Pub Date : 2023-11-01DOI: 10.47577/technium.v17i.10119
None Husni, None Arif Muntasa, None Mochamad Dani Hartanto
The COVID-19 pandemic has resulted in significant changes in the education sector. The government issued a policy so that learning must be carried out online from home. This policy became a polemic for teachers and students so that pro and con opinions emerged on social media, especially Twitter. Sentiment analysis of public opinion is an interesting study. Standard classification algorithms such as k-Nearest neighbours, naïve bayes, decision tree, random forest, and support vector machine (SVM) can categorize these opinions in a short time with good accuracy. Many studies show that SVM is more accurate than all other classification methods. SVM works using kernels, including Linear, Polynomial and Radial Basis Functions (RBF) where each kernel requires different parameters. The linear kernel only requires one parameter, namely c (Cost). The RBF kernel requires 2 parameters, c and ɣ (gamma) while the Polynomial kernel uses 2 parameters, c and degrees. SVM does not have default values for these parameters and are based on experience and experimentation. The wider the range of parameters, the more likely the classifier obtains the optimal values. This study tries some parameters values of SVM kernels for text classification based on sentiment. Testing using 5-fold cross validation and confusion matrix show that SVM with a linear kernel provides the best performance with an accuracy of above 84%.
{"title":"Classification of Public Opinion on Online Learning Policies using Various Support Vector Machine’s Kernel","authors":"None Husni, None Arif Muntasa, None Mochamad Dani Hartanto","doi":"10.47577/technium.v17i.10119","DOIUrl":"https://doi.org/10.47577/technium.v17i.10119","url":null,"abstract":"The COVID-19 pandemic has resulted in significant changes in the education sector. The government issued a policy so that learning must be carried out online from home. This policy became a polemic for teachers and students so that pro and con opinions emerged on social media, especially Twitter. Sentiment analysis of public opinion is an interesting study. Standard classification algorithms such as k-Nearest neighbours, naïve bayes, decision tree, random forest, and support vector machine (SVM) can categorize these opinions in a short time with good accuracy. Many studies show that SVM is more accurate than all other classification methods. SVM works using kernels, including Linear, Polynomial and Radial Basis Functions (RBF) where each kernel requires different parameters. The linear kernel only requires one parameter, namely c (Cost). The RBF kernel requires 2 parameters, c and ɣ (gamma) while the Polynomial kernel uses 2 parameters, c and degrees. SVM does not have default values for these parameters and are based on experience and experimentation. The wider the range of parameters, the more likely the classifier obtains the optimal values. This study tries some parameters values of SVM kernels for text classification based on sentiment. Testing using 5-fold cross validation and confusion matrix show that SVM with a linear kernel provides the best performance with an accuracy of above 84%.","PeriodicalId":490649,"journal":{"name":"Technium","volume":"37 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135216666","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 : 2023-11-01DOI: 10.47577/technium.v17i.10066
None Asril l. Fabanyo, None Ivan Junaidy A. Karim, None Bambang Tjiroso
Casting using the sand-casting method is one of several methods in the metal casting process. The pouring temperature in the casting process is critical because it affects the casting results. This study aims to determine the effect of variations in pouring temperature on porosity defects in used aluminum metal castings and the impact of variations in pouring temperature on casting defects. The aluminum is melted and poured into the molds used are clay molds; In general, the mold is divided into two parts, namely the top (cup) and the bottom (drag), so that after the mold is finished, the melted aluminum is poured into the mold with variations in pouring temperature of 660˚C, 690C, and 720˚C. The method used is the observation method which is done by direct observation of the object of research. From the analysis of porosity defects data, the higher the casting temperature, the lower the porosity defects; a temperature of 660 C with a percentage value of 36.8%, a temperature of 690 C with a percentage value of 34.8%, and a temperature of 720˚C with a percentage value of 34.5%. This shows that casting temperature affects casting defects and porosity.
