UDC 551.44:556.33(594) Afid Nurkholis, Tjahyo Nugroho Adji, Eko Haryono, Ahmad Cahyadi & Slamet Suprayogi: Time series analysis application for karst aquifer characterisation in Pindul Cave karst system, Indonesia The karst hydrologic system in Pindul Cave can be categorised as 'binary' because it is recharged by the developed cave systems around it and by the Kedungbuntung ponor, which originates from an undeveloped karst system. The main objective of this study is to determine whether there are any differences in the aquifer characteristics that recharge to the Kedungbuntung ponor and the Pindul Cave outlet, using a time-series analysis approach. This analysis was conducted using univariate (autocorrelation) and bivariate (cross-correlation) statistical methods, which analyse data based on the domains of time (timebased analysis) and frequency (frequency-based analysis). Furthermore, the Master Recession Curve (MRC) calculation was conducted to confirm the time-series analysis result. Water level and rainfall data in both locations were recorded every 15 minutes over a six-month period (January-June 2017; N = 17,376). According to the time-series analysis, both locations were recharged by conduit, fissure and diffuse flow components; this observation was also confirmed by the MRC graphs which bore three components of recession. Comparison between the two locations showed that the Pindul outlet releases storage aquifers faster than Kedungbuntung. This condition may be caused by Izvleček UDK 551.44:556.33(594) Afid Nurkholis, Tjahyo Nugroho Adji, Eko Haryono, Ahmad Cahyadi & Slamet Suprayogi: Aplikacija analiz časovnih vrst za karakterizacijo kraškega vodonosnika z jamskim sistemom Pindul, Indonezija Kraški hidrološki sistem jame Pindul lahko označimo kot binarni, saj ga napajajo okoliški razviti jamski sistemi in ponor Kedungbuntung, ki se steka z nerazvitega kraškega sistema. Glavni cilj te študije je z uporabo analiz časovnih vrst ugotoviti, ali obstajajo kakršne koli razlike v značilnostih vodonosnika, ki napaja ponor Kedungbuntung, in tistim, ki napaja jamo Pindul. Ta analiza je bila izvedena z uporabo univariatnih (avtokorelacijskih) in bivariatnih (navzkrižno korelacijskih) statističnih metod, ki analizirajo podatke na podlagi časovnih in frekvenčnih vrst. Za potrditev rezultatov analiz časovnih vrst smo izvedli tudi izračun glavnih recesijskih krivulj (GRK). Vsakih 15 minut v šestmesečnem obdobju (januar-junij 2017; N = 17.376) so bili na obeh lokacijah zabeleženi podatki o vodostajih in padavinah. Glede na analizo časovnih vrst obe lokaciji napajajo komponente kanalskega, razpoklinskega in difuznega toka; to opažanje so potrdili tudi grafi GRK, ki kažejo na tri recesijske komponente. Primerjava med obema lokacijama je pokazala, da jama Pindul hitreje sprosti uskladiščeno vodo kot Kedungbuntung, kar je posledica kompleksnega kraškega sistema v kombinaciji z napajanjem iz ponora Kedungbuntung. Hkrati pa medsebojna korelacija praznjenja za