Garuda - Garba Rujukan Digital

Pengenalan dan Analisis Ucapan pada Sistem Kontrol Perangkat Listrik Menggunakan Arduino Uno Dania Eridani; Ivan Sanusi; Eko Didik Widianto
Jurnal Teknologi dan Sistem Komputer Volume 6, Issue 1, Year 2018 (January 2018)
Publisher : Department of Computer Engineering, Engineering Faculty, Universitas Diponegoro

This study aims to develop an electrical device control system using speech recognition and perform the analysis factors that affect the accuracy of speech recognition. The system used the Arduino Uno as the main control board of the system, an Elechouse's voice recognition module as speech processing device and several output devices such as relays, LEDs and an LCD. This research resulted in 92,7% accuracy of speech recognition at the ideal condition and 66,85% at the noise condition. This study shows that the frequency, amplitude, slow tempo and timbre of command speech greatly affect the success of speech recognition.

Aplikasi Simulasi dan Main Angklung (Saung) Berbasis Android Danal Meizantaka Daeanza; Oky Dwi Nurhayati; Dania Eridani
Jurnal Teknologi dan Sistem Komputer Volume 5, Nomor 1, Tahun 2017 (Januari 2017)
Publisher : Department of Computer Engineering, Engineering Faculty, Universitas Diponegoro

The modern way of thinking cause traditional music instruments start to lose its enthusiasm. Today’s generation is more familiar with multimedia features presented by computers. Angklung which is one of the world heritage of musical instruments from Indonesian culture is the one that affected by the rapid technology development. Based on such situation, this research is conducted to design a mobile device application which introduces Angklung. The Application is implemented on a mobile device with Android Operating System. The method used in this research is Multimedia Development Life Cycle (MDLC). The evaluation of this application uses two parameters, the Black-box method, and questionnaire. Black-box method evaluation results showed that this application is running according to specification requirements. The result obtained from the questionnaire with Likert scale showed the average score for each question is 88%. So it can be concluded that the application gains positive feedback and has been qualified to be considered as good.

Simple LoRa Protocol: Protokol Komunikasi LoRa Untuk Sistem Pemantauan Multisensor Eko Didik Widianto; Al Arthur Faizal; Dania Eridani; Richard Dwi Olympus Augustinus; Michael SM Pakpahan
TELKA - Jurnal Telekomunikasi, Elektronika, Komputasi dan Kontrol Vol 5, No 2 (2019): TELKA
Publisher : Jurusan Teknik Elektro UIN Sunan Gunung Djati Bandung

Standar terbuka pada sistem komunikasi LoRa (Long Range) menyebabkan perbedaan cara implementasi dalam setiap penggunaannya. LoRaWAN (Long Range Wide Area Network) sebagai protokol bawaan LoRa masih mempunyai beberapa kekurangan yang menyebabkannya kurang efektif untuk diimplementasikan pada sistem tertentu. Penelitian ini mengembangkan protokol SLP (Simple LoRa Protocol) sebagai alternatif protokol komunikasi dan arsitektur jaringan yang didesain berdasarkan kekurangan yang dimiliki oleh LoRaWAN. Protokol ini mendefinisikan format data dan proses komunikasi antara client dan gateway dalam mode setup untuk pendaftaran node secara mandiri dan polling untuk transaksi data. Proses setup mampu mengenali node dengan konfigurasi sensor beragam dan dapat mengirmkan data dari node ke gateway dengan baik. Hasil pengujian menunjukkan bahwa SLP menghasilkan peningkatan performa QoS dalam throughput dan packet loss dari LoRaWAN menggunakan modulasi yang sama.

TERAPI “PAKET BAHAGIA” BERBASIS TEKNOLOGI INFORMASI SEBAGAI TATALAKSANA PERAWATAN PASIEN STROKE DI RUMAH BAGI KELUARGA YANG MERAWAT DAN KADER KESEHATAN DI KELURAHAN PUDAK PAYUNG : PENGABDIAN KEPADA MASYARAKAT Fitria Handayani; Rita Hadi Widyastuti; Dania Eridani
Jurnal Ilmu Keperawatan Komunitas Vol. 3 No. 1 (2020)
Publisher : Persatuan Perawat Nasional Indonesia (PPNI) Jawa Tengah

