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Pratiwi, Kholis Hapsari
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Peningkatan Kesadaran Penggunaan BIM (Building Information Modeling) 5D pada Penyedia Jasa Lokal CV. Batu Intan Pradana H S, Canggih Gilang; Pratama, Ramadhan Widy; Halimah, Rainy Shinta Nur; Pratiwi, Kholis Hapsari; Rahmi, Ardia Tiara; Deni, Delista Putri; Alfianarrochmah, 'Ilma; Kurnianingsih, Oktavia; Susanto, Tri; Legowo, Slamet Jauhari; Yanto, Fendi Hary
Jurnal Pengabdian Pada Masyarakat Vol 9 No 1 (2024): Jurnal Pengabdian Pada Masyarakat
Publisher : Universitas Mathla'ul Anwar Banten

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30653/jppm.v9i1.648

Abstract

Permintaan mengenai kebutuhan pada bidang konstruksi terus meningkat tiap waktunya. Banyaknya Perusahaan yang bergerak pada bidang konstruksi bersaing untuk memberikan pembangunan yang terbaik pada clien-nya. Namun pada kenyataan, setiap proyek yang berlangsung tidak selalu berjalan mulus. Banyak sekali terjadi humans erorrs selama proses konstruksi berlangsung. Hal tersebut bisa saja terjadi karena pihak penyedia jasa masih mengandalkan metode- metode konvensial pada kegiatan konstruksi dan belum menerapkan digitalisasi. Digitalisasi ini merupakan bentuk kepedulian terhadap dunia konstruksi di Indonesia, khususnya area Solo raya. Untuk mencapai hal tersebut, maka dilakukanlah pengabdian yang bertujuan untuk memberdayakan penyedia jasa untuk melakukan digitalisasi pada kegiatan konstruksi melalui penerapan BIM. Penyedia jasa yang digandeng merupakan penyedia jasa lokal yakni, CV Batu Intan. Pengabdian ini berisikan kegiatan sosialisasi dan pelatihan penggunaan BIM 5D. BIM 5D dipilih karena BIM 5D dapat menentukan volume material serta biaya secara akurat. Hal tersebut tentu sangatlah membantu selama kegiatan konstruksi berlangsung. Metode yang digunakan pada pengabdian ini adalah perencanaan, sosialisasi dan pelatihan (short course), serta peninjauan dan monitoring evaluasi. Kegiatan pengabdian ini memberikan hasil yang baik pada penyedia CV. Batu Intan dalam penggunaannya terhadap BIM menjadi lebih paham dari yang sebelumnya masih awam mengenai BIM. The demand for needs in the construction sector continues to increase. Many companies operating in the construction industry compete to offer the best construction to their clients. However, in reality, every project that is carried out does not always go smoothly. Many human errors occur during the construction process. This could happen because service providers still rely on conventional methods in construction activities and have not implemented digitalization. This digitalization is a form of concern for the world of construction in Indonesia, particularly in the greater Solo region. To achieve this, a service has been produced which aims to enable service providers to digitize construction activities through the application of BIM. The partner service provider is a local service provider, namely CV Batu Intan. This service contains socialization and training activities in the use of 5D BIM. BIM 5D was chosen because BIM 5D can accurately determine material volumes and costs. This is definitely very useful during construction activities. The methods used in this service are planning, socialization and training (short courses), as well as evaluation, monitoring and follow-up. This service activity gives good results to CV providers. Batu Intan, in his use of BIM, has become more proficient than he was before.
Analisis Algoritma Random Forest dan Kombinasi Indeks Spektral untuk Identifikasi Lahan Terbangun (Kasus Kota Surakarta) Rahmi, Ardia Tiara; Pratiwi, Kholis Hapsari; Deni, Delista Putri
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 2 (2023): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i2.692

