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This study compares the accuracy of forecasting using ANFIS and Fuzzy Time Series the number of Australian tourists to Bali. The data used in this study are data on the number of Australia tourists visit to Bali from the period January 2006 through December 2011. ANFIS consists of two stages of learning and testing phases. Least Squares Estimator is used to study the forward direction and Error Back Propagation learning is used in the reverse direction. Forecasting with Fuzzy Time Series is forecast to capture the pattern of previous data is then used to project the data to come. The results of comparison of both methods showed that the ANFIS method has a higher forecasting accuracy than the method of Fuzzy Time Series. Forecasting by using ANFIS method obtained AFER aqual to 9,26% while the prediction using the method of Fuzzy Time Series obtained AFER aqual to 14,02%

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Background: Complications microangiopathy in the field of nerves resulting from diabetes mellitus is diabetic neuropathy. Patients with diabetes mellitus with blood glucose levels that are not regulated well have a 25.6% risk of developing neuropathy. Neuropathy can be diagnosed clinically, the presence of complaints such as numbness, tingling, or burning in the distal extremity, but almost half of patients are asymptomatic, other methods to determine the presence of neuropathy are questionnaires and electrodiagnostic examinations which are the gold standard. The purpose of this study was to find the relationship between the amplitude of nerve conduction velocity (NCV) with controlled and uncontrolled diabetes mellitus based on HBA1c in patients with peripheral diabetic polyneuropathy at Sanglah Hospital. Method: This study was conducted with a case-control analytic design at Sanglah Hospital by taking data retrospectively where patient data were directly taken from January 2021-October 31 2021 Results: There were 40 research subjects where 20 subjects with controlled DM and 20 subjects with uncontrolled DM, 62.5% men, with an age range of 50-60 years, BMI obesity, duration of diagnosis > 3 years where the results obtained were peripheral polyneuropathy conditions. with the results of NCV only found a significant difference in CMAP N Median with p 0.026 and in SNAP with p = 0.035 in SNAP Conclusion: All patients have the result of decreased function of NCV with the highest risk if it is not controlled with HBA1C levels < 7%, there will be the greatest decrease in NCV motor and sensory N. radialis. Keywords: diabetes mellitus, CMAP, HBA1C, NCV, SNAP.

Background. Amyotrophic lateral sclerosis (ALS) is a one of motor neurons disease. The Incidents in Europe are 2.6 per 100,000 people per year and in the United States, more than 5,600 are diagnosed each year. The death was reportedly 2 per 100,000 people per year. In Sanglah Hospital there are no study that described the characteristics clinical and neurophysiology of ALS at Sanglah Hospital. Objective. To find the characteristics of ALS based on clinical and neurophysiology of ALS at Sanglah Hospital in terms of demography, clinical, Nerve Conduction Studies (NCS) and Electromyography (EMG). Methods. Retrospective descriptive study using medical records of patients in neurology polyclinic at Sanglah Hospital from January until December, 2018. Results. From 14 ALS patients with average age of 47 years old, men and women same amount, high school 71.4%, unemployed 50 %, and married 92.8%. Symptoms first appeared with an average age of 42 years with complaints of lower limb weakness 64.3%. The diagnosis of ALS with the symptom UMN and LMN on bulbar and 2 spinal region 71.4%, and symptom with the UMN and LMN on 3 spinal region 28.6%. Results of motor and sensory NCS were normal, type axonal and mixed neuropathy. Characteristics of EMG were PSW +4, fibrillation +4, MUAP: high amplitude (giant potential), widened duration, polyphasic phase, incomplete IP recruitment in all patients (100%) although in different muscles of the examined patient. Conclusions. Characteristics from 14 patients ALS in 2018 at Sanglah Hospital indicate that patients have a good prognosis.