Claim Missing Document
Check
Articles

Found 15 Documents
Search

Optimalisasi Perencanaan Produksi untuk Meminimalisasi Biaya Produksi dengan Menggunakan Metode Sales and Operations Planning di PT.XYZ Sastya, Nur Cholifah; Rr. Rochmoeljati; Isna Nugraha
Tekmapro Vol. 19 No. 2 (2024): TEKMAPRO
Publisher : Program Studi Teknik Industri Universitas Pembangunan Nasional Veteran Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/tekmapro.v19i2.416

Abstract

PT XYZ merupakan produsen keramik, mengatasi tantangan dalam perencanaan produksi dengan menerapkan metode Sales and Operations Planning (S&OP) untuk memperkirakan permintaan dengan akurat, mengelola persediaan dengan efisien, dan merespons dengan cepat terhadap perubahan pasar. Melalui S&OP, yang mengintegrasikan aspek penjualan dan operasional, PT XYZ bertujuan untuk mencapai keseimbangan antara permintaan pelanggan dan kapasitas produksi. Strategi yang dipilih, Strategi Chase, meminimalkan biaya dibandingkan dengan opsi lainnya dengan total biaya sebesar RP27.321.035.884, sedangkan dengan metode perusahaan sebesar Rp27.622.020.605, level strategy sebesar Rp27.373.675.763, dan mix strategy sebesari 27.373.151.541. Meramalkan periode masa depan melibatkan penggunaan regresi linier untuk memprediksi permintaan, yang menghasilkan ramalan 12 periode. Perencanaan produksi agregat dalam Strategi Chase menyesuaikan jumlah produksi untuk memenuhi permintaan yang diprediksi, mempertimbangkan hari kerja dan lembur untuk mengimbangi kekurangan produksi. Hasil dari peramalan perencanaan produksi mendatang dengan Chase strategy sebesar Rp.30.246.005.414.
An Extended TAM Approach to Understanding Behavioral and Institutional Drivers of Drone Technology Adoption in Indonesia’s Green Economy Khofiyah, Nida; Isna Nugraha; Hasyrani Windyatri
Journal of Advances in Information and Industrial Technology Vol. 7 No. 2 (2025): Nov
Publisher : LPPM Telkom University Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/jaiit.v7i2.732

