Jurnal Sistem Informasi最新文献_第4页

Implementation of Security and Monitoring System on Prototype Car based on Internet of Things (IoT) 基于物联网的原型车安防监控系统实现

Jurnal Sistem Informasi Pub Date : 2023-09-30 DOI: 10.32520/stmsi.v12i3.3267

Renata Anggielita, Irma Salamah, Suroso Suroso

引用次数: 0

Analysis of Regency/City Human Development Index Data in East Java Through Grouping Using Hierarchical Agglomerative Clustering Method 基于层次聚类方法的东爪哇县域/城市人类发展指数数据分组分析

Jurnal Sistem Informasi Pub Date : 2023-09-30 DOI: 10.32520/stmsi.v12i3.2959

Roudlotul Jannah Alfirdausy, Nurissaidah Ulinnuha, Moh. Hafiyusholeh

{"title":"Analysis of Regency/City Human Development Index Data in East Java Through Grouping Using Hierarchical Agglomerative Clustering Method","authors":"Roudlotul Jannah Alfirdausy, Nurissaidah Ulinnuha, Moh. Hafiyusholeh","doi":"10.32520/stmsi.v12i3.2959","DOIUrl":"https://doi.org/10.32520/stmsi.v12i3.2959","url":null,"abstract":"The evaluation of human development is typically done using the Human Development Index (HDI), which measures the level of development in terms of various essential aspects of quality of life. In the case of East Java, the HDI is categorized as high. However. the distribution of HDI among the Regencies/Cities in East Java is still uneven. Therefore, it becomes necessary to cluster the districts/cities based on their HDI and the achievement of each indicator contributing to the HDI. Clustering is a data analysis technique used to group similar data together. Hierarchical agglomerative clustering is one of the methods used for this purpose. The aim of this study is to provide a reference for the government to understand the distribution of characteristic groupings among the districts/cities based on their HDI profiles in East Java. The analysis of East Java's HDI data for 2021 revealed that the best method and cluster was obtained using Average Linkage, with a Cophenetic coefficient value of 0.8105891, resulting in two clusters. The cluster with the highest Silhouette coefficient value of 0.6196077 comprised 34 districts/cities, classified as the low cluster, while the high cluster consisted of four cities/regencies.","PeriodicalId":32357,"journal":{"name":"Jurnal Sistem Informasi","volume":"170 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135039995","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

Implementation of E-Govqual and IPA Models in Evaluating the Quality of Online Licensing System Services E-Govqual和IPA模型在评估在线许可系统服务质量中的应用

Jurnal Sistem Informasi Pub Date : 2023-09-30 DOI: 10.32520/stmsi.v12i3.3149

Danu Faisal Pangestu, Sawali Wahyu

{"title":"Implementation of E-Govqual and IPA Models in Evaluating the Quality of Online Licensing System Services","authors":"Danu Faisal Pangestu, Sawali Wahyu","doi":"10.32520/stmsi.v12i3.3149","DOIUrl":"https://doi.org/10.32520/stmsi.v12i3.3149","url":null,"abstract":"The online licensing information system website, hereinafter referred to as SIMPONIE, still faces a number of challenges as a transition from manual to digital system and has never been properly checked on the SIMPONIE website. This study aims to assess the good and bad level of SIMPONIE services using six e-govqual dimensions and provide advice based on the results of the Importance Performance Analysis (IPA) analysis. Research development on this method covers the wider scope of service quality. This study used a quantitative descriptive approach to collect data from 50 sample questionnaires and to carry out validity and reliability checks along with hypothesis testing and IPA quadrant analysis. According to the research results, 90.5% of the choices regarding service quality are influenced by factors of community support, function, and involvement as well as user convenience, reliability, and trust. With a gap value (GAP) of -0.75, there is a high priority scale for improvement in quadrant A, namely the license issuance function will be faster if it can be downloaded independently (RLB 2), the system often experiences errors or errors (FI 4) and live chat feature that needs improvement and human resource improvement. The implication of this research is that it can provide recommendations for improvements to improve the service quality of the online licensing system.","PeriodicalId":32357,"journal":{"name":"Jurnal Sistem Informasi","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135039997","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

