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All Journal AKSELERASI: Jurnal Ilmiah Nasional Influence: International Journal of Science Review
Muhammad Ihsan
Sekolah Tinggi Teknologi Wastukancana, Purwakarta, Indonesia
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Public Health Social Sciences

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ANALISIS SISTEM PELAYANAN KASIR METODE TUNAI DAN QRIS MENGGUNAKAN PENDEKATAN MOTION AND TIME STUDY DI KEDAI DIMSUM PREMIUM BUNDER Arrya Nugraha Prawira; Muhammad Ihsan; Indra Gumelar
AKSELERASI: Jurnal Ilmiah Nasional Vol 8 No 3 (2026): AKSELERASI: JURNAL ILMIAH NASIONAL
Publisher : GoAcademica Research dan Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54783/jin.v8i3.1882

Abstract

Penelitian ini bertujuan untuk mengevaluasi dan membandingkan waktu baku serta mengidentifikasi pemborosan gerakan (therblig waste) pada metode pembayaran tunai dan Quick Response Code Indonesian Standard (QRIS). Pengumpulan data dilakukan menggunakan teknik stopwatch time study sebanyak 30 sampel observasi per metode, dilanjutkan dengan pemetaan Peta Tangan Kiri dan Tangan Kanan (PTKTK). Hasil pengolahan data menunjukkan waktu baku pembayaran tunai adalah 16,70 detik, sedangkan metode QRIS membutuhkan waktu 30,08 detik. Pengujian statistik menggunakan Independent Sample t-test membuktikan terdapat perbedaan waktu pelayanan yang sangat signifikan secara statistik (p-value 0,000 < 0,05). Analisis kualitatif PTKTK menemukan pemborosan gerak pada metode tunai berupa penggunaan dua tangan secara bersamaan untuk membuka laci tanpa handle, serta postur membungkuk ekstrem. Pada metode QRIS, pemborosan didominasi oleh Unavoidable Delay akibat loading jaringan dan gerakan memindahkan papan QRIS (waste of motion). Sebagai solusi, diusulkan perbaikan tata letak dengan penambahan handle pada laci uang serta fiksasi papan QRIS di area depan (fixed location). Melalui penerapan usulan ini, diestimasi waktu siklus dapat dipangkas menjadi 9,5 detik untuk transaksi tunai dan 19,5 detik untuk QRIS.
PENGARUH KUALITAS PELAYANAN TERHADAP KEPUASAN PELANGGAN PADA BENGKEL MOTOR LDR SPEED Ahmad Nibras Azhari; Muhammad Ihsan; Indra Gumelar
AKSELERASI: Jurnal Ilmiah Nasional Vol 8 No 3 (2026): AKSELERASI: JURNAL ILMIAH NASIONAL
Publisher : GoAcademica Research dan Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54783/jin.v8i3.1910

Abstract

Penelitian ini bertujuan untuk mengkaji pengaruh lima dimensi kualitas pelayanan, yaitu reliability, assurance, responsiveness, empathy, dan tangibles, terhadap tingkat kepuasan pelanggan. Selain itu, penelitian ini juga menyusun rekomendasi perbaikan berdasarkan pendekatan 5W+1H sebagai upaya meningkatkan kualitas pelayanan. Penelitian menggunakan metode kuantitatif dengan pendekatan deskriptif. Pengumpulan data dilakukan melalui penyebaran kuesioner kepada 150 pelanggan Bengkel Motor LDR SPEED sebagai responden penelitian. Data dianalisis menggunakan serangkaian pengujian statistik yang meliputi uji validitas, uji reliabilitas, uji asumsi klasik, analisis regresi linier berganda, uji parsial (uji t), uji simultan (uji F), serta analisis koefisien determinasi (R²). Hasil penelitian menunjukkan bahwa kelima dimensi kualitas pelayanan memberikan pengaruh yang positif dan signifikan terhadap kepuasan pelanggan, baik secara parsial maupun secara simultan. Di antara seluruh variabel yang dianalisis, dimensi assurance merupakan faktor yang memberikan kontribusi paling besar terhadap kepuasan pelanggan dengan nilai koefisien beta sebesar 0,402. Selanjutnya, pengaruh diikuti oleh empathy sebesar 0,381, reliability sebesar 0,366, responsiveness sebesar 0,336, dan tangibles sebesar 0,192. Nilai koefisien determinasi (R²) sebesar 0,667 mengindikasikan bahwa 66,7% variasi kepuasan pelanggan dapat dijelaskan oleh kualitas pelayanan, sedangkan sisanya dipengaruhi oleh faktor-faktor lain di luar model penelitian.
Quality Control Analysis to Reduce Defects in Drawn Textured Yarn Products Using the Six Sigma Method (DMAIC) Ade Irpansah; Muhammad Ihsan; Indra Gumelar
INFLUENCE: INTERNATIONAL JOURNAL OF SCIENCE REVIEW Vol. 8 No. 2 (2026): INFLUENCE: International Journal of Science Review
Publisher : Global Writing Academica Researching and Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54783/influencejournal.v8i2.338

