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Analysis of the Implementation of Total Productive Maintenance (TPM) at Madam Souvenir Purba, Angel Theresia; Utami, Mulia; Lubis, Rahma Safitri; Gultom, Pesta
Economic: Journal Economic and Business Vol. 4 No. 1 (2025): ECONOMIC: Journal Economic and Business
Publisher : Lembaga Riset Mutiara Akbar (LARISMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56495/ejeb.v4i1.871

Abstract

This research aims to analyze the implementation of Total Productive Maintenance (TPM) at the Madam Souvenir Bakery in order to increase the effectiveness of production machines. The method used is Overall Equipment Effectiveness (OEE) measurement to assess machine performance based on three factors: availability, performance and quality. The OEE calculation results show a value of 72.2%, which is below the ideal standard of 85%. In-depth analysis identified "speed losses" as the main factor influencing the decline in machine effectiveness. To overcome this problem, several recommendations were implemented, including independent maintenance by the operator and a regular maintenance schedule (planned maintenance). The implementation of TPM has proven to be effective in minimizing losses due to downtime and improving product quality. It is hoped that the results of this research can help Madam Souvenir Bakery achieve production targets more efficiently.
Penerapan Forecasting terhadap Inovasi Bisnis Berkelanjutan Berbasis Green Entrepreneur di Kota Medan Purba, Angel Theresia; Utami, Mulia; Yusri, Muhammad; Nainggolan, Susan Grace
Jurnal Pendidikan Tambusai Vol. 9 No. 2 (2025): Agustus
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jptam.v9i2.30597

Abstract

Penelitian ini bertujuan menerapkan metode forecasting untuk mendukung inovasi bisnis berkelanjutan berbasis green entrepreneur di Kota Medan. Objek penelitian adalah usaha rumahan Growli yang memproduksi kompos cair organik dari limbah dapur. Permasalahan utama meliputi fluktuasi bahan baku, ketidaksesuaian antara permintaan dan persediaan, serta keterbatasan daya simpan produk. Peramalan penjualan dilakukan dengan metode regresi linear sederhana berdasarkan data Januari–Juni 2025. Hasil analisis menunjukkan model memiliki akurasi tinggi dengan MAD sebesar 3,79, MSE 17,90, dan MAPE 5,10%. Penjualan Juli 2025 diproyeksikan sebesar 94,80 liter. Temuan ini menunjukkan bahwa forecasting efektif dalam mengoptimalkan produksi, mengurangi pemborosan, dan mendukung keberlanjutan usaha sesuai prinsip green entrepreneurship.