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All Journal Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Community Engagement and Emergence Journal (CEEJ) Abdimasku : Jurnal Pengabdian Masyarakat International Journal of Business and Management Technology in Society (IJBMTS)
Meilanitasari, Prita
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Humanities Computer Science & IT Economics, Econometrics & Finance Education Environmental Science Health Professions Industrial & Manufacturing Engineering Social Sciences

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Peningkatan Kesadaran Digital Pemangku Desa Gresik untuk Efisiensi Kerja dan Pendataan Masyarakat Meilanitasari, Prita; Putri, Maulin Masyito; Arumjani, Dwi Sekar; Irnianto, Aldy Nuary; Imaduddin, Ibrahim Ramadhan
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 8, No 1 (2025): JANUARI 2025
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/ja.v8i1.2796

Abstract

Perkembangan teknologi dan digitalisasi di Indonesia telah memberikan dampak signifikan pada berbagai aspek social kehidupan, termasuk pemerintahan desa. Penelitian ini bertujuan untuk meningkatkan kesadaran digital di kalangan pemangku desa di Kabupaten Gresik melalui program Kuliah Kerja Nyata (KKN). Focus utama penelitian ini adalah meningkatkan efisiensi kerja dan pendataan masyarakat desa melalui pemanfaatan teknologi digital. Dalam penelitian ini, tim KKN melakukan serangkaian pelatihan intensif, seperti penggunaan Microsoft Word, Excel, dan Google Suites untuk perangkat desa di Desa Randupadangan, Menganti, Gresik. Pelatihan ini bertujuan untuk meningkatkan kemampuan digital perangkat desa yang sebelumnya masih sangat terbatas. Hasilnya menunjukkan peningkatan signifikan dalam kemampuan digital perangkat desa, peningkatan ini sangat berkontribusi pada efisiensi kerja perangkat desa, juga mempermudah perangkat desa dalam memberikan layanan public yang lebih cepat dan akurat. Dengan adanya infrastruktur digital yang lebih baik dan peningkatan keterampilan digital, diharapkan desa dapat memberikan pelayanan publik yang lebih efektif dan efisien.
Optimizing Ship Berthing Allocation Strategies at a Dry Bulk Fertilizer Terminal: A Simulation Approach Considering Material Handling Equipment Availability Putri, Maulin Masyito; Meilanitasari, Prita; Prasodjo, Nindya Putri; Arumjani, Dwi Sekar
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 27 No. 1 (2025): June 2025
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.27.1.77-92

Abstract

Long loading and unloading times at ports lead to demurrage costs, which occur when these activities exceed the agreed time. Demurrage is a penalty paid by shippers or charters to ship owners for delays. These delays can be caused by factors such as a lack of available docks or unprepared material handling equipment. This study examines dry bulk ports, focusing on four types of material handling, each with distinct characteristics and functions: the Continuous Ship Unloader (CSU) and Kangaroo Crane (KC) for unloading, and the Vessel Crane Flat Truck (VCFT), New Ship Unloader (NSL), and Vessel Crane with Dump Truck (VCDT) for loading. The CSU is the primary equipment for unloading, while the NSL is prioritized for loading bulk cargo. The variety of equipment and cargo adds complexity, best addressed through a discrete simulation approach. The study aims to identify the optimal berth allocation scenario, reducing loading and unloading times, waiting times, and demurrage costs using a discrete event simulation approach. Improvement scenario 2, which assigns berths based on the material being handled, resulted in a 33.49% increase in unloading revenue, a 1.81% increase in loading revenue, and a 13.54% reduction in demurrage costs.
Courier Assignment and Routing Problem Algorithm in Online Food Delivery System with Multi-Customer Delivery Patterns Meilanitasari, Prita; Putri, Maulin Masyito; Agustin, Ilda Auly Sita; Ibrahim, Muhammad Faisal; Arumjani, Dwi Sekar
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 27 No. 1 (2025): June 2025
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.27.1.93-104

