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All Journal Foristek Jurnal Ilmiah Intech : Information Technology Journal of UMUS
Dessy Santi
Jurusan Teknologi Informasi, Fakultas Teknik, Universitas Tadulako, Palu
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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Implementasi Naïve bayes Clasifier dalam Klasifikasi Jenis Berita Dessy Santi; Jumadil Nangi; Natalis Ransi
Foristek Vol. 10 No. 1 (2020): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (362.383 KB) | DOI: 10.54757/fs.v10i1.52

Abstract

Sometimes the classification of news categories is still an obstacle. Classification can be wrong because it is still subjective. As a result, the selected category does not match the uploaded news description. Based on these problems, the authors feel the need to make Classification of News Types with the Naïve Bayes Classifier Algorithm. The importance of this system is to be able to classify news and help news seekers to get the news they want. Based on the test results, the Naïve Bayes Classifier algorithm has a good performance for the classification of news types. This is evidenced in testing using news data taken from www.kompasiana.com, then news is classified into four categories namely politics, economics, sports, and entertainment. The classification results using 16 test news obtained an accuracy of 87.5%.
Sistem Informasi Pengarsipan Surat-Surat Pada PT Sinergi Perkebunan Nusantara Dessy Santi; Meri Kristina Tongkuru
Jurnal Teknik Informatika UMUS Vol 2 No 01 (2020): Mei
Publisher : Universitas Muhadi Setiabudi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (808.206 KB) | DOI: 10.46772/intech.v2i01.186

Abstract

Pengelolaan surat dalam suatu organisasi memegang peranan penting dalam proses administrasi. Dalam hal ini sistem tata persuratan menjadi salah satu faktor yang berpengaruh dalam pengelolaan surat. Pada PT. Sinergi Perkebunan Nusantara,Pengelolaan surat masuk dan surat keluar dilakukan secara manual mulai dari pencatatan surat, proses pencarian, dan penyimpanan yang membutuhkan waktu dan biaya yang tidak efektif dan efisien. Sistem informasi pengarsipan adalah solusi dari permasalahan ini. Sistem informasi Pengarsipan ini juga memudahkan proses komunikasi data antar bagian. Sistem informasi ini dibuat dengan menggunakan PHP sebagai bahasa pemrograman , MySQL sebagai database dengan menngunakan Metode Rapid Application Development (RAD). Hasil dari penelitian ini adalah sebuah sistem informasi pengarsipan yang memberikan banyak kemudahan dalam proses pengelolaan surat surat termasuk pencarian surat, disposisi surat serta pendokumentasian dan pengarsipan surat-surat
CLUSTERING DAERAH TERDAMPAK SAMPAH DI INDONESIA MENGGUNAKAN ALGORITMA DBSCAN. Santi, Dessy; Maharani, Wulan; Syahrullah, Syahrullah; Nugraha, Deny Wiria; Mukhlis, Baso; Kali, Agustinus
Foristek Vol. 15 No. 1 (2025): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v15i1.751

Abstract

The waste problem in Indonesia is a complex and evolving environmental issue, particularly in areas with high population density and economic activity. This study aims to cluster regions affected by waste issues using the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm. DBSCAN was chosen for its ability to identify spatial patterns and detect outliers without requiring a predefined number of clusters. The data used includes spatial and non-spatial information related to waste volume and regional characteristics across various provinces in Indonesia. The results show that DBSCAN effectively groups waste-affected areas into several clusters based on data density and spatial proximity. These clusters can serve as a foundation for determining policy priorities for regional and national waste management. This research is expected to contribute to the development of more targeted and data-driven waste management strategies.
Co-Authors Agustinus Kali Baso Mukhlis Deny Wiria Nugraha Jumadil Nangi Maharani, Wulan Meri Kristina Tongkuru Natalis Ransi Syahrullah Syahrullah