123 research outputs found
Mapping disaster hazards and risks – a case study in Kuala Lumpur City (KLC)
No full textKuala Lumpur, the capital city of Malaysia, is vulnerable to various natural and man-made disasters. Kuala Lumpur City (KLC) encounters distinctive difficulties in managing urban disasters, mainly because of its dense population, critical infrastructure, and economic importance. Mapping the hazards and risks of disasters in KLC is crucial for enhancing its resilience against disasters and ensuring the effectiveness of emergency response, humanitarian aid, and disaster relief efforts. The objective of this study is to develop a comprehensive master plan for the management of disasters in KLC. The plan will serve as the initial phase in the civil-military coordinating response architecture for humanitarian aid and disaster relief (HADR). The approach entails creating a hazard map delineating regions susceptible to flash floods and landslides, frequently occurring in KLC. In addition, a vulnerability map was generated to evaluate the region’s proneness to disasters and identify safe areas within KLC. Additionally, road vulnerability assessments were performed to determine the most direct route for HADR activities. Furthermore, a customised disaster risk map was created exclusively for the KLC. This work contributes to the growing body of literature on urban disaster management, offering valuable insights for other metropolitan areas facing similar challenges
Structural characterization of JIP1 recruitment by kinesin1 light chain (KLC)
No full textRésuméLes kinésines sont des moteurs moléculaires impliqués dans le transport intracellulaire de nombreux cargos au sein de la cellule. Bien que la motilité des kinésines soit bien comprise, les mécanismes moléculaires à la base du recrutement des cargos le sont beaucoup moins.La kinésine1 joue divers rôles dans les cellules neuronales, où elle contribue à l’organisation spatiale et temporelle de nombreux composants cellulaires. Elle jouerait un rôle dans différentes pathologies neurologiques, comme la maladie d’Alzheimer. Comprendre comment la kinésine1 reconnaît et interagit avec ses cargos est important pour déterminer son rôle, ainsi que celui de ses cargos, au niveau du fonctionnement des cellules normales et pathologiques. La kinésine1 est un hétérotétramère constitué de deux chaînes lourdes (KHC) et de deux chaînes légères (KLC) toutes deux étant capables de recruter des protéines cargos. L’une des premières protéines cargos à avoir été identifiée est JIP1 (JNK-interacting protein 1) qui est, entre autres: (i) une protéine d’échafaudage pour la voie de signalisation des MAP kinases et (ii) une protéine adaptatrice pour le transport de la protéine précurseur de l’amyloïde (APP) responsable de la maladie d’Alzheimer. Dans les deux cas, JIP1 régule des processus critiques au niveau de la cellule, ce qui en fait une protéine intéressante à étudier. Des premières études ont permis de mieux comprendre comment JIP1 est recrutée et transportée par la kinésine1. Cependant, le détail de l’interaction entre KLC et JIP1 n’est pas encore complètement décrit et donc compris.Objectifs : Mon travail de doctorat vise à caractériser au niveau moléculaire l’interaction entre KLC et JIP1. Pour ce faire, j’avais pour objectifs : 1) de caractériser les domaines d’interaction des deux protéines seules, 2) d’étudier la formation du complexe en solution par des approches biophysiques et 3) de déterminer la structure 3D du complexe par cristallographie.Résultats : Dans un premier temps, j’ai caractérisé le domaine TPR de KLC seul en contribuant entre autres au développement d’une boite à outils moléculaires. J’ai aussi participé à la détermination de deux structures cristallographiques du domaine TPR de KLC1/2 permettant de mettre en évidence la plasticité structurale de la 1ère hélice de ce domaine (Nguyen et al, soumis). Dans un second temps, j’ai mis en place les conditions d’expression et de purification du domaine PTB de JIP1 et mener la caractérisation structurale de ce domaine en solution. Bien que ce domaine de JIP1 ne soit pas nécessaire pour l’interaction avec KLC, j’ai pu étudier l’impact de sa présence au niveau du recrutement par KLC. Finalement, j’ai caractérisé le recrutement de JIP1 par KLC en confirmant tout d’abord un certain nombre d’information sur l’interaction