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All Journal Jurnal TAM (Technology Acceptance Model) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JUTIM (Jurnal Teknik Informatika Musirawas) JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Jurnal Informatika Global Jurnal Abdimas Mandiri Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Digital Teknologi Informasi Jurnal Pengabdian kepada Masyarakat JIKI (Jurnal Ilmu Komputer dan Informatika) IJAIRTec Aptekmas : Jurnal Pengabdian Kepada Masyarakat Algoritme Jurnal Mahasiswa Teknik Informatika Green Intelligent Systems and Applications Informatics and Enginering Dedication Jurnal Teknologi Sistem Informasi Klik - Jurnal Ilmu Komputer Arcitech: Journal of Computer Science and Artificial Intelligence Jurnal Pengabdian Publikasi Hasil Pengabdian Kepada Masyarakat. Jurnal Ilmiah Teknik Informatika dan Komunikasi MDP Student Conference Jurnal Rekayasa Sistem Informasi dan Teknologi Jurnal Pengabdian Masyarakat dan Riset Pendidikan Indonesian Journal of Innovation Multidisipliner Research JISCOMP (Journal of Information System and Computer) INOVTEK Polbeng - Seri Informatika International Journal of Artificial Intelligence and Robotic Technology (IJAIRTec) Jurnal TAM (Technology Acceptance Model)
Hartati, Ery
Multi Data Palembang University, South Sumatra
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KOREAN LETTER HANDWRITING RECOGNITION USING CONVOLUTIONAL NEURAL NETWORK METHOD VGG-16 ARSITEKTUR ARCHITECTURE Ery Hartati; Derry Alamsyah
International Journal of Artificial Intelligence and Robotic Technology (IJAIRTec) Vol. 1 No. 3 (2021): International Journal of Artificial Intelligence and Robotic Technology (IJAIRT
Publisher : International Journal of Artificial Intelligence and Robotic Technology (IJAIRTec)

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

Abstract

Handwritten is a unique characteristic because each people has different handwriting. Handwritten can be an object to recognition of someone. In research on handwritten Korean alphabet recognition using the Convolutional Neural Network method with VGG-16 architecture. Data is scanned from 24 Korean handwritten alphabets with 14 kinds of consonants and 10 kinds of vocals on paper with black ink. Data there are two scenarios namely research using original data without binarization and data with binarization which for both scenarios are previously data has been resized. This research uses k-fold cross-validation with a value for k=5 and a confusion matrix. The result showed that both of scenarios are can be recognized with 99,52% accuracy, 95,56% precision, 94,11% recall for first scenario and 99,42% accuracy, 95,94% precision, 93,11% recall for second scenario.
ANALISIS PENGGUNA LAYANAN GO-JEK DIKOTA PALEMBANG Ery Hartati; Yulistia Yulistia
Jurnal TAM (Technology Acceptance Model) Vol 8, No 2 (2017): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v8i2.537

Abstract

Current technological developments in the field of transportation is very rapid, especially on online transportation. The purpose of this research is to know how far the benefits of go-jek service in Palembang City for the users by knowing the magnitude of the effect of knowing the influence of Perceived Usefulness, Perceived Ease Of Use to the utilization of Go-Jek user service in Palembang city towards the utilization of Go-Jek user service in Palembang city. The research data was collected through observation, questionnaire and interview. By using TAM method (Technology Acceptance Model). The population in this study was 133 respondents, consisting of 46% male respondents and 87% women. The results of the data obtained are then processed using 5 items likert scale statements .., work expectations, high user intentions, multiple regression test results show a very strong relationship between the expectations of vidalable performance, work expectations, each has a positive and significant results (p-value 0.00) of behavioral intentions in using the service of the Project.
Aplikasi Create History Stok Barang pada PT. Singa Perkasa Abadi Budi, Raden George Samuel; Hartati, Ery
MDP Student Conference Vol 4 No 1 (2025): The 4th MDP Student Conference 2025
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v4i1.11184

Abstract

PT. Singa Perkasa Abadi is a company engaged in the production and sale of iron materials, such as nails, long iron, light steel and barbed wire. Currently, the process of recording the expenditure and entry of goods still uses paper notes, which have the potential to cause errors in recording and calculating stock of goods, and delays in managing stock of goods, and when shipping goods only relying on delivery letters which can cause errors during shipping of goods. This study aims to develop a website-based digitalization solution for stock management in order to reduce errors and loss of recording, increase efficiency and accuracy of recording. By implementing the Iterative development method and using the Laravel and Bootstrap frameworks. The implementation of this system can increase the company's productivity in managing stock of goods more quickly, accurately, and in an organized manner.
Penerapan Metode Design Thinking dalam Perancangan UI/UX Aplikasi Deteksi Mata Pengemudi Renaldo, Florence; Irsyad, Hafiz; Hartati, Ery
MDP Student Conference Vol 4 No 1 (2025): The 4th MDP Student Conference 2025
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v4i1.11316

