There are many vehicle accidents on the road, around 18-23% are caused by tire burst. One solution is to monitor the car tire pressure. In this study, we created a car tire pressure monitoring system that runs using IoT technology. This system successfully monitors tire pressure changes remotely.
{"title":"Penerapan Teknologi IoT pada Sistem Monitoring Tekanan Ban Mobil yang Berjalan","authors":"Hendy Briantoro","doi":"10.35314/isi.v7i2.2730","DOIUrl":"https://doi.org/10.35314/isi.v7i2.2730","url":null,"abstract":"There are many vehicle accidents on the road, around 18-23% are caused by tire burst. One solution is to monitor the car tire pressure. In this study, we created a car tire pressure monitoring system that runs using IoT technology. This system successfully monitors tire pressure changes remotely.","PeriodicalId":354905,"journal":{"name":"INOVTEK Polbeng - Seri Informatika","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124566437","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 quality of the software before commercialization, requires that the software goes through a set testing process of its various properties in order to avoid errors, maintain the quality and increase the value of the software. In this research article, we apply the black box testing method, where this test focuses on the quality of the software from the user's point of view. Increasingly sophisticated technology makes it possible to run tests automatically using tools. This research uses Katalon Studio’s tools for automated testing. This allows you to use the function more efficiently. As a result of this test, we successfully implemented automated tests using Katalon Studio's tools. It reduces the time for repeated tests with large amounts of data, automatically prints and displays more detailed test results, and finds easily understandable errors.
{"title":"Penerapan Metode Blackbox Pada Perangkat Lunak Menggunakan Katalon Studio","authors":"Virginia Tirza Tempomona","doi":"10.35314/isi.v7i2.2513","DOIUrl":"https://doi.org/10.35314/isi.v7i2.2513","url":null,"abstract":"- The quality of the software before commercialization, requires that the software goes through a set testing process of its various properties in order to avoid errors, maintain the quality and increase the value of the software. In this research article, we apply the black box testing method, where this test focuses on the quality of the software from the user's point of view. Increasingly sophisticated technology makes it possible to run tests automatically using tools. This research uses Katalon Studio’s tools for automated testing. This allows you to use the function more efficiently. As a result of this test, we successfully implemented automated tests using Katalon Studio's tools. It reduces the time for repeated tests with large amounts of data, automatically prints and displays more detailed test results, and finds easily understandable errors.","PeriodicalId":354905,"journal":{"name":"INOVTEK Polbeng - Seri Informatika","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127196413","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}
Abstrack - Corona virus is a disease that attacks human respiratory tract infections that are generally mild, such as flu and cough. If not treated quickly will result in death. This virus is quickly transmitted from human to human through the air and in contact. To reduce the spread of the virus, it requires clustering using the K-Means and K-Medoids algorithm, this method works to partition objects into groups. The clustering was obtained based on data on total cases, total deaths and total cures. Based on the results of this study, the K-Means algorithm is more optimal than the K-Medoids in clustering regions in Indonesia. It is proven that the best value of the Davies Bouldin Index from the K-Means algorithm is 0.158 with k = 4 and the K-Medoids algorithm is 0.806 with k = 5. The results of clustering are based on the most optimal value, namely the K-Means algorithm, showing cluster 1 Central Java and Java. East is at the top due to high case and death rates.
