Article Per Year (5 Year)
p-Index From 2021 - 2026
1.066
P-Index
This Author published in this journals
All Journal Jurnal Informatika dan Teknik Elektro Terapan JITK (Jurnal Ilmu Pengetahuan dan Komputer) INTI Nusa Mandiri
Nugraha, Siti Nurhasanah
Unknown Affiliation
Computer Science & IT

Published : 6 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 6 Documents
Search

 1 
AUDIT SISTEM INFORMASI MANAJEMEN SEKOLAH MENGGUNAKAN FRAMEWORK COBIT 4.1 Saryoko, Andi; Fitri, Evita; Nugraha, Siti Nurhasanah; Elyana, Instianti; Aziz, Faruq
INTI Nusa Mandiri Vol. 19 No. 1 (2024): INTI Periode Agustus 2024
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v19i1.5578

Abstract

The School Management Information System (SIMS) has brought many benefits, even though it has been implemented, SMPIT Ajimutu Global Insani Bekasi faces several challenges and problems that require special attention, including limitations in IT Strategic Planning, Less Optimal IT Risk Management, Evaluation of Automation Solutions, Security Information Systems, IT Service Performance Measurement, IT Governance have not been fully implemented in their entirety. This article discusses the application of the COBIT 4.1 framework in conducting SIMS audits at SMPIT Ajimutu Global Insani Bekasi. This research aims to assess the suitability of the information system with the school's strategic objectives, identify strengths and weaknesses in its management, and provide recommendations for improvement. The methodology used includes evaluation of the four main domains in COBIT 4.1: Planning and Organization (PO), Acquisition and Implementation (AI), Delivery and Support (DS), and Monitoring and Evaluation (ME). The audit results show that although SIMS has provided significant benefits, there are several areas that require improvement, such as IT strategic plan documentation, risk management, evaluation of automation solutions, information system security, IT service performance measurement, and IT governance. Based on these findings, recommendations for improvement are provided which include improving documentation and communication, developing formal processes for risk management, routine evaluation of automation solutions, improving security policies, establishing more comprehensive performance metrics, and strengthening IT governance.
PENERAPAN ALGORITMA KRIPTOGRAFI ELGAMAL PADA APLIKASI PENGAMANAN PESAN BERBASIS WEBSITE Nugraha, Siti Nurhasanah
Jurnal Informatika dan Teknik Elektro Terapan Vol 12, No 3 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i3.4794

Abstract

Seiring dengan perkembangan teknologi, keamanan dalam pertukaran data dan informasi menjadi sangat penting. Saat ini, keamanan dalam proses pertukaran informasi masih belum optimal, sehingga data atau informasi yang dipertukarkan sangat rentan terhadap kebocoran, penyadapan, pencurian, dan pemalsuan yang menimbulkan kerugian bagi pemilik data atau informasi tersebut. Salah satu cara untuk mengatasi permasalahan ini adalah dengan menerapkan sistem kriptografi, yaitu enkripsi dan dekripsi pesan pada proses pertukaran data atau informasi. Pada penelitian ini, algoritma ElGamal diimplementasikan pada sebuah aplikasi sederhana berbasis web yang digunakan untuk pengamanan pesan teks dengan tujuan untuk menjaga kerahasiaan pesan yang dipertukarkan. Dari penelitian yang telah dilakukan, dapat disimpulkan bahwa algoritma ElGamal yang diterapkan pada aplikasi pengamanan pesan berbasis web berjalan dengan baik dan optimal. Pemilihan algoritma ini didasarkan pada keamanannya yang terletak pada kesulitan menghitung logaritma diskrit, sehingga sulit dipecahkan oleh kriptanalis. Hasil dari penelitian ini adalah terciptanya sebuah aplikasi berbasis web yang dapat melakukan proses enkripsi pesan asli menjadi pesan yang tidak dapat dibaca, kemudian mengembalikannya ke bentuk semula melalui proses dekripsi sehingga dapat dibaca kembali oleh pengguna. Aplikasi ini dapat diterapkan untuk menciptakan lingkungan pertukaran informasi yang aman dan terpercaya.
OPTIMASI KINERJA LINEAR REGRESSION, RANDOM FOREST REGRESSION DAN MULTILAYER PERCEPTRON PADA PREDIKSI HASIL PANEN Fitri, Evita; Nugraha, Siti Nurhasanah
INTI Nusa Mandiri Vol. 18 No. 2 (2024): INTI Periode Februari 2024
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v18i2.5269

Abstract

Rice yield prediction is a significant challenge in the context of climate uncertainty and farmland variation. Erratic weather factors, along with land differences, make this prediction more complex. This research aims to address these issues using a machine learning approach. The method used involves three machine learning models namely Linear regression, Random Forest Regression, and ANN with MultiLayer Perceptron algorithm as well as the evaluation matrix RMSE (Root Mean Squared Error), MAE (Mean Absolute Error) and MAPE (Mean Absolute Percentage Error). This research focuses on testing the accuracy of the three models in the face of uncertain seasonal conditions and variations in agricultural land. The results showed that the MultiLayer Perceptron prediction model gave the best results with an error value of 0.094. The random forest regression method ranks second with an error value of 0.510, followed by Linear regression with an error value of 0.281. The importance of outlier testing in the model development process can be seen from the significant improvement in the performance of the MultiLayer Perceptron model. This research contributes to the development of a more reliable and dependable rice yield prediction system, especially in the midst of uncertain climatic conditions. Machine learning models, particularly MultiLayer Perceptron, can be an effective solution to increase agricultural productivity and reduce risks associated with weather changes and land variations.
PERANCANGAN APLIKASI TIKET IT HELPDESK UNTUK MENINGKATKAN EFEKTIVITAS LAYANAN TEKNOLOGI INFORMASI karwur, veron vaskarian; Ramdha Janur Andriadji; Alviatul Laila; Fahmi Junaedi; Rocci Samuel Mossad; Riyan Latifahul Hasanah; Nugraha, Siti Nurhasanah
INTI Nusa Mandiri Vol. 20 No. 1 (2025): INTI Periode Agustus 2025
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v20i1.7002

