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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Bulletin of Electrical Engineering and Informatics JOIV : International Journal on Informatics Visualization Indonesian Journal of Electrical Engineering and Computer Science JUSTIN (Jurnal Sistem dan Teknologi Informasi) eProceedings of Engineering Journal of Computer Engineering: Progress, Application and Technology Jurnal Abdimas
Purba Daru Kusuma
Universitas Telkom
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Social Sciences

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Journal : bulletin of electrical engineering and informatics

 1 
Pickup and delivery problem in the collaborative city courier service by using genetic algorithm and nearest distance Purba Daru Kusuma; Meta Kallista
Bulletin of Electrical Engineering and Informatics Vol 11, No 2: April 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i2.3223

Abstract

One problem in collaborative pickup delivery problem (PDP) was excessive outsourced jobs. It happened in many studies on the collaborative PDP. Besides, the revenue sharing in it was unclear although important. This work aimed to propose a novel collaborative PDP model which minimizes total travel distance while maintains low outsourced jobs. It proposed several contributions. First, it prioritized internal jobs first rather than full collaborative model. Second, it proposed new revenue sharing model. It adopted cluster-first route-second and mixed pickup and delivery. It was developed by combining the genetic algorithm and nearest distance algorithm where the genetic algorithm was used in the clustering process and the nearest distance was used in the routing process. The simulation result shows that the proposed model was better than the comparing models: (1) combined K-means and genetic algorithm model (KMGA) and (2) combined simulated annealing and last-in first-out (SNLIFO) model. When the number of orders was high (300 units), the total travel distance of the proposed model was 37 percent lower than the KMGA model and 30 percent lower than the SNLIFO model. In average, the outsourcing rate of the proposed model was 70 percent lower than the previous models.
Coordinated COVID-19 vaccination scheduling model by using nearest distance-single course timetabling method Purba Daru Kusuma; Ratna Astuti Nugrahaeni
Bulletin of Electrical Engineering and Informatics Vol 11, No 2: April 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i2.3384

Abstract

This work proposes a new coordinated vaccine scheduling model suitable for the city size COVID-19 vaccination program. It is different from the existing COVID-19 vaccination scheduling mechanism where there is no coordination among endpoint providers. On the other side, the vaccine stock in every provider is limited, so that this mismatch creates many unserved participants. Moreover, studies on the COVID-19 vaccination scheduling problem are hard to find. This work aims to solve this mismatch problem. It is developed by combining the nearest distance and the single course timetabling. It is then optimized by using a cloud theory based-simulated annealing algorithm. The simulation result shows that the proposed model outperforms both the uncoordinated and basic course timetabling models. It can minimize the number of unserved participants, total travel distance, and the number of participants with missed timeslot. It produces zero unserved participants if the total vaccine quantity is at least equal to the total number of participants. The proposed model creates lower total travel distance than the uncoordinated or basic course timetabling adopted model. It is also better than the basic course timetabling model in creating a low number of participants with missed timeslot.
Random-guided optimizer: a metaheuristic that shifts random search to guided search through iteration Kusuma, Purba Daru; Hasibuan, Faisal Candrasyah
Bulletin of Electrical Engineering and Informatics Vol 13, No 4: August 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i4.6507

Abstract

This study offers a new swarm-based metaheuristic: random-guided optimizer (RGO). RGO has novel mechanics in shifting the random motion into a guided motion strategy during the iteration. In RGO, the iteration is divided into three equal size phases. In the first phase, the unit walks randomly inside the search space to tackle the local optimal problem earlier. In the second phase, each unit uses a unit selected randomly among the population as a reference in conducting the guided motion. In the third phase, each unit conducts guided motion toward or surpasses the best unit. Through simulation, RGO successfully finds the acceptable solution for 23 benchmark functions. Moreover, RGO successfully finds the global optimal solution for four functions: Branin, Goldstein-Price, Six Hump Camel, and Schwefel 2.22. RGO also outperforms slime mold algorithm (SMA), pelican optimization algorithm (POA), golden search optimizer (GSO), and northern goshawk optimizer (NGO) in solving 12, 20, 12, and 1 function consecutively. In the future, improvement can be made by transforming RGO into solid multiple-phase strategy without losing its identity as a metaheuristic with multiple strategy in every iteration.
A stochastic optimization called split-compete optimization and its utilization on economic load dispatch problem Daru Kusuma, Purba; Candrasyah Hasibuan, Faisal
Bulletin of Electrical Engineering and Informatics Vol 14, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i2.8665