Abstract

PT XYZ is a company engaged in the production of Drawn Textured Yarn (DTY) that continued to experience a high level of product defects, particularly the Dyeing Reject defect type, which accounted for 91.712% of total defects during the January-December 2025 period. This condition indicated that the production process was not yet statistically stable and operated at a low sigma capability level of 2.68 sigma. This study aimed to identify the root causes of defects and to formulate improvement proposals to reduce the number of defective products in the DTY production process using the Six Sigma method with the DMAIC (Define, Measure, Analyze, Improve, Control) approach. In the Measure stage, process stability was assessed using a P-Control Chart, along with DPMO and sigma-level calculations. In the Analyze stage, root causes were identified using a Pareto Diagram, a Fishbone Diagram, and Failure Mode and Effect Analysis (FMEA). The results showed that the root causes originated from machine, man, material, and method factors, with a total Risk Priority Number (RPN) of 2,155. In the Improve stage, improvement proposals were developed using 5W+1H analysis, which reduced the total RPN to 454, a decrease of 1,701 points (78.9%). The Control stage focused on process standardization, continuous monitoring, and operator training to sustain the improvements achieved and to drive the production process toward a zero-defect target.
Cone Crusher Machine Maintenance Analysis Using Overall Equipment Effectiveness (OEE) and Six Big Losses Method to Improve Machine Effectiveness at PT Selo Agung Andhika Ramadhani Ananta Irianto; Muhammad Ihsan; Indra Gumelar
INFLUENCE: INTERNATIONAL JOURNAL OF SCIENCE REVIEW Vol. 8 No. 2 (2026): INFLUENCE: International Journal of Science Review
Publisher : Global Writing Academica Researching and Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54783/influencejournal.v8i2.340

Abstract

PT Selo Agung is a company engaged in andesite stone mining located in Plered, Purwakarta Regency, West Java. Its cone crusher machine plays a vital role in crushing andesite stone into construction material, but its performance is frequently hindered by component failures and suboptimal maintenance activities, resulting in high downtime and disrupted production. This study aims to analyze the effectiveness of the cone crusher machine using the Overall Equipment Effectiveness (OEE) method, identify the factors causing the decline in production effectiveness through Six Big Losses calculation, and propose improvements to enhance machine effectiveness. Historical data from February 2025 to January 2026 were processed by calculating Availability, Performance Efficiency, and Quality Ratio, followed by Six Big Losses analysis, a fishbone diagram, and improvement proposals using the 5W+1H method. The results show that the average OEE value of the cone crusher machine was only 56.10%, far below the JIPM world-class standard of 85%, falling into the Unacceptable category. Availability at 67.86% was the largest contributor to the gap, followed by Performance Efficiency at 85.14% and Quality Ratio at 97.08%. Equipment Failure (Breakdown) Losses was identified as the most dominant loss, contributing 53.08% of total losses, mainly caused by the absence of scheduled preventive maintenance. The proposed improvements include implementing scheduled preventive maintenance with periodic replacement of the mantle and concave, developing a written maintenance SOP, operator training, and stabilizing material supply along with regular Closed Side Setting (CSS) calibration. Consistent long-term implementation (12-18 months) of these proposals is projected to raise the OEE value from 56.10% to 83.05%, approaching the world-class standard.
Quality Control Analysis to Minimize Defective Products Using the Failure Mode and Effects Analysis (FMEA) Method in the Karya Raharja Village-Owned Enterprise (BUMDES) Convection Business Janwar Saputra; Farliana Sutartiah; Muhammad Ihsan
INFLUENCE: INTERNATIONAL JOURNAL OF SCIENCE REVIEW Vol. 8 No. 2 (2026): INFLUENCE: International Journal of Science Review
Publisher : Global Writing Academica Researching and Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54783/influencejournal.v8i2.349

