cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Ahmad Rizal Sultan
Contact Email
-
Phone
+62411585367
Journal Mail Official
jurnal-elektrika@poliupg.ac.id
Editorial Address
Jurusan Teknik Elektro Kampus 2 Moncongloe Jl. Tamalanrea Raya (BTP) Makassar 90245
Location
Kota makassar,
Sulawesi selatan
INDONESIA
Jurnal Teknologi Elekterika
Published by Politeknik Negeri Ujung Pandang
ISSN : 14128764     EISSN : 26560143     DOI : http://dx.doi.org/10.31963/elekterika
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering
Jurnal Teknologi Elekterika: Jurnal penelitian PNUP sebagai wadah komunikasi ilmiah antar akademisi, peneliti dan praktisi dalam menyebarluaskan hasil penelitian bidang rumpun elektro dan informatika yaitu teknik listrik, energi, elektronika, kontrol, telekomunikasi, komputer dan jaringan, dan Multimedia.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 13 Documents
 1   2 
Search results for , issue "Vol. 20 No. 2 (2023)" : 13 Documents clear
Analisis Spektogram Sinyal Suara Asli dan Suara Hasil Konversi Berbasis Derivative Gelombang Glotal Hartono, Sriwijanaka Yudi; Suyuti, Saidah; Asmara, Bambang Panji; Ashad, Bayu Adrian; Hamzidah, Nurul Khaerani
Jurnal Teknologi Elekterika Vol. 20 No. 2 (2023)
Publisher : Jurusan Teknik Elektro Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/elekterika.v20i2.4525

Abstract

Ucapan manusia yang dihasilkan oleh suatu sistem produksi yang dibentuk oleh alat – alat ucap manusia. Proses ini dimulai dengan formulasi pesan dalam otak pembicara (penutur), pesan tersebut selanjutny akan diubah menjadi perintah-perintah yang diberikan kepada alat-alat ucap manusia sehingga dihasilkan ucapan yang sesuai dengan pesan yang ingin disampaikan. Transformasi sinyal suara (speech) berbasis derivative gelombang glottal digunakan dengan metode Liljenctranct fant. Pada metode ini parameter yang berperang penting adalah open Quotient (OQ), Speed Quotiont (SQ), formant dan pitch.  Keempat parameter tersebut sangat berpengaruh dalam menentukan kualitas konversi suara.  Spektogram adalah suatu representasi dari warna suara atau spektral yang bervariasi terhadap waktu yang menunjukkan tingkat insitas energi spektral (density Spectral). Berdasarkan dari data base sinyal suara yang diproses secara pengolahan sinyal digital diperoleh adanya perbedaan ketajaman spektral pada spektogram antara sinyal asli dengan sinyal konversi, dimana tingkat ketajaman spektral warna hasil konversi lebih tinggi dari pada spektral suara asli.  Hal ini dikarenakan adanya penguatan intensitas lebih dari spektral akibat transformasi derivative dari gelombang glottal akibat parameter OQ, SQ, formant dan pitch.  Sinyal suara yang dihasilkan tidak berubah baik bentuk sinyal maupun durasinya, yang berubah hanyalah warna suaranya. Untuk membedakan suara hasil konversi darri suara pria lain dan suara wanita yaitu dengan merubah besarnya nilai keempat parameter tersebut secara tepat.
SENSOR MQ-2 DETEKSI ASAP ROKOK BERBASIS INTERNET OF THINGS Umar, Nuraeni; A. K., Sahbuddin; Halide, Lidemar; Rusjdi, Maudy Imayanthi; Ijsam, Ismah Afifah
Jurnal Teknologi Elekterika Vol. 20 No. 2 (2023)
Publisher : Jurusan Teknik Elektro Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/elekterika.v20i2.4637

Abstract

Cigarette smoke contains toxic chemicals such as carbon monoxide (CO), nicotine and tar. The dangerous/poisonous ingredients in cigarettes cause health problems for those who smoke (active smokers) or those who don't smoke (passive smokers). To avoid the accumulation of cigarette smoke in the room, this research was created and carried out to detect cigarette smoke and reduce the levels of cigarette smoke in the room. Fan. will emit cigarette smoke into the room. The results of the detection of cigarette smoke levels will be sent to Labtop. This system was built using an MQ-2 sensor, ESP8266 microcontroller. The implementation of the cigarette smoke detection system is installed in 3 different rooms/places and is accessed by Internet of Things (IoT) network users. The research results show that every room where this system is installed will send data from cigarette smoke detection results to the lab. The MQ-2 sensor detects cigarette smoke, the data is sent to the internet network via the ESP8266, the data will be displayed on the laptop. From the sample test the tool responded well. This system will activate the fan at certain levels of cigarette smoke to reduce the level of cigarette smoke in the room. When the level is 0 ppm with the Green LED indicator on, the fan is not working or OFF. When the level shows 7 ppm the LED indicator lights up yellow and the fan will turn ON. For the red LED, the cigarette smoke level displayed is 32 ppm with the fan ON. These results prove that the system is functioning properly, detecting and controlling the operation of the fan to remove cigarette smoke from the room and transmit data to the internet network.
Analisis Sistem Security Information and Event Management (SIEM) Aplikasi Wazuh pada Dinas Komunikasi Informatika Statistik dan Persandian Sulawesi Selatan Nas, Mardhiyah; Ulfiah, Farchia; Putri, Ulya
Jurnal Teknologi Elekterika Vol. 20 No. 2 (2023)
Publisher : Jurusan Teknik Elektro Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/elekterika.v20i2.4536

Abstract

The South Sulawesi Communication Informatics Statistics and Standardization Office is an implementer of government affairs that assists in carrying out government affairs in the fields of communication, informatics, statistics, and signage. Currently, agencies are utilizing technological developments to maximize their performance, such as the use of web servers to provide information and provide services. But of course this can cause problems such as data theft. Because of the many threats that can attack at any time. Therefore, an application is needed that can prevent this from happening. In order to overcome this, a monitoring system is implemented using the Wazuh application which is an application of SIEM. to find out how this application works in the event of an attack, testing will be carried out using 2 types of attacks, namely Distributed Denial of Service (DDoS) Slowloris and Brute Force. In this test, data will be taken in the form of application responses, namely the response time of the Wazuh application and the classification of the Wazuh application level against DDoS and Brute Force attacks which will be displayed on the Wazuh application Dashboard. Based on the test results, the wazuh application successfully detects DDoS Slowloris and Brute force attacks and can classify these two attacks at levels 3 to 10.

Page 2 of 2 | Total Record : 13

 1   2 

Filter by Year

2023 2023


Reset
Filter By Issues
All Issue Vol. 22 No. 2 (2025): Nopember Vol. 22 No. 1 (2025) Vol. 21 No. 2 (2024) Vol. 21 No. 1 (2024) Vol. 20 No. 2 (2023) Vol. 20 No. 1 (2023) Vol. 19 No. 2 (2022): Nopember Vol. 19 No. 1 (2022): Mei Vol 18, No 2 (2021): Nopember Vol 18, No 1 (2021): Mei Vol 17, No 2 (2020): Nopember Vol 17, No 1 (2020): Mei Vol 16, No 2 (2019): Nopember Vol 16, No 1 (2019): Mei Vol 15, No 2 (2018): Nopember Vol 15, No 1 (2018): Mei Vol 14, No 2 (2017): Nopember Vol 14, No 1 (2017): mei Vol 13, No 2 (2016): Nopember Vol 13, No 1 (2016): Mei Vol 12, No 1 (2015): Edisi Cetak (Januari 2015,Tahun 12, No 1) More Issue