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All Journal Jusikom : Jurnal Sistem Komputer Musirawas Zonasi: Jurnal Sistem Informasi INFORMATIKA JRIIN :Jurnal Riset Informatika dan Inovasi
Andika Veriando Saragih
Universitas Negeri Medan
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Environmental Science Languange, Linguistic, Communication & Media Mechanical Engineering

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Desain dan Implementasi Algoritma Decision Tree untuk Klasifikasi Kategori Obesitas Yusrida Jelianti Sihite; Andika Veriando Saragih; Jatmiko Althaf Aziz
Jurnal Riset Informatika dan Inovasi Vol 3 No 12 (2026): JRIIN : Jurnal Riset Informatika dan Inovasi (INPRESS)
Publisher : shofanah Media Berkah

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

Abstract

Perkembangan teknologi machine learning memungkinkan pengklasifikasian data kesehatan secara cepat dan akurat. Penelitian ini bertujuan menerapkan algoritma Decision Tree untuk klasifikasi kategori obesitas berdasarkan variabel tinggi badan, berat badan, dan Indeks Massa Tubuh (BMI). Dataset terdiri dari 200 sampel individu yang telah dibersihkan dan diberi label kategori obesitas: Underweight, Normal weight, Overweight, dan Obese. Model Decision Tree dioptimasi dengan pembatasan kedalaman (max_depth=5) untuk mengurangi overfitting dan meningkatkan kemampuan generalisasi. Evaluasi menggunakan data testing menghasilkan akurasi 99,5%, sementara rata-rata cross-validation 5-fold mencapai 0,995. Analisis feature importance menunjukkan bahwa BMI merupakan variabel dominan dalam klasifikasi, sedangkan tinggi badan dan berat badan tidak memberikan kontribusi tambahan. Visualisasi pohon keputusan memperlihatkan jalur klasifikasi yang jelas dan mudah diinterpretasikan, mendukung implementasi model sebagai Decision Support System (DSS) untuk identifikasi awal risiko obesitas. Penelitian ini menegaskan efektivitas Decision Tree dalam klasifikasi kategori obesitas dan konsistensinya dengan literatur sebelumnya, sekaligus memberikan dasar untuk pengembangan model yang lebih kompleks dengan menambahkan fitur pola makan, aktivitas fisik, atau algoritma ensemble.
Platform Web Promosi Bisnis Mahasiswa Terintegrasi Firebase dan WhatsApp YUSRIDA JELIANTI SIHITE SIHITE; Jatmiko Althaf Aziz; Andika Veriando Saragih; Debi Yandra Niska
Jusikom : Jurnal Sistem Komputer Musirawas Vol. 11 No. 1 (2026): Jurnal Sistem Komputer Musirawas JUNI
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jusikom.v11i1.3146

Abstract

This study was motivated by the challenges of student business promotion, which is still primarily conducted through social media and WhatsApp groups, making business information difficult to access and poorly organized. This study aims to develop a web-based student business promotion platform integrated with WhatsApp and a popularity-based recommendation system to help users discover the most preferred businesses. The research methods included observation, interviews, and literature review to analyze system requirements, while the system development adopted the Waterfall method consisting of analysis, design, implementation, and testing phases. The system was developed using Node.js, Firebase Realtime Database, and Bootstrap. The main features include user registration, business data management, business search, WhatsApp integration, and a popularity-based recommendation system utilizing user interaction data. The integration of Firebase and WhatsApp enables responsive and real-time data management and communication. System testing was conducted using Black Box Testing and usability testing involving 50 students from Universitas Negeri Medan. The results showed a 100% success rate for all main features, while usability testing achieved an average score of 4.17, categorized as high. The findings indicate that the system effectively supports structured student business promotion, simplifies business information access, and improves communication effectiveness between users and business owners.
ANALISIS KOMPARATIF MODEL SIR NON-LINIER DBD DI SIMALUNGUN DAN DAIRI Jhon Gabriel Simarmata; Zulfahmi Indra; Andika Veriando Saragih
Informatika: Jurnal Teknik Informatika dan Multimedia Vol. 6 No. 2 (2026): Oktober : JURNAL TEKNIK INFORMATIKA DAN MULTIMEDIA
Publisher : LPPM Politeknik Pratama Kendal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/informatika.v6i2.1977

Abstract

Dengue Hemorrhagic Fever (DHF) exhibits different transmission dynamics across regions. This study aims to comparatively analyze the simulated spread of DHF in Simalungun Regency and Dairi Regency using a nonlinear Susceptible-Infected-Recovered (SIR) model. Dengue incidence-rate data from 2024 were used to determine the initial conditions on a normalized population basis of 100,000 inhabitants. The SIR system was solved numerically using the second-order Heun method with a one-day time step over a 160-day simulation period. The analysis included the basic reproduction number ( ), Herd Immunity Threshold (HIT), compartment dynamics, infection peak, peak time, and numerical accuracy evaluation against a reference RK45 solution. The simulation results showed that Simalungun, with  and , produced , an HIT of 82.14%, and an infection peak of 51,290.91 on day 39. Dairi, with  and , produced , an HIT of 77.27%, and an infection peak of 43,604.73 on day 44. Numerical evaluation resulted in MAPE values of 1.12% for Simalungun and 0.56% for Dairi. The results indicate that differences in the transmission rate affect the magnitude and timing of the infection peak under the model scenarios considered.
AUTOMASI ROUTING STATIC DAN DYNAMIC BERBASIS ARSITEKTUR CLIENT SERVER Angelina S. Saragih; Dedy Kiswanto; Jatmiko Althaf Aziz; Andika Veriando Saragih
ZONAsi: Jurnal Sistem Informasi Vol. 8 No. 3 (2026): Publikasi artikel ZONAsi: Jurnal Sistem Informasi Periode September 2026
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/4hvjfn56

Abstract

Pengelolaan jaringan komputer secara manual memiliki banyak keterbatasan, terutama dalam hal efisiensi waktu, konsistensi konfigurasi, dan skalabilitas. Penelitian ini bertujuan mengimplementasikan otomasi konfigurasi routing statis dan dinamis menggunakan script Python pada lingkungan simulasi jaringan GNS3 dengan perangkat MikroTik Cloud Hosted Router (CHR) berbasis arsitektur client-server. Metode yang digunakan meliputi perancangan topologi jaringan dengan tiga router, dua PC (VPCS), dan satu node NetworkAutomation sebagai control node. Script Python dikembangkan menggunakan library Netmiko untuk melakukan koneksi SSH ke setiap router secara otomatis. Dua skenario pengujian dilakukan, yaitu konfigurasi routing statis dan konfigurasi routing dinamis OSPF. Hasil pengujian menunjukkan bahwa kedua script berhasil mengkonfigurasi seluruh router secara otomatis tanpa intervensi manual, dengan verifikasi konektivitas end-to-end antara PC1 dan PC2. Waktu konfigurasi menggunakan script Python jauh lebih singkat dibandingkan konfigurasi manual.
Co-Authors Angelina S. Saragih Dedy Kiswanto Jatmiko Althaf Aziz Jhon Gabriel Simarmata Niska, Debi Yandra Yusrida Jelianti Sihite YUSRIDA JELIANTI SIHITE SIHITE Zulfahmi Indra, Zulfahmi