Abstract

In an effort to realize one of the objectives of the Sustainable Development Goals (SDGs) program goal 11 concerning Sustainable Cities and Settlements, controlling the intensity of urban built-up land in Indonesia really needs attention. One effort to monitor the condition of changes in built-up land that is easy, fast, cheap and efficient is to use the results of remote sensing data processing. Technological developments in the field of remote sensing are currently leading to processing based on Big Data and cloud computing, one of which is GEE (Google Earth Engine). Google Earth Engine. Identification of built-up land was carried out using the guided classification method of Machine Learning Random Forest and a combination of Spectral Index algorithms consisting of a combination of Urban Index (UI), Normalized Difference Vegetation Index (NDVI), and Modified Normalized Difference Water Index (MNDWI) algorithms. The object segmentation process on the results of the combined spectral index is carried out using the Otsu thresholding method. The results showed that the built-up area from the results of identification using the Random Forest algorithm and the spectral index combination algorithm in 2019 to 2023 has increased the area of land, which is shown in the 2019-2023 built-up land map. The accuracy test using the confusion matrix showed that the results of identification using a combination of spectral indices obtained OA and Kappa values which were included in the medium to high category, namely 98.69% and 0.969. So that this method can then continue to be used to monitor the pattern of development of built-up land in Surakarta City.
Analisis Algoritma Random Forest dan Kombinasi Indeks Spektral untuk Identifikasi Lahan Terbangun (Kasus Kota Surakarta) Rahmi, Ardia Tiara; Pratiwi, Kholis Hapsari; Deni, Delista Putri
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 2 (2023): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i2.692

Abstract

In an effort to realize one of the objectives of the Sustainable Development Goals (SDGs) program goal 11 concerning Sustainable Cities and Settlements, controlling the intensity of urban built-up land in Indonesia really needs attention. One effort to monitor the condition of changes in built-up land that is easy, fast, cheap and efficient is to use the results of remote sensing data processing. Technological developments in the field of remote sensing are currently leading to processing based on Big Data and cloud computing, one of which is GEE (Google Earth Engine). Google Earth Engine. Identification of built-up land was carried out using the guided classification method of Machine Learning Random Forest and a combination of Spectral Index algorithms consisting of a combination of Urban Index (UI), Normalized Difference Vegetation Index (NDVI), and Modified Normalized Difference Water Index (MNDWI) algorithms. The object segmentation process on the results of the combined spectral index is carried out using the Otsu thresholding method. The results showed that the built-up area from the results of identification using the Random Forest algorithm and the spectral index combination algorithm in 2019 to 2023 has increased the area of land, which is shown in the 2019-2023 built-up land map. The accuracy test using the confusion matrix showed that the results of identification using a combination of spectral indices obtained OA and Kappa values which were included in the medium to high category, namely 98.69% and 0.969. So that this method can then continue to be used to monitor the pattern of development of built-up land in Surakarta City.
ANALISIS SERAPAN LARUTAN KARBONAT PADA BETON MUTU TINGGI MEMADAT MANDIRI DENGAN VARIASI SUBSTITUSI METAKAOLIN Deni, Delista Putri; Santosa, Ignatia Wahyu Listyorini; Rahmi, Ardia Tiara; Pratiwi, Kholis Hapsari
JMTS: Jurnal Mitra Teknik Sipil Volume 8, Nomor 2, Mei 2025
Publisher : Prodi Sarjana Teknik Sipil, FT, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jmts.v8i2.32259

