Room and Laboratory Equipment Lending Based On Smartphone Application Using QR Code Technology

The main problem in this research is dependency lab activities on the presence of a technician and complicated administrative process which take five procedure stages of lending at D3 and D4 Electronic Engineering polban. This research aims to create an equipment that is able to eliminate the dependency of the presence of technician, and to reduce the complicated administrative process. The QR code technology is the method used in this research to control the opening of lab doors and equipment cupboards by scanning the QR code with a mobile application. The result of this research show that the procedure borrowing of equipment facilities can be shortened from five procedurals to three procedurals. The QR Code information is able open the door of the room and laboratory cabinets by inputing password that been set at the database and able to borrow equipment that is integrated with the automatic recording of borrowing equipment.

Helpdesk Ticketing Information System Based on Android at Communication and Information Department of Badung Regency

In the operational activities of Diskominfo at Badung Regency, there are often reports of service problems every day. Currently, the reporting of these problems is still done in person via telephone or short message, which affects the speed of handling the report. The complaint system is a solution to problems related to reporting and handling of these service problems. In this study, a mobile application-based complaint system will be developed for the client-side to make it easier for clients to report or respond to reports and for the server-side, it will be developed on a web-based basis to still facilitate the management of complaint data. This study uses Data Flow Diagrams to model the process and Entity Relationship Diagrams to model its database. The evaluation process is carried out using the black box testing method and usability evaluation using SEQ and SUS. The system that has been successfully developed is able to carry out the main processes related to adding reports, viewing report progress, verifying reports, following up on reports, and changing report status. Testing using the black box testing method on 7 test classes with 74 test scenarios to get 74 valid test scenarios. Testing the installation and use of applications on 3 types of smartphones has also been successfully carried out without any problems. Usability testing on users using SEQ gets a middle value of 6 (for Administrator and IT Staff) and 7 (for Verification), which shows that the application developed is easy to use by the user, with the results of the SUS the questionnaire, the user shows that the application is in the Excellent class with an average value obtained from 15 respondents of 80.5.

Implementation and Evaluation of Accounting Information Systems in Manufacturing Company Using System Usability Scale

Information systems can facilitate business actors to control and evaluate business reporting effectively and efficiently. Anugrah Sri Jaya is a business engaged in manufacturing. This company still uses a manual recording system which causes several problems, namely frequent errors in calculations and mismatch of inventory stock records with actual conditions. Therefore, the researcher proposes to implement an information system in the accounting process at Anugrah Sri Jaya. From the results of the study, researchers have succeeded in building a web-based accounting information system at Anugrah Srijaya. Information system testing uses the System Usability Scale (SUS) method where the test uses a questionnaire as an assessor and the number of responses is 5 respondents where the respondents from this study are business owners and several employees who will later use this system. From the results of the tests carried out, it can be seen that the average score obtained from the calculation of the System Usability Scale (SUS) is 74.5. Based on the results of the average score, this system can be said to be in the category of acceptance (Acceptable) and on the adjective rating scale, the information system built is rated as excellent.

Residual Neural Network Model for Detecting Waste Disposing Action in Images

Waste in general has become a major problem for people around the world. Evidence internationally shows that everyone, or nearly everyone, admits to polluting at some point, with the majority of people littering at least occasionally. This research wants to overcome these problems, by utilizing computer vision and deep learning approaches. This research was conducted to detect the actions carried out by humans in the activities/actions of disposing of waste in an image. This is useful to provide better information for research on better waste disposal behavior than before. We use a Convolutional Neural Network model with a Residual Neural Network architecture to detect the types of activities that objects perform in an image. The result is an artificial neural network model that can label the activities that occur in the input image (scene recognition). This model has been able to carry out the recognition process with an accuracy of 88% with an F1-Score of 0.87.

DESIGN FIBER TO THE HOME GIGABIT PASSIVE OPTICAL NETWORK UDAYANA UNIVERSITY, SUDIRMAN CAMPUS

To find out the need for fiber optic access network devices from NOC to rooms at Udayana University, Sudirman Campus, fiber to the home network design was made with Gigabit Passive Optical Network (GPON) technology. Selection of GPON technology to reduce the number of ports on OLT and the number of fiber cores compared to the existing technology using point to point. Assuming the bitrate in each room is 21 Mbps and 291 rooms to be served, it takes 5 OLT ports on the NOC. Feeder Cable Network consists of 5 cores distributed to each location using 3 units of 1: 4 splitter, 4 units of 1: 8 splitter, 6 units of 1:16 splitter, 1:32 splitter of 6 units. To maintain service quality, 16 amplifiers are needed. The required fiber cable length is 2.5 km. The quality of service is tested using the Optisystem simulator. The result is that at the closest distance the PRx value is -14.059 dBm, with BER 6.13608 e-103, Q Factor 21.511. Meanwhile, at the farthest distance, the PRx value is -14.105 dBm, with BER of 1.52751 e-120, and Q Factor 23.3159. The results obtained still meet the ITU-T G.984.2 standard

