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All Journal Jurnal Informatika dan Teknik Elektro Terapan Jurnal Informatika KOPERTIP: Jurnal Ilmiah Manajemen Informatika dan Komputer Angkasa: Jurnal Ilmiah Bidang Teknologi Jurnal Informasi dan Komputer Indonesian Journal of Applied Informatics JUTIS : Jurnal Teknik Informatika Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Accounting Information System (AIMS) JURSIMA (Jurnal Sistem Informasi dan Manajemen) JATI (Jurnal Mahasiswa Teknik Informatika) ICIT (Innovative Creative and Information Technology) Journal E-Link: Jurnal Teknik Elektro dan Informatika Jurnal Riset Sistem Informasi dan Teknologi Informasi (JURSISTEKNI) MEANS (Media Informasi Analisa dan Sistem) Tematik : Jurnal Teknologi Informasi Komunikasi Jurnal Teknik Informatika (JUTIF) Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Jurnal Mahasiswa Sistem Informasi (JMSI) Instal : Jurnal Komputer Jurnal Pengabdian kepada Masyarakat Wahana Usada Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Journal of Artificial Intelligence and Engineering Applications (JAIEA) JURSIMA BULLET : Jurnal Multidisiplin Ilmu AMMA : Jurnal Pengabdian Masyarakat Jurnal Sistem Informasi dan Manajemen Jurnal Accounting Information System (AIMS) Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Jurnal Inovasi dan Teknologi Pendidikan SISFOTENIKA Informasi interaktif : jurnal informatika dan teknologi informasi Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Informatika
Tati Suprapti
STMIK IKMI Cirebon
Humanities Automotive Engineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Social Sciences Other

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Sentiment Analysis of “Cek Bansos” Application Reviews on Google Play Store Using the Naïve Bayes Algorithm Aini, NoviFirda; Nurdiawan, Odi; Suprapti, Tati; Dikananda, Arif Rinaldi; Fathurrohman
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 2 (2026): February 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i2.1883

Abstract

The rapid development of digital public services requires a deeper understanding of user perceptions and experiences regarding government applications, including Cek Bansos. This study aims to identify the polarity of user reviews by applying the Multinomial Naïve Bayes algorithm to review data collected from the Google Play Store. The methodology includes text preprocessing, sentiment labeling, feature extraction using TF–IDF, and model training and evaluation based on accuracy, precision, recall, and F1-score. The results show that the model achieves an accuracy of 79.5%, with very high performance in the negative class (recall 0.97) but poor performance in the neutral class due to data imbalance. The dominance of negative sentiment in the dataset indicates that users face significant technical difficulties, particularly in registration, verification, and service access. These findings demonstrate that Multinomial Naïve Bayes is effective as a baseline model for sentiment analysis; however, improving data balance and quality is necessary to produce a more stable, accurate, and representative model for evaluating digital public services.
OPTIMASI NILAI DAVIES BOULDIN INDEX PADA PROGRAM PENDAFTARAN TANAH SISTEMATIS LENGKAP (PTSL) MENGGUNAKAN ALGORITMA K-MEANS DAN PCA Muhammad Hilmy Naufan; Rudi Kurniawan; Tati Suprapti
E-Link: Jurnal Teknik Elektro dan Informatika Vol. 20 No. 1: Mei 2025
Publisher : Universitas Muhammadiyah Gresik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30587/e-link.v20i1.9063

