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Pengaruh Work-Life Balance Terhadap Employee Performance a Systematic Literature Review Ahmad Bahrul Ulum; Elisabeth Supriharyanti
Reslaj: Religion Education Social Laa Roiba Journal Vol. 7 No. 9 (2025): RESLAJ: Religion Education Social Laa Roiba Journal
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/reslaj.v7i9.8513

Abstract

This study aims to examine the effect of work-life balance (WLB) on employee performance through a systematic literature review approach. Work-life balance has become a strategic issue in human resource management, especially in facing the challenges of a dynamic modern work world. The results of the analysis indicate that work-life balance has a significant effect on employee performance, both directly and through mediators, such as job satisfaction, organizational commitment, and work motivation. In addition, it was found that the effect of work-life balance on employee performance can vary depending on the industry sector, work culture, and individual employee characteristics. This study contributes to the development of organizational policies by offering strategic insights into the importance of supporting work-life balance to improve employee performance. The findings also identify research gaps that can be further explored, especially in the context of cultural differences and work sectors.
Analisis Yuridis Yurisdiksi International Criminal Court (ICC) terhadap Kejahatan Internasional Berdasarkan Statuta Roma: (Studi Kasus Israel-Palestina) Ahmad Bahrul Ulum; Deny Guntara; Muhamad Abas; Raka Indra Pratama
Mandub : Jurnal Politik, Sosial, Hukum dan Humaniora Vol. 4 No. 2 (2026): Juni: Mandub: Jurnal Politik, Sosial, Hukum dan Humaniora
Publisher : STAI YPIQ BAUBAU, SULAWESI TENGGARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59059/mandub.v4i2.3334

Abstract

The jurisdiction of the International Criminal Court (ICC) under the 1998 Rome Statute faces challenges when international crimes involve non-States Parties, as evidenced by the Israel-Palestine case. While Palestine has been a State Party since 2015, Israel rejects the ICC's jurisdiction because it is not a State Party. This study aims to analyze the provisions regarding international crimes and ICC jurisdiction under the Rome Statute, as well as their application to the Israel-Palestine case. Employing a normative legal method with statutory and case-based approaches, the research analyzes the Rome Statute, the UN Charter, the 1949 Geneva Conventions, UN General Assembly Resolution 67/19 (2012), and the ICC ruling on the "Situation in the State of Palestine." The findings indicate that ICC jurisdiction over nationals of non-States Parties can be exercised through the principle of delegated territorial jurisdiction, pursuant to Article 12(2)(a) of the Rome Statute. However, the effective enforcement of this jurisdiction remains hindered by Israel's lack of cooperation and by international political pressure. Consequently, the ICC's primary challenge lies in strengthening its institutional legitimacy and enforcement capacity in upholding international criminal law.
XAI Interpretation to Enhance Transparency in Skin Cancer Classification using CNN Muhammad Abdul Ghofur; Maria Ulfah Siregar; Ahmad Bahrul Ulum
SISTEMASI Vol 15, No 9 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Universitas Islam Indragiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i9.6726

Abstract

Skin health is an important aspect of maintaining quality of life, while skin cancer requires early detection to support appropriate treatment. This study explores the application of Explainable Artificial Intelligence (XAI), particularly LIME and Eigen-CAM, to interpret the results of binary skin cancer classification into benign and malignant classes. Classification was performed using a transfer learning approach with ResNet50, VGG16, EfficientNetB0, and MobileNetV2 architectures on a dataset of 2,000 skin images, with an equal number of samples in both classes. Model performance was evaluated using 5-fold cross-validation to obtain more consistent performance estimates across the test data. The experimental results showed that ResNet50 achieved the highest accuracy of 86.90%, followed by VGG16 at 85.90%, MobileNetV2 at 84.90%, and EfficientNetB0 at 84.85%. Visualization using LIME and Eigen-CAM highlighted image regions that contributed to the model's predictions, providing additional insights into the basis of its classification decisions. These findings indicate that XAI can serve as an interpretative approach for improving the understanding of model predictions in binary skin cancer classification.