{"title":"Investigating the Effect of Pouring Temperature Variations on Casting Defects of Making Camshaft Covers for Yamaha Jupiter Motorcycles Using Sand Casting Method","authors":"None Asril l. Fabanyo, None Ivan Junaidy A. Karim, None Bambang Tjiroso","doi":"10.47577/technium.v17i.10066","DOIUrl":"https://doi.org/10.47577/technium.v17i.10066","url":null,"abstract":"Casting using the sand-casting method is one of several methods in the metal casting process. The pouring temperature in the casting process is critical because it affects the casting results. This study aims to determine the effect of variations in pouring temperature on porosity defects in used aluminum metal castings and the impact of variations in pouring temperature on casting defects. The aluminum is melted and poured into the molds used are clay molds; In general, the mold is divided into two parts, namely the top (cup) and the bottom (drag), so that after the mold is finished, the melted aluminum is poured into the mold with variations in pouring temperature of 660˚C, 690C, and 720˚C. The method used is the observation method which is done by direct observation of the object of research. From the analysis of porosity defects data, the higher the casting temperature, the lower the porosity defects; a temperature of 660 C with a percentage value of 36.8%, a temperature of 690 C with a percentage value of 34.8%, and a temperature of 720˚C with a percentage value of 34.5%. This shows that casting temperature affects casting defects and porosity.","PeriodicalId":490649,"journal":{"name":"Technium","volume":"178 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135217011","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 : 2023-11-01DOI: 10.47577/technium.v17i.10046
None Jeni Paressa, None Dina Limbong Pamuttu, None Siti Nur Indah Sari, None Dina Limbong Pamuttu, None Aring Wulandari
The increase in the number of residents in the city area due to urbanization and the rapid growth of the city's population itself causes many environmental problems, one of which is flooding. The drainage network becomes a vital infrastructure in the development of the city to be free from flood problems, especially in dense areas such as settlements or housing, which are increasingly densely populated every year. The purpose of this study is to examine whether the drainage network in the Berlian Simpati Blorep housing estate in the middle of Merauke City is able to accommodate flood discharge for the next few years. The methods used in this study are quantitative and qualitative, based on the results of the analysis. The results showed that with an existing channel capacity (Qs) of 0.097 m3/sec < the planned flood calculation discharge (Qr) of 13.657 m3/sec, the existing channel capacity was not able to function effectively with a 5-year recurrence period.
{"title":"Assessing the Performance of Urban Drainage Networks in Settlements as an Impact of Urbanization","authors":"None Jeni Paressa, None Dina Limbong Pamuttu, None Siti Nur Indah Sari, None Dina Limbong Pamuttu, None Aring Wulandari","doi":"10.47577/technium.v17i.10046","DOIUrl":"https://doi.org/10.47577/technium.v17i.10046","url":null,"abstract":"The increase in the number of residents in the city area due to urbanization and the rapid growth of the city's population itself causes many environmental problems, one of which is flooding. The drainage network becomes a vital infrastructure in the development of the city to be free from flood problems, especially in dense areas such as settlements or housing, which are increasingly densely populated every year. The purpose of this study is to examine whether the drainage network in the Berlian Simpati Blorep housing estate in the middle of Merauke City is able to accommodate flood discharge for the next few years. The methods used in this study are quantitative and qualitative, based on the results of the analysis. The results showed that with an existing channel capacity (Qs) of 0.097 m3/sec < the planned flood calculation discharge (Qr) of 13.657 m3/sec, the existing channel capacity was not able to function effectively with a 5-year recurrence period.","PeriodicalId":490649,"journal":{"name":"Technium","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135217037","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}
