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Sitohang, Sunarsan
Universitas Putera Batam
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ROBOT MOBIL PENCARI TARGET DALAM MENGHINDARI RINTANGAN BERBASIS ARDUINO sam, samuel julianda berkat waruwu; Sitohang, Sunarsan
Computer Science and Industrial Engineering Vol 5 No 5 (2021): Comasie
Publisher : LPPM Universitas Putera Batam

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Technology is a collection of hardware that is interconnected by using programming languages ​​so that they can work with each other in helping humans complete the most difficult, dangerous and repetitive tasks or jobs. This technology is like a mobile robot that helps detect the presence of a bomb, making it easier for humans to perform dangerous tasks. This final project aims to make a car robot consisting of a combination of hardware such as Arduino Mega 2560, DC motor 4 wide driver gear, IC L298N driver, HC-SR 4 sensor, push button, infrared flame detector sensor, and 16x2 LCD using language. Arduino sketch programming that has been compiled into the Arduino mega2560 board using ATMega 16U2, Arduino mega2560 has been equipped with an ATMega2560 microcontroller as a hardware control center for a car robot so that it can run automatically or without user control in search for targets in passing predetermined obstacles. The car robot will stop working when the target it is looking for has been found. Based on the results of research that has been carried out by researchers several times, the robot car designed by the researcher can move and operate according to the concept that has been set by the researcher.
PENERAPAN DATA MINING DALAM PEMILIHAN LAPTOP MENGGUNAKAN METODE ALGORITMA C4.5 sari, anggi wijaya; Sitohang, Sunarsan
Computer Science and Industrial Engineering Vol 5 No 5 (2021): Comasie
Publisher : LPPM Universitas Putera Batam

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The development of globalization today greatly affects various fields, one of which is technology. A laptop or handheld computer is a computer that can be carried anywhere because it has a small size and light weight. The use of a laptop is the same as a computer. Good Cell Batam store is one of the stores that provide various types of laptops. Because many types of laptops make it difficult for consumers to choose the right laptop so that the store has difficulty providing information to consumers. Then we need data mining techniques and C4.5 algorithm methods in classifying the right laptop selection based on price variables, RAM capacity, processor, size and battery life. The WEKA application is used to test the accuracy of the data processed using the C4.5 algorithm. These results are obtained by finding the entropy and gain values ​​of all variables so as to produce a decision tree where there are three variables that greatly affect the choice of laptop, namely price, processor and battery life from a total of 80 data where there are 53 choices of the right laptop and 27 choices of the right laptop. not exactly.
SISTEM PAKAR MENDETEKSI KERUSAKAN MESIN MOLDING TEMPERATURE SENSOR MENGGUNAKAN METODE CERTAINTY FACTOR BERBASIS WEB rajagukguk, dormintang rajagukguk; Sitohang, Sunarsan
Computer Science and Industrial Engineering Vol 5 No 5 (2021): Comasie
Publisher : LPPM Universitas Putera Batam

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One of the technologies found in the industrial sector is the molding machine which is very influential on humans in helping their work. The molding machine is a useful tool for printing or shaping a product as required by the company. This machine is able to do very difficult jobs quickly or even impossible for humans to do manually. In operating the molding temperature sensor machine, humans or robots are the controllers of this machine. If the temperature sensor molding machine is not designed properly and regularly, the machine cannot work properly, does not last long, there is a possibility of fatal damage resulting in accidents to controlling employees, to other employees around and also to damage to the products the machine is working on the. An master framework is a PC based framework that utilizes information, realities, and thinking strategies in tackling issues that can normally just be settled by a specialist in a specific field. Based on the description above, the problem that will be presented or researched in compiling this thesis, the author is interested in taking the title of the research on "Expert System for Detecting Malfunctions of Molding Temperature Sensor Machines using Web-Based Certainty Factor Method".
RANCANGAN BANGUN SISTEM KEAMANAN RUMAH BERBASIS IOT ari purnama, ari purnama; Sitohang, Sunarsan
Computer Science and Industrial Engineering Vol 6 No 1 (2022): Comasie
Publisher : LPPM Universitas Putera Batam

