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REGULASI PEMERINTAH TERHADAP IMPLEMENTASI GREEN SUPPLY CHAIN MANAGEMENT PADA PERUSAHAAN DI INDONESIA– LITERATUR REVIEW Gunanto, Bangun; Sulungbudi, Meylianti
Jurnal Manajemen & Bisnis Jayakarta Vol 6 No 02 (2025): Vol. 06 No. 02 Januari 2025
Publisher : Sekolah Tinggi Ilmu Ekonomi Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53825/jmbjayakarta.v6i02.307

Abstract

Dalam beberapa dekade terakhir, isu lingkungan di Indonesia telah menjadi perhatian utama di tingkat lokal maupun global. Dari deforestasi hingga polusi limbah plastik, tantangan lingkungan di Indonesia membutuhkan solusi holistik yang melibatkan semua sektor ekonomi. Salah satu pendekatan strategis yang semakin relevan adalah penerapan Green Supply Chain Management (GSCM), yaitu integrasi prinsip-prinsip keberlanjutan dalam seluruh rantai pasok. Perusahaan dituntut harus memenuhi keinginan masyarakat yang menginginkan perusahaan memasukkan konsep kepedulian terhadap lingkungan didalam proses industri mereka. Hal tersebut terjadi dikarenakan perusahaan mengabaikan pengelolaan limbah produksi mereka, seperti sedikitnya penampungan limbah yang disediakan dan tidak dilakukannya pengelolaan limbah terlebih dahulu sebelum dibuang di penampungan akhir. Dari hasil pembahasan tersebut, maka dapat di simpulkan bahwa di Jakarta masih banyak perusahaan – perusahaan yang belum menerapkan Green Supply Chain Management. Kementerian Perindustrian terus mendorong industri di Indonesia agar selalu memperhatikan aspek ramah lingkungan. Hal ini guna menopang daya saing sektornya hingga produk yang dihasilkan sehingga mampu kompetitif di kancah domestik dan global.
Identifying Project Delays in the Engineering Division of a Manufacturing Company: Using the Fishbone Diagram and Root Cause Approach Setiawan, Enggal; Sulungbudi, Meylianti; Fitriani, Katlea
Jurnal Logistik Indonesia Vol. 8 No. 2: Oktober 2024
Publisher : Institut Ilmu Sosial dan Manajemen Stiami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31334/logistik.v8i2.4897

Abstract

Project delays are a common challenge in project management, especially in the engineering sector of the manufacturing industry. This study aims to identify the root causes of delays in production machinery procurement projects within the Engineering Division at PT XYZ, focusing on internal processes that affect project completion. The study uses Fishbone Diagram and Root Cause Analysis (RCA), which are effective tools to systematically uncover complex causal factors. The research is descriptive qualitative in nature, based on secondary data from 27 Project Status Reports (PSRs) from February 2022 to December 2023, categorized into six factors: Human, Machine, Method, Material, Measurement, and Environment. Fishbone analysis and 5 Whys were used to determine dominant and root causes. Finding show that delays are primarily caused by Method (25.4%), Machine (22.8%), and Human (21.1%) factors. Root causes include the lack of standardized design processes, limited machine precision for new design requirements, and delays in management decision-making due to incomplete technical information and multitasking among designers. To mitigate delays in future projects, PT XYZ is advised to establish a cross-functional planning team from the early stages, develop consistent SOPs for design, approval, and validation, and implement better human resource allocation through integrated project scheduling. These steps are expected to enhance project efficiency and accelerate technical decision-making processes.
Management of Ex-Project Spare Parts Using the ABC Analysis Method in the Project Engineering Division of PT. Dj Kiswanto, Djunedi Dwi; Sulungbudi, Meylianti; Fitriani, Katlea
Jurnal Logistik Indonesia Vol. 9 No. 2: Oktober 2025
Publisher : Institut Ilmu Sosial dan Manajemen Stiami

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

Abstract

This study discusses the management of leftover project components or ex-project spare parts in the Project Engineering division of PT. Dj. One of the causes of excess inventory is the Minimum Order Quantity (MOQ), which can potentially lead to inefficiencies if not managed systematically. One of the approaches used to improve inventory management is classification using the ABC analysis method. This method was chosen because it can group items based on their annual consumption value, making it easier for the company to prioritize high-value items that significantly impact operational costs. The objective of this study is to enhance warehouse management effectiveness, reduce waste in future projects, and optimize storage space utilization. In this study, data from 827 types of ex-project electrical spare parts were collected and analyzed based on their annual consumption values, then classified into three categories: A, B, and C. The classification results show that Category A consists of high-value items but in small quantities, thus requiring strict control. On the other hand, Category C consists of many low-value items that require minimal attention. The implementation of ABC analysis has proven effective in identifying priority items, improving inventory management efficiency, and supporting project readiness in the future.