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All Journal Format : Jurnal Imiah Teknik Informatika JIKO (Jurnal Informatika dan Komputer) Respati JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Pengabdian kepada Masyarakat International Journal of Social Science Jurnal Cakrawala Ilmiah Journal of Innovation Research and Knowledge Jurnal Pengabdian Masyarakat - Teknologi Digital Indonesia Journal of International Conference Proceedings Jurnal Pengabdian kepada Masyarakat
Deborah Kurniawati
Universitas Teknologi Digital Indonesia
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Public Health Social Sciences Other

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Journal : Journal of International Conference Proceedings

 1 
Implementation of AHP and SAW Methods for Optimization of Decision Recommendations Deborah Kurniawati; Febri Nova Lenti; Rudi Wahyu Nugroho
Journal of International Conference Proceedings (JICP) Vol 4, No 1 (2021): Proceedings of the 9th International Conference of Project Management (ICPM) Mal
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jicp.v4i1.1152

Abstract

Differences in interest in decision making are one of the things that must be facilitated in decision support applications. The most basic difference of interest in decision making is the difference in the weight of the importance of each criterion used. Each decision maker has their own interest in the criteria used. If these differences can be facilitated properly, the resulting decision recommendations can be optimal, in this case more in line with the interests of the users. The model is designed using the Analytical Hierarchy Process (AHP) and Simple Additive Weight (SAW) methods, using 5 criteria. The final result of the AHP method is in the form of criteria weights that are in accordance with the interests of decision makers and in accordance with the consistency of the comparisons that have been given. The resulting weight will be used in the final calculation of SAW, namely in the calculation of alternative weights. By using AHP, the weight of the criteria becomes more subjective according to the interests of decision makers. Thus, the resulting alternative recommendations become more optimal because they are in accordance with the needs of decision makers.
Development of The Nearest Tourism Determination Application using Dijkstra Algorithm Edi Iskandar; Edy Prayitno; Deborah Kurniawati; Al Amin Ali Imron
Journal of International Conference Proceedings (JICP) Vol 2, No 1 (2019): Proceedings of the 3rd International Conference of Project Management (ICPM) Bal
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jicp.v2i1.421

Abstract

By applying information and communication technology, an application can be developed that can help tourists determine the fastest route to reach tourist destinations, to avoid wasting time on trips. This study aims to create a prototype mobile application that can help tourists determine the path with the shortest route to tourist attractions. The research was carried out by using the Dijkstra algorithm and web service to access the tourism database in Bantul Regency, Yogyakarta Special Region as a case study. The fastest route generated by this application is compared to the route suggested by Google Map with a result of 7.24 km and 7.4 km. From the results of these comparisons it can be concluded that the application can determine the closest route from the various alternatives available.
Test of Easy Factors and The Utilization of University Website in Supporting Student Learning Processes Edy Prayitno; Deborah Kurniawati; Dini Fakta Sari; Muhammad Abdullah Alhusni
Journal of International Conference Proceedings (JICP) Vol 2, No 1 (2019): Proceedings of the 3rd International Conference of Project Management (ICPM) Bal
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jicp.v2i1.422

Abstract

The existence of a university website is an integral part of the existence of the university itself. But it is necessary to test the acceptance of the website for the user, how does the influence of the university website on student learning. The study was conducted using a quantitative descriptive approach with multiple linear regression analysis tools. Questionnaires were conducted on students as one of the website users by asking about the ease and usefulness of the website. Simultaneous test results on perceptions of benefits and perceptions of convenience show the results of Fcount in column F as much as 149,180, with a significance of 0,000, greater than the value of Ftable which is 0,139 with an error rate of 5% or in other words Fcount> Ftable (149,180> 0,139). Based on hypothesis testing criteria if Fcount> Ftable with a significance level of 0.000 Ftable (149,180> 0,139). Based on hypothesis testing criteria if Fcount> Ftable with a significance level of 0.000
Sentiment Analysis of Twitter Use on Policy Institution Services using Naïve Bayes Classifier Method Deborah Kurniawati; Edy Prayitno; Dini Fakta Sari; Septian Narsa Putra
Journal of International Conference Proceedings (JICP) Vol 2, No 1 (2019): Proceedings of the 3rd International Conference of Project Management (ICPM) Bal
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jicp.v2i1.409

Abstract

Twitter is one of the social media used to respond to various services of public service institutions, including the police. The research aims to determine the community's assessment of the services and performance of police institutions delivered via Twitter. This study uses the Naïve Bayes Classifier algorithm to classify topics and public sentiment towards tweets from police agencies. The results obtained were 181 positive tweets, 322 negative tweets, and 33 neutral tweets. Sentiment analysis showed 55% responded positively to police activities, 19.1% responded positively to public comments, and 91.8% responded positively to social services. It can be concluded that most people support police activities and services, but most people are still dissatisfied with police performance.
Developing a Decision Support System with Dynamic Criteria for The Best Employee Assessment Deborah Kurniawati; Dara Kusumawati; Munifatul Arifah
Journal of International Conference Proceedings (JICP) Vol 2, No 2 (2019): Proceedings of the 4th International Conference of Project Management (ICPM) Man
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jicp.v2i2.603

