Digital Zone Jurnal Teknologi Informasi dan Komunikasi最新文献_第3页

Sistem informasi marketplace produk usaha mikro kecil menengah (umkm)

Digital Zone Jurnal Teknologi Informasi dan Komunikasi Pub Date : 2022-09-01 DOI: 10.32502/digital.v5i2.4986

Silfia Ardilla, Novri Hadinata

{"title":"Sistem informasi marketplace produk usaha mikro kecil menengah (umkm)","authors":"Silfia Ardilla, Novri Hadinata","doi":"10.32502/digital.v5i2.4986","DOIUrl":"https://doi.org/10.32502/digital.v5i2.4986","url":null,"abstract":"Universitas bina darma merupakan salah satu perguruan tinggi swasta yang memiliki program untuk mendorong mahasiswa berwirausaha untuk menghasihkan produk baru. Namun dalam memasarkan produk UMKM masi dengan cara konvensional yaitu dengan menawarkan produk hanya sebatas pembeli hanya bisa dijangkau secara offline dan melalui media seperti Instagram atau Whatsapp. Sedangkan untuk menjual produk, biasanya mahasiswa dapat mendirikan stand atau menjual produknya saat diadakan suatu kegiatan/bazzar. Dari permasalaham tersebut, Maka dibangunlah Sistem Informasi Marketplace untuk dapat membantu mahasiswa dalam memasarkan produk UMKM secara online dan cepat. Sistem Informasi Marketplace ini tidak hanya untuk kalangan mahasiswa saja, melainkan untuk semua pelaku usaha yang memiliki bisnis UMKM dapat mendaftarkan diri di website Marketplace, sehingga jangkauan pasar menjadi meningkat dan pengguna menjadi lebih luas. Pada penelitian ini digunakan platform CMS Wordpress untuk membangun sebuah website Marketplace. Penelitian ini menggunakan metode Rapid Application Development (RAD) guna mempermudah serta dapat mempercepat proses pengembangan website Marketplace.","PeriodicalId":33266,"journal":{"name":"Digital Zone Jurnal Teknologi Informasi dan Komunikasi","volume":"116 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82484904","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

Perancangan sistem pemantau untuk pengairan waduk dan irigasi berdasarkan tingkat kelembaban berbasis wireless sensor network 基于无线传感器的湿度水平进行灌溉

Digital Zone Jurnal Teknologi Informasi dan Komunikasi Pub Date : 2022-09-01 DOI: 10.32502/digital.v5i2.4779

Emilia Hesti, S. a, Siswandi C

{"title":"Perancangan sistem pemantau untuk pengairan waduk dan irigasi berdasarkan tingkat kelembaban berbasis wireless sensor network","authors":"Emilia Hesti, S. a, Siswandi C","doi":"10.32502/digital.v5i2.4779","DOIUrl":"https://doi.org/10.32502/digital.v5i2.4779","url":null,"abstract":"Kebanyakkan peduduk Indonesia yang dalam kesehariannya banyak mengkonsumsi satu kebutuhan pokok yaitu nasi. Oleh sebab itu beras merupakan suatu kebutuhan pokok yang penting untuk menghasilkan beras yang baik untuk diproses menjadi nasi yang enak dan pulen. Sawah yang dapat menghasilkan beras berkualitas baik adalah berasal dari sawah yang dirawat dengan baik juga. Pengairan Waduk dan Irigasi Sawah akan menjadi lebih efisien jika dilakukan dengan bantuan alat yang dapat bekerja secara otomatis. Alat Pengairan Waduk dan Irigasi ini dilengkapi dengan Humidity Sensor yang mampu mendeteksi keadaan sawah dengan tiga indikator, yaitu kering lembab dan basah, sehingga pengairan sawah lebih efisien. Kedua, alat ini dilengkapi oleh sensor flow sehingga alat ini dapat menghitung berapa banyak air yang melewati sensor tersebut dalam pengairan sawah, sehingga apabila jumlah air yang diperlukan untuk pengairan sawah sudah cukup maka otomatis air akan berhenti mengalir. Prinsip Kerja Alat yang dirancang ini merupakan sistem pengairan waduk dan irigasi berbasis wireless sensor network. Tiap sensor sumber pada WSN akan mengumpulkan data dari area yang dipantau, selanjutnya mengirimkan sinyal ke base station. Perancangan alat ini menggunakan mikrokontroler Arduino Mega2560 sebagai prosesor alat. Tegangan yang dikirim ke prosesor tadi memerintahkan mikrokontroler Arduino Mega2560 sebagai kendali dari alat tersebut. Sensor kelembaban (Humidity Sensor) alat ini akan mendeteksi tiga keadaan sawah apakah sawah dalam keadaan kering, lembab dan basah. Saat nilai kelembaban tanah sawah < 250 Rh (%) maka sawah dalam kondisi kering, saaat sawah > 250-500 Rh (%) sawah dalam keadaan lembab dan pada saat sawah > 500 Rh (%) sawah dalam keadaan basah. Ketiga kondisi tersebut akan tampil pada LCD dan akan akan dikirim data ke internet kemudian akan tampil grafik nilainya. Wireless Sensor Network digunakan untuk mengatur sistem kontrol dari penggunaan water flow sensor, modul SIM900 dari sisi Tx dan Rx.","PeriodicalId":33266,"journal":{"name":"Digital Zone Jurnal Teknologi Informasi dan Komunikasi","volume":"39 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81352420","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

