Pub Date : 2023-09-30DOI: 10.32520/stmsi.v12i3.3328
Ahmad Reza Thayyib, Irma Salamah, Halimatussa’diyah R.A.
This research focuses on monitoring and controlling a tortilla chip-making machine using the MQTT protocol. Tortilla chips are a popular snack made from corn tortillas that are cut into triangles and fried or baked. The study utilizes the Internet of Things concept, where sensors are integrated into the machine to enable data exchange and communication through networks. The MQTT protocol is chosen due to its lightweight nature, making it suitable for resource-constrained devices and efficient in IoT applications. The research involves using ESP32 as the microcontroller and various sensors, such as ZMPT101b, ACS712, Tachometer, and HC-SR04. The data collected from the sensors is transmitted to a Thingspeak channel via MQTT, allowing real-time monitoring and control of the machine. The results show that the MQTT protocol effectively facilitates communication of the tortilla chip cutting machine, with satisfactory delay and data integrity. The tortilla chip cutting test was successful, producing triangular-shaped chips. Overall, the research concludes that the implementation of the MQTT protocol in the IoT-based tortilla chip-making machine is effective and reliable. The results of this study indicate that the average delay in data communication is 2.8 seconds, and the integrity testing revealed a 3% error in the accuracy of the sensor data.
{"title":"IoT Based Monitoring System Using MQTT Protocol on Tortilla Chips Cutting Machine","authors":"Ahmad Reza Thayyib, Irma Salamah, Halimatussa’diyah R.A.","doi":"10.32520/stmsi.v12i3.3328","DOIUrl":"https://doi.org/10.32520/stmsi.v12i3.3328","url":null,"abstract":"This research focuses on monitoring and controlling a tortilla chip-making machine using the MQTT protocol. Tortilla chips are a popular snack made from corn tortillas that are cut into triangles and fried or baked. The study utilizes the Internet of Things concept, where sensors are integrated into the machine to enable data exchange and communication through networks. The MQTT protocol is chosen due to its lightweight nature, making it suitable for resource-constrained devices and efficient in IoT applications. The research involves using ESP32 as the microcontroller and various sensors, such as ZMPT101b, ACS712, Tachometer, and HC-SR04. The data collected from the sensors is transmitted to a Thingspeak channel via MQTT, allowing real-time monitoring and control of the machine. The results show that the MQTT protocol effectively facilitates communication of the tortilla chip cutting machine, with satisfactory delay and data integrity. The tortilla chip cutting test was successful, producing triangular-shaped chips. Overall, the research concludes that the implementation of the MQTT protocol in the IoT-based tortilla chip-making machine is effective and reliable. The results of this study indicate that the average delay in data communication is 2.8 seconds, and the integrity testing revealed a 3% error in the accuracy of the sensor data.","PeriodicalId":32357,"journal":{"name":"Jurnal Sistem Informasi","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135039342","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 : 2023-09-30DOI: 10.32520/stmsi.v12i3.2910
Andriyan Dwi Putra, Lukman Hakim, Ali Mustopa
During the transitional period related to the coronavirus outbreak, the need for jobs began to increase. The number of prospective workers who will apply for a job in a company by doing a selection test at the Job Exchange. On the other hand, to suppress the spread of this epidemic, the interaction between Job Exchange officers and prospective job applicants must be limited. So by creating a Job Exchange Test attendance system according to health protocols with the Internet of Things devices, it can be used to limit the interaction of prospective job applicants with job exchange officers. This system was built using the Waterfall Model Software Development Life Cycle method, by utilizing the ESP8266 microcontroller components, the MFRC522 module, and the MLX90614 sensor which will support the performance of this system. The results of this study are taboos for prospective job applicants who have an illegal condition or have a temperature above normal, may not enter the room without interacting directly with the officer, but the device will sound a buzzer notification and a warning message will be sent from the microcontroller and received by the officer via telegram. In this study, a comparison was made to obtain the ideal distance for scanning body temperature at various different distances, and the results of the comparison obtained the smallest percentage error value of 0.027% at a distance of 3 cm.