D Insiden stroke di Kota Semarang adalah 5798 pada tahun 2018. Kelurahan Pudak Payung memiliki pasien stroke 40 orang. Hasil penelitian menunjukan bahwa Terapi “Paket BAHAGIA” efektif untuk meningkatkan psikososial pasien. Keluarga dan Kader memerlukan ketrampilan dalam merawat pasien stroke di Kelurahan Pudak Payung. Tujuan kegiatan Pengabdian Kepada Masyarakat adalah meningkatkan ketrampilan kader dan keluarga dalam merawat pasien stroke. Metode kegiatan adalah pelatihan terapi “Paket BAHAGIA” kepada keluarga dan kader dalam merawat pasien stroke dirumah. Pelatihan 60 jam kepada 40 kader Kelurahan Pudak Payung dilakukan oleh tim keperawatan dan tim tehnologi Informasi Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Diponegoro. Pelatihan berbentuk pemberian materi, demonstrasi dan aktifitas mandiri. Hasil aktifitas Pengabdian Kepada Masyarakat menunjukan adanya peningkatan pengetahuan kader dan keluarga tentang stroke dan ketrampilan perawatan pasien stroke di rumah (p<0.05). Pengabdian Kepada Masyarakat dalam pelatihan terapi “Paket BAHAGIA” dapat diaplikasikan kepada masyarakat dalam merawat pasien di rumah

User experience pada Implementasi Virtual Reality sebagai Media Pembelajaran Anak Pengidap Autisme Dea Ismy Soraya Isabella; Kurniawan Teguh Martono; Dania Eridani
Jurnal Komputer Terapan Vol. 6 No. 1 (2020): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

Children with autism have a less response to stimuli that come from other people or circumstances that are around it so that children find it difficult to receive information from teachers about how to perform self-care skills compared to normal children their age. Therefore one type of learning media is needed to train the skills of children with autism in self-care. On the other hand, optimizing VR technology as a learning media about self-care for children with autism is still limited. This Human Centered Design (HCD) method is used in making User experience on VR as a learning media for children with autism. The flow of research starts from the study of literature, analysis of usage context, analysis of user needs, making solution designs, evaluating solution designs, results and conclusions. User experience Questionnaire (UEQ) was chosen as a measure and evaluation of application user experience because UEQ allows rapid assessment of a product and data analysis tools are available. The results of research conducted at SLB Negeri Semarang and SLB Putra Mandiri show the average value obtained from the evaluation of user experience applications using UEQ namely at Attractiveness of 1.41, Perspicuity of 1.80, Efficiency of 1.28, Dependability of 1 , 80, Stimulation of 1.49, Novelty of 1.39, and it can be concluded that the design according to the UEQ scale has a positive user experience because all scales above 0.8.

Internet of things based attendance system design and development in a smart classroom Dania Eridani; Eko Didik Widianto; Ike Pertiwi Windasari; Wildan Budi Bawono; Nadia Febrianita Gunarto
Indonesian Journal of Electrical Engineering and Computer Science Vol 23, No 3: September 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v23.i3.pp1432-1439

Attendance records are one of the main administrative roles on campuses. Therefore, several technologies can be used on an attendance system, including barcode, radio frequency identification (RFID), fingerprint, and faceprint. The main functions of attendance systems on campuses are mainly focused on how to obtain the attendee data list, store on the database, and display the list on the information system. This research proposes an attendance system in the smart classroom which supports the system’s previous activities as well as its integration with security and classroom management. In this system, the NodeMCU which was connected to the Wi-Fi router served as the controller, while the fingerspot revo FF-153BNC functioned as the system input. In addition, the database server was used to allocate attendee and classroom management data. This system is connected with the information system and classroom display unit, and component and system testing were applied in this research. The results showed that each system unit successfully integrated and managed the attendance, security, and classroom schedule.

Simulasi Gerbang Tol Menggunakan RFID (Radio Frequency Identification) Dania Eridani; Yuli Christyono; Imam Santoso
Transmisi: Jurnal Ilmiah Teknik Elektro Vol 13, No 2 (2011): TRANSMISI
Publisher : Departemen Teknik Elektro, Universitas Diponegoro

RFID technology emerges based on human needs. For example, RFID is used for simulation of toll gate. By using RFID, users can be easily having transaction on toll gate. The purpose of this final project is building an automatic and manual simulation on toll gate using RFID which is connected with computer and LED circuit that is controlled by microcontroller. This system consist of two input gates, Karawang Timur gate and an input without passing any gate, also one output gate, Sadang gate. There will be LED circuit that controlled by microcontroller in each gate to give stop and go sign for every vehicle that passing the toll gate. The program that is built consist of transaction program and program for toll’s employee which contain all transaction data in toll gate, employee’s data, RFID user’s data, the user’s balance, and toll gate’s income. From the experiment result, we can get a conclusion that overall the simulation of this toll gate can work according to the program. The reading maximum distance of this RFID is 2cm. Member card can be used in toll gate when the unique number already save in the toll gate’s data. LED circuit can work correctly according to input that given from 5 RFID tags and the variation of the vehicle’s cost in the transaction process in toll gate. Keyword : RFID reader, toll gate, RFID tag, LED circuit, form.

