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All Journal KAPAL Jurnal Ilmu Pengetahuan dan Teknologi Kelautan Journal of Aquatropica Asia Jurnal IPTEK Jurnal Geologi dan Sumberdaya Mineral (Journal of Geology and Mineral Resources) Jurnal Ilmiah Universitas Batanghari Jambi Civil Engineering Journal INOVTEK POLBENG Dinamisia: Jurnal Pengabdian Kepada Masyarakat Edukasi Islami: Jurnal Pendidikan Islam Owner : Riset dan Jurnal Akuntansi INTEK: Jurnal Penelitian JURNAL KAJIAN TEKNIK SIPIL METIK JURNAL Joined Journal (Journal of Informatics Education) Indomera : Jurnal Magister Manajemen Journal of Electrical Engineering and Computer (JEECOM) KESANS : International Journal of Health and Science Indonesian Journal of Research and Educational Review (IJRER) Bulletin of Community Service and Development (BCSD) Peradaban Journal of Law and Society COREAI: Jurnal Kecerdasan Buatan, Komputasi dan Teknologi Informasi Ranah Research : Journal of Multidisciplinary Research and Development Journal of Islamic and Occidental Studies (JIOS) Jurnal Geologi dan Sumberdaya Mineral (Journal of Geology and Mineral Resources) JAR'S (Journal of Advanced Research in Informatics) JURNAL LIGA ILMU SERANTAU TANJAK : Jurnal Pengabdian Kepada Masyarakat Madania: Jurnal Kajian Keislaman
Jamal Jamal
Balai Diklat Keagamaan Surabaya
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Journal : Journal of Electrical Engineering and Computer (JEECOM)

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Implementation of the C4.5 Decision Tree Algorithm in Determining PIP Recipient Students Based on Poverty Susanto, Heri; Yanto, Dwi; Jamal, Jamal; Anam, Choirul; Nafisah, Thohirotun
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 1 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i1.11078

Abstract

The Program Indonesia Pintar (PIP) is a government assistance in the form of a certain amount of cash given directly to students who are vulnerable to poverty according to the established criteria. However, in its implementation, there are still many recipients of PIP funds who are still not on target. Several results of evaluations and ongoing studies on the implementation of PIP show weaknesses in this program, namely related to the accuracy of determining the target of PIP fund recipients, where it was found that there were still many non-poor households who received this PIP fund assistance. The purpose of this study is to produce a decision support system to determine students who are truly worthy of being recommended to receive PIP fund assistance. The method used in this study is the Decision Tree C4.5 algorithm. The data used were 300 datasets, by selecting several relevant attributes. For processing using the Rapidminer tool, one of the popular software used in data mining processing. Meanwhile, the evaluation method uses a confusion matrix by calculating the accuracy value. From the test results in determining PIP acceptance at SD Negeri Kedungjajang 02 using the C4.5 algorithm, an accuracy of 97.33% was obtained, with the accuracy criteria of good classification.
Co-Authors A. M. Shiddiq Yunus A.A. Ketut Agung Cahyawan W Abd. Wahid Achmad, Muh. Wahyu Aji Suteja Al Ahmadi, Fahad Muhanna Salem Al Khudri Sembiring Al-Turki, Usamah Andiwinata, Fauzi Andriana Sendjaja, Yoga Anton Anton Aonulllah, Asep Akmal Apollo Apollo Aswar, Ahmad Belananda, Maulia Regita Besse Ruhaya, Besse Bin Idris, Nasruddin Buana, Chandra Budhi Santoso Chandra Bhuana Chinta Yolanda Sari Choirul Anam AM Diponegoro Darma, Demmy Adhi Mulya Dian Hari Saputro Eddyono, Fauziah Emi Sukiyah Fauzi, Asnil Fazrian, Fazrian Hafeez, Imran Hafiz, Muhammad Alimul Haider, Safeer Hamdani Hamdani Hardiyanto Hardiyanto Heri Susanto Ian, Muhammad Rezki Ice Irawati Indra Sanjaya Irwan Irwan Isnaini, Nurul Azizatul Israqunnajah, Israqunnajah Jading, Rasmin Nur Jayati, Trisna Jon Hendri Juanda Juanda Jupri Jupri Kafit, M Kamaruddin Kamaruddin Kusuma, Amir Reza Lewi Lewi Limin, Theopilus Listrianti, Feriska Lomba, Christianto M. Fauzan Zenrif Malik, Kamil Mariana Mariana Moni, Elias Muh.Irsyam, Andi Muhammad Helmi Muhammad Yusuf Mulid, Muhammad Syar Munawar, Al Muslikhati, Muslikhati Muslimin B, Muslimin Musrady Mulyadi Nafisah, Thohirotun Nana Sulaksana Nasrullah, Baso Nugroho B Sukamdani Nur Jading, Rasmin NUR LAILA PARISMA, WAN INTAN Permata, Hening Rizky Renitasari, Diana Putri Riza Putra, Emil Rizki, M. Fawaidur Romadhoni Romadhoni, Romadhoni Rusdiana, Ninanesia Ruswandi, Uus Sampetoding, Regiartha Siswandi B Sri Suwasti Suhendi, Saca Sukma Abadi Suleman, Gabriella Augustine Suryatman, Adi Syafaruddin, Baso Tamim, Ahmad Ullah, Rafi Utami, Dyah Ayu Satyari Wahyudiono Wahyudiono Wulandari, Reksahati Yanto, Dwi Yanto, Dwi Yulianti, Ferina Yunarty Yunarty, Yunarty Zaidi, Syed Bilal Ahmed Zulyani, Zulyani