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All Journal ENGINEERING SITEKIN: Jurnal Sains, Teknologi dan Industri Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Elektrika Malcom: Indonesian Journal of Machine Learning and Computer Science Electrician : Jurnal Rekayasa dan Teknologi Elektro Tematik
Sri Heranurweni
Program Studi Teknik Elektro, Fakultas Teknik, Universitas Semarang
Aerospace Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Social Sciences Other

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54 Vol 10 No. 1 April 2015 PERANCANGAN MEDIA KOMPRESI VIDEO BERBASIS FAST MODE DECISION ALGORITHM Arifin, Noor; Heranurweni, Sri; Jayanti, Ari Endang
ENGINEERING Vol 10, No 1 (2015)
Publisher : ENGINEERING

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (314.018 KB)

Abstract

Kompresi video digital sangat dibutuhkan pada media video digital untuk menghemat ruang penyimpanan dan bandwidth yang besar tanpa mengurangi kualitasvideo yang terlalu signifikan. Sehingga dibutuhkan sebuah media kompresi yang mampu mengurangi ukuran file video agar lebih efisien.Untuk merancang media kompresi video pada penelitian ini digunakan bahasa pemrograman C# dengan format keluaran file video berupa .MP4 dan MKV. Hasil kompresi dianalisa nilai MSE dan PSNR pada frame  pertama.Hasil pengujian menunjukkan nilai PSNR berada pada kisaran 30dB sampai 50dB sesuai standar yang diperbolehkan ITU-T 2014.Kata kunci : kompresi, video, PSNR.
54 Vol 10 No. 1 April 2015 PERANCANGAN MEDIA KOMPRESI VIDEO BERBASIS FAST MODE DECISION ALGORITHM Arifin, Noor; Heranurweni, Sri; Jayanti, Ari Endang
ENGINEERING Vol 10, No 1 (2015)
Publisher : Universitas Pancasakti Tegal

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (314.018 KB)

Abstract

Kompresi video digital sangat dibutuhkan pada media video digital untuk menghemat ruang penyimpanan dan bandwidth yang besar tanpa mengurangi kualitasvideo yang terlalu signifikan. Sehingga dibutuhkan sebuah media kompresi yang mampu mengurangi ukuran file video agar lebih efisien.Untuk merancang media kompresi video pada penelitian ini digunakan bahasa pemrograman C# dengan format keluaran file video berupa .MP4 dan MKV. Hasil kompresi dianalisa nilai MSE dan PSNR pada frame  pertama.Hasil pengujian menunjukkan nilai PSNR berada pada kisaran 30dB sampai 50dB sesuai standar yang diperbolehkan ITU-T 2014.Kata kunci : kompresi, video, PSNR.
SISTEM MONITORING PENGENDALI DAN PENGHITUNG WAKTU PADA DRAG RACE BERBASIS MIKROKONTROLER AT MEGA 8535 Bangun Marhendra, Vendi; Heranurweni, Sri
eLEKTRIKA Vol 9, No 2 (2017): Oktober 2017
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/elektrika.v9i2.1164

Abstract

In a drag race, which is often held by race organizers. The process of determining the jump start and determining who crosses the first finish line still relies on human monitoring. Manually recording (stopwatch) is not enough because there are many inhibiting factors, including: operator, start theft by drivers, recording results, damage to the stopwatch and others. The drag race is often held during the day. The hot weather will cause someone to get tired quickly, in this case it is aimed at the person who is the operator who monitors the theft of the start and the operator at the finish line because the person is in the middle of a very hot track. Based on the reasons mentioned above, it is necessary to have a controller and timer system on the ATMega8535 microcontrollerbased drag race. Making this tool will facilitate the work of humans in obtaining information in the racing arena that does not allow humans to do it manually, so that accurate data is obtained.Keywords: Atmega 8535 microcontroller, jump start, stopwatch
RANCANG BANGUN SMART HOME AUTOMATIC CONTROL dengan KOMUNIKASI MELALUI BLUETOOTH HC-05 BERBASIS MIKROKONTROLER ARDUINO dan ANDROID Erwinnanto, Yohan; Kurniawan Nugroho, Andi; Heranurweni, Sri
eLEKTRIKA Vol 9, No 2 (2017): Oktober 2017
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/elektrika.v9i2.1161