Rancang Bangun Alat Penerjemah ASL (American Sign Language) dengan Sensor Flex Berbasis Mikrokontroler ATmega2560 Agung Budi Prasetijo; Muhamad Y. Dias; Dania Eridani
Jurnal Rekayasa Elektrika Vol 14, No 1 (2018)
Publisher : Universitas Syiah Kuala

Deaf or hard-of-hearing people have been using The American Sign Language (ASL) to communicate with others. Unfortunately, most of the people having normal hearing do not learn such a sign language; therefore, they do not understand persons with such disability. However, the rapid development of science and technology can facilitate people to translate body or part of the body formation more easily. This research is preceded with literature study surveying the need of sensors embedded in a glove. This research employs five flex sensors as well as accelerator and gyroscope to recognize ASL language having similar fingers formation. An Arduino Mega 2560 board as the central controller is employed to read the flex sensors’ output and process the information. With 1Sheeld module, the output of the interpreter is presented on a smartphone both in text and voice. The result of this research is a flex glove system capable of translating the ASL from the hand formation that can be seen and be heard. Limitations were found when translating sign for letter N and M as the accuracy reached only 60%; therefore, the total performance of this system to recognize letter A to Z is 96.9%.

Rancang Bangun Alat Penerjemah ASL (American Sign Language) dengan Sensor Flex Berbasis Mikrokontroler ATmega2560 Agung Budi Prasetijo; Muhamad Y. Dias; Dania Eridani
Jurnal Rekayasa Elektrika Vol 14, No 1 (2018)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v14i1.9801

Deaf or hard-of-hearing people have been using The American Sign Language (ASL) to communicate with others. Unfortunately, most of the people having normal hearing do not learn such a sign language; therefore, they do not understand persons with such disability. However, the rapid development of science and technology can facilitate people to translate body or part of the body formation more easily. This research is preceded with literature study surveying the need of sensors embedded in a glove. This research employs five flex sensors as well as accelerator and gyroscope to recognize ASL language having similar fingers formation. An Arduino Mega 2560 board as the central controller is employed to read the flex sensors’ output and process the information. With 1Sheeld module, the output of the interpreter is presented on a smartphone both in text and voice. The result of this research is a flex glove system capable of translating the ASL from the hand formation that can be seen and be heard. Limitations were found when translating sign for letter N and M as the accuracy reached only 60%; therefore, the total performance of this system to recognize letter A to Z is 96.9%.

Classroom Occupancy Monitoring System using IoT Device and the k-Nearest Neighbors Algorithm Fidarliyan, Yarnish Dwi Sagita; Prasetijo, Agung Budi; Eridani, Dania
Jurnal Teknik Elektro Vol 14, No 2 (2022): Jurnal Teknik Elektro
Publisher : Jurusan Teknik Elektro, Fakultas Teknik, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jte.v14i2.37141

The occupancy monitoring system is one of the substantial aspects of building management. Through monitoring the occupancy in the area in a building, the obtained information can be used for building management purposes such as controlling indoor area air quality and improving building security. Some technologies such as video surveillance cameras, Radio Frequency Identification (RFID), and motion sensors have been used in the occupancy monitoring system. However, those technologies pose several disadvantages including privacy concerns and limited information generated. A classroom occupancy monitoring system using an Internet of Things (IoT) device and the k-Nearest Neighbors (k-NN) algorithm was built to monitor classroom occupancy by classifying the number of occupants based on classroom environmental data into occupancy levels by using the k-NN classifier model. By utilizing IoT devices, CO2, temperature, and humidity data in a naturally ventilated classroom were recorded using the MQ-135 and BME280 sensors, as well as WiFi-based NodeMCU, was used to distribute data to the cloud. The collected data were trained and tested by the k-NN algorithm to produce a k-NN classifier model. From the tests conducted, the performance of the k-NN classifier model in classifying the number of occupants into occupancy levels resulted in an accuracy of 88%. In addition, the proposed system also produces a web-based classroom occupancy monitoring application that has been integrated with the k-NN classifier model so the classification can be done for real-time data and monitored directly.

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