Friction welding as joining method has a good joining condition. The results of FSW welding have the advantage that the surface is smoother and flatter than the results of arc welding. Friction rotary welding includes several stages, namely material welding and microstructural analysis. In this study the material welding was used copper and aluminum alloy 1100 with sizes 60mm, 50mm, 0.5mm and macro structural analysis using a digital microscope. Experiments were carried out using lap joints with dimensions of 100mm, 50mm, 0.5mm with variations in loading parameters of 30kgf, 40kgf, 50kgf and variations in shoulder diameters of 4mm, 6mm, 8mm. In the experiment, the larger the diameter of the shoulder, the greater the loading required to connect the two materials, but if the loading is too large, it can cause defects in the welding results. The welding results at the welding pressure parameter of 40kgf with a shoulder diameter of 8mm show that welding with these parameters is capable of performing welding because the areas of the welding results are evenly connected and there are no holes (hooks) in the welding results. The results of welding at a welding pressure parameter of 50kgf with a shoulder diameter of 8mm show that the results of joining the copper and aluminum are mixed evenly but damage the surface of the copper. The macro structural results show that the welding pressure affects the shoulder diameter, if the welding pressure is too large and the shoulder diameter is too small it will only damage the copper and aluminum material because it only has a thickness of 0.5 mm, and vice versa if the welding pressure is too small and the shoulder diameter is too large, the two materials cannot be connected. In this study, the best results were obtained with a shoulder diameter of 4mm and a pressure of 40kgf because there were no defects or holes in the welding results.
{"title":"Development Of Dissimilar Micro Friction Stir Welding Copper With Alumniumum Plate","authors":"None Hakam Muzakki, None Teguh Prasetyo, None Ahmadi, None Ayub Brahma Kurnianto","doi":"10.47577/technium.v17i.10123","DOIUrl":"https://doi.org/10.47577/technium.v17i.10123","url":null,"abstract":"Friction welding as joining method has a good joining condition. The results of FSW welding have the advantage that the surface is smoother and flatter than the results of arc welding. Friction rotary welding includes several stages, namely material welding and microstructural analysis. In this study the material welding was used copper and aluminum alloy 1100 with sizes 60mm, 50mm, 0.5mm and macro structural analysis using a digital microscope. Experiments were carried out using lap joints with dimensions of 100mm, 50mm, 0.5mm with variations in loading parameters of 30kgf, 40kgf, 50kgf and variations in shoulder diameters of 4mm, 6mm, 8mm. In the experiment, the larger the diameter of the shoulder, the greater the loading required to connect the two materials, but if the loading is too large, it can cause defects in the welding results. The welding results at the welding pressure parameter of 40kgf with a shoulder diameter of 8mm show that welding with these parameters is capable of performing welding because the areas of the welding results are evenly connected and there are no holes (hooks) in the welding results. The results of welding at a welding pressure parameter of 50kgf with a shoulder diameter of 8mm show that the results of joining the copper and aluminum are mixed evenly but damage the surface of the copper. The macro structural results show that the welding pressure affects the shoulder diameter, if the welding pressure is too large and the shoulder diameter is too small it will only damage the copper and aluminum material because it only has a thickness of 0.5 mm, and vice versa if the welding pressure is too small and the shoulder diameter is too large, the two materials cannot be connected. In this study, the best results were obtained with a shoulder diameter of 4mm and a pressure of 40kgf because there were no defects or holes in the welding results.","PeriodicalId":490649,"journal":{"name":"Technium","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135161853","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}
This research aims to explore the potential of an artificial intelligence (AI) platform in revolutionizing education and evaluating student performance, with a specific focus on English learning. The study adopts a qualitative research method, employing a comprehensive literature review to gain insights into the role of AI in language education. The findings reveal that AI technology holds promise as a powerful tool for enhancing English learning among students. The discussion encompasses various studies supporting the use of AI-based applications, websites, Virtual Reality technology, and other AI-driven learning and teaching systems to improve students' English skills. However, the research acknowledges the limitation of not extensively examining the full extent of AI's role in students' English learning. As a suggestion for future research, further investigations are proposed to thoroughly assess the precise impact of AI in improving students' English proficiency.
