Corrosion can cause serious damage, such as a piece of equipment or a decrease in tool life. The materials used in an industry, its use can be seen in factory flow pipes that carry a substance, which is one of the factors causing corrosion. The aim of this research is to determine the performance of maja rind extract as an inhibitor of stainless steel and carbon steel corrosion rates, to determine the inhibition efficiency of maja rind extract in controlling the corrosion rate of stainless steel and carbon steel. Method use in this reasearch extraction and polarization. The best concentration in controlling the corrosion rate of SS 304 was obtained at 100 ppm with a corrosion rate of 0.00963 mpy, for SS 316 it was obtained at 100 ppm with a corrosion rate of 0.00521 mpy, while on steel plate it was obtained at 100 ppm with a corrosion rate of 0.00774 mpy. The best inhibitor efficiency on SS 304 can reach 97.6% with the best concentration of 100 ppm, on SS 316 it can reach 99.4% with the best concentration of 100 ppm, and on steel plate it can reach 98.84% with the best concentration of 100 ppm.
{"title":"The influence of addition maja fruit peel extract as inhibitor on the corrosion rate of stainless steel and carbon steel","authors":"None Sintha Soraya Santi, None Ika Nawang Puspitawati, None Kindriari Nurma Wahyusi, None Siti Mariyatul Azizah, None Kevin Nahila Wahyu Ranawijaya","doi":"10.47577/technium.v16i.10162","DOIUrl":"https://doi.org/10.47577/technium.v16i.10162","url":null,"abstract":"Corrosion can cause serious damage, such as a piece of equipment or a decrease in tool life. The materials used in an industry, its use can be seen in factory flow pipes that carry a substance, which is one of the factors causing corrosion. The aim of this research is to determine the performance of maja rind extract as an inhibitor of stainless steel and carbon steel corrosion rates, to determine the inhibition efficiency of maja rind extract in controlling the corrosion rate of stainless steel and carbon steel. Method use in this reasearch extraction and polarization. The best concentration in controlling the corrosion rate of SS 304 was obtained at 100 ppm with a corrosion rate of 0.00963 mpy, for SS 316 it was obtained at 100 ppm with a corrosion rate of 0.00521 mpy, while on steel plate it was obtained at 100 ppm with a corrosion rate of 0.00774 mpy. The best inhibitor efficiency on SS 304 can reach 97.6% with the best concentration of 100 ppm, on SS 316 it can reach 99.4% with the best concentration of 100 ppm, and on steel plate it can reach 98.84% with the best concentration of 100 ppm.","PeriodicalId":490649,"journal":{"name":"Technium","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135977758","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 : 2023-10-29DOI: 10.47577/technium.v16i.10016
None Restu Hikmah Ayu Murti, None Muhammad Abdus Salam Jawwad, None Syadzadhiya Qothrunada Zakiyayasin Nisa, None Rizka Novembrianto
The effective management of municipal solid waste is a persistent challenge within emerging nations. The observed phenomenon can be attributed to a multitude of reasons, encompassing swift economic growth, urban population development, garbage output, the substantial costs associated with waste treatment, and the design and functionality of containment systems. Methane, being the second most significant greenhouse gas following carbon dioxide, is prominently emitted into the environment by municipal solid waste dumps. This study use the IPCC model to assess the methane emissions generated by landfills. Additionally, Simapro 9.5 software is utilised in conjunction with the ReCiPe 2016 Midpoint approach to evaluate the corresponding environmental consequences. The Klotok landfill was found to generate the maximum quantity of methane, specifically 3.518 Mg CO2 eq, as determined by the composition analysis of paper waste. Additionally, the largest environmental impact was observed in the category of human toxicity carcinogenicity, as indicated by the life cycle assessment (LCA) analysis with a value of 3733.057.
