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Kampung Wisata Purbayan: Integrasi Teknologi dalam Harmonisasi Nilai Keagamaan dan Budaya As'ad, Ihwana; Harun, Makmur; Azuz, Faidah; Alwi, Muhammad; Firmiaty, Sri; Sugiarti; Hayati, Lilis Nur; Tenripada, A Ulfah
Open Community Service Journal Vol. 4 No. 2 (2025): Open Community Service Journal
Publisher : Research and Social Study Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33292/ocsj.v4i2.165

Abstract

Latar Belakang: Kampung Wisata Purbayan merupakan kawasan heritage yang memiliki potensi besar dalam pengembangan pariwisata berbasis budaya dan sejarah. Keterbatasan masyarakat dalam melakukan promosi mengakibatkan banyak potensi wisata seperti situs sejarah Mataram Islam, arsitektur tradisional Jawa, dan kerajinan lokal belum optimal. Kondisi ini menunjukkan perlunya penguatan kapasitas masyarakat dalam mengelola dan mempromosikan desa wisata secara lebih efektif melalui edukasi, pendampingan, dan pemanfaatan teknologi digital.Tujuan: Pengabdian dilaksanakan untuk mengoptimalkan pemanfaatan potensi budaya, sejarah, dan nilai keagamaan di Kampung Wisata Purbayan dalam pengembangan wisata, dan masih rendahnya penggunaan teknologi digital sebagai media promosi dan edukasi.Metode: Metode yang digunakan adalah sosialisasi dengan melibatkan pemangku kepentingan lokal (pengelola kampung, UMKM, tokoh masyarakat) aktif dalam perancangan, pelaksanaan, dan evaluasi intervensi promosi digital dan edukasi wisata halal.Hasil: Hasil pelaksanaan kegiatan Pengabdian kepada Masyarakat (PkM) Internasional di Kampung Wisata Purbayan menunjukkan bahwa masyarakat memiliki potensi yang kuat dalam mengembangkan wisata berbasis nilai agama dan budaya. Kegiatan yang dilaksanakan pada 12–18 Maret 2023 dan melibatkan 67 peserta dari Indonesia, Malaysia, dan Suriname menghasilkan tiga temuan utama: (1) penguatan identitas religius dan budaya lokal sebagai basis pengembangan wisata, (2) peningkatan kapasitas masyarakat dalam memanfaatkan teknologi digital untuk promosi wisata.
Enhancing Digital Literacy Through the Introduction of Robotics and Scratch for Primary School Students in Kedah, Malaysia Syafie, Lukman; Herman, Herman; As'ad, Ihwana; Badriah, Anita
Mattawang: Jurnal Pengabdian Masyarakat Vol. 6 No. 4 (2025)
Publisher : Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.mattawang4519

Abstract

This community service program aims to improve digital literacy among elementary school students in Kedah, Malaysia through introducing robotics and Scratch programming. The main issue faced was students' limited exposure to computational thinking and STEM-based learning. Through intensive training provided by Universitas Muslim Indonesia, students from 13 schools were equipped with fundamental skills in visual programming using Scratch and basic robotics concepts. The training was officially opened by the Special Officer to the Minister of Education Malaysia and covered introduction to computational thinking, hands-on Scratch programming, and educational robotics demonstrations. Results showed significant improvement in students' understanding of programming concepts and increased enthusiasm towards technology. Additionally, an educational module was created for continued learning. The program successfully enhanced students' digital literacy and received strong appreciation from school principals who expressed interest in ongoing collaboration for similar activities.
Decision Support System on Independent Curriculum Learning Models with Artificial Intelligence at Islamic Universities Efriyanti, Liza; As'ad, Ihwana
ILKOM Jurnal Ilmiah Vol 17, No 1 (2025)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v17i1.2082.74-85

Abstract

The design of curricula in Islamic universities frequently encounters difficulties in addressing the evolving needs of students, industry demands and the distinctive integration of Islamic values. Conventional methodologies are inadequate in their capacity to adapt to the evolving needs of the modern educational landscape. Furthermore, the integration of artificial intelligence (AI) in this domain remains underdeveloped, with many instances overlooking the crucial role of religious principles and institutional characteristics. This study addresses this gap by developing a Decision Support System (DSS) using Mamdani type 1 fuzzy logic, with the objective of assisting in determining an independent curriculum learning model tailored to Islamic higher education. The system incorporates a number of input variables, including student needs, industry requirements, institutional characteristics and data analysis. The output variables include an evaluation of the suitability of the learning model and a recommendation as to the most appropriate model. To illustrate, in situations where student needs are high, industry demands are moderate, institutional characteristics are high, and data analysis is moderate, the recommended model places an emphasis on balancing theoretical knowledge with practical application, while also aligning with Islamic values.  The validation of this AI-based model, utilizing 2023 historical data from five Islamic universities in West Sumatra, yielded an average Mean Absolute Error (MAE) of 0.64, thereby demonstrating good predictive accuracy. The integration of AI in this system facilitates data-driven decision-making, thereby enhancing the relevance and adaptability of the curriculum. It has the potential to improve the quality of education, support balanced student learning outcomes, and ensure alignment with Islamic principles, making it a transformative tool for curriculum development in Islamic higher education.
K-Nearest Neighbors Analysis for Public Sentiment towards Implementation of Booster Vaccines in Indonesia As'ad, Ihwana; Asis, Muhammad Arfah; Pakka, Hariani Ma'tang; Mursalim, Randi; Noor, Yusnita binti Muhamad
ILKOM Jurnal Ilmiah Vol 15, No 2 (2023)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v15i2.1561.365-372

Abstract

In order to prevent the spread of COVID-19 in Indonesia, the Government of the Republic of Indonesia has been implementing a booster vaccine program since January 12th, 2022, with priority for the elderly and vulnerable groups as well as those who got the second C-19 vaccine longer than 6 months. The implementation of this program raised many pros and cons among public which were expressed either positively or negatively through social media. Therefore, sentiment analysis is needed to examine these phenomenons. This study aims to determine the positive and negative response from public by employing K-Nearest Neighbor method. A total of 2,000 commentary data were collected to be in turn classified based on positive and negative sentiments. There are 500 comments used as training data and divided equally to positive and negative class, each consists of 250 data. Using the value of K = 9, the results show a positive sentiment of 43% while a negative sentiment of 57%. Based on the validity test using 10-fold cross validation, an accuracy of 82.60% was obtained, a recall value was 82.60% with a precision of 83.89%.