UIN (Universitas Islam Negeri) Sunan Kalijaga, Yogyakarta: E-Journal Fakultas Sains dan Teknologi
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Standpoint Epistemology in Feminist Philosophy of Science: An Analysis of Sandra Harding\u27s Thought
No full textThis article discusses feminist philosophy of science with a focus on analyzing Sandra Harding\u27s standpoint epistemology. Standpoint epistemology critiques the claim of objectivity in traditional science by emphasizing the unique insights that can be gained from marginalized groups, such as women, in scientific inquiry. Thinkers like Harding, Evelyn Fox Keller, and Donna Haraway argue that the perspectives of marginalized groups can reveal hidden biases and reshape our understanding of scientific reality. However, this approach has faced criticism, particularly regarding the risk of epistemological relativism, as highlighted by scholars such as Richard Rorty and Susan Haack. This study critically examines Harding\u27s standpoint epistemology from the perspective of Islamic philosophy, particularly through Syed Naquib al-Attas\u27s views on the philosophy of science. Islamic epistemology emphasizes the importance of integrating reason and revelation, prioritizing absolute truth derived from divine revelation, which contrasts with the relativism inherent in standpoint epistemology. By analyzing Harding\u27s critique through the lens of Islamic philosophical principles, this study aims to offer a more balanced and objective framework for understanding the role of social context in the production of scientific knowledge. The findings of this research contribute to the ongoing debate on objectivity and relativism in science, proposing that while standpoint epistemology offers valuable insights into social biases, it must be carefully balanced to avoid undermining the pursuit of universal truth.
Kata kunci: Standpoint Epistemology, Feminist Philosophy of Science, Islamic Epistemology, Epistemic Frameworks, Sandra Harding
Artikel ini membahas filsafat sains feminis dengan fokus pada analisis standpoint epistemology Sandra Harding. Epistemologi sudut pandang mengkritik klaim objektivitas dalam sains tradisional dengan menekankan wawasan unik yang dapat diperoleh dari kelompok-kelompok terpinggirkan, seperti perempuan, dalam penelitian ilmiah. Tokoh-tokoh seperti Harding, Evelyn Fox Keller, dan Donna Haraway berpendapat bahwa perspektif dari kelompok yang terpinggirkan dapat mengungkap bias tersembunyi dan mengubah pemahaman kita tentang realitas ilmiah. Namun, pendekatan ini mendapat kritik, terutama mengenai risiko relativisme epistemologis, sebagaimana diutarakan oleh para sarjana seperti Richard Rorty dan Susan Haack. Penelitian ini mengkaji secara kritis epistemologi sudut pandang Harding dari perspektif filsafat Islam, khususnya melalui pandangan Syed Naquib al-Attas tentang filsafat sains. Epistemologi Islam menekankan pentingnya integrasi antara akal dan wahyu, serta mengutamakan kebenaran absolut yang bersumber dari wahyu ilahi, yang berseberangan dengan relativisme dalam epistemologi sudut pandang. Dengan menganalisis kritik Harding dari sudut pandang prinsip-prinsip filsafat Islam, penelitian ini bertujuan untuk menawarkan kerangka kerja yang lebih seimbang dan objektif dalam memahami peran konteks sosial dalam produksi pengetahuan ilmiah. Temuan penelitian ini berkontribusi pada perdebatan tentang objektivitas dan relativisme dalam sains, dengan mengusulkan bahwa meskipun epistemologi sudut pandang memberikan wawasan penting tentang bias sosial, hal ini perlu diseimbangkan agar tidak melemahkan pencarian kebenaran universal
Budaya Makan Menggunakan Tangan Berdasarkan Perspektif Islam dan Sains: Kajian Ajaran Rasulullah Saw..
No full textAbstrak. Setiap bangsa memiliki tata cara makan yang khas sehingga menjadi identitas budaya secara turun-temurun. Salah satu cara tradisional yang masih bertahan hingga sekarang yakni makan menggunakan tangan secara langsung. Praktik tersebut telah menjadi bagian dari berbagai budaya termasuk bagi bangsa-bangsa di Asia Tenggara, India, Afrika, hingga Timur Tengah. Selain itu, budaya ini pula menjadi tradisi dalam agama Islam yang telah diajarkan Rasulullah saw. dengan landasan teologis dan dalil terkait yang menekankan pada etika, kebersihan, serta nilai-nilai yang terkandung di dalamnya. Sementara itu, dari sudut pandang sains menunjukkan bahwa makan dengan tangan lebih sehat daripada makan menggunakan peralatan makan. Oleh karena itu, paper ini bertujuan untuk mengkaji lebih lanjut kebiasaan tersebut dengan meninjau dari perspektif Islam dan sains. Penelitian dilakukan dengan metode studi literatur yang bersumber dari artikel, paper, jurnal, textbook, maupun electronic based. Berdasarkan hasil penelusuran literatur, selanjutnya dilakukan evaluasi data dari berbagai sumber untuk mengidentifikasi potensi dampak kesehatan dari kebiasaan tersebut. Hasil penelitian ini menemukan adanya interkoneksi antara praktik tradisional dengan kesehatan modern. Akan menggunakan tangan tidak hanya memiliki landasan teologis yang kuat dalam Islam, tetapi juga didukung oleh sejumlah penelitian ilmiah yang menunjukkan manfaatnya bagi kesehatan pencernaan dan stimulasi saraf.
