cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Fitra Lestari, M.Eng, Ph.D
Contact Email
fitra.lestari@uin-suska.ac.id
Phone
+628116901601
Journal Mail Official
jti.fst@uin-suska.ac.id
Editorial Address
Jl. HR. Subrantas KM 15 Kampus UIN Sultan Syarif Kasim Riau
Location
Kab. kampar,
Riau
INDONESIA
Jurnal Teknik Industri : Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri
Published by Universitas Islam Negeri Sultan Syarif Kasim Riau
ISSN : 2460898X     EISSN : 27146235     DOI : http://dx.doi.org/10.24014/jti
Core Subject : Science, Social, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Engineering Environmental Science Industrial & Manufacturing Engineering
(ISSN : 2460-898X) JTI merupakan jurnal akademik yang dipublikasikan 2 kali setahun, meliputi bulan Juni dan Desember. Tujuan jurnal ini menyediakan tulisan yang memiliki yang fokus pada bidang Teknik Industri. lebih lanjut jurnal ini dipulikasikan oleh Jurusan Teknik Industri Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan syarif Kasim Riau. Tulisan yang diterima merupakan hasil originalitas dan memberikan kontribusi yang belum pernah dipublikasikan sebelumnya.
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 398 Documents
 36   37   38   39   40 
A Robust Quality-Control Framework for Standardizing Potato-Chip Frying Parameters Using Goal Programming and Monte Carlo Simulation Cicilia Sriliasta Bangun; Andre Wicaksana; Edwar; MD. Amperajaya; Antoniette T. Mollejon
JTI: Jurnal Teknik Industri Vol 12 No 2 (2026): December 2026
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v12i2.39798

Abstract

Capacity expansion in continuous food processing can destabilize quality when operating settings developed for a lower-throughput line are carried forward without statistical revalidation. This issue is pronounced in potato-chip frying, where moisture removal, oil uptake, immersion condition, and residence time interact during processing. Previous studies have explained frying mechanisms or proposed optimized parameter values, but fewer have shown how those results can be converted into Statistical Process Control (SPC) routines that operators can monitor and act on. This study proposes an integrated quality-control framework to standardize frying parameters after a 22% demand surge increased waste from 1-5% to approximately 20%. Historical shift-level records from March-May 2025 were treated as Phase-I data; after structural cleaning and IQR-based screening, 113 of 132 records were retained. The framework connects CTQ identification, empirical response modelling, lexicographic goal programming, Monte Carlo validation, scenario-tested operating windows, sensitivity ranking, Ppk review, and SPC deployment. Moisture content and oil content were selected as CTQs. Simulation results showed stable moisture performance, whereas oil content remained the limiting CTQ with predictive Ppk of 0.92. The framework offers a practical bridge between optimization results and shop-floor SPC implementation for post-expansion frying stabilization.
Multidimensional Performance Measurement Based on Social Return on Investment (SROI) in Sustainable Spring Management Systems Matheus Nugroho; Yustinus Budi Hermanto; M. Imron Mas’ud
JTI: Jurnal Teknik Industri Vol 12 No 2 (2026): December 2026
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v12i2.39744

Abstract

This study aims to develop and apply a multidimensional performance measurement framework based on Social Return on Investment (SROI) to evaluate the sustainability and productivity of spring management systems. A mixed-method approach was employed using an extended six-stage SROI framework integrating economic, social-institutional, environmental, cultural-spiritual, and health-wellbeing dimensions. Data were collected from 187 stakeholders through structured surveys, in-depth interviews, focus group discussions, 18 months of participatory observation, spring discharge measurements, and secondary data sources. The novelty of this research lies in the integration of the Sustainable Livelihoods Framework and Social-Ecological Systems perspective into a multidimensional SROI model capable of capturing both market and non-market values, including cultural and social benefits. The results reveal an SROI ratio of 4.1:1, indicating that every unit of investment generated 4.1 units of social value. Economic impacts contributed 44% of the total benefits, followed by social-institutional (31%), environmental (18%), and cultural-spiritual (7%) dimensions. Productivity improvements were reflected through increased household income, reduced resource access time, enhanced ecosystem services, and strengthened local governance. The study demonstrates that sustainable spring management depends not only on ecological restoration but also on social capital and cultural engagement. This framework provides a comprehensive decision-support tool for assessing sustainability performance and guiding evidence-based conservation policies.
Development of a Movement-Triggered Inventory Checking Method for Earlier Detection of Inventory Record Inaccuracy Abdul Wahab Rambe; Sri Hartini; Naniek Utami Handayani
JTI: Jurnal Teknik Industri Vol 12 No 2 (2026): December 2026
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v12i2.40100

