Quantum Convolutional Neural Networks (QCNNs) have emerged as one of the most promising architectures in Quantum Machine Learning (QML), enabling hierarchical quantum feature extraction and offering potential advantages over classical CNNs in expressivity and scalability. This study presents a Systematic Literature Review (SLR) on QCNN development from 2019 to 2025, covering theoretical foundations, model architectures, noise resilience, benchmark performance, and applications in materials informatics, chemistry, image recognition, quantum phase classification, and cybersecurity. The SLR followed PRISMA guidelines, screening 214 publications and selecting 47 primary studies. The review finds that QCNNs consistently outperform classical baselines in small-data and high-dimensional regimes due to quantum feature maps and entanglement-driven locality. Significant limitations include noise sensitivity, limited qubit availability, and a lack of standardized datasets for benchmarking. The novelty of this work lies in providing the first comprehensive synthesis of QCNN research across theory, simulations, and real-hardware deployment, offering a roadmap for research gaps and future directions. The findings confirm that QCNNs are strong candidates for NISQ-era applications, especially in physics-informed learning.

This study focuses on the design and implementation of an electrical system for a bread dough proofer tool, specifically optimized for donut dough fermentation, utilizing a microcontroller with Proportional-Integral-Derivative (PID) control. The proofing process is crucial for dough quality, and maintaining precise temperature and humidity conditions is essential for consistent results. The PID control algorithm continuously calculates the error between desired setpoints and measured process variables, adjusting actuator outputs to minimize this error. The PID parameters were tuned using a trial-and-error method to achieve optimal response speed and stability, with values of , , and . Experimental results demonstrate the system’s effectiveness in stabilizing the proofing environment. The temperature was maintained at 40.10  with a minimal overshoot of 0.30  and a rise time of 10.25 minutes. Humidity was regulated within the range of 80-90% RH for 38.4 minutes, with a rise time of 40.41 minutes. The system exhibited robust disturbance rejection, quickly recovering from external perturbations. Compared to manual proofing, the automated system reduced proofing time by approximately 25% and significantly improved donut dough quality, evidenced by enhanced volume expansion and uniform texture.
 
Keywords - Bread Dough Proofer, PID Control, Microcontroller, Temperature and Humidity Control, Automated Proofing System

This study aims to determine the effect of profitability, liquidity, and leverage on the value of manufacturing companies in the food and beverage sub-sector of the goods and consumer industry listed on the IDX in 2022-2024. This study uses a descriptive research type with a quantitative approach. The population of this study includes 66 food and beverage sub-sector manufacturing companies listed on the IDX for the 2022-2024 period. The sampling technique used is the purposive sampling method for 20 companies. The data source for this study uses secondary data. The data collection method was obtained from the Indonesian Stock Exchange (IDX). This study uses data analysis methods, namely descriptive statistical tests, classical assumption tests, and hypothesis testing, including multiple linear regression analysis, F tests, t tests, and coefficients of determination R Square. The results of this study indicate that profitability and liquidity have a significant positive effect, while leverage has a significant negative effect.

This activity is a workshop that aims to provide insight and skills to the guardians of Kasih Bunda Kindergarten students regarding parenting strategies related to financial management and the importance of children's mental health. This activity discusses how to teach the value of money and financial management to children with educational and fun methods. The workshop was also accompanied by an interactive question and answer session, distribution of Supplementary Food (PMT) for children, and a group photo session as a symbol of togetherness. This activity has a positive impact in the form of increasing parents' knowledge about children's financial management, strengthening the relationship between guardians and schools, and supporting children's physical and mental growth and development.This study aims to determine the effect of price and product quality on purchase intention of Toyota Agya cars in Tuban City.

We introduce the Tree Tensor Network-enhanced Quantum-Classical Neural Network (TTN-QNet), a hybrid architecture that leverages the hierarchical structure of Tree Tensor Networks for efficient parameter representation and Variational Quantum Circuits (VQC) for expressive modeling. Unlike Tensor Ring Networks, TTNs reduce parameter redundancy through a tree-based topology, enabling scalable and interpretable computation. The proposed TTN-QNet is evaluated on the Iris, MNIST, and CIFAR-10 datasets, achieving classification accuracies of 93.2%, 85.24%, and 81.67%, respectively, on binary classification tasks. TTN-QNet demonstrates rapid convergence and robustness against barren plateaus, offering a promising direction for deep quantum learning.

