JOINTECS (Journal of Information Technology and Computer Science)最新文献_第3页

Klasifikasi Logo Mobil Menggunakan Jaringan Syaraf Tiruan Backpropagation dan Decision Tree

JOINTECS (Journal of Information Technology and Computer Science) Pub Date : 2022-02-01 DOI: 10.31328/jointecs.v7i1.3464

Syahroni Wahyu Iriananda, Rangga Pahlevi Putra, Firman Nurdiyansyah, ‪Fitri Marisa, Istiadi Istiadi

{"title":"Klasifikasi Logo Mobil Menggunakan Jaringan Syaraf Tiruan Backpropagation dan Decision Tree","authors":"Syahroni Wahyu Iriananda, Rangga Pahlevi Putra, Firman Nurdiyansyah, ‪Fitri Marisa, Istiadi Istiadi","doi":"10.31328/jointecs.v7i1.3464","DOIUrl":"https://doi.org/10.31328/jointecs.v7i1.3464","url":null,"abstract":"The car logo itself is very distinguishing in a car is a vehicle logo that serves to introduce to the public about their brand. This will also create its own appeal to the public in knowing the existing car logo. Types in study aims to classify for car logos in Indonesia. So that later people will understand in choosing a car with a quality brand. From the results obtained that the Decision Tree at split ratio 50:50 precision gets a value of 0.604, recall gets a value of 0.611, f-measure gets a value of 0.598 and accuracy gets a value of 95.70% at comparing data testing and training 50:50. Then the tests carried out by ANNbackpropagation resulted in a split ratio of 50:50 texture and shape features with a precision value reaching 0.680, recall getting a value of 0.521, f-measurement getting a value of 0.600 and accuracy also having the highest value generated by ANNbackpropagation reaching 92.50% at comparing data testing and training 50:50. The results prove that the classification using Decision Tree produces the highest accuracy, precision, recall, and f-measure compared to the decision tree.","PeriodicalId":259537,"journal":{"name":"JOINTECS (Journal of Information Technology and Computer Science)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130375942","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

Deteksi Infeksi Mycoplasma Pneumoniae Pneumonia Menggunakan Komparasi Algoritma Klasifikasi Machine Learning 使用比较算法分类学习机器检测肺炎球菌感染

JOINTECS (Journal of Information Technology and Computer Science) Pub Date : 2022-02-01 DOI: 10.31328/jointecs.v7i1.3242

Ilham Firdaus

{"title":"Deteksi Infeksi Mycoplasma Pneumoniae Pneumonia Menggunakan Komparasi Algoritma Klasifikasi Machine Learning","authors":"Ilham Firdaus","doi":"10.31328/jointecs.v7i1.3242","DOIUrl":"https://doi.org/10.31328/jointecs.v7i1.3242","url":null,"abstract":"Mycoplasma Pneumoniae Pneumonia is a pathogen that attacks the respiratory tract causing an infection. This infection generally occurs in school children and adolescents. Most of these infections are known as mild infections and go away on their own. However, there are cases of extrapulmonary manifestations including neurologic, dermatological, hematological and cardiac syndromes that can result in hospitalization and death. This can be minimized if early detection is carried out on people who are susceptible to the infection. One way is to apply machine learning. So that this can be achieved in this study, several machine learning algorithms will be used, namely Decision Tree, Logistic Regression, Gradient Boosting Decision Tree and Support Vector Machine. Each model will be modified on its hyperparameters using the Grid Search, Random Search and Hyperband methods. The final result shows that the hyperparameter modification method with Hyperband has a slightly better classification performance when compared to Grid Search and Random Search with f-score and accuracy values, namely 0.887 and 0.894 for Decision Tree, 0.942 and 0.947 for Logistic Regression, 0.910 and 0.915 for the Gradient Boosting Decision Tree and 0.591 and 0.715 for Support Vector Machine.","PeriodicalId":259537,"journal":{"name":"JOINTECS (Journal of Information Technology and Computer Science)","volume":"299 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124269082","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

