Pub Date : 2023-08-31DOI: 10.47080/simika.v6i2.2711
Ananda Azizul Akbar, Akbar Bintang Izzulhaq, Nafilah Nursabila, Valentinus Roby Hananto
The economic growth in Indonesia has increased significantly, positioning Indonesia as the 4th largest economy after China, India, and Malaysia. This is also accompanied by national retail sales reaching a total of Rp6,044 trillion. One example of a retail business in Indonesia is Supermarket XYZ, which operates in Indonesia and sells essential items such as sugar, eggs, butter, and others. This research discusses an issue that exists in Indonesia, for example, Supermarket XYZ. The supermarket faces a problem with its employees struggling to determine the appropriate product layout based on consumer purchasing behavior. The market basket analysis method is used in this research to assist Supermarket XYZ's employees in determining the product layout. Transaction data is collected through internet searches, specifically on the Kaggle website. The data is then processed using the market basket analysis method, both manually and with the aid of the RapidMiner tool, to ensure the validity of the calculations. Once obtained, the results are implemented into a program to provide predictions for product placement layout. The research findings show that out of the 10 most purchased products by consumers, the top four products are chocolate, apples, bread, and ice cream. Furthermore, the suitable product combinations for layout placement yield 3 combinations: chocolate placed near apples with a support rate of 23%, chocolate placed near bread with a support rate of 22%, and chocolate placed near ice cream with a support rate of 21%.
{"title":"ANALISIS DATA PENJUALAN PADA SUPERMARKET XYZ MENGGUNAKAN METODE MARKET BASKET","authors":"Ananda Azizul Akbar, Akbar Bintang Izzulhaq, Nafilah Nursabila, Valentinus Roby Hananto","doi":"10.47080/simika.v6i2.2711","DOIUrl":"https://doi.org/10.47080/simika.v6i2.2711","url":null,"abstract":"The economic growth in Indonesia has increased significantly, positioning Indonesia as the 4th largest economy after China, India, and Malaysia. This is also accompanied by national retail sales reaching a total of Rp6,044 trillion. One example of a retail business in Indonesia is Supermarket XYZ, which operates in Indonesia and sells essential items such as sugar, eggs, butter, and others. This research discusses an issue that exists in Indonesia, for example, Supermarket XYZ. The supermarket faces a problem with its employees struggling to determine the appropriate product layout based on consumer purchasing behavior. The market basket analysis method is used in this research to assist Supermarket XYZ's employees in determining the product layout. Transaction data is collected through internet searches, specifically on the Kaggle website. The data is then processed using the market basket analysis method, both manually and with the aid of the RapidMiner tool, to ensure the validity of the calculations. Once obtained, the results are implemented into a program to provide predictions for product placement layout. The research findings show that out of the 10 most purchased products by consumers, the top four products are chocolate, apples, bread, and ice cream. Furthermore, the suitable product combinations for layout placement yield 3 combinations: chocolate placed near apples with a support rate of 23%, chocolate placed near bread with a support rate of 22%, and chocolate placed near ice cream with a support rate of 21%.","PeriodicalId":443734,"journal":{"name":"Jurnal Sistem Informasi dan Informatika (Simika)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133926309","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 make it easier to access data and make reports needed by those who need it. The method used in this study is the waterfall model, which begins with research on the current system, design, coding, and maintenance of archive management systems so that archive management information and archive management reports can run quickly, precisely and accurately. The results obtained from this study are regarding the design of a mooring information system that is integrated with a database to support the process of managing ship arrivals and departures easily, quickly, and accurately. In making a ship's arrival and departure certificate, it can be documented into a database, so that it can make it easier if you want to report ship arrival and departure data. The conclusion that can be drawn from this information system is that archive management can be well documented because it is equipped with a database, storage has become a single unit, can reduce redundancy or duplicate data, can display required mooring management information so that it can facilitate officers in making arrival management reports. and ship departure.
