Diabetes adalah salah satu tantangan kesehatan global yang terus meningkat, dengan deteksi dini pradiabetes menjadi kunci untuk pencegahan. Data yang digunakan diambil dari Diabetes Health Indicators Dataset dan dipersiapkan melalui tahap feature engineering, analisis korelasi, dan penanganan missing value. Selanjutnya, model dibangun menggunakan tiga algoritma utama, yaitu Random Forest, XGBoost, dan Logistic Regression. Penelitian ini menggabungkan analisis korelasi variabel dan metode imbalance learning untuk mengoptimalkan prediksi pradiabetes menggunakan algoritma machine learning. Untuk menangani ketidakseimbangan data, teknik SMOTE diterapkan guna menghasilkan data sintetik pada kelas minoritas. Hasil penelitian menunjukkan model Random Forest memberikan kinerja terbaik dengan akurasi 97,57%, mengungguli XGBoost dan Logistic Regression. Penerapan analisis korelasi variabel dan imbalance learning terbukti efektif dalam meningkatkan kinerja prediksi dengan identifikasi fitur penting. Penelitian ini menunjukkan bahwa pendekatan yang diterapkan dapat membantu deteksi dini pradiabetes secara lebih akurat dan tepat.
 
Kata kunci: Diabetes, Deteksi Prediabetes, Machine Learning, Random Forest

Organic fertilizers contain organic materials such as compost, manure, or other organic waste materials. When organic fertilizers are applied to the soil, they provide an abundant source of nutrients, including nitrogen, phosphorus, and potassium, as well as essential micronutrients. The community service activity program aims to empower farmers with the knowledge and skills to make organic fertilizers from local materials, which not only lower production costs but also improve soil quality and crop yields. The community service activity with the theme "Assistance and Making Organic Fertilizers in Reducing Fertilizer Costs for Farmers in Rowo Gempol Village, Lekok District, Pasuruan Regency" Through the Participatory Action Research method which includes preparation, processing, application, and evaluation, this program has succeeded in improving soil quality and supporting plant growth in the campus green area. Organic fertilizers, produced from campus organic waste such as dry leaves and food scraps, increase soil nutrient content and plant health, and reduce the negative impacts of synthetic chemicals. This activity also involves students in the process of processing and applying fertilizers, providing practical experience and raising awareness of the importance of sustainable agriculture and environmental management. The evaluation results showed a significant positive impact on soil quality and plant growth, with more fertile soil and healthier plants. In addition to the ecological benefits, the program plays an important educational role, by increasing students' understanding of environmentally friendly practices and organic farming skills. The success of this model is expected to be replicated in other villages. so that the benefits of this program can be felt more widely and support the creation of more sustainable agriculture.

Industri konstruksi dengan jumlah pekerja yang relatif banyak menyebabkan munculnya tantangan keamanan, kesejahteraan dan produktivitas pekerja. Penyelesaian terkait produktivitas pekerja tentu membutuhkan beberapa faktor yang turut mendukungnya seperti stres kerja, lingkungan kerja dan masa kerja. Oleh karena itu penelitian deskriptif ini akan menggambarkan masalah untuk mengembangkan produktivitas melalui pengamatan stres, lingkungan kerja, dan masa kerja. Studi dilakukan di salah satu perusahaan konstruksi berpusat di Jakarta dan tertuju pada salah satu proyek pengerjaan di Kota Malang. Ada 214 pekerja dijadikan responden. Pengumpulan data menggunakan angket. Hipotesis diuji setelah melakukan analisis regresi. Hasil penelitian menunjukkan terdapat pengaruh yang positif dan signifikan dari stres terhadap produktivitas pekerja konstruksi. Terdapat pengaruh yang positif dan signifikan dari lingkungan kerja terhadap produktivitas pekerja konstruksi. Terdapat pengaruh yang positif dan signifikan dari masa kerja terhadap produktivitas pekerja konstruksi. Terdapat pengaruh yang positif dan signifikan dari stres, lingkungan kerja dan masa kerja kerja terhadap produktivitas pekerja konstruksi.

. An appropriate marketing strategy is definitely needed by companies from small to large scale, there are no companies engaged in the property sector. This is because currently there are many similar property businesses with their respective attractiveness and advantages in the minds of the people. This study focuses on factors such as price, location and promotion. The method in this study is descriptive associative, namely analyzing the data by describing the data and knowing the relationship between variables. The research location is in Sidoarjo Regency. Samples were taken by accidential technique. There are 100 respondents involved in this study. Regression analysis for analysis uses SPSS version 26. This study proves that purchasing behavior is significantly affected by price partially. Location has a significant role in buying behavior. The role of promotion can significantly influence buying behavior. Likewise, buying behavior is influenced by price, location and promotion simultaneously.