发布求助
文献互助 智能选刊 最新文献

JTERA (Jurnal Teknologi Rekayasa)最新文献

筛选
英文 中文
Implementasi Application Programmable Interface pada Sistem Manajemen Jaringan Berbasis Website 应用程序界面应用于基于web的网络管理系统
JTERA (Jurnal Teknologi Rekayasa) Pub Date : 2023-01-01 DOI: 10.31544/jtera.v7.i2.2022.223-232
E. Andika, Lani Nurlani, Nila Natalia, Syayidul Muwahhid
{"title":"Implementasi Application Programmable Interface pada Sistem Manajemen Jaringan Berbasis Website","authors":"E. Andika, Lani Nurlani, Nila Natalia, Syayidul Muwahhid","doi":"10.31544/jtera.v7.i2.2022.223-232","DOIUrl":"https://doi.org/10.31544/jtera.v7.i2.2022.223-232","url":null,"abstract":"","PeriodicalId":17680,"journal":{"name":"JTERA (Jurnal Teknologi Rekayasa)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89188909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Visual Servoing pada Ball-on-Plate dengan Kendali PID dan Filter Kalman 视觉伺服控制板上球的肯达里PID和滤波卡尔曼
JTERA (Jurnal Teknologi Rekayasa) Pub Date : 2022-12-31 DOI: 10.31544/jtera.v7.i2.2022.295-300
Martin Martin, D. Ramdani, Yana Sudarsa, Feni Isdaryani
{"title":"Visual Servoing pada Ball-on-Plate dengan Kendali PID dan Filter Kalman","authors":"Martin Martin, D. Ramdani, Yana Sudarsa, Feni Isdaryani","doi":"10.31544/jtera.v7.i2.2022.295-300","DOIUrl":"https://doi.org/10.31544/jtera.v7.i2.2022.295-300","url":null,"abstract":"","PeriodicalId":17680,"journal":{"name":"JTERA (Jurnal Teknologi Rekayasa)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84349207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Various Types of Acids on Pretreatment of Corn Stover for Enhancing Biogas Yield 不同酸对玉米秸秆预处理提高沼气产量的影响
JTERA (Jurnal Teknologi Rekayasa) Pub Date : 2022-12-31 DOI: 10.31544/jtera.v7.i2.2022.275-280
L. Shitophyta, Zahra Lintang Cahyaningtyas, Nurul Aulia Syifa, F. Chusna
{"title":"Various Types of Acids on Pretreatment of Corn Stover for Enhancing Biogas Yield","authors":"L. Shitophyta, Zahra Lintang Cahyaningtyas, Nurul Aulia Syifa, F. Chusna","doi":"10.31544/jtera.v7.i2.2022.275-280","DOIUrl":"https://doi.org/10.31544/jtera.v7.i2.2022.275-280","url":null,"abstract":"Biogas production from lignocellulosic biomass has gained attention in the development of renewable fuels. Corn stover belongs to lignocellulosic biomass. Pretreatment is needed to help the digestion of biomass due to its lignocellulosic recalcitrance. This study aims to compare the different types of acids for enhancing biogas production. The experiment was carried out in a 1 L batch digester at room temperature with different acids of HCl, H2SO4, and C2H2O4 at concentrations of 0%, 5%, 10%, and 15%. The acids pretreatment was performed for 24 hr. Results show that pretreatment of C2H2O4 has a positive impact on increasing biogas yield. The highest cumulative yield of 580.8 mL/gVS is obtained at 15% C2H2O4. The increase in acid concentrations decreases the initial pH value. The pH value below 6 reduces biogas yield.","PeriodicalId":17680,"journal":{"name":"JTERA (Jurnal Teknologi Rekayasa)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81483922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Antena Susun Linier Mikrostrip 8 Elemen dengan Pencatuan Coaxial Probe pada Frekuensi 2,4 GHz
JTERA (Jurnal Teknologi Rekayasa) Pub Date : 2022-12-31 DOI: 10.31544/jtera.v7.i2.2022.281-288
Asep Barnas Simanjuntak, Ananda Imee Amelinda, Hanny Madiawati, Ferry Satria
