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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Robotics and Automation (IJRA) IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Advances in Applied Sciences ComEngApp : Computer Engineering and Applications Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Al-Iqtishad : Jurnal Ilmu Ekonomi Syariah (Journal of Islamic Economics) JUSIFO : Jurnal Sistem Informasi Annual Research Seminar Proceeding of the Electrical Engineering Computer Science and Informatics Journal of Information Systems and Informatics SULUH: Jurnal Abdimas Indonesian Journal of Electrical Engineering and Computer Science Jurnal Generic Jurnal Abdimas Bina Bangsa Smart: Journal of Sharia, Tradition, and Modernity Archive: Jurnal Pengabdian Kepada Masyarakat Muslim Business and Economic Review Journal of Artificial Intelligence and Digital Business Amkop Management Accounting Review (AMAR) Jurnal Teknik Indonesia Jurnal Ekonomi Bisnis, Manajemen dan Akuntansi
Bambang Tutuko
Sriwijaya University
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Physics Public Health Social Sciences Transportation Other

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Green Human Resource Practices, Work–Life Balance, and Job Satisfaction: Employee Engagement as a Mediating Mechanism among Generation Z Employees Balqis, Galuh Aura; Tutuko, Bambang; Cahyono, Hadi
Amkop Management Accounting Review (AMAR) Vol. 6 No. 1 (2026): January - June
Publisher : Sekolah Tinggi Ilmu Ekonomi Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/amar.v6i1.3555

Abstract

The growing presence of Generation Z in the workforce has prompted organizations to reconsider their human resource management approaches by placing greater emphasis on sustainability and employee well-being. Generation Z employees tend to prioritize mental health, work–life balance, and environmental values, which highlights the importance of implementing Green Human Resource Management (GHRM) and Green Work-Life Balance (GWLB) practices within organizations. This study seeks to examine the influence of GHRM and GWLB on Job Satisfaction, with Employee Engagement serving as a mediating variable among Generation Z employees at PT Petrokopindo Cipta Selaras.A quantitative research design was employed using a survey method. Data were collected through questionnaires distributed to Generation Z employees at PT Petrokopindo Cipta Selaras and analyzed using regression analysis and mediation testing techniques. The findings demonstrate that both GHRM and GWLB have a positive and significant impact on Employee Engagement. In addition, Employee Engagement was found to have a positive and significant effect on Job Satisfaction. The results further indicate that Employee Engagement plays a mediating role in the relationship between GHRM and GWLB and Job Satisfaction.Overall, the study suggests that the adoption of environmentally sustainable human resource practices and green-oriented work–life balance policies can foster higher levels of Employee Engagement, which in turn enhances Job Satisfaction among Generation Z employees. This research is expected to contribute to the literature on sustainable human resource management and offer practical insights for organizations in developing human resource policies that are aligned with the values and expectations of Generation Z.
Analisis Reduksi Debit Banjir Sistem Drainase Kali Kencing Di Kabupaten Kudus Istianah, Istianah; Lestari, Fitria Maya; Tutuko, Bambang
Jurnal Teknik Indonesia Vol 7, No 1 (2026): JTI (Jurnal Teknik Indonesia)
Publisher : Universitas Darul Ulum Islamic Centre Sudirman GUPPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61689/jti.v7i1.948

Abstract

Flooding is a common issue affecting various regions in Indonesia, particularly in densely populated urban areas. High rainfall intensity leading to river overflow, dense residential settlements, and inadequate drainage systems and environmental conditions are key factors contributing to flood disasters. This study aims to analyze the drainage capacity of the Kali Kencing channel, evaluate the existing drainage system, and assess the potential flood reduction through the implementation of a polder system within the Kali Kencing drainage network. A qualitative research method is applied, incorporating hydrological and hydraulic analyses, which are further simulated to model the relationship between retention pond storage and optimal pump capacity. The analysis reveals that the current drainage capacity of Kali Kencing is insufficient to convey the existing discharge, resulting in runoff that affects residential areas and agricultural fields. The existing system only includes a small long-storage facility and lacks adequate pumping capacity. Therefore, a retention pond covering 4.5 hectares is proposed to temporarily store excess water during elevated water levels in the Wulan River. Simulation results indicate that the retention pond can reduce peak flood discharge from 65.10 m³/s to 36.00 m³/s, achieving a 55% reduction. Additionally, the installation of two flood pumps with a capacity of 5 m³/s each, along with one pump of 1 m³/s for low-flow operation, is recommended to enhance system performance.
Fetal organ detection using feature enhancement with attention and residual block Bernolian, Nuswil; Nurmaini, Siti; Sapitri, Ade Iriani; Darmawahyuni, Annisa; Rachmatullah, Muhammad Naufal; Tutuko, Bambang; Firdaus, Firdaus
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i2.pp1593-1604

