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All Journal Jurnal Pengembangan Riset dan Observasi Teknik Informatika Manajemen Kreatif Jurnal
Riska Susilawati
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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KLASIFIKASI CALON NASABAH PEMBIAYAAN PADA PT SINAR MITRA SEPADAN FINANCE MENGGUNAKAN ALGORITMA C4.5 Agung Triayudi; Riska Susilawati
ProTekInfo(Pengembangan Riset dan Observasi Teknik Informatika) Vol. 2 (2015)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (288.304 KB) | DOI: 10.30656/protekinfo.v2i0.50

Abstract

Penelitian ini memberikan satu model penentuan kelayakan pemberian fasilitas pembiayaan. Kendala yang sering ditemukan dalam proses pembiayaan di sebuah perusahaan yaitu sulitnya menentukan nasabah mana yang termasuk kedalam kelompok lancar dan tidak lancar. Oleh karena itu diperlukan suatu aplikasi yang membantu perusahaan dalam proses pengklasifikasian nasabah. Untuk menentukan calon nasabah mana yang termasuk kelompok lancar dan tidak lancar. Data dalam penelitian ini diambil dari perusahaan PT. Sinar Mitra Sepadan Finance Cabang Pandeglang dalam jumlah yang cukup banyakproses ini bisa disebut sebagai data mining. Dalam penelitian ini untuk menganalisa data digunakan teknik decision tree dengan memanfaatkan algoritma C4.5. Dalam perancangan aplikasi menggunakan diagram konek, DFD, dan penyajian aplikasi menggunakan Borland Delphi 7 serta database Xampp. Hasil yang di capai adalah sebuah Aplikasi Algoritma C4.5 UntukPengklasifikasian Calon Nasabah yang Implementasinya dapat membantu bagian Data Enty dalam penyeleksian dan penerimaan calon nasabah.
Analisis Kualitas Packaging Produk Terhadap Preferensi Dan Kesesuaian Produk Mie Instan Novia Anggelina; Riska Susilawati; Syamsul Hidayat
Manajemen Kreatif Jurnal Vol. 3 No. 2 (2025): Mei: Manajemen Kreatif Jurnal
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/makreju.v2i1.2749

Abstract

Instant noodles, categorized as part of ready-to-eat cuisine, represent a form of food that is conveniently packaged, easily served, practical, and prepared in a straightforward manner. Despite their convenience, instant noodles fall short of being considered a comprehensive food option due to their inability to fulfill the body's well-rounded nutritional requirements. A typical serving of instant noodles primarily consists of elevated levels of carbohydrates and protein, yet lacks sufficient energy, fiber, vitamins, and minerals. The consumption of instant noodles is driven by the time constraints faced by a majority of consumers, preventing them from indulging in a complete meal and preparing it from scratch. Regularly consuming instant noodles may pose health risks and hazards, given their inclusion of preservatives and low nutritional content. This study employs quantitative research methods, adhering to scientific principles by being concrete, empirical, objective, measurable, rational, and systematic. Quantitative approaches prioritize the analysis of numerical data, subsequently processed through suitable statistical methods. In conclusion, the statistical analysis conducted reveals that both preference (X1) and suitability (X2) jointly exert a significant impact on packaging quality (Y) within the scope of this research. However, it is crucial to note that 51.1% of the variation in Y remains unexplained by these two independent variables, suggesting that other factors may also contribute to determining the quality of packaging.
Co-Authors Agung Triayudi Novia Anggelina Syamsul Hidayat