{"title":"Environmental Impact Analysis of Methane Gas from Landfill using LCA in Klotok landfill, Kediri, East Java","authors":"None Restu Hikmah Ayu Murti, None Muhammad Abdus Salam Jawwad, None Syadzadhiya Qothrunada Zakiyayasin Nisa, None Rizka Novembrianto","doi":"10.47577/technium.v16i.10016","DOIUrl":"https://doi.org/10.47577/technium.v16i.10016","url":null,"abstract":"The effective management of municipal solid waste is a persistent challenge within emerging nations. The observed phenomenon can be attributed to a multitude of reasons, encompassing swift economic growth, urban population development, garbage output, the substantial costs associated with waste treatment, and the design and functionality of containment systems. Methane, being the second most significant greenhouse gas following carbon dioxide, is prominently emitted into the environment by municipal solid waste dumps. This study use the IPCC model to assess the methane emissions generated by landfills. Additionally, Simapro 9.5 software is utilised in conjunction with the ReCiPe 2016 Midpoint approach to evaluate the corresponding environmental consequences. The Klotok landfill was found to generate the maximum quantity of methane, specifically 3.518 Mg CO2 eq, as determined by the composition analysis of paper waste. Additionally, the largest environmental impact was observed in the category of human toxicity carcinogenicity, as indicated by the life cycle assessment (LCA) analysis with a value of 3733.057.","PeriodicalId":490649,"journal":{"name":"Technium","volume":"109 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136135394","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 : 2023-10-29DOI: 10.47577/technium.v16i.10031
None Maichel Santo W. Mita, None Atiza Nurhuzna, None Yohannes Putra P. Sinambela, None Reivandi Christal Joenso
The academic community's point of activity, the campus area, requires green open spaces to support its activities. The Musamus University campus area boasts 27 different types of scattered plants. A qualitative methodology was employed to identify the types and functions of vegetation in the Musamus University campus area, including data collection, vegetation mapping, diversity analysis, function identification, and data analysis. The research revealed that the Musamus campus area lacks vegetation, particularly in terms of shading, aesthetic, and guiding functions, although it does serve well as a noise dampener. Therefore, there is a need to increase the quantity of vegetation, especially those that provide shading, aesthetic, and guiding functions.
{"title":"Vegetation Function Analysis in Musamus University Campus Area","authors":"None Maichel Santo W. Mita, None Atiza Nurhuzna, None Yohannes Putra P. Sinambela, None Reivandi Christal Joenso","doi":"10.47577/technium.v16i.10031","DOIUrl":"https://doi.org/10.47577/technium.v16i.10031","url":null,"abstract":"The academic community's point of activity, the campus area, requires green open spaces to support its activities. The Musamus University campus area boasts 27 different types of scattered plants. A qualitative methodology was employed to identify the types and functions of vegetation in the Musamus University campus area, including data collection, vegetation mapping, diversity analysis, function identification, and data analysis. The research revealed that the Musamus campus area lacks vegetation, particularly in terms of shading, aesthetic, and guiding functions, although it does serve well as a noise dampener. Therefore, there is a need to increase the quantity of vegetation, especially those that provide shading, aesthetic, and guiding functions.","PeriodicalId":490649,"journal":{"name":"Technium","volume":"28 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136135396","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 : 2023-10-29DOI: 10.47577/technium.v16i.9952
None Annisa Khoerani, None Iskandar, None Ahmad Sofyan, None Tatang Sumarna, None Dewi Amalia, None Dewi Amalia, None Suherman Sulaiman
Peat is a unique type of soil because it has a very high organic matter content. One of the locations in Indonesia that has the most peat distribution is Palangkaraya City, Central Kalimantan. It is important to understand the characteristics of peat, especially in engineering applications. The characteristics of peat can be known based on laboratory testing, but in practice many tests are not carried out in accordance with the characteristics of the peat. In this paper, laboratory tests will be carried out based on the characteristics of the peat, with a focus on testing the physical and mechanical properties of the soil. Based on the results of the tests conducted, it can be concluded that the Palangkaraya peat is a fibrous hemic peat. The Palangkaraya peat has a water content of 639.5%, ash content of 3.25%, organic content of 96.75%, fiber content of 53.32%, pH of 3.2, content weight of 0.983 gr/cm3, specific gravity of 1.48, cohesion value of 0.138, and inner shear angle of 16.26°. The characteristics of this peat can provide an overview for researchers or the local government to make the best use of peatlands. Further research is needed to find out other aspects outside the engineering field to determine the characteristics of peat in Palangkaraya City, Central Kalimantan.