{"title":"PERANCANGAN SISTEM INFORMASI TAMBAT LABUH KAPAL DI PELABUHAN PERIKANAN NUSANTARA KARANGANTU","authors":"Mifta Farih, Masum Masum, Indra Gunawan, Huswatun Hasanah","doi":"10.47080/simika.v6i2.2820","DOIUrl":"https://doi.org/10.47080/simika.v6i2.2820","url":null,"abstract":"The purpose of this study is to make it easier to access data and make reports needed by those who need it. The method used in this study is the waterfall model, which begins with research on the current system, design, coding, and maintenance of archive management systems so that archive management information and archive management reports can run quickly, precisely and accurately. The results obtained from this study are regarding the design of a mooring information system that is integrated with a database to support the process of managing ship arrivals and departures easily, quickly, and accurately. In making a ship's arrival and departure certificate, it can be documented into a database, so that it can make it easier if you want to report ship arrival and departure data. The conclusion that can be drawn from this information system is that archive management can be well documented because it is equipped with a database, storage has become a single unit, can reduce redundancy or duplicate data, can display required mooring management information so that it can facilitate officers in making arrival management reports. and ship departure.","PeriodicalId":443734,"journal":{"name":"Jurnal Sistem Informasi dan Informatika (Simika)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115463461","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 : 2023-08-30DOI: 10.47080/simika.v6i2.2626
Karlena Indriani, Anastasia Siwi Fatma Utami, Ali Haidir, Ahmad Sinnun, Yopi Handrianto, Ade Christian, Hariyanto Hariyanto
This study was done at PT BPR Pandanaran Jaya so that the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method could be used to improve how employee work is judged. Employee performance is an important part of a company's growth, and employee performance evaluations are done to find high-performing workers and help them improve. In this study, it was found that PT BPR Pandanaran Jaya has hardworking workers who are very committed to doing their jobs well. But there are also workers who need to work on how well they do their jobs. The TOPSIS method is used to compare how well each employee does their job based on important factors. The data showed that Linda Luciana Anggraeni and Dwi Jasminto were the employees with the best performance ratings, followed by Rudi Purnama. Mita Safira Mediana, Mia Arifah, Gea Ananda, Indra Utama, and Yunia Ningrum, on the other hand, were given lower scores for their work. Overall, PT BPR Pandanaran Jaya has high-performing workers, but some of them could do better. So, the company can use the results of this review to come up with plans to help employees grow, give them more training, and give them the help they need to improve their total performance. With these steps, PT BPR Pandanaran Jaya should be able to reach its organizational goals and keep a skilled and productive work team.
{"title":"PENERAPAN METODE TOPSIS DALAM EVALUASI KINERJA PADA PT. BPR PANDANARAN JAYA","authors":"Karlena Indriani, Anastasia Siwi Fatma Utami, Ali Haidir, Ahmad Sinnun, Yopi Handrianto, Ade Christian, Hariyanto Hariyanto","doi":"10.47080/simika.v6i2.2626","DOIUrl":"https://doi.org/10.47080/simika.v6i2.2626","url":null,"abstract":"This study was done at PT BPR Pandanaran Jaya so that the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method could be used to improve how employee work is judged. Employee performance is an important part of a company's growth, and employee performance evaluations are done to find high-performing workers and help them improve. In this study, it was found that PT BPR Pandanaran Jaya has hardworking workers who are very committed to doing their jobs well. But there are also workers who need to work on how well they do their jobs. The TOPSIS method is used to compare how well each employee does their job based on important factors. The data showed that Linda Luciana Anggraeni and Dwi Jasminto were the employees with the best performance ratings, followed by Rudi Purnama. Mita Safira Mediana, Mia Arifah, Gea Ananda, Indra Utama, and Yunia Ningrum, on the other hand, were given lower scores for their work. Overall, PT BPR Pandanaran Jaya has high-performing workers, but some of them could do better. So, the company can use the results of this review to come up with plans to help employees grow, give them more training, and give them the help they need to improve their total performance. With these steps, PT BPR Pandanaran Jaya should be able to reach its organizational goals and keep a skilled and productive work team.","PeriodicalId":443734,"journal":{"name":"Jurnal Sistem Informasi dan Informatika (Simika)","volume":"21 25","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131840110","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 study focuses on the classification of batik patterns using image data, specifically with three classes: kawung, parang, and pekalongan batik patterns. A total of 180 images were used for the research, divided equally among the three motifs. The dataset was collected through observations from Google. Data preprocessing involved two stages. In the first stage, the data was split into training and validation sets, with a 70% - 30% ratio, respectively. This separation allowed for evaluating the model's performance and generalization ability on unseen data. In the second stage, the Image Data Generator library was utilized to enhance data diversity and improve the model's ability to generalize patterns. Data augmentation techniques, such as