Abstract

The economic load dispatch (ELD) problem is one crucial optimization problem in a power system. Metaheuristics has become a standard method to tackle this problem. Ironically, ELD is not popular enough to become a constrained use case in most studies introducing new metaheuristics, where four designs in mechanical engineering have become the most popular ones. This work introduced a new metaheuristic called split-compete optimization (SCO). It contains three serial steps where two directed searches are employed and competed against each other in each step. SCO is then assessed to tackle both unconstrained and constrained problems where 23 classic functions represent the unconstrained problems and two cases in ELD problems represent the constrained ones. Five new metaheuristics are chosen as competitors, including the coati optimization algorithm (COA), language education optimization (LEO), northern goshawk optimization (NGO), Kookaburra optimization algorithm (KOA), and walrus optimization algorithm (WaOA). In the first evaluation, SCO is superior enough by being better than COA, LEO, NGO, KOA, and WaOA in 14, 13, 20, 15, and 10 functions, whereas SCO is dominant in high-dimensional functions. Meanwhile, SCO is competitive in solving both cases of ELD problems.
Conditional toggle algorithm: an adaptive metaheuristic and its implementation on handling engineering problems Kusuma, Purba Daru; Widyantara, Helmy
Bulletin of Electrical Engineering and Informatics Vol 15, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i2.10048

