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All Journal Journal of Computer System and Informatics (JoSYC) Urecol Journal. Part F: Community Development
Jalaluddin, Alif
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Computer Science & IT Decision Sciences, Operations Research & Management Environmental Science Industrial & Manufacturing Engineering Social Sciences

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Karang Taruna Skills Training in Management and Sustainability of Websites as Publication Media for Karanganyar Tourism Village Suryaningtyas, Annis Azhar; Andarini, Rachmawati Yulia; Jalaluddin, Alif; Ayu, Putri Java Esya; Kustanto, Yoga; Pamungkas, Diaz Resnu
Urecol Journal. Part F: Community Development Vol. 3 No. 1 (2023)
Publisher : Konsorsium LPPM Perguruan Tinggi Muhammadiyah 'Aisyiyah (PTMA) Koordinator Wilayah Jawa Tengah - DIY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53017/ujcd.251

Abstract

The importance of digital publication of tourism villages. In fact, Karanganyar village already has a publication media in the form of a website with the address www.karanganyarborobudur.com. The information presented includes activities, tourism potential, and village cultural attractions. However, this publication activity is still not optimal. There are three factors that become obstacles in the consistency of managing the Karanganyar Village website. First, there are limited human resource skills in managing, developing, and producing published content on the website. Then, there is still no sustainable organization of website management as a village publication media by a legitimate village government. Finally, there is no transparency in communication and coordination between villages and youth organizations in managing the website. Therefore, the publication of tourism potential and activities in Karanganyar Village has not been able to spread outside. The implementation phase of integrated community service activities in Karanganyar Village is carried out for two months. The series of activities are the implementation of situation analysis, planning, implementation, as well as evaluation and reporting. The result of holding PPMT activity period V is that Karanganyar villagers get additional soft skills, namely the ability to process websites, write news properly and correctly in accordance with a communicative news writing structure, and have a clear organizational structure for website admin managers.
Implementasi Metode Dempster-Shafer Untuk Deteksi Kesehatan Mental Pada Mahasiswa Berbasis Web Jalaluddin, Alif; Arumi, Endah Ratna; Sasongko, Dimas; Pinilih, Sambodo Sriadi; Yudatama, Uky; Arif Yudianto, Muhammad Resa
Journal of Computer System and Informatics (JoSYC) Vol 5 No 2 (2024): February 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i2.4830

Abstract

Mental health is a person's soul condition to budaptasi in its environment to feel happy or get the comfort of life, so as not to experience mental disorders. Often mental health is ignored by most people because it is different from physical health that can be seen directly with the eyes and can be identified easily. Lack of awareness of mental health in the life of the people of Indonesia and the assumption that a person who goes to psychologists is a person inseasonable, often the individual who actually undergoes mental health problems reluctant to get help from experts or deny that he does not have mental health problems. Limitations of time and costs are also one of the constraints of a student reluctant to get help from experts like psychologists. Therefore, a web-based expert system is built with a dempster-shafer method to use as detection on the student and allows the user to know whether the user has a tendency of the problem on its mental health or not before the official consultation is required from the expert. Testing Accuracy Comparison System between the results of the system and experts by using 100 correspondents from students at Muhammadiyah Magelang University (UNIMMA) 89% know mental health and 65% have experienced mental disorders. The results of the SRQ29 data used and were spread among campus students, this study has used 20 sample data and produces 70% expert suit compliance. From the results of expert suitability obtained from the calculation of the system by selecting symptoms and automatically the system will calculate the accuracy of the existing Belief Valident in every symptom. Then the system will take decisions based on the results of the largest calculation value.
Co-Authors Andarini, Rachmawati Yulia Ayu, Putri Java Esya Dimas Sasongko Endah Ratna Arumi, Endah Ratna Kustanto, Yoga Muhammad Resa Arif Yudianto Pamungkas, Diaz Resnu Sambodo Sriadi Pinilih Suryaningtyas, Annis Azhar Uky Yudatama, Uky