{"title":"Laboratory Testing-Based Characterization of Peat in Palangkaraya, Central Kalimantan","authors":"None Annisa Khoerani, None Iskandar, None Ahmad Sofyan, None Tatang Sumarna, None Dewi Amalia, None Dewi Amalia, None Suherman Sulaiman","doi":"10.47577/technium.v16i.9952","DOIUrl":"https://doi.org/10.47577/technium.v16i.9952","url":null,"abstract":"Peat is a unique type of soil because it has a very high organic matter content. One of the locations in Indonesia that has the most peat distribution is Palangkaraya City, Central Kalimantan. It is important to understand the characteristics of peat, especially in engineering applications. The characteristics of peat can be known based on laboratory testing, but in practice many tests are not carried out in accordance with the characteristics of the peat. In this paper, laboratory tests will be carried out based on the characteristics of the peat, with a focus on testing the physical and mechanical properties of the soil. Based on the results of the tests conducted, it can be concluded that the Palangkaraya peat is a fibrous hemic peat. The Palangkaraya peat has a water content of 639.5%, ash content of 3.25%, organic content of 96.75%, fiber content of 53.32%, pH of 3.2, content weight of 0.983 gr/cm3, specific gravity of 1.48, cohesion value of 0.138, and inner shear angle of 16.26°. The characteristics of this peat can provide an overview for researchers or the local government to make the best use of peatlands. Further research is needed to find out other aspects outside the engineering field to determine the characteristics of peat in Palangkaraya City, Central Kalimantan.","PeriodicalId":490649,"journal":{"name":"Technium","volume":"23 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136157978","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}
Educational Assistance needs to be a concern because currently the majority of students have the potential and ability but are constrained financially so this needs to be taken seriously by the government, currently, the government through the Ministry of Education has been trying to provide financial assistance in the form of scholarships including achievement improvement scholarships academic. Currently, to get a scholarship, each university certainly gets a limited quota. This is done to provide equal distribution of educational assistance, due to the large difference between the quota obtained and students who need assistance, so it is necessary to provide eligibility selection for students who are entitled to get scholarships. This study took sample data from the 2023 even semester scholarship list at Manado State University, especially in the Informatics Engineering Study Program, then normalized the data to use the SAW and PSI methods. After normalization, calculations were carried out using the SAW and PSI methods. predictions from the two methods will then be tested for the level of accuracy using the confusion matrix method. The result is that the SAW method has an accuracy rate of 98.13% and then the PSI accuracy rate is 97.24% based on the results of the prediction accuracy, the SAW method has a higher accuracy rate than PSI.
{"title":"Comparative Analysis of Prediction Results of Decision Support Systems Simple Additive Weighting Method with Preference Selection Index in Determining Scholarship Recipients","authors":"None Medi Hermanto Tinambunan, None Djubir R.E. Kembuan, None Vivi Peggie Rantung, None Alfiansyah Hasibuan","doi":"10.47577/technium.v16i.9965","DOIUrl":"https://doi.org/10.47577/technium.v16i.9965","url":null,"abstract":"Educational Assistance needs to be a concern because currently the majority of students have the potential and ability but are constrained financially so this needs to be taken seriously by the government, currently, the government through the Ministry of Education has been trying to provide financial assistance in the form of scholarships including achievement improvement scholarships academic. Currently, to get a scholarship, each university certainly gets a limited quota. This is done to provide equal distribution of educational assistance, due to the large difference between the quota obtained and students who need assistance, so it is necessary to provide eligibility selection for students who are entitled to get scholarships. This study took sample data from the 2023 even semester scholarship list at Manado State University, especially in the Informatics Engineering Study Program, then normalized the data to use the SAW and PSI methods. After normalization, calculations were carried out using the SAW and PSI methods. predictions from the two methods will then be tested for the level of accuracy using the confusion matrix method. The result is that the SAW method has an accuracy rate of 98.13% and then the PSI accuracy rate is 97.24% based on the results of the prediction accuracy, the SAW method has a higher accuracy rate than PSI.","PeriodicalId":490649,"journal":{"name":"Technium","volume":"25 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136157500","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}
Activated carbon is believed to reduce radiation from cell-phone because it has large pores. This study aims to synthesize a silica-carbon composite as a mobile phone casing using activated carbon from bamboo, coconut shells, and coal combined with silicone rubber. The addition of activated carbon is carried out in the range of 10 - 30 g. Activated carbon mixed with silicone rubber and stirred for 3 minutes at 150 rpm. Based on Digital Electromagnetic Radiation, the highest addition of activated carbon (30g) provides a high radiation reduction but has a small tensile strength and a large elongation value. SEM images show that the distribution of activated carbon 10 - 15 g is more homogeneous on the mobile phone casing.
