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Journal : jeti

Sistem Pelayanan Cuti Berbasis Web di Kantor Pelayanan Perbendaharaan Negara (KPPN) Lhokseumawe Rozzi Kesuma Dinata, Erna
Jurnal Elektro dan Informatika Vol 2 No 1 (2021): Maret 2021
Publisher : LPPM-UNIKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5201/jet.v2i1.165

Abstract

In this era of globalization, information technology has become a basic tool needed by every existing company. By usinginformation technology, the accuracy and speed of data access will be easier to run. The Lhokseumawe State TreasuryService Office (KPPN) is a government office engaged in distributing funds from the state treasury to several work unitsunder other ministries/agencies or under the ministry of finance itself. The process of managing leave at theLhokseumawe State Treasury Service Office (KPPN) is currently still being done manually. The leave managementprocess has several weaknesses. Employees cannot find out the rest of their personal leave rights and take leave directlyby coworkers, so employees cannot carry out leave management properly. The leadership also has not been able to makeleave decisions based on the principle of equal distribution of employee leave rights. Another weakness is the process ofmanaging employee leave is less effective and efficient. In solving these problems, in this study the authors designed asystem using Unifield Modeling Language (UML), Personal Home Page (PHP) and using MySQL database. With theleave service system at the Lhokseumawe State Treasury Service Office (KPPN), employees will be able to more easilyaccess leave issues.
Aplikasi Mobile Salary Report Menggunakan Firebase Berbasis Android Pada PT ISMATIUR Rozzi Kesuma Dinata, Risawandi, Omy Hamzah
Jurnal Elektro dan Informatika Vol 2 No 2 (2021): September 2021
Publisher : LPPM-UNIKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5201/jet.v2i2.170

Abstract

The use of the Android operating system on smartphones has increased. However, there are still many agencies, such as PT ISMATIUR, that still use the manual method in sending employee salary reports. In this study, the authors developinformation technology in mobile form, namely the employee salary report application at PT ISMATIUR which will makeit easier for admins and employees to send or receive salary reports, employees receive reports in the form ofnotifications and view the report easily and efficiently. Broadly speaking, this android application will use AndroidStudio and Firebase services. Firebase is a service from Google in developing applications. Firebase has many featuresand can be used by developers to develop an application professionally, making it easier for employees to send andreceive reports quickly, easily and safely than before, which was still using the manual method.
Analisis Chebyshev Distance pada Algoritma K-Nearest Neighbor dalam Sistem Klasifikasi Rumah Sakit Rozzi Kesuma Dinata, Bustami, Ridwan
Jurnal Elektronika dan Teknologi Informasi Vol 3 No 2 (2022): September 2022
Publisher : LPPM-UNIKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5201/jet.v3i2.289

Abstract

Data mining is a process to find the pattern or interesting piece of information in selected data using the technique or certain methods. Techniques, the method or algorithm in data mining varies. In this research, the data mining is used to determine potential students drop out with using logarithm K-means. This system groups students at the Informatics of Engineering at University Islam Kebangsaan Indonesian, A generation 2019 until 2022. Data that are grouped into is the GPA (Grade Point Average) and the number of credits. That is needed by majors at the Informatics of Engineering at University Islam Kebangsaan Indonesian. Results from the system was a student groups critical market drop out. This system is expected to be able to help the way to know more students early critical market drop out and can take action to anticipate it. Keywords: Data Mining, Algorithm K-means, Drop out
E-Arsip Surat Tugas Pada Kantor Badan Pusat Statistik (BPS) Kabupaten Langkat Berbasis Website Sujacka Retno, Rozzi Kesuma Dinata, Aina Rahmadani
Jurnal Elektronika dan Teknologi Informasi Vol 4 No 1 (2023): Maret 2023
Publisher : LPPM-UNIKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5201/jet.v4i1.348

Abstract

BPS (Badan Pusat Statistik) is a non-ministerial government agency that is directly responsible to the President. The BPS office in Langkat Regency provides statistical data and information needed for sectoral and cross-sectoral planning and development. At the Langkat Regency BPS Office, the assignment letter management and archiving system is still carried out manually, by using a file cabinet. This manual data collection can make it difficult for officers to manage related to archiving letters and preparing reports so that this can hinder the performance of BPS officers. This research aims to overcome these problems by creating an e-archive system that aims to optimize the performance of officers at the Langkat Regency BPS office. The system was built using PHP and MySQL database.
Pengelompokan Daerah Padat Penduduk Untuk Penentuan Kawasan Perumahan di Kota Lhokseumawe Menggunakan K-Medoids Clustering Rozzi Kesuma Dinata, Furqan, Sujacka Retno
Jurnal Elektronika dan Teknologi Informasi Vol 4 No 1 (2023): Maret 2023
Publisher : LPPM-UNIKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5201/jet.v4i1.354

Abstract

Lhokseumawe city is one of the cities in Aceh province which has the second largest population after the city of Banda Aceh. With an area of 181.06 KM2 the population in Lhoseumawe reached 207.2 thousand in 2019. K-medoids on the population density clustering system in the city of Lhokseumawe is an application for clustering population density with very dense, dense and not dense clusters, with total data from 68 villages in the city of Lhokseumawe from 2017 to 2021. This research uses data mining techniques in the data management process using the K-medoids clustering method.
Penerapan Algoritma Random Forest dalam Deteksi dan Klasifikasi Ransomware Alvanof, Mulia; Bustami; Rozzi Kesuma Dinata
Jurnal Elektronika dan Teknologi Informasi Vol 5 No 2 (2024): September 2024
Publisher : LPPM-UNIKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5201/jet.v5i2.488

