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Diabetes is a serious chronic disease that occurs because the pancreas does not produce enough insulin (a hormone that regulates blood sugar or glucose), or when the body cannot effectively use the insulin it produces. WHO data shows that the incidence of non-communicable diseases in 2004 reached 48 , 30% is slightly higher than the incidence rate of infectious diseases, namely 47.50% [1]. According to the Ministry of Health in 2012 diabetes caused 1.5 million deaths. Some Indonesian people, this disease is better known as diabetes or blood sugar. This research was developed through secondary data processing from the Pima Indians Diabetes Dataset health database which was taken from the Kaggle dataset and can be accessed through https://www.kaggle.com/uciml/pima-indians-diabetes-database. Where the data itself consists of 768 records with several medical predictor variables (Pregnancies, Glucose, Blood Pressure, Skin Thickness, Insulin, BMI, Diabetes Pedigree Function, Age and Outcome). Then the data will be processed using the Particle Swarm Optimization (PSO) feature selection to increase the accuracy value and the Naive Bayes algorithm to determine the accuracy results of the diagnosis of diabetes. From the results of research that has been done for the accuracy of the classification algorithm Naive Bayes is 74.61%, while the accuracy of the classification algorithm with Particle Swarm Optimization is 77.34% with an accuracy difference of 2.73%. So it can be concluded that the application of the Particle Swarm Optimization technique is able to select attributes in the Naive Bayes Algorithm, and can produce a better level of diabetes diagnosis accuracy than using only the individual method, namely the Naive Bayes algorithm. Keywords: Diabetes, Particle Swarm Optimization, Naive Bayes Algorithm

Product distribution is a crucial element of the supply chain system that ensures the smooth flow of goods from producers to consumers at minimal cost and with high reliability. Distribution efficiency not only reduces operational costs but also improves customer satisfaction, market competitiveness, and business sustainability. In the context of Micro, Small, and Medium Enterprises (MSMEs), distribution efficiency becomes even more critical due to limited financial, human, and infrastructural resources. This study aims to analyze the product distribution efficiency of UMKM Kerupuk Jaya Pesona, located in Cinanggung Village, Serang Regency, Banten Province, by applying two classical transportation methods: the North West Corner (NWC) and Least Cost (LC) methods. Both methods were used to determine the allocation pattern that minimizes total transportation cost across three destination regions: Serang, Cilegon, and Pandeglang. The data include three couriers (as supply sources) and three market destinations (as demands), totaling 18,000 product units per distribution cycle. The results show that both NWC and LC methods yield the same total transportation cost of Rp 358,000,000, although their allocation patterns differ. This indicates that the supply–demand and cost structure of the UMKM’s logistics system is balanced. This research concludes that simple optimization methods such as NWC and LC can serve as practical decision-support tools for MSMEs without requiring complex computational models. The study also recommends the application of the Modified Distribution (MODI) method to verify the optimality of the solution and highlights the importance of logistics efficiency in strengthening MSME competitiveness in the digital era.

Pengabdian ini merupakan pengabdian lanjutan dari proses pengabdian sebelumnyam bahwa di Kelurahan Desa Gebang memiliki potensi untuk ditingkatkan UMKM makanan ringan.  Dengan adanya peningkatan UMKM di Kelurahan Gebang, akan dapat meningkatkan kesejahteraan masyarakat di lingkungannya. Akan tetapi dalam pemasaran produk UMKM masyarakat di Kelurahan Gebang belum diimbangi dengan adanya pemanfaatan alat tekhnologi, sehingga proses pemasaran belum optimal. Hal ini disebabkan karena rata-rata pelaku UMKM memiliki usia yang tidak muda lagi, sehingga perlu pendampingan yang lebih ekstra. Pada saat era milineal ini, semua disajikan secara praktis dan efisien yaitu dengan memanfaatkan tekhnologi informasi. Seperti pemasaran melalui akun facebook, Instagram, website, twitter dan lain-lain. Hal ini bertujuan bahwa dengan menggunakan tekhnologi informasi, semua informasi produk dapat tersampaikan secara luas, baik tingkat nasional maupun internasional. Permasalahan yang utama ketika UMKM tidak memanfaatkan tekhnologi informasi dengan baik adalah mereka hanya bisa menjual produknya secara lokal dan jenis-jenis produk yang dijual tidak tersampaikan secara luas. Dalam mensiatasi kompetensi bisnis di era digital diharapkan seluruh UMKM memahami dan menggunakan digital marketing dengan baik, agar mereka mampu bersaing dengan baik hingga mencapai keunggulan k;ompetitif lebih maksimal. Materi yang diberikan kepada UMKM di Kelurahan Desa Gebang adalah tujuh konsep pemasran ampuh dengan metode digital, diantaranya adalah Search Engine Optimization (SEO), Search Engine Marketing (SEM), Pembuatan Konten, Mobile Marketing, Email Marketing, Affiliate Marketing, Pemasaran Media SosialUMKM, Digital Marketing, Kelurahan Gebang