International Journal of Software Engineering and Informatics

Analysis Of Gsm (Global System For Mobile) Work System On Gsm Pos Protocol (Product Of Automatic Feed Catfish Pond Monitoring Tool Based On Global System For Mobile)

2023-04-06T03:18:40+00:00

Water quality is one of the important factors for a person's success in conducting fishery cultivation. Water content that is too acidic or alkaline, turbidity level, and water temperature that is too high can cause fish death. In addition, fish must be fed regularly and on time. Therefore, a tool was created that functions to automatically feed and control or maintain pond water quality to prevent death in fish, namely the GSM POS PROTOCOL (Global System for Mobile-Based Automatic Feeding Catfish Pond Monitoring Tool Product). The GSM POS PROTOCOL requires components in the form of an RTC (Real Time Clock) sensor, a water ph sensor, a turbidity or turbidity sensor, and a temperature sensor to obtain water quality report data. Apart from sensors, this tool requires a GSM to send messages and an LCD (Liquid Crystal Display) as a screen to display water quality information. Based on the test results, this tool reads the pH of pool water with a value of 7.09-8.07, a temperature of 25.06°C-26.73°C, a turbidity level of 6NTUs-40NTUs, and has a message-sending delay rate with an average of 18.17 seconds. It can be concluded that this tool has a fairly high level of accuracy, and the fish feed works according to the commands entered in the program.

Freight Forwarding Information System Audit Using IT-IL Version 3 (Case Study : PT. JNE Express Kotabumi North Lampung)

2023-04-04T02:17:28+00:00

A freight Forwarding Information System in a company engaged in logistics delivery services is very important in supporting the business competition. The Freight Forwarding System aims to increase effectiveness and efficiency in the process of shipping goods. In this study, an analysis of the freight forwarding information system at PT. JNE Express Kotabumi Lampung Utara uses Framework Information Technology Infrastructure Library (IT-IL) Version 3 with the domain Service Operation (Event Management, Incident Management, Problem Management, Request Fulfillment, Access Management) with a Maturity Level process which aims to determine the maturity level of the goods delivery system at PT. JNE Express Kotabumi North Lampung. This research resulted in a maturity level with an average of 4.25 being at level 4 (Managed and Measurable) which means the maturity level of PT. JNE Express Kotabumi has been well managed.

Decision Support System In Determining The Topic Of The Final Project, Supervisors, And Case Study Students Of The Faculty Of Information Technology, Aisyah Pringsewu University With The Exponential Comparison Method (Mpe)

2023-04-04T02:17:28+00:00

Abstract-information technology does bring a lot of convenience that can be experienced in human life. An example of the era of information technology is the introduction of computers in people's lives. The computer is now considered as a device that provides many benefits that are inseparable from human life. In every company or institution, data processing is done with a computer. Therefore, computers can be used as aspects of supporting good and right decision making to make decisions. So that the research work that the authors do refers to the application of the exponential comparison method (MPE) in determining the topic of the final project, lecturers and students of the Department of Information Technology at Aisyah Pringsewu University aims to make decisions in the selection of the final project topic, lecturers and students according to the criteria at Aisyah Pringsewu University. A Decision Support System (SPK) is needed to find the value of student topics from each criterion identified by Aisyah Pringsewu University for the decision-making process. Applying the exponential comparison method (MPE) by using the criteria set by the campus, namely registering as an active student, completing a minimum of 100 credits, conducting research and writing final project discussions. The final project topic selection decision support system, lecturers and students was built by the author using PHP programming language and using MySQL database running on Windows operating system.

The Market Basket Analysis In Sales Transactions With Apriori Algorithm

2023-04-10T06:02:27+00:00

The company's biggest challenge today is how to extract significant data into information that is ready to be used to assist in making decisions and increasing sales. One way to get this knowledge is by doing data mining. In this study, the authors studied vitamin sales transaction data at Viva Health Duku Setro Pharmacy using the association rule method to find association rules from sales transaction data. The algorithm used is the Apriori algorithm. This algorithm is used to find the rules of association using the Rapidminer software tool version 8. The association rules in the A priori algorithm will be used as a reference in determining the goods to be promoted with cross-selling marketing strategies and product bundling marketing techniques. The result of this study is that the a priori algorithm has an accuracy value of 61.17%.

