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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 25 Documents
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Search results for , issue "Vol. 10 No. 4 (2022): October, computer, information and engineering" : 25 Documents clear
ANALYSIS OF WLAN NETWORK HANDOVER PERFORMANCE USING RSSI AND THRESHOLD ON MOBILE DEVICES Mhd Ikhsan Rifki; Muhammad Ikhsan; Rini Halila Nasution; Dysa Handira
INFOKUM Vol. 10 No. 4 (2022): October, computer, information and engineering
Publisher : Sean Institute

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Abstract

Random user mobility on a WLAN network allows users to move away from the access point (AP) that serves them so it has an impact on the possibility of users losing connectivity to the communication network. This study aims to simulate handover performance at the Faculty of Science and Technology UIN North Sumatra to maintain network QoS by using the comparison method of RSSI AP1 and AP2 values ​​and comparing RSSI values ​​with Threshold values. The computational results on the RSSI comparison method with the threshold are carried out at a distance of 15 meters, and the comparison of the RSSI AP1 values ​​has dropped below the RSSI AP2 values ​​with values ​​of -64.35 dBm and -62.75 dBm respectively. Meanwhile, in the threshold method, the RSSI AP1 value is below the threshold so that the user connectivity service will be transferred to AP2. This research is expected so that the Faculty of Science and Technology can obtain information on the quality of WLAN network services through mobile devices.
PREDICTION OF STUDENTS WORKING ACCORDING TO COMPETENCY WITH THE C4.5 ALGORITMA ALGORITHM wira apriani; Yuda Perwira
INFOKUM Vol. 10 No. 4 (2022): October, computer, information and engineering
Publisher : Sean Institute

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Abstract

In this digital era, data is very important to be extracted in order to mine knowledge in it, the resulting data is then used to make preparations, or decisions for the future in order to get the best planning, in universities there are a lot of data that can be mined, one of which is alumni tracer data, alumni tracer data can be used to determine the characteristics of students who work according to their competencies or not by using data mining techniques, the purpose of this study is to determine the characteristics of students who after graduation can work according to their competencies , if these characteristics or criteria can be known well, then the student department can direct students who are actively learning to be able to pursue these criteria so that later these students can work according to their competencies and according to their interests. commitment to produce graduates as superior human resources who work according to their competencies. The stages of this method are collecting data from the alumni tracer questionnaire from STMIK Pelita Nusantara then processing it with data mining techniques, namely data selection, data cleaning, data transformation, then the data is processed by data mining technique classification decision tree algorithm C4.5 then evaluation and simulation with rapid miner to validate manual calculations then build the system and implement the system.
Data Visualization of the Number of Foreign And Domestic Tourist Visits to East Nusa Tenggara Using Google Data Studio Desy Misnawati; Tobias Duha; Ade Risna Sari; Gamar Al Haddar; Iwan Henri Kusnadi
INFOKUM Vol. 10 No. 4 (2022): October, computer, information and engineering
Publisher : Sean Institute

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Abstract

Data presentation techniques are critical in the development of information technology for processing data and producing information. One of the factors to consider while making judgments is the process of converting data into information. Google Data Studio can be used to turn data into information about changes in a data variable over a specific time period. This visual data can be examined and shown in the form of visual graphs and diagrams, for example, data on tourist and foreign visits to an area. This study includes data on local and foreign tourist visits to East Nusa Tenggara in terms of the number of tourists staying at Bintang Hotels from 2019 to 2022. According to the study's findings, the number of tourists visiting star hotels increased and decreased dramatically between 2019 and 2022. In 2019, for example, the largest number of domestic guests was 375,506 people, while the highest number of overseas guests was 43,094 people. Domestic visitors visited 221,884 persons in 2020, while overseas visitors visited 8,420 people. Domestic visitors will increase slightly to 322,024 in 2021, while overseas visitors will fall to 6,095 in 2021. There were 115,839 local guests and 3,201 overseas guests from 2022 to April.
REVIEW OF THE PROVISION OF TAX FACILITIES IN MANAGEMENT OF MSMEs IN THE TIME OF THE COVID-19 PANDEMIC Rakhmayudhi Rakhmayudhi; Titin Kartini
INFOKUM Vol. 10 No. 4 (2022): October, computer, information and engineering
Publisher : Sean Institute

