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All Journal Jurnal Pembangunan Wilayah dan Kota Journal of Community Based Environmental Engineering and Management INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY International Journal on Livable Space
Taki, Herika Muhammad
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Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Energy Engineering Environmental Science Public Health Other

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Tingkat Livability pada Rumah Susun Sederhana Milik (Rusunami) di DKI Jakarta Gunandar, Calista Mutia; Wiranegara, Hanny Wahidin; Taki, Herika Muhammad
Jurnal Pembangunan Wilayah dan Kota Vol 19, No 1 (2023): JPWK Volume 19 No. 1 March 2023
Publisher : Universitas Diponegoro, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/pwk.v19i1.41231

Abstract

Penyediaan rusunami merupakan alternatif pemenuhan kebutuhan hunian di perkotaan dengan penduduk yang besar dan lahan yang terbatas. Hadirnya rusunami tidak lepas dari berbagai permasalahan yang ditinjau dari berbagai aspek dalam memenuhi kebutuhan bermukim. Keberhasilan dalam penyediaan rusunami dapat diukur dari tingkat livability. Akan tetapi, pengukuran livability masih dilakukan pada level kota sehingga tidak dapat mengukur realitas livabilitity pada level rusunami. Tujuan penelitian ini adalah untuk mengidentifikasi tingkat livability rusunami di DKI Jakarta. Dalam penelitian ini rusunami dikelompokan berdasarkan jumlah towernya menjadi tiga, yaitu klaster rusunami dengan jumlah tower sedikit (1-4 tower), klaster rusunami dengan jumlah tower sedang (5-12 tower), dan klaster rusunami dengan jumlah tower banyak (lebih dari 12 tower). Penelitian ini bersifat kuantitatif dengan metode survey angket. Teknik analisis menggunakan second order confirmatory factor dan analisis skoring. Hasil penelitian menunjukkan bahwa tingkat livability rusunami di DKI Jakarta pada tiga kasus secara bersama adalah sedang. Sementara berdasarkan per kasus, kelompok rusunami bertower banyak memiliki tingkat livability sedang, sedangkan rusunami bertower sedang dan bertower sedikit memiliki tingkat livability tinggi. Secara umum, indikator yang dianggap penting oleh penghuni rusunami berasal dari dimensi kemudahan dan dimensi kenyamanan. Dengan demikian, indikator tersebut perlu diperhatikan untuk meningkatkan livability rusunami di DKI Jakarta.
SPRAWLING PATTERN OF HOUSING DEVELOPMENT IN JATI AGUNG DISTRICT, SOUTH LAMPUNG REGENCY Wiranegara, Hanny Wahidin; Taki, Herika Muhammad; Balqis, Nadya Fatrah
International Journal on Livable Space Vol. 7 No. 2 (2022): BUILDING SYSTEMS, SPATIAL PATTERNS, AND VISUAL COMFORT
Publisher : Jurusan Arsitektur - FTSP - Universitas Trisakti

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Abstract

In Jati Agung Subdistrict, South Lampung Regency is a sprawling housing development. This subdistrict is directly adjacent to Bandar Lampung, the province’s capital city. This study aims to identify the sprawling pattern of housing development in the sub district of Jati Agung due to its unfavorable impacts such as land use irregularities, infrastructure inefficiencies, and environmental problems. There are three patterns of sprawling: clustered, random, and uniform. The analytical method used to identify the patterns is nearest neighbor analysis. This analysis was to measure the housing distribution pattern by calculating the size of the nearest neighbor (T) parameter. The nearest neighbor distribution index (T) is calculated using the variable distance of the nearest point (Ju), the number of settlement points (N), and the area (A). The results are as follows: the sprawling pattern in majority villages is random and uniform. To control this sprawl, local governments can use permits, incentives/disincentives, and ratification of detailed spatial planning. patterns of sprawling, namely clustered, random, and uniform. The analytical method used to identify the patterns is nearest neighbor analysis. Variables used in this method are the distance to the nearest point, the number of housing points, and the area. The results are as follows: the sprawling pattern in majority villages is random and uniform. To control this sprawl, local governments can be used permits, incentives/disincentives, and ratification of detail spatial planning. Keywords: sprawling pattern, housing development, nearest neighbor analysis, Jati Agung Subdistrict
THE INFLUENCE OF ENVIRONMENTAL POLICIES ON SELECTING INVESTMENT LOCATIONS Sitawati, Anita; Taki, Herika Muhammad; Andajani, Rezkia Dewi
INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY VOLUME 5, NUMBER 3, OCTOBER 2022
Publisher : Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/urbanenvirotech.v5i3.14448

