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Optimizing On-Time Delivery Performance through Lean and QCDSM Framework in the Procurement Process of PT Lautan Air Indonesia Angga Widyaswara; Abby Yazid Bustommy
Journal of Innovative and Creativity Vol. 5 No. 2 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i2.3441

Abstract

The purpose of this study is to optimize the performance of on-time delivery in the procurement process at PT Lautan Air Indonesia, where delivery delays reach 23% and significantly disrupt the reliability of the supply chain. On-time delivery is an important indicator of operational performance, reflecting the accuracy of planning, vendor collaboration, and supply chain execution. Persistent delays in the procurement process not only increase operational costs but also pose a risk to customer confidence and production continuity. Materials and methods. This research applies an integrative approach that combines Lean Thinking, Root Cause Analysis (RCA), and QCDSM (Quality, Cost, Delivery, Safety, Morale) framework. Lean Thinking is used to identify wastes such as waiting and delays, RCA to determine the root cause of procurement delays, and QCDSM to evaluate overall improvements. The study was conducted in the Procurement Division (MNT) of PT Lautan Air Indonesia, with data analyzed quantitatively by comparing the percentage of delays before and after corrective actions. Result. The findings reveal that the root causes of delays are vendors not responding to purchase orders, lack of reminder features in SAP systems, and manual purchase order processing. After implementing corrective measures such as SAP-based monitoring, automated reminders, and automated delivery purchase orders, the delay rate decreased significantly from 23% to 9.99%. The QCDSM evaluation showed improvements in all dimensions: higher data quality, reduced idle costs, improved delivery reliability, reduced operational risk, and improved team morale. Conclusion. The integration of Lean, RCA, and QCDSM has proven to be an effective and comprehensive approach in reducing procurement delays. The study contributes to both academic and practical fields by filling research gaps in combining Lean and QCDSM for improved procurement performance, while providing a workable model for companies facing similar challenges in their supply chains
Perancangan Tata Letak Produk Pada Warehouse Finish Good PT TES Dengan Metode ABC Classification Dan Class Based Storage Payung Ginting; Abimanyu Abimanyu; Abby Yazid Bustommy; Mochamad Eko Nugroho; Rakay Ediargo Toyosito
Science and Education Journal (SICEDU) Vol 5 No 2 (2026): Science and Education Journal 2026
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/sicedu.v5i2.807

Abstract

Efisiensi operasional gudang dipengaruhi oleh kesesuaian tingkat pergerakan produk dengan lokasi penyimpanannya. Pada warehouse finish good PT TES, produk dengan frekuensi pergerakan tinggi masih ditempatkan jauh dari loading area sehingga meningkatkan jarak perpindahan material handling dan waktu persiapan pengiriman. Penelitian ini bertujuan merancang tata letak penyimpanan yang lebih efisien untuk mengurangi jarak tempuh dan waktu proses pengiriman. Metode penelitian yang digunakan adalah deskriptif kuantitatif dengan pengumpulan data melalui observasi, wawancara, dokumentasi, dan pengukuran langsung. Produk diklasifikasikan menggunakan metode ABC Classification berdasarkan frekuensi pergerakan menjadi kelas A, B, dan C, kemudian dirancang tata letak menggunakan metode Class Based Storage sesuai karakteristik pergerakannya. Evaluasi dilakukan dengan membandingkan tata letak eksisting dan usulan berdasarkan jarak tempuh material handling serta waktu ritase. Hasil penelitian menunjukkan bahwa produk kelas A (fast moving) dapat ditempatkan lebih dekat dengan area loading. Tata letak usulan menurunkan rata-rata jarak tempuh material handling dari 87,4 meter menjadi 56,2 meter (35,69%) dan waktu ritase dari 1.054 detik menjadi 801 detik (23,98%). Hasil ini menunjukkan bahwa kombinasi metode ABC Classification dan Class Based Storage efektif meningkatkan efisiensi operasional warehouse dan mendukung kelancaran distribusi produk.
Perancangan Pengembangan Sistem Kontrol Berbasis IoT pada Tungku Pemanas Anti Nyamuk Elektrik untuk Efisiensi Energi Sita Kurniaty; Abby Yazid Bustommy
Blend Sains Jurnal Teknik Vol. 5 No. 1 (2026): Edisi Juli
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/blendsains.v5i1.1743

