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Journal of Informatics Management and Information Technology
Published by Forum Kerjasama Pendidikan TInggi
ISSN : -     EISSN : 27744744     DOI : -
Core Subject : Science,
Computer Science & IT
Journal of Informatics Management and Information Technology, memiliki kajian pada bidang: 1. Manajemen Informatika, 2. Sistem Informasi, dan 3. Teknologi Informasi
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol. 4 No. 3 (2024): July 2024" : 5 Documents clear
Peningkatan Infrastruktur Jaringan Internet Melalui Antena LiteBeam 5 GHz Wahyu Indra Tama
Journal of Informatics Management and Information Technology Vol. 4 No. 3 (2024): July 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v4i3.399

Abstract

SMK Negeri 1 Kutalimbaru, as an educational institution, understands that a fast and reliable internet connection is the key to supporting an effective teaching and learning process. However, the current situation still has obstacles related to the quality of the local internet network at SMK Negeri 1 Kutalimbaru, this causes the teaching and learning process and the implementation of computer-based exams in the computer laboratory to be constrained and not optimal. The purpose of this study is to optimize the quality of the computer laboratory internet network at SMK Negeri 1 Kutalimbaru by implementing LiteBeam 5 GHz antenna technology using point-to-point protocol and collecting data on the quality of the school computer laboratory internet network before and after implementing LiteBeam 5 GHz antenna technology on the SMK Negeri 1 Kutalimbaru internet network infrastructure. This study uses the QoS (Quality of Service) method with parameters of throughput, packet loss, latency and jitter. The results of the study of measuring the quality of the school computer laboratory internet network before the implementation of LiteBeam 5 GHz antenna technology on the SMK Negeri 1 Kutalimbaru internet network infrastructure when used by 5 users obtained an overall QoS index value of 3.25 which is in the "good" category. While when used by 30 users, the overall QoS index value was 3 which is in the "good" category. Measurement of the quality of the school computer laboratory internet network after the implementation of LiteBeam 5 GHz antenna technology on the SMK Negeri 1 Kutalimbaru internet network infrastructure when used by 5 users, the overall QoS index value was 4 which is in the "very good" category. While when used by 30 users, the overall QoS index value was 4 which is in the "very good" category. Based on the results of the measurement of the school computer laboratory internet network, it is concluded that the implementation of LiteBeam 5 GHz antenna technology on the SMK Negeri 1 Kutalimbaru internet network infrastructure has succeeded in providing an optimal improvement in the quality of the school computer laboratory internet network
Analisis Sentimen Pengguna Terhadap Aplikasi Indodana Di Google Play Store Menggunakan Metode Naive Bayes Classifier Rifqi Rizaldi; Aryanti, Riska
Journal of Informatics Management and Information Technology Vol. 4 No. 3 (2024): July 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v4i3.400

Abstract

This research aims to evaluate user responses to the Indodana: Paylater & Pinjaman application through sentiment analysis using the naive bayes algorithm. Online lending apps such as Indodana have changed the way individuals access finance by providing a quick and easy process. However, the user's decision to choose a legal app and pay attention to the transparency of fees and loan terms is crucial. With more than ten million downloads and two million reviews, it is important to understand user sentiment so that developers can improve services and maintain public trust. A sentiment analysis method using multinominal naive bayes was used with two labelling approaches inset lexicon and rating. The evaluation was conducted on 500 Indodana: Paylater & Pinjaman reviews, dividing the data into training and testing and using TF-IDF features. The results show that inset lexicon labelling achieved 86% accuracy, whereas rating-based labelling achieved 87% accuracy. These results provide an in-depth view of user responses, aiding in the identification of factors that influence positive or negative perceptions of the app. As such, this research is important for guiding the development of safe, reliable, and compliant online lending applications, as well as for improving overall user satisfaction
Kriptografi Ringan dengan Menggunakan Algoritma di Internet Of Things (IoT) Rudhi Wahyudi Febrianto; Zulianto, Arief
Journal of Informatics Management and Information Technology Vol. 4 No. 3 (2024): July 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v4i3.403