{"title":"Job Market Test Attendance System With Health Protocols Using The Internet Of Things","authors":"Andriyan Dwi Putra, Lukman Hakim, Ali Mustopa","doi":"10.32520/stmsi.v12i3.2910","DOIUrl":"https://doi.org/10.32520/stmsi.v12i3.2910","url":null,"abstract":"During the transitional period related to the coronavirus outbreak, the need for jobs began to increase. The number of prospective workers who will apply for a job in a company by doing a selection test at the Job Exchange. On the other hand, to suppress the spread of this epidemic, the interaction between Job Exchange officers and prospective job applicants must be limited. So by creating a Job Exchange Test attendance system according to health protocols with the Internet of Things devices, it can be used to limit the interaction of prospective job applicants with job exchange officers. This system was built using the Waterfall Model Software Development Life Cycle method, by utilizing the ESP8266 microcontroller components, the MFRC522 module, and the MLX90614 sensor which will support the performance of this system. The results of this study are taboos for prospective job applicants who have an illegal condition or have a temperature above normal, may not enter the room without interacting directly with the officer, but the device will sound a buzzer notification and a warning message will be sent from the microcontroller and received by the officer via telegram. In this study, a comparison was made to obtain the ideal distance for scanning body temperature at various different distances, and the results of the comparison obtained the smallest percentage error value of 0.027% at a distance of 3 cm.","PeriodicalId":32357,"journal":{"name":"Jurnal Sistem Informasi","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135040007","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 : 2023-09-30DOI: 10.32520/stmsi.v12i3.2683
Santika Tri Hapsari S, Rahmat Widadi, Indah Permatasari
Rice is the staple food of Indonesians which comes from rice plants. Rice plants often experience crop failure due to disease. Of course this will affect the yield. Therefore, in this era of technological advances, digital images can be used to help farmers classify rice leaf diseases so they can be controlled. One of the classifications uses K-Nearest Neighbor (KNN) which is sourced from learning data information with the closest distance. Research requires color feature extraction and invariant moment methods in order to obtain information on the distinguishing characteristics of an object from other objects. Data comes from the UCI Machine Learning Repository totaling 120 images which are divided into 3 types of bacterial disease leaf blight, brown spot, and leaf smut with each class having 40 images. The color features used by HSV are Hue, Saturation, and Value. Meanwhile, the invariant moment uses the seven features H1 to H7 introduced by Hu. Feature selection is carried out after the feature extraction process to get the highest accuracy value. In addition, variations in the number of neighbors (k) in KNN are also varied from k=1 to k=10. The best accuracy results are obtained from the use of features, namely hue, saturation, value, h2, h3, and h7 and the value of the number of neighbors in KNN k=1 with an accuracy 81.66%.
{"title":"Rice Classification with K-Nearest Neighbor based on Color Feature Extraction and Invariant Moment","authors":"Santika Tri Hapsari S, Rahmat Widadi, Indah Permatasari","doi":"10.32520/stmsi.v12i3.2683","DOIUrl":"https://doi.org/10.32520/stmsi.v12i3.2683","url":null,"abstract":"Rice is the staple food of Indonesians which comes from rice plants. Rice plants often experience crop failure due to disease. Of course this will affect the yield. Therefore, in this era of technological advances, digital images can be used to help farmers classify rice leaf diseases so they can be controlled. One of the classifications uses K-Nearest Neighbor (KNN) which is sourced from learning data information with the closest distance. Research requires color feature extraction and invariant moment methods in order to obtain information on the distinguishing characteristics of an object from other objects. Data comes from the UCI Machine Learning Repository totaling 120 images which are divided into 3 types of bacterial disease leaf blight, brown spot, and leaf smut with each class having 40 images. The color features used by HSV are Hue, Saturation, and Value. Meanwhile, the invariant moment uses the seven features H1 to H7 introduced by Hu. Feature selection is carried out after the feature extraction process to get the highest accuracy value. In addition, variations in the number of neighbors (k) in KNN are also varied from k=1 to k=10. The best accuracy results are obtained from the use of features, namely hue, saturation, value, h2, h3, and h7 and the value of the number of neighbors in KNN k=1 with an accuracy 81.66%.","PeriodicalId":32357,"journal":{"name":"Jurnal Sistem Informasi","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135040059","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 : 2023-09-30DOI: 10.32520/stmsi.v12i3.3158
Muhammad Iqbal, Ahmad Taqwa, Lindawati Lindawati
Information technology plays a crucial role in meeting the aspirations of people seeking knowledge in higher education institutions. One effective strategy to showcase the unique features of each university is by employing a Virtual Reality Website 3600. Through this Virtual Reality Website, prospective students, visitors, and the general public can experience a more immersive understanding of the facilities and lecture rooms in the Department of Electrical Engineering at Sriwijaya State Polytechnic (POLSRI). Users can feel as if they are physically present and interact with the college environment virtually using the 3600 camera technology. In this research, to ensure the security of user data and prevent potential security threats, a One-Time Password (OTP) security mechanism is implemented on the website. The OTP system provides temporary access with unique codes generated each time a user accesses the website. This measure is taken to safeguard user data from unauthorized access and potential information leaks. The outcomes of this study will contribute to introducing users to the Virtual Reality Website 3600 technology and aid the Department of Electrical Engineering at POLSRI in virtually showcasing their facilities and lecture rooms to prospective students in an engaging manner.
