Reengineering Cracker-Dryer Machine Based on Fan speed and Temperature Considering Drying Time, Final Weight and Energy Consumption Factor

Redesign and building a cracker drying machine should give priority to several factors to find the optimal point, one of which is by conducting experimental experiments. This research was carried out to find out from the tool and also pay attention to several things, such as temperature and fan speed. If one of these factors is ignored, it will not produce dry crackers and the dried crackers are less than optimal. The Independent parameters used in this research are temperature and fan speed. Dependent parameters used in this research are concerning drying time, final weight, and energy consumption. Design experiment using Factorial 3x3. Fan speed has 3 levels, they are 1000rpm, 1500rpm and 2000rpm. The Temperature parameter has 3 levels, they are 16, 19, and 21oC. Based on the design of experiment results, it was found that the drying time response for the combination that has the highest ranking is at a temperature of 19oC with a 2000rpm fan speed resulting in a drying time of 182,677 minutes.

The effect of implementing information systems on MS Glow

Ms Glow is a company engaged in the beauty sector. Ms Glow is a local brand that presents a series of skincare, especially for Indonesian women, which was founded in 2013. Technology is growing very fast as is online sales. This Ms Glow Information System was designed to serve as a promotional medium for Ms Glow and to simplify the online buying and selling transaction process. The design of promotional media also considers the factors that can affect the target market and target audience, so that the desires of potential customers can be identified. The website created can display complete and clear information and contain transaction reports, which sometimes errors occur when processing data. Ms Glow's Information System is a website that makes it easy for shop owners and consumers to make sales transactions, purchase goods and report data. Using easy-to-read fonts, attractive photo images, and choosing the right color. This system is created using the PHP programming language with the MySQL database for data storage. The result of this system is that it can process product information, such as: managing user data, category data, goods data, and the process of purchasing goods transactions. Through this website, it is hoped that Ms Glow as previously mentioned can be implemented and improved

Mangrove Vegetation Mapping Using Sentinel-2A Imagery Based on Google Earth Engine Cloud Computing Platform

Mangroves are trees whose habitat is affected by tides, and their presence has decreased from year to year. Today, mapping technology has undergone many developments, including the availability of images of various resolutions and cloud-based image processing. One of the popular platforms today is the Google Earth Engine. Google Earth Engine is a cloud-based platform that makes it easy to access high-performance computing resources for extensive processing. The advantage of using Google Earth Engine is that users do not have to be IT experts without experts in application development, WEB programming, and HTML. This study aims to conduct a study on mangrove mapping in Gili Genting District with Sentinel-2A imagery using a Google Earth Engine. This location was chosen since there are still many mangroves, especially on the Gili Raja and Gili Genting Islands. From this research, it can be concluded that cloud computing-based Sentinel-2A image processing shows that the vegetation value of NDVI results ranges from -0.923208 to 0.75579. The classification results show that mangrove forests' overall presence on Gili Genting Island is more expansive than Gili Raja Island with 16.74 ha and 14.75 ha. The use of the Google Earth Engine platform simplifies the analysis process because image processing can be done once with various scripts so that analysis becomes faster.

Contribution of Public e-Procurement to Sustainable Development Goals in Indonesia: Systematic Literature Review

The Sustainable Development Goals have become the UN's global goals in the 2015 to 2030 time frame. To achieve these goals, Indonesia has designated a National Roadmap for Sustainable Development Goals in Presidential Regulation Number 59 of 2017. The Presidential Regulation serves as a guideline for Ministries or Agencies in National Actions Plans on Sustainable Development Goals in their respective domains. Including in the Public Procurement of Goods/Services has been fostered to increase sustainable procurement. This Systematic Literature Review has been looking for research evidence to reveal the contribution of e-procurement in the Sustainable Development Goals in Indonesia for the last decade. The evidence has been systematically collected by following the SLR protocol from the indexing Portal Garuda (Garba Rujukan Digital) specific for published articles in Indonesia. Meanwhile, the international research on sustainable procurement has been ongoing since 2001; the review here shows that there has not been much research on sustainable procurement in Indonesia. The results of this review offer a future research agenda for sustainable procurement in Indonesia.

BUS TICKET BOOKING INFORMATION SYSTEM

This article was written during the covid pandemic, during a pandemic like this one's mobility is being limited. So that it has a big impact on activities that are usually carried out, including the case in the field of transportation. In this case, people tend to reduce being outside their homes and also avoid crowds to minimize exposure to the Covid-19 virus. This also affects the sale of vehicle tickets from various aspects ranging from air, land and sea. To overcome this problem, a bus ticket booking website was created. With this bus ticket booking website, tickets can be purchased without having to come directly to the ticket sales outlet. Buyers can buy tickets via smartphones or laptops by accessing this bus ticket booking website. Not only simplifying the ticket buying process, it can also help reduce the crowds that could be generated in the process of buying and selling tickets. So that the existence of a bus ticket booking website is expected to help reduce the number of people exposed to the corona virus as well as simplify and shorten transactions made by buyers.

