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Data-Driven Insights for Tourism Development in East Java Using Directed Graphs Pradananta, Galih; Shofi Dana, Badara
Riemann: Research of Mathematics and Mathematics Education Vol. 7 No. 1 (2025): EDISI APRIL
Publisher : Program Studi Pendidikan Matematika Universitas Katolik Santo Agustinus Hippo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38114/reimann.v7i1.97

Abstract

This study aims to analyze the tourism network in East Java using Google Trends data and directed graph models. Data were collected based on search queries combining the keyword "wisata" (tourism) with city or regency names in East Java for the year 2023. The analysis employed the PageRank algorithm to identify key network hubs and the Adamic-Adar index to predict new connections between regions. Spatial visualization was conducted using QGIS, while network analysis was carried out using NetworkX. The results revealed that Malang and Surabaya act as central hubs in the tourism network, with high connectivity to other regions. Meanwhile, regions such as Pacitan were identified as isolated nodes within the network. Based on these findings, the study recommends strategies to enhance inter-regional connectivity, including infrastructure development and integrated tourism promotion. This study provides data-driven insights that can assist tourism authorities in improving the attractiveness and sustainability of the tourism sector in East Java.
The Influence of Packaging, Product Variations, and Electronic Word of Mouth (E-WOM) on Consumer Buying Interest at Raja Nyemil Tulungagung Khusna, Asmaul; Pradananta, Galih
Reinforce: Journal of Sharia Management Vol 4 No 1 (2025)
Publisher : Faculty of Islamic Economic and Business (FEBI), Sayyid Ali Rahmatullah State Islamic University (UIN SATU) Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21274/reinforce.v4i1.10812

Abstract

The background of this research is by UMKM which are developing very rapidly, especially in the culinary sector. Business actors must be able to adapt to current developments and innovate in order to attract consumers so that their business is able to survive the threat of competitors, is able to take advantage of existing opportunities, and continues to develop amidst increasingly fierce business competition. The purpose of this research is to find out the influence of packaging, product variations and electronic word of mouth (E-WOM) on consumer buying interest at Raja Nyemil Tulungagung partially and simultaneously. The sample taken in the research was 68 respondents from Raja Nyemil Tulungagung consumers. A quantitative approach is used in this research and is an associative type of research. Using primary data, the data collection method is a questionnaire with a Likert scale. The analytical method used is the multiple linear regression test using the SPSS 16.0 application. The results of this research show that partially and simultaneously significant results were obtained which means that there is a positive and significant influence between packaging, product variety and Electronic Word of Mouth (E-WOM) on consumer buying interest in Raja Nyemil Tulungagung.
Analisis Pengaruh Penggunaan Fitur Spaylater Pada Aplikasi Shopee Terhadap Perilaku Konsumtif Mahasiswa Putri, Desy Amanda; Pradananta, Galih
JAMBURA: Jurnal Ilmiah Manajemen dan Bisnis Vol 6, No 3 (2023): JIMB - VOLUME 6 NOMOR 3 Januari 2024
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37479/jimb.v6i3.23369

Abstract

Penelitian ini dilakukan untuk mengetahui apakah fitur Spaylater dalam aplikasi shopee mempengaruhi perilaku konsumtif mahasiswa dan dilihat dari perspektif bisnis syariah. Metode penelitian ini menggunakan kuantitatif asosiatif. Data yang didapat dari penyebaran kuersioner kepada mahasiswa Manajemen Bisnis Syariah UIN Sayyid Ali Rahmatullah Tulungagung mendapatkan sampel sebanyak 100 orang responden pengguna Spaylater. Analisis data dalam penelitian ini menggunakan menggunakan analisis regresi linier sederhana dan hasil penelitian menunjuk kan bahwa Spaylater berpengaruh positif dengan perilaku konsumtif dengan signifikansi 0,010,05 dan pengaruhnya sebesar 15,2%. Fitur Spaylater dilarang dalam bisnis syariah karena adanya bunga dan penetapan denda jika pengguna membayar melewati jatuh tempo sehingga transaksi Spaylater dihukumi riba.
Analisis Pengaruh Penggunaan Fitur Spaylater Pada Aplikasi Shopee Terhadap Perilaku Konsumtif Mahasiswa Putri, Desy Amanda; Pradananta, Galih
JAMBURA: Jurnal Ilmiah Manajemen dan Bisnis Vol 6, No 3 (2023): JIMB - VOLUME 6 NOMOR 3 Januari 2024
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37479/jimb.v6i3.23368

