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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA ILKOM Jurnal Ilmiah JurTI (JURNAL TEKNOLOGI INFORMASI) Jurnal Manajemen Informatika dan Sistem Informasi Jambura Journal of Electrical and Electronics Engineering Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Arsitektur, Sains Bangunan, Kota dan Pemukiman Jurnal Indonesia : Manajemen Informatika dan Komunikasi
Yulianti Lasena
Universitas Ichsan Gorontalo
Religion Arts Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science

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K-NEAREST NEIGHBOR MENGGUNAKAN FEATURE SELECTION BACKWARD ELIMINATION UNTUK PREDIKSI JUMLAH PERMINTAAN DARAH PADA PMMI KOTA GORONTALO Yulianti Lasena; Sunarto Taliki; Mohamad Efendi Lasulika; Andi Bode
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 1 (2023): Jurnal Indonesia : Manajemen Informatika dan Komunikasi (JIMIK)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) AMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i1.172

Abstract

The importance of the availability of blood at PMI, it is expected that PMI always maintains the amount of blood supply to meet the need for blood transfusions. Prediction of blood supply is needed to overcome problems related to bloodstock supply at PMI Gorontalo. The application of predicting the number of blood requests with the K-Nearest Neighbor Algorithm can be done to overcome the existing problems. K-NN is a non-parametric algorithm that can be used for classification and regression. The last few decades have been used in prediction cases, but the K-NN algorithm is better if feature selection is applied in selecting features that are not relevant to the model, the feature selection used in this study is Backward Selection. This study aims to determine the error value in predicting the number of requests for blood at the PMI in Gorontalo City. Meanwhile, the purpose of this research is to find the error value of the K-Nearest Neighbor Algorithm and Feature Selection which can be used as a reference for PMI in making policies to make various efforts to maintainbloodstockk in the future.
Sistem Prediksi Dalam Mengetahui Produksi Telur Puyuh Menggunakan Metode Moving Average Warid Yunus; Budy Santoso; Abd Rahmat Karim Haba; Yulianti Lasena
JurTI (Jurnal Teknologi Informasi) Vol 7, No 2 (2023): DESEMBER 2023
Publisher : Universitas Asahan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36294/jurti.v7i2.3813

Abstract

Selama ini UD. Ela selalu memproduksi telur puyuh setiap minggunya cenderung mengalami peningkatan dan penurunan. Meningkatnya produksi telur puyuh disebabkan oleh banyaknya permintaan di setiap minggunya, dan menurunnya jumlah produksi dari telur puyuh itu sendiri disebabkan oleh kurangnya jumlah telur puyuh yang dihasilkan oleh burung puyuh itu sendiri maupun dari jumlah telur puyuh yang mengalami kerusakan, seperti yang sudah diketahui bahwa banyaknya peternak burung puyuh sehingga telur puyuh mengalami penumpukan dan rusak karena berada di suhu udara yang tidak menentu akibatnya telur puyuh tidak bisa bertahan lama dan tidak dapat dijual di pasaran. Rumusan Masalah penelitian ini yaitu Bagaimana penerapan metode Single Moving Averange dalam memprediksi jumlah hasil produksi telur puyuh serta Bagaimana cara membuat atau merekayasa sistem prediksi jumlah hasil produksi telur puyuh. Tujuan Penelitian ini adalah untuk menerapkan metode Single Moving Averange dalam memprediksi jumlah hasil produksi telur puyuh serta untuk merekayasa sistem prediksi produksi telur puyuh.
PENERAPAN METODE LEAST SQUARE UNTUK PREDIKSI PENJUALAN BRIGHT GAS 5,5 KG Serwin; Lasena, Yulianti
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 1 (2023): Januari
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i1.133

Abstract

This company sells 5.5 kg of Bright gas which will be distributed to the base every month, experiencing ups and downs. In addition, it also resulted in the inappropriate procurement of 5.5 kg Bright gas. Every month it is not adjusted to monthly sales estimates because it has not used a prediction system. Therefore, there is a sales prediction system of 5.5 kg of bright gas every month, the amount of bright gas is 5.5 kg which will be distributed to the base. The purpose of this research is to find out good accuracy in the Least Square method for the selling process of 5.5 kg bright gas at PT. Togo Jaya Gorontalo. Results achieved With the bright gas prediction system, predictions can be made for the next period and measurement results using MAPE of 0.20%.
K-NEAREST NEIGHBOR MENGGUNAKAN FEATURE SELECTION BACKWARD ELIMINATION UNTUK PREDIKSI JUMLAH PERMINTAAN DARAH PADA PMMI KOTA GORONTALO Lasena, Yulianti; Taliki, Sunarto; Lasulika, Mohamad Efendi; Bode, Andi
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 1 (2023): Januari
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i1.172

Abstract

The importance of the availability of blood at PMI, it is expected that PMI always maintains the amount of blood supply to meet the need for blood transfusions. Prediction of blood supply is needed to overcome problems related to bloodstock supply at PMI Gorontalo. The application of predicting the number of blood requests with the K-Nearest Neighbor Algorithm can be done to overcome the existing problems. K-NN is a non-parametric algorithm that can be used for classification and regression. The last few decades have been used in prediction cases, but the K-NN algorithm is better if feature selection is applied in selecting features that are not relevant to the model, the feature selection used in this study is Backward Selection. This study aims to determine the error value in predicting the number of requests for blood at the PMI in Gorontalo City. Meanwhile, the purpose of this research is to find the error value of the K-Nearest Neighbor Algorithm and Feature Selection which can be used as a reference for PMI in making policies to make various efforts to maintainbloodstockk in the future.
RUMAH ADAT DULOHUPA SEBAGAI IDENTITAS VISUAL GORONTALO Siska Udilawaty; Yulianti Lasena
Venustas Vol 3 No 2 (2024): Mei
Publisher : Program Studi Teknik Arsitektur, Fakultas Teknik - Universitas Ichsan Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37195/venustashome.v3i2.1019

Abstract

The Dulohupa traditional house is one of the traditional houses in Gorontalo which has an interesting and historical meaning that needs to be revealed to introduce it as one of the visual identities of Gorontalo so that it is known among tourists and the migrant community. On the basis of this knowledge, this research seeks to reveal the extent to which the visual image of the Dulohupa traditional house is one of the visual identities of the city of Gorontalo. Traditional houses have many meanings and symbols that need to be preserved. By knowing the meanings and ornaments, it is hoped that they can build a visual identity and attract tourists. The type of research used is a descriptive qualitative approach. The data collection method used is literature study. The results of identifying the characteristics of the Dulohupa traditional house show that the Dulohupa traditional house is an embodiment of local cultural values ​​and distinctive architectural art.
Co-Authors Abd. Rahmat Karim Haba Andi Bode Budy Santoso Hastuti Dalai Husdi Kartika Chandra Pelangi Maryam Hasan Mohamad Efendi Lasulika Muis Nanja Rofiq Harun Serwin Siska Udilawaty Sunarto Taliki Warid Yunus Yusrianto Malago Zulfrianto Yusrin Lamasigi