Jurnal Ilmu Siber dan Teknologi Digital

Jurnal Ilmu Siber dan Teknologi Digital (JISTED) is a national, open-access and peer-reviewed journal welcoming high-quality manuscripts of original articles, reports and literature reviews in the field of software engineering and information technology. Jurnal Ilmu Siber dan Teknologi Digital (JISTED) aims to mediate the fresh ideas of researchers and practitioners to accelerate technology and cyber development.

Jurnal Ilmu Siber dan Teknologi Digital (JISTED) is a national, open-access and peer-reviewed journal welcoming high-quality manuscripts of original articles, reports and literature reviews in the field of software engineering and information technology. Jurnal Ilmu Siber dan Teknologi Digital (JISTED) aims to mediate the fresh ideas of researchers and practitioners to accelerate technology and cyber development.

Published
2022-11-11

Articles

Model Klasifikasi Berbasis Multiclass Classification dengan Kombinasi Indobert Embedding dan Long Short-Term Memory untuk Tweet Berbahasa Indonesia

Purpose: This research aims to improve the performance of the text classification model from previous studies, by combining the IndoBERT pre-trained model with the Long Short-Term Memory (LSTM) architecture in classifying Indonesian-language tweets into several categories. Method: The classification text based on multiclass classification was used in this research, combined with pre-trained IndoBERT namely Long Short-Term Memory (LTSM). The dataset was taken using crawling method from API Twitter. Then, it will be compared with Word2Vec-LTSM and fined-tuned IndoBERT. Result: The IndoBERT-LSTM model with the best hyperparameter combination scenario (batch size of 16, learning rate of 2e-5, and using average pooling) managed to get an F1-score of 98.90% on the unmodified dataset (0.70% increase from the Word2Vec-LSTM model and 0.40% from the fine-tuned IndoBERT model) and 92.83% on the modified dataset (4.51% increase from the Word2Vec-LSTM model and 0.69% from the fine-tuned IndoBERT model). However, the improvement from the fine-tuned IndoBERT model is not very significant and the Word2Vec-LSTM model has a much faster total training time.

Peran Computer Assited Test dalam Implementasi Penilaian di SD Negeri 005 Palaran

This research raises the problem of teachers' difficulties in assessing elementary school units, where it is still inefficient to have to multiply or duplicate questions for the exam, the lack of transparency of grades directly by parents, the hope of class teachers in this case wants to create an application that can help in the assessment process in the education unit with one of them being able to analyze answers and questions so that the teacher automatically knows the level of those who answered correctly and answered incorrectly, then a web-based application called the Computer Assisted Test was created. This application was designed using the PHP and MySql programming languages ??and then tested using the black box method. After that, the publication was carried out publicly using a domain and hosting with the site name https://catpsut.online. With a very good response, they even want this application to be used continuously in their school and hope that it can help and answer the problems experienced by schools, especially SDN 005 Palaran. Purpose: Tujuan dalam penelitian ini adalah membantu dalam solusi yang dialami oleh pihak sekolah, baik itu kepala sekolah, guru, murid, dan orang tua dalam sistem penilaian di sekolah terkhusus SD Negeri 005 Palaran Methodology: Dalam penelitian ini merancang aplikasi Computer Assited Test (CAT) dengan menggunakan pemrograman PHP dan MySql dengan pengujian dengan metode blackbox. Results: Dalam penelitiani ini tanggapan mulai dari pihak guru kelas VI, siswa, dan orang tua mendapat respon yang sangat bagus bahkan mereka bahkan berterima kasih dengan adanya aplikasi Computer Assited Test ini bisa membnatu dalam memantau akademik anak didik dan guru bisa mengambil kebijakan kebijakan dan dapat memantau akademik pesera didiknya. Limitations: Dalam penelitian ini akan terus dikembangkan mulai dari pengembangan aplikasi yang berlanjutan. Contribution: Penelitian ini memberikan kontribusi terhadap masalah yang dialami oleh satuan pendidikan SD Negeri 005 Palaran yang dalam aplikasi Computer Assited Test ini bisa diterapkan dan bisa membantu dalam memecahkan masalah tersebut.

