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All Journal Jurnal Statistika Universitas Muhammadiyah Semarang Social Economics and Ecology International Journal (SEEIJ)
Syarifah Diana Permai
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Social Sciences Other

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UNTUKMU.COM : THE CROWDSOURCING APPLICATION TO LEVERAGING THE USED OF SECONDHAND GOODS Arifin, Yulyani; Permai, Syarifah Diana; Pudjihastuti, Herena; Dwiputra, Kristian; Faisal, Fiandra Rheza; Marcellino, Marcellino
Social Economics and Ecology International Journal Vol 2, No 2 (2018): October
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/seeij.v2i2.5635

Abstract

Information technology can be used in profit or non-profit activities. The concept of crowdsourcing has been widely used in fundraising in the form of money, better known as crowdfunding. In general, most people has secondhand items that are still good to use by others. On the other hand, there are also many people who need those items but cannot afford to buy them. A Website application with the Crowdsourcing concept can be used to bring together donors with recipients of donations in the form of goods.This study conducted data collection to assess the needs of application through questionnaires and analyzed the data using descriptive statistical analysis and Chi Square independence tests, and then developed a website-based application untukmu.com.  This study examined the relationship between age, type of work and intention to donate and the type of goods needed. The Chi Square independence test showed that there is no relationship between age and type of work to the intention to donate.  The descriptive statistics analysis showed that the majority (82%) of the types of goods usually donated by the donors are clothing. The results of the analysis provides input for the development of the application Untukmu.com. In the last stage, the study evaluated the level of satisfaction of the users (i.e. the donors) based on the level of ease of using the application and the time needed to master the application. The analysis showed that there is no relationship between the ease of use of the application and the donors satisfaction,  but there is relationship between time needed to master the application to the user satisfaction. Untukmu.com application has a good usability level since users have no difficulty in using this application and are satisfied with the features available in the application.
PEMODELAN KECEPATAN ANGIN RATA-RATA DI SUMENEP MENGGUNAKAN MIXTURE OF ANFIS Syarifah Diana Permai; Nur Iriawan; - Irhamah
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 1, No 2 (2013): Jurnal Statistika Universitas Muhammadiyah Semarang
Publisher : Department Statistics, Faculty Mathematics and Natural Science, UNIMUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (713.947 KB) | DOI: 10.26714/jsunimus.1.2.2013.%p

Abstract

Angin memiliki dampak positif dan dampak negatif. Dampak positif dari angin yaitu memperlancar aktivitas pelayaran, membantu irigasi menggunakan kincir angin,pembangkit tenaga listrik dan lain sebagainya. Namun perubahan cuaca yang ekstrim akhir-akhir ini dapat menimbulkan angin kencang serta gelombang laut yang tinggi, sehingga menghambat pelayaran. Salah satu kabupaten yang mengalami dampak negatif ini adalah Sumenep, daerah pesisir di Pulau Madura. Oleh karena itu diperlukan pemodelan kecepatan angin rata-rata di Sumenep yang akurat. Dua metode yang diterapkan adalah Adaptive Neuro Fuzzy Inference System (ANFIS) dan Mixture of ANFIS. Mixture of ANFIS dilakukan melalui beberapa pembagian kelompok, yaitu dua, tiga, empat, lima dan enam kelompok. Evaluasi perbandingan kebaikan model dilakukan berdasarkan kriteria Root Mean Square Error (RMSE). Hasil evaluasi menunjukkan bahwa pemodelan kecepatan angin rata-rata menggunakan mixture of ANFIS dengan enam kelompok memiliki RMSE in sample dan out-sample lebih kecil daripada jumlah kelompok yang lain. Mixture of ANFIS memodelkan kecepatan angin rata-rata di Sumenep lebih baik dari ANFIS karena menghasilkan RMSE in dan out sample yang lebih kecil dari ANFIS. Kata kunci : Kecepatan Angin, ANFIS, Mixture of ANFIS
Co-Authors Arifin, Yulyani Dwiputra, Kristian Faisal, Fiandra Rheza Irhamah - Marcellino, Marcellino Nur Iriawan Pudjihastuti, Herena