{"title":"Personalized Pathways to Proficiency: Exploring the Synergy of Adaptive Learning and Artificial Intelligence in English Language Learning","authors":"None Martha Betaubun, None Desy Eva Laila Rokhmah, None Jarot Budiasto","doi":"10.47577/technium.v17i.10047","DOIUrl":"https://doi.org/10.47577/technium.v17i.10047","url":null,"abstract":"This research aims to explore the potential of an artificial intelligence (AI) platform in revolutionizing education and evaluating student performance, with a specific focus on English learning. The study adopts a qualitative research method, employing a comprehensive literature review to gain insights into the role of AI in language education. The findings reveal that AI technology holds promise as a powerful tool for enhancing English learning among students. The discussion encompasses various studies supporting the use of AI-based applications, websites, Virtual Reality technology, and other AI-driven learning and teaching systems to improve students' English skills. However, the research acknowledges the limitation of not extensively examining the full extent of AI's role in students' English learning. As a suggestion for future research, further investigations are proposed to thoroughly assess the precise impact of AI in improving students' English proficiency.","PeriodicalId":490649,"journal":{"name":"Technium","volume":"149 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135162027","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}
One of the world's fastest-growing food industries is aquaculture. As a result, aquaculture is a successful industry. Lack of care in the preparation of fish feed is a problem for this industry because it leads to the production of low-quality livestock.This study uses the Arduino microcontroller and ESP 8266 to create an automatic fish feeder that can be remotely controlled using a smartphone. Setting the fish's feeding routine is one way to exercise control. The test method used is the experimental method by conducting 5 times the scheduling time test and 10 times the feed weight measurement test.The test results shows that the tool can control a more regular fish feeding schedule. The percentage accuracy of the automatic fish feed scheduling test reaches 100%, while the percentage accuracy of the feed weight measurement test reaches 90%.
{"title":"Internet of Things Implementation in Automatic Fish Feeding","authors":"None Izak Habel Wayangkau, None Dedy Abdianto Nggego, None Chusnul Chotimah, None Nilfred Patawaran","doi":"10.47577/technium.v17i.10048","DOIUrl":"https://doi.org/10.47577/technium.v17i.10048","url":null,"abstract":"One of the world's fastest-growing food industries is aquaculture. As a result, aquaculture is a successful industry. Lack of care in the preparation of fish feed is a problem for this industry because it leads to the production of low-quality livestock.This study uses the Arduino microcontroller and ESP 8266 to create an automatic fish feeder that can be remotely controlled using a smartphone. Setting the fish's feeding routine is one way to exercise control. The test method used is the experimental method by conducting 5 times the scheduling time test and 10 times the feed weight measurement test.The test results shows that the tool can control a more regular fish feeding schedule. The percentage accuracy of the automatic fish feed scheduling test reaches 100%, while the percentage accuracy of the feed weight measurement test reaches 90%.","PeriodicalId":490649,"journal":{"name":"Technium","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135162029","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}
One of the geophysical techniques that may be used to define subsurface lithology is the geoelectric approach. The Schlumberger configuration's resistivity technique is used on the assumption that the distance between the potential electrodes is fixed. In contrast, the distance between the current electrodes progressively varies following the resistivity-to-depth curve and the resistivity table. This study aims to determine the lithology of the soil layer and the lithology of the soil layer that serves as an aquifer based on their respective resistivity values. The acquired data demonstrate the presence of multiple layers, including alluvium, sand, gravel, and andesite, in the subsurface lithology at two sites with a depth of 25 meters and a track length of 50 and 100 meters. Based on the resistivity curve to depth and the findings of data processing at the two data collecting sites, groundwater at location 1 (Gambesi Village) could not be identified in the resistivity table because of the location's hilly terrain and alluvial rock types. However, at location 2 (Sasa Village), groundwater was present at depths of 12.8 meters with thicknesses of 6.24 cm and 0.57 Ωm and at depths of 12.8 meters with thicknesses of 4.91 meters and 297 Ωm, respectively. This region slopes down from this position.
