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All Journal Techno.Com: Jurnal Teknologi Informasi EDUMATIC: Jurnal Pendidikan Informatika Progresif: Jurnal Ilmiah Komputer Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika International Journal of Informatics and Computation Jurnal Informatika Ekonomi Bisnis JATI (Jurnal Mahasiswa Teknik Informatika) Journal Automation Computer Information System (JACIS) Brilliance: Research of Artificial Intelligence Pelita Teknologi : Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB Joong-Ki : Jurnal Pengabdian Masyarakat Jurnal Informasi Sains dan Teknologi (ISAINTEK) SMART Management Journal STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer Indonesian Research Journal on Education Journal Of Informatics And Busisnes VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Jurnal Komputer dan Teknologi (JUKOMTEK) Jurnal Media Akademik (JMA) Joong-Ki Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Modem : Jurnal Informatika dan Sains Teknologi Repeater: Publikasi Teknik Informatika dan Jaringan SISFOTENIKA Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Expert Net: Exploration Journal of Technological Education Trends Joong-Ki Jurnal Rekayasa Teknologi Nusa Putra Jejak digital: Jurnal Ilmiah Multidisiplin Jurnal Cakrawala Akademika
Elkin Rilvani
Universitas Pelita Bangsa
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 Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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Journal : Journal Of Informatics And Busisnes

 1 
Systematic Literature Review: Profiling Mahasiswa Menggunakan Metode Decision Tree Aries Widyantoro; Fiqhy Faradisa Al Bina; Elkin Rilvani
Journal Of Informatics And Busisnes Vol. 3 No. 1 (2025): April - Juni
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v3i1.2819

Abstract

Abstract This study aims to systematically review the application of the Decision Tree method in student profiling activities using the Systematic Literature Review (SLR) approach. By analyzing 15 relevant scholarly articles, this research evaluates the techniques employed, the effectiveness of the Decision Tree method, and the most commonly used algorithms. The findings reveal that Decision Tree is one of the most widely used classification methods in education due to its ability to simplify decision-making processes and produce interpretable models. Algorithms such as ID3, C4.5, CART, and Random Forest are frequently applied in various studies, especially for academic performance prediction, dropout risk assessment, and student potential mapping. This study concludes that Decision Tree is an effective, efficient, and relevant method for supporting educational data analysis and evidence-based decision-making.
Analisis Sentimen Pada Twitter Mengenai Pemerintahan Prabowo-Gibran menggunakan metode Linear Regression Hizkia Vincent Hrenysa; Roana, Roana; Elkin Rilvani
Journal Of Informatics And Busisnes Vol. 3 No. 2 (2025): Juli - September
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v3i2.3241

Abstract

This study aims to evaluate the performance of a linear regression model in analyzing sentiment in text data in the form of tweets. The dataset used consists of tweets that have undergone text preprocessing, such as removing URLs, mentions, symbols, and numbers, as well as stemming and tokenization. The purpose of this preprocessing is to improve the quality of the feature representation in the form of TF-IDF, which is used as model input. The evaluation was conducted by comparing the model's performance on raw and cleaned data. The evaluation results show that the linear regression model has a Mean Squared Error (MSE) of 0.1597 and an R² Score of -1.2884, indicating that the model is unable to effectively explain data variability. Visualization of the comparison between predicted and actual scores reinforces this finding, indicating that the model struggles to capture the nuances of informal language, irony, and emotional context in tweets. In conclusion, linear regression is not an ideal approach for text-based sentiment analysis, and the use of contextual representation methods such as word embedding or BERT, along with non-linear predictive models, is recommended for more accurate and relevant results.
Implementasi Data Mining dengan Metode K-Means dan FCM untuk Analisis Pola Pembelian Konsumen Online Rio Rinto Saki; Rizky Juniarko Taruna Putra; Elkin Rilvani
Journal Of Informatics And Busisnes Vol. 3 No. 2 (2025): Juli - September
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v3i2.3106

Abstract

This study explores the implementation of data mining techniques using K-Means and Fuzzy C-Means (FCM) clustering methods to analyze online customer purchasing patterns. The focus of the analysis lies in identifying similarities and segmenting customers based on their transaction behaviors. By using datasets collected from e-commerce platforms during the 2022–2023 period, the study evaluates the effectiveness of each algorithm in discovering meaningful clusters. The results indicate that both methods can group consumers based on purchasing trends, with FCM offering better flexibility due to its fuzzy membership assignment. This clustering approach can support decision-making in targeted marketing, product recommendations, and customer relationship management.
Sentiment Analysis of TikTok User Reviews on Google Playstore Using Naïve Bayes Methods Prakoso, Indra; Andhika Aziz Bachtiar; Elkin Rilvani
Journal Of Informatics And Busisnes Vol. 3 No. 2 (2025): Juli - September
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v3i2.3297