Abstract

Inventory Record Inaccuracy (IRI) remains a major challenge in warehouse management because discrepancies between physical inventory and system records can disrupt material availability, operational efficiency, and managerial decision-making. Although cycle counting is widely used to maintain inventory accuracy, periodic verification may delay the detection of discrepancies caused by frequent material receipt, issuance, and relocation activities. Existing studies have largely emphasized technological solutions, including barcode systems, Radio Frequency Identification (RFID), and digital inventory platforms, while event-based verification integrated into daily warehouse operations has received limited attention. This study proposes a Movement-Triggered Inventory Checking (MTIC) method as an event-based approach to support earlier detection of inventory record inaccuracies. Design Thinking was employed to identify operational problems, develop the method, design the verification workflow, and conduct a one-month pilot implementation. The pilot involved all inventory items experiencing receipt, issuance, or relocation transactions during the observation period, totaling 75 items recorded in the MySAP/ERP system. Physical quantities were compared with SAP inventory records. The implementation identified 25 inventory discrepancies (33.33%), while 50 items (66.67%) were consistent with system records. These findings indicate that inventory discrepancies remain substantial under conventional periodic verification and highlight the importance of validating physical inventory closer to material movement events. The proposed MTIC method provides a practical event-based verification framework linking physical checks directly to recorded material movements, supporting earlier discrepancy detection and improved transaction traceability in oil and gas warehouse operations and strengthens inventory control within routine warehouse activities.
Redesign Workstation Based on Anthropometry to Reduce Packing Delay and Improve Production Performance Misbach Munir; M. Imron Mas'ud; Subchan Asy'ari
JTI: Jurnal Teknik Industri Vol 12 No 2 (2026): December 2026
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v12i2.39737

Abstract

This study aims to redesign the workstation in the filling-packing process based on anthropometric data to reduce packing delay and improve production performance. Previous workstation redesign studies have predominantly focused on operator comfort and ergonomic considerations, while the integration of anthropometric design with work activity analysis and production performance, particularly in addressing human–machine imbalance in filling-packing operations, remains limited. The study employed a quantitative ergonomic approach involving 30 operators, with data collected through direct observation, interviews, anthropometric measurements, work activity analysis, and packing time measurement. Anthropometric data were analyzed to determine workstation dimensions, while the existing and redesigned work sequences were compared to identify inefficient activities and evaluate improvements in production performance. The redesign used the 50th percentile anthropometric dimensions as the primary design basis, resulting in a conveyor height of 102 cm, worktable height of 80 cm, worktable length of 73 cm, and worktable width of 144 cm. The redesigned workstation reduced the packing time per carton from 24.0 seconds to 11.2 seconds, representing a 53.3% reduction. The redesigned work sequence also reduced unnecessary movements and waiting activities, thereby improving workflow and reducing product accumulation at the conveyor end. These findings demonstrate that anthropometry-based workstation redesign, combined with work activity improvement, can contribute to reducing packing delays and improving production performance by supporting a more balanced interaction between operator capability and machine output.
An Integrated IPA–Kano Framework for Service Quality Improvement in Local Tour and Travel Services Tedi Dahniar; Yudi Maulana; Wahyu; Wanto Sarwoko
JTI: Jurnal Teknik Industri Vol 12 No 2 (2026): December 2026
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v12i2.39918

