Judul: Penyelesaian Split Delivery Vehicle Routing Problem Menggunakan Algoritme Tabu Search.
Abstrak: Split Delivery Vehicle Routing Problems (SDVRP) merupakan masalah penentuan rute pendistribusian barang ke para pelanggan yang dimulai dan diakhiri di suatu depot. Setiap pelanggan dapat dikunjungi lebih dari satu kali. Model SDVRP merupakan kasus NP-Hard Problem yang dapat diselesaikan menggunakan metode eksak, heuristic maupun meta-heuristic. Pada karya ilmiah ini, SDVRP diselesaikan menggunakan metode eksak Integer Linear Programming (ILP) dan metode meta-heuristic Tabu Search 2-opt. Hasil uji coba memperlihatkan bahwa waktu eksekusi menggunakan metode meta-heuristic jauh lebih cepat dibandingkan dengan metode eksak. Akan tetapi, metode meta-heuristic masih menghasilkan selisih jarak yang relatif besar dibanding metode eksak.
Keyword: 2-opt, SDVRP, Tabu Search, 2-opt, SDVRP, Tabu Search

Judul: Penyelesaian Vehicle Routing Problem  with Simultaneous Delivery and Pickup: Studi Kasus Pendistribusian LPG 3 kg
Abstrak: Permasalahan rute pendistribusian termasuk dalam vehicle routing problem (VRP). VRP memiliki beberapa variasi, salah satunya adalah vehicle routing problem with simultaneous delivery and pickup (VRPSDP). Pengaplikasian VRPSDP dapat dilihat dari pendistribusian tabung LPG 3 kg, di mana agen mengirim tabung terisi ke pangkalan dan mengambil tabung kosong dalam satu kali perjalanan. VRPSDP dapat diselesaikan menggunakan metode eksak dan heuristik. Pada penelitian ini, dijelaskan bagaimana algoritme genetika mampu menyelesaikan masalah perutean kendaraan untuk mendistribusikan tabung LPG 3 kg pada PT Anten Surya Saputra. Algoritme genetika merupakan salah satu metode heuristik yang mendekati solusi optimal melalui beberapa proses, di antaranya seleksi, kawin silang, dan mutasi. Hasilnya, algoritme genetika mampu memberikan solusi yang mendekati optimal dalam waktu yang relatif lebih singkat dibanding metode eksak, dengan rata-rata persentase selisih solusinya adalah 6.32%., Distribution route problems are included in the vehicle routing problem (VRP). VRP has several variations, one of them is the vehicle routing problem with simultaneous delivery and pickup (VRPSDP). The application of VRPSDP can be seen from the distribution of 3 kg LPG, where the agent sends filled tubes to the base and pick up empty tubes in one trip. VRPSDP can be solved using exact and heuristic methods. In this study, it is explained how the genetic algorithm is able to solve the problem of vehicle routing to distribute 3 kg LPG at PT Anten Surya Saputra. Genetic algorithm is a heuristic method that approaches the optimal solution through several processes, including selection, crossover, and mutation. As a result, genetic algorithms are able to provide sub-optimal solutions in a relatively shorter time than the exact method, with an average percentage of the difference in solutions is 6.32%.
Keyword: 3 kg LPG, distribution, genetic algorithm, vehicle routing problem, VRPSDP

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