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All Journal JURNAL PASTI (PENELITIAN DAN APLIKASI SISTEM DAN TEKNIK INDUSTRI) OPERATION EXCELLENCE: Journal of Applied Industrial Engineering Jurnal Ilmiah Teknik Industri Indonesian Journal of Industrial Engineering & Management Proceeding Mercu Buana Conference on Industrial Engineering
Hia, Selamat Walmanto
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Transportation

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Faktor-Faktor yang Memengaruhi Kinerja Karyawan di Indonesia: Sebuah Kajian Literatur Mangasi, Evan Yosua; Hia, Selamat Walmanto
Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) Vol 18, No 3 (2024): Jurnal PASTI
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/pasti.2024.v18i3.009

Abstract

Kinerja karyawan sangat penting bagi organisasi untuk kemajuan dan sustainability pertumbuhan perusahaan. Artikel ini membahas faktor-faktor yang memengaruhi kinerja karyawan di Indonesia. Tujuan dari penelitian ini adalah untuk mengetahui faktor-faktor yang mempengaruhi kinerja karyawan, sehingga para pimpinan perusahaan dan karyawan dapat memahami dan fokus pada peningkatan faktor tersebut. Metode yang digunakan adalah kajian literatur yang dilakukan terhadap 30 jurnal yang sudah diseleksi dengan topik faktor yang memengaruhi kinerja. Metode yang digunakan dalam menseleksi jurnal adalah mencari jurnal-jurnal yang melakukan penelitian terkait kinerja dan faktor yang mempengaruhinya. Penelitian dalam jurnal dilakukan terhadap berbagai jenis industri di Indonesia.  Rentang waktu penerbitan jurnal adalah tahun 2012 sampai tahun 2023.  Berdasarkan analisa frekuensi ditemukan 23 faktor yang memengaruhi kinerja karyawan. Dari 23 faktor yang ditemukan, terdapat  3 faktor yang menduduki ranking teratas paling banyak muncul dalam jurnal. Ketiga faktor tersebut adalah motivasi kerja, pelatihan dan gaya kepemimpinan. Jika perusahaan ingin meningkatkan kinerja karyawan maka motivasi kerja harus ditumbuhkan dari dalam diri individu. Dalam kaitan itu penting peranan pemimpin sebagai motivator yang dapat membangkitkan motivasi kerja karyawan. Selain itu, melalui pelatihan yang diberikan kepada karyawan maka kemampuan dan keterampilan mereka meningkat dan hal itu berdampak pada peningkatan kinerja.
Reduce mean time to repair of mining equipment with lean six sigma Hia, Selamat W.; Pramudjito, Prasetyo Adji Dian
Operations Excellence: Journal of Applied Industrial Engineering Vol. 16, No. 3 (2024): OE November 2024
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2024.v16.i3.125

Abstract

As the size and complexity of mining equipment grow, the impact of equipment failure becomes increasingly critical, often leading to costly downtime and production delays. Mining equipment performance depends on several factors, including equipment reliability, the operating environment, maintenance efficiency, operating processes, and the technical expertise of the personnel. Improving equipment reliability is essential to address these challenges, and one effective approach is to reduce the mean time to repair (MTTR), which significantly affects equipment availability.  This study presents a case study on reducing the MTTR of the starter motor for coal mining equipment using the Lean Six Sigma method. Lean Six Sigma combines the principles of lean manufacturing and Six Sigma to identify inefficiencies and reduce variability. The findings reveal a substantial reduction in MTTR from 110 minutes to 10 minutes. Statistical analysis using a two-sample t-test confirms the significance of the improvement, with the process capability index (cpk) increasing from -2.94 to 6.96. This case study demonstrates the potential of Lean Six Sigma to address critical maintenance challenges, improve operational efficiency, and enhance equipment reliability in the mining sector.
Application of Measurement System Analysis (MSA) for Assesment of Tire Pressure Monitoring in Coal Mining Trucks Hia, Selamat W.
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 5, No 3: October 2024
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v5i3.26255

