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All Journal Jurnal Elementer (Elektro dan Mesin Terapan) Proceeding Applied Business and Engineering Conference SNTE

Wiwin Styorini

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Author-ID : 3806250

Religion Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Articles

Peningkatan Akurasi Wireless Positioning System Menggunakan Cluster Filter K-NN Surya Maryadi; Muhammad Diono; Wiwin Styorini
Jurnal Elektro dan Mesin Terapan Vol. 3 No. 2 (2017): Jurnal Elektro dan Mesin Terapan (ELEMENTER)
Publisher : Politeknik Caltex Riau

Wireless Positioning System (WPS) merupakan sebuah teknologi yang sudah banyak dikembangkan sekarang ini, Alasannya adalah karena penggunaan Global Positioning System (GPS) tidak dapat berfungsi dengan baik ketika berada di dalam gedung. Penelitian ini akan membuat sebuah web yang di harapkan dapat digunakan sebagai sistem penentuan posisi di dalam sebuah gedung. Sistem ini akan meningkatkan keakurasian dari penelitian terdahulu dengan melakukan penambahan jumlah data variable dan menggunakan Cluster Filter. Pengerjaan ini akan menggunakan beberapa alat seperti access point dimana yang berguna sebagai acuan data dari sistem ini dan juga kemudian dengan menggunakan database untuk menyimpan dan mengolah data.Dimana dari pengujian didapatkan nilai akurasi pengukuran tanpa mengunakan cluster adalah sebesar 58 % dan pengukuran dengan menggunakan cluster 85,33 % Kata kunci:WPS (Wireless Positioning System), GPS (Global Positioning System), Cluster Filter

Computer Aided Diagnosis (CAD) untuk Phonocardiogram (PCG) Berbasis Fast Fourier Tranform Yuli Triyani; Wahyuni Khabzli; Noptin Harpawi; Wiwin Styorini
Jurnal Elektro dan Mesin Terapan Vol. 7 No. 1 (2021): Jurnal Elektro dan Mesin Terapan (ELEMENTER)
Publisher : Politeknik Caltex Riau

Data from WHO 2015 shows that 70% of deaths in the world are caused by non-infection diseases, 45% are caused by heart and blood vessel disease, namely 17.7 million from 39.5 million deaths. Riset Kesehatan Dasar (Riskesdas) reported that in 2018, there were 15 of 1000 people, or 2,784,064 individuals in Indonesia suffering from heart disease. Symptoms of heart abnormalities often come suddenly. Therefore, early recognition can help to avoid heart attacks. Doctors currently use a heart sound / phonocardiogram (PCG) to assess the performance of the heart using a stethoscope. The PCG’s diagnosis is very influenced by the subjectivity of doctors because of its relatively weak and physical limitations. So that the possibility of a False Positive Result happening is quite high. To minimize this risk, a Computer Aided Diagnosis (CAD) PCG signal was developed. Several studies have proposed a PCG diagnostic method using the wavelet or Welch method and based on Neural Network are more complex. In this study, a simple diagnosis method is proposed so that the computation is easier and faster with good accuracy. The PCG signal is amplified twice, then the Fast Fourier Transform (FFT) process is carried out to obtain the characteristics of the fundamental frequency and max amplitude. The classification stage uses the Multi Layer Perceptron (MLP). From testing of 55 data PCG, the results obtained accuracy of 90%, sensitivity of 80%, PPV of 100% and NPV of 83.33%. Keywords: PCG, CAD, FFT, frekuensi fundamental, classification

Sistem Pengontrolan dan Monitoring Budidaya Sarang Burung Walet Berbasis Android Cyntia Widiasari; Ryan Pratama; Wiwin Styorini
Jurnal Elektro dan Mesin Terapan Vol. 7 No. 2 (2021): Jurnal Elektro dan Mesin Terapan (ELEMENTER)
Publisher : Politeknik Caltex Riau

In the cultivation of swallow nests, swallow breeders experience problems, especially in maintaining the temperature and humidity of the room in the wallet bird house. Swallow breeders must be able to maintain a stable temperature and humidity and maintain the safety of the swallow from owl pests. When the temperature is hot, the swallow room will become dry so that the nest becomes damaged and the swallow feels uncomfortable living in the nest. Based on this, a control and monitoring system for swallow nest cultivation based on Android was created. This system can help reduce the temperature and humidity in the swallow nest room using a dew machine that works automatically and the swallow room door can open/close automatically using an application on a smartphone. This system can work well if given a supply voltage of AC220V and DC12V. The dew machine will work (ON) if the temperature is above 29°C or the humidity is less than 70%. The sensor read data will be sent by the NodeMCU to the blynk server and displayed on the smartphone. The swallow room door can be opened or closed based on the light intensity value measured on the LDR sensor which is then sent to the NodeMCU to drive the motor driver and stepper motor. With this system, farmers are expected to be able to monitor and control the condition of swallow’s nests using the blynk application on smartphones in real time. Key words: Swallow's nest, temperature, humidity, swallow room door, dew machine, blynk application