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At this time technological progress is growing rapidly. By following current technological advances, it can facilitate human work. The house that is the dream of many people is a house that can provide a sense of security to the homeowner. The door and window locking system at this time still does not guarantee the security of a house because the locking system used is still using the manual locking method so that it will be easy for thieves to enter the house. The purpose of this research is to build a home security system to improve security on doors and windows. Researchers will build a prototype security system that can be monitored based on IOT (internet of things) using the ESP32 microcontroller. A home security system is produced that can be monitored remotely via the telegram application that is connected to the ESP32 microcontroller. The conclusion that can be drawn from the design of this home security system is that the user will know if someone enters the house when the security system is activated. Users will get notification messages via the Telegram application when someone enters the house through the door or window. Users can also give orders to turn off the security system and open the door via the telegram application that is connected to the ESP32 microcontroller.
PERANCANGAN PEMESANAN AIR GALON BERBASIS WEB Martan, Martan Gelisa Halawa; Sitohang, Sunarsan
Computer Science and Industrial Engineering Vol 6 No 1 (2022): Comasie
Publisher : LPPM Universitas Putera Batam

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Most of human body is made up of fluids. Water is used for various tihings such as for washing, bathing, and drinking water. So with that, many people have opened drinking water business by opening refill drinking water depots. As technology is quite rapidly developing, this situation makes people try new ways to utilize tecnology to make it easier to develop their business. The problem of this research is that the number of refill drinking water depot businesses compotition tighter. Where the company seeks to find as many customers as possible. Putra Jaya drinking water depot, where many people still don’t know about Putra Jaya drinking water depot. This leaves less company opinion. A refill drinking water depot must maintain the image of the company and maintai consumer confidence so that consumers always buy at the company. Researchers conclude to advance research gallon refill water depot business. Researchers use the prototyping method in web application development. Using a visual studio code application with laravel, php, mysql database to develop the Putra Jaya drinking water depot business. Buyers of gallon water refill via the website and don’t bother coming to the location.
DATA MINING UNTUK PENEMPATAN BARANG BERDASARKAN FREKUENSI PERMINTAAN DI PT LAUTAN LESTARI SHIPYARD Mendrofa, Nober Six Salvanius; Sitohang, Sunarsan
Computer Science and Industrial Engineering Vol 6 No 4 (2022): Comasie
Publisher : LPPM Universitas Putera Batam

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Good arrangement of goods in the warehouse is one of the important things in supporting the activities of a company. At PT Lautan Lestari Shipyard, the placement of goods in its warehouse is still relatively irregular and looks messy, this is because the placement is not based on the frequency of the number of goods coming out. This study aims to apply data mining in the preparation of the layout of goods by utilizing the archive of goods expenditure data available at the company by using the algorithm method k-means clustering. From this research, 5 data clusters were found to be the most optimal with a Davies Bouldin Index (DBI) value of 0.288. This research is expected to help make it easier for companies to arrange the goods in the warehouse.
SISTEM PENGERINGAN IKAN MENGGUNAKAN TENAGA SURYA BERBASIS ARDUINO Adeh Berydika; Sitohang, Sunarsan
Computer Science and Industrial Engineering Vol 6 No 5 (2022): Comasie
Publisher : LPPM Universitas Putera Batam

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ABSTRACT The drying method used by fishermen, especially fishermen in the islands, is still seen using simple technology where some places are not all covered by electricity so that fishermen still use weaving made of bamboo and with fish that have been split to dry quickly and does not cause bacteria. The fish dryer used still depends on weather conditions, which and it takes time to move the drying equipment and the area is quite large to take up a place of 10-20 meters. This drying method which cannot control the thermal conditions in the drying process will cause new bacteria to appear which affect the drying of fish and cannot be kept constant. So that will have an impact on the low quality of fish products produced. Therefore, it is necessary to seek other drying methods that can control bacteria. This study designed a drying system using arduino-based solar power that can control the variables that affect the drying of fish automatically. This tool is very suitable for fishermen to develop fish salting business because it uses solar power
PENERAPAN ALGORITMA NAIVE BAYES DALAM MEMPREDIKSI PENJUALAN MATERIAL BANGUNAN sandy, sandy; sitohang, sunarsan
Computer Science and Industrial Engineering Vol 7 No 2 (2022): Comasie
Publisher : LPPM Universitas Putera Batam

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Application of data mining in predicting sales of building materials PT. Tanjung Uncang uses Naïve Bayes by implementing it into the WEKA 3.9 application to predict sales of materials that are valid and unsold. In designing research designs, researchers need designs as instructions and directions for explanations starting from how to get data, process data and also the steps for completing data processing. The data mining technique uses the Naive Bayes algorithm from sales at PT. Tanjung Uncang which involves 186 building material sales data by influencing 12 variables, namely January, February, March, April, May, June, July, August, September, October, November, and December variables which have been calculated using the WEKA 3.9 application, obtaining 135 data. goods sold as much as 72,5806% and there were 51 data on goods that were not sold as much as 27,4194%. With the Naïve Bayes algorithm, it can help speed up sales data processing.
PENERAPAN SISTEM PAKAR BERBASIS WEB UNTUK DIAGNOSA PENYAKIT PADA IKAN LELE Gregorius Teheq Buyanaya, Gregorius Teheq Buyanaya; Sitohang, Sunarsan
Computer Science and Industrial Engineering Vol 7 No 3 (2022): Comasie
Publisher : LPPM Universitas Putera Batam

