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Techno-Economic Analysis of Supplier and Shipping Service Selection to Reduce Cost of Goods Sold (Study Case SME XYZ) Sakti, Arga Seta Asmara
Management Studies and Entrepreneurship Journal (MSEJ) Vol. 5 No. 2 (2024): Management Studies and Entrepreneurship Journal (MSEJ)
Publisher : Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/msej.v5i2.5483

Abstract

Indonesia's creative industry, primarily craft, fashion, and culinary, contributes to the country's GDP by 15% annually, with projections estimating it to reach IDR 1,100 trillion by 2020. This growth intensifies industry competition, prompting business owners to compete vigorously to boost sales. SME XYZ wants to implement a cost leadership strategy; businesses must reduce costs, especially in logistics distribution, by reducing operational costs. This study examines the techno-economic analysis of supplier and shipping service selection to reduce the Cost of Goods Sold (COGS) for SME XYZ, a company operating in Indonesia's competitive fashion industry. The research highlights the significant contribution of the creative industry to Indonesia's GDP and the critical role of logistics in maintaining competitive pricing. By employing Total Cost Analysis (TCA), the study evaluates various supplier and transportation combinations, focusing on reducing operational costs while enhancing supply chain efficiency. Field studies and literature reviews provided data on suppliers from Bandung, Jogja, and Malang and logistics services, including JTR, Baraka, and Adex. Results indicate that the optimal combination—Supplier A (Bandung) and Expedition B (Baraka)—reduces COGS from IDR 105.200 to IDR 98.200. The findings offer SME XYZ strategic insights for implementing a cost leadership strategy, ensuring improved operational efficiency and competitive market positioning.
Listening to Student Voices: Aspect-Based Sentiment Analysis of Academic Services Using BERT Setiawan, Purwo; Sakti, Arga Seta Asmara; Ramadhani, Dinda Safitri
JUMANTARA: Jurnal Manajemen dan Teknologi Rekayasa Vol 4, No 2 (2025): Juli
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/jumantara.v4i2.3043

Abstract

The inability to systematically process large volumes of unstructured student feedback hinders the enhancement of academic service quality in higher education. To address this challenge, this study develops an Aspect-Based Sentiment Analysis (ABSA) model using a fine-tuned BERT architecture. applied to 1,110 student reviews at Universitas Muhammadiyah Surakarta. The model was trained and evaluated using a dataset of 1,110 student reviews, filtered from an initial dataset of over 40,000 raw data points. To assess its performance, standard metrics such as accuracy, precision, recall, and F1-score were employed. The model demonstrated high performance, achieving an overall accuracy of 98.6% and an F1-score of 0.92 for identifying service aspect terms. The analysis successfully extracted key aspects, including staff interaction, administrative processes, and service efficiency. Critically, it revealed that staff interaction was the aspect with the most significant negative sentiment, providing a clear target for institutional improvement. This research confirms that the BERT-based ABSA model is a reliable and scalable tool for transforming qualitative student feedback into actionable, data-driven insights, enabling targeted enhancements to academic service quality.