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Application of the Naive Bayes Classifier Method and Fuzzy Analytical Hierarchy Process in Determining Books Eligible for Publishing Irwansyah, Mochamad Denny; Negara, Teguh Puja; -, Erniyati; Citra, Puspa
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 21, No 1 (2024): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v21i1.6677

The manuscript selection process is the process of assessing manuscripts worthy of publication. The Editor's job is to provide an evaluation of each manuscript based on the assessment criteria and sub-criteria. By using a decision support system, it can make it easier for policymakers to determine the suitability of a manuscript. In this research, a decision support system is applied to select papers that are worthy of publication, namely the Fuzzy Analytical Hierarchy Process (F-AHP) method for selecting the suitability of manuscripts using subjective criteria and the Naïve Bayes method for classifying books based on their genre. The test results using the F-AHP method produced an accuracy rate of 83.33% using 30 books out of 150 books and using the Naïve Bayes method produced an accuracy rate of 80% using 30 books from the internet. This system uses the Visual Studi Code IDE, Firebase, and Pythonanywhere as its database with an Android display.

Sistem Pendukung Keputusan Penentuan Kinerja Sales Terbaik Menggunakan Kombinasi Grey Relational Analysis dan Pembobotan Rank Sum Citra, Puspa; Sriyasa, I Wayan; Santoso, Heri Bambang
Jurnal Ilmiah Computer Science Vol. 2 No. 2 (2024): Volume 2 Number 2 January 2024
Publisher : PT. SNN MEDIA TECH PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jics.v2i2.26

The best sales performance is one of the key elements in the business world that not only reflects the ability of individuals or sales teams to achieve sales targets, but also becomes a key pillar in the growth and success of the company. The problem in choosing the best sales performance is that there is no decision support system model in choosing the best sales performance. The purpose of this study is to determine the best sales performance by applying the GRA method and rank sum weighting in the assessment of existing sales performance, so that the results of the sales performance appraisal will be a recommendation for companies in determining the best sales performance. The ranking results showed the highest value of 0.1309 obtained by sales Hadi for rank 1, the next highest value of 0.0941 obtained by sales Arini for rank 2, the next highest value of 0.0777 obtained by sales Cindy for rank 3.

Analisis Pemilihan Pemasok Bahan Baku Menggunakan Metode Rank Order Centroid dan SMART Citra, Puspa; Sriyasa, I Wayan
Journal of Artificial Intelligence and Technology Information Vol. 2 No. 3 (2024): Volume 2 Number 3 September 2024
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v2i3.134

Peran pemasok bahan baku sangat krusial dalam memastikan kelancaran produksi, karena kualitas dan ketersediaan bahan baku yang stabil akan memengaruhi efisiensi dan hasil akhir produksi. Pemilihan pemasok bahan baku adalah proses krusial dalam manajemen rantai pasok yang bertujuan untuk menentukan pemasok terbaik berdasarkan kriteria yang relevan bagi kebutuhan produksi. Permasalahan utama dalam pemilihan pemasok bahan baku biasanya mencakup beberapa aspek kritis, seperti kualitas yang tidak konsisten, ketidakpastian pasokan, harga yang berfluktuasi, dan ketepatan waktu pengiriman. Masalah lainnya sering kali mencakup beberapa tantangan utama, seperti kesulitan dalam menentukan kriteria evaluasi yang objektif, kompleksitas pembobotan kriteria, dan keterbatasan data yang akurat. Tujuan penelitian ini adalah untuk mengidentifikasi dan memilih pemasok bahan baku terbaik dengan menerapkan metode rank order centroid dan SMART, yang memberikan pembobotan objektif pada setiap kriteria yang relevan. Penelitian ini juga untuk meningkatkan akurasi dan konsistensi dalam proses pengambilan keputusan pemilihan pemasok, sehingga dapat mendukung efisiensi rantai pasok perusahaan. Hasil peringkat pemasok bahan baku terbaik berdasarkan skor yang diperoleh masing-masing pemasok. Pemasok E menempati peringkat tertinggi dengan skor 0,928, diikuti oleh Pemasok M dengan skor 0,814 dan Pemasok A dengan skor 0,789, yang menunjukkan bahwa ketiga pemasok ini memiliki performa terbaik dalam memenuhi kriteria evaluasi.

Optimization of Creative Industry Technology through E-Store Development in the MSME Business in the Fashion Sector Citra, Puspa; Erniyati; Harsani, Prihastuti; Suhendar, Endang
Jurnal Pengabdian Masyarakat Inovatif Vol. 1 No. 1 (2023): JPMI (Jurnal Pengabdian Masyarakat Inovatif)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/jpmi.v1i1.59

Micro Small Medium Enterprises (MSMEs) are the most important pillar of the Indonesian economy. However, with the pandemic in recent years, MSMEs have experienced an impact, namely in their marketing. With increased internet traffic, they have experienced a shift in the consumption pattern of goods and services from offline to online. In efforts to improve or deal with the impact of a pandemic, every MSME must be able to apply technology-based creative industries. Technology-based creative industries are creative industries that do not only rely on manual creativity but include the use of information technology and computers. Currently, technology-based creative industries play an important role in optimizing marketing strategies. One of the SMEs that is growing rapidly is the fashion sector. This research aims to create a web-based application to increase the added value of the MSME economy. Developing this application design involves making applications, trials, outreach, implementation, and evaluation. To know the function level of the observed application, a questionnaire containing aspects of Usefulness, Statistics, Ease of Learning, and Ease of Use was distributed. The average result is 83%, so the application is very feasible.

Optimization of Creative Industry Technology through E-Store Development in the MSME Business in the Fashion Sector Citra, Puspa; Erniyati; Harsani, Prihastuti; Suhendar, Endang
Jurnal Pengabdian Masyarakat Inovatif Vol. 1 No. 1 (2023): JPMI (Jurnal Pengabdian Masyarakat Inovatif)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/jpmi.v1i1.59

Micro Small Medium Enterprises (MSMEs) are the most important pillar of the Indonesian economy. However, with the pandemic in recent years, MSMEs have experienced an impact, namely in their marketing. With increased internet traffic, they have experienced a shift in the consumption pattern of goods and services from offline to online. In efforts to improve or deal with the impact of a pandemic, every MSME must be able to apply technology-based creative industries. Technology-based creative industries are creative industries that do not only rely on manual creativity but include the use of information technology and computers. Currently, technology-based creative industries play an important role in optimizing marketing strategies. One of the SMEs that is growing rapidly is the fashion sector. This research aims to create a web-based application to increase the added value of the MSME economy. Developing this application design involves making applications, trials, outreach, implementation, and evaluation. To know the function level of the observed application, a questionnaire containing aspects of Usefulness, Statistics, Ease of Learning, and Ease of Use was distributed. The average result is 83%, so the application is very feasible.

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