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All Journal Jurnal PkM MIFTEK Jurnal Kalibrasi
Mustika, Lesti
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Humanities Computer Science & IT Economics, Econometrics & Finance Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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Pemberdayaan Masyarakat Dalam Mempersiapkan Desa Wisata Air di Desa Wanasari Rahayu, Sri; Firmansyah, Refi; Irpan, Nurul; Haq, Shidqi Amirul; Mutaqin, Ridwan; Sanusi, Ahmad; Koswara, Reyhan Rizqia; Noerkemalasari, Dylla; Laeli, Sasya Riwani Al; Husna, Rida Sofiatu; Rahmana, Wiguna; Aripin, Adi Muhammad; Ahkop, Irsal Adil; Gunawan, Latif; Marsalina, Sali; Aprilianti, Mega; Mustika, Lesti; Raihandika, Hisyam; Farwati, Aida; Riswandi, Muhamad; Prilangga, Regi
Jurnal PkM MIFTEK Vol 3 No 2 (2022): Jurnal PkM MIFTEK
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/miftek/v.3-2.1311

Abstract

One of the goals of community empowerment is to support regional development through improving the quality of human resources and the wise and responsible use of natural resources towards competitive advantage in local, regional and global competition. Community empowerment is carried out through the Garut Institute of Technology Real Work Lecture program in an effort to increase and foster a sense of student empathy for the conditions of society and its environment, in order to be able to solve problems experienced by the community. With the plan to have a Water Tourism Village in Wanasari Village, Group 3 KKN students participate by carrying out various work programs such as making signposts for directions and naming several location points on Google maps as a way to make it easier to find the location of a Water Tourism Village in the future. Implementation of each work program in preparing for the Water Tourism Village, students always involve the community in order to increase the participation, knowledge and skills of the community. The implementation of the activities of each work program is divided into four method stages. The first stage is location observation and problem identification, the second stage is problem solving formulation, the third stage is implementation of activities in the field, the fourth stage is evaluation and monitoring for corrections and improvements to program sustainability. Activities are carried out after students hold hearings with village officials and community leaders, so that the priority scale of activities is determined based on the conditions and potential that exist in the Wanasari Village community. As many as 41% of the total 3,902 residents of Wanasari Village gave a good response to the Group 3 KKN Student work program.
Penentuan Rute Pengiriman pada Distribusi Produk dengan Pendekatan Capacitated Vehicle Routing Problem (CVRP) Menggunakan Algoritma Genetika : Studi Kasus pada UMKM Cuankie HD Barokah Garut Cahyadi, Ujang; Taptajani, Dedi Sa'dudin; Mustika, Lesti
Jurnal Kalibrasi Vol 23 No 2 (2025): Jurnal Kalibrasi
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/kalibrasi/v.23-2.1978

Abstract

This study aims to optimize the distribution routes at the MSME Cuankie HD Barokah Garut to improve operational efficiency. The MSME faces challenges in distribution management due to limited resources and suboptimal routing. To address this, the study applies the Capacitated Vehicle Routing Problem (CVRP) approach based on the Genetic Algorithm (GA). CVRP is used to consider vehicle capacity in delivery optimization, while GA is employed to determine optimal routes that minimize distance, time, and operational costs.Data were collected through observations and distance measurements using Google Maps. Before optimization, the total distribution distance reached 101.4 km with a travel time of 325 minutes and operational costs of Rp. 518,200. After optimization, the distribution routes became more efficient, with a total distance of 82.3 km, travel time of 277 minutes, and reduced operational costs of Rp. 471,300.The results show that the Genetic Algorithm significantly improved distribution efficiency by reducing travel distance, travel time, and operational costs. The implementation of GA proved effective in optimizing distribution routes for MSMEs with limited resources.
Co-Authors Ahkop, Irsal Adil Ahmad Sanusi Aprilianti, Mega Aripin, Adi Muhammad Cahyadi, Ujang Farwati, Aida Firmansyah, Refi Gunawan, Latif Haq, Shidqi Amirul Husna, Rida Sofiatu Irpan, Nurul Koswara, Reyhan Rizqia Laeli, Sasya Riwani Al Marsalina, Sali Mutaqin, Ridwan Noerkemalasari, Dylla Prilangga, Regi Rahmana, Wiguna Raihandika, Hisyam Riswandi, Muhamad SRI RAHAYU Taptajani, Dedi Sa'dudin