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EFISIENSI BIAYA MATERIAL HANDLING DI GUDANG PT.XYZ DENGAN METODE CLASS-BASED STORAGE DAN ABC Riyanto, Naufal Hadziky; Komaro, Mumu; Dwiyanti, Vina
Journal of Industrial Engineering and Operation Management (JIEOM) Vol 7, No 2 (2024)
Publisher : Universitas Islam Kalimantan Muhammad Arsyad Al Banjari Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31602/jieom.v7i2.16285

Abstract

Penelitian ini bertujuan merancang ulang tata letak gudang untuk meningkatkan efisiensi penyimpanan dan pengambilan barang. Permasalahan utama yang dihadapi adalah penempatan barang yang acak, tidak sesuai dengan frekuensi pergerakan, menyebabkan kerugian seperti proses kerusakan dan kehilangan barang. Penelitian ini menggunakan metode Class Based Storage dan Analisis ABC untuk mengklasifikasikan barang berdasarkan frekuensi pergerakan. Data dikumpulkan melalui observasi dan pengukuran layout awal, kemudian dianalisis dan disimulasikan menggunakan FlexSim 2024. Hasilnya, barang dikategorikan menjadi tiga kelas: A (fast moving), B (medium moving), dan C (slow moving), dengan tata letak baru yang diusulkan untuk mengurangi jarak tempuh dan ongkos material handling. Simulasi menunjukkan waktu pengambilan barang menjadi rata-rata 75,93 detik dan total ongkos material handling sebesar $375, serta jarak tempuh 4.118,79 meter. Penerapan tata letak berdasarkan metode ABC dan Class Based Storage berhasil mengoptimalkan kinerja gudang, mengurangi biaya material handling, serta meningkatkan efisiensi operasional di PT.XYZ.Kata Kunci:  Analisis ABC, Class Based Storage, Gudang
ANALISIS PENDEKATAN KONSEP SUSTAINABILITY DALAM JOB SHOP SCHEDULING SISTEM MANUFAKTUR Febrianti, Risti; Darmawan, Bambang; Dwiyanti, Vina
Growth Vol 22 No 2 (2024): NOVEMBER
Publisher : Relawan Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36841/growth-journal.v22i2.5548

Abstract

Competition among manufacturing companies drives industrial growth to adopt a competitive pattern. One way for companies to compete and avoid falling behind is by optimizing production activities through scheduling each workstation (job shop scheduling). This scientific article employs a literature review method with an evidence-based approach to identify relevant case studies. The research findings indicate that the job shop scheduling model has a significant positive impact on companies, such as increasing production efficiency and enhancing resource performance, ultimately minimizing costs and production time. However, it cannot be overlooked that this model also has negative effects, such as increased waste, pollution, and depletion of non-renewable resources. Therefore, the manufacturing industry must implement the concept of sustainability, focusing on three main pillars: economic, environmental, and social aspects. This approach aims to maintain productivity, enhance the quality of production performance, and minimize risks associated with optimizing job shop scheduling, ensuring maximum profitability for the company.
ANALISIS KESENJANGAN FITUR WAREHOUSE MANAGEMENT SYSTEM (WMS) PADA LAYANAN 3PL TERHADAP KEBUTUHAN INDUSTRI: PENDEKATAN SYSTEMATIC LITERATURE REVIEW Zahroh, Fatimatuz; Darmawan, Bambang; Dwiyanti, Vina
Journal Industrial Engineering and Management (JUST-ME) Vol. 5 No. 02 (2024): Journal Industrial Engineering and Management (JUST-ME)
Publisher : Program Studi Teknik Industri Fakultas Teknik Universitas Islam Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47398/justme.v5i02.78

