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Application of Decision Support System Based On GUI to Determine The Best Mall In Manado City By Using ELECTRE Method Binowo, Kenedi; Rindengan, Altien Jonathan; Pinontoan, Benny
d'CARTESIAN:Jurnal Matematika dan Aplikasi Vol 7, No 1 (2018): Maret 2018
Publisher : Universitas Sam Ratulangi

Mall is a shopping center that has numerous functions, and the mall has become a place of human survival, therefore this research is done to choose the best mall in Manado city which is Jumbo, Mega Trade Center, Manado Town Square, Mega Mall, and Multimart. The ELECTRE method is one of the multi-criteria decision-making methods based on the concept of outranking by using pairwise comparisons of alternatives based on each appropriate criterion.Â The purpose of this research is to find out the best mall in Manado city based on ELECTRE method, and to find out the most important thing in designing GUI based application system. GUI is a decision support program in mathematics programs. From the research result using ELECTRE method can be known that the best mall in Manado city is Mega Mall, because from the best calculation result is (Alternative 4), where if indicates that alternative is the chosen alternative. The results of GUI-based applications it has been perform a result that the most important thing in the making is: There must be a place of input value, there should be an output display, and there should be execution buttons, and most importantly also that must create a coding in accordance with the programming language that can be read by mathematics programs.K e y w o r d s: Â Mall, ELECTRE Method, Decision Support System, GUI Application

Predicting Rupiah Sentiment Using Social Sentiment Analysis Beny Maulana Achsan; Kenedi Binowo; Achmad Nizar Hidayanto
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 20, No 2 (2023): June 2023
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v20i2.22687

In recent years, the behavior of foreign currency exchange rates (FOREX) has attracted a lot of attention from policy makers, investors, academics and regulators because due to its rapidly changing prices. FOREX predicting based on sentiment analysis has attracted a wide variety of research in finance and natural language processing. The availability of news, social media networks, and the rapid development of natural language processing methods result in better predictive performance. However, new studies related on Rupiah (Rupiah is legal money circulating in Indonesia) sentiment and its correlation with other FOREX are still rare and interesting to study.The purpose of this study is to (1) assess the accuracy of predicting Rupiah sentiment using social sentiment analysis and (2) to investigate the correlation between Rupiah sentiment and IDR currency exchange rate. The methodological approach used for this study is based on social sentiment analysis on Twitter and Pearson correlation.The result of this study is (1) from the seven models that we compared, the Decision Tree (DT) and Random Forest (RF) algorithm models have the best accuracy to avoid misclassification based on AUC. The accuracy measured by F1-score has values of 92.13% for both DT and RF, and (2) Rupiah sentiment has a strong positive correlation with USD (P-value: 0.017, r-value: 0.421) and SAR (P-value: 0.016, r-value: 0.419) exchange rate. On the other hand, Rupiah sentiment has a low significant negative correlation with AUD (P-value: 0.051, r-value: -0.403) and EUR (P-value: 0.079, r-value: -0.479). Rupiah sentiment also has a low but positive correlation with MYR (P-value: 0.073, r-value: 0.180) and is not significant with SGD (P-value: 0.119, r-value: -0.348) although it has a positive correlation. The strong positive correlation represents that the more positive Rupiah sentiment on Twitter, the stronger IDR exchange rate against another foreign currency, and vice versa.

Application of Decision Support System Based On GUI to Determine The Best Mall In Manado City By Using ELECTRE Method Kenedi Binowo; Altien Jonathan Rindengan; Benny Pinontoan
d\'Cartesian: Jurnal Matematika dan Aplikasi Vol. 7 No. 1 (2018): Maret 2018
Publisher : Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35799/dc.7.1.2018.19550

Mall is a shopping center that has numerous functions, and the mall has become a place of human survival, therefore this research is done to choose the best mall in Manado city which is Jumbo, Mega Trade Center, Manado Town Square, Mega Mall, and Multimart. The ELECTRE method is one of the multi-criteria decision-making methods based on the concept of outranking by using pairwise comparisons of alternatives based on each appropriate criterion.Â The purpose of this research is to find out the best mall in Manado city based on ELECTRE method, and to find out the most important thing in designing GUI based application system. GUI is a decision support program in mathematics programs. From the research result using ELECTRE method can be known that the best mall in Manado city is Mega Mall, because from the best calculation result is (Alternative 4), where if indicates that alternative is the chosen alternative. The results of GUI-based applications it has been perform a result that the most important thing in the making is: There must be a place of input value, there should be an output display, and there should be execution buttons, and most importantly also that must create a coding in accordance with the programming language that can be read by mathematics programs.K e y w o r d s: Â Mall, ELECTRE Method, Decision Support System, GUI Application

ADDRESSING DIGITAL STARTUP FAILURE THROUGH THE AGILE METHODOLOGY APPROACH: A SYSTEMATIC LITERATURE REVIEW Binowo, Kenedi
Jurnal Pilar Nusa Mandiri Vol. 21 No. 2 (2025): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Pe
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v21i2.7000

Startups are recognized as emerging enterprises that contribute to job creation, economic stabilization, and national development. Digital startups are formed to address challenges within their environments. This study aims to provide solutions and preventive measures for digital startup failures, given the persistently high global failure rate of 90%. A systematic literature review (SLR) was conducted to identify Agile-based Critical Success Factors (CSFs), which were then mapped as solutions to mitigate digital startup failures. Based on the findings, the most significant contributing factor to the failure of digital startups is insufficient funding (i.e., running out of capital or financial resources). To address this issue, the agile method offers relevant solutions that can be mapped to the problem, namely the adoption of “Iterative Budget Management,” “Accurate Effort Estimation,” and “Risk Management Strategies.” This study provides practitioners with valuable insights, knowledge, and reference points regarding the critical success factors (CSFs) derived from agile practices, which can serve as strategic mechanisms for mitigating failure in early-stage startups. Moreover, the research is expected to contribute new theoretical understanding that informs potential solutions to prevent digital startup failure.

ADDRESSING DIGITAL STARTUP FAILURE THROUGH THE AGILE METHODOLOGY APPROACH: A SYSTEMATIC LITERATURE REVIEW Kenedi Binowo
Jurnal Pilar Nusa Mandiri Vol. 21 No. 2 (2025): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Pe
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v21i2.7000

Startups are recognized as emerging enterprises that contribute to job creation, economic stabilization, and national development. Digital startups are formed to address challenges within their environments. This study aims to provide solutions and preventive measures for digital startup failures, given the persistently high global failure rate of 90%. A systematic literature review (SLR) was conducted to identify Agile-based Critical Success Factors (CSFs), which were then mapped as solutions to mitigate digital startup failures. Based on the findings, the most significant contributing factor to the failure of digital startups is insufficient funding (i.e., running out of capital or financial resources). To address this issue, the agile method offers relevant solutions that can be mapped to the problem, namely the adoption of “Iterative Budget Management,” “Accurate Effort Estimation,” and “Risk Management Strategies.” This study provides practitioners with valuable insights, knowledge, and reference points regarding the critical success factors (CSFs) derived from agile practices, which can serve as strategic mechanisms for mitigating failure in early-stage startups. Moreover, the research is expected to contribute new theoretical understanding that informs potential solutions to prevent digital startup failure.

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