Buana Information Technology and Computer Sciences (BIT and CS)最新文献

A Detection of Malacca Woven Fabric Motifs Using the YOLOv4 Method 使用 YOLOv4 方法检测马六甲织物图案

Buana Information Technology and Computer Sciences (BIT and CS) Pub Date : 2024-01-31 DOI: 10.36805/bit-cs.v5i1.6081

A. Neno, Aviv Yuniar Rahman, Fitri Marisa

引用次数: 0

Detection of Diseases and Pests on The Leaves of Sweet Potato Plants sing Yolov4 检测甘薯叶片上的病虫害 sing Yolov4

Buana Information Technology and Computer Sciences (BIT and CS) Pub Date : 2024-01-28 DOI: 10.36805/bit-cs.v5i1.6065

Melita Nisti, Aviv Yuniar Rahman, Fitri Marisa

{"title":"Detection of Diseases and Pests on The Leaves of Sweet Potato Plants sing Yolov4","authors":"Melita Nisti, Aviv Yuniar Rahman, Fitri Marisa","doi":"10.36805/bit-cs.v5i1.6065","DOIUrl":"https://doi.org/10.36805/bit-cs.v5i1.6065","url":null,"abstract":"Sweet potato (Ipomea batats) is a root plant that can live in all weather, in mountainous areas and on the coast.. This plant is one of the important food crops in Indonesia, and makes Indonesia the second largest sweet potato producer after China. However, according to data from the Central Statistics Agency (BPS), sweet potato production in Indonesia in 2018 decreased by 5.63% when compared to production in 2017 which reached 1,914,244 tons (Gultom, 2021). Based on these data, it is important to conduct research on pest and disease detection in plants. Therefore, the author conducted a study related to this problem entitled Detection of Diseases and Pests on the Leaves of Sweet Potato Plants using Yolov4 with the aim of helping educate farmers in recognizing diseases on the leaves of sweet potato plants and how to overcome them. In this study the dataset was sweet potato leaves with a total of 1500 data divided into three classes, namely aspidomorpha, yellow spot and normal leaves with 4000 iterations. The best training results on 1500 data with 75% accuracy. The Yolov4 algorithm produces high accuracy in detecting diseases in the leaves of sweet potato plants. \u0000 ","PeriodicalId":389042,"journal":{"name":"Buana Information Technology and Computer Sciences (BIT and CS)","volume":"92 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140491583","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

Implementation of Orange Data Mining to Predict Student Graduation on Time at Pringsewu Muhammadiyah University 在 Pringsewu Muhammadiyah 大学实施橙色数据挖掘以预测学生按时毕业情况

Buana Information Technology and Computer Sciences (BIT and CS) Pub Date : 2024-01-25 DOI: 10.36805/bit-cs.v5i1.6073

Roby Novianto, Bambang Triraharjo, Baskoro

{"title":"Implementation of Orange Data Mining to Predict Student Graduation on Time at Pringsewu Muhammadiyah University","authors":"Roby Novianto, Bambang Triraharjo, Baskoro","doi":"10.36805/bit-cs.v5i1.6073","DOIUrl":"https://doi.org/10.36805/bit-cs.v5i1.6073","url":null,"abstract":"Thel prolcelss olf molnitolring and elvaluating thel graduatioln olf Muhammadiyah Pringselwu Univelrsity (UMPRI) studelnts relally nelelds tol bel dolnel belcausel thel studelnt graduatioln ratel is an ellelmelnt olf accrelditatioln asselssmelnt that is velry impolrtant folr elach Study Prolgram. Data Mining can bel useld tol classify studelnt graduatioln accuracy. This study aims tol apply thel olrangel data mining applicatioln using thel K-Nelarelst Nelighbolr (K-NN), Delcisioln Trelel and Naivel Bayels moldells and will theln elvaluatel thel accuracy olf elach olf thelsel moldells. This relselarch was colnducteld at Pringselwu Muhammadiyah Univelrsity in selvelral batchels, theln studelnt data will bel analyzeld using thel olrangel data mining applicatioln using thel K-NN, Delcisioln Trelel and Naivel Bayels moldells. Thel data telsting prolcelss appliels K-Folld Crolss Validatioln (K=5), whilel thel elvaluatioln moldell useld is thel Colnfusioln Matrix and ROlC. Thel relsults olf thel colmparisoln olf thel threlel moldells arel as folllolws, K-NN has an accuracy ratel olf 75.7%, Delcisioln Trelel has an accuracy ratel olf 78.1%, and Naivel Bayels has an accuracy ratel olf 77.8%. Thelrelfolrel, folr classifying thel graduatioln ratel olf Muhammadiyah Univelrsity studelnts, Pringselwu relcolmmelnds thel Delcisioln Trelel moldell belcausel it has a belttelr lelvell olf accuracy than K-NN and Naivel Bayels.","PeriodicalId":389042,"journal":{"name":"Buana Information Technology and Computer Sciences (BIT and CS)","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140495507","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

