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All Journal SPIRIT Best : Journal of Applied Electrical, Science and Technology
Devi Kurniasari, Norma
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Physics

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KAJIAN LITERATUR CYBER SECURITY DENGAN METODE BIBLIOMETRIC PERIODE 2019 - 2025 Triono, Gaguk; Shobikhah, Anis; Devi Kurniasari, Norma; Widianto, Ari
SPIRIT Vol 17, No 1 (2025): SPIRIT
Publisher : LPPM ITB Yadika Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53567/spirit.v17i1.385

Abstract

Seiring meningkatnya ketergantungan terhadap sistem digital dan internet, kebutuhan akan penelitian dan inovasi di bidang cyber security menjadi sangat mendesak. Adapun kajian terdahulu yang berhubungan dengan siber hanya fokus pada media atau alat bantu pembelajaran. Studi bibliometrik menjadi pendekatan yang tepat untuk memahami dinamika penelitian siber security dalam kurun waktu tersebut. Melalui analisis bibliometrik, dapat diperoleh gambaran mengenai tren publikasi (jumlah, distribusi, dan pertumbuhannya), tahun dan artikel dengan tingkat kutipan tertinggi, serta topik-topik utama yang mendominasi penelitian dalam bidang ini. negara yang menulis publikasi terbanyak tentang cyber security yaitu China berhasil menempati peringkat pertama di Asia dengan jumlah sitasi terbanyak sedangkan untuk publlikasi terbanyak ditingkat Dunia adalah United State yang kemudian disusul china. Posisi peneliti Indonesia tidak terlihat pada TOP TEN Tingkat dunia, hal ini mengindikasikan bahwa minat penelitian untuk topik cyber security sangat minim peminat. Hal ini sekaligus menunjukkan adanya celah penelitian untuk dilakukan penelitian lanjutan oleh peneliti-peneliti Indonesia.
Implementation of Decision Tree and Item Response Theory (IRT) in SIMPATIF (Sistem Penilaian Adaptif) Devi Kurniasari, Norma; Shobikhah, Anis; Basofi Rohman, Trian; Kurniawan , Muchamad
BEST Vol 7 No 1 (2025): BEST
Publisher : Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/best.vol7.no1.10317

Abstract

This study discusses how to accurately determine the level of ability of students using Computer Adaptive Testing (CAT). In the implementation of CAT, test participants are given question items according to their abilities. This shows the difference from existing testing systems such as Computer Based Testing (CBT). ADAPTIVE in this system is an automated exam system that is carried out adaptively, adjusting the difficulty level of the questions to the ability of each examinee. The questions given depend on the answer to the previous question: true or false. If the answer is correct, then the next question item has a higher level of difficulty, while if it is wrong, the difficulty level of the next question decreases. CAT in this study is also called the term SIMPATIF (Adaptive Assessment System). The difference between CAT and SIMPATIF is from the selection of question items, in the test using the SIMPATIF application, the selection of question items using the C4.5 algorithm and IRT 3 Parameter Logistics Model (3PL). The 3 parameters are the difficulty level of the question, differentiation, and deceit. In the development of this SIMPATIF. The input attributes from the decision tree have 4 attributes, namely difficulty level, differentiation, deceiver and IRT, while the target attributes are 2, namely YES and NO. The questions used are productive subjects majoring in Multimedia at SMK PGRI 2 Sidoarjo. The study was conducted with 10 students, SIMPATIF only succeeded in 67,901% for the adaptive status of the questions. Meanwhile, if correlated with CBT 76.58%.
Co-Authors Basofi Rohman, Trian Kurniawan , Muchamad Shobikhah, Anis Triono, Gaguk Widianto, Ari