Pengontrolan Bahaya Kebakaran Berbasis IOT pada Ruang Server SMFR Balai Monitor Spektrum Frekuensi Radio Kelas II Batam

Monitoring the security of the SMFR server room is one of the problems at the Batam Class II Radio Frequency Spectrum Monitoring Center, especially against fire hazards. Purpose: To control hazards that can interact with the internet as part of the IoT (Internet of things) so that early detection of fires can be carried out at any time and via a smartphone that displays data from fire sensors, smoke sensors and sensors, while the control measures are activation of alarms, exhausts, openings doors and windows as well as LEDs as fire extinguisher activation indicators so as to minimize equipment damage in the SMFR server room. Methodology: The implementation method used is the design and manufacture of server room miniatures, the design and manufacture of a control system using the Arduino Mega 2560, the design and manufacture of IoT monitoring and control as well as tool testing. Results: From the test results, when the input sensor data, namely fire, temperature and smoke, do not meet these conditions, there will be no fire, all fire handling actions are not active. However, if all the conditions for the input sensor data are met and the threshold value is determined, i.e. there is a smoke fire >37 ppm and a temperature >37? then these conditions will trigger a fire so that all fire handling actions in the form of alarms, exhausts, doors, windows, and LEDs will active. As well as sending fire notifications to Smartphones so that fire events can be detected and handled early. IoT-based testing is carried out using a 4G network, The test results show that Blynk supports capable IoT but depending on the type of real-time connection, the type of network connection used provides varying delay effects. The average delay that 4G produces isĀ  1 to 5 seconds.

Sistem Informasi Pariwisata Pantai Glory Melur Berbasis Web

After the Covid-19 pandemic that hit Indonesia, the government through the Ministry of Tourism and Creative Economy (Kemenparekraf) formulated several new policies to restore the tourism economy in Indonesia. The government also believes that this policy can attract foreign tourists to visit Indonesia, especially Bali, Batam and Bintan. Tourists can enjoy various tourist destinations in Batam. Glory Melur Beach is also one of the tourist attractions visited by many local and foreign tourists. Glory Melur Beach has various facilities that can be rented, but information regarding the rental of facilities is still limited. Purpose: For this reason, this study aims to create a web-based information system that can manage and disseminate information on Glory Melur beach tourism. Methodology: The system development method used is waterfall modeling. With this system, it is hoped that visitors can easily find out information about entrance ticket prices, rental rates for facilities and can find out information on the availability of halls at Glory Melur Beach because it can be accessed anywhere and anytime in any place that is connected to the internet. For this reason, in the future, Glory Melur beach management must always update the existing database with the latest tourism development information and complete this system according to technological developments by adding more complete features according to the needs of visitors. Results: The results of this study are to attract foreign and local tourists, the authors will create an information system on Glory Melur Beach. With this information system, it can make it easier for visitors to find information about the facilities and rental prices available at Glory Melur Beach. With this online Hall ordering system, it can make it easier for visitors and officers of Glory Melur Beach to easily order and manage the Hall, because it can be accessed anywhere and anytime in an internet-connected place.

Pengenalan Bahasa Isyarat Indonesia menggunakan Mediapipe dengan Model Random Forest dan Multinomial Logistic Regression

Purpose: This research aims to create a random forest machine learning model and logistic regression that can perform the sign language recognition of the Indonesian Sign Language System (SIBI) using a regular RGB camera with the MediaPipe framework. Research methodology: Both variables in this study are measured using Innovative Work Behavior (IWB) Scale from Janssen (2000) and Connor-Davidson Resilience Scale (CD-RISC) from Connor & Davidson (2003) that was distributed through Google Form link. The data analysis is done with the support of the 25th version of SPSS (Statistical Package for Social Science). Results: Resilience has a significant correlation with innovative work behavior among college students. Limitations: No strict controls of questionnaire administration, the questionnaire consists of 6 different measurements from the research team, and can't be fully generalized to the college students population. Contribution: New findings of correlation between two variables among new samples.