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PENGARUH PERSEPSI KUALITAS TERHADAP KEINGINAN MEMBELI PRODUK OTOMOTIF DI ERA PANDEMI COVID-19 DENGAN PROMOSI DAN BRAND IMAGE SEBAGAI VARIABEL MODERATING Muhammad Ibrahim Ats-Tsauri; Muhammad Syahri Nur Afif; Yulizan Rizki; Alfa Firdaus
Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) Vol 16, No 1 (2022): Jurnal PASTI
Publisher : Universitas Mercu Buana

Pandemi COVID-19 telah memberikan dampak besar pada penjualan produk otomotif. Kontribusi industri manufaktur mobil terhadap PDB pada 2020 tercatat mengalami penurunan sebesar 14,10% atau setara Rp 23,7 triliun. Hal ini karena penjualan mobil mengalami penurunan 48.4%. Penelitian ini bertujuan untuk mengetahui pengaruh persepsi kualitas terhadap keinginan membeli produk otomotif di era pandemi COVID-19 dengan promosi dan brand image sebagai variabel moderating. Variabel yang dipilih adalah persepsi kualitas produk dan keinginan membeli, dengan promosi dan brand image sebagai variabel moderating. Uji statistik dan pengolahan data dilakukan dengan metoda SEM-PLS pada software SmartPLS 3.0, disertai dengan bootstrapping. Temuan penelitian menunjukan bahwa: (1) Persepsi kualitas berpengaruh secara moderat terhadap promosi; (2) Persepsi kualitas berpengaruh secara moderat terhadap keinginan membeli; (3) Persepsi kualitas tidak berpengaruh terhadap brand image; (4) Promosi berpengaruh secara moderat terhadap brand image; (5) Promosi tidak memiliki pengaruh terhadap keinginan membeli; dan (6) Brand image berpengaruh secara moderat terhadap keinginan membeli.

Strategi Penentuan Supplier untuk Mitigasi Dampak Kenaikan Harga Bahan Baku pada Industri Manufaktur Baja lapis seng Muhammad Ibrahim Ats-Tsauri; Isdaryanto Iskandar; Barita Raja Siregar
Operations Excellence: Journal of Applied Industrial Engineering Vol 14, No 1, (2022): OE Maret 2022
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2022.v14.i1.038

According to the concept of supply chain management, one of the possible solutions for mutual survival in a turbulent world market is chain cooperation among the producer, his suppliers, and customers. The problem of supplier selection and determination of material quantities supplied is one of the most important activities in the supply chain. The purpose of this research is to propose a model for supplier selection for Cold Rolled Coil (CRC) supply by using Analytical Hierarchy Process (AHP), based on decision-making criteria validated by experts in the galvanizing industry. This study found that for galvanizing industry the weight of importance of Cost, Quality, Product, Service, and Delivery criteria is 0.47, 0.19, 0.19, 0.07, and 0.07, respectively. Supplier ranking based on their importance to the industry’s purpose has also been found, which would assist the decision-making process in determining CRC suppliers.

Practical Considerations for Face Recognition System Implementation: Retail Business Use Case Ayata Arrasyid; Muhammad Ibrahim Ats-Tsauri; Deby Candrakirana; Ilham F Nurdayat; M. S. Nur Afif
Jurnal Optimalisasi Vol 8, No 2 (2022): Oktober
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v8i2.5756

COVID-19 pandemic has proven experts’ prediction which stated that traditional retail might not survive in the coming age. During the pandemic, many longstanding retail brands barely survived, and some of them even went out of business. To survive and thrive, implementation of digital technologies to drive a more convenient shopping experience and enhance customer experience has proven to be crucial in gaining customer loyalty. One of the use cases that is gaining popularity nowadays is the implementation of Face Recognition system. The purpose of this study is to propose the practical solutions to three underlying issues of Face Recognition implementation: the simple but effective choice of framework, the discreet but effective way to arrange camera locations, and the light but robust choice of algorithm that could deliver good accuracy with minimum resources. This study used explorative descriptive method, combining authors’ direct experience with literature study. The result of this study is: proposed implementation framework, proposed camera arrangement, and proposed use of Neural Network algorithm with image augmentation. This study hopefully could give context to academics and fellow practitioners of the steps needed to implement Face Recognition to solve real world issues.

