Article Per Year (5 Year)
p-Index From 2021 - 2026
11.564
P-Index
This Author published in this journals
All Journal Jurnal Informatika dan Teknik Elektro Terapan Jurnal Informatika KOPERTIP: Jurnal Ilmiah Manajemen Informatika dan Komputer Angkasa: Jurnal Ilmiah Bidang Teknologi Pelita : Jurnal Penelitian dan Karya Ilmiah Jurnal Informasi dan Komputer Indonesian Journal of Applied Informatics 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

Published : 93 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 93 Documents
Search

 6   7   8   9   10 
OPTIMASI ALGORITMA K-NEAREST (KNN) NEIGHBORS PADA PREDIKSI RISIKO PENYAKIT KARDIOVASKULAR Hidayat, Peri; Kurniawan, Rudi; Wijaya, Yudhitira Arie; Suprapti, Tati
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 1 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i1.5864

Abstract

Penyakit kardiovaskular merupakan penyebab utama kematian di dunia, dipengaruhi oleh berbagai faktor risiko yang kompleks. Deteksi dini sangat penting untuk mencegah komplikasi serius. Penelitian ini bertujuan mengembangkan model prediksi risiko penyakit kardiovaskular menggunakan algoritma K-Nearest Neighbors (K-NN) dan menentukan nilai K optimal untuk meningkatkan akurasi prediksi. Metodologi yang digunakan adalah Knowledge Discovery in Databases (KDD), mencakup pemilihan data, pembersihan data, transformasi data, pemilihan atribut, evaluasi, dan validasi model. Dataset yang digunakan terdiri dari variabel medis seperti usia, berat badan, tekanan darah, kadar kolesterol, dan riwayat medis lainnya. Data dibagi dengan rasio 70:30 dan 80:20 untuk mengevaluasi performa model pada pembagian data yang berbeda. Hasil menunjukkan bahwa nilai K = 40 memberikan akurasi terbaik sebesar 71,00% pada rasio 70:30, sedangkan nilai K = 25 menghasilkan akurasi 71,16% pada rasio 80:20. Kesimpulan penelitian ini adalah algoritma K-NN mampu memprediksi risiko penyakit kardiovaskular dengan baik, bergantung pada pemilihan nilai K dan rasio pembagian data yang optimal. Penelitian ini berkontribusi dalam pengembangan model prediksi risiko penyakit kardiovaskular dan menjadi referensi untuk diagnosis dini di masa depan.
ALGORITMA NAIVE BAYES UNTUK MENINGKATKAN MODEL KLASIFIKASI PENERIMA PROGRAM INDONESIA PINTAR DI SDN 2 PURWAWINANGUN Darussalam, Luthvi Nurfauzi; Kurniawan, Rudi; Wijaya, Yudhistira Arie; Suprapti, Tati
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 1 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i1.5882

Abstract

Penelitian ini bertujuan meningkatkan keakuratan klasifikasi penerima Program Indonesia Pintar (PIP) di SDN 2 Purwawinangun, Kabupaten Kuningan. Metode yang lambat dan kurang akurat digantikan dengan algoritma Naive Bayes untuk menganalisis data siswa berdasarkan kriteria tertentu. Proses penelitian meliputi pengumpulan data sekunder, preprocessing data, dan implementasi algoritma Naive Bayes. Hasilnya, model ini mencapai akurasi 96,47% dalam menentukan kelayakan penerima PIP, dengan mempertimbangkan atribut seperti latar belakang sosial ekonomi dan kinerja akademik siswa. Temuan menunjukkan bahwa algoritma ini efisien dalam mengolah dataset kompleks dibandingkan metode manual. Namun, kinerja model sangat bergantung pada kualitas data awal, sehingga data yang tidak lengkap dapat mempengaruhi hasil.Penelitian merekomendasikan penerapan metode ini di sekolah lain dan integrasi algoritma tambahan, seperti Decision Tree, untuk validasi hasil. Dengan pendekatan ini, seleksi penerima PIP menjadi lebih tepat sasaran, efisien, dan transparan.
PENERAPAN MODEL EXPERIENTAL LEARNING MELALUI METODE DISKUSI PADA MATERI PENGELOLAAN KEUANGAN SEDERHANA UNTUK MENINGKATKAN HASIL BELAJAR SISWA KELAS XII MANAJEMEN PERKANTORAN1 SMK NEGERI 1 TASIKMALAYA Suprapti, Tati
Jurnal Inovasi dan Teknologi Pendidikan Vol. 2 No. 3 (2024): Jurnal Inovasi dan Teknologi Pendidikan
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/jurinotep.v2i3.76