Abstract

One of the efforts of the organizations management to foster the morale of human resources (HR) is to reward the best performing HR. HR with the best performance is assessed by various criteria determined by the organization. The problem is, how can a large organization that has many branches and / or organizational fields be able to select HR with the best performance objectively; while each branch or field of organization can have different emphases or interests in each HR assessment criteria. This research develops a decision support system that can be used to select the best HR with dynamic criteria and weighting. Criteria can be added or reduced, also the weight of the criteria can be adjusted to the system user. Decision support system was developed using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. With TOPSIS it is possible to enter criteria that are expected to be positive and criteria that are expected to be negative. The results of the research conducted are a decision support system for determining the best employees with a dynamic and flexible multi model, where the criteria and weighting can be adjusted to the needs of the branch office or each part.
Sentiment Analysis of Twitter Social Media to Online Transportation in Indonesia Using Naïve Bayes Classifier Dini Fakta Sari; Deborah Kurniawati; Edy Prayitno; Irfangi Irfangi
Journal of International Conference Proceedings (JICP) Vol 2, No 1 (2019): Proceedings of the 3rd International Conference of Project Management (ICPM) Bal
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jicp.v2i1.410

Abstract

The application of information technology in transportation services is a positive development felt by the community with the emergence of various online transportation services. On the other hand, nowadays society cannot escape the use of social media in communicating and interacting with other parties. This research was conducted to determine the relationship between the use of social media and the use of online transportation services. The study was conducted using the Naïve Bayes Classifier method to analyze Twitter social media sentiment towards online transportation in Indonesia. The study was conducted by processing 1009 data, consisting of 900 training data and 109 test data. From the results of testing of 109 training data obtained 11% had a positive value, 14% negative value, and the rest, which is 75% neutral value. While the test accuracy test for 109 data resulted in an accuracy of 84%. The results of the study show that most of the use of Twitter social media in Indonesia does not affect the user's decision to utilize online transportation services.
Implementation of AHP and SAW Methods for Optimization of Decision Recommendations Kurniawati, Deborah; Lenti, Febri Nova; Nugroho, Rudi Wahyu
Journal of International Conference Proceedings Vol 4, No 1 (2021): Proceedings of the 9th International Conference of Project Management (ICPM) Mal
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jicp.v4i1.1152

Abstract

Differences in interest in decision making are one of the things that must be facilitated in decision support applications. The most basic difference of interest in decision making is the difference in the weight of the importance of each criterion used. Each decision maker has their own interest in the criteria used. If these differences can be facilitated properly, the resulting decision recommendations can be optimal, in this case more in line with the interests of the users. The model is designed using the Analytical Hierarchy Process (AHP) and Simple Additive Weight (SAW) methods, using 5 criteria. The final result of the AHP method is in the form of criteria weights that are in accordance with the interests of decision makers and in accordance with the consistency of the comparisons that have been given. The resulting weight will be used in the final calculation of SAW, namely in the calculation of alternative weights. By using AHP, the weight of the criteria becomes more subjective according to the interests of decision makers. Thus, the resulting alternative recommendations become more optimal because they are in accordance with the needs of decision makers.
Co-Authors AG. Mahesa Satriya M. D. P Al Amin Ali Imron Asyahri Hadi Nasyuha Dini Fakta Sari Dini Fakta Sari Dini Fakta Sari Diva Putri Welfianti Edi Iskandar, Edi Edy Prayitno Endang Wahyuningsih Erna Hudianti Erna Hudianti Pujiarini Erna Hudianti Pujiarini Febri Nova Lenti Febri Nova Lenti, Febri Nova Febriyani, Fina Fitria Muriyanto Habibie, Dedi Rahman Ichsan Munadi Irfan Setiawan Irfangi Irfangi Iskandar, Edi Kusumawati, Dara Muhammad Abdullah Alhusni Munifatul Arifah Nerys Lourensius Tarigan Nugroho, Rudi Wahyu Pulut Suryati Pulut Suryati, Pulut Putra, Muhammad Alvin Maulidana Firdaus Robby Cokro Buwono Rudi Wahyu Nugroho Sari, Reina Ahlaq Karim Narsa Septian Narsa Putra sumiyatun sumiyatun, sumiyatun Uyuunul Mauidzoh Wahyu Eka Priana Sukmawaty