Journal of Artificial Intelligence and Technology Information
Journal of Artificial Intelligence and Technology Information (JAITI) is a peer-review journal focusing on Artificial Intelligence and Technology Information issues. Journal of Artificial Intelligence and Technology Information (JAITI) invites academics and researchers who do original research in artificial intelligence and technology 1nfromation.Journal of Artificial Intelligence and Technology Information (JAITI) is published by Tech Cart Press in March, June, September, and December every year. Journal of Artificial Intelligence and Technology Information (JAITI) accept articles in Bahasa Indonesia and English.
Articles
40 Documents
<![CDATA[IT Personnel Recruitment Decision Support System: Combination of TOPSIS and Entropy Weighting Methods ]]>
<![CDATA[Setiawansyah, Setiawansyah]]>
<![CDATA[ Journal of Artificial Intelligence and Technology Information (JAITI) Vol. 2 No. 3 (2024): Volume 2 Number 3 September 2024 ]]>
Publisher : <![CDATA[PT. Tech Cart Press ]]>
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DOI: 10.58602/jaiti.v2i3.131
<![CDATA[IT personnel recruitment is an important process that aims to get the best talent in the field of information technology to support operations and innovation in an organization. IT personnel recruitment faces several key challenges that often make it difficult for companies to find the right candidates. One of the main problems is that the recruitment process can also be constrained by difficulties in assessing a candidate's cultural and interpersonal fit, where high technical skills are not necessarily balanced by good communication and teamwork skills. The purpose of this study is to apply DSS that integrates the TOPSIS and entropy weighting methods in the IT recruitment process, so that it can help companies select the best candidates effectively and objectively. The system is designed to improve the accuracy of candidate identification through multi-criteria analysis. An IT personnel recruitment decision support system that combines TOPSIS and entropy methods is an innovative approach designed to increase effectiveness in selecting the best candidates based on relevant criteria. The results of Candidate G ranking were ranked highest with a score of 0.932, followed by Candidate A with a score of 0.7069, Candidate C with a score of 0.645, and Candidate E with a score of 0.6443. Furthermore, Candidate I in the middle position with a score of 0.5023, followed by Candidate D with a score of 0.3417. Candidate B and Candidate H are in a lower position with values of 0.2188 and 0.1817, respectively. Candidate F ranked at the bottom with a score of 0.0519.]]>
<![CDATA[Kombinasi Metode Rank Reciprocal dan MARCOS Dalam Pemilihan Kinerja Guru Terbaik ]]>
<![CDATA[Badiwibowo Atim, Sandi]]>
<![CDATA[ Journal of Artificial Intelligence and Technology Information (JAITI) Vol. 2 No. 3 (2024): Volume 2 Number 3 September 2024 ]]>
Publisher : <![CDATA[PT. Tech Cart Press ]]>
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DOI: 10.58602/jaiti.v2i3.132
<![CDATA[Problems in teacher performance evaluation often include several aspects that can hinder effectiveness and fairness in the process, especially in subjectivity in assessment. Many evaluation methods still rely on subjective judgments from superiors or peers, which can result in bias and unfairness. The purpose of this study is to develop a more objective and transparent teacher performance evaluation system by combining the reciprocal and MARCOS rank methods. In addition, this research is also to provide effective recommendations in the selection of the best teachers based on relevant criteria, in order to improve the quality of education in related institutions. The combination of the reciprocal rank and MARCOS methods in selecting the best teacher performance is an innovative approach to evaluate and rank teachers based on predetermined criteria, such as pedagogical competence, material mastery, communication skills, and managerial ability. The results of the ranking of the best teacher performance show that Dian Lestari ranks highest with a score of 1.8959, followed by Fitria Sari with a score of 1.8559 and Andi Santoso in third place with a score of 1.8523. These results show that Dian Lestari has the most superior performance compared to her peers in various aspects of the assessment applied.]]>
<![CDATA[Penerapan Metode Simple Additive Weighting dan Pembobotan Entropy Untuk Penentuan Teknisi Terbaik ]]>
