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All Journal SITEKIN: Jurnal Sains, Teknologi dan Industri InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Jurnal Teknovasi : Jurnal Teknik dan Inovasi Mesin Otomotif, Komputer, Industri dan Elektronika JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Mantik MES: Journal of Mathematics Education and Science Journal of Applied Engineering and Technological Science (JAETS) Journal of Computer System and Informatics (JoSYC) INFOKUM Jurnal Pengabdian kepada Masyarakat Nusantara JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) JPM: JURNAL PENGABDIAN MASYARAKAT Jurnal Pengabdian Masyarakat IPTEK pendidikan, science, teknologi, dan ekonomi Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Jurnal Matematika Dan Ilmu Pengetahuan Alam LLDikti Wilayah 1 (JUMPA) SWARNA Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Journal Global Technology Computer Electronic Integrated Computer Algorithm Journal SWARNA: Jurnal Pengabdian Kepada Masyarakat Jurnal Sistem Informasi dan Teknologi Jaringan
Putra, Purwa Hasan
Politeknik Negeri Medan, Medan, Indonesia
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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
Application of Data Mining in the Best Classification of Animal Feed Types Purwa Hasan Putra
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

The company's goal is to produce high quality aquaculture products such as feed, seeds, pet feed, probiotics to shrimp products and processed food for the domestic and export markets. The company is still experiencing difficulties in determining the appropriate composition for the manufacture of animal feed. So that the animal feed produced has poor quality. Therefore, we need a decision support system that can assist in the process of determining the composition in the manufacture of animal feed. Because Data Mining is a computer-based system capable of solving unstructured problems. To be able to assist in the process of determining the composition of the company's animal feed, the author uses the Multi Factor Evaluation Process method. The Multi Factor Evaluation Process method is a method that breaks up a complex, unstructured situation into its component parts, the Multi Factor Evaluation Process method is a specification of the problem, in which decision makers must evaluate each alternative with multiple specific criteria. From the results of the study, it can be concluded, among others: The company must provide supporting equipment to run the application of the MFEP Method in Determining the Composition of this Feed so that it runs as desired. To achieve the purpose of the application of the MFEP Method Application in Determining the Composition of Animal Feed that is designed, it is hoped that this research can continue so that the system can be based on Client-Server and Online.
Co-Authors A, Azanuddin Ade Maulana Adhitya Pratama, Yudhistira Alfiansyah Hasibuan Azzanuddin, Azzanuddin Dalimunthe, Yulia Agustina Dhitisari, Indri Efni Siregar & Vivianti Novita - F. Friendly Fawwaz, Insidini Friendly, Friendly Harizahayu, Harizahayu Hasibuan, Alfiansyah Hasnita, Ulfa Hiya, Nirmadarningsih Julham Julham Julham Lavenia Ulandari Lubis, Arif Ridho Marpaung, Effenril Agung Medi Hermanto Tinambunan Mohamad Zain, Jasni Bt Mughnyanti, Mayang Muhammad Rizki Muhammad Rusdi dan Afritha Amelia - Muhammad Syahputra Novelan Nababan, Adli Abdillah Nababan, Arif Hamied Ningtyas, Alyiza Dwi Nugroho Syahputra Nurlinda Nurlinda Nurlinda, Nurlinda Nurrahmadayeni, Nurrahmadayeni Pranata, Ardianto Prayudani, Santi Purba, Bister Rahmat Widia Sembiring - Ramli, Muslim Roslina Roslina, Roslina Selvida, Desilia Silalahi, Oktavia Ully Artha Tasril, Virdyra Wiwin Sry Adinda Banjarnahor Yusoff, Marina Yuyun Yusnida Lase Zulfahmi Syahputra Zulfahmi Syahputra