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"ABSTRAK

 Perusahaan asing X merupakan salah satu pelaku bisnis mancanegara  di sektor perbankan yang mengembangkan bisnisnya di Indonesia. Dengan berdirinya perusahaan ini, adanya interaksi antarbudaya dalam internal perusahaan berpotensi menimbulkan konflik  antara karyawan Indonesia dengan karyawan Tiongkok. Ting Toomey (dalam Gudykunts dan Kim, 2003) menjelaskan bahwa dalam penyelesaian konflik, individual atau kelompok memiliki situasi khusus untuk menyelamatkan muka atau harga dirinya yang terancam dan dipertanyakan. Penelitian kualitatif dengan strategi penelitian studi kasus ini memfokuskan pada  face negotiation antara karyawan Indonesia dan Tiongkok dalam meresolusi konflik. Hasil studi menunjukkan bahwa penerapan face negotiation theory tidak bisa seutuhnya diterapkan dalam setiap situasi. Ketika komunikasi antarbudaya melibatkan kepemilikan modal, tendensi penyelamatan muka dapat dilakukan selama tidak menggangu upaya pencapian profit. Pihak-pihak yang terlibat pada komunikasi antarbudaya ketika dihadapkan pada penyelamatan muka tetap mempertahankan tujuan perusahaan

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ABSTRACT

 

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Foreign company X is one of the foreign company in the banking sector that develops its business in Indonesia. With the establishment of this company, the intercultural communication within the employee caused conflict between Indonesian and Chinese employees themself. Ting Toomey (in Gudykunts and Kim, 2003) explains that in conflict resolution, individuals or groups have special situations to saving their face or threatened and questioned self-esteem. This study  focuses on face negotiations between Indonesian and Chinese employees in resolving conflicts. The results of the study show that the application of a face negotiation theory cannot be fully applied in every situation. When intercultural communication involves capital ownership, the tendency to save face can be done as long as it does not interfere with efforts to capture profits. The parties involved in intercultural communication when faced with saving face still maintain the company`s goals

 

 

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"ABSTRAKLearning Vector Quantization (LVQ) merupakan salah satu metode yang digunakan dalam jaringan syaraf tiruan atau Artificial Neural Network. Namun untuk data yang bervariasi,performa LVQ mengalami penurunan, hal ini terlihat dari tingkat rekognisi yang diperoleh. Oleh karena itu dikembangkan metode logika Fuzzy yang diperkirakan mampu menaikkan kembali tingkat rekognisi dan performa dari LVQ . Hasil yang diperoleh menunjukkan bahwa dengan logika Fuzzy tingkat rekognisi naik hingga 40 %.

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ABSTRACT

Learning Vector Quantization (LVQ) is one of the method that used in Artificial Neural Network.,but result shows that any data variations have decreasing the recognition rate. Fuzzy Logic developed to increasing and reinstate the recognition rate of LVQ. With Fuzzy logic, the result shows that recognition rate achieve 40% of increasing."

"Survei Kesehatan Indonesia (SKI) tahun 2023 yang dilakukan oleh Kementerian Kesehatan (Kemenkes) ada sekitar 70 juta perokok aktif di Indonesia. Apabila dihitung dari populasi penduduk Indonesia ada 28,62% penduduk yang merokok di tahun 2023 dan persentase ini meningkat dari tahun sebelumnya sebanyak 0,36%. Perilaku merokok ini menyebabkan berbagai penyakit seperti penyakit paru-paru kronis, kerusakan gigi, penyakit mulut, stroke, serangan jantung, kanker rahim, gangguan mata, dan kerusakan pada rambut. Untuk menekan jumlah perokok di Indonesia, diperlukan sistem untuk deteksi perokok. Deteksi perokok saat ini memakan biaya yang mahal, bantuan ahli, dan sistem yang kompleks. Oleh karena itu, deep learning dengan algoritma Convolutional Neural Network hadir sebagai solusi untuk mengatasi masalah tersebut. Skripsi ini membahas bagaimana merancang sistem deep learning dengan Convolutional Neural Network (CNN) untuk keperluan deteksi wajah perokok. Skripsi ini juga membahas bagaimana pengaruh berbagai skenario jumlah data pelatihan dan data pengujian serta penambahan ekstraksi fitur wajah terhadap metrik evaluasi . Hasil dari rancangan dievaluasi dengan metrik evaluasi kalkulasi loss function, akurasi, dan F1 score. Hasil simulasi menunjukan skenario data pelatihan 70% dan data pengujian 30% adalah skenario terbaik dengan nilai metrik evaluasi pengujian pada skenario ini sebesar 2.236 untuk loss, 54.5% untuk akurasi, dan 34.9% untuk F1 score. Skenario ini diimprovisasi dengan adanya penambahan ekstraksi fitur perokok pada awal preprocessing yang ditandai dari penurunan loss sebesar 65.65%, peningkatan akurasi sebesar 19%, dan peningkatan F1 score sebesar 24.08%.

