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All Journal Jurnal Tataloka BIOMA : Jurnal Biologi Makassar Jurnal Penataan Ruang Jurnal Teknologi Sistem Informasi dan Aplikasi Pawon: Jurnal Arsitektur Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Jurnal Kewarganegaraan Daktilitas Compact: Spatial Development Journal
Titik Poerwati
Institut Teknologi Nasional Malang
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Engineering Environmental Science Social Sciences Transportation Other

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STUDI PENGEMBANGAN KONSEP TOD DI KAWASAN STASIUN BLITAR PELUANG, KENDALA, DAN SOLUSI Desderius, Kevie; Titik Poerwati; Calvin Napoleon Bonaparte Lepa Magana; Nikolas Arinanda Aprilio Ginting; Haura Venny Nadhira; Ainur Nisa Amalia
JURNAL DAKTILITAS Vol. 5 No. 1 (2025): JUNI 2025
Publisher : PROGRAM STUDI TEKNIK SIPIL FAKULTAS TEKNIK UNIVERSITAS TULUNGAGUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36563/daktilitas.v5i1.1442

Abstract

Abstract This study analyzes the development of the Transit-Oriented Development (TOD) concept in the Blitar Station area, focusing on existing opportunities, challenges, and solutions. TOD is a planning approach that integrates land use and transportation systems to create sustainable and affordable environments. The research employs both qualitative and quantitative methods, utilizing surveys, interviews, and document analysis related to the socio-economic conditions and infrastructure of the area. The findings indicate that the Blitar Station area has significant potential for TOD development, including good accessibility to public transportation and available vacant land for utilization. However, challenges include a lack of policy support, inadequate infrastructure, and difficulties in community participation. This study recommends several strategic solutions to optimize TOD development in the Blitar Station area, such as enhancing collaboration among stakeholders, developing pedestrian-friendly supporting infrastructure, and raising public awareness about the benefits of TOD. Consequently, this research aims to contribute to more sustainable urban and regional planning in Indonesia. Keywords: Transit-Oriented Development (TOD) ; Blitar Station Area ; Opportunities and Challenges Abstrak Penelitian ini menganalisis pengembangan konsep Transit-Oriented Development (TOD) di kawasan Stasiun Blitar, dengan fokus pada peluang, kendala, dan solusi yang ada. TOD adalah pendekatan perencanaan yang mengintegrasikan penggunaan lahan dan sistem transportasi untuk menciptakan lingkungan yang berkelanjutan dan terjangkau. Metode penelitian yang digunakan adalah kualitatif dan kuantitatif, melalui survei, wawancara, dan analisis dokumen terkait kondisi sosial-ekonomi serta infrastruktur kawasan. Hasil penelitian menunjukkan bahwa kawasan Stasiun Blitar memiliki potensi signifikan untuk pengembangan TOD, seperti aksesibilitas yang baik terhadap transportasi publik dan adanya lahan kosong yang dapat dimanfaatkan. Namun, kendala yang dihadapi meliputi kurangnya dukungan kebijakan, infrastruktur yang belum memadai, dan tantangan dalam partisipasi masyarakat. Penelitian ini merekomendasikan beberapa solusi strategis untuk mengoptimalkan pengembangan TOD di kawasan Stasiun Blitar, antara lain peningkatan kolaborasi antara pemangku kepentingan, pengembangan infrastruktur pendukung yang ramah pejalan kaki, serta sosialisasi kepada masyarakat mengenai manfaat TOD. Dengan demikian, penelitian ini diharapkan dapat memberikan kontribusi bagi perencanaan wilayah dan kota yang lebih berkelanjutan di Indonesia. Kata kunci: Kawasan Berorientasi Transit ; Kawasan Stasiun Blitar ; Peluang dan Kendala
Analysis of the Influence of Educational Background, Life Expectancy and Infrastructure Maturity on Poverty Growth in Indonesia Using Quantile Regression Method Ardiyanto Maksimilianus Gai; Monsar Marito Sir; Iwan Harsono; Agusalim; Titik Poerwati
Jurnal Kewarganegaraan Vol 7 No 2 (2023): Desember 2023
Publisher : UNIVERSITAS PGRI YOGYAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/jk.v7i2.5883

