Suchergebnisse

Abstrak; Konstruksi nalar politik kenegaraan Arab-Islam yang di formulasikan oleh Muhammad Abed al-Jabiri merupakan bagian dari Ikhtiar dalam menyamakan persepsi masyarakat Arab minimal pada tingkat Pemikiran dan epistimologis sebelum sampai pada persatuan bangsa Arab (al-Wihdah al-Arabiyyah ) pada tingkat empiris yaitu pada tataran sosiologis dan politis. Idiologi nalar politik kenegaraan Arab-Islam dalam konteks ini berusaha diwujudkan tidak hanya pada tingkat sosiologis dan epistimilogis bangsa Arab saat ini, akan tetapi juga berusaha mentransformasikan kemajuan Arab-Islam pada masa lampau dalam tradisi (turats), dimana ia akan mencari unsur-unsur kemajuan dalam upaya merekatkan dan mempersatukan aspek-aspek kebudayaan Arab yang terceraiberai sehingga memungkinkan untuk dijadikan pijakan idiologis kebangkitan "Nasionalisme Arab-Islam", dengan melakukan upaya reinterpretasi dan pembacaan terhadap konsep al-Aqidah, al-Kabilah dan al-Ghanimah secara praksis dan aplikatif dalam konteks kekinian. Kata Kunci: Nalar Politik kenegaraan, Arab-Islam, al-Jabiri

This research aims to explore the characteristics of poverty and its eradication strategies. The study employed a qualitative approach by interviewing 100 respondents who are categorized as poor in the city of Makassar. As the typology of poverty is categorized into two main groups, it was found that the most dominant typology of poverty in Makassar is the typology of cultural poverty reaching 42.3% greater than the natural rate of 27.4% and typology of structural poverty reaching 31.3%. In addition, it was discovered that cultural poverty is predominantly based on indicators that Makassar communities still have strong faith in destiny and have many family members. It is argued that the government policy in issuing the regulation is also considered to be one of the causes of structural poverty such as discrimination practices toward the poor, rampant evictions of street merchants, and lack of employment availability. ; peer-reviewed

The purpose of this study is to derive a demand function for
jute goods in Pakistan. Such an exercise is necessary for several
reasons; to provide a systematic analysis of the forces that govern the
demand for jute goods in Pakistan and to make it possible to provide
(assuming no serious structural changes within the economy) a reasonably
probable basis for planning future production targets in jute goods,
since internal demand together with export demand would determine such a
target. At this date it is difficult to discern any significant
time-trend for jute demand; there have been large year-to-year
fluctuations. To indicate the nature of such fluctuations: the figure
for internal demand in 1960-61 was 16.87 per cent lower than that of
1956-57 while the figure for 1961-62 was 0.11 per cent lower than the
level of 1956-57 and 20.16 per cent above the level of 1960-61 (see,
Appendix Table A-l). However, since demand for jute goods is a derived
demand, such fluctuations could not have been primarily random, nor
could they have been due to any odd factor such as the enigma of taste
changes. Such fluctuations can then be sought to be traced to the
fluctuations in the levels of its determinants and the purpose here,
essentially, is to find whether these demand fluctuations can be
systematically explained as being caused by changes in some of these
determining variables.

With today's advanced technology microstrip patch antennas are more flexible and stronger than ever before. These antennas can work on various frequencies ranging from low to high for a huge variety of applications including medical, military and quite a few more. This paper presents the textile antennas those are designed for Wi-MAX application with the frequency range of 3.09–3.94 GHz, fifth generation (5G) lower band with the resonant frequency of 4.23–5.65 GHz and UWB 4.62–10.74 GHz applications. This work also introducing a single C-shape etching slot (CSES) in a rectangular patch antenna. The textile substrate (jeans) has been applied to reduce the surface wave losses and design a wearable textile antenna using microstrip line feed technology. Bending effect up to 750 and radiation effect on human tissue as specific absorption rate (SAR) are analyzed using Computer Simulation Technology (CST) tools. Textile antennas for multiple band applications can be created using CSES which can be attributed to cotton, denim cotton and polyester.

