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Journal : International Journal Software Engineering and Computer Science (IJSECS)

Location-Based Application for Reporting Sexual Violence Wahyudi, Rian Tri; Wahyuni, Elyza Gustri
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 2 (2024): AUGUST 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i2.2814

Abstract

Sexual violence is a significant and increasing issue in Indonesia, with severe impacts on the physical health, psychological well-being, and overall welfare of victims. On campuses, these incidents often remain unreported due to factors such as shame, fear, and the absence of secure reporting mechanisms. Universitas Islam Indonesia (UII) has established a Task Force for the Prevention and Handling of Sexual Violence (PPKS) and implemented specific regulations to address these issues. This research aims to develop a location-based reporting application for sexual violence incidents within the UII campus. The Android application utilizes technologies such as Global Positioning System (GPS), Google Maps API, Geolocation API, and Firebase to enable real-time incident reporting. Users can report incidents by providing identification, location data, and video evidence, which supports investigations by the PPKS Task Force at UII. The results demonstrate that the application is effective as a reporting medium for sexual violence on campus. The integration of GPS, Google Maps API, and Geolocation API facilitates efficient geographic positioning, while Firebase is employed as a backend solution for secure and organized data storage and management, allowing rapid access by the PPKS Task Force. This application enables the PPKS Task Force to monitor and respond to reports promptly, enhancing the safety and confidence of victims. Therefore, the application is anticipated to become an essential tool in the prevention and management of sexual violence at UII.
Comparison of SAW and TOPSIS Methods in Decision Support Systems for Contraceptive Selection Susilo, Joko; Wahyuni, Elyza Gustri
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 2 (2024): AUGUST 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i2.2815

Abstract

Family Planning (FP) is a crucial initiative in enhancing the quality of life and health of mothers and children. However, selecting the appropriate contraceptive method remains a significant challenge for many couples of reproductive age. This study proposes the development of a web-based Decision Support System (DSS) that integrates the Simple Additive Weighting (SAW) method and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) at Zahra Harapan Bunda Clinic. The system aims to provide accurate recommendations for selecting contraceptive methods, record data, monitor users, and remind acceptors of consultation schedules. The results indicate that the SAW method is more consistent and aligns more closely with expert recommendations compared to TOPSIS, with a higher conformity percentage ranging from 66.25% to 92.5%. In contrast, TOPSIS showed a lower conformity percentage, ranging from 25.89% to 78.03%. These findings suggest that SAW more accurately reflects expert recommendations and is therefore considered more effective for selecting contraceptive methods. The study recommends the use of the SAW method for decision-making in contraceptive method selection and suggests further research to expand and validate this approach in a broader range of applications.