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Handoko, Koko
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PENERAPAN AUGMENTED REALITY PENGENALAN JENIS OLAHRAGA BERBASIS ANDROID Rendi, Alvin; Handoko, Koko
Computer Science and Industrial Engineering Vol 4 No 6 (2021): Comasie
Publisher : LPPM Universitas Putera Batam

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Developments that unite science and technology form a new invention, namely the smartphone. In the world of education, smartphones are effective learning tools that can be used anywhere. Learning media in the form of technology on smartphones is Augmented Reality in learning introduction to sports. Augmented Reality is a technology that combines 2D and 3D virtual objects into an interactive real-time environment. Changes in learning methods lead to digital based using computer technology that accepts inputs such as audio and video. The support of the Blender sports software is made into 3D, the Vuforia database and the Unity Engine as software used to develop Augmented Reality applications using the C# programming language. The resulting application is an Augmented Reality application with virtual sports objects in 3D and can be displayed in real time. Marker is a pattern or marker in the form of an image that will be recognized by the camera by pointing the camera on the smartphone to the marker that has been printed, then the 3D object will be displayed on the smartphone. The use of Augmented Reality technology is expected to be an alternative media, so that it is interesting and varied in learning about sports.
IMPLEMENTASI DATA MINING UNTUK MEMPREDIKSI KELULUSAN SISWA DENGAN METODE NAÏVE BAYES Sinaga, Karolina; Handoko, Koko
Computer Science and Industrial Engineering Vol 4 No 6 (2021): Comasie
Publisher : LPPM Universitas Putera Batam

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The problem of student grades is very important as a benchmark to see the level of student graduation. Effective value management with supporting applications that are very helpful in calculating accurate calculations. That way the use of naïve Bayes technology methods is able to answer problems in the information field of any integrated data. The purpose of this study was to determine the pass rate of students in the implementation of data mining for students who passed and did not pass, based on the final school examination scores (UAS), national test scores (UN), final scores (NA) for the last 3 years, 2017 to 2019. The data study method used in this research is by observation and interviews with resource persons from SMK Putra Jaya School Batam. The auxiliary application in the study used was WEKA to calculate student graduation results. This study used 70 student data as a test of value to be processed and produced a total of 210 data with 167 students who passed and 43 students who did not pass.
SISTEM PAKAR UNTUK MENDETEKSI KERUSAKAN POMPA UTAMA ELEKTRIK PEMADAM GEDUNG BERTINGKAT BERBASIS WEB kesuma, hendra; Handoko, Koko
Computer Science and Industrial Engineering Vol 5 No 4 (2021): Comasie
Publisher : LPPM Universitas Putera Batam

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The electric main pump of a multi-storey building is the one of security and safety means to reduce the potential risk of fire disaster. In carrying out its function as a pressurized water distributor, main electric extinguiser pump sometimes suffers damage which results in the pump not being able to operate optimally or even not functioning at all, but technicians who experts, especially in the field of electric fire main pumps, are very limited in number. The expert also cannot always be in the building for 24 hours. The development of an expert system to detect damage main pump of building s deemed necessary to be presented, helping make it easier for high-rise building technicians to detect damage that occurs to electric extinguisher main pump of multi-storey building is a system using forward chaining method which functions in finding damage caused by symptoms that arise when the electric extinguisher pump is operated. This method uses the information to assign execution rules or the information to memory then processed to find the result. So that the technicians can detect damage the occurs to the pump so they can find out and deal with damage to the main electric extinguisher pump before it is handled further by experts. Seeing the results of the test carried out shows that the expert system designed is able to work properly and well to use. It is known that the problem of damage to the main pump of the electric fire extinguisher in buildings can be helped with this expert system.
SISTEM PAKAR DIAGNOSIS PENYAKIT KULIT PADA KUCING BERBASISI WEB DENGAN METODE FORWARD CHAINING Adriana, Lia; Handoko, Koko
Computer Science and Industrial Engineering Vol 5 No 6 (2021): Comasie
Publisher : LPPM Universitas Putera Batam

