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Optimisasi Multi Depot Vehicle Routing Problem (MDVRP) dengan Variabel Travel Time Menggunakan Algoritma Particle Swarm Optimization Gamayanti, Nurlita; Alkaff, Abdullah; Mangatas, Randi
JAVA Journal of Electrical and Electronics Engineering Vol 13, No 1 (2015)
Publisher : JAVA Journal of Electrical and Electronics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (865.967 KB)

Multi Depot Vehicle Routing Problem (MDVRP) merupakan permasalahan optimasi yang memiliki peranan penting dalam manajemen sistem distribusi dengan tujuan meminimalkan waktu yang diperlukan, dimana penentuan waktu berkaitan dengan jarak dari rute yang ditempuh oleh armada distribusi. Penelitian ini memberikan sebuah formulasi dari kasus Multi Depot Vehicle Routing Problem (MDVRP) yang diselesaikan dengan metode algoritma Particle Swarm Optimization (PSO). Terdapat dua tahapan untuk menyelesaikan MDVRP yaitu clustering dan assignment. Dalam clustering digunakan metode simplified parallel assignment, sedangkan untuk assignment digunakan metode particle swarm optimization. PSO merupakan salah satu teknik komputasi. Algoritma Particle Swarm Optimization dapat menghasilkan waktu tempuh yang minimum

Optimisasi Dynamic Economic Dispatch Menggunakan Algoritma Artificial Bee Colony Gamayanti, Nurlita; Alkaff, Abdullah; Karim, Amien
JAVA Journal of Electrical and Electronics Engineering Vol 13, No 1 (2015)
Publisher : JAVA Journal of Electrical and Electronics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (993.818 KB)

Pembangkitan daya listrik yang optimal menjadi penting seiring dengan meningkatnya kebutuhan daya dan biaya bahan bakar. Dynamic economic dispatch diharapkan mendapatkan pembangkitan daya yang ekonomis dan tetap melayani kebutuhan daya secara andal pada sistem pembangkitan daya listrik. Beberapa karakteristik non-linier dan batasan praktis pada unit generator seperti valve-point effect, batasan ramp-rate dan batasan operasi, serta rugi-rugi transmisi pada jaringan listrik dipertimbangkan dalam perhitungan. Penelitian ini menyajikan implementasi algoritma Artificial Bee Colony, algoritma meta-heuristik yang terinspirasi dari tingkah laku kawanan lebah untuk menyelesaikan permasalahan dynamic economic dispatch. Untuk menunjukkan kelayakan dan efektifitas dari hasil optimasi, dua sistem berbeda dengan 5 unit dan 15 unit pembangkit dilakukan pengujian dengan parameter algoritma yang berbeda. Hasil pengujian menunjukkan bahwa algoritma Artificial Bee Colony mampu memberikan solusi dispatch yang baik dengan waktu komputasi yang cepat

Rancang Bangun Perangkat Lunak Reliability-Centered Maintenance untuk Gardu Induk Putra, Farid Rafli; Gamayanti, Nurlita; Alkaff, Abdullah
Jurnal Teknik ITS Vol 1, No 1 (2012)
Publisher : Direktorat Riset dan Pengabdian Masyarakat (DRPM), ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23373539.v1i1.89

Kinerja gardu induk (substation) akan mengalami penurunan kondisi setelah beroperasi dalam jangka waktu tertentu sehingga berdampak pada kerugian operasional maupun non-operasional. Gardu Induk memiliki peranan penting dalam proses transmisi listrik dan proteksi sistem kelistrikan terhadap gangguan. Pada penelitian ini, dibangun perangkat lunak dengan pemrograman PHP dan MySQL yang berisikan informasi berupa database dan modelbase meliputi fungsi, kegagalan fungsi, bentuk kegagalan, efek kegagalan, konsekuensi kegagalan, data kerusakan dan teknis dari tiap peralatan serta komponen pada gardu induk untuk kegiatan perawatan dengan metode reliability-centered maintenance (RCM). Hasil pengujian menunjukkan bahwa metode RCM merekomendasikan sebanyak 75 proposed task untuk diterapkan pada gardu induk. Perangkat lunak yang dibuat dapat mempermudah pengguna dalam menentukan kegiatan perawatan gardu induk serta dapat diperbaharui dan diakses pada cakupan area tertentu.

