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Rahmi, Ardia Tiara
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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.
Analisis Kebutuhan Air Petak Tersier Berdasarkan Hasil Identifikasi Fase Tanam Menggunakan Citra Sentinel-2 dan Google Earth Engine (Studi Kasus : Daerah Irigasi Sampean Kab. Situbondo) Rahmi, Ardia Tiara; Sukojo, Bangun Muljo; Hayati, Noorlaila
GEOID Vol. 17 No. 1 (2021)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v17i1.1701

Abstract

Terdapat beberapa wilayah di Indonesia yang kekuranga persediaan air untuk kebutuhan irigasi akibat pengaruh iklim, sehingga beberapa di antaranya sering kali mengalami gagal panen karena kekurangan air. Salah satu wilayah yang mengalami masalah tersebut adalah Kabupaten Situbondo. Hal ini dapat disebabkan karena jumlah debit yang keluar dari intake tidak mampu memenuhi seluruh kebutuhan air di petak sawah. Kurniawan (2020) sebelumnya sudah melakukan penelitian analisis fase tanam menggunakan algoritma NDVI pada citra Sentinel 2. Namun proses pengolahan data pada penelitian tersebut membutuhkan kemampuan perangkat pengolah data yang tinggi dan membutuhkan ruang penyimpanan data yang besar sehingga membutuhkan waktu lebih lama pula dalam pemrosesan datanya. Pada penelitian kali ini, peneliti akan menggunakan perangkat pengolah citra berbasis cloud yaitu Google Earth Engine dimana pemrosesan dan penyimpanan data dilakukan pada jaringan internet. Penelitian ini menggunakana indeks vegetasi NDVI dari Citra Sentinel 2 sebagai instrumen untuk mengidentifikasi fase tanam padi dan membuat peta distribusi fase tanam sebagai pedoman untuk menghitung kebutuhan air di petak-petak tersier Kabupaten Situbondo. Nilai NDVI tertinggi terjadi pada tanggal 26 Januari 2019 yaitu Fase Tanam Mid-Season Stage 1 dengan luas sawah 756.91 Ha dan nilai NDVI terendah didapat pada akhir fase tanam tanggal 11 Maret 2020 dengan luas sawah 489.09 Ha. Hasil klasifikasi terbimbing menggunakan metode Machine Learning Random Forest memberikan akurasi yang sangat baik dengan nilai OA 100% dan kappa sebesar 1 pada citra akuisisi 12 Desember 2019. Debit kebutuhan irigasi tertinggi terjadi pada tanggal 25 Februari 2020 sebesar 253.20 lt/dt dan debit kebutuhan air irigasi terendah terjadi pada tanggal 11 maret yang bertepatan dengan masa panen. Berdasarkan hasil perhitungan peneliti, kebutuhan air irigasi pada bulan Desember hingga bulan Januari sudah terpenuhi oleh curah hujan yang terjadi di wilayah UPT Pengairan Situbondo sehingga tidak membutuhkan debit irigasi dari saluran irigasi.
SOSIALISASI DAN PEMBUATAN U-DITCH INOVASI BETON DENGAN LIMBAH PLASTIK DAN LIMESTONE DI CV. TUNGGAL TRI PERKASA Pratiwi, Kholis Hapsari; Rahmi, Ardia Tiara; Kurnianingsih , Oktavia; Pradana , Canggih Gilang; Deni, Delista Putri; Alfianarrochmah , Ilma; Yanto, Fendi Hary
Jurnal Abdi Insani Vol 11 No 3 (2024): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v11i3.1807

Abstract

The business of making and selling U-ditch products has been carried out by CV. Tunggal Tri Perkasa since 2021. However, sales have not experienced a significant increase due to the increasingly expensive material costs for making U-ditch and price competition with other U-ditch manufacturers. U-ditch is precast concrete used to make water channels and is made from materials such as cement, sand, gravel and water. The aim and benefits of this service are to overcome these problems. The RG D3 Civil Engineering team seeks to provide solutions by collaborating on concrete innovation research that has been carried out to be applied to partner U-ditch products. The innovative concrete used uses Polypropylene Plastic (PP) instead of gravel and limestone instead of sand and cement to minimize production costs. The method used in this service is to socialize and directly manufacture U-ditch with innovative concrete. The proportions designed for the innovative concrete use 15% limestone and 5% PP plastic to obtain quality according to U-ditch standards. The results of this service activity after completing the questionnaire to partner members were that 90% understood the socialization activities and stages of making U-ditch. This activity provides knowledge about renewable innovations in concrete to be applied to U-ditch so that in the future partners can increase production results.
OPTIMALISASI SISTEM DRAINASE MIKRO DAS KALI BORO MELALUI ANALISIS HIDROLOGI HIDRAULIKA UNTUK KETAHANAN BANJIR PERKOTAAN Rahmi, Ardia Tiara; Pratiwi, Imasti Dhani; Wijayanti, Pipit; Utomowati, Rahning; Tjahjono, Gentur Adi; Ronggowulan, Lintang
Jurnal Riset Rekayasa Sipil Vol 9, No 1 (2025): September 2025
Publisher : Prodi Teknik Sipil Fakultas Teknik Universitas Sebelas Maret Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jrrs.v9i1.109485