Abstract

Penelitian ini bertujuan mengoptimalkan proses clustering data program Pendaftaran Tanah Sistematis Lengkap (PTSL) dengan mengimplementasikan algoritma K-Means yang dikombinasikan dengan Principal Component Analysis (PCA) dan mengevaluasi hasilnya menggunakan Davies Bouldin Index (DBI). Dalam metode penelitian yang diterapkan meliputi pengumpulan data dari Desa Bandorasawetan, Kecamatan Cilimus, Kabupaten Kuningan, pemilihan data, transformasi data, data mining, dan interpretasi/evaluasi. Hasil penelitian menunjukkan bahwa klaster yang optimal dicapai pada K = 5 dengan pendekatan Fixed Number menggunakan 1 Number of Components yang mempertahankan atribut NJOP Bangunan. Atribut ini memiliki distribusi yang lebih terpusat dalam satu cluster dalam arti memiliki pola yang konsisten, dengan nilai DBI sebesar 0.049, memiliki kinerja lebih baik dibandingkan K-Means tanpa PCA dengan DBI mencapai 0.466. Dari total 5 klaster yang terbentuk, cluster terbaik yang teridentifikasi berdasarkan hasil selisih rata-rata antara avg. within centroid distance dan avg. within centroid distance_cluster yaitu cluster 0, karena memiliki jarak terdekat dengan komponen utama (PC1) sebesar 128918767.1. Studi ini diharapkan dapat meningkatkan kualitas dalam pengelolaan data pertanahan agar menjadi lebih efektif.
Optimizing Sentiment Analysis on the Linux Desktop Using N-Gram Features Hidayat, Muhamad Taufiq; Kurniawan, Rudi; Suprapti, Tati
Jurnal Informatika Vol. 12 No. 1 (2025): April
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/informatika.v12i1.12255

Abstract

Linux, or GNU/Linux, is a widely used open-source operating system built on the Linux kernel that is available for anyone to use, known for its security and privacy advantages. With advancements in information technology, protecting privacy has become increasingly challenging due to data extraction practices done by major tech companies. This has encouraged some Mastodon users to switch to Linux, with many expressing their opinions on using Linux as their main operating system. This research seeks to analyze the sentiments of Mastodon users toward Linux through sentiment analysis to understand whether the trend is predominantly positive, negative, or neutral. The methodology used includes collecting data with the help of the Mastodon.py library which then gets manually labelled with the assistance of a linguistic expert as well as a linguistic rule proposed by previous research. The text mining process includes preprocessing steps which includes feature extraction with n-Gram to gain the most optimized result as well as employing feature selection using TF-IDF. The Naïve Bayes algorithm is employed for text classification. The entire process of data analysis is conducted with the help of AI Studio (RapidMiner) software. The results show that the highest-performing model for sentiment analysis is achieved with an n-gram value of 3, revealing user sentiment polarity towards Linux on Mastodon as follows: 42% positive, 28% negative, and 30% neutral. The sentiment analysis model has an accuracy of 63%, with a precision of 70%, recall of 80%, and an f1-score of 74% which shows that this method is able to optimize the sentiment analysis process. 
Transformasi Digital Umkm Sebagai Strategi Inovasi Dan Peningkatan Daya Saing Di Era Industri 4.0 Rudi Kurniawan; Tati Suprapti; Achmad Fikri; Aditia
AMMA : Jurnal Pengabdian Masyarakat Vol. 3 No. 4 : Mei (2024): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Micro, Small and Medium Enterprises (MSMEs) play a crucial role in the local economy, but often face challenges in marketing and financial management. Lack of knowledge and skills in marketing strategies and accounting leads to limited market reach and lack of efficiency in business management. This research aims to empower MSMEs through digital transformation to increase innovation and competitiveness in the industry 4.0 era. The methods used in this research include training on digital marketing and technology-based accounting systems for MSME players in Tarikolot District. The results show that the application of digital technology, such as online marketing and the use of accounting applications, can improve business efficiency and expand the MSME market. With digital transformation, MSMEs are more adaptive to changing market trends and able to compete with larger businesses. This study confirms that support in the form of education and technology implementation is essential to sustainably improve the competitiveness of MSMEs.
Peningkatan Kompetensi Digital Pengurus Koperasi Melalui Pelatihan Operator Komputer Madya Tati Suprapti; Cep Lukman Rohmat; Ahmad Muhaimin; Ai Sri Nurmala
AMMA : Jurnal Pengabdian Masyarakat Vol. 3 No. 4 : Mei (2024): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