{"title":"Design of a 3600 Virtual Reality Website for the Department of Electrical Engineering Sriwijaya State Polytechnic","authors":"Muhammad Iqbal, Ahmad Taqwa, Lindawati Lindawati","doi":"10.32520/stmsi.v12i3.3158","DOIUrl":"https://doi.org/10.32520/stmsi.v12i3.3158","url":null,"abstract":"Information technology plays a crucial role in meeting the aspirations of people seeking knowledge in higher education institutions. One effective strategy to showcase the unique features of each university is by employing a Virtual Reality Website 3600. Through this Virtual Reality Website, prospective students, visitors, and the general public can experience a more immersive understanding of the facilities and lecture rooms in the Department of Electrical Engineering at Sriwijaya State Polytechnic (POLSRI). Users can feel as if they are physically present and interact with the college environment virtually using the 3600 camera technology. In this research, to ensure the security of user data and prevent potential security threats, a One-Time Password (OTP) security mechanism is implemented on the website. The OTP system provides temporary access with unique codes generated each time a user accesses the website. This measure is taken to safeguard user data from unauthorized access and potential information leaks. The outcomes of this study will contribute to introducing users to the Virtual Reality Website 3600 technology and aid the Department of Electrical Engineering at POLSRI in virtually showcasing their facilities and lecture rooms to prospective students in an engaging manner.","PeriodicalId":32357,"journal":{"name":"Jurnal Sistem Informasi","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135040061","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 : 2023-09-30DOI: 10.32520/stmsi.v12i3.3172
Nita Helmawati, Norhikmah Norhikmah
The selection of the best practicum assistants is traditionally done through a conventional method, which involves voting by active students attending lab classes. However, upon evaluation, it was found that the results were not accurate. Some cases revealed that assistants were chosen based solely on popularity or recognition among the students, possibly influenced by physical appearance or public speaking skills in front of the class, while other important aspects were not considered. This situation could lead to social jealousy. The problem lies in the difficulty of combining evaluation criteria and determining the relative weights for each criterion in the process of selecting the best practicum assistants at the college. Additionally, there is a lack of objectivity in decision-making during the selection process, resulting in an unstructured and immature decision-making process. Therefore, this research aims to enhance the process of selecting the best practicum assistants at the college through optimizing the profile matching algorithm using the Analytic Hierarchy Process (AHP) method. AHP's role involves checking the weights and making paired comparisons to evaluate each criterion and determine the criterion weights. AHP is also utilized to ensure consistency in determining the weights. On the other hand, the role of profile matching is to provide accurate rankings or comparisons based on the suitability scores between the profiles of potential assistants and the reference profile. The combination of these two algorithms is expected to result in a more accurate selection of practicum assistants by effectively measuring the decision criteria weights. Therefore, the difficulty of combining evaluation criteria and determining the relative weights for each criterion can be minimized. Furthermore, optimizing the profile matching algorithm will enable a more objective decision-making process for selecting the best practicum assistants through more accurate rankings or comparisons based on the suitability scores with the reference profile. Based on this optimization, the collaboration of the two algorithms can achieve comparison results with an accuracy rate of 90%.