{"title":"Effect of the Carbon Source on the Characteristics of Silica-carbon as a Handphone’s Case Material","authors":"None Srie Muljani, None Erwan Adi Saputro, None Kusuma Wardhani Mas’udah, None Syuaibatul Islamiyah","doi":"10.47577/technium.v16i.10028","DOIUrl":"https://doi.org/10.47577/technium.v16i.10028","url":null,"abstract":"Activated carbon is believed to reduce radiation from cell-phone because it has large pores. This study aims to synthesize a silica-carbon composite as a mobile phone casing using activated carbon from bamboo, coconut shells, and coal combined with silicone rubber. The addition of activated carbon is carried out in the range of 10 - 30 g. Activated carbon mixed with silicone rubber and stirred for 3 minutes at 150 rpm. Based on Digital Electromagnetic Radiation, the highest addition of activated carbon (30g) provides a high radiation reduction but has a small tensile strength and a large elongation value. SEM images show that the distribution of activated carbon 10 - 15 g is more homogeneous on the mobile phone casing.","PeriodicalId":490649,"journal":{"name":"Technium","volume":"7 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136157639","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 : 2023-10-29DOI: 10.47577/technium.v16i.9977
None Made Hanindia Prami Swari, None Dio Farrel Putra Rachmawan, None Chrystia Aji Putra
Sentiment analysis is widely used in cases of text processing and comments. One of the case studies is about the analysis of a hotel review by the public. The method used in analyzing a sentiment from comments or reviews of a hotel is the Naïve Bayes Classifier. One that can be used is the Multinomial Naïve Bayes method. In improving the results of the accuracy of the method required an optimization method. There are many optimization methods that can be applied to algorithms in sentiment analysis case studies. One well-known method is Particle Swarm Optimization (PSO). This study aims to determine the effect of PSO optimization on the Multinomial Naïve Bayes algorithm in the case of sentiment analysis. From the results of optimization and model testing, the highest accuracy was obtained in the Multinomial Naïve Bayes test with PSO optimization as hyperparameter tunning and feature selection of 97%.
{"title":"Multinomial Optimization of Naïve Bayes Through the Implementation of Particle Swarm Optimization","authors":"None Made Hanindia Prami Swari, None Dio Farrel Putra Rachmawan, None Chrystia Aji Putra","doi":"10.47577/technium.v16i.9977","DOIUrl":"https://doi.org/10.47577/technium.v16i.9977","url":null,"abstract":"Sentiment analysis is widely used in cases of text processing and comments. One of the case studies is about the analysis of a hotel review by the public. The method used in analyzing a sentiment from comments or reviews of a hotel is the Naïve Bayes Classifier. One that can be used is the Multinomial Naïve Bayes method. In improving the results of the accuracy of the method required an optimization method. There are many optimization methods that can be applied to algorithms in sentiment analysis case studies. One well-known method is Particle Swarm Optimization (PSO). This study aims to determine the effect of PSO optimization on the Multinomial Naïve Bayes algorithm in the case of sentiment analysis. From the results of optimization and model testing, the highest accuracy was obtained in the Multinomial Naïve Bayes test with PSO optimization as hyperparameter tunning and feature selection of 97%.","PeriodicalId":490649,"journal":{"name":"Technium","volume":"17 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136157651","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 : 2023-10-29DOI: 10.47577/technium.v16i.9973
None Yisti Vita Via, None Wahyu S. J. Saputra, None Mohammad Idham Fachrurrozi, None Eva Yulia Puspaningrum, None Fetty Tri Anggraeny, None Salamun Rohman Nudin
The BISINDO sign language is used to help deaf and mute people communicate with other people. However, not everyone is able to understand the meaning of this sign language. A system that implements artificial intelligence methods is created to solve this problem. The system uses a Convolution Neural Network algorithm with object localization techniques to detect and classify the alphabet in each form of the BISINDO finger signal. The Region Convolution Neural Network (RCNN) algorithm is used to process object localization and the CNN algorithm will perform classification process. This system is trained using 64 training data and tested using 16 test data for each type of alphabet. The results of the system testing that have been carried out are able to provide excellent accuracy values, which are above 90 percent for a training epoch of at least 50. These results produce an accuracy of 90.10% and 97.33% respectively.
