During the pandemic period at the beginning of 2020, the effects are still felt until now. All schools in Indonesia may even be closed for almost 2 (two) semesters. At times like this, every teacher inevitably is required to use E-learning without face-to-face with students. The use of various media such as Whatsapp, Zoom, Google meet and Clasromm ect is very helpful for teachers and students. In this phenomenon, we conducted research using the ADDIE Model (Analysis, Design, Development, Implementation, Evaluation) on PHP-based e-learning that we designed and created, to support the government movement that still implements distance learning more easily. With the E-Learning Application that has been created, it is very helpful for teachers, students and administrative staff in data management, especially for online learning (on the network) during this pandemic period. This PHP-based E-Learning application can be a choice of E-Learning media for schools that are still unable to do face-to-face learning directly.
在2020年初的大流行期间，其影响直到现在仍然存在。印度尼西亚的所有学校甚至可能关闭近两个学期。在这种情况下，每个教师都不可避免地需要使用电子学习，而无需与学生面对面交流。使用各种媒体，如Whatsapp, Zoom, Google meet和classromm等，对老师和学生都很有帮助。在这种现象中，我们使用ADDIE模型(分析、设计、开发、实施、评估)对我们设计和创建的基于php的电子学习进行了研究，以支持政府更容易实施远程学习的运动。通过创建的电子学习应用程序，它对教师、学生和行政人员的数据管理非常有帮助，特别是在疫情期间的在线学习(网络上)。这款基于php的E-Learning应用程序可以成为目前还不能直接面对面学习的学校的E-Learning媒体的选择。
{"title":"IMPLEMENTATION OF THE ADDIE MODEL (ANALYSIS, DESIGN, DEVELOPMENT, IMPLEMENTATION, EVALUATION) IN PHP-BASED E-LEARNING IN THE ERA OF PANDEMIC","authors":"M. Rusdi, H. Sirajuddin, Rina Alfah","doi":"10.20527/jtiulm.v7i1.74","DOIUrl":"https://doi.org/10.20527/jtiulm.v7i1.74","url":null,"abstract":"During the pandemic period at the beginning of 2020, the effects are still felt until now. All schools in Indonesia may even be closed for almost 2 (two) semesters. At times like this, every teacher inevitably is required to use E-learning without face-to-face with students. The use of various media such as Whatsapp, Zoom, Google meet and Clasromm ect is very helpful for teachers and students. In this phenomenon, we conducted research using the ADDIE Model (Analysis, Design, Development, Implementation, Evaluation) on PHP-based e-learning that we designed and created, to support the government movement that still implements distance learning more easily. With the E-Learning Application that has been created, it is very helpful for teachers, students and administrative staff in data management, especially for online learning (on the network) during this pandemic period. This PHP-based E-Learning application can be a choice of E-Learning media for schools that are still unable to do face-to-face learning directly.","PeriodicalId":330464,"journal":{"name":"Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122321770","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 : 2022-04-30DOI: 10.20527/jtiulm.v7i1.116
Windy Andhika Putra, M. Alfarisi, Gita Hapsari, Periyadi
The Baby Body Length Measurement System with Machine Learning methods and Open CV library is a system designed to make it easier for Posyandu officers to take measurements of the baby's body length, where this system will measure the baby's body length using a camera, and assisted with library image processing, namely, Open CV, and to measure the length of the baby's body using Machine Learning, namely the Linear Regression method, and the measurement data will be sent to a Web application so that the baby's mother can monitor the growth and development of her baby, The system that was built has an average error of -1,42 in the condition of the lamp with a power of 40Watt and in the light of a lamp with a power of 11Watt the average error is found with a value of -15,37 and at a distance of 64 cm the system can detect objects and measure the length of the object with an average measurement error of -10,6.
