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All Journal RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Multidiciplinary Output Research for Actual and International Issue (Morfai Journal)
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COMPARATIVE ANALYSIS PILE BEARING CAPACITY OF PILE FOUNDATIONS BASED ON SPT TEST RESULTS AND DYNAMIC TESTING DATA (Case Study: Construction of Halang Island Pier) Siti Rahma Nadila; Gunawan
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 6 No. 4 (2026): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.21213041

Abstract

The foundation is the lower structural part of a building that must be able to support the load of the structure above it. In foundation planning, the bearing capacity of the foundation can be calculated using soil investigation data and field load test data. This study aims to analyze and compare the bearing capacity of pile foundations using the empirical Mayerhof (1976) method based on N-SPT (Standard Penetration Test) data and the Hiley (1930) dynamic method based on driving record data from the Halang Island pier construction project in Rohil, Riau. The data used includes SPT test results from 3 drilling points (BH-01, BH-02, and BH-03) as well as driving record data from 40 pile driving points. The research subject consists of precast concrete piles with a diameter of 300 mm and an analysis depth of 42 m. The allowable bearing capacity (Qall) is calculated using a safety factor of 3. The analysis results show that the Mayerhof method yields a Qall value of 28.06 tons, while the Hiley method yields Qall values ranging from 15.30 to 29.93 tons. A comparison of the two methods reveals a ratio of 0.95 to 1.83 times, with a percentage difference ranging from -5.12% to 83.41%. The higher values in the Mayerhof method are influenced by the empirical correlation of N-SPT values representing soil conditions from investigations, whereas the Hiley method yields more conservative values because it accounts for the pile’s actual response during driving through energy transfer, penetration, and rebound. The research results indicate that the Mayerhof method is suitable for initial estimation of pile capacity, whereas the Hiley method is more representative in evaluating actual bearing capacity in the field. 
ANALISIS SENTIMEN PUBLIK TERHADAP INFRASTRUKTUR DAN AMENITAS KOTA PEKANBARU MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE (SVM) BERBASIS DATA TWITTER Muhammad Yusri; Elvi Rahmi; Gunawan
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 2 (2026): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i2.8313

Abstract

Infrastructure development and the provision of urban amenities are important elements in supporting the quality of life of communities in Pekanbaru City. Twitter has become an alternative platform for measuring public opinion in real time. This study aims to analyze public sentiment toward the infrastructure and amenities of Pekanbaru City using the Support Vector Machine (SVM) algorithm. The dataset consists of  3,743 tweets  collected through a scraping technique using the Instant Data Scraper plugin. The analysis process includes text preprocessing, namely data cleaning, case folding, tokenization, normalization, stopword removal, and stemming. The data are then transformed using the Term Frequency–Inverse Document Frequency (TF-IDF) method for term weighting. In addition, this study implements a rule-based Named Entity Recognition (NER) approach to extract location entities from textual data. The proposed SVM model is expected to classify public sentiment effectively into positive, negative, and neutral categories and identify sentiment based on the locations mentioned in the tweets.
Co-Authors Elvi Rahmi Muhammad Yusri Siti Rahma Nadila