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All Journal Jusikom : Jurnal Sistem Komputer Musirawas Jurnal Teknik Informatika (JUTIF)
M Izman Herdiansyah
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Computer Science & IT

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KLASIFIKASI OPINI MASYARAKAT TENTANG HARGA KARET MENGGUNAKAN MACHINE LEARNING Yustida Bellini; M Izman Herdiansyah; Tri Basuki Kurniawan; Yesi Novaria Kunang
Jusikom : Jurnal Sistem Komputer Musirawas Vol 8 No 1 (2023): Jusikom : Jurnal Sistem Komputer Musirawas JUNI
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jusikom.v8i1.2058

Abstract

Indonesia is the world’s largest rubber producer after Thailand with an average income of 3.107.544 tons/year, with these data many Indonesian people become rubber farmers to make ends meet. The price of rubber has a large impact on the lives of the Indonesian people so that when the price of tubber decreases or increases, many people speculate and have opinions about the price of rubber, therefore this study aims to classify public opinion regarding the price of rubber. People’s opinions and expressions regarding the price of rubber are often expressed by them on the social networking site Twitter, Twitter is the most common public means of expressing the emotions of people all over the world today. In this study, the classification of public opinion regarding rubber prices was carried out based on public opinion on the social networking site Twitter. The purpose of this study is to find out the sentiments circulating on Twitter regarding the price of rubber using Naïve Bayes algorithm. Based on the result of the research that has been done, negative sentiment is obtained by 92% and positive sentiment is obtained by 62%, while the accuracy value is obtained by 84%. The conclusion of this study is that the community has more negative than positive opinions about the price of rubber.
KLASIFIKASI OPINI MASYARAKAT TENTANG HARGA KARET MENGGUNAKAN MACHINE LEARNING Yustida Bellini; M Izman Herdiansyah; Tri Basuki Kurniawan; Yesi Novaria Kunang
Jusikom : Jurnal Sistem Komputer Musirawas Vol 8 No 1 (2023): Jusikom : Jurnal Sistem Komputer Musirawas JUNI
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jusikom.v8i1.2058

Abstract

Indonesia is the world’s largest rubber producer after Thailand with an average income of 3.107.544 tons/year, with these data many Indonesian people become rubber farmers to make ends meet. The price of rubber has a large impact on the lives of the Indonesian people so that when the price of tubber decreases or increases, many people speculate and have opinions about the price of rubber, therefore this study aims to classify public opinion regarding the price of rubber. People’s opinions and expressions regarding the price of rubber are often expressed by them on the social networking site Twitter, Twitter is the most common public means of expressing the emotions of people all over the world today. In this study, the classification of public opinion regarding rubber prices was carried out based on public opinion on the social networking site Twitter. The purpose of this study is to find out the sentiments circulating on Twitter regarding the price of rubber using Naïve Bayes algorithm. Based on the result of the research that has been done, negative sentiment is obtained by 92% and positive sentiment is obtained by 62%, while the accuracy value is obtained by 84%. The conclusion of this study is that the community has more negative than positive opinions about the price of rubber.
COMMUNICATION SECURITY IN THE MQTT PROTOCOL FOR MONITORING INTERNET OF THINGS DEVICES USING METHODS ELLIPTIC CURVE CRYPTOGRAPHY Axel Natanael Salim; Tata Sutabri; Edi Surya Negara; M Izman Herdiansyah
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 2 (2024): JUTIF Volume 5, Number 2, April 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.2.1916

Abstract

The emergence of the IoT has become one of the most significant technology trends. The application of IoT is aimed at enhancing efficiency, comfort, and facilitating various human activities. One key aspect of IoT implementation is efficient communication between devices, with one of the most commonly used protocols being MQTT protocol. MQTT enables the transmission of data in real-time or based on specific events, although there are still several challenges that need to be addressed. One of the main challenges of MQTT is information security issues, prompting this research to examine effective solutions to enhance communication security in IoT applications that utilize MQTT protocol. One method of securing communication between IoT devices can involve using lightweight cryptographic communication security methods such as ECC method. ECC method is chosen because it utilizes shorter keys while still providing high security, making it more efficient when implemented on IoT devices. The results obtained indicate that data sent to MQTT Broker cannot be read and converted manually, ensuring much safer data transmission. Based on the test results, the tool can effectively read, process, and send data to MQTT Broker. QoS measurements on the system revealed that data encrypted and sent from the subscriber to MQTT Broker had an average delay time of 54.1 ms, throughput of 410.4 bps, zero packet loss, and jitter of 0.00 ms. Looking at the research findings, it can be concluded that this ECC method could serve as a solution to data communication security issues in the MQTT protocol.
Co-Authors Axel Natanael Salim Edi Surya Negara Tata Sutabri Tri Basuki Kurniawan Yesi Novaria Kunang Yustida Bellini