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All Journal Statistika Jurnal Berkala Ilmu Perpustakaan dan Informasi BACA: Jurnal Dokumentasi dan Informasi
Aris Yaman
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Library & Information Science Mathematics

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Identifikasi kecakapan inovasi lembaga riset di Indonesia berbasis dokumen Yaman, Aris; Sartono, Bagus; Sholeh, Agus M.
Berkala Ilmu Perpustakaan dan Informasi Vol 16 No 2 (2020): Desember
Publisher : Perpustakaan Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/bip.v16i2.424

Abstract

Introduction. Duplication in inventions produced by research institutions in Indonesia becomes an issue. It is important to map the specialization of the invention in research institutions. This study examines the mapping of the innovation in research institutions in Indonesia. Data Collection Method. This study uses a patent-based technology document analysis method to map the potential of technology. The data used is patent data registered in the Direktorat Jenderal Kekayaan Intelektual (DJKI) database. Data Analysis. Metadata analysis was conducted by using the K-Means Klastering method with R software. Results and Discussions. The findings in the pre-analysis show that when the independent variable involved in the model are very large, the Localized feature selection method can effectively select variables without losing much information. There are 5 dominant technology groups that can be produced by research institutions in Indonesia, namely 1) Technology related to the development of measurement and testing instrument technology; 2) Technologies related to food and food ingredients; and 3) microstructural test equipment / detectors; 4) radar technology; 5) Technology in agriculture. Conclusion. The findings show that there are still overlapping inventions by several research institutions in the same technology cluster. K-means clustering with LFSBSS pre analysis has a clear performance in the technology cluster space.
ANALISIS JARINGAN SOSIAL PADA ARTIKEL TERKAIT USAHA KECIL DAN MENENGAH DI INDONESIA Aris Yaman
BACA: JURNAL DOKUMENTASI DAN INFORMASI Vol 38, No 1 (2017): Juni
Publisher : Pusat Data dan Dokumentasi Ilmiah – Lembaga Ilmu Pengetahuan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1147.627 KB) | DOI: 10.14203/j.baca.v38i1.285

Abstract

The amount of contribution of SMEs to be balanced by a reception with great competitiveness. Innovation is a way of improving competitiveness. Contributions researchers and academics can be seen from innovations made through scientific publications. The government should provide incentives to researchers who focus on the development of Indonesian SMEs to improve the nation's competitiveness. Due to budget constraints, the government needs to streamline and streamline the budget incentives for research related to SMEs Indonesia. In addition to seeing the productivity aspects of scientific publications, is necessary to study the centrality of a writer/agency relationships in social network analysis co-authorship. In terms of productivity Institut Teknologi Bandung (ITB) become the most productive agencies to publish articles related to SMEs Indonesia. Judging from the social networking aspect, the University of Indonesia became the central figure in scientific publications related to SMEs Indonesia. Thus, social network analysis co-authorship relations can be used as another aspect in determining the actor/isntansi influential scientific publications related to SMEs in Indonesia.
TINJAUAN PUSTAKA SISTEMATIS PADA BASIS DATA PUSTAKA DIGITAL: TREN RISET, METODOLOGI, DAN COVERAGE FIELDS Aris Yaman; Ambar Yoganingrum; Yaniasih Yaniasih; Slamet Riyanto
BACA: JURNAL DOKUMENTASI DAN INFORMASI Vol 40, No 1 (2019): Juni
Publisher : Pusat Data dan Dokumentasi Ilmiah – Lembaga Ilmu Pengetahuan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.baca.v40i1.481

Abstract

The characterization of digital databases is needed to make it easier for academics to identify scientific literature properly and efficiently. This literature review intends to provide characterizations and descriptions related to research trends, methods and coverage fields studied in research related to the scientific database of scientific literature from around 2007 to the present (January 2019). By applying the specified inclusion and exclusion criteria, 54 relevant studies were chosen to be studied further. The systematic literature review method was applied in this study to analyze and identify previous studies related to this topic. Based on the selected primary literature there is an increasing trend of studies related to the scientific database of scientific literature. In addition, we can see that there are four of the most influential and influential publication journals related to this topic, namely the Journal of Informetrics, Journal of Cleaner Production, Asian Social Science and Journal of Academic Librarianship which are characterized by high levels of productivity issues related to the topics studied and SJR values rank is in the range Q1. Most of the studies were conducted on Scopus digital database (41%), Web of Sciences (WoS) 38% and Google Scholar (GS) 13% and the rest spread in other publication journals. The results of this study also identified that Scopus is a scientific database which has the most varied coverage fields compared to other digital database scientific literature. WoS is a digital database of scientific literature that has proven to have a paper with a higher impact factor than others. GS has the predicate digital database with the largest collection level.
Analisis Risiko Operasional Bank XXX dengan Metode Teori Nilai Ekstrim Anik Djuraidah; Pika Silvianti; Aris Yaman
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 11, No 2 (2011)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v11i2.1054

Abstract

Bank in its operations are always exposed to risks that are closely related, because of its position as afinancial intermediary institutions. One of the risks which arise when this is operational risk.Operational risk to be one additional factor that must be measured and taken into account in theminimum capital adequacy, in addition to credit and market risk. There are three approaches forsetting capital charges for operational risk, are Basic Indicator Approach, Standardized Approach andAdvanced Measurement Approach. This research used the Advanced Measurement Approach inparticular the use of Extreme Value Theory (EVT) to measure the bank XXX operational risk, this isbecause the distribution of operational risk data have a tendency panhandle. Extreme valueidentification method used is the Peaks over Threshold (POT) method. The results showed that theamount of funds bank XXX must reserve to cover the possibility of operational risk in the period of2010 amounted to Rp 737,210,874, - at 99.9% confidence level. Backtesting results demonstrate thatviable models to be used as a means of measuring operational risk by 99.9% confidence level, for alltypes of operational risk events.
Co-Authors Ambar Yoganingrum Anik Djuraidah Bagus Sartono Pika Silvianti Sholeh, Agus M. Slamet Riyanto Yaniasih Yaniasih