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Investment Knowledge and Income on Investment Decisions of the Boyolali Community Laras Wulandari; Wikan Budi Utami; Iin Emy Prastiwi; Budiarso; Merliana Dewi Astuti
Proceeding of the International Conference on Management, Entrepreneurship, and Business Vol. 1 No. 2 (2024): December : Proceeding of the International Conference on Management, Entreprene
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/icmeb.v1i2.103

Abstract

Investment is an important thing in today's era. Many things influence investment decisions including knowledge about investment itself and a person's income. This study aims to determine the effect of Investment Knowledge and Income on Investment Decisions of the Boyolali Community. This study is a quantitative study. using multiple linear regression analysis, through the swimmer test, validity test, reliability test, classical assumption test and F test. The population in this study were residents of Boyolali, Central Java. The sample of this study was 60 samples. The results of this study indicate that investment knowledge and income both have a partial effect on investment decisions.
Comparative performance of submerged and non-submerged pico-Scale crossflow water turbine Alifarsya Ihsan Maulana; Warjito; Budiarso
Prosiding SNTTM Vol 23 No 1 (2025): SNTTM XXIII October 2025
Publisher : BKS-TM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71452/d1gjke23

Abstract

Indonesia’s abundant renewable energy potential. has driven the nation to shift toward clean energy, including small-scale hydropower systems like picohydro. With capacities under 5 kW, picohydro systems are ideal for remote areas due to their simplicity and low operational costs. Crossflow turbines are commonly used for their efficiency under low-head and fluctuating-flow conditions. This study compares turbine performance under three submergence conditions: unsubmerged, partially submerged, and fully submerged. Two methods were employed: analytical calculations (based on velocity triangles to determine speed, torque, and efficiency) and numerical simulations using CFD software ANSYS Fluent. The turbine geometry was modeled in Autodesk Inventor, with a focus on key performance parameters such as torque, power output, and efficiency. Results show that submergence level significantly affects turbine performance. The unsubmerged condition yielded the highest efficiency and power output, as the nozzle flow enters without downstream fluid resistance, allowing optimal energy transfer to the blades. In contrast, partial and full submergence introduced backpressure zones, air pockets, and vortices that increased drag and reduced net torque. Although absolute torque tended to rise due to greater fluid interaction, the RPM decreased, and energy losses increased, resulting in reduced overall power and efficiency.