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All Journal Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Jurnal Ilmiah Informatika dan Ilmu Komputer Jurnal Ilmiah Computer Science CHAIN: Journal of Computer Technology, Computer Engineering and Informatics Journal of Artificial Intelligence and Technology Information Prosiding SeNTIK STI&K Jurnal Pengabdian Masyarakat Inovatif Jurnal Pengabdian Masyarakat Inovatif
Citra, Puspa
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Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Social Sciences Other

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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

Abstract

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

Abstract

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 (JAITI) 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

Abstract

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

Abstract

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

Abstract

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.
PENERAPAN IMPLEMENTASI NAÏVE BAYES CLASSIFIER DAN METODE FUZZY AHP DALAM PENENTUAN BUKU LAYAK TERBIT MENGGGUNAKAN ANDROID Negara, Teguh Puja; Erniyati, Erniyati; Citra, Puspa; Irwansyah, Muhammad Denny
Prosiding Seminar SeNTIK Vol. 8 No. 1 (2024): Prosiding SeNTIK 2024
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Proses seleksi naskah merupakan proses penilaian kelayakan naskah yang cukup menimbulkan kendala, karena sebelumnya bersifat manual dan memiliki unsur subyektifitas dari panilai. Penggunaan metode Sistem Penunjang Keputusan (SPK) dan penggunaaan komputer merupakan tuntutan yang sangat kuat untuk mempermudah tim penilai untuk kelayakan naskah buku yang akan diterbitkan. Dalam penelitian ini, metode Fuzzy Analytical Hierarchy Process (F-AHP) digunakan sebagai sistem pendukung keputusan untuk memilih makalah yang layak dipublikasikan. Metode ini menggunakan kriteria subjektif untuk memilih naskah yang sesuai dan metode Naive Bayes untuk mengklasifikasikan buku berdasarkan genrenya. Hasil pengujian dengan metode F-AHP menunjukkan tingkat akurasi sebesar 83,33%. Dengan menggunakan 30 buku dari 150 buku, metode Naive Bayes menghasilkan klasifikasi buku berdasarkan genrenya. Visual Studi Code IDE, Firebase, dan Pythonanywhere adalah database sistem dengan tampilan Android
Penerapan Metode Rank Order Centroid dan SMART Dalam Sistem Pendukung Keputusan Pemilihan Waitress Terbaik Citra, Puspa; Dwi Satria, Muhammad Najib
CHAIN: Journal of Computer Technology, Computer Engineering, and Informatics Vol. 2 No. 2 (2024): Volume 2 Number 2 April 2024
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/chain.v2i2.116

Abstract

The main duties of a waitress include welcoming and directing customers to tables, taking food and beverage orders, serving dishes, and ensuring customer satisfaction during their visit. One of the main problems in determining the best waitress is finding a balance between technical skills, such as the ability to take orders quickly. The main problem in determining the best waitress is finding a balance between technical skills, such as the ability to take orders quickly or manage tables efficiently, and interpersonal skills, such as good communication skills and the ability to maintain positive relationships with customers. In addition, attention also needs to be paid to the ability to work in demanding situations, maintain cleanliness, and adapt to diverse work environments. The purpose of this study is to apply ROC and SMART methods in a Decision Support System (DSS) for the selection of the best waitress. Using the ROC, this study aimed to determine the relative weights of relevant criteria in waitress assessment, while SMART was used to provide a holistic approach in the evaluation of alternatives. The combination of these two methods is expected to provide a strong and measurable framework for selecting the best waitress, taking into account various aspects of qualifications and relevant preferences. The ranking results for the best waitress 1 with a final value of 0.8353 were obtained by Leni, for the best waitress 2 with a final value of 0.7163 obtained by Haris, and for the best waitress 3 with a final value of 0.6975 obtained by Riyadi.
Kombinasi Metode SWARA dan SMART Dalam Sistem Pendukung Keputusan Pemilihan Guru Berprestasi Santoso, Heri Bambang; Sriyasa, I Wayan; Citra, Puspa
Journal of Artificial Intelligence and Technology Information (JAITI) Vol. 2 No. 1 (2024): Volume 2 Number 1 March 2024
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v2i1.102

Abstract

The selection of outstanding teachers is an important process in the education system to recognize and reward the dedication and outstanding contributions of educators. Problems in the selection of outstanding teachers include unclear selection criteria, subjectivity in assessment, limited resources, and fairness and transparency in the selection process. One of the main problems is the inconsistent or inadequate definition of criteria, which can result in unclarity in determining who is worthy of being an outstanding teacher. This study aims to select outstanding teachers by applying a combination of SWARA and SMART methods in the assessment process of outstanding teachers, so that the tone of application of this method can help the school in determining outstanding teachers. The ranking results show that rank 1 was obtained on behalf of Teacher HS with a value of 0.77105, rank 2 was obtained on behalf of Teacher IA with a value of 0.76975, and rank 3 was obtained on behalf of Teacher HSR with a value of 0.73025.
Sistem Pendukung Keputusan Pemilihan E-Commerce Menggunakan Pembobotan Entropy dan COPRAS Citra, Puspa; Santoso, Heri Bambang; Sriyasa, I Wayan
Jurnal Ilmiah Informatika dan Ilmu Komputer (JIMA-ILKOM) Vol. 3 No. 1 (2024): Volume 3 Number 1 March 2024
Publisher : PT. SNN MEDIA TECH PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jima-ilkom.v3i1.25

Abstract

The choice of e-commerce platform is crucial for businesses that want to expand their reach and increase sales online. By choosing the right e-commerce platform, businesses can optimize their online operations, increase customer satisfaction, and achieve sustainable growth in an increasingly competitive digital marketplace. This study aims to select e-commerce using a combination of entropy weighting methods and COPRAS in producing alternative assessments and ratings of existing e-commerce, so that it becomes a recommendation for the public in choosing an e-commerce as a transaction platform. The ranking results in the final e-commerce score are rank 1 obtained for Shoope e-commerce with a value of 100%, rank 2 obtained for Tokopedia e-commerce with a value of 95.93%, rank 3 obtained for Lazada e-commerce with a value of 80.93%, and rank 4 obtained for Blibli e-commerce with a value of 58.07%. The recommendation results for selecting an E-Commerce platform using a combination of Entropy and COPRAS weighting methods provide the highest recommendation to the Shoope E-Commerce platform with the highest value of 100%.
Co-Authors -, Erniyati Dwi Satria, Muhammad Najib Endang Suhendar Erniyati Erniyati, Erniyati Irwansyah, Mochamad Denny Irwansyah, Muhammad Denny Negara, Teguh Puja Prihastuti Harsani Santoso, Heri Bambang Sriyasa, I Wayan