Abstract

The rapid advancements in fetal ultrasonography have significantly enhanced prenatal diagnosis in recent years. Deep learning (DL) architectures have further streamlined the process of organ detection, improved diagnostic accuracy, and reduced observer dependency. This study proposes a computer-aided DL approach for fetal organ segmentation using the you only look once (YOLO) algorithm, a state-of-the-art method for object detection and image segmentation. This study identified and classified 15 fetal organs, including the umbilical vein, stomach, abdomen, brain (trans-cerebellum, trans-thalamic, and trans-ventricular regions), femur, head, thorax (chest cavity), heart (circumference, left atrium, left ventricle, right atrium, right ventricle), and aorta. We compared the performance of YOLOv7, YOLOv8, YOLOv9, and YOLOv11 architectures. The results showed that YOLOv9 outperformed YOLOv7, YOLOv8, and YOLOv11 achieving mAP50 and mAP95 scores of 91.90% and 94.50%, respectively. This performance surpasses previous studies that focused on classifying only a limited number of fetal organs.
Co-Authors Abied, Wildan Ade Iriani Sapitri Aditya Aditya Aditya, Aditya Agus Triadi Agus Triadi Ahmad Dahlan Malik Ahmad Hudaifah, Ahmad Ahmad Rifai Ahmad Rifai Ahmad Zarkasi Ahmad Zarkasi Ananda, Dea Agustria Anik Kustirini, Anik Annisa Darmawahyuni Arum, Akhiar Wista Asyhad, M. Aulia Rahman Thoharsin Azkia, Mita Nurul Balqis, Galuh Aura Bayu Wijaya Putra Borisman Richardson Cahyono, Hadi Chatarina Umbul Wahyuni Cholilie, Irvan Adhin Darmawahyuni, Annisa Darmawahyuni, Annisa Dewi, Kemala Dimas Budianto Dwi, Galih Malik Fajri, Faisal Febrita, Suci Findayani, Vinka Firdaus Firdaus Firdaus Firdaus Firdaus Firdaus Firdaus Firdaus Firdaus Fitria Maya Lestari Ganesha Ogi Hanif Habibie Supriansyah Huda Ubaya Isdwanta, Rendy Islami, Anggun Istianah Istianah Ivall, Mochammad Jasmir Jasmir Kemala Dewi Khairunnisa, Cholidah Zuhroh Kustyadji, Gatot Maharani, Masayu Nadila Marcelino, Jordan Mudjiastuti Handajani Muhammad Afif Muhammad Fachrurrozi Muhammad Irham Rizki Fauzi Muhammad Naufal Rachmamtullah Muhammad Naufal Rachmatullah Nuswil Bernolian Pamela, Maylavalaza PATIYUS AGUSTIANSYAH, PATIYUS PP Aditya, PP, Aditya, PP Prasetya, Fandi Angga Pratama, Yogi Tiara Pratiwi, MM. Shinta Pudjihardjo, Hari Setijo Pudjihardjo, Hari Setijo Purwanto Purwanto Rachmamtullah, Muhammad Naufal Reza Firsandaya Malik Rizal Sanif Rizky, Anandhita Rohadi Rohadi Rossi Passarella Samsuryadi Samsuryadi Sapitri, Ade Iriani Saraswati, Ade Maya Sari, Ririn Purnama Sarifah Putri Raflesia Sarmayanta Sembiring Sastradinata, Irawan Setyati Budiningrum, Diah Siqhny, Zulhaq Dahri Siti Nurmaini Sri Budi Wahjuningsih, Sri Budi Sukemi Sukemi Sutarno Sutarno Sutarno Sutarno Sutarno Sutrimo Sutrimo Tatas Transinata Tjiptohadi Sawarjuwono Tresna Dewi Triadi, Agus Utari, Febiani Dwi Velia Yuliza W, Prayogo Pandhu Wardhana, Aditya Narendra Winda Kurnia Sari