Bahasa isyarat adalah bahasa yang dibentuk dengan kombinasi gerakan jari, tangan, tubuh serta ekspresi wajah yang digunakan oleh para penyandang disabilitas seperti tunarungu dan tunawicara. Salah satu pengenalan bahasa isyarat tersebut adalah pengenalan dengan menggunakan teknologi sensor Leap Motion Controller (LMC). Akan tetapi pada penerapannya, sensor LMC tidak selalu dapat mengenali semua jari dengan baik. Hal ini dikarenakan pembentukan dari bahasa isyarat yang saling bersentuhan antar jari, jari yang dilipat, tersembunyi ataupun terhalang oleh jari lainnya. Sehingga pada penelitian ini diusulkan penggunaan dual sensor LMC yang bertujuan untuk mencegah dan meminimalisir adanya kesalahan dalam mengenal bahasa isyarat dari jari yang dibentuk. Tahapan proses yang dilakukan adalah mendesain tata letak sensor LMC dan mengkombinasikan data fitur dari masing-masing sensor LMC baik yang bersifat statis dan dinamis yang kemudian diklasifikasikan menggunakan metode L-GCNN. Dari hasil pengujian yang dilakukan, penggunaan dual sensor LMC ini dapat mengenal isyarat SIBI yang diberikan. Skema yang terbaik adalah dengan mengacu pada tata letak multi sensor yang saling berhadapan membentuk sudut 120 derajat dengan tingkat akurasi sebesar 86,42%, dengan rata-rata akurasi dari keseluruhan skenario sebesar 84,36%. Adanya desain tata letak sensor LMC dan kombinasi penggabungan data fitur masing-masing sensor dapat meningkatkan akurasi pengenalan dengan rata-rata peningkatan mencapai 5,35%.
Sign language is a language formed by a combination of finger, hand, body movements and facial expressions used by persons with disabilities such as deaf and speech impaired. One of these sign language recognitions is recognition using Leap Motion Controller (LMC) sensor technology. In addition to the sign language that is formed has diversity such as folded fingers, hidden fingers, indonesian sign forms also have characteristics and shapes that are almost similar to one another. The LMC sensor is not always able to recognize all forms of signs properly. In this study, optimization is proposed at the feature level where optimization aims to provide more detailed features and characteristics of each sign language formed. The stages of the process are designing the layout of the sensors, adding features and combining feature data from each sensor. The test of the feature optimization on this dual LMC sensor can provide an increase in the recognition accuracy of the given Indonesian sign language. The Indonesian sign language can be recognized well with an average accuracy of 87.24% and the optimization carried out is able to produce an increase in accuracy of up to 2.88%.
Pernikahan merupakan masa yang dinantikan oleh pasangan dengan tujuan untuk meresmikan ikatan perkawinan yang sah. Pernikahan terdiri dari berbagai macam perayaan yang mengacu pada adat istiadat, identitas, agama, negara, dan budaya serta kelas sosial. Pada era modern ini banyak sekali orang memanfaatkan salon-salon dalam membantu mempersiapkan perlengkapan untuk membantu menentukan pakaian, tata rias wajah, dekorasi dan lain sebagainya. Dalam hal ini pengantin harus memilih salah satu salon penyedia layanan paket pernikahan yang mampu bertanggung jawab terhadap pengantin dan keluarganya dalam mengatur dan mengarahkan pelaksanaan rangkaian acara pernikahan sesuai dengan jadwal dan rencana pengeluaran yang telah ditentukan sebelumnya. Berdasarkan kondisi yang dilihat pada objek penelitian, sistem ini dibuat untuk melakukan pemilihan dan pemesanan paket pernikahan secara online. Pengembangan sistem yang digunakan adalah metode waterfall dengan melakukan perancangan flowchart, diagram konteks, data flow diagram, database, user interface yang dibuat dengan PHP MySQL dan kemudian dilakukan pengujian blackbox serta pengujian kepuasan pengguna (UAT). Hasil dari pengujian sistem ini mendapatkan nilai kemudahan rata-rata 79,4% menunjukkan bahwa dalam penggunaan sistem informasi jasa salon penyedia layanan paket pernikahan ini sudah dapat membantu pengguna dalam mencari informasi dan melakukan penyewaan paket pernikahan melalui sebuah halaman web.
Allium ascalonicum L or commonly referred to as shallot is one type of horticultural plant that is important because it is widely used by humans as a mixture of spices in cooking. The need for shallots increasing every day accompanied by a large number of agricultural products, causing the stability of shallot availability in Merauke County to become unstable, To support the needs of consumers shallots imported from outside Merauke. Therefore the condition of the shallots in the storage area is cold and humid. While waiting to be sold in the storage area, it must be maintained temperature and humidity to reduce decay and shrinkage. This prototype monitoring device works to measure and maintain the temperature and humidity in the storage. The data collection method in this study is Literature Study, Observation, Interview, and Documentation. Microcontroller devices are designed or made to be able to control the state of temperature and humidity in the room where the onion is stored. The device also gives notifications via text message to users to be able to find out the state of the onion storage. The results of the study conducted using the DHT11 sensor obtained a temperature measurement accuracy rate of 93.848% and a humidity accuracy rate was 91.808%. This device can detect the temperature and humidity values in the shallot storage room.
Students are allowed to take courses outside campus in the Kampus Merdeka program. In this regard, students need to be equipped with competence related to digital industries’ needs, especially for computer science students. The purpose of this research is to conduct a preliminary study of the abilities needed by the student to execute the Kampus Merdeka program base on stakeholders’ perspectives, who specifically are digital manufacturing in Papua. This research is a quantitative study that employs a survey strategy. Respondents came from various fields related to digital manufacturing, including banks, government offices, private companies, and digital start-ups. The online questionnaire was distributed, and 100 respondents gave responses related to the abilities students must possess for digital manufacturing field working. The findings of this study underline several essential abilities, including industry 4.0 framework knowledge, digital usage skills, and information communication technology (ICT) skills. The findings of this study contribute to a better understanding of the technical capabilities required by stakeholders. The results of this study can be developed into a policy of aligning the capabilities of students with digital manufacturing needs.
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