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All Journal Jurnal Aplikasi Pelayaran dan Kepelabuhanan Jurnal Ekonomi, Teknologi dan Bisnis JPMP Riwayat: Educational Journal of History and Humanities
Akhmad, Ekka Pujo Ariesanto
Program Studi Manajemen Pelabuhan Dan Logistik Maritim, Fakultas Vokasi Pelayaran, Universitas Hang Tuah
Humanities Astronomy Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Medicine & Pharmacology Social Sciences Transportation

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Clustering Captured Fish Exports with Fuzzy C-Means Akhmad, Ekka Pujo Ariesanto; Priyono, Budi
Riwayat: Educational Journal of History and Humanities Vol 8, No 1 (2025): Januari, Special Issue on "Educational design research for human beings learning
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jr.v8i1.43962

Abstract

By export destination country group, data on Indonesia's fresh/chilled captured fish exports are collated and tabulated. Nevertheless, export amounts have not been separated in the table of fresh/chilled fish exports. The clustering method will be used to tackle the fresh/chilled fish export data clustering problem. This study is to investigate the use of partition-based clustering, namely Fuzzy C-Means (FCM), to assess export data of caught fish from the primary destination nations using machine learning. The Buletin Statistik Perdagangan Luar Negeri Ekspor Menurut Kelompok Komoditi dan Negara, October 2023 is where the research's data came from. The research variables in this study, which comprise net weight of products (kg) and FOB (free on board) value, are based on data collected between 2022 and 2023. Following a cluster analysis, two clusters are produced: one for high export levels and another for medium or low export levels.
PENYULUHAN TENTANG TEKNIK PEMASARAN HASIL TANGKAPAN NELAYAN BAGI MASYARAKAT NELAYAN KEPUTIH TIMUR GANG POMPA KECAMATAN SUKOLILO SURABAYA: EDUCATION ON MARKETING TECHNIQUES FOR FISHERMEN'S CATCHES FOR THE FISHING COMMUNITY OF KEPUTIH TIMUR GANG POMPA, SUKOLILO DISTRICT, SURABAYA Akhmad, Ekka Pujo Ariesanto; Setiono, Beni Agus; Purwanto, FX Adi; Purwiyanto, Didik; Hidayat, Sapit; Prawirosastro, Carlos L.
Jurnal Pengabdian Masyarakat Pesisir VOLUME 4 NOMOR 2
Publisher : Universitas Hang Tuah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30649/jpmp.v4i2.153

Abstract

The extension aims to increase the fishing community's understanding of effective marketing techniques, so that the catch can be better and profitably marketed. Thus, it is hoped that fishing communities can optimize their catch and increase economic well-being through appropriate marketing strategies. As such, this extension is expected to provide more in-depth knowledge on how to market catches efficiently, as well as build a strong marketing network between fishermen and consumers.In addition, this extension will also address the importance of utilizing information technology in marketing, such as the use of social media and e-commerce platforms, to reach a wider market. Furthermore, workshops will be organized to train fishermen on creating appealing online profiles and engaging content that highlights the quality and sustainability of their catches, fostering a direct connection with consumers
RFID-Based Warehouse Management System for Improving Inventory Accuracy and Operational Efficiency Akhmad, Ekka Pujo Ariesanto; Prawirosastro, Carlos Lazaro
JURNAL APLIKASI PELAYARAN DAN KEPELABUHANAN Vol 16 No 2 (2026): bulan Maret
Publisher : Universitas Hang Tuah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30649/japk.v16i2.214

Abstract

Warehouse operations are increasingly required to deliver high levels of accuracy, speed, and real-time visibility in response to growing supply chain complexity and customer expectations. However, conventional barcode-based warehouse management systems remain constrained by line-of-sight scanning, sequential data capture, and heavy reliance on manual intervention, which often lead to inventory inaccuracies and operational inefficiencies. This study investigates the implementation of Radio Frequency Identification (RFID) technology integrated with a Warehouse Management System (WMS) to enhance inventory accuracy and operational performance in warehouse environments. Using a case-based experimental research design, the study compares warehouse performance before and after RFID implementation across key processes, including receiving, storage, picking, and shipping. Operational data were collected through time studies, inventory audits, and error tracking under comparable workload conditions. The results demonstrate that RFID integration significantly improves overall inventory accuracy, reduces processing time by more than half, and decreases operational error rates by approximately eighty percent compared to a conventional barcode-based system. These improvements are primarily driven by automatic, non-line-of-sight, and simultaneous data capture enabled by RFID, which minimizes human intervention and ensures real-time synchronization between physical goods movement and digital inventory records. This research contributes empirical system-level evidence on the performance impact of RFID-enabled warehousing and proposes an integrated RFID–WMS implementation framework that supports end-to-end warehouse operations. The findings provide both theoretical insights and practical guidance for organizations seeking to adopt RFID as a foundation for smart warehouse transformation.
Co-Authors Budi Priyono Dharmawan, Kukuh Aditya FX Adi Purwanto Hidayat, Sapit HUSNA, IMROATUL Latue, Shilsilia Lazaro Prawirosastro, Carlos Maulana, Ajhar Mursidi Nanda, Mochammad Prawirosastro, Carlos L. Prawirosastro, Carlos Lazaro Purwiyanto, Didik Rumlus, Wisnu Sepfani, Ade Putri Setiono, Beni Agus Sudirman Sudirman Toto Dwi Jaya Saputra Vernandy, Anggy Ryo Wahyu Mas Izudin, Ahmad Widhi Yanti, Dyah Agustin