rotation, shear, zoom, horizontal flip, and shift, were applied to the training data. The augmented data was then fed into a pre-defined Convolutional Neural Network (CNN) architecture. The CNN model processed the input data through convolutional layers with max pooling and ReLU activation functions. The outputs from the first convolutional layer were used as inputs for subsequent convolutional layers. The resulting feature maps were flattened and passed through fully connected layers for classification. The model's performance was assessed by evaluating accuracy measures. The CNN model achieved the highest accuracy of 98% on the training data and 100% on the validation data after 7 epochs.. The implementation was done using Python programming language and the Google Colab platform, along with required libraries. Model evaluation involved assessing the trained model's performance by inputting test data and computing evaluation metrics, including accuracy, precision, recall, and F1-score. Confusion matrix analysis provided insights into true positive, true negative, false positive, and false negative predictions. The classification report summarized the performance metrics of the model. In conclusion, the CNN method proved effective in classifying batik patterns. The size of the input images significantly influenced the accuracy of the model. A 148x148 pixel image size yielded 100% accuracy. As a suggestion, future research should consider using a larger dataset to maximize the accuracy of the classification model.
{"title":"ANALISIS PENGARUH DIMENSI GAMBAR PADA KLASIFIKASI MOTIF BATIK DENGAN MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK","authors":"Syefudin Syefudin, Muchamad Nauval Azmi, Gunawan Gunawan","doi":"10.47080/simika.v6i2.2675","DOIUrl":"https://doi.org/10.47080/simika.v6i2.2675","url":null,"abstract":"This study focuses on the classification of batik patterns using image data, specifically with three classes: kawung, parang, and pekalongan batik patterns. A total of 180 images were used for the research, divided equally among the three motifs. The dataset was collected through observations from Google. Data preprocessing involved two stages. In the first stage, the data was split into training and validation sets, with a 70% - 30% ratio, respectively. This separation allowed for evaluating the model's performance and generalization ability on unseen data. In the second stage, the Image Data Generator library was utilized to enhance data diversity and improve the model's ability to generalize patterns. Data augmentation techniques, such as rotation, shear, zoom, horizontal flip, and shift, were applied to the training data. The augmented data was then fed into a pre-defined Convolutional Neural Network (CNN) architecture. The CNN model processed the input data through convolutional layers with max pooling and ReLU activation functions. The outputs from the first convolutional layer were used as inputs for subsequent convolutional layers. The resulting feature maps were flattened and passed through fully connected layers for classification. The model's performance was assessed by evaluating accuracy measures. The CNN model achieved the highest accuracy of 98% on the training data and 100% on the validation data after 7 epochs.. The implementation was done using Python programming language and the Google Colab platform, along with required libraries. Model evaluation involved assessing the trained model's performance by inputting test data and computing evaluation metrics, including accuracy, precision, recall, and F1-score. Confusion matrix analysis provided insights into true positive, true negative, false positive, and false negative predictions. The classification report summarized the performance metrics of the model. In conclusion, the CNN method proved effective in classifying batik patterns. The size of the input images significantly influenced the accuracy of the model. A 148x148 pixel image size yielded 100% accuracy. As a suggestion, future research should consider using a larger dataset to maximize the accuracy of the classification model.","PeriodicalId":443734,"journal":{"name":"Jurnal Sistem Informasi dan Informatika (Simika)","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131129366","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 : 2023-08-30DOI: 10.47080/simika.v6i2.2689
Mochamad Wisuda Sardjono, N. Sanjaya
The use of communication technology has penetrated into every field, including those related to medical consulting services. Smartphone devices not only function as a verbal communication tool, but can be used for online communication. With the development of computer programming languages, smartphone devices can be used more widely to serve consultations about health. Javascript is a programming language that is widely used in developing mobile applications. The React Native framework is used to design mobile applications so that they are easy to use via smartphone devices without going through a web application. In this study UML is used as an application design method and firebase as a data storage medium. The trials were carried out using BlackBox Testing on 4 smartphone devices based on the Android operating system with different specifications. In addition, trials were also carried out on every function in the Doctor-Patient Consultation application involving 25 respondents by providing an assessment. The test results show that the use of the React Native framework maximizes the design of Android-based mobile applications. Of the 4 smartphone devices, all functions in the application went well, apart from that, 25 respondents who gave an assessment of more than 65% stated that they agreed and strongly agreed with each statement regarding the application.
