Pub Date : 2023-10-29DOI: 10.47577/technium.v16i.9971
None Kartini, None Fetty Tri Anggraeny, None Aang Kisnu Darmawan, None Anik Anekawati, None Ivana Yudhisari
Graduation rates indicate school success. Predicting student graduation helps schools identify students in danger of dropping out and intervene early to enhance academic performance. It can also assist policymakers create graduation and dropout prevention initiatives. However, based on a literature search, predicting student graduation rates from admission test scores is difficult. School grades are a better predictor of timely tertiary graduation than acceptance test scores because college success requires cognitive abilities and self-regulation competencies, which are better indexed by school grades. Self-efficacy, school academic culture, and future expectations can also affect student graduation rates. Finally, the selective admissions modality needs to be refined. This study aims to (1) predict private high school graduation with eight algorithms: Random tree, Naïve Bayes Multinomial, Support Vector Machine (SVM), Random forest (RF), K-Nearest Neighbor, Ada Boost, Multilayer perceptron, Logistic regression, and (2) compare the performance of the eight algorithms. According to research, the Random tree, Naïve Bayes Multinomial, Random forest (RF), and Ada boost algorithms all perform at 99.49% for the first aim. For the second objective, the Random Tree approach outperforms other algorithms in Accuracy (99.49%), Precision (100%), F-Measure (99.74%), and consumption time (0 seconds). Therefore, the Random tree algorithm outperforms others. This research contributes in two ways: scientifically by testing eight algorithms—Random tree, Naïve Bayes Multinomial, Support Vector Machine (SVM), Random forest (RF), K-Nearest Neighbor, Ada Boost, Multilayer perceptron, and Logistic regression—to predict private high school graduation, and secondly by recommending school administrators to develop a selective enrollment model.
{"title":"Early Prediction for Graduation of Private High School Students with Machine Learning Approach","authors":"None Kartini, None Fetty Tri Anggraeny, None Aang Kisnu Darmawan, None Anik Anekawati, None Ivana Yudhisari","doi":"10.47577/technium.v16i.9971","DOIUrl":"https://doi.org/10.47577/technium.v16i.9971","url":null,"abstract":"Graduation rates indicate school success. Predicting student graduation helps schools identify students in danger of dropping out and intervene early to enhance academic performance. It can also assist policymakers create graduation and dropout prevention initiatives. However, based on a literature search, predicting student graduation rates from admission test scores is difficult. School grades are a better predictor of timely tertiary graduation than acceptance test scores because college success requires cognitive abilities and self-regulation competencies, which are better indexed by school grades. Self-efficacy, school academic culture, and future expectations can also affect student graduation rates. Finally, the selective admissions modality needs to be refined. This study aims to (1) predict private high school graduation with eight algorithms: Random tree, Naïve Bayes Multinomial, Support Vector Machine (SVM), Random forest (RF), K-Nearest Neighbor, Ada Boost, Multilayer perceptron, Logistic regression, and (2) compare the performance of the eight algorithms. According to research, the Random tree, Naïve Bayes Multinomial, Random forest (RF), and Ada boost algorithms all perform at 99.49% for the first aim. For the second objective, the Random Tree approach outperforms other algorithms in Accuracy (99.49%), Precision (100%), F-Measure (99.74%), and consumption time (0 seconds). Therefore, the Random tree algorithm outperforms others. This research contributes in two ways: scientifically by testing eight algorithms—Random tree, Naïve Bayes Multinomial, Support Vector Machine (SVM), Random forest (RF), K-Nearest Neighbor, Ada Boost, Multilayer perceptron, and Logistic regression—to predict private high school graduation, and secondly by recommending school administrators to develop a selective enrollment model.","PeriodicalId":490649,"journal":{"name":"Technium","volume":"69 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136157809","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}
Reflexology on the feet is a traditional Chinese medicine (TCM) therapy method. Specifications that must be considered in the manufacture of electrostimulators for acupuncture therapy are waveform, intensity, frequency, and duration of therapy. Scientific studies have confirmed that TCM FB can promote microcirculation, improve skin permeability, and boost drug absorption. Based on data from research collected in the last five years, the method used for foot reflexology is TENS, FES, FNS, and the manufacture of reflexology cotton sandals. By looking at these significant results of the usage of foot stimulator, but it has not been supported by the development of a comprehensive foot reflexology device. Thus, the development of the FRRS device has the potential to become a non-invasive and non- pharmacological therapy device with several advantages in its usage using magnetic electrodes (magnetic plate electrodes), which are very effective at directing the flow of electrical energy to the body through the soles of the feet.