{"title":"Object Localization and Detecting Alphabet in Sign Language BISINDO Using Convolution Neural Network","authors":"None Yisti Vita Via, None Wahyu S. J. Saputra, None Mohammad Idham Fachrurrozi, None Eva Yulia Puspaningrum, None Fetty Tri Anggraeny, None Salamun Rohman Nudin","doi":"10.47577/technium.v16i.9973","DOIUrl":"https://doi.org/10.47577/technium.v16i.9973","url":null,"abstract":"The BISINDO sign language is used to help deaf and mute people communicate with other people. However, not everyone is able to understand the meaning of this sign language. A system that implements artificial intelligence methods is created to solve this problem. The system uses a Convolution Neural Network algorithm with object localization techniques to detect and classify the alphabet in each form of the BISINDO finger signal. The Region Convolution Neural Network (RCNN) algorithm is used to process object localization and the CNN algorithm will perform classification process. This system is trained using 64 training data and tested using 16 test data for each type of alphabet. The results of the system testing that have been carried out are able to provide excellent accuracy values, which are above 90 percent for a training epoch of at least 50. These results produce an accuracy of 90.10% and 97.33% respectively.","PeriodicalId":490649,"journal":{"name":"Technium","volume":"30 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136158121","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 : 2023-10-29DOI: 10.47577/technium.v16i.9975
None Felly Ferol Warouw, None Sonny Davy Mailangkay, None Djubir Kembuan, None Telly Tangkere, None Lady Grace Jane Giroth
Sustainable development of the Manado Bay travel coast is essential. Tour coast is one of the foundations of sustainable tourism and has significantly aided in development. The standards of environmental sustainability for coastal tourism must be observed if development is to continue holding fast and providing its greatest contribution. must be planned using the accepted standards of sustainable development. Community participation plays a key role in determining if sustainable ecotourism development criteria are met. This study intends to categorise the city of Manado's coastal tourism patterns from a sustainable tourism development perspective. The research location was carried out on the coast of the Manado bay. Descriptive quantitative research is the methodology employed. According to the study's findings, there were various types of coast and beach. Manado Bay has a variety of tour types, including tours of the beach, the underwater world, culinary travel, and tourism trading. A draught application for sustainable tourism was identified and applied to four locations in a sequential manner with the help of the public. The findings of the study demonstrate that the tourist area dive, tour trade, tour beaches, and tour culinary are where the public's opinion of implementation indicators is most concerned. Understand the terms of the proposed tourist sustainability demonstration that is being held along the Manado Bay coast.
