Abdul Azis, Agung Triayudi, Endah Tri, Esti Handayani
The selection process of new students in educational institutions, such as in Sekolah Menengah Kejuruan (SMK) Wisata Indonesia which still uses conventional methods using paper, has several challenges. One of the main challenges is test cheating, where prospective students may try to manipulate their test results to increase their chances of being accepted. In addition, another challenge faced by SMK Wisata Indonesia is that when the number of prospective students who register is very large, managing answers and exam results can become more complicated. This research aims to design and build an Android-based Academic Potential Test application by applying the Fisher-Yates Shuffle algorithm to randomize the order of questions. This research also uses the RUP (rational Unified Process) system development technique which has several phases, namely the Inception phase, Elaboration phase, Construction phase and Transition phase. The validation testing carried out obtained overall valid results so that the application that has been designed is in accordance with user needs. Meanwhile, usability testing in the Academic Potential Test Application using the SEQ method resulted in an average Likert score for students of 6.63 with a user-friendliness percentage of around 94%. As for teachers, the Likert average score is 6.53 with a percentage of ease of use of around 93%. This shows that the Academic Potential Test Application that has been built is EASY TO USE
{"title":"Application of Academic Potential Test for New Student Admission Using Fisher-Yates Shuffle Algorithm","authors":"Abdul Azis, Agung Triayudi, Endah Tri, Esti Handayani","doi":"10.58905/saga.v2i1.254","DOIUrl":"https://doi.org/10.58905/saga.v2i1.254","url":null,"abstract":"The selection process of new students in educational institutions, such as in Sekolah Menengah Kejuruan (SMK) Wisata Indonesia which still uses conventional methods using paper, has several challenges. One of the main challenges is test cheating, where prospective students may try to manipulate their test results to increase their chances of being accepted. In addition, another challenge faced by SMK Wisata Indonesia is that when the number of prospective students who register is very large, managing answers and exam results can become more complicated. This research aims to design and build an Android-based Academic Potential Test application by applying the Fisher-Yates Shuffle algorithm to randomize the order of questions. This research also uses the RUP (rational Unified Process) system development technique which has several phases, namely the Inception phase, Elaboration phase, Construction phase and Transition phase. The validation testing carried out obtained overall valid results so that the application that has been designed is in accordance with user needs. Meanwhile, usability testing in the Academic Potential Test Application using the SEQ method resulted in an average Likert score for students of 6.63 with a user-friendliness percentage of around 94%. As for teachers, the Likert average score is 6.53 with a percentage of ease of use of around 93%. This shows that the Academic Potential Test Application that has been built is EASY TO USE","PeriodicalId":176651,"journal":{"name":"SAGA: Journal of Technology and Information System","volume":"81 16","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140377893","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}
Muhamad Rais Rabtsani, Agung Triayudi, Gatot Soepriyono
In the era of information technology development, digital payments and e-payments are becoming a dominant trend, supported by the crucial role of payment gateways such as Midtrans. Midtrans uses APIs to facilitate various online transactions, including debit cards. In this research, two cryptographic algorithms will be combined, namely Advance Encryption Standard (AES) with 256 bits and Secure Hash Algorithm (SHA) with 256 bits. The importance of data security in e-payments is recognized, with the application of cryptographic algorithms to protect sensitive transaction information. Yayasan Antero Prosesi Edukasi (YAPE) as an educational marketing consultant faced the challenge of time-consuming and inefficient manual payments. In an effort towards efficiency and security, YAPE plans to develop an online payment application with Midtrans Payment Gateway and the use of AES-256 and SHA-256 cryptographic algorithms. This step is expected to help the foundation keep up with technological developments, provide ease of payment, and achieve computerized efficiency. The results showed that the use of a combination of AES 256 bit and SHA256 encryption significantly increased security, making hacking attempts ineffective because encrypted data could not be accessed, with quite complicated calculation stages.