A conceptual model for energy management in the steel industry: A Soft System Methodology (SSM) approach Muhammad Ibrahim Ats-Tsauri; Bagus Wilarnugroho; Humiras Hardi Purba
SINERGI Vol 26, No 3 (2022)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2022.3.007

This paper aims to use Soft Systems Methodology (SSM) to develop the steel industry's energy management framework. It proposes a soft system approach to analyze the complex situation of developing a support system for energy management. This approach consists of identifying the system scope, discovering underlying problems within, deriving a conceptual model from the complex situation, and identifying possible actors and activities to bring the conceptual model closer to reality. The identified activities could serve as a guideline for designing and developing an effective energy management framework in the steel industry. The result might also be further developed to drive the feasible, desirable changes into real implementation strategies and action plans. Currently, there is very limited SSM academic research in energy management. Hence the researchers sincerely hope that this study might help to drive the SSM methodology application in this field, in conjunction with the body of knowledge of Industrial and Systems Engineering (IISE).

Analysis of vulnerability and capability for development of supply chain resilience framework M. Syahri Nur Afif; Sumarsono Sudarto; M. Ibrahim Ats Tsauri; Hery Sumardiyanto
Journal Industrial Servicess Vol 8, No 2 (2022): October 2022
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/jiss.v8i2.15936

The current COVID-19 pandemic has significantly impacted all sectors, including the automotive industry. The automotive industry is one of the industries that contribute significantly to economic growth in Indonesia. With supply chain disruptions and vulnerabilities amid the COVID-19 pandemic, the demand for supply chain resilience is echoing in the business world. It is essential to develop resilience capabilities promptly because supply chain vulnerabilities can cause severe financial loss for organizations. This research aims to group the variables of vulnerability and capability to perform processing more easily in prioritizing the appropriate vulnerabilities and capabilities. The factor analysis method is designed to group variables in many factors with almost the exact nature and characteristics, making it easier to simplify and analyze further. The results of the study found that the vulnerability variable has three factors, namely (i) financial vulnerability, (ii) operational vulnerability, and (iii) external vulnerability, then these three factors are divided into thirteen indicators. While the factors that are formed from the ability variable are five factors, namely (i) cooperation, (ii) anticipation, (iii) financial strength, (iv) capacity, and (v) flexibility, then the five factors are divided into thirteen indicators. Following the research objectives, grouping and simplifying these priority factors can become a reference for researchers or companies to manage supply chains that are more resilient amid disruptions due to the impact of the COVID-19 pandemic effectively and efficiently.

Tinjauan Literatur Sistematis Implementasi Total Quality Management pada Industri Manufaktur â€“ Tren Terkini dan Arahan Masa Depan Ats-Tsauri, Muhammad Ibrahim; Setiawan, Rudy; Wiyatno, Tri Ngudi
JURNAL TEKNIK INDUSTRI Vol. 2 No. 2 (2021): JURNAL TEKNIK INDUSTRI : NOVEMBER 2021
Publisher : DPPM UNIVERSITAS PELITA BANGSA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (847.511 KB)

Tujuan utama dari makalah ini adalah untuk menganalisis penelitian terkini tentang Total Quality Management (TQM) di industri manufaktur dan mengidentifikasi peluang penelitian lebih lanjut. Penelitian ini menggunakan tinjauan pustaka sistematis dari artikel ilmiah terbaru (2016-2021) yang dicari dengan mengikuti kriteria inklusi dan eksklusi yang spesifik. Ditemukan tiga kategori utama tujuan penelitian, yaitu: pengembangan TQM, strategi TQM, dan dampak TQM. Beberapa tahun belakangan, riset mengenai dampak TQM adalah yang paling populer dan selalu ada dari tahun ke tahun, sedangkan riset mengenai pengembangan TQM adalah yang paling tidak popular. Penelitian ini dapat memberikan wawasan kepada peneliti, konsultan, dan manajer kualitas dalam pengembangan dan implementasi TQM di sektor manufaktur. Penelitian ini menemukan bahwa meskipun penelitian tentang bagian-bagian TQM (seperti alat TQM) sangat banyak, penelitian tentang metodologi TQM secara menyeluruh ternyata tidak banyak. Riset empiris tentang digitalisasi TQM atau yang lebih dikenal dengan Quality 4.0 bahkan belum ada, padahal sudah dipopulerkan sejak tahun 2017 setelah berkembangnya ndustri 4.0.

