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Model and prototype of mobile incubator using PID controller based on Arduino Uno 基于Arduino Uno的PID控制器的移动培养箱模型与原型
Jurnal Teknologi dan Sistem Komputer Pub Date : 2020-01-24 DOI: 10.14710/jtsiskom.8.1.2020.69-77
M. Munadi, R. A. Pandu, Rizky Wiradinata, H. Julianti, Rudy Setiawan
{"title":"Model and prototype of mobile incubator using PID controller based on Arduino Uno","authors":"M. Munadi, R. A. Pandu, Rizky Wiradinata, H. Julianti, Rudy Setiawan","doi":"10.14710/jtsiskom.8.1.2020.69-77","DOIUrl":"https://doi.org/10.14710/jtsiskom.8.1.2020.69-77","url":null,"abstract":"One of the causes of the high infant mortality rate in Indonesia is the lack of health support facilities in remote areas, including incubators, to keep the baby's body warm at a specific temperature. This research develops a model and prototype of a mobile incubator to carry and maintain the baby's temperature during emergencies to get further treatment to hospitals that have better facilities than incomplete health clinic facilities. The mobile incubator prototype uses a PID controller system with the optimum gain value Kp 1.501, Ki 0.016, and Kd -1,319 from the results of modeling and tuning in Matlab. The results of the bode plot analysis show that system stability was achieved with a gain margin of 109 dB. The incubator's operational mobility can last up to 59.6 minutes with two 12 V, 5 Ah batteries.","PeriodicalId":56231,"journal":{"name":"Jurnal Teknologi dan Sistem Komputer","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67028311","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: 2
Mamdani fuzzy inference system for mapping water quality level of biofloc ponds in catfish cultivation 用于绘制鲶鱼养殖生物絮团池塘水质级别图的马姆达尼模糊推理系统
Jurnal Teknologi dan Sistem Komputer Pub Date : 2020-01-18 DOI: 10.14710/jtsiskom.8.2.2020.84-88
Herryawan Pujiharsono, D. Kurnianto
{"title":"Mamdani fuzzy inference system for mapping water quality level of biofloc ponds in catfish cultivation","authors":"Herryawan Pujiharsono, D. Kurnianto","doi":"10.14710/jtsiskom.8.2.2020.84-88","DOIUrl":"https://doi.org/10.14710/jtsiskom.8.2.2020.84-88","url":null,"abstract":"The government has launched a program to increase the production of catfish by using biofloc ponds. The biofloc ponds can maintain the quality of water biologically to maximize the growth of fish. However, the level of water quality monitoring is generally only divided into good or bad categories so that it cannot represent the condition of fish growth. Therefore, this study aims to get the level of water quality (0–100 %) using the Mamdani fuzzy inference system (FIS) algorithm based on pH, temperature, and dissolved oxygen (DO). The level of water quality was correlated based on catfish growth conditions. The results showed that the range of values of the water quality level for each condition of catfish growth was 100 % for normal-living fish, 83–99 % for stunted fish growth, and < 83% for threatened fish. The FIS algorithm had 89.92 % of accuracy.","PeriodicalId":56231,"journal":{"name":"Jurnal Teknologi dan Sistem Komputer","volume":"26 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141209076","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
Optimizing decision tree using particle swarm optimization to identify eye diseases based on texture analysis 基于纹理分析的粒子群决策树优化眼病识别
Jurnal Teknologi dan Sistem Komputer Pub Date : 2019-11-18 DOI: 10.14710/jtsiskom.8.1.2020.59-63
Toni Arifin, Asti Herliana
