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"In this research it is applied a pattern recognition system by using an artificial neural networks to recognize several samples on weaving products, such as plain weave, twill weave, and sateen weave. In order to extract textural characteristics or features from sample images, it is used the Neighboring Grey Level Dependence Matrix (NGLDM)-method as proposed by Sun, which is invariant under rotation and linear grey level transformation. Five textural features i.e. Small Number Emphasis, Large Number Emphasis, Number Non uniformity, Second Moment, and Entropy will be used as the representative features of sample images. Those features are used as input to the neural networks, which have learned by the back propagation method. Baths methods (continuous and periodic) for changing the interconnection weights, and the performances of the two types of neuron transfer functions are also observed and investigated, in order to obtain an optimal network configurations. The results of experiment will be very useful for the next stage of research in designing an integrated vision system for the recognition of weaving product's quality in textile industry."

"Perkembangan teknologi informasi menyebabkan timbulnya disrupsi teknologi dalam rantai pasokan yang berakibat pada ketidakpastian kondisi pasar dan memicu munculnya biaya tambahan sehingga pelaku usaha mengalami kesulitan dalam menentukan penetapan harga. UMKM dalam praktiknya belum menerapkan strategi penetapan harga berdasarkan perubahan-perubahan dinamis secara pesat yang terjadi saat ini. Hal ini dapat berpengaruh pada penurunan jumlah volume penjualan, menyebabkan banyak perusahaan mengalami kerugian serta tidak mampu mempertahankan keberlanjutan usahanya. Penelitian ini bertujuan untuk menganalisis dan mengevaluasi disrupsi dalam rantai pasokan yang terjadi karena adanya disrupsi teknologi yang berdampak pada ketidakakuratan dalam penentuan harga. Penelitian ini menggunakan studi kasus sebagai strategi penelitian di mana analisis konten dan analisis tematik diterapkan untuk menganalisis instrumen penelitian dalam bentuk analisis dokumen dan wawancara semi terstruktur. Dalam hal ini, peneliti menemukan bahwa terdapat tiga disrupsi teknologi dominan yang terjadi dalam rantai pasokan UMKM perdagangan tekstil. Disrupsi tersebut adalah disrupsi distribusi, disrupsi transportasi, dan disrupsi pada sistem perdagangan elektronik. Selain itu, penelitian ini menemukan bahwa hambatan dalam menentukan atau menerapkan strategi penetapan harga adalah ketidaksiapan bisnis itu sendiri untuk menarik loyalitas pelanggan melalui penawaran seperti harga khusus anggota. Hal ini dapat menimbulkan pengambilan keputusan yang salah oleh pelaku bisnis dalam menetapkan harga produknya dan juga hilangnya permintaan konsumen yang tidak dapat diakomodir. Sesuai dengan yang diuraikan oleh Boundy (2019), strategi dynamic atau penetration pricing merupakan alternatif yang dapat diambil oleh UMKM dalam menghadapi situasi disrupsi teknologi yang terjadi secara dinamis seperti sekarang ini. Implementasi strategi ini dilakukan melalui metode market pricing yaitu dengan menetapkan harga jual yang rendah yang dapat bersaing di pasaran untuk mengganggu para kompetitor lainnya khususnya dalam menjalankan kegiatan perdagangan secara online di era disrupsi teknologi saat ini yang sejalan dengan yang dikemukakan oleh Khare et al. (2016). Pangsa pasar yang semakin luas akan mempengaruhi volume penjualan sehingga UMKM dapat menetapkan harga meskipun dengan profit margin yang rendah. Hal ini dilakukan untuk memperbaiki penetapan harga yang selama ini dilakukan oleh UMKM Perdagangan Tekstil agar terhindar dari risiko hilangnya daya tarik dari para konsumennya dari segi harga.