T Taking Into Account Imprecision in the Modeling Voter in a Multi-Agent Environment T 考虑到多代理环境中建模者的不精确性

Buana Information Technology and Computer Sciences (BIT and CS) Pub Date : 2024-01-21 DOI: 10.36805/bit-cs.v5i1.5800

Michel Milambu Belangany, Pièrre Kafunda Katalayi, Eugène Mbuyi Mukendi

引用次数: 0

Examining Healthcare Profesional’s Acceptance of Electronic Medical Records System using Extended UTAUT2 利用扩展的UTAUT检验医疗保健专业人员对电子病历系统的接受程度2

Buana Information Technology and Computer Sciences (BIT and CS) Pub Date : 2024-01-21 DOI: 10.36805/bit-cs.v5i1.5723

Milenia Ayukharisma Milenia Ayukharisma, Dian Budi Santoso

{"title":"Examining Healthcare Profesional’s Acceptance of Electronic Medical Records System using Extended UTAUT2","authors":"Milenia Ayukharisma Milenia Ayukharisma, Dian Budi Santoso","doi":"10.36805/bit-cs.v5i1.5723","DOIUrl":"https://doi.org/10.36805/bit-cs.v5i1.5723","url":null,"abstract":"This study aims to analyze user acceptance of the Electronic Medical Record system using the extended Unified Theory of Acceptance and Use Technology 2 model at PKU Muhammadiyah Bantul hospital. The UTAUT 2 model was chosen because it is the latest technology acceptance model which is a unification, synthesis, or summary of the eight pre-existing technology acceptance models. The subjects in this study were PKU Muhammadiyah Bantul hospital employees who used an electronic medical record system specifically for outpatient care. The object of this study is user acceptance of using the RME system in health services. Data collection techniques in this study are using questionnaires and observation. This research is a type of quantitative analytic research with data analysis using descriptive analysis. Data processing in this study used Smart-PLS software version 4.0 with SEM-PLS data analysis. The results showed that the aspects of the extended UTAUT2 model that had a positive and significant effect on user acceptance were performance expectancy (t=1.816), while the aspects of effort expectancy (t=0.419), social influence (t=0.635), facilitating conditions (t=0.139), hedonic motivation (t=0.909), price value (t=.304) habit (t=1.458), trust (t=0.032) and perceived risk (1.365) have no effect on user acceptance of the EMR system. Gender and age moderation variables were found to have no effect on the relationship between variables.","PeriodicalId":389042,"journal":{"name":"Buana Information Technology and Computer Sciences (BIT and CS)","volume":"235 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140500990","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

Implementation Of Marker-Based Tracking Method On Augmented Reality In Multimedia Learning (Case Study Of STMIK Tegal) 在多媒体学习中采用基于标记的增强现实跟踪方法（STMIK Tegal 案例研究）

Buana Information Technology and Computer Sciences (BIT and CS) Pub Date : 2024-01-20 DOI: 10.36805/bit-cs.v5i1.5898

