Jurnal Komtika (Komputasi dan Informatika)最新文献_第3页

Implementation of The Backpropagation Method and The Kohonen Network to Predict Blood Availability: Case Study in PMI Kota Magelang 反向传播方法和Kohonen网络预测血液可用性的实现:在PMI Kota Magelang的案例研究

Jurnal Komtika (Komputasi dan Informatika) Pub Date : 2022-11-30 DOI: 10.31603/komtika.v6i2.7158

Alif Kemal Verdito, N. A. Prabowo, Mukhtar Hanafi

{"title":"Implementation of The Backpropagation Method and The Kohonen Network to Predict Blood Availability: Case Study in PMI Kota Magelang","authors":"Alif Kemal Verdito, N. A. Prabowo, Mukhtar Hanafi","doi":"10.31603/komtika.v6i2.7158","DOIUrl":"https://doi.org/10.31603/komtika.v6i2.7158","url":null,"abstract":"The availability of blood stocks at the Indonesian Red Cross or Palang Merah Indonesia (PMI) is a must and absolute for institutions that organize the procurement and distribution of blood for medical purposes. The problem is that the blood stock in PMI Magelang City Branch is not ideally available in each blood type, especially blood type AB, which in recent years has been very minimal and difficult to obtain. The purpose of this study was to predict blood stock of type AB with software based on artificial neural networks backpropagation and Coherent tissues. Artificial Neural Network (JST) backpropagation is used to predict the stock supply of blood type AB. Meanwhile, Coherent is a network used to divide input patterns into groups. The application has a network structure consisting of 2 input neurons, 10 neurons in the hidden layer, and 1 and 1 neuron in the output layer. The total amount of data is 3 years (2015-2017), 2 years of data are used for training data, and 1 year of data is used for testing data. The engine predicts using a maximum iteration of 1,000 epochs, an expletive constant of 0.5, a momentum of 0.9, and a minimum error rate of 0.001. With variations in the value of the backpropagation component, a prediction of less than 140 bags per year is generated. Meanwhile, the resulting weight is predicted by the Coherent method and produces a prediction of the production of type AB blood stocks per month. Based on the results against 3 years of test data, the percentage of the system accuracy rate is 100%. The reduction of learning constants and the addition of training data systems may affect the accuracy of the system in making predictions.","PeriodicalId":292404,"journal":{"name":"Jurnal Komtika (Komputasi dan Informatika)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125843235","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

Perancangan Sistem Informasi Berbasis Website untuk Pariwisata Kota Jambi Jambi镇旅游网站信息系统设计

Jurnal Komtika (Komputasi dan Informatika) Pub Date : 2022-11-29 DOI: 10.31603/komtika.v6i2.7467

Mochammad Arief Hermawan Sutoyo, Niko Akbar, Bayu Putra Sanjaya

{"title":"Perancangan Sistem Informasi Berbasis Website untuk Pariwisata Kota Jambi","authors":"Mochammad Arief Hermawan Sutoyo, Niko Akbar, Bayu Putra Sanjaya","doi":"10.31603/komtika.v6i2.7467","DOIUrl":"https://doi.org/10.31603/komtika.v6i2.7467","url":null,"abstract":"Dengan makin meningkatnya penggunaan internet, maka peluang untuk memasarkan pariwisata Kota Jambi menggunakan sebuah website menjadi sebuah kesempatan yang harus dilakukan untuk meningkatkan pariwisata. Namun, website Dinas Pariwisata dan Kebudayaan Kota Jambi tidak memperbarui informasinya secara berkala dan informasi yang diberikan kurang mendetail, sehingga tidak banyak wisatawan yang mengetahui objek–objek wisata terkini di Kota Jambi. Untuk menyelesaikan permasalahan tersebut penulis mencoba memperbarui website yang ada dan menambahkan beberapa elemen layanan informasi. Metode yang digunakan pada perancangan website untuk penelitian ini adalah metode prototyping sedangkan untuk pengujian prototipe akan digunakan metode system usability scale untuk mengetahui seberapa baik prototipe yang penulis rancang. Berdasarkan dari hasil akhir perhitungan data, telah didapatkan bahwa pengujian usability menunjukkan angka 81,125 sehingga website dapat dikembangkan. Pada penelitian selanjutnya penulis akan mencoba mengembangkan penggunaan crowdsourcing warga Jambi dan wisatwan, untuk memberikan informasi terkait tempat wisata di Kota Jambi.","PeriodicalId":292404,"journal":{"name":"Jurnal Komtika (Komputasi dan Informatika)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127485792","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

