Sistem Marketplace Pencarian Lapangan Futsal Menggunakan Metode Haversine Berbasis Android

Jamaris, Muhamad; Saputra, Hendra; Anam, M. Khairul; Andesa, Khusaeri; Rahmaddeni, Rahmaddeni

doi:10.51903/pixel.v15i1.712

Cited by 4 publications

(4 citation statements)

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“…After the program was completed, the next step was to conduct a trial using black box testing. Black Box Testing or often known as functional testing is a software testing method used to test software without knowing the internal structure of the code or program (Jamaris et al, 2022). In this test, the tester was aware of what the program should do but has no knowledge of how to do it.…”

Section: \ Figure 4 Data Report Of Potential Recipientsmentioning

confidence: 99%

Application of Naïve Bayes Algorithm for Non-Cash Food Assistance Recipients in Kampar Regency

Anam¹,

Rahmiati²,

Paradila³

et al. 2023

SinkrOn

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Non- Non-Cash Food Assistance (BPNT) is a non-cash food social assistance from the government given to beneficiary families (KPM) of Rp. 200,000 per month which is given in the form of basic necessities by using an electronic card. The large number of residents who will be selected makes it difficult for village officials to make decisions on who is eligible or ineligible as recipients of non-cash food assistance every month. This research was conducted to design a decision support system for the eligibility of non-cash food assistance recipients by using the naïve bayes algorithm in order to help the Parit Baru Village apparatus every month in determining the eligibility of the next non-cash food assistance recipients, by perform Confusion Matrix calculations. From the results of the discussion carried out, it can be concluded that Naïve Bayes and the resulting rules had an accuracy rate of 95%, the Precision value was 94% and Recall was 100%. Therefore, the Naïve Bayes algorithm can be applied to the decision support system in determining the eligibility of recipients of non-cash food assistance.

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Section: \ Figure 4 Data Report Of Potential Recipientsmentioning

confidence: 99%

Application of Naïve Bayes Algorithm for Non-Cash Food Assistance Recipients in Kampar Regency

Anam¹,

Rahmiati²,

Paradila³

et al. 2023

SinkrOn

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show abstract

“…Dalam penelitian ini perancangan perangkat lunak menggunakan Unified Model Language (UML) untuk menggambarkan seluruh proses dan objek yang ada [5], [6]. Pemodelan yang digunakan dalam penelitian ini adalah pemodelan dengan Unified Modeling Language (UML) digunakan untuk membuat analisa dan desain suatu perangkat lunak dengan pemrograman berorientasi objek [7]. Berikut merupakan pemodelan dari Unified Modeling Language.…”

Section: Perancangan Perangkat Lunakunclassified

Prediksi dan Visualisasi Data Tingkat Kebutuhan Minyak dan Gas (MIGAS) PT. Prima Putra Agung dengan Metode Trend Projection

Zoromi,

Sitorus,

Anam

et al. 2023

JURTI

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PT. Prima Putra Agung mengalami permasalahan dalam penyedian stok BBM ke SPBU dan hal ini ternyata terjadi dikarenakan penjualan BBM yang kurang lancar di beberapa SPBU yang dimiliki oleh PT. Prima Putra Agung sehingga menyebabkan terjadinya kelangkaan antara SPBU yang satu dengan yang lainnya sementara SPBU yang lain membutuhkan lebih banyak dari jumlah yang diberikan oleh PT. Prima Putra Agung berdasarkan kebutuhan. Berdasarkan latar belakang tersebut peneliti tertarik untuk merancang dan membuat sebuah“Prediksi dan Visualisasi Data Tingkat Kebutuhan Minyak dan Gas (MIGAS) PT. Prima Putra Agung dengan Metode Trend Projection“. Untuk membangun sebuah sistem yang di inginkan peneliti menggunakan metode Trend Projection yang merupakan sebuah metode yang termasuk ke dalam bagian peramalan / prediksi. Peneliti memberikan solusi kepada PT. Prima Putra Agung dalam mengambil keputusan dari hasil penelitian ini tentunya sebuah sistem yang dapat memprediksi dan memvisualisasi data peningkatan kebutuhan di masing – masing SPBU. Hasil dari penelitian ini berupa sebuah produk digital yang berbentuk sebuah sistem berbasis website yang memberikan hasil prediksi di waktu yang akan datang kepada bagian manajemen, dari sistem ini data di visualisasi dalam bentuk grafik batang (bar) dan garis (line) untuk MIGAS dan setiap cabang.

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“…Pengujian pada penelitian dibagi menjadi 2 yaitu pengujian blackbox dan pengujian akurasi confusion matrix. Pengujian sistem memiliki tujuan yaitu untuk menguji semua element dari sistem yang telah dibuat apakah telah sesuai dengan diharapkan atau belum (Jamaris et al, 2022). penelitian ini akan menggunakan blackbox testing, blackbox testing merupakan metode pengujian yang berfokus pada persyaratan fungsional perangkat lunak (Anam & Anwar, 2020).…”

Section: Gambar 5 Hasil Prediksiunclassified

Sistem Prediksi Keuntungan Influencer Pengguna E-Commerce Shopee Affiliates menggunakan Metode Naïve Bayes

Susanti¹,

Sari²,

Anam³

et al. 2022

Edumatic

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Shopee Affiliate is one of Shopee's e-commerce programs to make it easier to market products. However, with the popularity of this program, there are still many people who do not know the advantages of this program. As a result, in this e-commerce, not all sellers benefit (loss) from the products sold. In order to avoid the problem of losses on marketed products, this study aims to produce a profit prediction system for shoppe affiliate e-commerce users. To build the system, this research uses the waterfall method which is used to complete the prediction system. The first stage is to collect data from social media and references related to the prediction system, then design a prediction system, after carrying out the process of system creation and implementation and testing. The test uses blackbox to test the system and accuracy test to determine the level of accuracy of this system. The result of this prediction system is to gain knowledge in the form of profit rate patterns of influencers of shopee affiliate e-commerce users. Testing the accuracy of the system built has a very good performance with a percentage of 100%. So that the profit prediction of shopee affiliate e-commerce users is feasible to be implemented. With this system, it is hoped that the community will be able to increase sales at e-commerce shopee.

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Sistem Marketplace Pencarian Lapangan Futsal Menggunakan Metode Haversine Berbasis Android

Cited by 4 publications

References 0 publications

Application of Naïve Bayes Algorithm for Non-Cash Food Assistance Recipients in Kampar Regency

Application of Naïve Bayes Algorithm for Non-Cash Food Assistance Recipients in Kampar Regency

Prediksi dan Visualisasi Data Tingkat Kebutuhan Minyak dan Gas (MIGAS) PT. Prima Putra Agung dengan Metode Trend Projection

Sistem Prediksi Keuntungan Influencer Pengguna E-Commerce Shopee Affiliates menggunakan Metode Naïve Bayes

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