Judul: Penyelesaian Vehicle Routing Problem pada Pendistribusian Sayuran Dataran Tinggi Menggunakan Algoritme Genetika (Studi Kasus PT Saung Mirwan)
Abstrak: Vehicle routing problem (VRP) is an important issue on a transportation system that aims at minimizing the total vehicle mileage to reduce vehicle operating cost to a minimum. Vehicle routing problem belongs to the class of non-polynomial hard (NP-hard), which generally uses a heuristic approach to find a solution. In this time, Vehicle routing problem resolution will be applied to the distribution of highland vegetables from PT. Saung Mirwan as the vegetable distribution center. The problems that often arise in the distribution of highland plain vegetables is to how minimize the total of transportation costs without sacrificing the goal completion time to reduce the risk of the decline in the quality of vegetables during the trip. Issues will become increasingly complex if the vehicle routing problem is flexible to changes that occur in the limit or the value of decision variables. The problems encountered in this case include heterogeneous multi fleet VRP, single source, single trip, and multi-product. Therefore, this research used genetic algorithm optimization method (GA) to solve the problem. Genetic algorithm is one of the heuristic methods, which is analogous to the process of evolution by natural selection phase, crossover and mutation. In this paper a simulation is performed by searching the optimum solution to the location of the distribution as the destination points. Optimum solutions are obtained in the form of division of highland vegetable distribution channels that meet the existing constraints. As a solution, there was reduction of the distribution time of about 1 hour 58 minutes or an increase in time efficiency by approximately 32.22% and a reduction of the fleet utilization by 1 fleet or an increase of fleet efficiency by 14.28%.
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Judul: Vehicle Routing Problem pada Distribusi Produk Pertanian Menggunakan Metode Algoritma Genetika (Studi Kasus di Locarvest).
Abstrak: Penentuan rute distribusi yang juga disebut vehicle routing problem (VRP) merupakan salah satu permasalahan yang ada pada sistem distribusi. Permasalahan serupa juga dialami oleh Locarvest yang masih melakukan proses penentuan rute distribusi secara manual. Efisiensi dalam proses distribusi sangat diperlukan karena kegiatan distribusi memerlukan sumberdaya dan biaya yang cukup tinggi. Oleh karena itu, diperlukan optimasi dalam proses penentuan rute distribusi. Penelitian ini bertujuan menimumkan jarak dan biaya distribusi dengan melakukan pencarian rute distribusi terpendek. Metode penelitian ini diantaranya adalah pengumpulan alamat konsumen sebagai data utama dan pengamatan sistem distribusi yang terjadi di lapangan. Proses optimasi pencarian rute dilakukan menggunakan algoritma genetika dengan menerapkan model persamaan VRP. Hasil dari proses optimasi yaitu berupa rute dan total jarak tempuh terpendek. Berdasarkan hasil penelitian, didapatkan pengurangan total jarak tempuh 19.967 km terhadap 20 titik konsumen. Efisiensi yang diperoleh dengan menerapkan sistem optimasi yang dibuat adalah sebesar 16.50%. Penerapan metode algoritma genetika dapat diterapkan dalam permasalahan penentuan rute distribusi di Locarvest. Kedepannya perlu dihitung kelayakan secara finansial dari penerapan sistem penentuan rute distribusi yang telah dibuat.
Keyword: Algoritma Genetika, Distribusi, Vehicle Routing Problem

Judul: Durability of Specific Immunoglobulin (Ig) Y Againts Influenza and Covid-19 in Sunscreen
Abstrak: The benefit of specific immunoglobulin Y (Ig Y) as an active ingredient in personal care products such as sunscreen has not been properly studied. Our study aims to evaluate the reliability of specific IgY against influenza and the COVID-19 virus in a sample sunscreen product. Specific IgY influenza and COVID-19 viruses were inserted in the sample sunscreen at two concentrations of 0.1% and 0.25%. Three treatments were observed: control (C) sunscreen without IgY, treatment 1 (T1) sunscreen with 0.1% IgY, and treatment 2 (T2) sunscreen with 0.25% IgY. Organoleptic observations were carried out to monitor changes in aroma, color, and texture, and sunscreen sampling was done every week for 6 weeks. The durability of IgY was evaluated using an enzyme-linked immunosorbent assay (ELISA) and a neutralization assay. Organoleptic observation from weeks 1 to 6 showed consistency in its aroma, color, and texture. Enzyme-linked immunosorbent assay and neutralization assay (NA) results of the T1 and T2 groups showed negative results except for sample T1 at week 5, which showed a positive result in the Influenza A ELISA. Based on the results, it seems that IgY concentrations of 0.1% or 0.25% were not optimal. However, this negative result might be due to low concentration of the IgY and the presence of beeswax, which inhibits IgY and causes it to dissolve in distilled water, thus preventing it from being detected in the assay.
Keyword: Immunoglobulin Y, Sunscreen, Influenza, COVID-19, Biological Activity