{"title":"ANALISIS PENGELOMPOKAN WILAYAH PENYEBARAN COVID-19 di INDONESIA DENGAN METODE CLUSTERING MENGGUNAKAN ALGORITMA K-MEANS dan K-MEDOIDS","authors":"Chandra Halim, H. Purnomo, T. Wahyono","doi":"10.35314/isi.v7i2.2566","DOIUrl":"https://doi.org/10.35314/isi.v7i2.2566","url":null,"abstract":"Abstrack - Corona virus is a disease that attacks human respiratory tract infections that are generally mild, such as flu and cough. If not treated quickly will result in death. This virus is quickly transmitted from human to human through the air and in contact. To reduce the spread of the virus, it requires clustering using the K-Means and K-Medoids algorithm, this method works to partition objects into groups. The clustering was obtained based on data on total cases, total deaths and total cures. Based on the results of this study, the K-Means algorithm is more optimal than the K-Medoids in clustering regions in Indonesia. It is proven that the best value of the Davies Bouldin Index from the K-Means algorithm is 0.158 with k = 4 and the K-Medoids algorithm is 0.806 with k = 5. The results of clustering are based on the most optimal value, namely the K-Means algorithm, showing cluster 1 Central Java and Java. East is at the top due to high case and death rates.","PeriodicalId":354905,"journal":{"name":"INOVTEK Polbeng - Seri Informatika","volume":"46 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126757682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Prediksi Harga Beras Berdasarkan Kualitas Beras dengan Metode LSTM","authors":"Nur Nafiiyah","doi":"10.35314/isi.v7i2.2599","DOIUrl":"https://doi.org/10.35314/isi.v7i2.2599","url":null,"abstract":"","PeriodicalId":354905,"journal":{"name":"INOVTEK Polbeng - Seri Informatika","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114497676","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 problem faced by many SMEs is the imbalance between demand and supply. As one of the SMEs, Stockist C-Geulis often faces the problem of unavailable product stock while orders are not yet available. This research aims to identify high-value and high-demand products and predict minimum and maximum inventory levels for the following month. The method for determining high-value products is ABC analysis, while the minimum and maximum inventory predictions use the ARIMA (Autoregressive Integrated Moving Average). The data for stock forecasting uses sales data from January 2019 to June 2021. The results show that ABC analysis based on sales value includes four class A products, three class B products, and eight class C products. The forecast results show that the inventory forecast data for three periods does not meet the assumption of stationarity to the average because a level 1 differentiation process is carried out so that the data becomes stationary. The ARIMA models produced are ARIMA (1,1,1) for Batik C-Geulis products and Busui C-Geulis and ARIMA (1,0,0) for Inner Gamis Hijab products. The supplies provided for Batik C-Geulis products in July 2021 are 37 pcs, Busui C-Geulis are 45 pcs, and Inner Gamis C-Geulis are 49 pcs.
{"title":"Klasifikasi ABC dan Peramalan ARIMA Inventory Usaha Kecil Menengah Stokis Pakaian Muslim","authors":"Alamanda Chatartica, Kursehi Falgenti","doi":"10.35314/isi.v7i2.2776","DOIUrl":"https://doi.org/10.35314/isi.v7i2.2776","url":null,"abstract":"The problem faced by many SMEs is the imbalance between demand and supply. As one of the SMEs, Stockist C-Geulis often faces the problem of unavailable product stock while orders are not yet available. This research aims to identify high-value and high-demand products and predict minimum and maximum inventory levels for the following month. The method for determining high-value products is ABC analysis, while the minimum and maximum inventory predictions use the ARIMA (Autoregressive Integrated Moving Average). The data for stock forecasting uses sales data from January 2019 to June 2021. The results show that ABC analysis based on sales value includes four class A products, three class B products, and eight class C products. The forecast results show that the inventory forecast data for three periods does not meet the assumption of stationarity to the average because a level 1 differentiation process is carried out so that the data becomes stationary. The ARIMA models produced are ARIMA (1,1,1) for Batik C-Geulis products and Busui C-Geulis and ARIMA (1,0,0) for Inner Gamis Hijab products. The supplies provided for Batik C-Geulis products in July 2021 are 37 pcs, Busui C-Geulis are 45 pcs, and Inner Gamis C-Geulis are 49 pcs.","PeriodicalId":354905,"journal":{"name":"INOVTEK Polbeng - Seri Informatika","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132992814","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}
To continue basic education, it is necessary to develop potential abilities by learning color recognition in early childhood. However, learning in schools today still uses boring conventional learning methods. Based on these problems, there is a need for an introductory educational game that can be easily used and carried anywhere, anytime by applying the Fisher-Yates shuffle algorithm. The aim is that educational games are not monotonous and boring to play. In this study, in addition to using the Fisher-Yates algorithm, we use the Multimedia Development Life Cycle (MDLC) as the system development method. The results of tests performed using black box testing are as expected. Therefore, this educational game can be used by parents and educators as an alternative to traditional learning tools to further develop early childhood potential in preparation for basic education.