Abstract

Design of Smart Home Automatic Control with Communications Via Bluetooth HC-05-Based Microcontroller Arduino and Android, will provide all the comfort, safety, security and energy savings, which takes place automatically and programmed via microcontroller, the house or building. Design of Smart Home Automatic with Control Communications Via Bluetooth HC-05-Based Microcontroller Arduino and Android is intended for automatic control processes. The system consists of seven sensors, keypad password for security doors, HC-05 Bluetooth GSM alarm application and device control applications aktuaktor, and aktuaktor buzzer, dc motors, lights, fans and fan dc exhausting. Among these sensors is a PIR sensor to detect theft, sensor MQ6 to detect leakage of LPG gas and smoke from fires, sensor HC-SR04 ultrasonic for automatic garage doors, fire sensors to detect a fire, the sensor LM35 to detect the temperature of the room, when the room temperature is hot the fan will be on automatically, when the cold room temperature will shut off the fan and LDR sensor to detect the intensity of light during the day which turn the lights off automatically and vice versa, thus saving energy. Homeowners can also control lights and monitoring sensors with android phones that are connected with communication via Bluetooth HC-05 microcontroller arduino, and can receive GSM alarm application sensors such as calling and sms. Test results are used UART communication data transmission between the microcontroller serial monitor monitor has an error of 0 % . HC - 05 Bluetooth can accept orders at the farthest distance of 11 meters . The fire sensor can work well when the fire was 110 cm . Sensor HC - SR04 is already working with an error rate of 0.3 %, so the accuracy of this tool by 100 % - 0.3 % = 99.7 % .Keywords : Security Door , Bluetooth HC - 05 , Microcontroller Arduino and Android , Application Control and Application GSM alarm.
Analisa Teknis Penetapan Kanal Frekuensi Radio Untuk Lembaga Penyiaran Radio Komunitas Wilayah Kabupaten Batang jayati, Ari endang; Minarti, Wahyu; Heranurweni, Sri
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol 5 No 2 (2021)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/eltikom.v5i2.361

Abstract

The radio frequency spectrum constitutes a limited and strategic natural resource with high economic value, so it must be managed effectively and efficiently to obtain optimal benefits by observing national and international legal principles. Radio Community Broadcasting Institution uses limited frequency allocation in three channels, namely, in the frequency channels 202 (107.7 MHz), 203 (107.8 MHz), and 204 (107.9 MHz), with limited transmit power and area coverage. The problem in this research is the frequency overlap with other community radios in an area. The issue raised is whether it is possible to establish a new community radio in the Batang Regency area by paying attention to existing radios that have licenses in districts/cities that are in the area directly adjacent to Batang Regency by considering the limited allocation of radio frequency channels community, without the occurrence of radio frequency interference with other community radios. The purpose of this research is to solve these problems. It is necessary to have a policy in determining radio frequency users to get good quality radio broadcast reception. The method used is to analyze the frequency determination technique based on the interference analysis on other community broadcasters. By using the Radio Mobile Software for frequency repetition simulation, in this research, the results show that Batang FM Community Radio does not allow to get frequency channels for community radio operations. After all, it interferes with the Service Area of ​​Soneta FM Radio in Pekalongan City because it does not meet the requirements for determining the frequency channel = Eu> NF, namely the Nuisance Field (NF) value of 109.7 dB is greater than the Minimum Usable Field strength (Eu) of 66 dB. In comparison, Limpung FM Radio gets radio frequency on channel 203 (frequency 107.8 MHz) because it meets the requirements for determining the frequency channel = Eu> NF, namely the Minimum Usable Field strength (Eu) 66 dB greater than the Nuisance Field (NF) of 55.7 dB.
RANCANG BANGUN ANTENA MICROSTRIP 900 MHz UNTUK SISTEM GSM Ananta Wahyu P; Ari Endang Jayati; Sri Heranurweni
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 12, No 1 (2014): Desember 2014
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v12i1.775