Abstract

Abstrak Tujuan penelitian ini adalah untuk mengetahui bagaimana regresi kuantil mempengaruhi hubungan kemiskinan dengan angka harapan hidup, rata-rata lama pendidikan, dan infrastruktur. Penelitian ini menggunakan data sekunder dan bersifat kuantitatif. Badan Pusat Statistik dan organisasi lain memberikan data sekunder kepada para peneliti, yang mereka gunakan untuk membuat populasi observasi sebanyak seratus individu. Metode regresi yang kami gunakan adalah regresi kuantil. Dari data dan pembahasan dapat disimpulkan bahwa dengan menggunakan model regresi pada kuantil 0,5, variabel angka harapan hidup berpengaruh negatif secara parsial dan signifikan terhadap kemiskinan. Berdasarkan model regresi pada kuantil 0,6, variabel rata-rata lama sekolah mempunyai dampak yang besar dan sebagian besar bersifat negatif terhadap kemiskinan. Kemiskinan dipengaruhi positif secara signifikan dan parsial oleh variabel infrastruktur, dengan model regresi pada kuantil 0,6. Dengan menggunakan model regresi pada kuantil 0,5 maka variabel angka harapan hidup secara simultan berpengaruh positif dan tidak signifikan terhadap kemiskinan, variabel rata-rata lama sekolah secara simultan berpengaruh negatif dan signifikan, dan variabel infrastruktur secara simultan berpengaruh positif dan signifikan. Kata Kunci: Kemiskinan, Angka Harapan Hidup, Lama Sekolah, Infrastruktur, Regresi Kuantil Abstract The purpose of this study is to determine how quantile regression affects the relationship between poverty and life expectancy, average length of education, and infrastructure. This study uses secondary data and is quantitative in nature. The Central Statistics Agency and other organizations provided the researchers with secondary data, which they used to create an observation population of one hundred individuals. The regression method we employed was quantile regression. We can infer the following conclusion from the data and discussion: using a regression model at the 0.5 quantile, the life expectancy variable partially and significantly negatively affects poverty. According to a regression model at the 0.6 quantile, the variable average years of schooling has a substantial and largely negative impact on poverty. Poverty is significantly and partially impacted positively by the infrastructure variable, with a regression model at the 0.6 quantile. Using a regression model at the 0.5 quantile, the life expectancy variable simultaneously has a positive and insignificant effect on poverty, the average years of schooling variable simultaneously has a negative and significant effect, and the infrastructure variable simultaneously has a positive and significant effect. Keywords: Poverty, Life Expectancy, Years of Schooling, Infrastructure, Quantile Regression
The Influence of Number of Industries, Nominal Wages of Labor and Educational Background on Employment Absorption in Medium and Large Industries Sector in Indonesia Ardiyanto Maksimilianus Gai; Titik Poerwati; Monsar Marito Sir; Dana Aswadi; Moch Arif Hernawan
Jurnal Kewarganegaraan Vol 7 No 2 (2023): Desember 2023
Publisher : UNIVERSITAS PGRI YOGYAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/jk.v7i2.5897

