Explore: Jurnal Sistem Informasi dan Telematika最新文献

{"title":"Analisis Deteksi Tepi untuk Mengidentifikasi Jenis Mobil","authors":"Sadion Tumpal Damanik, Ade Setiawan, Todo Simanjuntak, Asrifah Tumanggor, Fanny Ramadhani","doi":"10.36448/jsit.v14i1.3082","DOIUrl":"https://doi.org/10.36448/jsit.v14i1.3082","url":null,"abstract":"-This study discusses pattern recognition using the Sobel and Canny edge detection methods. The main focus of this research is on object edge detection in images, which is important in extracting features and performing image segmentation. Sobel and Canny's edge detection method proved to be effective in pattern recognition previously. This study involved data collection using the Sobel method, training and testing of pattern recognition models, as well as experiments to determine the optimal ratio of training data and test data. The experimental results show that the Sobel edge detection method with Euclidean distance and optimal k value provides high accuracy in pattern recognition. However, it is also important to consider using the Canny edge detection method as an alternative. This research contributes to the development of pattern recognition methods that can be applied in the recognition of various and growing types of cars","PeriodicalId":174230,"journal":{"name":"Explore: Jurnal Sistem Informasi dan Telematika","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128195005","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 Pemilihan Suplier Menggunakan Metode Topsis (Studi Kasus : Toko Keripik Rona Jaya Bandar Lampung)","authors":"Rosyana Fitria Purnomo, Yodhi Yuniarthe","doi":"10.36448/jsit.v14i1.3115","DOIUrl":"https://doi.org/10.36448/jsit.v14i1.3115","url":null,"abstract":"-Decision Support Systems include components of computer-based information systems that are used to help express opinions in unstructured and semi-structured situations when no one knows for sure how decisions need to be made. The problem that occurs in this study is that many home industries work together With Rona Jaya chips, they produce chip products with various variants, making it difficult for Rona Jaya chips to determine the selection of suppliers according to market demand. The purpose of this research is to speed up the decision-making process in selecting quality chip suppliers and to produce accurate information to support decision making. One type of decision making method is TOPSIS. The method applied in this study is a Decision Support System that uses the TOPSIS method in selecting supplier chips for Rona Jaya Lampung cassava chips. The assessment criteria used are flavor variants, expiration, product weight, and price. This information system is built on a desktop basis with a database management system using SQL. From the results of the 4 sample trials, the best score was 0.61, where the assessment was between 0-1, where the maximum value was 1. The results of this study were in the form of an application that can help understand the selection of suppliers of chip products that are more in demand in the market.","PeriodicalId":174230,"journal":{"name":"Explore: Jurnal Sistem Informasi dan Telematika","volume":"189 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117328430","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":"Evaluasi Kualitas Learning Management System berdasarkan ISO 25010 pada SMK Muhammadiyah 1 Palembang","authors":"Amrullah Fiqri, Arif Alfarisy, Tata Sutabri","doi":"10.36448/jsit.v14i1.3116","DOIUrl":"https://doi.org/10.36448/jsit.v14i1.3116","url":null,"abstract":"-Learning Management System (LMS) has become an essential tool in modern education. Evaluating the quality of LMS is a critical aspect to ensure effectiveness and efficiency in supporting the learning process. In this study, we discuss the evaluation of LMS using the ISO 25010 standard. ISO 25010 is an international standard that describes the software and system quality model. It provides a framework for identifying and measuring software quality based on a set of attributes. In the context of LMS evaluation, ISO 25010 can be used as a guideline to assess system quality. The main objective of this study is to evaluate the quality of the Learning Management System (LMS) using the ISO 25010 standard. The researchers evaluated the LMS used by SMK Muhammadiyah 1 Palembang to identify its strengths and weaknesses and provide recommendations for improvement. The benefits of this study include gaining a better understanding of the quality of the LMS used, practical guidance to enhance the effectiveness of learning, and an objective comparison against the ISO 25010 standard. The results of the study indicate strengths in functionality, user interface, and reliability of the LMS, but weaknesses in performance efficiency and usability. The recommended improvements focus on enhancing efficiency and user experience. This study contributes to the evaluation of LMS quality and provides valuable insights for educational institutions, particularly SMK","PeriodicalId":174230,"journal":{"name":"Explore: Jurnal Sistem Informasi dan Telematika","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129950829","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":"Prototype dan Implementasi Smart Lock dengan Akses E-KTP untuk Keaamanan Rumah Berbasis Internet Of Things","authors":"Graha Prakarsa, Reni Nursyanti, Vani