Abstract

Online food delivery (OFD) businesses face several challenges, including the need for fast deliveries, a high volume of orders, and effective route planning to optimize service efficiency. This study employs the Meal Delivery Routing Problem (MDRP) algorithm to address issues related to courier assignment and capacity management in food delivery operations. The research focuses on scenarios involving a single courier, a single merchant, and multiple demand nodes. Two main methods were used in the study: (1) The Maximum Covering Model (MCM) algorithm, which identifies the coverage area of the courier, and (2) The Flexible Meal Delivery Assignment and Routing Problem (FMD-ARP) algorithm, which tackles routing challenges. Various scenarios were tested to validate the model based on the chosen routes. The aim of this research is to develop a new model and algorithm that reduces delivery time and increases the number of orders that couriers can handle. After processing and analyzing the numerical data, the study identified the most effective scenario that led to improved delivery times and benefits for couriers, enabling them to manage more orders and achieve faster delivery compared to existing algorithms.
Strategi Pengembangan Potensi Desa Berbasis Analisis SWOT di Desa Randupadangan Kabupaten Gresik Meilanitasari, Prita; Putri, Maulin Masyito; Shihabuddin, Firsya; Dely, Denok Safara Sekar; Pradika, Rifan Dewa
Community Engagement and Emergence Journal (CEEJ) Vol. 6 No. 2 (2025): Community Engagement & Emergence Journal (CEEJ)
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/ceej.v6i2.6760

Abstract

Kabupaten Gresik merupakan salah satu kabupaten di Jawa Timur yang memiliki potensi desa yang dapat dikembangkan di berbagai bidang yang didukung oleh sumber daya manusia yang memadai. Hal ini bisa dilihat berdasar capaian MDGs tahun 2023 mencapai 78,44, meningkat sebesar 0,82 poin (1,05%) dibanding dengan tahun 2022. Sementara berdasarkan data yang diterbitkan oleh BPS Kabupaten Gresik, tingkat kemiskinan Kabupaten Gresik pada tahun 2023 mencapai 149,75 ribu orang, meningkat 0,11 ribu orang pada 2022. Salah satu desa di Kabupaten Gresik yang memiliki beberapa potensi yang dapat dikembangkan berbagai sektor adalah Desa Randu Padangan Kecamatan Menganti. Penelitian ini bertujuan untuk potensi yang dapat dikembangkan oleh desa di Kabupaten Gresik melalui program Pengabdian Masyarakat. Fokus penelitian ini, tim melakukan analisis potensi desa dengan menggunakan SWOT pada beberapa sektor antara lain pertanian, budaya, sarana, ekonomi dan sumber daya alam.
Optimizing Product Delivery through Two-Dimensional Time Warping Demand Allocation under Uncertainty Meilanitasari, Prita; Vanany, Iwan; Ma'ady, Mochamad Nizar Palefi; Isrofi, Nisa
International Journal of Business and Management Technology in Society Vol. 2 No. 2 (2024)
Publisher : Direktorat Riset dan Pengabdian Kepada Masyarakat, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j30254256.v2i2.1341

Abstract

Purpose – This study aims to optimize delivery operations by implementing a flexible clustering method to handle demand uncertainty and improve logistics efficiency. Methodology – This study develops a clustering algorithm using a two-dimensional time-warping approach to group demand points based on spatial proximity and demand characteristics. The methodology consists of three stages: 1) processing data on point distances, 2) clustering using two-dimensional time warping, and 3) validating through silhouette analysis. Findings – This study resulted in optimal and efficient demand clustering through location clustering with a Silhouette coefficient value of 0.7 or an accuracy and feasibility level of 70%. The algorithm also shows improved computational efficiency compared to traditional approaches, making it suitable for practical applications in uncertain and dynamic environments. Practical implications – This study holds significant importance for businesses in the logistics and retail sectors. Through demand clustering, businesses can effectively group customer demands and utilize this information to optimize inventory management and delivery solutions.
Co-Authors Agustin, Ilda Auly Sita Arumjani, Dwi Sekar Dely, Denok Safara Sekar Imaduddin, Ibrahim Ramadhan Irnianto, Aldy Nuary Iwan Vanany Maulin Masyito Putri Mochamad Nizar Palefi Ma’ady Muhammad Faisal Ibrahim, Muhammad Faisal Nisa Isrofi Pradika, Rifan Dewa Prasodjo, Nindya Putri Shihabuddin, Firsya