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Genetic Algorithm To Optimize The Shortest Route for Indomaret Goods Suppliers Hardjana, Irawan Pudja; Subroto, Imam Much Ibnu; Alifah, Suryani
Journal of Telematics and Informatics Vol 12, No 1 (2024)
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v12i1.

Abstract

This research examines the application of genetic algorithms to optimize the distribution of goods from suppliers to Indomaret outlets in the East Tegal District area by modeling the problem as the Traveling Salesman Problem (TSP). A genetic algorithm is applied to determine the most efficient distribution route, which aims to reduce travel distance and operational costs. Distance data between location points is taken from Google Maps, and the optimization process involves forming an initial population, selection based on fitness function, crossover, and mutation. The research results show that the genetic algorithm can produce an optimal solution with the shortest distance of 9,700 meters, and the highest fitness value of 0.0001031. These findings provide an overview of the effectiveness of genetic algorithms in handling TSP in the context of goods distribution and have the potential for further development in distribution and logistics applications
A Fuzzy Logic Approach to Enhance GPS Accuracy for Blood Cooler Box Tracking Hariyono, Muhammad Akbar; Marwanto, Arief; Alifah, Suryani
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 6 No. 1 (2024): February
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/fbsvte54

Abstract

An innovative technological development, the position tracking system uses latitude and longitude coordinates to determine the GPS's location. The covid-19 pandemic has caused the demand for cool box delivery for convalescent blood plasma to increase significantly. The obstacle in the field is the hospital's position and patient rooms far from the reach convalescent donors, so they require a cool box for delivery. The problem is tracking the cool box accurately and precisely so that it can be monitored by the hospital properly. For this reason, it is necessary to increase the accuracy of the GPS position in the cool box by using fuzzy logic algorithms The Ublox NEO-6M is one GPS module that can be utilized for navigation. This module uses UART connection using the NMEA 0183 protocol and has an accuracy level of around 2.5 meters to 10 meters. In this research, validation of the accuracy of the GPS coordinate position was carried out on a Blood Cool Box device which was designed using the fuzzy logic method. The Sugeno method fuzzy logic algorithm is used to validate the accuracy of GPS coordinate positions based on latitude and longitude obtained from the GPS sensor module. The test results show a Mean Absolute Percent Error (MAPE) value of 21.66% which can be concluded that the Sugeno fuzzy logic method algorithm has forecasting model capabilities that are suitable for use as a validation method for testing GPS position coordinates.
Pengembangan Sistem Monitoring Manajemen Yayasan Badan Wakaf Sultan Agung Berbasis REST API Azmia, Hisnan Faudan; Subroto, Imam Much Ibnu; Alifah, Suryani
Prosiding Seminar Riset Mahasiswa Vol 1, No 1: Maret 2023
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini menerapkan teknologi web services dengan metode REST API pada Sistem Monitoring Manajemen Yayasan Badan Wakaf Sultan Agung untuk mengintegrasikan sistem yang berbeda platform dari unit yang berbeda sehingga kebutuhan informasi yang lengkap. Pengujian menunjukkan bahwa teknologi REST API berhasil merealisasikan interoperabilitas antara Sistem Monitoring Manajemen YBWSA dengan dua sistem lainnya yang berbeda platform. Pengujian REST API dilakukan dengan 2 cara yaitu dengan memasukan parameter sesuai dengan desain dari API Endpoint, dari pengujian tersebut REST API dapat mengembalikan data sesuai dengan parameter yang digunakan, kemudian jika data yang dicari maka akan mengembalikan HTTP Status Code ‘404’ (Not Found) dan jika parameter tidak sesuai maka REST API mengembalikan data dalam kondisi default atau tanpa parameter, dan pengujian kecepatan dari pengujian yang dilakukan terjadi perbedaan ketika menggunakan parameter dengan tidak menggunakan parameter misalkan pada API Endpoint /unissula/penelitian yang dilakukan sebanyak 10 kali yang masing-masing dalam satuan milisecond (ms). Untuk rata-rata kecepatan tanpa menggunakan parameter adalah 106, 2 milisecond, sedangkan dengan menggunakan parameter “judul=learning&kdProdi=55201” adalah 80 milisecond. Kecepatan request dari REST API dipengaruhi beberapa hal yaitu, penggunaan query, ukuran dari database, optimalisasi database seperti penggunaan query, index dalam tabel dan kecepatan jaringan internet.Kata Kunci : Interoperabilitas, REST API, Web Services
PERANCANGAN OTOMASI ALAT INFUS BERBASIS FUZZY LOGIC Lawrence Adi Supriyono; Arief Marwanto; Suryani Alifah
Elkom: Jurnal Elektronika dan Komputer Vol. 15 No. 1 (2022): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v15i1.785

Abstract

Starting from the development of medical technology that is increasingly sophisticated and rapidly growing,researchers conduct medical research, namely about patient infusion handling services. In handling patient infusion, currently it is still manual which is carried out by nurses / medical personnel. Infusion handling services for patients still have shortcomings, namely the process of monitoring and replacing infusion fluids which are often late. If the problem is not treated quickly, it can lead to problems, namely the presence of air embolism in the blood vessels (the entry of foreign objects into the blood vessels, for example air). From that problem, the researchers made a new innovation in medical technology in handling infusions automatically and based on IoT. In this study, the smart online infusion device that has been made has good features and is very effective in handling infusions. This device has 3 main functions, namely: it can monitor the remaining infusion, it can change the infusion fluid automatically and it can indicate a blocked patient's infusion. This device already has a method for processing data with fuzzy logic. Media monitoring has been supported by a website that can be controlled remotely and in real time. Tests have been carried out and the effectiveness of the system is found to have an error rate of 0.2% - 0.7% and has an accuracy of 98%. Thus this tool can be used in terms of handling patient infusion automatically.