Abstract

Penelitian ini bertujuan merancang sistem kontrol berbasis Internet of Things (IoT) pada tungku pemanas anti nyamuk elektrik untuk meningkatkan efisiensi energi, keamanan, dan kenyamanan pengguna. Perangkat konvensional saat ini masih bersifat manual, rentan overheating serta boros energi. Penelitian menggunakan pendekatan mixed-methods melalui observasi, wawancara, kuesioner, dan metode Quality Function Deployment (QFD) dengan House of Quality (HoQ). Hasil analisis menunjukkan bahwa keamanan produk dan kontrol jarak jauh melalui smartphone menjadi prioritas utama dengan Importance Rating tertinggi. Rekomendasi teknis meliputi penggunaan mikrokontroler ESP32, sensor suhu DHT22, relay proteksi serta aplikasi mobile untuk monitoring real-time serta timer otomatis. Penelitian ini diharapkan dapat menghasilkan prototipe tungku pemanas anti nyamuk yang lebih aman, efisien serta sesuai dengan kebutuhan masyarakat di era smart home.
PERAMALAN PERMINTAAN PRODUK MAKANAN MX GUNA MENINGKATKAN AKURASI PERENCANAAN PRODUKSI DAN PENGENDALIAN PERSEDIAAN DI PT XYZ Lifia Citra Ramadhanti; Rakay Edhiargo Toyosito; Angga Widyas Swara; Abby Yazid Bustommy; Moch Eko Nugroho
Jurnal Multidisipliner Kapalamada Vol. 4 No. 04 (2025): JURNAL MULTIDISIPLINER KAPALAMADA
Publisher : Pusat Studi Ekonomi, Publikasi Ilmiah dan Pengembangan SDM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62668/kapalamada.v4i04.2039

Abstract

Demand forecasting plays a crucial role in production planning and inventory control, particularly in the food industry, which is characterized by fluctuating demand and limited product shelf life. This study aims to analyze and apply demand forecasting methods for MX food products in order to improve the accuracy of production planning and inventory control at PT XYZ. Historical sales data are utilized to generate demand forecasts by comparing several quantitative methods, including moving average, exponential smoothing, and linear regression. The accuracy of each forecasting method is evaluated using forecasting error measurements such as Mean Absolute Deviation (MAD), Mean Squared Error (MSE), and Mean Absolute Percentage Error (MAPE). The results indicate that the method with the lowest forecasting error provides more accurate demand estimates, enabling the company to reduce excess inventory and stock shortages. Improved forecasting accuracy contributes to more efficient production planning, lower inventory costs, and better managerial decision-making at PT XYZ.
Optimasi Biaya Distribusi Air Minum Galon Menggunakan Model Transportasi NWC, Least Cost, dan VAM Ernawati Ernawati; Intan N. C; Aldi A; Abby Yazid Bustommy
Jurnal Sains Dan Teknologi | E-ISSN : 3063-9980 Vol. 3 No. 1 (2026): Juli - September
Publisher : GLOBAL SCIENTS PUBLISHER

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

Abstract

Distribution is an essential component of the supply chain that directly affects a company's operational costs. This study examines the distribution of bottled drinking water from three distributors, namely Agung Berkah (Sukamulya), Mr. Watter (Cikupa), and Herman Depot (Citra Raya), to three destination areas: Balaraja, Telagasari, and Tigaraksa. The current distribution process is based on experience, making it unclear whether transportation costs have been minimized. Therefore, this study aims to determine the most efficient distribution pattern by comparing three transportation model methods: the Northwest Corner (NWC), Least Cost (LC), and Vogel's Approximation Method (VAM). The research employed a quantitative approach using data on transportation capacity, regional demand, and delivery costs per trip calculated based on fuel consumption. The results show that the NWC and LC methods produce the same total distribution cost of IDR 2,250,000 per month, whereas the VAM method yields the lowest total cost of IDR 2,230,000 per month, resulting in a cost saving of IDR 20,000 compared with the other two methods. This cost reduction is achieved because the VAM method considers penalty values (opportunity losses) before allocating shipments, producing an initial solution that is closer to the optimal solution. The findings suggest that Telagasari should be supplied by Mr. Watter, while Balaraja and Tigaraksa should be supplied by Agung Berkah. Herman Depot should serve as a backup distribution center due to its relatively higher transportation cost. Future studies are recommended to apply the Modified Distribution (MODI) method to verify that the obtained solution is truly optimal.