• International Journal of Computer Science & Network Security
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• v.23 no.3
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• pp.151-160
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• 2023

The Hadith is the second source of Islamic jurisprudence after Qur'an. Both sources are indispensable for muslims to practice Islam. All Ahadith are collected and are written. But most books of Hadith contain Ahadith that can be weak or rejected. So, quite a long time, scholars of Hadith have defined laws, rules and principles of Hadith to know the correct Hadith (Sahih) from the fair (Hassen) and weak (Dhaif). Unfortunately, the application of these rules, laws and principles is done manually by the specialists or students until now. The work presented in this paper is part of the automatic treatment of Hadith, and more specifically, it aims to automatically process the chain of narrators (Hadith Isnad) to find its different components and affect for each component its own tag using a statistical method: the Hidden Markov Models (HMM). This method is a power abstraction for times series data and a robust tool for representing probability distributions over sequences of observations. In this paper, we describe an important tool in the Hadith isnad processing: A chunker with HMM. The role of this tool is to decompose the chain of narrators (Isnad) and determine the tag of each part of Isnad (POI). First, we have compiled a tagset containing 13 tags. Then, we have used these tags to manually conceive a corpus of 100 chains of narrators from "Sahih Alboukhari" and we have extracted a lexicon from this corpus. This lexicon is a set of XML documents based on HPSG features and it contains the information of 134 narrators. After that, we have designed and implemented an analyzer based on HMM that permit to assign for each part of Isnad its proper tag and for each narrator its features. The system was tested on 2661 not duplicated Isnad from "Sahih Alboukhari". The obtained result achieved F-scores of 93%.

• International Journal of Computer Science & Network Security
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• v.22 no.11
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• pp.1-10
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• 2022

This study aims to build a model is capable of classifying the categories of hadith, according to the reliability of hadith' narrators (sahih, hassan, da'if, maudu) and according to what was attributed to the Prophet Muhammad (saying, doing, describing, reporting ) using the supervised learning algorithms, with a view to discover a relationship between these classifications, based on the outputs of this model, which might be useful to avoid the controversy and useless debate on automatic classifications of hadith, using some of the statistical methods such as chi-square, information gain and association rules. The experimental results showed that there is a relation between these classifications, most of Sahih hadiths are belong to saying class, and most of maudu hadiths are belong to reporting class. Also the best classifier had given high accuracy was MultinomialNB, it achieved higher accuracy reached up to 0.9708 %, for his ability to process high dimensional problems and identifying the most important features that are relevant to target data in training stage. Followed by LinearSVC classifier, reached up to 0.9655, and finally, KNeighborsClassifier reached up to 0.9644.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.331-339
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• 2021

The youths are characterized by their reckless and ambitious behavior. They exhibit a strong tendency to make risky decisions that may jeopardize their future. These qualities are also in line with their experience-seeking behavior. As young entrepreneurs aim high in profit-seeking activities, their ethical stance may be compromised. Moreover, their money profile increases at an accelerated pace, leading them to love money even more. Quantitatively, this study was the first to investigate the behavior of young entrepreneurs in terms of their love of money, religiosity, and ethical perceptions by adopting the hadith perspective in Islamic tradition by developing the scales of all constructs. The respondents were 261 members of the Indonesian Young Entrepreneur Association in Sulawesi Selatan, Indonesia. This study also examined gender as the moderating variable. This study found that the love of money affects ethical perception negatively; on the other hand, religiosity positively affected ethics. Gender is found to moderate religiosity, but not love of money. These results signify the harmful impact of loving money too much on young entrepreneurs' ethics; furthermore, the scales developed from hadith revelation were able to capture the empirical findings significantly.

• Journal of Information Processing Systems
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• v.20 no.1
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• pp.1-12
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• 2024

Nowadays, Islamic content is widely used in research, including Hadith and the Al-Quran. Both are mostly used in the field of natural language processing, especially in text classification research. One of the difficulties in learning the Al-Quran is ambiguity, while the Al-Quran is used as the main source of Islamic law and the life guidance of a Muslim in the world. This research was proposed to relieve people in learning the Al-Quran. We proposed a word embedding feature-based on Tensor Space Model as feature extraction, which is used to reduce the ambiguity. Based on the experiment results and the analysis, we prove that the proposed method yields the best performance with the Hamming loss 0.10317.

