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All Journal JEECS (Journal of Electrical Engineering and Computer Sciences)
Ani Dijah Rahajoe
Universitas Bhayangkara Surabaya
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Route Optimization of Waste Carrier Truck using Breadth First Search (BFS) Algorithm Muhammad Fahreal Bernov; Ani Dijah Rahajoe; Budi Mukhamad Mulyo
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 7 No. 2 (2022): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1011.112 KB) | DOI: 10.54732/jeecs.v7i2.23

Abstract

Waste problems have always been the main focus which still occurs in cities and regencies in Indonesia, andalso Sidoarjo Regency is no exception. Increasingly rapid population growth is one of the factors in the increasingpiles of waste in Sidoarjo Regency. The large number of villages with long distances and a large area means that wastecollection cannot be carried out on time, causing accumulation of waste that disrupts residents' daily activities. Thewaste transportation system in Sidoarjo Regency has so far not been optimal because there are still several problemswith the accumulation of waste in several sub-districts.In this study, an optimal route search system was created using the Breadth First Search and Depth First SearchAlgorithms as a search comparison in order to make it easier for Sanitation Service officers to carry out the wastetransportation process by considering the optimal destination location route according to input from the user. Theresults of this study will display information on the comparison of the total distance traveled and the total volumetraveled by the Breadth First Search and Depth First Search algorithms with different differences.
KNN and Webgis Classification to Recommend Mountain Location According to Hiker Abilities Shagi Hisyam Al Fathony; Ani Dijah Rahajoe; Rifki Fahrial Zainal
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 7 No. 1 (2022): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (213.698 KB) | DOI: 10.54732/jeecs.v7i1.222

Abstract

The increasing number of climbers has an impact on the need for a system that can recommend mountains for climbingaccording to the ability of climbers. This study aims to create a system that can help climbers determine the mountainaccording to their abilities. Researchers use one of the methods in data mining, namely classification, using the K =Nearest Neighbor (K-NN) algorithm.This research has produced a web-based system where this system can classify and provide recommendationsaccording to the ability of climbers. This system is equipped with a hiking trail map which is expected to help make iteasier for climbers to choose the mountain they will climb.
Decision Support System for Inheritance Distribution According to Islamic Law Using the Forward Chaining Method Mas Nurul Hamidah; Arif Arizal; Andriano Lukas; Rifki Fahrial Zainal; Ani Dijah Rahajoe
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 6 No. 2 (2021): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1176.992 KB) | DOI: 10.54732/jeecs.v6i2.206

Abstract

The rapid development of information technology in all aspects of the field in this digital era is very important, such as in the fields of business economics, agriculture, culture and religion. In the religious field, technological advances will make it easier for people to learn and seek information in the religious field, as is the case in the issue of inheritance distribution which so far not all people understand it, and also the limited number of experts in the field of inheritance. Religious science is expected to provide a way to learn about inheritance easily, and with this expert system the community will be facilitated in terms of inheritance distribution problems using the forward chaining method, the system will be tested with a 100% accuracy level value in 10 tests with variables different heirs, from the test results, it is found that the system can be used properly.
Co-Authors Andriano Lukas Arif Arizal Budi Mukhamad Mulyo Mas Nurul Hamidah Muhammad Fahreal Bernov Rifki Fahrial Zainal Shagi Hisyam Al Fathony