Abstract

The high rate of accidents experienced by car drivers or other vehicle operators is often caused by drowsy eyes. Therefore, this research was conducted to design a UI/UX for a driver eye detection system using the Design Thinking method, which consists of five stages: empathy, definition, ideation, prototype, and testing. These stages ensure that the application can be optimally used by users. This application is also expected to help users reduce the risk of accidents caused by drowsiness on the road.
PELATIHAN PEMBUATAN WEBSITE DENGAN MENGGUNAKAN APLIKASI WIX Virginia, Callista; Jeovanni Wong; Umar Muhdhor; Intan Sanu; Richie Jonathan Chaniago; Ery Hartati
Jurnal Pengabdian Vol. 4 No. 1 (2025): Januari-Juni
Publisher : Bengkulu Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58222/jp.v4i1.1227

Abstract

The development of technology and information requires students to be able to master the necessary skills. This training aims to improve students' digital literacy in facing rapid technological developments. Website creation is one of the skills from utilizing information and communication technology products. Wix was chosen as a website creation platform because it is drag-and-drop based, user-friendly, and does not require coding skills. This training introduces the basic concepts of website creation, utilization of Wix features, and practice in building a simple online store website. The methods used in this training include training methods and science and technology simulation methods, which combine theory and practice directly. This activity was attended by students and received a positive response. The results of the training showed an increase in students' abilities in utilizing information technology, both for academic and personal purposes. In addition, this training also encourages students' creativity and innovation in self-development in the digital era. Because of that, website development skills should be taught from an early age across various groups in order to prepare students to compete and thrive in the digital era.
Kegiatan Pelatihan dan Pengabdian kepada Masyarakat dalam Pemahaman Penggunaan Tools AI untuk Membuat Konten Christy, Christy; Jennifer Jocelyn; Jennifer Velensia Santoti; Nicholas Edison; Ricko Andreas Kartono; Hartati, Ery
Jurnal Pengabdian Vol. 4 No. 1 (2025): Januari-Juni
Publisher : Bengkulu Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58222/jp.v4i1.1283

Abstract

This training activity aims to improve the understanding of students of SMP Xaverius Maria Palembang regarding the use of artificial intelligence (AI) tools to create digital content, such as graphic design, video, and music. The hands-on practice-based training method is used to provide students with real experience in using AI applications, such as ChatGPT, Microsoft Designer, Luma AI, and Udio AI. The results of the training show that students not only understand the basic concepts of AI, but are also able to produce more innovative and creative content. Evaluation through interactive quizzes shows an increase in student understanding, although there are some challenges in understanding certain technical terms. This training has succeeded in encouraging students to become active and ethical digital creators, supporting their digital literacy to face the era of increasingly developing technology.
Klasifikasi Jenis Bunga Menggunakan Algoritma K-NN Dengan Ekstraksi Fitur HSV Dan GLCM ., Dewa; Ardiansyah, Aldi; Sihombing, Mecha Bella Permata; Kurniawan, M.; Hartati, Ery
JUKOMPSI (Jurnal Komputer dan Sistem Informasi) Vol 3 No 2 (2025): Juni
Publisher : Teknik Komputer Fakultas Teknik Universitas Islam Kadiri (UNISKA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32503/jiscomp.v3i2.7290

