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Assessing the Impact of Mesh Density on Safety Factor in 2D and 3D Finite Element Modeling: A Case Study of Landslide Mitigation with Corrugated Concrete Sheet Pile (CCSP) Rahmawati Cupasindy, Dyah Ayu; Sholeh, Moch.; Asema, Fuji; Anggraini, Novita; Susilo, Helik; Aditya, Muhammad Tri
West Science Nature and Technology Vol. 3 No. 03 (2025): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsnt.v3i03.2284

The problem of landslides in irrigation canal embankments often occurs in areas with soft and expansive soils that have low bearing capacity and are easily changed in volume due to fluctuations in water content. One of the main triggers is the rapid drawdown phenomenon that causes a sudden decrease in slope stability. In this study, slope stability analysis was conducted using the finite element method with PLAXIS 2D and PLAXIS 3D software. The main objective of the study was to evaluate the effect of mesh variation and soil model selection between Mohr-Coulomb Undrained A and Hardening Soil on Safety Factor (SF) value and slope settlement pattern. The reinforcement treatment analyzed was the use of Corrugated Concrete Sheet Pile (CCSP) installed on the side of the slope to improve stability. The results showed that the mesh variation affected the SF results and stress distribution patterns, especially in the 3D model. The Hardening Soil model produced more realistic deformation and SF predictions than the Mohr-Coulomb model. Thus, choosing the right soil model and mesh configuration is very influential in producing accurate analysis and can be used as a reference in the design of irrigation canal slope treatment.

Analysis of Slope Stability Using Geotextile with The Limit Equilibrium Method in Gunung Sari, Batu Sholeh, Moch.; Cupasindy, Dyah Ayu Rahmawati; Anggraini, Novita; Asema, Fuji; Susilo, Helik
CIVED Vol. 11 No. 2 (2024): June 2024
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/cived.v11i2.608

Gunung Sari Village, Batu City is a hilly mountainous area. Where the elevation contour of the land is at an altitude of ± 800 meters above sea level. Because of its hilly location, there are many steep slopes around the location. These slopes have the potential to experience landslides, considering that the rainfall in these locations is very high. Potential slopes with such conditions are suspected to have a safety factor (SF) < 1. For this reason, researchers are interested in analyzing the slopes on these slopes using the limit equilibrium method. In this study the method that will be used is to analyze the factor of safety in the existing conditions and the factor of safety after the slope is given geotextile reinforcement which will be modeled with the Geoslope/W 2012 application. The results of the safety factor analysis of existing conditions at cross 1 using the Geo Slope/W 2012 Program, the Bishop method, is 0.851, while for the Morgenstern method it is 0.961. Both methods show a safety factor value of less than 1 (F<1), which means the slope is unstable and has a high potential for landslides. The value of the safety factor with geotextile reinforcement for both methods has increased, making the slope more stable (F>1). The safety factor value for cross 1 of the Bishop method is 1.698 while for the Morgenstern method it is 1.702.

Analysis of Decreased Limestone Production on the Effect of Rainfall with the Linear Regression Method Aditya, Muhammad Tri; Susilo, Helik; Fanani, Yazid
West Science Interdisciplinary Studies Vol. 1 No. 10 (2023): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v1i10.334

Limestone mining is a quarry system mining . Its production is influenced by weather factors, especially rainfall. This study aimed at determining the mathematical model wich is able to correlate the influence of rainfall on production of limestone. In addition, it analyzed the correlation between rainfall and limestone production using linear regression method. There are four important steps in this research. The first step is to collect data production and production factors. The second step is to process the data into a mathematical model using linear regression. The third step is to test the result of the mathematical model with the statistical test method. Then the fourth step is to analyze the mathematical model that has met the statistical test results. The results showed that the best mathematical model was: Log P = 0.502 x LOG((JO X Pr) 1.99 x (CH)-0.001) + 0.0002. In conclusion, the effect of rainfall toward the production derivation was very low. Besides, operation hours and productivity also affected production derivation.