Abstract

Ransomware is a type of malware that blocks access to computer systems or data until a ransom is paid by the victim. Ransomware attacks typically occur due to malicious files that are unknowingly downloaded and installed by the victim onto their computer system. Given the threats and potential losses posed, methods for detecting and classifying ransomware continue to be developed, one of which utilizes the Random Forest machine learning algorithm. Random Forest is chosen for its advantages in handling large datasets, short training time, high prediction accuracy, and its ability to reduce the risk of overfitting. Using 1380 ransomware samples from a dataset with 54 features, 10 best features were selected through Feature Selection where the built Random Forest model successfully predicted ransomware files with an accuracy of 98.79%.
E-Arsip Surat Tugas Pada Kantor Badan Pusat Statistik (BPS) Kabupaten Langkat Berbasis Website Sujacka Retno, Rozzi Kesuma Dinata, Aina Rahmadani
Jurnal Elektronika dan Teknologi Informasi Vol 4 No 1 (2023): Maret 2023
Publisher : LPPM-UNIKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5201/jet.v4i1.401

Abstract

BPS (Badan Pusat Statistik) is a non-ministerial government agency that is directly responsible to the President. The BPS office in Langkat Regency provides statistical data and information needed for sectoral and cross-sectoral planning and development. At the Langkat Regency BPS Office, the assignment letter management and archiving system is still carried out manually, by using a file cabinet. This manual data collection can make it difficult for officers to manage related to archiving letters and preparing reports so that this can hinder the performance of BPS officers. This research aims to overcome these problems by creating an e-archive system that aims to optimize the performance of officers at the Langkat Regency BPS office. The system was built using PHP and MySQL database.
Pengelompokan Daerah Padat Penduduk Untuk Penentuan Kawasan Perumahan di Kota Lhokseumawe Menggunakan K-Medoids Clustering Rozzi Kesuma Dinata, Furqan, Sujacka Retno
Jurnal Elektronika dan Teknologi Informasi Vol 4 No 1 (2023): Maret 2023
Publisher : LPPM-UNIKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5201/jet.v4i1.407

Abstract

Lhokseumawe city is one of the cities in Aceh province which has the second largest population after the city of Banda Aceh. With an area of ​​181.06 KM2 the population in Lhoseumawe reached 207.2 thousand in 2019. K-medoids on the population density clustering system in the city of Lhokseumawe is an application for clustering population density with very dense, dense and not dense clusters, with total data from 68 villages in the city of Lhokseumawe from 2017 to 2021. This research uses data mining techniques in the data management process using the K-medoids clustering method.
Sistem Informasi Perpustakaan Prodi Teknik Informatika Universitas Malikussaleh Sujacka Retno, Rozzi Kesuma Dinata, Zeny Arsya Fortilla
Jurnal Elektronika dan Teknologi Informasi Vol 4 No 2 (2023): September 2023
Publisher : LPPM-UNIKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5201/jet.v4i2.410

Abstract

There are various problems in the Informatics Engineering library at Universitas Malikussaleh, one of which is book management, where this data is very necessary for the book data collection process. Considering the problems faced by staff in the library section, an idea was formulated to create a data processing system based on an information system. Fast, high-quality and smooth data processing is needed by all types of organizations to assist in achieving work goals or objectives, especially in the library section. This research aims to overcome this problem by creating a system that aims to optimize the performance of staff in the Informatics Engineering library at Universitas Malikussaleh. The system is built on a desktop basis.
Pemetaan Titik Penumpukan Sampah di Kota Lhokseumawe Menggunakan Metode Ant Colony Optimization Suhaeymi, Rozzi Kesuma Dinata, Zara Yunizar
Jurnal Elektronika dan Teknologi Informasi Vol 4 No 2 (2023): September 2023
Publisher : LPPM-UNIKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5201/jet.v4i2.413

Abstract

This research implements Ant Colony Optimization (ACO) to optimize waste collection routes in urban areas. The implementation utilizes the PHP, JS, and HTML programming languages, resulting in an interactive mapping application that facilitates community participation in identifying garbage accumulation locations. The research findings indicate that by employing ACO calculations with parameters α = 1.0 for pheromones and β = 2.0 for visibility, the best waste collection route was identified with a total distance of 9.565 km.The route begins at "Cunda Fish Market" (pheromone 0.1, visibility 3.321146121) heading towards "Beside the bus terminal" (distance 0.301 km), then continues to "Inpres Market" (pheromone 0.1, visibility 0.814261078, distance 1.228 km), "Pusong Lama Market" (pheromone 0.1, visibility 0.611779235, distance 1.635 km), "Lhokseumawe Reservoir behind the church" (pheromone 0.1, visibility 1.854365059, distance 0.539 km), and concludes at "Lhokseumawe State Polytechnic" (pheromone 0.1, visibility 0.170600122, distance 5.862 km).Each step reflects ant choices based on calculated probabilities, starting from the highest probability of 0.922322 in the first step to the lowest probability of 0.006391 in the last step. This research underscores the efficiency of the routes generated by ACO and demonstrates that bio-inspired algorithms such as ACO can be effectively applied to real logistics problems, providing responsive and adaptive solutions to the dynamics of urban environments.