{"title":"APLIKASI KONSULTASI DOKTER-PASIEN SECARA ONLINE BERBASIS ANDROID MENGGUNAKAN REACT NATIVE","authors":"Mochamad Wisuda Sardjono, N. Sanjaya","doi":"10.47080/simika.v6i2.2689","DOIUrl":"https://doi.org/10.47080/simika.v6i2.2689","url":null,"abstract":"The use of communication technology has penetrated into every field, including those related to medical consulting services. Smartphone devices not only function as a verbal communication tool, but can be used for online communication. With the development of computer programming languages, smartphone devices can be used more widely to serve consultations about health. Javascript is a programming language that is widely used in developing mobile applications. The React Native framework is used to design mobile applications so that they are easy to use via smartphone devices without going through a web application. In this study UML is used as an application design method and firebase as a data storage medium. The trials were carried out using BlackBox Testing on 4 smartphone devices based on the Android operating system with different specifications. In addition, trials were also carried out on every function in the Doctor-Patient Consultation application involving 25 respondents by providing an assessment. The test results show that the use of the React Native framework maximizes the design of Android-based mobile applications. Of the 4 smartphone devices, all functions in the application went well, apart from that, 25 respondents who gave an assessment of more than 65% stated that they agreed and strongly agreed with each statement regarding the application.","PeriodicalId":443734,"journal":{"name":"Jurnal Sistem Informasi dan Informatika (Simika)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132100684","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 : 2023-08-29DOI: 10.47080/simika.v6i2.2819
Diyan Rianti, Riri Okra, H. A. Musril, Sarwo Derta
The research conducted refers to the problems found when the authors made observations at MTsN 6 Agam.This is motivated by difficulties in handling queues during the process of borrowing books, the limitednumber of printed books in the library so that they cannot borrow and read books. There is limited time forborrowing books at the library and it takes quite a long time in the process of borrowing books. Given theseproblems, the authors designed a mobile-based e-Library application at MTsN 6 Agam. The purpose of thisresearch is to produce a mobile-based e-library application that can be used properly, practically, andeffectively. The author uses the “Research and Development”(R&D) or development method. Thedevelopment model used is the prototype. The results of this study are in the form of a mobile-based e-libraryapplication with the Android operating system that can be used by students and teachers wherever andwhenever they are. The results of the validity test were carried out by three expert examiners, namely expertsgetting a value of 0.91 with valid criteria, then the results of the practicality test conducted by two examiners,namely getting a score of 98% with very practical criteria. Furthermore, the results of the effectiveness testconducted by fifteen examiners, namely students at MTsN 6 Agam, obtained an average score of 0.89 witha very high category.