{"title":"Antena Susun Linier Mikrostrip 8 Elemen dengan Pencatuan Coaxial Probe pada Frekuensi 2,4 GHz","authors":"Asep Barnas Simanjuntak, Ananda Imee Amelinda, Hanny Madiawati, Ferry Satria","doi":"10.31544/jtera.v7.i2.2022.281-288","DOIUrl":"https://doi.org/10.31544/jtera.v7.i2.2022.281-288","url":null,"abstract":"","PeriodicalId":17680,"journal":{"name":"JTERA (Jurnal Teknologi Rekayasa)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86576068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Sistem Presensi Kelas Berbasis Pengenalan Wajah Menggunakan Metode CNN 基于面部识别的课堂展示系统使用CNN的方法
JTERA (Jurnal Teknologi Rekayasa) Pub Date : 2022-12-31 DOI: 10.31544/jtera.v7.i2.2022.315-322
D. Andini, YB Gunawan Sugiarta, Trisno Yuwono Putro, Ryan Dwi Setiawan
{"title":"Sistem Presensi Kelas Berbasis Pengenalan Wajah Menggunakan Metode CNN","authors":"D. Andini, YB Gunawan Sugiarta, Trisno Yuwono Putro, Ryan Dwi Setiawan","doi":"10.31544/jtera.v7.i2.2022.315-322","DOIUrl":"https://doi.org/10.31544/jtera.v7.i2.2022.315-322","url":null,"abstract":"Artikel ini mengusulkan sistem presensi kelas berbasis pengenalan wajah. Metode yang diterapkan adalah Convolutional Neural Network (CNN) dengan keterbaruan adalah penyajian dalam file Ms. Excel secara langsung. Metode ini dapat digunakan untuk melakukan proses ekstraksi fitur dari citra dan mengklasifikasikan citra. Aplikasi dirancang menggunakan Graphical User Interface (GUI) untuk pengisian presensi mahasiswa. Pada tampilan dapat digunakan untuk melakukan registrasi secara langsung untuk pembuatan dataset dan model. Perangkat keras sistem terdiri dari kamera, minicomputer, dan LCD. Cara kerja sistem keseluruhan meliputi registrasi, preprocessing, pengenalan citra wajah, dan hasil output identitas mahasiswa. Hasil pengujian menunjukkan bahwa sistem ini memiliki nilai akurasi 85% dan jumlah epoch 40. Waktu dalam proses pengenalan yaitu 3 hingga 9 detik dengan jarak wajah dari kamera 30-50 cm. Sistem bekerja maksmimal jika digunakan pada ruangan dengan pencahayaan berlampu terang. Sudut maksimal wajah menghadap kamera sebesar 10 derajat.","PeriodicalId":17680,"journal":{"name":"JTERA (Jurnal Teknologi Rekayasa)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88397281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Analisis Perbandingan Mod Security dan Deep Packet Inspection pada Web Server Terhadap Serangan DDoS Slow Headers
JTERA (Jurnal Teknologi Rekayasa) Pub Date : 2022-12-31 DOI: 10.31544/jtera.v7.i2.2022.307-314
Nanda Iryani, Dhanar Yusuf Febriansyah, E. Cahyadi
{"title":"Analisis Perbandingan Mod Security dan Deep Packet Inspection pada Web Server Terhadap Serangan DDoS Slow Headers","authors":"Nanda Iryani, Dhanar Yusuf Febriansyah, E. Cahyadi","doi":"10.31544/jtera.v7.i2.2022.307-314","DOIUrl":"https://doi.org/10.31544/jtera.v7.i2.2022.307-314","url":null,"abstract":"In the process of exchanging data","PeriodicalId":17680,"journal":{"name":"JTERA (Jurnal Teknologi Rekayasa)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87317818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Kendali Suhu Air Dengan Pengendali PI Menggunakan Metode Ziegler-Nichols I, Chien Servo I, dan Chien Regulator I 水温控制PI使用的是自尼可尼办法，表伺服器和调节器I
JTERA (Jurnal Teknologi Rekayasa) Pub Date : 2022-12-31 DOI: 10.31544/jtera.v7.i2.2022.267-274
S. M. Ilman, Febi Ariefka Septian Putra, I. Irianto, Eka Prasetyono
{"title":"Kendali Suhu Air Dengan Pengendali PI Menggunakan Metode Ziegler-Nichols I, Chien Servo I, dan Chien Regulator I","authors":"S. M. Ilman, Febi Ariefka Septian Putra, I. Irianto, Eka Prasetyono","doi":"10.31544/jtera.v7.i2.2022.267-274","DOIUrl":"https://doi.org/10.31544/jtera.v7.i2.2022.267-274","url":null,"abstract":"","PeriodicalId":17680,"journal":{"name":"JTERA (Jurnal Teknologi Rekayasa)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75184853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Uji Efektivitas Koagulan Alami Dalam Menurunkan Kadar COD dan TSS Limbah Industri 测试天然凝血剂在降低鳕鱼水平和TSS工业废料方面的有效性
