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Jurnal INTECH Teknik Industri Universitas Serang Raya
Published by Universitas Serang Raya
ISSN : 2407781X     EISSN : 26552655     DOI : -
Core Subject : Science, Engineering,
Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation
Jurnal INTECH Teknik Industri Universitas Serang Raya, dengan nomor terdaftar ISSN 2407-781X (Print) dan 2655-2655 (online) adalah jurnal ilmiah yang diterbitkan oleh Program Sudi Teknik Industri, Fakultas Teknik, Universitas Serang Raya. Jurnal ini bertujuan untuk mempublikasikan hasil penelitian di bidang Teknik Industri yang diterbitkan dua kali setahun. Ruang lingkup Ilmu mencakup Riset Operasi, Sistem Manufaktur, Manajemen Industri, Ergonomi dan Sistem Kerja, Logistik dan Manajemen Rantai Pasokan, dan studi ilmiah lainnya sesuai dengan bidang lingkup penelitian Teknik Industri.
Arjuna Subject : -
Articles 7 Documents
 1 
Search results for , issue "Vol. 11 No. 1 (2025): Juni" : 7 Documents clear
Strategi Ketahanan Supply Chain Maritime di Perusahaan Freight Forwarding dengan Pendekatan QFD Berbasis Macroergonomi Yuliawati, Evi; Mohamad, Silvana; Fasih, Ahmad
Jurnal INTECH Teknik Industri Universitas Serang Raya Vol. 11 No. 1 (2025): Juni
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/intech.v11i1.7895

Abstract

The increasing demand for maritime logistics services requires freight forwarding companies to initiate new ways to operate more efficiently. Business challenges will continue to grow, so companies must balance the quality of logistics services desired by consumers with maritime risks that could disrupt the company's operational performance. This study analyzes the resilience of a freight forwarding company's maritime supply chain. A three-phase Quality Function Deployment (QFD) approach was implemented to develop maritime risk mitigation strategies. The Macroergonomic Analysis of Structure (MAS) perspective involves three elements of the socio-technical system: the technology subsystem, personnel, and external environment. A more optimal work system structure design is hoped to be produced. Integrating the QFD approach based on the MAS perspective resulted in designing maritime supply chain resilience strategies across three subsystem categories. Some of the strategies obtained for each subsystem are as follows: the strategy for the technology subsystem is to implement IT security measures against the potential risk of hacker attacks. The strategy for the personnel subsystem for the top three potential risks is to schedule maintenance for irregular crane maintenance, conduct training for the potential risk of unskilled warehouse operators, and schedule maintenance for the potential risk of irregular truck maintenance. The strategies for the external environment subsystem for the top three potential risks are: designating a maintenance point of contact (PIC) and spare parts for potential crane machine damage, conducting proper maintenance for potential truck machine damage, and obtaining insurance for potential unpredictable road accidents.
Penerapan Metode DMAIC untuk Mengurangi Scrap pada Proses Cutting Fabrikasi Tangki Ermawati, Eli; Purba, Humiras Hardi; Rimawan, Erry
Jurnal INTECH Teknik Industri Universitas Serang Raya Vol. 11 No. 1 (2025): Juni
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/intech.v11i1.8152

Abstract

Pertumbuhan sektor liquid telah membuka peluang bisnis yang signifikan dalam industri manufaktur, khususnya pada fabrikasi tangki. Hal ini menyebabkan peningkatan permintaan terhadap material plat baja, yang pada gilirannya menimbulkan permasalahan peningkatan jumlah scrap yang dihasilkan. Penelitian ini bertujuan untuk mengidentifikasi penyebab terjadinya scrap dalam proses cutting dan mencari solusi untuk meminimalkan scrap tersebut dengan menerapkan metode Six Sigma DMAIC (Define, Measure, Analysis, Improvement, dan Control), yang mengarah pada pemilihan strategi perencanaan yang lebih optimal. Penelitian menunjukkan bahwa pendekatan Six Sigma, dan  Design of Experiments (DoE) menghasilkan scrap paling sedikit didapat dengan kombinasi tebal plat 4 mm dimensi 1460 mm, menghasilkan scrap sebanyak 7,890 Kg. Hasil perbaikan terhadap faktor penyebab scrap pada proses cutting, perusahaan dapat mengurangi kerugian sebesar Rp.337.794.647 selama 6 bulan atau Rp.56.299.107/bulan menjadi Rp.263.262.544 atau Rp.43.877.090/bulan. Perusahaan dapat menghemat Rp. 12.422.017/ bulan. Hasil menunjukkan bahwa tingkat cacat (DPMO) masih tinggi (568) dengan nilai sigma σ 5,75 di bawah target dunia 6σ (3,4 DPMO). Faktor utama penyebab terjadinya scrap adalah dengan adanya kesalahan dimensi dan pemilihan ketebalan plat pada saat proses cutting maka dengan mengimplementasi Six Sigma DMAIC dan DoE dapat secara signifikan mengurangi scrap dan meningkatkan efisiensi operasional dalam industri manufaktur.
Analisis Pengaruh Green Manufacturing terhadap Firm Performance pada Sektor Industri Manufaktur Alas Kaki Robbi, Anis Iman Illahi; Nuryanto, Uli Wildan; Handayani, Yolla Sukma
Jurnal INTECH Teknik Industri Universitas Serang Raya Vol. 11 No. 1 (2025): Juni
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/intech.v11i1.9458