entre le domaine TPR de KLC et la région C-terminale (Cter) de JIP1 au niveau moléculaire. Les nombreux essais de cristallisation que j’ai menés n’ont pas permis d’obtenir des cristaux du complexe KLC:JIP1. J’ai cependant pu cartographier de façon précise la zone d’interaction de JIP1-Cter avec le domaine TPR de KLC en employant les différents outils de KLC disponibles pour déterminer par calorimétrie leur affinité avec JIP1-Cter (Nguyen et al., en préparation).Conclusion : Ainsi, mon travail de doctorat a permis de mieux comprendre 1) la versatilité structurale du domaine TPR de KLC, 2) l’impact du domaine PTB de JIP1 pour son recrutement par KLC et 3) le mode d’interaction de JIP1 par KLC. Sur la base de ces données, je discuterai les bases structurales du mode d’interaction de KLC avec JIP1 et le comparerai à celui de KLC avec les cargos à motif WD, comme SKIP et Alcadéine-α.AbstractKinesins are molecular motors involved in the intracellular transport of many cargos within the cell. Although the motility of kinesins is well understood, the molecular mechanisms underlying cargo recruitment are much less so.Kinesin1 plays various roles in neuronal cells, where it contributes to the spatial and temporal organization of many cellular components. It would play a role in various neurological pathologies, such as Alzheimer's disease. Understanding how kinesin1 recognizes and interacts with its cargos is important to decorticate its role, as well as that of its cargos, in normal and pathological cells. Kinesin1 is a heterotetramer consisting of two heavy chains (KHC) and two light chains (KLC), both of which are capable of recruiting cargo proteins. One of the first cargo proteins to have been identified is JIP1 (JNK-interacting protein 1) which is: (i) a scaffold protein for the signaling pathway of MAP kinases and (ii) an adaptor protein for transporting amyloid precursor protein (APP) responsible for Alzheimer's disease. In both cases, JIP1 regulates critical processes at the cell level, making it an interesting protein to study. Early studies have led to a better understanding of how JIP1 is recruited and transported by kinesin1. However, the detail of the interaction between KLC and JIP1 is not yet fully described and therefore understood.Objectives: My doctoral work aims at characterizing at the molecular level the interaction between KLC and JIP1. To do this, I had the following objectives: 1) to characterize the interaction domains of the two proteins alone, 2) to study the formation of the complex in solution by biophysical approaches, and 3) to determine the 3D structure of the complex by crystallography.Results: Initially, I characterized the TPR domain of KLC alone, contributing among others to the development of a molecular toolbox. I also participated in the determination of two crystallographic structures of the TPR domain of KLC1/2 that highlights the structural plasticity of the first helix of this domain (Nguyen et al, submitted). In a second step, I set up the conditions for the expression and purification of the PTB domain of JIP1 and carry out the structural characterization of this domain in solution. Although this domain of JIP1 is not necessary for interaction with KLC, I studied the impact of its presence on recruitment by KLC. Finally, I characterized the recruitment of JIP1 by KLC by confirming a number of information on the interaction between the KLC-TPR and the C-terminal region (Cter) of JIP1 at the molecular level. The numerous crystallization tests that I carried out did not make it possible to obtain crystals of the KLC: JIP1 complex. However, I was able to precisely map the interaction zone of JIP1-Cter with the KLC-TPR domain using the various KLC tools available by determining by ITC their affinity with JIP1-Cter (Nguyen et al., In preparation ).Conclusion: Thus, my PhD work allowed to better understand 1) the structural versatility of the KLC-TPR domain, 2) the impact of the JIP1-PTB domain for its KLC recruitment, and 3) the interaction mode of JIP1 by KLC . On the basis of these data, I will discuss the structural basis of the mode of binding of KLC with JIP1 and compare it with that of KLC with WD-motif cargo, such as SKIP and Alcadein-α
Caractérisation structurale du recrutement de la protéine JIP1 par la chaîne légère (KLC) de la kinésine1