{"title":"A Mini Review: Preliminary Study of Bio-Medical Physics on Development of FRRS to Reduce Pain After Heavy Activities","authors":"None Primasari Cahya Wardhani, None Nur Aini Fauziyah, None Pardi Sampe Tola, None Zakiyah Dania Billah","doi":"10.47577/technium.v16i.10014","DOIUrl":"https://doi.org/10.47577/technium.v16i.10014","url":null,"abstract":"Reflexology on the feet is a traditional Chinese medicine (TCM) therapy method. Specifications that must be considered in the manufacture of electrostimulators for acupuncture therapy are waveform, intensity, frequency, and duration of therapy. Scientific studies have confirmed that TCM FB can promote microcirculation, improve skin permeability, and boost drug absorption. Based on data from research collected in the last five years, the method used for foot reflexology is TENS, FES, FNS, and the manufacture of reflexology cotton sandals. By looking at these significant results of the usage of foot stimulator, but it has not been supported by the development of a comprehensive foot reflexology device. Thus, the development of the FRRS device has the potential to become a non-invasive and non- pharmacological therapy device with several advantages in its usage using magnetic electrodes (magnetic plate electrodes), which are very effective at directing the flow of electrical energy to the body through the soles of the feet.","PeriodicalId":490649,"journal":{"name":"Technium","volume":"58 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":"136157814","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.10012
None Praditya S. A. Sitogasa, None Mohamad Mirwan, None Firra Rosariawari
The search for alternative and sustainable renewable energy sources has become necessary as the world faces growing concerns over climate change and depleting fossil fuel reserves. Biomass briquettes, derived from various organic materials, present a promising solution to this global energy crisis. This study explores the potential of utilizing tropical fruit, specifically durian (Durio zibethinus), as a renewable energy source by producing biomass briquettes. Durian is a widely cultivated tropical fruit, abundant in certain regions but often underutilized due to its strong aroma and perishability. By converting durian waste into biomass briquettes, we can address environmental challenges while creating a valuable energy resource that aligns with sustainability principles.
{"title":"Potential of Biomass Briquettes from Tropical Fruit Waste (Study Case: Durian Skin)","authors":"None Praditya S. A. Sitogasa, None Mohamad Mirwan, None Firra Rosariawari","doi":"10.47577/technium.v16i.10012","DOIUrl":"https://doi.org/10.47577/technium.v16i.10012","url":null,"abstract":"The search for alternative and sustainable renewable energy sources has become necessary as the world faces growing concerns over climate change and depleting fossil fuel reserves. Biomass briquettes, derived from various organic materials, present a promising solution to this global energy crisis. This study explores the potential of utilizing tropical fruit, specifically durian (Durio zibethinus), as a renewable energy source by producing biomass briquettes. Durian is a widely cultivated tropical fruit, abundant in certain regions but often underutilized due to its strong aroma and perishability. By converting durian waste into biomass briquettes, we can address environmental challenges while creating a valuable energy resource that aligns with sustainability principles.","PeriodicalId":490649,"journal":{"name":"Technium","volume":"27 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":"136135242","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.9995
None Muhammad Yusuf, None M Kautsar Sophan, None Aang Kisnu Darmawan, None Devie Rosa Anamisa, None Budi Dwi Satoto, None Nurwahyu Alamsyah
Indonesian Traditional Herbal Medicine Databases are crucial for maintaining indigenous knowledge bridging traditional medicine with modern healthcare and promoting evidencebased research These databases help identify therapeutic compounds and modernize traditional medicine practices However Traditional herbal medicine databases in Indonesia need to be improved in dissemination documentation safety quality and research on COVID19 This research aims to create SakeraHerbDB an integrated Indonesian Traditional Herbal Medicine Database for Madura Island botanicals The database will integrate traditional and modern medicine by combining traditional knowledge scientific facts and ecological factors The study reviews Indonesian traditional herbal medicine literature focusing on Madura Island botanicals Ethnobotanical research local knowledge holders and herbal medicine practitioners will collect data A structured database and data entry processes will be created for accuracy and consistency The database will have an easytouse interface This study produced six submissions for the Integrated Indonesian Traditional Herbal Medicine Database IITHMDB for Madura Islands herbs Use Case Diagram Database Attribute System Architecture Decision Tree Flowchart SakeraHerbDB Webbased application and Searching SakeraHerbDB with Decision Tree algorithm This research improves traditional knowledge integrates traditional and contemporary medicine advances herbal medicine research empowers local populations and promotes sustainable resource management SakeraHerbDB will unify data fill knowledge gaps and promote interdisciplinary collaboration The database will benefit healthcare workers researchers policymakers and innovators