{"title":"PERANCANGAN APLIKASI E-LIBRARY BERBASIS MOBILE DI MTsN 6 AGAM","authors":"Diyan Rianti, Riri Okra, H. A. Musril, Sarwo Derta","doi":"10.47080/simika.v6i2.2819","DOIUrl":"https://doi.org/10.47080/simika.v6i2.2819","url":null,"abstract":"The research conducted refers to the problems found when the authors made observations at MTsN 6 Agam.This is motivated by difficulties in handling queues during the process of borrowing books, the limitednumber of printed books in the library so that they cannot borrow and read books. There is limited time forborrowing books at the library and it takes quite a long time in the process of borrowing books. Given theseproblems, the authors designed a mobile-based e-Library application at MTsN 6 Agam. The purpose of thisresearch is to produce a mobile-based e-library application that can be used properly, practically, andeffectively. The author uses the “Research and Development”(R&D) or development method. Thedevelopment model used is the prototype. The results of this study are in the form of a mobile-based e-libraryapplication with the Android operating system that can be used by students and teachers wherever andwhenever they are. The results of the validity test were carried out by three expert examiners, namely expertsgetting a value of 0.91 with valid criteria, then the results of the practicality test conducted by two examiners,namely getting a score of 98% with very practical criteria. Furthermore, the results of the effectiveness testconducted by fifteen examiners, namely students at MTsN 6 Agam, obtained an average score of 0.89 witha very high category.","PeriodicalId":443734,"journal":{"name":"Jurnal Sistem Informasi dan Informatika (Simika)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121659825","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 : 2023-08-28DOI: 10.47080/simika.v6i2.2789
Erna Nurmawati, Adielia Amanda
Annually, the Central Bureau of Statistics, known in Indonesia as BPS or Badan Pusat Statistik, conducts a routine Data Needs Survey (Survei Kebutuhan Data or SKD) to identify data requirements and the level of consumer satisfaction with the quality of data produced by BPS. However, SKD respondents are limited to consumers who have received services from the Integrated Statistics Services (Pelayanan Statistik Terpadu or PST) unit at BPS within a specific year. To gather opinions from the wider public accessing BPS data through channels other than the PST unit, an alternative approach is necessary – particularly through social media, specifically Twitter. This study employs Twitter data to analyze public sentiment regarding BPS data. To understand the distribution of topics discussed within the community about BPS data indicators, topic modeling has been employed. The sentiment analysis process utilizes IndoBERT, an Indonesian language Bidirectional Encoder Representations from Transformers (BERT) model. For topic modeling, the Latent Dirichlet Allocation (LDA) method is utilized. The results of sentiment analysis during the period 2020 - 2022 reveal that tweets related to BPS data generally convey a neutral sentiment. Meanwhile, the topic modeling process generates a range of topics, with variations observed in each year. Throughout 2020 - 2022, the most frequently discussed topics align with the statistical data from the 2020 - 2022 Data Needs Survey's data requirements section, reflecting the diversity of data needs.
{"title":"ANALISIS SENTIMEN DAN PEMODELAN TOPIK PADA TWEET TERKAIT DATA BADAN PUSAT STATISTIK","authors":"Erna Nurmawati, Adielia Amanda","doi":"10.47080/simika.v6i2.2789","DOIUrl":"https://doi.org/10.47080/simika.v6i2.2789","url":null,"abstract":"Annually, the Central Bureau of Statistics, known in Indonesia as BPS or Badan Pusat Statistik, conducts a routine Data Needs Survey (Survei Kebutuhan Data or SKD) to identify data requirements and the level of consumer satisfaction with the quality of data produced by BPS. However, SKD respondents are limited to consumers who have received services from the Integrated Statistics Services (Pelayanan Statistik Terpadu or PST) unit at BPS within a specific year. To gather opinions from the wider public accessing BPS data through channels other than the PST unit, an alternative approach is necessary – particularly through social media, specifically Twitter. \u0000This study employs Twitter data to analyze public sentiment regarding BPS data. To understand the distribution of topics discussed within the community about BPS data indicators, topic modeling has been employed. The sentiment analysis process utilizes IndoBERT, an Indonesian language Bidirectional Encoder Representations from Transformers (BERT) model. For topic modeling, the Latent Dirichlet Allocation (LDA) method is utilized. \u0000The results of sentiment analysis during the period 2020 - 2022 reveal that tweets related to BPS data generally convey a neutral sentiment. Meanwhile, the topic modeling process generates a range of topics, with variations observed in each year. Throughout 2020 - 2022, the most frequently discussed topics align with the statistical data from the 2020 - 2022 Data Needs Survey's data requirements section, reflecting the diversity of data needs.","PeriodicalId":443734,"journal":{"name":"Jurnal Sistem Informasi dan Informatika (Simika)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130367136","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}
Micro, Small and Medium Enterprises (MSME), plays a role in improving people's welfare and incresing bruto income. With the support of IT for running MSMEs, it has proven to help the sustainability of MSMEs, especially during a pandemic. For this reason, we conducted a research by building a mobile applications to support MSME. This application has a minimum specification limit using Android 10 (Android Q) version. The application has the following functions (Silvanie et al., 2023) detects the current location based on GPS and Android location, (Wika Undari, 2021) displays the user's map from Google Maps and shows the user's position, (Rambe et al., 2022) retrieves UMKM data either briefly or in detail based on the closest distance to user position,(Alimuddin, 2021) the feature of registering as a member with more authority such as giving a rating. The SDLC Waterfall method is used to build the application. Calculation of the distance between the user and the MSME location is done by the Haversine formula. From the results of black box testing and the feasibility testing of the beta version, it is summarized as follows: 33% consider the application quite feasible, 66.7% consider the application feasible, 62.5% willingly to spend money to subscribe and 37.5% do not want to spend money.