{"title":"MEASURING BABY’S BODY LENGTH UTILIZING IMAGE PROCESSING","authors":"Windy Andhika Putra, M. Alfarisi, Gita Hapsari, Periyadi","doi":"10.20527/jtiulm.v7i1.116","DOIUrl":"https://doi.org/10.20527/jtiulm.v7i1.116","url":null,"abstract":"The Baby Body Length Measurement System with Machine Learning methods and Open CV library is a system designed to make it easier for Posyandu officers to take measurements of the baby's body length, where this system will measure the baby's body length using a camera, and assisted with library image processing, namely, Open CV, and to measure the length of the baby's body using Machine Learning, namely the Linear Regression method, and the measurement data will be sent to a Web application so that the baby's mother can monitor the growth and development of her baby, The system that was built has an average error of -1,42 in the condition of the lamp with a power of 40Watt and in the light of a lamp with a power of 11Watt the average error is found with a value of -15,37 and at a distance of 64 cm the system can detect objects and measure the length of the object with an average measurement error of -10,6.","PeriodicalId":330464,"journal":{"name":"Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116375253","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 : 2022-04-30DOI: 10.20527/jtiulm.v7i1.120
Mina Rofida Rahmatina, Chanifah Indah Ratnasari
The Kapustakan System is a digital collection management system for the Keraton Ngayogyakarta Hadiningrat. The Kapustakan System is being developed to present various museum collections in digital representation, facilitating access to knowledge search, cross-referencing, and encouraging research. This system needs an interface design that takes into account both the User Interface (UI) and the User Experience (UX) to make users feel comfortable when they use it. This paper describes the UI/UX design process for the Kapustakan System using the user-centred Design (UCD) method, which consists of five stages: planning the human-centred design, specifying the context of use, specifying user and organizational requirements, producing design solutions, and evaluating designs against user requirements. The UCD method focuses on the direct involvement of prospective users so that they can influence the design results that meet their needs and desires. The result of this research is a prototype design of the Kapustakan System that has been validated through usability testing of potential users. The parameters tested in usability testing are success rate, efficiency, error rate, and satisfaction. The test's success rate is 93.75%, its efficiency is 90.27%, its error rate is 3.73%, and its satisfaction is 86.25.
{"title":"USER INTERFACE AND USER EXPERIENCE DESIGNING IN THE KAPUSTAKAN SYSTEM USING USER CENTRED DESIGN APPROACH (CASE STUDY: KERATON NGAYOGYAKARTA HADININGRAT)","authors":"Mina Rofida Rahmatina, Chanifah Indah Ratnasari","doi":"10.20527/jtiulm.v7i1.120","DOIUrl":"https://doi.org/10.20527/jtiulm.v7i1.120","url":null,"abstract":"The Kapustakan System is a digital collection management system for the Keraton Ngayogyakarta Hadiningrat. The Kapustakan System is being developed to present various museum collections in digital representation, facilitating access to knowledge search, cross-referencing, and encouraging research. This system needs an interface design that takes into account both the User Interface (UI) and the User Experience (UX) to make users feel comfortable when they use it. This paper describes the UI/UX design process for the Kapustakan System using the user-centred Design (UCD) method, which consists of five stages: planning the human-centred design, specifying the context of use, specifying user and organizational requirements, producing design solutions, and evaluating designs against user requirements. The UCD method focuses on the direct involvement of prospective users so that they can influence the design results that meet their needs and desires. The result of this research is a prototype design of the Kapustakan System that has been validated through usability testing of potential users. The parameters tested in usability testing are success rate, efficiency, error rate, and satisfaction. The test's success rate is 93.75%, its efficiency is 90.27%, its error rate is 3.73%, and its satisfaction is 86.25.","PeriodicalId":330464,"journal":{"name":"Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133727741","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 : 2022-04-30DOI: 10.20527/jtiulm.v7i1.128
A. F. Zulkarnain, Eka Setya Wijaya, Triana Rifkah
The E-Samsat application uses the Technology Acceptance Model (TAM) method to find out how the attitudes of users, the response of the Banjarmasin community in paying motor vehicle taxes with the E-Samsat application or manually and using the Importance Performance Analysis (IPA) method to provide an assessment of service and use of E-Samsat. using the Cartesian quadrant. This study uses a questionnaire to obtain data. Questionnaires were distributed to the people of Banjarmasin City and people who paid motor vehicle taxes at the Banjarmasin II Samsat Office. From the results of the analysis based on the TAM method with user attitudes. The Importance Performance Analysis (IPA) method lies in which quadrant the statement items have been answered by the respondent.
