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"Batik crafting is a job done in a sitting position. The design of a stool itself affects the sitting position of workers using it. This paper proposes an optimal design for batik stool (dingklik) which is tested using the task analysis toolkit in the virtual environment with the JackTM 6.1 software. An anthopometric measurement is done to create the suitable dimension for all users of the batik stool. This research is conducted to reduce MSD found in previous research, by designing ergonomically friendly stool to support batik crafters. This improved design is proved to be ergonomically friendly due to the decreased PEI result compared to the current design."

"Terjadi peningkatan pesat dari tahun 2009 sampai 2012 pada lalu lintas penumpang dan barang di Bandar Udara Soekarno Hatta atau yang disebut dengan Soekarno Hatta International Airport SHIA. Hal ini juga menimbulkan meningkatnya pergerakan pesawat secara tajam. Data dari Kementerian Perhubungan menunjukan bahwa terjadi penundaan keberangkatan keterlambatan pada 15 20 penerbangan dari rata rata 1 125 penerbangan perharinya dengan waktu keterlambatan sebesar 15 menit sampai dengan 1 jam Kementerian Perhubungan menilai keterlambatan ini sebagai imbas dari bottleneck yang timbul di SHIA. Untuk itu perlu dianalisis maximum capacity throughput landasan pacu SHIA untuk melihat kapasitas optimal landasan dengan mempertimbangkan limitasi kapasitas infrastruktur saat ini dan standar keamanan pesawat terbang.

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From 2009 to 2012 there is a huge rise in the air traffic of Soekarno Hatta International Airport SHIA This is due to significant rise in the number of passengers and cargo The Ministry of Transportation mentioned that there is 15 20 delay of 15 minutes to 1 hour from the average 1 125 movements per day The ministry also mentioned that this delay is due to the bottleneck effect in SHIA. The current maximum flow in SHI. is 82 movements per hour which is below the heavy traffic limit of 87 movements per hour Jung Hoang Montoya Gupta Malik Tobias 2010 To overcome this problem there needs to be a recalculation of the maximum runway utilization or the maximum capacity throughput of the runway which considers infrastructure limitations and safety standards for aircrafts."

"[ABSTRAKDalam mengemudikan mobil, pengemudi harus membagi konsentrasi antara mengemudi dan mengamati ikon dalam mobil, untuk itu diperlukan ikon yang dapat dikenali dengan baik untuk mengurangi beban mental dan waktu operasi pengemudi mobil. Penelitian ini mengembangkan metode untuk mengidentifikasi penyebab ikon tidak dapat dikenali dengan baik, sehingga dapat menjadi masukan untuk pengembangan ikon baru. 34 ikon yang tidak dapat dikenali dengan baik dengan recognition rate dibawah 80% dalam penelitian sebelumnya oleh C.-F. Chi and Dewi (2014) diuji kembali kepada 14 pengemudi pengalaman melalui wawancara yang dilakukan oleh Hsieh (2014). Pendapat mengenai ikon mobil yang tidak dapat dikenali dengan baik disurvey berdasarakan 3 tahapan pemahaman ikon (Campbell et al, 2004) dan 3 aspek memahami objek alphanumerical (Sanders & McCormick, 1993), yang kemudian digunakan untuk mencari kemungkinan penyebab tidak dikenalinya ikon-ikon ini. Pertanyaan dalam wawancara meliputi apakah ikon ini dapat dilihat, familier, bermakna, menarik dan apabila ada saran untuk desain alternative. Semua pertanyaan akan dibagi menjadi pertanyaan ya/tidak untuk aturan pembuatan keputusan. Sebuah tabel pembuatan keputusan digunakan untuk mengorganisir aturan keputusan sesuai dengan 7 klasifikasi ikon oleh C.-F. Chi and Dewi (2014), dan aturan ini dipastikan sesuai dengan logika dan mutually exclusive (Chi, Tseng, & Jang, 2012). Dengan menggabungkan ikon yang diuji dengan aturan keputusan, tabel keputusan dapat diubah menjadi pohon keputusan untuk mengilustrasi dan memfasilitasi perbaikan desain dari ikon-ikon yang tidak dikenali ini. Ikon-ikon baru dibuat untuk menggantikan ikon-ikon yang tidak dikenali untuk membuktikan bahwa pohon keputusan merupakan sebuah metode efektif untuk evaluasi dan desain ulang.

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ABSTRACTA comprehensible icon can reduce mental load and operation time for the driver to time share between driving and icon recognition. This study developed a diagnostic tool to identify the causes of poorly recognised icons that could be used for the redesign of existing icons. Thirty-four poorly recognized icons were selected for the current experiment because they had a below 80% recognition rate by experienced drivers in a previous study (C.-F. Chi and Dewi (2014). Fourteen experienced drivers participated in the experiment conducted by Hsieh (2014), where each participant was asked to review all poorly recognized icons one by one based on three stages of icon comprehension (Campbell et al, 2004) and the three aspects of understanding alphanumerical objects (Sanders & McCormick, 1993) to explore possible causes for poor recognition of these icons. Specific questions include whether each icon is visible, familiar, meaningful, and attractive, and if the participants have any suggestion for a better alternative design. All the answers can be further divided into more specific Yes/No decision rules. A decision table is used to organize all the decision rules based on seven categories of icon design, and to ensure these decision rules are logical and mutually exclusive (Chi, Tseng, & Jang, 2012). By associating all the tested icons with the decision rules, the decision table can be transformed into a decision tree illustration to facilitate the redesign of these poorly recognized icons A new set of redesigned icons would be created to replace all the poorly recognized icons to prove that the decision tree is a very effective diagnostic tool for icon evaluation and redesign., A comprehensible icon can reduce mental load and operation time for the driver to time share between driving and icon recognition. This study developed a diagnostic tool to identify the causes of poorly recognised icons that could be used for the redesign of existing icons. Thirty-four poorly recognized icons were selected for the current experiment because they had a below 80% recognition rate by experienced drivers in a previous study (C.-F. Chi and Dewi (2014). Fourteen experienced drivers participated in the experiment conducted by Hsieh (2014), where each participant was asked to review all poorly recognized icons one by one based on three stages of icon comprehension (Campbell et al, 2004) and the three aspects of understanding alphanumerical objects (Sanders & McCormick, 1993) to explore possible causes for poor recognition of these icons. Specific questions include whether each icon is visible, familiar, meaningful, and attractive, and if the participants have any suggestion for a better alternative design. All the answers can be further divided into more specific Yes/No decision rules. A decision table is used to organize all the decision rules based on seven categories of icon design, and to ensure these decision rules are logical and mutually exclusive (Chi, Tseng, & Jang, 2012). By associating all the tested icons with the decision rules, the decision table can be transformed into a decision tree illustration to facilitate the redesign of these poorly recognized icons A new set of redesigned icons would be created to replace all the poorly recognized icons to prove that the decision tree is a very effective diagnostic tool for icon evaluation and redesign.]"