2020 8th International Conference on Information and Communication Technology (ICoICT)最新文献_第4页

Green Production Using ERP: Case Study in The Leather Tanning Industry 利用ERP进行绿色生产:皮革制革行业的案例研究

2020 8th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2020-06-01 DOI: 10.1109/ICoICT49345.2020.9166338

Ihwanul Ikhsan, A. Ridwan, M. Saputra

{"title":"Green Production Using ERP: Case Study in The Leather Tanning Industry","authors":"Ihwanul Ikhsan, A. Ridwan, M. Saputra","doi":"10.1109/ICoICT49345.2020.9166338","DOIUrl":"https://doi.org/10.1109/ICoICT49345.2020.9166338","url":null,"abstract":"Along with the times, information technology must be a public need that must be approved, including for companies. PT. Elco Indonesia Sejahtera is a company engaged in the trading of leather for the production of garment materials, gloves, and various other leather goods. This company is located on the street of Gagak Lumayung, Wetan City, Garut Kota District, Garut Regency, West Java. Production processes that produce complex solid and liquid environments use clam fuel in the process. This will be dangerous for the environment. Green Production is one way to overcome the process of making goods that can support business processes at PT. Elco Indonesia Sejahtera. Therefore in this study will develop a Green ERP application in the production module to realize an environmentally friendly green industry. This research uses SAP Activate method that starts from the interview process, starts with observation, and analyzes business processes, and analyzes and discusses the system by configuring and discussing module production. This study uses a system that supports the business process of PT Elco Indonesia Sejahtera, Odoo. The results of this study are ERP systems that are supported by Odoo and have been adapted to the company’s business processes that have been redesigned and are expected to facilitate the company in carrying out business process activities specifically produced at PT. Elco Indonesia Sejahtera. This research is able to integrate the manufacturing module with the green procurement and green sales and distribution modules. The green production module can produce monitoring reports (Manufacturing Orders, Work Orders, and Overall Equipment Affection) from manufacturing orders in the Manufacturing module for the Odoo-based leather tanning industry.","PeriodicalId":113108,"journal":{"name":"2020 8th International Conference on Information and Communication Technology (ICoICT)","volume":"216 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131434313","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: 5

A Comparative Study of Internet Architecture and Applications of Online Music Streaming Services: The Impact on The Global Music Industry Growth 互联网架构与在线音乐流媒体服务应用的比较研究:对全球音乐产业增长的影响

2020 8th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2020-06-01 DOI: 10.1109/ICoICT49345.2020.9166225

Ramy A. Rahimi, Kyung-hye Park

{"title":"A Comparative Study of Internet Architecture and Applications of Online Music Streaming Services: The Impact on The Global Music Industry Growth","authors":"Ramy A. Rahimi, Kyung-hye Park","doi":"10.1109/ICoICT49345.2020.9166225","DOIUrl":"https://doi.org/10.1109/ICoICT49345.2020.9166225","url":null,"abstract":"On-demand music streaming has grown remarkably driving the growth in digital to compensate for the decline in downloads. Additionally, Technology and innovation has donated immensely to the Internet architecture and applications of audio streaming services. More recently, the rise in paid music streaming service companies such as Apple Music, MelOn, YouTube Music, Spotify, and SoundCloud was responsible for the increase of the on-demand music streaming services revenue. The rapid birth of these new audio streaming services relied on not only the mobile or online applications but also on the market penetration strategy of companies from different industries motivated to take part of the Music Industry. This comparative study of major music streaming services illustrates the significant impact of on-demand music streaming services on the global growth of the Recorded Music Industry. Additionally, the study underlines Internet technology advancement, connectivity including Wireless, and dynamic and diverse markets as the driving forces behind the rapid growth of on-demand music streaming services. From a practical perspective, this research study provides insights on the current state of the Music Industry and its future direction that can be valuable to new entrants, current market players, investors, stakeholders, and R & D.","PeriodicalId":113108,"journal":{"name":"2020 8th International Conference on Information and Communication Technology (ICoICT)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132751975","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: 6

A Review of Routing Protocols for Vehicular Ad-Hoc Networks (VANETs) 车载Ad-Hoc网络路由协议综述

2020 8th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2020-06-01 DOI: 10.1109/ICoICT49345.2020.9166174

S. Yogarayan, S. F. A. Razak, A. Azman, M. F. A. Abdullah, S. Z. Ibrahim, K. J. Raman

引用次数: 15

Impact Analysis on Disaster Data for Disaster Risk Reduction from Multiple Stakeholders Perspective 多利益相关者视角下灾害数据对减灾的影响分析

2020 8th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2020-06-01 DOI: 10.1109/ICoICT49345.2020.9166308

Syamil Zayid, Nur Azaliah Abu Bakar, Mageshwari Valachamy, N. A. Malek, Mohd. Naz'ri bin Mahrin, K. A. Razak