LSTM (Long Short Term Memory) for Sentiment COVID-19 Vaccine Classification on Twitter LSTM(长短期记忆)在推特上的情绪COVID-19疫苗分类

Digital Zone Jurnal Teknologi Informasi dan Komunikasi Pub Date : 2022-05-31 DOI: 10.31849/digitalzone.v13i1.9950

M. Ihsan, Benny Sukma Negara, Surya Agustian

{"title":"LSTM (Long Short Term Memory) for Sentiment COVID-19 Vaccine Classification on Twitter","authors":"M. Ihsan, Benny Sukma Negara, Surya Agustian","doi":"10.31849/digitalzone.v13i1.9950","DOIUrl":"https://doi.org/10.31849/digitalzone.v13i1.9950","url":null,"abstract":" The implementation of the Covid-19 vaccination carried out by Indonesian government was ignited pros and contras among the public. Certainly, there will be pros and cons about the vaccination from the community. This attituded of pros and cons, which is also called sentiment, can influence people to accept or refuse to be vaccinated. Todays, people express their sentiment in social media in comments, post, or status. One of the methods used to detect sentiment on social media, whether positive or negative, is through a categorisation of text approach. This research provides a deep learning technique for sentiment classification on Twitter that uses Long Short Term Memory (LSTM), for positive, neutral and negative classes. The word2vec word embeddings was used as input, using the pretrained Bahasa Indonesia model from Wikipedia corpus. On the other hand, the topic-based word2vec model was also trained from the Covid-19 vaccination sentiment dataset which collected from Twitter. The data used after balanced is 2564 training data, 778 data validation data, and 400 test data with 1802 neutral data, 1066 negative data, and 566 positive data. The best results from various parameter processes give an F1-Score value of 54% on the test data, with an accuracy of 66%. The result of this research is a model that can classify sentiments with new sentences.","PeriodicalId":33266,"journal":{"name":"Digital Zone Jurnal Teknologi Informasi dan Komunikasi","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82779053","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

Implementation of Naïve Bayes for Classification of Learning Types 实现Naïve贝叶斯学习类型分类

Digital Zone Jurnal Teknologi Informasi dan Komunikasi Pub Date : 2022-05-31 DOI: 10.31849/digitalzone.v13i1.9825

Lisnawita Lisnawita, G. Guntoro, Musfawati Musfawati

引用次数: 0

Web Based Application Wet Cake Snack Product Distribution Using Concept Business To Business To Consumer 基于Web的应用湿饼零食产品分销使用概念企业对企业对消费者

Digital Zone Jurnal Teknologi Informasi dan Komunikasi Pub Date : 2022-05-31 DOI: 10.31849/digitalzone.v13i1.9793

M. Mansur, Dinda Nurul Mawardah

引用次数: 0

The Implementation of Simple Additive Weighting Method in deciding Apprentice Assistant 简单加性加权法在徒弟决定中的应用

Digital Zone Jurnal Teknologi Informasi dan Komunikasi Pub Date : 2022-05-31 DOI: 10.31849/digitalzone.v13i1.9880

Hamid Muhammad Jumasa, Wahju Tjahjo Saputro

引用次数: 2

Quality Classification of Palm Oil Varieties Using Naive Bayes Classifier 基于朴素贝叶斯分类器的棕榈油品种质量分类

Digital Zone Jurnal Teknologi Informasi dan Komunikasi Pub Date : 2022-05-27 DOI: 10.31849/digitalzone.v13i1.9773

N. Puspitasari, Rosmasari Rosmasari, Fhanji Wilis Pratama, H. Sulastri

引用次数: 0

Application of Gaussian Filter and Histogram Equalization for Repair x-ray Image 高斯滤波和直方图均衡化在x射线图像修复中的应用

Digital Zone Jurnal Teknologi Informasi dan Komunikasi Pub Date : 2022-05-27 DOI: 10.31849/digitalzone.v13i1.9770

D. Mulyana, Tedy Rismawan, Cucu Suhery

{"title":"Application of Gaussian Filter and Histogram Equalization for Repair x-ray Image","authors":"D. Mulyana, Tedy Rismawan, Cucu Suhery","doi":"10.31849/digitalzone.v13i1.9770","DOIUrl":"https://doi.org/10.31849/digitalzone.v13i1.9770","url":null,"abstract":"The X-ray image is a medical examination procedure that uses electromagnetic wave radiation to get a picture of the inside of the body. However, in the process, there is noise that appears due to the exposure factor. This research builds a system to improve the X-ray image with noise by using Gaussian Filter and Histogram Equalization. In this study, in order to see the optimization of image enhancement, the two methods were combined. The data used are 60 x-ray images that have noise and each has an original image without noise as a comparison image to get system accuracy using PSNR and SSIM. Gaussian Filter method is used to reduce noise by determining the size of the kernel matrix and the standard deviation used. Histogram Equalization method is used to even out the value of the gray level of the image. Based on the test results from the combination of the two methods, the larger the size of the kernel matrix used, the faster the duration of time needed to repair the image. The PSNR value and accuracy obtained in the X-ray image repair are 31 dB and 71% on a 3x3 kernel matrix with an average time duration of 9 seconds, 32 dB and 77% on a 5x5 kernel matrix with an average duration of 9 seconds, 32 dB and 78% on a 7x7 kernel matrix with an average time duration of 8 seconds","PeriodicalId":33266,"journal":{"name":"Digital Zone Jurnal Teknologi Informasi dan Komunikasi","volume":"138 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88790794","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