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One of the most popular pets to keep is a cat. Cats are one of the animals that are kept by the community because they can be good friends for humans. To help the general public, especially cat keepers whose knowledge is still lacking in recognizing the types of skin diseases in cats and save time and costs in solving problems by using a system expert. An expert system that will be used to diagnose skin diseases in cats, as well as provide ways to prevent and overcome them using the forward chaining method. Forward Chaining is an information-driven (data-driven) approach. In this approach, the search begins with input data, and then attempts to describe conclusions. Forward tracking looks for facts that match the IF part of the IF-THEN condition. then the rule is stimulated and the next rule is tested. The results of this study are a system that can diagnose skin diseases in cats based on a website. With the existence of an expert system for diagnosing skin diseases in cats, it can help the general public, especially cat keepers, to find out earlier about the types of skin diseases in cats and the symptoms of these skin diseases. and handling solutions.
PENERAPAN DATA MINING ANALISA PENYAKIT MENULAR PADA MANUSIA Tampubolon, Susi Susanti; Handoko, Koko
Computer Science and Industrial Engineering Vol 5 No 7 (2021): Comasie
Publisher : LPPM Universitas Putera Batam

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The use of data mining in technology is growing day by day. In this research, the author discusses the application of data mining in the medical field, data analysis of infectious diseases in humans and the use of infectious disease data in UPT Puskesmas Sei Langkai. Infectious diseases in humans are one type of disease that has a large amount of data and accumulates because basically infectious diseases have various causes and effects so that the purpose of this research was to identify and then analyze the highest to lowest levels of 7 types of data on infectious diseases in humans with a total of 1,212 patients in 2019 and 2020 using the K-Means clustering algorithm. From the data that has been processed get results that Acute Respiratory Infections and COVID-19 have the highest number of data in Tembesi, leprosy, dengue fever, and measles have the highest number of data in Sei Langkai, while HIV and TB has the highest number of data in Sei Pelunggut. The conclusion of this research is using the K-Means method and testing the RapidMiner application, it can facilitate data processing and has an accurate final value and effectively used in big data processing.
PERANCANGAN APLIKASI PENGELOLAH STOK MATERIAL MENGGUNAKAN QR CODE DI PT SP MANUFATURING BATAM BERBASIS ANDROID Ari, jaya Ari Suhut Siregar; Handoko, Koko
Computer Science and Industrial Engineering Vol 6 No 2 (2022): Comasie
Publisher : LPPM Universitas Putera Batam

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PERANCANGAN SISTEM PERAMALAN CUACA BERBASIS LOGIKA FUZZY DI KOTA BATAM NAPITUPULU, RIKKI LEONARDO; Handoko, Koko
Computer Science and Industrial Engineering Vol 6 No 5 (2022): Comasie
Publisher : LPPM Universitas Putera Batam

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Weather is also an important factor in supporting human activities, especially in Indonesia. Human activities that are highly dependent on weather conditions include flight activities, shipping, land travel, agriculture, companies that use the sun as a dryer for their production materials, daily activities (drying cloth). Every day, BMKG Indonesia as an institution engaged in Meteorology, Climatology, Air Quality and Geophysics is tasked with providing information on weather forecasts in Indonesia based on available data. However, at this time it is very difficult to predict the weather conditions because of rapidly changing climate conditions resulting in irregular season changes. Weather conditions are influenced by interrelated elements, namely temperature, humidity, air pressure and the intensity of sunlight. Erratic weather changes can only occur for a few hours and differ in various regions (Puspita, 2016). Fuzzy logic is a level of Boolean logic that deals with the concept of partial truth. Where fuzzy logic maps an input space into an output space by using IF- THEN rules. With the help of the application of Fuzzy logic, this research has the aim of processing the data obtained from temperature, air, and air pressure using Sugeno's fuzzy logic and testing accuracy using MATLAB.
PENERAPAN DATA MINING UNTUK MEMPREDIKSI PENJUALAN OBAT DI KLINIK HARAPAN KITA BATAM Hutahaean, Mangaratua; Handoko, Koko
Computer Science and Industrial Engineering Vol 6 No 5 (2022): Comasie
Publisher : LPPM Universitas Putera Batam

