Andri Hernandi
Surveying and Cadastre Research Division, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Ganesha 10, Bandung 40132, West Java, INDONESIA

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Journal : Journal of Science and Applicative Technology

The Development of a Procedure Model for Improving Land Data Quality (Case Study at the Land Office of Tulang Bawang Regency) Gusmartin, Popie Hagy; Abdulharis, Rizqi; Hernandi, Andri
Journal of Science and Applicative Technology Vol. 8 No. 2 (2024): Journal of Science and Applicative Technology December Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/jsat.v8i2.1948

Abstract

Accurate and up-to-date land data is essential for effective planning, development, and decision/policy making by the Ministry of Agrarian Affairs and Spatial Planning/National Land Agency. However, land data does not yet have full data accuracy and reliability, thus weakening the usefulness of the land data itself. This study aims to develop a procedural model to improve the quality of land data. This study began by conducting a data classification method, namely conducting a comprehensive inventory of data in the database and archives of land book documents along with measurement letters. Based on the inventory results, a data adjustment method was then done by aligning data between the database and the archives of land book documents and measurement letters. Finally, a method of improving the quality of land data (data quality improvement) was carried out by improving land data to be better. As a form of supervisory control/monitoring, data verification was carried out on data that had been improved using purposive sampling. The results of this study indicate that the systematic application of this method can produce land data with good data accuracy and reliability. Improving the quality of land data results in complete and accurate mapping, and higher data accuracy, although in one village statistically it has not shown positive data, but with the improvement in the quality of land data, it has increased the accuracy of high and detailed data, as well as increased transparency and accountability to the community.
Correlation Analysis of Landslide Disaster with Land Tenure (Case Study: Wonosobo Regency) Luthfina, Muhammad Annis Wichi; Hernandi, Andri
Journal of Science and Applicative Technology Vol. 8 No. 2 (2024): Journal of Science and Applicative Technology December Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/jsat.v8i2.1751

Abstract

Indonesia is a country that often experiences various kinds of natural disasters, one of which is landslides. Wonosobo Regency is a district that is prone to landslides considering its geographical conditions with steep slopes and high rainfall. Landslides are disasters that are directly related to changes in soil and soil conditions. This is unconsciously related to land rights, one of which is land tenure. In this research, a correlation study was conducted to determine the relationship between the level of knowledge about landslides and the level of knowledge about land tenure. The test uses the Spearman rank test. The result of this research is that there is a relationship between the level of knowledge about landslides and the level of knowledge about land tenure.
SEGMENTATION OF PARCEL BOUNDARY INDICATIONS IN VERY HIGH-RESOLUTION ORTHOPHOTO MOSAICS FOR CONTROL POINT IDENTIFICATION Ihsan, Muhammad; Suwardhi, Deni; Satwika, I Putu; Hernandi, Andri; Ratriant, Loedi; Masykur, Muchamad; Suwarna, Yoga; Widyaningrum, Elyta
Journal of Science and Applicative Technology Vol. 8 No. 1 (2024): Journal of Science and Applicative Technology June Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/jsat.v8i1.1749

Abstract

Several Land Parcel Geometry issues in Indonesia's Land Registration Process, such as parcel overlapping, gaps between parcels, and incorrect parcel shapes and sizes, are currently being addressed through a block adjustment approach. One crucial aspect of the block adjustment process is determining control points that tie the parcel geometry to the land coordinate system. Detailed Observations and measurements of parcel points in the field and aerial photographs established these control or tie points. Rectifying land parcels requires many control points, requiring substantial time and effort. The automation phase is critical to expedite the control point identification process. This research uses artificial intelligence techniques to identify control points in very high-resolution orthophoto mosaics. The method employed for control point identification involves the Segment Anything Model (SAM) algorithm to segment parcel boundary indications accurately. Enhance the quality of segmentation results conducted by fine-tuning, followed by centerline extraction and refinement of the extracted data. Based on the segmentation, a SAM model capable of accurately segmenting building objects is attained, After the centerline extraction process and modifications to the existing geometric operations within the GIS Tool, at the edges of buildings, fences, and walls derived points. These points can serve as control point indications in the block adjustment process.