{"title":"Optimizing decision tree using particle swarm optimization to identify eye diseases based on texture analysis","authors":"Toni Arifin, Asti Herliana","doi":"10.14710/jtsiskom.8.1.2020.59-63","DOIUrl":"https://doi.org/10.14710/jtsiskom.8.1.2020.59-63","url":null,"abstract":"The problem of visual impairment is a serious problem with increasing cases, ranging from visual impairment to the cause of blindness. This study examines the development of an identification application for the classification of patients with eye disorders using the Decision Tree (DT) method, which is optimized using Particle Swarm Optimization (PSO). This study used 311 eye image data, consisting of 233 normal eye images and 78 eye images with glaucoma, cataracts, and uveitis. The feature extraction used Gray Level Co-occurrence Matrix (GLCM), while the feature optimization used the PSO and the learning method used DT. This optimized visual impairment classification application can improve system accuracy to 88.09 %.","PeriodicalId":56231,"journal":{"name":"Jurnal Teknologi dan Sistem Komputer","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67028243","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: 2
Combination of SOM-RBF for drought code prediction using rainfall and air temperature data SOM-RBF结合降雨和气温数据进行干旱代码预测
Jurnal Teknologi dan Sistem Komputer Pub Date : 2019-11-18 DOI: 10.14710/jtsiskom.8.1.2020.64-68
Dwi Marisa Midyanti
{"title":"Combination of SOM-RBF for drought code prediction using rainfall and air temperature data","authors":"Dwi Marisa Midyanti","doi":"10.14710/jtsiskom.8.1.2020.64-68","DOIUrl":"https://doi.org/10.14710/jtsiskom.8.1.2020.64-68","url":null,"abstract":"This study aims to predict Drought Code (DC) in Kabupaten Kubu Raya using a combination of SOM-RBF. The final weight value of SOM was used as a center on the RBF network. The input data variables are rainfall data and air temperature data for three days with three binary outputs to predict DC values. This study also observed the effect of the number of neurons, learning rates, and the number of iterations on the results of the SOM-RBF network training. The smallest MSE of training result from the SOM-RBF network was 0.159933 using 65 neurons in the hidden layer, learning rate 0.007, and epoch 45000. The detection accuracy of SOM-RBF was 91.34 % from 245 test data.","PeriodicalId":56231,"journal":{"name":"Jurnal Teknologi dan Sistem Komputer","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67028297","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
Customer segmentation using bisecting k-means algorithm based on recency, frequency, and monetary (RFM) model 基于最近、频率和货币(RFM)模型的分割k-均值算法的客户细分
Jurnal Teknologi dan Sistem Komputer Pub Date : 2019-11-18 DOI: 10.14710/jtsiskom.8.2.2020.78-83
Novianti Puspitasari, J. A. Widians, N. B. Setiawan
{"title":"Customer segmentation using bisecting k-means algorithm based on recency, frequency, and monetary (RFM) model","authors":"Novianti Puspitasari, J. A. Widians, N. B. Setiawan","doi":"10.14710/jtsiskom.8.2.2020.78-83","DOIUrl":"https://doi.org/10.14710/jtsiskom.8.2.2020.78-83","url":null,"abstract":"Information on customer loyalty characteristics in a company is needed to improve service to customers. A customer segmentation model based on transaction data can provide this information. This study used parameters from the recency, frequency, and monetary (RFM) model in determining customer segmentation and bisecting k-means algorithm to determine the number of clusters. The dataset used 588 sales transactions for PT Dinar Energi Utama in 2017. The clusters formed by the bisecting k-means and k-means algorithm were tested using the silhouette coefficient method. The bisecting k-means algorithm can form the best customer segmentation into three groups, namely Occasional, Typical, and Gold, with a silhouette coefficient of 0.58132.","PeriodicalId":56231,"journal":{"name":"Jurnal Teknologi dan Sistem Komputer","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47459117","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: 9
Comparison of distance measurement on k-nearest neighbour in textual data classification 文本数据分类中k近邻距离度量的比较
Jurnal Teknologi dan Sistem Komputer Pub Date : 2019-11-05 DOI: 10.14710/jtsiskom.8.1.2020.54-58
W. Wahyono, I. N. P. Trisna, Sarah Lintang Sariwening, M. Fajar, Danur Wijayanto