{"title":"Optimizing the Profile Matching Algorithm using the Analytical Hierarchy Process in the Selection of Teaching Assistants","authors":"Nita Helmawati, Norhikmah Norhikmah","doi":"10.32520/stmsi.v12i3.3172","DOIUrl":"https://doi.org/10.32520/stmsi.v12i3.3172","url":null,"abstract":"The selection of the best practicum assistants is traditionally done through a conventional method, which involves voting by active students attending lab classes. However, upon evaluation, it was found that the results were not accurate. Some cases revealed that assistants were chosen based solely on popularity or recognition among the students, possibly influenced by physical appearance or public speaking skills in front of the class, while other important aspects were not considered. This situation could lead to social jealousy. The problem lies in the difficulty of combining evaluation criteria and determining the relative weights for each criterion in the process of selecting the best practicum assistants at the college. Additionally, there is a lack of objectivity in decision-making during the selection process, resulting in an unstructured and immature decision-making process. Therefore, this research aims to enhance the process of selecting the best practicum assistants at the college through optimizing the profile matching algorithm using the Analytic Hierarchy Process (AHP) method. AHP's role involves checking the weights and making paired comparisons to evaluate each criterion and determine the criterion weights. AHP is also utilized to ensure consistency in determining the weights. On the other hand, the role of profile matching is to provide accurate rankings or comparisons based on the suitability scores between the profiles of potential assistants and the reference profile. The combination of these two algorithms is expected to result in a more accurate selection of practicum assistants by effectively measuring the decision criteria weights. Therefore, the difficulty of combining evaluation criteria and determining the relative weights for each criterion can be minimized. Furthermore, optimizing the profile matching algorithm will enable a more objective decision-making process for selecting the best practicum assistants through more accurate rankings or comparisons based on the suitability scores with the reference profile. Based on this optimization, the collaboration of the two algorithms can achieve comparison results with an accuracy rate of 90%.","PeriodicalId":32357,"journal":{"name":"Jurnal Sistem Informasi","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135040129","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 : 2023-09-30DOI: 10.32520/stmsi.v12i3.3125
Agung Bia Alpiansah, Yudi Ramdhani
Obesitas remaja di Indonesia sedang meningkat, karena kebiasaan makan yang buruk dan gaya hidup yang kurang gerak. Obesitas meningkatkan risiko masalah kesehatan yang serius seperti penyakit jantung, stroke, diabetes, dan lain-lain yang memerlukan tindakan segera. Obesitas berkembang ketika jumlah kalori yang dikonsumsi melebihi jumlah kalori yang dibakar. Obesitas telah menjadi masalah kesehatan masyarakat yang sangat besar di seluruh dunia. Menurut Organisasi Kesehatan Dunia, sekitar 1,9 miliar orang berusia 18 tahun ke atas mengalami kelebihan berat badan, dengan 600 juta orang mengalami obesitas. Menurut Survei Kesehatan dan Morbiditas Nasional, wanita 29,6% lebih mungkin mengalami obesitas dibandingkan pria, dibandingkan dengan 25% pria. Dataset rekam medis gagal jantung akan ditangani dalam dua tahap percobaan berdasarkan validasi. Empat algoritma klasifikasi yang berbeda, termasuk Random Forest, K-Nearest Neighbor, Decision Tree, dan Naive Bayes, akan dicoba pada langkah pertama. Untuk Testing, metode Cross Validation yang menggunakan Random Forest mengungguli empat algoritma lainnya dalam Testing algoritma. Setelah Testing, metode algoritma Random Forest menghasilkan nilai akurasi tertinggi, dan dievaluasi kembali menggunakan Split Validation dan rasio split yang bervariasi dengan Forward Selection sebagai fitu seleksi. Hanya Testing yang menggunakan metode Forward Selection mengungguli Testing yang menggunakan algoritma Random Forest.