{"title":"EVALUATION OF MOBILE-BASED E-SAMSAT SYSTEM SERVICES IN BANJARMASIN CITY WITH METHOD TECHNOLOGY ACCEPTANCE MODEL AND IMPORTANCE PERFORMANCE ANALYSIS","authors":"A. F. Zulkarnain, Eka Setya Wijaya, Triana Rifkah","doi":"10.20527/jtiulm.v7i1.128","DOIUrl":"https://doi.org/10.20527/jtiulm.v7i1.128","url":null,"abstract":"The E-Samsat application uses the Technology Acceptance Model (TAM) method to find out how the attitudes of users, the response of the Banjarmasin community in paying motor vehicle taxes with the E-Samsat application or manually and using the Importance Performance Analysis (IPA) method to provide an assessment of service and use of E-Samsat. using the Cartesian quadrant. This study uses a questionnaire to obtain data. Questionnaires were distributed to the people of Banjarmasin City and people who paid motor vehicle taxes at the Banjarmasin II Samsat Office. From the results of the analysis based on the TAM method with user attitudes. The Importance Performance Analysis (IPA) method lies in which quadrant the statement items have been answered by the respondent.","PeriodicalId":330464,"journal":{"name":"Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126401793","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 : 2022-04-30DOI: 10.20527/jtiulm.v7i1.119
Dicky Hariyanto, Ricki Sastra, Dany Ardyanto
A lease is an agreement in which a payment is made for the temporary use of an item or property by another person. Berkah Bersama Motor is a business engaged in the service sector. However, in the data collection process at Berkah Bersama Motor, they still use manual processes such as recording customer personal data in books. In this research, the software development method used is the Waterfall method. Waterfall has the advantage that it can produce a fast and quality system so it was chosen in this study. The result of this web-based motorcycle rental management and service design program is that it can simplify the process of collecting customer personal data so as to reduce the risk of data loss because the storage media is still recorded in the book.
租赁是另一个人暂时使用某一物品或财产而支付费用的协议。Berkah Bersama Motor是一家从事服务业的企业。然而，在Berkah Bersama Motor的数据收集过程中，他们仍然使用手动流程，例如将客户个人数据记录在书籍中。在本研究中，使用的软件开发方法是瀑布法。瀑布有优势，它可以产生一个快速和高质量的系统，所以它被选择在本研究。这个基于web的摩托车租赁管理服务设计方案的结果是，它可以简化收集客户个人数据的过程，从而减少由于存储介质仍然记录在账簿上而导致数据丢失的风险。
{"title":"WATERFALL METHOD IN WEBSITE-BASED MOTORCYCLE RENT INFORMATION SYSTEM DESIGN AND SERVICES","authors":"Dicky Hariyanto, Ricki Sastra, Dany Ardyanto","doi":"10.20527/jtiulm.v7i1.119","DOIUrl":"https://doi.org/10.20527/jtiulm.v7i1.119","url":null,"abstract":"A lease is an agreement in which a payment is made for the temporary use of an item or property by another person. Berkah Bersama Motor is a business engaged in the service sector. However, in the data collection process at Berkah Bersama Motor, they still use manual processes such as recording customer personal data in books. In this research, the software development method used is the Waterfall method. Waterfall has the advantage that it can produce a fast and quality system so it was chosen in this study. The result of this web-based motorcycle rental management and service design program is that it can simplify the process of collecting customer personal data so as to reduce the risk of data loss because the storage media is still recorded in the book.","PeriodicalId":330464,"journal":{"name":"Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115474282","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}
Crowds of people are the government's concern in dealing with the COVID-19 pandemic because the virus transfers unwittingly from one person to another and transmits it to the closest environment. One of the locations where crowds are difficult to avoid is a traditional market and is thought to be one of the places that have the potential to become the center of the spread of COVID-19. Various efforts made by the government in suppressing crowds have yielded results, but not a few violations that occur are carried out intentionally or unintentionally, one of the efforts to prevent crowd violations is the traditional market visitor detection monitoring system by market management so that market visitors do not violate health protocols and crowds that occur in an area can be avoided. In this study, an IoT-based crowd detection system application prototype uses an RFID sensor MFRC522 as a crowd indicator based on data on the number of visitors entering a kiosk that is recorded in the database and then displayed on the application, this data becomes an indicator of which kiosk other visitors want to go to so that the crowd can be avoided. System functionality testing was carried out with 4 scenarios and system reliability testing through data transmission was carried out 10 times with test data in the form of kiosk id and visitor id sent via a single Transmission Control Protocol (TCP) with a full-duplex communication channel. The test results show that crowd indications can be detected in the application with data transmission speeds reaching 875 KB/s with an average delay of 231.4 ms and a standard deviation of 215 ± 313 ms.
