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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Teknik Informatika (JUTIF) Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) Jurnal Pengabdian West Science
Firizqi, Januponsa Dio
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Analisis Sentimen Produk Skincare Somethinc Niacinamide di Female Daily dengan Naïve Bayes Classifier WP, Dwi Atmodjo; Firizqi, Januponsa Dio; Amalia, Zalfa Azzah
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 2 (2024): April 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i2.7571

Abstract

One of the skincare products from Somethinc that is currently hotly discussed is Niacinamide Moisture Beet Serum. On the Female Daily site, people who have used the beauty products they use express their opinions in a review on Female Daily. However, the many thousands of reviews that exist have not been structured, so it is still difficult for the public and potential consumers to understand the essence of opinions on a product and classify them into the appropriate polarity of opinion. This research aims to analyze public sentiment regarding reviews of the Somethinc Niacinamide skincare product in Female Daily using the Naïve Bayes Classifier algorithm. This method was chosen because of its capabilities in probability-based text classification and popularity in sentiment analysis. The study began with collecting review data from the Female Daily site, followed by a text pre-processing process which included case folding, tokenizing, stopwords removal, and stemming. The dataset is then divided into training data (80%) and test data (20%). The Naïve Bayes Classifier algorithm is applied to classify reviews into positive, negative, or neutral categories. The research results show that this model is successful in classifying sentiment with 61% accuracy. The conclusions of this study indicate that although the Naïve Bayes Classifier algorithm is quite effective in classifying the sentiment of skincare product reviews, there is room for improvement, especially in handling meaningful and contextual words. This research provides new insight for brand owners and potential consumers in understanding public opinion regarding the Somethinc Niacinamide skincare product.
ANALYSIS AND PREDICTION OF HEALTH INSURANCE PREMIUM VALUE USING MACHINE LEARNING ALGORITHM Danendra, Danica Recca; Firizqi, Januponsa Dio
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 5 No. 2 (2025): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/morfai.v5i2.2775

Abstract

Rising healthcare costs and administrative complexity in the health insurance sector underscore the need for an efficient predictive model to anticipate insurance premium prices. The study explores Machine Learning (ML) techniques to predict the value of health insurance premiums. Also, it aims to provide further insights to stakeholders to create strategies in premium pricing and risk management. This study uses the Kaggle.com datasets and a boosting regression algorithm to compare the accuracy and metric evaluation results in predicting the value of insurance premiums. Feature engineering techniques are applied to improve model performance, reduce over-fitting, and interpret the model to ensure the inclusion of relevant predictors by studying the strengths and limitations of each technique. They overcome this through feature selection, model interpret-ability, scalability, and generalization. Through this comprehensive review, the results of this study aim to provide valuable insights for practitioners, researchers, and policymakers, as well as facilitate informed decision-making in the context of determining the value of health insurance premiums through the use of ML methodologies.
Optimalisasi Komunikasi Komunitas Melalui Pengenalan Fitur AI WhatsApp di RW 04 Rancagong Andrew, Andrew; Clarinda , Marcellina Aurelia; Wiryaatmaja , Christopher Louis; Elizabeth Hiu , Jesslyn Juana; Firizqi, Januponsa Dio; Aprikasari, Manda
Jurnal Pengabdian West Science Vol 4 No 08 (2025): Jurnal Pengabdian West Science
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/jpws.v4i08.2456

Abstract

Pengabdian masyarakat ini berfokus pada peningkatan efisiensi komunikasi dan partisipasi warga di RW 04 Desa Rancagong, Legok, Tangerang, yang memiliki karakteristik sosial tertutup dan kurangnya partisipasi dalam kegiatan sosial. Tujuan pengabdian adalah membentuk komunitas WhatsApp dan mensosialisasikan fitur Meta AI untuk memfasilitasi penyebaran informasi yang lebih efektif dan mendorong interaksi antarwarga. Metode yang digunakan meliputi sosialisasi tatap muka kepada masyarakat mengenai Meta AI dan pembentukan grup komunitas WhatsApp. Hasil yang diharapkan adalah terbentuknya platform komunikasi yang terintegrasi, peningkatan partisipasi warga dalam kegiatan sosial, serta pemanfaatan teknologi AI untuk mendukung komunikasi yang lebih dinamis dan terarah di lingkungan RW 04.
IMPLEMENTATION OF CONTAINER ORCHESTRATOR MANAGEMENT IN LEARNING MANAGEMENT SYSTEM Subhi Basit, Muhamad; Pratama, Arif; Firizqi, Januponsa Dio; Indrajit, Richardus Eko
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 4 (2023): JUTIF Volume 4, Number 4, August 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.4.1289