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Clinics are places or facilities for providing information on drugs and other pharmaceutical supplies to the public. This resulted in uncertain results from sales at the clinic. Types of drugs that are increasingly varied, from drugs that are cheap to prices that if you look at it don't make sense but have very good functions, especially in the distribution of types of drugs. To overcome this problem, the classification of drugs that are sold or not sold at the clinic is based on the variables obtained using the Naive Bayes Agorithm which is able to provide information about the existing products in the clinic and minimize the stock that accumulates for the unsold category. The availability of a lot of data in an area of ​​need for information becomes a reference in making decisions to make business solutions. The desired information in this study is to obtain an accuracy value for the sales data for these drugs, which are often an option. This research uses Rapidminner tools as a medium for testing data to be processed to obtain an ROC (Rank Order Centroid) value of 80% accuracy based on the importance or priority of the criteria.
SISTEM PAKAR MENDIAGNOSA PENYAKIT PADA IKAN ARWANA MENGGUNAKAN METODE FORWARD CHAINING DAN DEFTH FIRST SEARCH BERBASIS WEB Elan, Muhammad; Handoko, Koko
Computer Science and Industrial Engineering Vol 7 No 3 (2022): Comasie
Publisher : LPPM Universitas Putera Batam

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Everyone can now find solutions to their problems either in person or through the internet, which can be accessed via a computer or mobile device, thanks to the advancements in contemporary technology. In addition, this technology is used in various end-use industries, including animal husbandry, agriculture, manufacturing, healthcare, and others. One of the problems that often arises for some people is health problems because it is difficult to obtain information about health, how to maintain health, and how to determine the best actions for handling and prevention, especially considering the needs of the community. for animal health technology services, especially arowana fish. By utilizing the PHP programming language, create an expert system for detecting arowana fish disease on the web. develop an online expert system that can support arowana fish keepers and make consultations more effective. using a forward chaining and defth first search approach. advanced chaining This technique is a way to find information or data that reveals conclusions through facts. In DFS, the leftmost node is where the lookup is performed. The search is carried out on the right node if the previous answer is found at the deepest level. In addition to using the HTML and PHP programming languages, black box testing is used to test the arowana fish expert system website. The design carried out by researchers on this website is limited to problem identification, conceptualization, research objectives, analysis of the necessary data, and the creation of an expert system for diagnosis of web-based arowana fish disease.
REKOMENDASI KELAYAKAN PEMINJAMAN PADA KOPERASI DENGAN METODE TSUKAMOTO lumban gaol, frenky lambas; Handoko, Koko
Computer Science and Industrial Engineering Vol 7 No 5 (2022): Comasie
Publisher : LPPM Universitas Putera Batam

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Technological developments from time to time are very rapid starting from the environment and technology where all needs are easily obtained both face-to-face and indirectly, namely through technology media. . Cooperatives are institutions or business entities within the community that are owned and operated by their members to fulfill common interests in the economic field. Cooperatives have a goal to improve the standard of living of cooperative members, help the lives of cooperative members in economic terms and become one of the savings and loan services. Fuzzy logic is one of the logics that is able to determine and produce fairer decisions and fuzzy logic is an improvement from Boolean logic which deals with the concept of partial logic. The Tsukamoto method is a method used to assist in providing recommendations quickly, precisely and accurately. The Tsukamoto method is the most monotonous of all methods in fuzzy logic. The way this method works is by assigning unequivocal values ​​to all data and finding the best average of each possibility as the final result..
Co-Authors Adam, Chairil Adriana, Lia ANDRIA, KIKI Andy Ari, jaya Ari Suhut Siregar Arisandy, Rizal Cawa, Yohanes Valendry Darmansah, Darmansah Deni, Irwansyah Derosari, Rosalinda Mentigasa DEROSARI, ROSALINDA MENTIGASA DEROSARI Eko Suharyanto, Cosmas Elan, Muhammad Elisa, Erlin Entini, Ayu Harman, Rika Hutahaean, Mangaratua Kesuma, Hendra Khoo, Rio Kusnanto, Romario lumban gaol, frenky lambas Marpaung, Andy Jhonatan Muhammad Iqbal Nainggolan, Brian Natanael NAPITUPULU, RIKKI LEONARDO Novri Adhiatma, Novri Rendi, Alvin Saputra, Juan Seldi, Yestiani Setyaji, Alvia Setyaji Sianipar, Agustinus Sihombing, Nita Anggrina Simanjuntak, Pastima Simanjutak, Pastima Sinaga, Karolina Steven Steven Sudarto, Piter Prasetyo Suharyanto, Cosmas Eko tampubolon, abdul chafid Tampubolon, Susi Susanti Tukino, Tukino Utami, Winda Putri Zebua, Alisa Zetli, Sri Zetly, Sri