Abstract

Penelitian ini mengeksplorasi pembuatan antena mikrostrip dengan frekuensi kerja 900 MHz untuk jaringan GSM (Global System For Mobile Communication). Antena mikrostrip berbentuk persegi panjang dengan substrat epoxy fiberglass yang memiliki konstanta dielektrik 4.8. Parameter yang harus diperhatikan dalam merancang adalah pola radiasi antena, gain, VSWR (Voltage Standing Wave Ratio), bandwidth, dan impedansi masukan. Dalam penelitian ini dirancang antena microstrip pada frekuensi 900 MHz. Dengan parameter gain 7,83 dB, VSWR 1,29, bandwidth 10 MHz dan impedansi input 62,57 + j7,01Ω. Simulasi menggunakan perangkat lunak MMANAGAL V.1.20.20.
PELATIHAN MIKROKONTROLLER ARM Cortex-M0 NUVUTON BAGI SISWA SMPN 23 KOTA SEMARANG Heranurweni, Sri; Destyningtias, Budiani
TEMATIK Vol. 1 No. 2 (2021): Juli
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/tmt.v1i2.3519

Abstract

Mikrokontroler AVR merupakan salah satu jenis arsitektur mikrokontroler yang menjadi andalan Atmel. Arsitektur ini dirancang memiliki berbagai kelebihan dan merupakan penyempurnaan dari arsitektur mikrokontroler- mikrokontroler yang sudah ada. Semakin berkembangnya teknologi terutama di bidang kendali dan kurangnya pemahaman siswa SMPN 23 Semarang dalam bidang mikrokontroler menjadikan alasan untuk diadakannya pelatihan Mikrokontroler ARM Cortex MO Nuvuton di kota Semarang. Pelatihan ini sudah terlaksana pada hari Selasa 5 Januari 2021 sevara daring dengan menggunakan oom meeting diikuti oleh peserta 4 siswa.
Analisa Teknis Penetapan Kanal Frekuensi Radio Untuk Lembaga Penyiaran Radio Komunitas Wilayah Kabupaten Batang jayati, Ari endang; Minarti, Wahyu; Heranurweni, Sri
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol. 5 No. 2 (2021)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/eltikom.v5i2.361

Abstract

The radio frequency spectrum constitutes a limited and strategic natural resource with high economic value, so it must be managed effectively and efficiently to obtain optimal benefits by observing national and international legal principles. Radio Community Broadcasting Institution uses limited frequency allocation in three channels, namely, in the frequency channels 202 (107.7 MHz), 203 (107.8 MHz), and 204 (107.9 MHz), with limited transmit power and area coverage. The problem in this research is the frequency overlap with other community radios in an area. The issue raised is whether it is possible to establish a new community radio in the Batang Regency area by paying attention to existing radios that have licenses in districts/cities that are in the area directly adjacent to Batang Regency by considering the limited allocation of radio frequency channels community, without the occurrence of radio frequency interference with other community radios. The purpose of this research is to solve these problems. It is necessary to have a policy in determining radio frequency users to get good quality radio broadcast reception. The method used is to analyze the frequency determination technique based on the interference analysis on other community broadcasters. By using the Radio Mobile Software for frequency repetition simulation, in this research, the results show that Batang FM Community Radio does not allow to get frequency channels for community radio operations. After all, it interferes with the Service Area of ​​Soneta FM Radio in Pekalongan City because it does not meet the requirements for determining the frequency channel = Eu> NF, namely the Nuisance Field (NF) value of 109.7 dB is greater than the Minimum Usable Field strength (Eu) of 66 dB. In comparison, Limpung FM Radio gets radio frequency on channel 203 (frequency 107.8 MHz) because it meets the requirements for determining the frequency channel = Eu> NF, namely the Minimum Usable Field strength (Eu) 66 dB greater than the Nuisance Field (NF) of 55.7 dB.
Internet of Things Based Air Quality Monitoring System with Automatic Notification Azizah, Devi Nur; Heranurweni, Sri; Idris, La Ode Muhamad
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 5 No. 3 (2025): MALCOM July 2025
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v5i3.1945

