kurang objektif dan memerlukan waktu yang cukup lama. Untuk mengatasi permasalahan tersebut, penelitian ini mengimplementasikan metode Weighted Product (WP) sebagai metode pendukung keputusan dalam proses penilaian peserta pelatihan. Metode WP dipilih karena kemampuannya dalam menangani berbagai kriteria penilaian dengan memberikan bobot sesuai tingkat kepentingannya. Penelitian ini melibatkan beberapa kriteria penilaian, seperti kehadiran, hasil evaluasi teori, hasil evaluasi praktik, dan sikap selama pelatihan. Hasil implementasi menunjukkan bahwa metode WP dapat memberikan hasil peringkat yang akurat, konsisten, dan membantu pihak Disnaker dalam menentukan peserta terbaik secara objektif. Dengan demikian, sistem penilaian berbasis WP ini diharapkan dapat meningkatkan transparansi dan efisiensi dalam proses evaluasi pelatihan tenaga kerja di lingkungan Disnaker Kabupaten Bengkulu Tengah. Kata Kunci: Weighted Product(WP), Sistem Pendukung Keputusan, Penilaian Peserta, Pelatihan Tenaga Kerja, Disnaker
Co-Authors Antoni, Achmad Rudi Aprianto, Adjie Danang 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 Sari, Apriani Purwita Sartika, Devi Syahudin, Zaki Imam Toibah Umi Kalsum Yupianti, Yupianti