Abstract

Indonesia’s transition toward a green economy requires the adoption of efficient and environmentally friendly technologies, including drone systems that offer substantial benefits across agriculture, forestry, and green logistics. However, adoption remains limited due to behavioral and institutional barriers. This study applies an extended Technology Acceptance Model (TAM) to examine how Environmental Concern (EC), Government Support (GS), Facilitating Conditions (FC), Perceived Ease of Use (PEOU), and Perceived Usefulness (PU) shape Behavioral Intention (BI) toward drone adoption in Indonesia. Using SEM-PLS and data from 112 practitioners and stakeholders, the results reveal that FC has a strong and significant effect on PEOU, while EC and GS do not significantly influence PU, indicating limited perceived relevance of environmental awareness and government policy in shaping usefulness perceptions. Furthermore, PEOU significantly affects PU and BI, and PU significantly enhances BI, confirming the central role of usability and functional benefits in driving adoption. These findings highlight that effective infrastructure, operational support, and usability improvements are more influential than environmental or regulatory factors in promoting drone technology. The study provides strategic recommendations for policymakers and industry actors to strengthen institutional facilitation, improve capacity building, and enhance the practical value of drones to advance Indonesia’s green economic transformation.
Identification of Hazards and Risks of Forklift Activities in Warehouse Areas Using the HIRARC Method in the Green Safety Concept Muhammad Ilham Adi Prayoga; Isna Nugraha
Jurnal Serambi Engineering Vol. 11 No. 1 (2026): Januari 2026
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In warehouse operations PT XYZ, forklift activities represent one of the main sources of hazards due to direct interaction between humans, machines, and the work environment. Common risks include collisions between forklifts and pedestrians, falling loads, vehicle overturning, and impacts with warehouse structures, which may lead to serious injuries and material damage. This study aims to identify hazards and assess the risk level of forklift activities in the PT XYZ warehouse area to reduce the risk of forklift operation and provide risk control through the Green Safety concept. This study uses the Hazard Identification, Risk Assessment, and Risk Control (HIRARC) method and designs a risk control strategy based on the Green Safety concept. The results indicate five main activities that have potential risks, with the highest risk found in forklift operations along pedestrian paths and storage areas, having a risk value of 16 (high category) and a potential for collisions and worker injuries. Risk control efforts were carried out by separating forklift and pedestrian pathways, installing green reflective markings, and implementing IoT-based technologies such as distance sensors, speed limiters, and CCTV monitoring. The Green safety approach was also applied through the use of natural lighting and transparent roofing to improve visibility and energy efficiency.
Optimizing Coil Raw Material Inventory for Pipe Manufacturing Using EOQ, Reorder Point and Safety Stock at PT. XYZ Kemal Darma Nazidan; Isna Nugraha
Jurnal Serambi Engineering Vol. 11 No. 1 (2026): Januari 2026
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Steel coil raw material inventory plays an important role in ensuring the smooth production process. PT XYZ faces inventory instability, both in the form of shortages and excess stock, which causes production constraints and increases storage costs. This study aims to determine the most accurate forecasting method, calculate the economic order quantity, determine the reorder point, and determine the amount of safety stock so that inventory control is more optimal each month. The methods used include forecasting with Economic Order Quantity to predict raw material needs and calculations. Reorder Point and Safety Stock to determine the order quantity, optimal inventory, and the minimum point of raw materials for restocking. Based on the analysis results, the pattern of steel coil usage shows a seasonal trend. The forecasting results using the Weighted Moving Average method provide the smallest error rate with an MSE value of 5,856,347.80 and a MAD of 2,175.80. Through the application of the EOQ method, the optimal order quantity is 3039 tons, a reorder point of 3162 tons, and a safety stock value of 4,572.447 tons. The conclusion obtained from this study is that the forecasting and EOQ methods are able to increase the efficiency of inventory control and minimize the risk of shortages of coil raw materials every month at PT XYZ.
Evaluasi Dampak Lingkungan Produksi Tepung Terigu Menggunakan Life Cycle Assessment dan Analytic Network Process Rayhan Fatur Maulana; Farida Pulansari; Isna Nugraha
Jurnal Teknika Vol 18 No 1 (2026): MARET
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/jt.v18i1.1630

Abstract

Konsumsi energi listrik yang tinggi pada sistem milling industri berkontribusi signifikan terhadap peningkatan intensitas karbon dan rendahnya efisiensi energi pada industri pengolahan pangan. Penelitian ini bertujuan untuk mengevaluasi kinerja energi dan profil emisi karbon sistem produksi tepung terigu melalui integrasi metode Life Cycle Assessment (LCA) dan Analytic Network Process (ANP) dengan batas sistem cradle-to-gate yang mencakup proses cleaning, dampening, conditioning, milling, packaging, dan distribusi. Hasil LCA menunjukkan bahwa proses milling merupakan hotspot utama dengan kontribusi sekitar 70–90% dari total dampak sistem dan nilai single score sebesar ±2,41E3 Pt dari total ±2,5E3 Pt. Kategori perubahan iklim (±2–3 Pt) dipengaruhi dominan oleh konsumsi energi listrik. Berdasarkan nilai Specific Energy Consumption (SEC) sebesar 60 kWh/ton dan faktor emisi grid nasional sebesar 0,749 kgCO₂/kWh, diperoleh intensitas karbon proses milling sebesar 44,94 kgCO₂/ton produk. Tahap distribusi memberikan kontribusi tambahan sebesar ±78,3 Pt akibat penggunaan bahan bakar diesel. Hasil ANP menunjukkan bahwa kriteria Technical Energy Performance memiliki bobot tertinggi (0,39120), diikuti Cost Impact (0,34732) dan Operational Feasibility (0,26148), dengan strategi prioritas utama berupa optimasi konsumsi energi listrik pada proses milling (0,10921). Integrasi LCA–ANP menghasilkan kerangka manajemen energi industri yang terstruktur melalui peningkatan efisiensi sistem motor listrik dan reduksi intensitas karbon pada operasi milling berdaya tinggi.