Proxies Jurnal Informatika最新文献

{"title":"Penerapan Metode K-Means Clustering untuk Pemetaan Pengelompokan Lahan Produksi Tandan Buah Segar","authors":"Abdussalam Al Masykur, S. Gusti, Suwanto Sanjaya, Febi Yanto, Fadhilah Syafria","doi":"10.31294/inf.v10i1.15621","DOIUrl":"https://doi.org/10.31294/inf.v10i1.15621","url":null,"abstract":"","PeriodicalId":32029,"journal":{"name":"Proxies Jurnal Informatika","volume":"36 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84839478","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}

{"title":"Sistem Pakar Diagnosa Penyakit Kulit Kucing Dengan Metode Dempster Shafer","authors":"Khusnul Arifin, Anti Nada Nafisa, Erika Nia Devina Br Purba, Nurul Adawiyah Putri, Kana Saputra S, Debi Yandra Niska","doi":"10.31294/inf.v10i1.14488","DOIUrl":"https://doi.org/10.31294/inf.v10i1.14488","url":null,"abstract":"Cats are one of the most popular animals in the community. Skin diseases in cats often make their owners feel confused and constrained in diagnosing skin diseases in cats that are kept. Need more care to maintain cat skin health and the need for understanding for cat owners to know how to handle when a cat has a skin disease. With the existence of an expert system, it can be known what skin disease is being experienced by the cat and can provide solutions. The dempster shafer method has the ability to provide a high level of accuracy, where this method is able to think like an expert","PeriodicalId":32029,"journal":{"name":"Proxies Jurnal Informatika","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74365827","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}

{"title":"Implementasi Algoritma CNN Untuk Pemilahan Jenis Sampah Berbasis Android Dengan Metode CRISP-DM","authors":"Sita Alden, Betha Nurina Sari","doi":"10.31294/inf.v10i1.14985","DOIUrl":"https://doi.org/10.31294/inf.v10i1.14985","url":null,"abstract":"Garbage is a global problem, especially in developing countries. People often don't sort the waste properly, causing contaminated waste that can't be recycled. An Android-based application using Convolutional Neural Network (CNN) algorithm can help people sort waste correctly. The application receives input in the form of waste photos taken by users and classifies the waste types using CNN algorithm. The results are displayed to the user with accurate information to dispose of waste into the right trash can. The testing using Transfer Learning CNN with Mobile Net architecture on 5,428 waste datasets resulted in 97.95% precision and 95.18% recall. Using tensorflow Lite library on Android, banana peel waste can be detected with 96% accuracy as organic waste and cardboard waste can be detected with 99% accuracy as inorganic waste","PeriodicalId":32029,"journal":{"name":"Proxies Jurnal Informatika","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87648024","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}

{"title":"Prediksi Kinerja Siswa Pada E-Learning Moodle Platform Menggunakan Algoritma Adaptive Boosting","authors":"Jordy Lasmana Putra, Agus Subekti","doi":"10.31294/inf.v10i1.15525","DOIUrl":"https://doi.org/10.31294/inf.v10i1.15525","url":null,"abstract":"","PeriodicalId":32029,"journal":{"name":"Proxies Jurnal Informatika","volume":"24 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75219984","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}

{"title":"Avoiding Machine Learning Becoming Pseudoscience in Biomedical Research","authors":"Meredita Susanty, Ira Puspasari, Nilam Fitriah, D. Mahayana, Tati Erawati Rajab, H. Zakaria, Agung Wahyu Setiawan, R. Hertadi","doi":"10.31294/inf.v10i1.12787","DOIUrl":"https://doi.org/10.31294/inf.v10i1.12787","url":null,"abstract":"The use of machine learning harbours the promise of more accurate, unbiased future predictions than human beings on their own can ever be capable of. However, because existing data sets are always utilized, these calculations are extrapolations of the past and serve to reproduce prejudices embedded in the data. In turn, machine learning prediction result raises ethical and moral dilemmas. As mirrors of society, algorithms show the status quo, reinforce errors, and are subject to targeted influences – for good and the bad. This phenomenon makes machine learning viewed as pseudoscience. Besides the limitations, injustices, and oracle-like nature of these technologies, there are also questions about the nature of the opportunities and possibilities they offer. This article aims to discuss whether machine learning in biomedical research falls into pseudoscience based on Popper and Kuhn's perspective and four theories of truth using three study cases. The discussion result explains several conditions that must be fulfilled so that machine learning in biomedical does not fall into pseudoscience","PeriodicalId":32029,"journal":{"name":"Proxies Jurnal Informatika","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82168501","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}

{"title":"Implementasi Algoritma You Only Look Once (YOLO) Untuk Object Detection Sarang Orang Utan Di Taman Nasional Sebangau","authors":"I. M. D. Maleh, Rony Teguh, A. S. Sahay, Simon Okta, Muhammad Porkab Pratama","doi":"10.31294/inf.v10i1.13922","DOIUrl":"https://doi.org/10.31294/inf.v10i1.13922","url":null,"abstract":"","PeriodicalId":32029,"journal":{"name":"Proxies Jurnal Informatika","volume":"19 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81270574","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}

