The development of small and medium enterprises (SMEs) becomes the benchmark and leading position for developing countries’ economies. The digital transformation demands strategies, desires, and awareness of Information Technology (IT)-based market players and investments. Despite the transformation of a digital business platform, many SMEs have stumbled in the middle road. Therefore, this study aimed to determine priority indicators in assessing SMEs’ readiness towards digitalization and evolving a readiness model for SMEs based on the Decision Support System (DSS) approach. Multiple stakeholders’ viewpoints, particularly regarding academicians, governments, investors, market places, and SMEs’ business actors as targeted respondents, were scrutinized quantitatively and qualitatively to verify the proposed factors. The priority weights of factors have been examined from economic and IT perspectives and derived through deploying the Fuzzy Analytical Hierarchy Process (F-AHP) method. This study reveals the rank of measures necessary to assess the readiness of the digital revolution of SMEs. Transaction preparedness in SMEs’ cultural, educational, financial, and technological infrastructure views grows into the principal components during this assessment with 0.30 of vector value, accompanied by marketing and micro-environment at 0.24, management at 0.20, macro-environment at 0.03 and business activities at 0.02, respectively. For the recommendation purposes, the rubric segmented SME fitness into three levels, low, middle, and high performance. The prototype system DSS-SMEsReadiness was then evolved in order to simplify the adoption of the DSS method in the SME performance measurement model. The software analysis demonstrates that this application would assist decision-makers to ascertain SMEs’ readiness to digitalize. The future recommendation provides SMEs and stakeholders with knowledge transfers and acclimatization for taking the appropriate option about their business strategy, management resources, skills, and assistance programs for SMEs. This model attempts to reduce SME digitalization disruptions and achieve a digital business’s growth and sustainability in a nutshell.
Measuring organizational performance is pivotal for a comprehensive understanding of strengths, weaknesses and to improve the quality of any organization's performance. Balanced Scorecard (BSC) is the strategic evolution tool that is widely used to measure the organizational performances, and achievements from various aspects, both financial and non-financial. In this research, BSC was not only a straight jacket concept but also a high potential tool for measuring and managing tangible and accurate data through the application of several methods. This research weighted the variables of BSC based on significance values of Analytical Hierarchy Process (AHP) and Optimization of Measurement with Objective Matrix (OMAX). Moreover, a recommendation analysis was given based on the cause and effect analysis of variables and the achievement of Key Performance Indicators (KPIs). The flow of information, data, and performance measurement processes were designed into Business Intelligence (BI) software development i.e. BI-MonevDash. The framework and software BI-MonevDash proposed can be used as a new chosen tool for measuring and monitoring organizational performance. Recommendations could facilitate the leaders in decision making to improve the organizational performance and reduce risks.
Upaya indonesia untuk meningkatkan sektor industri terganjal dengan bahan baku, dimana 64% bahan baku diperoleh secara impor. Hal ini merugikan pelaku industri yang dalam transaksi impor menggunakan dolar. Untuk menghindari kerugian tersebut dibuatlah model untuk memprediksi nilai kurs pada periode berikutnya untuk menentukan waktu yang tepat untuk membeli bahan baku menggunakan model multiple regression dengan basis data Oktober 2015 sampai Juli 2016. Variabel inflasi, suku bunga, ekspor, impor dan pendapatan negara digunakan sebagai input untuk membangun model multiple regression. Dari input tersebut didapatkan model y = Y = 10.069,111 + 252,064 x Inflasi + 571,387 x Suku Bunga - 0,140 x Ekspor – 0,059 x Impor + 0,002 x Pendapatan Negara dengan nilai MAD 66,96 dan MAPE 0,005. Dari model tersebut pada bulan agustus didapatkan nilai Rp 13.382,07 per 1 US$, bulan september sebesar Rp 13.228,97 dan bulan oktober sebesar Rp 13.410,94 per 1 US$. Diharapkan hasil penelitian ini dapat bermanfaat bagi pelaku industri yang mendapatkan bahan baku dengan impor.
Sistem informasi akademik merupakan media yang dapat membantu proses berjalannya kegiatan akademik. Kelancaran proses akademik dipengaruhi oleh kualitas sistem informasi yang dimiliki. Sistem dapat dikatakan memiliki tingkat usability yang tinggi apabila pengguna bisa memperoleh apa yang mereka butuhkan dan mengerti dengan sistem tersebut. Universitas Muhammadiyah Riau menerapkan sistem informasi untuk membantu proses akademiknya yaitu SIAM. Saat ini, terdapat beberapa kendala dalam mengakses sistem tersebut. Kendala tersebut berasal dari beberapa kekurangan yang dimiliki oleh sistem tersebut. Oleh karena itu, penelitian ini bertujuan untuk mengidentifikasi permasalahan pada SIAM, mengetahui tingkat usability nya, dan memberikan rekomendasi perbaikan SIAM. Penelitian ini dilakukan dengan menggunakan metode System Usability Scale (SUS). Hasil yang diperoleh adalah SIAM memiliki skor SUS sebesar 72,27 yang berarti bahwa SIAM sudah acceptable, memiliki skala nilai C+ dan memiliki rating good atau baik serta nilai percentile rank berada pada nilai 63,34. Pada identifikasi masalah diketahui bahwa fungsi dan fitur pada SIAM dinilai masih belum dirancang dengan baik dan memiliki banyak inkonsistensi. Oleh karena itu diberikan beberapa rekomendasi perbaikan yang diharapkan dapat dijadikan sebagai rujukan bagi tim pengembang sistem dalam melakukan perbaikan usability sistem sehingga SIAM memiliki tingkat usability yang tinggi dan dapat mencapai kepuasan pengguna.
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