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Ibn Al-Haytham’s Classification of Knowledge Usep Mohamad Ishaq; Wan Mohd Nor Wan Daud
Al-Jami'ah: Journal of Islamic Studies Vol 55, No 1 (2017)
Publisher : Al-Jami'ah Research Centre

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ajis.2017.551.189-210

Abstract

Ibn al-Haytham (d. 1039) is a well known scholar for his contributions in natural and mathematical sciences. The research focuses on his works in sciences and mathematics and only a few studies carry out on his contribution on philosophy due to the lack of the primary sources. The only known surviving Ibn al-Haytham’s work on philosophy is Kitāb Thamarah al-ḥikmah. However, few studies have examined and explored this work. Based on this work, the present study tries to scrutinize Ibn al-Haytham’s epistemology and focused mainly on his classification of knowledge. The comparative study of Ibn al-Haytham’s classification of knowledge and that of al-Fārābī‘s, Ibn Ḥazm’s, Ṭūsī’s, and al-Ghāzālī  is also carried out. The result shows that Ibn al-Haytham has two mode of classifications: the ontological and epistemological. It is also obvious that Ibn al-Haytham tries to integrate Greek philosophy and sciences within the worldview of Islām. The results of the present study also suggests that the nexus between the concept of classification of knowledge and the concept of perfect man (al-insān al-tāmm) is obvious.[Ibn al-Haytham (w. 1039) adalah sarjana yang dikenal sumbangsihnya dalam ilmu-alam dan matematika. Penelitian-penelitian hingga saat ini cenderung difokuskan pada karya-karya sains dan matematikanya saja dan hanya sedikit dilakukan pada karya-karya filsafatnya karena kurangnya rujukan primer. Satu-satunya karya Ibn al-Haytham yang ada dalam bidang filsafat adalah Kitāb Thamarah al-Ḥikmah. Namun, studi yang dilakukan untuk meneliti dan mengeksplorasi karya ini sejauh ini amat kurang. Berdasarkan karyanya tersebut, kajian ini mencoba untuk meneliti dengan seksama epistemologi Ibn al-Haytham dan utamanya difokuskan pada klasifikasi ilmu pengetahuan. Studi perbandingan antara klasifikasi ilmu Ibn al-Haytham dengan al-Fārābī‘s, Ibn Ḥazm’s, Ṭūsī’s, and al-Ghāzālī juga dihadirkan. Hasil penelitian menunjukkan bahwa Ibn al-Haytham memiliki dua cara klasifikasi ilmu pengetahuan. Juga sangat nampak bahwa Ibn al-Haytham mencoba memadukan filsafat dan sains Yunani dalam pandangan alam Islam. Kajian ini juga menunjukkan bahwa terdapat hubungan yang jelas antara konsep klasifikasi ilmu pengetahuan dengan konsep manusia sempurna (al-insān al-tāmm)]
Pandangan Ibn al-Haytham Tentang Jiwa Usep Mohamad Ishaq
Psikis : Jurnal Psikologi Islami Vol 7 No 2 (2021): Psikis : Jurnal Psikologi Islami
Publisher : Program Studi Psikologi Islam, Fakultas Psikologi, Universitas Islam Negeri Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/psikis.v7i2.5212

Abstract

Ibn al-Haytham (965-1039) is hitherto known merely as a prominent scientist and mathematician who contributed to the development of science and mathematics. His contribution in philosophy and religious sciences are not exposed yet, therefore some scholars e.g. Muhammad Saud (1990), Saleh Beshara Omar (1977), Roshdi Rashed (2007), and many others, consider him neglecting philosophical and religious issues and regarded him to be a secular-positivist scholar. consider him to be uninterested in philosophical and religious issues. However, study has been done from the his primary works, especially his work namely Kitab Thamarah al-Ḥikmah that still rarely studied by researchers of Ibn al-Haytham thought. The method used in this study is the historical and philosophical methods. The results obtained clearly show that Ibn al-Haytham was not merely scientist and mathematician, he was also a philosopher who had contributed in explaining human psychology which accepted other philosophers. He elucidates the faculties of human soul and explains the relation between soul and the concept of happiness.
PENERAPAN CONVOLUTIONAL NEURAL NETWORK UNTUK PENGENALAN BAHASA ISYARAT INDONESIA: STUDI KASUS DAN TINJAUAN FILSAFAT SAINS Hernalom Sitorus; Ucu Nugraha; Sri Titi Handayani; Agus Nursikuwagus; Usep Mohamad Ishaq; Andrias Darmayadi
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 12 No. 2 (2026)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/jitter.vol12.iss2.2026.3448