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The development of information technology rapidly that occurs causes disruption of technology in the supply chain which results in uncertainty of market conditions and triggers additional costs so that companies having difficulties in price determination. In practice, MSMEs have not yet implemented a pricing strategy based on the dynamic changes that are happening right now. This can trigger a decrease in sales volume, causing many companies to suffer losses and be unable to maintain the sustainability of their businesses. This study aims to analyze and evaluate in order to problem solving based on disruption in the supply chain that occurs due to disruptive technology and the impact on inaccuracies in price determination. This study applies case studies as a research strategy in which content and thematic analysis is applied to analyze research instruments in the form of document analysis and semi structured interviews. In this case, we found that there were three dominant disruptions technology occurring in the textile trade MSME supply chain. These disruptions include distribution, transportation and ecommerce system disruptions. Also, the author found that the obstacle in determining or implementing pricing strategies is the unpreparedness of the business itself to attract customer loyalty through offers like membership special prices. This could create an incorrect decision making by business actors in setting the price of their products and also the loss of consumer demand that cannot be accommodated. This is in line with Boundy (2019), the dynamic or penetration pricing strategy is an alternative that can be taken by MSMEs in the current technological and dynamic disruption situation. The implementation of this strategy is carried out through market pricing methods, namely by setting low prices that can compete in the market to disrupt other competitors, especially in carrying out online trading activities in the current era of technological disruption in line with what was stated by Khare et al. (2016). Increasing market share will affect sales volume so that MSMEs can set prices even with a low profit margin. This is done to improve the price fixing that has been carried out by the Textile Trade SMEs to avoid the risk of losing the attractiveness of consumers in terms of price."

"Kecamatan Bogor Tengah merupakan lokasi yang strategis dengan adanya pusat perbelanjaan baik pasar modern maupun pasar tradisional. Dalam memilih lokasi tujuan belanjanya, penduduk akan mempertimbangkan waktu tempuh dan juga jarak. Penetapan pilihan tersebut dikenal dengan istilah proses keputusan pembelian. Penelitian ini menggunakan jenis kebutuhan primer harian dan primer non harian, yang bertujuan untuk melihat bagaimana pola pemilihan lokasi belanja penduduk di Kecamatan Bogor Tengah dengan menggunakan variabel karakteristik demografi yakni tingkat pendapatan, tingkat pendidikan, status pekerjaan dan jenis pergerakan belanja. Metode yang digunakan bersifat deskriptif spasial dengan menggunakan uji chi square untuk mengetahui hubungan antara setiap variabel yang digunakan dalam memilih lokasi belanja kebutuhan primer harian. Hasil penelitian didapatkan bahwa dalam membeli kebutuhan primer harian penduduk cenderung memilih waktu tempuh serta jarak terdekat terhadap lokasi tempat tinggalnya, jenis pergerakan belanja single purpose trip mayoritas dipilih penduduk karena umumnya jarak yang ditempuh merupakan jarak dekat. Berbeda halnya dengan kebutuhan primer non harian pakaian, pergerakan belanja pakaian dipengaruhi terhadap pendapatan yang dimilikinya, sebagian besar penduduk memiliki jenis pergerakan multi purpose trip, karena jarak dan waktu tempuh tidak begitu dipertimbangkan asalkan lokasi tersebut masih terdapat di dalam Kota Bogor. Pendapatan dan pendidikan memiliki hubungan yang signifikan terhadap pemilihan lokasi belanja, sedangkan pada karakteristik demografi status pekerjaan hubungan yang terjadi tidak signifikan apabila tidak dikaitkan dengan tingkat pendapatan masing-masing penduduknya.

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The district of central Bogor is a strategic location supported with a decent trade center which is good in both modern and traditional market. In selecting the location of store, community have the choice itself principally in terms of journey time and distance from home toward the store. The choice of it is known as the purchase decision process. This research uses the type of primary needs that are differentiated into two, called daily primary needs and non daily primary needs. The aim is to see the pattern of primary needs store site selection for central Bogor district communities using the variables demographic characteristics, that are Income level, education level, employment status and the type of shopping movement based on the distance and also the travel time to the selected store location. The method used is a descriptive spatial using the chi square test to determine the relationship between each of the variables used in selecting the location of the daily primary needs and non daily primary needs.

The result of the research shows that in buying the daily primary needs, communities tend to choose the smallest travel time needed and the closest to the location. In other side, Non daily primary needs is affected by its income. Nevertheless, the majority of the community has the type of movement of the multi purpose trip with not too consider the distance and time traveled in toward the location of the store as long as the location is still there in Bogor. The income and education have significant relationships to the location selection store, while on the demographic characteristics of the status of the work of the relationship that happened not significant when not associated with the level of the income of each of its communities."