{"title":"Combination of AES (Advanced Encryption Standard) and SHA256 Algorithms for Data Security in Bill Payment Applications","authors":"Muhamad Rais Rabtsani, Agung Triayudi, Gatot Soepriyono","doi":"10.58905/saga.v2i1.250","DOIUrl":"https://doi.org/10.58905/saga.v2i1.250","url":null,"abstract":"In the era of information technology development, digital payments and e-payments are becoming a dominant trend, supported by the crucial role of payment gateways such as Midtrans. Midtrans uses APIs to facilitate various online transactions, including debit cards. In this research, two cryptographic algorithms will be combined, namely Advance Encryption Standard (AES) with 256 bits and Secure Hash Algorithm (SHA) with 256 bits. The importance of data security in e-payments is recognized, with the application of cryptographic algorithms to protect sensitive transaction information. Yayasan Antero Prosesi Edukasi (YAPE) as an educational marketing consultant faced the challenge of time-consuming and inefficient manual payments. In an effort towards efficiency and security, YAPE plans to develop an online payment application with Midtrans Payment Gateway and the use of AES-256 and SHA-256 cryptographic algorithms. This step is expected to help the foundation keep up with technological developments, provide ease of payment, and achieve computerized efficiency. The results showed that the use of a combination of AES 256 bit and SHA256 encryption significantly increased security, making hacking attempts ineffective because encrypted data could not be accessed, with quite complicated calculation stages.","PeriodicalId":176651,"journal":{"name":"SAGA: Journal of Technology and Information System","volume":" 120","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140392236","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 inquire about points to create a web-based stock framework that centers on reasonableness, user-friendliness, and usefulness custom-made to desires of Miniaturized scale, Little, and Medium Ventures (MSMEs). Through in-depth analysis of MSMEs' specific inventory management requirements, the system not only provides a comprehensive solution for stock management but also integrates the Apriori algorithm for associative analysis of inventory data. The system's development adopts an Agile approach, allowing flexible adaptation to changing needs throughout the development process. Key features include efficient stock management, intuitive Point of Sales (POS) transaction recording, and customizable inventory reporting. The implementation of this system is expected to enhance MSMEs' efficiency in inventory management, provide insightful data to support more informed decision-making, and positively contribute to strengthening competitiveness and growth in the dynamic and competitive business environment.
{"title":"Inventory Management System for MSMEs","authors":"Aan Setiawan, Agung Triayudi, Agus Iskandar","doi":"10.58905/saga.v2i1.251","DOIUrl":"https://doi.org/10.58905/saga.v2i1.251","url":null,"abstract":"This inquire about points to create a web-based stock framework that centers on reasonableness, user-friendliness, and usefulness custom-made to desires of Miniaturized scale, Little, and Medium Ventures (MSMEs). Through in-depth analysis of MSMEs' specific inventory management requirements, the system not only provides a comprehensive solution for stock management but also integrates the Apriori algorithm for associative analysis of inventory data. The system's development adopts an Agile approach, allowing flexible adaptation to changing needs throughout the development process. Key features include efficient stock management, intuitive Point of Sales (POS) transaction recording, and customizable inventory reporting. The implementation of this system is expected to enhance MSMEs' efficiency in inventory management, provide insightful data to support more informed decision-making, and positively contribute to strengthening competitiveness and growth in the dynamic and competitive business environment.","PeriodicalId":176651,"journal":{"name":"SAGA: Journal of Technology and Information System","volume":" 29","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140391395","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}
Wulan Widhari, Agung Triayudi, Ratih Titi, Komala Sari
Indonesia faces a huge potential risk of stunting, as revealed in the Indonesian Nutrition Status Analysis according to 2022 data, the stunting rate reached 24.22% in 514 districts / cities throughout Indonesia. To prevent stunting in children, early detection can be done. This research was conducted to compare the performance of two algorithms Naive Bayes and K-NN to predict stunting cases in children, to get a better picture of how classification algorithms predict stunting cases with a better level of accuracy and responsiveness, comparison experiments of several algorithms are needed using specific datasets to develop an optimal classification model. Based on the results of performance testing on the K-Nearest Neighbor and Naive Bayes methods in testing the performance of accuracy, precision, recall, and f1-score, the results of performance testing on the naïve bayes method obtained performance values on 30% testing data are accuracy of 71%, precision 71%, recall 76%, and f1-score 73%. The performance results of the K-NN method using the euclidean distance measurement obtained the best performance value, namely accuracy of 97%, precision of 98%, recall of 96%, f1-score of 97% at a value of k = 3. Based on the performance results of the comparison of the Naive Bayes and K-NN methods, it shows that the best classification method on the stunting dataset is the K-NN method because it gets better performance than the Naive Bayes method.
