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All Journal Civil Engineering Journal Kelimutu Journal of Community Service
Klau, Ralno R.
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Civil Engineering, Building, Construction & Architecture Education Social Sciences Other

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Evaluation of GPM IMERG Product Against Ground Station Rainfall Data in Semi-Arid Region Krisnayanti, Denik Sri; Pah, Jusuf J. S.; Klau, Ralno R.; Decaprio, Alex; Syamsumarlin, .
Civil Engineering Journal Vol 10, No 12 (2024): December
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2024-010-12-09

Abstract

Benanain River is the longest and largest river on Timor Island, with a length of 132 km and an area of 6,460.12 km². In this region, a significant factor affecting the presence of surface water sources is rainfall. To compensate for the lack or unavailability of automatic Rainfall Data (RD) in the Benanain River Basin (BRB), Global Rainfall Measurement (GPM) data from 1998 to 2018 (20 years) were used. The accuracy of GPM rainfall analysis was obtained when parameter conformity and compatibility with data recorded at Rainfall Station (RS) were maintained. The difficulty of predicting rainfall values, spatially and temporally, in the field led to data gaps and unreliable data for analysis needs. Additionally, RD obtained from observation stations contributed to measuring rainfall because there was insufficient RD for analysis in a few regions. The challenge of accurately predicting rainfall values in the field led to differences in data, rendering it unreliable for analysis. To address this issue, satellite data was required as an alternative method to estimate rainfall. Among a total of 7 RS, only 2 passed rainfall characteristic tests. Following this discussion, Lahurus station showed a correlation coefficient of 0.7046, an RMSE of 25.89, and an NSE of 0.476. In addition, the rainfall characteristic test result for Haliwen Station was 1.66 (R100/R2). The second station that passed was Kaubele Station, signifying a correlation coefficient of 0.7907, RMSE of 25.28, and NSE of 0.604. Additionally, the rainfall characteristic test result for Haliwen Station was 3.04 (R100/R2) and the daily performance of the GPM product in the rainy season with low rainfall (≤ 50 mm) was better compared to extreme rainfall (≥ 100 mm). In this study, corrected GPM daily RD in the range >100 mm was underestimated. This analysis implied that the GPM IMERG Final Run product on daily and monthly rainfall timescales had strong detection capabilities and provided data support for long-time series investigations on Timor Island. Doi: 10.28991/CEJ-2024-010-12-09 Full Text: PDF
Stability Analysis of Dam with Asphalt Core in Static and Pseudo-Static Conditions Krisnayanti, Denik Sri; Sir, Tri M. W.; Hangge, Elsy E.; Megonondo, Batara Doa; Klau, Ralno R.; Galla, Andrea Z.
Civil Engineering Journal Vol. 11 No. 6 (2025): June
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-06-024

Abstract

Manikin Dam was constructed to address the issue of raw water shortage in Kupang Regency and Kupang City. However, there were challenges due to clay materials that did not meet the required specifications. Therefore, this study aimed to use asphalt core design as an alternative by analyzing the stability of the embankment body under both static and pseudo-static conditions. To achieve the aim, the Bishop method was applied using the GeoStudio SLOPE/W application, along with manual calculations. The results showed that the safety factor (SF) at the end of construction without seismic loads met the minimum value of 1.300. Under various water level conditions (FWL, NWL, LWL), SF consistently met the minimum required value of 1.500. Furthermore, the seismic analysis considered both operational base earthquakes (OBE) with a return period of 100 years and maximum design earthquakes (MDE), which had a return period of 5,000 years. Even under OBE and MDE seismic loading conditions, SF exceeded the minimum required value. This implied that the use of an asphalt core could be considered safe in terms of preventing potential landslides under both static and pseudo-static conditions. Based on this outcome, asphalt core became a practical alternative for future dam construction, particularly in areas where clay could be scarce or unstable for technical reasons.
Penguatan Keterampilan Guru dalam Pembelajaran Berbasis Digital dan Artificial Intelligence Di SMK St. Wilibrodus Kabupaten Malaka Asrial, Asrial; Klau, Ralno R.; Bara, Alvin A.; Fauzan, Tengku A.; Ly, Aditya; Edyan, Roly
Jurnal Kelimutu Pengabdian Masyarakat Vol 5 No 2 (2025): Kelimutu Journal of Community Service (KJCS)
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/kjcs.v5i2.25253

Abstract

SMK St. Wilibrodus merupakan salah satu sekolah berada di kabupaten malaka SMK St. Wilibrodus Betun adalah sekolah menengah kejuruan swasta yang berlokasi di Jalan Ahmad Yani, Wehali, Kecamatan Malaka Tengah, Kabupaten Malaka, Provinsi Nusa Tenggara Timur. Guru SMK juga berperan dalam membangun karakter dan etos kerja siswa. Dunia industri tidak hanya menuntut keterampilan teknis, tetapi juga sikap profesional, kedisiplinan, dan kemampuan bekerja dalam tim. Guru harus mampu menanamkan nilai-nilai tersebut dalam proses pembelajaran agar siswa dapat beradaptasi dengan lingkungan kerja yang sesungguhnya. Melalui pendekatan yang berbasis praktik dan pengalaman, guru dapat membantu siswa mengembangkan soft skills seperti komunikasi, kepemimpinan, serta problem solving yang sangat dibutuhkan dalam dunia kerja. Kegiatan ini diawali dengan pelaksanaan survei mengenai kondisi dan kebutuhan SMK. Setelah itu, tim melakukan diskusi untuk memastikan program yang dijalankan. Melaksanakan pelatihan yang dirancang untuk mendukung peningkatan kapasitas dan kompetensi mitra. Evaluasi untuk menilai sejauh mana kegiatan yang dilaksanakan mampu mencapai tujuan yang telah direncanakan. Program memberikan dampak positif bagi guru dalam meningkatkan kemampuan memanfaatkan teknologi digital dan AI dalam proses pembelajaran. Guru yang menjadi peserta kegiatan menunjukkan peningkatan pemahaman serta keterampilan praktis dalam mengintegrasikan media digital dan aplikasi berbasis kecerdasan buatan untuk mendukung inovasi pembelajaran di kelas
Co-Authors Asrial Bara, Alvin A. Decaprio, Alex Denik Sri Krisnayanti Fauzan, Tengku A. Galla, Andrea Z. Hangge, Elsy E. Jusuf J. S. Pah Ly, Aditya Megonondo, Batara Doa Roly Edyan Syamsumarlin, . Tri M. W. Sir