Abstract

Tire pressure plays an important role in ensuring safe operation and performance of truck vehicles. Improper tire pressure always leads to tire life, vehicle safety, and performance. This paper discusses the application of measurement system analysis on truck tire pressure in a coal mining company. The study evaluates the measurement system of truck tire pressure. The company aims to extend the life span of its tire by maintaining and monitoring the tire pressure regularly. The tire pressure is measure by a pressure gauge. This study used measurement system analysis (MSA) to analyze the Gage R&R, with 2 tire men and 10 parts measured with 3 repetitions. The MSA results in a Total Gage R&R of 18.16% with a repeatability value of 12.34% and a reproducibility value of 13.32%. The result indicated that the measurement system showed good results for tire measurement applications because the Gage R&R was between 10% to 30%.
Evolving Patterns in Lean Six Sigma Project Selection Methods Hia, Selamat Walmanto
Proceeding Mercu Buana Conference on Industrial Engineering Vol 7 (2025): SMART AND SUSTAINABLE INDUSRIES : DRIVING LOW-EMISSIONS AND RENEWABLE ENERGY TRANSFORM
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/MBCIE.2025.34483

Abstract

Penelitian ini bertujuan untuk mengidentifikasi dan menganalisis metode yang digunakan dalam pemilihan dan prioritisasi proyek Lean Six Sigma (LSS), serta mengevaluasi pendekatan yang paling sering diterapkan dalam literatur. Metode yang digunakan adalah tinjauan literatur sistematis terhadap 44 artikel jurnal ilmiah terindeks yang diterbitkan antara tahun 2010 hingga 2024. Artikel yang dianalisis secara khusus membahas berbagai pendekatan pengambilan keputusan dalam seleksi proyek LSS. Hasil kajian menunjukkan bahwa Analytic Hierarchy Process (AHP) merupakan metode yang paling banyak digunakan, sering kali dikombinasikan dengan metode lain seperti Data Envelopment Analysis (DEA) dan teknik Multi-Criteria Decision Making (MCDM) untuk meningkatkan objektivitas dan akurasi keputusan. Selain itu, metode Best-Worst Method (BWM), sebagai pendekatan yang lebih baru, semakin sering digunakan terutama dalam studi dari India, karena kemampuannya dalam mengelola sejumlah besar kriteria secara efisien dan konsisten. Studi ini juga mengungkap tren kuat menuju penggunaan pendekatan hybrid dan berbasis data, yang dianggap lebih adaptif terhadap kompleksitas proyek serta tuntutan era digital. Temuan ini memberikan kontribusi penting bagi pengembangan kerangka kerja seleksi proyek yang lebih sistematis, fleksibel, dan kontekstual dalam implementasi Lean Six Sigma.
LEAN AND SIX SIGMA IN MARITIME OPERATIONS: A TEN-YEAR SYSTEMATIC LITERATURE REVIEW Hia, Selamat
Jurnal Ilmiah Teknik Industri Vol. 13 No. 1 (2025): Jurnal Ilmiah Teknik Industri : Jurnal Keilmuan Teknik dan Manajemen Industri
Publisher : Program Studi Teknik Industri, Fakultas Teknik Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jitiuntar.v13i1.34748

Abstract

This study presents a systematic review of Lean and Six Sigma (LSS) implementation in the maritime sector for the period 2016–2025, encompassing the contexts of ports, shipyards, logistics, the LNG industry, fisheries, and ship design. The analysis reveals a shift in focus from initial case studies to strategic implementation integrated with digital transformation, supply chain resilience, and sustainability. DMAIC and Value Stream Mapping methodologies dominate as the primary framework, supported by the integration of Industry 4.0 technologies and data analytics to maximize process efficiency. Quantitative evidence demonstrates the reduction in process time, reduction in defect rates, and significant operational cost savings. However, the success of LSS implementation is highly influenced by management support, human resource readiness, and the availability of reliable data, with the main obstacles being cultural resistance, limited initial investment, and lack of technical training. This study confirms that the future of LSS in the maritime sector is moving towards a hybrid model that combines Lean, Six Sigma, digitalization, and sustainability principles, which has the potential to become a global best practice in increasing the competitiveness of the maritime industry in an era of competition and uncertainty in the global supply chain.
Co-Authors Mangasi, Evan Yosua Pramudjito, Prasetyo Adji Dian