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All Journal Indonesia Journal of Engineering and Education Technology (IJEET) Inovasi Sosial : Jurnal Pengabdian Kepada Masyarakat
Sisi Yulianti
Unknown Affiliation
Humanities Civil Engineering, Building, Construction & Architecture Education Environmental Science Library & Information Science Mechanical Engineering Social Sciences Other

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Effectiveness of Using CT Scan in EarlyDetection of Brain Tumor M. Arif Budiman; Yayat Suharyat; Sisi Yulianti; Abdul rahman
Indonesia Journal of Engineering and Education Technology (IJEET) Vol. 2 No. 1 (2024): Indonesia Journal of Engineering and Education Technology (IJEET)
Publisher : AKADEMI TEKNIK ADI KARYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61991/ijeet.v2i1.32

Abstract

The aim of this research is to determine the effectiveness of using CT Scans in Early Detection of Brain Tumors. The type of research is meta-analysis research. The data sources in this research come from 11 national and international journals published in 2021-2024. Inclusion criteria in the meta-analysis are research from indexed journals SINTA, EBSCO, Copernicus International and Scopus, research obtained from the Google Scholar, Pubmed, Researchgate, Mendeley and ScienceDirect databases, research related to the effectiveness of using CT scans in early detection of brain tumors, research must be an experimental method or experimental method, and research that has complete data in effect size analysis. Data analysis is calculating the effect size value with the help of Revman 5.1. The research results concluded that the average effect size value was 1.17 with a high effect size category. These findings explain that the use of CT Scans has a positive impact in early detection of brain tumors in humans.
Ultization of Radiological Techniques in Early Diagnosis of Lunc Cancer Sisi Yulianti; Budiman, M A rif; Miftachul Amri
Indonesia Journal of Engineering and Education Technology (IJEET) Vol. 2 No. 2 (2024): Indonesia Journal of Engineering and Education Technology (IJEET)
Publisher : AKADEMI TEKNIK ADI KARYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61991/ijeet.v2i2.35

Abstract

Lung cancer remains a leading cause of mortality worldwide, underscoring the critical need for early detection to improve patient outcomes. Radiological techniques play a pivotal role in the timely diagnosis of lung cancer, offering non-invasive approaches that facilitate early intervention and treatment planning. This paper comprehensively reviews the utilization of radiological modalities, including computed tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET), and chest X-ray, in the early detection of lung cancer. Emphasizing the significance of each modality in identifying suspicious pulmonary nodules, characterizing lesions, and staging disease progression, the review highlights advancements in imaging technologies that enhance sensitivity and specificity. Furthermore, it addresses challenges such as false positives, radiation exposure, and cost-effectiveness, proposing strategies to mitigate these limitations. The review also explores emerging trends such as artificial intelligence (AI) algorithms and molecular imaging techniques, which hold promise for further improving diagnostic accuracy and personalized treatment approaches. By synthesizing current evidence and future directions in the utilization of radiological techniques for early lung cancer diagnosis, this review contributes to advancing clinical practice and ultimately reducing the burden of lung cancer morbidity and mortality.
Meta-analysis of the STEM Based Think Pair Share (TPS) Model on Students 21st Century Thinking Abilities in Indonesia Ahmad Zain Sarnoto; Sri Tuti Rahmawati; Sisi Yulianti; Eri Mardiani; Wiwid Suryono
Indonesia Journal of Engineering and Education Technology (IJEET) Vol. 2 No. 2 (2024): Indonesia Journal of Engineering and Education Technology (IJEET)
Publisher : AKADEMI TEKNIK ADI KARYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61991/ijeet.v2i2.38

Abstract

The purpose of this study was to determine the effect of STEM-based Think Pair Share (TPS) model on students' 21st century thinking skills in Indonesia. This type of research is meta-analysis research. The sources in the meta-analysis came from 15 national and international journals published in 2021-2024. The inclusion criteria in the research are that the research must be indexed by SINTA, Scopus and Web of Science, the research must be experimental or quasi-experimental related to the STEM-based Think Pair Share (TPS) model on students' 21st century thinking skills; Research data obtained through google scholar, Mendeley, Sciencedirect and ERIC, Research must be open access, and research must have complete data to calculate the effect size value. The sampling technique is purposive samling. Data analysis in this study is quantitative statistical analysis by calculating the effect size value with the help of the OpenMEE application. The results concluded that the STEM-based Think Pair Share (TPS) model had a significant effect on students' 21st century thinking skills in Indonesia with a high influence category with an average effect size value (ES = 0.952). This finding provides important information for teachers in implementing this model to encourage students' 21st century thinking skills in Indonesia.
Increased Concrete Strength with the Addition of Hyacinth Natural Fibers Losita Dewi; Dewanto; Santi Mareta; Destra Amni; Sisi Yulianti; Delfi Kurnia Zebua; Wiwid Suryono; Tomi Apra Santosa; Mohammad Edy Nurtamam
Inovasi Sosial : Jurnal Pengabdian Kepada Masyarakat Vol. 1 No. 1 (2023): Inovasi Sosial : Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM Akademi Teknik Adikarya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61991/inovasisosial.v1i1.23

Abstract

Concrete is a brittle and fragile construction material so it needs to be increased in strength. This study aims to increase the strength of concrete by adding natural fibers of water hyacinth to the concrete mixture. Hyacinth fibers are cut by 3-5 cm and added with variations of 0%, 0.1%, 0.2%, 0.3%, 0.4% and 0.5% of the volume of concrete. Cylindrical specimens 15 cm in diameter and 30 cm in height were tested for compressive strength and tensile strength at the age of 28 days. The test results showed that the addition of hyacinth fiber up to 0.5% increased the compressive strength of concrete up to 17.6% and tensile strength up to 71.4% compared to normal concrete without fiber. The increase in strength is due to hyacinth fibers being able to withstand micro-cracks in concrete. The more fiber added, the more microcracks are able to be prevented thereby increasing the strength of concrete. In conclusion, the natural fiber of hyacinth effectively increases the strength of concrete both in compressive and tensile capacity.
Co-Authors Abdul Rahman Ahmad Zain Sarnoto Budiman, M A rif Delfi Kurnia Zebua Destra Amni DEWANTO Eri Mardiani Ichsan Ichsan Khodzijah Nur Amalia Losita Dewi M. Arif Budiman Miftachul Amri Mohammad Edy Nurtamam sanju aprilisia Santi Mareta Satria, Erwinsyah Sri Tuti Rahmawati Tomi Apra Santosa Wiwid Suryono Yayat Suharyat