• The Southeast Asian review
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• v.23 no.3
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• pp.181-215
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• 2013

The purpose of this paper is to examine the process of Islamic change in Indonesia since the 1970s, which is commonly called 'Islamic resurgence' or 'Islamization.' A brief analysis of the reasons for Islamic resurgence is followed by discussions on its long-term effects on the life of Indonesian Muslims. Shift in the ways Islamic matters have been treated in public, gradual realization of what Islamic groups have demanded in non-religious areas, stipulation of local regulation based on shariah and spread of radicalism are to be investigated one by one. With these examinations, it will be argued that the most significant change throughout the last four decades has been the surge of Islam as a reference point to interpret everyday life of Muslims. The dichotomy of 'Islamic' and 'non-Islamic' is instated as a key in Islamic discourse and the Quran and Hadith, as a criterion to judge whether certain views and behavior are Islamic or not. These have strengthened the position of scripturalism in Indonesian Islam. Islamic resurgence has also resulted in the acceleration of the diversification of Indonesian Muslims. Muslims with radical, fundamental, reformist, traditional and liberal views coexist, competing for stronger social and religious influences. As radical and fundamental groups have been more active in dealing with socio-political affairs recently, whether their active involvement will result in wider influences over the ordinary Muslims is the key to understand the future dynamics of Indonesian Islam.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.8
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• pp.475-486
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• 2021

Religiosity is often perceived as a trait that can effectively suppress attitudes and behavior that lead to people evading taxes. However, this study finds that Islamic religiosity has a complicated relationship with tax evasion. This study employs a mixed-method, which involves collecting, analyzing, and integrating quantitative and qualitative research, and this integration provides a better understanding of the research problem. Qualitative analyses of the sermons of prominent Islamic clerics speaking on taxes on YouTube channels revealed different views. The textualists/conservative clerics viewed taxes are prohibited based on the fact of Islamic history and tax prohibition stated in a hadith. Furthermore, tax compliance is determined solely by the threat of punishment from the government. On the other hand, the moderate preachers seem to be more flexible in response to tax issues. They involve the framework of contextual and analogical-historical practice. Quantitative analyses from the survey found that Islamic religiosity is not directly correlated with tax evasion. However, the sentiment of Islamic law adoption by the state has significantly mediated the correlation between them. In addition, respondents who affiliate with moderate Islamic organizations tend to have less justification of tax evasion than those who affiliate with conservative organizations or movements.

• CELLMED
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• v.5 no.4
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• pp.22.1-22.7
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• 2015

Depression is an important medical problem in today's world. Despite its high prevalence, treatment of depression remains problematic, as its cause is still not fully understood. Of the ways recommended to tackle this problem is implementing the potentials of various medical schools. A medical school which has played an important role in the history of medicine in the world is Persian medicine. This study was intended to identify non-pharmacological interventions for depression in the most reliable references on Persian medicine, classify these interventions and compare them with the latest medical findings. The study was set to review the most reliable references on Persian medicine. In addition, relevant keywords were used to search the PubMed and Scopus databases. In Persian medicine sources, melancholia is categorized into three main types. One type is regarded as cerebral melancholia, which resembles modern psychiatry's depression closely. Therefore, some key points put forth by Persian medicine scholars regarding melancholia can be used to answer questions concerning depressive disorders and their etiology and treatment. Although recent studies have confirmed most approaches offered by Persian medicine physicians in ancient Persia, it is imperative to design and conduct clinical trial studies according to these approaches.

• Clinical Nutrition Research
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• v.12 no.1
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• pp.7-20
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• 2023

Creating a complex balance between dietary composition, circadian rhythm, and the hemostasis control of energy is important for managing diseases. Therefore, we aimed to determine the interaction between cryptochrome circadian clocks 1 polymorphism and energy-adjusted dietary inflammatory index (E-DII) on high-sensitivity C-reactive protein in women with central obesity. This cross-sectional study recruited 220 Iranian women aged 18-45 with central obesity. The 147-item semi-quantitative food frequency questionnaire was used to assess the dietary intakes, and the E-DII score was calculated. Anthropometric and biochemical measurements were determined. By polymerase chain response-restricted length polymorphism method, cryptochrome circadian clocks 1 polymorphism was assigned. Participants were categorized into three groups based on the E-DII score, then categorized according to cryptochrome circadian clocks 1 genotypes. The mean and standard deviation of age, BMI, and high-sensitivity C-reactive protein (hs-CRP) were 35.61 ± 9.57 years, 30.97 ± 4.16 kg/m², and 4.82 ± 5.16 mg/dL, respectively. The interaction of the CG genotype and E-DII score had a significant association with higher hs-CRP level compared to GG genotype as the reference group (β, 1.19; 95% CI, 0.11-2.27; p value, 0.03). There was a marginally significant association between the interaction of the CC genotype and the E-DII score with higher hs-CRP level compared to the GG genotype as the reference group (β, 0.85; 95% CI, -0.15 to 1.86; p value, 0.05). There is probably positive interaction between CG, CC genotypes of cryptochrome circadian clocks 1, and E-DII score on the high-sensitivity C-reactive protein level in women with central obesity.