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All Journal INFORMASI (Jurnal Informatika dan Sistem Informasi) Gunung Djati Conference Series
Asto Purwanto
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Religion Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Economics, Econometrics & Finance Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Other

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INTEGRATING ISLAMIC ECONOMIC VALUES AND INFORMATION SYSTEMS IN SUSTAINABLE TOURISM: A CASE STUDY OF RESILIENCE IN BADUY, BANTEN Novi Rukhviyanti; Asto Purwanto; Putri Adinda
Gunung Djati Conference Series Vol. 56 (2025): Seminar Nasional Ekonomi dan Bisnis Islam
Publisher : UIN Sunan Gunung Djati Bandung

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Abstract

This study examines the integration of Islamic economic values and information systems in promoting sustainable tourism, focusing on the resilience of the Baduy community in Banten, Indonesia. Sustainable tourism has emerged as a critical global agenda, requiring ethical, cultural, and technological alignment to ensure long-term socio-economic and environmental benefits. Islamic economic principles, such as justice, balance, and prohibition of exploitation, offer a normative framework for ethical tourism development. Concurrently, information systems play a pivotal role in enhancing tourism management, data-driven decision-making, and cultural preservation. Through a comprehensive literature review of scholarly works published over the last decade, this study synthesizes insights from peer-reviewed journals, academic books, and institutional reports. The findings reveal that integrating Islamic values with advanced information systems can foster community resilience while maintaining cultural authenticity. The Baduy community exemplifies a unique case where traditional values intersect with modern technological approaches to sustain tourism without compromising indigenous identity. This integration also provides practical implications for policymakers, tourism practitioners, and local stakeholders in designing inclusive and sustainable tourism strategies. The study highlights the need for collaborative frameworks that bridge religious ethics and technological innovation in tourism. Ultimately, the research contributes to the theoretical discourse on value-based sustainable tourism while offering actionable recommendations for culturally sensitive destinations.
Penerapan Algoritma K-Means Clustering pada Mall XYZ Menggunakan Teknik Data Mining Asto Purwanto; Ichsan Ibrahim; Afrizal; Hendra Gunawan
INFORMASI (Jurnal Informatika dan Sistem Informasi) Vol 17 No 2 (2025): INFORMASI (Jurnal Informatika dan Sistem Informasi)
Publisher : LPPM STMIK Indonesia Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37424/informasi.v17i2.451

Abstract

Kemajuan dalam teknologi data mining membuka peluang signifikan bagi organisasi untuk mengambil keputusan yang berbasis pada data, terutama dalam mengungkap pola perilaku pelanggan. Studi ini bertujuan menerapkan algoritma K-Means Clustering guna melakukan segmentasi pelanggan di Mall XYZ, dengan fokus pada dua variabel kunci: pendapatan tahunan dan skor belanja. Pendekatan ini memungkinkan pihak manajemen mall merancang strategi pemasaran yang lebih terarah dan efisien. Dataset yang digunakan telah melalui proses normalisasi menggunakan Standard Scaler, sehingga memastikan kedua fitur berada dalam skala yang sebanding. Jumlah klaster optimal ditentukan melalui metode elbow berdasarkan nilai inertia, yang menghasilkan lima kelompok pelanggan. Hasil analisis mengungkap keberadaan segmen pelanggan bernilai tinggi yaitu mereka yang memiliki pendapatan dan frekuensi belanja tinggi yang memberikan kontribusi besar terhadap pendapatan mall. Di sisi lain, juga ditemukan segmen dengan potensi pengembangan, seperti pelanggan berpendapatan tinggi namun jarang berbelanja, yang dapat dimaksimalkan melalui pendekatan pemasaran yang tepat. Analisis centroid setiap klaster memungkinkan perancangan strategi khusus, seperti program loyalitas untuk pelanggan premium, promosi produk eksklusif, atau insentif harga bagi segmen yang sensitif terhadap biaya. Secara keseluruhan, penelitian ini menunjukkan bahwa K-Means Clustering efektif dalam mengelompokkan pelanggan berdasarkan pola konsumsi, sehingga memberikan dasar strategis untuk meningkatkan pendapatan dan memperkuat loyalitas pelanggan.
Co-Authors Abda Abda Afrizal HENDRA GUNAWAN B11211055 Ichsan Ibrahim Putri Adinda