{"title":"PROTOTYPE APPLICATION OF CROWD DETECTION SYSTEM FOR TRADITIONAL MARKET VISITOR BASED ON IOT USING RFID MFRC522","authors":"Wirmanto Suteddy, Dastin Aryo Atmanto, Rizki Nuriman, Afila Ansori","doi":"10.20527/jtiulm.v7i1.117","DOIUrl":"https://doi.org/10.20527/jtiulm.v7i1.117","url":null,"abstract":"Crowds of people are the government's concern in dealing with the COVID-19 pandemic because the virus transfers unwittingly from one person to another and transmits it to the closest environment. One of the locations where crowds are difficult to avoid is a traditional market and is thought to be one of the places that have the potential to become the center of the spread of COVID-19. Various efforts made by the government in suppressing crowds have yielded results, but not a few violations that occur are carried out intentionally or unintentionally, one of the efforts to prevent crowd violations is the traditional market visitor detection monitoring system by market management so that market visitors do not violate health protocols and crowds that occur in an area can be avoided. In this study, an IoT-based crowd detection system application prototype uses an RFID sensor MFRC522 as a crowd indicator based on data on the number of visitors entering a kiosk that is recorded in the database and then displayed on the application, this data becomes an indicator of which kiosk other visitors want to go to so that the crowd can be avoided. System functionality testing was carried out with 4 scenarios and system reliability testing through data transmission was carried out 10 times with test data in the form of kiosk id and visitor id sent via a single Transmission Control Protocol (TCP) with a full-duplex communication channel. The test results show that crowd indications can be detected in the application with data transmission speeds reaching 875 KB/s with an average delay of 231.4 ms and a standard deviation of 215 ± 313 ms.","PeriodicalId":330464,"journal":{"name":"Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123344568","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}
Practicum is one of the activities that are part of the curriculum in universities. The role of a practicum assistant is needed to support practicum activities. Practicum assistants is a selected through a selection process. The selection of practicum assistants at the Faculty of Mathematics dan Natural Science (FMIPA), Halu Oleo University, to be precise the department of Chemistry, is still done through a manual process. The problem faced in the selection process is that each lecturer determines the ranks of the selected practicum assistants sequentially, from the first practicum supervisor lecturer to the last, which takes a long time and subjective assessment is unavoidable. Then from that problem, it is necessary to develop a computerized system as a supporting media in decision-making to facilitate selecting practicum assistants. The Additive Ratio Assessment (ARAS) and Technique For Others Reference By Similarity To Ideal Solution (TOPSIS) method applicated to compare the results of the two ways. The results of the comparison of the two methods show that TOPSIS provides a higher accuracy value of 50%, while the accuracy value of the ARAS method is 44%, but from testing the speed of processing data, the ARAS method is faster than the TOPSIS method.