No full textAbstractKinesins are molecular motors involved in the intracellular transport of many cargos within the cell. Although the motility of kinesins is well understood, the molecular mechanisms underlying cargo recruitment are much less so.Kinesin1 plays various roles in neuronal cells, where it contributes to the spatial and temporal organization of many cellular components. It would play a role in various neurological pathologies, such as Alzheimer's disease. Understanding how kinesin1 recognizes and interacts with its cargos is important to decorticate its role, as well as that of its cargos, in normal and pathological cells. Kinesin1 is a heterotetramer consisting of two heavy chains (KHC) and two light chains (KLC), both of which are capable of recruiting cargo proteins. One of the first cargo proteins to have been identified is JIP1 (JNK-interacting protein 1) which is: (i) a scaffold protein for the signaling pathway of MAP kinases and (ii) an adaptor protein for transporting amyloid precursor protein (APP) responsible for Alzheimer's disease. In both cases, JIP1 regulates critical processes at the cell level, making it an interesting protein to study. Early studies have led to a better understanding of how JIP1 is recruited and transported by kinesin1. However, the detail of the interaction between KLC and JIP1 is not yet fully described and therefore understood.Objectives: My doctoral work aims at characterizing at the molecular level the interaction between KLC and JIP1. To do this, I had the following objectives: 1) to characterize the interaction domains of the two proteins alone, 2) to study the formation of the complex in solution by biophysical approaches, and 3) to determine the 3D structure of the complex by crystallography.Results: Initially, I characterized the TPR domain of KLC alone, contributing among others to the development of a molecular toolbox. I also participated in the determination of two crystallographic structures of the TPR domain of KLC1/2 that highlights the structural plasticity of the first helix of this domain (Nguyen et al, submitted). In a second step, I set up the conditions for the expression and purification of the PTB domain of JIP1 and carry out the structural characterization of this domain in solution. Although this domain of JIP1 is not necessary for interaction with KLC, I studied the impact of its presence on recruitment by KLC. Finally, I characterized the recruitment of JIP1 by KLC by confirming a number of information on the interaction between the KLC-TPR and the C-terminal region (Cter) of JIP1 at the molecular level. The numerous crystallization tests that I carried out did not make it possible to obtain crystals of the KLC: JIP1 complex. However, I was able to precisely map the interaction zone of JIP1-Cter with the KLC-TPR domain using the various KLC tools available by determining by ITC their affinity with JIP1-Cter (Nguyen et al., In preparation ).Conclusion: Thus, my PhD work allowed to better understand 1) the structural versatility of the KLC-TPR domain, 2) the impact of the JIP1-PTB domain for its KLC recruitment, and 3) the interaction mode of JIP1 by KLC . On the basis of these data, I will discuss the structural basis of the mode of binding of KLC with JIP1 and compare it with that of KLC with WD-motif cargo, such as SKIP and Alcadein-α.RésuméLes kinésines sont des moteurs moléculaires impliqués dans le transport intracellulaire de nombreux cargos au sein de la cellule. Bien que la motilité des kinésines soit bien comprise, les mécanismes moléculaires à la base du recrutement des cargos le sont beaucoup moins.La kinésine1 joue divers rôles dans les cellules neuronales, où elle contribue à l’organisation spatiale et temporelle de nombreux composants cellulaires. Elle jouerait un rôle dans différentes pathologies neurologiques, comme la maladie d’Alzheimer. Comprendre comment la kinésine1 reconnaît et interagit avec ses cargos est important pour déterminer son rôle, ainsi que celui de ses cargos, au niveau du fonctionnement des cellules normales et pathologiques. La kinésine1 est un hétérotétramère constitué de deux chaînes lourdes (KHC) et de deux chaînes légères (KLC) toutes deux étant capables de recruter des protéines cargos. L’une des premières protéines cargos à avoir été identifiée est JIP1 (JNK-interacting protein 1) qui est, entre autres: (i) une protéine d’échafaudage