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All Journal J@TI (TEKNIK INDUSTRI) Jurnal Teknik Industri USU Media Teknika PRODUCTUM : Jurnal Desain Produk (Pengetahuan dan Perancangan Produk) Jurnal Ilmiah Teknik Industri Jurnal Sistem Teknik Industri Jurnal Optimalisasi Prosiding Seminar Nasional Universitas Serambi Mekkah
Rosnani Ginting
Universitas Sumatera Utara
Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Transportation Other

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Journal : Jurnal Sistem Teknik Industri

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Parallel Scheduling using Genetic Algorithm and Knowledge Based Approach Gurusinga, Mentari Oktaria; Ginting, Rosnani; Sinulingga, Sukaria
Jurnal Sistem Teknik Industri Vol. 27 No. 2 (2025): JSTI Volume 27 Number 2 April 2025
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v27i2.19099

Abstract

Production scheduling are very important considering the complexity of the production system. This study aims to solve parallel machine scheduling to get the best job sequence and minimize lateness. Genetic algorithm is optimization algorithms by implementing evolution process and eliminating bad solutions. Knowledge based approach (KBA) solve problems by creating a computing system to imitates human intelligent behavior. Genetic algorithm and KBA are combined with the earliest due date (EDD) rule to produce an inference engine to build more adaptive population initialization. The results of the proposed scheduling show that the rules successfully guide the search process more adaptively. The genetic operation increasing the fitness value when the job is overload or underload. When the job is underload fitness increases by 3.56%, there is no lateness and load capacity ratio (LCR) increase by 4.67%. When the overload fitness increases by 1%, lateness decreases by 4.57%, and LCR decreases by 7.56%. The increase of fitness value shows better results of the proposed job sequence with minimum lateness. The implementation of integration genetic algorithms and KBA using VB.Net language requires a reasonable computing time, which is an average of 32 seconds when running.
Additive Manufacturing in Prosthetics Field: A Literature Review Ginting, Rosnani; Ishak, Aulia; Nasution, Fadylla Ramadhani Putri; Malik, Alfin Fauzi; Bangun, Putri Syahmina Atirah
Jurnal Sistem Teknik Industri Vol. 27 No. 3 (2025): JSTI Volume 27 Number 3 July 2025
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v27i3.20416

Abstract

Prosthetic devices play a critical role in restoring mobility and enhancing the quality of life for individuals who have experienced limb loss due to trauma, disease, or congenital conditions. However, the high cost, discomfort, and limited accessibility of conventional prosthetics present ongoing challenges. In response, Additive Manufacturing (AM), particularly 3D printing, has emerged as a transformative solution in the field of prosthetics. This technology enables the creation of patient-specific prosthetic components with complex geometries, improved fit, and reduced weight, all while lowering production costs and minimizing the need for post-processing. Through a comprehensive review of recent studies, this paper explores the advancements and applications of AM in prosthetics, including the integration of machine learning, finite element method (FEM) simulations, and new materials such as PLA, ABS, ASA, and carbon fiber-reinforced composites. Research findings indicate that AM facilitates the development of durable, lightweight, and anatomically accurate devices, such as transfemoral sockets and prosthetic thumbs, which pass international fatigue and safety standards. The studies also highlight the advantages of AM in pediatric prosthetic design, where rapid anatomical changes necessitate frequent adjustments. By streamlining the production process and enabling customization, AM significantly improves comfort, usability, and accessibility for users. This review concludes that additive manufacturing holds immense potential to revolutionize prosthetic development by offering cost-effective, sustainable, and user-centered solutions. The continued advancement and integration of digital manufacturing technologies are poised to address existing limitations in prosthetic care and support the growing global demand for innovative, inclusive, and high-quality assistive devices.
Co-Authors A. Jabar M. Rambe A. Jabbar M. Rambe A.Rahim Matondang Abdul Rahim Matondang Adrian Hartanto, Adrian Akhmad Bajora Nasution Alfin Fauzi Malik Alvin Setiawan Amelia, Tia Apriani Bangun Arief Rachman S Aulia Ishak Bangun, Putri Syahmina Atirah Batubara, Theresia Yosephin Candra, Muhammad Chenio, Alkent Dalimunthe, Sri Baginda Dudin, Sa Elisabeth Ginting Erinsyah Maulia R Erwin Sitorus Febi Ardani Fedrico, Fedrico Gurusinga, Mentari Oktaria Hendra Frengky Tampubolon Hidayati, J Humala L Napitupulu Ikhsan Siregar Indi, Benedictus Vito Bayu Aji Ir. Elisabeth Ginting,MSi Juliza Hidayati Khatami, Muhammad Khawarita Siregar Laulia Ariyani Rangkuti Lestari, Suci Ayu Lia Maretty P. Listiani Nurul Huda Lusiana Pane M.Zulfin Malik, Alfin F Malik, Alfin Fauzi Marito Magdalena Martyanto M. Tumanggor Martyanto M. Tumanggor Matius J Situmorang Muhammad Zulfin Nainggolan, Evelin R Nasution, Fadylla Ramadhani Putri Nurhadi, Danang Nurul huda, Listiani Panjaitan, Nismah Prof. Dr. Ir. A. Rahim Matondang MSIE Rumapea, Elsa S E Sadikin Halim Safitriyawi, Roja Suci Ayu Lestari Sugi Arto Sugih Arto Pujangkoro Sukaria Sinulingga Terang Ukur HS. Ginting Thoha, Abdillah Ukurta Tarigan Ulfah, Tya Utomo, Caroline Wendy Suwarjono Widodo Widodo Winnugroho Wiratman, Manfaluthy Hakim, Tiara Aninditha, Aru W. Sudoyo, Joedo Prihartono Yazid, Shishilya Yogi Khairi Hasibuan Yoseinaita Sembiring