Kabupaten Magelang menghadapi tantangan kompleks dalam pengelolaan sampah akibat pertumbuhan penduduk dan aktivitas ekonomi yang pesat. Metode yang digunakan adalah kegiatan sosialisasi pengelolaan sampah, aksi bersih-bersih lingkungan, dan pembagian apotek hidup. Tujuan pemberdayaan masyarakat desa dalam konservasi sumber daya alam hasil sosialisasi dan edukasi lingkungan ini yaitu untuk meningkatkan kesadaran, pemahaman dan partisipasi masyarakat desa dalam pengelolaan sampah, menumbuhkan budaya gotong royong, menciptakan lingkungan yang lebih sehat, serta mendorong pemanfaatan tanaman obat sebagai alternatif pengobatan alami guna mewujudkan Desa Girikulon yang lebih lestari dan mandiri. Program kerja berupa sosialisasi dan edukasi kolaborasi Tim 23 KKN Untidar Tidar Periode Januari 2025 bersama Dinas Lingkungan Hidup (DLH), kerjabakti kebersihan bersama warga setempat dan pembagian apotek hidup ini disambut baik oleh masyarakat, dan secara berkelanjutan dapat menciptakan desa yang bersih dan sehat.

This research focuses on understanding how gender equality impacts per capita income in Gorontalo Regency. A quantitative method was used, relying on secondary data for analysis. To explore the connection between gender equality and per capita income, simple linear regression was applied. The results indicate that gender equality positively and significantly influences per capita income in this area. The analysis showed a determination coefficient, which reveals that 81. 3 percent of the change in per capita income is accounted for by gender equality, while the remaining 18. 7 percent is affected by other factors that are not considered in this study. This implies that enhancing gender equality plays a crucial role in boosting per capita income within Gorontalo Regency..

Internal access abuse is a form of fraud that can significantly harm a company, both financially and reputationally. Therefore, it is essential for companies to implement effective preventive measures to protect the integrity of their information systems and assets. This article discusses various strategies that can be applied to prevent fraud, including the implementation of strong internal controls, segregation of duties, and strict access controls. Additionally, features such as audit trails, clear security policies, and the use of advanced security technologies are key elements in detecting and preventing access abuse. Building a culture of ethics and transparency within the company, as well as providing ongoing education and training to employees, is also crucial for raising awareness of fraud risks. Conducting regular audits and risk assessments can help companies identify potential weaknesses in their internal control systems. By adopting a comprehensive and integrated approach, companies can protect their assets, maintain operational integrity, and build trust among employees and stakeholders, ultimately contributing to the long-term success of the organization

