Evaluasi Kesesuaian Penulisan Resep pada Kasus ISPA Non Pneumonia di Poli MTBS Puskesmas Kecamatan Cengkareng

Acute respiratory infections (ARI) is one of the major health problems in Indonesia. There are three classifications of cases of ARI, consist of pneumonia, severe pneumonia and non pneumonia. This study aimed to find an overview of the use of antibiotics and the evaluation of suitability prescriptions performed in cases of non pneumonia Acute Respiratory Infections (ARI) in IMCI Polyclinic, Cengkareng District Community Health Centre (Puskesmas Cengkareng), West Jakarta. Evaluation for the prescription suitability was useful to find the percentage of the suitability of prescribing on the existing management. This activity was done using retrospective method with data of 100 children patients suffered from non pneumonia cough obtained from registration book on IMCI Polyclinic during February 2016. The existing data was then matched to the patient's status and prescription books that went into the dispensary unit at second floor. Furthermore, we evaluated the suitability of the reference book titled Integrated Management Scheme for Toddler Patients/Bagan Manajemen Terpadu Balita Sakit (MTBS), issued by the Ministry of Health of the Republic of Indonesia in 2011. The results showed that the percentage of antibiotic use in the sample was 59.6%, which the most frequent antibiotic used was amoxicillin. Therefore we concluded that the prescription compliance with IMCI guidelines in Puskesmas Cengkareng at February 2016 was inadequate yet

Metode Komputasi Murah Untuk Sinkronisasi Fasa Optik Pada Optical Beamforming Networks

Optical Beamforming Networks (OBFNs) is used to optimized the received signal power in airplane-satellite communication by controlling the signal beams towards the desired direction.  The control of these OBFNs is a difficult and very complex nonlinear problem. The complexity of OBFN can be reduced by lowering the bandwidth of the modulated optical signals at its inputs. It can be achieved by performing optical single-sideband suppressed-carrier (SSB-SC) modulation. However, there is potential problem due to the fact that the phase relation between the optical carrier and the remaining sideband is lost when the group delay response is only optimized for the sideband frequency range. Optical phase synchronization is used to correct this issue by adding extra phase shifters. However, there is not any simple yet effective method to determine the value of the extra phase shifters needed for a certain OBFN. This paper propose a simple and computationally cheap feedback approximation approach to solve this problem

Pengaturan Torsi pada Hybrid Electric Vehicle (Hev) Menggunakan Metode Neuro-fuzzy Prediktif

In hybrid electric vehicle, there are two sources of energy, namely Internal Combustion Engine (ICE) and DC motor. ICE as the prime mover has a smaller capacity than conventional vehicles because of the work is assisted by the DC motor. The DC motor acts to help internal combustion engine reach the torque and the speed as desired. Torque control of hybrid electric vehicle provide of how much torque required by the DC motor to assist the performance of ICE. When the ICE are not able to maintain the speed, the DC motor will help to provide the power. To overcome these problems, neuro-fuzzy predictive methods using inverse models are used. Neuro-fuzzy controller has the advantage of adaptability when the parameters in the system change. HEV itself requires a quick response therefore predictive controller used in order to predict the future value of the torque. Testing results showed that neuro-fuzzy predictive method which combines neurofuzzy controller with inverse models, able to assist ICE follows the reference model. The use of neuro-fuzzy predictive showed better control performance. This is shown from the speed response in 0.25 seconds able to produce a torque of 0.161 N-m, so that the HEV system can follow the desired reference model