Evaluation of Production Capability of Transportation Equipment and Loading Equipment in Limestone Mining at PT X, South Sulawesi Aditya, Muhammad Tri; Arystianto, Deni Putra; Jayaputra, Harsalim Aimunandar; Susilo, Helik; Pratama, Gindang Rain
West Science Interdisciplinary Studies Vol. 2 No. 12 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i12.1505

This study focuses on the evaluation of the production capacity of loading and hauling equipment in limestone mining operations at PT. X, South Sulawesi Province. The selection of this topic is based on the importance of operational efficiency in limestone mining which has a direct impact on the productivity and sustainability of the cement industry. The main objectives of this study are to determine the actual production of loading and hauling equipment, determine the number of equipment needed to meet production targets and identify compatibility factors between mechanical equipment at the mining site. The methods used include field data collection involving measurement of cycle time and production capacity of loading and hauling equipment. The data obtained are then processed using statistical methods to ensure the accuracy of the results. Data analysis is carried out by considering variables such as work efficiency, cycle time, and equipment capacity. The results show that Kobelco SK 480 LC has the highest production capacity (509.34 tons/hour), followed by Komatsu PC 400 (448.25 tons/hour) and PC 300 (417.05 tons/hour). To achieve the Crusher production target of 1450 tons/hour, a combination of loading equipment and dump trucks with a compatibility factor between 0.87 and 0.92 is required, indicating potential for increased efficiency. It is recommended to improve maintenance of equipment and mining roads to optimize productivity.

Analysis of Decreased Limestone Production on the Effect of Rainfall with the Linear Regression Method Aditya, Muhammad Tri; Susilo, Helik; Fanani, Yazid
West Science Interdisciplinary Studies Vol. 1 No. 10 (2023): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v1i10.334

Limestone mining is a quarry system mining . Its production is influenced by weather factors, especially rainfall. This study aimed at determining the mathematical model wich is able to correlate the influence of rainfall on production of limestone. In addition, it analyzed the correlation between rainfall and limestone production using linear regression method. There are four important steps in this research. The first step is to collect data production and production factors. The second step is to process the data into a mathematical model using linear regression. The third step is to test the result of the mathematical model with the statistical test method. Then the fourth step is to analyze the mathematical model that has met the statistical test results. The results showed that the best mathematical model was: Log P = 0.502 x LOG((JO X Pr) 1.99 x (CH)-0.001) + 0.0002. In conclusion, the effect of rainfall toward the production derivation was very low. Besides, operation hours and productivity also affected production derivation.

Evaluation of Production Capability of Transportation Equipment and Loading Equipment in Limestone Mining at PT X, South Sulawesi Aditya, Muhammad Tri; Arystianto, Deni Putra; Jayaputra, Harsalim Aimunandar; Susilo, Helik; Pratama, Gindang Rain
West Science Interdisciplinary Studies Vol. 2 No. 12 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i12.1505

This study focuses on the evaluation of the production capacity of loading and hauling equipment in limestone mining operations at PT. X, South Sulawesi Province. The selection of this topic is based on the importance of operational efficiency in limestone mining which has a direct impact on the productivity and sustainability of the cement industry. The main objectives of this study are to determine the actual production of loading and hauling equipment, determine the number of equipment needed to meet production targets and identify compatibility factors between mechanical equipment at the mining site. The methods used include field data collection involving measurement of cycle time and production capacity of loading and hauling equipment. The data obtained are then processed using statistical methods to ensure the accuracy of the results. Data analysis is carried out by considering variables such as work efficiency, cycle time, and equipment capacity. The results show that Kobelco SK 480 LC has the highest production capacity (509.34 tons/hour), followed by Komatsu PC 400 (448.25 tons/hour) and PC 300 (417.05 tons/hour). To achieve the Crusher production target of 1450 tons/hour, a combination of loading equipment and dump trucks with a compatibility factor between 0.87 and 0.92 is required, indicating potential for increased efficiency. It is recommended to improve maintenance of equipment and mining roads to optimize productivity.

Pengujian Kualitas Air Bor sebagai Upaya Meningkatkan Kualitas Hidup Masyarakat di Kelurahan Sidorahayu, Malang: Groundwater Quality Testing to Enhance the Quality of Life of Communities in Sidorahayu Subdistrict, Malang Regency Jayaputra, Harsalim Aimunandar; Pratama , Gindang Rain; Pradani, Diana Irmawati; Aditya, Muhammad Tri; Arystianto, Deni Putra; Susilo, Helik
Jurnal Pengabdian pada Masyarakat Ilmu Pengetahuan dan Teknologi Terintegrasi Vol. 10 No. 1 (2025): December
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jindeks.v10i1.9130

