This paper aims to examine the effect of crude oil price volatility, the internet, and inflation on economic growth in ASEAN-5 countries (Indonesia, Malaysia, the Philippines, Singapore, and Thailand). To test this effect, we use the panel Autoregressive Distributed Lag model and panel data with annual time series for the period from 1995 to 2018. The test results show that only the internet affects economic growth in the long run, and this effect is positive. Meanwhile, in the short run, there is an impact of crude oil price volatility, the internet, and inflation on economic growth in all ASEAN-5 countries. However, the effect of inflation on economic growth only exists in Indonesia, the Philippines, Singapore, and Thailand.

Abstract. Pap test is a cervical cancer screening manually and requires a long time that it needs an exact cell classification system based computers. Features determination by observation in characteristic differences between the datasets visually betweenclass will help a cell classification results which has relevant characteristics between classes. In addition, the change in orientation of the cells at the time of the acquisition will affect the value of the generated feature so extraction method that is rotation invariant is needed to overcome that problem. This research proposes the combination of simple shapes feature and the texture feature from extraction Local Binary Pattern Histogram Fourier (LBP-HF) that invariant to rotation as additional features to classify pap smear images. The result show that the proposed feature combination yield good performance with accuracy 92.44% for two category cell and 70.06% for seven class cell.Keywords: classification, lbp-hf,  pap smear image, shape feature. Abstrak. Pap test adalah pemeriksaan kanker serviks secara manual yang membutuhkan waktu yang lama sehingga dibutuhkan sistem klasifikasi sel berbasis komputer yang tepat. Penentuan fitur melalui observasi pada perbedaan ciri antarkelas secara visual pada dataset akan membantu hasil klasifikasi sel untuk mendapatkan ciri yang relevan antarkelas. Selain itu, adanya perubahan orientasi sel pada saat akuisisi akan mempengaruhi nilai fitur yang dihasilkan sehingga dibutuhkan metode ekstraksi fitur yang invariant terhadap rotasi. Penelitian ini mengusulkan penggabungan fitur bentuk sederhana dan fitur tekstur dengan ekstraksi fitur Local Binary Pattern –Histogram Fourier yang invariant terhadap rotasi sebagai ciri tambahan dalam mengklasifikasikan citra pap smear. Hasilnya menunjukkan bahwa kombinasi fitur menghasilkan performa yang baik dengan akurai 92,44% untuk dua kategori sel dan 70,06% untuk tujuh kelas sel.Kata Kunci: klasifikasi, lbp-hf, citra pap smear, fitur bentuk.

This paper seeks to examine the influence of crude oil prices volatility, the internet, and exchange rate on the number of foreign tourist arrivals in Indonesia. Using a time-series dataset from 1995 to 2018 and employing an autoregressive distributed lag (ARDL) model plus an error correction model (ECM-ARDL), our research shows that in the long run, the internet has a positive influence on the number of foreign tourist arrivals. Every 1% rise in the internet, the number of foreign tourist arrivals rises by 0.49%. However, crude oil prices volatility and exchange rates do not significantly affect the number of foreign tourist arrivals. In the short run, there is a negative influence of crude oil price volatility on the number of foreign tourist arrivals. Meanwhile, the exchange rate positively affects the number of foreign tourist arrivals, meaning that the appreciation (depreciation) of the IDR exchange rate against the USD causes the number of foreign tourist arrivals to go down (up).

Inward foreign direct investment indirectly or directly affect economic growth through various means. For instance, the direct effect might be attributed to production factors, while information and communication technology changes are linked to the indirect effect. This study aimed to examine the impact of direct and indirect inward foreign investment and information and communication technology on Indonesian economic growth. The data was collected from the annual time series from 1994 to 2019. Furthermore, an autoregressive distributed lag model was used to analyze the data and provide accurate conclusions. The results showed that short-term and long-term inward foreign direct investment and information and communication technology significantly affects Indonesian economic growth. In the long term, the direct and indirect effects of inward foreign direct investment are negative and positive, respectively. However, the long-term effect of information and communication technology on economic growth is positive.

The implementation of information technology is compulsory to fit organizational goals. This research aims to evaluate the quality of information technology services at the Population and Civil Registry Office at Kolaka District based on COBIT 5 Framework that focused on DSS (deliver, service and support) domain by measuring the Maturity Level using Process Assessment Model (PAM). The Population and Civil Registry Office is under the local government ‘s auspices which is essential in managing the population. The data collection method was done by distributing questionnaires and conducting interviews. This study used 8 (eight) respondents based on the RACI chart. This research was expected to reach level 3 (established process) to create IT governance that fits organizational goals and international standards. From the research result, it is known that the maturity level from the evaluation process conducted by COBIT 5 using the processes DSS-01, DSS-02, DSS-03, DSS-04, DSS-05, and DSS-06 were as follows: 2 processes were at level 1 (performed process), namely the DSS-05 and DSS-06 while the others (DSS-01, DSS-02, DSS-03, and DSS-04) were at level 2 (managed process).