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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 842 Documents
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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
CULINARY AND EDUCATIONAL TOURISM DESIGN IN MAIMOON PALACE WITH AN APPROACH TO HERITAGE URBAN LANDSCAPE Zahara Prahastiwi; Bhakti Alamsyah; Ramadhani Fitri
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

North Sumatra consists of several tribes, namely, Malays tribe, Mandailing tribe, Toba tribe, Karo tribe, Simalungun tribe, Pakpak tribe, and Nias tribe. Each tribe has a variety of interesting cultures, especially the typical culinary that can give the identity of an area. Although the tribe in North Sumatra has a variety of typical culinary, in the city of Medan there is no special place that can be used as a place to find and learn the culinary specialties of North Sumatra. For that, needed a place to learn the culinary specialties of North Sumatra and also provide a place to eat the typical cuisine of North Sumatra without having to go to the tribal area of North Sumatra. North Sumatra’s educative culinary center is a means of learning the culinary specialties of North Sumatra that can make the people of Medan aware of the importance of maintaining traditional culinary North Sumatra. This Culinary Center is not only a place of education, this Culinary Center provides restaurants and food courts for the general public and tourists who want to try the culinary specialties of North Sumatra. This culinary center is located in the Maimoon Palace area. Maimoon's palace is one of the icons of the city of Medan, currently undergoing additional facilities, one of which is a culinary center facility. Because this Culinary Center is in the Palace area, This Culinary Center can support increase the existence of Maimoon Palace. This Culinary Center applies Contextual Themes and Concepts that are in context with Maimoon Palace and Kasawan Maimoon Palace..
VERTICAL PARKING BUILDING DESIGN WITH TROPICAL ARCHITECTURE ON PALANGKARAYA STREET, MEDAN CITY Pikri Tindaon; Bhakti Alamsyah; Ramadani Fitri
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

In the global era, the economic growth of Indonesia is currently growing so investors are tempted to invest in Indonesia. It is predicted that in the next decade, the central business district and its surroundings will be full of high-rise buildings. The growth of the office buildings construction in Indonesia, especially in Medan, is facing serious problems, namely limited available land; high land-price; high density of activities which causing boredom for office employees. Those reasons are the background of office park concept (offices within the park) in Medan. The building must be able to adapt to the climate situation. The tropical architecture concept is applied so that the building will be able to adapt and be reactive to an unpredictable climate. At the end, the role of office park concept can provide alternative forms which paying attention to the ecology of the density office environment and can reduces the air temperature around it.
STUDY ANALYSIS OF LIGHTINING ARRESTER INSTALLATION LOCATION AT SUBSTATIONS Zikri Asy'ari Ritonga; Adi Sastra P Tarigan; Solly Aryza
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

In general, a substation is an electrical system that functions to convert electrical energy to be distributed to consumers in general where electricity centers are connected to air transmission lines, and air transmission lines are susceptible to interference from outside the system, one of which is a lightning strike. Where in the operation of a substation there are several important equipment, one of which is a transformer, so a protection system must be installed on the transformer to minimize interference. Lightning strikes are dangerous for the components contained in the power center. The protection system is used to protect the power system and the equipment itself from lightning surges and short circuits. To maintain reliability and ensure normal operation, specifications for arresters installed on the HV side of the Tragi Binjai substation power transformer unit with a nominal voltage of 150 kV, have been in accordance with system requirements. The maximum distance between arresters and power transformers is 28.5 meters. The distance in the field is 3 meters, the voltage that arrives at the power transformer is 480 kV and is still below the value of the transformer's basic isolation level, so that the protection of the power transformer against lightning surges is very good

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