Abstract

Internet of Things (IoT)-based air quality monitoring systems represent a significant advancement in urban environmental management. This research implements a system that integrates PM2.5, PM10, CO2, and NO2 sensors for real-time monitoring of pollutants. The results showed that the integration of IoT technology with cloud computing and machine learning algorithms successfully created a responsive and accurate monitoring system. The model achieved maximum accuracy during the training process, with promising predictive capabilities in real-world implementation. The main findings of the study confirmed that the Weighted Class (WC) approach significantly improved performance in the testing and prediction process by addressing class imbalance in the dataset, while the Data Augmentation (DA) technique did not show the expected improvement due to the intrinsic characteristics of air quality data. The automatic notification system successfully provides early warnings when air quality exceeds specified thresholds, enabling proactive responses from authorities and the public. The implementation of a web-based monitoring dashboard provides comprehensive visualization of data for long-term analysis. This research contributes to the development of smart cities by providing an effective framework for air quality management, supporting data-driven decision-making, and increasing public awareness of environmental conditions.
Klasifikasi Jenis Penyakit Tumor Otak Menggunakan Convolutional Neural Network Arsitektur Inception-V3 Juliartadi, Hendra Ady; Nugroho, Andi Kurniawan; Heranurweni, Sri; Nurhayati, Titik
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 19 No. 3 (2025)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v19n3.2868

Abstract

Tumor otak merupakan salah satu penyakit yang paling mengancam nyawa dan memerlukan diagnosis yang akurat. Salah satu tantangan utama dalam mendiagnosis tumor otak terletak pada kesamaan visual antara jenis tumor pada gambar MRI, yang seringkali menyulitkan klasifikasi manual. Untuk mengatasi hal ini, sistem klasifikasi berbasis deep learning dikembangkan menggunakan metode Convolutional Neural Network (CNN) dengan arsitektur Inception-V3. Data yang digunakan diperoleh dari Kaggle dan terdiri dari empat kelas glioma, meningioma, pituitari, dan notumor. Penelitian ini menerapkan teknik pre-procesing seperti Contrast Limited Adaptive Histogram Equalization (CLAHE) dan augmentasi data untuk meningkatkan kinerja model. Berbagai kombinasi hyperparameters diuji, dan kinerja terbaik dicapai dengan batch size 32 dan learning rate 0,0001. Model mencapai accuracy 97,92%, precision 98%, recall 98%, dan F1-score 98%. Selain itu, arsitektur Inception-V3 dibandingkan dengan arsitektur lain yaitu MobileNetV2 dan ResNet50, yang mencapai accuracy 83,67% dan 71,79%. Hasil menunjukkan bahwa arsitektur Inception-V3 unggul dalam mengklasifikasikan jenis tumor otak dari gambar MRI. Penelitian ini diharapkan dapat berkontribusi dalam meningkatkan akurasi dan kecepatan diagnosis tumor otak bagi medis.
Co-Authors Agus Supriyanto Ananta Wahyu P Andi Kurniawan Nugroho Ari Endang Jayanti, Ari Endang Ari Endang Jayati Ari Endang Jayati Azizah, Devi Nur Bangun Marhendra, Vendi Bangun Marhendra, Vendi Budiani Destyningtias Cahyo, Mukti Dwi Dwi Handayani, Iryan Erwinnanto, Yohan Erwinnanto, Yohan Eryawan, Bagus Fahrudin Ahmad Fitriyan, Moh Tamam Edy Harmini, Harmini Idris, La Ode Muhamad Irawan, Andhika Juliartadi, Hendra Ady Khasanah, Ulfatun Kurniawan N, Andi Kurniawan Nugroho, Andi Kurniawan Nugroho, Andi Minarti, Wahyu Noor Arifin Nurul hilal, Yusuf Sipan, M. Supari Supari, Supari Titik Nurhayati