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IMPLEMENTASI DATA MINING DALAM PREDIKSI TARGET PRODUKSI PADA PROSES KERJA MESIN MOLDING MENGGUNAKAN ALGORITMA LINEAR REGRESSION (STUDI KASUS : PT. AIM KARAWANG) Marjo; Sumantri, Erno
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 3 (2023): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i3.397

Abstract

Production is a process activity from input to produce an output. In the process of working good production will produce good quality products and in large quantities, this is due to a lack of products that are wasted due to production defects (NG products). In the world of industrial production will run simultaneously with a target. A target is a measure of the number of achievements in a certain period of time. The company will make continuous improvements for the smooth running of production and the achievement of production targets. This is because the more products produced, the turnover obtained will also be higher. The purpose of this research is to optimize production targets in the molding machine work process at PT. AIM Karawang. Where the products produced are o rings and rubber products by processing the material in the form of rubber. The method used in this study is the data mining linear regression algorithm. The reason for using this algorithm is because it is the most suitable for the existing conditions, so the daily data report some time ago is used as a reference for determining future target achievement.
Revamping Partnership Agreements to Empower Micro, Small, and Medium Enterprises in the Processed Marine Fish Food Industry Badriyah, Siti Malikhatun; R. Suharto; Retno Saraswati; Marjo
Lentera Hukum Vol. 12 No. 2 (2025): LENTERA HUKUM
Publisher : University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/ejlh.v12i2.48815

Abstract

Due to its abundant resources, Indonesia holds significant potential for developing its processed food industry using marine fish as a raw material. Micro, Small, and Medium Enterprises (MSMEs) are central to this sector. However, these enterprises need more capital, knowledge, technology, and marketing, distribution, and licensing. Therefore, collaboration with larger business entities through partnership systems is crucial. Currently, the legal relationships within these partnerships are based on agreements, but specific regulations often lead to imbalanced relationships between the parties involved. This research emphasizes the need to reconstruct regulations on partnership agreements to foster MSME development in the processed food industry. The government should conduct comprehensive socialization in collaboration with various stakeholders, including business actors, community leaders, and academics, to educate MSMEs and large business actors about the importance of business partnerships and their legal aspects. The legislative body should also formulate specific regulations to provide balanced legal protection for all parties involved.Keywords: MSMEs, Processed Food, Business Partnership, Agreement, Regulation.