Pub Date : 2023-05-31DOI: 10.32520/stmsi.v12i2.2874
Hasyim Asy'ari, Endang Setyati, Suhatati Tjandra
This research aims to help companies to be able to estimate the procurement of materials in property development, control material stocks in warehouses, and determine which suppliers can support to meet these needs with predetermined criteria, namely the supplier's distance to the project location, delivery speed, suitability orders, good quality materials and affordable prices. The method used to estimate the quantity of material procurement in maintaining the availability of material stock in the warehouse is the Auto Regressive Moving Average (ARIMA) method and the Analytical Hierarchy Process (AHP) as a method for determining material suppliers. The results of this study indicate that the average percentage of forecasting errors is 6.1%. As for the selection of material suppliers, the AHP method can recommend which suppliers are eligible to be selected based on predetermined criteria, then the results are sorted based on the highest ranking.
{"title":"Material Procurement Recommendation System for Property Developer Companies using ARIMA and AHP Methods","authors":"Hasyim Asy'ari, Endang Setyati, Suhatati Tjandra","doi":"10.32520/stmsi.v12i2.2874","DOIUrl":"https://doi.org/10.32520/stmsi.v12i2.2874","url":null,"abstract":"This research aims to help companies to be able to estimate the procurement of materials in property development, control material stocks in warehouses, and determine which suppliers can support to meet these needs with predetermined criteria, namely the supplier's distance to the project location, delivery speed, suitability orders, good quality materials and affordable prices. The method used to estimate the quantity of material procurement in maintaining the availability of material stock in the warehouse is the Auto Regressive Moving Average (ARIMA) method and the Analytical Hierarchy Process (AHP) as a method for determining material suppliers. The results of this study indicate that the average percentage of forecasting errors is 6.1%. As for the selection of material suppliers, the AHP method can recommend which suppliers are eligible to be selected based on predetermined criteria, then the results are sorted based on the highest ranking.","PeriodicalId":32357,"journal":{"name":"Jurnal Sistem Informasi","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135439563","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 : 2023-05-31DOI: 10.32520/stmsi.v12i2.2848
Fathur Muhammad Rahman, Muhammad Irwan Padli
The Online Project Processing Information System at the Sumatra Lestari Orangutan Foundation (YOSL-OIC) is of course website-based, which is a project report information system that is carried out online that allows users to access data in real-time and can make the right decisions in a short time and it also makes it easier for the industry to manage and work on projects in a planned, controlled, analytical and sustainable manner. Industry must also be able to control how project activities are carried out. At YOSL-OIC, Data processing information systems are being evaluated in a semi-manual fashion, which is inefficient in terms of both time and accuracy. The study's overarching goal is to create a web-based data system that streamlines data collecting and processing and can be accessed from any location, among other benefits. The application that is formed includes work data that shows features such as collecting pictures and videos during activities, lists of donors, and can input projects through the website directly without going through software such as Ms.Word or other Office parts and several others. Employees may quickly and easily save enormous volumes of data, generate comprehensive reports, and guarantee the safety of sensitive project information with the help of this program.
{"title":"Online Project Processing Information System at the Foundation Sumatran Orangutan Lestari","authors":"Fathur Muhammad Rahman, Muhammad Irwan Padli","doi":"10.32520/stmsi.v12i2.2848","DOIUrl":"https://doi.org/10.32520/stmsi.v12i2.2848","url":null,"abstract":"The Online Project Processing Information System at the Sumatra Lestari Orangutan Foundation (YOSL-OIC) is of course website-based, which is a project report information system that is carried out online that allows users to access data in real-time and can make the right decisions in a short time and it also makes it easier for the industry to manage and work on projects in a planned, controlled, analytical and sustainable manner. Industry must also be able to control how project activities are carried out. At YOSL-OIC, Data processing information systems are being evaluated in a semi-manual fashion, which is inefficient in terms of both time and accuracy. The study's overarching goal is to create a web-based data system that streamlines data collecting and processing and can be accessed from any location, among other benefits. The application that is formed includes work data that shows features such as collecting pictures and videos during activities, lists of donors, and can input projects through the website directly without going through software such as Ms.Word or other Office parts and several others. Employees may quickly and easily save enormous volumes of data, generate comprehensive reports, and guarantee the safety of sensitive project information with the help of this program.","PeriodicalId":32357,"journal":{"name":"Jurnal Sistem Informasi","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135439689","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 : 2023-05-31DOI: 10.32520/stmsi.v12i2.2467
Mohammad Agung Nugroho, Eto Wuryanto, Kartono Faqih
The objective of this study was to assess the capability of the Gauss distribution-based Cuckoo Search algorithm (GCS) in solving the Uncapacitated Facility Location Problem (UFLP). UFLP is an optimization problem that there are number of locations available to be built a facility so that it can serve number of customers, assuming each facility has no limits to serve customers and only a single facility is allowed to provide services to each customer. The objective function of UFLP is to minimize the combined costs of constructing facilities in an area and providing services to customers. UFLP falls under the category of NP-Hard Problems, where the computation complexity increases with the size of the data. The Cuckoo Search algorithm, which mimics the breeding behavior of Cuckoo birds, has been extensively used to tackle optimization problems. GCS was introduced to overcome the weaknesses of Cuckoo Search algorithm in terms of computational time and search accuracy. GCS used Gaussian distribution instead of Levy Flight which based on Levy distribution. In this study, the GCS algorithm was implemented using JavaScript and the dataset used was obtained from ORLib. The research outcomes showed that the GCS algorithm could achieve optimal result in all dataset.