pour la voie de signalisation des MAP kinases et (ii) une protéine adaptatrice pour le transport de la protéine précurseur de l’amyloïde (APP) responsable de la maladie d’Alzheimer. Dans les deux cas, JIP1 régule des processus critiques au niveau de la cellule, ce qui en fait une protéine intéressante à étudier. Des premières études ont permis de mieux comprendre comment JIP1 est recrutée et transportée par la kinésine1. Cependant, le détail de l’interaction entre KLC et JIP1 n’est pas encore complètement décrit et donc compris.Objectifs : Mon travail de doctorat vise à caractériser au niveau moléculaire l’interaction entre KLC et JIP1. Pour ce faire, j’avais pour objectifs : 1) de caractériser les domaines d’interaction des deux protéines seules, 2) d’étudier la formation du complexe en solution par des approches biophysiques et 3) de déterminer la structure 3D du complexe par cristallographie.Résultats : Dans un premier temps, j’ai caractérisé le domaine TPR de KLC seul en contribuant entre autres au développement d’une boite à outils moléculaires. J’ai aussi participé à la détermination de deux structures cristallographiques du domaine TPR de KLC1/2 permettant de mettre en évidence la plasticité structurale de la 1ère hélice de ce domaine (Nguyen et al, soumis). Dans un second temps, j’ai mis en place les conditions d’expression et de purification du domaine PTB de JIP1 et mener la caractérisation structurale de ce domaine en solution. Bien que ce domaine de JIP1 ne soit pas nécessaire pour l’interaction avec KLC, j’ai pu étudier l’impact de sa présence au niveau du recrutement par KLC. Finalement, j’ai caractérisé le recrutement de JIP1 par KLC en confirmant tout d’abord un certain nombre d’information sur l’interaction entre le domaine TPR de KLC et la région C-terminale (Cter) de JIP1 au niveau moléculaire. Les nombreux essais de cristallisation que j’ai menés n’ont pas permis d’obtenir des cristaux du complexe KLC:JIP1. J’ai cependant pu cartographier de façon précise la zone d’interaction de JIP1-Cter avec le domaine TPR de KLC en employant les différents outils de KLC disponibles pour déterminer par calorimétrie leur affinité avec JIP1-Cter (Nguyen et al., en préparation).Conclusion : Ainsi, mon travail de doctorat a permis de mieux comprendre 1) la versatilité structurale du domaine TPR de KLC, 2) l’impact du domaine PTB de JIP1 pour son recrutement par KLC et 3) le mode d’interaction de JIP1 par KLC. Sur la base de ces données, je discuterai les bases structurales du mode d’interaction de KLC avec JIP1 et le comparerai à celui de KLC avec les cargos à motif WD, comme SKIP et Alcadéine-α
Caractérisation structurale du recrutement de la protéine JIP1 par la chaîne légère (KLC) de la kinésine1
No full textAbstractKinesins are molecular motors involved in the intracellular transport of many cargos within the cell. Although the motility of kinesins is well understood, the molecular mechanisms underlying cargo recruitment are much less so.Kinesin1 plays various roles in neuronal cells, where it contributes to the spatial and temporal organization of many cellular components. It would play a role in various neurological pathologies, such as Alzheimer's disease. Understanding how kinesin1 recognizes and interacts with its cargos is important to decorticate its role, as well as that of its cargos, in normal and pathological cells. Kinesin1 is a heterotetramer consisting of two heavy chains (KHC) and two light chains (KLC), both of which are capable of recruiting cargo proteins. One of the first cargo proteins to have been identified is JIP1 (JNK-interacting protein 1) which is: (i) a scaffold protein for the signaling pathway of MAP kinases and (ii) an adaptor protein for transporting amyloid precursor protein (APP) responsible for Alzheimer's disease. In both cases, JIP1 regulates critical processes at the cell level, making it an interesting protein to study. Early studies have led to a better understanding of how JIP1 is recruited and transported by kinesin1. However, the detail of the interaction between KLC and JIP1 is not yet fully described and therefore understood.Objectives: My doctoral work aims at characterizing at the molecular level the interaction between KLC and JIP1. To do this, I had the following objectives: 1) to characterize the interaction domains of the two proteins alone, 2) to study the