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All Journal TEKNIK INFORMATIKA ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Proceeding of the Electrical Engineering Computer Science and Informatics JOIN (Jurnal Online Informatika) Jurnal Teknik Komputer AMIK BSI JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Teknoinfo JUMANJI (Jurnal Masyarakat Informatika Unjani) MIND (Multimedia Artificial Intelligent Networking Database) Journal Jurnal ICT : Information Communication & Technology Building of Informatics, Technology and Science Technologia: Jurnal Ilmiah Jurnal Informatika dan Rekayasa Elektronik Innovation in Research of Informatics (INNOVATICS) Jurnal Teknik Informatika (JUTIF) Informatics and Digital Expert (INDEX) Journal of Informatics and Communication Technology (JICT) Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Algoritma Industrial Research Workshop and National Seminar SisInfo : Jurnal Sistem Informasi dan Informatika IJESPG (International Journal of Engineering, Economic, Social Politic and Government) journal Riwayat: Educational Journal of History and Humanities Journal of Informatics and Communication Technology (JICT) Jurnal Komputasi
Kasyidi, Fatan
Program Studi Teknik Informatika, Universitas Jenderal Achmad Yani, Cimahi
Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Social Sciences Other

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SAER : Comparison of Rule Prediction Algorithms on Constructing a Corpus for Taxation Related Tweet Aspect-Based Sentiment Analysis Sopian, Annisa Mufidah; Ilyas, Ridwan; Kasyidi, Fatan; Hadiana, Asep Id
JOIN (Jurnal Online Informatika) Vol 9 No 1 (2024)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v9i1.1275

Abstract

Twitter is a popular social media in Indonesia, and sentiment analysis on Twitter has an important role in measuring public trust, especially in taxation issues. Aspect extraction is an important task in sentiment analysis. In this research, we propose SAER, a Syntactic Aspect-opinion Extraction and Rule prediction, that used language rule-based approach using syntactic features for aspect and opinion extraction, and we compare several algorithm for rule prediction such as Random Forest Regression, Decision Tree Regression, K-Nearest Neighbor Regression (KNN), Linear Regression, Support Vector Regression (SVR), and Extreme Gradient Boosting Regression (XGBoost) that can generate rules with a tree-based approach. By employing syntactic features and rule prediction, it has been able to explore important features in a sentence. In rule prediction, comparison results show that Support Vector Regression (SVR) was identified as the most effective model for aspects rule prediction, providing the best results with a Mean Squared Error (MSE) of 0.022, Root Mean Squared Error (RMSE) of 0.150, and Mean Absolute Error (MAE) of 0.123. While XGBoost was identified as the most effective model for opinions rule prediction, with MSE of 0.013, RMSE of 0.117, and MAE of 0.075. Since we used syntactic feature-based approaches and rule prediction in this work, it is expected to be implemented for other cases, with other domain datasets.
GAME DESIGN EDUKASI PENGENALAN WISATA CIANJUR MENGGUNAKAN METODE MECHANICS DYNAMICS AESTHETICS Muhammad Aditya Putra; Agus Komarudin; Fatan Kasyidi
Jurnal Komputasi Vol. 12 No. 1 (2024): Jurnal Komputasi
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v12i1.252

Abstract

The development of educational games plays a crucial role as a means to introduce interesting tourist destinations in the era of technological advancement. In this research, the development of an educational game named "Cianjur Adventure" was conducted with the aim of introducing tourist attractions in Cianjur. The development of this game utilized the Mechanic Dynamics Aesthetics (MDA) Framework. The MDA Framework consists of three main components: mechanics, dynamics, and aesthetics. Mechanics represent specific rules or algorithms that guide the interaction between players and the game. Dynamics emerge as a result of these interactions, while aesthetics encompass the responses and experiences felt by the player. To assess the performance of this game, playtesting was conducted. The results of the testing indicate that the "Cianjur Adventure" game functions well and has successfully achieved its primary goal, which is to provide information related to tourism in Cianjur. By using this game, players can experience an engaging adventure and gain deeper knowledge about tourist destinations in Cianjur.
Penilaian Otomatis Jawaban Esai SMA Menggunakan Sentence-BERT dan Hybrid Levenshtein-Jaccard dengan Akurasi Hybrid Timoti Michael Sitorus; Edvin Ramadhan; Fatan Kasyidi
Jurnal Algoritma Vol 23 No 1 (2026): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.23-1.3141