{"title":"Implementation of Naïve Bayes and K-NN Algorithms in Diagnosing Stunting in Children","authors":"Wulan Widhari, Agung Triayudi, Ratih Titi, Komala Sari","doi":"10.58905/saga.v2i1.242","DOIUrl":"https://doi.org/10.58905/saga.v2i1.242","url":null,"abstract":"Indonesia faces a huge potential risk of stunting, as revealed in the Indonesian Nutrition Status Analysis according to 2022 data, the stunting rate reached 24.22% in 514 districts / cities throughout Indonesia. To prevent stunting in children, early detection can be done. This research was conducted to compare the performance of two algorithms Naive Bayes and K-NN to predict stunting cases in children, to get a better picture of how classification algorithms predict stunting cases with a better level of accuracy and responsiveness, comparison experiments of several algorithms are needed using specific datasets to develop an optimal classification model. Based on the results of performance testing on the K-Nearest Neighbor and Naive Bayes methods in testing the performance of accuracy, precision, recall, and f1-score, the results of performance testing on the naïve bayes method obtained performance values on 30% testing data are accuracy of 71%, precision 71%, recall 76%, and f1-score 73%. The performance results of the K-NN method using the euclidean distance measurement obtained the best performance value, namely accuracy of 97%, precision of 98%, recall of 96%, f1-score of 97% at a value of k = 3. Based on the performance results of the comparison of the Naive Bayes and K-NN methods, it shows that the best classification method on the stunting dataset is the K-NN method because it gets better performance than the Naive Bayes method.","PeriodicalId":176651,"journal":{"name":"SAGA: Journal of Technology and Information System","volume":"26 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140396406","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 first stage in simplifying User Experience (UX) using the RESHOT method is Refine the Challenge. This stage is carried out so that design practitioners know the problems or needs of application users through product research. However, the product research methods that can be carried out at this stage are very diverse and require time. This research aims to explain a product research method that can be used by design practitioners easily and quickly, namely the sentiment analysis method with the Naïve Bayes algorithm. Naive Bayes is a classification method based on simple probability. The results of this analysis will be used as a reference for improving UX using the RESHOT method on the Hijra Bank application. The results of product research using sentiment analysis obtained 2711 opinions originating from tweets on Twitter and user reviews of the Hijra Bank application on Google Play. Of the 2711 opinions, 149 had negative sentiment, with the most frequently mentioned opinions being "Customer" and "Data" with an analysis accuracy of 92%. The results of this analysis are converted into a hypothesis, which will later become a reference in designing interfaces using the RESHOT method.