Feature Selection and K-nearest Neighbor for Diagnosis Cow Disease

The large number of cattle population that exists can increase the potential for developing cow disease. Lack of knowledge about various kinds of cattle diseases and their handling solutions is one of the causes of decreasing cow productivity. The aim of this research is to classify cattle disease quickly and accurately to assist cattle breeders in accelerating detection and handling of cattle disease. This study uses K-Nearest Neighbour (KNN) classification method with the F-Score feature selection. The KNN method is used for disease classification based on the distance between training data and test data, while F-Score feature selection is used to reduce the attribute dimensions in order to obtain the relevant attributes. The data set used was data on cattle disease in Madura with a total of 350 data consisting of 21 features and 7 classes. Data were broken down using K-fold Cross Validation using k = 5. Based on the test results, the best accuracy was obtained with the number of features = 18 and KNN (k = 3) which resulted in an accuracy of 94.28571, a recall of 0.942857 and a precision of 0.942857.

Network Security Analysis and Bandwidth Management

Computer network users have to spend a lot of money to use the Internet. The Internet has given a very big change in the dissemination of information, so that many people are using data through the Internet. This problem can be solved by MikroTik as a regulator of Internet data traffic and limiting bandwidth that can interfere with computer network activities in accordance with the regulations that have been applied. As a result of not being limited in bandwidth, it causes an overload on a network which has an impact on disrupting internet traffic on that network. Each agency should implement bandwidth restrictions according to the needs of users using the internet. Result from this research is not being limited in bandwidth, it causes an overload on a network which has an impact on disrupting internet traffic on that network. Each agency should implement bandwidth restrictions according to the needs of users using the internet.

Image Classification of Beef and Pork Using Convolutional Neural Network in Keras Framework

Beef is a food ingredient that has a high selling value. Such high prices make some people manipulate sales in markets or other shopping venues, such as mixing beef and pork. The difference between pork and beef is actually from the color and texture of the meat. However, many people do not understand these differences yet. In addition to socialization related to understanding the differences between the two types of meat, another solution is to create a technology that can recognize and differentiate pork and beef. That is what underlies this research to build a system that can classify the two types of meat. Convolutional Neural Network (CNN) is one of the Deep Learning methods and the development of Artificial Intelligence science that can be applied to classify images. Several regularization techniques include Dropout, L2, and Max-Norm were applied to the model and compared to obtain the best classification results and may predict new data accurately. It has known that the highest accuracy of 97.56% obtained from the CNN model by applying the Dropout technique using 0.7 supported by hyperparameters such as Adam's optimizer, 128 neurons in the fully connected layer, ReLu activation function, and 3 fully connected layers. The reason that also underlies the selection of the model is the low error rate of the model, which is only 0.111.Keywords: Beef and Pork, Model, Classification, CNN

Effect of Dredging Rate, Sintering Time, Cooling Media on Corrosion Results of Carbon Steel Dredging

Metal reinforcement that has an impact on improving mechanical properties can occur in various ways, including by strain hardening mechanisms, solid solutions, second phase, prespitations, disperse, grain refinement and texture. In recent years, another method has been developed to obtain good mechanical properties without adding alloy elements, namely by the method of comprehensive plastic deformation (Severe Plastic Deformation). The purpose of this research is to conduct a study of rolling using medium carbon steel with a treatment temperature above recrystallization, rolling rate, sintering time, cooling media as an effort to develop and design new innovations about steel structures being rolled. The study of developing rolling techniques that can be applied in industry and can be applied as learning material / media in higher education requires structured research stages. The best impact value from this temper process is a temperature of 550 ° C for 1 hour where the impact value is 1.58 J / mm² with air conditioning media. In the rolling process above the recrystallization temperature 800 ° C deformation 20% the impact value is 1.7 J / mm² where the toughness indicates a ductile fracture while the deformation is 10% the impact value

IBSI Education “SIWESI” Quality Measurement Based on System Technical Viewpoint

The need for information systems is increasing every year. The information system of an organization or company is useful for managing data to produce useful and effective information that supports activities and all levels of management that use it. The aspect of software quality is one of the important things in the development of a software. To determine the quality of software products, a measurement is needed. IBSI Education, one of which is a Tutoring Institution that uses “SiWeSi” to support administration, view schedules, see student progress, and so on. The success of the software that is built is based on whether or not the software works according to the objectives to be achieved. In the scientific concept of software engineering, the success of software is not only seen from the suitability of the resulting product to existing needs. The success of the software is also seen from the software development process. This study uses the McCall quality model because this method fulfills many components of the assessment and looks at quality from the user's point of view. The quality model used to measure the quality of SIWESI is determined from the results of the literature study.