{"title":"Impact Analysis on Disaster Data for Disaster Risk Reduction from Multiple Stakeholders Perspective","authors":"Syamil Zayid, Nur Azaliah Abu Bakar, Mageshwari Valachamy, N. A. Malek, Mohd. Naz'ri bin Mahrin, K. A. Razak","doi":"10.1109/ICoICT49345.2020.9166308","DOIUrl":"https://doi.org/10.1109/ICoICT49345.2020.9166308","url":null,"abstract":"Currently, the process in Disaster Risk Reduction (DRR) relies heavily on geospatial information defined as information contained in topographic maps, thematic maps, plans, charts and satellite images. The preparation and use of geospatial information involve parties such as custodians, data providers, users and vendors. However, nonspatial data also crucial in DRR. Due to different data formats, sizes and type of both spatial and nonspatial data, data processing becomes more complex and time-consuming. Furthermore, some supplied data are lack of specific reasoning behind it. As a result, a volume of spatial and nonspatial data keep piling up daily without any beneficial utilisation. Therefore, this paper aims to investigate the impact of disaster-related data of both spatial and nonspatial that contribute to DRR from multiple stakeholders’ perspective. The research is conducted through a focus group discussion (FGD) interview with a total of 54 agencies that involve in DRR in Selangor State, Malaysia. Based on the findings, vulnerability data is the most impactful data for DRR, followed by base data, hazard data, exposure data and risk impact assessment data. The findings from this study will provide the DRR data priority list from various agencies perspective, which can help to anticipated is asters or at least reduce the risk of disaster. This could also assist the relevant agencies to prepare for DRR management more proactively.","PeriodicalId":113108,"journal":{"name":"2020 8th International Conference on Information and Communication Technology (ICoICT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132915981","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

Automatic First Arrival Picking on P-Wave Seismic Signal Using Support Vector Machine Method 基于支持向量机的p波地震信号自动初到拾取

2020 8th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2020-06-01 DOI: 10.1109/ICoICT49345.2020.9166267

Muhammad Wahyu Putra Indi, Astri Novianty, Anggunmeka Luhur Prasasti

{"title":"Automatic First Arrival Picking on P-Wave Seismic Signal Using Support Vector Machine Method","authors":"Muhammad Wahyu Putra Indi, Astri Novianty, Anggunmeka Luhur Prasasti","doi":"10.1109/ICoICT49345.2020.9166267","DOIUrl":"https://doi.org/10.1109/ICoICT49345.2020.9166267","url":null,"abstract":"Automatic First Arrival Picking is a system that can get a P-Wave or the first wave that comes in an earthquake wave. Because of the P-Wave is the first wave to come, it needs research that can get the arrival of P-Wave automatically. The aim of this study is to create an Automatic First Arrival Picking system and to test the performance of methods that will later get P-Wave Picking results and also to get the accuracy of the Support Vector Machine (SVM) as its classification method. First, earthquake sample data must go through the Feature Extraction stage so that the feature results can be used as input to the SVM classification method. In this study sample data S-Wave and Noise are considered as No P-Wave, so there are only two classifications in SVM, namely P-Wave and No P-Wave. The results of this research were got an Automatic First Arrival Picking system with an accuracy performance of 88.00%, precision of 90.00%, recall of 73.50%,f1-score of 78.00% with certain time windowing, data partition, and regularization (C) parameter.","PeriodicalId":113108,"journal":{"name":"2020 8th International Conference on Information and Communication Technology (ICoICT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125617647","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: 5

Single Triaxial Accelerometer-Gyroscope Classification for Human Activity Recognition 单三轴加速度计-陀螺仪分类人体活动识别

2020 8th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2020-06-01 DOI: 10.1109/ICoICT49345.2020.9166329

A. E. Minarno, Wahyu Andhyka Kusuma, Hardianto Wibowo, Denar Regata Akbi, N. Jawas

{"title":"Single Triaxial Accelerometer-Gyroscope Classification for Human Activity Recognition","authors":"A. E. Minarno, Wahyu Andhyka Kusuma, Hardianto Wibowo, Denar Regata Akbi, N. Jawas","doi":"10.1109/ICoICT49345.2020.9166329","DOIUrl":"https://doi.org/10.1109/ICoICT49345.2020.9166329","url":null,"abstract":"Evaluated activity as a detail of the human physical movement has become a leading subject for researchers. Activity recognition application is utilized in several areas, such as living, health, game, medical, rehabilitation, and other smart home system applications. For recognizing the activity, the accelerometer was popular sensors. As well as a gyroscope, in addition to dimension, low computation, and can be embedded in a smartphone. Used smartphone with an accelerometer as a popular solution for recognized daily activity. Signal was generated from the accelerometer as a time-series data is an actual approach like a human activity pattern. Traditional machine learning method in mid of the modern method worth it considering. Single position triaxial accelerometer-gyroscope Motion data have acquired in an of 30 volunteers. Basic actives (Laying, Standing, Sitting, Walking, Walking Upstairs, Walking Downstairs) were collected from volunteers. Decision Tree, Random Forest, Extra Trees Classifier, KNN, Logistic Regression, SVC, Ensemble Vote Classifier. The purposed method, logistic regression, achieves 98% accuracy. Furthermore, any feature selection and extraction method were not used.","PeriodicalId":113108,"journal":{"name":"2020 8th International Conference on Information and Communication Technology (ICoICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128981493","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: 11

