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Mahmud Basuki
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Program Studi Teknik Industri, Fakultas Teknik, Universitas Teuku Umar, Jalan Alue Peunyareng, Ujong Tanoh Darat, Meureubo, Aceh Barat, Aceh. Kode Pos 23615
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INDONESIA
Jurnal Industri dan Inovasi (INVASI)
Published by Universitas Teuku Umar
ISSN : 30468019     EISSN : -     DOI : -
Core Subject : Science, Engineering,
Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Transportation
Jurnal INVASI: Industri dan Inovasi adalah jurnal ilmiah yang diterbitkan oleh Program Studi Teknik Industri (PSTI), Fakultas Teknik, Universitas Teuku Umar melalui proses review. Jurnal ini bertujuan untuk mempublikasikan hasil penelitian di bidang Teknik Industri yang terbit dua kali dalam setahun yaitu pada bulan September dan Maret. Ruang lingkup keilmuan meliputi Riset Operasi, Sistem Manufaktur, Tekno & Manajemen Industri, Ergonomi dan Sistem Kerja, Logistik dan Supply Chain Management, Lingkungan dan Kesehatan Kerja, Teknologi & Sistem Informasi, Data Mining & Artificial Intelegent, Automasi Industri, Industrial & System Engineering, Rekayasa Kualitas dan Keandalan, Business Development serta kajian ilmiah lainnya sesuai dengan ruang lingkup penelitian Teknik Industri.
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 37 Documents
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ANALISIS SINERGI PERTAMINA DAN TOYOTA DALAM PENGEMBANGAN BIOETANOL: PERSPEKTIF EKONOMI INDUSTRI UNTUK DIVERSIFIKASI ENERGI HIJAU Mifta Khussania Sania
Jurnal Industri dan Inovasi (INVASI) Vol 4, No 1 (2026): Maret
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/invasi.v4i1.14389

Abstract

Abstrak - Studi ini menganalisis kolaborasi antara Pertamina dan Toyota dalam merintis pengembangan bioetanol sebagai alternatif untuk diversifikasi energi yang ramah lingkungan di Indonesia. Mengingat pertumbuhan permintaan energi global yang pesat dan ketergantungan yang tinggi terhadap bahan bakar fosil yang semakin berkurang, kerjasama ini diharapkan dapat memperkuat ketahanan energi nasional dan mendorong peralihan ke sumber energi terbarukan. Pendekatan yang digunakan dalam penelitian ini adalah kualitatif deskriptif, dengan metode studi literatur yang mengumpulkan data sekunder terkait kerjasama antara kedua perusahaan. Hasil penelitian menunjukkan bahwa sinergi ini dapat meningkatkan efisiensi pembakaran mesin dan mengurangi emisi gas buang, serta membangun ekosistem yang saling mendukung dari penyediaan bahan baku hingga distribusi. Dengan adanya dukungan dari kebijakan pemerintah yang berkelanjutan, pengembangan bioetanol berpotensi menjadi salah satu pilar penting dalam menciptakan pasar energi yang lebih berkelanjutan.Abstract -   This study analyzes the collaboration between Pertamina and Toyota in pioneering the development of bioethanol as an alternative for environmentally friendly energy diversification in Indonesia. Given the rapid growth in global energy demand and the decreasing dependence on fossil fuels, this collaboration is expected to strengthen national energy security and encourage a shift to renewable energy sources. The approach used in this research is descriptive qualitative, using a literature review method that collected secondary data related to the collaboration between the two companies. The results indicate that this synergy can improve engine combustion efficiency and reduce exhaust emissions, as well as build a mutually supportive ecosystem from raw material supply to distribution. With the support of sustainable government policies, bioethanol development has the potential to become a crucial pillar in creating a more sustainable energy market
Optimasi Determinan Akuntabilitas Reviewer dalam Sistem Publikasi Ilmiah: Pendekatan PLS-SEM Nabilla Vira Sucipto; Qomariyatus Sholihah; Wahyudi Kuncoro; Safa Naura Riyanda; Nabilah Dzatil Hidayah
Jurnal Industri dan Inovasi (INVASI) Vol 4, No 1 (2026): Maret
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/invasi.v4i1.14430