{"title":"Comparison of distance measurement on k-nearest neighbour in textual data classification","authors":"W. Wahyono, I. N. P. Trisna, Sarah Lintang Sariwening, M. Fajar, Danur Wijayanto","doi":"10.14710/jtsiskom.8.1.2020.54-58","DOIUrl":"https://doi.org/10.14710/jtsiskom.8.1.2020.54-58","url":null,"abstract":"One algorithm to classify textual data in automatic organizing of documents application is KNN, by changing word representations into vectors. The distance calculation in the KNN algorithm becomes essential in measuring the closeness between data elements. This study compares four distance calculations commonly used in KNN, namely Euclidean, Chebyshev, Manhattan, and Minkowski. The dataset used data from Youtube Eminem’s comments which contain 448 data. This study showed that Euclidian or Minkowski on the KNN algorithm achieved the best result compared to Chebycev and Manhattan. The best results on KNN are obtained when the K value is 3.","PeriodicalId":56231,"journal":{"name":"Jurnal Teknologi dan Sistem Komputer","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67028229","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: 8
Sistem Kendali dan Pemantauan Penggunaan Listrik Berbasis IoT Menggunakan Wemos dan Aplikasi Blynk 控制和监控基于电力使用的系统使用温文和Blynk应用程序
Jurnal Teknologi dan Sistem Komputer Pub Date : 2019-10-31 DOI: 10.14710/jtsiskom.7.4.2019.161-165
Mardhiya Hayaty, Ade Rufaidah Mutmainah
{"title":"Sistem Kendali dan Pemantauan Penggunaan Listrik Berbasis IoT Menggunakan Wemos dan Aplikasi Blynk","authors":"Mardhiya Hayaty, Ade Rufaidah Mutmainah","doi":"10.14710/jtsiskom.7.4.2019.161-165","DOIUrl":"https://doi.org/10.14710/jtsiskom.7.4.2019.161-165","url":null,"abstract":"Penelitian ini bertujuan mengkaji penerapan teknologi Internet of Things (IoT) untuk mengendalikan alat elektornik dan memantau daya listrik terpakai pada alat tersebut dari jarak jauh melalui Internet. Sistem diimplementasikan menggunakan Wemos D1, sensor arus ACS712, relay, dan aplikasi Blynk sebagai antarmuka sistem di smartphone. Sistem membutuhkan waktu rata-rata 0,4-3,3 detik untuk merespons perintah dari aplikasi Blynk melalui koneksi Wifi pada jarak 50-1000 meter serta sistem kendali dan pemantauan daya listrik dapat berfungsi dengan baik. Lama waktu respons sistem tidak dipengaruhi oleh jarak. Sistem dengan akses Wifi ini menjadi alternatif kendali alat dan pemantauan daya listrik selain akses SMS yang lebih lama dan Bluetooth dengan jangkauan lebih pendek.","PeriodicalId":56231,"journal":{"name":"Jurnal Teknologi dan Sistem Komputer","volume":"7 1","pages":"161-165"},"PeriodicalIF":0.0,"publicationDate":"2019-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67028165","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: 4
Performance analysis of gray code number system in image security 格雷码号码系统在图像安全中的性能分析
Jurnal Teknologi dan Sistem Komputer Pub Date : 2019-10-31 DOI: 10.14710/jtsiskom.7.4.2019.141-146
A. N. Babatunde, E. R. Jimoh, Oladipupo Oshodi, O. Alabi
{"title":"Performance analysis of gray code number system in image security","authors":"A. N. Babatunde, E. R. Jimoh, Oladipupo Oshodi, O. Alabi","doi":"10.14710/jtsiskom.7.4.2019.141-146","DOIUrl":"https://doi.org/10.14710/jtsiskom.7.4.2019.141-146","url":null,"abstract":"The encryption of digital images has become essential since it is vulnerable to interception while being transmitted or stored. A new image encryption algorithm to address the security challenges of traditional image encryption algorithms is presented in this research. The proposed scheme transforms the pixel information of an original image by taking into consideration the pixel location such that two neighboring pixels are processed via two separate algorithms. The proposed scheme utilized the Gray code number system. The experimental results and comparison shows the encrypted images were different from the original images. Also, pixel histogram revealed that the distribution of the plain images and their decrypted images have the same pixel histogram distributions, which means that there is a high correlation between the original images and decrypted images. The scheme also offers strong resistance to statistical attacks.","PeriodicalId":56231,"journal":{"name":"Jurnal Teknologi dan Sistem Komputer","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47000027","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: 2