为了继续基础教育，必须在儿童早期通过学习颜色识别来开发潜在的能力。然而，今天的学校学习仍然使用枯燥的传统学习方法。基于这些问题，我们需要一款能够通过运用Fisher-Yates洗牌算法而轻松使用并随时随地携带的入门教育游戏。我们的目标是让教育类游戏不会单调乏味。在本研究中，除了使用Fisher-Yates算法外，我们还使用多媒体开发生命周期(Multimedia Development Life Cycle, MDLC)作为系统开发方法。使用黑盒测试执行的测试结果符合预期。因此，家长和教育工作者可以利用这款教育游戏作为传统学习工具的替代品，进一步开发幼儿的潜力，为基础教育做准备。
{"title":"Color Recognition Educational Game using Fisher-Yates for Early Childhood Potential Development","authors":"Muhammad Farhan Mahesa Ijlal, U. Chotijah","doi":"10.35314/isi.v7i2.2866","DOIUrl":"https://doi.org/10.35314/isi.v7i2.2866","url":null,"abstract":"To continue basic education, it is necessary to develop potential abilities by learning color recognition in early childhood. However, learning in schools today still uses boring conventional learning methods. Based on these problems, there is a need for an introductory educational game that can be easily used and carried anywhere, anytime by applying the Fisher-Yates shuffle algorithm. The aim is that educational games are not monotonous and boring to play. In this study, in addition to using the Fisher-Yates algorithm, we use the Multimedia Development Life Cycle (MDLC) as the system development method. The results of tests performed using black box testing are as expected. Therefore, this educational game can be used by parents and educators as an alternative to traditional learning tools to further develop early childhood potential in preparation for basic education.","PeriodicalId":354905,"journal":{"name":"INOVTEK Polbeng - Seri Informatika","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117302553","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}
Museum Sang Nila Utama mengoleksi warisan-warisan budaya Melayu Riau. Saat ini, Museum Sang Nila Utama memiliki lebih dari 4000 koleksi yang dibagi menjadi 10 klasifikasi, yaitu Geologika, Biologika, Etnografi, Arkeologika, Historika, Numismatika, Filologika, Keramilogika, Seni Rupa, dan Teknologika. Sejak tahun 2018, kunjungan ke Museum Sang Nila Utama mengalami peningkatan, namun sejak pandemi COVID-19 mulai masuk ke Indonesia, khususnya kota Pekanbaru, Museum Sang Nila ditutup untuk masyarakat. Dengan ditutupnya museum sang nila utama, fungsi museum sebagai wisata edukasi menjadi terhambat dan tidak terlaksana. Aplikasi museum digital merupakan solusi yang penulis tawarkan agar kunjungan museum tidak lagi terbatas pada kunjungan offline, namun juga dapat dilakukan secara online, kapan dan dimana saja. Aplikasi Museum Digital yang dibangun akan meliputi semua koleksi yang dipamerkan oleh pihak museum, yakni terdiri dari 10 klasifikasi, dengan total jumlah koleksi hampir 300 koleksi. Aplikasi mobile yang dibangun berbasis android agar aplikasi dapat digunakan oleh sebagian besar masyarakat. Berdasarkan hasil pengujian, aplikasi museum digital telah memenuhi kelima aspek pengujian usability dan memiliki nilai usability yang baik. Kelima aspek usability yaitu Learnability, Efisiensi, Memorability, Error, dan Satisfaction, memiliki nilai rata-rata di atas 4 yang berada di atas nilai tengah dalam skala 5.