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The 2023 Indonesian Health Survey (SKI) conducted by the Ministry of Health (Kemenkes) reported that there are approximately 70 million active smokers in Indonesia. This accounts for 28.62% of the Indonesian population in 2023, representing a 0.36% increase from the previous year. Smoking behavior leads to various diseases such as chronic lung disease, tooth damage, oral diseases, stroke, heart attacks, uterine cancer, eye disorders, and hair damage. To reduce the number of smokers in Indonesia, a smoker detection system is necessary. Current smoker detection methods are expensive, require expert assistance, and involve complex systems. Therefore, deep learning with Convolutional Neural Network (CNN) algorithms presents a solution to address these issues. This thesis discusses how to design a deep learning system using Convolutional Neural Networks (CNN) for smoker face detection. It also examines the impact of different training and testing data scenarios and the addition of facial feature extraction on evaluation metrics. The designed system is evaluated using metrics such as loss function calculation, accuracy, and F1 score. The simulation results show that a scenario with 70% training data and 30% testing data is the best scenario, yielding evaluation metric values of 2.236 for loss, 54.5% for accuracy, and 34.9% for F1 score. This scenario was improved with the addition of smoker feature extraction in the preprocessing stage, resulting in a 65.65% reduction in loss, a 19% increase in accuracy, and a 24.08% increase in F1 score."

"This book spans current progress in biometric systems including face recognition, fingerprint recognition, iris recognition and image search systems, connecting them to each other and to progress in color and pattern analysis, mathematics and computer science. "

"Tesis ini membahas face negotiation yang terjadi antara generasi muda Batak sebagai keturunan perantau dengan generasi tua dalam usaha mempertahankan identitas budaya asal. Penelitian ini menggunakan teori face negotiation untuk membahas bagaimana konsep muka menyertai dua budaya berbeda dalam mengendalikan terjadinya konflik. Penelitian dilakukan dengan menggunakan paradigma konstruktivis, pendekatan kualitatif, menggunakan metode etnografi. Subjek penelitian dipilih melalui strategi purposive. Hasil penelitian menunjukkan berdasarkan pembagian cluster dalam teori face negotiation dapat digambarkan face orientation generasi muda Batak adalah both/mutual face, face movement yang diterapkan adalah jenis mutual face protection moves, face interaction strategis adalah mengedepankan high context, gaya konflik komunikasi yang sering terjadi adalah compromising, dan face content domain adalah reliability face yang mengedepankan kepercayaan.

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This thesis studies about face negotiation between Bataknese young generation which are part of migrant generation in Jakarta and their parents to maintain ethnic identity of host culture. This studies used face negotiation theory to explain about face concept between two different culture in maintain conflict. This studies used constructivism paradigm, qualitative approach, and ethnography method. Subject in this studies are choosen by purposive sampling by criteria. The result of this studies shows that based on cluster of face negotiation theory, face orientation of bataknese young generation is both/mutual face, and also used other face upgrading moves of face movement criteria. The face interaction strategies is prior to high context, compromising is conflict communication style prefered, and face content domain is reliability face."

"ABSTRAKBinders syndrome or maxillonasal dysostosis is a rare congenital condition that primarily affects the mid face and sometimes the vertebrae. It was named after von Binder who described three cases of hypoplastic maxilla nasal complex in 1962. It can either occur as a sporadic mutation or may be inherited in an autosomal recessive pattern with incomplete penetrance. Decrease in the naso labial angle, flat forehead, dish shaped face, absence of protrusion of nasal tip, absence of nasal flare with triangular or semilunar nostrils, palpable depression in the nasal floor and a class III tendency are characteristic of the syndrome. Vertebral anomalies are seen in some patients owing to the parallel development of the nasal complex and vertebrae in the third month of intrauterine life. Prenatal diagnosis may be done using ultrasonography at 21 weeks of pregnancy. A multi disciplinary approach towards planning of treatment for individuals with Binders syndrome includes orthodontic treatment along with osteotomies and grafting to correct the nasal and mid face defects."

"This article discusses face threatening act (FTA) performed by KBJ VI participants. The FTA is a less tolerance utterance that makes a speaking partner feels ashamed and displeased so that it may annoy harmony and friendship. There are three research questions 1) what kind of speech act which tends to threat face as used by KBJ VI participants, 2) how far is the level of politeness of an uttereance containing FTA, and 3) how the speaking partner responds the FTA speech act. The data sources were any speeches or utterances who were officially delivered by the selected samples in the KBJ agenda. These speeches and utterances were recorded then they were categorized, and finally selected in accordance with the purpose of the research. The results of the research show that basically FTAs are not in accordance with the Javanese politeness where one should always make other people happy the basis of solidarity making."