<![CDATA[Yudhistira, Aditia]]>
<![CDATA[ Journal of Artificial Intelligence and Technology Information (JAITI) Vol. 2 No. 3 (2024): Volume 2 Number 3 September 2024 ]]>
Publisher : <![CDATA[PT. Tech Cart Press ]]>
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DOI: 10.58602/jaiti.v2i3.133
<![CDATA[Determining the best technicians in a company is often a challenge due to a variety of factors that need to be considered. Each technician has different advantages and disadvantages, making objective performance measurement difficult. This problem is often exacerbated by the subjectivity of assessments, especially if the evaluation is based solely on the subjective assessment of the supervisor or management team without considering in-depth performance data. The application of the SAW method with entropy weighting for the determination of the best technician is an approach that combines a simple calculation process with objective criterion weighting, based on the degree of variability of data between technicians. The combined application of SAW and entropy provides a fair, objective, assessment system in determining the best technicians, which is able to help companies to identify the technicians with the most superior performance. The results of the analysis of the selection of the best technician using the SAW method show that Technician E is ranked at the top with a final score of 0.8619, making it the best choice based on the criteria that have been assessed. The next ranking was filled by Technician A with a score of 0.8381, and Technician C who obtained a score of 0.8310, showing their excellent performance.]]>
<![CDATA[Analisis Pemilihan Pemasok Bahan Baku Menggunakan Metode Rank Order Centroid dan SMART ]]>
<![CDATA[Citra, Puspa]]>;
<![CDATA[Sriyasa, I Wayan]]>
<![CDATA[ Journal of Artificial Intelligence and Technology Information (JAITI) Vol. 2 No. 3 (2024): Volume 2 Number 3 September 2024 ]]>
Publisher : <![CDATA[PT. Tech Cart Press ]]>
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DOI: 10.58602/jaiti.v2i3.134
<![CDATA[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.]]>
<![CDATA[Sistem Pendukung Keputusan Pemilihan Pelanggan Terbaik Menggunakan Metode SD-MOORA ]]>
<![CDATA[Rahmanto, Yuri]]>
<![CDATA[ Journal of Artificial Intelligence and Technology Information (JAITI) Vol. 2 No. 3 (2024): Volume 2 Number 3 September 2024 ]]>
Publisher : <![CDATA[PT. Tech Cart Press ]]>
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DOI: 10.58602/jaiti.v2i3.135
<![CDATA[Selecting the best customer is an important process in business that aims to recognize high-value customers for the company based on factors such as purchase frequency, transaction value, loyalty, and long-term business potential. However, this process often faces challenges, especially when it comes to objective and consistent measurements. One of the main problems is the complex and dynamic variation of customer data, making it difficult for companies to determine the right metrics to comprehensively assess customers. SPK for selecting the best customers using the SD-MOORA method is a system designed to assist companies in evaluating and selecting the best customers based on various criteria. With the SD-MOORA method, the system can automatically consider changes in data or variability between criteria, making the evaluation process more dynamic and adaptive to data fluctuations. The results of the ranking of the best customers using the SD-MOORA method, Customer 8 occupies the first position with the highest optimization value of 0.39079, followed by Customer 4 who obtained a score of 0.3734. Furthermore, Customer 2 is in third place with a value of 0.35515. These results show that Customer 8 is the best based on optimization value, while Customer 5 is ranked at the bottom.]]>
<![CDATA[Kombinasi Metode Rank Order Centroid dan Operational Competitiveness Rating Analysis Dalam Seleksi Penerimaan Staff Perpustakaan ]]>
<![CDATA[Wahyudi, Agung Deni]]>;
<![CDATA[Sulistiyawati, Ari]]>
<![CDATA[ Journal of Artificial Intelligence and Technology Information (JAITI) Vol. 2 No. 4 (2024): Volume 2 Number 4 December 2024 ]]>
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DOI: 10.58602/jaiti.v2i4.136