formation of the complex in solution by biophysical approaches, and 3) to determine the 3D structure of the complex by crystallography.Results: Initially, I characterized the TPR domain of KLC alone, contributing among others to the development of a molecular toolbox. I also participated in the determination of two crystallographic structures of the TPR domain of KLC1/2 that highlights the structural plasticity of the first helix of this domain (Nguyen et al, submitted). In a second step, I set up the conditions for the expression and purification of the PTB domain of JIP1 and carry out the structural characterization of this domain in solution. Although this domain of JIP1 is not necessary for interaction with KLC, I studied the impact of its presence on recruitment by KLC. Finally, I characterized the recruitment of JIP1 by KLC by confirming a number of information on the interaction between the KLC-TPR and the C-terminal region (Cter) of JIP1 at the molecular level. The numerous crystallization tests that I carried out did not make it possible to obtain crystals of the KLC: JIP1 complex. However, I was able to precisely map the interaction zone of JIP1-Cter with the KLC-TPR domain using the various KLC tools available by determining by ITC their affinity with JIP1-Cter (Nguyen et al., In preparation ).Conclusion: Thus, my PhD work allowed to better understand 1) the structural versatility of the KLC-TPR domain, 2) the impact of the JIP1-PTB domain for its KLC recruitment, and 3) the interaction mode of JIP1 by KLC . On the basis of these data, I will discuss the structural basis of the mode of binding of KLC with JIP1 and compare it with that of KLC with WD-motif cargo, such as SKIP and Alcadein-α.RésuméLes kinésines sont des moteurs moléculaires impliqués dans le transport intracellulaire de nombreux cargos au sein de la cellule. Bien que la motilité des kinésines soit bien comprise, les mécanismes moléculaires à la base du recrutement des cargos le sont beaucoup moins.La kinésine1 joue divers rôles dans les cellules neuronales, où elle contribue à l’organisation spatiale et temporelle de nombreux composants cellulaires. Elle jouerait un rôle dans différentes pathologies neurologiques, comme la maladie d’Alzheimer. Comprendre comment la kinésine1 reconnaît et interagit avec ses cargos est important pour déterminer son rôle, ainsi que celui de ses cargos, au niveau du fonctionnement des cellules normales et pathologiques. La kinésine1 est un hétérotétramère constitué de deux chaînes lourdes (KHC) et de deux chaînes légères (KLC) toutes deux étant capables de recruter des protéines cargos. L’une des premières protéines cargos à avoir été identifiée est JIP1 (JNK-interacting protein 1) qui est, entre autres: (i) une protéine d’échafaudage pour la voie de signalisation des MAP kinases et (ii) une protéine adaptatrice pour le transport de la protéine précurseur de l’amyloïde (APP) responsable de la maladie d’Alzheimer. Dans les deux cas, JIP1 régule des processus critiques au niveau de la cellule, ce qui en fait une protéine intéressante à étudier. Des premières études ont permis de mieux comprendre comment JIP1 est recrutée et transportée par la kinésine1. Cependant, le détail de l’interaction entre KLC et JIP1 n’est pas encore complètement décrit et donc compris.Objectifs : Mon travail de doctorat vise à caractériser au niveau moléculaire l’interaction entre KLC et JIP1. Pour ce faire, j’avais pour objectifs : 1) de caractériser les domaines d’interaction des deux protéines seules, 2) d’étudier la formation du complexe en solution par des approches biophysiques et 3) de déterminer la structure 3D du complexe par cristallographie.Résultats : Dans un premier temps, j’ai caractérisé le domaine TPR de KLC seul en contribuant entre autres au développement d’une boite à outils moléculaires. J’ai aussi participé à la détermination de deux structures cristallographiques du domaine TPR de KLC1/2 permettant de mettre en évidence la plasticité structurale de la 1ère hélice de ce domaine (Nguyen et al, soumis). Dans un second temps, j’ai mis en place les conditions d’expression et de purification du domaine PTB de JIP1 et mener la caractérisation structurale de ce domaine en solution. Bien que ce domaine de JIP1 ne soit pas nécessaire pour l’interaction avec KLC, j’ai pu étudier l’impact de sa présence au niveau du recrutement