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All Journal International Journal of New Media Technology JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer Networks, Architecture and High Performance Computing KARYA: Jurnal Pengabdian Kepada Masyarakat Pelita Teknologi : Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Pendidikan Dasar Literasi: Jurnal Pengabdian Masyarakat dan Inovasi Innovative: Journal Of Social Science Research Jurnal Lentera Pengabdian Kreativitas Pada Pengabdian Masyarakat (Krepa) Jurnal Pelita Pengabdian Jurnal Pengabdian Sosial Welfare: Jurnal Pengabdian Masyarakat
Edora, Edora
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Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Klasifikasi Tingkat Kepuasan Siswa Sekolah Dasar Pada Pembelajaran Matematika Berbasis Animasi Menggunakan Algoritma Decision Tree Damayanti, Alvina; Soer, Ucok Darmanto; Edora, Edora
Journal of Information System Research (JOSH) Vol 6 No 4 (2025): Juli 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i4.7912

Abstract

Mathematics learning at SDN Sukamanah 01 shows low student participation due to conventional teaching methods that are predominantly one-way and lack student engagement. To address this, this study specifically evaluates the effectiveness of animation media in improving student learning satisfaction. A total of 500 student response data were analyzed using a Decision Tree algorithm to classify student satisfaction levels towards animation-based learning methods. The classification results show that the majority of students gave positive responses, with 45.6% being in the "very satisfied" category. Specifically, 36 students (7.2%) were very dissatisfied, 46 students (9.2%) were dissatisfied, 52 students (10.4%) were neutral, 138 students (27.6%) were satisfied, and 228 students (45.6%) were very satisfied. The applied Decision Tree model achieved a classification accuracy of 81.33%, indicating that student satisfaction patterns can be systematically identified based on observed attributes such as initial interest in mathematics, classroom interaction, and understanding of the material. These findings confirm that integrating animated media into mathematics learning is effective in enhancing students' overall learning experience, especially in terms of engagement, interest, and positive perceptions of the subject.
Pengenalan Media Pembelajaran Interaktif Berbasis Canva Di SDN Mekar Mukti 04 Kurniati, Bulan; Safitri, Inayah; Rosita, Ita; Edora, Edora
Jurnal Pengabdian Sosial Vol. 2 No. 9 (2025): Juli
Publisher : PT. Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/xq273t18

Abstract

Tujuan dari pengabdian ini adalah untuk memperkenalkan media pembelajaran interaktif berbasis Canva kepada guru dan siswa di SDN Mekar Mukti 04. Media pembelajaran berbasis Canva ini dimaksudkan untuk menjadi solusi inovatif dalam pembelajaran karena mudah diakses dan memiliki desain yang menarik. Pengabdian ini dilaksanakan di SDN Mekar Mukti 04 dengan tiga tahapan yaitu : (1) persiapan,  (2) pelaksanaan, dan (3) evaluasi. Hasil pengabdian menunjukkan bahwa Guru memberikan respon positif terhadap kemudahan penggunaan dan efektivitas media ini. Selain itu, mayoritas siswa juga memberikan respons positif terhadap penggunaan media pembelajaran Canva yang tercermin dari peningkatan minat belajar dan pertisipasi aktif dalam kegiatan pembelajaran. Dengan demikian, media pembelajaran berbasis canva dinilai efektif dan menarik untuk digunakan sebagai media pembelajaran yang inovatif di sekolah dasar, terutama dalam menyajikan materi yang bersifat visual.
Revitalisasi Taman Baca Masyarakat (TBM) Gandasari Sebagai Strategi Pengembangan Minat Baca Anak Desa Sukaraya Safitri, Inayah; Edora, Edora; Wibiwirutami, Trias; Nurmalia, Nurmalia
Literasi Jurnal Pengabdian Masyarakat dan Inovasi Vol 5 No 2 (2025)
Publisher : Pengelola Jurnal Politeknik Negeri Ketapang Jl. Rangga Sentap, Dalong Sukaharja, Ketapang 78813. Telp. (0534) 3030686 Kalimantan Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58466/literasi.v5i2.1957