Abstract

Penelitian ini dilakukan untuk mengetahui apakah fitur Spaylater dalam aplikasi shopee mempengaruhi perilaku konsumtif mahasiswa dan dilihat dari perspektif bisnis syariah. Metode penelitian ini menggunakan kuantitatif asosiatif. Data yang didapat dari penyebaran kuersioner kepada mahasiswa Manajemen Bisnis Syariah UIN Sayyid Ali Rahmatullah Tulungagung mendapatkan sampel sebanyak 100 orang responden pengguna Spaylater. Analisis data dalam penelitian ini menggunakan menggunakan analisis regresi linier sederhana dan hasil penelitian menunjuk kan bahwa Spaylater berpengaruh positif dengan perilaku konsumtif dengan signifikansi 0,010,05 dan pengaruhnya sebesar 15,2%. Fitur Spaylater dilarang dalam bisnis syariah karena adanya bunga dan penetapan denda jika pengguna membayar melewati jatuh tempo sehingga transaksi Spaylater dihukumi riba.
Pengaruh Sistem Pembayaran Paylater Terhadap Keputusan Pembelian Anggraini, Niken Ayu; Pradananta, Galih
JAMBURA: Jurnal Ilmiah Manajemen dan Bisnis Vol 6, No 3 (2023): JIMB - VOLUME 6 NOMOR 3 Januari 2024
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37479/jimb.v6i3.23358

Abstract

Tujuan penelitian ini adalah untuk mengetahui tentang apa saja dan bagaimana paylater dapat mempengaruhi pengguna untuk menggunakan sistem paylater dan juga keuntungan dan kerugian penggunaan fitur paylater serta mengkaji tentang bagaimana fitur paylater dalam Pandangan Ekonomi Islam”. Penelitian ini menggunakan metode kuantitatif. Pendekatan ini dapat dilihat sebagai metode penelitian berbasis positivis yang dimanfaatkan guna melakukan penelitian pada populasi atau sampel tertentu. Sumber data penelitian ini dikumpulkan melalui kuisioner yang dibagikan kepada 100 responden mahasiswa Manajemen Bisnis Syariah UIN Sayyid Ali Rahmatullah yang masih aktif sebagai pengguna paylater. Penelitian ini menunjukkan hasil uji f pengujian hipotesis yaitu sistem pembayaran paylater (X) berpengaruh positif dan signifikan terhadap keputusan pembelian (Y) dengan besar pengaruh yaitu 31,9%. Dengan demikian sistem pembayaran paylater dengan indikator-indikatornya sangat memengaruhi sebuah keputusan pembelian.
Development of a Fuzzy Logic Model for Tsunami Early Detection Using Tunami F1 on the Southern Coast of Yogyakarta International Airport, Jogja Naqiya, Sadiyana Yaqutna; Khoirunnisa, Hanah; Pradananta, Galih
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 10, No 2 (2025): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v10i2.35416

Abstract

Tsunami disaster mitigation requires a reliable early warning system to reduce traumatic impacts and material losses. This study develops a fuzzy logic model for early tsunami detection by integrating wave height (SSH) and estimated tsunami arrival time (ETATSU) parameters. The model is combined with the TUNAMI F1 simulation, which considers seabed topography and fluid dynamics. Simulations were conducted on 36 earthquake scenarios on the southern coast near Yogyakarta International Airport (YIA). The results show that the model successfully classifies tsunami risks into three categories: alert, standby, and emergency, with an overall accuracy of 83.3%. Some scenarios showed invalid results at high magnitudes (Mw ≥ 8.5). This research improves the accuracy of tsunami early warning systems, potentially saving more lives and minimizing the impact of disasters.