Maharani Nasution","doi":"10.36448/jsit.v14i1.3100","DOIUrl":"https://doi.org/10.36448/jsit.v14i1.3100","url":null,"abstract":"- The level of crime and the expertise of thieves, especially house theft, is very high, making the author come up with the idea of innovating a door security device that is efficient and practically does not need to use conventional locks, namely door security using Radio Frequency Identification (RFID) based on the Internet of Things using the NodeMcu Lolin V3 microcontroller. . Radio Frequency Identification (RFID) reads the UID E-KTP and PIN as a door opener by utilizing Internet of Things technology by using wireless connected to the website which can be monitored via a Smartphone which aims to ensure more security because not everyone can access the door easily and no need to carry conventional keys anymore and switch to automatic smart doors using E-KTP and Pin access and produce smart lock system designs by utilizing IoT-based e-KTP access. The result is that Smart Lock uses E-KTP and PIN access and UPS batteries to allow access to still be able to enter even though the power is off and is made to increase security and does not need to use conventional locks to make the house safe and practical which is operated with the NodeMCU microcontroller as a control center circuit using Arduino IDE software that can be controlled remotely from the website","PeriodicalId":174230,"journal":{"name":"Explore: Jurnal Sistem Informasi dan Telematika","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114758475","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 Sentimen penggunaan Mypertamina untuk Pembelian BBM Bersubsidi mengggunakan Algoritma Naive Bayes","authors":"Denada Fatimah Zahra","doi":"10.36448/jsit.v14i1.3098","DOIUrl":"https://doi.org/10.36448/jsit.v14i1.3098","url":null,"abstract":"-This study aims to analyze the sentiment of using the Mypertamina application in purchasing subsidized fuel oil using the Naive Bayes algorithm. This research involves data pre-processing stages, such as full preprocessing and stopword removal, as well as accuracy testing by varying the distribution of training data and test data. The results showed that by carrying out full preprocessing of the data and using 70% of the training data, the classification model achieved an accuracy of 85%. The use of 80% training data increases accuracy to 87%, while the use of 90% training data results in an accuracy of 89%. This shows that the more training data used, the better the performance of the classification model. Eliminating stopwords also has a significant impact on model accuracy. Without omission of stopwords, the accuracy of the model with a data division of 70%, 80%, and 90% is 80%, 82%, and 84%, respectively. Even though the accuracy is lower than full preprocessing, the model still provides good predictions. Based on the test results, it can be concluded that the application of full preprocessing with more training data tends to produce better model performance. However, removing stopwords also makes a significant contribution to improving accuracy. Therefore, in developing a text classification model, comprehensive pre-processing and appropriate stopword removal need to be considered according to the characteristics of the data and analysis needs. In testing the classification using the Naïve Bayes Classifier method, the distribution of training data and test data also has an effect. The use of 70% training data results in an accuracy of 85%, while the use of 80% and 90% training data results in an accuracy of 87% and 89% respectively. The more training data used, the better the performance of the Naïve Bayes Classifier classification model. In the final conclusion, the proportion of 90% of the training data gives the best performance in classifying the test data with the highest accuracy. However, using a smaller test dataset may lead to a higher variation in results. Therefore, cross-validation methods or tests with more folds can provide more comprehensive information about the performance of the classification model.","PeriodicalId":174230,"journal":{"name":"Explore: Jurnal Sistem Informasi dan Telematika","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114782327","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":"Keefektifan E-Learning sebagai Sistem Media Pembelajaran (Studi Evaluasi Penggunaan E-Learning dengan Aplikasi Edlink Sevima di STIK Bina Husada)","authors":"Evariani E, M. Saputra, Tata Sutabri","doi":"10.36448/jsit.v14i1.3093","DOIUrl":"https://doi.org/10.36448/jsit.v14i1.3093","url":null,"abstract":"","PeriodicalId":174230,"journal":{"name":"Explore: Jurnal Sistem Informasi dan Telematika","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133488646","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":"Rancang Bangun Sistem Informasi Pengelolaan Stok Barang berbasis Web pada Perusahaan Busana Muslim","authors":"I. Maulana, Novita Br. Ginting, E. Purwanto","doi":"10.36448/jsit.v14i1.3054","DOIUrl":"https://doi.org/10.36448/jsit.v14i1.3054","url":null,"abstract":"-PT. Alwahijab is a company engaged in the production and distribution of Muslim clothing which is marketed online. The problem that occurs in the current running system is when there are incoming orders but there is no stock of goods caused by ineffective stock data management. For this