Implementation of Deep Neural Network in the Design of Ethereum Blockchain Scam Token Detection Applications 深度神经网络在以太坊区块链诈骗令牌检测应用设计中的实现

Jurnal Sistem Informasi Pub Date : 2023-09-30 DOI: 10.32520/stmsi.v12i3.3162

Dimas Arya Pamungkas, Ivana Lucia Kharisma, Dwi Sartika Simatupang, Kamdan Kamdan

{"title":"Implementation of Deep Neural Network in the Design of Ethereum Blockchain Scam Token Detection Applications","authors":"Dimas Arya Pamungkas, Ivana Lucia Kharisma, Dwi Sartika Simatupang, Kamdan Kamdan","doi":"10.32520/stmsi.v12i3.3162","DOIUrl":"https://doi.org/10.32520/stmsi.v12i3.3162","url":null,"abstract":"The popularity of blockchain continues to increase as technology develops, especially in the context of Ethereum as one of the leading blockchain platforms. However, this increase was also followed by many cases of fraud, especially in the form of tokens. In blockchain technology, tokens often refer to cryptocurrencies or digital currencies used as a means of exchange related to a particular project or platform. This research designs and builds an application system that can detect scam crypto tokens on the Ethereum blockchain, specifically for the ERC-20 (Ethereum Request for Comments 20) token type, which was proposed by Fabian Vogelsteller in November 2015, is a token standard that implements APIs for tokens. in Smart Contracts. Making a scam detection application implements the deep learning method with the Deep Neural Network (DNN) algorithm and evaluates performance using two test scenarios by dividing the dataset into three ratios of training data and test data. The output of the application is JSON-RPC which is integrated with the website. In testing the DNN model, using 80% training data and 20% test data, the DNN algorithm provides an accuracy of 0.997558%. Furthermore, system testing was carried out involving various scenarios to verify its functionality, including input validation, data extraction, DNN prediction, and display of prediction results, which gave good results from the system created. The application has succeeded in identifying scam tokens with high accuracy. , increasing user security in crypto transactions.","PeriodicalId":32357,"journal":{"name":"Jurnal Sistem Informasi","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135040082","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

Clustering Earthquake Event Points in the Southeast Asia Region using Agglomerative Hierarchical Clustering 利用聚类分层聚类方法对东南亚地区地震事件点进行聚类

Jurnal Sistem Informasi Pub Date : 2023-09-30 DOI: 10.32520/stmsi.v12i3.3150

Adi Arifin

{"title":"Clustering Earthquake Event Points in the Southeast Asia Region using Agglomerative Hierarchical Clustering","authors":"Adi Arifin","doi":"10.32520/stmsi.v12i3.3150","DOIUrl":"https://doi.org/10.32520/stmsi.v12i3.3150","url":null,"abstract":"Earthquake is an inevitable and highly dangerous natural disaster due to its sudden and uncontrollable occurrence. Earthquakes frequently happen in the Southeast Asia region, resulting in infrastructure damage, loss of life, and economic disruption. Therefore, efforts should be made to mitigate earthquake risks, including the classification of earthquake data in the Southeast Asia region. The data used in this study were obtained from The Seismological Facility for the Advancement of Geoscience (SAGE), a facility funded by NSF and operated by the Incorporated Research Institutions for Seismology (IRIS). The study employed Agglomerative Hierarchical Clustering (AHC) to group the data into multiple clusters. The validity of the formed clusters was assessed using Silhouette Score Index (SSI), Davies Doublin Index (DBI), and Calinski Harabasz Index (CHI). The study involved two clustering processes, resulting in three clusters for the first clustering process aimed at creating new attributes, namely Area, and three clusters for the second clustering process aimed at identifying the types of earthquakes in the Southeast Asia region. These three formed clusters had SSI, DBI, and CHI values of 0.434353, 0.887791, and 3769.030146, respectively, indicating that AHC successfully classified the earthquake data. The findings of this research serve as a reference for further studies such as earthquake prediction and contribute to disaster mitigation strategies to enhance preparedness for future events.","PeriodicalId":32357,"journal":{"name":"Jurnal Sistem Informasi","volume":"40 30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135039100","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 Phishing Detection Tests using the SVM Method with RBF and Linear Kernels 基于RBF和线性核的支持向量机网络钓鱼检测测试比较

