JURNAL TEKNOLOGI DAN OPEN SOURCE最新文献

{"title":"Go-Gallon App With A Star (A*) Algorithm Implementation Using Android Kotlin","authors":"Khusaeri Andesa, Herwin Herwin, Torkis Nasution","doi":"10.36378/jtos.v5i1.2066","DOIUrl":"https://doi.org/10.36378/jtos.v5i1.2066","url":null,"abstract":"The need for drinking water now is not to boil water, but to buy it in the form of gallon bottles, which are available wherever it is sold, either at the refill of water or in the supermarket. In a housing estate with many heads of families, it is also difficult to find and obtain water in gallon bottles under certain conditions, and there is also the problem that there is only one brand of gallon bottles, which also makes it difficult to obtain. For this reason, the author provides a solution by creating a go-gallon application with the application of the A-Star (A*) algorithm to be able to detect the service takers of the nearest people, which is basically intended for residential environments, where with this application others can ask to find and purchase gallons and then deliver them to their homes. The A-Star algorithm is one of the distance search algorithms that has an optimal and complete ability to solve problems related to finding or determining a route with the least distance. The hope is that with this application, especially housewives, there is no need to worry when they run out of gallons of drinking water at home, enough with this application, these problems can be overcome.","PeriodicalId":114474,"journal":{"name":"JURNAL TEKNOLOGI DAN OPEN SOURCE","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115696595","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}

{"title":"Implementation of K-Means Clustering Algorithm for Grouping Traffic Violation Levels in Siak","authors":"Bias Arbi Fauzan, M. Jamaris, Junadhi Junadhi","doi":"10.36378/jtos.v5i1.2427","DOIUrl":"https://doi.org/10.36378/jtos.v5i1.2427","url":null,"abstract":"Traffic offences often occur in different regions, ranging from mild to moderate to severe. The categories of offences include not carrying a Driver's Licence, stnk (Vehicle Number Certificate) or stck (Vehicle Trial Certificate) is invalid, not wearing a seat belt, not turning on headlights during the day and under certain conditions, disobeying traffic signs, disobeying traffic signals. Moderate offences include not having a Driver's Licence, not concentrating while driving and breaking the door of the drawbar. Serious violations include deviating from other vehicles on the road, damaging and interfering with road functions, not insuring one's own responsibility and not insuring staff and passengers. In this study, the K-Means algorithm was used with the aim of obtaining information on data groups of traffic violations based on the time of the incident so that the cause of the traffic violations that occurred in Tasikmalaya City is known. Based on the validation with Davies Bouldin Index metric, 4 clusters were identified which can group the data well. The PerformanceVector results from the assessment of the clusters resulted in 4 clusters with a value of 0.134. Cluster 1 with the most data violations amounting to 74 violations occurred at night, Cluster 2 with the most violations amounting to 16 violations occurred during the day, Cluster 3 with the most violations amounting to 6 violations occurred in the afternoon and Cluster 4 with the most violations amounting to 113 violations occurred in the morning.","PeriodicalId":114474,"journal":{"name":"JURNAL TEKNOLOGI DAN OPEN SOURCE","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134075097","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}

{"title":"Implementation of Fuzzy Logic Using Mamdani Method to Determine The Quantity of Bag Production (Case Study In Roman Indah Padang Bag Factory)","authors":"Dwipa Junika Putra, N. Nofriadi, Erlinda Erlinda","doi":"10.36378/jtos.v5i1.2220","DOIUrl":"https://doi.org/10.36378/jtos.v5i1.2220","url":null,"abstract":"Roman Indah bag Factory is a bag manufacturing company that receives orders from customers every month. Fuzzy Logic is used to define the production known so far, so that the preferred result can be used as a basis for manager's decision. In the calculation process, Fuzzy Logic Mamdani requires maximum and minimum production data, maximum and minimum demand data, and maximum and minimum inventory data. Fuzzy logic is able to map an input into an output without factor factors. Fuzzy logic is used to create a model of a system that is able to determine the quantity of production. the factors that affect the quantity of production. Fuzzy logic is called the old new logic because the science of modern fuzzy logic and methodological was discovered only a few years ago, in fact the concept of fuzzy logic itself has been in us for a long time. Mamdani method is the most common method when it comes to fuzzy methodology. Mamdani method uses a set of IF-THEN rules derived from experienced operators/experts. The Mamdani model is often known as the Max-Min model. By using Mamdani method in Roman Indah handbag factory can assist in the efficiency of time and labour, because using Mamdani method can calculate the amount of production in the next month, so from the results can be derived consideration material decision by the manager, whether in determining raw materials, promotion, bag model, consumer, HR, etc. so that more company profits.","PeriodicalId":114474,"journal":{"name":"JURNAL TEKNOLOGI DAN OPEN SOURCE","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127002609","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}

