Article Per Year (5 Year)
p-Index From 2020 - 2025
1.879
P-Index
This Author published in this journals
All Journal JOIV : International Journal on Informatics Visualization Teknomekanik Journal of Computer Networks, Architecture and High Performance Computing Jurnal Teknoif Teknik Informatika Institut Teknologi Padang International Journal of Advanced Science Computing and Engineering
Sukma, Fanni
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Mechanical Engineering

Published : 10 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : JOIV : International Journal on Informatics Visualization

 1 
The Implementation of SAW and BORDA Method to Determine the Eligibility of Students’ Final Project Topic Meidelfi, Dwiny; Yulherniwati, -; Sukma, Fanni; Chandra, Dikky; Jonas, Anna Hendri Soleliza
JOIV : International Journal on Informatics Visualization Vol 5, No 2 (2021)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.5.2.447

Abstract

The fourth-year students of Bachelor of Applied Studies (BAS) Software Engineering Technology Department of Information Technology (IT) Politeknik Negeri Padang (PNP) are required to work on the Final Project Proposal to the Coordinator, to deliver to the expertise group team to assess the eligibility of the topic. The expertise teams consist of the same skill family. The assessment criteria include originality, novelty, target and topic contribution, methodology, and similarity. Therefore, a system to support group decisions is highly needed to get eligibility for the topic. In a pandemic like today, indoor gatherings are severely restricted. The work from home policy also limits the movement of the team to gather together so that the expert team who would judge cannot conduct a meeting to determine the feasibility of the final project topic optimally. The existence of a subjective assessment of a particular topic requires discussion from the team. The simple Additive Weighting (SAW) method was used to rank the final project proposal, and BORDA method was used to Accumulate the assessment score of the expert team. The research revealed the recommendation on students’ final topics. Testing is done by testing the sensitivity of the criteria used in a decision maker's preference. The final result of this research is a recommendation of a final project that is feasible to be implemented by students and recommendation for sensitive assessment criteria. From the ten topics of the final project that were assessed, seven topics could be accepted. The sensitivity test results showed that the weight with criterion 1 and criterion 4 significantly affect the assessment results.
An Improved Flower Pollination Algorithm for Global and Local Optimization Kamboh, M. Iqbal; Mohd Nawi, Nazri Bin; Ramli, Azizul Azhar; Sukma, Fanni
JOIV : International Journal on Informatics Visualization Vol 5, No 4 (2021)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.5.4.738

Abstract

Meta-heuristic algorithms have emerged as a powerful optimization tool for handling non-smooth complex optimization problems and also to address engineering and medical issues. However, the traditional methods face difficulty in tackling the multimodal non-linear optimization problems within the vast search space. In this paper, the Flower Pollination Algorithm has been improved using Dynamic switch probability to enhance the balance between exploitation and exploration for increasing its search ability, and the swap operator is used to diversify the population, which will increase the exploitation in getting the optimum solution. The performance of the improved algorithm has investigated on benchmark mathematical functions, and the results have been compared with the Standard Flower pollination Algorithm (SFPA), Genetic Algorithm, Bat Algorithm, Simulated annealing, Firefly Algorithm and Modified flower pollination algorithm. The ranking of the algorithms proves that our proposed algorithm IFPDSO has outperformed the above-discussed nature-inspired heuristic algorithms.
Co-Authors -, Defni Adnin, Sandri Aldo Erianda, Aldo Chairani, Fitri Dikky Chandra Dwiny Meidelfi Febrian Kasmar, Andre Hendrick Indri Rahmayuni Jonas, Anna Hendri Soleliza Kamboh, M. Iqbal Kasmar, Andre Febrian Kharisma, Srintika Yunni Mohd Nawi, Nazri Bin Moodutor, Hanriyawan Adnan Mutia, I.S Nur Azizah Ramadhani, - Ramli, Azizul Azhar Rika Idmayanti Rita Afyenni Ronal Hadi Sariani Surfa Yondri Tri Lestari Wahyuna, Wahyuna Wardhani, Aditya Yulherniwati, - Zazkia, Rahmi