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ZENODO
Preprint . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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Evaluasi Keandalan Data Internet Reactor Laboratory (IRL) Terhadap Perhitungan Periode dan Reaktivitas Pada Reaktor TRIGA Kartini

Evaluation of the Reliability of Internet Reactor Laboratory (IRL) Data for Period and Reactivity Calculations in the TRIGA Kartini Reactor
Authors: Aulia, Sholikhah Karomatul;

Evaluasi Keandalan Data Internet Reactor Laboratory (IRL) Terhadap Perhitungan Periode dan Reaktivitas Pada Reaktor TRIGA Kartini

Abstract

Penelitian ini bertujuan untuk mengevaluasi keandalan data Internet Reactor Laboratory (IRL) dalam perhitungan periode dan reaktivitas Reaktor TRIGA Kartini, serta membandingkannya dengan nilai reaktivitas yang diperoleh dari reactivity computer sebagai data acuan. Data yang digunakan berasal dari kegiatan pengukuran reaktivitas batang kendali pada kondisi daya rendah sekitar 10 W, meliputi batang kendali pengatur, kompensasi, dan pengaman. Perhitungan reaktivitas dilakukan menggunakan metode doubling time untuk kondisi perubahan daya yang berlangsung relatif lambat, sedangkan untuk kejadian transien cepat berupa rod drop digunakan pendekatan perbandingan daya sebelum dan sesudah batang kendali dijatuhkan.Hasil analisis menunjukkan bahwa pada posisi batang kendali menengah, data IRL masih mampu merepresentasikan perubahan daya reaktor dengan baik, sehingga nilai reaktivitas hasil perhitungan memiliki kesesuaian yang cukup tinggi terhadap data reactivity computer dengan persentase galat yang relatif kecil. Namun, pada posisi batang kendali mendekati jenuh serta pada kejadian transien cepat seperti rod drop, persentase galat meningkat secara signifikan. Hal ini disebabkan oleh keterbatasan resolusi waktu pencatatan data IRL yang berada pada kisaran 1,6–1,7 detik, sehingga tidak mampu merekam dinamika perubahan daya reaktor secara detail. Sebagai upaya untuk mengatasi keterbatasan tersebut, digunakan database baru yang dibangun dari akuisisi sinyal mentah detektor Compensated Ion Chamber (CIC) dengan resolusi waktu yang lebih tinggi. Database ini mampu merekam perubahan daya reaktor secara lebih rapat pada kejadian transien cepat, sehingga karakteristik rod drop dapat dianalisis secara lebih representatif. Hasil penelitian ini menunjukkan bahwa data IRL masih relevan untuk analisis reaktivitas pada kondisi perubahan daya lambat, namun untuk analisis transien cepat diperlukan database baru dengan resolusi waktu yang lebih tinggi agar hasil perhitungan reaktivitas lebih akurat dan andal.

This study evaluates the reliability of Internet Reactor Laboratory (IRL) data for period and reactivity calculations in the TRIGA Kartini Reactor and compares the results with reference data obtained from the reactivity computer. The data were collected from control rod reactivity measurements at low reactor power of approximately 10 W, including regulating, shim, and safety rods. Reactivity calculations were performed using the doubling time method for relatively slow power changes, while fast transient conditions such as rod drop were analyzed using a power ratio approach. The results show that at intermediate control rod positions, IRL data can adequately represent reactor power changes, resulting in good agreement with reactivity computer data and relatively low errors. However, at near fully inserted rod positions and during rod drop events, significant errors were observed due to the limited time resolution of IRL data (1.6–1.7 s). To address this limitation, a new database derived from raw Compensated Ion Chamber (CIC) signals with higher time resolution was utilized, providing more accurate analysis of fast transients. The study concludes that IRL data are suitable for slow transient analysis, while fast transient analysis requires higher-resolution data.

Related Organizations
Keywords

rod drop, Reaktivitas, Period, reactivity computer, Internet Reactor Laboratory (IRL)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average