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All Journal Jurnal Teknimedia: Teknologi Informasi dan Multimedia
Muhammad Azmi
STMIK Syaikh Zainuddin Nahdlatul Wathan Anjani
Computer Science & IT Control & Systems Engineering Engineering

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Sistem Pakar Diagnosa Penyakit Ginjal dengan menggunakan Algoritma Bayes Khoironi; Abdul Rosyid; Muhammad Azmi
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 1 No. 2 (2020): Desember 2020
Publisher : Badan Penelitian dan Pengabdian Masyarakat (BP2M) STMIK Syaikh Zainuddin NW Anjani

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (201.674 KB) | DOI: 10.46764/teknimedia.v1i2.24

Abstract

Expert systems are computer-based systems that use knowledge, facts and reasoning techniques to solve problems that usually only an expert can solve in a particular field. Expert systems provide added value to technology to assist in an increasingly sophisticated information age. This expert system application produces output in the form of possible kidney disease based on the symptoms felt by the user. This system uses the Bayes method. The system will look for the highest probability value, from various possible types of disease based on the information requested by the user and exclude the user. The system for diagnosing kidney disease is determined by determining the type of disease based on the user's symptoms. The resulting Bayes value is between 0 and 1. If the resulting Bayes value is continuous, the higher the certainty that the disease is affected. In fact, if the resulting Bayes value is continuous, the less certain the disease involved is.
INTERNET OF THINGS UNTUK INFORMASI CUACA MENGGUNAKAN NODE MCU Ahmad Pakhrul Islam; Lalu Puji Indra Kharisma; Muhammad Azmi
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 3 No. 1 (2022): Mei 2022
Publisher : Badan Penelitian dan Pengabdian Masyarakat (BP2M) STMIK Syaikh Zainuddin NW Anjani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46764/teknimedia.v3i1.60

Abstract

Weather is one of the natural factors that have both positive and negative effects on human life depending on how it is used and the influence of weather aspects on the work or activities carried out. Thus making weather information important things to know, especially for the food industry that uses sunlight for drying, as well as activities carried out outdoors. One way to find out the weather is to look at the weather forecast that has been provided on the site of a weather information service provider such as BMKG, but sometimes the information is intended for a large area, so there will be differences in the weather at certain locations. One way to overcome this is to create a tool that can read the weather in a local area, then it can be accessed via a website using the Internet Of Things (IOT) concept. This research was conducted using the waterfall method to produce a tool using an MCU Node that can read the weather in the local area, then sends the data to databased on a web server as well as a website page that can display weather information from a databased server where data is stored as a result of reading the weather. the tool. After the testing process, there are differences in the readings on the weather from the equipment placed in Anjani Village, Suralaga Sub-district with weather predictions for East Lombok Regency ranging from 1-5°C to read temperature, and 0-20%RH to read humidity. As for the results of reading the rain sensor there is no difference at all.
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN KARYAWAN TERBAIK MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING PADA BENGKEL SEROJA MOTOR Widia Nisnaini; Lalu Puji Indra Kharisma; Muhammad Azmi
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 3 No. 2 (2022): Desember 2022
Publisher : Badan Penelitian dan Pengabdian Masyarakat (BP2M) STMIK Syaikh Zainuddin NW Anjani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46764/teknimedia.v3i2.76

Abstract

Bengkel Seroja Motor is a workshop as well as a shop located in Kotaraja Village, Sikur District, East Lombok Regency. Currently, the increasing number of employees who come from different educational backgrounds makes the diversity of employees also increasingly complex, making it difficult to choose the best employees. Therefore, it is necessary to develop a Decision Support System as an alternative solution, so as to increase efficiency and ef- fectiveness in the selection and improve quality in determining the best employees. The decision support system for determining the best employees uses the SAW (simple additive weighting) method based on predetermined criteria and weights. The criteria used as indicators are absenteeism, discipline, work attitude, responsibility, and per- formance. The SAW (simple additive weighting) method was chosen because it is able to select the best alternative from a number of alternatives. This research was conducted by looking for the weights on each attribute, then ranking to determine the best employees. In this study using the Waterfall methodology, which is a software development method that begins with ana- lyzing company needs, designing, building applications, to conducting trials. The results of this study are in the form of a decision support application, which can recommend the best employees at the Seroja Motor Workshop.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN JURUSAN SEKOLAH MENENGAH KEJURUAN (SMKN 1 MASBAGIK) DENGAN METODE ROC DAN SAW Zulkarnaen Zulkarnaen; Muhammad Azmi; Baiq Suci Nur Islamia; Yudi Sutaryana
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 6 No. 2 (2025): Desember 2025
Publisher : Badan Penelitian dan Pengabdian Masyarakat (BP2M) STMIK Syaikh Zainuddin NW Anjani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46764/teknimedia.v6i2.331

Abstract

Choosing a major at the vocational high school (SMK) level is a crucial decision that significantly influences students' educational and career paths. However, many students face difficulties in selecting a major that aligns with their interests and abilities. To support this process, this study designs a decision support system that integrates the Rank Order Centroid (ROC) and Simple Additive Weighting (SAW) methods. ROC is used to determine the weight of each criterion, while SAW is utilized to calculate the final score based on those weights. The system processes student data consisting of mathematics grades, science grades, English grades, and computer interest. The test results show that the system successfully recommends the most suitable major, with the highest score achieved in the TG (Technical Drawing) department for student A1. This system is expected to assist schools in assigning majors more objectively and accurately
Co-Authors Abdul Rosyid Ahmad Pakhrul Islam Baiq Suci Nur Islamia Khoironi, Khoironi Lalu Puji Indra Kharisma Widia Nisnaini Yudi Sutaryana Zulkarnaen Zulkarnaen