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All Journal Kultivasi Jurnal Teknik Komputer AMIK BSI Paradigma Informatics for Educators and Professional : Journal of Informatics Information Management For Educators And Professionals (IMBI) JURNAL TEKNOLOGI DAN OPEN SOURCE Jurnal Riset Informatika JISICOM (Journal of Information System, Infomatics and Computing) Journal of Information System, Applied, Management, Accounting and Research Jurnal Informatika Kaputama (JIK) Akrab Juara : Jurnal Ilmu-ilmu Sosial Jurnal Sistem Informasi Jurnal Ekonomi Syariah Pelita Bangsa Abditeknika - Jurnal Pengabdian Kepada Masyarakat Computer Science (CO-SCIENCE) Simpatik: Jurnal sistem Informasi dan Informatika Profitabilitas Journal of Artificial Intelligence and Engineering Applications (JAIEA) Jurnal Pengabdian Pelitabangsa DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Jurnal Sistem Informasi dan Manajemen Journal of Artificial Intelligence and Technology Information Prawara Jurnal Pengabdian Masyarakat
Dian Ardiansyah
Universitas Bina Sarana Informatika
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Public Health Social Sciences Other

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Program Administrasi Persuratan Pada Desa Parakanmulya Kecamatan Tirtamulya Karawang Surtika Ayumida; Supriyatna; Ayumida, Surtika; Ardiansyah, Dian; Supriyatna, Ahmad
PROFITABILITAS Vol 2 No 2 (2022): JURNAL PROFITABILITAS
Publisher : Sistem Informasi Akuntansi Kampu Kabupaten Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/profitabilitas.v2i2.1717

Abstract

The development of information and communication technology at this time has accelerated and changed the pattern of human work to be faster, more effective and efficient. This progress encourages the restoration of the administrative service system in accordance with the development of information technology, so that the data management system runs better and safer. Thus the information system can assist in improving the quality of information and efficiency in public services. In Parakanmulya village, most of the correspondence services are still carried out conventionally, namely with word processing applications (Ms. Word), so the process takes longer, to document letter files is not well administered, errors often occur and even archives are lost due to the large number of archives . Seeing this situation, it is appropriate for the government to use the computer advancement side to support performance to be more efficient in order to improve services to the community by switching from a system that currently still uses bookkeeping media to a computerized information system.
Pemanfaatan ChatGPT untuk Meningkatkan Efisiensi Pengembangan Sistem Pemograman Akuntansi Penjualan Syamsul Azis, Mohammad; Walim; Ardiansyah, Dian; Yuliandari, Dewi; Lase, Mareanus
PROFITABILITAS Vol 5 No 1 (2025): JURNAL PROFITABILITAS
Publisher : Sistem Informasi Akuntansi Kampu Kabupaten Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/profitabilitas.v5i1.8270

Abstract

- Perkembangan teknologi yang pesat telah mendorong transformasi signifikan dalam pengembangan perangkat lunak, termasuk sistem pemrograman akuntansi penjualan. Efisiensi dan produktivitas menjadi faktor utama yang perlu dioptimalkan oleh para pengembang dalam merancang solusi perangkat lunak yang kompleks. Namun, tantangan seperti keterbatasan waktu, kesulitan dalam menulis kode yang efisien, dan minimnya bantuan teknis instan sering kali menghambat proses pengembangan. Penelitian ini bertujuan untuk mengeksplorasi pemanfaatan teknologi kecerdasan buatan (AI), khususnya ChatGPT, sebagai alat bantu dalam meningkatkan efisiensi pengembangan sistem pemrograman akuntansi penjualan. ChatGPT, sebagai model bahasa berbasis AI, mampu memberikan saran teknis, menghasilkan kode sesuai permintaan pengguna, serta mendukung komunikasi yang cepat dan responsif dalam proses pengembangan. Studi ini menganalisis peran ChatGPT dalam berbagai tahap pengembangan, mulai dari perencanaan, penulisan kode, debugging, hingga dokumentasi sistem. Selain itu, penelitian ini juga mengevaluasi dampak penggunaan ChatGPT terhadap peningkatan produktivitas, akurasi, dan kualitas hasil pengembangan program. Hasil penelitian diharapkan dapat memberikan wawasan yang lebih dalam mengenai integrasi teknologi AI dalam pengembangan sistem informasi, serta mendorong pemanfaatan ChatGPT secara optimal dalam pengembangan sistem akuntansi penjualan.
Enhancing Sentiment Classification Performance on Tentang Anak Application Reviews Using Optimized Support Vector Machine Riska Aryanti; Eka Fitriani; Royadi Royadi; Dian Ardiansyah
Journal of Artificial Intelligence and Technology Information (JAITI) Vol. 4 No. 2 (2026): Volume 4 Number 2 June 2026
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v4i2.271

