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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Informatika JRSI (Jurnal Rekayasa Sistem dan Industri) Syntax Literate: Jurnal Ilmiah Indonesia JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan International Journal of Supply Chain Management JUMANJI (Jurnal Masyarakat Informatika Unjani) Jurnal Teknologi dan Informasi Jurnal Sistem Cerdas JOISIE (Journal Of Information Systems And Informatics Engineering) Jurnal Pengabdian Kepada Masyarakat MEMBANGUN NEGERI Syntax Idea Jurnal Darma Agung JOINT (Journal of Information Technology Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Responsif : Riset Sains dan Informatika Brilliance: Research of Artificial Intelligence Journal of Informatics and Communication Technology (JICT) Jurnal Inovasi Masyarakat Jurnal Informatika Teknologi dan Sains (Jinteks) Tedc Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Indonesia Sosial Teknologi Jurnal Informatika: Jurnal Pengembangan IT Journal of Informatics and Communication Technology (JICT) Jurnal Teknik Informatika dan Teknologi Informasi Jurnal manajemen dan bisnis (Performa)
Ari Purno Wahyu Wibowo
Universitas Widyatama Bandung, Indonesia
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Veterinary Other

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Analysis of Public Sentiment Text Clustering on Tax Increases using Orange Data Mining on Twitter Ibnu Azhar Maulana; Ari Purno Wahyu Wibowo
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.5787

Abstract

Taxes play an important role in the life of a nation and state, particularly in the implementation of national development. Recently, Indonesia issued a new policy to increase VAT to 12%. This policy has sparked a range of both negative and positive opinions from the public. As a result, various reactions and sentiments have been expressed by citizens regarding the policy. To analyze these public sentiments, text mining was carried out using the Orange Data Mining application, utilizing data from the Twitter platform to observe and evaluate Indonesian citizens' reactions. A total of 100 tweets were collected using relevant keywords to find content related to the policy. The results were then categorized into several sentiment groups based on the similarity of their content. After the text classification, the data was stored in a table showing the number of positive, negative, and neutral sentiments. This data was later visualized in a graph, which revealed that the most common reaction was disappointment, followed by confusion, enthusiasm, and lastly, anger. The results of this study indicate that many Indonesian citizens are disappointed with the VAT increase policy. Many believe that the government's use of tax funds has not been satisfactory. Therefore, the government is urged to improve its programs so that citizens can feel the benefits of the taxes they pay.
Design of an Automatic Help Desk Response Module Using Natural Language Processing Tri Mur Fridayanto; Ari Purno Wahyu Wibowo
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.6575

Abstract

Manual help desk systems in enterprise environments often suffer from delayed response times and repetitive queries, reducing service efficiency. This research aims to design an automated help desk response module by applying Natural Language Processing (NLP) techniques, specifically within the asset management context of an ERP system. The module uses Term Frequency-Inverse Document Frequency (TF-IDF) and cosine similarity to classify incoming queries and retrieve relevant answers from a predefined knowledge base. Python, Django, PostgreSQL, Scikit-learn, and NLTK were used to implement the module. Testing was conducted using 50 sample queries, resulting in an accuracy of 90% based on confusion matrix evaluation. The system successfully retrieves appropriate responses for most frequent user issues. This design is expected to support organizations in streamlining their help desk operations and improving response time and consistency. Future developments may involve semantic matching and machine learning-based improvements to enhance understanding of unstructured queries.
HARNESSING AI-DRIVEN CONSUMER SEGMENTATION STRATEGIES TO ENHANCE SALES PERFORMANCE ON SHOPEE Rani Apriliani Aditya; Ari Purno Wahyu Wibowo; Patah Herwanto; Zeni Gustira; Fasya Islami Ramadhan
Jurnal Manajemen dan Bisnis Performa Vol. 23 No.2 (2026)
Publisher : UPT Publikasi Ilmiah UNISBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/performa.v23i2.10436

Abstract

Growing adoption of digital platforms has made Artificial Intelligence (AI) a central driver of competitive strategy in e-commerce. Despite this widespread use, studies that simultaneously evaluate AI’s contribution to consumer segmentation precision and sales outcomes remain scarce, especially within the Indonesian market. This research examines how AI shapes segmentation quality and, in turn, whether improved segmentation translates into stronger sales results on the Shopee platform. Using a quantitative-associative design, structured questionnaires were administered to 120 purposively selected active Shopee users. The data were processed through multiple linear regression, partial and simultaneous significance tests, goodness-of-fit measurement (R²), and mediation testing via path analysis (Hayes PROCESS macro, Model 4, with 5,000 bootstrap resamples) in SPSS. Findings confirm that AI adoption meaningfully enhances the precision of consumer grouping, and that well-executed segmentation in turn lifts sales outcomes. Beyond this indirect channel, AI also produces a statistically significant direct effect on sales performance. These results enrich the body of knowledge on technology-driven marketing and offer actionable direction for e-commerce managers seeking to harness AI as a lever for sharper targeting and sustained revenue growth.
Co-Authors Agung Rachmat Raharja Al-Husaini, Muhammad Albani Akbar Aminudin Ananta Billy Ocean Andhika Dwi Syahputra Bagus Alit Prasetyo Baramukti Dewayana Bayu Dwi Rizkyadha Putra Benny Yustim Bob Foster Candra Perdana Chaniago, M Benny Christopher Prananta Sembiring Dani Hamdani Diah Sri Rejeki Diany Dimas Naufal Hakiki Egi Abinowi Egi Abinowi Endang Amalia Fajar Sapta Ramadhan Faris Rai Fadhil Fasya Islami Ramadhan Feri Sulianta Gavin Haryanto Hutagalung Ghifari, Muhammad Al Gilang Gemilang Ramadhan Putra Gilang Pratama Putra Hafizh Cahaya Putra, Vito Haria Saputry Haria Saputry Wahyuni Helmy Faisal Muttaqin Herwan Rahmansyah Heryono, Heri Hesti Pratiwi Hilma Najya Ibnu Azhar Maulana Ignatius Oki Dewa Brata Ilham Dzulfiqar Almaarif Indra Aliyudin Indra Guna Noviantama Jumadil Saputra Kaffah Imanuddin M R Santosa Kanugrahan, Ghanim Khansa Nurul Andini Khevin Asyahda Luginawati, Syita M Benny Chaniago Merryam Agustine Merryam Agustine Merryam Agustine Mualwan, Rifqi Muhamad Rizky Fauzan Muhammad Aiman Abdul Hafizh Muhammad Arief Fahrizal Muhammad Benny Chaniago Muhammad Benny Chaniago Muhammad Fiqh Nurhidayat Muhammad Rais Fauzan Muhammad Rifky Saiful Qadr Muhammad Zacky Sudardjat Nashrullah, Naufal Nenden Aryani Goddess Oktafialfa, Geraldyo Patah Herwanto Putra, Bayu Dwi Rizkyadha Putra, Gilang Pratama Rahayu, Ria Sri Rani Apriliani Aditya Resti Dewi Sri Retno Paryati Reyta, Fitriani Ria Fatimah Setiawati Rian Andrivani Rian Pirnandi Turnip Rian Risnandar Herwandi Riky Arisandi Sadar Putra Sadeli Siti Mardiana Siti Mardiana Suhendri Sukenda Sukenda Sunjana, Sunjana Syita Luginawati Tanjung, Muhammad Ali Akbar Taufik Hidayat Tri Mur Fridayanto Ulil Surtia Zulpratita Umi Hayati Yan Puspitarani Yusuf, Revy Muhammad Zeni Gustira