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All Journal Pixel : Jurnal Ilmiah Komputer Grafis Majalah Ilmiah METHODA Jurnal Inovasi Teknologi dan Komputer
Nicolas Elsada Lahagu
Universitas Katolik Santo Thomas
Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Medicine & Pharmacology Public Health Other

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Perancangan Sistem Informasi Aplikasi Barang Hilang dan Penemuan Barang Berbasis Web Nicolas Elsada Lahagu; Brema Aprilta Sembiring; Gregorius Sihombing; Aginta Ekaristian Sembiring
JITKO : Jurnal Inovasi Teknologi dan Komputer Vol. 3 No. 02 (2026): Jurnal Inovasi Teknologi dan Komputer (JITKO)
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jitko.v3i02.86

Abstract

Permasalahan kehilangan dan penemuan barang masih sering terjadi di lingkungan masyarakat, namun proses pelaporan dan pencarian umumnya dilakukan secara manual sehingga tidak efisien dan sulit diverifikasi. Penelitian ini bertujuan untuk merancang dan membangun sistem informasi barang hilang dan temuan berbasis web yang mampu mengelola data secara terpusat serta mendukung interaksi antara pelapor dan penemu barang. Metode yang digunakan adalah Research and Development (R&D) dengan pendekatan System Development Life Cycle (SDLC) model Waterfall yang meliputi tahapan analisis kebutuhan, perancangan sistem, implementasi, pengujian, dan pemeliharaan. Hasil pengujian sistem menunjukkan bahwa seluruh fitur utama, seperti pelaporan barang hilang, pelaporan barang temuan, pencarian data, dan manajemen pengguna, berjalan dengan tingkat keberhasilan fungsional sebesar 100% (berhasil tanpa error). Sistem yang dikembangkan mampu meningkatkan efisiensi proses pencarian dan pelaporan hingga lebih cepat dibanding metode manual, serta mempermudah komunikasi antar pengguna. Kesimpulannya, sistem informasi berbasis web yang dibangun telah memenuhi kebutuhan pengguna dan layak digunakan sebagai media layanan informasi barang hilang dan temuan secara efektif dan terstruktur.
Efektivitas Otomasi Administrasi Server Menggunakan Shell Script dan Cron Job pada Linux Nicolas Elsada Lahagu; Leni Kartika Simbolon; Lotar Mateus Sinaga
Pixel :Jurnal Ilmiah Komputer Grafis Vol. 19 No. 1 (2026): Pixel :Jurnal Ilmiah Komputer Grafis dan Ilmu Komputer
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/pixel.v19i1.3920

Abstract

Manual server administration introduces operational inefficiencies and elevated risks of human error. This study evaluated the effectiveness of server administration automation utilizing Shell scripting and Cron Job scheduling within a virtualized Linux Debian 12 environment. An experimental method compared manual execution against automated procesases based on execution duration, resource consumption, and error reduction. The findings indicated that the automated system executed backup routines within 0.043 seconds, demonstrating a 95.16% time efficiency increase compared to the manual baseline of 0.89 seconds. Automated monitoring maintained a stable resource allocation, utilizing 275 megabytes of memory and low central processing unit usage between 0.0% and 1.3%. Furthermore, automation reduced operational failures to 0%. In conclusion, this integration significantly optimizes server reliability.
Analisis Sentimen Masyarakat terhadap Isu Pemalsuan Ijazah Joko Widodo di Media Sosial X Menggunakan Metode Naive Bayes Teresa Martuah Purba; Nicolas Elsada Lahagu; Karolus Doweng Koten; Richard Agung Orlando Berutu; Jumita Yohana Hutagalung
Majalah Ilmiah METHODA Vol. 15 No. 3 (2025): Majalah Ilmiah METHODA
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methoda.Vol15No3.pp248-254

Abstract

The alleged diploma forgery case involving Joko Widodo attracted great attention on social media, especially on the X platform. This research aims to analyze people's association with the issue by utilizing the Naive Bayes algorithm. The data used in this study consists of 1,000 tweets obtained through web crawling techniques based on certain keywords. The dataset is divided into two segments, 80% used for training data and 20% used for testing data. Of the 800 data used for training, 299 tweets (37.4%) showed positive sentiment, and 501 tweets (62.6%) showed negative sentiment. The remaining 200 tweets were used to test the model. The Naive Bayes model was then trained with the training data to identify existing sentiment patterns, and then tested with the test data to assess its classification accuracy. The findings of this study indicate that negative sentiment is superior to positive sentiment regarding the issue of Joko Widodo's diploma forgery. This reflects the public's tendency to respond to politically sensitive issues in the digital world. The Naive Bayes method proved to be quite powerful in classifying text-based public opinion with high accuracy, so it has the potential to become a tool in mapping public views on socio-political issues.
Co-Authors Aginta Ekaristian Sembiring Brema Aprilta Sembiring Gregorius Sihombing Jumita Yohana Hutagalung Karolus Doweng Koten Leni Kartika Simbolon Lotar Mateus Sinaga Richard Agung Orlando Berutu Teresa Martuah Purba