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Penerapan Metode SWARA untuk Menentukan Prioritas Program Pengabdian Masyarakat di Perguruan Tinggi Erika Puteri Wulandari; Dena Nur Ainiyah; Murnawan Murnawan
IJAI (Indonesian Journal of Applied Informatics) Vol 8, No 1 (2023)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijai.v8i1.77240

Abstract

AbstrakProgram pengabdian masyarakat merupakan salah satu bentuk kontribusi perguruan tinggi dalam memenuhi kebutuhan masyarakat. Namun, dalam melaksanakan program tersebut, seringkali terdapat banyak program yang diusulkan namun sumber daya terbatas. Oleh karena itu, pemilihan prioritas program pengabdian masyarakat perlu dilakukan secara efektif dan efisien. Metode SWARA (Stepwise Weight Assessment Ratio Analysis) telah digunakan sebagai salah satu pendekatan dalam pengambilan keputusan multi-kriteria yang dapat diaplikasikan dalam pemilihan prioritas program pengabdian masyarakat di perguruan tinggi. Metode ini memungkinkan pengambil keputusan untuk memberikan bobot pada kriteria-kriteria yang relevan dan mengukur nilai relatif setiap program yang diajukan. Penelitian ini bertujuan untuk menggunakan metode SWARA dalam pemilihan prioritas program pengabdian masyarakat di perguruan tinggi. Hasil penelitian ini diharapkan dapat memberikan rekomendasi prioritas program pengabdian masyarakat yang dapat membantu perguruan tinggi dalam mengalokasikan sumber daya secara optimal.===================================================AbstractCommunity service programs are one of the forms of a university's contribution to meeting the needs of society. However, in implementing these programs, there are often many proposed programs but limited resources. Therefore, the prioritization of community service programs needs to be done effectively and efficiently. The SWARA method (Stepwise Weight Assessment Ratio Analysis) has been used as one approach in multi-criteria decision making that can be applied in prioritizing community service programs in universities. This method allows decision-makers to assign weights to relevant criteria and measure the relative values of each proposed program. This research aims to use the SWARA method in prioritizing community service programs in universities. The results of this study are expected to provide recommendations for prioritizing community service programs that can assist universities in allocating resources optimally.
Open Government Data-Based Smart Tourism Analytics: A Conceptual Governance Framework Ucu Nugraha; Murnawan; Zakiah Darajat
Journal of Information System and Informatics Vol 8 No 4 (2026): August
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i4.1718

Abstract

Digital transformation and Open Government Data (OGD) offer opportunities for more transparent, evidence-based, and sustainable tourism governance. However, prior smart tourism and OGD studies remain fragmented, often addressing data publication, analytics, governance, visualization, or sustainability evaluation separately. This study develops an initial conceptual framework for OGD-based Smart Tourism Analytics to support sustainable destination governance. The method combines a structured Scopus-only search, PRISMA-based screening, Biblioshiny mapping, systematic literature synthesis, and layered framework derivation. Of 68 Scopus records published during 2021–2026, 32 documents were selected, comprising 19 core studies and 13 contextual evidence sources. The analysis identifies persistent gaps in OGD integration, analytics readiness, governance control, stakeholder-oriented visualization, and outcome evaluation. The proposed framework includes five layers: OGD integration, smart analytics, decision support and visualization, sustainable destination governance, and tourism outcome evaluation. Pangandaran is used only as an illustrative application context, not as empirical validation. No prototype or live API integration was tested. Accordingly, the framework remains conceptual and requires prototype development, live API integration, and field validation with local governments.