Abstract

Service quality evaluation in tour and travel services requires not only identifying attributes that customers consider important but also understanding how their fulfillment or absence affects customer satisfaction. Although Importance–Performance Analysis (IPA) and the Kano Model have been applied in various service contexts, their combined application to translate customer evaluations into actionable improvement priorities for local tour and travel service providers remains contextually underexplored. This study evaluates service quality improvement priorities at CV Mutiara Katulistiwa using an integrated IPA–Kano approach. A quantitative survey was conducted with 99 customers selected through purposive sampling. Twenty-five service attributes covering tangibles, reliability, responsiveness, assurance, and empathy were evaluated based on customer importance, perceived performance, and satisfaction characteristics. IPA identified five attributes in the Concentrate Here quadrant, while the Kano Model classified the attributes into Must-be, One-dimensional, and Indifferent categories. The integrated analysis identified on-order service availability and tourism service security as critical mandatory priorities, whereas complaint responsiveness, service information availability, and tour guide competence emerged as performance-improvement priorities. The integrated IPA–Kano approach provides a structured prioritization mechanism that distinguishes attributes requiring immediate corrective action from those that should be maintained or further developed. Rather than proposing a new integration method, this study extends its application to a local tour and travel service context and demonstrates how integrated customer evaluations can be translated into a practical service-improvement roadmap for small service providers.
Redesigning a Sustainable Business Strategy for Traditional Snack MSMEs: An Integrated BMC and VPC Approach for Digital Transformation Riri Mardaweni; Raden Meina Widiastuti
JTI: Jurnal Teknik Industri Vol 12 No 2 (2026): December 2026
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v12i2.39325

Abstract

Micro, Small, and Medium Enterprises (MSMEs) often struggle to formulate sustainable business strategies. This research aims to formulate a development strategy for Good Real Pasundan, a kerupuk gudril MSME in Pangandaran, by integrating the Business Model Canvas (BMC) and Value Proposition Canvas (VPC) frameworks. A descriptive qualitative case study approach was employed through observations, owner interviews, and a 100-respondent survey. The VPC was utilized to evaluate product-market fit by mapping customer pains and gains. The VPC analysis revealed low brand awareness and the absence of nutritional value information as primary customer pains, alongside high expectations for a consistently crispy texture and savory taste (gains). Based on these empirical findings, the initial BMC hypothesis was comprehensively revised. The resulting strategic recommendations include specifically targeting crispy and savory traditional snack lovers, strengthening the value proposition through nutritional transparency and product legality, and transforming digital distribution channels via marketplaces and social media. Ultimately, this market-verified BMC provides a robust operational roadmap for Good Real Pasundan to accelerate its competitiveness and achieve sustainable digital ecosystem growth.
Quantifying Threshold Sensitivity in Vision-Based Ergonomic Assessment: Decision Stability of RULA and REBA in a Batik Workshop Siswiyanti; Olivia Suci Fajriati; Diajeng Tyas Purwa Hapsari; Gunawan Raharjo
JTI: Jurnal Teknik Industri Vol 12 No 2 (2026): December 2026
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v12i2.40558

Abstract

Automated pose-estimation pipelines usually report one RULA or REBA score per frame, without indicating whether that decision would survive small errors in the estimated joint angles. Both instruments convert continuous angles into ordinal categories through fixed thresholds and non-additive lookup tables, so the same angular error may leave one decision unchanged while reversing another. Earlier vision-based studies report aggregate agreement with reference systems or experts; none attaches a robustness statement to the individual decision. This study proposes a reproducible protocol that does so. It combines an observability audit, conditional lower and upper bounds for decisions whose inputs cannot all be seen, controlled angle-level perturbation at magnitudes anchored to published single-camera angle errors (σ = 2, 5, 8, and 12°), and a set of metrics in which baseline decision retention (BDR) measures whether the reported decision survives and the Ergonomic Decision Stability Index (EDSI) measures the probability of the most frequent category after perturbation. The protocol was instantiated on one batik worker (four photographs, four videos). At the level of the RULA action level, the four photographed postures retained their lower-bound decision in at least 93% of replications at σ = 5°, although two of them lay only 0.1° and 0.2° from a component threshold, where distance-based predictors anticipated retention of only 21–52%. The same posture that was stable under RULA retained its REBA risk level in only 49% of replications. Unobserved inputs left the final action level undetermined between its bounds for every posture. Across 534 video frames, component-level stability fell from 0.88 at 2° to 0.40 at 12°. The results demonstrate the method on one case; they do not support population inference or a validated triage rule.
Integration of DMAIC and Two-Level Fuzzy AHP for Diagnosing and Prioritizing Waste and Potential Causes of Welding Defects in a Sidebeam Bogie Frame I Putu Dhanu Artha; Anak Agung Istri Agung Sri Komaladewi; I Gusti Ngurah Priambadi
JTI: Jurnal Teknik Industri Vol 12 No 2 (2026): December 2026
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v12i2.40931