Abstract

The increasing use of parenting and child development applications has generated a large volume of user reviews containing valuable insights regarding application quality, usability, and user satisfaction. One of the widely used applications in Indonesia is Tentang Anak: Kehamilan & Anak. However, manually analyzing these reviews is inefficient due to the large amount of unstructured textual data. Therefore, this study aims to enhance sentiment classification performance on user reviews of the Tentang Anak: Kehamilan & Anak application using an optimized Support Vector Machine (SVM) model. The dataset consisted of user reviews collected from application platforms, which were processed through several text preprocessing stages, including cleaning, normalization, tokenization, stopword removal, and stemming. Sentiment labeling was conducted using polarity scores to classify reviews into positive and negative sentiments. The proposed model was evaluated using different test size scenarios (0.1, 0.2, 0.3, and 0.4) and random state configurations to identify the optimal parameter setting. Experimental results demonstrate that the best performance was achieved at a test size of 0.1 with random state 0, obtaining an accuracy of 89.8%, precision of 91.7%, recall of 55.0%, and F1-score of 68.8%. The findings indicate that the optimized SVM model is effective in classifying sentiment in reviews of the Tentang Anak: Kehamilan & Anak application, particularly in achieving high precision and classification stability across multiple testing scenarios. Furthermore, the study highlights the importance of parameter optimization in improving sentiment analysis performance for user-generated textual data.
EVALUASI SISTEM IDENTIFIKASI GENDER BERDASARKAN NIK PADA PEMBELIAN TIKET ONLINE KERETA API INDONESIA (KAI ACCESS) Ilhan Mansyah; Mareanus Lase; Walim Walim; Dian Ardiansyah
Journal of Information System, Informatics and Computing Vol 10 No 1 (2026): JISICOM (June 2026)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisicom.v10i1.2191

Abstract

This study aims to evaluate the Usability level of the gender identification system based on the National Identification Number (NIK) in the KAI Access application used for online train ticket purchases. The system was developed by PT Kereta Api Indonesia (KAI) to enhance passenger comfort and safety through seat arrangement based on gender. This study employed a quantitative approach with the System Usability Scale (SUS) method. Data were collected from 100 KAI Access users through an online questionnaire. The results showed that the average SUS score was 76.18, classified as Category C (Okay), indicating that the system has good Usability and is acceptable to users. However, some respondents suggested improvements in system notifications and user guidance.
Analisis Sentimen Pengguna GoPay pada Layanan Keuangan Digital dengan Perbandingan Naïve Bayes dan SVM Dian Ardiansyah; Riska Aryanti; Eka Fitriani; Royadi
PROFITABILITAS Vol 5 No 2 (2025): JURNAL PROFITABILITAS
Publisher : Sistem Informasi Akuntansi Kampu Kabupaten Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/profitabilitas.v5i2.11513

Abstract

The rapid development of digital financial services has led to increased use of digital wallets, one of which is the GoPay application, resulting in a large volume of user reviews. These reviews contain valuable information regarding user satisfaction and service-related issues, making automated methods necessary to accurately analyze user sentiment. This study aims to analyze sentiment in GoPay user reviews and compare the performance of the Naïve Bayes and Support Vector Machine (SVM) algorithms for sentiment classification.This research uses a dataset of 132,393 GoPay user reviews obtained from the Kaggle platform. The data are labeled based on user ratings into three sentiment classes: positive, neutral, and negative. The research stages include text preprocessing, feature transformation using the Term Frequency–Inverse Document Frequency (TF-IDF) method, sentiment classification using the Naïve Bayes and SVM algorithms, and model performance evaluation using accuracy, precision, recall, and F1-score metrics.The results show that 79.2% of the reviews are classified as positive, 17.1% as negative, and 3.7% as neutral. Based on performance evaluation, the SVM algorithm demonstrates superior results with an accuracy of 90.65%, precision of 90.7%, recall of 90.65%, and F1-score of 89.05%, compared to Naïve Bayes, which achieves an accuracy of 87.89%, precision of 89.1%, recall of 87.89%, and F1-score of 88.42%. These findings indicate that SVM is a more optimal method for sentiment analysis of GoPay user reviews, while Naïve Bayes remains an efficient and competitive alternative for large-scale text classification.
Design and Construction of a Web-Based Outpatient Data Management Information System (Case Study: UPTD Puskesmas Cikampek) Dian Ardiansyah; Nung Hayati; Walim; Dewi Yuliandari; Supriatin; Mareanus Lase
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 2 (2025): February 2025
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i2.833

Abstract

The focus of this research is the design and development of an information system to manage outpatient data at the UPTD Cikampek Health Center which operates via the internet. The purpose of this system is to overcome the problem of inefficient manual recording at the cashier and to improve efficiency and accuracy in managing patient data. A prototype model is used in software development. This model includes steps such as needs analysis, system design, implementation, and testing. The results of this study are in the form of a web-based information system that includes login features, patient data management, payments, reports, and transaction history. It is expected that this system can help exchange information online throughout the scope of the Health Center, accelerate the distribution of reports, and facilitate the management of patient data. Therefore, this study offers an innovative and practical solution to managing health data at first-level health care facilities.
Co-Authors Ahmad Wahyudin Ahmad Wahyudin Alfiah, Mila Alif Rizqi Mulyawan Anne Nuraini Atang Saepudin Dede Nurrahman Deni Gunawan Dewi Yuliandari Diah Wijayanti Dwiza Riana Eka Chandra Ramdhani Eka Fitriani Erni Ermawati Erni Suminar Fajar Akbar Ferry Prasetyo Hariadi, Fadli Hasan Basri Hasan Basri Hasanudin Hasanudin Hasanudin Hermansyah, Yus Ilhan Mansyah Jajang Sauman Hamdani Mareanus Lase Mohammad Syamsul Azis Muhamad Tabrani Muhammad Tabrani Mulyawan, Alif Rizqi Nung Hayati Nur Maulidah Ramdhani, Eka Chandra Riska Aryanti robi sopandi Robi Sopandi Royadi - Royadi, Royadi SALMAN ALFARIZI Sani Ilham Suhardi Supriatin Supriatin Supriyatna Supriyatna, Ahmad Surtika Ayumida Surtika Ayumida Syamsul Azis, Mohammad Vian Alfiandi, Denny Walim Walim Walim Walim Widya Apriliah Zaenudin, Ridwan