Abstract

The problem in this research is whether the application of the Experiential Learning Model through the Discussion Method can improve the learning outcomes of class XII MP1 students at SMK Negeri 1 Tasikmaya. The aim of the research is to increase the effectiveness of implementing the Experiential Learning Model through the Discussion Method in an effort to improve learning outcomes for Simple Financial Management Material. Perpetual Assessment Method for class The subjects in this research were 35 students of Class XII Office Management1 at SMK Negeri 1 Tasikmalaya for the 2022/2023 academic year. Student learning effectiveness is measured based on individual learning completeness criteria. The results of the research show that through the application of the Experiential Learning Model through the Discussion Method it can increase student activity and competence in simple Financial Management subjects. . This can be seen from: (1) there is an increase in student activity in each cycle. Student activity in cycle I was 37.13%, and cycle II was 76.16%; (2) there is an increase in class averages and student learning completeness. The class average in cycle I was 80 and cycle II was 87. Student learning completeness as measured by the cognitive competency test in cycle I was 66%, and cycle II was 91.62%. The conclusion from the research results regarding the Application of the Experiential Learning Model Through the Discussion Method in Class XII Office Management 1 SMK Negeri 1 Tasikmalaya was declared successful
Peningkatan Pengetahuan Masyarakat tentang Pemanfaatan Seledri (Apium graveolens L.) sebagai Antimikroba Sari, Putri Eka; Suprapti, Tati; Elsha, Dwi
Jurnal Pengabdian kepada Masyarakat Wahana Usada Vol. 7 No. 2 (2025): Desember: Jurnal Pengabdian kepada Masyarakat Wahana Usada
Publisher : Sekolah Tinggi Ilmu Kesehatan KESDAM IX/Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47859/wuj.v7i2.744

Abstract

Infections caused by pathogenic microorganisms remain a major health challenge. One preventive promotive effort to reduce infection incidence is through the use of traditional medicinal plants, such as celery (Apium graveolens L.) which is known to have antimicrobial activity. This community service program aimed to increase the knowledge of PKK cadres in Klender Urban Village regarding the antimicrobial benefits of celery through educational outreach. The activity was held on June 12, 2025, involving 14 PKK cadres as participants. Evaluation was carried out using pre-test and post-test questionnaires, analyzed using the Wilcoxon test. The results showed a significance value of 0.002 (p<0.05), indicating a significant increase in knowledge after the intervention. The average percentage of correct answer increased by 37.2%. Additionally, all of participants demonstrated good knowledge levels in the post-test and none were in the poor category. These findings indicate that education through outreach is effective in improving community understanding of celery’s antimicrobial potential. Local plant-based education is expected to be a sustainable preventive strategy to improve public health.Keywords: education, celery, antimicrobial, knowledge PKK cadres
Klasifikasi Telur Fertil dan Infertil Berbasis Hybrid MobileNetV3 dengan Mekanisme Attention dan Texture Fusion Bani Nurhakim; Dadang Sudrajat; Tati Suprapti; Ade Rizki Rinaldi; Agus Bahtiar
Prosiding SISFOTEK Vol 9 No 1 (2025): SISFOTEK IX 2025
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Accurate fertile-infertile egg classification is crucial to improve hatching productivity and sorting efficiency. This study proposes MobileFusionV3, a MobileNetV3 architecture enriched with CBAM (Convolutional Block Attention Module) and Hybrid Texture Fusion (LBP and GLCM) to combine deep and texture features to be more robust to candling illumination variations. A dataset of 1,275 candling images (675 fertile, 600 infertile) was subjected to preprocessing (resizing, normalization, background enhancement) and realistic data augmentation (rotation, brightness/contrast changes, Gaussian noise, illumination variations). The model was trained using transfer learning, early stopping, and an evaluation scheme based on accuracy, precision, recall, F1-score, and AUC. The test results showed an accuracy of 97.2%, precision of 96.8%, recall of 97.5%, F1 of 97.1%, and AUC of 0.99, surpassing previous designs that did not use attention mechanisms and texture fusion. Grad-CAM++ analysis confirms the model's focus on physiologically relevant regions (embryonic shadow and air-cell), thus improving the reliability of interpretation. These findings indicate that lightweight, efficient designs based on attention and texture fusion have the potential to be implemented in smart hatchery systems and edge/mobile devices while maintaining high accuracy.
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.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar

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

Show Abstract | Download Original | Original Source | Check in Google Scholar

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

Show Abstract | Download Original | Original Source | Check in Google Scholar

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

Show Abstract | Download Original | Original Source | Check in Google Scholar

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.
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 Aldi Setiawan Ali Ali Alpian Novansyah, Indi Alwan Azhar Amaliah, Novi Andi Ardiansyah Andri Yanto Apriliani, Yuni Aribah, Firyal Arif Rinaldi Dikananda ASEP SAEFUDDIN Athaullah Abrar Bayan Auliya Ayura Yufita Bani Nurhakim Beby Maryam Camelia Putri Lestari Cep Lukman Rohmat Christian Anderson Wint's II, Hans Dadang Sudrajat Darussalam, Luthvi Nurfauzi Dayanti, Resda Dian Ade Kurnia Dian Ade Kurnia Dodi Solihin Dodi Solihudin Doni Anggara Dwi Prasetyo Elsha, Dwi 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 Muhamad Taufiq Hidayat Muhammad Hilmy Naufan Mulyawan Nana Siti Nurjanah Narasati, Riri Narasati Nining Rahaningsih NoviFirda Aini 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 Rizaldy, Farhan Rizki Ani, Fitri 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 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 Yusuf Sidiq, Yusuf Sidiq Zaki Nur Rahmat Hidayat Zulfa Hana Aqliyah