Abstract

Abstrak Tujuan dari penelitian ini adalah untuk mengetahui pengaruh tingkat pendapatan, lama pendidikan, dan jumlah industri terhadap penyerapan tenaga kerja di sektor industri. Data yang digunakan diklasifikasikan sebagai data sekunder. Pendekatan pengumpulan data dalam penelitian ini dilakukan dengan menggunakan data sekunder yang diperoleh dari Badan Pusat Statistik, serta sumber-sumber lain yang dapat dipercaya seperti publikasi, makalah, internet, dan karya ilmiah yang relevan. Penelitian ini menggunakan regresi data panel untuk analisis data. Hasil survei menunjukkan bahwa tingkat kompensasi memiliki dampak yang signifikan terhadap jumlah penyerapan tenaga kerja. Jumlah industri memiliki dampak yang menguntungkan dan cukup besar terhadap penyerapan tenaga kerja. Tingkat pendidikan yang lebih tinggi memiliki dampak yang menguntungkan dan cukup besar terhadap kemampuan untuk mendapatkan pekerjaan. Variabel upah, jumlah industri, dan lama sekolah memiliki dampak yang cukup besar terhadap penyerapan tenaga kerja. Kata Kunci: Tingkat Upah, Jumlah Industri, Lama Sekolah, Tenaga Kerja Abstract The objective of this study is to determine the impact of income level, years of education, and number of industries on labor absorption in the industrial sector. The data utilized is classified as secondary data. The data gathering approach for this research involved utilizing secondary data obtained from the Central Statistics Agency, as well as other credible sources such as publications, papers, the internet, and relevant scholarly works. The research employed panel data regression for data analysis. Survey results indicate that compensation levels have a significant impact on the amount of labor absorption. The number of industries has a favorable and considerable impact on labor absorption. Higher levels of education have a beneficial and substantial impact on the ability to secure employment. The variables of pay, number of industries, and years of schooling exert a substantial impact on labor absorption. Keywords: Wage Level, Number of Industries, Years of Schooling, Employment
Evaluasi Minat Wisatawan Berbasis Persepsi Gender Pada Kayutangan Heritage Melalui Analisis Sentimen Pada Google Point Of Interest" Shalsabilla, Syahira Aulia; Poerwati, Titik; Hamidah Imaduddina, Annisaa; 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.v8i2.54082

Abstract

This study evaluates tourist interest at the Kayutangan Heritage area in Malang City based on gender perceptions through sentiment analysis of reviews on Google Point of Interest (POI). The research employs a big data approach by collecting reviews from Google Maps using web scraping techniques and processing them with the TextBlob algorithm to classify sentiments into positive, neutral, and negative categories. A total of 2,198 reviews were analyzed from six food and beverage (F&B) points across six spatial clusters of the Kayutangan Heritage area. The data were divided into two datasets—overall and gender-labeled—to identify sentiment tendencies among male and female tourists. The results indicate that female tourists tend to prefer Café Lafayette (Cluster 1.A), which offers women-friendly facilities such as separate restrooms and prayer rooms, with a positive sentiment of 67.6%. Meanwhile, male tourists are more interested in Kedai Sedjiwa (Cluster 2.B), which provides a clean environment, modern architecture, and a comfortable ambiance, generating 77.1% positive sentiment. The findings support Chebli et al.’s (2020) model of gender-based tourist preferences, demonstrating that men and women prioritize different elements of a destination. This study contributes to the development of gender-inclusive tourism strategies and data-driven management for heritage destinations.
Co-Authors Afrianto, Firman Agung Witjaksono Agusalim Ainur Nisa Amalia Annisaa Hamidah Imaduddina Aprilianus Dapa, Yohanes Ardi Maksimilianus Gai Ardiyanto Maksimilianus Gai Bambang Joko Wiji Utomo Calvin Napoleon Bonaparte Lepa Magana Candra Dwiratna Wulandari Daim Triwahyono Dana Aswadi Endratno Budi Santoso Hasan Hasan Haura Venny Nadhira Ibnu Sasongko Ida Soewarni Iwan Harsono Kevie Desderius Lidya Subnafeu, Eglantyne Maria Christina Endarwati Masruroh, Umi Masruroh, Umi Moch Arif Hernawan Mohammad Reza Monsar Marito Sir Nikolas Arinanda Aprilio Ginting Parmanes, Ester Rangga Saputra, Dityanda Shalsabilla, Syahira Aulia Sudiro Sudiro