Tamansiswa (UST) adalah program multi-tahun yang disediakan oleh Direktorat Penelitian dan Pengabdian kepada Masyarakat, Kementerian Riset, Teknologi, dan Pendidikan Tinggi untuk meningkatkan jumlah wirausaha mahasiswa di UST. Program ini telah berjalan selama dua tahun (2017 dan 2018) di UST, dan telah melibatkan berbagai pihak seperti pelajar, mentor, dan pemangku kepentingan eksternal. Agenda utama program ini adalah pelatihan manajemen dan kewirausahaan, lokakarya pengembangan produk, inkubator bisnis, pendanaan, dan pameran. Program kewirausahaan yang dijalankan di UST pada 2017 dan 2018 telah menghasilkan 21 bisnis tahap awal dengan persentase terbesar adalah sektor kuliner sebesar 62%, dan diikuti oleh sektor kerajinan / kreatif dalam persentase terbesar kedua sebesar 24%, sektor mode pada 9% dan yang lainnya 5%. Selain itu, penyewa yang diawasi dalam program ini juga telah disertifikasi sebagai sertifikat produksi makanan industri rumah tangga (P-IRT) untuk dua penyewa dan penyewa lain telah menerima perjanjian kemitraan dengan perusahaan tingkat nasional. Dalam implementasi tahun ke-3, program ini akan fokus pada adopsi sains dan teknologi di tahap inovasi produk, tahap produksi, dan tahap pemasaran.

Communication skill is a human basic ability to interact with one another. People usually have no difficulties in communication, yet not for deaf people. The basic communication ability of deaf people tends to be poor due to their hearing impairment. Thus, the technological role is an effective way to enhance communication skill for deaf people or so-called as assistive technology. This study generated a house of quality (HOQ) matrix which can be adopted to develop an assistive technology in the form of language instructional media. The HOQ matrix generated significantly contributes to translating from profound need analysis to assistive technology features to enhance communication ability through Indonesian language competencies for deaf students at elementary school. The user needs were formulized from a preliminary assessment at previous research which took twelve best deaf students from three special elementary schools in Special Region of Yogyakarta, Indonesia. This study has found that the priority of assistive technology development is visual and interactive media, either application or educational game, which comprises the vocabulary of concrete thematic nouns and non-affix transitive verbs and composing a simple sentence. Therefore, the HOQ generated is particularly noteworthy for Indonesian language major competencies by deaf students, which are: understanding reading text skill, writing, and speaking.

In today’s competitive world, companies are required to increase productivity and produce high-quality products while managing their operational efficiency. This leads a firm to involve its performing suppliers by taking into account multiple factors. For small and medium-sized enterprises (SMEs), despite its importance, supplier selection is less considered. In this study, a case study for evaluating supplier selection factors in a small-medium scale paper manufacturer in Indonesia is demonstrated using the fuzzy best-worst method (fuzzy BWM). The BWM method that provides a structurally consistent factors comparison through the best and the worst criteria is extended using a fuzzy set to address the ambiguity from decision-makers’ judgement. The evaluation includes five supplier criteria: service, flexibility and delivery, reputation, quality, and purchasing cost. To determine the fuzzy criteria’ weights, the nonlinearly constrained optimization problem was introduced. The result indicated that the best and the worst criteria were respectively service and purchasing cost, while the service criterion was weakly crucial than quality. Besides, the Fuzzy BWM has also provided high consistency in the comparison. The optimal weights determined in this study can be applied for ranking suppliers for further attempts.

An advanced public transportation system becomes an indicator for a country. Accordingly, it is essential that the decision-makers (DMs) conduct an initial study based on passengers’ view in order to improve the public transportation services. Since involving multi factors, the problem is often solved using the multi-criteria decision-making (MCDM) approaches. This study aims to examine significant factors on passengers decision making to use public transportation using Fuzzy AHP and DEMATEL. The Fuzzy AHP method is proposed to determine criteria weights so that significant critera are obtained, then the causal relations including the criteria are visualized using DEMATEL. This study demonstrates the integration of the two MCDM methods in a BRT system in the region of Yogyakarta, Indonesia, and invites passengers and the DMs. The result indicated that 21 criteria are identified, while the 11 significant criteria are selected based on the Fuzzy AHP weight – α-cut screening. Besides, the DEMATEL has succeeded in describing the influence relationship for the criteria, where firstly, the significant criteria are classified into cause and effect group and secondly, the two criteria, namely coverage to strategic points and on time arrival, should be put on the top priority list. This study enables the DMs to solve public transportation problems more effectively. However, the follow-up study should be carried out by including other factors such as economic and sustainability to strengthen the decision-making process.

In a running business, it is common for companies to face some challenges. One of them is related to supply chain performances, especially product distribution. Companies often have a problem determining the distribution route from the origin (warehouse) to the destination (consumer). This research will discuss the distribution route in a case study at a logistics service provider in Yogyakarta. The problem is that each courier does not have a fixed distribution route, causing couriers to overload and less effective when distributing goods to consumers. To solve this problem, we created a delivery zone for each courier done in previous studies using courier assignment optimization to minimize mileage. Furthermore, based on the zones that have been created, we determined the route using the classical vehicle routing problem (VRP) mathematical model to minimize travel time in this study. Based on the results obtained, couriers not only reduce mileage but also travel time, which makes this distribution route more optimal. Later, a vehicle routing problem with a time window can be carried out and compared with the current VRP for further research.