Naïve Bayes untuk Klasifikasi Penyakit Daun Bawang Merah Berdasarkan Ekstraksi Fitur Gray Level Cooccurrence Matrix (GLCM)

Jurnal Komtika (Komputasi dan Informatika) Pub Date : 2022-11-29 DOI: 10.31603/komtika.v6i2.7925

Fari Katul Fikriah, M. Burhanis Sulthan, Nailatul Mujahidah, Moh. Khoirur Roziqin

{"title":"Naïve Bayes untuk Klasifikasi Penyakit Daun Bawang Merah Berdasarkan Ekstraksi Fitur Gray Level Cooccurrence Matrix (GLCM)","authors":"Fari Katul Fikriah, M. Burhanis Sulthan, Nailatul Mujahidah, Moh. Khoirur Roziqin","doi":"10.31603/komtika.v6i2.7925","DOIUrl":"https://doi.org/10.31603/komtika.v6i2.7925","url":null,"abstract":"Bawang merah merupakan salah satu produk pertanian yang menjadi bagian komoditas rempah-rempah yang biasa digunakan sebagai bahan masakan. Dalam pengelolaan bawang merah ini tentu terdapat beberapa kendala, pengamatan pada kondisi penanaman bawang merah bisa dilihat dari perubahan yang terjadi pada daunnya. Terdapat beberapa sebab yang menjadikan panen bawang merah menjadi menurun walaupun semakin banyak petani yang menanam bawang merah tersebut. Diantara penyebab gagalnya panen yang dialami petani bawang merah adalah adanya penyakit yang menyerang pada daunnya. Penyakit pada daun bawang merah juga beraneka macam serta memiliki beberapa gejala yang berbeda-beda. Klasifikasi pada penyakit daun bawang merah memberikan langkah untuk ketahananan tanaman yang berkelanjutan. Penyakit daun bawang merah harus diklasifikasikan berdasarkan jenisnya agar bisa mendapatkan penanganan yang tepat. Penelitian ini bertujuan untuk mengklasifikasikan penyakit daun bawang merah berdasarkan ekstraksi fitur Gray Level Co-occurrence Matrix (GLCM) yang didapat dari citra daun bawang merah dengan mengambil empat fitur yaitu energy, contrast, correlation serta homogeneity, sedangkan metode algoritma yang dipakai untuk klasifikasi penyakit daun bawang tersebut adalah Naïve Bayes dengan akurasi sebesar 62%.","PeriodicalId":292404,"journal":{"name":"Jurnal Komtika (Komputasi dan Informatika)","volume":"434 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132329232","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

Rancang Bangun Media Pembelajaran Berbasis Virtual Reality Dengan Pendekatan Metode Scrum 用Scrum方法设计基于虚拟现实学习媒体

Jurnal Komtika (Komputasi dan Informatika) Pub Date : 2022-11-29 DOI: 10.31603/komtika.v6i2.7927

Arfiandi Wijatmiko, Galang Prihadi Mahardhika

{"title":"Rancang Bangun Media Pembelajaran Berbasis Virtual Reality Dengan Pendekatan Metode Scrum","authors":"Arfiandi Wijatmiko, Galang Prihadi Mahardhika","doi":"10.31603/komtika.v6i2.7927","DOIUrl":"https://doi.org/10.31603/komtika.v6i2.7927","url":null,"abstract":"Learning media is a media that can be used by teachers to deliver learning materials to students. Learning media can be developed in the form of various activities, one of which is outbound activities. Outbound is a learning method carried out in the form of experiential learning through light game activities to hone intelligence and agility. In the digital world, outbound activities can be done with the help of Virtual Reality (VR) technology. VR is a computer technology that allows users to interact in a virtual world environment. With a few modifications, VR technology can be used to support play and learning activities. This research was conducted to develop a VR-based learning media called Edubound. The development of Edubound is carried out using the Scrum method. Based on the results obtained, the scrum method used in this study proved to be quite responsive and adaptive in handling user needs. On the other hand, the speed of developing Edubound learning media which is the main focus in this research can also be accommodated well by the Scrum method. In general, it can be concluded that the Scrum method can work well in the process of developing Edubound learning media.","PeriodicalId":292404,"journal":{"name":"Jurnal Komtika (Komputasi dan Informatika)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131293818","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

