INFOKUM
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
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<![CDATA[AN ENHANCE SYSTEM SMART TOILET BASED ON RECYCLE GREEN CONTROL ]]>
<![CDATA[Solly Aryza]]>;
<![CDATA[Siswa Pratama]]>;
<![CDATA[Muhammad Ikbal]]>
<![CDATA[ INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence ]]>
Publisher : <![CDATA[Sean Institute ]]>
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<![CDATA[Klambir 5 village is an underdeveloped area in North Sumatra in the current era of technology, technology is developing rapidly in the current era, along with the development of technology, there are impacts. Control of electronic equipment can be done with smart bathroom applications (smart badroom) controlling electronic equipment for water treatment is a very important requirement in the life of all living things, especially humans. In primary needs, water is used for drinking, washing, bathing and so on. In addition, water can also be used as a hydroelectric power plant, rice field irrigation system, transportation and others. The purpose of this study is to design a device that can control the output of water in the ablution tap and control the filling of the water reservoir. In designing this tool using Arduino Mega 2560 as data processor and keypad as well as water float sensor and Infrared Proximity Sensor as input and DC pump, relay and solenoid valve as output. With the design of this tool, it can fill the water reservoir automatically and can control the output of water in the ablution water faucet]]>
<![CDATA[DESIGN THE BEST ROUTE-SETTING APPLICATION IN MULTI-ORDER DELIVERY WITH SIMULATED ANNELING ]]>
<![CDATA[Angga Rizky. S]]>;
<![CDATA[Muhammad Ikhsan]]>;
<![CDATA[Armansyah Armansyah]]>
<![CDATA[ INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence ]]>
Publisher : <![CDATA[Sean Institute ]]>
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<![CDATA[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%.]]>
<![CDATA[DEVELOPMENT OF AGRICULTURAL AND LIVESTOCK PRODUCT SALES SYSTEM FOR HOUSEWIVES IN KLAMBIR VILLAGE V KEBUN ]]>
<![CDATA[Zulfahmi Syahputra]]>;
<![CDATA[Hendry Hendry]]>;
<![CDATA[Ristra Sandra Ritonga]]>
<![CDATA[ INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence ]]>
Publisher : <![CDATA[Sean Institute ]]>
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<![CDATA[During the COVID-19 pandemic, the number of businesses decreased in terms of sales so that some businesses went bankrupt. The Housewives' Group in Klambir Village V Kebun has a business that sells agricultural and livestock products. However, buyers are still limited to knowing the products of these businesses. In providing information about the business of the housewife group in Klambir V Kebun Village. For that we need a method of presenting information on the distribution of small industries that is better and can display various small industries accompanied by information on sales of agricultural and livestock products. Geographic Information System (GIS) can solve this problem by displaying the location of small industries in Medan along with information related to displaying more attractive products that can be accessed by the public. The Geographic Information System (GIS) will display in web form, so that it can be easily accessed by the public in ordering chips via the internet.]]>
<![CDATA[ANALYSIS OF K-NEAREST NEIGHBOR METHODS IN DETECTING FAKE MONEY ]]>
<![CDATA[Vivin Yulfia Sarah]]>;
<![CDATA[Zulham Sitorus]]>;
<![CDATA[Zulfahmi Zulfahmi]]>
<![CDATA[ INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence ]]>
Publisher : <![CDATA[Sean Institute ]]>
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<![CDATA[Money plays a very important role in human life. In the history of human civilization, money has played all the roles of paper money. Not only the symbol of the state, but also a tool that can unite one country to another. It has also become an economic management tool. The Indonesian government has an Indonesian bank that has appointed a printer that specializes in printing money. Only money issued by official and legal banks in Indonesia can be used as legal tender. This research is designed to identify and verify fake and genuine banknotes. This approach consists of several steps, including image acquisition and grayscale conversion, active contour, histogram, image extraction. This study uses banknotes of Rp. 100,000; as the object of research. The results of image processing that have been carried out, it can be concluded that to detect counterfeit money or the authenticity of banknotes can be done based on the watermark on the money which can be imaged using Matlab by performing computational digital image processing, namely grayscale conversion, active contour, histogram, image extraction. The accuracy results obtained from the evaluation of the authenticity of banknotes are 98.5%.]]>