Gunawan Gunawan, Wresti Andriani, Sawaviyya Anandianskha, Muhammad Indratama

{"title":"Implementation Of Marker-Based Tracking Method On Augmented Reality In Multimedia Learning (Case Study Of STMIK Tegal)","authors":"Gunawan Gunawan, Wresti Andriani, Sawaviyya Anandianskha, Muhammad Indratama","doi":"10.36805/bit-cs.v5i1.5898","DOIUrl":"https://doi.org/10.36805/bit-cs.v5i1.5898","url":null,"abstract":"Introducing campus locations for new students or address seekers is an important activity. Multimedialearning is not only a tool for creating harmonious presentations and alternatives that combine visualand audio media; technology can be used for its tools. Augmented Reality (AR) is one of them.Augmented Reality is helpful as a combination of virtual and Reality devices that operate interactivelyin a realtime natural environment. Based Marker Tracking is a method used to make objects into twodimensions and three dimensions whose process begins with directing the marking object by the userusing the camera on the mobile device until the camera reads the object. Light intensity affects detectionsuccess, and distance calculation also becomes essential. If the marker is successfully detected, theapplication will convert it into a 3-dimensional object as the final result. In this study, a location searchwill be carried out for the STMIK TEGAL Campus Building using Augmented Reality based on theBased Marker Tracking method to produce the most ideal conditions to be able to display 3D objectsfrom the STMIK TEGAL Building, which is a distance of 15 to 25 cm with bright Light using Android,so that this application can be used to find the location of the STMIK TEGAL Building.","PeriodicalId":389042,"journal":{"name":"Buana Information Technology and Computer Sciences (BIT and CS)","volume":"11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139524499","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

Using I-Hubs for Bridging The Gap of Digital Divide in Rural Kenya 利用i - hub弥合肯尼亚农村的数字鸿沟

Buana Information Technology and Computer Sciences (BIT and CS) Pub Date : 2023-07-27 DOI: 10.36805/bit-cs.v4i2.5165

Samuel Lusweti, K. Omieno

{"title":"Using I-Hubs for Bridging The Gap of Digital Divide in Rural Kenya","authors":"Samuel Lusweti, K. Omieno","doi":"10.36805/bit-cs.v4i2.5165","DOIUrl":"https://doi.org/10.36805/bit-cs.v4i2.5165","url":null,"abstract":"The world is moving towards digital economy where almost everything being done today is digitally controlled because necessity is the mother of innovation. Everybody is striving to attain digital stability as a lot of revenue is generated in the digital world. Digital divide therefore becomes so disadvantageous to people left without access to computers and the internet. In this paper, researchers discuss the role of Kenyan innovation hubs in closing the gap between those who have access to the internet and computers and those who do not. The paper discuss the World Bank projection of the GDP emanating from the use of ICTs and the challenges facing innovation. Government support plays a key role in ensuring that the people secluded from ICTs are able to access these services especially those in rural areas. This research found that in Kenya, innovation hubs have helped the citizens staying in rural areas to gain access to internet and develop their ideas and innovations as well as undergo mentorship. Nonetheless, a lot of support is needed from the Kenyan government through the launching of more innovation hubs especially in rural areas that can help improve the online business, innovation and thus increase the GDP from ICTs.","PeriodicalId":389042,"journal":{"name":"Buana Information Technology and Computer Sciences (BIT and CS)","volume":"201 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134111140","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

IOT-Based Farmland Intrusion Detection System 基于物联网的农田入侵检测系统

Buana Information Technology and Computer Sciences (BIT and CS) Pub Date : 2023-07-27 DOI: 10.36805/bit-cs.v4i2.4332

E. Ibam, O. Boyinbode, Helen Aladesiun

{"title":"IOT-Based Farmland Intrusion Detection System","authors":"E. Ibam, O. Boyinbode, Helen Aladesiun","doi":"10.36805/bit-cs.v4i2.4332","DOIUrl":"https://doi.org/10.36805/bit-cs.v4i2.4332","url":null,"abstract":"As crop vandalization with conflicts between farmers and herdsmen become recurrent in Nigeria, existing farm intrusion prevention methods such as fence mounting and placement of farm guards can no longer guarantee farm security. This is because intruders either jump over the fence or attack guards on duty without visual evidence. Therefore, a complementary approach using computer technologies for effective detection is required. This paper presents an IoT-based farm intrusion detection model using RFID and image recognition technology. RFID sensor as well as cameras are placed at entrances of a fenced farmland for simultaneous identification. The sensor reads workers’ tags for identification, while cameras capture images of users for further identification as captured images are sent to Convolutional Neutral Network (CNN) for recognition. A user whose image cannot be recognized is flagged as an intruder and an intrusion alert with visual evidence is sent to the farm owner. The system showed a high level of effectiveness with an accuracy of 90%, Precision of 70%, and 80% Recall rate and effectively controlled the rate of illegal encroachment into farmland. ","PeriodicalId":389042,"journal":{"name":"Buana Information Technology and Computer Sciences (BIT and CS)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131620885","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

