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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 615 Documents
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CONTROL SMARTHOME DISTANCE CONTROL BASED FUZZY LOGIC Despaleri Perangin-Angin; Gusman Jaya Ndruru; Thomson Purba; Amos Marulitua Butar Butar
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

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Abstract

SmartHome (smart home) is a part of IoT where all everyday objects or furniture that are familiar with people's lives are “smarted” due to the integration of technology in the form of a versatile microcontroller. In terms of Smart Home, IoT will be present in the form of items that are often found in ordinary people's homes. This research was conducted to develop a system that can assist in performing operations on electronic equipment used daily at home with a smartphone as its control. This research includes the stages of the prototype and system development method that will be developed using the Arduino Uno ATMEGA328 microcontroller hardware, NodeMCU (ESP8266), Bluetooth as the main control system connected to the internet network using a wireless router and as software for control of the system designed using Android-based application, namely the MIT Application Inventor open source application. In conducting experiments to show that this control system is able to work properly as expected so that users can turn off and on electronic devices such as lights, fans and others.
HEALTHY SMART DOOR BASED ON BODY TEMPERATURE USING ARDUINO UNO AND FUZZY LOGIC Fadhillah Azmi; Gopas Pasaribu; Rizki Imanuel
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

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Abstract

Since the end of 2019, the spread of Corona Virus Disease (COVID-19) has always shown an increase from time to time, this is due to the rise of physical contact, both directly between humans and through contact with equipment or public facilities. Automated public facilities and early detection of humans who have the potential to spread disease are effective ways to prevent physical contact between the spreader and other humans. Body temperature is one indicator that shows how the human body is and its ability to generate or reduce heat in the body. Based on the information obtained, the normal human temperature is in the range of 36.5-37.20C, whereas if it is above that temperature a person can be said to have a fever, where fever is a symptom of COVID-19. However, the human body temperature is also relatively fluctuating depending on activities and environmental conditions. For this reason, a method that makes it easier to analyze body temperature based on grouping is used, namely the fuzzy logic method which is implemented into the Arduino Uno microcontroller as an automatic control tool
DECISION SUPPORT SYSTEM FOR DETERMINATION OF VOCATIONAL SCHOOL DEPARTMENT GKPS-3 PEMATANG SIANTAR USING WEB-BASED WEIGHT PRODUCT METHOD Lane Ertika Matanari; Arifin Tua Purba; Calen Calen
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

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Abstract

Following applicable standards throughout Indonesia, prospective vocational students who will register for school will experience major selection (majors). For this reason, prospective students are expected to be able to assess their interests, talents, and abilities so that they do not choose the wrong department to take. The selection of majors for prospective vocational students is the beginning of future career choices, but many prospective students choose majors because of the influence of friends. The role of parents is very important. The direction available at SMK GKPS 3 includes accounting, office administration, and software engineering. The assignment will be adjusted to the student's academic abilities and interests. The purpose of these majors is so that students can be directed in receiving lessons that are following the abilities and talents possessed by students. To assist in the process of determining the direction, a decision support system (SPK) was designed with the Weight Product (WP) method. The WP method is done by using multiplication to relate the attribute rating, where the rating of each attribute must first be ranked with the attribute's weight. Based on the data sample studied, the DSS is designed to operate properly and correctly and is 100% accurate because the results of the comparative evaluation results of manual analysis and the overall analysis of the DSS are appropriate.
FEASIBILITY DECISION SUPPORT SYSTEM FOR RECIPIENTS OF BPNT (NON CASH FOOD ASSISTANCE) USING SAW METHOD AT BANE PEMATANGSIANTAR KELURAHAN WEB-BASED Eduard Sihombing; Viktor Siregar; Novendra Damanik
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

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Abstract

Non-Cash Food Assistance (BPNT) is a program organized by the government in tackling poverty and food needs. The BPNT program aims to reduce expenses and provide more balanced nutrition to Beneficiary Families (KPM). However, in the implementation of the BPNT program, there are still technical problems, including the determination of the wrong target for BPNT recipients. To make it easier for relevant officials to determine prospective BPNT recipients, the authors create a decision support system using the Simple Additive Weighting method where this system produces a ranking as a recommendation for residents who are entitled to receive BPNT through the calculation of the weighting criteria of each alternative. It is hoped that this application can provide recommendations for prospective BPNT recipients that are more targeted.
WEB DESIGN BASED ONLINE MANAGEMENT SYSTEM AT 3 MEDAN JUNIOR HIGH SCHOOL Siti Aisyah; Widia Sari Zebua; Rupiah Boru Tambunan; Lina Sari Damanik; Rut Julianti Hutagalung; Matthew Thompson
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