Penelitian ini bertujuan untuk mendeskripsikan dan menganalisis proses penyelenggaraan Musrenbang Desa di Desa Bulo-Bulo dari tahapan Pra Musrenbang Desa sampai dengan Pasca Musrenbang Desa, faktor pendukung dan penghambatnya secara kualitatif. Metode yang digunakan adalah pengamatan, wawancara, dan dokumentasi. Informan dipilih secara purposive sampling. Hasil penelitian menunjukkan, bahwa proses penyelenggaraan Musrenbang Desa di Desa Bulo-Bulo tidak berjalan maksimal sebagaimana mestinya, dan tidak mencerminkan perencanaan desa yang partisipatif, akomodatif, dan demokratis. Terdapat pula faktor pendukung dan penghambat partisipasi masyarakat dalam penyelenggaraan Musrenbang Desa di Desa Bulo-Bulo. Faktor pendukung yaitu: (1) Kesadaran dan kemauan warga, (2) Kemampuan dan kesempatan warga, (3) Kekerabatan dan kekeluargaan, (4) Jenis kelamin, (5) Tingkat pendidikan. Sedangkan faktor penghambat, meliputi: (1) Sosialisasi yang tidak berjalan, (2) Egosentris individu atau kelompok (3) Pengetahuan dan keterampilan (SDM) Aparatur Desa yang terbatas, (4) Pembatasan jumlah peserta Musrenbang, (5) Perbedaan sikap dan pandangan politik.

The COVID-19 outbreak resulted in preventative measures and restrictions for Bangladesh during the summer of 2020—these unstable and stressful times led to multiple social problems (e.g., domestic violence and divorce). Globally, researchers, policymakers, governments, and civil societies have been concerned about the increase in domestic violence against women and children during the ongoing COVID-19 pandemic. In Bangladesh, domestic violence against women and children has increased during the COVID-19 pandemic. In this article, we investigated family violence among 511 families during the COVID-19 outbreak. Participants were given questionnaires to answer, for a period of over ten days; we predicted family violence using a machine learning-based model. To predict domestic violence from our data set, we applied random forest, logistic regression, and Naive Bayes machine learning algorithms to our model. We employed an oversampling strategy named the Synthetic Minority Oversampling Technique (SMOTE) and the chi-squared statistical test to, respectively, solve the imbalance problem and discover the feature importance of our data set. The performances of the machine learning algorithms were evaluated based on accuracy, precision, recall, and F-score criteria. Finally, the receiver operating characteristic (ROC) and confusion matrices were developed and analyzed for three algorithms. On average, our model, with the random forest, logistic regression, and Naive Bayes algorithms, predicted family violence with 77%, 69%, and 62% accuracy for our data set. The findings of this study indicate that domestic violence has increased and is highly related to two features: family income level during the COVID-19 pandemic and education level of the family members.

Die Covid-19-Pandemie hat das Leben freier Künstler*innen noch stärker prekarisiert, als es bereits zuvor der Fall war. Solidarität und Zusammenarbeit in der freien Szene sind daher wichtiger denn je. Doch was heißt es eigentlich, solidarisch zu sein? Kann die Förderung der freien darstellenden Kunst solidarisch sein? Was bedeutet es, Geld zu verteilen, und warum ist die aktuelle Vergabe von Mitteln wenig solidarisch? Die Beiträger*innen fassen die Ergebnisse einer regelmäßigen, über zwei Jahre andauernden Diskussion um diese Fragen zusammen. Dabei stellen sie beziehungsorientierte Alternativen vor, um Kunstförderung neu zu organisieren - ein unabdingbarer Schritt hin zu einer fairen und gerechten Kulturlandschaft.