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2020 ◽  
Vol 8 (5) ◽  
pp. 3857-3865

The queue is one indicator of patient satisfaction at the hospital in addition to the service of getting treatment itself. Uncertainty, when patients will be served, will reduce patient satisfaction. Hospital outpatient poly enrollment services are the most numerous patient queue. Patients who come to the hospital may not necessarily get services directly because they only know the doctor's schedule and practice information after coming to the hospital. There are times when patients have to go home without getting treatment because they did not find the desired service schedule. The Ibnusina Indrapuri Aceh Hospital has a Hospital Management Information System (HMIS) application that is connected to the Health Social Security Administering Agency (Badan Penyelenggara Jaminan Sosial-BPJS) application to receive outpatient poly referral patients. The reception of outpatient registration has been done in a semi-manual way by officers where patients must come directly to the hospital. It takes a long time to input one patient's registration data, if there are many patient visits, the time for data input will be longer, causing long queues. So that registration can be done well and faster, it requires an easy way of registration that can be done by the patient himself from home without having to come directly to the hospital, which is using SMS messaging facilities. Patients will receive a reply message in the form of information on the availability of service schedules and queue numbers, patients do not need to come again to the hospital if the desired service schedule is not available. A registration model design is needed to illustrate the organization's management to be integrated into the HMIS application. The design of this registration model was created using the TOGAF framework. The use of the stages and phases contained in the TOGAF ADM framework shows results that are acceptable to the hospital management to design the architecture of the outpatient poly enrollment system at the hospital at an affordable cost and very feasible to use


2018 ◽  
Vol 7 (2.27) ◽  
pp. 122
Author(s):  
Vinayak Khajuria ◽  
Manjot Kaur

The underwater acoustic network is the type of network which is deployed under the deep sea or ocean to gather underwater information. The sensor node position estimation is a major issue of the underwater acoustic network. The process of estimating node position is called node localization. In the existing RSSI based approach for the node localization has a high delay which reduces its efficiency. The technique needs to be designed which localize a number of nodes in less amount of time. This research is based on the advancement of the range-based scheme for node localization. In the proposed scheme mobile beacons are responsible for the node localization. The beacon nodes send beacon message in the network and sensor nodes respond back with a reply message. When two beacons receive the reply of a sensor node that is considered as a localized node. The sensor nodes which are already localized will not respond back to the beacon messages which reduce delay in the network for node localization. The simulation of proposed modal is performed in MATLAB and it shows that proposed scheme performs well in terms of a number of nodes localized.  


Author(s):  
Harbir Kaur ◽  
Sanjay Batish ◽  
Arvind Kakaria

In VANET there is no centralized infrastructure due to which it is vulnerable to various security attacks . One of such attack is wormhole attack, it enables an attacker to capture packets at one location and tunnels them to another location making a wormhole in-between the legitimate nodes of the network. In this paper we proposes a method in which we use decision packets to detect the wormhole nodes in the network and for maintaining the integrity of the packets we compute hash value of each packet. The source node broadcasts the decision packet to all the nodes after receiving the route reply message from the destination node which contains the list of the route forming nodes. The decision packets from the nodes are then evaluated by the destination node based on the hop count value. If the hop count exceeds the threshold value, it means a wormhole is formed between the nodes.


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