{"title":"RANCANG BANGUN APLIKASI ANDROID UNTUK MENEMUKAN LOKASI UMKM TERDEKAT DENGAN GOOGLE MAP API DAN HAVERSINE DISTANCE","authors":"Syamsul Hidayat, Astried Silvanie, Rr. Aryanti Kristantini, Rino Subekti","doi":"10.47080/simika.v6i2.2729","DOIUrl":"https://doi.org/10.47080/simika.v6i2.2729","url":null,"abstract":"Micro, Small and Medium Enterprises (MSME), plays a role in improving people's welfare and incresing bruto income. With the support of IT for running MSMEs, it has proven to help the sustainability of MSMEs, especially during a pandemic. For this reason, we conducted a research by building a mobile applications to support MSME. This application has a minimum specification limit using Android 10 (Android Q) version. The application has the following functions (Silvanie et al., 2023) detects the current location based on GPS and Android location, (Wika Undari, 2021) displays the user's map from Google Maps and shows the user's position, (Rambe et al., 2022) retrieves UMKM data either briefly or in detail based on the closest distance to user position,(Alimuddin, 2021) the feature of registering as a member with more authority such as giving a rating. The SDLC Waterfall method is used to build the application. Calculation of the distance between the user and the MSME location is done by the Haversine formula. From the results of black box testing and the feasibility testing of the beta version, it is summarized as follows: 33% consider the application quite feasible, 66.7% consider the application feasible, 62.5% willingly to spend money to subscribe and 37.5% do not want to spend money.","PeriodicalId":443734,"journal":{"name":"Jurnal Sistem Informasi dan Informatika (Simika)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115519000","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 : 2023-08-26DOI: 10.47080/simika.v6i2.2536
Taufik Maulana, A. Voutama
Website testing is the verification phase whether the website is working properly or not. If there are still errors, they must be corrected so that the website created reaches its goals and is of good quality. The website of the Department of Population Control and Family Planning (DPPKB) of Karawang Regency is being tested. With the name of the website, namely kbinten.id, this website is the official website of the Karawang Regency DPPKB which is used as a place for information about family planning programs in Karawang Regency, which is web-based for the community and consists of two parts, namely the website as an administrative panel and based on the website used by the username. Testing is conducted on a black box utilizing the Equivalence Partitions method. Black box testing allows for an external assessment of the program's functionality without knowledge of the underlying code. The Equivalence Partitions technique is employed to validate data inputted into various forms or pages on the kbinten.id website. Each input value is systematically examined and categorized into test cases yielding either valid or invalid outcomes. The objective of testing on kbinten.id is to identify and rectify implementation errors promptly, thereby expediting the error correction process.
