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GRDP Growth Rate Clustering in Surabaya City uses the K-Means Algorithm Nur Ahlina Febriyati; Achmad Daengs GS; Anjar Wanto
IJISTECH (International Journal of Information System and Technology) Vol 3, No 2 (2020): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v3i2.60

Gross Regional Domestic Product (GRDP) is an indicator used to measure economic performance in a period. GRDP is the amount of added value generated by all business units in a particular area. It can also be said to be the sum of the value of the final goods and services produced by all economic units. Therefore, this study aims to cluster the GRDP Growth Rate according to business fields in the city of Surabaya, so that it is known which sectors have high or low growth. The clustering algorithm used is K-Means. By using this method, the data will b,e grouped into several clusters, where the implementation of the K-Means Clustering process uses the Rapid Miner tools. The data used is the GRDP Growth Rate in Surabaya City by Business Field, 2010-2019 (Percent). The data is divided into 3 clusters: high, medium, and low. The results obtained are nine categories/sectors with high clusters, 5 categories / sectors with medium clusters, and three categories,s / sectors with low clusters. This can be input and information for the Surabaya City government to further maximize efforts to increase the GRDP Growth Rate in the area.

Analysis of Backpropagation Algorithm Using the Traingda Function for Export Prediction in East Java Nur Ahlina Febriyati; Achmad Daengs GS
IJISTECH (International Journal of Information System and Technology) Vol 4, No 1 (2020): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v4i1.95

Exports are significant for a country's economic development, especially in regions that carry out export activities because not all countries and regions have the same natural and human resources. Therefore this study aims to predict the level export of oil, gas, and others in the province of East Java and understand the forecast for the number of exports in the coming year. This is important to provide information to the East Java provincial government so that it can make policies so that the export value can be increased, at least so that the export value remains stable. The prediction algorithm used is the Backpropagation Neural Network algorithm using the Gradient Descent training function with Adaptive Learning rate. The research data is data on the Export of oil, gas, and others in East Java Province from 2008 to 2019. The prediction process analysis uses 3 network architecture models, namely: 5-10-1, 5-15-1, and 5-20-1. Based on the analysis results, the 5-10-1 model is the best compared to the other two models with an accuracy rate of more than 90% and MSE testing 0.0012454304, which means that this model is good for predicting the export of oil, gas, and others.

PERANCANGAN SISTEM INFORMASI PENJUALAN ONLINE BERBASIS WEB PADA BATIK WIDI NUGRAHA NGAWI Nur Ahlina Febriyati; M. Yusuf Arnol
JIKO (Jurnal Informatika dan Komputer) Vol 3, No 3 (2020)
Publisher : Journal Of Informatics and Computer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v3i3.2270

Salah satu rumah industri batik yang terkenal di kota Ngawi, Jawa Timur yaitu Batik Widi Nugraha. Unit usaha kecil menengah ini fokus memproduksi kain batik. Sistem Penjualan yang diterapkan pada unit usaha ini masih manual, belum memungkinkan untuk memperluas area pemasaran dan menjangkau semua wilayah, serta sulitnya memperoleh informasi mengenai produk Batik Widi Nugraha. Diperlukan suatu sistem penjualan online berbasis website yang dapat mempermudah dalam memasarkan dan menjual produk batik tersebut secara luas. Tujuan dari penelitian ini adalah untuk merancang sistem informasi penjualan online berbasis website yang terintegrasi. Metodologi yang digunakan untuk perancangan dan pengembangan sistem penjualan online ini, adalah metodologi terstruktur dengan model SDLC (System Development Life Cycle). Dengan adanya sistem informasi penjualan ini, masyarakat semakin mudah untuk mencari dan mendapatkan informasi tentang Batik Widi Nugraha Ngawi berupa informasi produk yang ditawarkan dan melakukan pembelian tanpa harus datang ke toko. Sistem informasi ini dirancang dengan menggunakan use case diagram. Dari hasil perancangan didapatkan bahwa perancangan sistem informasi berjalan terintegrasi dengan baik antara bagian administrator, pemilik toko dan pelanggan. Perancangan sistem informasi penjualan online berbasis website dapat membantu usaha Batik Widhi Nugraha untuk lebih berkembang dan meningkat hasil omset penjualannya sehingga dapat berimplikasi pada peningkatan pelayanan terhadap pelanggan (konsumen) dan manajemen administrasi.

Analysis of Backpropagation Algorithm Using the Traingda Function for Export Prediction in East Java Nur Ahlina Febriyati; Achmad Daengs GS
IJISTECH (International Journal of Information System and Technology) Vol 4, No 1 (2020): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Exports are significant for a country's economic development, especially in regions that carry out export activities because not all countries and regions have the same natural and human resources. Therefore this study aims to predict the level export of oil, gas, and others in the province of East Java and understand the forecast for the number of exports in the coming year. This is important to provide information to the East Java provincial government so that it can make policies so that the export value can be increased, at least so that the export value remains stable. The prediction algorithm used is the Backpropagation Neural Network algorithm using the Gradient Descent training function with Adaptive Learning rate. The research data is data on the Export of oil, gas, and others in East Java Province from 2008 to 2019. The prediction process analysis uses 3 network architecture models, namely: 5-10-1, 5-15-1, and 5-20-1. Based on the analysis results, the 5-10-1 model is the best compared to the other two models with an accuracy rate of more than 90% and MSE testing 0.0012454304, which means that this model is good for predicting the export of oil, gas, and others.

