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All Journal Proceeding Seminar Nasional Riset Terapan Administrasi Bisnis dan Mice (SNRT)
Yoshua Ardy Putra
Politeknik Negeri Jakarta

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Pendekatan Lean Distribution Dalam Mereduksi Waste Dominan pada Proses Pengiriman Barang (Study Case PT XYZ) Fairuz Su’da Oktavia Kusdarwanto; Arizal Putra Pratama; Wahyudi Utomo; Yoshua Ardy Putra; Haris Satria Putra
Seminar Nasional Riset Terapan Vol. 14 No. 01 (2025): SNRT XIV TAHUN 2025
Publisher : Administrasi Niaga Politeknik Negeri Jakarta

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Abstract

This research aims to identify the dominant waste and its root causes at PT XYZ. The study uses a Lean Distribution approach by combining quantitative and qualitative methods to analyze and provide improvement recommendations in the distribution/shipping process at PT XYZ. To identify the waste occurring in the goods shipping process, the researcher used tools such as current state mapping, value stream analysis tools (VALSAT), fishbone diagram, and finally future state mapping. The results of this study indicate the existence of a dominant waste, namely waiting in the administrative preparation process of shipping and the preparation process of the fleet, as well as waste transportation in the goods shipping process. The root cause of this waiting waste is the slow delegation of backup approvers, lack of supervision from top management on busy approvers' work conditions or Or there is a meeting, there is no KPI for the approval time of delivery orders and a lack of routine system maintenance, the driver is currently making deliveries or transporting other passengers, limitations in the number of internal fleets, and maintenance of the fleet. Transportation waste in activities includes the addition of delivery routes caused by users requesting urgent deliveries, there are no regulations to limit goods after the loading process, and the limited fleet. Recommendations for improvement can reduce the processing time from 34,513 seconds to 25,146 seconds.
Pemetaan Persebaran UMKM Kota Depok Menggunakan Clustering Berbasis Data Spasial Haris Satria Putra; Yoshua Ardy Putra; Irfan Rusydi Triyanto
Seminar Nasional Riset Terapan Vol. 15 No. 01 (2026): SNRT XV TAHUN 2026
Publisher : Administrasi Niaga Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/snrtbisnis.v15i01.7699

Abstract

This study aims to identify the distribution patterns of Micro, Small, and Medium Enterprises (MSMEs) in Depok City using a spatial data-based clustering approach. The research problem is motivated by the uneven distribution of MSMEs across regions, which may affect the effectiveness of development and support program planning. This study employed a quantitative approach using data mining techniques through the Cross Industry Standard Process for Data Mining (CRISP-DM) methodology. The dataset consisted of secondary data from 50 MSMEs distributed across 11 districts in Depok City, with geographic coordinates (latitude and longitude) used as the primary variables. The clustering process was conducted using the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm with the best parameters of ε = 0.60 and min_samples = 4. The results showed that the DBSCAN algorithm successfully generated four clusters and identified four data points as noise. Evaluation results using the Silhouette Score and Davies-Bouldin Index yielded values of 0.3171 and 0.6766, respectively, indicating a reasonably good clustering structure with relatively clear separation among clusters. Visualization through scatter plots and interactive maps revealed concentrations of MSME distribution in several areas of Depok City. The findings can be utilized as supporting information for decision-making and regional-based MSME development planning.
Co-Authors Arizal Putra Pratama Fairuz Su’da Oktavia Kusdarwanto Haris Satria Putra Irfan Rusydi Triyanto Wahyudi Utomo