Abstract

The footwear industry in Indonesia faces major challenges in maintaining competitiveness and operational efficiency, especially amid global pressure to implement sustainability principles. As one of the approaches that prioritizes efficient and environmentally friendly resource management, green manufacturing is a major concern for companies in improving performance. This study aims to analyze the influence of green manufacturing implementation on company performance in the footwear industry. The data analysis technique used in this study is SEM (Structural Equation Modelling) with the LISREL 8.80 program. Data was collected through a questionnaire distributed to managers and operational staff in several footwear companies in Tangerang Regency to test the relationship between green manufacturing variables and company performance measured based on green design, green process, and green procurement. The study results show that implementing green manufacturing has a positive and significant influence on the performance of footwear industry companies. Applying environmentally friendly technology and using energy and raw materials efficiently has been proven to increase productivity and reduce operational costs. In addition, companies that adopt green manufacturing also recorded improved product quality that is more consistent and in accordance with international standards. This study concludes that applying green manufacturing principles can be an effective strategy to improve the performance of footwear industry companies in terms of productivity, cost efficiency, and product quality. Therefore, companies in this sector are advised to integrate green manufacturing into their production processes to support sustainability and competitiveness in the global market.
Deep Learning Based Recommendation System for Employee Retention Using Bipartite Link Prediction Siregar, Ivan Michael; Othman, Zulaiha Ali; Bakar, Azuraliza Abu
Jurnal INTECH Teknik Industri Universitas Serang Raya Vol. 11 No. 1 (2025): Juni
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/intech.v11i1.10069

Abstract

The Human Resources (HR) department faces significant challenges in employee retention. Traditional methods, such as performance evaluations and career development using regression, association, and clustering, have been widely used and have yielded positive results. However, these approaches are limited in predicting changes in employee behaviour and capturing complex relationships between variables. In this study, we leverage AI advancements to enhance predictive analysis by utilizing deep learning’s ability to identify patterns and complex relationships while continuously adapting to employee behavior changes. Specifically, we integrate Graph Convolutional Network (GCN) deep learning-based and bipartite graph-based approaches to construct a robust link prediction model. The bipartite employee-training network serves as input to the GCN, where each convolutional layer aggregates information from neighboring nodes, leveraging observed link information at each hidden layer. During the evaluation phase, the model iteratively aggregates information until an optimal state is reached, uncovering hidden relationship patterns that facilitate employee skill development. Empirical results on a benchmark dataset demonstrate significant performance improvements, with precision, recall, and AUC metrics exceeding 80%, highlighting the model's effectiveness in enhancing employee retention.
Inventory Analysis of Packed Red Cells Components Using Monte Carlo Simulation Fasyabib, Fachrul Yazid; Qisthani, Nabila Noor; Kasanah, Yulinda Uswatun
Jurnal INTECH Teknik Industri Universitas Serang Raya Vol. 11 No. 1 (2025): Juni
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/intech.v11i1.10388