Implementasi Metode Triple Des Pada Aplikasi Keamanan Pesan Berbasis Mobile 基于移动消息安全应用的三重Des方法的实现

JOINTECS (Journal of Information Technology and Computer Science) Pub Date : 2022-02-01 DOI: 10.31328/jointecs.v7i1.3281

Muhamad Alda, Mhd Ikhsan Rifki

引用次数: 0

Meningkatkan Sistem Layanan Pelanggan Dengan Pendekatan Framework ITIL

JOINTECS (Journal of Information Technology and Computer Science) Pub Date : 2022-02-01 DOI: 10.31328/jointecs.v7i1.2550

Satria Eka Dicky Kurniawan, A. Widodo, Aryo Nugroho

引用次数: 2

Implementasi Metode Preference Selection Index Pada Pemilihan Penerima Bantuan SEMBAKO 对SEMBAKO帮助接收器选择引用方法的实施

JOINTECS (Journal of Information Technology and Computer Science) Pub Date : 2022-02-01 DOI: 10.31328/jointecs.v7i1.2660

Devin Anandra, Latipah Latipah, Awalludiyah Ambarwati

{"title":"Implementasi Metode Preference Selection Index Pada Pemilihan Penerima Bantuan SEMBAKO","authors":"Devin Anandra, Latipah Latipah, Awalludiyah Ambarwati","doi":"10.31328/jointecs.v7i1.2660","DOIUrl":"https://doi.org/10.31328/jointecs.v7i1.2660","url":null,"abstract":"Sembako merupakan bantuan sosial pangan berupa non tunai dari pemerintah yang diberikan kepada Keluarga Penerima Manfaat (KPM) setiap bulan. Program sembako ini merupakan transformasi dari program BPNT (Bantuan Pangan Non Tunai) yang sudah berjalan hampir 4 tahun terhitung sejak tahun 2017, perubahan tersebut dilakukan sebagai upaya pemerintah dalam memperbaiki mekanisme pelaksanaan penyaluran bantuan pangan untuk keluarga miskin. Tujuan dari penelitian ini adalah untuk memudahkan dalam pemilihan penerima sembako. Alasan memilih topik ini dikarenakan saat observasi lapangan pada Desa Bakalan Wringinpitu dalam hal penyeleksian penerima bantuan sembako masih kurang tepat sasaran, dikarenakan proses pengumpulan data tidak dilakukan sebagaimana mestinya, seperti observasi dari rumah ke rumah, sehingga masih ada keluarga miskin yang seharusnya mendapat bantuan tetapi tidak mendapatkan bantuan tersebut. Dari permasalahan tersebut, maka perlu dirancang suatu Sistem Pendukung Keputusan (SPK) dalam menentukan penerima bantuan sembako ini. Metode yang diterapkan dalam penelitian ini adalah metode PSI (Preference Selection Index). Metode PSI (Preference Selection Index) merupakan metode yang jarang dipakai dalam penerapan sistem pendukung keputusan, metode ini digunakan untuk memecahkan Multi Criteria Decision Making (MCDM). Adapun kriteria yang digunakan pada penelitian ini yaitu gaji kepala rumah tangga, tanggungan, luas lantai bangunan rumah, jenis lantai bangunan rumah. Hasil akhir dalam penggunaan metode ini berupa rangking keluarga penerima manfaat sebagai rekomendasi pengambilan keputusan untuk pemilihan penerima bantuan sembako dengan nilai total tertinggi sebesar 1237,492263 yang diperoleh atas nama RIANA.","PeriodicalId":259537,"journal":{"name":"JOINTECS (Journal of Information Technology and Computer Science)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130331020","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

Strategi Gamifikasi Sebagai Peningkatan Motivasi Kuliah Pemrograman Website Pada Masa Pandemi Covid19 在Covid19大流行期间，拟式化策略增加了网站编程课程的动力

JOINTECS (Journal of Information Technology and Computer Science) Pub Date : 2021-09-30 DOI: 10.31328/jointecs.v6i3.2459