{"title":"SakeraHerbDB Proposing an Integrated Indonesian Traditional Herbal Medicine Database IITHMDB for Madura Islands Herbs","authors":"None Muhammad Yusuf, None M Kautsar Sophan, None Aang Kisnu Darmawan, None Devie Rosa Anamisa, None Budi Dwi Satoto, None Nurwahyu Alamsyah","doi":"10.47577/technium.v16i.9995","DOIUrl":"https://doi.org/10.47577/technium.v16i.9995","url":null,"abstract":"Indonesian Traditional Herbal Medicine Databases are crucial for maintaining indigenous knowledge bridging traditional medicine with modern healthcare and promoting evidencebased research These databases help identify therapeutic compounds and modernize traditional medicine practices However Traditional herbal medicine databases in Indonesia need to be improved in dissemination documentation safety quality and research on COVID19 This research aims to create SakeraHerbDB an integrated Indonesian Traditional Herbal Medicine Database for Madura Island botanicals The database will integrate traditional and modern medicine by combining traditional knowledge scientific facts and ecological factors The study reviews Indonesian traditional herbal medicine literature focusing on Madura Island botanicals Ethnobotanical research local knowledge holders and herbal medicine practitioners will collect data A structured database and data entry processes will be created for accuracy and consistency The database will have an easytouse interface This study produced six submissions for the Integrated Indonesian Traditional Herbal Medicine Database IITHMDB for Madura Islands herbs Use Case Diagram Database Attribute System Architecture Decision Tree Flowchart SakeraHerbDB Webbased application and Searching SakeraHerbDB with Decision Tree algorithm This research improves traditional knowledge integrates traditional and contemporary medicine advances herbal medicine research empowers local populations and promotes sustainable resource management SakeraHerbDB will unify data fill knowledge gaps and promote interdisciplinary collaboration The database will benefit healthcare workers researchers policymakers and innovators","PeriodicalId":490649,"journal":{"name":"Technium","volume":"18 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136135397","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 K-Means clustering algorithm is a widely used technique for grouping data into clusters, with applications spanning various domains. This study presents a comparative investigation into the optimization of K-Means clustering through the evaluation of different optimization algorithms. The primary focus is on enhancing the convergence speed and computational efficiency of the K-Means algorithm, with implications for diverse real-world scenarios. The research systematically examines a range of optimization techniques, including gradient descent, stochastic gradient descent, and metaheuristic algorithms such as genetic algorithms and simulated annealing. A comprehensive analysis of convergence speed, clustering quality, and computational efficiency is conducted across these algorithms. By assessing their performance on diverse datasets, the study aims to provide insights into the trade-offs between different optimization strategies and their implications for practical clustering tasks. The results reveal distinct convergence patterns, highlighting the advantages and limitations of each optimization algorithm. Gradient-based approaches demonstrate rapid convergence but susceptibility to local optima, while stochastic gradient descent and metaheuristic algorithms exhibit a balance between exploration and exploitation. The findings shed light on the interplay between optimization techniques, convergence speed, and clustering quality, offering valuable guidance for practitioners seeking to optimize K-Means clustering according to specific dataset characteristics and computational requirements. This comparative study contributes to the broader understanding of optimizing K-Means clustering algorithms and aids researchers and practitioners in selecting suitable optimization strategies for efficient and effective data clustering in real-world applications.