Abstract

This study analyzes Packed Red Cells (PRC) inventory management at PMI Banyumas using a Monte Carlo simulation to evaluate different stock management strategies. The initial model shows a significant shortage of blood supply. Two alternative scenarios were simulated to address this issue: adding 55 additional units from external sources and increasing donor participation by 15%. The simulation results demonstrate that these strategies effectively reduce the shortage from 62 units to just 5 units without increasing expired inventory while achieving the lowest total cost of Rp. 9,927,682. These findings highlight that increasing donor participation offers the best performance in balancing supply and demand. This study provides simulation-based strategic recommendations that other PMI branches can replicate to improve bloodstock management, reduce shortages, and maintain optimal service levels.
Aplikasi Teori Antrian dan Simulasi Promodel untuk Mengurangi Panjang Antrean: Studi Kasus di SPBU Radio Dalam Rembulan, Glisina Dwinoor; Septorino, Giovandri
Jurnal INTECH Teknik Industri Universitas Serang Raya Vol. 11 No. 1 (2025): Juni
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/intech.v11i1.10227

Abstract

Penelitian ini dilakukan pada SPBU Radio Dalam yang merupakan SPBU di Jakarta Selatan yang tidak lagi menjual bensin beroktan rendah yaitu premium. Permasalahan yang terjadi adalah antrian yang panjang pada fasilitas pengisian bahan bakar jenis Pertalite yang banyak digunakan masyarakat. Tujuan dari penelitian ini adalah untuk mengetahui banyaknya fasilitas pelayan yang dibutuhkan atau mengoptimalkan sistem antrian yang ada untuk dapat mengurangi antrian panjang. Metode yang digunakan dalam penelitian ini adalah teori antrian dan simulasi ProModel. Penelitian ini menunjukkan bahwa fasilitas pengisian bahan bakar Pertalite masih dalam kondisi yang belum baik atau memiliki antrian yang sangat panjang. Usulan skenario yang dibuat adalah dengan menambah satu fasilitas pengisian bahan bakar, mengurangi waktu proses pengisian bahan bakar pada satu jalur fasilitas pelayanan, dan melakukan perubahan pada salah satu fasilitas pengisian bahan bakar. Berdasarkan hasil uji coba simulasi yang dilakukan, didapatkan usulan skenario terbaik yaitu skenario 3. Pada skenario 3 memiliki rata-rata total exit sebanyak 193 pelanggan dan rata-rata current quantity dalam sistem sebanyak 5 pelanggan dengan rata-rata % utilization sebesar 87%.
Briket Solar Uno Machine: Inovasi Mesin Pencetak Arang Briket Otomatis dengan Integrasi Panel Surya Putra, Al fiillian Sah; Nalhadi , Ahmad; Supriyadi , Supriyadi
Jurnal INTECH Teknik Industri Universitas Serang Raya Vol. 11 No. 1 (2025): Juni
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/intech.v11i1.10301

Abstract

Pengembangan suatu alat pembuatan arang briket merupakan langkah penting dalam meningkatkan efisiensi proses produksi. Namun, ketergantungan pada operator menyebabkan ketidaktepatan dalam efisiensi waktu produksi. Selain itu, koordinasi antara pengisian cetakan, pengepresan, dan pelepasan arang briket sering kali mengalami keterlambatan akibat jeda waktu yang tidak seragam. Perbedaan kecepatan kerja setiap operator juga berpengaruh terhadap jumlah arang briket yang dihasilkan dalam satu siklus produksi, sehingga output produksi tidak selalu konsisten dalam periode waktu tertentu. Tujuan penelitian menciptakan suatu alat bantu yang dapat mempercepat waktu produksi arang briket. Penelitian ini menggunakan metode design thinking. Tahapan penelitian dengan melakukan Empathize, Define, Ideate, Prototype dan terakhir melakukan test. Hasil dari penelitian ini yaitu rancangan prototipe briket solar uno machine. Berdasarkan hasil penelitian, waktu proses produksi arang briket dapat  diakuratkan serta keseragaman produk juga menjadi tolak ukur keberhasilan, dimana pemrograman yang dilakukan terhadap sensor ultrasonic memastikan setiap arang briket dipotong dengan ukuran yang seragam dengan jarak 5 cm dengan bantuan actuator 220v yang akan melakukan tindakan atas perintah sensor sekaligus menghilangkan variasi panjang yang tidak diinginkan. Kapasitas produksi turut mengalami peningkatan berkat motor penggerak yang lebih efisien, memungkinkan alat ini menghasilkan lebih banyak briket dalam 3 detik per 2 arang briket. Harapannya, alat yang di kembangkan ini dapat membantu mengefisienkan waktu produksi dalam pembuatan arang briket.

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