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Journal : Luxury: Landscape of Business Administration

Knowledge, Expertise, and Experience on Employee Performance at PDAM Tirta Siak Pekanbaru City Andi; Jufrianto; Tanjung, Amries Rusli; Komardi, Dadi; Purnama, Intan
Luxury: Landscape of Business Administration Vol. 1 No. 2 (2023): Luxury: Landscape of Business Administration
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/luxury.v1i2.26

Abstract

The purpose of this study was to determine the effect of knowledge, expertise, and experience on employee performance. This research was conducted at PT. PDAM Tirta Siak Pekanbaru City. The population is the total number of employees at PT. PDAM Tirta Siak Pekanbaru City, namely 119 people. Then the sample in this study is the entire population in this study, amounting to 119 people. The technique of determining the sample using the census method. Data analysis using multiple linear regression. The results of the study explain that the knowledge variable, expertise variable, and experience variable have a positive and significant influence on employee performance variables at PDAM Tirta Siak Pekanbaru City.
Economic Feasibility of Nutrient-Rich Fertilizer Derived from Solid and Empty Fruit Bunches of Oil Palm Setyawan, Onny; Renaldo, Nicholas; Suhardjo, Suhardjo; Tendra, Gusrio; Veronica, Kristy; Junaedi, Achmad Tavip; Tanjung, Amries Rusli
Luxury: Landscape of Business Administration Vol. 3 No. 2 (2025): Luxury: Landscape of Business Administration
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/luxury.v3i2.126

Abstract

This study aims to evaluate the economic feasibility of producing nutrient-rich fertilizers from solid fruit bunches (FBs) and empty fruit bunches of oil palm, taking into account nutrient composition, production process, cost structure, and potential market opportunities. This study bridges the gap between agricultural science and business economics by combining nutrient analysis of oil palm solids and empty fruit bunches with a cost-benefit evaluation and market potential assessment. This study used a mixed-methods design that combined: (1) experimental laboratory analysis (nutrient profiles and processing trials); (2) process mass balance and cost accounting to develop a production cost model; and (3) market and financial analysis (surveys, price benchmarking, and financial valuation). This study shows that solid palm oil waste, specifically solid decanter cake and empty fruit bunches (jangkos), contains significant macro and micronutrients that can be converted into high-value products such as organic fertilizer and soil conditioner. Provide palm oil mills with a science-based business model to convert waste into value-added products.
Big Data Analytics for Demand Forecasting in the Mushroom Supply Chain Renaldo, Nicholas; Veronica, Kristy; Junaedi, Achmad Tavip; Suhardjo, Suhardjo; Tanjung, Amries Rusli; Indrastuti, Sri; Susanti, Wilda; Koto, Jaswar; Musa, Sulaiman; Wahid, Nabila
Luxury: Landscape of Business Administration Vol. 4 No. 1 (2026): Luxury: Landscape of Business Administration
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/luxury.v4i1.138

Abstract

The mushroom industry plays an increasingly important role in the agri-food sector due to rising demand for nutritious, functional, and sustainable food products. However, the mushroom supply chain faces significant challenges related to perishability, short shelf life, and demand uncertainty, which often result in inventory losses and inefficiencies. This study examines the role of big data analytics capability in enhancing demand forecasting accuracy and its impact on supply chain performance within the mushroom industry. Using a quantitative explanatory research design, data were collected through a structured questionnaire survey of mushroom supply chain actors, including producers, processors, distributors, and retailers. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results reveal that big data analytics capability has a significant positive effect on demand forecasting accuracy and supply chain performance. Furthermore, demand forecasting accuracy partially mediates the relationship between big data analytics capability and supply chain performance. These findings highlight the strategic importance of data-driven forecasting in managing demand uncertainty and improving operational efficiency in perishable agribusiness supply chains. This study contributes to the literature by extending big data analytics and demand forecasting research to the mushroom industry, providing both theoretical insights and practical implications for enhancing supply chain sustainability and competitiveness.
Co-Authors ', Istiqomatunnisa ', Rusli ', Supriono Achmad Tavip Junaedi Agneza, Putri Amalia, Annisa Nur Anak Agung Gede Sugianthara Andi Andi Andi Anton Anton Aprilia, Bord Nandre Augustine, Yvonne Azhari Sofyan Cecilia, Cecilia Dalil, M David David Dodi Sofyan Arief, Dodi Sofyan Eddy, Pujiono Edfan Darlis Eka Hariyani Eka Setiawati Enni Savitri Fitratul Aini, Fitratul Fitri Yani Fransisca, Luciana Gusrio Tendra Harry Patuan Panjaitan Herlin, Darsi Hutahuruk, Marice Br Indrastuti, Sri Jahrizal Jennifer Chandra Jufrianto karmila karmila Kharimah, Firda Komardi, Dadi Koto, Jaswar Layla Hafni Lili Sumarni, Lili Monalisa Monalisa Mudrika Alamsyah Hasan Muhammad Reza Rachaprima, Muhammad Reza Muhammad Rivai Musa, Sulaiman Nazmi, Fabelya Putri Nia Cristy, Nia Nicholas Renaldo Nicholas, Eric Noprial Valenra Maksyur, Noprial Valenra Novita Indrawati Nyoto Nyoto, Nyoto Nyoto, Rebeccca La Volla Onny Setyawan Prayetno, Muhammad Pringgo Pricyla, Cyndi Prihastomo, Arih Dwi Purnama, Intan Putri, Harmi Putri, Novita Yulia Putri, Yochi Lajobhi Rahman, Sarli Rahmiati Idrus Reilly, William Restu Agusti Rizaldi Putra Setyawan, Hari Sevendy, Tandy Sri Rahmayanty, Sri Sudarno Sudarno Sudirman Sudirman Suhardjo Suhardjo Suhardjo Suharti Susilatri Susilatri, Susilatri Syafriyanti, Liza Syahputra, Hidayat Teddy Chandra Teddy Haryadi Tjahjana, Dominicus Josephus Swanto Umar Faruq Utama, Reno Julia Veronica, Kristy Wahid, Nabila Wati, Yenny Wijaya, Evelyn Wilda Susanti Yonanda Oriza, Yonanda Yu, Hou Yusrizal Yusrizal Zabetha, Olinsca