Comparative Analysis of Decision Tree Algorithm for Learning Ordinal Data Expressed as Pairwise Comparisons 以两两比较表示的有序数据学习决策树算法的比较分析

2020 8th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2020-06-01 DOI: 10.1109/ICoICT49345.2020.9166341

N. N. Qomariyah, Eileen Heriyanni, A. Fajar, D. Kazakov

引用次数: 4

Security Functional Requirements for The Development of a Biometrics Attendance System 生物识别考勤系统开发的安全功能需求

2020 8th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2020-06-01 DOI: 10.1109/ICoICT49345.2020.9166294

Rahmat Yasirandi, Parman Sukarno, MHD. Algiansyah, Emiya Fefayosa Br Tarigan

引用次数: 3

SigFox Network Planning for Smart Metering Based on Intemet of Things for Dense Urban Scenario 密集城市场景下基于物联网的智能电表SigFox网络规划

2020 8th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2020-06-01 DOI: 10.1109/ICoICT49345.2020.9166398

M. I. Nashiruddin, Alvin Yusri

{"title":"SigFox Network Planning for Smart Metering Based on Intemet of Things for Dense Urban Scenario","authors":"M. I. Nashiruddin, Alvin Yusri","doi":"10.1109/ICoICT49345.2020.9166398","DOIUrl":"https://doi.org/10.1109/ICoICT49345.2020.9166398","url":null,"abstract":"The use of the Internet of Things (IoT) continues to increase rapidly both in terms of the number of devices connected, network connectivity technologies, and various use cases. One of the broadest use of IoT technologies is Smart Metering using Sigfox technology. However, it is scarce for scholars to discuss Sigfox network planning, especially for the dense urban scenario. This research explored Sigfox network planning for Smart Metering services in Jakarta City, as the dense urban area and the capital city of Indonesia. The network planning methods are using capacity planning and coverage planning analysis as well as network deployment simulations using the Forsk Atol 3.2.2 software. It is found that to serve Smart Metering in the Jakarta city area, 58 gateways are needed. The coverage prediction simulation results in the highest signal level received of -70dBm, the lowest received signal level of-125 dBm, and an average received signal level of -74.79dBm. While the Signal to Noise Ratio (SNR) simulation generated the highest SNR level of 30 dB, the lowest SNR level of -6dB, and an average SNR level of 24.43 dB.","PeriodicalId":113108,"journal":{"name":"2020 8th International Conference on Information and Communication Technology (ICoICT)","volume":"435 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122928735","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: 5

NB-IoT Network Planning for Advanced Metering Infrastructure in Surabaya, Sidoarjo, and Gresik 泗水、Sidoarjo和Gresik先进计量基础设施的NB-IoT网络规划

2020 8th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2020-06-01 DOI: 10.1109/ICoICT49345.2020.9166315

M. I. Nashiruddin, Arrizky Ayu Faradila Purnama

{"title":"NB-IoT Network Planning for Advanced Metering Infrastructure in Surabaya, Sidoarjo, and Gresik","authors":"M. I. Nashiruddin, Arrizky Ayu Faradila Purnama","doi":"10.1109/ICoICT49345.2020.9166315","DOIUrl":"https://doi.org/10.1109/ICoICT49345.2020.9166315","url":null,"abstract":"Narrow Band Internet of Things (NB-IoT) technology is one of the Low Power Wide Area (LPWA) technologies with low cost, low power consumption, and wide range connectivity. NB-IoT is supported by cellular networks or Long-Term Evolution (LTE) with 3GPP Release 13 standard, making NB-IoT becomes an appropriate technology for the development and needs of the Internet of Things (IoT). Connectivity is needed to guarantee the service connection, in which one of the technologies is Narrow Band Internet of Things (NB-IoT). As an example of the NB-IoT rollout in urban areas, the study conducted the network design and analysis for AMI (Advanced Metering Infrastructure) in cities of Surabaya, Sidoarjo, and Gresik. The study result indicates that both coverage and capacity of the gateway requirements for Internet of Things (IoT) network planning using NB-IoT are 20 sites for the Surabaya area, 7 sites for the Sidoarjo area, and 5 sites for the Gresik area. Based on the simulations undertaken, the average acceptable signal levels are −57.9dBm for Surabaya, 59.62 dBm for Sidoarjo, and −58.71dBm for Gresik. And for Received Signal Strength Indicator (RSSI) value or sensitivity at the receiver for the three regions, the above standard sensitivity value for NB-IoT is −141dBm, while the minimum sensitivity value for the Surabaya, Sidoarjo and Gresik areas are −100dBm, −104dBm, and −105dBm. The study results also show different network planning parameters although it was planned in the same urban area and using the same capacity per cell approach model. It is possible to happen because of different environmental conditions, different number of users and different coverage areas in each urban city.","PeriodicalId":113108,"journal":{"name":"2020 8th International Conference on Information and Communication Technology (ICoICT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121149186","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: 3