使用 RESHOT 方法简化用户体验（UX）的第一个阶段是 "提炼挑战"。这一阶段的目的是让设计人员通过产品研究了解应用用户的问题或需求。然而，在这一阶段可以开展的产品研究方法多种多样，而且需要时间。本研究旨在解释一种设计从业人员可以方便快捷地使用的产品研究方法，即使用奈维贝叶斯算法的情感分析方法。Naive Bayes 是一种基于简单概率的分类方法。分析结果将作为参考，用于在 Hijra 银行应用程序中使用 RESHOT 方法改进用户体验。利用情感分析进行产品研究的结果获得了 2711 条意见，这些意见来自 Twitter 上的推文和 Google Play 上用户对 Hijra Bank 应用程序的评论。在这 2711 条意见中，149 条具有负面情绪，其中最常提及的意见是 "客户 "和 "数据"，分析准确率为 92%。分析结果被转化为假设，这将成为日后使用 RESHOT 方法设计界面时的参考。
{"title":"Application of Sentiment Analysis in the Reshot Method to Improve User Experience of the Hijra Bank Application","authors":"Ridwan Ahmad Ma'arif, Agung Triayudi","doi":"10.58905/saga.v2i1.240","DOIUrl":"https://doi.org/10.58905/saga.v2i1.240","url":null,"abstract":"The first stage in simplifying User Experience (UX) using the RESHOT method is Refine the Challenge. This stage is carried out so that design practitioners know the problems or needs of application users through product research. However, the product research methods that can be carried out at this stage are very diverse and require time. This research aims to explain a product research method that can be used by design practitioners easily and quickly, namely the sentiment analysis method with the Naïve Bayes algorithm. Naive Bayes is a classification method based on simple probability. The results of this analysis will be used as a reference for improving UX using the RESHOT method on the Hijra Bank application. The results of product research using sentiment analysis obtained 2711 opinions originating from tweets on Twitter and user reviews of the Hijra Bank application on Google Play. Of the 2711 opinions, 149 had negative sentiment, with the most frequently mentioned opinions being \"Customer\" and \"Data\" with an analysis accuracy of 92%. The results of this analysis are converted into a hypothesis, which will later become a reference in designing interfaces using the RESHOT method.","PeriodicalId":176651,"journal":{"name":"SAGA: Journal of Technology and Information System","volume":"17 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140396318","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}
Nasib Marbun, Shahnoza Khaydaraliyevna Pozilova, H. Shahadi, Ankush Ghosh
Search Engine Optimization Specialist is one of the important factors that can help digital agencies improve services to all their customers. This research aims to develop a decision-making system in the recruitment process of Search Engine Optimization Specialists by applying the Preference Selection Index method. The Search Engine Optimization Specialist recruitment decision-making system in this study uses 5 (five) criteria, namely educational background, ability to use SEO tools, work experience as a Search Engine Optimization Specialist, digital marketing skills, and age. The research sample data collection technique related to the recruitment of Search Engine Optimization Specialists used in this research is Literature Study. After the author succeeds in collecting research sample data, at the next stage the author analyzes the application of the Preference Selection Index method in the recruitment of Search Engine Optimization Specialists. The results of this study show that alternative A02 (0.855641604) has the highest value and gets the first ranking position. Meanwhile, the alternatives that get the second to fifth ranking positions are A05 (0,834620739), A03 (0,741086734), A04 (0,716537597), and A01 (0,708920064). So that the most recommended alternative based on the calculation of the Preference Selection Index on the recruitment of Search Engine Optimization Specialists in this study is alternative A02 (0,855641604).
