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All Journal International Journal of Integrative Sciences Journal of Research and Publication Innovation OKTAL : Jurnal Ilmu Komputer dan Sains JRIIN :Jurnal Riset Informatika dan Inovasi APPA : Jurnal Pengabdian Kepada Masyarakat AI dan SPK : Jurnal Artificial Intelligent dan Sistem Penunjang Keputusan
Teti Desyani
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Aerospace Engineering Astronomy 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 Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Social Sciences Other

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Penerapan Sistem Informasi Dalam Membantu Kegiatan Stok Opname Barang Store Paris Baguette Puri Mall Teti Desyani; Refli Wijaya; Mohamad Yudha Mauluda; Muhammad Rizal Abdul Aziz
Jurnal Riset Informatika dan Inovasi Vol 2 No 5 (2024): JRIIN: Jurnal Riset Informatika dan Inovasi
Publisher : shofanah Media Berkah

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Abstract

This report discusses the implementation of an information system to assist stock opname of goods at Store Paris Baguette Puri Mall. Currently, the stock opname process is still carried out manually by writing it down in a large book that is stored on the kitchen shelf. This causes several inefficiencies, such as: Slow and time-consuming process: Recording stock opname manually takes a long time and is prone to errors, unsafe data: Stock opname ledgers are stored on kitchen shelves that are not secure and easily lost or damaged, data is difficult to find: Searching for stock opname data in ledgers takes a lot of time and effort. Therefore, this study aims to implement a web-based or mobile application information system to assist the stock opname process at Store Paris Baguette Puri Mall. This system is expected to:Increase the efficiency of the stock opname process: This system can help speed up the stock opname process and minimize errors, improve data security: Stock opname data is stored securely in a database and can be easily accessed, make data retrieval easier: Stock opname data can be easily and quickly searched through the system. It is hoped that with the implementation of this information system, the performance of Store Paris Baguette Puri Mall will be better and can save time and costs.
MENGIMPLEMENTASIKAN SISTEM KERJA PENDATAAN DAN KEGIATAN SOSIAL MELALUI WEBSITE Fajri Afdinal; Timor Setiorini; Yeni Liana; Teti Desyani
AI dan SPK : Jurnal Artificial Intelligent dan Sistem Penunjang Keputusan Vol. 2 No. 2 (2024): Jurnal AI dan SPK : Jurnal Artificial Inteligent dan Sistem Penunjang Keputusan
Publisher : CV. Shofanah Media Berkah

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Abstract

Yayasan Khoiru Ummah adalah organisasi nirlaba yang bergerak di bidang sosial dan kemanusiaan. Yayasan ini memiliki banyak program dan kegiatan sosial yang perlu didata dan dipublikasikan secara luas. Untuk itu, Yayasan Khoiru Ummah membutuhkan sistem kerja pendataan dan kegiatan sosial yang terstruktur dan efisien. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem kerja pendataan dan kegiatan sosial di Yayasan Khoiru Ummah melalui website. Sistem ini akan membantu Yayasan Khoiru Ummah dalam mendata, mengelola, dan mempublikasikan program dan kegiatan sosialnya secara lebih mudah dan efektif. Metode penelitian yang digunakan adalah studi kasus dengan pendekatan kualitatif. Data dikumpulkan melalui observasi, wawancara, dan studi dokumentasi. Data yang diperoleh dianalisis dengan menggunakan teknik analisis data kualitatif. Hasil penelitian menunjukkan bahwa sistem kerja pendataan dan kegiatan sosial di Yayasan Khoiru Ummah melalui website telah berhasil diimplementasikan. Sistem ini terdiri dari beberapa modul, yaitu modul pendataan program, modul pendataan kegiatan, modul publikasi program, dan modul publikasi kegiatan. Sistem ini juga dilengkapi dengan fitur-fitur yang memudahkan pengguna dalam mengakses dan mengelola data.
Implementasi Pengamanan Jaringan Dengan Teknik Penetration Testing Menggunakan Metode Deauther Dan Evil Twin Pada Wireless Tl-WR840N Eka Rahmat Mauluddin; Teti Desyani
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 3 No 04 (2024): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

