Pub Date : 2023-09-30DOI: 10.32520/stmsi.v12i3.3267
Renata Anggielita, Irma Salamah, Suroso Suroso
This Internet of Things (IoT)-based car security and monitoring system is implemented on a prototype car with a security system in the form of face identification, Global Positioning System (GPS), and Gas Sensor. The purpose of this research is to improve the security and safety of motorized vehicles, especially cars. This IoT-based car security system uses the prototype method, which is a system development technique that uses a prototype to describe the system so that users have a clear picture of the system to be built. From the results of testing face identification, gas sensors, and GPS show that the system can work according to the expected design. Based on the overall test results this system works quite well to improve vehicle security. therefore, this car security and monitoring system has a positive effect on making vehicle owners feel safe.
{"title":"Implementation of Security and Monitoring System on Prototype Car based on Internet of Things (IoT)","authors":"Renata Anggielita, Irma Salamah, Suroso Suroso","doi":"10.32520/stmsi.v12i3.3267","DOIUrl":"https://doi.org/10.32520/stmsi.v12i3.3267","url":null,"abstract":"This Internet of Things (IoT)-based car security and monitoring system is implemented on a prototype car with a security system in the form of face identification, Global Positioning System (GPS), and Gas Sensor. The purpose of this research is to improve the security and safety of motorized vehicles, especially cars. This IoT-based car security system uses the prototype method, which is a system development technique that uses a prototype to describe the system so that users have a clear picture of the system to be built. From the results of testing face identification, gas sensors, and GPS show that the system can work according to the expected design. Based on the overall test results this system works quite well to improve vehicle security. therefore, this car security and monitoring system has a positive effect on making vehicle owners feel safe.","PeriodicalId":32357,"journal":{"name":"Jurnal Sistem Informasi","volume":"15 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":"135039105","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}
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.
{"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}
Pub Date : 2023-09-30DOI: 10.32520/stmsi.v12i3.3149
Danu Faisal Pangestu, Sawali Wahyu
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.
{"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}
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.
随着技术的发展，区块链的普及程度不断增加，特别是在以太坊作为领先的区块链平台之一的背景下。然而，这一增长之后也出现了许多欺诈案件，特别是以代币的形式。在区块链技术中，代币通常是指作为与特定项目或平台相关的交换手段的加密货币或数字货币。本研究设计并构建了一个可以在以太坊区块链上检测诈骗加密令牌的应用系统，特别是针对由Fabian Vogelsteller于2015年11月提出的ERC-20 (Ethereum Request for Comments 20)令牌类型，这是一个实现令牌api的令牌标准。在智能合约。制作诈骗检测应用程序，使用深度神经网络(deep Neural Network, DNN)算法实现深度学习方法，并通过将数据集分为训练数据和测试数据的三个比例，使用两个测试场景评估性能。应用程序的输出是与网站集成的JSON-RPC。在对DNN模型的测试中，使用80%的训练数据和20%的测试数据，DNN算法的准确率为0.997558%。此外，我们还对系统进行了各种场景的测试，包括输入验证、数据提取、DNN预测、预测结果显示等，验证了系统的功能，所创建的系统取得了良好的效果。该应用程序已成功地识别诈骗令牌具有很高的准确性。提高用户在加密交易中的安全性。
{"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}
Pub Date : 2023-09-30DOI: 10.32520/stmsi.v12i3.3150
Adi Arifin
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.
地震是一种不可避免的、危险性高的自然灾害，具有突发性和不可控性。东南亚地区经常发生地震，导致基础设施受损、人员伤亡和经济中断。因此，应努力减轻地震风险，包括对东南亚地区的地震数据进行分类。本研究中使用的数据来自地球科学进步地震设施(SAGE)，该设施由美国国家科学基金会资助，由地震学联合研究机构(IRIS)运营。本研究采用聚类分层聚类(AHC)将数据分成多个聚类。采用Silhouette Score Index (SSI)、Davies Doublin Index (DBI)和Calinski Harabasz Index (CHI)评价聚类的有效性。该研究涉及两个聚类过程，第一个聚类过程有三个聚类，目的是创建新的属性，即面积，第二个聚类过程有三个聚类，目的是识别东南亚地区的地震类型。这三个聚类的SSI值为0.434353,DBI值为0.887791,CHI值为3769.030146，说明AHC对地震数据分类成功。这项研究的结果可作为地震预测等进一步研究的参考，并有助于制定减灾战略，以加强对未来事件的准备。
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Pub Date : 2023-09-30DOI: 10.32520/stmsi.v12i3.2882
Rumini Rumini, Norhikmah Norhikmah, Ali Mustofa, Sulistyo Pradana
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).
