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Managing stress from the perspectives of al-Ghazali and al-Dihlawi
No full textStress generally refers to a mental and spiritual state that is
unable to accept a situation to cause emotional stress. This
condition will be even worse if the individual does not seek
treatment or therapy to prevent this emotional instability from
lasting. As such, this study aims to analyze methods in dealing
with stress based on Islamic perspectives in particular according
to the views of al-Ghazali and al-Dihlawi. This qualitative study
used data collection methods in the form of content analysis. The
data was analyzed based on inductive, deductive, and comparative
methods to obtain the results of the study. The study found that the
devotion in prayer highlighted by al-Ghazali and al-Dihlawi can
facilitate stress management. This is because of the steadfastness
of one\u27s heart towards the Creator and the peace of one\u27s soul
when feeling devout in prayer. Consequently, people who are
devout in prayer are indeed able to face challenges while
reducing stress in life
A study on air pollution index in Sabah and Sarawak using principal component analysis and artificial neural network
No full textPersonality prediction using machine learning classifiers
No full textPersonality is a fundamental basis of human behaviour. At most basic, personality including patterns of thought, feeling, behaviours that make an individual unique. Personality will directly or indirectly influence the interaction or preferences of a person. This research using different learning algorithms and concepts of data mining to mine on the data features and learn from the pattern. The aim of this experiment is to explore different options of the algorithm on modifying the personality prediction source code by using logistic regression algorithm, and to find whether the accuracy of the classification can be improved. There are five characteristics of different people that are known as the Big Five characteristic, which is openness, neuroticism, conscientiousness, agreeableness and extraversion that have been stored in the dataset used for training. Then, an overview and comparison will be provided on the different measures taken to reduce the issues faced by researchers in this field. Classification methods implemented are Support Vector Machine, Ridge Algorithm, Naive Bayes, Logistic Regression and Voting Classifier. Testing results showed that the Logistic Regression still outperformed the other methods
Public good theory: a theoretical justification for permissive licence to use and re-use orphan works
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Sorotan literatur terhadap cabaran pendidikan Islam anak-anak mualaf di Malaysia
No full textPendidikan agama Islam merupakan perkara yang amat penting dalam membina masyarakat Islam yang mempunyai jati diri yang kuat dan utuh. Ilmu pengetahuan agama Islam meliputi akidah, ibadah, syariah dan akhlak merupakan antara komponen penting yang perlu dipelajari oleh setiap individu khususnya yang bergelar Muslim. Perkembangan dakwah Islam di Malaysia menyebabkan berlakunya pemelukan agama Islam dari pelbagai bangsa dan agama. Kelompok yang baru memeluk Islam dikenali sebagai mualaf ini amat memerlukan bantuan dari aspek pendidikan Islam bagi menjadikan diri mereka sebagai Muslim yang sejati. Kelemahan mualaf dalam memahami, mengamalkan dan menghayati agama memberi cabaran yang besar kepada pendidikan keagamaan anak-anak mualaf. Oleh itu, kajian ini akan mengenal pasti cabaran yang dihadapi oleh anak-anak mualaf di Malaysia dalam memperkasakan pendidikan agama mereka. Kajian ini menggunakan kajian kepustakaan melalui penelitian tulisan-tulisan dan dokumen yang berkaitan anak mualaf. Hasil sorotan kajian lepas menunjukkan cabaran yang dihadapi anak-anak mualaf dalam mendapatkan pendidikan Islam ialah seperti cabaran penghayatan agama, cabaran ibubapa yang kurang asas agama dan buta huruf, cabaran kewangan dan cabaran latar belakang keluarga. Kajian ini mencadangkan agar anak-anak mualaf diberikan penekanan yang khusus dalam aspek pendidikan agama Islam oleh agensi-agensi yang terlibat bagi mengukuhkan jati diri mereka sejak kecil bagi mengelakkan sebarang bentuk anasir yang mampu merencatkan nilai keagamaan mereka
Influence of taqwa (piety) on sustaining corporate governance of zakat institutions
No full textThis study examines the influence of taqwa (piety) on sustaining
corporate governance. Taqwa (piety) manifests sincerity, integrity,
wisdom, and persistency in generating ethical decisions and actions.
Organizational corporate governance is in the hands of gatekeepers,
employees, and other stakeholders of organizations. Any inadequacy
of ethical decisions and actions is a reflection of deficit in taqwa
(piety). This study uses personal interview to solicit the views of
selected gatekeepers and executives of zakat institutions in Southeast
Asia pertaining to the influence of taqwa (piety) level of the
gatekeepers in sustaining good corporate governance in zakat
institutions. The gatekeepers argued that professionalism and
transparency are embedded in the code of conduct for professionals.
The legal abiding behavior is confined within the scope of the code
of conduct. Beyond legal obligation is the social obligation. The
executives contended that taqwa (piety) is the essential spiritual
strength to sustain ethical action through corporate governance. The
study argued that taqwa (piety) in ethical leadership sustains
organizational corporate governance