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Optimasi Rute Pengangkutan Sampah Elektronik di Kota Bandung dengan Pendekatan menggunakan Algoritma Genetika dan Algoritma Seleksi Clonal Purbasari, Ayi; Fikri, Rifqi Muhammad; Fauzaan, Muhammad Rifqi Al; Firdaus, Mohamad Fidi
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 10, No 3 (2024): Volume 10 No 3
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v10i3.78360

Abstract

Kota Bandung melalui operator pengelolaan layanan sampah melakukan upaya maksimal dalam pengelolaan sampah, khususnya sampah elektronik (e-waste). Salah satunya dengan menerapkan gagasan penjemputan sampah dalam bentuk aplikasi dengan menggunakan komponen optimasi untuk rute dan kapasitas, mengingat terbatasnya armada pengangkutan sampah. Optimasi Vehicle Routing Problem dengan kapasitas (CVRP) merupakan persoalan optimasi penentuan rute dengan keterbatasan kapasitas kendaraan. Penelitian menggunakan dua algoritma terinspirasi biologi, yaitu Algoritma Seleksi Clonal (CSA) dan Algoritma Genetika yang dikonstruksi menggunakan bahasa Java untuk menyelesaikan CVRP. Ujicoba dilakukan terhadap 36 titik drop-off yang merupakan titik TPS di Kota Bandung Utara. Hasil uji memperlihatkan sub-tur yang diperoleh untuk masing-masing armada. Ujiccoba memperlihatkan pola-pola yang peningkatan total jarak seiring dengan banyaknya armada yang digunakan. Dengan menetapkan 6 armada, Algoritma Genetika memperlihatkan hasil jarak 56.376 meter yang lebih baik dari Algoritme Seleksi Clonal, yaitu 67.407 meter. Algoritma Seleksi Clonal menunjukkan kemampuan mendapatkan jarak optimal yang lebih baik di awal evolusi dibandingkan dengan Algoritma Genetika. Namun selanjutnya mengalami stagnan, sementara Algoritma Genetika dapat menghasilkan bobot jarak yang mengecil seiring dengan jumlah evolusi. Dari sisi waktu eksekusi, Algoritma Seleksi Clonal memiliki kinerja waktu eksekusi yang jauh lebih cepat dibandingkan dengan waktu eksekusi Algoritma Genetika. Perlu pengembangan lebih lanjut agar kedua algoritma dapat dibandingkan kinerja pencapaian optimasi bobot baik dari sisi jarak disertai dengan waktu tempuh sebagai parameter optimasi. Selain itu, program yang telah dikonstruksi dapat dijadikan library yang dapat digunakan oleh aplikasi penjemputan sampah elekronik.
LSTM Parameter Optimization with Genetic Algorithm for Stunting Prediction Muhammad Fikri, Rifqi; Purbasari, Ayi; Zulianto, Arief; Ruluwedrata Rinawan, Fedri; Indra Susanti, Ari
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 13 No. 1 (2025): Maret 2025
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v13i1.10761

Abstract

Stunting is caused by a lack of nutrients or sickness, and stunted children may have impaired immune systems, increased mortality rates, and are more prone to endure long-term developmental abnormalities. Stunting prevalence in Indonesia remains concerningly high by the end of 2024. Through the use of integrated health posts, or pos pelayanan terpandu (Posyandu), and the technology-based website iPosyandu, attempts are being made to lower the prevalence of stunting. Using toddler data from iPosyandu, this study proposes a Long-Short Term Memory (LSTM) model for predicting stunting based on WHO standards, categorizing children as tall, normal, stunted, or severly stunted. By using a genetic algorithm (GA) for learning rate hyperparameter tuning, the LSTM model is significantly improved. Five generations, each with five populations, were used for the GA-based optimization, which explored learning rates ranging from 5.23E-04 to 8.83E-03. The results show that 7.82E-03 was the optimal learning rate, producing the greatest accuracy of 91.10%, indicating that this range improves the performance of LSTM models.
Application of the Open Data Kit for Data Collection Presence of Primary School Teachers Purbasari, Ayi; Gusdya, Wanda; Mulyanto, Ferry; Nurlatifah, Vina Fitria
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 2 No 2 (2021): April
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v2i2.409

Abstract

The Open Data Kit (ODK) originated as a google.org initiative where research efforts were focused on applying technology to assist developing countries in the health and environment sectors. ODK is an open-source tool that helps organizations, writers / researchers, field workers, and manage mobile data collection solutions. Its goal is to create open-source and standards-based tools that are easy to try, easy to use, easy to modify and easy to measure. This research was conducted to help teachers and Korwil Operators to collect and manage teacher attendance data at each elementary school in Ciater sub-district by utilizing the Open Data Kit as a medium for collecting and managing primary school teacher attendance data. This research was conducted by conducting literature studies, interviews and observations, and studying the use of the Open Data Kit. Furthermore, the stages will be carried out to define the needs of analysis, design and implementation. The final result of this research is a presence data collection application that utilizes the Open Data Kit as a medium consisting of ODK Collect as a data collection tool and ODK Aggregate as a tool for managing data.
Utilization of Google My Business as a Tourism Promotion Media Using Local Search Engine Optimization Purbasari, Ayi; Maryono, Ghesti Prabawati; Mulyanto, Ferry; Gusdya, Wanda
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 2 No 2 (2021): April
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v2i2.417

Abstract

The tourism industry is an industry that continues to grow in the world, including in Indonesia. Likewise, Kebumen Regency has various tourism potentials ranging from water tourism, mountain tourism, culinary tours, cave tours, cultural tourism and others. One of them is Curug Sindaro, which is located in the north of Kebumen Regency which is precisely located in Wadasmalang Village, Karangsambung District, Kebumen Regency, Central Java. However, in the process of developing and managing it, the tour, which was inaugurated on March 3, 2019, is increasingly experiencing a decline in visitors. Which is where, the main problem is that the promotion is still not optimal. In the existing tourism development process, of course, requires the media used to carry out promotions with a good marketing strategy. In order to be easily affordable, the right marketing strategy to use is an online marketing strategy. By analyzing promotional needs and analyzing keywords, it can maximize promotion. The purpose of this research is to implement Local SEO using Google My Business as a promotional medium for Wisata Curug Sindaro which is an online marketing strategy. If the Sindaro waterfall tour is promoted through Google my business, tourists around the Sindaro waterfall will find it easy to find Sindaro waterfall tourism through google and it is hoped that visitors will increase. Because, in this Google My Business has sufficient features for promotion. With the initial stage of registering a Google My Business account, then claiming an existing business. Because previously the Sindaro Curug Tour was already on Google Pages. With several stages of verification and changing the cellphone number that stated the Google My Business account for Sindaro Curug Tourism has been successfully created. However, due to the verification method there are obstacles that have been successfully created is the web page for the Sindaro Waterfall Tour.