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All Journal Biner : Jurnal Ilmu Komputer, Teknik dan Multimedia JRIIN :Jurnal Riset Informatika dan Inovasi APPA : Jurnal Pengabdian Kepada Masyarakat
Lisda Pebriyanti
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Medicine & Pharmacology Transportation

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Deteksi Tepi pada Gambar Buah-buahan dengan Operator Canny Muhammad Nazir; Ramadani; Mahesa Birawa; Lisda Pebriyanti; Perani Rosyani
Jurnal Riset Informatika dan Inovasi Vol 1 No 12 (2024): JRIIN : Jurnal Riset Informatika
Publisher : shofanah Media Berkah

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Penelitian ini mengkaji penerapan algoritma Canny untuk deteksi tepi pada gambar buah-buahan. Menggunakan bahasa pemrograman Python dan library OpenCV, studi ini mendemonstrasikan proses pengolahan citra digital dari konversi grayscale, penerapan Gaussian Blur, hingga deteksi tepi dengan metode Canny. Hasil menunjukkan bahwa algoritma Canny efektif dalam mengidentifikasi kontur dan bentuk buah dengan akurasi tinggi. Visualisasi setiap tahap pemrosesan menggunakan Matplotlib memungkinkan analisis komparatif yang komprehensif. Penelitian ini memberikan landasan untuk pengembangan lebih lanjut dalam sistem sortasi buah otomatis dan aplikasi pengenalan jenis buah berbasis computer vision.
PEMANFAATAN MICROSOFT OFFICE (MAIL MERGE) DALAM ORGANISASI SEKOLAH Herlan Firdaus; Anwar Hidayatulloh; Hendriyawan; Faisal Ade Putra; Lisda Pebriyanti; Dandy Ramadhan; Claudien Ezra Yosaputri; Ichwandri; Moh Riefqy Abbas
APPA : Jurnal Pengabdian Kepada Masyarakat Vol 1 No 4 (2023): APPA : Jurnal Pengabdian kepada Masyarakat
Publisher : Shofanah Media Berkah

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Program pelatihan Microsoft Office Mail Merge bertujuan untuk meningkatkan keterampilan komunikasi dan efisiensi di SMA PGRI 56 Ciputat melalui partisipasi 20 anggota OSIS. Program ini berhasil meningkatkan keterampilan peserta dan membuka peluang untuk meningkatkan penyampaian informasi dan pengelolaan dokumen di lingkungan pendidikan. Diskusi tersebut memberikan dampak positif dan diambil langkah lebih lanjut untuk terus meningkatkan keterampilan peserta dalam Microsoft Office Mail Merge. Program ini merupakan contoh integrasi pendidikan yang efektif dan memberikan manfaat nyata kepada komunitas sekolah
Sistem Pendukung Keputusan untuk Menentukan Kelayakan Siswa Penerima Bantuan Pendidikan dengan Metode SMART Berbasis Website Lisda Pebriyanti; Ahmad Fauzi
BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia Vol. 4 No. 1 (2026): BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia
Publisher : CV. Shofanah Media Berkah

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Determining the eligibility of students to receive educational assistance is an essential process that requires accurate, objective, and systematic evaluation. At SD Negeri Tipar, the selection process is still conducted manually through conventional assessment and administrative checking, which often leads to inefficiency, data inconsistencies, and difficulties in determining fair and accountable decisions. To address these challenges, a web-based Decision Support System was developed using the Simple Multi-Attribute Rating Technique (SMART) method. This system evaluates students based on several social-related criteria, including parental income, parental occupation, number of dependents, housing ownership, and access to educational facilities. Each criterion is weighted according to its level of importance, and the final eligibility score is computed automatically using the SMART calculation stage. The results of system implementation show that the application can accurately generate ranking recommendations for student eligibility and provide structured reports to support transparent decision-making. This system enhances the effectiveness, accuracy, and fairness of the aid distribution process while helping schools ensure that assistance is allocated to student who need it most.
Co-Authors Ahmad Fauzi Anwar Hidayatulloh Claudien Ezra Yosaputri Dandy Ramadhan Faisal Ade Putra Herlan Firdaus Ichwandri Mahesa Birawa Moh Riefqy Abbas Muhammad Nazir Perani Rosyani Ramadani Yawan, Hendri