Perbandingan Prediksi Kualitas Kopi Arabika dengan Menggunakan Algoritma SGD, Random Forest dan Naive Bayes

Classification is one of the techniques that exist in data mining and is useful for grouping a data based on the attachment of the data with the sample data. The dataset that is used in this study is the coffee dataset taken from Dataset Coffee Quality Institute on the GitHub platform. The attributes that contained in the dataset are Aroma, Aftertaste, Flavor, Acidity, Balance, Body, Uniformity, Sweetness, Clean Cup, and Copper points. There are 3 classification methods that are used in this study, Stochastic Gradient Descent, Random Forest and Naive Bayes. The aim of this study is to find out which algorithm is the most effective to predict the coffee quality in the dataset. After that, the prediction results will be tested using K-Fold Cross Validation and Area Under the Curve (AUC) method. The results show that Stochastic Gradient Descent obtained the best accuracy results compared to the other two methods with an accuracy of 98% and increased to 99% after tested using K-fold Cross Validation and AUC method.

Sensory and Organoleptic Cup Attributes of Robusta Coffee (Coffea canephora Pierre ex A. Froehner)

Coffea canephora organoleptic cup attributes are the most important factors that define its price in world markets. Determining the components that contribute to the diversity of organoleptic characters will help in the improvement of these qualities in order to obtain favourable markets. Two hundred and six genotypes from twenty one districts and two research institutes were analyzed by a three member expert panel from Uganda Coffee Development Authority using a 10 point descriptive scale and protocols from, The Coffee Quality Institute of America (CQIA). The results revealed that the evaluators’ organoleptic cup trait ratings were significantly different (p< 0.05) for all attributes, reflecting a diversity of cup interests. Four multivariate groups that were significantly different for fragrance, aroma and flavour were formed offering diverse cup tests to different markets. A variety of fine and commercial flavours were detected in ripe cherry and green roasted beans. Cup balance contributed the highest regression coefficient (R2=0.90) to overall assessment while fragrance/aroma had the least (R2=0.22). The above average rating of 75% for cup balance, flavour, mouth feel, aftertaste, fragrance and aroma revealed that Ugandan Robusta coffees were of high quality with a mild taste. The higher cup acidity among land races,‘nganda’ and ‘erecta’ genotypes revealed that genotypes with high sugars and cup acidity could be selected for from local germ-plasm. Coffee types and environmental factors such as soil texture, altitude and location influenced the content and level of organoleptic cup attributes. A diversity of flavours that exist among Uganda Robusta coffee and has so far remained unexploited, would provide new marketing channels, enhance quality and earn the country the much desired foreign exchange capital.

National Perioperative Outcomes for Intrathecal Pump, Spinal Cord Stimulator, and Peripheral Nerve Stimulator Procedures

Background: There is abundant literature on the long-term complications of intrathecal pumps (ITP), spinal cord stimulators (SCS), and peripheral nerve stimulators (PNS) used in the treatment of chronic pain. There is less information, however, on the perioperative complications of these procedures. Objective: Exploration of the perioperative outcomes of implantable pain devices. Study Design: Observational study. Setting: University hospitals, community hospitals, specialty hospitals, attached surgery centers, and freestanding surgery centers Methods: Data were obtained from the National Anesthesia Clinical Outcomes Registry (NACOR) of the Anesthesia Quality Institute (AQI). Information was collected on patient demographics, procedure information, anesthetic administered, diagnosis linked to the procedure, and perioperative outcomes. Results: The search yielded 12,611 ITP, 19,276 SCS, and 15,184 PNS cases from 2010 to 2014. In this sample, the majority of procedures were performed at community hospitals, not university medical centers. The most common diagnosis cited for an ITP was an implant complication (n = 2,570), followed by spasticity, and non-malignant back pain. For SCS, the most common diagnoses were lower back pain (n = 5,515) or radiculopathy (n = 2,398). For PNS, by far the most common diagnosis related to urinary dysfunction (n = 8,745), with painful bladder syndrome a small minority (n = 133). General anesthetics were more often performed for ITP than for SCS and PNS procedures (60.6% vs. 31.8% and 32.2%, respectively). Hemodynamic instability was a common outcome (13.9% for ITP procedures); other common outcomes for all the procedures included case delays, inadequate pain control, and extended PACU stays. Limitations: Despite the large sample size in this study, not all medical centers transmit their outcome data to NACOR. Furthermore, some institutions do not report clinical outcomes for every case to NACOR, making the sample size of assessing complications smaller and potentially more biased. Finally, procedures identified in the NACOR database using CPT may be similar but not identical and therefore potentially influence outcomes. Conclusions: Databases such as NACOR can provide rich information on ITP, SCS, and PNS for physicians performing these procedures. In this sample, ITP procedures, performed on the patients with the most severe cormobidities and often-requiring general anesthesia, were the most likely to be associated with hemodynamic instability, inadequate pain control, and extended PACU stays. Complications relating to the ITP are also the most common reason for an operation. These findings underscore the importance of proper patient selection for ITP and other implantable pain devices, in particular for patients with malignant pain or multiple co-morbidities. To identify the root causes of complications, additional information is needed on the procedure performed (e.g., an implant vs a revision), the surgical technique used, and the device implanted, as well as on specific patient comorbidities. Such information will likely become more available as resources like NACOR expand and as electronic medical record systems and coding become more integrated. Key words: Perioperative outcomes of implantable pain devices, National Anesthesia Clinical Outcomes Registry, Anesthesia Quality Institute, intrathecal pumps, spinal cord stimulators, peripheral nerve stimulators

Bring Out Your Data

Recent healthcare legislation, financial pressures, and regulatory oversight have increased the need to create improved mechanisms for performance measurement, quality management tracking, and outcomes-based research. The Anesthesia Quality Institute (AQI) has established the National Anesthesia Clinical Outcomes Registry (NACOR) to support these requirements for a wide-range of customers including individual anesthesiologists, anesthesia practices, hospitals, and credentialing agencies. Concurrently, the availability of increased digital sources of healthcare data make it possible to capture massive quantities of data in a more efficient and cost-effective manner than ever before. With NACOR, AQI has established a user-friendly, automated process to effectively and efficiently collect a wide-range of anesthesia-related data directly from anesthesia practices. This review will examine the issues guiding the evolution of NACOR as well as some potential pitfalls in its growth and usage.