{"title":"METHODS COMPARISON OF ARAS AND TOPSIS FOR DETERMINING THE BEST PRACTICUM ASSISTANT (CASE STUDY CHEMICAL LABORATORY DEPARTMENT OF FMIPA UHO)","authors":"Statiswaty, Ayu Pratiwi, Natalis Ransi","doi":"10.20527/jtiulm.v7i1.93","DOIUrl":"https://doi.org/10.20527/jtiulm.v7i1.93","url":null,"abstract":"Practicum is one of the activities that are part of the curriculum in universities. The role of a practicum assistant is needed to support practicum activities. Practicum assistants is a selected through a selection process. The selection of practicum assistants at the Faculty of Mathematics dan Natural Science (FMIPA), Halu Oleo University, to be precise the department of Chemistry, is still done through a manual process. The problem faced in the selection process is that each lecturer determines the ranks of the selected practicum assistants sequentially, from the first practicum supervisor lecturer to the last, which takes a long time and subjective assessment is unavoidable. Then from that problem, it is necessary to develop a computerized system as a supporting media in decision-making to facilitate selecting practicum assistants. The Additive Ratio Assessment (ARAS) and Technique For Others Reference By Similarity To Ideal Solution (TOPSIS) method applicated to compare the results of the two ways. The results of the comparison of the two methods show that TOPSIS provides a higher accuracy value of 50%, while the accuracy value of the ARAS method is 44%, but from testing the speed of processing data, the ARAS method is faster than the TOPSIS method.","PeriodicalId":330464,"journal":{"name":"Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130051213","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 : 2022-04-30DOI: 10.20527/jtiulm.v7i1.100
Mohammed Azman, Nur Nafi’iyah
Research related to the recognition of fruit types has been done previously. Research related to the recognition of many types of fruit applies computer vision and artificial intelligence. The purpose of this research is to apply artificial intelligence science with the KNN method to identify the type of fruit. The KNN method has a good performance in previous studies. We tried to use KNN by determining the most optimal K value. There are five types of fruit images used in this study, namely Apples, Grapes, Oranges, Mangoes, and Strawberries. The fruit image is extracted with colour, texture, and shape features with a total of 15 features, namely the average value of R, the average value of G, the average value of B, the value of skewness R, the value of skewness G, the value of skewness B, the value of grayscale entropy. , grayscale contrast value, grayscale energy value, grayscale correlation value, grayscale homogeneity value, binary area value, binary circumference value, binary major axis value, and binary minor axis value. The dataset used in this study was taken from Kaggle, with a dataset of 2750 images, each type of fruit contained 550 images, 2500 training images were used and 250 images were used for testing. The experimental results show that the KNN method with K=1 has the highest accuracy, which is 99.6%. The KNN method can be used optimally in classifying fruit types based on colour, texture, and shape features.
{"title":"KNN FOR CLASSIFICATION OF FRUIT TYPES BASED ON FRUIT FEATURES","authors":"Mohammed Azman, Nur Nafi’iyah","doi":"10.20527/jtiulm.v7i1.100","DOIUrl":"https://doi.org/10.20527/jtiulm.v7i1.100","url":null,"abstract":"Research related to the recognition of fruit types has been done previously. Research related to the recognition of many types of fruit applies computer vision and artificial intelligence. The purpose of this research is to apply artificial intelligence science with the KNN method to identify the type of fruit. The KNN method has a good performance in previous studies. We tried to use KNN by determining the most optimal K value. There are five types of fruit images used in this study, namely Apples, Grapes, Oranges, Mangoes, and Strawberries. The fruit image is extracted with colour, texture, and shape features with a total of 15 features, namely the average value of R, the average value of G, the average value of B, the value of skewness R, the value of skewness G, the value of skewness B, the value of grayscale entropy. , grayscale contrast value, grayscale energy value, grayscale correlation value, grayscale homogeneity value, binary area value, binary circumference value, binary major axis value, and binary minor axis value. The dataset used in this study was taken from Kaggle, with a dataset of 2750 images, each type of fruit contained 550 images, 2500 training images were used and 250 images were used for testing. The experimental results show that the KNN method with K=1 has the highest accuracy, which is 99.6%. The KNN method can be used optimally in classifying fruit types based on colour, texture, and shape features.","PeriodicalId":330464,"journal":{"name":"Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133835979","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 : 2022-04-30DOI: 10.20527/jtiulm.v7i1.124