<![CDATA[A DETECT PARTIAL DISCHARGE IN ISOLATOR USING A FLUKE ii910 SONIC INDUSTRIAL IMAGER IN PTR 03 FEEDER (SARIBU DOLOK) ]]>
<![CDATA[Akbar Primary S]]>;
<![CDATA[Hamdani Hamdani]]>;
<![CDATA[Siti Anisah]]>
<![CDATA[ INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence ]]>
Publisher : <![CDATA[Sean Institute ]]>
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<![CDATA[Partial discharge is a very serious problem that should be monitored quickly. The cause of Partial discharge failure is due to the presence of voids filled with gas/air in the insulation material. Partial discharge can also be regarded as losses because it can reduce the quality of the insulation material. This study aims to detect partial discharge using the Fluke ii910 Sonic Industrial Imager. Tests in this study using descriptive quantitative research methods. From the tests that have been carried out, it can be concluded that using the Fluke ii910 Sonic Industrial Imager can make it easier to find partial discharges on the insulator and minimize the impact of interference caused by partial discharges]]>
<![CDATA[AN ANALYSIS OF NETWORK EXPANSION TO REPAIR VOLTAGE DROPS ON SULUM FEEDER DISTRIBUTION NETWORK PT PLN (PERSERO) KUALA SIMPANG CUSTOMER SERVICE UNIT ]]>
<![CDATA[Fadly Rozeta]]>;
<![CDATA[Hamdani Hamdani]]>;
<![CDATA[Solly Aryza]]>
<![CDATA[ INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence ]]>
Publisher : <![CDATA[Sean Institute ]]>
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<![CDATA[In improving the voltage drop, PLN had tried several methods such as adding substations or commonly referred to as insertion substations, but the results are still unsatisfactory, current actions to maintain the quality of electricity distribution are being carried out by PT. PLN Persero Main Unit Aceh Region UP3 Langsa ULP Kuala Simpang is to expand a network by diverting the voltage source from the Pulo Tiga Substation which is 43 km from the Substation to the Terban Substation which is 12 km from the closer Substation so that it can change a voltage, which was initially small because at the end of the network it became much larger because it was at the base of the network which was close to the voltage source itself.Based on the data collected, the Sulum feeder experienced large enough voltage drop, namely 26.74% for the daytime peak load and 19.2% for the night peak load before switching the voltage source. After switching the voltage source, the value of the voltage drop is reduced to 3.6% for peak day loads and 4.1% for peak night loads]]>
<![CDATA[IMPLEMENTATION OF THE K-NEAREST NEIGHBOR METHOD IN KNOWING WATER QUALITY ]]>
<![CDATA[David Nico L Nainggolan]]>;
<![CDATA[Eko Hariyanto]]>;
<![CDATA[Arpan Arpan]]>
<![CDATA[ INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence ]]>
Publisher : <![CDATA[Sean Institute ]]>
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<![CDATA[The function of classification is the process carried out in predicting a data that has a class that is still unknown, the pattern that is owned is also already regular in a classification method. K-NN is a group that has an instances-based learning system, in conducting group searches by performing the value of k objects into the test with the closest value to the value of other data. KNN uses the closest distance value to the tested dataset in carrying out the classification process. Drinking water is very important for health and is a very effective component for the health of the human body. Health is very influential on the country's economy, it is necessary to invest in water that is very beneficial for the community. This study conducted a search for accuracy of water quality with data as many as 3276 different bodies of water in order to know which water can be drunk and not drinkable. The results of the accuracy of the KNN classification model that can increase the level of accuracy better for the data used. So the research on water quality has an accuracy of 56.40% with 370 data on drinkable water. Researchers hope that accuracy can be improved again by combining the optimization of the classification model in future studies]]>