Kualitas air bersih merupakan faktor penting dalam mendukung kesehatan masyarakat, terutama di kawasan perumahan padat penduduk. Penelitian dan program ini bertujuan untuk menguji serta meningkatkan kualitas air bor di Kelurahan Sidorahayu, Kecamatan Wagir, Kabupaten Malang, guna memastikan kesesuaiannya dengan standar baku mutu air untuk keperluan higiene dan sanitasi. Kegiatan dilakukan melalui tiga tahapan utama, yaitu persiapan, pelaksanaan, dan evaluasi. Pengujian air dilakukan pada beberapa titik sumur bor yang dipilih secara representatif dengan parameter meliputi pH, Total Dissolved Solids (TDS), konduktivitas, Oxidation Reduction Potential (ORP), dan suhu, kemudian dibandingkan dengan ketentuan Permenkes No. 2 Tahun 2023. Hasil menunjukkan nilai pH 8,19–8,25 masih dalam batas aman meskipun cenderung basa, TDS 119–137 ppm, dan konduktivitas 114–131 µS/cm yang menandakan kualitas air relatif baik untuk keperluan nonkonsumsi. Namun, nilai ORP negatif menunjukkan kondisi reduktif yang berpotensi memengaruhi aspek mikrobiologis, sehingga diperlukan uji lanjutan terhadap Escherichia coli dan Total Coliform. Berdasarkan hasil tersebut, direkomendasikan langkah teknis seperti pemasangan filter sederhana, perebusan air, serta peningkatan kesadaran masyarakat terhadap kebersihan lingkungan dan pengelolaan limbah. Program ini menunjukkan bahwa kolaborasi antara masyarakat, perguruan tinggi, dan pemerintah daerah mampu mendukung pengelolaan air bersih yang berkelanjutan.

STUDI PERBANDINGAN ANALISIS KERUSAKAN JALAN METODE PCI DENGAN METODE SDI PADA JALAN RAYA MOJOKERTO-MOJOSARI Istimror, Thibul; Supiyono, Supiyono; Susilo, Helik
Jurnal Online Skripsi Manajemen Rekayasa Konstruksi (JOS-MRK) Vol. 6 No. 4 (2025): DESEMBER 2025
Publisher : Jurusan Teknik Sipil Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jos-mrk.v6i4.7653

Penelitian ini bertujuan untuk mengetahui kondisi kerusakan jalan di Jalan Mojokerto – Mojosari Kabupaten Mojokerto, jenis penanganan kerusakan yang digunakan di Jalan Mojokerto – Mojosari Kabupaten Mojokerto, dan teknik pelaksanaan yang digunakan untuk menangani kerusakan di Jalan Mojokerto – Mojosari Kabupaten Mojokerto menggunakan metode SDI dan metode PCI. Sepanjang ruas jalan ini teridentifikasi berbagai jenis kerusakan permukaan, antara lain retak kulit buaya, tambalan, lubang, retak blok, serta retak alur. Tingkat kerusakan yang tinggi tersebut sebagian besar disebabkan oleh beban kendaraan yang melebihi kapasitas rancang jalan. Kondisi ini berdampak negatif terhadap kenyamanan dan keselamatan pengguna jalan, serta dapat menurunkan kualitas pelayanan infrastruktur transportasi secara keseluruhan. Penelitian ini bertujuan untuk menganalisis kerusakan jalan pada Jalan Raya Mojokerto–Mojosari STA 5+700–10+700 menggunakan metode Surface Distress Index (SDI) dan Pavement Condition Index (PCI) untuk mengevaluasi kondisi jalan dan merekomendasikan penanganan yang tepat. Metode SDI menentukan prioritas pemeliharaan berdasarkan evaluasi visual, sementara metode PCI mengevaluasi kondisi perkerasan secara fungsional dengan indeks numerik. Hasil penelitian ini diperoleh nilai pada metode SDI sebesar 9,4 dan metode PCI sebesar 88,5. Jenis kerusakan yang ditemukan dominan retak kulit buaya, dengan nilai SDI menunjukkan kondisi "baik" dan nilai PCI bervariasi antara "sempurna" hingga "sedang". Berdasarkan hasil evaluasi dengan metode SDI, Kerusakan yang paling umum dijumpai pada ruas jalan ini adalah retak kulit buaya, yang teridentifikasi pada sekitar 80% segmen jalan dengan nilai Surface Distress Index (SDI) berada dalam rentang 0 hingga 10. Sementara itu, berdasarkan analisis menggunakan metode Pavement Condition Index (PCI), sekitar 14% segmen jalan dikategorikan mengalami kerusakan, dengan nilai PCI berada antara 0 sampai 69. Hal ini menunjukkan bahwa sebagian besar ruas jalan berada dalam kondisi rusak dan memerlukan penanganan rutin secara berkala. Penanganan kerusakan ini menggunakan perhitungan biaya metode PCI. Metode penanganan meliputi pemeliharaan rutin hingga rekonstruksi, seperti penambalan lubang dan retak, dengan total anggaran sebesar Rp. 147.906.953,00. Penelitian ini memberikan panduan untuk pemeliharaan jalan yang efektif dan efisien, guna meningkatkan keamanan serta kelayakan jalan bagi pengguna.

