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All Journal Community Empowerment
Avelina Nathania Bennediktus Suhardjo Pusoko
Universitas Trisakti, Jakarta, Indonesia
Arts Humanities Education Public Health Social Sciences

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Surveyor and dasawisma training in housing database collection in Kampung Rawa Village Wahyu Sejati; Ryan Faza Prasetyo; Giraldi Fardiaz Kuswanda; Avelina Nathania Bennediktus Suhardjo Pusoko; Yureana Wijayanti; Sri Wulandari
Community Empowerment Vol 9 No 3 (2024)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ce.11150

Abstract

The Kampung Rawa sub-district is part of an initiative aimed at enhancing the quality of settlements by structuring integrated residential areas. It is known as one of the most densely populated sub-districts, with a population density of 68,956.67 people/km2. The surveyor and Dasawisma training program aims to equip participants with knowledge on collecting data about backlogs and uninhabitable houses (RTLH) based on building reliability, thereby minimizing errors during implementation. Data collection involves visiting residents' homes to assess building conditions and completing a form integrated with the Jakarta Satu website. The outcome of this training is an improvement in the knowledge and skills of surveyors and Dasawisma in conducting backlog and building reliability surveys in the field. The training also resulted in the development of a module as a reference guide for surveyors in assessing building reliability.
Surveyor and dasawisma training in housing database collection in Bukit Duri Village Inavonna Inavonna; Wahyu Sejati; Darmawan Pontan; Avelina Nathania Bennediktus Suhardjo Pusoko
Community Empowerment Vol 9 No 4 (2024)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ce.11222

Abstract

Nestled within Tebet District, South Jakarta, Kelurahan Bukit Duri stands as a densely populated area, encompassing 108 hectares and home to 28,151 residents. This community empowerment initiative sought to empower university students as surveyors and community women (dasawisma) as survey assistants by equipping them with the necessary knowledge and skills. Through comprehensive training sessions, participants delved into the intricacies of building reliability assessment, the effective utilization of survey platforms, and communication strategies for conducting surveys. The program's impact was evident in the remarkable improvement in the empowerment and understanding of both surveyors and dasawisma. Prior to the training, their comprehension level stood at 30%, but upon completion, it surged to an impressive 90%. This program is poised to minimize errors during structural assessments, ensuring the safety and well-being of Bukit Duri's residents.
Counseling and assistance in verification and validation of housing data for surveyors Wahyu Sejati; Lili Kusumawati; Giraldi Fardiaz Kuswanda; Ryan Faza Prasetyo; Avelina Nathania Bennediktus Suhardjo Pusoko
Community Empowerment Vol 9 No 6 (2024)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ce.11323

Abstract

The data collection of housing database in Jembatan Besi Village conducted by surveyors from the Faculty of Civil Engineering and Planning, Trisakti University often encounters data errors and obstacles during its implementation. These errors can be in the form of incorrect writing of addresses, family card numbers, head of family NIKs, or geotagging (location points) of buildings. Therefore, in the middle of the data collection, a workshop was held to analyze and evaluate the data that had been entered and to correct data errors. The method used is through data checking by field coordinators and repairs are carried out simultaneously. Workshop activities include presentation of the progress of the 50% survey results, data validation and verification, and data correction. During the workshop, the survey results were obtained as much as 60.55% with a total of 2,704 buildings and data correction facilities including geotagging, RT and RW data, Family Card Numbers, NIK, address writing, and deleting duplicate data.
Co-Authors Darmawan Pontan Giraldi Fardiaz Kuswanda Inavonna Inavonna Lili Kusumawati Prasetyo, Ryan Faza Sri Wulandari Wahyu Sejati Yureana Wijayanti