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Implementasi Matematika Terapan Pada Kemampuan Penyusunan Rencana Anggaran Biaya (RAB) Bangunan Konstruksi (Studi Kasus: Politeknik Negeri Jakarta) Jonathan Saputra; Ega Edistria; Tri Wulan Sari
Journal of Mathematics Education and Science Vol. 6 No. 2 (2023): Journal of Mathematics Education and Science
Publisher : Universitas Nahdlatul Ulama Sunan Giri Bojonegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/james.v6i2.1926

Abstract

Dalam mendukung pembangunan yang dinamis dan berkembang, mahasiswa dan lulusan Teknik Sipil perlu memiliki beragam kompetensi di bidang bangunan konstruksi. Salah satu kompetensi yang dibutuhkan adalah kemampuan menyusun Rencana Anggaran Biaya (RAB) yang berkaitan erat dengan kemampuan untuk mengimplementasikan konsep matematika. Tujuan dari penelitian ini adalah mengetahui tingkat implementasi konsep dan kemampuan matematika pada proses penyusunan RAB bangunan konstruksi. Konsep matematika yang diteliti adalah aljabar, geometri, kalkulus, statistika, dan trigonometri. Kemampuan matematika yang diteliti adalah kemampuan penalaran, interpretasi, analisis, dan evaluasi terhadap informasi yang dimiliki untuk memecahkan masalah. Responden penelitian adalah mahasiswa tingkat akhir dan alumni Teknik Sipil Politeknik Negeri Jakarta (PNJ) yang sudah mendapatkan mata kuliah yang berkaitan dengan penyusunan RAB bangunan konstruksi dan diterapkan pada saat magang maupun bekerja. Data penelitian dianalisis dengan mengimplementasikan metode Importance-Performance Analysis (IPA). Hasil analisis menunjukkan bahwa konsep aljabar (mean: 4,196 dan 3,868), konsep geometri (mean: 4,170 dan 3,414), kemampuan penalaran (mean: 4,053 dan 3,461), dan kemampuan interpretasi (mean: 3,972 dan 3,548) tergolong pada kategori penting dan harus dikuasai. Tidak ada konsep dan kemampuan matematika yang masuk ke kategori tidak penting maupun tidak dikuasai berdasarkan persepsi responden. Dengan demikian, peneliti menyimpulkan bahwa konsep dan kemampuan matematika sudah terimplementasi dengan baik namun perlu untuk ditingkatkan agar kemampuan penyusunan RAB bangunan konstruksi juga semakin meningkat
Simulasi Model Sambungan Mekanis dengan Menggunakan Coupler Untuk Beton Pracetak Anis Rosyidah; Ega Edistria; Bunga Shafira Wijaya
MEDIA KOMUNIKASI TEKNIK SIPIL Volume 29, Nomor 1, JULI 2023
Publisher : Department of Civil Engineering, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/mkts.v29i1.43164

Abstract

The use of mechanical joints can improve the performance of the connection and make the time more efficient. The purpose of this study was to determine the maximum tensile force, failure pattern and effect of epoxy thickness on the maximum tensile force, epoxy-bar bonding stress, and epoxy-coupler bonding stress of each splice type Grouted Coupler Connector. The research specimens were 6 pieces with varying thicknesses of epoxy and diameter of reinforcing steel. Software that supports the pullout test simulation is ANSYS and the research data processing method uses Simple Linear Regression Analysis. The output from the pullout test simulation is the maximum tensile force with a thickness of 25mm epoxy on the reinforcing steel D16, D22, and D25 of 91.156 kN; 148,090 kN, and 203,295 kN. All the test specimens have an epoxy coupler slip failure pattern. And the concluded from the simple linear regression analysis is a significant effect between the thickness of the epoxy on the maximum tensile force and bond stress, with a negative regression coefficient value. The optimum value of using thick epoxy with a varying diameter of reinforcing bars is 25mm.
The relationship between self-regulated learning and student learning outcomes in applied mathematics courses Ega Edistria; Darul Nurjanah; Abdul Azis Abdillah; Rimalia Anggraini
UNION : Jurnal Ilmiah Pendidikan Matematika Vol 11 No 3 (2023)
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/union.v11i3.15504

Abstract

This study aims to ascertain whether there is an interaction between self-regulating rules and student learning outcomes in applied mathematics courses. This study uses the product-moment correlation method from Karl Pearson. The research sample of 57 students was determined by convenience sampling. The data were obtained from questionnaires and midterm math scores. Data analysis methods use descriptive percentages, basic tests for linear regression, and SPSS version 16.0 for hypothesis testing. The findings of this research indicate that self-regulation has a solid and beneficial impact, correlated with the results of student learning in applied mathematics courses. The result of the calculation is the coefficient r xy = 0.721 > 0.005, with a determinant of 51.98%. The greater the degree of self-regulation, the more significant the learning outcomes obtained by students in applied mathematics courses.
Self-Protection Equipment Detection System in Heavy Weight Workshop of Politeknik Negeri Jakarta Using Artificial Intel-ligence Muhammad Rezakusuma; Abdul Azis Abdillah; Dewi Yanti Liliana; Ega Edistria; Samsul Arifin; Zahran Muzakki
Recent in Engineering Science and Technology Vol. 1 No. 01 (2023): RiESTech Volume 01 No. 01 Years 2023
Publisher : MBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59511/riestech.v1i01.4

Abstract

The creating process, how it works and the performance of the detection system using Artificial Intelligence. The development of this innovation contributes to the Heavy Equipment Workshop of the Jakarta State Polytechnic to detect the early potential for work accidents. The methods are device tuning, inputs, training models, performance, trials and outputs. The creating process and how the detection system works using Artificial Intelligence each has 3 steps and accuracy using 3 cameras, namely the internal webcam (1MP), the JETE external webcam (720P) and the Samsung Galaxy A22 mobile phone camera (13MP). The process of making this innovation has 3 steps, namely data input, export, file grouping. There are 3 steps to work, namely open the file, run and output. The result of the accuracy of the internal webcam is very low, the JETE external webcam is better than the internal webcam and the mobile phone camera is better than the JETE external webcam.