Abstract

The low reading interest of children in Sukaraya Village is a significant problem influenced by limited access to engaging reading materials and a lack of adequate literacy facilities. This community service activity aims to revitalize the Gandasari Community Reading Park (TBM) as a strategy to develop children's reading interest in Sukaraya Village. The program was implemented through three stages: (1) preparation, (2) implementation, and (3) evaluation. The results of the activity showed a significant increase in children's reading interest, reflected in increased visits to the TBM, participation in literacy activities, and the realization of better and more sustainable TBM management. Thus, the revitalization of the Gandasari TBM has proven effective as a strategy to foster a reading culture in Sukaraya Village while simultaneously supporting the improvement of the quality of non-formal education in the community.
Convolutional Neural Network Implementation in BISINDO Alphabet Sign Language Recognition System Kinanti, Aning Aning; Maulana, Donny; Edora, Edora
IJNMT (International Journal of New Media Technology) Vol 11 No 1 (2024): IJNMT (International Journal of New Media Technology)
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ijnmt.v11i1.3629

Abstract

This research develops a system for recognizing finger spelling gestures in Indonesian Sign Language (BISINDO) using Convolutional Neural Network (CNN). The objective of this research is to apply the Convolutional Neural Network (CNN) method to the BISINDO finger spelling gesture recognition system to improve its accuracy. The method employed is Convolutional Neural Network (CNN), an effective method for processing image data for pattern recognition. Based on the test results, the system demonstrates that the developed CNN model is capable of recognizing BISINDO finger spelling gestures with an accuracy of 97.5%. This indicates that the BISINDO finger spelling gesture recognition system performs well in pattern recognition. The implementation of the system for real-time prediction via a web interface using Flask also enhances its accessibility. However, there is still room for improvement, particularly in recognizing one of the 26 letters that has not been predicted accurately. For further development, it is recommended to consider collecting a larger dataset and incorporating more complex gesture variations to improve recognition accuracy.
Implementasi Algoritma K-Means Clustering Menggunakan Orange Untuk Mengelompokan Penjualan Smartphone (Studi Kasus Konter Mutiara Cell) Ardiansyah, Fitrah Rizki; Firmansyah, Andri; Edora, Edora
Innovative: Journal Of Social Science Research Vol. 4 No. 6 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i6.16415

Abstract

Perkembangan teknologi khususnya komunikasi adalah hal yang sangat penting bagi seluruh masyarakat. Hal ini berpengaruh pada meningkatnya berbagai macam jenis alat komunikasi seperti handphone atau smartphone seperti pada Toko Mutiara Cell. Pada hari-hari tertentu seperti hari besar biasanya Toko Mutiara Cell mendapatkan permintaan penjualan smartphone yang cukup tinggi dengan berbagai tipe/merek namun pemilik toko sering kali mengalami kesulitan untuk menentukan produk laris banyak diminati oleh berbagai masyarakat. Oleh karena itu guna mengoptimalkan persediaan barang, menghemat waktu serta dapat berguna untuk meningkatkan promosi penjualan maka salah satu teknik yang dapat digunakan untuk mengelompokan penjualan smartphone di toko mutiara cell adalah menggunakan Algoritma K-Means Clustering dengan pengujian Orange. Pengelompokan pada penelitian ini menghasilkan 3 cluster yaitu cluster harga terendah (C1) smartphone dengan merek Xiaomi, cluster harga tertinggi (C2) smartphone dengan merek OPPO, dan cluster harga menengah (C3) smartphone dengan merek Samsung.
Sistem Pendukung Keputusan Calon Penerima Program Bantuan Sosial (BANSOS) Menggunakan Metode Simple Additive Weighting (SAW) : Decision Support System for Prospective Social Assistance Program Recipients (BANSOS) Using the Simple Additive Weighting (SAW) Method Suprapto, Suprapto; Edora, Edora; Pasaribu, Firentus Agustone
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 4 No. 1 (2024): MALCOM January 2024
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v4i1.1057