{"title":"Optimizing K-Means Clustering: A Comparative Study of Optimization Algorithms For Convergence And Efficiency","authors":"None Alfiansyah Hasibuan, None Djubir R.E. Kembuan, None Vivi Peggie Rantung, None Medi Hermanto Tinambunan","doi":"10.47577/technium.v16i.9962","DOIUrl":"https://doi.org/10.47577/technium.v16i.9962","url":null,"abstract":"The K-Means clustering algorithm is a widely used technique for grouping data into clusters, with applications spanning various domains. This study presents a comparative investigation into the optimization of K-Means clustering through the evaluation of different optimization algorithms. The primary focus is on enhancing the convergence speed and computational efficiency of the K-Means algorithm, with implications for diverse real-world scenarios. The research systematically examines a range of optimization techniques, including gradient descent, stochastic gradient descent, and metaheuristic algorithms such as genetic algorithms and simulated annealing. A comprehensive analysis of convergence speed, clustering quality, and computational efficiency is conducted across these algorithms. By assessing their performance on diverse datasets, the study aims to provide insights into the trade-offs between different optimization strategies and their implications for practical clustering tasks. The results reveal distinct convergence patterns, highlighting the advantages and limitations of each optimization algorithm. Gradient-based approaches demonstrate rapid convergence but susceptibility to local optima, while stochastic gradient descent and metaheuristic algorithms exhibit a balance between exploration and exploitation. The findings shed light on the interplay between optimization techniques, convergence speed, and clustering quality, offering valuable guidance for practitioners seeking to optimize K-Means clustering according to specific dataset characteristics and computational requirements. This comparative study contributes to the broader understanding of optimizing K-Means clustering algorithms and aids researchers and practitioners in selecting suitable optimization strategies for efficient and effective data clustering in real-world applications.","PeriodicalId":490649,"journal":{"name":"Technium","volume":"51 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":"136135403","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.9951
None Muhammad Yusuf, None M Kautsar Sophan, None Budi Dwi Satoto, None Devie Rosa Anamisa, None Nurwahyu Alamsyah
Alang-alang village is one of the villages in Bangkalan, Madura, near the Suramadu bridge. This village has a vision to be a smart cyber village. However, the application of open data need to be explored, especially in the village area. We just found the implementation of the open data application in Wonosobo and Bantul. Therefore, researching implementing Open data applications at the village level is important. This study aims to capture the open data application 1.0 implementation for the Alang-Alang Village Government. It will explore the richness of the village open data implementation's success factors, challenges, and uniqueness. This research contributes by providing a lesson learned and a novel model for Village Open Data Implementation based on the case study of the Alang-alang village open data application. Moreover, this research also has some implications for knowledge and practice for other villages’ governments, researchers, practitioners, and village ministries worldwide, such as the implementation model can be adopted for other contexts and villages. In the body of knowledge, it develops a body of e-Government and smart village knowledge and research fields. Based on this case study, there are some success factors for village open data implementation: Vision and commitment of the village leader, regulation, people’s support and participation, infrastructure, and digital literacy.
{"title":"Village Open Data Implementation: Lesson Learned from Alang-alang Vilalge, Madura","authors":"None Muhammad Yusuf, None M Kautsar Sophan, None Budi Dwi Satoto, None Devie Rosa Anamisa, None Nurwahyu Alamsyah","doi":"10.47577/technium.v16i.9951","DOIUrl":"https://doi.org/10.47577/technium.v16i.9951","url":null,"abstract":"Alang-alang village is one of the villages in Bangkalan, Madura, near the Suramadu bridge. This village has a vision to be a smart cyber village. However, the application of open data need to be explored, especially in the village area. We just found the implementation of the open data application in Wonosobo and Bantul. Therefore, researching implementing Open data applications at the village level is important. This study aims to capture the open data application 1.0 implementation for the Alang-Alang Village Government. It will explore the richness of the village open data implementation's success factors, challenges, and uniqueness. This research contributes by providing a lesson learned and a novel model for Village Open Data Implementation based on the case study of the Alang-alang village open data application. Moreover, this research also has some implications for knowledge and practice for other villages’ governments, researchers, practitioners, and village ministries worldwide, such as the implementation model can be adopted for other contexts and villages. In the body of knowledge, it develops a body of e-Government and smart village knowledge and research fields. Based on this case study, there are some success factors for village open data implementation: Vision and commitment of the village leader, regulation, people’s support and participation, infrastructure, and digital literacy.","PeriodicalId":490649,"journal":{"name":"Technium","volume":"19 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":"136157210","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.9950
None Titisari Ramadhane, None Luthfi Ramadani, None Lukman Abdurrahman
The implementation of E-Government in Indonesia is expected to assist the government in providing services and changing relations with citizens, businesses, and other government agencies. To support the implementation of e-Government, one of the things that can be proposed is the determination of public value in public services. Public value can be defined as the value created by the government for citizens through the delivery of public services. In implementing the SPBE performance targets at the Jombang Regency Communication and Informatics Service, problems were found, including, the Regional Apparatus Organization (OPD) was still building its applications without coordinating, there were still many OPD applications that could not be integrated with other applications and it is still difficult to fulfil sectoral data in OPD, thus affecting the public value obtained by the people in Jombang Regency. The case study focus on assessment of the SiRinduNona website of the Department of Investment and Integrated One-Stop Services Jombang Regency based on the development public value-based E-Government maturity framework that has been made by researchers. The results of the maturity stage of The SiRinduNona website for Jombang Regency is included in stage 4, namely collaboration stage with a percentage of 73.14%.
