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INDONESIA
INFOKUM
Published by SEAN INSTITUTE
ISSN : 23029706     EISSN : 27224635     DOI : -
Core Subject : Science,
Computer Science & IT
The INFOKUM a scientific journal of Decision support sistem , expert system and artificial inteligens which includes scholarly writings on pure research and applied research in the field of information systems and information technology as well as a review-general review of the development of the theory, methods, and related applied sciences. Software Engineering. Image Processing Datamining Artificial Neural Networks
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 202 Documents
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Search results for , issue "Vol. 10 No. 5 (2022): December, Computer and Communication" : 202 Documents clear
The Information System of Goat Farm Fathurrahmani Fathurrahmani; Herpendi; Khairul Anwar Hafizd; Rabini Sayyidati
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

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Abstract

Goat breeder has great potential in South Kalimantan. Based on BPS data in 2018, goat meat production reached 361,361 heads. But unfortunately only 8% can be met by local breeders, the rest is imported from outside Kalimantan such as Java, Madura and Sulawesi. The highest demand for goat meat in South Kalimantan is for religious activities in the form of Aqiqah and sacrifice, the rest is for restaurants and household consumption. The decision of breeders to bring in goats from outside Kalimantan is due to high local prices compared to prices outside the region. Prices are high locally due to the limited population in South Kalimantan. This limited population is caused by several things, one of which is that many breeders are constrained by capital in developing their goat farms. In addition, there are actually many people who are interested in raising goats because they see this good opportunity but are constrained by limited time experience in between daily work routines in maintaining it. The solution offered through this research is the development of an application that can bring together breeders and people who want to own or invest in goats called Easy Cattle. The system development method in this study uses Agile Scrum. This method was chosen because it is the most popular and effective method in software development. The stages include determining the team, determining the work time, determining the role in the team, collecting various problems, starting the sprint and conducting a review.
Optimization of SLiMS (Senayan Library Management System) in Improving the Performance of Library Service in High School Ahdi Topan Sofyan; Pandu Adi Cakranegara; Purwo Agus Sucipto; Amrul Natalsa S; Era Sari Munthe5
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

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Abstract

This research was conducted to implement SLiMS (Senayan Library Management System) in school libraries, where SLiMS is capable of handling library administration tasks that were previously performed manually, including collection management, inventory, catalogs, circulation, published data, and member data, as well as the borrowing process and collection returns. This study included interviews, observation, and documentation for students and teachers to obtain data. The findings of this study indicate that SLiMS adds value to the library through speedier library administration and management, enhanced librarian service performance, and increased library visits to support students' reading interests. As a result of system functionality testing using blackbox testing on seven scenarios, all system features are valid and in agreement with user needs analysis, allowing library system automation to optimize library services
Implementation of the Combination of Automatic Clustering and Fuzzy Time Series Models in Viewing Rice Stock Availability sayedfachrurrazi sayed; Angga Pratama; Syukriah Syukriah; Ilham Wirayuda; Yulia Nosari
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

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Abstract

Perum bulog has an important role in supplying rice stocks, this has made Perum Bulog have to prepare a mature strategy in preparing stocks in recent years. The problem that often occurs when rice stocks cannot meet the high demand of consumers in the market causes a decrease in the available stock which results in the National Logistics Agency being unable to maintain stock availability. The second problem is the availability of very high rice stocks to meet the rice needs of the people by looking at the provision of warehousing stock. this is the most important issue for the availability of rice for the community and the State Logistics Agency is required to be able to control the supply of rice stocks. The application of fuzzy time series is used to view the stock. This will have an impact on orders that come in at the same time and in large quantities. to avoid stock shortages, which resulted in the company experiencing losses. The variables used are stock needs, the amount of stock of rice. The research methodology in data collection consists of product type data from 2018–2021 at perum bulog Aceh Utara. the set of universes of discussion U to where the fuzzy set is obtained, the minimum data is 150 and the maximum data is 2700. the number of intervals and the length of each interval of the universe set (U). linguistic sets that in the universe of speech U are A1=988, A2=1037, A3=1086, A4=1136, A5=1185, A6=1234, A7=1283. Fuzzified value from historical data Novembe 2021, 4,600, A7 and December 2019, 400 and Fuzzified A7. Fuzzy Logic Relationship (FLR) Period Dec 18 Jan 18 FLRA1 -> A6 Period Dec 19- Jan 19 A4 ->A7. forecasting and defuzzification process based on the FLRG that has been formed. Current State A1 -> 1128.42 and Current State A7 -> 1142.59. Results of Actual Data and Forecasting of Bulog Rice in North Aceh for December 2021 Actual Data of Bulog Rice Stock 1,500 Fuzzified A7 Forecasting Results 1144. error value with AFER 1.1166667% while in November 2021 while for the RMSE value 8.9442
Implementation of User-Centered Design (UCD) Method in Planning User Interface Application at Library Faculty of Computer Science Sriwijaya University Halimah; Dwi Rosa Indah
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