{"title":"Review of the Implementation of the Concept of Sustainable Tourism on the Manado Bay","authors":"None Felly Ferol Warouw, None Sonny Davy Mailangkay, None Djubir Kembuan, None Telly Tangkere, None Lady Grace Jane Giroth","doi":"10.47577/technium.v16i.9975","DOIUrl":"https://doi.org/10.47577/technium.v16i.9975","url":null,"abstract":"Sustainable development of the Manado Bay travel coast is essential. Tour coast is one of the foundations of sustainable tourism and has significantly aided in development. The standards of environmental sustainability for coastal tourism must be observed if development is to continue holding fast and providing its greatest contribution. must be planned using the accepted standards of sustainable development. Community participation plays a key role in determining if sustainable ecotourism development criteria are met. This study intends to categorise the city of Manado's coastal tourism patterns from a sustainable tourism development perspective. The research location was carried out on the coast of the Manado bay. Descriptive quantitative research is the methodology employed. According to the study's findings, there were various types of coast and beach. Manado Bay has a variety of tour types, including tours of the beach, the underwater world, culinary travel, and tourism trading. A draught application for sustainable tourism was identified and applied to four locations in a sequential manner with the help of the public. The findings of the study demonstrate that the tourist area dive, tour trade, tour beaches, and tour culinary are where the public's opinion of implementation indicators is most concerned. Understand the terms of the proposed tourist sustainability demonstration that is being held along the Manado Bay coast.","PeriodicalId":490649,"journal":{"name":"Technium","volume":"24 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136157498","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}
Indonesia consists of various regional tribes, where each tribe has cultural diversity and some even have their own regional letters, like Javanese tribe has Javanese characters. Javanese letters consist of 20 basic letters called Nglegena script. Subject about Javanese language is delivered to elementary student until now aims to preserve Indonesian culture especially the Javanese. In this study, we present two feature extraction methods are Local Binary Pattern (LBP) and Profile Projection (PP). Neural Network (NN) chosen as classifiers for classifying 20 javanese letters Nglegena. Some digital image processing processes are carried out, are image inversion, dilation, denoising and skeletoning. The Javanese script dataset is taken from the Kaggle database with the name Aksara Jawa: Aksara Jawa Custom Dataset, consists of 2154 train images and 480 test images. The experiment were carried out in two models, Projection Profile Histogram - Neural Network (PPH-NN) and Local Binary Pattern Histogram - Neural Network (LBPH-NN). The experiment show that both feature extraction methods have very good performance, 99.98% PPH-NN and 89.6% LBPH-NN on average.
印度尼西亚由不同的地区部落组成，每个部落都有文化多样性，有些部落甚至有自己的地区字母，如爪哇部落有爪哇文字。爪哇字母由20个基本字母组成，称为Nglegena脚本。迄今为止，关于爪哇语的课程都是教给小学生的，目的是保护印尼文化，尤其是爪哇文化。在本研究中，我们提出了两种特征提取方法:局部二值模式(LBP)和轮廓投影(PP)。选择神经网络作为分类器对20个爪哇字母Nglegena进行分类。进行了一些数字图像处理过程，即图像的反转、扩张、去噪和骨架化。爪哇脚本数据集取自Kaggle数据库，名称为Aksara Jawa: Aksara Jawa自定义数据集，由2154张火车图像和480张测试图像组成。实验采用投影轮廓直方图-神经网络(PPH-NN)和局部二值模式直方图-神经网络(LBPH-NN)两种模型进行。实验结果表明，两种特征提取方法都具有很好的提取效果，PPH-NN的平均提取率为99.98%，LBPH-NN的平均提取率为89.6%。
{"title":"Neural Network Classification in Javanese Handwriting Recognition using Projection Profile Histogram and Local Binary Pattern Histogram","authors":"None Fetty Tri Anggraeny, None Yisti Vita Via, None Retno Mumpuni, None Heliza Rahmania Hatta, None Narti Eka Putri, None Joni Bastian","doi":"10.47577/technium.v16i.9970","DOIUrl":"https://doi.org/10.47577/technium.v16i.9970","url":null,"abstract":"Indonesia consists of various regional tribes, where each tribe has cultural diversity and some even have their own regional letters, like Javanese tribe has Javanese characters. Javanese letters consist of 20 basic letters called Nglegena script. Subject about Javanese language is delivered to elementary student until now aims to preserve Indonesian culture especially the Javanese. In this study, we present two feature extraction methods are Local Binary Pattern (LBP) and Profile Projection (PP). Neural Network (NN) chosen as classifiers for classifying 20 javanese letters Nglegena. Some digital image processing processes are carried out, are image inversion, dilation, denoising and skeletoning. The Javanese script dataset is taken from the Kaggle database with the name Aksara Jawa: Aksara Jawa Custom Dataset, consists of 2154 train images and 480 test images. The experiment were carried out in two models, Projection Profile Histogram - Neural Network (PPH-NN) and Local Binary Pattern Histogram - Neural Network (LBPH-NN). The experiment show that both feature extraction methods have very good performance, 99.98% PPH-NN and 89.6% LBPH-NN on average.","PeriodicalId":490649,"journal":{"name":"Technium","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136157807","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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