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Abstract

To maintain stability in economic growth and people's purchasing power, as well as productivity in the business sector, the government has issued several policy instruments in the taxation sector. This thesis discusses the review of the provision of tax facilities in the context of handling the Covid-19 pandemic for the Micro, Small and Medium Enterprises (MSME) sector. The purpose and use of this research is to find out the form of tax facilities in the context of handling the Covid-19 pandemic for the MSME sector, how to provide these tax facilities and also to find out the obstacles in the implementation and implementation of the provision of tax facilities. The method used in this research is normative juridical, namely an approach that emphasizes the law which is conceptualized as what is written in the legislation, with regard to the subject matter to be discussed in relation to practice in the field so that it can solve a problem by collecting data and analyzing . The results of the study can be concluded that the form of tax facilities provided by the government in the context of handling the Covid-19 pandemic for the MSME sector is in the form of Final PPh borne by the Government. This means that the income received by the MSME actors is not calculated as income that is subject to tax. However, there are still many MSME actors who have not taken advantage of the tax facilities provided by the government. This is due to the lack of socialization carried out by the government, and the low level of tax literacy in the community. In addition, to be able to take advantage of this tax facility is still difficult for MSME actors because most of the administrative processes are carried out online, where MSME actors are still accustomed to fulfilling their tax obligations manually. As a suggestion, DGT is expected to cooperate with several strategic partners in conducting socialization and training on the implementation of procedures for utilizing tax incentive facilities..
PROTOTYPE OF ELECTRONIC EQUIPMENT CONTROL SYSTEM BASED ON INTERNET OF THINGS (IOT) Suthami Ariessaputra; Muhammad Juaeni; Budi Darmawan
INFOKUM Vol. 10 No. 4 (2022): October, computer, information and engineering
Publisher : Sean Institute

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Abstract

Every household has several electronic devices, such as lights, fans, water heaters, and other devices. However, most of these devices cannot be accessed and controlled at all times remotely. One way to access and control it is to use the internet to access it anywhere and anytime. The design and manufacture of this prototype are done by inputting data into the Blynk application on an Android smartphone. The inputted data is in the form of serial data, sent to the NodeMCU V3 microcontroller, then translated into parallel data, and then forwarded to a relay with an LED indicator that shows the condition of the electronic equipment. The relay will execute data from NodeMCU V3 to turn on or turn off electronic equipment. The system is capable of working with hotspot connectivity with NodeMCU V3 connected at a maximum distance of 12 m in a closed room and 17 m in an open space. Based on testing from five different locations, the system could remotely control the lights, fans, and water heaters. In testing the delay of electronic equipment, the average delay value is 2.8 seconds.
SINGLE EXPONENTIAL SMOOTHING IN FORECASTING TOOLS AND MEDICINE STOCKS Revi Sesario; Tobias Duha; Agry Alfiah; Susatyo Adhi Pramono; Pandu Adi Cakranegara
INFOKUM Vol. 10 No. 4 (2022): October, computer, information and engineering
Publisher : Sean Institute

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Abstract

Problems that arise when acquiring equipment and pharmaceuticals include procurement delays caused by waiting for genuine data from the storage area, as well as surplus stock of various types of drugs. This is due to the fact that administrative documents are still kept in the traditional manner. In this article, we provide forecasting tool and medicine stock based on the demand ratio in order to overcome stock delays and surplus stock. Because of the needs (in the month of forecasting carried out and the amount of data held), single exponential smoothing with alpha 0.1 is utilized. The prediction findings are also considered accurate because the forecasting smoothing computation with an average error value of MAD (21,4), MSE (710,4), and MAPE (7%) was assessed as very good.
SELECTION OUTSTANDING STUDENT USING MOORA METHOD Ichsan; Pandu Adi Cakranegara; Desty Endrawati Subroto; Yunita Dwi Wikandari; Ahmad Jurnaidi Wahidin
INFOKUM Vol. 10 No. 4 (2022): October, computer, information and engineering
Publisher : Sean Institute