par KLC. Finalement, j’ai caractérisé le recrutement de JIP1 par KLC en confirmant tout d’abord un certain nombre d’information sur l’interaction entre le domaine TPR de KLC et la région C-terminale (Cter) de JIP1 au niveau moléculaire. Les nombreux essais de cristallisation que j’ai menés n’ont pas permis d’obtenir des cristaux du complexe KLC:JIP1. J’ai cependant pu cartographier de façon précise la zone d’interaction de JIP1-Cter avec le domaine TPR de KLC en employant les différents outils de KLC disponibles pour déterminer par calorimétrie leur affinité avec JIP1-Cter (Nguyen et al., en préparation).Conclusion : Ainsi, mon travail de doctorat a permis de mieux comprendre 1) la versatilité structurale du domaine TPR de KLC, 2) l’impact du domaine PTB de JIP1 pour son recrutement par KLC et 3) le mode d’interaction de JIP1 par KLC. Sur la base de ces données, je discuterai les bases structurales du mode d’interaction de KLC avec JIP1 et le comparerai à celui de KLC avec les cargos à motif WD, comme SKIP et Alcadéine-α
Analysis and simulation of evacuation routes during disaster situations: a case study in Kuala Lumpur City (KLC)
No full textKuala Lumpur City (KLC) is susceptible to disasters because of its large population, crucial infrastructure, and vital economy. In this study, we used the disaster risk maps generated for fl ash floods and landslide hazards in KLC to identify key areas for humanitarian assistance and disaster relief (HADR) activities. We employed analysis and simulations to determine the most effective evacuation routes from key areas to crucial HADR centres, including medical facilities, police stations, fi re stations, and temporary evacuation centres, during a disaster. We conducted the investigation by considering factors like evacuation time, route accessibility, and overall efficiency. We proposed multiple routes during the disaster scenario, including the use of alternative roads with reduced capacity if the major roads became inaccessible. This case study highlights the significance of ongoing evaluation and improvement of evacuation preparations. The measures, including the use of cutting-edge traffic management systems, frequent practice sessions and instruction for emergency responders, and heightened public awareness and preparedness initiatives, could potentially improve evacuation time. By implementing these strategies, KLC may enhance its ability to withstand and respond to disaster scenarios, thereby safeguarding lives and mitigating the potential consequences of disasters. The results of this study could provide useful insights for Kuala Lumpur City Hall to plan evacuation routes during a disaster
Optimalisasi Supply Bahan Baku Terhadap Demand Konsumen Pada Agroindustri Kopi Luwak (Civet Coffee) PT. KLC, Jawa Barat
No full textRantai pasok dalam kegiatan agroindustri di PT.KLC meliputi pemasok bahan baku utama hingga kepada konsumen, masa panen raya buah kopi hanya selama 4 bulan, penjualan Kopi Luwak yang fluktuatif menyebabkan kondisi Ketika kondisi permintaan rendah, stock Kopi Luwak di PT. KLC tinggi menyebabkan kerugian sebab biji kopi akan dijual dengan harga 75% karena penurunan kualitas dan kondisi permintaan tinggi stock Kopi Luwak rendah menyebabkan lost profit produk Kopi Luwak tidak dapat memenuhi permintaan konsumen. Tujuan penelitian adalah menganalisis pola permintaan konsumen Kopi Luwak pada 3 periode sebelumnya di PT. KLC dengan analisis Time Series ARIMA agar menjadi acuan peramalan di periode selanjutnya serta analisis dari sisi operasional dan penjualan dengan metodologi Sales and Operational Planning dan Material Requirement Planning untuk mengendalikan supply bahan baku dengan acuan forecast. Hasil penelitian metodologi peramalan konsumen dengan Time series ARIMA menjadi solusi alternatif untuk demand yang fluktuatif dimana pada bulan Januari didapatkan nilai forecast terendah 77,7 kg dan tertinggi 108,8 kg, analisis Sales and Operational Planning dapat mengoptimalkan kinerja rantai pasok dimana hasil penelitian membuktikan tidak membutuhkan semua luwaknya untuk memproduksi biji kopi artinya PT.KLC dapat memenuhi permintaan pasar tanpa adanya kendala kekurangan luwak. Terakhir analisis Material requirement planning untuk menentukan supply buah kopi tiap minggunya sesuai acuan forecast karena PT.KLC memiliki gudang penyimpanan produk sendiri maka tidak ada inventory cost. Saran dari penelitian ini untuk membantu PT.KLC menangani masalah supply musiman adalah mempersiapkan Cold Storage atau Chiller room, dimana dapat memperpanjang usia simpan buah maka PT.KLC memiliki safety stock untuk buah kopi yang dapat digunakan kapan pun.
