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The Femininomenon of Inequality: A Data-Driven Analysis and Cluster Profiling in Indonesia

arXiv.org Artificial Intelligence

This study addresses the persistent challenges of Workplace Gender Equality (WGE) in Indonesia, examining regional disparities in gender empowerment and inequality through the Gender Empowerment Index (IDG) and Gender Inequality Index (IKG). Despite Indonesia's economic growth and incremental progress in gender equality, as indicated by improvements in the IDG and IKG scores from 2018 to 2023, substantial regional differences remain. Utilizing k-means clustering, the study identifies two distinct clusters of regions with contrasting gender profiles. Cluster 0 includes regions like DKI Jakarta and Central Java, characterized by higher gender empowerment and lower inequality, while Cluster 1 comprises areas such as Papua and North Maluku, where gender disparities are more pronounced. The analysis reveals that local socio-economic conditions and governance frameworks play a critical role in shaping regional gender dynamics. Correlation analyses further demonstrate that higher empowerment is generally associated with lower inequality and greater female representation in professional roles. These findings underscore the importance of targeted, region-specific interventions to promote WGE, addressing both structural and cultural barriers. The insights provided by this study aim to guide policymakers in developing tailored strategies to foster gender equality and enhance women's participation in the workforce across Indonesia's diverse regions.


How AWS's latest 8B investment is funding alignment with Singapore's AI goals

ZDNet

Amazon Web Services (AWS) has pledged to invest another SG 12 billion (USD 8.88 billion) in Singapore, where it aims to align with the country's artificial intelligence (AI) development goals. AWS joins other cloud players -- including Google and Microsoft -- that have unveiled initiatives to sync up with the local government's AI ambitions. Since AWS launched its first Asia-Pacific region in Singapore in 2010, the company has invested more than SG 11.5 billion ( 8.51 billion). The additional SG 12 billion will further support "planned investment" into the US cloud vendor's existing cloud infrastructure from 2024 to 2028, the company said Tuesday at the annual AWS Asean Summit in Singapore. Also: Amazon knows you don't have the AI skills for tomorrow, and has a plan to help Currently, AWS operates 105 availability zones across 33 regions worldwide, including Tokyo, Seoul, Jakarta, and Hong Kong.


Microsoft to invest 1.7 bbn in AI, cloud infrastructure in Indonesia

Al Jazeera

Microsoft has announced plans to invest 1.7bn in artificial intelligence and cloud services in Indonesia. Under the plans unveiled by Microsoft CEO Satya Nadella, the tech giant will train 840,000 people in Indonesia in the use of AI and provide support for the country's growing ranks of tech developers. The announcement marks the biggest investment by Microsoft in its nearly three-decade history in the Southeast Asian country. Nadella on Tuesday held talks with President Joko Widodo, popularly known as Jokowi, at Jakarta's presidential palace before delivering a keynote speech about AI in the Indonesian capital. "This new generation of AI is reshaping how people live and work everywhere, including in Indonesia," Nadella said on the first stop of a tour of Southeast Asia.


Generative AI faces major test as Indonesia holds election

The Japan Times

Fika Juliana Putri, a 19-year-old shopkeeper in East Jakarta, plans to vote in Indonesia's presidential election next week for a once-feared former special forces commander. She likes him, she says, because he's cuddly. A doe-eyed cartoon version of former Gen. Prabowo Subianto -- produced using generative artificial intelligence -- is emblazoned on billboards across Indonesia. It's reproduced on sweatshirts and stickers, and featured prominently on #Prabowo-tagged posts that have some 19 billion views on TikTok. Prabowo is Indonesia's defense minister.


Google's AI Is Making Traffic Lights More Efficient and Less Annoying

WIRED

Each time a driver in Seattle meets a red light, they wait about 20 seconds on average before it turns green again, according to vehicle and smartphone data collected by analytics company Inrix. The delays cause annoyance and expel in Seattle alone an estimated 1,000 metric tons or more of carbon dioxide into the atmosphere each day. With a little help from new Google AI software, the toll on both the environment and drivers is beginning to drop significantly. Seattle is among a dozen cities across four continents, including Jakarta, Rio de Janeiro, and Hamburg, optimizing some traffic signals based on insights from driving data from Google Maps, aiming to reduce emissions from idling vehicles. The project analyzes data from Maps users using AI algorithms and has initially led to timing tweaks at 70 intersections.


Performance Analysis of Transformer Based Models (BERT, ALBERT and RoBERTa) in Fake News Detection

arXiv.org Artificial Intelligence

Fake news is fake material in a news media format but is not processed properly by news agencies. The fake material can provoke or defame significant entities or individuals or potentially even for the personal interests of the creators, causing problems for society. Distinguishing fake news and real news is challenging due to limited of domain knowledge and time constraints. According to the survey, the top three areas most exposed to hoaxes and misinformation by residents are in Banten, DKI Jakarta and West Java. The model of transformers is referring to an approach in the field of artificial intelligence (AI) in natural language processing utilizing the deep learning architectures. Transformers exercise a powerful attention mechanism to process text in parallel and produce rich and contextual word representations. A previous study indicates a superior performance of a transformer model known as BERT over and above non transformer approach. However, some studies suggest the performance can be improved with the use of improved BERT models known as ALBERT and RoBERTa. However, the modified BERT models are not well explored for detecting fake news in Bahasa Indonesia. In this research, we explore those transformer models and found that ALBERT outperformed other models with 87.6% accuracy, 86.9% precision, 86.9% F1-score, and 174.5 run-time (s/epoch) respectively. Source code available at: https://github.com/Shafna81/fakenewsdetection.git


Machine Learning Engineer - Data Solutions Center

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TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo. Why Join Us At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire โ€“ for you, for us, and for more than 1 billion users on our platform.


Da'wah Methods Need to Change as Artificial Intelligence Becomes a Threat to Religious Authority โ€“ Muhammadiyah Official Website โ€“ English Version

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MUHAMMADIYAH.OR.ID, JAKARTA โ€“ Seeing the tendency of today's generation of children closely related to social and digital media, the Vice Chairman of the Muhammadiyah Council for Library and Information Council Ismail Fahmi said that they learn Islam and meet those who are anti-Islam. Ismail, who is also the Founder of Drone Emprit, said that their interaction with those who are anti-Islam or anti-religion has made this millennial generation consider religion unimportant. Learning from this tendency, Ismail Fahmi suggested that methods of da'wah should be adjusted to suit the needs. "The communication style and the way of seeking information are essential foundation to change our da'wah methods," said Ismail at the Pesantren Digital on'Digital Da'wah Strategy' conducted by the Council for Telkomsel Taqwa on Monday (27/3). The rapid development of digital technology has impacted the authority of religion that has long been considered authoritative.


Sr Data Scientist at tiket.com - Jakarta

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Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.


Data Engineer (APAC) at Cadmus - Jakarta, Jakarta, Indonesia - Remote

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At Cadmus, we believe every student should have equal opportunity to achieve academic excellence; that's why we're changing how the world learns! Cadmus is a global EdTech company purposefully built for the higher education sector to break down global learning barriers by providing educators and diverse student cohorts with access to high-quality learning and assessment. Built on rich, student-centric values, Cadmus empowers individuals to achieve their highest potential and graduate with the critical skills and knowledge to profoundly impact our workforces, communities, and evolving world. At Cadmus, we're working hard in pursuit of an ambitious, world-shaping goal: to provide 1 billion students with access to high-quality education by 2050. That's why we need a Data Engineering superstar to join our team and help us maintain a high-quality experience for our users worldwide -- ensuring our cloud platform is reliable, performant and set up to scale.