Computer networks are growing very rapidly, both in commercial institutions, in the academic world, and even in people's homes that need internet access. The internet is accessed by many people without exception to hackers and crackers. Various network security issues are currently very important and deserve attention. A network connected to the internet is basically insecure and can always be exploited by hackers, both wired LAN and wireless LAN networks. During the process of sending data, it will pass through several terminals to arrive at the destination, which means it will provide an opportunity for other users who are not responsible to intercept or change the data. In this case, it is necessary to implement network security with penetration testing techniques using the Deauther and evil twin methods on the Tl-WR840N wireless. The results of the analysis obtained after testing with the Deauther and Evil twin methods are that this method is very effective in hacking Wi-Fi networks that are not encrypted or protected with weak passwords. In testing the Deauther and Evil Twin methods managed to hack the Wi-Fi network with a fairly high success rate. Therefore, it is very important for WiFi network users to maintain their security by using the right security technologies, such as using strong passwords and data encryption.
Implementasi Metode SDLC Waterfall Untuk Rancang Bangun Sistem Informasi Pengaduan Masyarakat Berbasis Web Dengan Notifikasi Telegram (Studi Kasus : Kelurahan Bojongsari Baru, Kota Depok) Rendi Agum Pratama; Teti Desyani
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 3 No 03 (2024): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

The development of information technology has progressed from time to time. Demand that each individual or group must keep up with the times so as not to be left behind. One of them is the Bojongsari Baru Village, which is a village government institution in the city of Depok, which really needs a fast, practical and structured information service system to serve its citizens. The information service system that runs in the Bojongsari Baru Village is still running manually, especially in terms of public complaints. The community still comes directly to the kelurahan to report complaints, it is not certain that the complaints submitted are immediately responded to by the lurah or kelurahan officials, because they are not present, so this service is not fast, practical and structured. Based on these problems, this study aims to design a web-based public complaint system with real-time telegram notification features for Bojongsari Baru Village. By implementing the SDLC Waterfall method which consists of needs analysis, design, programming, system testing, and maintenance. The results of this study aim for both parties to obtain information and means of communication quickly, making it easier for people who want to submit complaints easily without having to come to the village and assist the village in handling complaints and managing information data.
IMPLEMENTASI LOGIN APLIKASI DENGAN FITUR AUTENTIKASI PENGGUNA MENGGUNAKAN FLUTTER DAN ML KIT FACE RECOGNITION Ibnu Saputra; Teti Desyani; Ari Syaripudin
Journal of Research and Publication Innovation Vol 3 No 1 (2025): JANUARI
Publisher : Journal of Research and Publication Innovation

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Abstract

This research aims to develop a login system using facial recognition technology on an Android application to enhance security. The main focus is to integrate Flutter and ML Kit Face Recognition, as well as to apply the Euclidean Distance method to improve authentication accuracy. The development method involves using Flutter as the framework and ML Kit Face Recognition for face recognition technology. Euclidean distance is implemented to measure the distance between facial features, allowing the system to distinguish faces more accurately. Testing was conducted with a diverse facial dataset to evaluate the performance and effectiveness of the system. The research results show that the combination of ML Kit Face Recognition and Euclidean Distance successfully enhances the security of Android applications, with the authentication system achieving a 90% accuracy rate in recognizing users' faces. This implementation has proven to be an effective and efficient solution for authentication in Android applications. The Euclidean Distance method successfully improved facial recognition accuracy significantly. In conclusion, the integration of Flutter, ML Kit Face Recognition, and Euclidean Distance offers a promising approach to Android user authentication, addressing security challenges in mobile application development. The findings of this research have implications for the development of a more secure authentication system and the improvement of the login process efficiency in Android applications..
PREDIKSI HARGA MINYAK MENTAH DENGAN MENGGUNAKAN ALGORITMA CART (CLASSIFICATION AND REGRESSION TREE) Muhammad Reynaldi; Santi Rahayu; Teti Desyani
Journal of Research and Publication Innovation Vol 3 No 1 (2025): JANUARI
Publisher : Journal of Research and Publication Innovation