Abstract

Globalization causes multinational entrepreneurs to move their business locations across geographical boundaries. The Multinational Entrepreneurs running businesses across geographic boundaries are called Foreign Direct Investment (FDI). One factor that determines the success of FDI is the accurate choice of investment location. Currently, Climate Change plays a significant role in business decisions. Aim: This study aimed to assess the selection of investment locations using the demand-side analysis and environmental policies approach. Methodology and results: The sample was the Electronic and Automotive industry located in the JABABEKA Industrial Estate, Jakarta, Indonesia. The primary data were collected from the respondents' perceptions and processed using the Structural Equation Model (SEM) method. The SEM-PLS results showed that the path coefficient of the relationship between Environmental Regulations and the Investment Locations Choice was 0.314. Therefore, Environmental Regulation significantly affected Investment Locations Choice. Furthermore, the path coefficient of the relationship between Environmental Litigation and the Investment Locations Choice was 0.113, with a P-value > 0.05. This means that Environmental Litigation insignificantly affects the Investment Locations Choice. Conclusion, significance, and impact: Environmental regulations and litigation affect the location selection by investors. Therefore, urban planners should formulate policies for providing better waste and air pollution treatment facilities in each industrial area to increase the attractiveness of Indonesia as a Host Country.
Analyzing Spatial Groundwater Salinity Using Multivariate Analysis and Multiple Linear Regression Models Binna, Kristin Ina; Yanidar, Ramadhani; Marendra, Sheilla Megagupita Putri; Taki, Herika Muhammad; Astuti, Ariani Dwi
Journal of Community Based Environmental Engineering and Management Vol. 8 No. 1 (2024): March 2024
Publisher : Department of Environmental Engineering - Universitas Pasundan - Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jcbeem.v8i1.12708

Abstract

The increase in the amount of groundwater withdrawal will inevitably pose a threat of seawater intrusion. The purpose of this research was to identify the distribution of shallow groundwater salinity in North Jakarta, West Jakarta and Central Jakarta and to develop a regional model of shallow groundwater salinity distribution. The data used in this study was that of the groundwater quality monitoring, obtained from the Regional Environment Status Book (SLHD), published by The Environment office of Greater Jakarta released in 2022, involving a total of 121 sample points in North Jakarta, West Jakarta, and Central Jakarta. The primary data was taken at 6 (six) sampling locations for model validation purposes. The study began with data grouping, using the Hierarchical Cluster Analysis (HCA) method. The results of identifying the highest distribution of salinity are in cluster 3 (three). A model was subsequently developed, after removing the outliers, with multiple linear analysis methods using the variable the distance from the coastline (X1), well depth (X2) and hardness (X3), to determine the influence of EC, TDS and salinity distribution in shallow groundwater. The results obtained are as follows; EC Models: YEC3 = -1.879+ (1.19.X1) + (5.08.X3). TDS models: YTDS3 = -2.211.30 + (0.81.X1) + (101.41.X2) + (4.07.X3). Salinity models: Ysalinity3 = -0.07+ (6.75×10-5.X1) + (2.4×10-4.X3). Model verification results for R2EC3 = 0.70; R2TDS3 = 0.92; R2salinity3 = 0.88. Validation results produce 21.14% for EC, 8.21% for TDS, and 22.87% for Salinity. This needs further research by increasing the number of primary samples.
Co-Authors Andajani, Rezkia Dewi Ariani Dwi Astuti Balqis, Nadya Fatrah Binna, Kristin Ina Gunandar, Calista Mutia Marendra, Sheilla Megagupita Putri Ramadhani Yanidar Sitawati, Anita Wiranegara, Hanny Wahidin