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All Journal Jurnal Ilmu Komputer dan Informasi Jupiter Jurnal Buana Informatika Jurnal Informatika dan Teknik Elektro Terapan Register: Jurnal Ilmiah Teknologi Sistem Informasi SemanTIK : Teknik Informasi Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal Informatika dan Rekayasa Perangkat Lunak Community Development Journal: Jurnal Pengabdian Masyarakat Community Empowerment Jurnal Sains Teknologi dan Sistem Informasi Jurnal Media Informasi Teknologi Journal of Information Systems and Technology (JISTech) Mekongga: Jurnal Pengabdian Masyarakat TENANG : Teknologi, Edukasi, dan Pengabdian Multidisiplin Nusantara Gemilang Media of Computer Science JROCK (Journal Research on Computing Knowledge) Timuris : Journal of Computational and Information Research
Yuwanda Purnamasari Pasrun
Universitas Sembilanbelas November Kolaka
Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Public Health Social Sciences Other

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Pelatihan Dasar Pemrograman Python sebagai Upaya Penguatan Keterampilan Digital Siswa SMK Negeri 10 Kolaka Noorhasanah Zainuddin; Yuwanda Purnamasari Pasrun; Mutmainnah Muchtar; Nurfitria Ningsi; Johar Nur Iin
TENANG : Teknologi, Edukasi, dan Pengabdian Multidisiplin Nusantara Gemilang Vol. 3 No. 1 (2026): Juni
Publisher : Perhimpunan Ahli Teknologi Informasi dan Komunikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71234/tenang.v3i1.122

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk memperkuat keterampilan digital siswa SMK Negeri 10 Kolaka melalui pelatihan dasar pemrograman Python. Pelatihan dilaksanakan sebagai upaya meningkatkan literasi teknologi, kemampuan berpikir logis, serta kompetensi dasar pemrograman yang relevan dengan kebutuhan dunia pendidikan dan dunia kerja di era digital. Sasaran kegiatan adalah siswa kelas X dan XI jurusan Teknik Komputer dan Jaringan (TKJ). Metode pelaksanaan meliputi koordinasi dengan pihak sekolah, identifikasi kebutuhan peserta, instalasi perangkat lunak pendukung, pelaksanaan pretest, penyampaian materi, praktik pemrograman Python, serta evaluasi melalui post-test. Hasil kegiatan menunjukkan bahwa pelatihan berjalan dengan baik dan mendapat antusiasme tinggi dari peserta. Nilai rata-rata pretest sebesar 61,8 meningkat menjadi 72,8 pada post-test, yang menunjukkan adanya peningkatan pemahaman peserta terhadap konsep dasar pemrograman Python. Selain itu, siswa menunjukkan peningkatan minat dan kepercayaan diri dalam mempelajari teknologi informasi. Dengan demikian, pelatihan dasar pemrograman Python terbukti efektif sebagai upaya penguatan keterampilan digital siswa serta mendukung kesiapan mereka dalam menghadapi perkembangan teknologi dan tuntutan dunia kerja di masa depan.
Classifying Family Economic Status Using the K-Nearest Neighbor Algorithm in Popalia Village Istrikah Istrikah; Rabiah Adawiyah; Yuwanda Purnamasari Pasrun
Timuris: Journal of Computational and Information Research Vol. 1 No. 1 (2026): Timuris: Journal of Computational and Information Research
Publisher : Kiswah Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Access to accurate family economic data is essential for the equitable distribution of village social assistance. At the Popalia Village Office, Tanggetada Sub-district, Kolaka Regency, identification of eligible recipients previously relied on manual, page-by-page verification of Statistics Indonesia (BPS) census documents, a process that was slow and often produced recipients that did not match the intended criteria. This study develops a web-based classification system using the K-Nearest Neighbor (KNN) algorithm to categorize 160 household heads into “Mampu” (financially capable) and “Tidak Mampu” (financially incapable) classes based on twelve socio-economic criteria, including occupation, monthly income, education, number of dependents, and asset ownership. The system was built following the Waterfall development model using PHP and MySQL with a use-case-driven UML design. Model performance was evaluated using Euclidean-distance-based KNN with 10-fold cross validation and confusion matrix analysis. The system achieved an average classification accuracy of 99.38% (minimum 93.75%, maximum 100%), a precision of 98.21%, a recall of 100%, and an F1-score of 99.10%. Black-box testing further confirmed that all functional modules operated as intended. These findings indicate that KNN is an accurate and practical method for supporting village-level social assistance targeting.
Co-Authors Abdul Malik Aisyah, Wa Ode Nur Aliniy Aliniy Amaliya Nurani Basyarah Andi Tenri Sumpala, Andi Tenri Anjar Pradipta Ariani, Irma Aulya, Novi Chastine Fatichah Djafar Djafar Fathur Rahman Rustan Finni Alvionita Haryati Haryati Hasidu, La Ode Abdul Fajar Ilayani, Ilayani Indar Ismail Jamaluddin Istrikah Istrikah Jayanti Yusmah Sari Jayawarsa, A.A. Ketut Jimsan Jimsan Johar Nur Iin Jumadil Nangi La Ode Hasnuddin S. Sagala Mardiawati Mardiawati Mardiawati, Mardiawati Maulana, Sahrul Miftachurohmah, Nisa Muh Iskandar Z. A Muh Nurtanzis Sutoyo Muh. Ihsan Sarita Muh. Nurtanzis Sutoyo Muhammad Syaiful Muliyadi Muliyadi Mutmainnah Muchtar Nanik Suciati Nasarudin, Nasarudin Natalis Ransi Nirsal Nisa Miftachurohmah Noorhasanah Zainuddin Noorhasanah Zainuddin Novarida, Eka Nur Fajriah Muchlis Nur Fajriah Muchlis, Nur Fajriah Nurfitria Ningsi Phradiansah ., Phradiansah Rabiah Adawiyah Rabiah Adawiyah, Rabiah Rahmat Karim Rasmiati Rasyid Rina Sardiana Sari Riska Risnawati Rizal Adi Saputra Sajiah, Adha Mashur Sarimuddin, Sarimuddin Sudarman, La Suharsono Bantun Sutardi Sutardi Yuandi, Intan Anuggrah