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The supply chain in agro-industry activities at PT.KLC includes suppliers of main raw materials to consumers, the coffee fruit harvest period is only 4 months, the fluctuating sales of Kopi Luwak cause conditions when demand conditions are low, the stock of Kopi Luwak at PT. The high KLC causes losses because the coffee beans will be sold at a price of 75% due to the decline in quality and conditions of high demand for low civet coffee stocks causing losses that the civet coffee products cannot meet consumer demand. The purpose of the study was to analyze the pattern of consumer demand for Kopi Luwak in the previous 3 periods at PT. KLC with ARIMA Time Series analysis to be a reference for forecasting in the next period as well as analysis from the operational and sales side with Sales and Operational Planning and Material Requirement Planning methodologies to control the supply of raw materials with forecast reference. The results of the consumer forecasting methodology research with the ARIMA Time series are an alternative solution for fluctuating demand where in January the lowest value is estimated at 77.7 kg and the highest is 108.8 kg, Sales and Operational Planning analysis can optimize supply chain performance where the research results prove not requires all its civets to produce coffee beans, meaning that PT. KLC can meet market demand without the problem of lack of mongoose. Final analysis Planning material requirements to determine weekly supply of coffee cherries according to the latest forecast because PT. KLC has its own product storage warehouse, so there is no inventory cost. Suggestions from this research to help PT. KLC deal with seasonal supply problems is to prepare Cold Storage or Chiller room, which can extend the shelf life of fruit, PT. KLC has a safety stock for coffee cherries that can be used anytime
The reconstruction of Proto-Kikongo segmental phonology
No full textIn this paper we propose a reconstruction of the segmental phonology of the most recent common ancestor of the KLC, i.e. Proto-Kikongo. This reconstruction is based on a large-scale comparative study of phonological micro-variation in the KLC and not only considers comparative series corresponding to existing Bantu lexical reconstructions, but also new KLC-specific comparative cognate series, which will ultimately allow for the reconstruction of a new Proto-Kikongo vocabulary. Also long-distance phonological processes are taken into account. The reconstruction of Proto-Kikongo segmental phonology will eventually lead to a better understanding of the internal classification of the KLC
A proposal for a more sustainable catering service for KL Cityhopper Fairline
No full textReducing the impact of flying is a concern in the aviation industry, especially on the short haul flights. KL Cityhopper (KLC) noticed they create food waste onboard of their European flights because they have a one-fits-all catering solution. They are aware that all back-up food and beverage options brought into the air cause extra weight and extra CO2 emission. They want their catering to have the option to be personalized to the needs of their passenger. This graduation project explores a new more sustainable way of providing a catering service to the passenger for the KLC Fairline. The internal and external analyses have been done to explore the current aviation catering and the behaviour of passengers; all gave valuable insights. The internal analysis showed that the catering on short haul is not possible to customize in advance. It is a free product provided during the flight and the passengers are not completely informed about what can be expected. While the longer flights have communications and choices in advance for the different types of catering onboard. Next to that, there is limited insights to the actual use of the service onboard. The competitors show in advance what can be expected of the free or paid services, using onboard magazines or websites with short movies. Resulting in insights about specific use per