Abstract

Internet of Things (IoT) allows objects to generate data and exchange data. IoT applications using microcontrollers such as Arduino do not yet have features to maintain the security of the data in them. Additionally, Arduino has limited computing capabilities. Therefore, it is necessary to apply cryptography with algorithms that have low computation on the Arduino to maintain data security. Cryptography needs to be applied to IoT applications using microcontrollers to maintain the security of data transaction processes and maintain the authenticity of the origin of data. The application of cryptography on microcontrollers must also be light and able to run on microcontrollers, especially Arduino microcontrollers. On Arduino, computing capabilities are limited but most existing security computing algorithms have high computation. Therefore, the applied cryptographic protocol must have efficient algorithms and low computational capabilities. Our research goal is to understand whether lightweight cryptographic approaches can be used to foster secure IoT by design. As a first step in our research process, we conducted a systematic literature review on lightweight cryptography to gather knowledge about the use of this technology and to document its current level. We found 5 use cases of lightweight cryptography in the literature. We also found several problems in that the algorithm execution time on the Arduino Uno was twice as long as the algorithm execution time on a PC. Changes in the value of the data length and digital signature pair affected the results of verifying the validity of the digital signature. We document and categorize current uses of lightweight cryptography, and provide several recommendations for future work to address the issues mentioned above
Implementasi Metode Simple Additive Weighting (SAW) untuk Sistem Pendukung Keputusan Pemilihan Dosen Favorit Mahasiswa Desyanti, Desyanti; Mesran, Mesran; Windia Ambarsari, Erlin
Journal of Informatics Management and Information Technology Vol. 4 No. 3 (2024): July 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v4i3.406

Abstract

College X in Dumai City always strives to continuously improve internal quality so that it can compete with other universities. One effort to improve quality is by assessing lecturer performance every year. So far, the process of selecting outstanding lecturers or favorite lecturers is still based on the subjectivity of those who choose, so there is a lack of transparency in the selection process. This research discusses the application of the Simple Additive Weighting (SAW) method in a decision support system for selecting favorite lecturers at College X, Dumai. Lecturer performance assessment is based on criteria such as discipline, achievement, behavior, responsibility and communication, involving students as respondents. Data was collected through literature studies, interviews, observations and Likert scale-based questionnaires. The calculation process using the SAW method includes normalization of the decision matrix and ranking based on criteria weights. The research results show that the SAW method provides objective, transparent and systematic results in selecting favorite lecturers. The system developed is able to support universities in improving the quality of lecturers through more structured feedback.
Analisis Backpropagation Dalam Menentukan Jumlah Perusahaan Industri Besar Dan Sedang (IBS) Di Indonesia Pramesti, Adinda Frizy; Ramadana, Rica; Beauti, Intan; Febiola, Adinda; Windarto, Agus Perdana
Journal of Informatics Management and Information Technology Vol. 4 No. 3 (2024): July 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v4i4.414

Abstract

Companies are economic actors whose main function is to produce goods and services needed by the community. However, in 2020, the COVID-19 pandemic had an impact on various economic activities, causing many workers to lose their jobs and the unavailability of new jobs, which led to an increase in unemployment in Indonesia. Therefore, strategic steps are needed to prevent an increase in the number of unemployed. One of them is to forecast the number of IBS companies for the next few years. Implementing early prevention as a step to identify new job opportunities in the industry. The forecast data is the number of IBS companies (large and medium industrial companies) collected by BPS for the period 2015-2022. The algorithm used for prediction is a backpropagation artificial neural network. This algorithm is able to remember what existed before and make generalizations from it. This backpropagation algorithm uses five architectural models including 6-10-1, 6-20-1, 6-35-1, 6-45-1, and 6-60-1. Of the five architectural models used, the best architecture was chosen, namely 6-35-1 which has an accuracy of 88%, MSE of 0.003821515 and the error rate used is 0.001-0.07. So this architectural model is good enough to predict the number of IBS companies.

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