{"title":"Development of Public Value Based E-Government Maturity Framework","authors":"None Titisari Ramadhane, None Luthfi Ramadani, None Lukman Abdurrahman","doi":"10.47577/technium.v16i.9950","DOIUrl":"https://doi.org/10.47577/technium.v16i.9950","url":null,"abstract":"The implementation of E-Government in Indonesia is expected to assist the government in providing services and changing relations with citizens, businesses, and other government agencies. To support the implementation of e-Government, one of the things that can be proposed is the determination of public value in public services. Public value can be defined as the value created by the government for citizens through the delivery of public services. In implementing the SPBE performance targets at the Jombang Regency Communication and Informatics Service, problems were found, including, the Regional Apparatus Organization (OPD) was still building its applications without coordinating, there were still many OPD applications that could not be integrated with other applications and it is still difficult to fulfil sectoral data in OPD, thus affecting the public value obtained by the people in Jombang Regency. The case study focus on assessment of the SiRinduNona website of the Department of Investment and Integrated One-Stop Services Jombang Regency based on the development public value-based E-Government maturity framework that has been made by researchers. The results of the maturity stage of The SiRinduNona website for Jombang Regency is included in stage 4, namely collaboration stage with a percentage of 73.14%.","PeriodicalId":490649,"journal":{"name":"Technium","volume":"6 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":"136158005","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}
Restaurant wastewater poses a significant environmental challenge, especially concerning the removal of oil and grease, which is known to be highly persistent. To tackle this issue, the research utilized a Lactobacillus bacteria consortium to effectively degrade oil and grease present in the wastewater. The Lactobacillus bacteria consortium was applied in an aerobic environment within the Grease Trap, while various treatment conditions, such as hydraulic retention time (HRT) and aeration rate, were evaluated to determine the optimal settings for the SBR. By employing this combined pre-treatment and SBR approach, distinct aerobic and anaerobic conditions were created, leading to significant removal of pollutant parameters by microorganisms. Remarkably, the study's findings demonstrated that at a 24-hour retention time and a 14 L/minute aeration rate, the Lactobacillus bacteria consortium achieved an impressive 97.42% removal of oil and grease, compared to only 84.54% removal by the Grease Trap without bacteria. The pretreatment of the Lactobacillus bacteria consortium led to even higher reductions in other pollutant parameters. By harnessing the power of the Lactobacillus bacteria consortium and employing the SBR in combination with pre-treatment, this approach holds great potential for addressing the persistent challenge of oil and grease removal in restaurant wastewater and improving overall water quality.
{"title":"Use of Lactobacillus Bacteria to Degrade Oil and Grease in Restaurant Wastewater","authors":"None Novirina Hendrasarie, None Syahrul Romadon, None RKH Putro, None Aussie A.","doi":"10.47577/technium.v16i.9974","DOIUrl":"https://doi.org/10.47577/technium.v16i.9974","url":null,"abstract":"Restaurant wastewater poses a significant environmental challenge, especially concerning the removal of oil and grease, which is known to be highly persistent. To tackle this issue, the research utilized a Lactobacillus bacteria consortium to effectively degrade oil and grease present in the wastewater. The Lactobacillus bacteria consortium was applied in an aerobic environment within the Grease Trap, while various treatment conditions, such as hydraulic retention time (HRT) and aeration rate, were evaluated to determine the optimal settings for the SBR. By employing this combined pre-treatment and SBR approach, distinct aerobic and anaerobic conditions were created, leading to significant removal of pollutant parameters by microorganisms. Remarkably, the study's findings demonstrated that at a 24-hour retention time and a 14 L/minute aeration rate, the Lactobacillus bacteria consortium achieved an impressive 97.42% removal of oil and grease, compared to only 84.54% removal by the Grease Trap without bacteria. The pretreatment of the Lactobacillus bacteria consortium led to even higher reductions in other pollutant parameters. By harnessing the power of the Lactobacillus bacteria consortium and employing the SBR in combination with pre-treatment, this approach holds great potential for addressing the persistent challenge of oil and grease removal in restaurant wastewater and improving overall water quality.","PeriodicalId":490649,"journal":{"name":"Technium","volume":"11 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136158106","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}
RESTFul API is an emerging technology that is used for communication between various applications or systems. RESTFul API is commonly used in the development of systems and applications. Various application, such as mobile, web, or desktop, are use RESTFul API to handle and compute business processes. Currently, Development of the RESTFul API is easier with the code generator tools and some approaches that will generate RESTful API application automatically. With that tools, developers more easier dan efficient when developing their applications. In this research, we try to create a new approach to create a RESTFul API code generator. This approach is based on the SQL DDL code in the SQL dump file as input. We use this approach because, in the initial phase of building a system, developers must provide their database structure before building their applications. With proposed approach, RESTFul API code generator is more effective and suitable with the developer's workflow. Based on testing result, The proposed approach can perform well for automatic generating code for RESTful API based on SQL DDL given. And provide basic functionality in RESTFul API such as create, read, update, and delete data.