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Abstract

The role of Information Technology in the revolution era is very important for many business activities that contribute to fundamental changes in the structure, operations, and management of organizations. This study aims to recognize the Implementation of the User-Centered Design (UCD) Method in Planning User Interface Applications in Library Faculty of the Computer Science Sriwijaya University. This research employed the User Centered Design (UCD) method with stages of planning the human-centered design process, understanding the context of use, specifying user requirements, designing solutions, and evaluating against requirements. The subjects in this study were some library visitors of the Faculty of Computer Science, Sriwijaya University, and the librarian of the Faculty of Computer Science, Sriwijaya University. The time of the study was held on September-November 30, 2022. Data collection was from interviews and questionnaires. The research was held in the library of Sriwijaya University. Research result on testing process and usability testing performed by the method of System Usability Scale (SUS) obtained a grade of 85,83 with Category A or Excellent so that the design of this application is considered feasible to be developed. User Interface is still in the form of design so it is expected, especially to the Faculty of Computer Science Sriwijaya University, to develop this design into a program.
Decision Support System for Determining KIP Lecturers Using the Topsis Method at STMIK Pelita Nusantara Nera Mayana Br Tarigan; Amran Sitohang
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

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Abstract

In the selection of KIP Lecture recipients, private tertiary institutions are given flexibility in recruiting. However, in terms of selection, there are often problems, where the quotas given to applicants are very different. The ratio of applicants and quotas can exceed 10:1 and increase every year so that problems arise in determining who is entitled to receive KIP Lectures from among a large number of applicants. This study aims to overcome this problem by building a decision support system by applying the TOPSIS method. The alternatives in this study were KIP registrants studying at STMIK Pelita Nusantara and the criteria for analysis were SMA/SMK Graduation Years, Economic Limitations, Parents' Income, Number of Dependents on Parents, Home Status, Academic Achievement, Extracurricular Achievements, TPA Score. The objectives of this study are 1) How to assist the management of STMIK Pelita Nusantara in determining KIP Lecture recipients every year based on the quota provided by the government?; 2) How to apply the TOPIS method in determining KIP recipients at STMIK Pelita Nusantara?; 3) How to build a decision support system for determining KIP Lecture recipients by applying the TOPSIS method to assist the management of STMIK Pelita Nusantara every year? The stages of the research method are carried out starting from identifying problems, collecting data, analyzing with the TOPSIS method, system design, system development, system testing, and publication of scientific articles. From the results of the research conducted, it can be concluded that the TOPSIS method can be implemented in determining recipients of KIP Lectures at STMIK Pelita Nusantara
The design of the internet of things for the application of making automatic fish feeders Muhammad Irfan Sarif
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

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Abstract

Rapid technological advances must be utilized, studied and applied in everyday life. One of the technological advances that have been applied is in the field of control, currently with wireless network technology which has grown rapidly the problem of distance and time can be solved with wireless network technology. For example, the use of computer systems in everyday life. The use of a computer system will make performance in terms of distance and time more effective. Seeing the progress of wireless technology is not impossible in the future various kinds of electronic devices can be controlled via wireless technology. The research objective in this final project is to develop and create a control system with a wireless network using Bluetooth which can control fish feeding easily and quickly in feeding fish. The creation of an IOT (Internet Of Things) Based Fish Feeder robot using Bluetooth as a control actuator or servo motor signal delivery system. The servo motor will work if it receives input from the smartphone button as a medium to control the valve for the fish feed container which will be poured into the fish holding pond. The fish feeding system that the author has developed uses only two buttons to control the many servo motor movements to spill fish feed into the pond. The tools developed by the researchers have met the expectations of researchers and catfish breeders, because they are very beneficial for the effectiveness of catfish feeding activities.
DECISION SUPPORT SYSTEM APPLICATION FOR SELECTION OF SCHOLARSHIP RECIPIENTS USING MOORA METHOD Berti Sari Br Sembiring; Mahdianta Pandia; Devanta Abraham Tarigan
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

