Pengaruh Pajak Restoran Terhadap Penerimaan Pad Pada Pemerintahan Daerah Kabupaten Rokan Hulu

This study aims to determine whether the effect on the restaurant tax revenues in localgovernment districts PAD rokan upstream . This type of research is descriptive research is one way tostudy with a portrait and interpret an object to the fact that there is no exaggeration . the type of data isquantitative data and data sources is Data Secondary.From the calculation above , it can be concluded that there is a negative relationship or in astatistical technique is said to have a relationship that is nil , when the rise of the variables that sometimesaccompanied the fall of the value of other variables , and sometimes followed by a rise in the value ofother variables . by the following equation Y = -0.26 + 4.1 X. From the above calculations can be in theknow t counted 0.33 and t table by 3.18 . because thitung smaller than ttable it can be concluded nosignificant difference between the restaurant tax to revenue ( PAD )

Inoculums Preparation and Detoxification Process in Monascus Fermented Rice Production

Monascus fermented rice (MFR), or angkak are well known for their ability to produce Monacolin K, a statin compound that potential as a cholesterol-lowering agent. The objective of the research is to study the inoculum preparation and detoxification process in MFR production. In this study, the inoculum was prepared by cultivated M. purpureus HD001 in YMP, YES, and MSG medium. Rice was inoculated with 10% of inoculum and incubated at 30oC, for 14 days. The growth rate and moisture content of MFR were evaluated in the period from 0 to 14th day. The dried MFR was extracted with ethanol 95%, and the ratio of Monacolin K/citrinin was estimated by measuring the absorbances of extract at λ238 (Monacolin K) and λ500 (citrinin). MFR was detoxified by 0.1% v/v of H2O2, at room temperature for one hour. Monacolin K and citrinin content in MFR extract was analyzed by HPLC. Results showed that the growth of Monascus purpureus HD001 on rice which inoculated by MSG inoculum was faster than YES and YMP inoculum. Maximum growth of M.purpureus occurs on the 8th day. The highest moisture content also enerated by MFR which inoculated by MSG inoculum. Maximum absorbance of Monacolin K (l238) of MFR which inoculated by MSG inoculum was obtained on the 8th day. HPLC data showed that detoxification of MFR with 0.1% H2O2 was able to reduce citrinin 58.45% and Monacolin K 22.04%. After treatment with 0.1% H2O2, ratio of Monacolin K/citrinin in MFR samples was increased 1.87 times when compared to before treatment

Design of measuring flow velocity device for liquid fluid with venturi meter principles based on Arduino

Fluid flow velocity in physics can be found on the principle of venturi meter. The Fluid flow concept is easy to understand if visualized. We need a learning media of fluid velocity, so the concept can understanding. Design of this tool aims to help students understand the fluid flow velocity. Data is taken automatically by Arduino-based water flow sensor, with speed change at the speed knop. Based on the design result of the tool which can be obtained by measuring the fluid flow velocity at a speed greater than 0.36 m/s, and proved by graph analysis logarithmic between velocity values of magnitude theory (Vtheory = 0.5x + 0.7934 m/s ) and tool speed (Vtool = 0.5825x + 1.129 m/s). The speed difference between the theory and the tool indicates the magnitude of the frictional speed due to the turbulent flow. So it can be concluded the design of this tool can be used as a learning media  to help students in understanding the topic of fluid

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe

Pembuatan Briket Campuran Arang Ampas Tebu dan Tempurung Kelapa sebagai Bahan Bakar Alternatif

Pemanfaatan ampas tebu dan tempurung kelapa sebagai bahan baku utama pembuatan briket memiliki potensi besar sebagai bahan bakar alternatif. Briket merupakan arang dengan bentuk tertentu yang dihasilkan melalui proses pemampatan dengan penambahan sejumlah perekat tertentu. Pemanfaatan briket sebagai bahan bakar mampu menghasilkan kalor dengan sedikit asap. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh komposisi arang ampas tebu dan arang tempurung kelapa serta jenis perekat terhadap karakteristik briket. Variabel yang digunakan pada penelitian ini yaitu rasio massa arang ampas tebu terhadap arang tempurung kelapa (100:0, 50:50, 30:70 dan 0:100) dan jenis perekat briket (tepung tapioka atau tepung sagu). Tahapan penelitian pembuatan briket ini meliputi persiapan bahan baku, karbonisasi, pembriketan dan analisa produk. Hasil penelitian ini menunjukkan bahwa karakteristik briket terbaik terdapat pada briket dengan perekat tepung tapioka dan komposisi arang ampas tebu terhadap arang tempurung kelapa 30:70. Karakteristik briket tersebut memiliki nilai kadar air sebesar 6,93%, kadar abu 3,50%, kadar zat menguap 24,75%, kadar karbon terikat 64,82% dan nilai kalor sebesar 5995 kal/g.The utilization of bagasse and coconut shells as the main raw materials for making briquettes has great potential as alternative fuels. Briquettes are charcoal with a certain shape which is produced through a compression process with the addition of a certain amount of adhesive. The utilization of briquettes as fuel is able to produce heat with less smoke. The purpose of this study was to determine the effect of the bagasse charcoal and coconut shell charcoal composition and the adhesive type on the characteristics of briquettes. The variables used in this study were the mass ratio of bagasse charcoal to coconut shell charcoal (100:0, 50:50, 30:70 and 0:100) and the type of briquette adhesive (tapioca flour or sago flour). The research stages of making briquettes include raw material preparation, carbonization, briquetting and product analysis. The results of this study indicated that the best characteristics of briquettes were found in briquettes with tapioca flour adhesive and the composition of bagasse charcoal to coconut shell charcoal 30:70. The characteristics of these briquettes had a water content value of 6.93%, ash content of 3.50%, volatile matter content of 24.75%, fixed carbon content of 64.82% and calorific value of 5995 cal/g

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical science. © The Author(s) 2019. Published by Oxford University Press