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All Journal Jurnal Ilmu Sosial dan Ilmu Politik JURNAL EKONOMI Respati Jurnal Teknologi dan Bisnis Decode: Jurnal Pendidikan Teknologi Informasi Journal of Artificial Intelligence and Digital Business Jurnal Multidisiplin Pengabdian Masyarakat (JMPM) Jurnal Ilmiah Nusantara
Dede Yusuf, Dede
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Immunology & microbiology Languange, Linguistic, Communication & Media Library & Information Science Medicine & Pharmacology Physics Public Health Social Sciences Other

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Sosialisasi Literasi Digital dan Analisis Data Psikologis Siswa SMK Menggunakan Metode Naive Bayes Berbasis Website Yusuf, Dede; Mayji Danardono; Dinar Danan Sukmawati; Tri Stiyo Famuji; Raden Bagus Bambang Sumantri; Walidy Rahman Hakim
Jurnal Arba - Multidisiplin Pengabdian Masyarakat Vol. 3 No. 1 (2026): Februari
Publisher : Jurnal Arba - Multidisiplin Pengabdian Masyarakat

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Abstract

Advances in information technology require vocational school students to possess strong digital literacy skills and be aware of their psychological well-being. This community service activity was conducted at SMK Muhammadiyah Karangpucung as part of the TMMD program, a collaboration between Al-Irsyad University Cilacap (UNAIC) and the Indonesian National Armed Forces (TNI). This program aims to improve digital literacy understanding and introduce the use of website-based psychological analysis technology with the Naive Bayes algorithm. This algorithm functions to process student psychological assessment data and classify them into interest and talent categories based on the highest probability, so that the results obtained are more measurable and objective. Based on the pretest evaluation, only 30% of students correctly understood their interests and talents based on self-assessment. After participating in digital literacy socialization and training on the use of the Naive Bayes-based psychological analysis system, posttest scores increased to 90% of students who had identified their interests and talents based on the recommendations of the system analysis results. This indicates a significant increase in students' understanding of scientific interest and talent mapping assisted by digital technology. This activity serves as a concrete example of synergy between universities, defense institutions, and vocational schools in building an educational ecosystem that is adaptive to technology and supports ongoing monitoring of students' psychological well-being.
ANALISIS ISLAMIC BRANDING DAN DIGITAL MARKETING TERHADAP MINAT PEMBELIAN PRODUK AYAM PENYET SURABAYA CABANG CILACAP Nur Triwibowo, Rony; Yusuf, Dede; Irawansah, Opi; Cahyani, Venna; Naim, Sinta
JURNAL EKONOMI Vol. 14 No. 1 (2024): Jurnal Ekonomi Februari 2024
Publisher : JURNAL EKONOMI

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Abstract

The restaurant industry is becoming more and more competitive, so entrepreneurs must develop relevant and innovative marketing plans that may be used as weapons in the marketplace. Islamic branding, which involves using an Islamic identity (including Islamic writing, Sharia, Islamic names, and halal labels) in product marketing, is one tactic that can be used. Digital marketing and Islamic branding are two marketing techniques used to sway consumers' interest in making purchases. The purpose of this study is to examine how interest in buying items from the Cilacap branch of Ayam Penyet Surabaya is influenced by Islamic branding and digital marketing.
Sistem Analisis Kemiskinan Berbasis Website dengan Model Knn untuk Kelayakan Penerimaan PKH di Kabupaten Cilacap Dede Yusuf; Tri Stiyo Famuji; Imam Agus Faizal; Setiawan Ardi Wijaya
Decode: Jurnal Pendidikan Teknologi Informasi Vol. 5 No. 3: NOVEMBER 2025
Publisher : Program Studi Pendidikan Teknologi Infromasi UMK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51454/decode.v5i3.1477

Abstract

Kemiskinan menjadi permasalahan strategis di Kabupaten Cilacap dengan angka mencapai 12,43% pada tahun 2023. Penelitian ini bertujuan mengembangkan Sistem SIPANDU Cilacap (Sistem Prediksi dan Analisis Data untuk Subsidi) berbasis website untuk mendukung penentuan kelayakan penerima Program Keluarga Harapan (PKH). Metode penelitian menggunakan pendekatan Research and Development (R&D) dengan desain mixed-methods. Pengumpulan data dilakukan melalui studi dokumentasi, kuesioner terstruktur, dan wawancara terhadap 350 kepala keluarga di lima kecamatan prioritas. Sistem dikembangkan menggunakan arsitektur three-tier dengan teknologi PHP, MySQL, dan Bootstrap 5. Hasil penelitian menghasilkan sistem berbasis website yang terintegrasi dengan empat fitur utama: Pemetaan Wilayah untuk visualisasi sebaran kemiskinan, Cek Status PKH untuk input data calon penerima, Berita untuk informasi program, dan Tentang SIPANDU untuk profil sistem. Sistem ini dirancang untuk menghasilkan data terstruktur sesuai format yang diperlukan implementasi algoritma K-Nearest Neighbor dalam analisis kelayakan. Hasil validasi model KNN menunjukkan akurasi sebesar 83,33% dengan nilai K optimal = 5 berdasarkan evaluasi menggunakan 5-fold cross validation. Implementasi sistem menunjukkan kemampuan dalam konsolidasi data sosio-demografi yang komprehensif meliputi 21 variabel prediktor. Pengujian sistem mencakup User Acceptance Test (UAT) dengan stakeholder Dinas Sosial Kabupaten Cilacap yang menunjukkan tingkat kepuasan 92% pada aspek usability dan functionality. Hasil pengujian blackbox terhadap seluruh modul sistem menunjukkan tingkat keberhasilan 100%, membuktikan keandalan sistem untuk diimplementasikan. SIPANDU Cilacap diharapkan dapat menjadi solusi teknologi untuk meningkatkan akurasi, transparansi, dan akuntabilitas dalam penyaluran bantuan sosial PKH, sekaligus mendukung evidence-based policy dalam perumusan kebijakan penanggulangan kemiskinan di tingkat daerah.
Co-Authors Asa Ria Pranoto, Asa Ria Cahyani, Venna Danardono, Mayji Dinar Danan Sukmawati Ferdian, Ferry M. Hakim, Walidy Rahman Imam Agus Faizal INDRA RACHMAWATI Islamiati, Desma Mayji Danardono Mubarak, Zulfikar Yusya Naim, Sinta Nuni Wulansari Nur Triwibowo, Rony Nuraeni, Febi Putri Nurwibowo, Fajar Opi Irawansah, Opi Raden Bagus Bambang Sumantri ratih ratih Setiawan Ardi Wijaya Setiawan, Willy Somaida, Mochammad Hasymi Sukirman Sukma, Ajeng Diana Tajudin, Tatang TRI KUSUMA WARDANI Tri Stiyo Famuji Tri Yuwono, Tri Triwibowo, Rony Nur Walidy Rahman Hakim Wulansari, Nuni Zahra, Azka Fathimah Az Zulfikar Yusya Mubarak