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Freshwater fish cultivating business is one piece of the many types of business that open entryways with exceptionally enormous benefits where, this improvement is a method for raising and duplicate fish, and afterward the outcomes are gathered and sold or drank. The motivation behind this examination is to plan an electronic master framework in diagnosing catfish illness and the advantages of this exploration can add knowledge to the local area, particularly catfish ranchers, about how to develop catfish appropriately and accurately. This fish likewise catfish is a fish with various degrees of purpose, the review expressed that this fish is a side dish with the primary degree of purpose when contrasted with different sorts of side dishes. The strategy utilized in this examination is forward directing, which is a procedure to find or make ends in light of existing data or realities which then, at that point, prompts an end, then, at that point, attempted individually in an extraordinary condition. The aftereffect of this examination is to analyze sickness in catfish in light of the site utilizing HTML and PHP programming dialects. However, the plan utilized in this study has restrictions on issue ID, issue detailing, research targets for dissecting the information required, and delivering a specialist framework for diagnosing catfish illness in light of a site and ideally valuable for clients, specifically cultivators and conventional individuals.
SISTEM PAKAR DIAGNOSA PENYAKIT MATA GLAUKOMA DENGAN METODE TEOREMA BAYES Niati, Endang; Sitohang, Sunarsan
Computer Science and Industrial Engineering Vol 7 No 5 (2022): Comasie
Publisher : LPPM Universitas Putera Batam

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Glaukoma is a disease in which eye pressure are abnormal or higher than normal causes damage to the opticnerve causing blindness that generally occurs in old age.but in the midst of the complexity, the lack of concern many people will eye health, prefer lifestyle and eating patterns that are instantaneous make eye disease glaukoma is currently sufferd by many yaoung people in the productive period.so increase the high eye diseases of glaukoma patients. Increased number of people with glaukoma eye dideases is dueto lack of knowledge about the symptoms of glaukoma eye disease, delay in handling and lack of experts or experts.so it takes the existence of an expert system to perform yhe diagnosis of glaukoma eye diases.user are asked to enter what symptoms are felt by the patient, then the system wil calculate the probality value of a disease and compare each probality of symptoms. Furthermore, the system will provide diagnostic result in the form of percentage, descriptions and treatment. This system is built on the web and implemented on the webserver . the percentage of system success l Keywords: Glaukoma,Expert System,Bayes Theorema.
Co-Authors Abdul Hamid Abdul Razaq Fatta Utama Adeh Berydika Andi Maslan Andi Maslan Anggiat Marubah Siringo ari purnama, ari purnama ARSYAD SUMANTIKA Arwin, elfani Azri Irawan Brilliant Hillary Sandy Daeli, Fonirius Dwi Saputra, Kevin Ganda Sirait Gregorius Teheq Buyanaya, Gregorius Teheq Buyanaya Halimah Tussa'Adiyah, Halimah Handoko, Koko Hotma Pangaribuan Hotma Pangaribuan Hotma Pangaribuan IRWANSYAH Junellson Kamaruddin Malik Bin Mohamad Lase, Fanotona Lubis, Kahfi Rama Putra Manik, Yosep Pangihutan Martan, Martan Gelisa Halawa Marubah Siringo, Anggiat Mendrofa, Nober Six Salvanius Muhammad Nur Sapi'i Mukhsinin, Nuriel Niati, Endang Pangaribuan, Hotma Putri, Sartika Diana rajagukguk, dormintang rajagukguk Renaldi, Encik Yoega rikson pandapotan tampubolon RIZKIANA, WIKI INDAH RIZKIANA Sabbram Agus Setiawan sam, samuel julianda berkat waruwu Sandy Sandy Saputra, Rios sari, anggi wijaya Setia Susilawati Setiawan, Sabbram Agus Silalahi, Putri Rosayanti Simanjuntak, Pastima Sirait, David Arif Setiawan Sirait, Ganda Situmorang, Nopriadi Stevent Suharyanto, Cosmas Eko supianto supianto Supianto Supianto, Supianto Very Karnadi Very Karnadi Virginiawan, Virginiawan Zendate, Sabar Serius