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Implementation Of The Naive Bayes Method To Classification Good Air Quality Zalika Riswan Dini; Dedi Purwanto; Nova Mayasari
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (879.6 KB)

Abstract

Naïve Bayesisa- method- of doing statistical classification based on the probability value of the members in the class on a data. This research was conducted by finding several stages of the process carried out, namely the process of sharing training data and test data. Then the-classification-process-is-carried-out by-finding the-accuracy-value-of-the-Naïve-Bayes method. The success of increasing the-accuracy-of-the-dataset-using-the-weighting-of-the Naïve Bayes algorithm which greatly affects all attributes, so that it greatly affects the-accuracy-of-the-data. -In-the-data classification-process-using the Naïve Bayes algorithm that uses the Air Quality dataset, the accuracy results are 39.97%. The author hopes that there will be development of the Naïve Bayes method by comparing it to other weighting methods in order to get various kinds of analysis results so as to get a higher accuracy value and use more datasets.
IMPROVING THE QUALITY OF PERFORMANCE MONITORING OF THE WORK UNITS OF THE NATIONAL LAND AGENCY OF ACEH PROVINCE Rendy Fahmi Roza; Dedi Purwanto; Nova Mayasari
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1989.257 KB)

Abstract

This study describes a system that functions to monitor performance achievements, where technological developments in the millennial era are very rapid so that they are able to have a large enough effect, especially in the world of work. Achievement of performance in an organization is very important so that the work of an organization can be achieved according to the target. At the Ministry of ATR/BPN, many dashboards have been made that can monitor this performance achievement, but due to too many dashboards spread over many applications, it is difficult for the supervisory officers of the Aceh Province BPN Regional Office to monitor and evaluate, it is necessary to have a system that can collect all achievements. performance byrealtimeand fast, so that with a system that is integrated into all dashboards, it will make it easier for supervisory officials to monitor and evaluate all activities anytime and anywhere.
Prototype Development of a Python-Based Application for Allegory Detection in Electronic News Coverage Yossy Fadly; Dedi Purwanto; Ranti Eka Putri
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 2 (2025): September 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i2.722

Abstract

Allegory represents an extended figurative construction in which narrative elements—characters, actions, events, and symbolic structures—encode meanings beyond their literal level. In electronic news reporting, allegory may be used to simplify complex issues, frame institutional identity, and convey ideological nuances through symbolic narratives. This study aims to develop a Python-based prototype capable of detecting allegorical expressions in electronic news texts and analyzing their discursive implications through a Critical Discourse Analysis (CDA) perspective. The research integrates text preprocessing, narrative pattern recognition, symbolic cue extraction, and lexical-semantic analysis to identify indicators of allegorical structures. The corpus consists of online news articles related to institutional coverage published between 2020–2025. The CDA framework, particularly Fairclough’s three-dimensional model, is employed to interpret the ideological and discursive functions of allegory. The prototype demonstrates preliminary accuracy in detecting allegorical patterns, particularly narrative sequences that portray institutions metaphorically as agents, guardians, vessels, or journeys. Findings indicate that allegory functions not merely as a stylistic device but as a discursive strategy to construct institutional identity, reinforce legitimacy, and shape public perception. The study contributes theoretically to discourse linguistics and figurative language analysis, and practically by providing a computational tool for identifying allegory in news media.
Sistem Absensi Online Berbasis Web Dengan Penggunaan Teknologi GPS Dedi Purwanto; Ranti Eka Putri; Yossy Fadly; Dian Citra Pratiwi
Jurnal Minfo Polgan Vol. 13 No. 2 (2024): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v13i2.14258

Abstract

Penelitian ini bertujuan untuk merancang sistem absensi pegawai universitas berbasis web yang memanfaatkan teknologi GPS (Global Positioning System) sebagai metode verifikasi lokasi. Sistem ini dirancang untuk mempermudah proses absensi pegawai yang dapat dilakukan secara otomatis dan akurat berdasarkan lokasi geografis. Penggunaan GPS memungkinkan pengawasan yang lebih efektif terhadap kehadiran pegawai, memastikan bahwa absensi dilakukan hanya ketika pegawai berada di area yang telah ditentukan, seperti area kampus. Sistem ini terdiri dari aplikasi berbasis web yang terintegrasi dengan perangkat GPS pada smartphone pegawai, serta database yang menyimpan data absensi dan lokasi secara real-time. Diharapkan dengan adanya sistem ini, manajemen kehadiran pegawai dapat dilakukan dengan lebih efisien, mengurangi manipulasi absensi, dan meningkatkan transparansi serta akuntabilitas di lingkungan universitas.