Windarsyah, Rudy Ansari, Ihdalhubbi Maulida, A. Ningrum, Muhammad Alfiyani
pH stands for the power of Hydrogen, which is an important factor in hydroponic systems. The hydrogen ion concentration determines the value of the acidity in the solution. If the pH value of the solution is below 7.0, then it is called acidic, and if the pH value is above 7.0, it is called alkaline. The pH value can change, so it is necessary to pay attention to the acidity of the water so that the roots absorb nutrients properly that farmers often find it difficult to take measurements. Mustard plants have a pH range of 5.5 – 6.5. Based on the pH range, it is necessary to have a tool to monitor the quality of the pH in mustard plants. This monitoring is carried out by creating a hydroponic nutrient water disposal system by combining agriculture and mechatronics. Mechatronics will control the nutrient distribution system so that it can be monitored with a smartphone via wireless connectivity such as the GSM module (800L. The water quality monitoring system works by using ultrasonic sensors, sensor probes and TDS sensors, as well as the GSM 800L module. monitoring of water quality in hydroponic mustard plants) using an Arduino microcontroller and detecting pH conditions and solute content. As for the disposal of nutrient water, using a water pump connected to the microcontroller via a relay. Based on the prototype carried out on June 26, 2021, the condition of water quality has decreased in nutritional quality with the first data (pH 6.31 solute 529 ppm) and the latest data (pH 9.09 and solute 662 ppm). When the water quality is below the nutritional standard, the water pump turns on to remove the nutrient water. The results of the prototype that has been carried out have succeeded in monitoring water quality hydroponics and can be used by farmers.
{"title":"MONITORING WATER QUALITY IN VEGETABLE HYDROPONICS USING ARDUINO MICROCONTROLLER","authors":"Windarsyah, Rudy Ansari, Ihdalhubbi Maulida, A. Ningrum, Muhammad Alfiyani","doi":"10.20527/jtiulm.v7i1.124","DOIUrl":"https://doi.org/10.20527/jtiulm.v7i1.124","url":null,"abstract":"pH stands for the power of Hydrogen, which is an important factor in hydroponic systems. The hydrogen ion concentration determines the value of the acidity in the solution. If the pH value of the solution is below 7.0, then it is called acidic, and if the pH value is above 7.0, it is called alkaline. The pH value can change, so it is necessary to pay attention to the acidity of the water so that the roots absorb nutrients properly that farmers often find it difficult to take measurements. Mustard plants have a pH range of 5.5 – 6.5. Based on the pH range, it is necessary to have a tool to monitor the quality of the pH in mustard plants. This monitoring is carried out by creating a hydroponic nutrient water disposal system by combining agriculture and mechatronics. Mechatronics will control the nutrient distribution system so that it can be monitored with a smartphone via wireless connectivity such as the GSM module (800L. The water quality monitoring system works by using ultrasonic sensors, sensor probes and TDS sensors, as well as the GSM 800L module. monitoring of water quality in hydroponic mustard plants) using an Arduino microcontroller and detecting pH conditions and solute content. As for the disposal of nutrient water, using a water pump connected to the microcontroller via a relay. Based on the prototype carried out on June 26, 2021, the condition of water quality has decreased in nutritional quality with the first data (pH 6.31 solute 529 ppm) and the latest data (pH 9.09 and solute 662 ppm). When the water quality is below the nutritional standard, the water pump turns on to remove the nutrient water. The results of the prototype that has been carried out have succeeded in monitoring water quality hydroponics and can be used by farmers.","PeriodicalId":330464,"journal":{"name":"Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129701918","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 : 2022-04-30DOI: 10.20527/jtiulm.v7i1.125
Noor Razikin, Sitti Rahmawati
{"title":"INCOMING AND OUTGOING SERVICE FOR THE ACADEMIC SECTION OF LAMBUNG MANGKURAT UNIVERSITY","authors":"Noor Razikin, Sitti Rahmawati","doi":"10.20527/jtiulm.v7i1.125","DOIUrl":"https://doi.org/10.20527/jtiulm.v7i1.125","url":null,"abstract":"","PeriodicalId":330464,"journal":{"name":"Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131556979","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：