Jurnal Sistem Informasi Pub Date : 2023-09-30 DOI: 10.32520/stmsi.v12i3.2882

Rumini Rumini, Norhikmah Norhikmah, Ali Mustofa, Sulistyo Pradana

{"title":"Comparison of Phishing Detection Tests using the SVM Method with RBF and Linear Kernels","authors":"Rumini Rumini, Norhikmah Norhikmah, Ali Mustofa, Sulistyo Pradana","doi":"10.32520/stmsi.v12i3.2882","DOIUrl":"https://doi.org/10.32520/stmsi.v12i3.2882","url":null,"abstract":"Phising adalah sebuah tindakan kriminal untuk mencuri informasi pribadi orang lain menggunakan entitas electronic, salah satunya adalah website. Informasi ini dicuri dari website yang telah diakses yang mengandung phising atau dengan kata lain masuk ke dalam kategori website phising. Tujuan dari web phising adalah membuat pengguna percaya bahwa mereka berinteraksi dengan situs resmi. Umumnya informasi yang dicari phisher (pelaku phising) adalah berupa username, password, baik itu akun media sosial atau akun nomor kartu kredit dengan cara diarahkan ke sebuah situs website palsu. Maka dari itu perlu adanya deteksi web phising yang berguna untuk melindungi user dari tindak pencurian informasi pengguna. Penelitian ini membahas dua kernel dalam metode SVM (Support Vector Machine) untuk deteksi web phising yaitu kernel RBF (Radial Basis Function) dan kernel linear. Akurasi yang didapatkan dengan ketiga kernel menghasilkan nilai akurasi yang berbeda-beda. Hasil akurasi pengujian sistem deketksi web phising dengan Kernel Linear sebesar 92.582 % dan Kernel Radial Basis Function sebesar 96.426 %. Akurasi paling tinggi dengan metode SVM untuk deteksi web phising yaitu menggunakan kernel RBF (Radial Basis Function).","PeriodicalId":32357,"journal":{"name":"Jurnal Sistem Informasi","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135039103","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

Analysis and Design of Architecture Enterprise at PT. PLN. Enjiniring PT. PLN建筑企业分析与设计。Enjiniring

Jurnal Sistem Informasi Pub Date : 2023-09-30 DOI: 10.32520/stmsi.v12i3.2922

Lukas Bagus Sutejo, Hanna Prillysca Chernovita

{"title":"Analysis and Design of Architecture Enterprise at PT. PLN. Enjiniring","authors":"Lukas Bagus Sutejo, Hanna Prillysca Chernovita","doi":"10.32520/stmsi.v12i3.2922","DOIUrl":"https://doi.org/10.32520/stmsi.v12i3.2922","url":null,"abstract":"In the industrial era 4.0, as it is now, all-digital processes to support business are commonplace. So that we need a design that can align between the business processes of a company with the information system owned by the company. PT. PLN (Prima Layanan Nasipnal) Enjiniring is a company engaged in the field of electricity engineering consulting under the auspices of or a subsidiary of PT. Perusahaan Listrik Negara (Persero), which carries out planning, construction, operation and maintenance as well as performance management in electricity and non-electricity infrastructure and the role of Information Technology is very necessary in the running of Business Processes in this company. The application of Information Systems and Information Technology at PLN. Enjiniring is currently not yet integrated with each other so that the application of IS/IT has not run optimally and has not been effective in data exchange, so it is necessary to hold integration of information systems managed by the Information Technology Section of PT. PLN. Enjiniring so that in to design an integrated information system requires Enterprise Architecture (EA) using the TOGAF ADM framework. The results of this EA design are in the form of artifacts in the TOGAF ADM component which are expected with these artifacts to become recommendations in the implementation of integrated information system infrastructure in information systems managed by the Information Technology Section of PT. PLN. Enjiniring so that with the implementation of an integrated information system it can support the process business that runs on PT. PLN. Enjiniring.","PeriodicalId":32357,"journal":{"name":"Jurnal Sistem Informasi","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135040132","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

