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All Journal Elkom: Jurnal Elektronika dan Komputer Jurnal Informatika Sistemasi: Jurnal Sistem Informasi Jurnal Pilar Nusa Mandiri Jurnal Nasional Komputasi dan Teknologi Informasi Jurnal Riset Informatika Technologia: Jurnal Ilmiah Jurnal Manajemen Informatika dan Sistem Informasi Jurnal Infortech Paradigma Jurnal Penelitian dan Pengabdian Masyarakat Jotika
Rizka Dahlia
Universitas Bina Sarana Informatika
Aerospace Engineering Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Library & Information Science Neuroscience Transportation Other

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Journal : Elkom: Jurnal Elektronika dan Komputer

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SISTEM PAKAR DIAGNOSA PENYAKIT PADA GIGI BERBASIS WEB DENGAN PENALARAN FORWARD CHAINING Muhammad Ifan Rifani Ihsan; Lady Agustine; Rizka Dahlia; Ahmad Fachrurozi
Elkom : Jurnal Elektronika dan Komputer Vol 15 No 2 (2022): Desember : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v15i2.921

Abstract

Teeth are one of human‘s organs that feeds on food. As an organ, the tooth definitely can be attacked by some disease. There are many cases of dental disease that occur from dental diseases common to people to chronic dental diseases that can be dangerous. The low level of public concern about dental disease is a problem faced today. Evidenced by the small number of people who diligently consult with dentists about the health of their teeth. An alternative option is needed that can make it easier for people to be able to consult or diagnose dental health and disease without having to see a doctor of dental health. Therefore, in this essay an expert system was created to provide alternative choices for people. This expert system was created with the php hypertext preprocessor programming language. Using the forward chaining method as a tracking method. The purpose of making this expert system is to be able to be a substitute for a dental expert so that people can already do the diagnosis of dental disease anywhere and anytime.
Sentimen Analisis Photoshop Express di Google Play Store Menggunakan Metode Naive Bayes dan CNN Lailiah, Badariatul; Rizka Dahlia; saadah, Rabiatus
Elkom: Jurnal Elektronika dan Komputer Vol. 18 No. 1 (2025): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/qd2vme79

Abstract

Technological advancements have brought fundamental changes in the way we interact with digital images and photography. One significant milestone in this development is the Photoshop Express Photo Editor, which has become a primary platform for image processing and editing. Datasets are used to analyze sentiment and are utilized during the accuracy testing phase. Based on the testing results, the Convolutional Neural Network (CNN) algorithm achieved an average accuracy value of 86.50%, compared to the Naïve Bayes (NB) algorithm, which achieved an average accuracy value of 75%. The results of the research conclude that the choice of sentiment analysis method should be tailored to the needs and limitations of the system. If a fast, light, and easy-to-understand process is required, the Naive Bayes method is the right choice. However, if accuracy and context understanding are the top priorities, then CNN is a superior approach, although it requires more resources. Additionally, based on the Wordcloud data, it is known that the majority of comments are positive, indicating that the reviews or texts analyzed contain many positive expressions related to quality, usability, and ease of use.
Co-Authors Ahmad Fachrurozi Ali Mustopa, Ali Arief Rama Sena Arina Selawati Badariatul Lailiah Cucu Ika Agustyaningrum Firdaus, Muhammad Rifqi Fitriana, Lady Agustin Frieyadie Hendri Mahmud Nawawi Lady Agustin Fitriana Lady Agustin Fitriana Lisnawanty Muhammad Ifan Rifani Ihsan Muhammad Rifqi Firdaus Nanik Wuryani Omar Pahlevi Rabiatus Saadah Rezki, Muhammad Sa'adah, Rabiatus Saadah, Rabiatus Siti Fauziah Siti Nurdiani Sri Hadianti Syarah Seimahuira Syarah Seimahuira Windu Gata