Abstract. Aging naturally reduces physiology, increasing susceptibility to injuries, particularly in the knee joint, which supports substantial body weight and is vulnerable to osteoarthritis and ligament injuries. The current study investigates the effectiveness of leg muscle strength training in reducing knee pain intensity among elderly women aged 45 years and older residing in Gayamsari District, Semarang. A pre-experimental design employing a one-group pre-test post-test approach was implemented. Forty-two participants were selected using purposive sampling methods. The intervention involved leg muscle strengthening exercises conducted twice per week for six weeks, with each session lasting 40 minutes. Knee pain intensity was assessed using the Numerical Rating Scale both prior to and following the intervention. Data analysis was performed using the Wilcoxon signed ranks test due to non-normally distributed data. Findings indicated a statistically significant reduction in knee pain intensity, with average pre-test pain scores recorded at 3.2 ± 2.2 and average post-test scores recorded at 0.9 ± 1.4 (p = 0.000). Of the participants, 40 demonstrated a reduction in pain levels, whereas 2 participants showed no improvement, potentially influenced by additional medical conditions including gout and hypertension. In conclusion, leg muscle strength training significantly contributed to reducing knee pain intensity in elderly women, thereby justifying inclusion in rehabilitation programs targeting knee pain associated with osteoarthritis and ligament injuries. Further research is recommended to investigate tailored training protocols that account for co-morbid conditions and their impact on pain management efficacy.
Abstract in Indonesia. Penuaan secara alami mengurangi fisiologi, meningkatkan kerentanan terhadap cedera, terutama pada sendi lutut, yang menopang berat tubuh yang substansial dan rentan terhadap osteoatritis dan cedera ligamen. Penelitian saat ini menyelidiki efektivitas latihan kekuatan otot kaki dalam mengurangi intensitas nyeri lutut di antara wanita lanjut usia berusia 45 tahun ke atas yang tinggal di Kecamatan Gayamsari, Semarang. Desain pra-eksperimental yang menggunakan pendekatan satu kelompok pra-tes pasca-tes diterapkan. Empat puluh dua peserta dipilih menggunakan metode purposive sampling. Intervensi melibatkan latihan penguatan otot kaki yang dilakukan dua kali seminggu selama enam minggu, dengan setiap sesi berlangsung selama 40 menit. Intensitas nyeri lutut dinilai menggunakan Numerical Rating Scale sebelum dan sesudah intervensi. Analisis data dilakukan dengan menggunakan uji peringkat bertanda Wilcoxon karena data tidak terdistribusi normal. Temuan menunjukkan pengurangan signifikan secara statistik dalam intensitas nyeri lutut, dengan skor nyeri pra-tes rata-rata tercatat sebesar 3,2 ± 2,2 dan skor pasca-tes rata-rata tercatat sebesar 0,9 ± 1,4 (p = 0,000). Dari peserta, 40 menunjukkan pengurangan tingkat nyeri, sedangkan 2 peserta tidak menunjukkan perbaikan, yang mungkin dipengaruhi oleh kondisi medis tambahan termasuk asam urat dan hipertensi. Sebagai kesimpulan, latihan kekuatan otot kaki berkontribusi signifikan terhadap pengurangan intensitas nyeri lutut pada wanita lanjut usia, sehingga membenarkan dimasukkannya dalam program rehabilitasi yang menargetkan nyeri lutut yang terkait dengan osteoatritis dan cedera ligamen. Penelitian lebih lanjut direkomendasikan untuk menyelidiki protokol pelatihan yang disesuaikan yang memperhitungkan kondisi komorbiditas dan dampaknya terhadap kemanjuran manajemen nyeri.

This study explores the concept of Ethno-Eco-Design as a strategic approach to empower literapreneur start-ups in the screen printing and apparel industry in Semarang. Based on preliminary surveys and related studies, these start-ups face two major challenges in 21st-century entrepreneurship: low ecological awareness in their production and business practices, and limited market segmentation, particularly in reaching millennial consumers. Using a participatory action research method, this study examines how the integration of local cultural elements (ethno-design) with environmentally friendly design practices (eco-design) can enhance the sustainability and market relevance of these start-ups. As a result, a design framework was developed that not only supports green entrepreneurship (ecopreneurship) but also expands the literacy and creative capacity of young business actors in a competitive and environmentally conscious market.

Because we are social creatures, laws establish norms about how members of society should interact with each other. The Constitution of the Republic of Indonesia establishes a legal framework to regulate all human interests, including human rights. An agreement is an important document that regulates the responsibilities and privileges of individuals involved in a contractual relationship. An agreement is defined as a legally binding act that binds the promising parties in Article 1313 of the Indonesian Civil Code. However, agreements are not always enforced, and defaults occur all the time; for example, PT. Bank Rakyat Indonesia (Persero) Tbk is fighting debtors who have not paid their bills. The causes of default, its impact on the parties, and the procedures required by law to resolve disputes are all discussed in this abstract. It is believed that a thorough understanding of default will help prevent similar incidents in the future and find fair and efficient solutions.