Abstract

The low literacy of Indonesian Sign Language (BISINDO) in the general public remains a barrier to communication with the Deaf community, while research on AI-based sign language recognition generally focuses solely on technical achievements. This study aims to develop a BISINDO alphabet recognition system based on Convolutional Neural Network (CNN) and evaluate it through a philosophy of science perspective. The methods used include collecting a BISINDO alphabet hand image dataset, data augmentation, and transfer learning-based CNN training with the MobileNetV2 architecture and a stepwise training scheme, then deployed to Android using TensorFlow Lite. Test results show the system is able to achieve an accuracy of around 93% on controlled test data with stable real-time inference performance. The scientific contribution of this research is not only in the development of applied AI systems, but also in providing a reflective ontological, epistemological, and axiological framework to assess the validity and social implications of BISINDO recognition technology.
Open Government Data Analytics of Tourist Visits In West Java 2014–2024: A Data Science and Philosophy of Science Perspective Ucu Nugraha; Hernalom Sitorus; Sri Titi Handayani; Agus Nursikuwagus; Usep Mohamad Ishaq; Andrias Darmayadi
Sistemasi: Jurnal Sistem Informasi Vol 15, No 4 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i4.6175

Abstract

Open Government Data (OGD) in tourism provides opportunities for data-driven analytics to support destination management policies. In policy practice, tourism OGD is often accepted at face value as a direct representation of real-world conditions, even though such data are constructed through definitions, recording procedures, and measurement choices. Therefore, a philosophy of science perspective is essential in data governance. This article analyzes an Open Data Jabar dataset on the number of tourist visits by visitor type and district/city in West Java Province for the period 2014–2024 (n = 565; 27 districts/cities; two visitor categories: domestic and international). The data science approach includes data quality auditing (completeness and consistency), time-series aggregation, spatial concentration measurement using the Gini coefficient, and a comparison of shock–recovery patterns in tourist visits before and after the pandemic. The results indicate a decline in total visits of -50.6% in 2020 compared to 2019, with international visits experiencing the sharpest drop (-82.8%). By 2024, total visits reached 64,517,298, dominated by domestic tourists (63,963,443; international share 0.9%). Spatial concentration in 2024 is reflected by a Gini coefficient of 0.429, with the top five regions accounting for 44.2% of total visits. The discussion emphasizes that visitor counts are epistemic representations shaped by definitions, reporting practices, and data cleaning processes. Therefore, policy recommendations should be accompanied by data provenance, metadata, and explicit uncertainty annotations to avoid the reification of indicators.
Epistemologi Artificial Intelligence: Kebenaran, Validitas, dan Otoritas Algoritmik Sri Nurhayati; Diana Effendi; Agus Nursikuwagus; Usep Mohamad Ishaq; Andrias Darmayadi
AL-MIKRAJ Jurnal Studi Islam dan Humaniora (E-ISSN 2745-4584) Vol. 6 No. 1: Al-Mikraj, Jurnal Studi Islam dan Humaniora
Publisher : Pascasarjana Institut Agama Islam Sunan Giri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/almikraj.v6i1.8530

Abstract

The development of artificial intelligence (AI) has brought fundamental changes in the way knowledge is produced, validated, and accepted in various sectors of life. Algorithmic models, especially deep learning, generate predictions and recommendations that are often treated as operational truths even though the inference process is not fully explainable. This study analyzes how AI changes the understanding of truth, validity, and epistemic authority from the perspective of the philosophy of science, and links it to the ontological and axiological dimensions in modern knowledge production. A qualitative approach based on philosophical analysis is used to integrate the thoughts of Popper, Kuhn, Lakatos, Van Fraassen, and Floridi. The results show that AI shifts knowledge from rational justification to performative and statistical validity, and challenges the position of humans as the primary epistemic agents. This study asserts that the epistemic transformation triggered by AI requires ontological and axiological reflection so that the development of knowledge remains in line with humanitarian principles and ethical responsibility
Epistomologi Sains di Era Kecerdasan Buatan: Menimbang Kebenaran Prediktif Popon Dauni; Rizal Rachman; Sri Erina Damayanti; Agus Nursikuwagus; Usep Mohamad Ishaq; Andrias Darmayadi
AL-MIKRAJ Jurnal Studi Islam dan Humaniora (E-ISSN 2745-4584) Vol. 6 No. 1: Al-Mikraj, Jurnal Studi Islam dan Humaniora
Publisher : Pascasarjana Institut Agama Islam Sunan Giri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/almikraj.v6i1.8879

Abstract

The development of artificial intelligence (AI), particularly machine learning and deep learning, has brought significant changes to contemporary scientific practices. AI no longer functions solely as a computational tool, but plays an active role in the production, validation, and evaluation of scientific knowledge through data modelling and probabilistic inference. This development raises fundamental questions in the philosophy of science, particularly regarding the shift in the concept of scientific truth from the paradigm of empirical verification and causal explanation towards an approach based on prediction, mathematical approximation, and the management of uncertainty. This research aims to re-evaluate the status of scientific truth in the age of AI by philosophically analysing the relationship between uncertainty, computational knowledge, and scientific truth claims generated by AI models. The research method used is a qualitative study based on literature review and conceptual analysis of contemporary science and technology philosophy literature. The study results indicate that the integration of AI into scientific practice is driving a shift in the epistemology of science from a verifiative orientation towards a predictive epistemology that emphasises model reliability and instrumental validity. This research concludes that scientific truth in the AI era is more contextual and pragmatic, thus demanding an adaptive, reflective, and interdisciplinary framework for the epistemology of science. Theoretically, scientific truth in the age of artificial intelligence is more contextual, thus requiring an adaptive, reflective, and interdisciplinary framework for the epistemology of science as its main theoretical contribution.