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All Journal JOURNAL OF INFORMATICS AND COMPUTER SCIENCE JOURNAL OF EDUCATION SCIENCE JOURNAL OF INFORMATICS AND COMPUTER SCIENCE INFOKUM Brilliance: Research of Artificial Intelligence DCS: Jurnal Pengabdian Masyarakat
Nurul Hamdi
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Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Mathematics Public Health Other

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Journal : INFOKUM

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DECISION SUPPORT SYSTEM FOR THE DETERMINATION OF WEB-BASED GAYO ARABICA COFFEE BEANS WITH WEIGHTED PRODUCT (WP) METHOD Nurul Hamdi
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (470.854 KB)

Abstract

The weakness of coffee entrepreneurs during this time is still the lack of knowledge about the sorting of the assessment the results sorting of coffee beans. So far the selection of coffee beans is still using the manual way but the coffee beans will be in the process will be sorted election to determine the quality. This condition causes producers inefficient and accurate in determining the quality of coffee beans because of insufficient technology to manage the quality determination of coffee beans that require manufacturers to analyze the quality of coffee beans using a system based on standardization assessment by the International coffee organization (ICO). To facilitate the manufacturer in this case, the authors build a decision support system of the determination of the sorting of coffee beans that can provide solutions that have been faced to produce quality coffee beans. To support this research, the data collection criteria from the International coffee organization (ICO) as data to conduct the quality assessment. The decision support system is formed using PHP, HTML, and MYSQL programming language as system database, weighted product as its design method. this decision support system is built by adding criteria to reduce the level of subjectivity, and the impact on the results of determining the quality of coffee beans is given to be more accurate and precise.
IDENTIFICATION OF THE SEA BASE OF ACEH ISLAND USING FISHFINDER COMPUTER WITH ECHO SOUNDER SYSTEM Nurul Hamdi
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (288.106 KB)

Abstract

This study will identify the seabed using a Fishfinder computer with an Echo Sounder System, by taking the output data from the tool. The GARMIN Fishfinder 160 Blue is one of the best echo sounders out there today. This tool is a simple echo sounder, this tool can only measure water depth in one ping. A good system is a system that can identify the profile of the seabed. Therefore, a tool that can work optimally is made to display the profile of the seabed by utilizing the results of measurements of seabed depth per ping. This GARMIN Fishfinder 160 Blue can display the contours of the seabed, but this tool works based on a Microcontroller and is displayed on an LCD (Liquid Crystal Display). Indonesia is known as an archipelagic country which is also known as a maritime or maritime country. Indonesia's marine area reaches 5.8 million km2. This sea area is equal to about 70% of the total area of Indonesia. This means that Indonesia's sea area is larger than its land area. The results of the tests carried out are software that is built from the results of the design as expected in terms of accuracy and describes the depth point, so that it can form a seabed profile with the scale made. From the results of testing the Echo Sounder tool (GARMIN Fishfinder 160 Blue) at rest, the measurement error is relatively very small, below 5%. This means that this tool can still be used for research purposes. During software testing, there was a delay (delay) in displaying the basic in situ profile, compared to the GARMIN Fishfinder 160 Blue. Data retrieval of water depth when moving past 4 (four) points has the same value of water depth at 4 (four) points which have been previously measured using Hyperterminal..
Co-Authors Albar, Rizka Alfianda Almaira, Widya Bako, Arpaini Dahlina, Dahlina Elfitha, Desy Sukma Fazlina, Putri Ferdiansyah, Dean Fikri, Muhammad Fajar Fiqram, Muhammad Herawati Herawati Junidar Junidar Junidar, Junidar Junidar, Junidar Kautsar, Al Mahendra, Aldi Rizki Muhammad Juanda Saputra Nargaza, Juanda Nuzulidar Nuzulidar Nuzulidar, Nuzulidar Pardi Pardi, Pardi Periskila Dina Kali Kulla Prayudi, Dedi Said Ashlan, Said Saputra, Muhammad Juanda Serianti, Putri TB, Desita Ria Yusian Utama, Rizki Julia Wibawa, M. Bayu Zainal Muttaqin