Comparison of Gradient Estimation in Cooperative Multi-Agent Source Seeking Mochammad Sahal; Zulkifli Hidayat; Abdullah Alkaff
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 1, No 2 (2017): October
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v1.i2.21

Agent-based source seeking problem is addressed in this paper. This problem is relevant in, e.g., in hazardous gas leak in a chemical disaster. In the cooperative search, agents develop a formation to effectively search the source by communicating one to another via a communication topology. The source, or the search target, is represented by a scalar field y which might describe a temperature level, hazardous concentration of substances or vapor. Every agent has the information on its own position and the value of y at any instance. The agents are identical modeled as single and double integrator. Consensus filter is used to control the agent formation and comparison three types of gradient estimation are employed to search the source. Experiments show that the proposed schemes give good performance to solve cooperative search for source seeking problem Keywords: cooperative source seeking, source seeking, formation control, gradient estimation

Analysis and Dynamic Routing Implementation of Hierarcical Healthcare Referral System Khairurizal Alfathdyanto; Abdullah Alkaff; Nurlita Gamayanti
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 1, No 1 (2017): April
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v1.i1.5

Hierarchical Healthcare Referral System (HHRS) is implemented by National Insurance Providing Agency (BPJS) as part of the healthcare insurance policies. Patients who want to get health insurance in a hospital should get a referral from the community health center in which they are registered. Congestion of patients happens in certain hospital as there is no policy implemented to govern the referral system. In this paper, HHRS is modeled as a network of queuing system and is analyzed for its queue performances. Analysis of queuing network performances shows the influence patient preferences to buildup congestion of patients in hospitals. Referral is then controlled by means of dynamic routing with considering patient preferences. Estimation of arrival rate is done with hypercube queuing theory which concerns user preference. Simulation shows that patient preferences affect the arrival rate at each hospital, the application of dynamic routing can reduce the maximum utility and reduce the average waiting time, prioritization of patients improve dynamic routing performance on systems with a high workload.Keywords: dynamic routing; hierarchical healthcare referral system; patient priority; queueing networks;

Metaheuristics for The Solution of Dynamic Vehicle Routing Problem With Time Windows (DVRPTW) With Travel Time Variable Nurlita Gamayanti; Abdullah Alkaff; Ahmad Rusdiansyah
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 1, No 1 (2017): April
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v1.i1.13

This research is focusing on the development of metaheuristic algorithm to solve Dynamic Vehicle Routing Problem With Time Windows (DVRPTW) for the service provider of Inter-city Courier. The algorithm is divided into two stages which is static stage and dynamic stage. In the static stage, modified Ant Colony System is developed and in the dynamic stage, Insertion Heuristic is developed. In DVRPTW, vehicle’s routes are raised dynamically based on real time information, for example the reception of new order. To test the performances of the developed metaheuristic algorithm, the author compares the developed algorithm with the nearest neighbor algorithm and with the combination between the nearest neighbor and insertion heuristics algorithm. Experiment is done using Chen’s standard data test. The developed metaheuristic algorithm was applied on the network data of the roads in Surabaya, where the routes generated not only determine the order that the consumer must visit but also determine the routes that must be passed. After the experiment, the author conclude that the developed algorithm generates a better travel time total than the nearest neighbor and the combination between the nearest neighbor and insertion heuristics and can also generate route dynamically to respond to the new order well. Keywords: Inter-City Courier, Dynamic Vehicle Routing Problem dengan Time Window (DVRPTW), Ant Colony System, Insertion Heuristics