Abstract

Essay assessment remains a persistent challenge in many schools due to the time-consuming nature of manual grading and the variability that arises from assessor subjectivity. This situation highlights the need for an automated scoring system capable of producing fast, consistent, and teacher-comparable evaluations. This study proposes a hybrid approach for automatic essay scoring by combining semantic similarity from Sentence-BERT with lexical features derived from Jaccard Similarity, Levenshtein Similarity, Keyword Coverage, and Length Penalty. The five similarity components are integrated using a weighted aggregation scheme and calibrated to the 0–100 scoring scale through linear regression. The model was tested on a dataset of high-school essay responses accompanied by manual teacher scores. Experimental results indicate that the proposed system performs reliably, achieving a Mean Absolute Error (MAE) of 3.58 and a Root Mean Square Error (RMSE) of 4.48 on the test set. The model also demonstrates strong practical alignment with teacher scoring, reaching an agreement rate of 87.30% within a tolerance of ±7 points. These findings suggest that the hybrid method can approximate human scoring patterns with a high degree of consistency, providing a promising tool to support objective and efficient assessment processes in educational settings.
PREDIKSI PENDAPATAN PADA MITRA TOKO PARFUME TRENDS MENGGUNAKAN METODE VECTOR AUTOREGRESSIVE INTEGRETED MOVING AVERAGE (VARIMA) Hira Nur Afifah; Wina Witanti; Fatan Kasyidi
Technologia : Jurnal Ilmiah Vol 15 No 3 (2024): Technologia (Juli)
Publisher : Fakultas Teknologi Informasi, Universitas Islam Kalimantan Muhammad Arsyad Al Banjari, di bawah koordinasi UPT Publikasi dan Pengelolaan Jurnal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31602/tji.v15i3.15352

Abstract

Penelitian ini bertujuan untuk memprediksi pendapatan pada mitra Toko Parfume Trends menggunakan metode Vector Autoregressive Integrated Moving Average (VARIMA). Metode VARIMA dipilih karena kemampuannya dalam menganalisis dan meramalkan data deret waktu multivariat, serta menangkap berbagai pola dalam data, termasuk tren musiman dan hubungan antar variabel. Data yang digunakan adalah data sekunder dari Toko Parfume Trends, mencakup periode Januari 2021 hingga Juni 2024. Analisis kestasioneran data dilakukan menggunakan uji Augmented Dickey-Fuller (ADF), dan model dievaluasi berdasarkan Mean Absolute Percentage Error (MAPE). Hasil penelitian menunjukkan bahwa model VARIMA efektif dalam memprediksi pendapatan dengan nilai MAPE sebesar 0.3997. Temuan ini diharapkan dapat membantu mitra Toko Parfume Trends dalam merancang strategi bisnis yang lebih efektif dan mengoptimalkan pengelolaan risiko serta peluang pasar.
Co-Authors Ade Kania Ningsih Ade Kania Ningsih Afifah, Hira Nur AGIEL FADILLAH HERMAWAN Agung Besti Agya Java Maulidin Aldi Sidik Permana Anbiya, Dhika Rizki Anggoro, Sigit Anshori, Siddiq Ahmad Armandika, Fladio Besti, Agung Djamal, Esmeralda Contesa Djuniardi Suhardinata Dwifani, Bella Melati Wiranur Eddie Khrisna Putra Edvin Ramadhan Erna Sesarliana* Esmeralda Contessa Djamal Faiza Renaldi Fajri Rakhmat Umbara fery bayu aji Fikri Nugraha FIQRI FAKHRUL GUNAWAN Fladio Armandika Hadiana, Asep Id Hira Nur Afifah Insan Kamil Nurhikmat Irma Santikarama Janjan Nurjaman Komarudin, Agus Kukuh Yulion Setia Prakoso LIONITAMA, VENA MEILINDA Maulidina Norick Eriyadi Melina Melina Muhamad Rizal Firmansyah Muhammad Aditya Putra NIDA MUTHI ANNISA Nugraha, Fikri Nur Shabrina, Nariswari Nurrokhimah, Siti Oktariansyah, Indro Abri Permana, Acep Handika Permana, Aldi Sidik Puspita Nurul Sabrina Rafli Firdaus Rey Aji Darusalam Reza Dwi Putra Rezky Yuniarti Ridwan Ilyas Rizky Ryan Dwi Yudistira Seffiera Fauziah SENJAWATI, RINDU TEGAR Sopian, Annisa Mufidah Sukma, Rifaz Muhammad Szalfa Saadiatus Sakinah Timoti Michael Sitorus Wildan Pratama Wina Witanti Wina Witanti Yasmina Azzahra Yoga Esa Mahendra Yulison Herry Chrisnanto Yustiana Fauziyah