{"title":"Rancang Bangun Aplikasi Museum Digital Berbasis Android (Studi Kasus: Museum Sang Nila Utama Provinsi Riau)","authors":"Yuliska Yuliska","doi":"10.35314/isi.v7i2.2556","DOIUrl":"https://doi.org/10.35314/isi.v7i2.2556","url":null,"abstract":"Museum Sang Nila Utama mengoleksi warisan-warisan budaya Melayu Riau. Saat ini, Museum Sang Nila Utama memiliki lebih dari 4000 koleksi yang dibagi menjadi 10 klasifikasi, yaitu Geologika, Biologika, Etnografi, Arkeologika, Historika, Numismatika, Filologika, Keramilogika, Seni Rupa, dan Teknologika. Sejak tahun 2018, kunjungan ke Museum Sang Nila Utama mengalami peningkatan, namun sejak pandemi COVID-19 mulai masuk ke Indonesia, khususnya kota Pekanbaru, Museum Sang Nila ditutup untuk masyarakat. Dengan ditutupnya museum sang nila utama, fungsi museum sebagai wisata edukasi menjadi terhambat dan tidak terlaksana. Aplikasi museum digital merupakan solusi yang penulis tawarkan agar kunjungan museum tidak lagi terbatas pada kunjungan offline, namun juga dapat dilakukan secara online, kapan dan dimana saja. Aplikasi Museum Digital yang dibangun akan meliputi semua koleksi yang dipamerkan oleh pihak museum, yakni terdiri dari 10 klasifikasi, dengan total jumlah koleksi hampir 300 koleksi. Aplikasi mobile yang dibangun berbasis android agar aplikasi dapat digunakan oleh sebagian besar masyarakat. Berdasarkan hasil pengujian, aplikasi museum digital telah memenuhi kelima aspek pengujian usability dan memiliki nilai usability yang baik. Kelima aspek usability yaitu Learnability, Efisiensi, Memorability, Error, dan Satisfaction, memiliki nilai rata-rata di atas 4 yang berada di atas nilai tengah dalam skala 5.","PeriodicalId":354905,"journal":{"name":"INOVTEK Polbeng - Seri Informatika","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129021832","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":"Cover dan Daftar Isi","authors":"E. Editor","doi":"10.35314/isi.v7i2.3103","DOIUrl":"https://doi.org/10.35314/isi.v7i2.3103","url":null,"abstract":"","PeriodicalId":354905,"journal":{"name":"INOVTEK Polbeng - Seri Informatika","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126482781","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}
Muhammad Yahya, J. M. Parenreng, F. Fathahillah, M. Wahid, Muhammad Fajar B, Abdul Wahid
The problem of unemployment and poverty is a significant issue that the government have yet to address completely. The number of working-age people continues to rise, yet there are insufficient employment openings to meet demand. The government then provided extensive aid to the community. The Village Information System, part of the digitization system in Laguruda Village, Takalar Regency, comprises an integrated intelligent system that can forecast the eligibility of people who come to apply for a certificate of incapacity so that they are no longer inappropriate targets. The method employed is the Multi-Attribute Utility Theory (MAUT), based on 14 criteria set forth by the Ministry of Social Affairs. The results of a 49-person sample of household heads who identified themselves as poor and in need of assistance from the Ministry of Social Affairs revealed that 57.14% were in the mediocre category, 36.73% were in the rich category, 4.08% were in the poor category, and 2.04% were in the very poor category. This information demonstrates the system's ability to filter requests for poverty certifications. On the other hand, village officials were assisted in determining the right conditions for residents to be eligible for a poverty certificate
{"title":"A Decision Support System to Determine the Familiy’s Economic Status for Certificate of The Low-Income Household Using MAUT Method","authors":"Muhammad Yahya, J. M. Parenreng, F. Fathahillah, M. Wahid, Muhammad Fajar B, Abdul Wahid","doi":"10.35314/isi.v7i2.2439","DOIUrl":"https://doi.org/10.35314/isi.v7i2.2439","url":null,"abstract":"The problem of unemployment and poverty is a significant issue that the government have yet to address completely. The number of working-age people continues to rise, yet there are insufficient employment openings to meet demand. The government then provided extensive aid to the community. The Village Information System, part of the digitization system in Laguruda Village, Takalar Regency, comprises an integrated intelligent system that can forecast the eligibility of people who come to apply