Purwono Purwono, Endang Setyawati, Khoirun Nisa, A. Wulandari

{"title":"Strategi Gamifikasi Sebagai Peningkatan Motivasi Kuliah Pemrograman Website Pada Masa Pandemi Covid19","authors":"Purwono Purwono, Endang Setyawati, Khoirun Nisa, A. Wulandari","doi":"10.31328/jointecs.v6i3.2459","DOIUrl":"https://doi.org/10.31328/jointecs.v6i3.2459","url":null,"abstract":"Pandemi Covid-19 masih menjadi wabah yang membahayakan manusia sehingga menjadi tantangan khusus dan menuntut adanya perubahan pada berbagai bidang masyarakat. Pendidikan menjadi salah satu bidang yang terdampak oleh pandemi ini. Aktivitas belajar mengajar harus dilakukan secara daring yang mengakibatkan kualitas belajar mengajar menjadi tidak maksimal. Perkuliahan daring sudah dilakukan lebih dari satu tahun. Model kuliah ini ternyata telah menurunkan motivasi belajar mahasiswa karena dianggap menjenuhkan sehingga dibutuhkan inovasi pembelajaran dari para Dosen. Gamifikasi menjadi salah satu solusi yang sudah beberapa kali digunakan dan merupakan suatu teknik yang dapat membuat mahasiswa berperan aktif selama perkuliahan serta merasa menikmati setiap tugas perkuliahan yang diberikan. Kami melakukan perancangan dan implementasi gamifikasi untuk matakuliah pemrograman website dengan platform classcraft. Hasil penelitian menunjukan adanya kenaikan motivasi mahasiswa dalam perkuliahan. Hal ini dilihat dari beberapa indikator yaitu tepat waktu dalam masuk kuliah naik dengan persentase 16.67%, minat diskusi dengan dosen naik 40%, ketepatan pengumpulan tugas naik 39,39%, kemampuan menyelesaikan projek UTS naik 28,57% dan kemampuan menyelesaikan projek UAS naik sebesar 34,21%.","PeriodicalId":259537,"journal":{"name":"JOINTECS (Journal of Information Technology and Computer Science)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128821232","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

Pebandingan Performa Naïve Bayes dan KNN pada Klasifikasi Teks Sentimen Jasa Ekspedisi 将勇敢的贝斯和KNN在分类年鉴上的表现进行比较

JOINTECS (Journal of Information Technology and Computer Science) Pub Date : 2021-09-30 DOI: 10.31328/jointecs.v6i3.2635

Zuda Pradana Putra, Aryo Nugroho

引用次数: 2

Analisa Cluster Data Transaksi Penjualan Minimarket Selama Pandemi Covid-19 dengan Algoritma K-means

JOINTECS (Journal of Information Technology and Computer Science) Pub Date : 2021-09-30 DOI: 10.31328/jointecs.v6i3.2693

Iis Setyawan Mangku Negara, Purwono Purwono, Imam Ahmad Ashari

{"title":"Analisa Cluster Data Transaksi Penjualan Minimarket Selama Pandemi Covid-19 dengan Algoritma K-means","authors":"Iis Setyawan Mangku Negara, Purwono Purwono, Imam Ahmad Ashari","doi":"10.31328/jointecs.v6i3.2693","DOIUrl":"https://doi.org/10.31328/jointecs.v6i3.2693","url":null,"abstract":"Covid-19 has had a negative impact on the economic sector in Indonesia. This can be seen from the losses experienced by industry players in the form of a decrease in income turnover. Sales strategy needs to be done so that losses can be minimized. Sales transaction analysis can be done to find product groups with the most sales data so that stock management can be fulfilled and increase sales transactions. Berkah Abadi Minimarket is an industry that has been affected by this pandemic. Data analysis has not been carried out to find out which product has the most sales data, so it is necessary to analyze it with the k-means algorithm. This algorithm can group data based on similar characteristics. The application of the algorithm on 278480 transaction data, obtained three sales data clusters, namely cluster 2 or the highest sales of 57 products, cluster 1 or moderate sales of 57 products and the rest are cluster 0 with low sales. The result of the accuracy of the clustering model generated by the confusion matrix is 87%. Based on these results, the owners of the Berkah Abadi Minimarket can be helped in making decisions on stock management while the Covid-19 pandemic is still ongoing.","PeriodicalId":259537,"journal":{"name":"JOINTECS (Journal of Information Technology and Computer Science)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117183749","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