Comparison of K-Means and K-Medoids Algorithms in Text Mining based on Davies Bouldin Index Testing for Classification of Student’s Thesis 基于Davies Bouldin索引检验的文本挖掘K-Means和K-Medoids算法在学生论文分类中的比较

Digital Zone Jurnal Teknologi Informasi dan Komunikasi Pub Date : 2022-05-27 DOI: 10.31849/digitalzone.v13i1.9292

Siti Ramadhani, Dini Azzahra, Tomi Z

{"title":"Comparison of K-Means and K-Medoids Algorithms in Text Mining based on Davies Bouldin Index Testing for Classification of Student’s Thesis","authors":"Siti Ramadhani, Dini Azzahra, Tomi Z","doi":"10.31849/digitalzone.v13i1.9292","DOIUrl":"https://doi.org/10.31849/digitalzone.v13i1.9292","url":null,"abstract":"The thesis is one of the scientific works based on the conclusions of field research or observations compiled and developed by students as well as research carried out according to the topic containing the study program which is carried out as a final project compiled in the last stage of formal study. A large number of theses, of course, will be sought in looking for categories of thesis topics, or the titles raised have different relevance. However, the student thesis can be by topics that are almost relevant to other topics so that it can make it easier to find topics that are relevant to the group. One of the uses of techniques in machine learning is to find text processing (Text Mining). In-text mining, there is a method that can be used, namely the Clustering method. Clustering processing techniques can group objects into the number of clusters formed. In addition, there are several methods used in clustering processing. This study aims to compare 2 cluster algorithms, namely the K-Means and K-Medoids algorithms to obtain an appropriate evaluation in the case of thesis grouping so that the relevant topics in the formed groups have better accuracy. The evaluation stage used is the Davies Bouldin Index (DBI) evaluation which is one of the testing techniques on the cluster. In addition, another indicator for comparison is the computation time of the two algorithms. According to the DBI value test carried out on algorithm 2, the K-Medoids algorithm is superior to K-Means, where the average DBI value produced by K-Medoids is 1,56 while K-Means is 2,79. In addition, the computational time required in classifying documents is also a reference. In testing the computational time required to group 50 documents, K-Means is superior to K-Medoids. K-Means has an average computation time for grouping documents, which is 1 second, while K-Medoids provide a computation time of 26,7778 seconds.","PeriodicalId":33266,"journal":{"name":"Digital Zone Jurnal Teknologi Informasi dan Komunikasi","volume":"58 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72468977","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

Spatial Mapping of Landslide Susceptibility Level in Pacitan District Using Analytical Hierarchy Process and Natural Break 基于层次分析法和自然断裂的太平洋地区滑坡易发等级空间制图

Digital Zone Jurnal Teknologi Informasi dan Komunikasi Pub Date : 2022-04-25 DOI: 10.31849/digitalzone.v13i1.8619

A. Fariza, A. Basofi, Silfiana Nur Hamida

{"title":"Spatial Mapping of Landslide Susceptibility Level in Pacitan District Using Analytical Hierarchy Process and Natural Break","authors":"A. Fariza, A. Basofi, Silfiana Nur Hamida","doi":"10.31849/digitalzone.v13i1.8619","DOIUrl":"https://doi.org/10.31849/digitalzone.v13i1.8619","url":null,"abstract":"Pacitan district has a high potential for landslides. Landslide is a hydrometeorological disaster that causes loss of life, property loss, and environmental damage. Disaster preparedness is very necessary for the wider community in dealing with landslide emergency response situations. Applications to determine the level of vulnerability to landslides are very useful to minimize the impact and losses on the Pacitan community. This study aims to make an application for assessing the level of landslide susceptibility using the analytical hierarchy process and natural break based on the factors that cause landslides in the sub-district or village of Pacitan district. The factors that cause landslides in Pacitan district consist of weather, history of landslides, land slope, and history of earthquakes. The results of the AHP and natural break classifications are visualized in the form of a spatial map into 3 categories, namely high, medium and low vulnerability levels. The results of the AHP classification and natural break in the 2016-2020 data have a good average GVF value of 0.77. This shows that in general, the results of the 2016-2020 data classification are correct. Mobile device-based applications provide convenience for the public in accessing information as an effort to improve landslide disaster preparedness.","PeriodicalId":33266,"journal":{"name":"Digital Zone Jurnal Teknologi Informasi dan Komunikasi","volume":"18 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72584622","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