Rancang Bangun Alat Voltage Loss Detector Pada Transformator Percabangan Edy Saputra; Muhammad Diono; Wiwin Styorini; Cyntia Widiasari
Jurnal Elektro dan Mesin Terapan Vol. 8 No. 1 (2022): Jurnal Elektro dan Mesin Terapan (ELEMENTER)
Publisher : Politeknik Caltex Riau

Branching transformers are transformers located at the branching of the Medium Voltage (TM) network. The output from this transformer will be forwarded to the homes of the public/PLN customers. The loss of voltage in the branching transformer due to a disturbance in the electricity network cannot be known by PLN officers before receiving a report from the public, so the duration of the blackout is very long. This is certainly very detrimental to the community and PLN. Voltage Loss Detector is designed to detect loss/ready voltage on branching transformers. This tool uses a ZMPT101B voltage sensor to detect voltage, an Arduino uno microcontroller and a GSM SIM800L module to send messages. After testing, this tool successfully sends a message when the voltage is ready/loss. The voltage values read by the ZMPT101B sensor on the R, S and T phases are 223.36 volts, 222.02 volts and 220.18 volts, while the voltage using a multimeter measuring instrument is 223 volts, 222 volts and 220 volts. The highest time Delay in receiving messages in the room is 20 seconds. The highest time Delay in receiving messages outdoors is 15 seconds. The signal quality of the GSM SIM800L module will affect the Delay in receiving messages. With this tool, power outages in branching transformers will be immediately noticed by PLN officers for follow-up.

Rancang Bangun Robot Smart Farming Berbasis Computer Numerical Control (Sensor dan Monitoring) Ilham Eka Putra; Wiwin Styorini
ABEC Indonesia Vol. 9 (2021): 9th Applied Business and Engineering Conference
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar

Urban farming is an activity of farming in urban areas by using the yard area or corners of the house efficiently. The obstacle is the urban community who spend a lot of time working outside. Therefore, tools are needed to do watering, planting seeds, and monitoring plants based on the internet of things. The main objective of this research is to create a sophisticated agricultural system with IOT applications, it can easily maintain the farm, this robot which will later be named Robot Smart Farming (SF-BOT). SF-BOT has options for planting seeds, measuring soil moisture and watering. To implement this feature, SF-BOT works from the Soil Moisture Sensor reading with the help of Arduino and Raspberry pi. In addition SF-BOT can also be to plant seeds and show monitoring and can make streaming video in realtime.SF-BOT is controlled via webserver interface to select a menu of vegetables to be planted and select the point of planting. In addition, it can also display sensor monitoring and video streaming. The results of the DHT sensor accuration of 98,69 % and magnetic sensor accuration of 100%. The measurement results can be displayed and can be monitored from the webserver. Keywords: SF-BOT, Soil Moisture, Arduino, Raspberry pi, Internet of Things

Alat Pendeteksi Kebisingan Suara Berbasis Internet of Things di Perpustakaan Soeman HS Wiwin Styorini; Nababan, Citra Yanti; Emansa Hasri Putra
Seminar Nasional Teknik Elektro Vol. 4 No. 1 (2025): SNTE III
Publisher : Forum Pendidikan Tinggi Teknik Elektro Indonesia Pusat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46962/snte.25.074

Perpustakaan sebagai pusat sumber pengetahuan memerlukan suasana tenang untuk mendukung kegiatan belajar. Namun, kebisingan akibat aktivitas pengunjung sering mengganggu kenyamanan. Penelitian ini mengembangkan alat pendeteksi kebisingan berbasis IoT di perpustakaan Soeman HS Pekanbaru menggunakan mikrokontroler Wemos D1 dengan konektivitas WiFi. Sistem ini memantau tingkat kebisingan melalui sensor suara analog dan memberikan peringatan berupa voice alert dan tampilan teks di LCD ketika melebihi ambang batas 55 dB. Hasil kalibrasi menunjukkan akurasi sensor dengan selisih 2,06 dB terhadap Noise Level Meter. Untuk optimalisasi kualitas audio, alat dirancang menggunakan enclosure kayu MDF dan menghasilkan suara yang jernih. Sistem juga mengirim notifikasi real-time ke Telegram, dengan delay yang bergantung pada bandwidth jaringan (50 Mbps) dan jumlah pengunjung di perpustakaan Soeman HS Pekanbaru.

Co-Authors Cyntia Widiasari Edy Saputra Emansa Hasri Putra Muhammad Diono Nababan, Citra Yanti Noptin Harpawi Ryan Pratama Salsabila, Unik Hanifah Surya Maryadi Wahyuni Khabzli Yuli Triyani

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