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All Journal ENGINEERING SITEKIN: Jurnal Sains, Teknologi dan Industri Jurnal Transformatika Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal of Applied Information, Communication and Technology (JAICT) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Elektrika Prosiding Konferensi Nasional PKM-CSR Jurnal Nasional Teknik Elektro dan Teknologi Informasi 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 Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences Other

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SIMULASI PH AIR UNTUK AIR BOILER DAN AIR CHILLER PADA MESIN PRODUKSI REFRIGERATOR DENGAN MENGGUNAKAN LOGIKA FUZZY Andhika Irawan; Sri Heranurweni; Titik Nurhayati
Elektrika Vol. 11 No. 1 (2019): April 2019
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (374.48 KB) | DOI: 10.26623/elektrika.v11i1.1541

Abstract

The need for water is very important for the production process, the water quality must also be considered the pH value so that the water is suitable for use in boilers or chillers. Seeing from these needs a simulation was made on matlab R2017a using a fuzzy toolbox that can find out the water quality with fuzzy mamdani method. This fuzzy logic simulation can determine the standard value of boiler water pH (10.5-11.5) and the standard pH value of chiller water (6-8) in the production machine. The methods in fuzzy logic used are mamdani and centroid methods as deffuzification with R2017a matlab simulation tool. The fuzzy inference system used is the mamdani method. This study made a simulation of mamdani method that can determine the quality of the PH water produced by using fuzzy logic. Chiller water pH can be used if iron ion values (0-2 ppm), silica ions (50-150 ppm), Total Dissolved Solid (TDS) (500-1000 ppm), total Hardness (100-200 ppm), M-alkalinity (500-750 ppm) from the standard value, the pH of the chiller water can be proven to reach a water pH value of 6-8. Boiler water pH can be used if iron ion values (0-2 ppm), silica ions (100-150 ppm), Total Dissolved Solid (TDS) (2000-3500 ppm), total Hardness (0-3 ppm), M-alkalinity (700-800 ppm) from the standard value, the pH of boiler water can be proven to reach a water pH value of 10.5-11.5.Keywords: fuzzy logic, Mamdani method, pH of boiler water
RANCANG BANGUN PROTOTYPE SMART HOME DENGAN KONSEP INTERNET OF THINGS (IOT) MENGGUNAKAN RASPBERRY PI BERBASIS WEB Bagus Eryawan; Ari Endang Jayati; Sri Heranurweni
Elektrika Vol. 11 No. 2 (2019): Oktober 2019
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (609.102 KB) | DOI: 10.26623/elektrika.v11i2.1691

Abstract

High economic growth makes the demand for comfortable and safe houses increase and the application of technology that is most clearly seen is technology with automatic systems. With this technology, the use of electricity in the house can be minimized and offer convenience in controlling the house. Sometimes homeowners forget to turn off the lights when they are outside the house so they have to go back and do checks that are very inefficient both in terms of time and financially such as the cost of gasoline to return to the house. Based on this, the Smart Home Prototype was created with the concept of the Internet of Things (IoT) using Raspberry Pi Web-Based, which is a system that can remotely control electronic home appliances using Raspberry Pi as a base system, which is connected to Web Applications through the internet network. The electronic equipment used in this study is in the form of 5 lamps, 1 stepper motor to control the garage, 1 servo motor to control the door lock, and 1 brushless motor that functions as a fan. Blocking and overall test results on Bedroom Lights, Living Room Lights, Kitchen Lights, Bathroom Lights, Porch Lights, Garages, Door Locks, and Fans, all work well. The testing of the distance between cities against the Prototype Smart Home was successfully carried out, where the Prototype Smart Home in the City of Demak was successfully controlled by the User who at the time of testing was in the City of Semarang, Kudus, Japan, Surabaya, and Jakarta.
PREDIKSI BEBAN ENERGI LISTRIK APJ KOTA SEMARANG MENGGUNAKAN METODE RADIAL BASIS FUNCTION (RBF) Mukti Dwi Cahyo; Sri Heranurweni; Harmini Harmini
Elektrika Vol. 11 No. 2 (2019): Oktober 2019
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (696.005 KB) | DOI: 10.26623/elektrika.v11i2.1699

Abstract

Electric power is one of the main needs of society today, ranging from household consumers to industry. The demand for electricity increases every year. So as to achieve adjustments between power generation and power demand, the electricity provider (PLN) must know the load needs or electricity demand for some time to come. There are many studies on the prediction of electricity loads in electricity, but they are not specific to each consumer sector. One of the predictions of this electrical load can be done using the Radial Basis Function Artificial Neural Network (ANN) method. This method uses training data learning from 2010 - 2017 as a reference data. Calculations with this method are based on empirical experience of electricity provider planning which is relatively difficult to do, especially in terms of corrections that need to be made to changes in load. This study specifically predicts the electricity load in the Semarang Rayon network service area in 2019-2024. The results of this Artificial Neural Network produce projected electricity demand needs in 2019-2024 with an average annual increase of 1.01% and peak load in 2019-2024. The highest peak load in 2024 and the dominating average is the household sector with an increase of 1% per year. The accuracy results of the Radial Basis Function model reached 95%.
Perkiraan Pemakaian dan Kebutuhan Beban Energi Listrik Rayon Juwana Menggunakan Jaringan Saraf Tiruan (Radial Basis Function) Moh Tamam Edy Fitriyan; Sri Heranurweni; Harmini Harmini
Elektrika Vol. 13 No. 1 (2021): April 2021
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/elektrika.v13i1.3329