<![CDATA[Library staff are personnel who work in libraries and are responsible for managing, organizing, and providing various information services to library users. This selection process usually involves several stages, ranging from meeting administrative requirements to assessing the technical and interpersonal abilities of prospective staff. Problems that occur in the selection that do not have clear assessment guidelines can lead to highly subjective assessments, where decisions are influenced more by personal opinion than objective criteria. The purpose of this study is to apply a more objective, structured, and targeted approach to the selection of library staff admissions through a combination of ROC and OCRA methods that produce a selection model that can be applied to various library institutions, as well as support the improvement of service quality and library management through the selection of qualified staff. The results of the evaluation using the OCRA method, the candidate with the highest final score was Candidate H with a score of 0.9133, which placed him in the first rank as the most suitable candidate for the position of library staff. Candidate E was ranked second with a score of 0.8339, showing almost comparable performance and also very competitive. In third place is Candidate B with a final score of 0.3578. The results of this ranking help in identifying the best candidates and show qualitative differences between each prospective staff, supporting the decision-making process in the admission of library staff.]]>
<![CDATA[Sistem Pendukung Keputusan Kenaikan Jabatan Bagian Produksi Menggunakan ROC dan ARAS ]]>
<![CDATA[Rahmanto, Yuri]]>
<![CDATA[ Journal of Artificial Intelligence and Technology Information (JAITI) Vol. 2 No. 4 (2024): Volume 2 Number 4 December 2024 ]]>
Publisher : <![CDATA[PT. Tech Cart Press ]]>
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DOI: 10.58602/jaiti.v2i4.137
<![CDATA[Promotion in the production department is an important step that can improve the company's performance and operational efficiency. By promoting highly competent employees, leadership abilities, and a deep understanding of the production process, companies can ensure that production teams are led by individuals who are able to effectively manage resources, drive innovation, and improve output quality. One of the main problems is the existence of subjectivity in performance evaluation, where decisions can be influenced by personal preferences or inter-individual relationships, rather than on objective performance and competence. The purpose of this study is to provide tools that are easy to use by management in the process of evaluating and promoting employees, in order to support an effective and targeted decision-making process in the production environment by applying rank order centroid (ROC) and additive ratio assessment (ARAS) methods. So that it can make a real contribution in optimizing a fair and data-based promotion process in the production department, as well as increasing employee satisfaction and trust in the company's promotion policies. The result of the promotion recommendation that the candidate who received the highest rank was Candidate 5 with a score of 0.9305. These candidates are assessed as the ones who best meet the set criteria. Candidate 8 and Candidate 2 occupy the next position with values of 0.8684 and 0.8565. The results of this recommendation provide a clear picture of the performance and potential of each candidate, so that it can help the company in making fair and appropriate decisions in the process of promotion in the production department.]]>
<![CDATA[Penerapan Metode MOORA dan LOPCOW Dalam Seleksi Penerimaan Guru Bimbel ]]>
<![CDATA[Sulistiyawati, Ari]]>
<![CDATA[ Journal of Artificial Intelligence and Technology Information (JAITI) Vol. 2 No. 4 (2024): Volume 2 Number 4 December 2024 ]]>
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DOI: 10.58602/jaiti.v2i4.139
<![CDATA[The selection of the right tutor admission is important to ensure that each teacher has strong pedagogical competence, communication skills, and material understanding, as well as the ability to manage the classroom and motivate students. However, the selection of ideal teachers based on these criteria is often a challenge due to the limitations of objective and transparent assessment methods. The combination of MOORA and LOPCOW in multi-criteria decision-making offers a robust and objective approach to ranking alternatives based on relevant criteria. The combination of these two methods is expected to be able to provide more accurate, efficient, and in accordance with the needs of tutoring institutions in recruiting qualified teachers. This research aims to provide a comprehensive solution in the selection process, but also contributes to the development