Abstract

Bantuan sosial merupakan salah satu upaya pemerintah,komunitas atau individu dalam penanggulangan kemiskinan yang bertujuan untuk memenuhi kebutuhan masyarakat yang memiliki kelayakan ekonomi rendah dan meningkatkan taraf hidup masyarakat dengan bantuan sosial. Proses identifikasi penerima program bantuan sosial diKp kaceot peduli2 Kerawang barat relatif memakan waktu dan kurang optimal, karena merupakan proses manual mengisi dan memilih satu per satu menggunakan formulir kertas. Saat kertas menumpuk, data menjadi lebih rentan terhadap kerusakan dan kehilangan. Untuk mengatasi permasalahan tersebut, diperlukan suatu sistem yang dapat mempermudah proses pemilihan penerima program bantuan sosial di Kp kaceot peduli2 Kerawang barat. Dalam hal ini merupakan sistem pendukung keputusan yang didukung dengan metode Simple Additive Weighting (SAW). Sistem pendukung keputusan ini dikembangkan sesuai dengan metode Waterfall dengan menggunakan bahasa pemrograman PHP (PHP: Hypertext Preprocessor), Framework Code Igniter 3, dan database MySQL sebagai database server. Hasil perhitungan berdasarkan metode SAW merekomendasikan nama-nama penerima program bansos sesuai urutan prioritas. Selain itu, berdasarkan hasil pengujian black box, sistem ini akan berjalan sesuai dengan kemampuannya.
Pelatihan Peningkatan Kemampuan Guru SMP IT Insan Kamil Cikarang Dalam Melakukan Evaluasi Pembelajaran Menggunakan Computer Base Test (CBT) Miharja, Muhammad Najamuddin Dwi; Edora, Edora; hadikristanto, Wahyu; Andika, Sophian; Herol, Herol
Welfare : Jurnal Pengabdian Masyarakat Vol. 1 No. 2 (2023): Welfare : June 2023
Publisher : Fakultas Ekonomi dan Bisnis Islam, IAIN Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30762/welfare.v1i2.506

Abstract

This community service program aims to improve the ability of IT Insan Kamil Cikarang Middle School teachers in conducting learning evaluations using the Computer-Based Test (CBT). Teachers will be given training and an introduction to CBT and given practice to create questions and enter them into the CBT platform. The training method used is a competency-based training approach using demonstration methods and hands-on practice in learning. The results of this training indicate an increase in teacher competency in designing, developing, and implementing information technology-based learning evaluations. It is hoped that this program can increase effectiveness and efficiency in learning evaluation, as well as increase student motivation in learning. Challenges that need to be overcome include the lack of understanding and use of technology by teachers and students, and the need for the right approach in implementing CBT. This program is expected to provide greater benefits for teachers and students.
Revitalisasi Taman Baca Masyarakat (TBM) Gandasari Sebagai Strategi Pengembangan Minat Baca Anak Desa Sukaraya Safitri, Inayah; Edora, Edora; Wibiwirutami, Trias; Nurmalia, Nurmalia
Literasi Jurnal Pengabdian Masyarakat dan Inovasi Vol 5 No 2 (2025)
Publisher : Pengelola Jurnal Politeknik Negeri Ketapang Jl. Rangga Sentap, Dalong Sukaharja, Ketapang 78813. Telp. (0534) 3030686 Kalimantan Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58466/literasi.v5i2.1957

Abstract

The low reading interest of children in Sukaraya Village is a significant problem influenced by limited access to engaging reading materials and a lack of adequate literacy facilities. This community service activity aims to revitalize the Gandasari Community Reading Park (TBM) as a strategy to develop children's reading interest in Sukaraya Village. The program was implemented through three stages: (1) preparation, (2) implementation, and (3) evaluation. The results of the activity showed a significant increase in children's reading interest, reflected in increased visits to the TBM, participation in literacy activities, and the realization of better and more sustainable TBM management. Thus, the revitalization of the Gandasari TBM has proven effective as a strategy to foster a reading culture in Sukaraya Village while simultaneously supporting the improvement of the quality of non-formal education in the community.
Co-Authors Adi Rusdi Widya Adrianna Syariefur Rakhmat Akbar, Dimas Andika, Sophian Andri Firmansyah Ardiansyah, Fitrah Rizki Aswan Supriyadi Sunge Barokah, Awalina Damayanti, Alvina Darmawani, Heru Darmawani Dendy K. Pramudito Fahamsyah, Mohammad Hatta Herol, Herol Hidayat, Ade Nurul Hidayat Ira Restu Kurnia Kinanti, Aning Aning Kurniati, Bulan Maulana, Donny Miharja, Muhammad Najamuddin Dwi Muhamad Ekhsan Muhammad, Najamuddin Dwi Miharja Muhtajuddin Danny Nilam Desy Hartati Nuraini, Roswanda Nurmalia, Nurmalia Pasaribu, Firentus Agustone Pramudito, Dendy K. Prasetyo, Sutrisno Aji Priana, Firzi Cahya Prianita, Naza Sefti Putra, Aan Fadillah Rosita, Ita Safitri, Inayah Sasongko, Ananto Sely Oktaviani Putri Soer, Ucok Darmanto Suprapto Suprapto Suwandi Suwandi Syafitri, Inayah Wahyu Hadikristanto Wibiwirutami, Trias Zy, Ahmad Turmudi