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All Journal J-SAKTI (Jurnal Sains Komputer dan Informatika) IJISTECH (International Journal Of Information System & Technology) Brahmana : Jurnal Penerapan Kecerdasan Buatan Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) IJISTECH J-SAKTI (Jurnal Sains Komputer dan Informatika) Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) PUBLIDIMAS
Putri, Dini Ridha Dwiki
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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Mobile-Based Application Implementing the Dempster-Shafer Method for Diagnosing Post-Traumatic Stress Disorder (PTSD) Putri, Dini Ridha Dwiki; Fahlevi, Muhammad Reza; Putri, Fetty Ade; Indriani, Ulfah; Mardiyah, Miftahul; Andreansyah, Diaz
IJISTECH (International Journal of Information System and Technology) Vol 9, No 1 (2025): The June Edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v9i1.403

Abstract

Post-Traumatic Stress Disorder (PTSD) is a serious mental health condition that can develop after an individual experiences a traumatic event. Early diagnosis of PTSD symptoms is crucial to prevent more severe psychological and social impacts. This study aims to develop a mobile-based expert system application that implements the Dempster-Shafer method to independently diagnose the confidence level of PTSD symptoms. The system is designed with three main components: biodata input, a symptom selection interface based on 9 indicator questions, and an inference engine utilizing the Dempster-Shafer method with a Likert scale to assess the severity of trauma experienced by respondents. Testing was conducted on 47 respondents, and the analysis results showed that 19.1% were in the safe category, 4.3% in mild PTSD, 12.8% in moderate PTSD, and 63.8% in severe PTSD. Validity testing indicated that all symptom items had correlation values (r-calculated) greater than 0.2876, confirming their validity, and the instrument’s reliability was measured at α = 0.806. The application is capable of providing an initial diagnosis along with recommended actions based on the severity level of PTSD. This study demonstrates that applying the Dempster-Shafer method in a mobile application offers an effective, efficient, and accessible alternative solution for early PTSD diagnosis, especially for individuals with limited access to professional mental health services.
Penerapan Metode Analytical Hierarchy Process (AHP) Dalam Pemilihan Benih Padi Unggul Putri, Dini Ridha Dwiki; Fahlevi, Muhammad Reza; Indriani, Ulfah; Putri, Fetty Ade; Rahman, Maulia; Amali, Nailul
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 4, No 2 (2023): Edisi Juni
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v4i2.193

Abstract

Rice is the staple food source for the Indonesian nation. Quality rice is produced from superior rice seeds which have a high yield quantity. At present the agricultural sector is growing with many rice varieties emerging. Superior rice seeds are very important for farmers because rice seeds are the main factor that determine the success of rice cultivation. The existence of many choices makes farmers more careful in choosing the type of rice varieties that suit the soil structure and climatic conditions of the local agricultural environment. The Analytical Hierarchy Process (AHP) method is applied to determine the important criteria for rice varieties and to obtain alternatives that are in accordance with the environmental conditions of agricultural land. The alternatives used are the types of rice seeds in Indonesia, namely Inpari45, Baroma, Jeliteng, Pamelan, and Pamera. This Decision Support System was created to provide information and assist farmers in making decisions regarding the selection of rice seeds to be planted with the criteria of Upright Rice Height, Planting Age, Productive Saplings, and Yield Potential. By applying the AHP method to this Decision Support System, it is found that the best alternative has the highest value of 0.247.
Co-Authors Amali, Nailul Andreansyah, Diaz Batubara, Rini Oktari Hairun nisa Indriani, Ulfah Liswanty, Ina Mardiyah, Miftahul Masyitah, Emi Maulia Rahman MUHAMMAD REZA FAHLEVI Muhammad Sadikin Nasution, Farhan Syabandi Nasution, Farhan Sya’bandi Putri, Fetty Ade Syahrin, Elvin Syamanta, Arbana Utami, Rida Utomo, Mhd. Rizki Fajar