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All Journal Jurnal Al-Tadzkiyyah BAREKENG: Jurnal Ilmu Matematika dan Terapan
Deden Makbuloh
Universitas Islam Negeri Raden Intan Lampung
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Energy Engineering Mathematics Mechanical Engineering Physics Transportation

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Rencana Pengembangan dan Kesiapan Sivitas Akademika UIN Raden Intan Lampung Menuju AUN-QA Deden Makbuloh; Sucipto Sucipto; ruswanto ruswanto
Al-Tadzkiyyah: Jurnal Pendidikan Islam Vol 8, No 2 (2017): Al-Tadzkiyyah: Jurnal Pendidikan Islam
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (234.964 KB) | DOI: 10.24042/atjpi.v8i2.2252

Abstract

Raden Intan Lampung State Islamic University (UIN RIL) as a State Islamic Religious College in Indonesia needs to gradually carry out various efforts to improve the quality of continuing education. The long-term quality of UIN RIL does not only cover national level competition, but also internationally. This study aims to examine the quality improvement process that has had a development and readiness plan for AUN-QA for the Academic Community of UIN RIL. Data collected is qualitative data. In accordance with the research design in order to find an overview of the planned development of UIN RIL and its readiness towards AUN-QA. The data sources in this study were taken from strategic planning documents and the opinions of the academics. Techniques for collecting data through documentation studies, deep interview, and participant observation. Non-structured interviews, so that data sources actively construct the cognitive world, and researchers try to capture the realm of that meaning. Analysis of data is collected simultaneously while collecting data with the principle of verstehen. The results of the study concluded that since the form changed from IAIN to UIN RIL development plans were discussed which were discussed in several stages and involved various stakeholders directed to the campus as an international reference. This can be seen in the vision, mission and objectives of UIN RIL. Likewise in priority programs and target targets there are points towards international scale achievements. The academics have welcomed with joy the change in form of IAIN to UIN RIL. All have stated that this is an opportunity to further develop the campus to reach international competition. Thoughts and energy were mobilized to develop UIN RIL towards becoming superior and competitive.
PREDIKSI PENCURIAN SEPEDA MOTOR MENGGUNAKAN MODEL TIME SERIES (STUDI KASUS: POLRES KOTABUMI LAMPUNG UTARA) Meli Pranata; Dian Anggraini; Deden Makbuloh; Achi Rinaldi
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 3 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (739.924 KB) | DOI: 10.30598/barekengvol14iss3pp425-434

Abstract

Crime is a crime that violates the laws of a country or violates the norms in force in society. Theft is a form of crime. The impact of theft is a feeling of insecurity, fear and insecurity. One model used to predict the number of theft cases is the time series model. A time series model is a set of values ​​observed in an activity, event, or event where data is then arranged in chronological order. Generally, in intervals of the same length. This study aims to model the data of criminal acts of motorcycle theft in North Lampung Police with Autoregressive (AR), Moving Average (MA), and Autoregressive Integrated Moving Average (ARIMA) models. Furthermore, the best models will be used for forecasting for the next 6 months. The results of the AR model (1), AR (3) model, MA model (1), ARIMA (1,1,1), and ARIMA model (3,1,1). The MA model (1) has a significant parameter coefficient, fulfills diagnostic tests and has the smallest RMSE and AIC values ​​with an RMSE value of 6.5612926 and an AIC value of 394.82. The predicted results of the MA model (1) for the next 6 months tend to be horizontally different from the original data which tends to decrease.
Co-Authors Achi Rinaldi Dian Anggraini Meli Pranata ruswanto ruswanto Sucipto Sucipto