Dekomposisi Fungsi pada Pengembangan Sistem Persediaan Barang CV. Jaya Abadi Berbasis Java

CV. Jaya Abadi is a company engaged in the sale of building materials. This company in its business activities has not implemented information technology as a whole. One of the problems that need to be considered in the company's business processes is the inventory system. The inventory system is carried out using paper files which have a less effective and efficient impact and hinder company performance. Often there are errors in recording inventory. A reliable information system is needed so that the transaction process runs optimally and reduces errors made by employees. This research was conducted to solve the problem of inventory management at CV. Jaya Abadi. Based on these problems, the main objective of this study is how to improve inventory management in CV. Jaya Abadi.

Pelatihan penggunaan aplikasi Inventaris Gudang Puskesmas Sakra

An inventory system is a system that manages data on items owned by an office. A good inventory system will help a company manage data on goods owned by the company. Not only do big companies need an inventory system, but small offices also need an inventory system. Likewise, with the Health Center, managing data such as drugs, medical equipment, stationery, etc., requires a good warehouse inventory system. Therefore, this service activity aims to develop and train the Health Center Warehouse Inventory application. The partner of this activity is the Sakra Community Health Center (administrative staff). The methods used are lectures, mentoring, and direct practice using applications. The result of this activity is the production of warehouse inventory system software for the Sakra Health Center. In addition, the Sakra Health Center's administrative staff can also run the software

Smart Inventory System untuk Distribusi Vaksin dengan Metode Economic Order Quantity

Sistem inventory adalah serangkaian aktivitas dalam melakukan proses pengelolaan data barang yang terdapat pada penyimpanan yang memiliki peran dan fungsi krusial untuk menyelesaikan permasalahan dalam mengelola, mengontrol, dan memudahkan pelaporan data barang. Sistem inventory diperlukan salah satunya untuk memanajemen persediaan stok vaksin. Saat ini manajemen persediaan vaksin pada dinas kesehatan hingga ke level puskesmas masih ditemukan permasalahan, seperti belum adanya standar perhitungan kuantitas pengadaan dan safety stock yang optimal sehingga persediaan menjadi tidak merata di beberapa wilayah yang menyebabkan terjadinya kelebihan dan kekosongan stok. Hal ini membuat pengelolaan biaya persediaan vaksin tidak efisien. Oleh karenanya, diperlukan sistem inventory yang mampu meningkatkan efisiensi pengelolaan stok vaksin yang optimal dengan meminimumkan biaya. Penelitian yang dilakukan, yaitu membangun smart inventory system menerapkan metode economic order quantity untuk mengoptimalkan persediaan dan mengimplementasikan teknologi RFID (Radio Frequency Identification) berbasis Internet of Things (IoT) untuk mengefisiensi pencatatan pergerakan stok secara otomatis. Sistem dianalisis dan dirancang menggunakan metode SDLC (System Development Life Cycle) sehingga spesifikasi kebutuhan diidentifikasi secara jelas agar dapat memecah permasalahan. Model yang digunakan adalah waterfall methodology. Selanjutnya dilakukan pengujian terhadap smart inventory system. Berdasarkan pengujian yang dilakukan menunjukkan smart inventory system memenuhi kebutuhan dalam pengelolaan stok vaksin secara efektif dan efisien dengan performance error yang terjadi hanya sebesar 1,98%.

