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Majalah Ilmiah Teknologi Elektro
Published by Universitas Udayana
ISSN : 16932951     EISSN : 25032372     DOI : -
Core Subject : Engineering,
Electrical & Electronics Engineering
Majalah Ilmiah Teknik Elektro diterbitkan dua kali dalam satu tahun oleh Jurusan Teknik Elektro Fakultas Teknik Universitas Udayana. Jurnal ini membahas tentang karya ilmiah berupa hasil penelitian dalam bidang elektro, meliputi sistem tenaga, telekomunikasi, informatika, dan elektronika. Penulis diharapkan untuk menyertakan karya ilmiah yang orisinil sesuai dengan lingkup bahasan jurnal ini termasuk semua aspek teori dan praktek yang digunakan.
Arjuna Subject : -
Articles 611 Documents
 51   52   53   54   55 
Animal Tracking Berbasis Internet of Things I Kadek Cahyadi Arta; Andrian Febriyanto; Ida Bagus Made Harisanjaya Adi Nugraha; I Gede Suputra Widharma; Ida Bagus Irawan Purnama
Jurnal Teknologi Elektro Vol 21 No 1 (2022): (Januari - Juni) Majalah Ilmiah Teknologi Elektro
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2022.v21i01.P02

Abstract

Peternakan merupakan kegiatan pengembangbiakkan dan pemeliharaan hewan yang dapat dilakukan dengan sistem kandang maupun sistem lepas. Sistem peternakan lepas masih banyak dijumpai di wilayah Nusa Tenggara dan sebagian wilayah di Bali. Peternakan jenis ini sulit dipantau sehingga rentan pencurian. Selain kemungkinan pencurian, sistem pengembalaan hewan ternak seperti ini memiliki banyak resiko lain, salah satunya adalah kehilangan ternak baik itu karena tersesat ataupun terjebak di suatu tempat. Maka dari itu perlu dikembangkan suatu alat pelacak yang mampu memonitoring keberadaan hewan ternak tersebut. Penelitian ini bertujuan untuk mengimplementasikan Internet of Things (IoT) guna memonitoring hewan ternak atau peliharaan dengan memakai GPS, NodeMCU ESP8266, Firebase dan Kodular. Data berupa nilai latitude dan longitude yang didapat oleh modul GPS akan dikirimkan ke Firebase melalui jaringan WiFi. Data tersebut kemudian ditampilkan pada aplikasi Kodular dalam bentuk koordinat latitude, longitude, dan marker pada maps. Selain itu, alat tracking yang dapat dikalungkan pada leher hewan ini dilengkapai dengan lampu LED yang bertujuan untuk memantau posisi hewan ternak pada malam hari sehingga posisi hewan dapat terlihat ketika kondisi gelap. Kata Kunci— Animal Tracking, Firebase, GPS, IoT, Kodular
Influencing Factors Dalam Menentukan Learning Management System Yang Sesuai Dalam Proses Transisi Ke Pembelajaran Daring Kessawa Adnyana Gede Oka Anak Agung; Nyoman Putra Sastra; Komang Oka Saputra
Jurnal Teknologi Elektro Vol 21 No 1 (2022): (Januari - Juni) Majalah Ilmiah Teknologi Elektro
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2022.v21i01.P16

Abstract

In the current pandemic era, every learning process forced to do transition in a short notice, this action taken to prevent the widespread of COVID-19 virus in the school and university area. This hasty transition proceses are not companied by the readiness of Learning Management System platform that suitable for the education institution. This research is done by doing literature study and platform testing selected Learning Management Systems in order to fulfill its aim, to provide insight about Influencing Factors that can be used to segmenting Learning Management Systems Platform according to its suitability. This studi founds that there are 5 main factors and 3 supporting factors on deciding what Learning Management Systems Platform that will be use on any institution. The main factors consist of ease-of-use, course features, communication features, flexibility, and accessibility. The supporting factors consist of technician requirement, infrastructure requirement, and community support. From influencing factors, we also can devide Learning Management Platforms into 3 categories, there are free open-source, free cloud-based, and premium cloud-based.
Peningkatan Kinerja Modul PV Kanopi dengan Optimasi Pembayangan pada Area Terbatas Koko Friansa; Justin Pradipta; Irsyad Nashirul Haq; Edi Leksono; Kristiawan Ariwibawa
Jurnal Teknologi Elektro Vol 21 No 1 (2022): (Januari - Juni) Majalah Ilmiah Teknologi Elektro
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2022.v21i01.P07