Abstract

Beragamnya jenis bunga di alam dengan kemiripan visual yang tinggi sering menyulitkan proses identifikasi, terutama bagi masyarakat awam maupun pelaku budidaya. Proses pengenalan manual cenderung memakan waktu dan tidak akurat. Oleh karena itu, penelitian ini mengusulkan pendekatan berbasis pengolahan citra digital dengan menggunakan algoritma K-Nearest Neighbor (K-NN) untuk mengklasifikasikan jenis bunga. Ekstraksi fitur dilakukan dengan metode HSV untuk warna dan GLCM untuk tekstur, sehingga citra bunga dapat direpresentasikan secara lebih menyeluruh. Dataset yang digunakan diperoleh dari situs Kaggle, terdiri dari tujuh kelas bunga dengan rasio pembagian data latih dan uji sebesar 60:40. Pengujian dilakukan pada nilai K=3, K=5, dan K=7, dengan akurasi tertinggi sebesar 67,86% untuk K=3 dan K=5. Hasil menunjukkan bahwa kombinasi fitur HSV dan GLCM mampu mendukung proses klasifikasi dengan hasil yang cukup baik, meskipun akurasinya masih dapat ditingkatkan dengan jumlah data lebih besar dan pengembangan metode. Penelitian ini diharapkan dapat menjadi dasar bagi pengembangan sistem klasifikasi objek serupa di bidang botani maupun pengenalan visual berbasis citra lainnya.
DETEKSI WEBSITE PHISING MENGGUNAKAN ALGORITMA RANDOM FOREST DENGAN OPTIMALISASI GRIDSEARCH Saputra, Riganda; Hartati, Ery
JUTIM (Jurnal Teknik Informatika Musirawas) Vol 10 No 1 (2025): JUTIM (Jurnal Teknik Informatika Musirawas) JUNI
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jutim.v10i1.2674

Abstract

Phising merupakan salah satu bentuk kejahatan siber yang semakin berkembang, di mana pelaku memanfaatkan situs web palsu untuk mencuri informasi sensitif dari pengguna. Penelitian ini bertujuan untuk membangun model deteksi website phising berbasis machine learning menggunakan algoritma Random Forest, dengan pendekatan seleksi fitur berbasis embedded method melalui Mean Decrease Impurity (MDI) yang dihitung dari data out-of-bag (OOB), serta optimasi hyperparameter menggunakan GridSearchCV. Dataset yang digunakan berasal dari Kaggle dengan nama Web Page Phishing Detection yang terdiri atas 87 fitur. Seleksi fitur dilakukan berdasarkan nilai feature importance dengan menerapkan nilai threshold optimal, menghasilkan 62 fitur terpilih. Hasil pengujian menunjukkan bahwa model mencapai akurasi sebesar 96,28% dan skor ROC-AUC sebesar 0,9934 setelah proses optimasi. Evaluasi lebih lanjut menunjukkan bahwa model mampu mengidentifikasi website phising secara akurat dan efisien, serta menunjukkan kestabilan yang baik berdasarkan validasi silang dengan akurasi 96,77%. Temuan ini membuktikan bahwa metode MDI-OOB efektif dalam menyaring fitur relevan tanpa menimbulkan bias, dan mampu meningkatkan performa klasifikasi dalam mendeteksi website phising.
Sosialisasi Teori Dasar UI/UX sebagai Bentuk Pengabdian Masyarakat di Sekolah Minggu Dharmakirti Prasetyo, Zavier Billy; Akhfir, Muhammad Fadly Ukhrowi; Se, Abd Rosyiid; Amarullah, Rendy; Hartati, Ery
Publikasi Hasil Pengabdian kepada Masyarakat (PADIMAS) Vol 5 No 1 (2025)
Publisher : Fakultas Ekonomi dan Bisnis Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/padimas.v5i1.11548

Abstract

Kurangnya pemahaman tentang desain antarmuka pengguna (UI) dan pengalaman pengguna (UX) di kalangan remaja menjadi isu penting di era digital. Kegiatan pengabdian masyarakat ini difokuskan pada edukasi dasar mengenai UI/UX kepada siswa Sekolah Minggu Dharmakirti sebagai bentuk kontribusi terhadap peningkatan literasi digital sejak dini. Tujuan kegiatan ini adalah mengenalkan konsep dasar UI/UX serta memberikan keterampilan praktis dalam merancang antarmuka aplikasi menggunakan Figma. Metode pelaksanaan terdiri dari lima tahap, yaitu perencanaan, identifikasi masalah, pelaksanaan, evaluasi, dan pelaporan. Materi disampaikan melalui penyuluhan interaktif, demonstrasi, dan praktik langsung yang disesuaikan dengan karakteristik peserta usia remaja. Hasil kegiatan menunjukkan peningkatan signifikan dalam pemahaman peserta terhadap konsep UI/UX, disertai dengan antusiasme tinggi dalam mengikuti sesi praktik. Kegiatan ini juga mendorong kreativitas, kolaborasi, dan pola pikir inovatif peserta sebagai bekal menghadapi tantangan abad ke-21. Keberhasilan program menunjukkan bahwa edukasi berbasis teknologi dapat dilakukan secara menyenangkan dan berdampak positif pada pembentukan karakter dan keterampilan digital siswa.
PROGRAM PEMBERDAYAAN LANSIA: MENINGKATKAN KESEHATAN, PENGETAHUAN, DAN KEMANDIRIAN DALAM MASYARAKAT Hebert, Hocwin; Verrino Adityya; Ivander Destian Luis; Peter Reynard Susanto; Adrian Chandra; Hartati, Ery
Jurnal Pengabdian Vol. 4 No. 1 (2025): Januari-Juni
Publisher : Bengkulu Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58222/jp.v4i1.1248

