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  1. 341

    Impact of Flooding of River Nyamwamba on Community Development: A Case Study of Nyamwamba Sub-County Kasese District. by Bihamba, Juliet

    Published 2024
    “…The study findings showed the causes of flooding of river Nyamwamba in Nyamwamba Sub County show that 28% is caused by heavy rainfall, 15% of the respondents mentioned extensive runoff, 08% river channel changes mentioned by the respondents, 11% urbanization, 14% deforestation and land use activities as mentioned by the respondents, 17% climate change and 06% of the respondents mentioned ice jams. The study revealed the impact of flooding on the economic development of Nyamwamba Sub County in Kasese district, 30% of the respondents mentioned property, infrastructure damage, and loss of lives, 18% agriculture practices, 12% mentioned increased public and private expenses, 07% of the respondents mentioned business destruction, 20% long term economic impact, 08% public health and productivity, 05% strain on public resources. …”
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  2. 342

    Motorcycle Taxi: Initial Discussion on Guidelines for Riding Ajnabiyah Women According to The Sharia Perspective by Mohd Azhar Abdullah, Abdul Azib Hussain, Mohd Saiba Yaacob, Muhammad Lukman Ibrahim, Khairulnazrin Nasir

    Published 2024-05-01
    “…Motorcycle taxi services using Internet software booking systems are rapidly developing as a solution to traffic jams. Momentum Works Report for 2022: Gojek (motorcycle taxi) consumption is almost 64 million, compared to 33.6 million in Indonesia, Vietnam, and Singapore. …”
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  3. 343
  4. 344

    Deteksi Kejadian Lalu Lintas pada Teks Twitter dengan Pendekatan Klasidikasi Multi-Label Berbasis Deep Learning by Luthfi Atikah, Diana Purwitasari, Nanik Suciati

    Published 2022-02-01
    “…Multi-label classification is carried out to identify many traffic situations, such as weather conditions, events, traffic jams, heavy traffic, and smooth traffic. Classification is performed using deep learning approach (CNN and LSTM) and word embedding (word2vec and fastText) with augmented and non-augmented . …”
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  5. 345

    Eliminasi Non-Topic Menggunakan Pemodelan Topik untuk Peringkasan Otomatis Data Tweet dengan Konteks Covid-19 by Putri Damayanti, Diana Purwitasari, Nanik Suciati

    Published 2021-02-01
    “…Abstract Twitter accounts, such as Suara Surabaya, can help spread information about COVID-19 even though there are other topics such as accidents, traffic jams or other topics. Text summarization can be implemented in the case of reading Twitter data because of the large number of tweets available, making it easier to obtain the latest important information related to COVID-19. …”
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  6. 346

    Enhancement of convolutional neural network for urban environment parking space classification by S. Rahman, M. Ramli, F. Arnia, R. Muharar, M. Ikhwan, S. Munzir

    Published 2022-07-01
    “…Drivers looking for parking spaces can cause traffic jams and air pollution. The solution offered at this time is the development of a smart parking system to overcome these problems. …”
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  7. 347

    Iconic Celebration of Charms and Friendship in Poetry: Fálétí’s “Adébímpé Ọ̀jẹ́dòkun” by Michael Oladejo Afoláyan

    Published 2021-12-01
    “…Exasperated, Adébímpé resorted back to the power of the word as he emitted precarious incantations that forced the fingernails of the leopard to sink back into their sockets; the tongue glue jammed into the roof of the mouth; the teeth withdrawing and hiding inside the gums of the clenched jaws. …”
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