{"title":"Implementasi Algoritma Levenshtein Distance Untuk Misspelled Word Pada Pencarian Lagu Melayu","authors":"Marcel Rino Batisya, Klaudius Jevanda BS","doi":"10.31294/inf.v10i1.15208","DOIUrl":"https://doi.org/10.31294/inf.v10i1.15208","url":null,"abstract":"Saat ini, banyak orang tidak bisa hidup tanpa musik. Musik merupakan bagian yang sangat berguna bagi kehidupan manusia untuk bersantai, menghilangkan stres, ataupun mengubah suasana hati. Musik sangat mudah ditemukan di banyak website saat ini. Namun orang-orang yang menyukai musik terkadang lupa atau salah paham dengan judul lagu yang sering didengarkan dan dinyanyikan khususnya lagu melayu di berbagai website. Sehingga membuat kesulitan untuk mencari judul lagu melayu yang diinginkan, dikarena website tidak dapat menginformasikan ejaan kata yang dimaksud sesuai dengan arti judul lagu. Maka dari itu, penulis membuat aplikasi pencarian lagu melayu terkhusus karya Arif Putra berbasis website dengan menggunakan algoritma Levenshtein Distance. Algoritma ini digunakan untuk memperbaiki kesalahan ejaan judul lagu, baik karena kecepatan mengetik ataupun typo dari user. Levenshtein Distance menghitung jumlah minimum dari operasi perubahan paling sedikit yang diperlukan untuk mengubah satu string menjadi string lainnya. Operasi perubahan tersebut adalah penyisipan, penghapusan, dan pertukaran. Hasil penelitian menunjukkan penerapan algoritma Levenshtein Distance dapat memperbaiki pencarian judul lagu yang memiliki kesalahan ejaan kata. Sedangkan dari hasil responden berjumlah 85 orang menyatakan 23,53% sangat setuju dan 60% setuju bahwa algoritma Levenshtein Distance yang diterapkan dapat meminimalisir kesalahan ejaan pada pencarian lagu melayu karya Arif Putra.Today, many people cannot live without music. Music is a very useful part of human life to relax, relieve stress, or change mood. Music is very easy to find on many websites today. However, people who like music sometimes forget or misunderstand the title of the song that is often heard and sung, especially Malay songs, on various websites. So that makes it difficult to find the desired Malay song title, because the website cannot inform the spelling of the word in question according to the meaning of the song title. Therefore, the author created a web-based search application for Malay songs, especially Arif Putra's works, using the Levenshtein Distance algorithm. This algorithm is used to correct spelling mistakes in song titles, either due to typing speed or typos from users. Levenshtein Distance calculates the minimum number of change operations required to convert one string into another. The change operations are insert, delete, and exchange. The results showed that the application of the Levenshtein Distance algorithm can improve the search for song titles that have spelling errors. Meanwhile, from the results of the respondents, there were 85 people who stated that 23.53% strongly agreed and 60% agreed that the Levenshtein Distance algorithm applied could minimize spelling errors in searching Malay songs by Arif Putra.","PeriodicalId":32029,"journal":{"name":"Proxies Jurnal Informatika","volume":"44 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76153546","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}

{"title":"Sentiment Analysis Terhadap Perspektif Warganet Atas Tragedi Kanjuruhan Malang di Twitter Menggunakan Naïve Bayes Classifier","authors":"Minardi Minardi, Ranita Lasepa, Santoso Riyadi, Syahru Ramadhan, D. Saputra","doi":"10.31294/inf.v10i1.14546","DOIUrl":"https://doi.org/10.31294/inf.v10i1.14546","url":null,"abstract":"","PeriodicalId":32029,"journal":{"name":"Proxies Jurnal Informatika","volume":"283 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72435683","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}

{"title":"Sistem Pendukung Keputusan Pengamatan Keselamatan Kerja Digital","authors":"Megandi Megandi, Meredita Susanty","doi":"10.31294/inf.v10i1.12778","DOIUrl":"https://doi.org/10.31294/inf.v10i1.12778","url":null,"abstract":"","PeriodicalId":32029,"journal":{"name":"Proxies Jurnal Informatika","volume":"37 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86829346","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}

{"title":"Analisis Data Mining Menggunakan Metode Algoritma C4.5 Menentukan Penerima Bantuan Langsung Tunai","authors":"Lukman Bachtiar, Mahradianur Mahradianur","doi":"10.31294/inf.v10i1.15115","DOIUrl":"https://doi.org/10.31294/inf.v10i1.15115","url":null,"abstract":"","PeriodicalId":32029,"journal":{"name":"Proxies Jurnal Informatika","volume":"31 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87818935","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}