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All Journal KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) JURIKOM (Jurnal Riset Komputer)
Dinda Nabila Batubara
STIKOM Tunas Bangsa, Pematangsiantar
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Analisis Metode VIKOR Pada Pemilihan Sabun Cuci Tangan Terbaik Berdasarkan Konsumen Dinda Nabila Batubara; Agus Perdana Windarto; Anjar Wanto; Dedy Hartama; Irfan Sudahri Damanik
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 4, No 1 (2020): The Liberty of Thinking and Innovation
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v4i1.2586

Abstract

In a pandemic like this, hand washing soap has an important role in accompanying the daily activities of the community that cannot be separated from health protocols. Therefore, there are many kinds of hand washing soap in circulation. The many brands and variants of hand washing soap make it difficult for consumers to choose the right hand washing soap for them to use. The source of this research data was obtained by conducting interviews and giving random questionnaires to the community of 100 respondents in Pematangsiantar city. Based on the results of interviews and questionnaires, there were 5 assessment criteria for hand washing soap products, namely price (C1), how to obtain (C2), composition / content (C3), aroma (C4), and packaging (C5) and 6 alternatives used.including lifebuoy (A1), Dettol (A2), Sleek (A3), Sanitary (A4), Nuvo (A5), Carex (A6). This study uses a decision support system with the VIKOR method. The results of the study indicate that A2 = Dettol with a VIKOR value of 1.047 is an alternative that suits consumer needs. It is expected that the results of this study can provide information and help consumers in determining the right product.Keywords: SPK, VIKOR, Hand Washing Soap, Consumer, Selection
Analisis Prediksi Keterlambatan Pembayaran Listrik Menggunakan Komparasi Metode Klasifikasi Decision Tree dan Support Vector Machine Dinda Nabila Batubara; Agus Perdana Windarto; Eka Irawan
JURIKOM (Jurnal Riset Komputer) Vol 9, No 1 (2022): Februari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i1.3833

Abstract

Electrical energy is one of the most needed energy today. In this modern era, almost all human activities cannot be separated from the use of electricity. The only electricity supply company in Indonesia is the State Electricity Company or PT. PLN (Persero). PLN also has several obstacles. One of them is the very large amount of arrears to customers. This causes considerable losses for PLN. The electricity payment counter also experienced the same thing as experienced by PLN, as at PT Jaya Nuhgra Pratama. For this reason, this research was conducted by comparing two methods in the classification, namely decision tree and support vector machine to find out which method is the best in solving problems and to find out the factors that are the main causes of delays in electricity payments
Co-Authors Agus Perdana Windarto Dedy Hartama Eka Irawan Irfan Sudahri Damanik Wanto, Anjar