Agglomerative Clustering of 2022 Earthquakes in North Sulawesi, Indonesia 印度尼西亚北苏拉威西岛2022年地震的聚集聚类

Buana Information Technology and Computer Sciences (BIT and CS) Pub Date : 2023-07-27 DOI: 10.36805/bit-cs.v4i2.5361

Afrioni Roma Rio, Berton Maruli Siahaan

{"title":"Agglomerative Clustering of 2022 Earthquakes in North Sulawesi, Indonesia","authors":"Afrioni Roma Rio, Berton Maruli Siahaan","doi":"10.36805/bit-cs.v4i2.5361","DOIUrl":"https://doi.org/10.36805/bit-cs.v4i2.5361","url":null,"abstract":"This paper presents a cluster analysis of earthquake data in the surrounding region of North Sulawesi, Indonesia. The dataset comprises seismic data recorded throughout the year 2022, obtained from the BMKG earthquake repository. A total of 211 earthquakes were included in the analysis, with a minimum magnitude threshold of 2.5 and a maximum depth of 300 km. The agglomerative clustering technique, combined with the elbow method, was employed to determine the optimal and distinct number of clusters. As a result, four unique clusters were identified. Cluster 1 exhibited high magnitudes, with an average magnitude of 4.4, and shallow depths, averaging at 20 km. Cluster 2 also had high magnitudes, averaging at 4.4, but deeper depths, with an average of 199 km. Cluster 3 consisted of earthquakes with low magnitudes, averaging at 3.4, and shallow depths, averaging at 21 km. Lastly, Cluster 4 comprised earthquakes with low magnitudes, averaging at 3.4, but deeper depths, with an average of 136 km. Among the 211 earthquakes, 29 were assigned to Cluster 1, 39 to Cluster 2, 100 to Cluster 3, which had the highest population, and 43 to Cluster 4. This study provides valuable insights into the clustering patterns and characteristics of earthquakes in the region, contributing to a better understanding of seismic activity in North Sulawesi, Indonesia","PeriodicalId":389042,"journal":{"name":"Buana Information Technology and Computer Sciences (BIT and CS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126662137","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

Saubhagya: An Online Food Donation Platform for Ending Hunger and Malnutrition in Sri Lanka Saubhagya:斯里兰卡消除饥饿和营养不良的在线食物捐赠平台

Buana Information Technology and Computer Sciences (BIT and CS) Pub Date : 2023-07-27 DOI: 10.36805/bit-cs.v4i2.5235

G.H.T.R. Irushika, J. J. Sathsara, K. Wijesinghe, D. I. D. Silva, Ph Udeshika, Richard de Zoysa

{"title":"Saubhagya: An Online Food Donation Platform for Ending Hunger and Malnutrition in Sri Lanka","authors":"G.H.T.R. Irushika, J. J. Sathsara, K. Wijesinghe, D. I. D. Silva, Ph Udeshika, Richard de Zoysa","doi":"10.36805/bit-cs.v4i2.5235","DOIUrl":"https://doi.org/10.36805/bit-cs.v4i2.5235","url":null,"abstract":"Hunger and malnutrition continue to be significant challenges in developing nations, including Sri Lanka. To address this issue, the research paper presents \"Saubhagya,\" an online web application that provides a platform for social assistance. The platform allows individuals to donate food and groceries to needy organizations such as blind, deaf, orphanages, making it a user-friendly and effective solution. Users are required to register as food donators, needy people(organizations), partners and food collection agents. The system connects these user groups when necessary, ensuring a smooth and efficient process. One unique feature of \"Saubhagya\" is its live capability of tracking food collection and delivery using GPS and Google Maps. This feature ensures that food donations are delivered to the right organizations promptly, promoting transparency, accountability, and communication among users. The research paper aims to evaluate the effectiveness of \"Saubhagya\" in reducing hunger and malnutrition in Sri Lanka through user feedback and system performance metrics. If successful, the platform can be scaled to other developing nations facing similar challenges. This research demonstrates the potential of digital platforms in addressing social and environmental challenges. By leveraging technology, collective action can be harnessed to create positive social impact. \"Saubhagya\" represents a significant step forward in the fight against hunger and malnutrition, and it is hoped that it can inspire others to use technology to address pressing global issues.","PeriodicalId":389042,"journal":{"name":"Buana Information Technology and Computer Sciences (BIT and CS)","volume":"436 7049 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128220636","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