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INDONESIA
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING
Published by Universitas Medan Area
ISSN : 25496247     EISSN : 25496255     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Engineering
JURNAL TEKNIK INFORMATIKA, JITE (Journal of Informatics and Telecommunication Engineering) is a journal that contains articles / publications and research results of scientific work related to the field of science of Informatics Engineering such as Software Engineering, Database, Data Mining, Network, Telecommunication and Artificial Intelligence which published and managed by the Faculty of Informatics Engineering at the University of Medan Area .
Arjuna Subject : -
Articles 412 Documents
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Application of the Service Quality Method to Assess the Quality of Administrative Services at universities Ali Ibrahim; Karisa Anjani Fakhri; Endang Lestari Ruskan; Dedy Kurniawan; Allsela Meiriza
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 7 No. 1 (2023): Issues July 2023
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v7i1.9636

Abstract

Salah satu bentuk pelayanan dari pelayanan di perguruan tinggi adalah pelayanan administrasi. Perguruan tinggi sudah seharusnya dapat menjamin kepuasan mahasiswa yang merupakan pelanggan bagi perguruan tinggi, tidak hanya dalam proses belajar mengajar, namun juga mencakup dalam pelayanan administrasi. salah satunya di Universitas Sriwijaya. Begitu pula dengan Fakultas Ilmu Komputer sebagai bagian dari Universitas Sriwijaya yang bertanggung jawab atas pengelolaan bagian pelayanan administrasi khususnya pelayanan yang bersifat secara manual. Untuk mengukur bagaimana mahasiswa mempersepsikan kualitas layanan administrasi di Fakultas Ilmu Komputer Universitas Sriwijaya, diperlukan penggunaan metode pengukuran yang tepat. Salah satu metode yang sering digunakan untuk mengukur kualitas pelayanan adalah metode Servqual (Service Quality). Metode ini terdiri dari lima dimensi kualitas pelayanan, yaitu kehandalan (reliability), keyakinan/jaminan (assurance), empati (empathy), daya tanggap (responsiveness), dan bukti fisik (tangibles). Kelima dimensi ini digunakan untuk mengukur kualitas pelayanan administrasi, sehingga diharapkan akan dapat diketahui apakah kinerja kualitas pelayanan administrasi telah sesuai dengan keinginan mahasiswa, faktor apa saja yang mempengaruhi tingkat kualitas pelayanan yang diberikan, dan faktor apa saja yang perlu mendapat perbaikan. Skor rata-rata persepi yang didapatkan sebesar 3,98 dan skor rata-rata harapan mahasiswa sebesar 4,47 sehingga didapatkan nilai kesenjangan (gap) antara persepsi dan harapan sebesar -0,49 yang menunjukkan bahwa pelanggan merasa belum puas terhadap pelayanan yang diberikan oleh administrasi Fakultas Ilmu Komputer Universitas Sriwijaya
Analysis of The Multilayer Perceptron Algorithm on Twitter User’s Sentiment Towards The COVID-19 Vaccine Fordinand Halomoan Pasaribu; Nurul Khairina; Dian Noviandri; Susilawati Susilawati; Rahmad Syah
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 7 No. 1 (2023): Issues July 2023
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v7i1.9664

Abstract

The World Health Organization (WHO) declared COVID-19 a global pandemic due to its rapid spread and infection of people worldwide. The emergence of COVID-19 vaccines has garnered both support and rejection from the public. Some people support the vaccines, while others remain cautious, even though the government provides them for free. The procurement of coronavirus vaccines has generated diverse opinions in society. COVID-19 vaccines have become a trending topic on social media, particularly on Twitter. This research aims to explore public opinions on the COVID-19 vaccine. The methods used in this study include data collection, text preprocessing, TF-IDF, multilayer perceptron algorithm, and testing with confusion matrices. Out of a total of 228,208 positive, negative, and neutral opinions from Twitter users about the COVID-19 vaccine, with a training-to-testing ratio of 90% to 100%, the model will learn more by using a large amount of training data. The performance results of this research obtained the highest accuracy of 81.2%, precision of 83.8%, and recall of 71.2%. The results of sentiment analysis can be seen in the public opinions on the COVID-19 vaccine, which are divided into three categories: 35% positive opinions, 16.3% negative opinions, and 48.7% neutral opinions. The word cloud results show that positive opinions revolve around three topics: availability, cost, and dosage. Negative opinions from Twitter users about the COVID-19 vaccine focus on two main issues: vaccine side effects and deaths. Neutral opinions cover three topics, including dosage, availability, age, and expiration date
Design and Build a Network Security System Using Port Knocking, DMZ and IDS Techniques at SMA Negeri 1 Warungkiara Somantri Somantri; Rahman Zulkarnaen; Gina Purnama Insany
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 7 No. 1 (2023): Issues July 2023
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v7i1.9674

