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Journal : Bulletin of Electrical Engineering and Informatics

Smart Integrated Payment System for Public Transportation in Jakarta Harco Leslie Hendric Spits Warnars; Yulia Lanita; Andhika Prasetyo; Richard Randriatoamanana
Bulletin of Electrical Engineering and Informatics Vol 6, No 3: September 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (383.318 KB) | DOI: 10.11591/eei.v6i3.655

Abstract

Jakarta has many types of public transportation such as Kereta Rel Listrik (KRL), Transjakarta, taxi, angkot, metromini, mikrolet, bajaj, ojek, etc. But, there are some problems that happen in public transportation where the people don’t want to use public transportation and choose to use private transportation that cause more traffic in Jakarta. The problems of public transportation are in the facility which is still inappropriate, unclear information, uncomfortable, bad accessibility of public transportation which take more time to reach the destination, more complicated than taking the private transportation, and about the society, people don’t want to be labeled as low-class level. This paper is representing how to make the better system for public transportation in Jakarta with smart integrated payment system. Aim of this system is to encourage people to use public transportation rather than private transportation. The payment system that proposed are using smartphone application by scanning the QR Code or using smart card. User can easily pay through application by scanning QR code to pay the public transportation. The proposed of this smart integrated payment system will have opportunity as profit when collaborate with business when they can advertise their business and get customer from our user.
Key strategic issues pharmaceutical industry of SCM: A systematic literature review Erick Fernando; Meyliana Meyliana; Harco Leslie Hendric Spits Warnars; Edi Abdurachman
Bulletin of Electrical Engineering and Informatics Vol 9, No 2: April 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (296.421 KB) | DOI: 10.11591/eei.v9i2.1264

Abstract

In this global era, making the competition in the pharmaceutical industry is very treacly. Implementation Supply chain management is the process of planning and managing all sourcing, procurement, distribution activities to increase value to customers and interested companies. Pharmaceutical companies are one that has a very complex supply chain. In this article will discuss the main issues that can improve industry strategic. This research is done by the systematic approach of literature to find things related to research. This study used 64 articles from search results. The results of this search are key issues in the pharmaceutical industry such as product and process development, capacity planning, factory and network design, e-business and IT applications, inventory management, outsourcing and reverse logistics, lean manufacturing, performance measures, people, and information technology. All of these findings are issues that improve the performance of supply chain management in the pharmaceutical industry.
The influence of data size on a high-performance computing memetic algorithm in fingerprint dataset Priati Assiroj; Harco Leslie Hendric Spits Warnars; Edi Abdurachman; Achmad Imam Kistijantoro; Antoine Doucet
Bulletin of Electrical Engineering and Informatics Vol 10, No 4: August 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v10i4.2760

Abstract

The fingerprint is one kind of biometric. This biometric unique data have to be processed well and secure. The problem gets more complicated as data grows. This work is conducted to process image fingerprint data with a memetic algorithm, a simple and reliable algorithm. In order to achieve the best result, we run this algorithm in a parallel environment by utilizing a multi-thread feature of the processor. We propose a high-performance computing memetic algorithm (HPCMA) to process a 7200 image fingerprint dataset which is divided into fifteen specimens based on its characteristics based on the image specification to get the detail of each image. A combination of each specimen generates a new data variation. This algorithm runs in two different operating systems, Windows 7 and Windows 10 then we measure the influence of data size on processing time, speed up, and efficiency of HPCMA with simple linear regression. The result shows data size is very influencing to processing time more than 90%, to speed up more than 30%, and to efficiency more than 19%.
Framework for developing algorithmic fairness Dedy Prasetya Kristiadi; Po Abas Sunarya; Melvin Ismanto; Joshua Dylan; Ignasius Raffael Santoso; Harco Leslie Hendric Spits Warnars
Bulletin of Electrical Engineering and Informatics Vol 9, No 4: August 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (260.228 KB) | DOI: 10.11591/eei.v9i4.2028

Abstract

In a world where the algorithm can control the lives of society, it is not surprising that specific complications in determining the fairness in the algorithmic decision will arise at some point. Machine learning has been the de facto tool to forecast a problem that humans cannot reliably predict without injecting some amount of subjectivity in it (i.e., eliminating the “irrational” nature of humans). In this paper, we proposed a framework for defining a fair algorithm metric by compiling information and propositions from various papers into a single summarized list of fairness requirements (guideline alike). The researcher can then adopt it as a foundation or reference to aid them in developing their interpretation of algorithmic fairness. Therefore, future work for this domain would have a more straightforward development process. We also found while structuring this framework that to develop a concept of fairness that everyone can accept, it would require collaboration with other domain expertise (e.g., social science, law, etc.) to avoid any misinformation or naivety that might occur from that particular subject. That is because this field of algorithmic fairness is far broader than one would think initially; various problems from the multiple points of view could come by unnoticed to the novice’s eye. In the real world, using active discriminator attributes such as religion, race, nation, tribe, religion, and gender become the problems, but in the algorithm, it becomes the fairness reason.
Co-Authors Achmad Imam Kistijantoro Adrian Randy Pratama Adrian Setyawan Afrilia Astari Agung A. Pramudji Agung Trisetyarso Alam, Sirojul Andhika Prasetyo Andy Julianto Antoine Doucet Arif Fahrudin Arif Fahrudin Assiroj, Priati Benaya Oktavianus Oktavianus Benfano Soewito Benfano Soewito Bobi Kurniawan, Bobi Calvin Leonardo Christopher Samuel Christy, Jessica Damayanti, Damayanti Darren Kent Jeremy, Darren Kent Dedy Prasetya Kristiadi Dodick Zulaimi Sudirman Edi Abdurachman Edi Abdurachman Endang Kusnadi Endang Kusnadi Epafras Suria, Epafras Erick Erick Erick Fernando Ersa Andhini Mardika Evan Fabian Rahardja Fauzi Megantara Ferry Sudarto Ford Lumban Gaol Ford Lumban Gaol Ford Lumban Gaol Ford Lumban Gaol, Ford Lumban Gilbert Xervaxius Naphan Hesananda, Rizki Hintarsyah, Aristo Putramasi Ida Farida Ignasius Raffael Santoso Joshua Dylan Jovano Edmund Friry Junaidi Junaidi Kevin Dynata Kevin Renalda Kharis Munawar Kiyota Hashimoto Kusuma Atmaja, Wahyu Haris Lukman Adyana Megantara, Fauzi Melvin Ismanto Meyliana Meyliana Meyliana, M. Muhammad Farrel Pramono Muhammad Naufal Mu’azzi Naufal Rayfi Hafizh Nizirwan Anwar Nuruliyani, Nuruliyani Po Abas Sunarya Priati Assiroj Rakhmat Arianto Randy Dwi Raymond Sunardi Oetama Richard Randriatoamanana Safrizal Safrizal Salicca Dewi Rahajeng Sandi Martono Sianipar, Nesti Fronika Siti Julianingsih Nurfitriyani suaidah suaidah Sudaryono Sudaryono Sugiarto, Dian Suharjo, Bambang Suroto Adi Tanty Oktavia, Tanty Wibowo, Adi Winarno Winarno Wiranto Herry Utomo Worapan Kusakunniran Yaya Heryadi Yaya Heryadi Yulia Lanita Zaki Izzani Akbar