"[Penelitian ini bertujuan untuk mengetahui apakah Free Trade Agreements (FTAs) yang dilakukan Indonesia memiliki gross trade creation terhadap ekspor Tekstil dan Produk Tekstil (TPT) Indonesia, serta menentukan variabel lain yang memengaruhi kinerja ekspor TPT Indonesia. Penelitian ini menggunakan commodity specific gravity model, dengan data panel yang terdiri dari data tahunan dari 2005 hingga 2013, dan 24 negara importir. Berdasarkan hasil penelitian, ditemukan bahwa seluruh FTA memiliki gross trade creation yang cukup signifikan terhadap ekspor komoditas TPT Indonesia, khususnya ACFTA dan AKFTA. Sementara itu, variabel PDB Negara Importir, dan Nilai tukar merupakan beberapa faktor utama penentu kinerja ekspor komoditas TPT Indonesia.;This study aims to determine whether the Indonesia?s Free Trade Agreements (FTAs) have gross trade creation to Indonesia?s Textiles And Textile Products exports, and to determine other variables that affect Indonesian textile exports performance. This study using the commodity specific gravity model, with a panel data from 2005 until 2013, and 24 importer countries. The result shows that all of the FTAs have a significant gross trade creation effect to the export of Indonesian textile commodities, particularly ACFTA and AKFTA. Meanwhile, Importers GDP, and Exchange Rate are some of the determining factor for the exports performance of Indonesia?s textile commodities;This study aims to determine whether the Indonesia?s Free Trade Agreements (FTAs) have gross trade creation to Indonesia?s Textiles And Textile Products exports, and to determine other variables that affect Indonesian textile exports performance. This study using the commodity specific gravity model, with a panel data from 2005 until 2013, and 24 importer countries. The result shows that all of the FTAs have a significant gross trade creation effect to the export of Indonesian textile commodities, particularly ACFTA and AKFTA. Meanwhile, Importers GDP, and Exchange Rate are some of the determining factor for the exports performance of Indonesia?s textile commodities, This study aims to determine whether the Indonesia’s Free Trade Agreements (FTAs) have gross trade creation to Indonesia’s Textiles And Textile Products exports, and to determine other variables that affect Indonesian textile exports performance. This study using the commodity specific gravity model, with a panel data from 2005 until 2013, and 24 importer countries. The result shows that all of the FTAs have a significant gross trade creation effect to the export of Indonesian textile commodities, particularly ACFTA and AKFTA. Meanwhile, Importers GDP, and Exchange Rate are some of the determining factor for the exports performance of Indonesia’s textile commodities]"

"Tekstil dan produk tekstil merupakan salah satu komoditas penting yang memiliki persaingan ketat di pasar global. Indonesia telah menjadi salah satu negara yang kompetitif dan memiliki sektor terpadu dari hulu hingga hilir. Dalam perkembangannya, terbentuknya perjanjian perdagangan regional dapat mempengaruhi kinerja ekspor. Dalam penelitian ini, AFTA menjadi fokus utama karena Indonesia adalah anggota ASEAN yang terikat dalam perjanjian dagang regional (AFTA).Tesis ini menggunakan model gravity dengan pengolahan data panel. Dari hasil pengolahan diketahui bahwa model ini mampu menjelaskan variasi faktor determinan ekspor tekstil dan produk tekstil Indonesia ke beberapa negara mitra dagang sebesar 80%.Hasil dari penelitian juga menunjukan bahwa beberapa variabel independen seperti GDP dan populasi dari negara mitra, dummy AFTA dan krisis secara signifikan memberikan pengaruh untuk ekspor tekstil dan produk tekstil Indonesia. Variabel tersebut berpengaruh secara signifikan pada level kepercayaan 99% dan 90%. Sementara itu, jarak dan nilai tukar riil tidak berpengaruh terhadap kinerja ekspor tekstil dan produk tekstil Indonesia.

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Textile and textile products is one of important commodity that has thigh competition in global market. Indonesia has been one of the competitive countries that has integrated sector from upstream to downstream industry. In recent development, the creation of regional trade arrangement may influence export performance. In this research, the creation of AFTA becomes the main focus since Indonesia is a member of AFTA.

This thesis uses gravity model with panel data estimation. The model chosen in this thesis is fixed effect model. From the estimation, it is found that the model is able to explain the variation of Indonesian textile and textile product exports to the several trade partner countries for 80 %.

The estimation result of this research also found that some of independent variables such as GDP and population of partner country, AFTA and crisis dummy variable significantly give effect to Indonesian textile and textile products export. It affects significantly at the level of 99% and 90%. On the contrary, distance and real exchange rate has insignificant effect to Indonesian textile and textile products export."