{"title":"The Effectiveness of The Marriage Management Information System (SIMKAH) Program as an Effort to Prevent Data Manipulation","authors":"Bambang Hardiyanto Laga, Aplonia Pala, Anita Lassa","doi":"10.36378/jtos.v5i1.2239","DOIUrl":"https://doi.org/10.36378/jtos.v5i1.2239","url":null,"abstract":"The problem in this study is that there are some Muslims who are trying to manipulate marriage data because they want to perform a nationwide legal double marriage. With this problem that occurs almost in all parts of Indonesia, the Director General of Bimas Islam issued the instruction number DJ.II/369 of 2013 on the implementation of the Marriage Management Information System (SIMKAH) in the Office of Religious Affairs (KUA) sub-district The problem in this study is that there are some Muslims who try to manipulate marriage data because they want to perform a nationwide legal double marriage. However, when using the SIMKAH application, there are also recurring server errors caused by dense access to the central SIMKAH server. The purpose of this study is to describe the effectiveness of the Marriage Management Information System Program (SIMKAH) to prevent data manipulation in the Religious Affairs Office (KUA) of Kefamenanu City District, TTU Regency. This research is a descriptive research with a qualitative approach, so the technical data analysis is presented in the form of a presentation or overview of the findings in the field, both in the form of data and information from interviews and other documents. The results of the research in the field show that since the use of SIMKAH application, KUA Kefamenanu Municipality recorded as many as 18 data manipulation experiments conducted in 2018-2020. This SIMKAH application is very effective in the effort to prevent manipulation of marriage data, because the SIMKAH application has been linked to the data of DUKCAPIL, so that only by entering the NIK of the bride and groom, all the data will appear automatically, starting from name, birthplace, date, address, parents' name and marital status. Future brides whose dates are married will need to provide a divorce certificate to register a second marriage, which will be uploaded to the SIMKAH application. If the person cannot provide the divorce certificate, the marriage registration process will not proceed.","PeriodicalId":114474,"journal":{"name":"JURNAL TEKNOLOGI DAN OPEN SOURCE","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132296975","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}

{"title":"Application of Artificial Intelligence In The Detection Of Plant Diseases (Clubroot)","authors":"Mochammad Iswan, Mhd Gilang Suryanata, Deski Helsa Pane, Khairi Ibnutama, Rian Farta Wijaya","doi":"10.36378/jtos.v5i1.2372","DOIUrl":"https://doi.org/10.36378/jtos.v5i1.2372","url":null,"abstract":"Indonesia is a tropical country with diverse flora and fauna stretching from west to east. One of the cabbage plants grown in Indonesia has many benefits for human health. Cabbage plants are susceptible to diseases such as pests and pathogens. One of them is clubroot disease, which causes the plant not to grow and develop. Based on the above problems, it is necessary to have a system to support farmers in the scientific field of expert systems that uses the Certainty Factor method to diagnose the nature of clubroot disease. It is hoped that this system can provide information more quickly on whether or not cabbage plants have clubroot disease. The results of this study represent an integrated system capable of solving problems in cabbage plants, especially in the diagnosis of clubroot disease. It is hoped that the applied system can be further developed together with technological developments","PeriodicalId":114474,"journal":{"name":"JURNAL TEKNOLOGI DAN OPEN SOURCE","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121291252","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}

{"title":"Attendance Mobile Application With Face Recognition and Detect Location","authors":"Andika Bayu Hasta Yanto, Ahmad Fauzi, Novita Indriyani","doi":"10.36378/jtos.v5i1.2187","DOIUrl":"https://doi.org/10.36378/jtos.v5i1.2187","url":null,"abstract":"Every company must have an attendance policy for each of its employees for the purpose of employee attendance and performance reports in the performance of their work, but currently there are still many companies that still have an absence system that is not computerized, so the calculation and accounting process is still done manually, because everything is calculated manually, it is possible that there are errors in the calculations and take time to process data absence of all employees. Therefore, an application that can automatically process and record data is needed to avoid errors and speed up the data processing process. In addition, the application can facilitate employees' attendance as it can be accessed directly from cell phones by using facial recognition and location detection to prove the attendance of employees.","PeriodicalId":114474,"journal":{"name":"JURNAL TEKNOLOGI DAN OPEN SOURCE","volume":"729 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116985121","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}

