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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 373 Documents
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Implementation of Data Mining to Classify Potential Customers Using the C5.0 Algorithm Rizki, Muhammad; Maghfirah, Cintya Nil; Norhiza, Fitra Lestari; Nofirza, Nofirza; Lubis, Fitriani Surayya
JTI: Jurnal Teknik Industri Vol 11, No 1 (2025): JUNI 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v11i1.39167

Abstract

PT Pegadaian, as listed on its official website, is a fast-growing financial company. One of its key challenges is late installment payments, which can lead to financial losses. Using pawn customer data from 2013 to 2021, this study found that out of 534 customers, 68 were late in paying installments, and 10 did not pay. To address this issue, this research applies customer classification to identify borrowers who are more likely to pay on time. The classification model is developed using data mining with the C5.0 algorithm to generate decision-tree rules. Prior to modeling, the dataset is processed through the Knowledge Discovery in Databases (KDD) stages, including data selection, cleaning, and transformation. The proposed model produces 26 classification rules and achieves an accuracy of 87.04%. All data processing, modeling, and validation are conducted using RapidMiner Studio. Keywords: Classification, Decision Tree, C5.0 Algorithm, Data Mining
Analysis of Biomass Potential and Carbon Stocks on Various Vegetation Types in Trembesi City Forest and Putroe Phang City Forest in Banda Aceh Harahap, Fadhilah; Suhardi, Suhardi; Akbar, Halim
JTI: Jurnal Teknik Industri Vol 12, No 1 (2026): Juni 2026
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v12i1.39247

Abstract

Urban forests play an important role in climate change mitigation by storing biomass and carbon. This study aims to analyze the potential of biomass and carbon stocks in various types of vegetation in the Trembesi City Forest and Putroe Phang City Forest in Banda Aceh. The study uses a quantitative descriptive approach through vegetation inventory, employing non-destructive sampling methods. Field data in the form of tree type, number of individuals, and trunk diameter are used to calculate biomass using allometric equations, then converted into carbon stocks. The results of the study show that the Trembesi City Forest has a higher biomass potential and carbon reserves than the Putroe Phang City Forest. This is influenced by the dominance of large-diameter, wide-headed trees, which contribute significantly to biomass accumulation. In contrast, the Putroe Phang Urban Forest has a more diverse vegetation structure, but is dominated by medium-sized trees, resulting in relatively lower biomass potential and carbon reserves. The findings of the study confirm that the size of the diameter of the tree is a major factor in determining the amount of biomass and carbon reserves. Thus, the presence of large trees in urban forests plays a strategic role in improving the area's ecological function as a carbon store and supporting the sustainability of the urban environment. Keywords: Biomass, Carbon Reserves, Urban Forests, Vegetation, Banda Aceh.
Systematic Literature Review on the Integration of Total Quality Management and Green Manufacturing in Enhancing Sustainable Manufacturing Competitiveness Wisnianingsih, Nova; Tri Putri, Nilda; Hasan, Alizar; Hendra, Franka
JTI: Jurnal Teknik Industri Vol 12, No 1 (2026): Juni 2026
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v12i1.39230

Abstract

Global pressures on the manufacturing industry to enhance competitiveness while simultaneously meeting sustainability demands have intensified the need for integrated managerial approaches. Total Quality Management (TQM) has long been recognized as a fundamental driver of organizational performance through continuous improvement and customer orientation, while green manufacturing has emerged as a key strategy for reducing the environmental impacts of production processes. However, existing literature indicates that these two approaches are often implemented in isolation, limiting their potential synergy in building sustainable manufacturing competitiveness. This article aims to conduct a Systematic Literature Review (SLR) to comprehensively examine the integration of TQM and green manufacturing and its contribution to enhancing manufacturing competitiveness. The SLR method was applied by reviewing peer-reviewed and reputable scientific publications from the past five years, including empirical studies, conceptual frameworks, and prior systematic reviews. The findings reveal that TQM functions as an organizational capability that facilitates the adoption of green manufacturing practices through the strengthening of quality culture, leadership commitment, and employee involvement. The integration of TQM and green manufacturing is shown to have a positive impact on sustainability performance, environmental performance, green innovation, and competitive advantage in manufacturing firms. This study contributes by developing an integrative conceptual framework that positions TQM as a strategic enabler of green manufacturing within the context of sustainable manufacturing competitiveness, while also identifying research gaps and future research agendas, particularly in developing countries.

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