This study aims to analyze, investigate the implications, and identify differences in the progress of the effect of institutional changes and organizational transformation in Indonesian higher education. The structuration analysis shows that examining the conditions that have resulted in the replication and modification of social systems is the focus of the structuration analysis. The image of structuration theory conveys both a sense of regularity and continuity, as well as respect for the labor that must be done daily and the mundane but essential tasks that must be completed. The finding of this study is that with the mandate that universities have been given to implement the three primary pillars that support Indonesia’s higher education system, the difficulty level of the problem facing Indonesia’s higher education system has increased. We suggest a future research agenda and highlight the changes and transformations in power, interests, and alliances that affect the evolution of higher education institutions.

This research aims to determine the strategy of the Jakarta Provincial Government in increasing the resilience and growth of small and medium enterprises (SMEs) within a collaborative governance framework post-COVID-19. This study explores the effectiveness of SMEs and facilities in accessing financing and fostering collaborative partnerships between SMEs, government agencies, and financial institutions by utilizing USAID’s Theory of Change (TOC). This research uses a qualitative approach supported by in-depth interviews and Focus Group Discussions to enrich the insights of SME stakeholders, large companies, and SME actors and assess the impact of their roles. The results of this research highlight the critical role of SME Cooperative Banks (SCB) in improving SMEs’ access to credit and financial services, including collaborative governance frameworks and partnerships between SMEs, government agencies, and banks, which were identified as necessary to improve policy coherence and encourage conducive SME business environment conditions. The main findings of this research underscore the importance of the SCB model, demonstrating its potential to improve SME resilience and economic sustainability. This SCB model enriches the TOC indicators introduced by USAID. The study identifies gaps in digital infrastructure and market access that hinder SME growth and recommends targeted interventions to address these challenges. This study shows that SCB offers a promising pathway to increase the resilience and growth of SMEs in Indonesia, especially if accompanied by effective collaborative governance strategies. These initiatives can encourage inclusive economic development and strengthen the role of SMEs as drivers of the local economy. Recommendations include expanding the SCB model to other regions, encouraging digitalization, facilitating market access, advocating for a supportive policy framework, and integrating these strategies to advance the principles of USAID’s Theory of Change, fostering sustainable SME development and economic resilience.

This paper provides a comprehensive review of SURF (speeded up robust features) feature descriptor, commonly used technique for image feature extraction. The SURF algorithm has obtained significant popularity because to its robustness, efficiency, and invariance to various image transformations. In this paper, an in-depth analysis of the underlying principles of SURF, its key components, and its use in computer vision tasks such as object recognition, image matching, and 3D reconstruction are proposed. Furthermore, we discuss recent advancements and variations of the SURF algorithm and compare it with other popular feature descriptors. Through this review, the aim is to provide a clear understanding of the SURF feature descriptor and its significance in the area of computer vision.

Catfish (Pangasianodon hypothalamus) are known in Asia, specifically in Southeast Asia. Currently, this fish has been exported to almost all countries in the world. This research aimed to examine the existing conditions of the solid waste produced, analyze the chemical composition of the waste, and look for alternatives for the policy and economical use of waste in the catfish processing business. Using the survey method, data were gathered through measurement at the research location and laboratory, interviews with business owners, and field observations. Proximate analysis was conducted on pink slime meat, belly fat, bones, and fish innards. Analysis of acid number, saponification number, iodine number, and fat fatty acid was carried out on stomach fat. Meanwhile, amino acid analysis was carried out for pink slime meat. Handling catfish industrial waste has yet to be carried out properly, which causes a foul smell and disturbs the environment. The catfish industry waste’s chemical content (protein, fat, water content, carbohydrates, and fatty acids) (pink slime meat, belly fat, fish bones, and innards) is still relatively applicable. The study processed fish waste into products like instant porridge, analogous fish sago rice, and fish sago noodles. The proximate analysis results of these products show figures that exceed the minimum standards for similar products.

Introduction: Food well-being of the population is one of the priorities of the Togolese government, which relies on the agricultural investment and food security Programme to increase national food production. In addition, the country relies on food imports to make up the shortfall. At the same time undernourishment and malnutrition remain high among the country’s population. This research analyzes food supply and its implications for household consumption in Grand Lomé, Togo. [Methods] The methodology used documents, a survey of 963 heads of household randomly sampled households and semi-structured interviews with 10 households and with Togolese food safety agency (ANSAT). Quantitative data were processed and analyzed using Excel spreadsheets R and R-Studio, while content analysis was applied to the verbal applied to the verbal statements collected. Results: Firstly, the results show that domestic agricultural production contributed an average of 91% of food supply between 2014–2017. The deficit is made up by food imports, which rose from 13.5% in 2014 to 15.4% in 2017. This translated into an acceptable food energy consumption of 2337 Kcal/head/day in 2017. Secondly, 81% of respondents recognize a strong food presence at consumer markets, except that the chi-square test applied to the data at the 5% threshold shows (p-value < 2.2 × 10⁻¹⁶), indicates that this satisfaction is a function of place of residence. Despite this, persistent shortages affect more staple crops, livestock and dairy products, leading households to deprive themselves and buy food at affordable prices. Finally, we observe non-diversified diets marked by regular consumption of “cereals/legumes”, vegetables and beverages to the detriment of “tubers/roots”, “meat/fish”, “fruit” and “dairy products”. Conclusion: This research shows that food supply, although adequate, is not sufficient to ensure balanced, nutritious and culturally appropriate food consumption by urban households. Recommendations: To meet these challenges, the central government, in collaboration with urban communes and consumer advocates, must mobilize resources to create urban agricultural farms, strengthen food protection systems, distribute staple products directly to households and limit the importation of food that is hazardous to health.