A very large KRL/Commuter Line passenger increases at any time will cause problems to be monitored by P.T KAI with an enormous number of passengers who like to fly passenger accumulation. The total arrival of passengers built upon the system is 48182 passengers, with a time of 240 minutes (05.00-09.00). Based on the data analysis, it can be concluded that the model of Commuter Line Bekasi system to Jakarta Kota is currently stored in the passenger capacity whose KRL capacity itself is not enough with the number of passengers not transported is 7483 passengers. To overcome the current passenger accumulation is to use the scenario that has been made that is using the actual time of 14 minutes and increases the number of trains that should be 20 trains to 22 trains. The simulated scenario model result is 3034 passengers transported. Suggestions for further researchers to cope with a perfect passenger pile.

This research is about design and implementation of information systems in PT XYZ Outlet. The goal is to design and implement an information system that can manage data and inventory management in an integrated and centralized manner. In designing the information system, the Waterfall model is used which has the advantages that have been considered, one of which is conformity to the characteristics of the problems found. Inventory management problems in this study solved using the Min-Max Stock method. The application of the Min-Max Stock method is effective and can reduce inventory costs at PT XYZ. For Chicken Boneless Marinated, Beef Santori Tenderloin, and Coffee Bean items each reduce 5% or IDR 1,610,000, 7% or IDR 1,598,031,648, and 11% or IDR 2,150,000. The results of the design and implementation of this information system can assist in recording and managing inventory that is integrated and centralized.AbstrakPenelitian ini membahas mengenai proses perancangan dan implementasi sistem informasi pada Outlet PT XYZ. Tujuan penelitian ini adalah memperoleh rancangan dan mengimplementasikan suatu sistem informasi yang mengintegrasikan dan memusatkan pengelolaan pencatatan serta pengelolaan persediaan. Model Waterfall digunakan untuk pengembangan sistem informasi dalam penelitian ini karena memiliki kelebihan-kelebihan yang telah dipertimbangkan, salah satunya adalah kesesuaian dengan karakterisik permasalahan yang ditemukan. Sedangkan metode pengelolaan persediaan yang digunakan dalam penelitian ini adalah metode Min-Max Stock. Penerapan Min-Max Stock sebagai metode pengelolaan persediaan efektif untuk diterapkan dan dapat memangkas biaya persediaan di PT XYZ. Untuk barang Chicken Boneless Marinasi, Beef Santori Tenderloin, dan Coffee Bean masing-masing menghasilkan penghematan sebesar 5% atau Rp 1.610.000,  7% atau Rp 1.598.031,648, dan 11% atau Rp 2.150.000. Hasil dari perancangan dan implementasi sistem informasi ini dapat membantu PT XYZ dalam melakukan proses pencatatan dan pengelolaan persediaan yang terintegrasi dan terpusat.

Inventory control is one of the problems faced by Universitas Pertamina. In the management of inventory, especially Consumable items, Universitas Pertamina does not determine the limited value of inventory that must be stored. Thus, this causes asset management difficult to determine the ordering quantity for each item and how many items should be stored in the warehouse. The purpose of this study is to recommend policies related to the value of safety stock, minimum stock, and maximum stock for each consumable item. The method used is the Min-Max Stock method. In addition, the ABC classification method is also used to classify items based on the level of usage. The results of this study are in the form of value limits for safety stock, minimum stock, and maximum stock. Then the priority item classification must be managed. Based on the calculation results, it is found that by using the min-max method, Universitas Pertamina can save up to 30% of inventory costs compared to the current policy.

Waste collection and transportation processes are accounted for more than 50% of all total waste management costs then there is an urgency for a waste recycling company to minimize this activities-related total cost by any means. Route optimization in collecting those plastics wastes can be a good solution to addressing the problem. This research focuses on determining waste collection routes for multilayer plastic with the objective function of minimizing total transportation costs. The waste collection problem is modeled as Vehicle Routing Problem (VRP) with a certain capacity and constrained time windows but here the vehicle is allowed to travel multiple times, this model said as the Multi-Trip Multi-period Capacitated Vehicle Routing Problem with Time Windows (MCVRPTW). The model was solved by an exact method using mixed integer linear programming and a metaheuristic approach using the Genetic Algorithm (GA). The results showed that the exact method was able to solve problems on small data instances and required almost 100% higher computation time than of metaheuristic approach. The best GA solution with mutation and crossover rates of 0.75 and 0.1 provides savings of 30.2% compared to the total transportation cost for existing conditions.

Public transportation plays an important role in meeting people's needs for traveling. In a big city like DKI Jakarta, public transportation plays an important role in supporting the daily activities of its people. Transjakarta is one of the mass public transportation (bus rapid transit) provided by the local government for the community. One of the corridors that have the highest number of passengers is corridor 1 which serves the Blok M - Kota route. The problem that occurs is the irregularity in the scheduling system and the operation of the buses which are considered to be less than optimal, as a result, many buses are idle or buses travel but only carry a few passengers, especially during peak hours on weekdays. To solve this problem, it is necessary to conduct research that regulates the scheduling of bus arrivals at peak hours to serve a large number of passengers. The method used in this research is a simulation by determining the headway timing and determining the number of buses to operate as optimally as possible. The proposed simulation is made of 3 new scenarios and 1 proposed scenario for real-time conditions. Based on the simulation results, the determination of the headway time of 9 minutes between arrivals and 13 buses used during rush hour, from the previous one with a headway time of 4 minutes between arrivals, but the buses used are 30 buses during peak hours. This proposal given is to save bus usage and maximize the utility of the bus.