Abstract

Effective and responsive Information Technology (IT) services play a crucial role in supporting organizational operations. However, in practice, ASPAN Company still faces challenges in recording, monitoring, and resolving IT incidents due to the absence of an integrated system. This study aims to design an IT Helpdesk ticketing application that enhances the effectiveness of IT services through a systematic, fast, and measurable incident management process. The research adopts the waterfall methodology and qualitative data collection using a case study approach through direct observation involving IT staff and service users. The result of this study is a web-based application that enables users to create incident report tickets, track ticket status, and provide feedback on the services received. The system also provides performance reports that are useful for service evaluation. The implementation results demonstrate a significant improvement in IT service performance, where the average incident resolution time decreased from 2.5 hours to 1.5 hours. Furthermore, the system facilitates real-time ticket tracking, historical issue management, and structured performance reporting to support IT service evaluation. With the implementation of the IT Helpdesk ticketing application, the IT issue-handling process becomes more efficient, well-documented, and ultimately improves the overall quality of Information Technology services within ASPAN company
PENERAPAN ALGORITMA KRIPTOGRAFI ELGAMAL PADA APLIKASI PENGAMANAN PESAN BERBASIS WEBSITE Nugraha, Siti Nurhasanah
Jurnal Informatika dan Teknik Elektro Terapan Vol. 12 No. 3 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i3.4794

Abstract

Seiring dengan perkembangan teknologi, keamanan dalam pertukaran data dan informasi menjadi sangat penting. Saat ini, keamanan dalam proses pertukaran informasi masih belum optimal, sehingga data atau informasi yang dipertukarkan sangat rentan terhadap kebocoran, penyadapan, pencurian, dan pemalsuan yang menimbulkan kerugian bagi pemilik data atau informasi tersebut. Salah satu cara untuk mengatasi permasalahan ini adalah dengan menerapkan sistem kriptografi, yaitu enkripsi dan dekripsi pesan pada proses pertukaran data atau informasi. Pada penelitian ini, algoritma ElGamal diimplementasikan pada sebuah aplikasi sederhana berbasis web yang digunakan untuk pengamanan pesan teks dengan tujuan untuk menjaga kerahasiaan pesan yang dipertukarkan. Dari penelitian yang telah dilakukan, dapat disimpulkan bahwa algoritma ElGamal yang diterapkan pada aplikasi pengamanan pesan berbasis web berjalan dengan baik dan optimal. Pemilihan algoritma ini didasarkan pada keamanannya yang terletak pada kesulitan menghitung logaritma diskrit, sehingga sulit dipecahkan oleh kriptanalis. Hasil dari penelitian ini adalah terciptanya sebuah aplikasi berbasis web yang dapat melakukan proses enkripsi pesan asli menjadi pesan yang tidak dapat dibaca, kemudian mengembalikannya ke bentuk semula melalui proses dekripsi sehingga dapat dibaca kembali oleh pengguna. Aplikasi ini dapat diterapkan untuk menciptakan lingkungan pertukaran informasi yang aman dan terpercaya.
TRANSFER LEARNING-BASED CLASSIFICATION OF BELL PEPPER LEAF DISEASES USING VGG16 AND EFFICIENTNETB3 ARCHITECTURES Nugraha, Siti Nurhasanah; Fitri, Evita; Ernawati, Muji
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 3 (2026): JITK Issue February 2026
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i3.7913

Abstract

Diseases affecting pepper leaves can significantly reduce crop productivity and quality, while manual disease identification remains subjective, time-consuming, and prone to error. Therefore, an accurate automated classification system is required to support early disease detection. This study aims to evaluate and compare the performance of a conventional Convolutional Neural Network (CNN) with two transfer learning–based architectures, VGG16 and EfficientNetB3, for classifying pepper leaf images into healthy and bacterial spot classes, as well as to analyze the impact of applying a soft voting ensemble method on classification performance. The dataset was obtained from Kaggle and divided into training, validation, and test sets. Image preprocessing included resizing all images to 224×224 pixels and applying data augmentation to improve model generalization. Model performance was evaluated using accuracy, precision, recall, and F1-score metrics. The experimental results indicate that EfficientNetB3 outperforms the conventional CNN and VGG16 models. Furthermore, the application of the soft voting ensemble enhances prediction stability, achieving an accuracy of 99.68% on the test dataset with balanced precision and recall across both classes. These findings demonstrate that the integration of transfer learning and soft voting ensemble methods is an effective approach for image-based pepper leaf disease classification under the experimental conditions, and provides a basis for further validation using more diverse datasets.
Co-Authors Alviatul Laila Andi Saryoko Aziz, Faruq Ernawati, Muji Fahmi Junaedi Fitri, Evita Instianti Elyana, Instianti karwur, veron vaskarian Ramdha Janur Andriadji Riyan Latifahul Hasanah Rocci Samuel Mossad