{"title":"Optimizing Uncapacitated Facility Location Problem with Cuckoo Search Algorithm based on Gauss Distribution","authors":"Mohammad Agung Nugroho, Eto Wuryanto, Kartono Faqih","doi":"10.32520/stmsi.v12i2.2467","DOIUrl":"https://doi.org/10.32520/stmsi.v12i2.2467","url":null,"abstract":"The objective of this study was to assess the capability of the Gauss distribution-based Cuckoo Search algorithm (GCS) in solving the Uncapacitated Facility Location Problem (UFLP). UFLP is an optimization problem that there are number of locations available to be built a facility so that it can serve number of customers, assuming each facility has no limits to serve customers and only a single facility is allowed to provide services to each customer. The objective function of UFLP is to minimize the combined costs of constructing facilities in an area and providing services to customers. UFLP falls under the category of NP-Hard Problems, where the computation complexity increases with the size of the data. The Cuckoo Search algorithm, which mimics the breeding behavior of Cuckoo birds, has been extensively used to tackle optimization problems. GCS was introduced to overcome the weaknesses of Cuckoo Search algorithm in terms of computational time and search accuracy. GCS used Gaussian distribution instead of Levy Flight which based on Levy distribution. In this study, the GCS algorithm was implemented using JavaScript and the dataset used was obtained from ORLib. The research outcomes showed that the GCS algorithm could achieve optimal result in all dataset.","PeriodicalId":32357,"journal":{"name":"Jurnal Sistem Informasi","volume":"302 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135439692","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 : 2023-05-31DOI: 10.32520/stmsi.v12i2.2871
Laqma Dica Fitrani, Ari Cahaya Puspitaningrum
Junior high school is one of the organizations whose business processes involve teaching and learning activities under the principal's responsibility. SMP ABC is a junior high school that continually strives to improve the quality of education, one of which is its academic services. However, the process of storing and processing data at SMP ABC still uses Microsoft word and Microsoft excel. Hence, the data management process is not good and allows a lot of errors in processing academic data. The academic information system is a system that can help solve the problem of errors in data processing and make the educational service process better and more effective. So SMP ABC also needs to implement an academic information system. The results of this study are to analyze and design educational information systems using the OOAD method using UML (Unified Modeling Language) tools with several diagrams, including use case diagrams, sequence diagrams, and ERD, to facilitate academic data management and improve efficiency and effectiveness so that management data on SPM ABC can be computerized appropriately.
{"title":"Utilization Of UML (Unified Modeling Language) In The Design Of Academic Information Systems Based On The OOAD Method","authors":"Laqma Dica Fitrani, Ari Cahaya Puspitaningrum","doi":"10.32520/stmsi.v12i2.2871","DOIUrl":"https://doi.org/10.32520/stmsi.v12i2.2871","url":null,"abstract":"Junior high school is one of the organizations whose business processes involve teaching and learning activities under the principal's responsibility. SMP ABC is a junior high school that continually strives to improve the quality of education, one of which is its academic services. However, the process of storing and processing data at SMP ABC still uses Microsoft word and Microsoft excel. Hence, the data management process is not good and allows a lot of errors in processing academic data. The academic information system is a system that can help solve the problem of errors in data processing and make the educational service process better and more effective. So SMP ABC also needs to implement an academic information system. The results of this study are to analyze and design educational information systems using the OOAD method using UML (Unified Modeling Language) tools with several diagrams, including use case diagrams, sequence diagrams, and ERD, to facilitate academic data management and improve efficiency and effectiveness so that management data on SPM ABC can be computerized appropriately.","PeriodicalId":32357,"journal":{"name":"Jurnal Sistem Informasi","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135439695","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 : 2023-05-31DOI: 10.32520/stmsi.v12i2.2881
Aulia Safira Ahda, Chanifah Indah Ratnasari
The website is one of the media used by some educational institutions to convey information. One of them is the Department of Informatics at the Universitas Islam Indonesia (UII). One of the basic things that need to be considered when developing a academic website is the user experience (UX) a user has when engaging with a website. User experience measures the comfort level of a user when interacting with a product. User experience needs to be evaluated regularly so that the website can continue to meet the expectations of its users. However, there has been no research related to evaluating or testing user experience on the UII Informatics Department website. This study aims to assess the level of experience of UII Informatics Department website visitors. This study employed quantitative research methods, specifically the User Experience Questionnaire (UEQ) method. Using the mean calculation, the UII Informatics Department website received positive assessments on the dimensions of perspicuity, efficiency, attractiveness, dependability, and stimulation, but received negative evaluations on the novelty dimension. According to the benchmark analysis, the aspects of perspicuity and efficiency are above-average. While the dimensions of novelty, stimulation, dependability, and attractiveness are below-average. The results of this study can be used as a reference for developing a website for the Department of Informatics with a version that is more in line with user needs.