This research aims to digitize the BOSP Financial Report of SMA Negeri 1 Yogyakarta through the School Financial Management Information System website. This is motivated by the condition of the SPJ administration which is still processed semi-manually, the wrong nominal input into the bank deposit receipt which results in failed transfers, and incorrect tax transfers (over/underpayment of taxes). The method used is qualitative with data collection techniques through observation, interviews, and documentation. Research procedures include: 1) making a flowchart of the financial transaction process, 2) designing the output format of the financial accountability letter, 3) simulating the school financial management information system accompanied by a programmer, 4) testing on three different users. The test results show that the financial management of SMA Negeri 1 Yogyakarta through the School Financial Management Information System produces output documentation of SPJ completeness automatically and can present real-time financial reports. It is expected that the School Financial Management Information System can improve the accuracy and achievement of the realization of BOSP fund absorption.

Mutiara Serpong Villa Complex, located in Pondok Jagung Timur Village, South Tangerang, is surrounded by the BSD City area. This area faces environmental problems due to the uncontrolled growth of water hyacinth (Eichornia Crassipes) in the surrounding lakes and swamps, causing irrigation disruption and decreasing water quality. Water hyacinth is known as a weed that damages the aquatic environment, but it also has positive potential as a raw material for organic fertilizer. This program aims to overcome the problem of the spread of water hyacinth by utilizing the plant into organic compost. Water hyacinth compost contains high nutrients, helps improve soil properties, and improves the quality and quantity of plants. This initiative is expected to provide environmental benefits while increasing the income of the surrounding community through the use of water hyacinth as organic fertilizer. Community Service Activities at the Mutiara Serpong Villa Complex use several methods that aim to provide understanding and skills about making compost from water hyacinth to the local community. There are five main stages: Socialization, Counseling, Training and Practice, Observation and Evaluation, Sustainability. This method is designed to increase active community participation and the sustainability of water hyacinth compost use as a beneficial environmental solution.

Banyaknya lereng pada pembangunan IPAL 1 KIPP IKN menyebabkan adanya potensi longsoran yang membahayakan lingkungan disekitarnya. Faktor yang sering mengakibatkan kelongsoran yaitu pengaruh geometri dan penyusun material tanah lereng tersebut. Tujuan dari penelitian ini adalah menganalisis stabil atau tidaknya suatu lereng yang ditunjukan dalam bentuk nilai Faktor Keamanan. Penelitian menggunakan dua metode, yaitu metode Bishop Simplified dan metode elemen hingga. Data yang digunakan pada penelitian ini yaitu geometri lereng pada jalan akses lingkar kanan IPAL 1 KIPP IKN dari Sta 0+340 s/d Sta 0+380 dan data penyelidikan tanah dari PT. YODYA selaku konsultan perencananya dengan tinggi lereng 25 m, lebar 20,6 m, nilai kohesi tanah (c) = , berat volume tanah , dan sudut geser tanah . Penelitian ini didapatkan hasil Faktor Keamanan dengan metode Bishop Simplified sebesar 1,7 dan metode elemen hingga sebesar 1,7. Berdasarkan nilai Faktor Keamanan yang disarankan SNI-8460 yaitu 1,5 berarti lereng tersebut aman karena nilai Faktor Keamanan lerengnya lebih besar dari yang disarankan.

Strategy to build public awareness so that they can be 'friends' with waste to get direct economic benefits from waste. Waste banks cannot stand alone but must be integrated with the 4R movement (recycle, reuse, reduce, and replace), namely the activity of treating waste by reusing, reducing, recycling, and replacing so that the direct benefits felt are not only economic, but also the development of a clean, green and healthy environment. In this activity, collaboration with existing waste banks in the environment so that the results are more optimal. The result is good enthusiasm from the community so that this activity runs according to plan.

This research aims to determine good corporate governance and ineffective monitoring of the condition of financial reports. This research uses a quantitative approach with a sample of 33 companies listed on the Indonesia Stock Exchange (IDX) for the period 2020 - 2022. This research investigates the relationship between the independent variable and the dependent variable by analyzing data from energy sector companies. This method uses multiple linear analysis techniques. The research results show that managerial ownership has a significant impact on the condition of financial statements. In line with the fraud triangle theory, which states that high management ownership can increase pressure to achieve financial goals and provide an opportunity to do so. Financial statement fraud is not influenced by institutional ownership and ineffective monitoring. These findings suggest that the effects of institutional ownership and ineffective monitoring may not be easy to predict. Further research is needed to understand the complexity of the components that contribute to the condition of financial statements.