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Pub Date : 2023-09-30DOI: 10.32520/stmsi.v12i3.2922
Lukas Bagus Sutejo, Hanna Prillysca Chernovita
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.
在工业4.0时代，就像现在一样，支持业务的全数字化流程是司空见惯的。因此，我们需要一种设计，能够使公司的业务流程与公司拥有的信息系统保持一致。PT. PLN (Prima Layanan Nasipnal) Enjiniring是PT. Perusahaan Listrik Negara (Persero)旗下或子公司从事电力工程咨询领域的公司，负责电力和非电力基础设施的规划、建设、运营和维护以及绩效管理，信息技术在该公司业务流程的运行中发挥着非常重要的作用。信息系统和信息技术在PLN的应用。目前工程还没有相互集成，使得is /IT的应用没有达到最佳的运行状态，在数据交换方面也没有达到有效的效果，因此有必要将信息系统的集成由PT. PLN的信息技术科管理。为了设计一个集成的信息系统，需要使用TOGAF ADM框架的企业架构(EA)。此EA设计的结果以TOGAF ADM组件中的工件的形式出现，这些工件有望成为PT. PLN的信息技术部门管理的信息系统中集成信息系统基础设施实施中的建议。使集成信息系统的实现能够支持在PT. PLN上运行的流程业务。Enjiniring。
{"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}
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.
{"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}
Pub Date : 2023-09-30DOI: 10.32520/stmsi.v12i3.2844
Yerymia Alfa Susetyo
Identification of agricultural land suitability involves a variety of variables that are heterogeneous. The heterogeneity of spatially-based climate and physiographic data is in fact quite complex to solve. Therefore, a spatial-based system architecture that meets the criteria of inclusiveness, collaboration, capacity development, and quick request-response is needed. The research aims to build an API geospatial architecture with Laravel for Agricultural Land Suitability Detection Systems. The geospatial API architecture in this study was built using RESTFul Web services on the Laravel Framework. Simulation architecture involves five nodes as a server and one node as a client. Six main API were produced in this study. Four services are derived from four severs, where services are services related to spatial data (area, altitude, slope, and rainfall). Meanwhile, two other services, relating to conventional information zoning of agricultural land suitability generated by Server 5. The service generated by the last server was successfully implemented on the client-based web-based interactive map application.
{"title":"Geospatial API Architecture with Laravel for Agricultural Land Suitability Detection System","authors":"Yerymia Alfa Susetyo","doi":"10.32520/stmsi.v12i3.2844","DOIUrl":"https://doi.org/10.32520/stmsi.v12i3.2844","url":null,"abstract":"Identification of agricultural land suitability involves a variety of variables that are heterogeneous. The heterogeneity of spatially-based climate and physiographic data is in fact quite complex to solve. Therefore, a spatial-based system architecture that meets the criteria of inclusiveness, collaboration, capacity development, and quick request-response is needed. The research aims to build an API geospatial architecture with Laravel for Agricultural Land Suitability Detection Systems. The geospatial API architecture in this study was built using RESTFul Web services on the Laravel Framework. Simulation architecture involves five nodes as a server and one node as a client. Six main API were produced in this study. Four services are derived from four severs, where services are services related to spatial data (area, altitude, slope, and rainfall). Meanwhile, two other services, relating to conventional information zoning of agricultural land suitability generated by Server 5. The service generated by the last server was successfully implemented on the client-based web-based interactive map application.","PeriodicalId":32357,"journal":{"name":"Jurnal Sistem Informasi","volume":"32 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":"135040005","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}
Pub Date : 2023-09-30DOI: 10.32520/stmsi.v12i3.2860
Sirojul Hadi, Anzali Ika Cahyati, Kurniadin Abd Latif, Tomi Tri Sujaka, Muhammad Zulfikri
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.
{"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}
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