This study aims to evaluate the level of compliance of sustainability report disclosures based on the Global Reporting Initiative (GRI) Standards in four energy sector companies in Indonesia, namely PT Bukit Asam (PTBA) Tbk, PT Aneka Tambang (ANTM) Tbk, PT Timah (TINS) Tbk, and PT Alamtri Resources Indonesia (ADRO) Tbk for the period 2022-2024 using a qualitative descriptive approach method with content analysis of each company's sustainability report and comparing disclosures on indicators of universal standards and specific GRI standards. The results showed that all companies have achieved full compliance with GRI universal standards in the last two years (2023 and 2024), especially PTBA, ANTM, and TINS consistently maintain complete disclosure (100%) on GRI 100: Universal Standard for three consecutive years since 2022. Likewise, TINS managed to achieve 100% full disclosure for GRI specific standards 200, 300, 400 and ranked first for the 2023-2024 period compared to the other 3 companies. However, there are variations in disclosure on the economic, environmental and social specific standards between 4 companies. These findings confirm a commitment to transparency in the energy sector, but there is a need to improve the quality of reporting, particularly on social and environmental aspects to align with international standards.

Handwritten digit recognition is one of the key challenges in the field of digital image processing and artificial intelligence, with significant potential in various applications such as automatic form input systems, handwritten data correction, and attendance systems based on handwriting. This study aims to develop a web-based information system capable of automatically recognizing handwritten digits using the K-Nearest Neighbors (KNN) classification method. The system is designed through several main stages, including image preprocessing (conversion to grayscale, thresholding, and image size normalization), feature extraction using the zoning technique, and classification using the KNN algorithm. This research utilizes the MNIST dataset, which contains thousands of handwritten digit images ranging from 0 to 9. The system is developed using the Google Colab platform, supported by Python libraries such as OpenCV, NumPy, and Scikit-learn. Test results show that the system can achieve an accuracy of over 90% at certain K values, indicating that the KNN method is quite effective and efficient in recognizing handwritten digit patterns. This system is expected to be applicable for various digitization needs of handwritten numbers in education, administration, and information technology sectors

The reason for this study was to determine the impact of brand image, product quality, and promotion on purchasing decisions of Pizza Hut consumers. The population is Pizza Hut customers, with a sample of 150 respondents taken using non-probability sampling techniques with purposive sampling method. PLS was used as an analytical tool in this study. This study shows that brand image has a positive, but insignificant, impact on purchasing decisions of Pizza Hut consumers. On the other hand, product quality has a positive and significant impact on purchasing decisions of Pizza Hut consumers. In addition, promotion also has a positive and significant impact on purchasing decisions of Pizza Hut consumers.

Purpose: Breast cancer remains a significant cause of mortality among women, requiring accurate diagnostic methods. Traditional classification models often face accuracy challenges due to missing values and irrelevant features. This investigation advances the classification of breast cancer through the amalgamation of the C4.5 algorithm with K-Nearest Neighbor (KNN) imputation and Relief feature selection methodologies, thereby augmenting data integrity and enhancing classification efficacy.
Methods: The Wisconsin Breast Cancer Database (WBCD) was the core reference for evaluating the proposed methodology. KNN imputation addressed missing values, while Relief selected the most relevant features. The C4.5 algorithm executed training by utilizing data segregations in the corresponding proportions of 70:30, 80:20, and 90:10, with its efficiency gauged through a range of metrics, particularly accuracy, precision, recall, and F1-score.
Result: This innovative methodology achieved the highest classification accuracy of 98.57%, surpassing several existing models. Particularly noteworthy, the strategy being analyzed exhibited remarkable success relative to PSO-C4.5 (96.49%), EBL-RBFNN (98.40%), Gaussian Naïve Bayes (97.50%), and t-SNE (98.20%), demonstrating associated advancements of 2.08%, 0.17%, 1.07%, and 0.37%. These results confirm its effectiveness in handling missing values and selecting relevant features.
Novelty: Unlike prior studies that addressed missing values and feature selection separately, this research integrates both techniques, enhancing classification accuracy and computational efficiency. The findings suggest that this approach provides a reliable breast cancer diagnosis method. Future work could explore deep learning integration and validation on larger datasets to improve generalizability.