{"title":"Application of Preference Selection Index in Recruitment of Search Engine Optimization Specialist","authors":"Nasib Marbun, Shahnoza Khaydaraliyevna Pozilova, H. Shahadi, Ankush Ghosh","doi":"10.58905/saga.v1i4.241","DOIUrl":"https://doi.org/10.58905/saga.v1i4.241","url":null,"abstract":"Search Engine Optimization Specialist is one of the important factors that can help digital agencies improve services to all their customers. This research aims to develop a decision-making system in the recruitment process of Search Engine Optimization Specialists by applying the Preference Selection Index method. The Search Engine Optimization Specialist recruitment decision-making system in this study uses 5 (five) criteria, namely educational background, ability to use SEO tools, work experience as a Search Engine Optimization Specialist, digital marketing skills, and age. The research sample data collection technique related to the recruitment of Search Engine Optimization Specialists used in this research is Literature Study. After the author succeeds in collecting research sample data, at the next stage the author analyzes the application of the Preference Selection Index method in the recruitment of Search Engine Optimization Specialists. The results of this study show that alternative A02 (0.855641604) has the highest value and gets the first ranking position. Meanwhile, the alternatives that get the second to fifth ranking positions are A05 (0,834620739), A03 (0,741086734), A04 (0,716537597), and A01 (0,708920064). So that the most recommended alternative based on the calculation of the Preference Selection Index on the recruitment of Search Engine Optimization Specialists in this study is alternative A02 (0,855641604).","PeriodicalId":176651,"journal":{"name":"SAGA: Journal of Technology and Information System","volume":"90 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139784405","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}
Nasib Marbun, Shahnoza Khaydaraliyevna Pozilova, H. Shahadi, Ankush Ghosh
Search Engine Optimization Specialist is one of the important factors that can help digital agencies improve services to all their customers. This research aims to develop a decision-making system in the recruitment process of Search Engine Optimization Specialists by applying the Preference Selection Index method. The Search Engine Optimization Specialist recruitment decision-making system in this study uses 5 (five) criteria, namely educational background, ability to use SEO tools, work experience as a Search Engine Optimization Specialist, digital marketing skills, and age. The research sample data collection technique related to the recruitment of Search Engine Optimization Specialists used in this research is Literature Study. After the author succeeds in collecting research sample data, at the next stage the author analyzes the application of the Preference Selection Index method in the recruitment of Search Engine Optimization Specialists. The results of this study show that alternative A02 (0.855641604) has the highest value and gets the first ranking position. Meanwhile, the alternatives that get the second to fifth ranking positions are A05 (0,834620739), A03 (0,741086734), A04 (0,716537597), and A01 (0,708920064). So that the most recommended alternative based on the calculation of the Preference Selection Index on the recruitment of Search Engine Optimization Specialists in this study is alternative A02 (0,855641604).
{"title":"Application of Preference Selection Index in Recruitment of Search Engine Optimization Specialist","authors":"Nasib Marbun, Shahnoza Khaydaraliyevna Pozilova, H. Shahadi, Ankush Ghosh","doi":"10.58905/saga.v1i4.241","DOIUrl":"https://doi.org/10.58905/saga.v1i4.241","url":null,"abstract":"Search Engine Optimization Specialist is one of the important factors that can help digital agencies improve services to all their customers. This research aims to develop a decision-making system in the recruitment process of Search Engine Optimization Specialists by applying the Preference Selection Index method. The Search Engine Optimization Specialist recruitment decision-making system in this study uses 5 (five) criteria, namely educational background, ability to use SEO tools, work experience as a Search Engine Optimization Specialist, digital marketing skills, and age. The research sample data collection technique related to the recruitment of Search Engine Optimization Specialists used in this research is Literature Study. After the author succeeds in collecting research sample data, at the next stage the author analyzes the application of the Preference Selection Index method in the recruitment of Search Engine Optimization Specialists. The results of this study show that alternative A02 (0.855641604) has the highest value and gets the first ranking position. Meanwhile, the alternatives that get the second to fifth ranking positions are A05 (0,834620739), A03 (0,741086734), A04 (0,716537597), and A01 (0,708920064). So that the most recommended alternative based on the calculation of the Preference Selection Index on the recruitment of Search Engine Optimization Specialists in this study is alternative A02 (0,855641604).","PeriodicalId":176651,"journal":{"name":"SAGA: Journal of Technology and Information System","volume":"62 45","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139844401","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}
Carrots are one type of vegetable that is rich in vitamin A. In order to increase carrot consumption, it is necessary to diversify carrot-based preparations, among others, by adding carrots to the pudding suction. This study aims to determine the effect of the interaction of the type and concentration of wotel extract on the chemical and organoleptic quality of lipo pudding as functional food. The research method used is experimental laboratory with Complete Random Design (RAL) research design which is arranged factorially with 2 (two) factors. The first factor is the type of carrot extract, namely boiled carrot extract and fresh carrot extract. The second factor is the difference in carrot extract concentration, which is 7%, 10% and 13% carrot extract. Each treatment factor was repeated 3 (three) times resulting in 18 trials. Observational variables include β-carotene tests, crude fiber tests, reduction sugar tests, and organoleptic tests. Based on the results of the study showed that the interaction between different types and carrot extracts had no real effect on β-carotene levels, crude fiber levels, sugar reduction levels. The best treatment in this study was the F2B treatment, namely suction pudding with the addition of fresh carrot extract with a concentration of 10% with the highest Yield Value (NH) of 0.87. The criteria for the parameters of the study were β-carotene content = 983.0 ppm, crude fiber content = 2.1%, reduced sugar content = 14.37%, color = 5.05 (somewhat like), taste = 5.07 (somewhat like), aroma = 4.67 (somewhat like), and chewiness = 4.71 (somewhat like).