The Intermediate Computer Operator Training is a program designed to improve the digital competence of cooperative administrators in facing the challenges of the digitalization era. The program aims to provide an in-depth understanding of the use of office software, data management, and digital applications relevant to cooperative operations. The training method includes interactive theoretical and practical sessions to improve participants' skills in operating computers and managing information effectively. The results of the training showed a significant increase in participants' understanding of digital technology. In addition, the training also had a positive impact on the efficiency of the cooperative board's work in administrative and financial management. Evaluations conducted through tests and questionnaires showed that most participants felt more confident in using computers and supporting software after attending the training. In the era of digital transformation, increasing digital literacy for cooperative boards is an urgent need to improve the competitiveness and sustainability of cooperative businesses. With this training, it is expected that cooperatives can be more adaptive to technological developments and be able to take advantage of digitalization to increase productivity and transparency in business management.
Pelatihan Keamanan Siber Dasar Untuk Pelajar Dan Guru Di Sekolah Menengah Tati Suprapti; Umi Hayati; Alwan Azhar; Andi Ardiansyah
AMMA : Jurnal Pengabdian Masyarakat Vol. 2 No. 4 (2023): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Cybersecurity is an effort that aims to protect computer systems, networks, software, and data from various digital threats such as hacking, malware, phishing, ransomware, and other attacks that can cause both material and non-material losses. In the rapidly growing digital era, especially in educational environments such as secondary schools, awareness of the importance of cybersecurity is crucial. Students and teachers who use digital devices in the teaching and learning process are often easy targets for cyber criminals who are looking for loopholes to exploit security vulnerabilities. A basic understanding of cybersecurity needs to be instilled in students and teachers so that they can identify potential threats and implement appropriate preventive measures. This article aims to provide practical guidance in recognizing common types of cyber threats, such as phishing attacks that masquerade as legitimate sites or messages, malware that infiltrates through infected software, and ransomware attacks that encrypt data for ransom. In addition, the article also outlines a number of prevention strategies that students and teachers can implement, including the use of strong passwords, regular software updates, and managing privacy on social media. By understanding the basic concepts of cybersecurity and adopting best practices in protecting digital data and devices, it is hoped that students and teachers can reduce the risks that may arise from unsafe digital activities. Furthermore, effective cybersecurity implementation can create a safer and more conducive learning environment for all parties involved.
Digitalisasi Administrasi Desa Melalui Pelatihan Pengelolaan Data Berbasis Sistem Informasi Yudhistira Arie Wijaya; Tati Suprapti; Athaullah Abrar Bayan; Beby Maryam
AMMA : Jurnal Pengabdian Masyarakat Vol. 2 No. 4 (2023): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

The rapid development of information technology has encouraged educational institutions and village government institutions to improve the efficiency of administrative services, one of which is in terms of recording attendance. This research aims to develop a QR Code-based attendance system implemented for schools and village institutions as a solution to the manual attendance system that is still vulnerable to fraud and inefficiency. The system development method used is the waterfall method which includes the stages of needs analysis, system design, implementation, testing, and maintenance. This system is designed using PHP programming language and MySQL database, and integrated with QR Code technology that allows users to scan through mobile devices. The test results show that this system is able to record attendance in real-time, generate reports automatically, and improve the accuracy and efficiency of the attendance process. Users also responded positively to the system's simple and easy-to-use interface. With this system, educational institutions and villages can manage attendance data more effectively and transparently. In conclusion, this QR Code-based attendance system is a relevant and applicable innovation in supporting administrative digitization at the local level. This research is expected to be a reference for the development of similar systems in other environments.
Peningkatan Kompetensi Guru melalui Pelatihan Google Workspace dalam Pembelajaran Digital Tati Suprapti; Umi Hayati; Abdul Hakim; Abdul Mukhyidin
AMMA : Jurnal Pengabdian Masyarakat Vol. 1 No. 04 (2022): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

