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All Journal Jurnal Teknologi Sistem Informasi dan Aplikasi Compact: Spatial Development Journal
Parmanes, Ester
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Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Engineering Environmental Science Transportation

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Strategi Pengembangan Wisata Budaya Keraton Sumenep di Kelurahan Pajagalan, Kecamatan Kota Sumenep, Kabupaten Sumenep, Jawa Timur Poerwati, Titik; Desderius, Kevie; Lidya Subnafeu, Eglantyne; Parmanes, Ester; Rangga Saputra, Dityanda; Aprilianus Dapa, Yohanes
COMPACT: Spatial Development Journal Vol 2 No 3 (2023): COMPACT
Publisher : Perencanaan Wilayah dan Kota, Institut Teknologi Kalimantan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35718/compact.v2i3.1039

Abstract

The Sumenep Palace is one of the leading cultural tourism destinations in Sumenep Regency, because it has interesting cultural values. However, the Sumenep Palace still finds various obstacles in its journey such as low visitor interest, lack of interesting tourism activities, and incomplete facilities so that this cultural tourism has not optimally provided a positive impact, especially economically to the community. Therefore, a study is needed to analyse the characteristics of the Sumenep Palace tourism area and its development strategy. To achieve this goal, a descriptive analysis of cultural tourism characteristics in the tourist area consisting of attractions, amenity, accessibility, accommodation, activities and cultural values, as well as analysis of internal and external factors in the tourist area such as strengths, weaknesses, opportunities and threats. Based on the results of the analysis, it is known that the characteristics of the Sumenep Palace area based on six research variables are as follows; the attraction factor consists of historical buildings, palace museums, and historical heritage icons. The amenity factor consists of an information centre, and a souvenir centre (UMKM). In terms of accessibility, the ease of reaching the Sumenep Palace is very good, because it is right in the city centre, can be reached through various directions, and road conditions that can be passed by all types of vehicles, its accommodation factors consist of homestays and hotels around the palace, then tourist activities that can be done in the Sumenep Palace tourist area are exploring the palace location and visiting the palace museum. For its cultural value consists of the history and tradition of the Sumenep Palace. Based on the results of the SWOT analysis, it is known that the development strategy carried out is to focus on overcoming weaknesses to seize opportunities. So formulated three development strategies namely optimisation of completeness of tourist facilities, local economic development, and procurement of interesting tourist activities.
DINAMIC MODELING OF SOCIO – ECONOMIC ACTIVITY CHANGES AROUND THE PANDAAN – MALANG TOLLL GATE USING NIGHT TIME LIGHT AND ANALYSIS MACHINE LEARNING Parmanes, Ester; Hidayati, Agustina Nurul; Witjaksono, Agung; Afrianto, Firman
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 8 No. 2 (2025): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v8i2.54049

Abstract

The study of the Pandaan–Malang Toll Road development is relevant for understanding the impact of infrastructure on socio-economic changes based on spatial data. To date, quantitative approaches that combine satellite imagery data with artificial intelligence algorithms have rarely been used comprehensively to assess regional dynamics. This study develops a machine learning-based prediction model to examine the relationship between infrastructure development and the intensity of community activities. The primary data analyzed is Night-Time Light (NTL) from satellite observations, which is treated as an indicator of the level of economic and social activity on the earth's surface. The research stages include the process of extracting and transforming spatial data, temporal analysis of night light intensity from 2013 to 2023, and the application of the Random Forest algorithm to predict trends until 2040. The findings indicate that areas adjacent to the toll gate show a consistent increase in night light intensity, reflecting faster growth in economic activity and population density compared to other areas. The developed prediction model demonstrates high performance with a low mean squared error (MSE) value. The integration of NTL data and the machine learning approach has proven to be able to describe spatial dynamics more objectively and precisely. Scientifically, this study introduces a replicable analytical framework to support evidence-based decision-making in infrastructure planning and sustainable regional development.
Co-Authors Afrianto, Firman Agung Witjaksono Agustina Nurul Hidayati Aprilianus Dapa, Yohanes Kevie Desderius Lidya Subnafeu, Eglantyne Rangga Saputra, Dityanda Titik Poerwati