Kata kunci: Makan, tangan, kesehatan, sains
Abstract. Every nation has a unique way of eating that has become a cultural identity for generations. One of the traditional ways that still survives today is using hands directly. The practice has become part of various cultures including nations in Southeast Asia, India, Africa, and the Middle East. In addition, this culture has also become a tradition in Islam taught by the Prophet Muhammad with theological base and related arguments that emphasize ethics, cleanliness, and the values contained therein. Meanwhile from a scientific perspective, eating by hands is considered healthier than eating indirectly with utensils. Therefore, this paper aims to further examine this habit by reviewing it from the perspective of Islam and science. The research was conducted using a literature review methods sourced from articles, papers, journals, textbooks, and electronic-based. Based on the literature search results, data from various sources were evaluated to identify the potential health impacts of this habit. This study found an interconnection between traditional practices and modern health. Eating with hands not only has a strong theological foundation in Islam, but is also supported by several scientific studies that show its benefits for digestive health and neural stimulation.
Keynote: Eat, hands, healthy, scienc
Analysis of Hydrocarbon Distribution in Polypropylene Plastic Pyrolysis Products as an Alternative Fuel
No full textThis study investigated the liquid product obtained from pyrolysis of polypropylene plastic waste and evaluated its hydrocarbon distribution for alternative fuel potential. Pyrolysis was conducted in a batch reactor under an inert atmosphere with electric heating. The process yielded 75.93% liquid oil, 20.09% non-condensable gas, and 3.98% solid residue, indicating efficient depolymerization into condensable compounds. Fourier transform infrared spectroscopy confirmed that the oil was dominated by aliphatic hydrocarbons with clear unsaturation. Gas chromatography–mass spectrometry showed that the liquid consisted mainly of alkenes (37.87%), followed by alcohols (25.22%), cyclic hydrocarbons (10.39%), and alkanes (3.92%). The high liquid yield and fuel-range hydrocarbon profile demonstrate that polypropylene waste pyrolysis can generate a fuel-like mixture and represents a promising route for plastic-to-fuel conversion
The Impact of Algorithms on Decision-Making in Daily Life: A Polling Study of Technology Users
No full textAlgorithms have become an integral part of everyday life, particularly in entertainment, shopping, and navigation. This study examines how algorithms influence individual decision-making. Data were collected through an online poll involving 200 respondents, selected using a statistical sampling method. The results indicate that 55% of respondents perceive algorithms as having a significant influence on their decisions, while 28% report a moderate impact. A confidence interval analysis (95%) has been included to ensure statistical accuracy. The study highlights the importance of digital literacy in mitigating algorithmic bias and suggests future research on how socio-cultural factors shape algorithmic perceptions. This research contributes to understanding the extent of algorithmic influence on daily decision-making and raises user awareness of technology’s impact. The implications include the importance of digital literacy to mitigate dependency and bias in algorithm usage and the potential to develop more transparent and ethical algorithmic systems. Future research could explore the relationship between users\u27 awareness of algorithms and their behaviors in various contexts and evaluate ways to enhance public understanding of how algorithms function in the evolving digital ecosystem
Towards Fair and Efficient Timetabling: A Genetic Algorithm Model Integrating Lecturer Day-Off Requests
No full textThis study tackles the complex challenge of lecture timetabling by incorporating lecturer day-off preferences, a crucial constraint often neglected in traditional scheduling methods. Given the NP-hard nature of the problem and the need for scalable solutions, a Genetic Algorithm (GA) was employed with a population size of 10, a crossover probability of 0.70, a mutation probability of 0.20, and a maximum generation of 10000. The proposed GA-based method, implemented using PHP and MySQL, is applied to a real-world scenario involving 25 courses, 22 lecturers, and six classrooms over a 5-day weekly schedule at the Faculty of Education and Teacher Training for the Even Semester of the 2023/2024 Academic Year. Experimental results, validated through the Mann-Whitney test, show that incorporating lecturer preferences enhances scheduling flexibility without significantly increasing computational time. Comparative analysis with Simulated Annealing and Tabu Search demonstrates the competitive performance of the GA-based method in optimizing lecture schedules. This study provides a practical solution for educational institutions seeking to improve their timetabling processes
Subduction and Local Fault Earthquake Analysis Using ST-DBSCAN Clustering Algorithm in The Special Region of Yogyakarta (DIY)