The development of information and communication technology (ICT) requires the world of education to adapt, especially in the learning process. Teachers as the frontline in education must have competence in utilizing ICT, one of which is through the use of Google Workspace. This study aims to improve teachers' competence in utilizing Google Workspace through training activities. The method used is training with a participatory approach and hands-on practice. This activity was carried out in the form of workshops attended by teachers from various levels of education, focusing on the utilization of Google applications such as Google Classroom, Google Drive, Google Docs, and Google Meet. The results of the activity show an increase in teachers' understanding and skills in operating Google Workspace, which has an impact on increasing the effectiveness of online and offline learning. This training also encourages teachers to be more creative in preparing teaching materials, managing digital classes, and building better interactions with students. The conclusion of this activity is that training on the use of Google Workspace is effective in improving teacher competence in the use of learning technology. It is expected that similar activities can be carried out in a sustainable manner to support digital transformation in education.
PENINGKATAN AKURASI KLASIFIKASI KEMATANGAN KELAPA SAWIT BERBASIS CITRA DENGAN ENSEMBLE DEEP LEARNING TEROPTIMASI DIMENSI RASIO Ahmad Rifai Ikhsanudin; Dian Ade Kurnia; Yudhistira Arie Wijaya; Dodi Solihudin; Tati Suprapti
Jurnal Mahasiswa Sistem Informasi (JMSI) Vol. 7 No. 2 (2026): Jurnal Mahasiswa Sistem Informasi (JMSI)
Publisher : Program Studi DIII Sistem Informasi - Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/jmsi.v7i2.11181

Abstract

Penentuan tingkat kematangan buah kelapa sawit secara manual sering menimbulkan subjektivitas dan menurunkan efisiensi. Penelitian ini mengembangkan metode klasifikasi berbasis citra menggunakan ensemble averaging pada tiga arsitektur MobileNetV2 dengan ukuran input berbeda (224×224, 224×300, dan 300×300) untuk mengurangi varians prediksi akibat variasi dimensi dan rasio aspek citra. Dataset yang digunakan berasal dari Kaggle berjumlah 1.380 citra, dengan pembagian 80% data latih dan 20% data validasi. Proses pengolahan mencakup rescaling, aspect-ratio-aware resizing, augmentasi, serta pelatihan menggunakan transfer learning dengan optimizer Adam dan early stopping. Hasil menunjukkan bahwa model berukuran 300×300 memberikan performa terbaik dengan akurasi 95,22% dan F1-score 0,9523. Ensemble averaging menghasilkan akurasi 94,71% dan F1-score 0,9475, yang meskipun sedikit lebih rendah dari model terbaik, memberikan stabilitas prediksi yang lebih baik dibanding model individual. Temuan ini menunjukkan bahwa resolusi input yang lebih tinggi meningkatkan kualitas ekstraksi fitur, sementara ensemble averaging tetap efektif dalam mereduksi varians dan meningkatkan ketahanan sistem klasifikasi di kondisi lapangan.
The Optimization of Learning Media Through Augmented Reality to Improve Student Learning Comprehension Saeful Anwar; Tati Suprapti; Yoga Nugraha; Arif Rinaldi Dikananda
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 18, No 2 (2026): Mei
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/angkasa.v18i2.3869

