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All Journal Brahmana : Jurnal Penerapan Kecerdasan Buatan Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
P Poningsih
AMIK Tunas Bangsa, Pematangsiantar, Sumatera Utara, Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering

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Analisa Tingkat Kepuasan Masyarakat Terhadap Pelayanan Pengadilan Agama Pematangsiantar Menggunakan Algoritma C4.5 Eka Satria Pribadi; P Poningsih; Heru Satria Tambunan
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.v2i1.46

Abstract

The purpose of this study was to determine how much the level of community satisfaction with services in the Pematangsiantar Religious Court. In this study, researchers used the data mining technique C.45 algorithm. The source of research data used is by giving questionnaires to the community. In this case the researchers used the assessment attributes, among others: Service, ability, behavior, cost, and infrastructure. In this study the alternative used as a sample is Pematangsiantar City Community. the results of this study will become input for the Pematangsiantar Religious Court to provide the best possible service so that the community is satisfied with the service.
Prediksi Kunjungan Wisatawan Mancanegara Ke Indonesia Menggunakan Jaringan Saraf Tiruan Dengan Algoritma Backpropagation Opriyani Armaya Putri; P Poningsih; Heru Satria Tambunan
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 2, No 1 (2021): Edisi Januari
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v2i1.51

Abstract

This study aims to see the development of the number of foreign tourist arrivals in the following year. With these predictions, it is expected to be able to assist the government in making policies related to foreign tourists in accordance with their home regions. Sources of data obtained from the Central Statistics Agency. In this study, researchers used the Backpropagation Algorithm. Backpropagation Algorithm is an algorithm that serves to reduce the error rate by adjusting the weight based on the desired output and target. From the test results of foreign tourist visit data obtained in 1-4-1 architecture which shows the target is reduced by the output that SSE 1.03218 which shows that there is an increase in the number of visits as a target. From the data obtained, that the performance calculation of artificial neural networks with Backpropagation Algorithm is 83.3This research contributes to the government and the community to further increase the provision of facilities, infrastructure, infrastructure, transportation and accommodation in order to get a satisfying predicate to improve the quality of the world market.
Co-Authors Eka Satria Pribadi Heru Satria Tambunan Opriyani Armaya Putri