Abstract

Concrete is often exposed to extreme environmental conditions that affect its durability. One of them is when carbon dioxide in an environment with a certain humidity reacts with hydrated cement minerals and results in carbonation of concrete. Carbonation will penetrate the concrete surface and further result in corrosion of the reinforcement. One method of testing the carbonation of concrete is to expose it to 4% carbonate solution. Therefore, the absorption of carbonate solution in concrete and its relationship with carbonation need to be identified. This study aims to analyze the absorption of carbonate solution and its relationship with the nominal carbonation coefficient of concrete. The object of the study was high strength self-compacting concrete with metakaolin substitution variations of 0%; 10%; 12.5%; 15%; 17.5%; and 20% by weight of cement. The method used was laboratory-based experimental method. The absorption test was conducted based on SNI 03-2914-1992 by soaking 75 mm diameter and 150 mm height concrete cylinder specimens into 4% carbonate solution for 10+0.5 minutes and 24 hours. The results showed that the absorption of carbonate solution in concrete was influenced by the variation of metakaolin substitution and gave a positive correlation with the nominal carbonation coefficient of concrete. Concrete with 15% metakaolin substitution gave the lowest 10+0.5 min and 24 h absorption values of 0.82% and 2.21%, respectively, and the lowest nominal carbonation coefficient of 3.71 mm/year1/2. Abstrak Beton seringkali terekspos pada kondisi lingkungan cukup ekstrem yang berpengaruh terhadap durabilitasnya. Salah satunya adalah ketika karbondioksida pada kelembaban tertentu di lingkungan bereaksi dengan mineral semen terhidrasi dan mengakibatkan terjadinya karbonasi beton. Karbonasi akan menembus permukaan beton dan selanjutnya mengakibatkan terjadinya korosi pada tulangan. Salah satu metode pengujian karbonasi beton adalah dengan memaparkannya pada larutan karbonat 4%. Oleh karena itu, penyerapan larutan karbonat pada beton dan hubungannya dengan karbonasi perlu diidentifikasi. Penelitian ini bertujuan untuk menganalisis serapan larutan karbonat dan hubungannya dengan koefisien karbonasi nominal beton. Objek penelitian adalah beton mutu tinggi memadat mandiri dengan variasi substitusi metakaolin sebesar 0%; 10%; 12,5%; 15%; 17,5%; dan 20% terhadap berat semen. Metode yang digunakan adalah metode eksperimental berbasis laboratorium. Pengujian serapan dilakukan berdasarkan SNI 03-2914-1992 dengan merendam benda uji silinder beton berdiameter 75 mm dan tinggi 150 mm ke dalam larutan karbonat 4% selama 10+0,5 menit dan 24 jam. Hasil penelitian menunjukkan bahwa serapan larutan karbonat pada beton dipengaruhi oleh variasi substitusi metakaolin dan memberikan korelasi positif dengan koefisien karbonasi nominal beton. Beton dengan variasi substitusi metakaolin 15% memberikan nilai serapan 10+0,5 menit dan 24 jam terendah yaitu 0,82% dan 2,21%, serta nilai koefisien karbonasi nominal terendah yaitu 3,71 mm/tahun1/2.
SOSIALISASI PEMANFAATAN BETON SERAT HYBRID UNTUK PENINGKATAN DURABILITAS KONSTRUKSI BANGUNAN GEDUNG DI CV. SOKOGI REKSACIPTA Deni, Delista Putri; Kurnianingsih, Oktavia; Majid, Aziz Abdul; Pratiwi, Kholis Hapsari; Nusantara, Johan Lautan Wijaya; Alfianarrochmah, Ilma; Saputra, Canggih Gilang Pradana Hardi; Legowo, Slamet Jauhari; Yanto, Fendi Hary
Jurnal Abdi Insani Vol 12 No 9 (2025): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v12i9.2934

Abstract

Building construction in the Soloraya area often encounters cracking problems. This problem is generally caused by various factors such as improper design, poor material quality, building age, etc. which can have an impact on durability and structural strength. Therefore, Appropriate Structure Research Group conducted a community service with the aim of providing solutions to be utilized in the construction of buildings in the Soloraya area. This service was carried out with CV. Sokogi Reksacipta which is a local construction consultancy service provider. The concrete innovation presented as a solution is hybrid fiber concrete that combines natural fibers, i.e. ramie fibers and synthetic microfibers with improved mechanical properties to increase resistance to cracking. Through a series of laboratory tests and data analysis, the effectiveness of using hybrid fiber concrete in reducing the risk of cracking and increasing the durability of concrete structures was evaluated. The method used in this community service is socialization of the use and method of making innovative concrete. From the results of this program, 93.75% of participants understood the socialization activities, therefore this program is expected to contribute to the development of more durable and sustainable concrete technology for building construction applications in the Soloraya area.
Co-Authors Alfianarrochmah, 'Ilma Alfianarrochmah, Ilma Deni, Delista Putri Halimah, Rainy Shinta Nur Kurnianingsih, Oktavia Legowo, Slamet Jauhari Majid, Aziz Abdul Nusantara, Johan Lautan Wijaya Pradana H S, Canggih Gilang Pratama, Ramadhan Widy Rahmi, Ardia Tiara Santosa, Ignatia Wahyu Listyorini Saputra, Canggih Gilang Pradana Hardi Tri Susanto Yanto, Fendi Hary