Abstract

The convection business unit operated by BUMDes Karya Raharja, located in Galudra Village, Pondok Salam Subdistrict, Purwakarta Regency, continues to face a high defect rate, averaging 15.52% per month, due to limited resources, the absence of standard operating procedures (SOPs), and a quality control system that has not been implemented optimally. This study aims to identify the failure modes occurring in the convection production process, assess their risk levels using the Failure Mode and Effect Analysis (FMEA) method, and formulate improvement proposals to reduce the defect rate. A descriptive case-study approach with a mixed-method design was employed, combining quantitative data on production and defect volumes with qualitative data obtained through observation and interviews across four production stages: cutting, sewing, finishing, and packing. Process FMEA (PFMEA) was applied to calculate the Risk Priority Number (RPN) for each failure mode, followed by the development of corrective actions using the 5W+1H approach. The results identified six failure modes with RPN values ranging from 108 to 280. Four failure modes were categorized as high priority (RPN ≥ 200): defective/stained fabric passing through to the finishing stage (RPN 280), loose or broken sewing thread (RPN 256), untidy stitching (RPN 252), and cut-fabric dimensions not matching the pattern (RPN 210). The sewing and finishing stages were identified as the critical points in the production process. The resulting improvement proposals are practical and do not require significant investment or complex systems. This study demonstrates that FMEA can be effectively applied in a resource-limited, village-owned enterprise (BUMDes) convection business.
Quality Control Analysis to Reduce the Number of Defects in DTY Yarn Products Using the Six Sigma (DMAIC) Method at PT. XYZ Muhammad Ihsan; Althaaf Fawwaz Wanna; Indra Gumelar
INFLUENCE: INTERNATIONAL JOURNAL OF SCIENCE REVIEW Vol. 8 No. 2 (2026): INFLUENCE: International Journal of Science Review
Publisher : Global Writing Academica Researching and Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54783/influencejournal.v8i2.352

Abstract

This study aims to identify the dominant types of defects, analyze the root causes of product defects, and propose quality improvement recommendations to reduce the defect rate of DTY products. The research employed the Six Sigma method using the Define, Measure, Analyze, Improve, and Control (DMAIC) approach integrated with Failure Mode and Effect Analysis (FMEA). In the Define phase, the production process was identified through a SIPOC diagram and the determination of Critical to Quality (CTQ) characteristics. The Measure phase included the calculation of defect proportions, control charts, Defects per Million Opportunities (DPMO), sigma level, and process capability. The Analyze phase utilized Pareto diagrams, Fishbone diagrams, and FMEA to identify the root causes of defects and determine improvement priorities based on the Risk Priority Number (RPN). The Improve phase generated improvement recommendations using the 5W+1H approach, while the Control phase provided recommendations to sustain the implemented improvements. The results showed that during the January–December 2025 period, total production reached 3,793,630 kg, with 116,148 kg of defective products, resulting in a defect rate of 3.06%, which exceeded the company's maximum tolerance limit of 1%. Pareto analysis identified four dominant defect types: Dyeing Reject (31.73%), Damaged (23.76%), DP Handling (23.25%), and Cutting (20.39%). The FMEA results indicated that the highest-priority risks were Dyeing Reject caused by misthreading and Cutting caused by material property problems, both with an RPN value of 300. The proposed improvements focus on enhancing operator competence through training, ensuring consistent implementation of Standard Operating Procedures (SOPs), performing preventive machine maintenance, strengthening raw material quality control, improving workplace cleanliness, and enhancing production process supervision. The implementation of these recommendations is expected to reduce product defects, improve process capability, and support the achievement of product quality standards established by the company.
Co-Authors Ade Irpansah Ahmad Nibras Azhari Althaaf Fawwaz Wanna Andhika Ramadhani Ananta Irianto Arrya Nugraha Prawira Farliana Sutartiah Indra Gumelar Janwar Saputra