PEMODELAN 3D CANDI BADUT MENGGUNAKAN UAV FOTOGRAMETRI Bani, Martince Novianti; Fajarwati , Anisah Nur; Susilo , Helik; Yoganata, Yehezkiel Septian
Menara: Jurnal Teknik Sipil Vol. 21 No. 2 (2026): Menara : Jurnal Teknik Sipil
Publisher : Teknik Sipil, Fakultas Teknik Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jmenara.v21i2.62843

Pendokumentasian cagar budaya secara akurat merupakan langkah penting dalam upaya pelestarian dan analisis struktur bangunan bersejarah. Penelitian ini bertujuan untuk menghasilkan model tiga dimensi (3D) Candi Badut menggunakan teknologi Unmanned Aerial Vehicle (UAV) dan metode Structure from Motion (SfM) serta mengevaluasi tingkat akurasinya melalui perbandingan dengan pengukuran langsung di lapangan. Akuisisi data dilakukan menggunakan UAV dengan konfigurasi pemotretan oblique dan tingkat pertampalan tinggi untuk memperoleh citra yang optimal. Data citra kemudian diproses menggunakan perangkat lunak berbasis SfM untuk menghasilkan point cloud, mesh 3D, dan produk lainnya. Evaluasi akurasi dilakukan melalui analisis kesalahan geometrik dan uji statistik menggunakan uji t dua sampel. Hasil penelitian menunjukkan bahwa model 3D yang dihasilkan memiliki tingkat konsistensi tinggi, dengan nilai Root Mean Square Error (RMSE) sebesar 0,5629 meter. Selain itu, hasil uji t menunjukkan p-value sebesar 0,9844, yang menandakan tidak terdapat perbedaan signifikan antara pengukuran lapangan dan model 3D. Temuan ini mengonfirmasi bahwa UAV dengan teknik pengolahan data SfM mampu menyediakan representasi digital yang cukup akurat dan dapat diandalkan untuk dokumentasi, dengan harapan dapat digunakan untuk upaya konservasi cagar budaya Candi Badut. Pendekatan ini direkomendasikan sebagai teknik efektif dalam pemetaan dan pemodelan bangunan cagar budaya.

Analysis of UAV-Photogrammetry for the Spatiotemporal Monitoring of Pavement Elevation in a Rural Road Susilo, Helik; Bani, Martince N; Muhammad Tri Aditya; Cupasindy, Dyah A.R; Asema, Fuji
West Science Interdisciplinary Studies Vol. 3 No. 11 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i11.2378

Unmanned Aerial Vehicle (UAV) photogrammetry has gained significant popularity across various industries due to its versatility in a wide range of applications. In the field of surveying, UAV photogrammetry offers a faster and more cost-effective solution compared to surveying conventional methods such as leveling instruments or total stations. In rural areas, the pavement of village access roads is vulnerable to deterioration, particularly in the form of settlement caused by repeated loads from transport vehicles. Therefore, monitoring pavement settlement is essential to ensure safety and facilitate timely maintenance planning. Mostly, pavement settlement measurements are conducted using conventional surveying methods. This study aims to explore the potential of UAV-photogrammetry in monitoring pavement elevation in rural areas and to assess its accuracy compared to conventional surveying methods. Aerial data acquisition was conducted in two separate epochs: Epoch I on December 18, 2024, and Epoch II on April 23, 2025. These multitemporal aerial surveys produced a series of overlapping aerial photos. Within the study area, point markers were installed as reference points for elevation measurements on the generated Digital Elevation Model (DEM). The elevation change from Epoch I to Epoch II ranged from 0.00 to 0.029 meters. However, this change cannot be directly interpreted as pavement deformation or settlement. This limitation arises because the root mean square error (RMSE) values of the elevation data obtained from UAV photogrammetry and total station measurements range from 0.048 to 0.098 meters.

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