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Simulasi Model Sambungan Mekanis dengan Menggunakan Coupler Untuk Beton Pracetak Rosyidah, Anis; Edistria, Ega; Wijaya, Bunga Shafira
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.
Self-Protection Equipment Detection System in Heavy Weight Workshop of Politeknik Negeri Jakarta Using Artificial Intel-ligence Rezakusuma, Muhammad; Abdillah, Abdul Azis; Liliana, Dewi Yanti; Edistria, Ega; Arifin, Samsul; Muzakki, Zahran
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.
Comparative Analysis of Regression Methods for Estimation of Remaining Useful Life of Lithium Ion Battery Assagaf, Idrus; Abdillah, Abdul Azis; Edistria, Ega; Sukandi, Agus; Prasetya, Sonki; Apriana, Asep; Nugroho; Kamil, Raihan
Recent in Engineering Science and Technology Vol. 3 No. 01 (2025): RiESTech Volume 03 No. 01 Years 2025
Publisher : MBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59511/riestech.v3i01.93

Abstract

Lithium batteries play a critical role in modern technological applications, including electric vehicles and portable electronic devices. Ensuring accurate estimation of their remaining useful life is essential to improve system efficiency and reliability. This study focuses on predicting the remaining useful life of lithium batteries using advanced regression methods. Data were collected from lithium battery charge-discharge cycles, encompassing key operational parameters such as voltage, current, and temperature. The analysis employed several regression models, including linear regression, lasso regression, and Ridge regression, to identify relationships between these parameters and battery life. The models were evaluated based on estimation accuracy, with Root Mean Square Error (RMSE) as the primary performance metric. The findings demonstrate that regression methods can effectively capture non-linear relationships between input variables and the remaining useful life, with lasso and Ridge regression showing superior performance in reducing prediction errors. These results underscore the potential of regression-based approaches in providing robust and reliable estimations of battery life. The conclusions highlight the importance of these models for developing predictive battery management systems, which can optimize battery performance and extend their operational lifespan across various applications. This research establishes a solid foundation for future studies on intelligent battery health monitoring and management.
OPTIMASI MATERIAL DOUBLE SKIN FACADE TERHADAP PENURUNAN NILAI OTTV PADA GEDUNG KANTOR PUSAT ASDP INDONESIA FERRY Kirana, Puspanendah Sasotya; Nurwidyaningrum, Dyah; Edistria, Ega
JURNAL TEKNIK SIPIL Vol 11, No 2 (2022): Volume 11 Nomor 2 November 2022
Publisher : Jurusan Teknik Sipil, Fakultas Teknik, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jts.v11i2.27728

Abstract

Fenomena urban heat island sebagai dampak dari gencarnya pembangunan infrastruktur di wilayah DKI Jakarta merupakan isu masif dalam penggunaan energi suatu bangunan. Dalam upaya konservasi energi, Pemerintah DKI Jakarta menerapkan peraturan mengenai OTTV. Gedung Kantor Pusat ASDP Indonesia Ferry telah menerapkan teknologi double skin facade (DSF) untuk mencapai nilai OTTV yang sesuai dengan standar. Penelitian ini berfokus pada optimasi material DSF di Gedung Kantor Pusat ASDP Indonesia Ferry dengan tujuan mereduksi perolehan OTTV dengan biaya yang efisien. Dalam penelitian ini digunakan metode kuantitatif dengan menganalisis capaian nilai OTTV dengan acuan SNI 03-6389 dan Pergub Provinsi DKI Jakarta No. 38 Tahun 2012. OTTV yang diperoleh dari DSF eksisting adalah sebesar 61,86 W/m2. Penambahan dinding parapet beton dengan cat putih semi-kilap dapat mengurangi nilai OTTV secara signifikan hingga sebesar 23% menjadi 47, 46 W/m2 dengan harga yang efisien, sehingga menjadi alternatif modifikasi jangka pendek. Kombinasi modifikasi menggunakan kaca sunergy low-e blue green (8 mm) dan dinding parapet beton dengan cat putih semi-kilap merupakan alternatif modifikasi jangka panjang yang direkomendasikan. Modifikasi tersebut dapat menurunkan nilai OTTV sebesar 28% menjadi 44,65 W/m2 dengan biaya yang paling efisien.