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Abstract

Scholarships can be said as funding that does not come from self-funding or parents, but is provided by the government, private companies, embassies, universities, educational or research institutions, or also from the office where one works because of one's achievements can be given the opportunity to increase resource capacity. human resources through education. As for the results of the research, it was obtained by students who received scholarships at STMIK Neumann with a value of 3.0665 ranking 1
COMPARISON OF ACCURACY PERFORMANCE K-NEAREST NEIGHBOR ALGORITHM AND SUPPORT VECTOR MACHINE FOR PREDICTING DEATH IN CONGESTIVE HEART FAILURE Isram Rasal; Dwi Widiastuti; Desy Wulandari Asfary Putri
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

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Abstract

Congestive heart failure or Congestive Heart Failure (CHF) is the number one cause of death in the world. There are approximately 5.7 million adults with heart failure in the United States and 550,000 new cases are diagnosed each year. This has encouraged a lot of research on heart failure, one of which is using the Machine Learning method to predict death from heart failure early. From these problems, the authors will conduct Machine Learning research using two different algorithm models, namely K-Nearest Neighbor (KNN) and Support Vector Machine (SVM). These two models will predict death due to heart failure. The dataset regarding the factors for diagnosing heart failure can be accessed widely and freely on the Kaggle website which is divided into two, namely data training and data testing then analysis and prediction are carried out, so that information is obtained in the form of an accuracy rate in predicting death in heart failure. Using this function also produces the accuracy of each model on the data that has been trained. Data taken were 299 patient data with 13 features or attributes, then divided into 239 training data and 60 test data. The value obtained is an accuracy of 85%. The accuracy obtained is more than 80% of the total data tested so that it can be used or implemented to classify heart failure.
Analysis of Dempster Shafer Method, Certainty Factor and Bayes Theorem in Expert Systems Diagnosing Tuberculosis Disease Khairul Khairul; Rian Farta Wijaya; Rizky Rinaldi Rizky; Rahmat Rezki Rahmat Rezki; Siska Simamora; Glorynta S B Nadeak Glorynta S B Nadeak; Reza Fahromi Reza Fahromi
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

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This research discusses the design of an expert system that specifically deals with the problem of pulmonary tuberculosis. Tuberculosis or abbreviated TB / TB is an infectious disease infectious disease caused by bacteria from the Mycobacterium group, viz Mycobacterium tuberculosis. According to Infodatin Center for Data and Information Ministry of Health of the Republic of Indonesia (2016) tuberculosis or TB can attacks various organs, especially the lungs, which if not treatment or treatment is not complete then it can cause complications dangerous to death. Seeing the phenomena that occur is very much needed precise and easy information on pulmonary tuberculosis by developing an Artificial Intelligence technology, namely the Expert System. In the application of Expert Systems used to diagnose Pulmonary tuberculosis needs to be compared several methods including: Certantiy Factor, Dempster Shafer, and Bayes theorem so that later it can be known which method most appropriate and best in making a diagnosis. With this Expert System, it can later be used as a consulting service to assist in diagnosing the type of pulmonary tuberculosis based on clinical symptoms that occur in patients, so that it can be used in making initial diagnostic conclusions before carrying out intensive laboratory examinations.
Study of Teacher Behavior in Using the Google Classroom Application During a Pandemic: Analysis Using Technology Acceptance Models Euis Widanengsih
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

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Abstract

This research studies teacher behaviour using the Google Classroom application using Technology Acceptance Models. The data used in this study are primary data from 27 respondents, collected data with a scale questionnaire. The sampling method uses a purposive sampling method with criteria for teachers in Jakarta and its surroundings who use Google Classroom to teach during the pandemic. The survey was conducted in September 2022. The results of the study show that Perceived Usefulness is significant for Attitude Toward Use, Perceived Ease of Use is significant for Attitude Toward Use, Perceived usefulness does not significantly affect Behavioral Intentions, and Attitude Toward Use significantly influences Behavioral Intentions

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