Analysis of the k-Means Method in Clustering Acceptance of PKH Aid in Pulau Rakyat Tua Village 普劳拉雅图村PKH援助聚类接受的k-均值方法分析

Jurnal Sistem Informasi Pub Date : 2023-09-30 DOI: 10.32520/stmsi.v12i3.3236

Dwi Kurnia Utami, Novica Irawati, Sumantri Sumantri

{"title":"Analysis of the k-Means Method in Clustering Acceptance of PKH Aid in Pulau Rakyat Tua Village","authors":"Dwi Kurnia Utami, Novica Irawati, Sumantri Sumantri","doi":"10.32520/stmsi.v12i3.3236","DOIUrl":"https://doi.org/10.32520/stmsi.v12i3.3236","url":null,"abstract":"The Family Hope Program (PKH) is a program that provides cash assistance to Very Poor Households (RSTM) which are required to fulfill requirements related to efforts to improve the quality of human resources. In selecting residents to be recipients of the Family Hope Program (PKH) in Pulau Rakyat Tua Village, the problem that often arises is that the provision of Family Hope Program assistance is often considered not to be on target. In addition, errors often occur because the selection is still done manually and requires a long time in selecting participants, which can be influenced by the objective assessment of PKH companions. The research objective is to apply the k-means clustering algorithm in selecting prospective beneficiaries of the Family Hope Program (PKH). The method used uses the application of data mining with the k-means clustering algorithm. Based on the results of applying the k-means clustering algorithm, the results of the system being built can make it easier to select potential recipients of Family Program assistance. The results of the k-means clustering algorithm test produced Cluster 1 in the Eligible category totaling 29 PKH beneficiary data and Cluster 2 in the Ineligible category totaling 1 PKH beneficiary data.","PeriodicalId":32357,"journal":{"name":"Jurnal Sistem Informasi","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135040003","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

Geospatial API Architecture with Laravel for Agricultural Land Suitability Detection System 基于Laravel的农业用地适宜性检测系统地理空间API架构

Jurnal Sistem Informasi Pub Date : 2023-09-30 DOI: 10.32520/stmsi.v12i3.2844

Yerymia Alfa Susetyo

引用次数: 0

Smart Farming System on Red Onion Plants Based on the Internet of Things 基于物联网的红洋葱智能农业系统

Jurnal Sistem Informasi Pub Date : 2023-09-30 DOI: 10.32520/stmsi.v12i3.2860

Sirojul Hadi, Anzali Ika Cahyati, Kurniadin Abd Latif, Tomi Tri Sujaka, Muhammad Zulfikri

{"title":"Smart Farming System on Red Onion Plants Based on the Internet of Things","authors":"Sirojul Hadi, Anzali Ika Cahyati, Kurniadin Abd Latif, Tomi Tri Sujaka, Muhammad Zulfikri","doi":"10.32520/stmsi.v12i3.2860","DOIUrl":"https://doi.org/10.32520/stmsi.v12i3.2860","url":null,"abstract":"Red Onions are agricultural commodities that are a source of income for farmers and can make a major contribution to Indonesia's economic development. The characteristic of the onion plant is that it requires a lot of sunlight. The sunlight needed for photosynthesis is 70% with an ambient temperature range of 25oC-32oC and soil moisture in the range of 50%-70%. Although red onions require a lot of water, these plants are sensitive to high-intensity rainfall. The critical period of the red onion plants is in the tuber formation phase so it is necessary to control it to get maximum production results. The method of making the smart farming system uses the Research and Development (R&D) method while sending data online to the web uses the Internet of Things (IoT) method. The result of this research is that a monitoring and control system for temperature and humidity has been successfully built on red onion plants. The system built is capable of measuring temperature with an accuracy rate of 95.33% and environmental humidity in plants reaching 92.07% while the accuracy of testing the entire system reaches 93.33%. The smart farming system has been able to automatically irrigate and apply fertilizer. Control of irrigation and application of fertilizers by the system has implications for better shallot growth and creates modern agriculture.","PeriodicalId":32357,"journal":{"name":"Jurnal Sistem Informasi","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135040127","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