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Abstract

This research is entitled Design of Web Based Online Management System at Nasrani 3 Medan Junior High School. The purpose of this research is to design a support system in order to assist prospective students in the reegistration process for Nasrani 3 Medan Junior High School. The method used in this research is a descriptive research method and the waterfall method in the system development methodology used. The result of this research indicate the following conclusions; 1. The system at Nasrani 3 Medan Junior High School is still done manually so that the system built can accelerate academic data processing. 2. The system built can be carried out efficiently on academic performance so that the time required is not too long. 3. All students data, teachers, tuition fees, and student grades are stored in the designed system.
HEART RATE MEASUREMENT MONITORING USING PULSE HEART RATE SENSOR AND NODEMCU Muhammad Syahputra Novelan
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

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Abstract

Health for life is very important to be maintained. everyone needs to pay attention to the health of their bodies, the most important thing is heart health. One of the most important organs for humans is the heart which functions to pump blood throughout the body, as a means of passage in the body and blood works to transport oxygen and nutrients needed by the body's organs. Heart rate beats per minute (bpm) symbolizes the scale to see the state of the heart, and to understand the state of the heart by looking at the size of the heart rate. For this reason, it should be necessary to design a device to detect heart rate, see the normal or abnormal heart rate in every human being and a device designed to be used by every human being without exception. Listen to the development of technology today, many components on the market can be accessed, the NodeMCU microcontroller development board facility as a control center that is connected to a Pulse Heart Rate Sensor, the analog heart rate media reader is then converted into digital data that is read, then communicated using Wifi is integrated with the NodeMCU module so that it can be displayed on a notebook or on an Android smartphone which can be used repeatedly according to measurement needs.
AUTOMATIC GALLON WATER SYSTEM MONITORING APPLY FUZZY LOGIC Zulfahmi Syahputra; Muhammad Syahputra Novelan; Purwa Hasan Putra
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

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Abstract

A dispenser is a household appliance that is used by almost every Indonesian citizen, a dispenser is a household appliance that functions as a container for gallons of water to refill. Because water is a very promising need, the water refill gallon business is very rapidly developing, both water depot owners or consumers sometimes cannot know when the gallon water runs out unless they see it directly, sometimes due to dense activity so they cannot monitor repeatedly when the water is gallon. it ran out so research was carried out on the manufacture of automatic dispensers. To carry out the automation process, it is assisted by a microcontroller device called Wemos D1, besides that there are two sensors as sending messages, namely the ultrasonic sensor and the infrared tcrt 5500 sensor with the help of an Android-based application so that water notifications run out on the smartphone. In addition, to calculate the messages sent through the sensor, the fuzzy logic method is used. After testing in this study, the ultrasonic sensor sends a message for water conditions in gallons and has a vulnerable value (0 - 40) 0 is a full gallon and 40 is an exhausted gallon. While the infrared tcrt 5500 sensor sends a message for gallon conditions and has a vulnerable value (100-1000) 100 is the value of gallons installed (GTS) and 1000 is the value of gallons not installed (GTT), it can be concluded that the applied method can determine the water condition used up and the condition of the gallon that is not installed and the accuracy obtained is 98%.
APPLICATION OF THE K-MEANS ALGORITHM IN IDENTIFYING TYPES OF SKIN DISEASE1 Purwa Hasan Putra
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

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Abstract

In the process of grouping the types of skin diseases, doctors and hospital staff encountered various obstacles, including difficulties in grouping data on types of skin diseases. This analysis will assist the hospital in analyzing the data grouping of skin diseases. Data Mining Analysis using the K-Means algorithm for grouping types of skin diseases is an analysis used by doctors and hospital staff to determine grouping of patients based on the type of skin disease. By making this analysis, it is hoped that it can help hospital staff in classifying types of skin diseases
SEXIST LANGUAGE FROM TWO TYPICAL ASPECTS: SEXISM IN WORDS AND SEXISM IN PROVERBS Marlina Tampubolon; Dwi Pebrina Sinaga; Nurul Husnah Harahap
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

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Abstract

This aim is to analysis the bias in favor of one sex and thus treats the other sex in a discriminatory manner. In most cases, the bias is in favor of men and against women. This paper firstly discusses sexist language from two typical aspects: sexism in words and sexism in proverbs. Then it emphasizes that owing to Women’s Liberation Movement in Western Countries, women’s social status has been bettered, and such super masculine phenomenon in English is being alleviated accordingly. In order to illustrate the two issues clearly, many interesting examples are given.
Implementation Of Network Packet Filtering With Extended Acl Methods On Microtik In Securing Internet Connection Office AFD IV Butong Sulfur Unit Gery Chandra Purba
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

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Abstract

The need for information and internet access is currently very high. To fulfill that, one way is to use computer networks as the medium. In a network that already uses a Virtual Local Area Network (VLAN), it still requires the application of Network Packet Filtering with the Access Control List (ACL) method to regulate the access rights of each device on the network. Access Control List (ACL) can filter data traffic of a network by filtering whether the packets are fit to pass or be stopped. The network is built using several different network devices, one of which is a router. A router is a device that can process data packets that differ between networks (between networks) through a process called routing. Lots of companies produce routers, Mikrotik is one company that produces routers. Mikrotik is easy to operate because it can be helped using additional software, namely Winbox in the GUI display, besides that there is a hotspot server inside which consists of several network management facilities that we can set according to network needs

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