由于不良的饮食习惯和久坐不动的生活方式，印度尼西亚的青少年肥胖正在增加。肥胖会增加心脏病、中风、糖尿病等严重健康问题的风险。当摄入的卡路里超过燃烧的卡路里时，肥胖就会增加。肥胖已成为世界范围内一个巨大的公共卫生问题。根据世界卫生组织(world health organization)的数据，大约有19亿18岁以上的人超重，6亿人肥胖。根据国家健康和发病率调查，女性29.6%的肥胖几率高于男性，而男性为25%。根据验证，将进行两阶段的测试。四种不同的分类算法，包括随机森林、K-Nearest neighbors、Decision Tree和Naive Bayes，将首次尝试。在测试中，使用随机森林的交叉验证方法超过了测试算法中的其他四种算法。测试后，随机森林算法的方法产生了最高的准确性值，并在fitu选择中使用了分级验证和分级比例的不同前置选择进行重新评估。只有通过前选择方法的测试才会超过使用随机森林算法的测试。
{"title":"Optimasi Fitur dengan Forward Selection pada Estimasi Tingkat Obesitas menggunakan Random Forest","authors":"Agung Bia Alpiansah, Yudi Ramdhani","doi":"10.32520/stmsi.v12i3.3125","DOIUrl":"https://doi.org/10.32520/stmsi.v12i3.3125","url":null,"abstract":"Obesitas remaja di Indonesia sedang meningkat, karena kebiasaan makan yang buruk dan gaya hidup yang kurang gerak. Obesitas meningkatkan risiko masalah kesehatan yang serius seperti penyakit jantung, stroke, diabetes, dan lain-lain yang memerlukan tindakan segera. Obesitas berkembang ketika jumlah kalori yang dikonsumsi melebihi jumlah kalori yang dibakar. Obesitas telah menjadi masalah kesehatan masyarakat yang sangat besar di seluruh dunia. Menurut Organisasi Kesehatan Dunia, sekitar 1,9 miliar orang berusia 18 tahun ke atas mengalami kelebihan berat badan, dengan 600 juta orang mengalami obesitas. Menurut Survei Kesehatan dan Morbiditas Nasional, wanita 29,6% lebih mungkin mengalami obesitas dibandingkan pria, dibandingkan dengan 25% pria. Dataset rekam medis gagal jantung akan ditangani dalam dua tahap percobaan berdasarkan validasi. Empat algoritma klasifikasi yang berbeda, termasuk Random Forest, K-Nearest Neighbor, Decision Tree, dan Naive Bayes, akan dicoba pada langkah pertama. Untuk Testing, metode Cross Validation yang menggunakan Random Forest mengungguli empat algoritma lainnya dalam Testing algoritma. Setelah Testing, metode algoritma Random Forest menghasilkan nilai akurasi tertinggi, dan dievaluasi kembali menggunakan Split Validation dan rasio split yang bervariasi dengan Forward Selection sebagai fitu seleksi. Hanya Testing yang menggunakan metode Forward Selection mengungguli Testing yang menggunakan algoritma Random Forest.","PeriodicalId":32357,"journal":{"name":"Jurnal Sistem Informasi","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135040137","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 : 2023-09-30DOI: 10.32520/stmsi.v12i3.3516
Samsudin Samsudin, Ilyas Ilyas, Zulrahmadi Zulrahmadi, Faizal Tanjung
Metabolic syndrome is a disease that is considered trivial and common in society. When sufferers feel the effects of the disease, it will make treatment and healing difficult. To detect this disease early, an expert system application with the forward chaining method is needed so that this application makes it easier to detect disease early. The method for developing this system uses the waterfall method. System analysis and design using UML. System testing uses a black box where system test results are received. Application user testing, using statistical tests with Beta testing with a 95% confidence level, the system can be accepted and trusted. Based on these results, this system can be a solution for early detection of metabolic syndrome.
{"title":"Expert System for Diagnosing Metabolic Syndrome at The Tembilahan Regional General Hospital","authors":"Samsudin Samsudin, Ilyas Ilyas, Zulrahmadi Zulrahmadi, Faizal Tanjung","doi":"10.32520/stmsi.v12i3.3516","DOIUrl":"https://doi.org/10.32520/stmsi.v12i3.3516","url":null,"abstract":"Metabolic syndrome is a disease that is considered trivial and common in society. When sufferers feel the effects of the disease, it will make treatment and healing difficult. To detect this disease early, an expert system application with the forward chaining method is needed so that this application makes it easier to detect disease early. The method for developing this system uses the waterfall method. System analysis and design using UML. System testing uses a black box where system test results are received. Application user testing, using statistical tests with Beta testing with a 95% confidence level, the system can be accepted and trusted. Based on these results, this system can be a solution for early detection of metabolic syndrome.","PeriodicalId":32357,"journal":{"name":"Jurnal Sistem Informasi","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135039101","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 : 2023-09-30DOI: 10.32520/stmsi.v12i3.2943
Dewi Pratama Mastha Cahyaningrum, Norhikmah Norhikmah
Dewi Jaya Laundry provides a variety of laundry services. However, the administrative process and transactions with customers are still not computerized, so it can take more time and customers cannot do tracking of their clothes. To overcome these problems, a solution was built in the form of a website-based information system that has a Real Time Tracking feature. Primary data collection was obtained directly from the research site, namely Dewi Jaya Laundry located on Perumnas street by making direct observations at Dewi Jaya Laundry. Meanwhile, we gather secondary knowledge from scientific articles and books on database development for websites. It utilizes Waterfall research methodology and is built with PHP and MySQL databases. This system is built through the stages of analysis, design, development, and testing. The black box method is used for system testing, which emphasizes the functionality of the system. The system's ability to perform its intended functions has been verified by the test results. This research succeeded in developing a laundry information system that has a Real Time Tracking feature that functions to monitor customer laundry packages, so customers can know which stage of the washing or drying process is taking place, so they can know when clothes are ready to be taken.