Abstract

The pandemic that started in 2019 made technology even more important. Accelerating digital adaptation and transformation in the education sector, namely the Learning Management System (LMS) is very helpful in the teaching and learning process. Various LMS platforms are widely used and developed by various agencies. Pradita University is also developing an LMS which is made with the node.js programming language and the next.js framework which can be accessed on the pradita.digital site. The choice of using the wrong technology can cause the problematic LMS that is used to become slow and heavy, to the point where it cannot be accessed. The use of technology with the hypervisior concept which was previously commonly used has various weaknesses. For this reason, the Pradita LMS was developed using container orchestrator technology and Rancher Kubernetes as container orchestrator management. By utilizing Rancher as a container orchestrator management, it can make it easier to use with a user friendly GUI. In this study aims to prove that the use of Rancher in improving the quality and performance of LMS Pradita. Among them by identifying system efficiency, providing better scalability, increasing the availability of Pradita LMS, Rancher is able to manage applications and containers used for Pradita LMS, and saving costs used in implementing physical devices. By using the experimental method applied in this study, the results of system efficiency testing and scalability testing carried out with a load of up to 200 users can run properly and efficiently, then the availability test proves that the LMS is still available even when there are workers who are not operating, and testing rancher management capabilities lead to conclusions Rancher runs optimally and uses resources efficiently in accordance with the objectives in this study.
GOVERNANCE OF IOT DEVICES USING NODE-RED ORCHESTRATOR AND WEB-BASED DASHBOARD Atmodjo, Dwi; Harianja, Richad; Firizqi, Januponsa Dio; Kurniawan, Rido Dwi
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 5 (2023): JUTIF Volume 4, Number 5, October 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.5.1336

Abstract

High electricity bills are often caused by a lack of monitoring the use of electronic equipment in the household. One common problem is forgetting to turn off appliances that are not in use, which causes electricity to continue flowing and increases electricity bills. Currently, although there are several technologies that allow the control of appliances, their features are still limited, especially in lamps. This research focuses on developing Internet of Things (IoT) technology in the field of energy and control. One of the implementations is using a Raspberry Pi microcontroller to monitor the use of electrical energy in households. In order to make the use of IoT components more efficient and easier, a NODE-RED-based system is used which serves as a link between end users and IoT equipment. For monitoring IoT components, a web dashboard using the Laravel framework was also built. This allows users to view the components used and the activities that occur on their IoT equipment. High electricity bills are often caused by a lack of monitoring the use of electronic equipment in the household. One common problem is forgetting to turn off appliances that are not in use, which causes electricity to continue flowing and increases electricity bills. Currently, although there are several technologies that allow the control of appliances, their features are still limited, especially in lamps. This research focuses on developing Internet of Things (IoT) technology in the field of energy and control. One of the implementations is using a Raspberry Pi microcontroller to monitor the use of electrical energy in households. In order to make the use of IoT components more efficient and easier, a NODE-RED-based system is used which serves as a link between end users and IoT equipment. For monitoring IoT components, a web dashboard using the Laravel framework was also built. This allows users to view the components used and the activities that occur on their IoT equipment.
Co-Authors Amalia, Zalfa Azzah Andrew Andrew, Andrew Aprikasari, Manda Atmodjo, Dwi Clarinda , Marcellina Aurelia Danendra, Danica Recca Elizabeth Hiu , Jesslyn Juana Harianja, Richad Kurniawan, Rido Dwi Pratama, Arif Richardus Eko Indrajit Subhi Basit, Muhamad Wiryaatmaja , Christopher Louis WP, Dwi Atmodjo