GRDP Growth Rate Clustering in Surabaya City uses the K-Means Algorithm Nur Ahlina Febriyati; Achmad Daengs GS; Anjar Wanto
IJISTECH (International Journal of Information System and Technology) Vol 3, No 2 (2020): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Gross Regional Domestic Product (GRDP) is an indicator used to measure economic performance in a period. GRDP is the amount of added value generated by all business units in a particular area. It can also be said to be the sum of the value of the final goods and services produced by all economic units. Therefore, this study aims to cluster the GRDP Growth Rate according to business fields in the city of Surabaya, so that it is known which sectors have high or low growth. The clustering algorithm used is K-Means. By using this method, the data will b,e grouped into several clusters, where the implementation of the K-Means Clustering process uses the Rapid Miner tools. The data used is the GRDP Growth Rate in Surabaya City by Business Field, 2010-2019 (Percent). The data is divided into 3 clusters: high, medium, and low. The results obtained are nine categories/sectors with high clusters, 5 categories / sectors with medium clusters, and three categories,s / sectors with low clusters. This can be input and information for the Surabaya City government to further maximize efforts to increase the GRDP Growth Rate in the area.

Perancangan aplikasi inventory barang berbasis web pada PT Atla Aglikutur Surabaya Achmad Bukhori; Nur Ahlina Febriyati
INFOTECH : Jurnal Informatika & Teknologi Vol 6 No 2 (2025): INFOTECH: Jurnal Informatika & Teknologi
Publisher : LPPMPK - Universitas Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/infotech.v6i2.1984

Teknologi informasi menjadi suatu sarana yang penting dalam meningkatkan efektivitas dan efisiensi kegiatan dalam suatu perusahaan. Inventory adalah aset yang dimiliki oleh perusahaan yang dimaksudkan untuk digunakan dalam operasi perusahaan dan dijual atau diharapkan akan dikembalikan di masa mendatang. Semua barang yang terlihat juga bisa disebut stok, tergantung pada jenis dan sifat operasi bisnisnya. Atla Aglikultur Surabaya merupakan sebuah perusahaan yang bergerak dalam bidang penyediaan barang Perkebunan. Pengelolaan persediaan barang masih dilakukan secara konvensional. Dengan begitu sistem yang berjalan sering kali terjadi kendala seperti ketidak sesuaiannya data barang yang masuk dan pencatatan barang yang berulang. Maka dari itu, diperlukan suatu sistem informasi inventory yang mempermudah karyawan. Diharapkan dengan adanya sistem informasi daftar barang ini akan membantu para pegawai untuk mengatur barang masuk dan barang keluar. Sistem informasi inventory barang dirancang dengan menggunakan metode pengembangan sistem yaitu model waterfall sesuai dengan teori Software Development Life Cycle (SDLC) yaitu Communication, Planning, Modelling dan Construction adalah yang nantinya dapat memudahkan pengelolaan barang masuk dan keluar di Atla Aglikultur dan dapat sesuai dengan kebutuhan pengguna sistem tersebut digunakan.

Strategy for Increasing Competitiveness Through Green Digital Marketing in Sandal SMEs in Wedoro Village with SWOT and QSPM Analysis Devi Susiati; Rizky Nurrochmad Ismail; Nur Ahlina Febriyati
IJEBD (International Journal of Entrepreneurship and Business Development) Vol 9 No 3 (2026): May 2026
Publisher : LPPM of NAROTAMA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29138/ijebd.v9i3.3660

Micro, Small, and Medium Enterprises (MSMEs) play a strategic role in supporting the national economy, particularly in job creation and strengthening regional economies. One MSME center that contributes significantly is the sandal MSME in Wedoro Village, Waru District, Sidoarjo Regency, which has developed as a cottage industry for generations. However, in recent years, this MSME has faced challenges in the form of increased product competition, shifts in consumer behavior toward digital, and market demands for environmentally friendly products. This has led some MSMEs to persist with conventional marketing and not optimally utilize digital potential. This research aims to formulate a strategy to increase the competitiveness of the sandal MSME in Wedoro Village through an integrated, data-driven green digital marketing approach. The case study for this research was conducted on the Odiva MSME owned by Ms. Yuni, as a representative MSME that still survives with stable production capacity but faces limitations in digital marketing. Data collection was conducted through observation, interviews, questionnaires, and documentation studies. Data were analyzed using the Life Cycle Assessment (LCA) method to compare the environmental impacts of products and packaging. This was followed by a SWOT analysis to identify internal and external factors. These factors were then objectively prioritized using the QSPM to determine the best strategy based on relative attractiveness. The targeted outputs of this research include the development of alternative strategies to increase the competitiveness of sandal MSMEs based on green digital marketing, the creation of an official website as a medium for sustainable digital promotion and branding, and the publication of scientific articles in accredited national journals. The research findings are expected to provide practical contributions to partner MSMEs in Wedoro Village in expanding their market reach, enhancing the image of environmentally friendly products, and supporting business sustainability.

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