Ardiyan Rofiq Mulyana
Elektronika dan Instrumentasi, FMIPA, UGM

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ROPADAS (ROBOT PRAMUSAJI CERDAS) BERBASIS LINE FOLLOWER SYSTEM Mulyana, Ardiyan Rofiq; Yahya, Luthfi; Khoirunnisa, Rilla; Tamara, Claricha Audi
Program Kreativitas Mahasiswa - Teknologi PKM-T 2013
Publisher : Ditlitabmas, Ditjen DIKTI, Kemdikbud RI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (152.223 KB)

Abstract

Often times, the waiter exhausted, tired and bored in their duties and lead to faulty work. Robots that will be made is a mobile robot that is based intelligent robot line follower waitresses who will follow the specified trajectory line towards the customer tables ordering food.Making intelligent robot waiter consists of 3 stages. First, hardware, software and mechanics design. Secondly, manufacturing system consisting of electronic, mechanical design and system programming. Third, troubleshooting and refinement tool to make sure tools can work well. This robot will follow the black track line from kitchen to the dining tables of customers.
Policy for Empowering Technology-Based Startup Companies within University-Based Incubators Mulyana, Ardiyan Rofiq; Putra, R. Ahmad Romadhoni Surya; Djunaedi, Achmad; Faristasari, Selvi
JOURNAL OF HUMANITIES, SOCIAL SCIENCES AND BUSINESS Vol. 5 No. 1 (2025): NOVEMBER
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/jhssb.v5i1.2016

Abstract

Technology‑based startups play a critical role in driving innovation and economic growth, yet they remain highly vulnerable to early failure due to limited capital, weak managerial capacity, and insufficient market access. University‑based business incubators have emerged as strategic ecosystems to nurture these startups by providing facilities, mentoring, training, and access to research networks and funding. This study aims to analyze the effectiveness of university business incubator policies in strengthening technology‑based startup companies, using the 7S framework (Space, Shared, Service, Support, Skill Development, Seed Capital, and Synergy) as the analytical lens. An exploratory sequential mixed‑methods approach was employed, beginning with qualitative interviews and observations, followed by quantitative surveys of 40 tenants (20 from a public university and 20 from a private university). The integrated findings reveal that the public university incubator (UGM) demonstrates stronger performance in service, support, skill development, and synergy, while the private university incubator (UII) shows relative advantages in space, shared facilities, and seed capital. Although all seven policy factors are generally effective, their priority differs across institutional contexts. These results highlight the need for differentiated policy design that recognizes the distinct strengths of public and private university incubators, while establishing the 7S framework as a national benchmark for evaluating startup incubation policies.