<![CDATA[DESIGNING AND BUILDING APPLICATIONS FOR ORDERING DELIVERY OF GOODS AND LOGISTICS TO CUSTOMERS BASED ON ANDROID and WEBSITE ON NINJA XPRESS ]]>
<![CDATA[Defri Abdul Majid Nasution]]>;
<![CDATA[Rio Septian Hardinata]]>;
<![CDATA[Muhammad Syahputra Novelan]]>
<![CDATA[ INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence ]]>
Publisher : <![CDATA[Sean Institute ]]>
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<![CDATA[Delivery of goods is very often done every day. Customers who want to send goods to other places must deliver the goods to the place of delivery. Ninja Xpress is one of the shipping agents in Indonesia. The author designs and builds a system that can place orders for delivery of goods through the Android application. This order can be made at home so that customers do not need to come to the place of delivery of goods. Applications can make delivery orders to the delivery party. The goods will be picked up at the customer's house and the specifications related to the goods will be recorded. This system is very good for customers to use so they don't have to come directly to the place of delivery..goods, delivery, information system, express]]>
<![CDATA[AN ANALYSIS CAUSES OF LINE DISTURBANCE IN ELECTRICITY DISTRIBUTION IN PT. PLN (PERSERO), ULP EAST BINJAI ]]>
<![CDATA[Eky Firdian Fauzi]]>;
<![CDATA[Siti Anisah]]>;
<![CDATA[Hamdani Hamdani]]>
<![CDATA[ INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence ]]>
Publisher : <![CDATA[Sean Institute ]]>
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<![CDATA[The distribution line is the section of the electricity line that is closest to the community; it is divided into two parts: primary and secondary distribution lines. PLN primary distribution voltages are 20 KV, 12 KV, and 6 KV. The primary distribution voltage that PLN typically produces is 20 kV. The purpose of this study is to use FTA to determine the main causes of disturbances in the electricity distribution line at ULP Binjai Timur (Fault Tree Analysis). The large difference between the electrical energy sent from the substation and the electrical energy obtained from customer consumption demonstrates the study's findings. The following are the causes of these disturbances: component JTM (I1) with as many as 55 faults (12.5 percent), JTM equipment (I2) with as many as 30 faults (6.7 percent), transformer faults (I3) with as many as 8 faults (1.8 percent), natural disturbances (I4) as many as 1 disturbance (0.2 percent), external disturbances (E1) as many as 15 disturbances (3 percent), natural disasters (E2) as many as 61 disturbances (13.7 percent), the work of other parties/animals (58.2 percent). After conducting research on the causes of disturbances in the electricity distribution line at ULP Binjai Timur and analyzing the data with Fault Tree Analysis (FTA), it was discovered that the main cause of disturbance is a human disturbance, manifested as kites, banners, and digging PDAM channels]]>
<![CDATA[STUDY OF BANK CAPACITOR NEEDS ANALYSIS OF POWER FACTOR IMPROVEMENT IN THE WATER INTAKE UNIT OF PT PUPUK ISKANDAR MUDA (PT PIM) ]]>
<![CDATA[Hari Bukti]]>;
<![CDATA[Hamdani Hamdani]]>;
<![CDATA[Siti Anisah]]>
<![CDATA[ INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence ]]>
Publisher : <![CDATA[Sean Institute ]]>
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<![CDATA[The used of an electric motor which is an inductive load will cause reactive power which can reduce the value of the power factor. This can have an impact on increasing the electric power bills charged to users due to the kVar pinalty given by PT PLN (Persero) as a power supplier company. This paper aims to analyze the need for a capacitor bank to improve the power factor of the PT PIM water intake unit. Based on the results of data analysis that has been carried out, it is found that the value of the power factor (CosĪ1) at the Water Intake Unit of PT PIM for the last six months has an average value of 0.76 so that a reactive power compensator from a capacitor bank of 154 kVar is needed to achieve a power factor of 0.85]]>
