E-Marketplace Media Pengembangan Promosi  Usaha Mikro Kecil Dan Menengah  Dinas Koperasi Umkm Kota Pekanbaru

Ahsyar, Tengku Khairil; Syaifullah, Syaifullah; Ardiansyah, Ardiansyah

doi:10.24014/rmsi.v6i1.8768

Cited by 15 publications

(13 citation statements)

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“…Confusion Matrix membandingkan hasil klasifikasi yang dilakukan oleh sistem dengan hasil klasifikasi yang manual [11]. Pengujian Black Box adalah pengujian terhadap sistem oleh pengguna dan dokumen yang dihasilkan dari pengujian tersebut dijadikan bukti bahwa sistem yang telah dibangun bisa diterima pengguna serta hasil pengujiannya telah memenuhi kebutuhan pengguna [12].…”

Section: Gambar 2 Hasil Kuesioner Siswa Membutuhkan Sistem Pemilihan ...unclassified

Sistem Pendukung Keputusan Pemilihan Jurusan Menggunakan Metode Analytical Hierarchy Process

Raswini

Ramdani²,

Prasetyo³

2022

Jur. Ris. Kom.

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Every academic year, SMAN 1 Gegesik accepts new students. Many new students have difficulty choosing a major at SMAN 1 Gegesik. Students are expected to know their interests, talents, and abilities, so they do not choose the wrong major. The problem in selecting majors is the difficulty of determining the specialization of students' majors, which results in a mismatch between the results of determining the majors with the interests, talents, and abilities of students. The solution to this problem is to build a decision support system (DSS) that can provide recommendations for choosing majors. The purpose of these majors is that students can be directed to receive lessons according to their abilities. This research was conducted to build a Decision Support System (DSS) by applying the Analytical Hierarchy Process (AHP) method, which provides recommendations for selecting majors at SMAN 1 Gegesik. The AHP method is used for decision-making by considering several criteria in selecting majors, including academic scores, psychological test scores, and interests. The system development method in this research is Rapid Application Development (RAD). This RAD model has a shorter development cycle, is more flexible, increases user engagement, and reduces the likelihood of errors. The system that has been built is tested using the Confusion Matrix method and the Black Box Testing method. Confusion Matrix measures the accuracy of the resulting data classification, while Black Box Testing is used to test system functionality. The Confusion Matrix results obtained an accuracy value of 77%, and it can be judged that the level of system accuracy is in the excellent category. The results of the Black Box Testing stated that the system was smooth and had no errors in its application. This research produces a decision support system that can recommend science or social studies majors for class X students

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Section: Gambar 2 Hasil Kuesioner Siswa Membutuhkan Sistem Pemilihan ...unclassified

Sistem Pendukung Keputusan Pemilihan Jurusan Menggunakan Metode Analytical Hierarchy Process

Raswini

Ramdani²,

Prasetyo³

2022

Jur. Ris. Kom.

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“…The use of other e-marketplaces is also applied to Micro, Small and Medium Enterprises (UMKM). (Ahsyar et al, 2020) create an e-marketplace as a medium for developing UMKM promotions at the Pekanbaru City Cooperative Service. Researchers conducted an analysis using the calculation of the Payback Period and Return on investment (ROI).…”

Section: Literature Reviewmentioning

confidence: 99%

Implementation of Web-based of E-Marketplace for UMKM at XYZ University

Devega

Walhidayat

Yuhelmi

2022

SinkrOn

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One of the private universities in Pekanbaru, which has nine postgraduate faculties and 10 faculties with 21 study programs. The number of the academic community is quite large, there is already a whats app group that facilitates the entire Academic Community in terms of transacting selling goods or services online. However, in practice it has not been fully effective, one of which is because there are no clear rules in trade ethics, for example, one person may only post a maximum of two products a day because if there are too many, it will overwrite other seller's product postings as well. This often happens, causing whats app groups are only dominated by one or two people who post all the products sold along with their customer testimonials. This of course can harm other sellers, it can also disturb the comfort of the group for both sellers and buyers. Therefore, to answer these problems, a market place is proposed specifically for the entire XYZ’s Academic Community. In addition to reviving UMKM at XYZ University, it is also a forum to make it easier for lecturers, employees and also students to make transactions that are comfortable and effective for both sellers and buyers. Furthermore, system development will be carried out both from adding features, android-based and matters related to user convenience in interacting with the system.

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“…Dari hasil pengujian sistem telah diuji menyimpulkan yaitu sistem eMarketplace yang dibuat sesuai dengan keinginan dan harapan serta penerimaan terhadap sistem juga sangat baik. Sehingga sistem dapat membantuk wirausahawan untuk mengiklankan produknya secara luas (Ahsyar et al, 2020).…”

Section: Pendahuluanunclassified

Analisis Penjualan Produk Online UMKM melalui Marketplace dan E-Commerce dengan Pendekatan Binary Logistic Regression

Teruna¹,

Ardiansyah²

2021

PKWU

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Studi ini untuk mengetahui tujuan prediksi probabilitas dari UMKM Penjualan online di kotamadya jakarta timur termasuk dengan kelayakan model dan overall model fit. Metode penelitan dilakukan dengan pendekatan kuantitatif dimana menggunakan Binary Logistic Regression atau Regresi Berganda Binari. Data dikumpulkan dengan data utama yaitu angket dan data pendukung yaitu buku dan jurnal, untuk data primer menggunakan angket atau kuesioner sedangkan data sekunder menggunakan data dari buku dan jurnal. Uji analisis disini adalah Case processing summary, Uji simultan (Omnibus Test), Ekspektasi dan pengukuran asosiasi, Uji model Hosmer and Lemeshow dan Uji model fit. Teknik analisis data antara lain berupa Uji simultan berdasarkan tabel omnibus, hipotesis tolak H0 kesimpulannya minimal ada satu variabel bebas (marketplace atau eCommerce) berkorelasi signifikan, pada variabel respon (penjualan) sehingga model dapat dianalisis. model summary untuk nilai Nagelkerke R sebesar 0.595 bahwa variabel penjualan dijelaskan dalam bentuk model sejumlah 59.5%.dari output uji t diperoleh marketplace dan eCommerce adalah signifikan secara statistik dikarenakan memiliki probabilitas dibawah angka 0,05. untuk itu bahwa model regresi yang ditampilkan sangat baik dalam memprediksi penjualan produk online UMKM.

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E-Marketplace Media Pengembangan Promosi Usaha Mikro Kecil Dan Menengah Dinas Koperasi Umkm Kota Pekanbaru

Cited by 15 publications

References 0 publications

Sistem Pendukung Keputusan Pemilihan Jurusan Menggunakan Metode Analytical Hierarchy Process

Sistem Pendukung Keputusan Pemilihan Jurusan Menggunakan Metode Analytical Hierarchy Process

Implementation of Web-based of E-Marketplace for UMKM at XYZ University

Analisis Penjualan Produk Online UMKM melalui Marketplace dan E-Commerce dengan Pendekatan Binary Logistic Regression

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