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All Journal Instal : Jurnal Komputer Jurnal Minfo Polgan (JMP)
Harahap, Abdul Chaidir
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Computer Science & IT Decision Sciences, Operations Research & Management Library & Information Science Mathematics Social Sciences

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Sosialisasi dan Penerapan Sistem Informasi untuk Peningkatan Pariwisata Pantai Sialang Buah di Kabupaten Serdang Bedagai Sukrianto, Sukrianto; Sarif, Muhammad Irfan; Harahap, Abdul Chaidir; Helmy, Ahmad
Jurnal Minfo Polgan Vol. 14 No. 2 (2025): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v14i2.15740

Abstract

Pengembangan pariwisata berbasis teknologi informasi menjadi salah satu strategi penting dalam meningkatkan daya saing destinasi wisata daerah. Pantai Sialang Buah di Kabupaten Serdang Bedagai memiliki potensi wisata alam yang besar, namun belum didukung oleh sistem informasi yang terintegrasi untuk promosi, pengelolaan data, dan pelayanan informasi kepada wisatawan. Kegiatan ini bertujuan untuk melakukan sosialisasi dan penerapan sistem informasi pariwisata sebagai upaya peningkatan visibilitas, efisiensi pengelolaan, serta daya tarik Pantai Sialang Buah. Metode pelaksanaan meliputi analisis kebutuhan mitra, perancangan sistem informasi berbasis web, sosialisasi penggunaan sistem kepada pengelola dan pelaku UMKM setempat, serta pendampingan dalam proses implementasi. Sistem informasi yang diterapkan mencakup fitur profil destinasi, informasi fasilitas, agenda wisata, galeri, dan kontak layanan. Hasil kegiatan menunjukkan adanya peningkatan pemahaman pengelola terhadap pemanfaatan teknologi informasi serta kemudahan dalam penyampaian informasi kepada masyarakat dan wisatawan. Selain itu, sistem informasi yang diterapkan mampu menjadi media promosi digital yang efektif dan berkelanjutan. Kegiatan ini diharapkan dapat mendukung pengembangan pariwisata lokal, meningkatkan kunjungan wisatawan, serta mendorong pertumbuhan ekonomi masyarakat sekitar Pantai Sialang Buah.
Classification of Medical Students' Skills Using the Random Forest Method Based on Practicum and Theory Scores Harahap, Abdul Chaidir; Muhammad Irfan Syarif
Bahasa Indonesia Vol 18 No 01 (2026): Instal : Jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalinstall.v18i01.488

Abstract

This study classifies the skill levels of medical students based on their practical and theoretical scores using the Random Forest method. The data consist of secondary data obtained from the Faculty of Medicine, Universitas Muhammadiyah Sumatera Utara, co vering students from the Medical Education Study Program across three cohorts (2021, 2022, and 2023) in the block “Basic Organ System of Special Sense, Reproduction and Urinary Tract.” The dataset includes 1,074 students with five assessment features: block exam score (UAB), practical score (average of Histology, Anatomy, Physiology, and Biochemistry), tutorial score, SGD attitude score, and PIM attitude score. The Random Forest method is used to classify students into “Good” (final score ≥ 75) and “Poor” (final score < 75) skill categories. The results indicate that the model achieves an accuracy of 93.33%, with precision values of 94.12% for the “Good” category and 90.00% for the “Poor” category, as well as recall values of 97.56% and 78.26%, respectively. The most influential features are the block exam score (0.378), practical score (0.295), and tutorial score (0.192). The study also generates 11 expert-validated classification rules (average score 4.69/5.00) that can support early identification of students with lower skill levels. The Random Forest model demonstrates effectiveness and consistency, achieving accuracy above 92% across all cohorts, and supports the development of a machine learning–based evaluation system for medical students at Universitas Muhammadiyah Sumatera Utara.
Co-Authors Helmy, Ahmad Muhammad Irfan Syarif Sarif, Muhammad Irfan Sukrianto, Sukrianto