{"title":"INFLUENCE OF EMPLOYEE COMPETENCE AND WORK ENVIRONMENT ON THE QUALITY OF FIRE MANAGEMENT SERVICES WITH AHP METHOD","authors":"Dewi Laraswati, M. Marlina, Indarti Indarti","doi":"10.36378/jtos.v4i2.1856","DOIUrl":"https://doi.org/10.36378/jtos.v4i2.1856","url":null,"abstract":"The purpose of this study is to find out the influence of employee competence and the work environment on the quality of fire management services in the South Jakarta Administrative City Fire and Rescue Service Tribe. The method used is a quantitative method through the dissemination of questionnaires, with a population of 473 people or respondents and the sample is 83 people using SPSS Version 23 for windows with the aim to facilitate and ensure the calculation and processing of data has been done correctly.","PeriodicalId":114474,"journal":{"name":"JURNAL TEKNOLOGI DAN OPEN SOURCE","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125111935","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}

{"title":"IMPLEMENTATION OF ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM (ANFIS) METHOD ON RICE PRICE PREDICTION IN LUBUKLINGGAU CITY","authors":"Zulfauzi -, B. Santoso, M. Arifin, Siti Nuraisyah","doi":"10.36378/jtos.v4i2.1847","DOIUrl":"https://doi.org/10.36378/jtos.v4i2.1847","url":null,"abstract":"The problem behind this research is the imbalance between the capacity offered and the capacity demanded by the community, resulting in uncontrolled rice prices, so it is necessary to predict rice price in the future to monitor the stability of rice prices in the Lubuklinggau City area. In this study, the Adaptive Neuro-Fuzzy Inference System (ANFIS) method was used to predict future rice prices. The sample used in this study is data on rice price in Lubuklinggau City from January 2016 to December 2020. The result of the prediction of rice price in the Lubuklinggau City area for the next five years. With the accuracy value in rice price predictions based on MSE training, numely 99,9037% and based on the MSE test that is 99,8784%. While the accuracy values of rice price predictions based on MAPE training and testing are 93,2997% and 88,2782%, respectively. For the accuracy value of rice price prediction result based on the MSE and MAPE values respectively namely 99,8935% and 92,9212%. It can be concluded that the ANFIS method is very effectively used for the process of predicting a price or value in the future","PeriodicalId":114474,"journal":{"name":"JURNAL TEKNOLOGI DAN OPEN SOURCE","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114846924","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}

{"title":"Evaluation of User Experience Information Systems Using Heuristic Evaluation (Case Study of STMIK Amik Riau Student Portal)","authors":"Heru Satria Surya, Benino Giordiola Millenio, Junadhi Junadhi, Silvyana Dwi Putri","doi":"10.36378/jtos.v4i2.1790","DOIUrl":"https://doi.org/10.36378/jtos.v4i2.1790","url":null,"abstract":"The academic information system is an important system to supports lecture activities. Is used by almost all elements in the university, both students, lecturers, staff and leaders. This research uses Heuristic Evaluation as an inference method to assess the components of learnability, efficiency, memorability, errors, and satisfaction. for various cases, such as designing academic and corporate websites with reference to these problems, it is necessary to evaluate the usability of STMIK Amik Riau information system. STMIK Amik Riau implements an integrated information system to support fast and real-time information management processes of STMIK Amik Riau information system includes various services such as E-KRS, E-KTM, E-EDOM, and other information. The aim is to identify problems related to the usability of the website. The data collection method in this research was carried out using questionnaire, containing a list of questions distributed via google form to respondents, its about 100 students of STMIK Amik Riau. Based on the analysis conducted using the Heuristic Evaluation method, the evaluation results of STMIK Amik Riau web portal have met the usability criteria with an average of 78.71915% where P > 60% and provides user satisfaction in accessing STMIK Amik Riau web portal. STMIK Amik Riau's web interface design is quite good. These results are based on the results of Likert scale score which states that the respondents agree.","PeriodicalId":114474,"journal":{"name":"JURNAL TEKNOLOGI DAN OPEN SOURCE","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116116947","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}

{"title":"Particle Swarm Optimization-based Support Vector Machine Method for Sentiment Analysis in OVO Digital Payment Applications","authors":"Retno Sari, R. Y. Hayuningtyas","doi":"10.36378/jtos.v4i2.1776","DOIUrl":"https://doi.org/10.36378/jtos.v4i2.1776","url":null,"abstract":"Sentiment analysis is used to analyze reviews of a place or item from an application or website that then classified the review into positive reviews or negative reviews. reviews from users are considered very important because it contains information that can make it easier for new users who want to choose the right digital payment. Reviews about digital payment ovo are so much that it is difficult for prospective users of ovo digital payment applications to draw conclusions about ovo digital payment information. For this reason, a classification method is needed in this study using support vector machine and PSO methods. In this study, we used 400 data that were reduced to 200 positive reviews and 200 negative reviews. The accuracy obtained by using the support vector machine method of 76.50% is in the fair classification, while the accuracy obtained by using the support vector machine and Particle Swarm Optimization (PSO) method is 82.75% which is in good classification.","PeriodicalId":114474,"journal":{"name":"JURNAL TEKNOLOGI DAN OPEN SOURCE","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124235260","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}