Kampar Regency, as the largest pineapple producer in Riau Province, has yet to provide significant added value for the surrounding SMEs. The limitations in technology and innovation, infrastructure support, and market access have prevented this potential from being optimally utilized. A Technopark can provide the necessary facilities and infrastructure to enhance production efficiency, innovation, and product quality, thus driving local economic growth. The objective of this study is to identify and determine potential locations for the development of a pineapple-based Technopark in Kampar Regency. This study is crucial as a fundamental consideration in selecting the technopark location and assessing the effectiveness and success of the technopark area. The method used in this study is AHP-GIS to analyze relevant parameters in the site selection process for the technopark area. Parameters considered in this study include slope, land use, availability of raw materials, accessibility of roads, access to water resources, proximity to universities, market access, population density, and landfill. The analysis results indicate that the percentage of land highly suitable for the technopark location is 0.78%, covering an area of 8943 hectares. Based on the analysis, it is recommended that potential locations for the development of a pineapple SMEs-based technopark in Kampar Regency are dispersed in Tambang District, encompassing three villages: Rimbo Panjang, Kualu Nenas and Tarai Bangun. The findings of this study align with the spatial planning of Kampar Regency.

This study analyzes the potential of making Uzbekistan’s taxation system more inclusive by introducing a tax incentive policy related to zakat (obligatory Islamic alms for the wealthy). Additionally, it explores the establishment of relevant institutions to facilitate zakat collection and distribution. The study employs the method of comparative legal research, combined with exploratory research techniques, to examine taxation and zakat systems in different countries. The study’s findings indicate that incorporating zakat incentives, either in the form of tax credits or deductions, into Uzbekistan’s taxation system can enhance the role of zakat institutions in the country’s economy and reduce tax evasion to some extent. Moreover, it proposes a preliminary model of zakat management for Uzbekistan based on conclusions of the comparative study of various countries and analysis of the national legislation. Finally, the research highlights the necessity of a systematic approach to educate the public about zakat obligations, which is crucial for operation of proposed zakat management model and improving compliance. The study provides essential policy recommendations, including the implementation of zakat tax incentives, enhancing public zakat literacy, and ensuring the efficient operation of zakat institutions. By adopting these measures, the government of Uzbekistan can foster a more equitable and effective taxation system, contributing to socioeconomic development and poverty alleviation.

This paper is the third in a series focused on bridging the gap between secondary and higher education. Our primary objective is to develop a robust theoretical framework for an innovative e-business model called the Undergraduate Study Programme Search System (USPSS). This system considers multiple criteria to reduce the likelihood of exam failure or the need for multiple retakes, while maximizing the chances of successful program completion. Testing of the proposed algorithm demonstrated that the Stochastic Gradient Boosted Regression Trees method outperforms the current method used in Lithuania for admitting applicants to 47 educational programs. Specifically, it is more accurate than the Probabilistic Neural Network for 25 programs, the Ensemble of Regression Trees for 24 programs, the Single Regression Tree for 18 programs, the Random Forest Regression for 16 programs, the Bayesian Additive Regression Trees for 13 programs, and the Regression by Discretization for 10 programs.