Abstract

In this paper, the contribution for finding the tilt and azimuth angle, location, and shift optimum with shading analysis method using PVSyst software has been done. The PV module capacity is 20 kWp that and integrated as canopy in the crosswalk between LABTEK V and LABTEK VI, ITB campus, Bandung. Coodinate from the location of PV modules is 6,89 LS dan 107,61 LT (- 6,89 oS, 107,61 oE). Fixed tilt was used for the PV modules orientation. The buildings and trees around the PV module cause shading effect in the PV modules, therefore, to maximize PV performance additional optimization and shading analysis have to be carried out. Performance achieved tilt angle 11o and azimuth 0o with effective global irradiation 1160,1 kWh/m2/year and energy array 21,75 MWh/tahun. After tilt optimization, shift and array optimization was added for improve the PV modul performance. In the added the shift and array optimization scenarios, the effective global irradiation has improved 72 kWh/m2/year and 14,9 kWh/m2/year respectively and the energy array has improved 1,26 MWh/year and 0,25 MWh/year.
Cover MITE Vol 21 No 1 Lie Jasa
Jurnal Teknologi Elektro Vol 21 No 1 (2022): (Januari - Juni) Majalah Ilmiah Teknologi Elektro
Publisher : Universitas Udayana

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

Abstract

Cover MITE Vol 21 No 1
Komparasi Metode Peramalan Grey dan Grey-Markov untuk mengetahui Peramalan PNBP di Universitas Udayana I Dewa Nyoman Anom Manuaba; Ida Bagus Gede Manuaba; Made Sudarma
Jurnal Teknologi Elektro Vol 21 No 1 (2022): (Januari - Juni) Majalah Ilmiah Teknologi Elektro
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2022.v21i01.P12

Abstract

Forecasting is the process of estimating a future value using data from the past or data from the present as a reference. Forecasting is a critical component of an organization's short- and long-term planning as a reference for management decision making. Identifying the data pattern in the time series data utilized is a crucial step in identifying the best forecasting approach for the data pattern. The Gray Prediction Model is a forecasting technique that can be used with partial data or a little amount of data. The Grey-Markov forecasting approach may be used to make very accurate forecasts using Udayana University education acceptance data, which is limited, with only five historical data and data patterns classed as horizontal data patterns with modest fluctuations.
Pendeteksi Kebocoran Gas dan Kebakaran Dini Menggunakan NodeMCU Berbasis Telegram Cokorda Gde Indra Raditya; Putu Adhitya Santika Dharma; I Kadek Ardian Ananda Putra; Ida Bagus Ketut Sugirianta; Ida Bagus Irawan Purnama
Jurnal Teknologi Elektro Vol 21 No 1 (2022): (Januari - Juni) Majalah Ilmiah Teknologi Elektro
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2022.v21i01.P03

Abstract

Pemanfaatan sumber daya alam dan energi semakin hari semakin meningkat, salah satunya adalah penggunaan gas bumi sebagai bahan bakar baik untuk kebutuhan rumah tangga maupun industri. Aspek safety dalam penggunaan gas ini haruslah diperhatikan karena kebocoran gas dapat memicu terjadinya kebakaran. Maka dari itu dibutuhkan alat yang dapat mendeteksi dan menotifikasi kebocoran gas sedini mungkin. Penelitian ini mengusulkan alat pendeteksi kebocoran gas berbasis Internet of Things (IoT) menggunakan NodeMCU ESP8266 sebagai mikrokontroler. Sistem pendeteksian ini menggunakan sensor MQ-2 sebagai pendeteksi kadar gas dan flame sensor sebagai pendeteksi sinar ultraviolet sebagai indikasi adanya api. Output yang dihasilkan berupa pesan notifikasi dari Telegram Bot yang dikirimkan melalui NodeMCU. Dalam hal ini, buzzer dan LED akan memberikan sinyal jika sensor MQ-2 mendeteksi kadar gas di atas 500 ADC, lalu NodeMCU akan mengirim perintah kepada Telegram Bot untuk mengirimkan pesan notifikasi secara realtime. Disamping itu, kadar gas yang terdeteksi juga ditampilkan pada layar LCD 16x2. Hasil percobaan menunjukkan bahwa jarak ideal untuk mendeteksi gas adalah di bawah 6 cm, sedangkan api di bawah 20 cm dengan waktu respon sensor 2 detik. Dengan alat ini diharapkan dapat meminimalisir resiko kebakaran akibat kebocoran gas. Kata Kunci— kebakaran, kebocoran gas, NodeMCU, Telegram
Analisis Toko dan Asal Toko Fashion Pria di Shopee Menggunakan Data Scrapping dan Exploratory Data Analysis Mezan el-Khaeri Kesuma; Rodzan Iskandar
Jurnal Teknologi Elektro Vol 21 No 1 (2022): (Januari - Juni) Majalah Ilmiah Teknologi Elektro
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2022.v21i01.P17