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Abstract

In multi-criteria decision making, choosing the preferred alternative from among numerous alternatives is a classic challenge; approaches are required to provide decisions that are impartial. In this study, the Average Report Card Value (C1), Attitude Scores (C2), Attendance Scores (C3), Achievements (C4), and Extracurriculars (C5) were used to address the issue of outstanding student. To find the best alternative decisions for pupils who excel, 5 additional samples of students were chosen. For the purpose of resolving complicated mathematical issues arising from several opposing criteria qualities, the Multi-Objective Optimization on The Basic of Ratio Analysist (MOORA) method was selected. The results showed that alternative A4, which had a score of 0.49024595 and was the best alternative for excellent students, had the alternative ranking of outstanding students with the highest score.
IDENTIFICATION OF AUTHENTICITY BASED ON DIGITAL IMAGES USING LOCAL BINARY PATTERN AND SUPPORT VECTOR MACHINE METHODS DIAN NIKITA SARI; Muhammad Ikhsan; Armansyah
INFOKUM Vol. 10 No. 4 (2022): October, computer, information and engineering
Publisher : Sean Institute

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Abstract

Technological progress has an influence on development. Where the influence that arises can be in the form of positive or negative influences related to community behavior in utilizing and applying existing information technology. Paper money is a basic need in society where its use is as a means of payment, either cash or electronically. Counterfeit money is currency whose production is carried out without any legal approval from the state or government on the official website of Bank Indonesia. Counterfeit money in Indonesia from 2014 to 2018 has decreased and increased on a national scale. In this study the authors want to make a study to be able to distinguish counterfeit money or real money with the concept of Computer Science in the field of image processing using extraction and classification techniques. In this study, the extraction technique used is texture extraction with LBP and Classification using SVM to be able to recognize the authenticity of banknotes using the MATLAB application as a means to complete the analysis process
RECRUITMENT OF NEW EMPLOYEE USING SELECTION PROCESS FOR DETERMINING DECISIONS WITH THE PREFERENCE SELECTION INDEX METHOD Pandu Adi Cakranegara; Efendi; Aditya Wardhana; Tienni Mariana Simanjorang; Revi Sesario
INFOKUM Vol. 10 No. 4 (2022): October, computer, information and engineering
Publisher : Sean Institute

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Abstract

The most important thing for companies is to hire new people who have the skills and qualities needed for the job or acceptance offered. The ability of a company to run well depends a lot on the quality of its employees. The issue of hiring people and getting the finest applicants can be overcome with the aid of decision-making procedures. In a recruitment process, there are many selection mechanisms in businesses with varying criteria. In this study, decision-makers are selecting candidates for employment based on specified criteria, including an intelligence test (C1), an interview test (C2), a test of skills and abilities (C3), an assessment of attitudes and behaviors (C4), and work experience (C5). The calculating approach employs the Preference Selection Index (PSI) method because it can be applied to situations with multiple criteria and attributes and does not require the decision maker to calculate the weights of the criterion. The 3 best option candidates for the employees with the greatest PSI value, which is PSI = 0.88186, are determined by the results of the final PSI method computation from 5 alternatives.
EXPERT SYSTEM TO DIAGNOSE ERYTHEMA MULTIFORME USING THE CERTAINTY METHOD WEB-BASED FACTOR Fahrizal Alwafi Chandra Susi Syafriana Barus; Heri Santoso; Ilka Zufria
INFOKUM Vol. 10 No. 4 (2022): October, computer, information and engineering
Publisher : Sean Institute

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Abstract

In some cases, this disease can cause complications, such as blood poisoning, septic shock, skin infections (cellulite), permanent skin damage, permanenteye damage, and inflammation of body organs such as the liver and lungs. So that patients find it difficult to get information about Erythema Multiforme and how to handle it. The system that has been designed before has not implemented the client server feature so as to facilitate centralized database processing. Always back up data in order to avoid possible loss of important data caused by damage to the hardware. Then an expert system web will be designed to diagnose diseases in Erythema Multiforme using the Certainty Factor method. This expert web system reasoning uses a chain that is traversed from a chain that is traversed from a hypothesis back to the facts that support the hypothesis.Keywords: Expert System, Artificial Intelligence, Certainty Factor, Website

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