for a certificate of incapacity so that they are no longer inappropriate targets. The method employed is the Multi-Attribute Utility Theory (MAUT), based on 14 criteria set forth by the Ministry of Social Affairs. The results of a 49-person sample of household heads who identified themselves as poor and in need of assistance from the Ministry of Social Affairs revealed that 57.14% were in the mediocre category, 36.73% were in the rich category, 4.08% were in the poor category, and 2.04% were in the very poor category. This information demonstrates the system's ability to filter requests for poverty certifications. On the other hand, village officials were assisted in determining the right conditions for residents to be eligible for a poverty certificate","PeriodicalId":354905,"journal":{"name":"INOVTEK Polbeng - Seri Informatika","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124346773","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}
Kurniawan A. Saputra, M. A. Al Rasyid, Muh. Zen Samsono Hadi
Pipa adalah cara paling ekonomis dan paling aman dalam mendistribusikan hasil produk seperti air, petrokimia, gas, dan cairan lainnya. Terlepas dari manfaat tersebut, ternyata pipa memiliki ancaman yaitu potensi kebocoran. Artikel ini membahas pendeteksian kebocoran pipa air menggunakan parameter debit aliran. Pengujian dilakukan pada dua format dataset, menggunakan raw dataset dan process dataset menggunakan metode volume balance. Pada proses pembelajaran ada beberapa hal yang perlu disoroti seperti pemilihan tipe dataset, pre-processing dengan menormalisasi dataset, dan menerapkan metode fungsi kernel untuk meningkatkan kinerja akurasi prediksi ukuran dan lokasi kebocoran pipa. Dataset dilatih menggunakan algortima SVM untuk mengklasifikasikan ukuran dan lokasi kebocoran pipa. Hasil klasfikasi ukuran kebocoran dengan fungsi kernel polynomial pada raw dataset mencapai akurasi sebesar 98,25%, recall 99,1%, presisi 99,8%, dan F-measure 99,5%. Sedangkan fungsi kernel Radial Basis Function pada process dataset mencapai akurasi tertinggi sebesar 89,7%, recall 94,4%, presisi 95,4%, dan F-measure 94,6%. Dalam hal mengidentifkasikan lokasi kebocoran, fungsi kernel polynomial pada raw dataset meningkatkan akurasi sebesar 88,96%, recall 94,7%, presisi 91,5%, dan F-measure 92,8%. Sedangkan fungsi kernel polynomial pada process dataset mencapai akurasi sebesar 74,42%, recall 74,1%, presisi 72,8%, dan F-measure 71,3%.
{"title":"Deteksi Kebocoran Pipa Air Menggunakan Machine Learning dengan Jaringan Nirkabel IEEE 802.15.4","authors":"Kurniawan A. Saputra, M. A. Al Rasyid, Muh. Zen Samsono Hadi","doi":"10.35314/isi.v7i1.2360","DOIUrl":"https://doi.org/10.35314/isi.v7i1.2360","url":null,"abstract":"Pipa adalah cara paling ekonomis dan paling aman dalam mendistribusikan hasil produk seperti air, petrokimia, gas, dan cairan lainnya. Terlepas dari manfaat tersebut, ternyata pipa memiliki ancaman yaitu potensi kebocoran. Artikel ini membahas pendeteksian kebocoran pipa air menggunakan parameter debit aliran. Pengujian dilakukan pada dua format dataset, menggunakan raw dataset dan process dataset menggunakan metode volume balance. Pada proses pembelajaran ada beberapa hal yang perlu disoroti seperti pemilihan tipe dataset, pre-processing dengan menormalisasi dataset, dan menerapkan metode fungsi kernel untuk meningkatkan kinerja akurasi prediksi ukuran dan lokasi kebocoran pipa. Dataset dilatih menggunakan algortima SVM untuk mengklasifikasikan ukuran dan lokasi kebocoran pipa. Hasil klasfikasi ukuran kebocoran dengan fungsi kernel polynomial pada raw dataset mencapai akurasi sebesar 98,25%, recall 99,1%, presisi 99,8%, dan F-measure 99,5%. Sedangkan fungsi kernel Radial Basis Function pada process dataset mencapai akurasi tertinggi sebesar 89,7%, recall 94,4%, presisi 95,4%, dan F-measure 94,6%. Dalam hal mengidentifkasikan lokasi kebocoran, fungsi kernel polynomial pada raw dataset meningkatkan akurasi sebesar 88,96%, recall 94,7%, presisi 91,5%, dan F-measure 92,8%. Sedangkan fungsi kernel polynomial pada process dataset mencapai akurasi sebesar 74,42%, recall 74,1%, presisi 72,8%, dan F-measure 71,3%.","PeriodicalId":354905,"journal":{"name":"INOVTEK Polbeng - Seri Informatika","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127806093","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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