Abstract

interactions, one of which is TikTok. The TikTok platform has become a global phenomenon favored by many, especially the younger generation. As the number of users increases, reviews on digital platforms such as the Google Play Store become an important source for understanding users' perceptions of the application. Therefore, a deep understanding of user sentiment toward TikTok is essential for better app development and effective marketing strategies. To analyze TikTok user sentiment, this study employs two well-established computational methods: Support Vector Machine (SVM) and Naïve Bayes. These methods are used to classify user reviews into positive or negative sentiment categories. The approach involves several stages, including data collection, data preprocessing, data splitting, sentiment classification, and model evaluation. The study shows that the SVM model achieved an accuracy of 88.76% with an AUC of 92.61%, outperforming Naïve Bayes, which achieved an accuracy of 84.27% and an AUC of 92.57%. In the positive sentiment category, SVM recorded a precision of 90.74% and a recall of 95.15%, while Naïve Bayes yielded a precision of 83.61% and an almost perfect recall of 99.03%. For negative sentiment, SVM showed a precision of 80.39% and recall of 67.21%, whereas Naïve Bayes had a higher precision of 91.30% but a lower recall of 34.43%, with a lower F1-score of 50%.
Co-Authors Abdul Rokim Abid Lu’ay Raihan Taufik Agung Nugroho Ahmad Budi Trisnawan Ahmad Turmudi Zy Al Ayubi, Muhammad Din Aldi Patria Nugraha Alfian Saputra, Ricky Alfiana Erlangga, Dafa Alif Nur Fathlii Amarta Amar Agung Subekti An-nisa Fitriani Andhika Aziz Bachtiar Andi Setyawan Anindha Latiefa Zahra Apik Aminah Aries Widyantoro ARIF SUSILO Arif Susilo Arya Saepul Hakim Asep Muhidin Asep Saepuloh Baehaqi Bagoes Ramadhan Baihaqi Asa’ari Lubis Bayu Nugroho Butsianto, Sufajar Candra Naya Catur Pranomo Dimas Adi Nugraha Dina Amalia Putri Diska Kurnia Azzahra Putra Dito Ridwansyah, Rizjky Dzaky Alaudin Malik Edi Tri Wibowo Edora Erikasari, Vivie Zuliani Ermanto Ermanto Ermanto Fachrial Banyu Asmoro Fadhlurohman Fatikh Navintino Faiza Muhammad Julianto Faqih Irianto Fazri Albadawi Fiqhy Faradisa Al Bina Fitakwim Fitakwim Galih Pangestu Gilar Sumilar Hadi Putra Hardiansyah, Andi Henri Caesar Bimantara Hilman Ihza Amrullah Hizkia Vincent Hrenysa Ikhsan Romli Indry Widiyani Khaerunnisa Isnaeni Lestari Khairunnisa Nasution Lili Fadli Muhamad Ma'ruf Setiadi2 Maharani , Tyanshi Firli Mikael Rivaldo Mochammad Rahmat Faisal Muhamad Daffa Maulana Arrasyid Muhamad Fatchan Muhammad Akmal Ar Rasid Muhammad Albedri MUHAMMAD ARIFIN Muhammad Farhan Fahreza Muhammad Nur Falah Muhammad Rifki Febrianto Muhammad Rizal Mantofani Muhammad Rizky Raka muhidin, asep Muhtajuddin Danny Nabilla Kusuma Wijaya Naya, Candra Naza Sefti Prianita Novant Nanda Pradana Novianto Andi Hardiansyah Nugroho, Agung Nur Hasim Nur Hidayati Nurkholik Safrudin Ovi Marzuki Panji Anwar Sanusi Pardede, Debora Hizkhia Prakoso, Indra Priasnyomo Prima Santoso Putra, Aan Fadillah Rafi Maulana Firdaus Ramadhan Ardi Iman Prakoso Rio Rinto Saki Rizki Fahrizal Rizky Juniarko Taruna Putra Roana, Roana Sela, Mosses Ara’al De Setyawan, Wisnu Shanti Cahyaningtyas Sifa Setiyani Silvi Fara Dita Siswandi, Arif Siti Yasmin Nurcholifah Sukmana Wibowo, Mohamad Hegar Surojudin, Nurhadi Suryadi Putra Suryadi, Dikky Suryana, Syahro Tatia Deswita Anggraeni Taufik Eka Albani Tia Mulyani umah, Nadia tul Weni Purnomo1 Widodo , Edy Wisnu Ikhwansyah Saputra Wisnu Setyawan Yoga Pratama, Evan Yudanto, Faisal Arya Yudha Purnama Putra Zacky Rafian Fawwauzy Zalfa Dewi Zahrani