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The Effect of Total Quality Management (TQM) on Operational Performance in Garment Companies in Sukabumi Sabil; Utiarahman, Nurnaningsih; Ananto, Niel; Lumingkewas, Cherry Frame
The Eastasouth Management and Business Vol. 1 No. 03 (2023): The Eastasouth Management and Business (ESMB)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esmb.v1i03.80

Abstract

TQM has emerged as an important management principle for improving operational performance in several sectors. The purpose of this research is to see how the influence of the TQM method on the operational performance of a clothing company in Sukabumi, Indonesia. Employee surveys were used to gather information, and multiple regression analysis was used to examine the relationship between TQM procedures and operational performance. Findings indicate that all elements of operational performance, including productivity, quality, cost, delivery, and flexibility, improve significantly through employee empowerment, continuous quality improvement, and fact-based management. The findings of this study have important implications for garment companies in Sukabumi and other similar industries in Indonesia.
Integrasi XGBoost dan Visualisasi Gradio untuk Memprediksi Pendapatan Pembayar Asuransi: Studi Kasus Rumah Sakit Swasta di Manado Lumingkewas, Cherry; Mokodaser, Wilsen Grivin
Techno.Com Vol. 24 No. 2 (2025): Mei 2025
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/tc.v24i2.12633

Abstract

Prediksi pendapatan yang akurat sangat penting untuk menjaga keberlanjutan finansial, mengoptimalkan alokasi sumber daya, dan membantu perencanaan strategis rumah sakit. Untuk memprediksi pendapatan bulan Agustus, data historis pendapatan digunakan dari Januari hingga Juli 2022. Pra-pemrosesan data termasuk menangani nilai kosong atau nilai yang tidak ada, memilih fitur, dan membagi data menjadi set pelatihan dan pengujian. Metode utama untuk pelatihan model adalah algoritma XGBoost. Hasil evaluasi model diperoleh Mean Squared Error (MSE) dengan hasil 3.239, dan R-squared (R2) 0.99884, Metrik-metrik ini menunjukkan hasil prediksi yang sangat baik. Ditemukan bahwa data bulan Juni dan Juli memberikan kontribusi terbesar. Sistem dibangun dalam bentuk dashboard interaktif berbasis Gradio untuk meningkatkan aksesibilitas dan pemanfaatan hasil model. Oleh karena itu, manajemen rumah sakit dapat menggunakan solusi ini untuk membuat keputusan yang lebih tepat dan berbasis data. Secara keseluruhan, penelitian ini menunjukkan bahwa penggabungan pembelajaran mesin dan visualisasi interaktif dapat sangat bermanfaat dalam manajemen keuangan rumah sakit. Dengan kata lain, integrasi machine learning ke dalam sistem operasional membuka jalan bagi pengambilan keputusan yang lebih berbasis data (data-driven decision making) dan adaptif terhadap dinamika pasar.  Kata kunci – Xgboost, Pendapatan, Prediksi, Gradio
Digital Consumer Debt and Mental Well-Being in Generation Z: A Scoping Review Grace Fresania Kaparang; Cherry Lumingkewas; Shapely Ambalao
Economics and Digital Business Review Vol. 7 No. 2 (2026)
Publisher : STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/ecotal.v7i2.3883

Abstract

The rapid expansion of digital financial services, particularly Buy Now Pay Later (BNPL), online lending platforms, and e-commerce credit systems, has transformed consumption patterns among Generation Z. Although these services improve financial accessibility and transactional convenience, concerns have emerged regarding their psychological consequences, including anxiety, financial stress, compulsive buying behavior, and declining mental well-being. This scoping review aims to map existing evidence regarding the relationship between digital consumer debt and mental well-being among Generation Z consumers. This review employed the PRISMA Extension for Scoping Reviews (PRISMA-ScR) framework. Relevant articles published between 2019 and 2025 were identified from Google Scholar, Scopus-indexed journals, PubMed, and ScienceDirect using keywords related to BNPL, digital debt, fintech lending, Generation Z, and mental health. Inclusion criteria focused on empirical and review-based studies discussing digital borrowing behavior and psychological outcomes among young adults and Generation Z populations. A total of 15 eligible studies were analyzed. The findings indicate that digital consumer debt is consistently associated with elevated financial stress, anxiety symptoms, impulsive purchasing tendencies, emotional instability, and reduced financial well-being among Generation Z users. Several studies also highlight the role of financial literacy, self-control, and social media influence as moderating factors affecting borrowing behavior. Furthermore, easy accessibility and low perceived borrowing barriers contribute to debt normalization among younger consumers. The rapid expansion of fintech lending ecosystems therefore requires balanced approaches that simultaneously promote financial innovation, consumer accessibility, and psychological well-being protection. Without adequate financial literacy and responsible regulatory frameworks, the continued normalization of digital consumer debt may increase mental health vulnerabilities among younger generations in increasingly digitalized societies. This review concludes that while digital lending technologies provide short-term economic flexibility, excessive reliance on consumer debt may negatively influence mental well-being among Generation Z. Policymakers, educational institutions, and fintech providers should strengthen financial literacy initiatives and implement responsible lending regulations to minimize psychological risks associated with digital debt exposure.
IT Governance Maturity Assessment at PT PLN Suluttengo Using COBIT 2019 George M. W. Tangka; Cherry Lumingkewas; Erienika Lompoliu
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.811

Abstract

The rapid development of Information Technology (IT) has made IT governance essential for organizations to align business objectives, manage risks, and optimize resources. PT PLN (Persero) Unit Induk Wilayah Suluttenggo, a key player in electricity distribution in North Sulawesi, Gorontalo, and Central Sulawesi, requires a structured IT governance framework to ensure operational efficiency and compliance. This study evaluates the organization's IT governance maturity using the COBIT 2019 framework, focusing on its Design Factors and Governance Objectives. The research employs a structured methodology, starting with problem identification, a literature review, and the selection of relevant COBIT 2019 domains. Data collection is conducted through structured interviews using the COBIT 2019 Design Toolkit, analyzing ten key Design Factors, including Enterprise Strategy, Risk Profile, IT-related issues, and Compliance Requirements. The findings indicate that PT PLN prioritizes customer service, digital transformation, and regulatory compliance while facing challenges in IT risk management, project execution, and IT investment optimization. Through a detailed assessment of IT governance maturity, this study identifies key gaps and provides recommendations for improvement. Strengthening IT governance practices will enable PT PLN to enhance operational efficiency, mitigate IT-related risks, and align IT initiatives with corporate strategy. The study contributes to both academic research and practical applications by demonstrating the effectiveness of COBIT 2019 in IT governance evaluation.