Three-Dimensional Coordination Control of Multi-UAV for Partially Observable Multi-Target Tracking Maynad, Vincentius Charles; Nugraha, Yurid Eka; Alkaff, Abdullah
Journal of Robotics and Control (JRC) Vol 5, No 5 (2024)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v5i5.22560

This research deals with multi-UAV systems to track partially observable multi-targets in noisy three-dimensional environments, which are commonly encountered in defense and surveillance systems. It is a far extension from previous research which focused mainly on two-dimensional, fully observable, and/or perfect measurement settings. The targets are modeled as linear time-invariant systems with Gaussian noise and the pursuers UAV are represented in a standard six-degree-of-freedom model. Necessary equations to describe the relationship between observations regarding the target and the pursuers states are derived and represented as the Gauss-Markov model. Partially observable targets require the pursuers to maintain belief values for target positions. In the presence of a noisy environment, an extended Kalman filter is used to estimate and update those beliefs. A Decentralized Multi-Agent Reinforcement Learning (MARL) algorithm known as soft Double Q-Learning is proposed to learn the coordination control among the pursuers. The algorithm is enriched with an entropy regulation to train a certain stochastic policy and enable interactions among pursuers to foster cooperative behavior. The enrichment encourages the algorithm to explore wider and unknown search areas which is important for multi-target tracking systems. The algorithm was trained before it was deployed to complete several scenarios. The experiments using various sensor capabilities showed that the proposed algorithm had higher success rates compared to the baseline algorithm. A description of the many distinctions between two-dimensional and three-dimensional settings is also provided.

Three-Dimensional Coordination Control of Multi-UAV for Partially Observable Multi-Target Tracking Maynad, Vincentius Charles; Nugraha, Yurid Eka; Alkaff, Abdullah
Journal of Robotics and Control (JRC) Vol. 5 No. 5 (2024)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v5i5.22560

This research deals with multi-UAV systems to track partially observable multi-targets in noisy three-dimensional environments, which are commonly encountered in defense and surveillance systems. It is a far extension from previous research which focused mainly on two-dimensional, fully observable, and/or perfect measurement settings. The targets are modeled as linear time-invariant systems with Gaussian noise and the pursuers UAV are represented in a standard six-degree-of-freedom model. Necessary equations to describe the relationship between observations regarding the target and the pursuers states are derived and represented as the Gauss-Markov model. Partially observable targets require the pursuers to maintain belief values for target positions. In the presence of a noisy environment, an extended Kalman filter is used to estimate and update those beliefs. A Decentralized Multi-Agent Reinforcement Learning (MARL) algorithm known as soft Double Q-Learning is proposed to learn the coordination control among the pursuers. The algorithm is enriched with an entropy regulation to train a certain stochastic policy and enable interactions among pursuers to foster cooperative behavior. The enrichment encourages the algorithm to explore wider and unknown search areas which is important for multi-target tracking systems. The algorithm was trained before it was deployed to complete several scenarios. The experiments using various sensor capabilities showed that the proposed algorithm had higher success rates compared to the baseline algorithm. A description of the many distinctions between two-dimensional and three-dimensional settings is also provided.

Penguatan Pilar Sains Melalui Komputasi dan Virtualisasi Eksperimen Sistem Kontrol untuk Pembelajaran Eksperiensial Bilfaqih, Yusuf; Sahal, Mochamad; Hidayat, Zulkifli; Gamayanti, Nurlita; Alkaff, Abdullah; Mileanasari, Fadhilah; Said, Zaidan Adenin
Sewagati Vol 9 No 3 (2025)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j26139960.v9i3.2672