Abstract

Penerapan teknologi dalam Warehouse Management System (WMS) semakin penting seiring meningkatnya kompleksitas rantai pasok di era revolusi industri 4.0. penelitian ini bertujuan untuk menganalisis kesenjangan antara fitur WMS yang ditawarkan penyedia third-party logistics (3PL) dengan kebutuhan spesifik berbagai sektor industri. Pendekatan yang digunakan adalah Systematic Literature Review (SLR) dengan mengumpulkan artikel dari jurnal ilmiah yang relevan dalam kurun waktu 10 tahun terakhir. Analisis dilakukan pada fitur WMS yang ditawarkan oleh 3PL, kebutuhan sektor industri terhadap WMS, serta identifikasi kesenjangan antara keduanya. Data dianalisis menggunakan metode sintesis tematik untuk memahami hubungan antara fitur yang tersedia dengan kebutuhan sektor tertentu. Hasil penelitian menunjukkan bahwa meskipun fitur IoT dan RFID banyak diterapkan, teknologi analitik prediktif dan keberlanjutan logistik masih kurang diimplementasikan. Kesenjangan ini mempengaruhi kemampuan 3PL dalam memenuhi kebutuhan sektor industri yang dinamis, seperti e-commerce dan manufaktur. Penelitian ini menyimpulkan bahwa inovasi lebih lanjut dalam fitur WMS diperlukan untuk meningkatkan efisiensi operasional dan keberlanjutan layanan logistik, khususnya penyedia 3PL.
Analisis Penerapan Big Data dalam Supply Chain Management: Systematic Literature Review Syifa Alika Virgineta; Vina Dwiyanti; Aam Hamdani
Sci-tech Journal Vol. 4 No. 2 (2025): Sci-Tech Journal
Publisher : MES Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56709/stj.v4i2.732

Abstract

Implementation of big data in supply chain management, encompassing a wide range of critical sectors such as demand forecast, inventory management, logistics, and supplier relations. The advantages are numerous, including greater demand forecasting accuracy, increased visibility into the entire supply chain network, shorter lead times, and better risk management. Despite these benefits, problems emerge in the form of data security concerns, the need for specialized skills, and the complexity of integrating disparate systems. Overcoming these barriers is critical for companies that want to fully utilize big data, resulting in a more flexible, resilient, and customer-centric approach to supply chain operations.
Improving Supply Chain Management Efficiency in Fashion: AHP-Based Vendor Selection Alhamda, Nur Aini; Darmawan, Bambang; Dwiyanti, Vina
Journal Knowledge Industrial Engineering (JKIE) Vol 11 No 2 (2024): JKIE (Journal Knowledge Industrial Engineering)
Publisher : Department of Industrial Engineering - Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/jkie.v11i2.5521

Abstract

In an increasingly competitive industrial world, selecting the right vendor is crucial for maintaining the quality and continuity of a company's operations. This study was conducted at PT Bersama Zatta Jaya Tbk, a company engaged in the Muslim fashion industry, to evaluate and determine the best vendor for the "bergo" product category. The research employed mixed methods, combining both qualitative and quantitative approaches, with primary data obtained through interviews and questionnaires. The data analysis was performed using the AHP (Analytical Hierarchy Process) method. The results of the study indicate that quality is the priority criterion with a weight of 0.43681, making it the main factor in vendor selection. Vendor V1 was selected as the best with a weight of 0.30387, followed by V4, V2, and V3. This study emphasizes the importance of quality in vendor evaluation and provides recommendations for PT Bersama Zatta Jaya Tbk to focus on quality as the primary factor in the vendor selection process.
RANCANG BANGUN SISTEM INFORMASI STOCK OPNAME BERBASIS WEB DENGAN METODE WATERFALL PADA UMKM Fauzan Firdaus; Mumu Komaro; Vina Dwiyanti
Jurnal Teknologi Informasi dan Komputer Vol. 11 No. 1 (2025): JUTIK : Jurnal Teknologi Informasi dan Komputer, Edisi April 2025
Publisher : LPPM Universitas Dhyana Pura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36002/jutik.v11i1.3757

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play a vital role in Indonesia’s economy, yet they continue to face challenges in inventory management. One of the main challenges is the inaccuracy of stock recording due to the use of manual stock-taking methods, which are time-consuming, prone to errors, and result in inconsistent data. This condition affects business operations, such as overstocking or stockouts, leading to inefficient management and potential financial losses. This study aims to design and develop a Web-Based Stock Opname Information System to improve the accuracy and efficiency of inventory recording in MSMEs. The system development adopts the waterfall method, which consists of several stages: requirements analysis, system design, implementation, testing, and maintenance. Each stage plays a crucial role in ensuring the system aligns with user needs. The web-based system enables real-time stock monitoring, minimizes recording errors, and enhances operational efficiency. Through the implementation of this system, MSMEs are expected to optimize inventory management, reduce human error, and improve competitiveness in facing increasingly complex business challenges.
KEPUASAN PELANGGAN TERHADAP PT XYZ DENGAN MENGGUNAKAN METODE SERVQUAL ANALYSIS Sari, Putri Anjar; Sasmita, Asep Hadian; Dwiyanti, Vina
AKSELERASI: Jurnal Ilmiah Nasional Vol 7 No 3 (2025): AKSELERASI: JURNAL ILMIAH NASIONAL
Publisher : GoAcademica Research dan Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54783/jin.v7i3.1476