Abstract

Abstrak Publikasi ilmiah memegang peranan vital sebagai validasi pengetahuan, namun kredibilitasnya rentan terhadap risiko moral hazard dan minimnya studi empiris mengenai akuntabilitas reviewer. Penelitian ini bertujuan menginvestigasi determinan akuntabilitas dengan menguji pengaruh kompetensi, beban kerja, transparansi, dan etika. Menggunakan pendekatan kuantitatif eksplanatori (PLS-SEM), data dikumpulkan dari 50 peneliti muda melalui purposive sampling dan divalidasi dengan kriteria Fornell-Larcker. Hasil penelitian mengungkap temuan dinamis: kompetensi teknis dan transparansi proses tidak berpengaruh signifikan terhadap persepsi akuntabilitas. Sebaliknya, beban kerja menunjukkan pengaruh positif signifikan yang mengindikasikan bahwa tekanan tugas dipersepsikan sebagai tantangan profesional, sementara etika reviewer terkonfirmasi sebagai faktor dominan. Penelitian ini merekomendasikan institusi untuk memprioritaskan internalisasi kode etik dan merancang manajemen penugasan yang menantang namun terukur guna menjaga integritas publikasi. Kata Kunci: Akuntabilitas Reviewer, Etika Publikasi, Beban Kerja, Peneliti Muda, PLS-SEM.
Pengaruh Perspektif Hukum dan Moral Terhadap Etika Penelitian di Bidang Teknologi: Analisis Dengan Structural Equation Modeling (SEM) Safa Naura Riyanda; Qomariyatus Sholihah; Wahyudi Kuncoro; Nabilla Vira Sucipto; Nabilah Dzatil Hidayah
Jurnal Industri dan Inovasi (INVASI) Vol 4, No 1 (2026): Maret
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/invasi.v4i1.14443

Abstract

Rapid technological advancement raises ethical challenges in research, particularly regarding legal and moral aspects. This study examines the effects of legal perspective and moral perspective on research ethics in technology, with research ethics literacy as a mediating variable. A quantitative approach using Structural Equation Modeling–Partial Least Squares (SEM-PLS) was employed. Data were collected from 100 respondents using a Likert-scale questionnaire and analyzed with SmartPLS.The results indicate that research ethics literacy significantly influences research ethics in technology (β = 0.304; p = 0.002), while moral perspective has a significant direct effect (β = 0.436; p < 0.001). Legal perspective shows no direct effect but significantly influences ethics literacy (β = 0.591; p < 0.001) and indirectly affects research ethics through mediation (β = 0.180; p = 0.003). The model explains 35.5% of the variance in research ethics. These findings highlight the critical role of ethics literacy in bridging legal regulations, moral values, and ethical research practices in technology.Keywords: research ethics; legal perspective; moral perspective; ethics literacy; technology research; SEM-PLS
Studi Komparatif MILP dan Heuristik pada Job Shop Scheduling Problem: Minimasi Makespan dan Total Tardiness Andriansyah Hamid
Jurnal Industri dan Inovasi (INVASI) Vol 4, No 2 (2026): Vol 4, No 2 (2026): June
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/invasi.v4i2.15059

Abstract

This study presents a comprehensive analysis of the Job Shop Scheduling Problem (JSSP) with two commonly used objectives in manufacturing: minimizing makespan and minimizing total tardiness. Two approaches are directly compared: an exact model based on Mixed Integer Linear Programming (MILP) solved using Gurobi, and a fast heuristic based on dispatching rules and local search. The study is conducted on 10 random instances (10 jobs, 5 machines, 5 operations per job). The results show that the heuristic is highly competitive for the makespan objective (average gap of 9.25% with approximately 240 times faster computation than MILP). For the tardiness objective under a balanced configuration, the heuristic yields an average defined gap of 52.39% with a runtime cost about 6.0 times slower than MILP. This paper provides a reproducible baseline, data-driven analysis, and technical directions for improving both the quality and efficiency of tardiness-focused heuristics in future research.
Analisis K-Means Clustering untuk Pengelompokan Produksi Padi di Provinsi Aceh Tahun 2025 Syaubari Syaubari; Ilyas Ilyas; Bavitra Bavitra
Jurnal Industri dan Inovasi (INVASI) Vol 4, No 2 (2026): Vol 4, No 2 (2026): June
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/invasi.v4i2.15650

