Article Per Year (5 Year)
p-Index From 2021 - 2026
3.055
P-Index
This Author published in this journals
All Journal KOMPUTIKA - Jurnal Sistem Komputer TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Teknologi dan Sistem Informasi Journal Social Science And Technology For Community Service Jurnal Pendidikan dan Teknologi Indonesia J-Intech (Journal of Information and Technology) Jurnal Media Borneo CHAIN: Journal of Computer Technology, Computer Engineering and Informatics Journal of Artificial Intelligence and Technology Information Journal of Information Technology
Ari Sulistiyawati
Universitas Teknokrat Indonesia
Aerospace Engineering Arts Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Social Sciences Veterinary Other

Published : 18 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 18 Documents
Search

 1   2 
Program Sekolah Binaan : In House Training Peningkatan Kompetensi Public Speaking Dalam Kepemimpinan Siswa Di SMAN 2 Gedong Tataan Sulistiyawati, Ari; Yulianti, Tien; Rahmanto, Yuri; Fitratullah, M.; Priandika, Adhie Thyo
Journal of Social Sciences and Technology for Community Service (JSSTCS) Vol 4, No 2 (2023): Volume 4, Nomor 2, September 2023
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jsstcs.v4i2.3199

Abstract

Kegiatan Pengabdian kepada Masyarakat ini dilakukan pada mitra sekolah binaan di SMA Negeri 2 Gedong Tataan. Program yang dilakukan adalah In house training peningkatan kompetensi public speaking yang melibatkan semua pengurus OSIS dan perwakilan siswa kelas X dan XI sesuai program kerja yang disetujui oleh pihak sekolah.  Permasalahan yang dialami oleh mitra yaitu: belum optimalnya kemampuan public speaking untuk menunjang kepemimpinan yang berkualitas dalam organisasi di sekolah. Solusi yang diusulkan untuk mengatasi permasalahan tersebut adalah peningkatan softskill bagi siswa terpilih untuk mengikuti bimbingan dan pelatihan public speaking dalam keterampilan berbicara. Target luaran dari kegiatan PKM Sekolah Binaan ini adalah 1) peningkatan kemampuan siswa yang diukur melalui kuesioner, 2) artikel publikasi di jurnal ABDIMAS terakreditasi nasional, 3) artikel berita kegiatan yang dishare di media massa online,  dan 4) video kegiatan di link youtube LPPM Teknokrat
Combination of MOORA and ITARA Methods in Decision Support Systems for Measuring the Performance of Quality Control Teams Hendrastuty, Nirwana; Wang, Junhai; Sulistiyawati, Ari; Darwis, Dedi; Setiawansyah, Setiawansyah; Jumaryadi, Yuwan; Sumanto, Sumanto
TIN: Terapan Informatika Nusantara Vol 6 No 6 (2025): November 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i6.8382

Abstract

The problems that often arise in evaluating the performance of the Quality Control team are the subjectivity in determining the weight of criteria and the limitations of traditional methods in producing objective and consistent rankings. To address this issue, this research integrates the Indifference Threshold-based Attribute Ratio Analysis (ITARA) and Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) methods within a decision support system. The ITARA method is used to determine the weights of criteria based on data variation, making them more representative of real conditions, with the result that Accuracy of Product Defect Identification becomes the most dominant criterion with a weight of 0.3999, followed by Response Speed to Issues at 0.1877, while other criteria have lower weights. Furthermore, the MOORA method is used to calculate the preference of alternatives, resulting in a final ranking. The analysis results indicate that the Quality Assurance Team ranks first, followed by the Quality Improvement Team in second place, while the Quality Inspection Team is in the last position. To test the reliability of the model, a sensitivity analysis was conducted by varying the weights of the main criteria. The results show that the ranking structure is relatively stable, with changes only occurring in the positions of the first and second ranks when the accuracy weight is reduced by 0.2. In conclusion, the combination of ITARA-MOORA proves to be capable of producing objective, robust, and reliable performance evaluations as a basis for strategic decision-making in enhancing the quality of the quality control teams.
Combination of Response to Criteria Weighting Method and Multi-Attribute Utility Theory in the Decision Support System for the Best Supplier Selection Faruk Ulum; Junhai Wang; Dyah Ayu Megawaty; Ari Sulistiyawati; Riska Aryanti; Sumanto Sumanto; Setiawansyah Setiawansyah
J-INTECH ( Journal of Information and Technology) Vol 13 No 01 (2025): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v13i01.1810

