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PROGRAM PENYALURAN BERAS MISKIN DI KECAMATAN SIAK HULU KABUPATEN KAMPAR TAHUN 2015-2016 Fadhillah, M. Arif; M, Erman
Jurnal Online Mahasiswa (JOM) Bidang Ilmu Sosial dan Ilmu Politik Vol. 6: Edisi II Juli - Desember 2019
Publisher : Fakultas Ilmu Sosial dan Ilmu Politik Universitas Riau

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Abstract

One of the poverty alleviation programs carried out by the government is to provide assistance in the form of basic needs of rice to poor households so that this is expected to reduce poverty in the region. The implementation of the poor rice distribution program is carried out one of them in the Siak Hulu District of Kampar Regency with the target of poor households with an economic category of poor households.This research uses descriptive qualit   ative method by describing the current state of the subject and object of research based on the facts that occur. The research location is in Siak Hulu Subdistrict, Kampar Regency and the writer collected research data from interviews with research informants as well as documentation of books, government regulations, journals, mass media several internet media sites.This research concludes that the implementation of the poor rice distribution program (Raskin) in Siak Hulu District, Kampar Regency was carried out in accordance with government regulations ranging from district level distribution to the point of ransom. Several factors that hampered the implementation of the poor rice distribution program (Raskin) in Siak Hulu Subdistrict, Kampar Regency were the lack of communication and socialization among the implementation team, the low quality of implementing resources, the attitude of program implementers who were not serious and the absence of clear operational standards in the distribution raskin in Siak Hulu District so that the price sold does not match the price of the redemption point.Keywords:  implementations, program and rice poor.  
Tanggapan Santri Terhadap Manfaat Olahraga dalam Membentuk Kepribadian (Penelitian pada Pasantren Misbahuddin Kecamatan Kembang Tanjong Kabupaten Pidie) Fadhillah, M. Arif; Yahya, M.; Muhammad, Muhammad
Education Enthusiast : Jurnal Pendidikan dan Keguruan Vol 4, No 1 (2024): Februari
Publisher : Fakultas Keguruan dan Ilmu Pendidikan Universitas Jabal Ghafur

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Abstract

Penelitian ini bertujuan untuk memperoleh informasi mengenai tanggapan santri dalam melakukan kegiatan berolahraga dan mengetahui faktor-faktor yang menjadi kendala bagi santri pondok pesantren Misbahuddin sehingga kurang termotivasi melakukan kegiatan olahraga. Pengambilan data dilakukan dengan angket (kuesioner), dan sumber data berasal dari individu-individu yang ditemui. Data dari angket dianalisis menggunakan analisis deskriptif persentase. Hasil penelitian menunjukkan bahwa untuk motivasi intrinsik, faktor kebutuhan fisiologis memiliki indikator memelihara kesehatan sebesar 89,75% dan indikator kebutuhan sebesar 83,60%. Faktor kebutuhan rasa aman memiliki indikator terhindar dari penyakit sebesar 81,10%. Faktor kebutuhan aktualisasi diri memiliki indikator menyalurkan energi sebesar 80,84% dan indikator untuk latihan sebesar 85,54%. Untuk motivasi ekstrinsik, faktor kebutuhan sosial memiliki indikator berhubungan dengan konsep sebesar 82,52% dan indikator berhubungan dengan orang lain sebesar 77,35%. Kemudian, faktor kebutuhan akan penghargaan memiliki indikator mencapai hasil sebesar 72,27%. Hasil penelitian ini memberikan gambaran mengenai tanggapan santri terhadap manfaat olahraga dalam membentuk kepribadian dan faktor-faktor yang memengaruhi motivasi santri dalam berolahraga.
Modeling Public Transportation Policy Using Macroscopic Social Media Data Mining Adi Purnama, Dwi; Anugrah Muzaffar Rana, Zahid; Pinkan Lumi, Distian; Tahta Haritza, Inggil; Fadhillah, M. Arif
Spektrum Industri Vol. 23 No. 2 (2025): Spektrum Industri - October 2025
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v23i2.327

Abstract

Transportation policies must be created by the government, especially in countries with high population expansion, transportation services are used more to meet daily necessities. Conventional surveys to gauge public opinion are costly and slow; social media offers a macro-level proxy that can complement official data. This study employs large-scale online data mining to build decision support for transportation policy. We collected 19,806 Indonesia-based Twitter posts referencing public transport, private transport, sustainable mobility, and electric vehicles. After preprocessing, we fine-tuned IndoRoBERTa for sentiment classification and applied Latent Dirichlet Allocation for topic modeling. The sentiment model achieved 81.17% accuracy, with precision, recall, and F1-scores all above 0.80. Positive discourse concentrated on private vehicles, public transit, multimodal travel, and environmentally responsible practices, with many users endorsing eco-friendly private cars. Negative discourse emphasized severe air pollution, frequently attributing risk to emissions from private automobiles in Jakarta. Translating these insights into policy, we propose expanding electric-vehicle charging infrastructure, implementing vehicle buy-back/retirement programs, establishing low-emission zones, and promoting biofuels. The results demonstrate that macroscopic social media analytics can surface actionable public preferences and pain points, enabling near-real-time monitoring to inform adaptive and equity-oriented transportation policies. This framework provides a scalable approach for governments in rapidly growing contexts to align service provision with community sentiment while advancing sustainability goals.