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This study aims to analyze the quality control of white crystal sugar production at ABC Sugar Factory using the Statistical Quality Control (SQC) method. The research employed a descriptive quantitative approach with a case study design. The primary data consisted of production volume and defective product data during the 2024 production period, while supporting data were obtained through observation and interviews with the Quality Control department. The analytical tools applied included check sheets, histograms, Pareto diagrams, p control charts, and fishbone diagrams. The results show that from a total production of 190,745.89 tons, defective products amounted to 66.70 tons, representing 0.33 percent of total output. The identified defects consisted of wet sugar at 45 percent, brownish sugar color at 30 percent, and oversized sugar crystals at 25 percent. Defective products occurred only during the first to third production periods, while no defects were observed from the fourth to seventh periods. The p chart analysis indicates that the production process was statistically out of control in the early periods but became stable and controlled in the subsequent periods. From a managerial perspective, these findings provide practical guidance for improving manufacturing quality through enhanced process control, equipment maintenance, and workforce capability development.

This study aims to evaluate the performance of KSP Satria B Cilongok using the Malcolm Baldrige Framework for Performance Excellence. The research employed a qualitative descriptive approach with data collected through direct observation and in-depth interviews with the cooperative’s leadership on May 4, 2025. Analysis was conducted based on seven categories within the Malcolm Baldrige Excellence Framework. Findings indicate that KSP Satria B Cilongok has implemented visionary leadership, customer-focused service, data-driven management, and effective risk and workforce management. The cooperative’s performance continues to improve, demonstrated by stable growth in members, net income (SHU), and transaction volume. Furthermore, adherence to organizational ethics and transparency has been a key factor in building member trust. This study contributes by integrating the Malcolm Baldrige principles into the management of small to medium-sized savings and loan cooperatives in Indonesia, presenting a novel application of the framework in the local context

Artificial Intelligence (AI) has become an essential tool in the world of management for decision-making. This article examines the ways in which AI can be used to improve the quality and speed of decision-making, and how AI can improve the operational efficiency of companies. In addition, this article also examines the challenges and opportunities that companies face in adopting AI.In the rapidly evolving digital era, AI has become an essential component of modern business strategies. Today's managers are often faced with the challenge of analyzing very large and complex volumes of data. To make good and timely decisions, AI offers a potential solution with fast and precise data analysis capabilities.The use of AI in decision-making involves machine learning algorithms and models to efficiently process and analyze large amounts of data. This helps managers gain deeper and more accurate insights, enabling more effective decision-making.

Marketing mix adalah strategi pemasaran produk yang digunakan bisnis untuk bersaing dalam dunia bisnis yang kompetitif. Tujuan penelitian ini adalah meningkatkan pengetahuan dan keterampilan strategi pemasaran yang tepat sehingga dapat meningkatkan omset dan laba penjualan produk toreko. Untuk mencapai tujuan tersebut harus mengadopsi dan memperkuat kebijakan di empat bidang yang terkait dengan pengaruh strategi bauran pemasaran (Marketing Mix) terhadap efektivitas volume penjualan pada usaha toreko ini

Terminal merupakan salah satu komponen dari sistem transportasi yang mempunyai fungsi utama sebagai tempat pemberhentian sementara kendaraan umum untuk menaikkan dan menurunkan penumpang dan barang hingga sampai ke tujuan akhir suatu perjalanan. Penelitian ini bertujuan untuk mengetahui pengaruh fasilitas terminal, volume kendaraan penumpang, dan lokasi terminal dengan kinerja operasional terminal Ir. Soekarno Kab. Klaten. Populasi pada penelitian ini semua masyarakat yang menggunakan terminal Ir. Soekarno Kab. Klaten dan sampel sebanyak 100 responden. Dengan teknik non-probability sampling, jenis sampling kuota. Pengumpulan data menggunakan kuesioner, dan metode analisis yang digunakan adalah analisis regresi linier berganda. Dari hasil penelitian ini dapat diketahui bahwa model persamaan linier berganda : Y   =  -0,331  +  0,538X1  +  0,222X2  +  0,245X3  +  µ menunjukkan bahwa ada pengaruh positif secara parsial Fasilitas Terminal (X1), Volume Kendaraan Penumpang (X2), dan Lokasi Terminal (X3) terhadap Kinerja Operasional Terminal (Y). pengaruh variabel independen dalam penelitian ini nilai korelasi koefisien determinasi (adjuster R2) sebesar = 0,607, yang artinya 60,7% variasi variabel terikat kinerja operasional terminal dapat dijelaskan oleh variabel fasiliitas terminal, volume kendaraan penumpamg, dan lokasi terminal. Sedangkan sisanya yaitu 39,3%, dijelaskan oleh sebab-sebab yang lain diluar variabel yang diteliti. Kata Kunci : Fasilitas Terminal, Volume Kendaraan, Lokasi Terminal, dan Kinerja Operasional Terminal.