Artikel ini menyajikan kegiatan pengabdian kepada masyarakat mengenai komputasi dan virtualisasi eksperimen pada masa pandemi Covid-19 untuk memungkinkan praktikum di/dari rumah. Pandemi Covid-19 telah memaksa transformasi digital di berbagai sektor dan telah menjadi salah satu pendorong utama dalam kemajuan berbagai sektor, termasuk dalam dunia pendidikan. Salah satu upaya penting dalam mendukung transformasi digital adalah melakukan virtualisasi eksperimen, yang memungkinkan mahasiswa dan peneliti untuk melakukan eksperimen secara virtual tanpa keterbatasan fisik, biaya, atau waktu. Upaya yang telah dilakukan untuk menjaga keberlanjutan transformasi digital, khususnya dalam konteks pendidikan, melalui penguatan teknik komputasi dan virtualisasi eksperimen. Komputasi dan eksperimen dikenal sebagai pilar sains. Pada makalah ini dikenalkan pendekatan untuk mengelola kegiatan pengabdian agar berfokus pada penguatan pilar sains, dan bagaimana memanfaatkan pilar sains sebagai penggerak lingkaran pengaruh kegiatan tridharma, pendidikan, penelitian, dan pengabdian di lab. Kegiatan pengabdian meliputi dua workshop: Komputasi menggunakan Matlab dan Pengembangan Modul Virtual dengan Simulink 3D. Kegiatan ini menghasilkan modul tugas komputasi, buku berbasis komputasi, serta teknik komputasi baru yang telah dipublikasikan di jurnal internasional. Eksperimen virtual sistem kontrol dimanfaatkan untuk praktikum, pembelajaran, penelitian, dan pengembangan. Kegiatan ini membentuk lingkaran tridharma yang berkelanjutan dan saling menguatkan, sehingga luaran turut memperkuat pilar sains secara sinergis.

Metode Saintifik dalam Pemberdayaan Potensi Ekonomi Masyarakat Melalui Pemanfaatan Teknologi E-commerce dan Media Sosial Bilfaqih, Yusuf; Sahal, Mochammad; Hidayat, Zulkifli; Gamayanti, Nurlita; Alkaff, Abdullah; Mileanasari, Fadhilah
Sewagati Vol 9 No 4 (2025)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j26139960.v9i4.5506

Pemberdayaan potensi ekonomi masyarakat melalui pemanfaatan teknologi e-commerce dan media sosial menjadi sangat relevan dalam konteks perkembangan teknologi digital saat ini. Makalah ini menyajikan strategi yang menerapkan metode saintifik untuk memanfaatkan teknologi yang tepat guna dalam pemberdayaan potensi ekonomi masyarakat yang terdampak pandemi Covid-19. Kegiatan pengabdian dimulai dengan menentukan masyarakat yang menjadi sasaran pengabdian, kemudian melakukan survei potensi ekonomi masyarakat sasaran pengabdian dan survei potensi teknologi e-commerce dan media sosial. Selanjutnya, dilakukan kajian terhadap data hasil survei untuk menentukan jenis usaha baru bagi tiap anggota masyarakat. Sejalan dengan itu, tim pengabdi menerapkan metode saintifik dalam setiap langkah dalam pemanfaatan teknologi untuk keperluan usaha, meliputi proses menjual dan membeli produk, mengiklankan, serta memasarkan produk. Langkah-langkah saintifik ini dikenalkan dan diterapkan secara langsung melalui kegiatan pendampingan mulai membuka usaha baru hingga simulasi praktik usaha atau jual beli online. Untuk memfasilitasi kegiatan tersebut telah dihasilkan luaran berupa poster dan buku saku berisi petunjuk/tip memanfaatkan teknologi e-commerce dan media sosial. Luaran yang utama adalah terbentuknya toko dan warung online untuk menjalankan usaha peserta pengabdian. Hasil kegiatan menunjukkan bahwa masyarakat mampu mengakses, memahami, dan menerapkan metode saintifik sederhana dalam usaha mereka. Terdapat peningkatan pemahaman, motivasi kewirausahaan, dan inisiasi usaha baru oleh peserta. Pendekatan dalam kegiatan ini tidak hanya dapat meningkatkan kinerja ekonomi masyarakat, tetapi juga membuka peluang baru dalam pengembangan usaha mikro, kecil, dan menengah (UMKM).

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