网站是一些教育机构用来传递信息的媒介之一。其中之一是印度尼西亚伊斯兰大学(Universitas Islam Indonesia)的信息系。在开发一个学术网站时，需要考虑的基本事情之一是用户在访问网站时的用户体验(UX)。用户体验衡量的是用户与产品交互时的舒适程度。用户体验需要定期评估，这样网站才能继续满足用户的期望。但是，目前还没有对ui信息部网站的用户体验进行评估或测试的相关研究。本研究旨在评估资讯系网站访客的体验水平。本研究采用定量研究方法，特别是用户体验问卷(UEQ)方法。使用均值计算，ui信息系网站在清晰度、效率、吸引力、可靠性和刺激维度上获得正面评价，但在新颖性维度上获得负面评价。根据基准分析，在清晰度和效率方面处于中等偏上水平。而新颖性、刺激性、可靠性和吸引力的维度则低于平均水平。本研究的结果可作为资讯系网站发展的参考，使之更符合使用者的需求。
{"title":"User Experience Testing on the UII Informatics Department Website using the User Experience Questionnaire","authors":"Aulia Safira Ahda, Chanifah Indah Ratnasari","doi":"10.32520/stmsi.v12i2.2881","DOIUrl":"https://doi.org/10.32520/stmsi.v12i2.2881","url":null,"abstract":"The website is one of the media used by some educational institutions to convey information. One of them is the Department of Informatics at the Universitas Islam Indonesia (UII). One of the basic things that need to be considered when developing a academic website is the user experience (UX) a user has when engaging with a website. User experience measures the comfort level of a user when interacting with a product. User experience needs to be evaluated regularly so that the website can continue to meet the expectations of its users. However, there has been no research related to evaluating or testing user experience on the UII Informatics Department website. This study aims to assess the level of experience of UII Informatics Department website visitors. This study employed quantitative research methods, specifically the User Experience Questionnaire (UEQ) method. Using the mean calculation, the UII Informatics Department website received positive assessments on the dimensions of perspicuity, efficiency, attractiveness, dependability, and stimulation, but received negative evaluations on the novelty dimension. According to the benchmark analysis, the aspects of perspicuity and efficiency are above-average. While the dimensions of novelty, stimulation, dependability, and attractiveness are below-average. The results of this study can be used as a reference for developing a website for the Department of Informatics with a version that is more in line with user needs.","PeriodicalId":32357,"journal":{"name":"Jurnal Sistem Informasi","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135439700","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 : 2023-05-31DOI: 10.32520/stmsi.v12i2.2433
Ratih Nur Esti Anggraini, Azzam Jihad Ulhaq, M. Syauqi Hanif Ardani
Research involving humans as the object has to follow ethics protocol. This protocol has to be reviewed by the research ethics committee before the research can be conducted. Though the mechanism for determining the protocol reviewer is simple, there are several obstacles, including the unbalanced workload of each reviewer, the empty schedule because the reviewer is busy or has other tasks, and the length of time it takes to determine the schedule manually. There needs to be a system that can see various obstacles and challenges in scheduling protocol reviewers and resolve them automatically. This paper proposes an automatic scheduling mechanism with a Heuristic Forward Chaining approach that can adjust the rules for determining reviewers from real experts and avoid the constraints that exist in the manual scheduling system. The proposed method is made in the form of a web application and can practically generate accurate schedules automatically.