Abstract

Urbanisasi yang masif di Kota Surakarta telah mendorong peningkatan area terbangun dan alih fungsi lahan di Daerah Aliran Sungai (DAS) Kali Boro, memicu eskalasi masalah genangan akibat sistem drainase eksisting yang inadekuat. Meskipun banyak studi drainase perkotaan modern mengadopsi model numerik canggih dan solusi berbasis alam, studi ini secara strategis memilih pendekatan hidrologi-hidraulika klasik (Log Pearson Tipe III, Mononobe, Rasional, Manning) untuk mengatasi keterbatasan data spesifik dan sumber daya di tingkat mikro perkotaan tropis, sekaligus menawarkan solusi yang relevan dan aplikatif bagi Pemerintah Kota Surakarta. Pendekatan ini mengisi kekosongan literatur terkait implementasi master plan drainase mikro komprehensif di kota tropis yang masih mengandalkan data primer dan metode yang terjangkau. Penelitian ini bertujuan untuk menganalisis kondisi drainase mikro eksisting, menghitung debit banjir rencana (T = 2, 5, 10 tahun), mengidentifikasi akar permasalahan, dan menyusun master plan drainase mikro di DAS Kali Boro. Hasil analisis menunjukkan bahwa kapasitas saluran drainase eksisting hanya mampu menampung sekitar 72,5% dari debit banjir rencana untuk kala ulang 5 tahun, diperparah oleh penyempitan, sedimentasi, dan penumpukan sampah. Implementasi master plan yang diusulkan, meliputi normalisasi, peningkatan dimensi saluran, perbaikan gorong-gorong, pengelolaan sedimen dan sampah, pembangunan sumur resapan, serta adopsi drainase berwawasan lingkungan, diproyeksikan mampu mengurangi luasan genangan hingga lebih dari 50% di area prioritas. Studi ini menegaskan relevansi pendekatan konvensional yang terjustifikasi dalam konteks lokal, memberikan kontribusi signifikan dalam perencanaan ketahanan banjir di DAS mikro perkotaan tropis, dan dapat menjadi acuan kebijakan adaptasi iklim Kota Surakarta.
DEVELOPMENT OF AUGMENTED REALITY-BASED LEARNING BOOKS TO IMPROVE STUDENT PREPAREDNESS FOR LANDSLIDE DISASTERS AT SMA NEGERI 1 KERJO, KARANGANYAR REGENCY Ronggowulan, Lintang; Wijayanti, Pipit; Utomowati, Rahning; Tjahjono, Gentur Adi; Rahmi, Ardia Tiara; Puspitasari, Dwi
GeoEco Vol 12, No 1 (2026): GeoEco January 2026
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ge.v12i1.106685

Abstract

Student preparedness in facing landslide disasters is an important aspect in disaster risk reduction in educational units. However, disaster learning in secondary schools is still dominated by conventional teaching materials that lack visualization and have not been optimally integrated with the Disaster Safe Education Unit Program (SPAB). This study aims to develop SPAB-based textbooks equipped with Augmented Reality (AR) technology to improve students' understanding and preparedness for landslide disasters. The study used the Research and Development (R&D) method with the ADDIE model. The research subjects consisted of 32 students of Class XII. F7 SMA Negeri 1 Kerjo. The research instrument used validation by material experts and media experts. Based on the research results, it can be concluded that the Disaster Safe Education Unit (SPAB)-based learning book enriched with Augmented Reality (AR) technology is declared feasible and effective for use in landslide disaster mitigation learning. The validation results showed a score of 79.2 from material experts and 80 from media experts, both of which are in the feasible category. Effectiveness testing on 32 students showed improved learning outcomes, with an average score increasing from 56.2 in the pretest to 83 in the posttest, and an N-Gain value of 56%, which is considered quite effective. These findings confirm that integrating SPAB-based textbooks with AR visualizations can significantly improve students' understanding and preparedness, while also serving as an alternative, innovative learning medium relevant to disaster education in schools.  
Co-Authors Alfianarrochmah , Ilma Alfianarrochmah, 'Ilma Bangun Muljo Sukojo, Bangun Muljo Deni, Delista Putri Dwi Puspitasari Halimah, Rainy Shinta Nur Kurnianingsih , Oktavia Kurnianingsih, Oktavia Legowo, Slamet Jauhari Lintang Ronggowulan Noorlaila Hayati, Noorlaila Pradana , Canggih Gilang Pradana H S, Canggih Gilang Pratama, Ramadhan Widy Pratiwi, Imasti Dhani Pratiwi, Kholis Hapsari Santosa, Ignatia Wahyu Listyorini Tjahjono, Gentur Adi Tri Susanto Utomowati, Rahning Wijayanti, Pipit Yanto, Fendi Hary