{"title":"Chemical And Organoleptic Quality Of Suction Pudding With Variations In The Type And Concentration Of Carrot Extract (Daucus carota L.)","authors":"L Listiana, Fadjar Kurnia Hartati, Bambang Sigit","doi":"10.58905/saga.v1i4.234","DOIUrl":"https://doi.org/10.58905/saga.v1i4.234","url":null,"abstract":"Carrots are one type of vegetable that is rich in vitamin A. In order to increase carrot consumption, it is necessary to diversify carrot-based preparations, among others, by adding carrots to the pudding suction. This study aims to determine the effect of the interaction of the type and concentration of wotel extract on the chemical and organoleptic quality of lipo pudding as functional food. The research method used is experimental laboratory with Complete Random Design (RAL) research design which is arranged factorially with 2 (two) factors. The first factor is the type of carrot extract, namely boiled carrot extract and fresh carrot extract. The second factor is the difference in carrot extract concentration, which is 7%, 10% and 13% carrot extract. Each treatment factor was repeated 3 (three) times resulting in 18 trials. Observational variables include β-carotene tests, crude fiber tests, reduction sugar tests, and organoleptic tests. Based on the results of the study showed that the interaction between different types and carrot extracts had no real effect on β-carotene levels, crude fiber levels, sugar reduction levels. The best treatment in this study was the F2B treatment, namely suction pudding with the addition of fresh carrot extract with a concentration of 10% with the highest Yield Value (NH) of 0.87. The criteria for the parameters of the study were β-carotene content = 983.0 ppm, crude fiber content = 2.1%, reduced sugar content = 14.37%, color = 5.05 (somewhat like), taste = 5.07 (somewhat like), aroma = 4.67 (somewhat like), and chewiness = 4.71 (somewhat like).","PeriodicalId":176651,"journal":{"name":"SAGA: Journal of Technology and Information System","volume":"176 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140501109","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}
Suranta Bill Fatric Ginting, Jontinus Manullang, Harmoko Lubis, Aditiarno Manik
The selection of the best supplier to fulfil the needs of the store in the continuous sale of electronic goods requires a selectivity process using many factors, namely product quality, product price, service, and product delivery speed. However, the number of alternatives to be selected can make it difficult for decision makers to determine the best choice in the selection process. Therefore, a decision support system is needed to support decision making so that the selection of the best electronic goods supplier can be done easily and quickly. The decision-making method used to make accurate decision results on the decision support system for selecting the best supplier of electronic goods in this study is MFEP. The sample data used in this study consists of 6 (six) alternatives and 4 (four) criteria as a factor in determining alternative ranking results. In the final results of this study, it was concluded that the A4 alternative had the highest value (0.3758) compared to 5 (five) other alternatives, namely A6 (0.3544), A1 (0.3484), A3 (0.325), A2 (0.3136), and A5 (0.2828). So that alternative A4 is the most recommended alternative for decision makers to choose as a supplier of electronic goods.