{"title":"Using the Geoelectric Method to Identify Groundwater Schlumberger Configuration Resistivity in the Gambesi and Sasa Villages, South Ternate District, North Maluku Province","authors":"None Hilda Alkatiri, None Arbi Haya, None Yusdi Akin","doi":"10.47577/technium.v17i.10064","DOIUrl":"https://doi.org/10.47577/technium.v17i.10064","url":null,"abstract":"One of the geophysical techniques that may be used to define subsurface lithology is the geoelectric approach. The Schlumberger configuration's resistivity technique is used on the assumption that the distance between the potential electrodes is fixed. In contrast, the distance between the current electrodes progressively varies following the resistivity-to-depth curve and the resistivity table. This study aims to determine the lithology of the soil layer and the lithology of the soil layer that serves as an aquifer based on their respective resistivity values. The acquired data demonstrate the presence of multiple layers, including alluvium, sand, gravel, and andesite, in the subsurface lithology at two sites with a depth of 25 meters and a track length of 50 and 100 meters. Based on the resistivity curve to depth and the findings of data processing at the two data collecting sites, groundwater at location 1 (Gambesi Village) could not be identified in the resistivity table because of the location's hilly terrain and alluvial rock types. However, at location 2 (Sasa Village), groundwater was present at depths of 12.8 meters with thicknesses of 6.24 cm and 0.57 Ωm and at depths of 12.8 meters with thicknesses of 4.91 meters and 297 Ωm, respectively. This region slopes down from this position.","PeriodicalId":490649,"journal":{"name":"Technium","volume":"147 1-3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135162031","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 : 2023-11-01DOI: 10.47577/technium.v17i.10059
None Andi Muhammad Ilyas, None Fahrizal Djohar, None Muhammad Natsir Rahman, None Ansar Suyuti, None Sri Mawar Said, None Indar Chaerah Gunadin, None Satriani Said Akhmad, None Yulinda Sakinah Munim, None Mukhlis Muslimin, None Tanridio Silviati Abdurrahman, None Zulaeha Mabud, None Ramly Rasyid, None Faris Syamsuddin, None Suparman Suparman, None Hafid Syaifuddin
Short-term electrical loads forecasting is one of the most important factors in the design and operation of electrical systems. The purpose of electric load forecasting is to balance electricity demand and electricity supply. The load characteristics of Ternate City vary, so this study uses the Optimally Pruned Extreme Learning Machine (OPELM) method to predict electrical loads. The advantages of OPELM are the fast-learning speed and the selection of the right model, even though the data has a non-linear pattern. The accuracy of the OPELM method can be determined using a comparison method, namely the ELM method. Mean Absolute Percentage Error (MAPE) is used as the accuracy criterion. The results of the comparison of accuracy criteria show that the predictive performance of OPELM is better than that of ELM. The minimum error average of the OPELM forecast test results shows a MAPE of 5,2557%, for Saturday's forecast, while the ELM method gives a MAPE of 6.4278% on the same day.