of a selection method based on multi-criteria analysis in the context of education. The ranking results show an alternative ranking for tutoring teacher admissions based on the scores obtained by each prospective teacher. From these results, Yusuf Hakim is ranked first with the highest score of 0.3715, which shows that he is the strongest candidate to be accepted. The second place was occupied by Siti Zahra with a score of 0.3635, followed by Intan Permata who had a score of 0.3622 in third place. From this data, it can be concluded that Yusuf Hakim is the most recommended candidate to be accepted as a tutor, while Fajar Pratama has the lowest score in this assessment.]]>
<![CDATA[Integration of Root Assessment Method and Entropy Weighting in Determining Business Location Selection ]]>
<![CDATA[Setiawansyah, Setiawansyah]]>
<![CDATA[ Journal of Artificial Intelligence and Technology Information (JAITI) Vol. 2 No. 4 (2024): Volume 2 Number 4 December 2024 ]]>
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DOI: 10.58602/jaiti.v2i4.141
<![CDATA[Business location is one of the key factors in determining the success of a business. Choosing the right location can affect customer accessibility, operational costs, and a company's competitiveness in the market. Determining the location of a business is often faced with various problems that can affect the success and continuity of the business. One of the main challenges is the accessibility and reach of the market, and un-strategic or hard-to-reach locations can limit customer potential and reduce business appeal. Another problem is that it often arises from the diversity of criteria that must be taken into account and the importance of each criterion varies depending on the type of business. The purpose of this study is to apply a more objective approach in determining business locations by integrating the root assessment method and entropy weighting methods in systematically evaluating various business location criteria and giving fair weight based on their level of importance. By applying this combination of methods, the decision-making process becomes more accurate and in accordance with business needs, and provides solutions that can be adapted by various types of businesses in determining strategic locations that support long-term success. Business location ranking shows the highest rated location is Location 6, with a score of 4.4254. Furthermore, Location 10 is ranked second with a score of 4.3993, followed by Location 2 in third place with a score of 4.3916. These results show that Location 6 is the most superior location in this assessment.]]>
<![CDATA[Perancangan Sistem Informasi Perpustakaan Menggunakan Web Engineering ]]>
<![CDATA[Abdillah Putri, Tari]]>
<![CDATA[ Journal of Artificial Intelligence and Technology Information (JAITI) Vol. 2 No. 4 (2024): Volume 2 Number 4 December 2024 ]]>
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DOI: 10.58602/jaiti.v2i4.142
<![CDATA[Perpustakaan tidak hanya berfungsi sebagai tempat penyimpanan informasi, tetapi juga sebagai pusat akses yang memfasilitasi pengguna dalam menemukan dan meminjam berbagai referensi. Oleh karena itu, sistem informasi perpustakaan yang berbasis teknologi web menjadi solusi yang tepat untuk meningkatkan efisiensi dan aksesibilitas layanan perpustakaan. Perancangan sistem informasi perpustakaan menggunakan pendekatan web engineering memberikan solusi yang efisien dalam pengelolaan data perpustakaan secara digital. Dengan memanfaatkan metodologi web engineering, sistem ini dirancang untuk memiliki struktur yang jelas dan modular, memungkinkan pengembangan yang lebih mudah dan pemeliharaan yang lebih efisien. Implementasi sistem berbasis web memungkinkan aksesibilitas yang lebih luas bagi pengguna untuk melakukan peminjaman, pengembalian, pencarian buku, dan perpanjangan dengan cara yang lebih praktis dan terintegrasi. Selain itu, sistem ini juga menyediakan fitur untuk memantau riwayat transaksi, pengelolaan koleksi buku, serta laporan yang mendukung pengambilan keputusan bagi pengelola perpustakaan. Secara keseluruhan, perancangan sistem informasi perpustakaan dengan Web Engineering dapat meningkatkan efisiensi, meminimalisir kesalahan manusia, dan memberikan pengalaman yang lebih baik bagi pengguna dan petugas perpustakaan. Hasil pengujian sistem perpustakaan berbasis web menggunakan metode blackbox testing menunjukkan bahwa seluruh fitur yang diuji berhasil memenuhi spesifikasi dan kebutuhan pengguna dengan tingkat keberhasilan 100%.]]>