{"title":"Automatic scheduling using Forward Chaining for Ethics Protocol Review","authors":"Ratih Nur Esti Anggraini, Azzam Jihad Ulhaq, M. Syauqi Hanif Ardani","doi":"10.32520/stmsi.v12i2.2433","DOIUrl":"https://doi.org/10.32520/stmsi.v12i2.2433","url":null,"abstract":"Research involving humans as the object has to follow ethics protocol. This protocol has to be reviewed by the research ethics committee before the research can be conducted. Though the mechanism for determining the protocol reviewer is simple, there are several obstacles, including the unbalanced workload of each reviewer, the empty schedule because the reviewer is busy or has other tasks, and the length of time it takes to determine the schedule manually. There needs to be a system that can see various obstacles and challenges in scheduling protocol reviewers and resolve them automatically. This paper proposes an automatic scheduling mechanism with a Heuristic Forward Chaining approach that can adjust the rules for determining reviewers from real experts and avoid the constraints that exist in the manual scheduling system. The proposed method is made in the form of a web application and can practically generate accurate schedules automatically.","PeriodicalId":32357,"journal":{"name":"Jurnal Sistem Informasi","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135438682","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 primary purpose of this paper is to investigate the level of IT decisions accuracy between female and male directors on board. The research uses qualitative studies by interviewing four directors (two females and two males) who are in charge of making IT investment decisions. Furthermore, the data analysis uses Leadership Theory, Decision Quality Theory and Analytic Hierarchical Process. Results show that gender plays a pivotal role in shaping board directors' conduct in an IT investment decision-making where male and female leaders have specific attributes that will contribute to a successful IT investment decision-making. Moreover, the results also can be used as a fundamental for enterprises to change their policy regarding gender equality in a workplace to create a more diverse working environment. This research becomes significant considering the number of females on IT and board remains limited for several years despite women emancipation being encouraged across many platforms.
{"title":"Female Directors on Board and Their IT Investment Decisions Behaviour Against Their Male Counterparts","authors":"Widyasari Puspa Permata Witra, Apol Pribadi Subriadi","doi":"10.32520/stmsi.v12i2.2317","DOIUrl":"https://doi.org/10.32520/stmsi.v12i2.2317","url":null,"abstract":"The primary purpose of this paper is to investigate the level of IT decisions accuracy between female and male directors on board. The research uses qualitative studies by interviewing four directors (two females and two males) who are in charge of making IT investment decisions. Furthermore, the data analysis uses Leadership Theory, Decision Quality Theory and Analytic Hierarchical Process. Results show that gender plays a pivotal role in shaping board directors' conduct in an IT investment decision-making where male and female leaders have specific attributes that will contribute to a successful IT investment decision-making. Moreover, the results also can be used as a fundamental for enterprises to change their policy regarding gender equality in a workplace to create a more diverse working environment. This research becomes significant considering the number of females on IT and board remains limited for several years despite women emancipation being encouraged across many platforms.","PeriodicalId":32357,"journal":{"name":"Jurnal Sistem Informasi","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135438671","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}
Typing is an activity to write an article in printed form that has been assembled by a typewriter. With the rapid development of the times, typewriters were replaced by computers because they were efficient in making writing or text. a text or writing that is easy to understand in conveying information does not have word mistakes that result in unclear information being conveyed. In word processing applications such as Microsoft Office Word, it has the word suggestions and autocorrect word features which are very useful in checking an article where there are word errors in the writing. This research develops a javascript library to detect typo errors for writing wrong words and recommends the right words to change the wrong words. This study uses the Levenshtein Distance Algorithm and the Regular Search Expression method. The results of this study were successfully applied to the word recommendation feature in the library with an accuracy value of 50% and a precision level of 5%.
