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Android Based Spark and Gas Leak Detection and Monitoring Meidelfi, Dwiny; Moodutor, Hanriyawan Adnan; Sukma, Fanni; Adnin, Sandri
Journal of Computer Networks, Architecture and High Performance Computing Vol. 4 No. 2 (2022): Article Research Volume 4 Number 2, July 2022
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v4i2.1489

Abstract

LPG cylinder leakage is one of the causes of fires in the community. To prevent fires, a fire and gas leak detection and monitoring device were made using a fire detector sensor and an Android-based MQ-6 to trigger it. Data collection techniques in the manufacture of gas and fire leak detection using a flame detector and the MQ-6 sensor can be obtained from datasheets, journals, books and articles, and several internet sites that support the manufacture of this device. In the manufacture of gas leak detection devices or tools, there are also two parts, namely the first to make hardware (hardware), then software (software). The result of this tool detection is that users can find out the level of LPG due to leaking of LPG cylinders and detect fire using Android notifications in real-time and the data is displayed in detail on the browser page. The conclusion of this study is that users are safer because there is a gas leak, the tool will detect LPG gas, then a message will be displayed on the LCD screen and a notification on Android and the buzzer will automatically turn on. If there is a fire from detecting the gas leak, the fire detector will detect the fire, which will result in a notification sent to Android that there is a fire and the buzzer will turn on
Pemanfaatan Canva dalam Pembuatan Media Pembelajaran Interaktif bagi Para Guru SMA di Kabupaten Padang Pariaman Sonatha, Yance; Azmi, Meri; Rahmayuni, Indri; Meidelfi, Dwiny
Suluah Bendang: Jurnal Ilmiah Pengabdian Kepada Masyarakat Vol 22, No 2 (2022): Suluah Bendang: Jurnal Ilmiah Pengabdian kepada Masyarakat
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/sb.02930

Abstract

SMA 1 V Koto Timur merupakan salah satu SMA Negeri yang berada di Kecamatan V Koto Timur Kabupaten Padang Pariaman Provinsi Sumatera Barat. Selama pandemik covid 19, SMA 1 V Koto Timur melaksanakan proses pembelajaran dengan mengkombinasikan pembelajaran langsung dengan pembelajaran dalam jaringan(daring /online). Pembuatan media pembelajaran yang menarik sangat dibutuhkan untuk membuat ketertarikan siswa dalam mempelajarinya sehingga target pembelajaran dapat dicapai walaupun dilakukan secara tidak langsung. Permasalahan yang dihadapi sekarang adalah minimnya pengetahuan mengenai aplikasi-aplikasi yang dapat digunakan untuk membantu pembuatan media pembelajaran yang lebih interaktif. Pengabdian kepada Masyarakat yang diadakan berupa kegiatan pelatihan penggunaan canva untuk pembuatan media pembelajaran interaktif dan komunikatif menggunakan aplikasi Canva. Kegiatan berlangsung sukses ditandai dengan meningkatnya pemahaman mereka mengenai penggunaan aplikasi Canva dalam pembuatan media pembelajaran yang interaktif.
Sistem Pendukung Keputusan Memilih Tiket Pesawat Dengan Menggunakan Metode AHP Maulana, Fikri; Meidelfi, Dwiny
Jurnal Teknologi Informasi Indonesia (JTII) Vol 5 No 1 (2020): Jurnal Teknologi Informasi Indonesia (Mei)
Publisher : JURNAL TEKNIK INFORMATIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30869/jtii.v5i1.510

Abstract

Pilihan maskapai penerbangan yang banyak membuat orang yang ingin bepergian menggunakan pesawat sedikit kebingungan menentukan pilihan, kebutuhan dan keinginan. Hal ini bisa diatasi dengan menggunakan Sistem Pendukung Keputusan yang menggunakan metode AHP untuk mengolah data. Hasil yang didapat dari sistem dapat menjadi pertimbangan alternatif yang dapat dipilih sehingga kriteria yang diinginkan pelanggan terpenuhi.
The Implementation of SAW and BORDA Method to Determine the Eligibility of Students’ Final Project Topic Meidelfi, Dwiny; Yulherniwati, -; Sukma, Fanni; Chandra, Dikky; Jonas, Anna Hendri Soleliza
JOIV : International Journal on Informatics Visualization Vol 5, No 2 (2021)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.5.2.447

Abstract

The fourth-year students of Bachelor of Applied Studies (BAS) Software Engineering Technology Department of Information Technology (IT) Politeknik Negeri Padang (PNP) are required to work on the Final Project Proposal to the Coordinator, to deliver to the expertise group team to assess the eligibility of the topic. The expertise teams consist of the same skill family. The assessment criteria include originality, novelty, target and topic contribution, methodology, and similarity. Therefore, a system to support group decisions is highly needed to get eligibility for the topic. In a pandemic like today, indoor gatherings are severely restricted. The work from home policy also limits the movement of the team to gather together so that the expert team who would judge cannot conduct a meeting to determine the feasibility of the final project topic optimally. The existence of a subjective assessment of a particular topic requires discussion from the team. The simple Additive Weighting (SAW) method was used to rank the final project proposal, and BORDA method was used to Accumulate the assessment score of the expert team. The research revealed the recommendation on students’ final topics. Testing is done by testing the sensitivity of the criteria used in a decision maker's preference. The final result of this research is a recommendation of a final project that is feasible to be implemented by students and recommendation for sensitive assessment criteria. From the ten topics of the final project that were assessed, seven topics could be accepted. The sensitivity test results showed that the weight with criterion 1 and criterion 4 significantly affect the assessment results.
The Small UWB Monopole Antenna with Stable Omnidirectional Radiation Pattern Firdaus, -; Yuhanef, Afrizal; Yulindon, Yulindon; Meidelfi, Dwiny; Silvana, Meza
JOIV : International Journal on Informatics Visualization Vol 6, No 4 (2022)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.6.4.972