Abstract

Welding defects remain a critical quality issue in the robotic minor assembly welding process of the TB1014 Sidebeam Bogie Frame, affecting production efficiency and product quality. This study aims to evaluate baseline process performance, identify and prioritize manufacturing waste and its underlying causes, and propose a structured improvement roadmap. A Lean Six Sigma framework using the Define–Measure–Analyze–Improve–Control (DMAIC) approach was integrated with a two-level Fuzzy Analytic Hierarchy Process (Fuzzy AHP). Process performance was evaluated using Value Stream Mapping (VSM), time study, a u′-control chart, Defects Per Million Opportunities (DPMO), and sigma level analysis. We then applied Fuzzy AHP to expert judgments from ten respondents to prioritize four waste categories, followed by a 6M fishbone analysis and a second Fuzzy AHP assessment of potential cause categories. The results identified 485 welding defects across 21 inspected units, corresponding to a DPMO of 136,658.21 and a sigma level of 2.60. Undercut accounted for 57.1% of defects, while Process Cycle Efficiency (PCE) was only 4.88%. Defects emerged as the dominant waste category (0.7174), while Machine (0.4803), Method (0.2890), and Man (0.1596) were the leading potential cause categories. However, weak expert agreement and sensitivity to respondent selection indicate uncertainty in the prioritization results. Based on these findings and corrective-action records, an improvement roadmap is proposed focusing on seam-tracking verification, robot parameter standardization, jig and fixture positioning, tack welding, and fit-up control. The proposed improvements require implementation and empirical validation to establish their effectiveness.

Page 40 of 40 | Total Record : 398

 36   37   38   39   40 

Filter by Year

2015 2026


Reset
Filter By Issues
All Issue Vol 12 No 2 (2026): December 2026 Vol 12 No 1 (2026): June 2026 Vol 11 No 2 (2025): December 2025 Vol 11 No 1 (2025): JUNI 2025 Vol 10 No 2 (2024): December 2024 Vol 10, No 1 (2024): JUNI 2024 Vol 9, No 2 (2023): DESEMBER 2023 Vol 9, No 1 (2023): JUNI 2023 Vol 8, No 2 (2022): DESEMBER 2022 Vol 8, No 1 (2022): JUNI 2022 Vol 7, No 2 (2021): DESEMBER 2021 Vol 7, No 1 (2021): JUNI 2021 Vol 6, No 2 (2020): DESEMBER 2020 Vol 6, No 1 (2020): JUNI 2020 Vol 5, No 2 (2019): DESEMBER 2019 Vol 5, No 1 (2019): JUNI 2019 Vol 4, No 2 (2018): DESEMBER 2018 Vol 4, No 1 (2018): JUNI 2018 Vol 4, No 1 (2018): JUNI 2018 Vol 3, No 2 (2017): DESEMBER 2017 Vol 3, No 1 (2017): JUNI 2017 Vol 2, No 2 (2016): DESEMBER 2016 Vol 2, No 1 (2016): JUNI 2016 Vol 1, No 2 (2015): DESEMBER 2015 Vol 1, No 1 (2015): JUNI 2015 More Issue