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PERANCANGAN BAHAN PELATIHAN BERBASIS WEBSITE DI KEJURUAN TEKNOLOGI INFORMASI DAN KOMUNIKASI BALAI BESAR PENGEMBANGAN LATIHAN KERJA BEKASI Faizal Riza; Dannie Febrianto Hendrakusuma; Rachmat Setiabudi; Anindito Kusumo Birowo; Cahyono Koerniawan Hidayat
JSI (Jurnal sistem Informasi) Universitas Suryadarma Vol 10, No 2 (2023): JSI (Jurnal sistem Informasi) Universitas Suryadarma
Publisher : Universitas Dirgantara Marsekal Suryadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jsi.v10i2.1081

Abstract

 AbstractBalai Besar Pengembangan Latihan Kerja (BBPLK) Bekasi is a training place for government-owned skills or expertise under the auspices of the Ministry of Manpower headed by Echelon II government officials. In the Center for Job Training Development (BBPLK) Bekasi, there are various kinds of vocational training, one of which is the Information and Communication Technology Vocational School. In the Information and Communication Technology (ICT) Vocational School there are 5 (five) training programs, namely: Graphic Design, Motion Graphic Artist, Network Professional, Mobile Programming and IT Software For Business Solution. In this vocational school, they still use the manual method in processing data on training materials stored in the warehouse. The method used is by filling out the training material expenditure form, then the form is stored in their respective archive folders. This system has been running well but still has weaknesses, including if the admin is asked to find training material data quickly, the admin will have difficulty finding one by one archive that has been stored and takes a long time and taking training materials that are not in accordance with the training program and possibly there is a missing file. The research method uses data collection by means of observation, interviews and literature study. So with the design of a website-based training material inventory information system, it can make it easier to find data on the availability of training materials according to the training program and make the work process of checking training materials more effective and efficient. Keywords : training materials, system, information, inventory, website..
Quickly Assess the Acceptability Sentiment of White Paracetamol Intake Using KNN-SMOTE Based On Receptive Deciding Rio Andika Malik; Faizal Riza; Sarjon Defitb
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 15 No. 01 (2024): Vol. 15, No. 01 April 2024
Publisher : Institute for Research and Community Services, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/LKJITI.2024.v15.i01.p05

Abstract

This research aims to develop a fast and adaptive sentiment evaluation approach related to the use of white paracetamol using a combination of the K-Nearest Neighbors (KNN) algorithm, Synthetic Minority Over-Sampling Technique (SMOTE), and the Receptive Deciding concept. Imbalances in the dataset, where positive sentiment may predominate, are addressed using SMOTE to synthesize minority class samples. The KNN algorithm is applied to build a sentiment classification model, while Receptive Deciding is used to provide adaptive intelligence to changes in sentiment. The SMOTE oversampling process is carried out to achieve class balance, while KNN is used to classify sentiment. Receptive Deciding is applied to increase the model's adaptability to changes in sentiment. The research results show that integrating the SMOTE, KNN, and Receptive Deciding methods effectively assesses sentiment accurately and adaptively. The developed model can recognize changes in sentiment over time and provide balanced evaluation results. These findings are expected to contribute to understanding public sentiment towards using white paracetamol and be the basis for developing more effective health communication strategies.