Abstract

Choosing the right supplier is a strategic factor in supporting operational efficiency and a company's competitive advantage. This process requires a decision support system that is able to assess various alternatives objectively and in a structured manner. This study aims to develop a decision support system in the selection of the best supplier by combining the Response to Criteria Weighting (RECA) and Multi-Attribute Utility Theory (MAUT) methods. The RECA method is used to objectively determine the weight of each criterion based on the variation of data between alternatives, so as to reduce subjectivity in the weighting process. Meanwhile, the MAUT method functions to calculate the total utility value of each supplier based on the normalization value and weight that has been obtained. The results of the RECA method show the objective weight of each criterion, which is then used in the MAUT calculation process. The results of the analysis, obtained in the best supplier selection based on the total score of each candidate, it can be seen that PT Global Niaga Mandiri ranks first with the highest score of 0.6512, this shows that this company is the best choice in the supplier selection process. In second place is UD Anugrah Bersama with a score of 0.399, followed by PT Indo Logistik Prima in third place with a score of 0.3451. The combination of the RECA and MAUT methods has been proven to be able to produce accurate, rational, and accountable decisions. This system provides a measurable approach in filtering supplier alternatives efficiently and is relevant to be applied to various other multi-criteria decision-making contexts.
Penerapan Kombinasi Metode SWARA dan MAUT dalam Penentuan Kelayakan Calon Pendidik Agung Deni Wahyudi; Ari Sulistiyawati
Journal of Artificial Intelligence and Technology Information (JAITI) Vol. 3 No. 2 (2025): Volume 3 Number 2 June 2025
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v3i2.201

Abstract

Proses seleksi penerimaan calon guru merupakan langkah kritis dalam memastikan kualitas pendidikan yang berkualitas bagi siswa. Selain menilai kualifikasi akademik seperti latar belakang pendidikan dan pengalaman kerja, seleksi juga harus mempertimbangkan aspek-aspek seperti kemampuan komunikasi, keterampilan interpersonal, kemampuan mengelola kelas, dan dedikasi terhadap profesi pendidikan. Permasalahan utama dalam seleksi penerimaan calon guru adalah kesulitan dalam menilai aspek kualitatif seperti kemampuan mengajar, komunikasi interpersonal, dan kepemimpinan. Tujuan dari penelitian penerapan kombinasi Metode SWARA dan MAUT dalam seleksi penerimaan calon guru adalah untuk mengembangkan pendekatan yang lebih efektif dan komprehensif dalam proses seleksi penerimaan calon guru. Dengan menggabungkan metode SWARA dan MAUT, penelitian ini untuk meningkatkan objektivitas dan keakuratan penilaian terhadap kandidat guru berdasarkan kriteria yang ditetapkan. Selain itu, penelitian ini juga untuk memahami implikasi kombinasi kedua metode tersebut terhadap keputusan akhir dalam seleksi calon guru, serta untuk menyediakan landasan teoritis yang kuat untuk meningkatkan proses seleksi SDM di bidang pendidikan. Hasil perangkingan menunjukkan nilai tertinggi pertama sebesar 0,7043 didapatkan oleh kandidat GY serta berhak mendapatkan peringkat 1, nilai tertinggi kedua sebesar 0,5804 didapatkan oleh kandidat AJ serta berhak mendapatkan peringkat 2, dan nilai tertinggi ketiga sebesar 0,5365 didapatkan oleh kandidat MS serta berhak mendapatkan peringkat 3 dalam seleksi penerimaan calon guru. Hasil perangkingan dengan menggunakan kombinasi metode SWARA dan MAUT ini menjadi rekomendasi bagi sekolah dalam seleksi penerimaan calon guru.
Penerapan Metode Logarithmic Percentage Change-Driven Objective Weighting dan Multi-Attribute Utility Theory dalam Penerimaan Guru Bahasa Inggris Setiawansyah Setiawansyah; Ari Sulistiyawati
Journal of Artificial Intelligence and Technology Information (JAITI) Vol. 2 No. 2 (2024): Volume 2 Number 2 June 2024
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v2i2.119

