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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
Azhari SN
Jurusan Ilmu Komputer dan Elektronika, FMIPA UGM, Yogyakarta
Computer Science & IT Control & Systems Engineering

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Ant Colony Optimization on Crowdsourced Delivery Trip Consolidation Victor Paskalathis; Azhari SN
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 11, No 2 (2017): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.16631

Abstract

Common practice in crowdsourced delivery services is through direct delivery. That  is by dispatching direct trip to a driver nearby the origin location. The total distance can be reduced through multiple pickup and delivery by increasing the number of requests in a trip.The research implements exact algorithm to solve the consolidation problem with up to 3 requests in a trip. Greedy heuristic is performed to construct initial route based on highest savings. The result is then optimized using Ant Colony Optimization (ACO). Four scenarios are compared. A direct delivery scenarios and three multiple pickup and delivery scenarios. These include 2-consolidated delivery, 3-consolidated delivery, and 3-consolidated delivery optimized with ACO. Four parameters are used to evaluate using Analytical Hierarchical Process (AHP). These include the number of trips, total distance, total duration, and security concerns.The case study is based on Yogyakarta area for a whole day. The final route optimized with ACO shows 178 requests can be completed in 94 trips. Compared to direct delivery, consolidation can provides savings up to 20% in distance and 14% in duration. The evaluation result using AHP shows that ACO scenario is the best scenario. 
Pengembangan Aplikasi Tes Kepribadian Berbasis Intelligent Agent Menggunakan Metode Summary Azizah Fatmawati; Azhari SN; Nisa RNA
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 10, No 2 (2016): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.17521

Abstract

Saks Sentence Completion Test (SSCT) is one of the projective tests for revealing personality dynamics that is able to show characters of someone toward his or her interpersonal relationship and interpretation to environment. Normally, this kind of test is conducted by psychologists where they have very important and complicated task to interpret respondents' answer test. However, since the advance development of intelligent agent based system, the task that is previously complicated for psychologist now becoming easier. They just need to delegate intelligent agent software to interpret the test result from respondent in order to decide the test result.In this research we developed an intelligent agent software using Java Agent Development Framework (JADE) and BDI as agents architecture with Prometheus method. The application development focuses on how to utilize summary method to generate answer model from SSCT while the psychologists are able to obtain interpretation result immediately.Results showed that the average percentage of successfully identified answers by the model reaches 59.00% while the average percentage of its accuracy is 95.13%. Moreover, by using four agents that are communicating each other psychologists may obtain the test result.
Co-Authors Azizah Fatmawati Nisa RNA Victor Paskalathis