Claim Missing Document
Check
Articles

Found 2 Documents
Search

LEVERAGING INITIAL CAPITAL AND INCOME THROUGH HR-DRIVEN INNOVATION: STRENGTHENING HUMAN RESOURCE MANAGEMENT EFFECTIVENESS IN MSMES Dinna Dewi, Almas Farah; Agustiyaningsih, Dea Nova; Handriyono; Fadah, Isti
Bisma: Jurnal Bisnis dan Manajemen Vol. 19 No. 1 (2025)
Publisher : Jurusan Manajemen Fakultas Ekonomi dan Bisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/bisma.v19i1.53706

Abstract

This study explores how initial capital, when strategically utilized through HR-driven innovation, enhances the effectiveness of human resource management (HRM) in Micro, Small, and Medium Enterprises (MSMEs). Drawing on data from 155 MSMEs and using multiple regression analysis, the findings reveal that both initial capital and HR-driven innovation significantly influence HRM effectiveness, particularly in areas such as talent development, employee motivation, and organizational adaptability. The interaction between initial capital and innovation indicates that financial readiness, when aligned with innovative HR practices, amplifies the capacity of MSMEs to manage and retain human capital effectively. Meanwhile, other variables such as age, number of dependents, working hours, business duration, monthly capital, monthly personal expenditure, education, marital status, and domicile showed no significant impact. These results underscore the importance of integrating financial strategy with human resource innovation to promote sustainable business growth.
Forecasting Indonesia’s Corn and Rice Production Using Box-Jenkins Approach: Implications for National Food Security Sudarwanto, Faisal; Agustiyaningsih, Dea Nova; Wahyudini, Alma Maynaura
Pattimura Proceeding 2026: Proceeding of the 3rd International Conference of International Conference on Business and Eco
Publisher : Pattimura University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/pcst.2026.iconbe.p225-245

Abstract

Ensuring reliable the production of staple food is precondition to achieve food security, especially on the challenge of climate change and voaltile demands. Forecasting the production of food crops is essential for fabricating effective policies to maintain national food security in Indonesia. This study aims to forecast corn and rice productions using the Box-Jenkins methodology as additional information for supporting the decision tools for food security planning. Competing models were evaluated using information criteria and forecast accuracy measures such as Mean Absolute Percentage Error (MAPE) and Root Mean Square Error (RMSE). The model specification used were: Corn production ARMA (2.0), while Rice production used SARIMA (0.1.4 )(0.1.1)12. This model generate the forecast of both commodities from late 2025 to 2027. The result of this study can be a consideration for policymakers in making policy on food security in Indonesia.