Penerapan Algoritma GLCM dan KNN dalam Pengenalan Jenis Jerawat

Jurnal Komtika (Komputasi dan Informatika) Pub Date : 2022-11-28 DOI: 10.31603/komtika.v6i2.8078

Yunita Fauzia Achmad, Alivia Yulfitri, Putri Maharani

引用次数: 1

Analisis Sentimen Mengenai Gangguan Bipolar Pada Twitter Menggunakan Algoritma Naïve Bayes

Jurnal Komtika (Komputasi dan Informatika) Pub Date : 2022-11-28 DOI: 10.31603/komtika.v6i2.8198

Oriza Sativa Dinauni Silaen, Herlawati Herlawati, Rasim Rasim

{"title":"Analisis Sentimen Mengenai Gangguan Bipolar Pada Twitter Menggunakan Algoritma Naïve Bayes","authors":"Oriza Sativa Dinauni Silaen, Herlawati Herlawati, Rasim Rasim","doi":"10.31603/komtika.v6i2.8198","DOIUrl":"https://doi.org/10.31603/komtika.v6i2.8198","url":null,"abstract":"Bipolar disorder is one of the world's most common mental health disorders. To find out public sentiment regarding bipolar disorder, sentiment analysis is carried out through social media to analyze positive or negative sentiments with the aim of maintaining positive sentiment towards the problem of bipolar disorder. Twitter is a social media that is often used to exchange information, discuss, and even express emotions. The emotions of Twitter users can be called sentiment. Sentiment analysis is also carried out to see opinions or tendencies towards an opinion. Opinion tendencies can be in the form of positive or negative sentiments. The data used in this study uses the bipolar keyword. There are 2177 tweets data that were successfully obtained in the crawling process using API key access from Twitter developers, after which the data will be processed using preprocessing. The comparison of the presentations obtained is 70.92% expressing a negative opinion and 29.08% expressing a favorable opinion. The analysis results in this study using the nave Bayes algorithm is with an accuracy value of 92.110092%.","PeriodicalId":292404,"journal":{"name":"Jurnal Komtika (Komputasi dan Informatika)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117026678","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

Model Inspeksi Keamanan Jaringan Nirkabel Dengan Teknik Wardrving Berbasis ChatBot 基于ChatBot的wardrling技术的无线网络安全检查模型

Jurnal Komtika (Komputasi dan Informatika) Pub Date : 2022-11-28 DOI: 10.31603/komtika.v6i2.7943

Mei Purweni, Dedy Hariyadi, Faulinda Ely Nastiti, Fazlurrahman Fazlurrahman

引用次数: 1

Implementasi Algoritma Convolutional Neural Network (CNN) Untuk Klasifikasi Daun Dengan Metode Data Mining SEMMA Menggunakan Keras 使用硬数据挖掘方法对叶子进行分类的神经连接算法(CNN)的实现

Jurnal Komtika (Komputasi dan Informatika) Pub Date : 2022-11-28 DOI: 10.31603/komtika.v6i2.8054