Sentiment Analysis on Twitter Using Machine Learning Approach

2023-04-04T02:17:28+00:00

On social media Twitter, the handling of COVID-19 in Indonesia has been a highly discussed issue. The handling carried out by the Indonesian government raises pros and cons among the public. Public opinion contained on Twitter can be used as a source of decision support in making appropriate policies in evaluating government performance. In dealing with this phenomenon, the sentiment analysis method can be used to analyze public opinion on Twitter. The purpose of this research is to understand public opinion about COVID-19 in Indonesia. Tweet data regarding COVID-19 in Indonesia is processed to classify sentiment into positive and negative. Preprocessing is done to eliminate duplicate and irrelevant data. In addition, text feature extraction is compared to perform sentiment analysis on the new data. The machine learning algorithm is tested using several methods and is subjected to 10-fold validation. The best results were obtained in the second scenario with the best classifier being the Support Vector Machine, which obtained an accuracy of 84.03%.

Design of Gouramy Seed Counting System Prototype Based on the Internet of Things (IoT) Using Infrared Sensors

2023-06-06T06:58:23+00:00

Developing the cultivation of Gurami fish has good economic prospects if done correctly. In this cultivation, Gurami fish seeds are the key to success, where the hatchery process is considered the most important aspect as it determines the quality of the resulting fish seeds. Currently, the problem faced in selling fish seeds is that the counting of fish seeds is still done manually with simple tools such as cups or spoons. Fish seeds are collected in one place, collected in a bucket containing water, and placed on a cloth with a little water. Then, fish seeds are taken using a cup or spoon of 5 fish each count. This counting process can take up to 3-5 hours if the number of fish seeds to be counted reaches 15,000, and requires a very high level of accuracy. To overcome this problem, the author designed a prototype of a Gurami fish seed counter device based on the Internet of Things (IoT) using infrared sensors as a detector of fish seeds passing through the sensor and controlled using arduino. The Arduino Uno is used as the brain in controlling the Gurami fish seed counting device. In the prototype testing, Gurami fish seeds are placed in a seed container and then enter a pipe that has been equipped with sensors. Based on the results of the prototype testing that have been carried out, the device still shows the largest error, which is 3.65%. This is influenced by light entering from outside. It can be concluded that counting Gurami fish seeds using a designed device is more effective and efficient compared to manual counting.

Analysis Of Technology Governance Information On Academic Information Systems (Siakad) Using The Cobit 2019 Framework

2023-04-04T02:17:29+00:00

Aisyah Pringsewu University is an educational institution that tries to keep up with developments in information technology. There are various departments in this university that need to improve their technology management system to advance their institution. However, the technology management system used today has not achieved the desired goals. This results in a lack of procedures for using and repairing technology, frequent operating system crashes and data loss due to viruses. In this study the method used is the Cobit 2019 method with Domain Align, Plan and Organize (APO) and Domain Deliver, Service and Support (DSS). The results show that the maturity of DSS05 is 2.56, while the lowest average value currently is APO07 which is 2.45. Given these results, the level of model capability at this stage successfully executes the IT process and achieves the desired IT process objectives.

E-Kentongan Information System Based on Android Application in Pekon Bandung Baru

2023-04-04T02:17:29+00:00

E-kentongan is an Android Application with Location Based Service Application that allows users to access maps or entity methods in real time as well as innovating the use of the Threat Button to send notifications to fellow users of hazards such as theft, natural disasters, fires, robbery and other bucks that require assistance by other users. In making this system used anroid GIS (geographic information system) based software development technique. In this research, the software used in making the E-Kentongan application uses Android Studio software and the database used is Mysql. With the Android-based E-Kentongan application, it is hoped that it can help the Pekon Bandung Baru community in providing emergency information to other people, so that people who need emergency help get help quickly by people in Pekon Bandung Baru.

K-Means Clustering in Determining the Eligibility of Recipients of Assistance for the Poor Case Study of Village Sukoharjo III

2023-04-06T03:16:51+00:00

Poor people are residents who have an average per capita income below the poverty line. Assistance funds for the poor are one of the government's program efforts to reduce the level of community poverty. The purpose of this research is to test the eligibility of beneficiaries so that they are right on target - really poor people who deserve to receive this assistance. This is because there are many criteria that must be considered in determining the eligibility of recipients of aid funds with a total of 4072 residents, the researchers used data utilization techniques or also called Data Mining. One of the data mining methods is quite popular, namely clustering using the K-Means algorithm. Processing the selection data for receiving aid funds using the K-Means algorithm results in a Davies bouldin index of 0.738. These results are considered quite good because the closer the results are to zero, this study produces three groups: 1218 residents are eligible to receive assistance, 2514 residents are considered to receive assistance, 1040 are not eligible to receive assistance.