{"title":"Implementation of the Levenshtein Distance Algorithm and the Regular Search Expression Method for Detecting Typors in Javascript","authors":"Mu’alif Lihawa, Anggit Dwi Hartanto, Norhikmah Norhikmah, Donni Prabowo, Ika Nur Fajri, Wiwi Widayani","doi":"10.32520/stmsi.v12i2.2795","DOIUrl":"https://doi.org/10.32520/stmsi.v12i2.2795","url":null,"abstract":"Typing is an activity to write an article in printed form that has been assembled by a typewriter. With the rapid development of the times, typewriters were replaced by computers because they were efficient in making writing or text. a text or writing that is easy to understand in conveying information does not have word mistakes that result in unclear information being conveyed. In word processing applications such as Microsoft Office Word, it has the word suggestions and autocorrect word features which are very useful in checking an article where there are word errors in the writing. This research develops a javascript library to detect typo errors for writing wrong words and recommends the right words to change the wrong words. This study uses the Levenshtein Distance Algorithm and the Regular Search Expression method. The results of this study were successfully applied to the word recommendation feature in the library with an accuracy value of 50% and a precision level of 5%.","PeriodicalId":32357,"journal":{"name":"Jurnal Sistem Informasi","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135438680","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 was conducted with the aim of assessing or assessing the level of success of an information system used, namely the Health Management Information System or known as SIMKES in supporting the service process at the Kwamki Lama Mimika Health Center. This information system is still relatively new in its implementation, namely since the end of September 2022 and there has not been an evaluation related to this system for the puskesmas kwamki. This research uses the Human, Organization, Technology and Net Benefit (HOT-Fit) model approach because it focuses more on several important aspects by distributing questionnaires to all employees of the puskesmas kwamki who access SIMKES directly. The results obtained from the average value of each indicator for system users 3.90 (Good), organizational structure 4.11 (Good), system quality 3.74 (Good), information quality 4.15 (Good), quality service 3.85 (Good), and benefits 4.11 (Good). So that the overall SIMKES score obtained was 3.98 (Good). Based on this, it is known that the success rate of SIMKES is good in helping the service process.
本研究的目的是评估或评估所使用的信息系统的成功程度，即健康管理信息系统或称为SIMKES，在支持Kwamki Lama Mimika健康中心的服务过程中。自2022年9月底以来，该信息系统的实施相对较新，尚未对puskesmas kamki系统进行相关评估。本研究采用人力、组织、技术和净效益(HOT-Fit)模型方法，因为它通过向直接访问SIMKES的puskesmas kwamki的所有员工分发问卷，更关注几个重要方面。系统用户3.90(良好)、组织结构4.11(良好)、系统质量3.74(良好)、信息质量4.15(良好)、质量服务3.85(良好)、效益4.11(良好)等各指标的平均值。因此得到的SIMKES总分为3.98(良好)。由此可知，SIMKES在帮助服务过程中成功率较高。
{"title":"Evaluation of SIMKES at Puskesmas Kwamki Lama Mimika Using the HOT-FIT Method","authors":"Betesda Feronika Lumbanraja, Penidas Fiodinggo Tanaem","doi":"10.32520/stmsi.v12i2.2897","DOIUrl":"https://doi.org/10.32520/stmsi.v12i2.2897","url":null,"abstract":"This research was conducted with the aim of assessing or assessing the level of success of an information system used, namely the Health Management Information System or known as SIMKES in supporting the service process at the Kwamki Lama Mimika Health Center. This information system is still relatively new in its implementation, namely since the end of September 2022 and there has not been an evaluation related to this system for the puskesmas kwamki. This research uses the Human, Organization, Technology and Net Benefit (HOT-Fit) model approach because it focuses more on several important aspects by distributing questionnaires to all employees of the puskesmas kwamki who access SIMKES directly. The results obtained from the average value of each indicator for system users 3.90 (Good), organizational structure 4.11 (Good), system quality 3.74 (Good), information quality 4.15 (Good), quality service 3.85 (Good), and benefits 4.11 (Good). So that the overall SIMKES score obtained was 3.98 (Good). Based on this, it is known that the success rate of SIMKES is good in helping the service process.","PeriodicalId":32357,"journal":{"name":"Jurnal Sistem Informasi","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135439565","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 : 2023-05-31DOI: 10.32520/stmsi.v12i2.2473
Vynska Amalia Permadi, Rezky Putratama Raharjo
This research aims to resolve the challenge of finding the list of recommendations that correspond to user preferences. The MyAnimeList dataset is utilized for model evaluation, accessible via Kaggle website. The outcome of this study is the development of a recommendation system based on the preferences of other users (user-based model). The suggested solution employs a collaborative filtering model based on the KNN algorithm and weighted attribute. The dataset consisted of 193,272 user ratings on anime, with the following attributes: username, anime_id, my_score, and my_status. As an extension of the KNN collaborative filtering paradigm, the rating value is weighted based on the user’s status. The determination of the weight is based on the responses of 105 respondents to a questionnaire. my_score and my_status values will be combined and adjusted using MinMaxNormalization in addition to being weighted. This work implemented the KNN algorithm with the following k parameter values: 3, 5, 9, 15, 23, 33, and 45. Variations in parameters are utilized to determine the optimal k value to employ in KNN, which uses the Pearson similarity matrix to calculate user similarity values. The model evaluation indicate that the optimal Mean Absolute Error and Root Mean Square Error values at parameter k = 5 are 0.14726 and 0.19855, respectively. This improved model’s findings further demonstrate that KNN collaborative filtering with an additional weighted parameter can predict ratings with stable and generally low error values for all k values.
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