Forensik Mobile Pada Kasus Cyber Fraud Layanan Signal Messenger Menggunakan Metode NIST 流动法医在欺诈网络案件信使信号服务使用NIST方法

JOINTECS (Journal of Information Technology and Computer Science) Pub Date : 2021-09-30 DOI: 10.31328/jointecs.v6i3.2591

Imam Riadi, H. Herman, Nuraina ' Siregar

{"title":"Forensik Mobile Pada Kasus Cyber Fraud Layanan Signal Messenger Menggunakan Metode NIST","authors":"Imam Riadi, H. Herman, Nuraina ' Siregar","doi":"10.31328/jointecs.v6i3.2591","DOIUrl":"https://doi.org/10.31328/jointecs.v6i3.2591","url":null,"abstract":"The developments in the use of social media are currently experiencing a very rapid increase. One of the factors that increase the use of social media is the Covid-19 pandemic. All work activities are required and diverted to be done online. The use of social media has both positive and negative impacts. One of the negative impacts is the occurrence of crime. The purpose of this study was to obtain digital evidence in the form of text conversation data (chat), images, GIF, pdf document, video, voice call and video call by investigation with National Institute of Standard and Technology (NIST) method. The device used as the object of research is an android smartphone. The mobile forensic software used in this study is MOBILedit Forensic Express. Based on the results of forensic analysis, the performance of the MOBILedit Forensic tool is quite good because it can lift digital evidence in the form of 2 images, 1 GIF, 1 pdf document, and 1 video. The digital evidence obtained from this research had an overall success rate of 57,14%. This research got the result according to the expected goals even though not able to read chat, voice call and video call history.","PeriodicalId":259537,"journal":{"name":"JOINTECS (Journal of Information Technology and Computer Science)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114390342","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 Informasi Pelayanan Rawat Jalan Berbasis Web Menggunakan Teknologi Fingerprint Pengganti KIB 基于Web的临终关怀路服务系统使用改变KIB的指纹技术

JOINTECS (Journal of Information Technology and Computer Science) Pub Date : 2021-09-30 DOI: 10.31328/jointecs.v6i3.2250

Mochammad Choirur Roziqin, Chusnaini Nur Aprilyanti, Sustin Farlinda, Bachtiar Hadi Prakoso

{"title":"Sistem Informasi Pelayanan Rawat Jalan Berbasis Web Menggunakan Teknologi Fingerprint Pengganti KIB","authors":"Mochammad Choirur Roziqin, Chusnaini Nur Aprilyanti, Sustin Farlinda, Bachtiar Hadi Prakoso","doi":"10.31328/jointecs.v6i3.2250","DOIUrl":"https://doi.org/10.31328/jointecs.v6i3.2250","url":null,"abstract":"Public Health Center is defined as a health service facility which serves the efforts of public health and firstlevel individual health, emphasizing the promotive and preventive efforts. There are obstacles and problems encountered by the health sector in which they need to be coped with properly. The problems faced by Public Health Center on registrasion process, medical examination, the pharmacy until the manual-reporting and the patient who forgot to bring the medical index card (KIB). Therefore, an information system of the outpatient service by using fingerprint technology was needed to increase the time-efficienc and help the staff in identifying the old. The method used in this research was waterfall. Concerning the process of designing the system, Flowchart system, Context Diagram, Data Flow Diagram, Entity Relationship Diagram were used; in addition, Microsoft visual audio version 1.46 was performed in implementing the program. The result of this research revealed that there was an information system of outpatient service by using fingerprint technology as a substitute for a medical index card. The strength of an information system designed by the researcher utilized the fingerprint technology to identify the patient and officer's login in which it kept them from forgetting their username and password.","PeriodicalId":259537,"journal":{"name":"JOINTECS (Journal of Information Technology and Computer Science)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125342881","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