An extraordinary outbreak of pneumonia in Wuhan City, China, was subsequently termed as COVID-19 emerged in December 2019. The virus is also known as an infectious disease inherited from a novel coronavirus. This study exposed the beginning of the unprecedented COVID-19 confirmed cases spike exponentially in the United States and 200 countries globally. Epidemiologists usually utilize conventional spread prediction via the classic clustering method. A suspected patient is likely to blow out the disease to a potential agglomerative of cases grouped in place and time. In the era of cutting edge, outbreak prediction can also generate accurate techniques to utilize unsupervised machine learning methods. We apply two prominent unsupervised learning methods, namely K-means clustering and correlation on a set Coronavirus Outbreak COVID-19 data collection dated March 27 and August 16, 2020. The K-means automatically search for unknown clusters of many countries infected with the COVID-19 rapidly. It shows that a group of m=5 produces an accuracy of about 97% with [The United States and Italy],

Rendahnya area sweep efficiency selama waterflooding merupakan salah satu masalah dalam meningkatkan produksi minyak. Sweep efficiency waterflood  kurang efektif dikarenakan permeabilitas air yang besar di batuan. Viskositas air bisa meningkat jika menambahkan polimer pada air sehingga bisa mengurangi permeabilitas air dibatuan. Injeksi polimer cukup menjanjikan untuk meningkatkan produksi minyak. Biopolimer merupakan salah satu jenis polimer yang berasal dari mahkluk hidup dengan komponen utama penyusunnya adalah karbohidrat. Bahan yang sering dijadikan biopolimer dan terdapat banyak di alam adalah polisakarida. Untuk mendapatkan polisakarida maka dilakukan ekstraksi pada bahan yang digunakan. Ekstraksi yang digunakan memiliki banyak jenis yang akan mempengaruhi biopolimer yang terbentuk. Pada review ini, berbagai aspek biopolimer dibahas mulai dari sumber biopolimer, jenis ekstraksi, dan serta uji reologi biopolimer.

The declining in production can occur because wells that have been producing for a long time are no longer able to lift oil to the surface in primary and secondary ways. Therefore, tertiary methods such as chemical injection like polymer flooding were carried out. Polymers commonly used in flooding polymers are divided into three namely synthetic polymers, biopolymers, and natural polymers. Natural polymers have abundant sources such as seaweed and grass jelly. This study was aimed to identify alternative renewable polymers as flooding polymer materials by knowing initial characteristics such as viscosity, compatibility and the effect of shear rates. This test wass carried out by an experimental method with several stages, namely drying, crushing to powder, and making polymers that were dissolved into brines that have different salinity. Then the polymer was allowed to stand for more than 24 hours until it was tested. The material tested was seaweed, grass jelly, and biopolymer xanthan gum as a comparison. The parameters used are polymer concentrations of 1000 ppm, 2000 ppm and 3000 ppm with each salinity of 3000 ppm, 9000 ppm and 15000 ppm. The test results showed that the characteristics of natural polymers were the same as biopolymers, the viscosity decreased as the brines salinity increased .The absence of sedimentation resulted from Seaweed and grass jelly  solution and formation water indicated that the polymers had good compatibility and  shear rate test has shown that the polymers are psuodoplastic.

There is unbalance the amount of blood demand and the availability of blood for each component at Blood Transfusion Unit in Indonesia. As the result, this component run into inventory shortage so management need to maintain the strategy of blood supply chain for the patients. Purpose of this is to manage inventory on the blood component of Packed Red Cells which it to be the highest blood component requirement for patient in this case study. Managing inventory is done through several stages including forecasting method, safety stock, and reorder point. Finding of this study was obtained that exponential smoothing (α 0.95) to be the best forecasting method. Then, to manage inventory, this agency need to prepared 34 blood bags for safety stock and 76 blood bags for reorder point. This results able to give recommendation to the Blood Transfusion Unit at Indonesia regarding with the number of blood component provided and how much reorder to be made at the time of reaching the lead time. Further study is suggested to conduct simulation method in order to evaluate policy in managing blood inventory and prepare scenario for optimizing inventory level.

Purpose Nowadays, the Good Manufacturing Practice (GMP) in Indonesia with the product’s need for halal certification is limited. The purpose of this paper is to measure the integrated framework of Halal Good Manufacturing Practices (HGMP) in small and medium-sized enterprises (SMEs) and to discover the effect of its performance in the food sector. Design/methodology/approach This research conducted focus group discussion in 2 locations with 8 experts and 73 SMEs in the food sector at 2 Indonesian Government agencies. Findings The study indicated 6 variables and 40 indicators on HGMP and its implementation in each agency. Two agencies in this research were categorized as poor, which indicated the need to increase the implementation of HGMP. For the SMEs’ business process policy, there were significantly different variables in the building, employee, storage and maintenance. Research limitations/implications The implementation of the HGMP is examined in this research based on government regulation. It has not been thoroughly tested based on consumer responses. Furthermore, it can consider consumer satisfaction in the halal framework of GMP. Practical implications Government agencies in Indonesia can measure the implementation of HGMP in food sector SMEs and guide SMEs to achieve halal quality standards. Originality/value This research provides an integrated framework for measuring HGMP in SMEs guided by the Indonesian Government’s agency in meeting the standard of halal products.

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One of the methods used to optimize oil production is biopolymer injection. In this study, nanocellulose from cotton leaves was made into a biopolymer by combining the cotton leaf synthesis method with ascorbic acid, then sonified and hydrolyzed using ethanol. SEM and FTIR tests were carried out to see the size and chemical structure. The rheology of KLNC biopolymer was compared with the bipolymer from Xanthan Gum. The salinity and compatibility tests were carried out at various concentrations, as well as knowing the resistance of the biopolymer at reservoir temperature. The results of this study, the morphological shape of KLNC shows that the extraction process does not damage the surface structure. With the same concentration, KLNC biopolymer had a higher viscosity compared to Xanthan Gum biopolymer. KLNC biopolymer is more resistant to salinity and thermal than Xanthan Gum. So that KLNC Biopolymer has the potential to be further developed and researched.

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