Abstract

Penelitian ini bertujuan mengukur dan menjelaskan kesenjangan kualitas layanan PT XYZ di Mekarwangi, Bandung menggunakan SERVQUAL, sembari memanfaatkan ulasan pelanggan sebagai bukti pendukung. Desain yang digunakan bersifat kuantitatif deskriptif verifikatif. Hasil penelitian menunjukkan GAP negatif terbesar pada Reliability, diikuti Assurance dan Responsiveness, sedangkan Tangibles dan Empathy relatif kecil. Pola ini konsisten dengan sorotan pada keterlambatan pengantaran, akurasi pelacakan, dan kepastian prosedur klaim. Implikasi manajerial meliputi rekalkibrasi SLA berbasis percentil lintasan, penguatan disiplin pemindaian, integrasi status pelacakan antarkanal, penyederhanaan alur klaim beserta naskah komunikasi, serta penataan kapasitas dan triase pada jam puncak, sembari mempertahankan standar layanan mikro di gerai. Kontribusi riset terletak pada kerangka pengukuran yang dapat direplikasi untuk jaringan kurir perkotaan dan agenda pengujian lanjutan lintas cabang menggunakan IPA/CSI.
Perancangan Aplikasi Peramalan Permintaan Berbasis VBA Macro Excel dalam Penerapan di Industri Fashion Firdaus, Fauzan; Komaro, Mumu; Dwiyanti, Vina
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 1 (2026): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/x7gczg19

Abstract

In the highly dynamic fashion industry, demand forecasting is crucial for predicting consumer needs and improving production efficiency. However, demand uncertainty can lead to financial losses and damage market reputation. Therefore, this research aims to develop a demand forecasting system for midriff top products at CV XYZ using the Double Exponential Smoothing (DES) method and VBA Macro Excel. The results show that the DES method can be used to predict midriff top product demand with high accuracy, achieving a Mean Absolute Percentage Error (MAPE) of 12.93%, which is below 20%. The forecasting system developed using VBA Macro Excel can assist the company in making more accurate production decisions and improving production efficiency. Additionally, this forecasting system can help identify trends and demand patterns for midriff top products, thus supporting the company in developing more effective marketing strategies. Keywords: Demand Forecasting, Fashion Industry, VBA Macro Excel, Waterfall
PERAN PENGENDALIAN VISUAL BERBASIS 5S DALAM MENGURANGI PEMBOROSAN WAKTU PADA OPERASI GUDANG Muhammad Aditya; Enda Permana; Vina Dwiyanti
Inaque : Journal of Industrial and Quality Engineering Vol 14 No 1 (2026): Inaque April 2026
Publisher : Teknik Industri Unikom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/iqe.v14i1.19249

Abstract

Warehouse operations play a critical role in logistics systems but are often a major source of waste, particularly Pemborosan waktu caused by searching activities and unclear workflows. From a lean logistics perspective, eliminating non-value-added activities is essential to improve operational efficiency. Pengendalian Visual, commonly implemented through the 5S (seiri, seiton, seiso, seiketsu, dan shitsuke) method, is widely recognized as an effective approach to address these issues. This article aims to evaluate the contribution of 5S-based Pengendalian Visual to the reduction of Pemborosan waktu in warehouse operations, with a particular focus on searching time, through the analysis of empirical findings from previous studies. A narrative literature review was conducted by analyzing relevant studies in the fields of lean logistics and warehouse management. The findings indicate that Pengendalian Visual enhances visual clarity, accelerates picking processes, and reduces searching time. This review also identifies research gaps related to the standardization of Pemborosan waktu measurement and the shitsukeability of 5S implementation.