Abstract

The network security system of SMA Negeri 1 Warungkiara needs improvement to be more effective in safeguarding data integrity and confidentiality. Currently, it only relies on a filter rule security, which is not robust enough to fend off hacker attacks. Therefore, advanced security techniques such as Port Knocking, DMZ, and IDS are required. Port Knocking serves as additional authentication by accessing ports in a specific sequence to prevent unauthorized access. DMZ is used to isolate the internal network from direct attacks. IDS is used to detect suspicious activities and alert the administrator. The system was tested against various attacks such as port scanning, DDoS, and Ping of Death, and it was proven to reduce server resource usage from 34% to 6%. The test results show that this security system provides strong protection and preserves the integrity and confidentiality of data within the school network.
Design and Development an e-Lapor Application to Support Public Complaint Services in Tunjungtirto Village Fikriansyah Dava Agustyar; Addin Aditya; Siti Aminah; Arif Tirtana
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 7 No. 1 (2023): Issues July 2023
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v7i1.9762

Abstract

The process of public complaints is carried out in a structured manner starting from the central government level to the village government level. In practice, the problem in the public complaint process is when the community as the service user is dissatisfied with the services provided because the complaints submitted are not properly managed or responded to by the complaint officer. The business process for public complaint services in Tunjungtirto village is still carried out conventionally, where people who wish to submit complaints must go to the Village Consultative Body (BPD) office and fill in complaints or aspirations in the community aspirations data book. This is prone to conditions where public complaints are not followed up because they are not properly recorded. This study aims to build a website-based information system with features for complaints, aspirations, and requests for information. The system development method used in this study is the waterfall method where the method is sequential-based software development. The results of application development will be tested at the Tunjungtirto Village BPD office. Based on black box testing, the test results are obtained with a maximum score of 2 for each feature. This shows that in terms of functionality, the application is running according to its purpose. The existence of main features such as displaying complaint data and automatic notifications on the application can assist village officials in managing community complaints and responding to and following up on complaints to the service or escalating complaints to the local government so that community complaints can be managed properly.
The Nutritional Classification of Pregnant Women Using Support Vector Machine (SVM) ilham - sahputra; Bustami Bustami; Cut Farida Aryani
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 7 No. 1 (2023): Issues July 2023
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v7i1.9764

Abstract

Determining the nutritional status of pregnant women is one of the efforts to control the condition of pregnant women so that they can adjust their health conditions properly. The health condition of pregnant women can affect the condition of the baby who will be born. This study aims to apply the SVM method to a web-based application to classify the nutritional status of pregnant women based on data obtained from several health centers in the city of Lhokseumawe. SVM functions as the core of the application in charge of classifying the nutritional status of pregnant women based on several features including: age, weight, height, lila, hemoglobin and BMI. While the data class consists of 3 categories, namely: undernourished, normal nutrition and normal nutrition + overweight. Primary data obtained from the field amounted to 355 data which were then divided into two parts with a ratio of 70% training data and 30% testing data. Based on the research conducted, it was found that the application of different kernels in the Support Vector Machine (SVM) will have a different performance impact in classifying data. In this study, the linear kernel has the best performance with an accuracy value of 0.84, the RBF kernel has an accuracy value of 0.83, the polynomial kernel has an accuracy value of 0.72, and the sigmoid kernel has the worst performance with an accuracy value of 0.58
Model for Estimating Waste Generation in Pekanbaru Using Backpropagation Algorithm Farahdina Risky Ramadani; Inggih Permana; M. Afdal; Siti Monalisa
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 7 No. 1 (2023): Issues July 2023
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v7i1.9767

Abstract

Waste generation in Pekanbaru City cannot be managed optimally. Based on 2020 data, less than 50% of the waste that reaches the Final Disposal Site (TPA) reaches. To overcome this problem, this study aims to create an estimation model that can estimate the amount of waste generated each year. So that it can help the authorities to implement various policies to control waste generation. The estimation model is created using the backpropagation algorithm. The attributes used are those related to population and waste generation. Based on the results of experiments conducted using RapidMiner, the best network architecture model is the 6-6-1 model, namely six nodes in the input layer, six nodes in the hidden layer, and one node in the output layer. The six nodes in the input layer refer to the number of attributes used. The activation function used is binary sigmoid. The RMSE value generated from the best model is very low, namely 0.0181. So it can be concluded that this model can be used to estimate the generation of solid waste in Pekanbaru City
Aspect-Based Sentiment Analysis On FLIP Application Reviews (Play Store) Using Support Vector Machine (SVM) Algorithm Nurul Hidayati; Faqih Hamami; Riska Yanu Fa’rifah
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 7 No. 1 (2023): Issues July 2023
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v7i1.9768