Abstract

Along with the development of the times the need for electrical energy is increasing. PT. PLN (Persero) as a company that supplies electrical energy must be able to meet the needs of electrical energy to run a business to supply electric power in an even amount to meet the needs of the household, industrial, social and business sectors.. The purpose of this research to determine how much the growth of electrical loads in 2020 to 2025 at PT. PLN (Persero) Rayon Juwana. To find out the amount of increase in electrical energy required. Electrical data used data for 8 years, from 2012 to 2019. The results of this study are in the form of an estimate of the use and need for load electrical energy load for the next 5 years, from 2020 to 2025, the data used are the number of subscribers, connected power, and the amount of energy using a simulated neural network with the method (radial basis function). the results of this study an increase per year an average of 1% per year. in 2019 the value is 1.07%, in 2020 it is 1.10%, 2021 is 1.21%, for 2022 it is 1.27%, 2023 is 1.28%, 2024 is 1.17% and 2025 is 1.31 %.
Desain Telemedicine Asam Urat Berbasis Internet of Things (IoT) Agus Supriyanto; Andi Kurniawan Nugroho; Sri Heranurweni
Elektrika Vol. 15 No. 1 (2023): April 2023
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/elektrika.v15i1.6004

Abstract

Gout is the final metabolite of purines. Purines are part of the nucleic acids found in the nuclei of body cells. Increased gout can cause rheumatic pain in the joint area and is often associated with extreme pain for those exposed to the disease. Doctors need to monitor so that they can assist patients in monitoring and treatment. Gout detection devices are only available in hospitals, clinics, health centers, laboratories, and equipment that was previously portable but could not be controlled directly by a doctor. The purpose of this study is to help make it easier for doctors to monitor patients with gout remotely or telemedicine via the internet. The research method uses blood to determine gout levels using the Internet of Things. Data acquisition is carried out with a resistance sensor (Authocheck) which is processed by the Arduino microcontroller. The processed data is then sent to the ESP8266 web server via WiFi. The use of the Internet of Things as a data transmission method for online use does not require human-to-human interaction. The sensor resistance value in the analog range obtained is 441.03 to 782.32 with a sensor voltage of 1.91 to 3.82 volts. The measured gout level is between 4 mg/dL and 8 mg/dL. The percentage of measured data with an average accuracy of 95.74% and an average error rate of 4.26% for the seven test data. Data is displayed directly on the device's LCD screen and on a web server that sends data from the ESP8266. Keywords: gout, Internet of Things, resistance sensor (Autocheck), telemedicine, web server ABSTRAKAsam urat merupakan metabolit akhir dari purin. Purin adalah bagian dari asam nukleat yang ditemukan dalam inti sel tubuh. Asam urat yang meningkat dapat menyebabkan nyeri rematik di area persendian dan sering dikaitkan dengan rasa sakit yang luar biasa bagi yang terpapar penyakit. Dokter perlu memantau agar dapat membantu pasien dalam pemantauan dan pengobatan. Alat pendeteksi asam urat hanya terdapat di rumah sakit, klinik, puskesmas, laboratorium dan alat-alat yang sebelumnya portable namun tidak dapat dikontrol langsung oleh dokter. Tujuan dari penelitian ini membantu memudahkan dokter untuk memantau pasien dengan penyakit asam urat secara jarak jauh atau telemedicine melalui internet. Metode penelitian menggunakan darah untuk menentukan kadar asam urat menggunakan Internet of Things. Akuisisi data dilakukan dengan sensor resistansi (Authocheck) yang diproses oleh mikrokontroler Arduino. Data yang telah diproses kemudian dikirim ke web server ESP8266 melalui  WiFi. Penggunaan Internet of Things sebagai metode transmisi data untuk penggunaan secara online tidak memerlukan interaksi manusia ke  manusia. Nilai  resistansi sensor pada rentang analog yang diperoleh adalah 441,03 hingga 782,32 dengan tegangan sensor 1,91 hingga 3,82 volt. Kadar asam urat yang diukur adalah antara 4 mg/dL dan 8 mg/dL. Persentase data terukur dengan akurasi rata-rata 95,74% dan rata-rata tingkat kesalahan  4,26% untuk tujuh data uji. Data ditampilkan langsung di layar LCD perangkat dan di web server yang mengirimkan data dari ESP8266.
PELATIHAN MIKROKONTROLLER ARM Cortex-M0 NUVUTON BAGI SISWA SMPN 23 KOTA SEMARANG Sri Heranurweni; Budiani Destyningtias
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.
Co-Authors Agus Supriyanto Ananta Wahyu P Andhika Irawan Andi Kurniawan Andi Kurniawan Nugroho Ari Endang Jayanti, Ari Endang Ari Endang Jayati Ari Endang Jayati Azizah, Devi Nur Bagus Eryawan Bangun Marhendra, Vendi Budiani Destyningtias Eko Supriyanto Erwinnanto, Yohan Fahrudin Ahmad Fajri Prasojo Generousdi - Hanny Nurrani Harmini Harmini Hendra Ady Juliartadi Idris, La Ode Muhamad Iswoyo Iswoyo M. Sipan Minarti, Wahyu Moh Tamam Edy Fitriyan Mukti Dwi Cahyo Muliandhi, Puri Noor Arifin Sipan, M. Supari Supari Titik Nurhayati Titik Nurhayati Ulfatun Khasanah Yusuf Nurul hilal