Parameter tuning in KNN for software defect prediction: an empirical analysis 用于软件缺陷预测的KNN参数调优:一个实证分析
Jurnal Teknologi dan Sistem Komputer Pub Date : 2019-10-31 DOI: 10.14710/jtsiskom.7.4.2019.121-126
M. Mabayoje, A. O. Balogun, Hajara Jibril, Jelili Olaniyi Atoyebi, H. A. Mojeed, V. E. Adeyemo
{"title":"Parameter tuning in KNN for software defect prediction: an empirical analysis","authors":"M. Mabayoje, A. O. Balogun, Hajara Jibril, Jelili Olaniyi Atoyebi, H. A. Mojeed, V. E. Adeyemo","doi":"10.14710/jtsiskom.7.4.2019.121-126","DOIUrl":"https://doi.org/10.14710/jtsiskom.7.4.2019.121-126","url":null,"abstract":"Software Defect Prediction (SDP) provides insights that can help software teams to allocate their limited resources in developing software systems. It predicts likely defective modules and helps avoid pitfalls that are associated with such modules. However, these insights may be inaccurate and unreliable if parameters of SDP models are not taken into consideration. In this study, the effect of parameter tuning on the k nearest neighbor (k-NN) in SDP was investigated. More specifically, the impact of varying and selecting optimal k value, the influence of distance weighting and the impact of distance functions on k-NN. An experiment was designed to investigate this problem in SDP over 6 software defect datasets. The experimental results revealed that k value should be greater than 1 (default) as the average RMSE values of k-NN when k>1(0.2727) is less than when k=1(default) (0.3296). In addition, the predictive performance of k-NN with distance weighing improved by 8.82% and 1.7% based on AUC and accuracy respectively. In terms of the distance function, kNN models based on Dilca distance function performed better than the Euclidean distance function (default distance function). Hence, we conclude that parameter tuning has a positive effect on the predictive performance of k-NN in SDP.","PeriodicalId":56231,"journal":{"name":"Jurnal Teknologi dan Sistem Komputer","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46742322","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: 15
Comparative study of four indoor empirical propagation models for campus wireless network 校园无线网络四种室内经验传播模型的比较研究
Jurnal Teknologi dan Sistem Komputer Pub Date : 2019-09-18 DOI: 10.14710/jtsiskom.7.4.2019.154-160
F. S. Mukti
{"title":"Comparative study of four indoor empirical propagation models for campus wireless network","authors":"F. S. Mukti","doi":"10.14710/jtsiskom.7.4.2019.154-160","DOIUrl":"https://doi.org/10.14710/jtsiskom.7.4.2019.154-160","url":null,"abstract":"Propagation is one of the important factors to understand in wireless communication systems. Prediction of the value of propagation, especially for closed areas, is very necessary to determine success in building wireless networks. Various kinds of propagation modeling were developed to find the best approach to calculate the value of signal losses. A comparative study of 4 types of empirical propagation modeling was made to provide the most suitable propagation modeling analysis for campus wireless networks. The ITU-R model (P.1238) provides predictive results that are closest to the actual data in the field, with a relative error rate of 16.381%.","PeriodicalId":56231,"journal":{"name":"Jurnal Teknologi dan Sistem Komputer","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67028099","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: 2
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