Abstract

There have been numerous new metaheuristic algorithms in this decade. Unfortunately, the attention on taking stagnation is still less considered so that it is difficult to find new metaheuristic algorithms that are enriched with stagnation taking mechanism. This work introduces a new method called conditional toggle algorithm (CTA). CTA is designed to be adaptive on facing enhancement and stagnation during iteration as its novelty. When enhancement occurs, the exploitation-focused look is applied. Meanwhile, the exploration-focused look is applied when stagnation occurs. The efficacy of CTA is then measured by implementing to solve three cases: 23 functions, 4 engineering design problems, and economic emission dispatch (EED) problem in Java-Bali power system in Indonesia. CTA is compared with five new metaheuristic algorithms. The evidence provides that CTA is supreme in taking high dimension functions and competing in taking fixed dimension functions. CTA is also supreme in taking pressure vessel and speed reducer design problems and the EED problem. But its performance is average in taking welded beam and spring design problems. In the future, CTA can be modified with other metaheuristic algorithms to enhance its performance and challenged to take broader problems, especially in electrical engineering fields.
Co-Authors Abdi Hazman Abdillah, Kemas Muhammad Rizky Abdul Rohim Achmad Rizal Aditya Enggar Adrian Sabagus Tanazri Afifah Shalihah Agita Chrisna Agita Fajar Prabowo Agus Virgono Ahmad Fauzan Fauti Albert Kurniawan, Albert Alfiansyah, Alvan Anas Satria Anas Satria Andrew Brian Osmond Andri Liem Anggraini, Ratika Dwi ANGGUNMEKA LUHUR PRASASTI Anton Siswo Raharjo Anton Siswo Raharjo Ansori Anton Siswo Raharjo Ansori Anton Siswo Raharjo AnsoriI Arief Ilham Novandi Arief Ilham Novandi Ario Dewantoro Arisandi, Alvian Aruan, David Hasudungan Aryan, Muhammad Pascal Aryansyah, Novianto Asep Mulyana Ashri Dini Maharawati Ashri Dinimaharawati Ashridini Maharawati Astrid Melati Aulia Wildan Bangkit Surya Praja Br Ginting, Shely Belinda Budhi Irawan Burhannuddin Dirgantoro Candrasyah Hasibuan, Faisal Casi Setianingsih Christavia, Shevira Feby Cut Aisyah Ilmi David, Axel Deyan Havith Dailamy Diantoro Arifian Dimas Anjar Saputro Dipo Suryantoro Dwi Putra, Sulistyo Emantoko Fachry Reiza Fadjrianto, Farhansyah Iqbal Fadli Idris Fairuz Azmi Faisal Candrasyah Hasibuan Fajar Hari Andriana Farid Reza Sukma Fathiraihan, Muhammad Alif Fauzan, Nadhifi Qurrunul Bahratu Fikri Reksa Maulana Fiqri Ramadhan Friza Fahmi Hutama Gabriela, Melanie Gema Wahyu Saputra Gerin Sonia Yuki Lumban Tobing Grace Cyndiana Gumelar, Raja Ilham Maulidani Haekal, Muhammad Hafizh Hafidz Kahamdany Hafizh Septian Pristanto Hamdani, Mauriz Muhammad Al Ghazali Hanatar Adi Naluri Harahap, M Yusril Fauzan Hariwidjaja, Valrama Wardhana Hariyanto, Muhammad Dwi Helmy Widyantara Herlambang, Yohanes Yogas Herwin Yudha Setyawan Hikmawan, Fakhrity Ikhsan Hakiki Ilham Arisyandy Ilham Majid Rabbani Ilyas Hermawan Irfan Setiawan Irham Imami Harahap Irma Damayanti Iwan Iwut Tritoasmoro Jenni Teresia Junando, Muhammad Idri Karisma, Aldiotira Khairunnisa Br Ginting Laksono, Muhammad Agung Lumban Tobing, Gerin Sonia Yuki Mahaasin, Habib Irfan Maharawati, Ashridini Markus Lamserep Hutauruk Meta Kallista Mirza Ahmad Febrian Mohammad Ibrahim Al Mahi Mohammad Viko Mashar Muhammad Agung Laksono Muhammad Alif Fathiraihan Muhammad Fadhil Muhammad Hafidz Muhammad Insan Aulia Muhammad Junaid Musa Muhammad Ken Muhammad Taufik Hidayat Muhammad Thariq Machaz Muyadi, Fawwaz Aboeruslan Nabhan, Muhammad Sidqi Nadhifah Nadhifah Naema Simanjuntak Najla, Khaira Naluri, Hanatar Adi Nasheeri, Al Ghifary Akmal Naufira Septriyanti Novandi, Arief Ilham Novianty, Astri Nugraha, Alvin Yoga Nugrahaen, Ratna Astuti Nurdin Nurfauzi, Fahmi Prabowo Wahyu Basuki Prayoga, Ivan Fernanda Putti, Fasya Hanifah Rachmah, Jabal Rachman Fadly Krisdiantoro Raja Ilham Maulidani Gumelar Raka Putra Gustian Ramadhan, Achmad Rionov Faddillah Ramadhanti, Tassya Randy Erfa Saputra Rangkuti, Abdul Haris Ratna Astuti Ratna Astuti Nugrahaeni Reza Rendian Septiawan Rifqi Muhammad Fikri Rizka Shinta Wulandari Rizki Akbari Tamin Rizky Maulana Roswan Latuconsina Rumaini M Rumani M Ryan Adytia Ryan Gani Dharmawan Salimah, Hurin Salwa, Nabilah Samgusdian, Arfara Yema Saputra, Agung Aji Saputra, Ari Cahya Saputra, Dany Eka SATRIA, ANAS Seno Adi Putra Septian Putra Manuel Simangunsong Septian Rizki Agrianto Setiawan, Irfan Silalahi, Panji Christoper Silvia Latifah Putri Siregar , Dedy Kurniawan Sofia Naning Hertiana Suaib, Fauzil Fahrezi Sutisna, Mohamad Redza Tri Putra Theodore Dian Arief Sianipar Tinton Aji Sadewo Tito Waluyo Purboyo Utama, Muhammad Aimar Rizki Whibi Waskita Wicaksono Wicaksono, Lutfi Hadi Wijaya, Anjas Rahmanta Cahya Wilda Satria Yoviandi Eka Prakoso Yulin Zurina Zaki Zamzami Zurratul Ikhsan