Optimisasi Non Linear Programming Multivariat pada Perencanaan Produksi Industri Manufaktur Baja Lapis Seng (BjLS) Ats-Tsauri, Muhammad Ibrahim; Arrasyid, Ayata; Wiyatno, Tri Ngudi
JURNAL TEKNIK INDUSTRI Vol. 3 No. 1 (2022): JURNAL TEKNIK INDUSTRI : MEI 2022
Publisher : DPPM UNIVERSITAS PELITA BANGSA

The main objective of this study was to examine the potential of production planning process optimization in Zinc Plated Steel (BjLS) manufacturing industry through Non Linear Programming (NLP) simulation. The manufacturing industry in the steel sub -sector is one of the strategic industries as it is a pillar of national development. Global competition requires companies to continuously improve the efficiency of their production activities, which is heavily influenced by the production planning process. With good production planning, it is hoped that the company can optimize the use of limited resources to achieve the company's goals. This study found that the most appropriate optimization to the real situation of the BjLS manufacturing industry is multivariate NLP with constraints on production volume, production time, raw material supply and budget to purchase raw materials. This research can also provide input on the production mix that best suits the companyâ€™s resources.

Optimisasi Rute Pengiriman Produk Komponen Otomotif (Traveling Salesman Problem) Melalui Pendekatan Heuristik Afif, M Syahri Nur; Tsauri, M. Ibrahim Ats; Hadiwijaya, Syahrif
JURNAL TEKNIK INDUSTRI Vol. 3 No. 1 (2022): JURNAL TEKNIK INDUSTRI : MEI 2022
Publisher : DPPM UNIVERSITAS PELITA BANGSA

On -time delivery is a key KPI in the supply chain of automotive component manufacturing companies such as PT XYZ. Delays in delivery can result in large losses as customer stop line losses will be charged to the company. Delivery delays also lead to reduced customer satisfaction and increased transportation costs. Therefore, it is necessary to optimize product delivery to customers to achieve timely delivery targets, achieve customer satisfaction, and transportation cost efficiency. This study aimed to find a solution to the Traveling Salesman Problem (TSP) with the Cheapest-Insertion Heuristics (CIH) heuristic approach. Heuristic methods are methods used to solve problems by trial and error when the algorithmic approach is considered impractical and inefficient to produce a solution. The results show that the CIH method can produce an optimal route that is NIP-CHN-KID-MKI-SRI-MTAT-NIP with a minimum distance of 290 km.

Strategi Peningkatan Akreditasi Pusat Kegiatan Belajar Masyarakat (PKBM) dengan Pendekatan Interpretive Structural Modeling (ISM) Putera, Hilmana Radhia; Ats-Tsauri, M. Ibrahim; Ropandi, Yaya
JURNAL TEKNIK INDUSTRI Vol. 3 No. 02 (2022): JURNAL TEKNIK INDUSTRI : NOVEMBER 2022
Publisher : DPPM UNIVERSITAS PELITA BANGSA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/jutin.v3i02.1624

PKBM XYZ is a non-formal educational institution that received the recognition of C. This result illustrates that the quality assurance of education is still low there. This research aims to analyze PKBM's accreditation improvement strategy using the Interpretive Structural Modeling (ISM) approach so that it is known which accreditation instruments need to be prioritized for improvement to produce better education and accreditation at PKBM. The data collection method was carried out by distributing questionnaires to experts who are teachers and one of the founders of PKBM. Data analysis and processing using ISM equipped with MICMAC. The results of this study show that in order to improve accreditation at PKBM it is necessary to implement several activities: The first priority is to increase the points of educator experience and educator qualifications; The second priority is to increase the competence points of educators and the suitability of teaching materials; The third priority is to increase the number of learning methods.

Strategi Peningkatan Akreditasi Pusat Kegiatan Belajar Masyarakat (PKBM) dengan Pendekatan Interpretive Structural Modeling (ISM) Putera, Hilmana Radhia; Ats-Tsauri, M. Ibrahim; Ropandi, Yaya
JURNAL TEKNIK INDUSTRI Vol. 3 No. 02 (2022): JURNAL TEKNIK INDUSTRI : NOVEMBER 2022
Publisher : DPPM UNIVERSITAS PELITA BANGSA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/jutin.v3i02.1624

PKBM XYZ is a non-formal educational institution that received the recognition of C. This result illustrates that the quality assurance of education is still low there. This research aims to analyze PKBM's accreditation improvement strategy using the Interpretive Structural Modeling (ISM) approach so that it is known which accreditation instruments need to be prioritized for improvement to produce better education and accreditation at PKBM. The data collection method was carried out by distributing questionnaires to experts who are teachers and one of the founders of PKBM. Data analysis and processing using ISM equipped with MICMAC. The results of this study show that in order to improve accreditation at PKBM it is necessary to implement several activities: The first priority is to increase the points of educator experience and educator qualifications; The second priority is to increase the competence points of educators and the suitability of teaching materials; The third priority is to increase the number of learning methods.

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