Abstract

The development of fintech has driven the rapid growth of e-wallets like Flip, offering a convenient solution for interbank transfers without administrative fees. User reviews on the Play Store serve as crucial feedback for understanding the user experience. This research utilizes aspect-based sentiment analysis (ABSA) in combination with the SVM method to detect opinions, perceptions, and reviews pertaining to Flip's speed, security, and cost aspects. The objective is to provide valuable insights to both users and companies regarding their experiences with Flip in conducting financial transactions. The study employs a dataset comprising 13,500 preprocessed and cleansed data points, followed by TF-IDF vectorization. The data is divided into training and testing sets, utilizing techniques such as the train-test split and K-Fold Cross Validation to assess model performance. GridSearch analysis reveals that specific parameter combinations, notably C=1.0 and test_size=0.1, yield high accuracy across all aspects, with the linear kernel displaying the highest overall accuracy. Model evaluation is conducted using the confusion matrix and classification report, presenting accuracy, precision, recall, and F1-scores for each aspect. Notably, the Support Vector Machine model performs well, particularly in the speed, security, and cost aspects, where the cost aspect demonstrates exceptionally strong results. In summary, this study employs ABSA to analyze Flip application reviews, with the Support Vector Machine model showcasing impressive performance across various aspects, providing valuable insights for users and companies engaging with Flip's financial transaction services.Keywords: aspect-based sentiment analysis, support vector machine, reviews, Flip
Design and Construction of 2.4 Ghz Omnidirectional Antenna as Wireless LAN Transmitter (Case Study at Bukit Indah Campus, Malikussaleh University) Rizal Tjut Adek; Rahmat Rinaldi; Ilham Sahputra; Mukhlis
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 7 No. 1 (2023): Issues July 2023
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v7i1.9820

Abstract

Communication with a wireless system is one of the mainstay communications so that communication integration is achieved. For this reason, Malikussaleh University provides a wifi network on each campus, one of which is the Bukit Indah campus. So that the achievement of wifi access points on mobile devices needs to be improved so that it is achieved properly. Therefore it is necessary to optimize the placement of access points on the Malikussaleh University wifi network. Modeling an omnidirectional antenna that has a range of 360 ° is one solution. The method applied is to design and build an omnidirectional antenna on the Bukit Indah Campus of Malikussaleh University. Based on simulations on Mobile Radio, the largest network pathloss is 116.2 dB and the smallest is 102.0 dB. The results of omidirectional antenna testing conducted 5 times obtained the largest download speed worth 3.18 Mbps with 314ms ping at a distance of 30 meters and the smallest download speed worth 0.55Mbps with 195ms ping at a distance of 150 meters. The farther the distance of the antenna the lower the ping and packet loss, from the test results obtained an average ping of 267.8ms and the largest packet loss percentage of 0.4%. The ideal distance for this antenna is 30 to 110 meters and can even get a longer distance provided there are no obstacles. With this distance it is ideal for an assembled antenna with makeshift materials that we often encounter in everyday life.
The Effectiveness Of OpenCV Based Face Detection In Low-Light Environments Julham; Sandy S T Hutagalung; Kevin C Simalango; Samuel Lumbantobing
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 7 No. 1 (2023): Issues July 2023
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v7i1.9851

Abstract

A face detection experiment based on OpenCV is a technology used to identify and find human faces in digital images or videos. This technology uses algorithms and image processing techniques to analyze the pixels in an image or video frame and determine if they contain a human face. The aim of this research is to determine the effectiveness of OpenCV-based face detection using the Viola-Jones algorithm with low-intensity brightness environmental conditions. The research was conducted with light intensity levels of 10 Lux, 30 Lux, and 50 Lux and was carried out using the camera on the ASUS TUF DASH 15 FX517ZC laptop. Data in evaluation using evaluation metrics containing the formula recall, precision, F-Score, and accuracy. The results of the study showed that experiments with higher light intensities up to 50 Lux showed the best level of efficiency according to the accuracy values (99.2%), f-score(0.996), and recall (0.993), so the system is best done with a brightness of 50 Lux. Face detection is affected by the camera that used, in addition, rotation of face is important for the system to detect faces, despite video recording in high light intensity environments
Analysis and Prediction of Relative Humidity Level using Generalized Linear Model Adi Nugroho; Aditya Pramada Wicaksono; Achmad Choiruddin
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 7 No. 1 (2023): Issues July 2023
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v7i1.9896

Abstract

The significance of humidity as a critical climate parameter impacts various sectors, including agriculture, health, and energy, necessitating a comprehensive understanding of its influencing factors. This study investigates the influence of climatic variables such as temperature, rainfall, sunshine duration, wind speed, and wind direction on the humidity levels in DKI Jakarta from 2019 to 2022. The objective is to develop a time-independent predictive model for humidity based on historical climate data. The methodology includes data pre-processing to impute missing values and replace outliers, followed by exploratory data analysis to ascertain variable distribution and inter-relationships. A regression model was initially employed for analysis, with subsequent application of regularization via a generalized linear model to enhance prediction accuracy. Results indicate that temperature, rainfall, sunshine duration, and wind direction significantly impact humidity levels in the investigated period. High inter-variable correlation posed challenges of multicollinearity and overfitting in the initial model. However, the application of regularization, trained with 75% of the historical dataset, mitigated these issues and improved model accuracy. This is evident in the improved Mean Squared Error (MSE) performance metrics of the Elastic-Net Regression Model (12.2), compared to the initial Multiple Regression Model (12.5). These findings hold potential implications for weather forecasting and climate change studies

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