Abstract

Ultra Wideband (UWB) technology is an unmodulated wireless digital communication system that uses an extremely short duration pulse to transmit information bit. Because of this pulse, the UWB system needs a very wide bandwidth. Federal Communication Commission (FCC) has regulated the 3.1 – 10.6 GHz frequency spectrum for UWB. Since FCC released this frequency, many research in telecommunication have been done on UWB systems. One of them is a development of an Antenna that is suitable for UWB devices. UWB antenna characteristics require FCC band, omnidirectional radiation pattern, and compact size. In order to meet these needs, an antenna with a simple structure in the form of a monopole patch antenna with a similar patch size and ground width has been designed. The antenna is built on an FR4 – epoxy substrate material, with 4.4 dielectric constant and 1.6 mm thickness. The antenna feeding structure consists of two 100 Ω and 50 Ω lines with a wideband impedance matching scheme using tapered side and tapered transformers. The antenna design and optimization processes are conducted using electromagnetic simulation software, and measurements are carried out in an anechoic chamber. Simulation and measurement results show good agreement, and the antenna can work at frequencies 3.5 - 11.3 GHz with a gain of 1.5 – 3.25 dBi and stable omnidirectional radiation patterns. The antenna has dimensions of 27 × 8 × 1.6 mm, which are smaller than the antenna reported in the last research and suitable to be applied on various UWB devices.
Intelligence Eye for Blinds and Visually Impaired by Using Region-Based Convolutional Neural Network (R-CNN) Yee, Lee Ruo; Kamaludin, Hazalila; Safar, Noor Zuraidin Mohd; Wahid, Norfaradilla; Abdullah, Noryusliza; Meidelfi, Dwiny
JOIV : International Journal on Informatics Visualization Vol 5, No 4 (2021)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.5.4.735

Abstract

Intelligence Eye is an Android based mobile application developed to help blind and visually impaired users to detect light and objects. Intelligence Eye used Region-based Convolutional Neural Networks (R-CNN) to recognize objects in the object recognition module and a vibration feedback is provided according to the light value in the light detection module. A voice guidance is provided in the application to guide the users and announce the result of the object recognition. TensorFlow Lite is used to train the neural network model for object recognition in conjunction with extensible markup language (XML) and Java in Android Studio for the programming language. For future works, improvements can be made to enhance the functionality of the Intelligence Eye application by increasing the object detection capacity in the object recognition module, add menu settings for vibration intensity in light detection module and support multiple languages for the voice guidance.
Co-Authors - Yulherniwati - Zurnawita -, Juandi -, Nofrizal . Zulfan Abdullah, Noryusliza Ade Irma Suryani Adnin, Sandri Afdal Afrima Deki - Afrizal Fauzi Afrizal Yuhanef Alde Alanda, Alde Aldo Erianda Aldo Erianda Aldo Erianda Aldo Erianda, Aldo Andre F Kasmar Andre Febrian Kasmar Anggie Meifriyan Pratama Anggie Meyfrian Pratama Azmi, Haryuni Cecilya Hamedeko Cindy Klaudya Putri Danny Athaya Deddy Prayama Defni, - Deni Wahyuni Dikky Chandra Dion Setiawan Eliyanora Fanni Sukma Fanni Sukma Fanni Sukma Fanni Sukma Farhan Rinsky Mulya Fikri Maulana, Fikri Firdaus, - Hanriyawan Adnan Mooduto Hanriyawan Adnan Moodutor Hendrick Heru Samudera Hidra Amnur Hind Ra'ad Ebraheem Humaira, Humaira Huriati, Putri Indri Rahmayuni Jihan Fadhilah Jonas, Anna Hendri Soleliza Kamaludin, Hazalila Kharisma, Srintika Yunni Lathifah Hanum M. Ikhsan Gumanof Marisa Ayu Saphira Maulidani, Farhan Meri Azmi Meri Azmi Meri Azmi Meza Silvana Mohammad Aljanabi Mohd Arfian Ismail Mohd Farhan Md Fudzee Moodutor, Hanriyawan Adnan Muhammad Ariq Hendry Muhammad Ilham Muhlis, Farid Alfajr Mursydan, Arif Mutia, I.S Nazirah, Nurul Ain Novi Novri Novri Novri Rahmat Hidayat Ramadhani, - Rasyidah, - Richy Azura Rika Idmayanti Rika Idmayanti Rika Idmayanti Rinaldi Rinaldi Rino Sukma Rita Afriyenni Ronal Hadi Rusfandi, - Safar, Noor Zuraidin Mohd Salman Alfarissy Salsabila Delaisya Permana Sandri Adnin Shahreen Kasim Shahreen Kasim, Shahreen Sitepu, Dana Bahari Sri Yusnita Sri Yusnita Sukma, Fanni Surfa Yondri Taufik Hidayat Tri Lestari Tri Lestari Vienne Anggelica Kurnia Vivi Hasti Mayanti Wahid, Norfaradilla Wahyudi, Eri Wati, Yenni Wina Rahma Fitri Yance Sonatha Yee, Lee Ruo Yulherniwati Yulherniwati, - Yulindon Zahraa Faiz Hussain Zahri Hasanati Zazkia, Rahmi Zulfitri, Alvin Faiz