Dewi Jaya Laundry提供各种洗衣服务。然而，管理流程和与客户的交易仍然没有电脑化，因此可能需要更多的时间，而且客户无法跟踪他们的衣服。为了克服这些问题，以具有实时跟踪功能的基于网站的信息系统的形式建立了解决方案。主要数据收集直接来自研究地点，即位于Perumnas街的Dewi Jaya Laundry，通过在Dewi Jaya Laundry进行直接观察获得。同时，我们从科学文章和书籍中收集关于网站数据库开发的辅助知识。它采用瀑布式研究方法，使用PHP和MySQL数据库构建。该系统的构建经历了分析、设计、开发和测试四个阶段。黑盒方法用于系统测试，它强调系统的功能。测试结果验证了该系统能够完成预期功能。这项研究成功地开发了一种洗衣信息系统，该系统具有实时跟踪功能，可以监控顾客的洗衣包裹，这样顾客就可以知道洗涤或干燥过程的哪个阶段正在进行，这样他们就可以知道衣服什么时候可以取走。
{"title":"Management of Tracking in Real Time on a Website-based Laundry Information System","authors":"Dewi Pratama Mastha Cahyaningrum, Norhikmah Norhikmah","doi":"10.32520/stmsi.v12i3.2943","DOIUrl":"https://doi.org/10.32520/stmsi.v12i3.2943","url":null,"abstract":"Dewi Jaya Laundry provides a variety of laundry services. However, the administrative process and transactions with customers are still not computerized, so it can take more time and customers cannot do tracking of their clothes. To overcome these problems, a solution was built in the form of a website-based information system that has a Real Time Tracking feature. Primary data collection was obtained directly from the research site, namely Dewi Jaya Laundry located on Perumnas street by making direct observations at Dewi Jaya Laundry. Meanwhile, we gather secondary knowledge from scientific articles and books on database development for websites. It utilizes Waterfall research methodology and is built with PHP and MySQL databases. This system is built through the stages of analysis, design, development, and testing. The black box method is used for system testing, which emphasizes the functionality of the system. The system's ability to perform its intended functions has been verified by the test results. This research succeeded in developing a laundry information system that has a Real Time Tracking feature that functions to monitor customer laundry packages, so customers can know which stage of the washing or drying process is taking place, so they can know when clothes are ready to be taken.","PeriodicalId":32357,"journal":{"name":"Jurnal Sistem Informasi","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135039954","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 : 2023-09-30DOI: 10.32520/stmsi.v12i3.2769
Linda Ayu Kusuma Ningrum, M Yoka Fathoni, RR Hutanti Setyodewi
The CGV Cinemas Indonesia application is an application that offers services for buying cinema tickets online. Even though the release of the CGV Cinemas Indonesia application was earlier than other cinema e-ticketing applications, this application actually has the lowest demand, judging from the application rating scale and the total number of downloads. Overall service quality can affect how satisfied users are. This study was conducted to evaluate the usability and service quality of the CGV Cinemas Indonesia application on user satisfaction using two related methods, namely the Heuristic Evaluation and Pieces Framework methods. Heuristic Evaluation is used to measure the extent of problems with the application's user interface. Pieces Framework is used to measure user satisfaction with application service quality. Where it is hoped that this research will produce recommendations for evaluating improvements related to CGV Cinemas Indonesia application problems. Based on the calculation results with the Heuristic Evaluation method, the average usability level is 67%. This percentage shows that the system has a good usability level. However, there are also several indicators that have a lower value than the minimum good system limit and need to be evaluated for improvement. In the results of calculations with the Pieces Framework, the final average satisfaction level is 3.5605; where in this case it can be concluded that the level of user satisfaction of the CGV Cinemas Indonesia application is included in the PUAS category. However, in terms of service quality, there are still several indicators on one dimension that need to be considered in the evaluation of improvements by application developers.