A MAC Layer Protocol For Smart Indoor Inventory Management System

The indoor inventory system is gaining more research attention and commercial value with the development of IoT. In this thesis, we presented the design of a MAC protocol that allows synchronized transmission of location and sensing data in a wireless positioning and sensor network for an indoor inventory system. The network supports real-life industrial applications and provides a highly specific positioning method.<div>In the network, mobile sensing tags are connected to smart readers that performs localization of tags and gathers sensing data from the tags. The readers are connected to the back-end cloud. The proposed MAC serves multiple classes of mobile tags with different priorities and latency requirements. These tags transmit critical, position and sensing data with different QoS requirements. The proposed MAC is a hybrid MAC that offers contention-based period for tag discovery and scheduled period for the transmission of sensing data with guaranteed latency. We conducted simulation to evaluate the performance of different methods of discovery process and their impact on latency assurance. We also developed a queuing model to analyze the relationship between parameters, acquiring parameters through experiment, and calculation of boundary values.<br></div><div>Simulation using MatLabTM software suggests that the joining period in design can increase the transmission success rate of high priority messages at the cost of a slight increment in the delay of low priority messages. Preliminary analysis suggests that by adaptively allocating the channel resources of the network to three types of tags, service efficiency can be improved. This result also guides the direction for further improvement.<br></div><div>We explored the performance of two options considered currently, which is selecting the discovery process according to modulo result of unique 16-bit tag ID and random select of an available discovery process. In the current environment where each tag does not have any information about other tags inside the network, the two methods have the same effect on avoiding collisions that could happen in a single discovery cycle.<br></div><div>The proposed MAC layer protocol can provide the best service when the available discovery process in the discovery cycle is for initialization and resetting. For an emergency, the joining period designs can still ensure a success rate for critical messages to be over 90%. Hence, the simulation results indicate the joining period method is able to improve MAC-layer performance.</div><div> <br></div>

A MAC Layer Protocol For Smart Indoor Inventory Management System

The indoor inventory system is gaining more research attention and commercial value with the development of IoT. In this thesis, we presented the design of a MAC protocol that allows synchronized transmission of location and sensing data in a wireless positioning and sensor network for an indoor inventory system. The network supports real-life industrial applications and provides a highly specific positioning method.<div>In the network, mobile sensing tags are connected to smart readers that performs localization of tags and gathers sensing data from the tags. The readers are connected to the back-end cloud. The proposed MAC serves multiple classes of mobile tags with different priorities and latency requirements. These tags transmit critical, position and sensing data with different QoS requirements. The proposed MAC is a hybrid MAC that offers contention-based period for tag discovery and scheduled period for the transmission of sensing data with guaranteed latency. We conducted simulation to evaluate the performance of different methods of discovery process and their impact on latency assurance. We also developed a queuing model to analyze the relationship between parameters, acquiring parameters through experiment, and calculation of boundary values.<br></div><div>Simulation using MatLabTM software suggests that the joining period in design can increase the transmission success rate of high priority messages at the cost of a slight increment in the delay of low priority messages. Preliminary analysis suggests that by adaptively allocating the channel resources of the network to three types of tags, service efficiency can be improved. This result also guides the direction for further improvement.<br></div><div>We explored the performance of two options considered currently, which is selecting the discovery process according to modulo result of unique 16-bit tag ID and random select of an available discovery process. In the current environment where each tag does not have any information about other tags inside the network, the two methods have the same effect on avoiding collisions that could happen in a single discovery cycle.<br></div><div>The proposed MAC layer protocol can provide the best service when the available discovery process in the discovery cycle is for initialization and resetting. For an emergency, the joining period designs can still ensure a success rate for critical messages to be over 90%. Hence, the simulation results indicate the joining period method is able to improve MAC-layer performance.</div><div> <br></div>

The Impact of Block Chain and Smart Inventory System on Supply Chain Performance at Retail Industry

Blockchain is a trending topic and would be the most significant issue for all industries, manufacturing or services. This study aims to investigate the Impact of Block Chain and Smart Inventory System on Supply Chain Performance at Retail Industry in the UAE. A quantitative research was adapted, and a survey was designed and rolled out by email to all participants. A 202 valid questionnaires were used in the statistical process in order to find out the impact of blockchain technology and smart inventory on supply chain performance in retail industry. The hypotheses testing confirmed the direct impact of blockchain technology on supply chain performance side by side with the mediator role of smart inventory in the indirect impact. The results revealed that blockchain is becoming the real time need of the retail industry and has improved the efficiency of the retail industry.

Two – Warehouse Inventory System Model for Deteriorating Items Considering Partial Upstream Trade Credit Financing

In this study, we developed an inventory system model under two – level trade credit where the supplier considers the retailer as credit risk but the retailer considers the customers as credit worthy. Therefore, the retailer is given a trade credit period on proportion of the goods ordered whenever he/she pays for proportion of the goods immediately after delivery. In the same vein, the retailer passes the same grace to the customers but without attaching any condition as the customers are assumed credit worthy. This partial upstream trade credit is offered to reduce the risk of failure in payment on the business transaction especially that most retailers are involved in bulk orders. The relevant cost functions are determined and a numerical example is given. Sensitivity analysis was carried out to see the effect of changes in parameters on the optimal solution of the model.