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"Pengelolaan sistem dan teknologi informasi di PT Astra International Tbk (Astra) merupakan tanggung jawab dari Divisi Corporate Information System and Technology (CIST). Dari hasil pengamatan terhadap dokumentasi yang dimiliki oleh Divisi CIST terkait dengan pengerjaan proyek-proyek Teknologi Informasi (TI) dari tahun 2015 hingga 2019 diketahui terdapat berbagai macam kendala yang dihadapi dalam proses pengerjaan proyek-proyek TI di Astra yang menyebabkan proses pengerjaan beberapa proyek mengalami keterlambatan dari waktu yang sudah dijadwalkan. Rata-rata persentase jumlah proyek-proyek TI di Astra mulai dari tahun 2015 hingga 2019 yang mengalami keterlambatan berada pada angka 19%. Dari hasil pengumpulan dan pengolahan data faktor risiko yang berasal dari referensi berbagai artikel jurnal menggunakan metode Systematic Literature Review (SLR) ditemukan 14 faktor risiko yang terkait dengan pengerjaan proyek Teknologi Informasi (TI) yang dikelompokkan ke dalam empat kategori yaitu kategori orang, proses, teknologi dan kondisi lingkungan di luar proyek. Penyebaran kuesioner kepada responden yang bekerja di tempat studi kasus digunakan untuk menentukan nilai signifikansi risiko dari hasil perkalian dari nilai probabilitas dan dampak dari tiap-tiap faktor risiko untuk selanjutnya digunakan untuk menentukan urutan peringkat faktor risiko. Dari hasil penyebaran kuesioner pada 39 orang responden terdapat tiga faktor risiko dengan nilai signifikansi risiko sangat tinggi, sepuluh faktor risiko dengan tingkat signifikansi tinggi dan satu faktor risiko dengan tingkat signifikansi sedang. Urutan dari tiap kategori risiko berdasarkan rata-rata nilai signifikansi dari hasil penyebaran kuesioner adalah proses, orang, teknologi dan kondisi lingkungan di luar proyek.

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Management of information systems and technology at PT Astra International Tbk (Astra) is the responsibility of the Corporate Information System and Technology (CIST) Division. From the observations of the documentation held by the CIST Division related to the work of Information Technology (IT) projects from 2015 to 2019, it is known that there are various kinds of obstacles faced in the process of working on IT projects at Astra which have caused the process of working on several projects to experience delays from the scheduled time. The average percentage of IT projects at Astra from 2015 to 2019 that experienced delays is 19%.

From the results of data collection and processing of risk factors derived from references to various journal articles using the Systematic Literature Review (SLR) method, it was found that 14 risk factors associated with working on Information Technology (IT) projects were grouped into four categories, namely categories of people, processes, technology and environmental conditions outside the project. The distribution of questionnaires to respondents who work in the case study sites is used to determine the significance value of the risk from the multiplication of the probability value and the impact of each risk factor and then it was used to obtain the ranking order of the risk factors.

From the questionnaire distribution results to 39 respondents, there are three risk factors with a very high-risk significance value, ten risk factors with a high significance level, and one risk factor with a moderate significance level. The order of each risk category based on the average significance value of risk factors from the results of the questionnaire distribution are process, people, technology, and environmental conditions outside the project."

"This article describes an empirical study of hybrid approach of quicksort algotihms."

"Site Specific Management (SSM), which also variously referred to as Variable Rate Technology (VRT), is an emerging technology that enables producers to make more precise input application decisions based on soil and field characteristics. This study analyzes factors influencing the adoption of VRT for fertilizer application for cash grain production in Ohio. Results show that producer and field characteristics might influence the adoption decision on various SSM components differently. It also provides insight as to the sequence of adoption of SSM component technologies and how this sequence might differ for producers of differing characteristics."

"ABSTRAKGenome Sequence Analysis for genetic datasets by using ORF (Open Reading Frames) techniques is an interesting area of research for bioinformatics researchers nowadays. There is a strong research focus on comparative analysis between genetic behaviors and diversity of different species. Contrary to whole genome sequence analysis, scientists are now trying to concentrate specifically on layered analysis to get a better insight of relevancy among genetic datasets. This phenomenon will help to better understand species. An ORF statistical analysis for genetic data-sets of species Chimera Monstrosa and Poly Odontidae is presented. For completion of this analysis, we use a hybrid approach that combines a generic mechanism for statistical analysis with specific approach designed for out performance. At first instance, genetic datasets are refined for better usage at next level. These sets are then passed through layers of filters that perform DNA to Protein translation. Statistical comparison is performed during this translation. This layered architecture helps in better understanding of the degree of similarity and differences in genomic sequences. "