cover
Contact Name
Yuni Wibawanti
Contact Email
stringinformatika@gmail.com
Phone
+6281617239740
Journal Mail Official
stringinformatika@gmail.com
Editorial Address
Prodi Teknik Informatika FTIK Universitas Indraprasta PGRI Jl. Raya Tengah Kelurahan Gedong , Pasar Rebo, Jakarta Timur
Location
Kota adm. jakarta selatan,
Dki jakarta
INDONESIA
STRING (Satuan Tulisan Riset dan Inovasi Teknologi)
Core Subject : Science, Education,
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) focuses on the publication of the results of scientific research related to the science and technology. STRING publishes scholarly articles in Science and Technology Focus and Scope Covering: 1. Computing and Informatics 2. Industrial Engineering 3. Electrical Engineering 3. Mechanical Engineering 4. Applied Mathematical 5. Physics (Classical and modern) 6. Mathematics and Science
Articles 12 Documents
Search results for , issue "Vol 2, No 3 (2018)" : 12 Documents clear
Perbandingan Metode-metode Peramalan Statistika untuk Data Indeks Harga Pangan Aris Gunaryati; Fauziah Fauziah; Septi Andryana
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 2, No 3 (2018)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (174.08 KB) | DOI: 10.30998/string.v2i3.2200

Abstract

The food issue is very important to predict the price of food, especially rice, in the future. This is because rice is the Indonesian staple food, the price of which must be always made stable and affordable for the community. Therefore, it is necessary to make a proper forecasting model to know the approximate price of rice in the future. The forecasting method that is often used in researches is a quantitative forecasting method with time series data. This research is conducted to make comparison among the statistic forecasting methods, namely trend analysis, exponential smoothing and decomposition to analyze the development of average rice price at Indonesian wholesaler level from 2010 to 2016.  The existing data shows that the most suitable forecasting model for the average data of rice price at Indonesian wholesaler level in 2010 to 2016 is Double Exponential Smoothing (Brown), with MSE level of 188,086.086. and that the prediction about average rice price in 2017 reaches Rp. 11600,- with the actual price of Rp. 11534,-
Sistem Pendukung Keputusan Kenaikan Jabatan Menggunakan Metode Profile Matching Dian Nur Solihaningtias
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 2, No 3 (2018)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (296.525 KB) | DOI: 10.30998/string.v2i3.2437

Abstract

With global information technology growing more rapidly, there are more and more people taking advantage of it to do their various activities or to solve their various problems. One of the problems is the filling of vacant positions in the promotion process that is often difficult to do due to the submission of candidates suitable for the positions by matching employee profiles and positions profiles is less thoroughly defined. To minimize the problem, a decision support system is needed to analyze some employees matching the existing position profiles. Profile Matching is conducted to make a recommendation on employees in the promotion and career planning systems by calculating sub criteria of each aspect (work attitude and intellectual capacity) consisting of 4 stages, namely GAP score calculation, core and secondary factor score calculation and total score and ranking calculation. The result of this study is a recommendation on employees with the highest score based on the calculation using the method.

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