Claim Missing Document
Check
Articles

Found 2 Documents
Search

Diabetes Mellitus Tipe 1 Fauziani, Andra Nabila; Adelia, Anggi; Ardika, Okta Besti; Himayani, Rani; Rahmanisa, Soraya
Medula Vol 14 No 3 (2024): Medula
Publisher : CV. Jasa Sukses Abadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53089/medula.v14i3.946

Abstract

Diabetes mellitus (DM) is a chronic condition with an increasing incidence worldwide. Not only does it occur in adults, but the incidence rate in children is also quite high. Type-1 DM is an autoimmune disease characterized by absolute insulin deficiency due to pancreatic gland cell damage. Although it can occur at any age, type-1 DM most commonly appears in adolescence with a peak onset around puberty. Diabetes mellitus is often caused by genetic factors and a person's lifestyle. Symptoms of Type 1 DM in children are the same as in adults: polyphagia, polydipsia, polyuria and nocturia, weight loss, and about a third suffer from diabetic ketoacidosis. Complications of diabetes can be divided into microvascular and macrovascular. Microvascular complications include nervous system damage (neuropathy), renal system damage (nephropathy) and eye damage (retinopathy), but can also affect cognitive function, heart and other organs. HbA1c screening is recommended every 3 to 6 months. HbA1c levels reflect glycemic control over the previous 2-3 months. The target HbA1c is generally <7.0%. Other laboratory tests include lipid profile, serum creatinine, eGFR, and urine albumin to creatinine ratio. Management of Type 1 DM includes insulin injection, blood sugar monitoring, nutrition, physical activity, and education. The goal of insulin therapy is to ensure that insulin levels in the body are sufficient for 24 hours to meet metabolic needs due to the glycemic effect of food.
OPTIMASI PENGIRIMAN PAKET DI DESA REJOSARI MENGGUNAKAN METODE TRAVELLING SALESMAN PROBLEM Adelia, Anggi; Aprilia, Jovika Sintia; Pratiwi, Aisyah; Soleha, Sri; Pratiwi, Suci Eka; Ramadhina, Diska; Darwanto
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 03 (2026): Volume 11 Nomor 03, September 2026 Now Available
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i03.64702

Abstract

The Travelling Salesman Problem (TSP) is a crucial vehicle routing method in logistics management. This concept focuses on finding the minimum travel distance from an origin point to all destination locations, under the assumption that each point is visited exactly once before the vehicle returns to the starting point. Through the application of TSP, companies can minimize operational costs and improve travel time efficiency. Therefore, this approach serves as a highly effective solution for obtaining optimal routes in product distribution systems. This study was conducted to optimize package delivery routes in Rejosari Village using the Traveling Salesman Problem (TSP) algorithm. In the package delivery process, several obstacles arise, such as recipients not being at home, inaccurate addresses, and weather changes, which render delivery routes inefficient. These conditions require an optimal routing system that can increase courier time and travel distance efficiency.This research adopts a graph modeling approach, in which each delivery location is represented as a node and the distance between two locations as an edge weight. The coordinate data of the recipient locations are then processed into a distance matrix, which forms the basis for the TSP algorithm calculations. The algorithm is subsequently used to identify the optimal route that visits all delivery points with minimum distance before returning to the origin point. The results demonstrate that the application of the TSP algorithm reduces both total delivery distance and delivery time compared to conventional methods. Consequently, utilizing the TSP algorithm offers a highly effective solution to enhance the efficiency of distribution and logistics systems for package delivery in Rejosari Village.