Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah FIFO JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Ekonomi
WP, Dwi Atmodjo
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
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.
Optimizing Digital Applications To Enhance Operational Efficiency In MSMEs And Accelerate The Digital Economy Septiano, Renil; WP, Dwi Atmodjo; Fauzi, Maulidza Nur; Suratman, Suratman; Chatra, Afdhal
Jurnal Ekonomi Vol. 13 No. 03 (2024): Jurnal Ekonomi, Edition July -September 2024
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Improving the operational efficiency of MSMEs and quickening the digital economy depend on optimizing digital apps in the fast changing digital environment. Many MSMEs, meanwhile, struggle with things like low technical skills, limited funds, and opposition to change. This paper investigates how digital apps could help MSMEs overcome obstacles and suggests efficient ways to maximize the usage of digital technology by means of the literature review approach. Digital apps include data analytics, digital marketing, and inventory control can help MSMEs become more competitive, more efficient, and productive, according the literature study. Case studies from Indonesia, such the UMKM Go Digital initiative, highlight the good effects of digital technology acceptance. The outcomes highlight the need of government and corporate sector cooperation in offering the required skills, resources, and infrastructure to assist the digitization of MSMEs. With the correct approach, digital technology may be a main engine of equitable and sustainable economic development.
Implementasi Feature-Driven Development dalam Pengembangan Sistem Informasi Manajemen Aset Desa WP, Dwi Atmodjo
Jurnal Ilmiah FIFO Vol 17, No 1 (2025)
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/fifo.2025.v17i1.008

Abstract

Pengelolaan aset desa yang belum terstruktur secara digital dapat menimbulkan berbagai permasalahan, seperti keterlambatan dalam monitoring, kesalahan pencatatan, serta tidak adanya integrasi data yang memadai. Penelitian ini dilakukan untuk merancang dan mengembangkan sistem informasi manajemen aset desa berbasis web yang mampu meningkatkan efisiensi, akurasi, dan transparansi dalam pengelolaan aset. Metodologi yang digunakan adalah Feature-Driven Development (FDD), yang menekankan pada pengembangan sistem secara bertahap berdasarkan fitur-fitur yang dibutuhkan pengguna. Sistem dikembangkan menggunakan framework CodeIgniter dan database MySQL. Proses pengembangan mengikuti lima fase utama FDD: Develop an Overall Model, Build a Feature List, Plan by Feature, Design by Feature, dan Build by Feature. Hasil implementasi menunjukkan bahwa sistem berhasil mengakomodasi fitur utama seperti manajemen data aset, pengajuan barang, monitoring kondisi aset, penyusutan nilai aset, dan pencetakan laporan. Efektivitas metode FDD dalam mendukung pengembangan sistem yang terstruktur dan adaptif tercermin dari keberhasilan sistem dalam memenuhi spesifikasi yang telah ditetapkan. Dengan demikian, sistem ini diharapkan dapat menjadi solusi digital yang mendukung tata kelola aset desa secara efisien dan terukur.
Co-Authors Afdhal Chatra Amalia, Zalfa Azzah Januponsa Dio Firizqi Maulidza Nur Fauzi Septiano, Renil Suratman Suratman