Abstract

In the current era of technological development, e-commerce is required to be more developed, effective, efficient and become the main choice for buyers and sellers. The problem formulation of this journal is the most trending store and the city of origin of the store. This is evidenced by the best-selling products sold based on categories and types of men's fashion products. The purpose of this research is to find out the type of fashion that is loved by male buyers in the Shopee marketplace and get discounts/free shipping and can be a recommendation for what fashion products are suitable for newcomers to Shopee Indonesia. This research was conducted on April 4, 2021, which coincided with the Covid-19 pandemic. This research was carried out in 4 steps in applying Web Scrapping and Exploratory Data Analysis techniques: Observation, Data Collection, Information Extraction and Analysis. this research: (1) from the buyer's point of view it can be a reference for the goods to be purchased and get a discount/free shipping because the city of origin of the shop is the same or closest; (2) from the side of new sellers (new traders) in the Indonesian shopee marketplace, it can be a reference for any men's fashion that will sell well in the future based on the store that sells the most products.
Literature Review Metode Reduksi Harmonisa Berbasis Kecerdasan Buatan pada Multilevel Inverter Gede Patrianaya Margayasa Wirsuyana; Linawati Linawati; Ida Bagus Gede Manuaba; Rukmi Sari Hartati
Jurnal Teknologi Elektro Vol 21 No 1 (2022): (Januari - Juni) Majalah Ilmiah Teknologi Elektro
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2022.v21i01.P08

Abstract

Multilevel inverter (MLI) is one type of inverter that has a multilevel output voltage. Although its better than conventional inverters, the MLIs operating at low frequency still contains low-order harmonics at the output voltage and current which have a negative impact on electrical system. To overcome these problems, Many researchers have developed various control and modulation techniques on inverters to reduce harmonics and minimize switching losses with the aim of optimizing inverter’s efficiency. Selective harmonic elimination pulse-width modulation (SHEPWM) is the most optimal control of all methods that have been developed to remove low-order harmonics from the inverter output voltage. However, there are challenges in the MLIs analysis process using SHEPWM because solving these equations is difficult. Bio-inspired intelligent algorithms (BIAs) is used to solve this problem. This paper describes in full a review of various studies that have been carried out previously related to the operating principle of nine types of BIA and their application in reducing harmonics. The conclusions has been made on the basis of information extracted from the literatures. All important information in this paper regarding harmonic reduction in MLI will help future research to design efficient power conversion systems. Keywords— Bio-inspired algorithm, harmonics, multilevel inverter, optimization, selective harmonic elimination.
Rancang Bangun Evolved Network Management System Application (EVOMAC) pada Ekosistem Infrastruktur Jaringan Universitas Udayana Adhitya Bayu Rachman Pratama; Gede Sukadarmika; Nyoman Putra Sastra
Jurnal Teknologi Elektro Vol 21 No 1 (2022): (Januari - Juni) Majalah Ilmiah Teknologi Elektro
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2022.v21i01.P13

Abstract

Network Management System is a device with piles of capabilities to help the network engineer to utilize independent network component especially in a wide framework. Network Management System have the capabilities to identify, configure, monitor, update, and troubleshoots the wired also wireless network devices as well. Udayana University have been utilized some type of platforms to monitor and manage its network, those platforms are Cacti and OpenNMS. However, both of those platforms didn’t meet as what the experts called it as Integrated Network Management System. Thus, EVOMAC present as a solution to simplify the workflow of the network engineers. EVOMAC is an acronym for Evolved Network Management System Application that fused with OpenNMS, PostgreSQL, Telegram, and NodeJS. EVOMAC is also cooperates with four basic API methods that build its system such as POSTMethod, PUTMethod, GETMethod, and DELETEMethod. All of those API methods are the foundation of the command functions /start, /nodes, /addnode, /deletenode, /alarm, /category, and /requisition. Each of the command function has their own response time duration since it is related to the speed of the connected internet and the amount of people who has access to it.
Literature Review Analisis Perilaku Pelanggan Menggunakan RFM Model Putu Aryasuta Wicaksana; Ida Bagus Alit Swamardika; Rukmi Sari Hartati
Jurnal Teknologi Elektro Vol 21 No 1 (2022): (Januari - Juni) Majalah Ilmiah Teknologi Elektro
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2022.v21i01.P04

Abstract

Intisari— Data merupakan aset bagi setiap perusahaan, utamanya adalah Data Pelanggan. Pengolahan data pelanggan selanjutnya dapat disebut sebagai Data Mining. Ketatnya persaingan industri saat ini membuat perusahaan harus cermat didalam mengolah data pelanggan mereka, salah satunya pengolahan data pelanggan untuk operasi CRM. Dimana tujuannya adalah untuk dapat mengenali pelanggan dengan menganalisis perilaku pelanggan. Sehingga ini dapat menjadi suatu investasi bagi perusahaan. Perilaku pelanggan dapat diramalkan dengan menggunakan RFM model. Dan pada penelitian ini penulis melakukan literature review mengenai implementasi RFM Model pada data mining didalam membantu perusahaan untuk lebih memahami pelanggan mereka. Dari hasil review yang dilakukan RFM model pada rentang Tahun 2016 – 2021 lebih banyak dikombinasikan dengan teknik data mining yaitu algoritma clustering, dimana tujuannya adalah untuk mengelompokkan atau melakukan segmentasi pelanggan. Dan dari hasil review penulis juga memformulasikan riset yang dapat dilakukan, yaitu mengkombinasikan RFM model dengan metode TOPSIS.

Page 53 of 62 | Total Record : 611

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