reason, a stock management system is needed so that the stock data presented to consumers is in accordance with the actual stock amount, data that is valid, fast and easy to access will also be useful for managers to find out the stock and assets that have settled in products that have not been sold. The purpose of this research is to create a Stock Inventory Information System, which can manage incoming and outgoing goods, stock items, customer data, shipping, ordering transactions. This research was conducted using the waterfall system development method, where the stages of information system development were carried out in stages and sequentially, starting from requirements analysis, design, implementation, testing, and maintenance. Black box testing is done to evaluate the function of the system as a whole without looking at its internal implementation. The results of this study are stock management information systems, this information system can facilitate users in managing stock items more effectively and efficiently, and can assist in making decisions related to stock management.","PeriodicalId":174230,"journal":{"name":"Explore: Jurnal Sistem Informasi dan Telematika","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128889131","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":"Algoritma K-Means Clustering Penggunaan Bandwidth Internet (Studi Kasus di Pemerintah Daerah Kabupaten Padang Pariaman)","authors":"Rizki Mubarak, Sarjon Defit, G. Nurcahyo","doi":"10.36448/jsit.v14i1.3037","DOIUrl":"https://doi.org/10.36448/jsit.v14i1.3037","url":null,"abstract":"","PeriodicalId":174230,"journal":{"name":"Explore: Jurnal Sistem Informasi dan Telematika","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131648858","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 Penilaian Prestasi Pegawai Rupbasan dengan Metode Simple Additive Weighting (Saw)","authors":"R. Endra, Muhammad Rafi Hawari, Yanuar Dharmawan","doi":"10.36448/jsit.v14i1.3101","DOIUrl":"https://doi.org/10.36448/jsit.v14i1.3101","url":null,"abstract":"-The purpose of this research is to build a decision support system for selecting the best employees in the class 1 state confiscated storage house in Bandar Lampung. Class 1 state confiscation storage house Bandar Lampung located at the Pemasyarakatan Way Hui Street Sukarame Bandar Lampung is an agency umder the auspices of the ministry of law and human rights who is in charge of storing confiscated goods from certain parties for the purposes of the investigation or judicial process. Class 1 state confiscation storage house Bandar Lampung has 32 employees including the leadership. The problem that occurs is that there is no system that determines employees who have the best performance so that the leadership is still having difficulty in determining which employees are the best. Based on these problems, the researcher will design a decision support system application for selecting the best employees in class 1 state confiscated storage houses in Bandar Lampung using the simple additive weighting method. With the application of this decision support system, it can make it easier for the leadership of the state confiscated goods storage house to determine the best employee based on existing criteria.","PeriodicalId":174230,"journal":{"name":"Explore: Jurnal Sistem Informasi dan Telematika","volume":"11 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116800490","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":"Komparasi Algoritma Hierarchical, K-Means, dan DBSCAN pada Analisis Data Penjualan Melalui Facebook","authors":"Farah Dwi Wahyuningtyas, Abdillah Arafat, Agus Stiawan, Dwi Rolliawati","doi":"10.36448/jsit.v14i1.2931","DOIUrl":"https://doi.org/10.36448/jsit.v14i1.2931","url":null,"abstract":"- The use of the internet in Indonesia to access social media has increased from the previous four years, where 36.36% of users still use social media Facebook. The average social media users are teenagers with smartphones. Facebook has features that are favored by its users for buying and selling activities, so that it can increase user engagement and sales data. To analyze the increase in sales data, this study uses data mining with clustering methods. By using secondary data from the UCI Repository, a comparative analysis of three different algorithms was carried out to find out which is the best among the Hierarchical, K-Means, and DBSCAN algorithms. The results showed that the Hierarchical algorithm obtained the highest silhouette score, namely 0.884, a fairly thin difference with the silhouette score obtained by K-Means, which was 0.872. Furthermore, the results of comparisons made using performance indicators show that K-Means is the best algorithm with an average execution time of 0.402 seconds, a considerable difference from the other two algorithms. Based on the two indicators that have been used, it can be seen that the best algorithm for analyzing sales data via Facebook is the K-Means algorithm. Finally, the appearance of the number of clusters 2 from the K-Means algorithm can group sales data via Facebook into two categories, namely \"Busy Posts\" and \"Lone Posts\".","PeriodicalId":174230,"journal":{"name":"Explore: Jurnal Sistem Informasi dan Telematika","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121340149","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}