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7,021 to 7,030 of 13,829 Results

Dokumentasi penelitian resiko dan dampak posisi proning.pdf Sep 14, 2022 - Hasil Olah Data Penelitian Ergonomi Proning Adobe PDF - 77.0 KB - MD5: 7c4d3c7bbac53dcbbf0b2d733203e668 Merupakan data Dokumentasi penelitian resiko dan dampak posisi proning
Rekap Data form CMDQ Resiko dan Dampak Posisi Proning.pdf Sep 14, 2022 - Hasil Olah Data Penelitian Ergonomi Proning Adobe PDF - 281.2 KB - MD5: ab1e3b7bbe5fa5e6fcb3b6c66d3d44a2 Merupakan Rekap Data form CMDQ Resiko dan Dampak Posisi Proning
DATA MAHASISWA UNTUK PEMILIHAN KONSENTRASI PRODI INFORMATIKA Jul 25, 2022 - Mia Miskiatul Atiroh Dataverse Atiroh, Mia Miskiatul; Lubis, Muharman, 2022, "DATA MAHASISWA UNTUK PEMILIHAN KONSENTRASI PRODI INFORMATIKA", https://doi.org/10.34820/FK2/5P7KAD, Telkom University Dataverse, V1 Pemilihan konsentrasi pada prodi informatika dengan dataset 248 data mahasiswa yang di bagi menjadi 100 data training dan 148 data testing
Mia Miskiatul Atiroh Dataverse(Universitas Telkom) Jul 25, 2022
Stochastic Marine Predator Algorithm with Multiple Candidates Jul 14, 2022 - Purba Daru Kusuma Journal Publication Purba Daru Kusuma; Ratna Astuti Nugrahaeni, 2022, "Stochastic Marine Predator Algorithm with Multiple Candidates", https://doi.org/10.34820/FK2/AUZLXG, Telkom University Dataverse, V1 This work proposes a metaheuristic algorithm that modifies the marine predator algorithm (MPA), namely, the stochastic marine predator algorithm with multiple candidates (SMPA-MC). The modification is conducted in several aspects. The proposed algorithm replaces the three fixed e...
Paper_28-Stochastic_Marine_Predator_Algorithm.pdf Jul 14, 2022 - Stochastic Marine Predator Algorithm with Multiple Candidates Adobe PDF - 301.9 KB - MD5: ad88602d68745eb8ccb04ca51d586113
Hybrid Pelican Komodo Algorithm Jul 14, 2022 - Purba Daru Kusuma Journal Publication Purba Daru Kusuma; Ashri Dinimaharawati, 2022, "Hybrid Pelican Komodo Algorithm", https://doi.org/10.34820/FK2/4PZIZ9, Telkom University Dataverse, V1 In this work, a new metaheuristic algorithm, namely the hybrid pelican Komodo algorithm (HPKA), has been proposed. This algorithm is developed by hybridizing two shortcoming metaheuristic algorithms: the Pelican Optimization Algorithm (POA) and Komodo Mlipir Algorithm (KMA).
Paper_7-Hybrid_Pelican_Komodo_Algorithm.pdf Jul 14, 2022 - Hybrid Pelican Komodo Algorithm Adobe PDF - 250.2 KB - MD5: 59b43a4331f41ea448ca79f774b37b2b
Stochastic Komodo Algorithm Jul 14, 2022 - Purba Daru Kusuma Journal Publication Purba Daru Kusuma; Meta Kallista, 2022, "Stochastic Komodo Algorithm", https://doi.org/10.34820/FK2/UQKWB2, Telkom University Dataverse, V1 A novel metaheuristic algorithm is proposed in this paper, namely stochastic komodo algorithm (SKA). This proposed algorithm is an improved version of Komodo mlipir algorithm (KMA), which is inspired by the behaviour of Komodo during foraging and mating. The improvement is conduc...
published2022083115-2_stochastickomodo.pdf Jul 14, 2022 - Stochastic Komodo Algorithm Adobe PDF - 392.0 KB - MD5: 2af2d7da4c397abea5cdc983a8fa7152

