82 research outputs found
Klasifikasi motif batik berdasarkan ekstraksi texture dengan menggunakan Multi Texton Histogram (MTH)
INDONESIA:
Indonesia adalah negara yang memiliki banyak budaya. Salah satu kekayaan budaya yang dimiliki indonesia adalah batik. Batik memiliki nilai, teknik pencantingan, simbol dan ciri khas yang dibuat menggunakan kerajinan tangan yang dilukiskan pada sebuah kain. Dengan banyaknya kain di Indonesia dibutuhkan bantuan untuk melakukan deteksi batik. Dengan menggunakan Multi Texton Histogram yang merupakan sebuah metode yang diggunakan untuk melakukan ekstraksi fitur. Ekstraksi fitur menggunakan metode Multi Texton Histogram melewati tahap kuantitasi warna dan orientasi tepi. Setelah itu dilakukan deteksi texton pada hasil kuantisasi warna dan diakhiri dengan melakukan representasi fitur dengan menyandingkan antara hasil dari deteksi texton dan hasil dari orientasi fitur. Ekstraksi fitur pada citra bertujuan untuk memperkecil fitur yang akan digunakan untuk prediksi. Pada penelitian ini dinggunakan Machine learning untuk membantu dalam melakukan prediksi. Machine learning yang digunakan adalah k-NN. k-NN memanfaatkan kedekatan antar data untuk melakukan prediksi. Pada penlitian ini metode Deccision Tree digunakan sebagai pembanding k-NN. Selanjutnya didapatkan hasil dari penelitian yang didapatkan dalam melakukan ekstraksi fitur menggunakan metode MTH dengan menggunakan sebanyak 3838 citra batik menghabiskan waktu selama 738 detik dengan rata-rata 5 citra per detik. Sedangkan hasil dari perhitungan akurasi menggunakan k-NN mendapatkan akurasi sebesar 86,34% dengan lama waktu operasi yang dibutuhkan selama 0,755 detik dibandingkan dengan menggunakan metode Decision Tree didapatkan akurasi sebesar 84.15% dengan lama waktu operasi yang dibutuhkan selama 0,122 detik. Sehingga disimpulkan akurasi k-NN lebih besar dari Decision Tree tetapi waktu operasi yang dibutuhkan k-NN lebih besar dari Decision Tree. Ekstraksi fitur Multi Texton Histogram dan metode machine learning yang digunakan diharapkan dapat membantu masyarakat Indonesia dalam melakukan pengenalan pada motif batik.
ENGLISH:
Indonesia is a country that has many cultures. One of Indonesia’s cultural treasures is batik. Batik has values, stitching techniques, symbols and characteristics that are made using handicrafts painted on a cloth. With so many fabrics in Indonesia, help is needed to detect batik. By using Multi Texton Histogram which is a method used to extract features. Feature extraction using the Multi Texton Histogram method goes through the stages of colour quantitation and edge orientation. After that, texton detection is carried out on the results of colour quantization and ends by performing feature representation by juxtaposing the results of texton detection and the results of feature orientation. Feature extraction in the image aims to minimise the features that will be used for prediction. Machine learning is used to assist in prediction. The machine learning used is k-NN. k-NN utilises the proximity between data. While Deccision Tree is used only as a comparison. Furthermore, the results obtained from the research obtained in extracting features using the MTH method using 3838 batik images took 738 seconds with an average of 5 images per second. While the results of the accuracy calculation using k-NN get an accuracy of 86.34% with the required operating time of 0.755 seconds compared to using the Decision Tree method, the accuracy is 84.15% with the required operating time of 0.122 seconds. So it is concluded that the accuracy of k-NN is greater than Decision Tree but the operating time required by k-NN is greater than Decision Tree. The Multi Texton Histogram feature extraction and machine learning methods used are expected to help the Indonesian people in recognising batik pattrens.