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Abstract

Crude oil is an important energy source that experiences significant price fluctuations due to various factors such as geopolitics and global market dynamics. Research conducted by Muhammad Reynaldi in 2024 using the title ‘‘Crude Oil Price Prediction Using the CART (Classification and Regression Tree) Algorithm’’, aims to disseminate examples of crude oil price predictions carefully and easily interpreted. The problem faced in this study is the difficulty of predicting crude oil prices due to fluctuations determined by many external factors. The purpose of this study is to create a more accurate prediction method with traditional methods, and to assist decision making in the energy sector. The results of the study show that the CART solving procedure for predicting crude oil prices with an MSE value of 0.892, an MAE value of 0.700, an RSME value of 0.944, and an R-square value of 0.957. This study places significance on overcoming the challenges of crude oil price fluctuations and provides simple solutions for governments, companies, and energy industry players.
Classification of Plant Leaf Diseases Using Convolutional Neural Networks Teti Desyani; Mahromi, Muhammad; Ramadhan, Fazzil Alfis; Alfiansyah, Muhammad; Maulana, Muhammad Iqbal; Rosyani, Perani
International Journal of Integrative Sciences Vol. 4 No. 1 (2025): January 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijis.v4i1.13478

Abstract

Leaf diseases significantly impact agricultural productivity and economic stability. This study explores the use of Convolutional Neural Networks (CNN) for classifying plant leaf diseases, addressing limitations of traditional visual inspection methods. Utilizing a Kaggle dataset with three classes (Healthy, Powdery, Rust), data preprocessing techniques such as resizing, augmentation, and normalization enhanced model performance. The CNN model achieved 95% accuracy in classification, demonstrating its capability to detect intricate patterns on leaf surfaces. Despite challenges like dataset imbalance and limited disease categories, the research highlights the potential of integrating CNN with web or mobile platforms to aid farmers in disease identification. These findings align with previous studies and underscore the importance of deep learning in agricultural innovation. Future research should focus on expanding datasets, exploring advanced architectures, and validating models under real-world conditions to maximize utility and accuracy in diverse environments
Pengembangan Sistem Pembelajaran Mandiri Berbasis AI Dengan Pendekatan Dan Etika Penggunaan Kepada Siswa SMP Negeri 9 Kota Tangerang Selatan Bryan Prathama Selbi; Ahmad Al Faqih; Titik Oktaviani; Risky Darmawan; Dylan Chaniago; Lili Nurhalim; Jeremi Tito Ambarita; Asita Husna Dewi Fauzia; Hasna Fikriyah Ramadhani; Aldiyanra Saputra; Teti Desyani
APPA : Jurnal Pengabdian Kepada Masyarakat Vol 3 No 1 (2025): APPA : Jurnal Pengabdian kepada Masyarakat
Publisher : Shofanah Media Berkah

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Abstract

− Perkembangan pesat teknologi digital, khususnya kecerdasan buatan (Artificial Intelligence/AI), telah membawa perubahan signifikan dalam berbagai aspek kehidupan, termasuk dunia pendidikan. Kegiatan Pengabdian Kepada Masyarakat (PKM) ini bertujuan untuk mengintegrasikan AI dalam sistem pembelajaran mandiri di SMP Negeri 9 Kota Tangerang Selatan. Dengan pendekatan edukatif dan partisipatif, kegiatan ini dirancang untuk meningkatkan literasi digital siswa, memperkenalkan konsep dasar AI, serta menanamkan pemahaman tentang etika penggunaannya sejak dini. Metode pelaksanaan meliputi penyusunan materi, pelatihan penggunaan sistem berbasis AI, edukasi etika digital, dan evaluasi keterlibatan serta pemahaman siswa. Hasil kegiatan menunjukkan adanya peningkatan pemahaman yang signifikan di kalangan siswa dan guru mengenai AI dan penerapannya dalam pendidikan. Selain itu, antusiasme peserta dan dukungan pihak sekolah menjadi indikator positif terhadap keberlanjutan program ini. Kegiatan ini diharapkan dapat menjadi model awal pengembangan pembelajaran berbasis teknologi cerdas di tingkat menengah pertama serta memperkuat sinergi antara sekolah dan perguruan tinggi.
Co-Authors Ahmad Al Faqih Aldiyanra Saputra Ari Syaripudin Asita Husna Dewi Fauzia Bryan Prathama Selbi Dylan Chaniago Eka Rahmat Mauluddin Fajri Afdinal Hasna Fikriyah Ramadhani Ibnu Saputra Jeremi Tito Ambarita Lili Nurhalim Mahromi, Muhammad Maulana, Muhammad Iqbal Mohamad Yudha Mauluda Muhammad Alfiansyah Muhammad Reynaldi Muhammad Rizal Abdul Aziz Perani Rosyani Ramadhan, Fazzil Alfis Refli Wijaya Rendi Agum Pratama Risky Darmawan Santi Rahayu Timor Setiorini Titik Oktaviani Yeni Liana