{"title":"Usability Evaluation of The Cinemas Indonesia CGV Application Using Heuristic Evaluation and Pieces Framework","authors":"Linda Ayu Kusuma Ningrum, M Yoka Fathoni, RR Hutanti Setyodewi","doi":"10.32520/stmsi.v12i3.2769","DOIUrl":"https://doi.org/10.32520/stmsi.v12i3.2769","url":null,"abstract":"The CGV Cinemas Indonesia application is an application that offers services for buying cinema tickets online. Even though the release of the CGV Cinemas Indonesia application was earlier than other cinema e-ticketing applications, this application actually has the lowest demand, judging from the application rating scale and the total number of downloads. Overall service quality can affect how satisfied users are. This study was conducted to evaluate the usability and service quality of the CGV Cinemas Indonesia application on user satisfaction using two related methods, namely the Heuristic Evaluation and Pieces Framework methods. Heuristic Evaluation is used to measure the extent of problems with the application's user interface. Pieces Framework is used to measure user satisfaction with application service quality. Where it is hoped that this research will produce recommendations for evaluating improvements related to CGV Cinemas Indonesia application problems. Based on the calculation results with the Heuristic Evaluation method, the average usability level is 67%. This percentage shows that the system has a good usability level. However, there are also several indicators that have a lower value than the minimum good system limit and need to be evaluated for improvement. In the results of calculations with the Pieces Framework, the final average satisfaction level is 3.5605; where in this case it can be concluded that the level of user satisfaction of the CGV Cinemas Indonesia application is included in the PUAS category. However, in terms of service quality, there are still several indicators on one dimension that need to be considered in the evaluation of improvements by application developers.","PeriodicalId":32357,"journal":{"name":"Jurnal Sistem Informasi","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135040002","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 : 2023-09-30DOI: 10.32520/stmsi.v12i3.2938
Yulika Pramesti Ningrum, Kristophorus Hadiono
In early 2020, the world was faced with the Covid-19 pandemic. The biggest impact of the pandemic was felt by the education sector, which prompted the government to develop an online learning program. This online learning will certainly affect student learning patterns. This study aims to determine changes in learning patterns that occurred before and during the Covid-19 pandemic. This research involved students of Stikubank University Semarang, Faculty of Information Technology and Industry class of 2019. The data obtained was analyzed statistically descriptive quantitatively including calculations of mean, median, standard deviation, validity tests, reliability tests, and graphs using R language. Based on the results of validity tests and reliability test, all indicators are valid and reliable. The results of the descriptive analysis of the indicator tests show that learning patterns decreased between before and during the Covid-19 pandemic. The indicator for planning learning activities has changed to the sub-indicator bringing reference books. The indicators for participating in learning activities also changed in the sub-indicator present before lectures. The indicators for making schedules and study notes also underwent changes in the sub-indicators for making notes/summaries of material which decreased significantly. The indicator for taking the exam also experienced a change in the sub-indicator for studying with friends. While the learning evaluation indicators also experienced changes in the sub-indicators working on practice questions.
{"title":"Analysis of Changes in Learning Patterns Before and During the Covid-19 Pandemic using Descriptive Statistical Methods","authors":"Yulika Pramesti Ningrum, Kristophorus Hadiono","doi":"10.32520/stmsi.v12i3.2938","DOIUrl":"https://doi.org/10.32520/stmsi.v12i3.2938","url":null,"abstract":"In early 2020, the world was faced with the Covid-19 pandemic. The biggest impact of the pandemic was felt by the education sector, which prompted the government to develop an online learning program. This online learning will certainly affect student learning patterns. This study aims to determine changes in learning patterns that occurred before and during the Covid-19 pandemic. This research involved students of Stikubank University Semarang, Faculty of Information Technology and Industry class of 2019. The data obtained was analyzed statistically descriptive quantitatively including calculations of mean, median, standard deviation, validity tests, reliability tests, and graphs using R language. Based on the results of validity tests and reliability test, all indicators are valid and reliable. The results of the descriptive analysis of the indicator tests show that learning patterns decreased between before and during the Covid-19 pandemic. The indicator for planning learning activities has changed to the sub-indicator bringing reference books. The indicators for participating in learning activities also changed in the sub-indicator present before lectures. The indicators for making schedules and study notes also underwent changes in the sub-indicators for making notes/summaries of material which decreased significantly. The indicator for taking the exam also experienced a change in the sub-indicator for studying with friends. While the learning evaluation indicators also experienced changes in the sub-indicators working on practice questions.","PeriodicalId":32357,"journal":{"name":"Jurnal Sistem Informasi","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135040135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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