Dokumentasi penelitian resiko dan dampak posisi proning.pdf

Sep 14, 2022 - Hasil Olah Data Penelitian Ergonomi Proning

Adobe PDF - 77.0 KB - MD5: 7c4d3c7bbac53dcbbf0b2d733203e668

Merupakan data Dokumentasi penelitian resiko dan dampak posisi proning

Rekap Data form CMDQ Resiko dan Dampak Posisi Proning.pdf

Sep 14, 2022 - Hasil Olah Data Penelitian Ergonomi Proning

Adobe PDF - 281.2 KB - MD5: ab1e3b7bbe5fa5e6fcb3b6c66d3d44a2

Merupakan Rekap Data form CMDQ Resiko dan Dampak Posisi Proning

DATA MAHASISWA UNTUK PEMILIHAN KONSENTRASI PRODI INFORMATIKA

Jul 25, 2022 - Mia Miskiatul Atiroh Dataverse

Atiroh, Mia Miskiatul; Lubis, Muharman, 2022, "DATA MAHASISWA UNTUK PEMILIHAN KONSENTRASI PRODI INFORMATIKA", https://doi.org/10.34820/FK2/5P7KAD, Telkom University Dataverse, V1

Pemilihan konsentrasi pada prodi informatika dengan dataset 248 data mahasiswa yang di bagi menjadi 100 data training dan 148 data testing

Mia Miskiatul Atiroh Dataverse(Universitas Telkom)

Jul 25, 2022

Stochastic Marine Predator Algorithm with Multiple Candidates

Jul 14, 2022 - Purba Daru Kusuma Journal Publication

Purba Daru Kusuma; Ratna Astuti Nugrahaeni, 2022, "Stochastic Marine Predator Algorithm with Multiple Candidates", https://doi.org/10.34820/FK2/AUZLXG, Telkom University Dataverse, V1

This work proposes a metaheuristic algorithm that modifies the marine predator algorithm (MPA), namely, the stochastic marine predator algorithm with multiple candidates (SMPA-MC). The modification is conducted in several aspects. The proposed algorithm replaces the three fixed e...

Paper_28-Stochastic_Marine_Predator_Algorithm.pdf

Jul 14, 2022 - Stochastic Marine Predator Algorithm with Multiple Candidates

Adobe PDF - 301.9 KB - MD5: ad88602d68745eb8ccb04ca51d586113

Hybrid Pelican Komodo Algorithm

Jul 14, 2022 - Purba Daru Kusuma Journal Publication

Purba Daru Kusuma; Ashri Dinimaharawati, 2022, "Hybrid Pelican Komodo Algorithm", https://doi.org/10.34820/FK2/4PZIZ9, Telkom University Dataverse, V1

In this work, a new metaheuristic algorithm, namely the hybrid pelican Komodo algorithm (HPKA), has been proposed. This algorithm is developed by hybridizing two shortcoming metaheuristic algorithms: the Pelican Optimization Algorithm (POA) and Komodo Mlipir Algorithm (KMA).

Paper_7-Hybrid_Pelican_Komodo_Algorithm.pdf

Jul 14, 2022 - Hybrid Pelican Komodo Algorithm

Adobe PDF - 250.2 KB - MD5: 59b43a4331f41ea448ca79f774b37b2b

Stochastic Komodo Algorithm

Jul 14, 2022 - Purba Daru Kusuma Journal Publication

Purba Daru Kusuma; Meta Kallista, 2022, "Stochastic Komodo Algorithm", https://doi.org/10.34820/FK2/UQKWB2, Telkom University Dataverse, V1

A novel metaheuristic algorithm is proposed in this paper, namely stochastic komodo algorithm (SKA). This proposed algorithm is an improved version of Komodo mlipir algorithm (KMA), which is inspired by the behaviour of Komodo during foraging and mating. The improvement is conduc...

published2022083115-2_stochastickomodo.pdf

Jul 14, 2022 - Stochastic Komodo Algorithm

Adobe PDF - 392.0 KB - MD5: 2af2d7da4c397abea5cdc983a8fa7152

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