{"title":"A BLACK BOX TESTING DENGAN TEKNIK EQUIVALENCE PARTITIONS PADA WEBSITE DINAS PENGENDALIAN PENDUDUK DAN KELUARGA BERENCANA KARAWANG","authors":"Taufik Maulana, A. Voutama","doi":"10.47080/simika.v6i2.2536","DOIUrl":"https://doi.org/10.47080/simika.v6i2.2536","url":null,"abstract":"Website testing is the verification phase whether the website is working properly or not. If there are still errors, they must be corrected so that the website created reaches its goals and is of good quality. The website of the Department of Population Control and Family Planning (DPPKB) of Karawang Regency is being tested. With the name of the website, namely kbinten.id, this website is the official website of the Karawang Regency DPPKB which is used as a place for information about family planning programs in Karawang Regency, which is web-based for the community and consists of two parts, namely the website as an administrative panel and based on the website used by the username. Testing is conducted on a black box utilizing the Equivalence Partitions method. Black box testing allows for an external assessment of the program's functionality without knowledge of the underlying code. The Equivalence Partitions technique is employed to validate data inputted into various forms or pages on the kbinten.id website. Each input value is systematically examined and categorized into test cases yielding either valid or invalid outcomes. The objective of testing on kbinten.id is to identify and rectify implementation errors promptly, thereby expediting the error correction process.","PeriodicalId":443734,"journal":{"name":"Jurnal Sistem Informasi dan Informatika (Simika)","volume":"329 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124643132","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 : 2023-02-28DOI: 10.47080/simika.v6i1.2351
Yohanes Malvin Buntoro, Putri Nastiti, C. H. Primasari, Y. Wibisono, Julius Galih Prima Negara
The Gamelan Metaverse Project is a project for creating the Virtual Reality Metaverse Gamelan application with an Agile Scrum framework that aims to educate people about gamelan and how to play it. This project was carried out by apprentices from PT Arutala, which consisted of students from several universities in Yogyakarta. Project participants were asked to use a project management tool, Notion, in the hope of facilitating coordination and reducing miscommunication. The purpose of this study is to determine what factors influence apprentices' acceptance of Notion at PT Arutala, as well as how helpful the apprentices are when using Notion. This research will use the Technology Acceptance Model (TAM) model in analyzing Notion acceptance factors for PT Arutala apprentices. The author used the TAM model to investigate the variables that influenced the acceptance of Notion among the Arutala internship.The research used seven hypotheses in the TAM model to determine its level of acceptance, and found that all hypotheses had a positive relationship, with six of them are significant and one is not significant.These results was obtained by running path coefficient and t-stistic test on the TAM model that author used.This research concludes that while the interns have acknowledged the benefits form using Notion, it requires time for them to incorporate its usage into their project management routine.
{"title":"ANALISIS TINGKAT PENERIMAAN PENGGUNAAN NOTION DALAM MENERAPKAN AGILE SCRUM PADA PROYEK GAMELAN METAVERSE","authors":"Yohanes Malvin Buntoro, Putri Nastiti, C. H. Primasari, Y. Wibisono, Julius Galih Prima Negara","doi":"10.47080/simika.v6i1.2351","DOIUrl":"https://doi.org/10.47080/simika.v6i1.2351","url":null,"abstract":"The Gamelan Metaverse Project is a project for creating the Virtual Reality Metaverse Gamelan application with an Agile Scrum framework that aims to educate people about gamelan and how to play it. This project was carried out by apprentices from PT Arutala, which consisted of students from several universities in Yogyakarta. Project participants were asked to use a project management tool, Notion, in the hope of facilitating coordination and reducing miscommunication. The purpose of this study is to determine what factors influence apprentices' acceptance of Notion at PT Arutala, as well as how helpful the apprentices are when using Notion. This research will use the Technology Acceptance Model (TAM) model in analyzing Notion acceptance factors for PT Arutala apprentices. The author used the TAM model to investigate the variables that influenced the acceptance of Notion among the Arutala internship.The research used seven hypotheses in the TAM model to determine its level of acceptance, and found that all hypotheses had a positive relationship, with six of them are significant and one is not significant.These results was obtained by running path coefficient and t-stistic test on the TAM model that author used.This research concludes that while the interns have acknowledged the benefits form using Notion, it requires time for them to incorporate its usage into their project management routine.","PeriodicalId":443734,"journal":{"name":"Jurnal Sistem Informasi dan Informatika (Simika)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133211146","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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