JTERA (Jurnal Teknologi Rekayasa) Pub Date : 2022-12-31 DOI: 10.31544/jtera.v7.i2.2022.301-306
Dian Majid, Latifah Mega, Rhenny Ratnawati
{"title":"Uji Efektivitas Koagulan Alami Dalam Menurunkan Kadar COD dan TSS Limbah Industri","authors":"Dian Majid, Latifah Mega, Rhenny Ratnawati","doi":"10.31544/jtera.v7.i2.2022.301-306","DOIUrl":"https://doi.org/10.31544/jtera.v7.i2.2022.301-306","url":null,"abstract":"","PeriodicalId":17680,"journal":{"name":"JTERA (Jurnal Teknologi Rekayasa)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89256707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Level Optimum Hyperparameter Tuning Epoch dalam Klasifikasi Citra Bencana Kebakaran
JTERA (Jurnal Teknologi Rekayasa) Pub Date : 2022-12-31 DOI: 10.31544/jtera.v7.i2.2022.209-216
Rian Rahmanda Putra, Indra Griha Tofik Isa, Ahmad Bahri Joni Malyan, Ema Laila, A. Wardhana
{"title":"Level Optimum Hyperparameter Tuning Epoch dalam Klasifikasi Citra Bencana Kebakaran","authors":"Rian Rahmanda Putra, Indra Griha Tofik Isa, Ahmad Bahri Joni Malyan, Ema Laila, A. Wardhana","doi":"10.31544/jtera.v7.i2.2022.209-216","DOIUrl":"https://doi.org/10.31544/jtera.v7.i2.2022.209-216","url":null,"abstract":"Hyperparameter tuning menjadi bagian yang tidak terpisahkan dalam sebuah pemodelan untuk mencapai performa akurasi yang terbaik. Salah satu parameter yang digunakan dalam hyperparameter tuning adalah epoch, dimana merupakan bagian dari pelatihan dalam sebuah model untuk melihat akurasi terbaiknya. Dalam penelitian ini dilakukan hyperparameter tuning terhadap epoch untuk melihat titik optimum yang dihasilkan dengan 11 skenario epoch yakni epoch 50, epoch 55, epoch 60, epoch 65, epoch 70, epoch 75, epoch 80, epoch 85, epoch 90, epoch 95 dan epoch 100. Adapun batasan dalam penelitian ini adalah: (1) data yang dicermati merupakan citra kebakaran  sebanyak 4650 citra yang terdiri dari kondisi kebakaran dan tidak kebakaran dan (2) pemodelan dengan deep learning CNN. Tahapan yang dilakukan meliputi preparation data, image augmentation, pre-processing data, pemodelan menggunakan CNN, epoch hyperparameter tuning, dan data interpretation. Di dalam penelitian ini, acuan hasil yang optimal berpatokan pada nilai rerata accuracy dan val accuracy. Hasil penelitian menunjukkan bahwa secara keseluruhan skenario epoch memiliki rerata accuracy dan val accuracy di atas 89%, dengan terdapat 6 skenario epoch dengan persentasi rerata accuracy dan val accuracy di atas 90%, yakni epoch 85, epoch 90, epoch 80, epoch 95, epoch 75, dan epoch 100. Sedangkan untuk skenario epoch dengan nilai rerata accuracy dan val accuracy tertinggi terdapat pada epoch 85 dimana disimpulkan bahwa epoch 85 merupakan titik optimal dalam penelitian ini.","PeriodicalId":17680,"journal":{"name":"JTERA (Jurnal Teknologi Rekayasa)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80141497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Sistem Keamanan Gerbang Parkir Menggunakan Algoritma YOLO (You Only Look Once) dan Face Recognition 停车场保安系统使用的是YOLO算法和Face Recognition
JTERA (Jurnal Teknologi Rekayasa) Pub Date : 2022-12-31 DOI: 10.31544/jtera.v7.i2.2022.189-200
Tata Supriyadi, Kemal Taufik Fikri
{"title":"Sistem Keamanan Gerbang Parkir Menggunakan Algoritma YOLO (You Only Look Once) dan Face Recognition","authors":"Tata Supriyadi, Kemal Taufik Fikri","doi":"10.31544/jtera.v7.i2.2022.189-200","DOIUrl":"https://doi.org/10.31544/jtera.v7.i2.2022.189-200","url":null,"abstract":"","PeriodicalId":17680,"journal":{"name":"JTERA (Jurnal Teknologi Rekayasa)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72924454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信