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All Journal Network Engineering Research Operation [NERO] KOPERTIP: Jurnal Ilmiah Manajemen Informatika dan Komputer JURIKOM (Jurnal Riset Komputer) Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Sains Teknologi Transportasi Maritim JOINT (Journal of Information Technology Jurnal Accounting Information System (AIMS) Eduprof
Tuti Hartati
STMIK IKMI Cirebon
Religion Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Transportation Other

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Klasifikasi Algoritma KNN dalam menentukan Penerima Bantuan Langsung Tunai Ryan Hamonangan; Risa Komala Sari; Saeful Anwar; Tuti Hartati
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 6, No 1 (2024): Maret
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v6i1.10298

Abstract

Poverty is a condition where an individual or a group experiences economic incapacity to meet their basic needs, and this study involves broader aspects than just expenditures. The focus of this research is on Ciherang and Ciaro Villages, located in the Nagreg Subdistrict, Bandung Regency, which are areas with significant levels of poverty. This research responds to poverty issues by utilizing the K-Nearest Neighbor (KNN) Algorithm in the data mining classification process. KNN considers the proximity of a new object to its nearest neighbors, and as a supervised learning algorithm, KNN requires target information or classes in the analyzed dataset. The aim of this research is to provide information regarding the classification of recipients of Direct Cash Assistance (BLT) in Ciherang and Ciaro Villages. The research results present data on criteria for determining whether recipients are considered eligible or ineligible for BLT, with an accuracy rate reaching 81.56%. Additionally, the performance of this algorithm is demonstrated through true recall values for both eligible and ineligible recipients, with recall for true ineligible recipients at 88.43%, recall for true eligible recipients at 74.80%, precision for eligible recipients at 86.79%, and precision for ineligible recipients at 77.54%. These findings provide a basis for more accurate decision-making in determining BLT recipients in both villages. This can contribute to the design of more targeted and effective social policies in reducing the impact of poverty, providing in-depth insights into the characteristics of BLT recipients, and demonstrating the relevance and efficiency of the KNN algorithm in addressing complex social issues.
Sistem Pembelajaran E-learning Menggunakan Metode ADDIE di SDIT Kabupaten Cirebon: Sistem Pembelajaran Tika Agustiyani; Tuti Hartati; Dita Amalia
Eduprof : Islamic Education Journal Vol. 4 No. 1 (2022): Eduprof : Islamic Education Journal
Publisher : Program Pascasarjana, Universitas Islam Bunga Bangsa Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47453/eduprof.v4i1.117

Abstract

Education is something that cannot be separated in human life and has become a primary need besides clothing and food. Students tend to prefer to play rather than study and because the teacher teaches students are only glued to the module so they get bored quickly and are less active which results in a lack of student interest in learning. Currently, various concepts have been offered to support the development of the world of education, one of which is smartphone users as a medium for delivering learning. To improve these services, an e-learning course has been developed for elementary school children using the ADDIE method. This study uses the ADDIE (Analysis, Design, Development, Implementation, Evaluation) method for learning media because this method is a simple learning system design model and is very easy to learn. With this, e-learning in the form of applications using the ADDIE method of this research can bridge the relationship between students and teachers even without face-to-face contact. With this application not only play but also learn. Through this service, students can continue to receive subject matter and complete tests and assignments given by teachers at school. With this application, students will not miss the teaching material delivered by the teacher. ABSTRAK Pendidikan merupakan hal yang tidak dapat dipisahkan dalam kehidupan manusia dan sudah menjadi kebutuhan primer selain sandang dan pangan. Siswa cenderung lebih suka bermain dari pada belajar dan karena guru mengajarkan siswa hanya terpaku pada modul sehingga cepat bosen dan kurang aktif yang mengakibatkan kurangnya minat siswa untuk belajar. Saat ini, berbagai konsep telah ditawarkan untuk mendukung perkembangan dunia pendidikan, salah satunya adalah pengguna smartphone sebagai media bantu untuk penyampaian pembelajaran. Untuk meningkatkan layanan tersebut, telah dikembangkan sebuah pembelajaran e-learning untuk anak – anak Sekolah Dasar menggunakan metode ADDIE. Penelitian ini menggunakan metode ADDIE (Analysis, Design, Development, Implementation, Evaluation) untuk media pembelajaran karena metode ini merupakan model desain system pembelajaran yang sederhana dan sangat mudah di pelajari. Dengan adanya, pembelajaran e-learning berupa aplikasi dengan metode ADDIE penelitian ini dapat menjembatani hubungan antara siswa dan guru walau tanpa kontak bertatap muka langsung. Dengan aplikasi ini bukan hanya bermain tetapi juga belajar. Melalui layanan ini, siswa dapat tetap menerima materi pelajaran dan menyelesaikan tes dan tugas yang diberikan guru disekolah. Dengan aplikasi ini, siswa tidak akan ketinggalan materi ajar yang disampaikan oleh guru.
Co-Authors Abdul Aziz Adi Hermawan Afif Maulana Sidik Alfi Nurfajiah Basysyar, Fadhil Muhammad Dilla Eka Lusiana Dita Amalia Dita Rizki Amalia Dita Rizki Amalia Dwi Teguh Afandi Edi Tohidi Edi Wahyudin Eko Wiyandi Gifthera Dwilestari Kaslani Martanto . Nining Rahaningsih Nur Atikah Odi Nurdiawan Rachmat Trikar Sohadi Revita Lestari Faujiah Risa Komala Sari Riyan, Ade Bani Rubangiya Rubangiya Ryan Hamonangan Saeful Anwar Sri Suwartini Tika Agustiyani Wahyudin Tajmi Yudhistira Arie Wijaya