Automatic Cigarette Object Concealment in Video using R-CNN

Cigarettes are packaged processed tobacco products, produced from the Nicotiana Tabacum, Nicotiana Rustica plants and other species or synthetics that contain nicotine with or without additives. Smoking is known to the public as one of the causes of death in the world that is quite large such as asthma, lung infections, oral cancer, throat cancer, lung cancer, heart attacks, strokes, dementia, erectile dysfunction (impotence), and so on. This research aims to build an application that can recognize cigarettes automatically and conceal pictures so that people especially minors are not affected by cigarettes. The application is built using the Region-based Convolutional Neural Network (R-CNN) method. The study uses images that have cigarette objects in them. The test is carried out to find out the application performance such as the level of application accuracy in recognizing cigarette objects. Based on the test results with a sample of 126 cigarette images, the application built is able to recognize cigarette objects by obtaining an accuracy value of 63%.

Analysis Evaluation Management Information System Audit Internal Quality

Information systems are very important in this globalization era. Information systems generally can be used as a reference for decision making or to monitor the progress of an activity process. In high education, information systems are no less important than information systems within the company. Higher education is an institution that uses information systems to monitor work systems to improve quality. Higher Education Institute STMIK STIKOM Indonesia has implemented an internal quality assurance system (SPMI). An example of its application is by carrying out an internal quality audit (AMI). To ensure the quality of the application meets the standards and needs of the user, it can be done by performing software testing based on the ISO 25010 standard.

The Development of Solar PV Car to Reduce Carbon Emissions from Transport Sector

Global warming is contributed by human activities in many sectors. The sector that contributes significantly to generating carbon emissions is transportation sector. An effort to reduce carbon emissions is by utilizing PV panels on vehicle’s body surface. This paper reviews the development of vehicle-mounted PV panels around the world. The review covers technical specifications, manufacturer, and function of the PV panel on the vehicle. The objective is to get insight on the current development of vehicle with PV panels. The information presented in this paper is expected to provide updates for stakeholders in the field of renewable energy and land transportation in Indonesia. Also, this information can be used as a reference for further research on vehicle with PV panels both in Indonesia or elsewhere that are developing future environmentally-friendly vehicle. The result is a database consists of 948 vehicle which has solar PV around the body of the vehicle. 936 vehicles or about 99% were made for solar car race and only 1% for commercial and prototype. The solar PV system serves as a main or auxiliary power supply of the vehicle depending on whether they are hybrid or fully electric cars.

Status of Battery in Indonesia to Support Application of Solar PV with Energy Storage

Indonesia plans to build solar PV plants to reach 6500 MW capacity by 2025. One of the solar PV applications is systems with battery storage systems. In this system, the battery is an important component of the solar PV system as it stores the energy for use when the sun is unavailable. This article reviews the status of batteries in Indonesia to support the proliferation of solar PV applications. The objective is to compile a battery database for solar PV applications. The database provides insight into technology and the availability of batteries. The database consists of 361 batteries of various technologies such as FLA, VRLA, VRLA gel, VRLA AGM, and Lithium-ion. The most widely available is the VRLA gel. In terms of voltage, batteries are available at 2 to 12 volts and with capacity from 1 to 3000 Ah. The availability of batteries shows that this field is ready to support the development of solar PV with energy storage although the field of battery recycling or its waste management requires more attention.

Analysis of Twitter Users Sentiment against the Covid-19 Outbreak Using the Backpropagation Method with Adam Optimization

This research tries to take advantage of Twitter by analyzing Indonesian-language tweets that discuss the Covid-19 virus outbreak to find out what Twitter users think about the Covid-19 virus outbreak. This study tries to analyze sentiment to see opinions on Covid-19 tweets that contains Posittive, Negative or Neutral sentiments using Multi-layer Perceptron (MLP) using Backprogragation with Adam optimization. We collected 200 documents (tweets) in Indonesian about Covid-19 that were tweeted since November 2019 and then trained them to get our MLP Backpropagation model. Our model managed to get an accuracy of up to 70% with f1-scores for positive, negative, and neutral classes respectively 0.77, 0.75, and 0.5 from a maximum value of 1. This shows that our model is quite successful in carrying out the sentiment classification process for Indonesian tweets with the Covid-19 theme.