{"title":"Selection of the Best Electronic Goods Supplier Using the MFEP Method","authors":"Suranta Bill Fatric Ginting, Jontinus Manullang, Harmoko Lubis, Aditiarno Manik","doi":"10.58905/saga.v1i4.228","DOIUrl":"https://doi.org/10.58905/saga.v1i4.228","url":null,"abstract":"The selection of the best supplier to fulfil the needs of the store in the continuous sale of electronic goods requires a selectivity process using many factors, namely product quality, product price, service, and product delivery speed. However, the number of alternatives to be selected can make it difficult for decision makers to determine the best choice in the selection process. Therefore, a decision support system is needed to support decision making so that the selection of the best electronic goods supplier can be done easily and quickly. The decision-making method used to make accurate decision results on the decision support system for selecting the best supplier of electronic goods in this study is MFEP. The sample data used in this study consists of 6 (six) alternatives and 4 (four) criteria as a factor in determining alternative ranking results. In the final results of this study, it was concluded that the A4 alternative had the highest value (0.3758) compared to 5 (five) other alternatives, namely A6 (0.3544), A1 (0.3484), A3 (0.325), A2 (0.3136), and A5 (0.2828). So that alternative A4 is the most recommended alternative for decision makers to choose as a supplier of electronic goods.","PeriodicalId":176651,"journal":{"name":"SAGA: Journal of Technology and Information System","volume":"67 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140514245","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 purpose of this study is to evaluate acceptance by archivists of the SIMARDI archive application developed specifically for archive management and classification of archives from public institutions and private individuals. The application provides systematic and structured processing capabilities that enable archivists to effectively manage records, control high-level file management systems, and track archived data quickly and accurately. The methodology used in this study is the Technology Adoption Model (TAM). It has been shown to be effective in describing and predicting user acceptance of technology. The study was conducted by collecting data through questionnaires completed by 30 SIMARDI application users. This questionnaire was designed to measure archivist perceptions of the SIMARDI program and the factors that influence their use of the application. The results showed that archivists positively accepted the SIMARDI application. Usability reached 74%, usability 72.57%, and technology acceptance 73.80%. The study recommends that SIMARDI application developers focus on improving usability variables that score poorly. The results of this research will help increase user adoption not only for government and private organizations looking to implement efficient and user-friendly filing systems, but also for application developers
{"title":"Evaluation of the Successful Implementation of the SIMARDI Using the Technology Acceptance Model (TAM)","authors":"R. Rosda, M. Wali, I. Imilda","doi":"10.58905/saga.v1i2.67","DOIUrl":"https://doi.org/10.58905/saga.v1i2.67","url":null,"abstract":"The purpose of this study is to evaluate acceptance by archivists of the SIMARDI archive application developed specifically for archive management and classification of archives from public institutions and private individuals. The application provides systematic and structured processing capabilities that enable archivists to effectively manage records, control high-level file management systems, and track archived data quickly and accurately. The methodology used in this study is the Technology Adoption Model (TAM). It has been shown to be effective in describing and predicting user acceptance of technology. The study was conducted by collecting data through questionnaires completed by 30 SIMARDI application users. This questionnaire was designed to measure archivist perceptions of the SIMARDI program and the factors that influence their use of the application. The results showed that archivists positively accepted the SIMARDI application. Usability reached 74%, usability 72.57%, and technology acceptance 73.80%. The study recommends that SIMARDI application developers focus on improving usability variables that score poorly. The results of this research will help increase user adoption not only for government and private organizations looking to implement efficient and user-friendly filing systems, but also for application developers","PeriodicalId":176651,"journal":{"name":"SAGA: Journal of Technology and Information System","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126762807","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：