Abstract

Indonesia is an agricultural country that makes rice (Oryza sativa L.) as a major food commodity. Aceh Province is one of the rice-producing regions in Indonesia with varying levels of production in each district/city. This study focuses on the grouping of rice-producing districts/cities in Aceh Province using the K-means clustering method by utilizing two variables, namely the harvested area of rice plants and rice production using 3 clusters for 23 districts in Aceh. The results show that there are 8 districts in cluster 1, 11 districts in cluster 2, and 4 districts in cluster 3. Cluster 3, which consists of 4 districts, is a group of districts with the highest harvested area and rice production compared to other districts/cities in Aceh province.
Klasifikasi Kecacatan Produksi Manufaktur Menggunakan Ensemble Learning: Perbandingan XGBoost, LightGBM, dan Random Forest dengan SHAP Explainability Andriansyah Hamid
Jurnal Industri dan Inovasi (INVASI) Vol 4, No 2 (2026): Vol 4, No 2 (2026): June
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/invasi.v4i2.15508

Abstract

Production defects represent a critical challenge in modern manufacturing industries, directly impacting operational efficiency, production costs, and customer satisfaction. This study proposes an Ensemble Learning-based approach to classify production defect status using the Predicting Manufacturing Defects dataset from Kaggle (3,240 records, 16 features). Three state-of-the-art Ensemble Learning algorithms, XGBoost, LightGBM, and Random Forest, were comprehensively evaluated against Support Vector Machine (SVM) and K-Nearest Neighbor (KNN) as baseline models. Significant class imbalance (84.04% High Defects vs. 15.96% Low Defects) was addressed using Synthetic Minority Over-sampling Technique (SMOTE). Evaluation employed Accuracy, Precision, Recall, F1-Score, AUC-ROC, and 5-fold Cross-Validation. SHapley Additive exPlanations (SHAP) was applied to enhance model interpretability and identify the most influential features. Results show Random Forest achieved the highest accuracy of 94.75% with F1-Score 94.49%, while LightGBM performed best in 5-fold Cross-Validation with mean F1-Score of 95.92% ± 1.07%. SHAP analysis revealed that MaintenanceHours, DefectRate, and QualityScore are the three most dominant factors in determining production defect status.
Analisis Implementasi Green Mining untuk Meminimalkan Dampak Lingkungan: Studi Kasus PT Berau Coal Deea Rizki Rizki Oziana; Widia Geubrina Rezki; Zati Hulwani
Jurnal Industri dan Inovasi (INVASI) Vol 4, No 2 (2026): Vol 4, No 2 (2026): June
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/invasi.v4i2.14961

Abstract

- Indonesia is one of the world’s largest coal producers and exporters. However, coal mining activities pose significant environmental risks such as land degradation, greenhouse gas emissions, and water pollution. This study aims to analyze the implementation of green mining practices by PT Berau Coal in minimizing environmental impacts from its mining operations. The research applies a qualitative single case study approach using secondary data from sustainability reports and scientific publications. The analysis focuses on several key initiatives, including the Berau Coal Green Mining System (BeGeMS), the use of Artificial Intelligence (AI)–based technologies, and environmental evaluation through the Life Cycle Assessment (LCA) approach. The results show that green mining implementation at PT Berau Coal involves various strategies such as post-mining land reclamation and revegetation, emission reduction through B30 biodiesel utilization, energy efficiency programs, biodiversity conservation, and sustainable water and waste management. These initiatives contribute to reducing environmental impacts while supporting operational efficiency. The company’s commitment has also been recognized through the PROPER Gold and Green awards from the Indonesian government. Despite these achievements, the implementation of green mining still faces challenges, particularly high investment costs and evolving environmental regulations. Therefore, stronger collaboration among government, industry, and society is essential to support sustainable mining practices.Keywords: green mining; PT Berau Coal; BeGeMS; life cycle assessment; mine reclamation

Page 4 of 4 | Total Record : 37

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