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All Journal Info-Teknik Infotek : Jurnal Informatika dan Teknologi
Fathurrahman, Fathurrahma
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Computer Science & IT Control & Systems Engineering Engineering

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PERBANDINGAN NILAI DAYA DUKUNG PONDASI BORE PILE MENGGUNAKAN HASIL UJI SONDIR DAN SPT PADA PROYEK PEMBANGUNAN JEMBATAN ARANAWAY KABUPATEN BANJAR Gazali, Akhmad; Fathurrahman, Fathurrahma; Ariswandy, Muhammad Rego
INFO-TEKNIK 2023: PROSIDING SEMNAS TAHUNAN X 2023
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/infotek.v0i0.18642

Abstract

Soil bearing capacity is very important in building infrastructure that affects the pavement layer above it, as it is the subgrade that will support the loading. Therefore, soil is the most important aspect as the main support in civil engineering building structures. The purpose of this study is to determine the comparison of Bore Pile bearing capacity analysis according to soil investigation data in the form of Sondir (CPT) and Machine Drill (SPT) with two methods, namely the Mayerhoff and Aoki & De Alencer methods in the construction of the Aranaway Bridge. After calculating with Aoki & De Alencer, the ultimate carrying capacity is 137.47 tons (CPT 1) and 113.83 tons (CPT 2). While the calculation with Mayerhoff with the results of the ultimate bearing capacity of 258.12 tons (SPT 1) and 200.04 tons (SPT 2). According to the calculation, it is also obtained a comparison of the bore pile permit bearing capacity for Aoki & De Alencer of 68.74 tons and 57.42 tons on Sondir data, while for the Mayerhoff method of 86.04 tons and 66.68 tons on SPT data. So it is concluded that the value of the allowable carrying capacity of the two methods, the difference is not significant.
Penerapan Algoritma Naïve Bayes Untuk Analisis Pengaruh Faktor Pendidikan Terhadap Peningkatan Kesehatan Masyarakat Fathurrahman, Fathurrahma; Yupi Kuspandi Putra; Muh. Adrian Juniarta Hidayat
Infotek: Jurnal Informatika dan Teknologi Vol. 7 No. 2 (2024): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v7i2.26470

Abstract

Health and Education are the main capital in realizing the nation's progress. Because quality and productive human resources are those who have a good level of health. People who have low education usually cannot receive current information about health, they prefer traditional health care such as going to a shaman or healer rather than going to the doctor. The aim of this research is to determine the influence of educational factors on public health. Data obtained through surveys and data collection carried out in the Sustainable Development Goals (SDGs) program or what we can interpret as sustainable development goals. 4429 data were obtained which included: economic data, health data, poverty data, gender data, education data and environmental data. The data obtained is used by researchers as attributes or variables to support decision making. This research uses a classification method with the Naïve Bayes algorithm with the accuracy value as the final value of the research. Data processing uses Rapid Miner software. From the test results it turns out to have an accuracy rate of 65.19%. Testing was carried out using k-fold validation, starting from k-fold validation 2 to 10. And the highest accuracy value was found at k-fold 6
Co-Authors Ariswandy, Muhammad Rego Gazali, Akhmad Muh. Adrian Juniarta Hidayat Yupi Kuspandi Putra