Abstract

The admission of English teachers in private schools is an important process in ensuring the quality of education in the institution. This process involves several stages, from the announcement of job vacancies to the selection of candidates who match the established criteria. Problems in the recruitment of English teachers, namely a selection process that lacks transparency or inadequate evaluation tools, can also be an obstacle. Therefore, addressing the problem of English teacher recruitment requires a holistic approach that pays attention to various aspects, including the development of effective recruitment strategies, the provision of training to improve candidate qualifications, and the improvement of the overall selection process. The research objective of applying the LOPCOW (Logarithmic Percentage Change-Driven Objective) Weighting and MAUT (Multi-Attribute Utility Theory) method is to provide a comprehensive and effective framework in the selection process, where LOPCOW is used to analyze objective data related to teacher performance and qualifications, while MAUT is used to integrate the subjective preferences of stakeholders such as principals and school committees in decision making. Thus, the main objective is to optimize the admission process of English teachers by considering these two aspects holistically. The ranking results show that the final results of English teacher admissions recommend the first rank with a final score of 0.7421 obtained by HR Teacher Candidates. This result is the application of the LOPCOW and MAUT methods in the selection process for English teacher admission, and becomes a recommendation for the English teacher admission process.
Kombinasi Metode Rank Order Centroid dan Operational Competitiveness Rating Analysis Dalam Seleksi Penerimaan Staff Perpustakaan Agung Deni Wahyudi; Ari Sulistiyawati
Journal of Artificial Intelligence and Technology Information (JAITI) Vol. 2 No. 4 (2024): Volume 2 Number 4 December 2024
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v2i4.136

Abstract

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.
Penerapan Metode MOORA dan LOPCOW Dalam Seleksi Penerimaan Guru Bimbel Ari Sulistiyawati
Journal of Artificial Intelligence and Technology Information (JAITI) Vol. 2 No. 4 (2024): Volume 2 Number 4 December 2024
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v2i4.139

Abstract

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.
Penerapan Fuzzy Multiple Attribute Decision Making pada Pemilihan Lokasi Perumahan Menggunakan Metode TOPSIS Donaya Pasha; Ari Sulistiyawati
CHAIN: Journal of Computer Technology, Computer Engineering, and Informatics Vol. 4 No. 3 (2026): Volume 4 Number 3 July 2026
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/chain.v4i3.255

Abstract

Pemilihan lokasi perumahan merupakan salah satu proses pengambilan keputusan yang cukup kompleks karena calon pembeli sering mengalami kesulitan dalam menentukan perumahan terbaik berdasarkan berbagai kriteria yang harus dipertimbangkan secara bersamaan, seperti akses lokasi, sarana dan prasarana, kondisi lingkungan, harga, dan kondisi jalan. Perbedaan tingkat kepentingan setiap kriteria serta adanya penilaian yang bersifat subjektif menyebabkan proses pemilihan menjadi kurang efektif apabila dilakukan secara manual. Oleh karena itu, penelitian ini bertujuan untuk menerapkan metode Fuzzy Multiple Attribute Decision Making (FMADM) menggunakan metode TOPSIS dalam memberikan rekomendasi pemilihan lokasi perumahan terbaik. Metode TOPSIS menggunakan matriks keputusan yang menggambarkan hubungan antara kriteria dan alternatif, di mana matriks tersebut berisi nilai-nilai kriteria yang menunjukkan kinerja relatif setiap alternatif terhadap masing-masing kriteria. Berdasarkan hasil perangkingan, alternatif yang memperoleh peringkat pertama adalah Arum Lestari dengan nilai sebesar 0,561737951, peringkat kedua adalah Springhill dan Amaya Residence dengan nilai sebesar 0,522774425, peringkat ketiga adalah Citra Garden dengan nilai sebesar 0,5, dan peringkat keempat adalah Bumi Asri Residence dengan nilai sebesar 0,477225576.
Co-Authors Adelina Hasyim Aditia Yudhistira Ahmad Ari Aldino Aji Bagus Arsi Hajizah Dedi Darwis Dyah Ayu Megawaty Eni Tri Handayani Faruk Ulum Fitratullah, M. Hanny Hanny Heni Sulistiani Jumaryadi, Yuwan Junhai Wang Lara Tastilia Lathifah Lathifah Megawaty, Dyah Ayu Merti Warsela Nirwana Hendrastuty Palupiningsih, Pritasari Pasha, Donaya Priandika, Adhie Thyo Riska Aryanti S.Samsugi S.Samsugi Setiawansyah Setiawansyah Sumanto Sumanto Tien Yulianti Ulum, Faruk Wahyudi, Agung Deni Wang, Junhai Yuri Rahmanto