{"title":"An Approach for Automatic Generating RESTFul API Code based on SQL DDL Code","authors":"None Fawwaz Ali Akbar, None Eka Prakarsa Mandyartha, None Hendra Maulana","doi":"10.47577/technium.v16i.9969","DOIUrl":"https://doi.org/10.47577/technium.v16i.9969","url":null,"abstract":"RESTFul API is an emerging technology that is used for communication between various applications or systems. RESTFul API is commonly used in the development of systems and applications. Various application, such as mobile, web, or desktop, are use RESTFul API to handle and compute business processes. Currently, Development of the RESTFul API is easier with the code generator tools and some approaches that will generate RESTful API application automatically. With that tools, developers more easier dan efficient when developing their applications. In this research, we try to create a new approach to create a RESTFul API code generator. This approach is based on the SQL DDL code in the SQL dump file as input. We use this approach because, in the initial phase of building a system, developers must provide their database structure before building their applications. With proposed approach, RESTFul API code generator is more effective and suitable with the developer's workflow. Based on testing result, The proposed approach can perform well for automatic generating code for RESTful API based on SQL DDL given. And provide basic functionality in RESTFul API such as create, read, update, and delete data.","PeriodicalId":490649,"journal":{"name":"Technium","volume":"68 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136158125","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.10010
None Desty Rara Retna Kalude, None Djubir Ruslan Eddy Kembuan, None Keith Francis Ratumbuisang
The impact of urban development is a change in the face of the city, with various building functions and heights building so that create its skyline Alone. City Manado showing exists growth city in a manner physique and non-physical so that the City of Manado has unknowingly changed the face of the city, especially in the regions Coast. Changes in the face of the city of Manado in the coastal area include changes to the skyline which was originally flat become more expressive when compared to other areas in the city of Manado. The city skyline can be an overview of what is most valued in a city, other than that the beauty of the skyline can only be enjoyed from long distance. Skyline beauty depends on observer perception and the physical form of the city. Research objectives namely to analyze the aesthetic quality of the skyline in the waterfront area of the city of Manado and analyze what factors are there Which shape it. Study This use method qualitative with approach descriptive analysis. The data analysis approach was carried out in a qualitative descriptive manner with the stages of segment division, analysis of the results recording, ground check and analysis of visual element variables. The results showed that: of the seven variables physique skyline aesthetic, only exists five variable which are contained on location study.
{"title":"Aesthetics Skylines in Manado","authors":"None Desty Rara Retna Kalude, None Djubir Ruslan Eddy Kembuan, None Keith Francis Ratumbuisang","doi":"10.47577/technium.v16i.10010","DOIUrl":"https://doi.org/10.47577/technium.v16i.10010","url":null,"abstract":"The impact of urban development is a change in the face of the city, with various building functions and heights building so that create its skyline Alone. City Manado showing exists growth city in a manner physique and non-physical so that the City of Manado has unknowingly changed the face of the city, especially in the regions Coast. Changes in the face of the city of Manado in the coastal area include changes to the skyline which was originally flat become more expressive when compared to other areas in the city of Manado. The city skyline can be an overview of what is most valued in a city, other than that the beauty of the skyline can only be enjoyed from long distance. Skyline beauty depends on observer perception and the physical form of the city. Research objectives namely to analyze the aesthetic quality of the skyline in the waterfront area of the city of Manado and analyze what factors are there Which shape it. Study This use method qualitative with approach descriptive analysis. The data analysis approach was carried out in a qualitative descriptive manner with the stages of segment division, analysis of the results recording, ground check and analysis of visual element variables. The results showed that: of the seven variables physique skyline aesthetic, only exists five variable which are contained on location study.","PeriodicalId":490649,"journal":{"name":"Technium","volume":"27 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136135391","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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