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All Journal Elkom: Jurnal Elektronika dan Komputer Journal of Computer Science and Informatics Engineering
Harahap, Yunus Fadillah
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Computer Science & IT Education

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Rancangan Aplikasi Pengelolaan Data Kepegawaian Berbasis Web pada Dinas Kebudayaan dan Pariwisata Sumatera Utara Harahap, Yunus Fadillah; Satrio, Ilham Hafiz
Journal of Computer Science and Informatics Engineering Vol 1 No 2 (2022): April
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (787.76 KB) | DOI: 10.55537/cosie.v1i2.45

Abstract

Perkembangan ilmu pengetahuan dan teknologi mempunyai perananan yang sangat penting dan perkembangannya sudah sangat pesat pada saat ini, terutama pada bidang ilmu komputer telah banyak suatu instansi pemerintahan maupun perusahaan swasta yang telah menggunakan sistem komputerisasi untuk proses operasional yang sebelumnya dilakukan secara manual menjadi sistem yang terotomatis dalam pengoprasiannya seperti proses pengelolaan data . Adapun pada penelitian ini akan dilakukan perancangan sistem pengelolaan data kepegawaian pada Dinas Kebudayaan dan Pariwisata Sumatera Utara, sistem ini dibuat menggunakan bahasa pemrograman PHP yang berbasis website. Metode penelitian yang akan digunakan dalam perancangan aplikasi ini melalui proses berdasarkan pada metode paradigma waterfall agar memetakan tahapan - tahapan pengembangan dasar yang terstruktur dengan baik. Aplikasi ini dirancang untuk memberikan dampak kemajuan pada Dinas Kebudayaan dan Pariwisata Provinsi Sumatera Utara dalam pengembangan teknologi yang kini sudah memasuki canggih sehingga instansi-instansi perlu mengembangkan ekonomi melalui teknologi yang diharapkan mampu menyajikan informasi secara teliti dan akurat serta penggunaannya lebih efisien dibandingkan dengan sistem yang lama.
Analisis Sentimen Masyarakat Terhadap Resesi Ekonomi Global 2023 Menggunakan Algoritma Naïve Bayes Classifier Sriani; Lubis, Aidil Halim; Harahap, Yunus Fadillah
Elkom: Jurnal Elektronika dan Komputer Vol. 16 No. 2 (2023): Desember : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v16i2.1673

Abstract

The global economic recession is a global economic downturn that affects the domestic economies of countries in the world. The stronger the economic dependence of one country on the global economy, the faster a recession will occur in that country. In 2020 the country of Indonesia and even the world are exposed to the COVID-19 virus which has an impact on the country's economic growth, even the world economy. This is the trigger for an economic recession. This has led to many different public perspectives on the occurrence of a global economic recession whose opinions or reactions are expressed on social media Youtube. The data was obtained by crawling techniques from social media Youtube with a total of 500 comments used. The data is then labeled (class) with a lexicon-based method with an Indonesian language dictionary. From the labeling results, it was obtained 185 positive labeled data (37%) and 315 negative opinions (63%). The data preprocessing stage is carried out in preparation for the data to be processed for sentiment analysis. Of the many opinions obtained, an analysis of public sentiment regarding the 2023 global economic recession will be carried out using the Naïve Bayes classification algorithm. This study also applied the TF-IDF word weighting method with the n-gram feature used, namely bigram (n=1). The system will be evaluated using a confusion matrix. The implementation results show a prediction model with a total of 500 opinion data with a comparison of training data and test data of 9:1, producing an accuracy value of 84.00%, a precision value of 75.00%, a recall of 30.00%, and an f1-score of 42.86%. The performance of the system model built in this study can be said to be good.
Co-Authors Aidil Halim Lubis Satrio, Ilham Hafiz Sriani