Yosia Amado Suwitono, F. Kaunang

{"title":"Implementasi Algoritma Convolutional Neural Network (CNN) Untuk Klasifikasi Daun Dengan Metode Data Mining SEMMA Menggunakan Keras","authors":"Yosia Amado Suwitono, F. Kaunang","doi":"10.31603/komtika.v6i2.8054","DOIUrl":"https://doi.org/10.31603/komtika.v6i2.8054","url":null,"abstract":"Tumbuhan memiliki variasi dan ciri khasnya masing-masing. Ada tiga bagian utama dalam tumbuhan yaitu daun, akar dan batang. Sebagian besar tanaman memiliki daun yang sangat banyak sehingga mudah untuk didapatkan untuk membedakan tanaman satu dengan lainnya. Namun orang pada umumnya tidak dapat mengidentifikasi tanaman menggunakan daun karena terbatasnya kemampuan otak manusia. Klasifikasi adalah salah satu teknik yang dapat digunakan untuk dapat membedakan antar sebuah objek. Klasifikasi harus menggunakan metode yang tepat agar tercapai hasil akurasi yang maksimal. Dengan algoritma Convolutional Neural Network (CNN) adalah neural network yang banyak digunakan untuk mengklasifikasikan citra gambar. Didukung dengan metode Data Mining SEMMA juga memaksimalkan tahapan dalam membuat sebuah model. Dengan model yang tepat dan menggunakan mekanisme yang tepat akan memperoleh hasil yang maksimal. Dari keempat model yang dibangun menggunakan epoch dan batch size yang berbeda didapatkan hasil accuracy yang bervariasi. Dari penelitian ini menunjukkan hasil tertinggi model yang dibangun dengan mekanisme epoch sebanyak 100 dan batch size sebanyak 30 didapatkan total accuracy sebesar 98% dan loss sebanyak 0,0537. Dari analisis ke empat model yang dibangun ditarik sebuah kesimpulan bahwa epoch dan batch size mempengaruhi besar kecilnya accuracy sebuah model. Dibuktikan juga bahwa metode Data Mining SEMMA dapat mempermudah peneliti dalam proses pembuatan sebuah model yang terstruktur.","PeriodicalId":292404,"journal":{"name":"Jurnal Komtika (Komputasi dan Informatika)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130504595","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

Model Konseptual E-Da'wah Muhammadiyah Berbasis Web 基于Web的概念模型E-Da 'wah穆罕默德

Jurnal Komtika (Komputasi dan Informatika) Pub Date : 2022-08-01 DOI: 10.31603/komtika.v6i1.7093

N. A. Prabowo, R. Widyanto, B. Pujiarto, Mukhtar Hanafi, A. Widiyanto, M. Avizenna

{"title":"Model Konseptual E-Da'wah Muhammadiyah Berbasis Web","authors":"N. A. Prabowo, R. Widyanto, B. Pujiarto, Mukhtar Hanafi, A. Widiyanto, M. Avizenna","doi":"10.31603/komtika.v6i1.7093","DOIUrl":"https://doi.org/10.31603/komtika.v6i1.7093","url":null,"abstract":"The development of information and communication technology has been proactively addressed by Muhammadiyah. Muhammadiyah has modernized da'wah methods by utilizing ICT technology in every activity, but it is still limited to media commonly used by the public such as social media, the web on the Internet, and so on, so that it is still limited, partial, and has not been systematic and structured ally serves its people and is constrained in monitoring and evaluation. The use of web based systems can be a solution to develop locations or e-da'wah based on geography while answering problems in the management and branch of the Muhammadiyah region in monitoring and evaluating its activities. The research method used is to use quantitative methods to obtain primary data to find out the user's desire for e-da'wah in Muhammadiyah citizens while the observation method and survey questionnaire are used to evaluate the acceptance of Muhammadiyah member users to the use of e-da'wah applications that have been made. This research aims to design a framework for the concept of web-based e-da'wah applications. As a result, the e-da'wah application model developed on a web-based basis has received responses from 57% of respondents who find it easy to understand the studies presented in this e-da'wah media.","PeriodicalId":292404,"journal":{"name":"Jurnal Komtika (Komputasi dan Informatika)","volume":"577 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127068989","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 Titik Kebakaran Lahan Menggunakan Wireless Sensor Network 使用无线传感器网络探测地面火灾点

Jurnal Komtika (Komputasi dan Informatika) Pub Date : 2022-08-01 DOI: 10.31603/komtika.v6i1.6264

K. Kamarudin, M. Z. Elfirman, Ihdalhubbi Maulida, F. Marleny, Rudy Ansari, Maman Fatahulrahman

引用次数: 0