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All Journal Journal of Economic, Bussines and Accounting (COSTING) eProceedings of Engineering
Pratama, Reyhan
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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RISK ASSESSMENT OF RATTAN MANUFACTURER AS BUSINESS IMPROVEMENT (CASE STUDY: CV. TROPICA RATTAN) Pratama, Reyhan; Rahadi, Raden Aswin
Journal of Economic, Bussines and Accounting (COSTING) Vol 7 No 6 (2024): COSTING : Journal of Economic, Bussines and Accounting
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/costing.v7i6.13653

Abstract

Indonesia's rattan industry, a major contributor to the Indonesian economy, faces significant challenges, such as fluctuating raw material supply, rising production costs, and competition from synthetic furniture products. CV Tropica Rattan, a mid-sized company in Cirebon, faces the challenges of declining export performance and limited innovation. This study applies a customized risk management framework to address operational and financial risks that may affect CV Tropica Rattan. Internal and external analysis was conducted using Business Model Canvas and PESTLE to identify possible risk factors. The Analytical Hierarchy Process was then used to prioritize the risks to implement mitigation strategies efficiently. Semi-structured interviews and focus group discussions provided qualitative insights, while secondary data was used to support contextual analysis. The results show that structured risk management can improve the company's resilience and competitiveness while providing a model that can be used for similar MSMEs in the rattan industry. This research contributes to understanding how tailored risk strategies can promote sustainable growth and operational efficiency in traditional manufacturing.
Sistem Rekomendasi Collaborative Filtering Pada Smartphone Menggunakan K-Means Pratama, Reyhan; Richasdy, Donni; Dharayani, Ramanti
eProceedings of Engineering Vol. 10 No. 5 (2023): Oktober 2023
Publisher : eProceedings of Engineering

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Abstract

Abstrak — Smartphone memenuhi kebutuhan user dengan menyediakan berbagai layanan komunikasi yang memungkinkan seperti transfer informasi dalam bentuk teks, grafik, suara, dan layanan Internet. Banyak dari masyarakat kebingungan untuk memilih dari banyak nya merk dan tipe yang beredar di pasar saat ini. Maka dari itu penelitian ini melakukan pemberian rekomendasi dengan perbandingan prediksi rating smartphone menggunakan metode K-Means dengan membandingkan tiga perhitungan similarity diantaranya Pearson, Pearson Baseline dan Cosine, dan penggunaan jumlah tetangga yang bervariatif. Dilakukan perbandingan tingkat kinerja antara skenario yang berbeda. Berdasarkan perhitungan dan analisis yang sudah dilakukan, didapatkan skenario antara penggunaan jumlah trainset 80% dan testset 20%, metode similarity Pearson Baseline, dan 90 jumlah tetangga menghasilkan nilai error terkecil dengan nilai RMSE 0.6599 yang merupakan skenario K-Means dengan kinerja paling tinggi dalam penelitian ini. Sedangkan skenario penggunaan jumlah trainset 70% dan testset 30%, metode similarity Pearson, dan 10 jumlah tetangga menghasilkan nilai error terbesar dengan nilai RMSE 0.7279 yang berarti skenario tersebut memiliki kinerja paling rendah.Kata Kunci— Smartphone, K-Means, User-based Collaborative Filtering, Similarity, RMSE.
Co-Authors Donni Richasdy Rahadi, Raden Aswin Ramanti Dharayani