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All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) Register: Jurnal Ilmiah Teknologi Sistem Informasi JOIV : International Journal on Informatics Visualization Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control J-SAKTI (Jurnal Sains Komputer dan Informatika) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal IMPACT: Implementation and Action J-SAKTI (Jurnal Sains Komputer dan Informatika) Insearch: Information System Research Journal
Kusuma, Selvia Ferdiana
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Social Sciences Other

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Analisis Pemilihan Supplier Pada Pengadaan Suku Cadang dengan Metode Analytic Hierarchy Process Naufal, Mohammad Farid; Putra, Putu Aditya Riva; Kusuma, Selvia Ferdiana
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 1 (2021): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (865.565 KB) | DOI: 10.30645/j-sakti.v5i1.328

Abstract

PT. Bali Age is a company which engaged in freight forwarding service. Because of this, the company is using the trucks for carry out of their operational activities. Every truck always gets a routine maintenance at their garage, so they must provide the spare parts stock by themselves. The currently procurement of spare parts are still based on paper. By implementing the decision support in a new procurement system, it can provide a supplier recommendation for this company. This supplier recommendation which provides by system, are getting from the result of the comparation value from criteria priority calculation, using AHP method. The AHP method that implemented in this system, can also provide the final result of supplier recommendation comparison value with accurately.
Rancang Bangun Sistem Informasi Survei Kepegawaian Kantor Pelayanan Perbendaharaan Negara Kediri Berbasis Web Kusuma, Selvia Ferdiana; Naufal, Mohammad Farid; Aminulloh, Septian Wijaya; Vernolyo, Panji Yumadana
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 1 (2021): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1246.379 KB) | DOI: 10.30645/j-sakti.v5i1.329

Abstract

The State Treasury Service Office in Kediri is one of the services of the state general treasurer in the city of Kediri. The function of the State Treasury Service Office in Kediri, which is responsible for channeling the budget according to its allocation as stipulated in the APBN Law. In order to maintain the quality of the services provided, the State Treasury Service Office in Kediri always carries out supervision. Currently, the employment survey is conducted using the google form. However, the use of this form of google is not optimal. This is because there is no final cost for the staffing survey that has been carried out and there is no report on the results of the survey that has been carried out. Therefore, this study makes a web-based design of the personnel survey information system at the State Treasury Service Office in Kediri. This information system uses the programming language PHP and Javascript (EcmaScript 6) with the MySQL database. Based on the experiments that have been done, all the features in this information system can work according to their function. The design of this information system can help the State Treasury Service Office in Kediri to conduct the performance survey process more efficiently.
Named Entity Recognition in Medical Domain: A systematic Literature Review Kusuma, Selvia Ferdiana; Wibowo, Prasetyo; Abdillah, Abid Famasya; Basuki, Setio
JOIV : International Journal on Informatics Visualization Vol 8, No 4 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.4.3111

Abstract

Biomedical Named Entity Recognition (BioNER) is essential to bioinformatics because it identifies and classifies biological entities in biomedical texts. With the increasing number of biomedical literature and the rapid progress of the BioNER approach, it is essential to conduct a systematic literature review (SLR) on BioNER. This SLR consolidates existing information and provides directions for future studies in the BioNER field. This review systematically explores scientific journals and conferences published from 2019 to 2024. This research uses PubMed and Scholar as reference search databases because of their affiliation with other well-known publishers such as IEEE, Elsevier, and Springer. The results show a transition from conventional machine learning to deep learning. Neural networks and transformers show better performance in deep learning methods. The datasets often used in BioNER development are BC2GM, BC5CDR, and NCBI-Disease. Precision, Recall, and F1-Score are used in most papers to evaluate model performance. The performance of these models mostly depends on the availability of big annotated datasets and significant computational tools. Therefore, it is vital for future research to address the issues of annotated data and resource availability to build accurate models. Researchers should investigate the creation of ideal designs that lower computing complexity without compromising performance. Overall, this SLR offers a thorough overview of the latest research on BioNER. It provides significant insights for academics and practitioners in bioinformatics and medical research, helping them understand the innovative aspects of BioNER research.
Co-Authors Abdillah, Abid Famasya Agung Teguh Wibowo Almais Agustono Heriadi, Agustono Aminulloh, Septian Wijaya Ashafidz Fauzan Dianta, Ashafidz Fauzan Basuki, Setio Chastine Fatichah Daniel Oranova Siahaan Fadelis Sukya, Fadelis Halimahtus Mukminna, Halimahtus Mohammad Farid Naufal, Mohammad Farid Perdananto, Bayu Rizki Putra, Putu Aditya Riva Ramadhan, Rizal Furqan Ratna Widyastuti, Ratna Ratri Enggar Pawening Rinanza Zulmy Alhamri, Rinanza Zulmy Rohman Dijaya Vernolyo, Panji Yumadana Wibowo, Prasetyo