ARABIC:
في اندونسيا تقا فة ضتو عة ومن.أحد التراث الثقافي إندونيتا هو الباتيك. البتك القمه, واسلوب الحا مه القيو و التقنيات الخياطة اولوموز والخصاىص المصنوعة باستخدام الحر فاليدوية المرسومة على قطعة القماش. مع وجود العديد من الاقمشة في اندونيسيا,من الضروري المساعدة في اكتثاف الباتيك ويستخدام يمتعدد النص الرسم البياني,وهي طريقة تستخدم لاستخراج الميزات يمر استخراي المعالم با ستخدام طريقة الرسم البيابي معدد النصوص عبر مراحل تكميم اللون واتجافة. بعد دلك, يتم إجراء اكتشاف تكستونعلى نتائج تكميم الألوان وينتهي من خلا تمشل الميز من خلال مطابقة نتائج اكتشاف تكستو نو نتائج اتجاه الميزة. يهدف استخراج الميزةفى الصورة إلى تقليل الميزات التى سيتم استخدامها للتنبو.في هذا البحث, يتم استحدام التعلم الالي هفارنةللمساعدة في عمل التنبوات. التعلم الالي المستخدم هو ك-ن. يستخدم ك-ن القرب بين البتانت العما التنبوات. في هذا المشالمعقارتة المقارنة ك-ن. كما استغر النتائج التي تم الحصول عليها من البحث الدي Decision Tree,تم استخدام طريقة صور في الثا نية 5 ثانية بمعدل738 صورة بتيك3838 تم الحصو عليه في استخراج الميزبا ستخدام طر يقة ميشا ستخدم ثانية مقارنة 0.755 مع مدة وقت التشغيل المطلو ل 86.34% بينماتحصل نتائج حساب الدقة باستخدام ك-ن على دقةهي دقة ك-ن أكبر من شجرة القرار ولكن وقت التثغيل الذي تتطلبه ك-ن أكبر من شجرة الةرار. من المتوقع أن يساعد استخراج . ميزة الرسم البياني متعدد الصوص وطرق التعلم التعلم الالى المستخدمة الشعب الإندونيسي في التعرف على زخارف الباتبك
METODE PEMBAYARAN TAMU DI FRONT OFFICE DEPARTMENT HOTEL ARIA CENTRA SURABAYA
The goal to be achieved from the preparation of this final project is to find
out the payment methods available at the Aria Centra Surabaya hotel. The author
made observations at the Front Office Department Hotel Aria Centra Surabaya.
The author concludes that the payment methods that can be used by Hotel Aria
Centra Surabaya are cash payments, debit card and credit card payments, travel
agent vouchers, complimentary vouchers, and guarantee letters
Risk management analysis for construction of Kutai Kartanegara bridge-East Kalimantan-Indonesia
The effectiveness of habitat modification schemes for enhancing beneficial insects: Assessing the importance of trap cropping management approach
Overview of Indonesian Islamic Education: A Social, Historical and Political Perspective
The aim of this study is to examine how the historical genealogy of Islamic educational tradition, particularly the tradition of teaching and learning, has contributed to the development of Islamic education in Indonesia. By drawing together in an analytic way a historically based description of the social and political circumstances surrounding Indonesian Islamic education, the study discusses some significant issues concerning the religious base, knowledge base, structural form, and the pedagogical approach of Indonesian Islamic education, all of which are important to the development of a modern form of Islamic education.
The argument of the thesis is that the existing values of the Islamic tradition in education, particularly evident in Madrasah schools, provide a valuable basis for further developing and reconstructing an effective Islamic education system in Indonesia. However, there is also a strong need to construct an Islamic education curriculum in Indonesia that can meet the challenge posed by the circumstances generally understood as 'modernity'. The quality of teaching and learning in the Madrasah are very much influenced by the quality of the wider Islamic education programme. Any change in the curriculum of Islamic education will thus have significant effects on the quality of the Madrasah schools in Indonesia. This thesis will thus conclude by suggesting some implications for further development of Islamic education that arise from the study.
This is a qualitative study using an historical genealogical approach to discover, understand and analyze the challenges currently facing Islamic education In Indonesia. The techniques for collecting data involved, primarily, a critical reading of historical and contemporary policy documents. Primary and secondary sources were also collected, studied and subjected to a critical reading in the production of this account of Indonesian Islamic education
Analysis of heavy metal content of Pb in ballast water tank of commercial vessels in port of Tanjung Emas Semarang, Central Java province
PENYINGKAPAN CITRA PEREMPUAN CERPEN MEDIA INDONESIA: KAJIAN FEMINISME
One of the female phenomena which was authored by the authors short stories in Media Indonesia is the narrative of oppressed women. The purpose of this study is to explore the image of women in short stories in the Media Indonesia. This research is descriptive qualitative research that focuses on the image of women. The approach used in this research is the feminism approach. The data were analysis techniques using heuristic and hermeneutic techniques. The results of the study indicate that there are various negative treatments experienced by women. The author used the short stories as a representation of their images through the Media Indonesia daily. Women's image is manifested in the form of physical image, psychic, helpless, resigned to the situation, housewife, loyalty, child guard, domestic, husband's companion, and social
اختلاف الأصوليين في قاعدة (العبرة بما رواه الراوي لا برأيه) وأثره في فقه المناكحات
This study aimed to discuss kaidah AL-ʻIBROTU BIMÂ ROWÂHU AL-RÂWI LÂ BIRAʼYIH and explained the dissent of ushuliyyin on that kaidah then applied it to the context of fiqh munakahat. Based on the results of the study, the author concluded that the rajih opinion was jumhur ulama opinion, which said that the hadith excluded by the rawi was a hujjah. As for the opinion of the ulama hanafi, if the rawi opinion was different from the hadith that he narrated, then the hadith could not be used as hujjah and it became a weak opinion according to the arguments and the discussions that had been elaborated by the author in his study.
 
Measurement uncertainty of ester number, acid number and patchouli alcohol of patchouli oil produced in Yogyakarta
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