{"title":"Short-Term Electrical Load Forecasting of 150 kV Ternate System Using Optimally Pruned Extreme Learning Machine (OPELM)","authors":"None Andi Muhammad Ilyas, None Fahrizal Djohar, None Muhammad Natsir Rahman, None Ansar Suyuti, None Sri Mawar Said, None Indar Chaerah Gunadin, None Satriani Said Akhmad, None Yulinda Sakinah Munim, None Mukhlis Muslimin, None Tanridio Silviati Abdurrahman, None Zulaeha Mabud, None Ramly Rasyid, None Faris Syamsuddin, None Suparman Suparman, None Hafid Syaifuddin","doi":"10.47577/technium.v17i.10059","DOIUrl":"https://doi.org/10.47577/technium.v17i.10059","url":null,"abstract":"Short-term electrical loads forecasting is one of the most important factors in the design and operation of electrical systems. The purpose of electric load forecasting is to balance electricity demand and electricity supply. The load characteristics of Ternate City vary, so this study uses the Optimally Pruned Extreme Learning Machine (OPELM) method to predict electrical loads. The advantages of OPELM are the fast-learning speed and the selection of the right model, even though the data has a non-linear pattern. The accuracy of the OPELM method can be determined using a comparison method, namely the ELM method. Mean Absolute Percentage Error (MAPE) is used as the accuracy criterion. The results of the comparison of accuracy criteria show that the predictive performance of OPELM is better than that of ELM. The minimum error average of the OPELM forecast test results shows a MAPE of 5,2557%, for Saturday's forecast, while the ELM method gives a MAPE of 6.4278% on the same day.","PeriodicalId":490649,"journal":{"name":"Technium","volume":"153 1-3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135162274","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 : 2023-11-01DOI: 10.47577/technium.v17i.10088
None Janne Deivy Ticoh, None Nontje Sangi, None Ridwani, None Benjamin Limbong Tampang, None Muzaina
The process of distributing electricity from the substation to the consumers often occurs interference, electrical interference at the station caused by two factors that are internal factors and external factors. Internal factors such as lack of good equipment, while external factors such as human error and natural disturbances such as lightning, earthquakes, flood, wind and others. Safety protection system on electrical equipment of Pandu substation. Surge arresters play an important role in Pandu substations to limit switching overvoltages and lightning strikes, followed by overvoltages from lightning current to earth. the efficiency of the arrester is a function of the distance from its location to the protected equipment, the maximum system voltage achieved is 165 kilo vot, the arrester`s rated voltage is 132 kilo volt line impedance /conductor 475,764 ohms, air insulation breakdown voltage 1515.8 kilo voltv, arrester discharge current 4.27 kilo ampers and an optimal distance between arrester and transformer 10.96 meters.
{"title":"Lightning Arrester Analysis at Pandu 150 Kv Substation","authors":"None Janne Deivy Ticoh, None Nontje Sangi, None Ridwani, None Benjamin Limbong Tampang, None Muzaina","doi":"10.47577/technium.v17i.10088","DOIUrl":"https://doi.org/10.47577/technium.v17i.10088","url":null,"abstract":"The process of distributing electricity from the substation to the consumers often occurs interference, electrical interference at the station caused by two factors that are internal factors and external factors. Internal factors such as lack of good equipment, while external factors such as human error and natural disturbances such as lightning, earthquakes, flood, wind and others. Safety protection system on electrical equipment of Pandu substation. Surge arresters play an important role in Pandu substations to limit switching overvoltages and lightning strikes, followed by overvoltages from lightning current to earth. the efficiency of the arrester is a function of the distance from its location to the protected equipment, the maximum system voltage achieved is 165 kilo vot, the arrester`s rated voltage is 132 kilo volt line impedance /conductor 475,764 ohms, air insulation breakdown voltage 1515.8 kilo voltv, arrester discharge current 4.27 kilo ampers and an optimal distance between arrester and transformer 10.96 meters.","PeriodicalId":490649,"journal":{"name":"Technium","volume":"49 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135161718","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, with 2/3 of its territory being oceans, has the potential to have abundant natural resources in the form of salt. PT. XYZ is the only state-owned company that produces products salt start from process upstream until Downstream, with Wrong One product flagship is salt diet. The biggest challenge in Supply Chain Management at the company is capability compete in providing competitive prices so it is necessary to properly study the costs in the process of distribution and logistics do not charge much in the components of the Cost of Good sold . In study This discuss related determination router best with use method saving Matrix by comparing the Neasrest Insert and Nearest Neighbor algorithms , which