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Case Report of Benign Breast Tumor: Fibroadenonma Mammae Mahendra Mahendra; Zulhendry Zulhendry; Dina Ramsky; Dian Takwa Harahap
International Journal of Medicine and Health Vol. 3 No. 3 (2024): September : International Journal of Medicine and Health (IJMH)
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/ijmh.v3i3.4177

Abstract

Fibroadenoma mammae is a benign breast tumor that occurs due to abnormal proliferation of periductal tissue into the lobules, often found in the upper lateral quadrant area due to the highest distribution of glands in this tissue. FAM is commonly experienced by younger women between the ages of 20-40 years, with a median age of 30 years. The clinical appearance of FAM lumps is typically lobulated, mostly 2-3 cm in diameter, with a firm and mobile consistency, without causing inflammatory reactions, skin dimpling, or nipple retraction. In this case, we report an 18-year-old female patient diagnosed with a breast tumor. The history revealed a lump in the left breast that enlarged within 1 month, initially the size of a marble and growing to the size of a quail egg, occasionally causing pain. On physical examination, the lump was palpable, mobile, without tenderness or signs of malignancy. Ultrasound examination showed signs of a benign tumor.
Machine Translation Challenges and Cultural Sensitivity Budi Indra Syahdewa; Zulhendry Zulhendry
International Journal of Economics, Management and Accounting Vol. 1 No. 4 (2024): December : International Journal of Economics, Management and Accounting
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijema.v1i4.830

Abstract

Machine translation (MT), especially neural machine translation (NMT) technology, has made significant progress in producing more natural and fluent translations. However, this technology still faces major challenges related to cultural sensitivity, where idiomatic, philosophical, and social contextual meanings often fail to be captured accurately. Through a qualitative literature review, this article examines the main challenges faced by machine translation in understanding and reproducing cultural nuances. The analysis shows that NMT systems have limitations in translating philosophical terms and idioms, tend to be biased due to the dominance of English-language data, and ignore the metalinguistic awareness of humans. Failure to capture these cultural dimensions not only risks losing the authentic meaning of the message but can also accelerate the loss of local languages. This study concludes that the role of humans remains irreplaceable in translating highly cultural texts. Therefore, a hybrid approach that combines technology with human intervention ( human-in-the-loop ) and the development of models trained with more culturally diverse data is recommended to produce inclusive and ethical translations.
Multidimensional Analysis of Islamic Bank Performance: Linking Risk Management, Customer Satisfaction, and Profitability Zulhendry Zulhendry
Digital Innovation : International Journal of Management Vol. 2 No. 4 (2025): Digital Innovation : International Journal of Management
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/digitalinnovation.v2i4.514

Abstract

The development of Islamic banking plays a crucial role in driving economic growth through the principles of fair finance. However, the performance of Islamic banks still faces challenges in maintaining stable profitability. Two key factors often cited as determinants of performance are risk management and customer satisfaction. On the one hand, effective risk management is necessary to control problem financing, while on the other hand, customer satisfaction fosters loyalty and funding stability. However, the existing literature tends to examine these two aspects separately, thus lacking a complete picture of their integrative relationship with profitability. This study, a systematic literature review (SLR), aims to analyze the relationship between risk management, customer satisfaction, and profitability of Islamic banks, as well as their implications for economic growth. The review process adopted the PRISMA 2020 protocol, encompassing academic publications from 2015–2025 from various databases. Article selection was conducted using strict inclusion and exclusion criteria, ensuring that only relevant studies were further analyzed. The study's findings demonstrate two key pillars supporting Islamic banking performance: effective risk management—particularly in controlling problem financing—and a high level of customer satisfaction, which supports loyalty and the stability of third-party funds. However, the findings also indicate a methodological gap. The literature rarely develops models that examine the simultaneous influence of risk management and customer satisfaction on profitability. Furthermore, the limitations of qualitative research and the weaknesses of customer satisfaction measurement instruments hinder a more comprehensive understanding. In conclusion, this study emphasizes the importance of developing a more integrative theory of Islamic banking performance. Future managerial strategies should emphasize the harmonization of risk management and service orientation, so that Islamic banks not only maintain profitability but also contribute more significantly to economic growth.