Abstract

Rapid technological developments have changed the way we access information. In the past, search engines such as Google.com required users to select the right keywords and filter the results obtained. However, with the presence of artificial intelligence such as ChatGPT and Suno AI, interactions with technology have changed significantly. Users can now communicate naturally with AI, although understanding how it works and its limitations remains important. The purpose of this activity is to provide students of SMA Xaverius 3 Palembang with an understanding of the concept of AI and prompting techniques in Generative AI, so that they are able to use it wisely to support learning and creative exploration. This activity includes providing materials, AI demos, and evaluations with Quiziz. The results of the activity show that students not only understand the basic theory of AI, but are also able to apply prompting to various AI platforms such as ChatGPT, Microsoft Designer, and Suno AI.
Co-Authors ., Dewa Adrian Chandra Agustria, Kevin Akhfir, Muhammad Fadly Ukhrowi Amarullah, Rendy Ambrosius Dwi Cahyadi Andreas, Kevin Aneke Windari Ardiansyah, Aldi Ariansyah, Nova Awalludin, Nur Bertnas Valentino, Calvin Budi, Raden George Samuel Candra candra Cerwyn Asyraq Chaesa, Linus Ardel Chandra, Kelvin William Christy, Christy Daniel Udjulawa Deka Putra Pamungkas Derry Alamsyah Dervin Dervin Desy Iba Ricoida Eka Puji Widiyanto Fachtur Rachman Fathimah Azzahra Fatimah Nadia FELICIA Felix Santoso Ferdian Indrahadi Fernando Fernando Feliansyah Fernando Fernando, Fernando Fierdaus Fiernando Alfarizi Fikar Penemuan Firnando, Januar Franko, Billy Fransiska, Julita gasim, Gasim Graciela, Michelle Hafiz Irsyad Hakiki, Muhammad Anugrah Hebert, Hocwin Hermanto , Rio Inayatullah, Inayatullah Intan Sanu Ishak , Alvin Leonardo Ivander Destian Luis Jennifer Jocelyn Jennifer Velensia Santoti Jeovanni Wong Joshua Liu Jumhari Jumhari Kelly, Angel Keristin, Usnia Wati Kesuma, Dorie P. Kevin Antonio Khairani, Siti Kotan, Jendraja Husin Kusuma, Dorie P. Leonardo Leonardo Lim, Farrel Stefanov Lisa Amelia Fransen M Rifqi Virgiansyah M. Kurniawan, M. Maria Elana Maulana, Muhammad Ishaq Md, Ramanda Michael Michael Michael Peter Chandra Micheal Micheal Muhammad Maisep Muhammad Nirraca Mutia, Silvi Nardian Varianto Nataliatara Nataliatara Nicholas Edison Nicholas, Nicholas Nirraca, Muhammad Nurrahman, Wahyu Aji Oktaviani, Ayu Sri Pebrian, Hafizh Peter Reynard Susanto Prana Welas Sukma, Tangguh Prasetyo, Zavier Billy Putra Darmansius, Albertus Dwi Andhika Putra Ganda Dewata Qois Al Qorni Renaldo, Florence Reza Ardana Richie Jonathan Chaniago Ricko Andreas Kartono Ricky Ricky Rikky, Rikky Rionaldo, Daniel Sahpira, Mulia Saputra Edika, Nelson Saputra, Ade Rocky Saputra, Riganda Sasongko, Randie Se, Abd Rosyiid Selvie Selvie Sherdian Djunaidi Sihombing, Mecha Bella Permata Sri Wahyuni Steven Hartanto Sudiadi Sudiadi Sudiadi Sudiadi Suluh Arif Wibowo Tan, Handy Christianto Tandoballa, Lucky Tanzil, Surya Pratama Teo Yulio Sihotang Umar Muhdhor Umi Karolina Vanness Bee Vasco Dee Gamma Bororing Verdy Verrino Adityya Virginia, Callista Widyakusuma, Rafael Lois Wijaya, Frisky Williams Peter Wilyanto, Nicholas Winardi, Eric Agustian Yogie Prakoso Yohannes, Yohannes Yulistia Yulistia