Abstract

This study presents the development and evaluation of an Augmented Reality (AR) based learning media optimized to enhance students’ comprehension of camera architecture concepts. The AR system was developed using Unity 3D integrated with Vuforia SDK, implementing a marker-based AR approach to ensure stability and compatibility with limited mobile device specifications. The system architecture consists of a mobile AR client, image-marker recognition module, 3D visualization engine, and learning interaction layer designed based on multimedia learning principles and cognitive load theory. A five-stage development framework was employed: planning, material collection, assembly, implementation, and evaluation. The AR media was applied in an undergraduate informatics course involving 30 students, using a one-group pretest–posttest design. Learning outcomes were analyzed using paired t-tests, Wilcoxon tests, normalized gain, and effect size measurements. Results show significant improvements across all cognitive dimensions (p < 0.001), with very large effect sizes (dz = 3.13) and a moderate normalized gain (g = 0.42). The findings indicate that AR provides strong practical impact on higher-order cognitive skills, particularly application and analysis, while highlighting limitations related to measurement instrument validity, absence of a control group, and limited sample generalizability, which will be addressed in future research through experimental comparison and extended system performance testing.
Co-Authors Abdul Hakim Abdul Mukhyidin Achmad Fikri Achmad Suharno Adam Firmansyah Ade Irma Purnamasari Ade Irma Purnamasari Ade Rizki Rinaldi Aditia agus bahtiar Ahmad Faqih Ahmad Faqih Ahmad Muhaimin Ahmad Rifai Ikhsanudin Ai Sri Nurmala Aini, NoviFirda Aldi Setiawan Ali Ali Alpian Novansyah, Indi Alwan Azhar Amaliah, Novi Andi Ardiansyah Andri Yanto Apriliani, Yuni Aribah, Firyal Arif Rinaldi Dikananda Arif Rinaldi Dikananda ASEP SAEFUDDIN Athaullah Abrar Bayan Auliya Bani Nurhakim Beby Maryam Camelia Putri Lestari Cep Lukman Rohmat Christian Anderson Wint's II, Hans Dadang Sudrajat Dana, Raditya dana Darussalam, Luthvi Nurfauzi Dayanti, Resda Dian Ade Kurnia Dian Ade Kurnia Dikananda, Arif Rinaldi Dodi Solihin Dodi Solihudin Doni Anggara Dwi Prasetyo Elsha, Dwi Fathurrohman, Fathurrohman Faujatun Hasanah Fazrian, Vivi Feri Irawan Irawan Fitri Adha Hariyati Airi Fitriani Agustina Fitriani Fitriani Gifthera Dwilestari Gifthera Dwilestari Gilang Perwati, Intan Gilang Ramadhan Gustiani Regina Pratama Putri Gustino, Gustino Habiballoh, Hafshoh Hadianti, Isan Hafshoh Habiballoh Hajaroh, Hajaroh Hartati Hartati Hendriyansyah, Hendriyansyah Hidayat, Manarul Hidayat, Muhamad Taufiq Hidayat, Peri Husni Mubarok Ilham Kurniawan Imam Arifin imam maulana, imam Indrawan, Heru Irfan Ali Irma Purnamasari, Ade Kaslani Khoirunisa, Irma Lestari, Hasanah Mahda, Muhammad Manarul Hidayat Martanto . Muhamad Basysyar, Fadhil Muhammad Hilmy Naufan Mulyawan Nana Siti Nurjanah Narasati, Riri Narasati Nining Rahaningsih Nur Amalia Nurhakim, Bani Nurmala, Sri Odi Nurdiawan Pratiwi, Intan Purnamasari, Ade Irma PUTRI EKA SARI, PUTRI EKA Raditya Danar Dana Rananda Deva Rian Raudotul Janah, Fina Rini Astuti Rini Astuti Riri Narasati Rizki Ani, Fitri Roni Saputra, Roni Rosdiana Rosdiana Rudi Kurniawan Rudi Kurniawan Rudi Kurniawan Ruli Herdiana Ryan Hmonangan Saeful Anwar Saeful Anwar, Saeful Sajidan, Dzikri Santi Nurjulaiha Shalihah, Ghina Shinta Virgiana Silalahi, Ryan H Siti Aisah, Iis siti azhar Solihudin, Dodi Suarna, Nana Suharno, Achmad Sukma Maula, Intan Syahputra Simbolon, Vrendi Amro Syajida, Hanna Syaripah, Imas Tegar Lazuardi, Muhammad Tengku Riza Zarzani N Tohidi, Edi Tri Aditama Tri Gustiane, Indri Umi Hayati Utami Aryanti Vinna Agustina Wahyudin, Edi Warni Ayu Hermina, Bintang Widiawati, Fitri Widisa Adi Kumara Wijaya, Yudhitira Arie Willy Prihartono Yoga Nugraha Yudhistira Arie Wijaya Yufita, Ayura Yusuf Sidiq, Yusuf Sidiq Zaki Nur Rahmat Hidayat Zulfa Hana Aqliyah