is then carried out analysis using Fishbone Diagram in mapping the source of constraints in the distribution process and logistics that focus on 5M+1E elements. The results of this study can be determined by 4 shipping routes according to the Nearest Neighbor algorithm . Improvements to problems that arise in existing conditions can be carried out by adding tools and infrastructure to the loading process facilities, such as hand pallets, forklifts as well as the construction of a loading dock including SOPs that regulate and can be used to measure effectiveness process loading. Indonesia, with 2/3 of its territory being oceans, has the potential to have abundant natural resources in the form of salt. PT. XYZ is the only state-owned company that produces products salt start from process upstream until Downstream, with Wrong One product flagship is salt diet. The biggest challenge in Supply Chain Management at the company is capability compete in providing competitive prices so it is necessary to properly study the costs in the process of distribution and logistics do not charge much in the components of the Cost of Good sold . In study This discuss related determination router best with use method saving Matrix by comparing the Neasrest Insert and Nearest Neighbor algorithms , which is then carried out analysis using Fishbone Diagram in mapping the source of constraints in the distribution process and logistics that focus on 5M+1E elements. The results of this study can be determined by 4 shipping routes according to the Nearest Neighbor algorithm . Improvements to problems that arise in existing conditions can be carried out by adding tools and infrastructure to the loading process facilities, such as hand pallets, forklifts as well as the construction of a loading dock including SOPs that regulate and can be used to measure effectiveness process loading. Keywords : Salt, logistics, diagram fishbone, saving matrix, nearest insert, nearest neighbors.
{"title":"Integration of Saving Matrix-Fishbone as Monitoring of Logistics Route PT. XYZ","authors":"None Budyi Siswanto, None Sindy Nindia Maretha HarisTanti, None Nabila Dzatil Hidayah","doi":"10.47577/technium.v17i.10092","DOIUrl":"https://doi.org/10.47577/technium.v17i.10092","url":null,"abstract":"Indonesia, with 2/3 of its territory being oceans, has the potential to have abundant natural resources in the form of salt. PT. XYZ is the only state-owned company that produces products salt start from process upstream until Downstream, with Wrong One product flagship is salt diet. The biggest challenge in Supply Chain Management at the company is capability compete in providing competitive prices so it is necessary to properly study the costs in the process of distribution and logistics do not charge much in the components of the Cost of Good sold . In study This discuss related determination router best with use method saving Matrix by comparing the Neasrest Insert and Nearest Neighbor algorithms , which is then carried out analysis using Fishbone Diagram in mapping the source of constraints in the distribution process and logistics that focus on 5M+1E elements. The results of this study can be determined by 4 shipping routes according to the Nearest Neighbor algorithm . Improvements to problems that arise in existing conditions can be carried out by adding tools and infrastructure to the loading process facilities, such as hand pallets, forklifts as well as the construction of a loading dock including SOPs that regulate and can be used to measure effectiveness process loading. Indonesia, with 2/3 of its territory being oceans, has the potential to have abundant natural resources in the form of salt. PT. XYZ is the only state-owned company that produces products salt start from process upstream until Downstream, with Wrong One product flagship is salt diet. The biggest challenge in Supply Chain Management at the company is capability compete in providing competitive prices so it is necessary to properly study the costs in the process of distribution and logistics do not charge much in the components of the Cost of Good sold . In study This discuss related determination router best with use method saving Matrix by comparing the Neasrest Insert and Nearest Neighbor algorithms , which is then carried out analysis using Fishbone Diagram in mapping the source of constraints in the distribution process and logistics that focus on 5M+1E elements. The results of this study can be determined by 4 shipping routes according to the Nearest Neighbor algorithm . Improvements to problems that arise in existing conditions can be carried out by adding tools and infrastructure to the loading process facilities, such as hand pallets, forklifts as well as the construction of a loading dock including SOPs that regulate and can be used to measure effectiveness process loading. Keywords : Salt, logistics, diagram fishbone, saving matrix, nearest insert, nearest neighbors.","PeriodicalId":490649,"journal":{"name":"Technium","volume":"85 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135166998","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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