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All Journal OPERATION EXCELLENCE: Journal of Applied Industrial Engineering Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JOURNAL OF APPLIED INFORMATICS AND COMPUTING Indonesian Journal of Halal Research Jurnal Optimalisasi Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Pengabdian kepada Masyarakat Nusantara Dinamika Kerajinan dan Batik : MAJALAH ILMIAH Brilliance: Research of Artificial Intelligence Jurnal Industri dan Inovasi (INVASI) Jurnal Polimesin Dinamika Kerajinan dan Batik: Majalah Ilmiah
Rizki Agam Syahputra
Universitas Teuku Umar
Religion Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Transportation Other

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Journal : OPERATION EXCELLENCE: Journal of Applied Industrial Engineering

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Supply Chain Risk Management Design for U-Hansa Product in Relation to Covid-19 Pandemics Friesca Erwan; Prima Denny Sentia; Zaty Fadhilla; Didi Asmadi; Raihan Dara Lufika; Rizki Agam Syahputra
Operations Excellence: Journal of Applied Industrial Engineering Vol. 14, No. 2, (2022): OE JULY 2022
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2021.v13.i2.057

Abstract

The recent Covid-19 pandemics situation has brought a lot of discussion on how to manage a supply chain in uncertainty since the dynamic of pandemics risk has altered the way a supply chain is organized. This research aims to identify, asses and manage the possible risks on supply chain that may occur in relation to production process of U-Hansa (USK Hand Sanitizer) following a high demand of hand sanitizer during the pandemics. This research performed risk breakdown structure to identify risks, evaluated the risks using risk matrix 5x5 (MIL-STD-882B) and create risk mapping using the big picture approach. This research revealed that there are 15 risks involved in U-Hansa production process that can potentially disrupt the whole supply chain process of U-Hansa. Factors such as raw material shortage during the Covid-19 lockdown, insufficient production capacity and the limitation of machinery and equipment to support the production contributes to the noticeable risk potential in the overall U-Hansa supply chain network. The overall findings of this research are expected to help the decision-making process that can be utilized in the post-Covid-19 pandemics setting.
The application of machine learning algorithms for assessing the maturity level of palm fruits as the prominent commodity in the Western-Southern Area of Aceh Syahputra, Rizki Agam; Widarta, Fajar Okta
Operations Excellence: Journal of Applied Industrial Engineering Vol. 16, No. 1, (2024): OE March 2024
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2024.v16.i1.102

Abstract

The potential of palm oil plantations in Aceh is substantial, with the province ranking eighth in Indonesia for palm oil cultivation. Aceh boasts a vast oil palm plantation area of 470.8 thousand hectares, comprising 44% of Aceh's total plantation land. Palm fruit quality directly impacts palm oil production, emphasizing the need for consistent maturity levels. To address this, computer algorithms, especially machine learning, have been applied. This study introduces the Self-Organizing Map (SOM) Algorithm for palm fruit maturity determination. SOM's reliability in capturing dataset topology offers a diverse classification process, revolutionizing palm fruit maturity detection and optimizing palm oil production. This study uses 40 dataset consisted of 20 mature and 20 unmature palm fruit image as the basis data which then converted into RGB and HSV value with Matlab engine. The result of the study indicates that the SOM algorithm is capable of classifying the maturity detection with 100% precision result. The SOM algorithm is synthesized in a Graphical User Interface that is capable of reading and classifying the input data into the output cluster.
Co-Authors Abdiel Khaleil Akmal Adib Adib Adib Adib, Adib Andriansyah Arifin, Riski Arrazy Elba Ridha Aulia Putri, Cut Widy Baehaqi Chairil Akbar Cleopatra, Ratu Cut Widy Aulia Putri Dewi Andriani Didi Asmadi Erwan, Friesca Fadjrin, Sitti Fajar Okta Widarta Friesca Erwan Friesca Erwan Fuad Dwi Hanggara Habib Satria Hanifah, Maulia Rahmi Iing Pamungkas Ilyas Ilyas Ilyas Ilyas Irawan, Heri Tri Irawan, Risnadi Iskandar Hasanuddin Kasmawati Kasmawati Lestari, Rachmatika Lestari, Suci Ayu Lufika, Raihan Dara Mahmud Basuki Maliza, Noer Octaviana Muhammad Reza Aulia Nica Astrianda Noer Octaviana Maliza Noprita, Zikra Nova Nova Novianda, Dinda Octaviana Maliza, Noer Qadrinadia, Ivana Raihan Dara Lufika Ratu Cleopatra riza ulhaq Rosalina, Dian Safitriyawi, Roja Sentia, Prima Denny Sofiyanurriyanti Sugeng Santoso Suhendra, Rivansyah Suhendrianto Suhendrianto Suhendrianto Suhendrianto, Suhendrianto Sulaeman, Sarah Suryadi Suryadi Suryadi Suryadi Syahputra , Dedek Syahriza Syahriza Syamsiar, Syamsiar Teuku Andhika Malik Rahman Ulfa Syahputri Ulfah, Tya Wyona Allysha Rustandi Putri Yulia Annisa Zaty Fadhilla Zhaqiri, Hazdfi Zuhri, Sarika Zuhri, Sarika