Dedi Suhendro
AMIK Tunas Bangsa, Pematangsiantar, Sumatera Utara, Indonesia

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Pemilihan Pegawai Berprestasi Pada Kantor Pegawai Badan Daerah Dengan Menggunakan Metode SAW Hanne Lore Br Siagian; Irfan Sudahri Damanik; Dedi Suhendro
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 2, No 2 (2021): Edisi Juni
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v2i2.70

Abstract

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
Analisis Rekomendasi Peluang Usaha Jajanan Makanan Dengan Teknik VIKOR Asri Yustika; Sundari Retno Andani; Dedi Suhendro
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 2, No 1 (2020): Edisi Desember
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v2i1.43

Abstract

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.
Implementasi Metode K-Means pada Hasil Produksi Daging Jenis Ternak Siti Nurmila Saragih; M Safii; Dedi Suhendro
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 6, No 1 (2021): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v6i1.288

Abstract

Meat production results should have good quantity and quality. To increase meat production, of course it is necessary to look at healthy types of livestock. Meat continues to increase in line with the increase in population, community income, education, standard of living and awareness of the nutritional value of animal production. The need for livestock meat production is one of the driving factors for the economy in Indonesia. This research can provide and input to the local government which is the leading producer of meat for the type of livestock in North Sumatra province and as a basis for making policies to increase meat production for other provinces. The method used in this research is the K-Means Algorithm. Where K-Means is one of the Algorithms in Data Mining that can be used to group data clusters. So that the data from 33 districts / cities will be divided into 2 clusters where cluster 1 is the high group, while cluster 2 is the low group. The results obtained from the study show that the results of manual calculation Algorithms and Microsoft Excel data have the same value, namely high cluster 1 and low cluster 32, and entering Microsoft Excel calculations into rapidminer has the same value as well