No full textThis study aims to analyze the spatio-temporal patterns of subduction and local fault earthquakes in the Special Region of Yogyakarta using the ST-DBSCAN (Spatio-Temporal Density-Based Spatial Clustering of Applications with Noise) algorithm. A total of 5,403 earthquake events from 2019 to 2024 were clustered using spatial parameters (2–5 km) and a temporal window of 10 days. The results were evaluated using the Davies-Bouldin Index (DBI) and Silhouette Score. In the subduction zone, nine clusters were identified with a DBI of 3.23 and a Silhouette Score of 0.18, indicating moderate separation. Meanwhile, 25 clusters were detected in the local fault zone, particularly around the Opak and Oyo Faults, with a higher DBI of 3.82 and a negative Silhouette Score (-0.14), suggesting overlapping clusters and weak structure. The clustering outcomes correlate with geological features and offer insights for improving earthquake hazard assessment and early warning systems in Yogyakarta
A Hybrid Approach of Pearson Correlation and PCA in Feature Selection for Opinion Mining
No full textThis study proposes a hybrid feature selection approach that combines Pearson Correlation and Principal Component Analysis (PCA) to improve classification performance in opinion mining tasks. The rapid growth of e-commerce on social media platforms, such as TikTok, has generated a significant volume of user-generated reviews, which are valuable sources of consumer sentiment. However, the high dimensionality of textual data poses challenges in achieving accurate sentiment classification. To address this issue, the proposed method first applies Pearson Correlation to remove irrelevant features with weak correlation to sentiment labels, followed by PCA to reduce dimensionality. The dataset consists of user reviews from the TikTok Seller platform. Experiments using SVM, Naive Bayes, and Random Forest show that the hybrid approach achieves the highest accuracy of 86.2% (SVM and RF), improving over PCA-only by +0.9% and recovering 13.8% accuracy loss for Naive Bayes (from 72.0% to 83.1%). The results demonstrate that integrating correlation- and projection-based methods yields a more compact and effective feature set. This approach is especially suited for opinion mining in noisy, high-dimensional e-commerce data
Pandangan Islam Terhadap Kemajuan Teknologi Informasi
No full textAdvances in information technology have brought about major changes in various aspects of human life. Rapid developments in this field include innovations in communications, education, health, economics and industry. Information technology has enabled fast and efficient access to information, increased productivity, and opened up new opportunities in an increasingly connected global world. However, behind all this progress, there are also challenges related to data security, privacy and ethics in the use of technology. In the Islamic view, information technology, like all forms of science, is a neutral tool. Islam views that technological advancements should be used for good purposes and in line with the moral and ethical values taught by religion. Technology should be utilized to strengthen social relations, spread goodness and improve the welfare of mankind, not to damage or cause destruction. The principles of sharia and maqashid sharia (the objectives of sharia) can serve as a guide in utilizing information technology to stay within the framework that is in accordance with Islamic teachings. A review of the benefits and harms of information technology shows that there are two sides that must be considered. On the one hand, this technology provides many benefits, such as increasing access to knowledge, accelerating communication, and facilitating various daily activities. On the other hand, possible harms include misuse of information, the spread of hoaxes, over-dependence, and potential moral damage if not balanced with proper control and guidance. Therefore, it is important to manage and utilize information technology wisely, in accordance with Islamic teachings that emphasize the balance between benefits and potential damage
Perbandingan Kinerja Naïve Bayes dan Random Forest dalam Mendeteksi Berita Palsu
No full textFake news has become a serious problem in today\u27s digital era. The existence of fake news can have various negative impacts, including the spread of misinformation, social unrest, and economic losses. This study compares the performance of Naïve Bayes and Random Forest classification methods in detecting fake news. Both methods were evaluated on a news dataset comprising 44,898 samples. It uses public data from the Kaggle repository. The news samples are represented by four features: title, news content, subject, and news date. This data is then subjected to cleaning, stemming, tokenization, and feature extraction. The results indicate that the Random Forest method outperforms the Naïve Bayes method. The Random Forest method has an accuracy of 99%, while the Naïve Bayes method has an accuracy of 96%. In general, this research demonstrates that the Random Forest method can be a viable alternative for detecting fake news
Spatial Decision Support System to Determine the Feasibility of Evacuation Posts in Natural Disasters
No full textThis study aimed to improve the accuracy of determining the feasibility of evacuation posts after natural disasters using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) within a Spatial Decision Support System (SDSS). A dataset of 50 evacuation posts from the 2021 Mount Semeru eruption was analyzed. The Rank Order Centroid (ROC) method was applied for criteria weighting, and TOPSIS was used to process the data. Results showed 72% accuracy, confirming that TOPSIS is a passable method for assessing post-feasibility based on accessibility, sanitation, and refugee facilities. Although the focus is on evaluating post-disaster evacuation posts, the system can be adapted for use in various other types of disasters. However, it is still dependent on historical data and lacks real-time adaptability. Future research can integrate Artificial Intelligence (AI) and Machine Learning (ML) with real-time data to improve decision-making in disaster management