location.The passengers of KLC are demographically quite different, better to describe them by their needs during the journey. These diverse needs in the passenger travel journey are further explored by interviews, with the focus on the time they spend waiting at the airport.The future economy catering service of the KLC Fairline should be a brand store at the major airports, so KL can make use of this store too. The passengers can pick-up their own food and beverages and take it with them on the plane. The service will provide more options to fit better with the diverse food and beverage needs of passengers. The brand store is more sustainable solution because it will remove all catering trolleys from the planes on the short haul, it reduces weight and CO2 emission. The food waste will decrease significantly since the store has a system to keep track of the actual use of the service, further optimization of the service use is possible. The passengers informed of what is possible with the catering using information online, in e-mails and the KL-app.A roadmap for the KL catering service is made that includes the short, medium and long-haul flights. The steps for KLC from the current situation to the vision service are described, including how the current A La Carte product on the long haul can be extended to the medium haul.Integrated Product Desig
Characteristics of known leprosy contact in a high endemic area in Brazil.
No full textBACKGROUND AND PURPOSE: The annual number of new cases of leprosy has not declined in Brazil over the last 15 years, indicating that transmission continues at the same level. To study transmission, we interviewed leprosy patients about their known leprosy contact (KLC). METHODS: Clinical and demographic data were collected from 506 leprosy patients in four health units in the Metropolitan Region of Vitŕia, State of Espírito Santo, Brazil. SPSS 9.0 was used as a database and analysis. RESULTS: Two hundred and twenty-six (44.7%) of 506 leprosy patients reported KLC, 136 (60.2%) of 226 were parents. Among 226, the mean of KLC was 1.89 (SD +/- 1.65), and 61.3% had one KLC. KLC as a household contact was reported by 92 (40.7%) out of 226, and 121 (53.5%) had no household contact. KLC were most frequently sisters and brothers in the PB cases, and sons/daughters in MB cases. Mothers occurred more frequently as a KLC than fathers. From the leprosy patients that had reported household contacts, 73% said that at the onset of their skin lesions, the KLCs were either undergoing were not yet released from treatment (RFT), and 23.45% had not begun the treatment yet. Altogether, 62.3% of 226 cases had daily contact with the KLC. CONCLUSION: In Brazil, household contacts, including the family members (mothers, sisters and brothers), as well as the social contact need to be investigated by the control programs
COMPARATION OF DISTRIBUTED DATABASE MODEL BY CLUSTERING METHOD IN E-GOVERNMENT SYSTEM. STUDY AT KEMENKEU RI
No full textMySQL is one of the most popular open source database in the world based on its performance, its reliability, and its easiness that has been proved. MySQL is categorized into community version and commercial version. The commercial version has standalone architecture models and clusters.Database Clustering is one of distributed database model. The case study used is Kemenkeu Learning Center (KLC) Application which is an e-government application in Ministry of Finance. KLC application used for interactive learning media for all ASN especially ASN in Ministry of Finance. This makes the KLC application being categorized into a very high critical application, so it takes a good response time and has high availability. One of the most important factors to fulfill this need is by deciding the appropriate MySQL database architecture for KLC application. This research was conducted by creating 3 (three) database architecture models according to best practice from MySQL, namely the Standalone architecture model, InnoDB Cluster and NDB Cluster. Then tested with several different scenarios to get results in the form of response time and percentage of errors that indicate high availability capabilities. The tools used in testing are Apache JMeter. From the test results, it is found that the MySQL NDB Cluster is the right database architecture model in an effort to realize the need for database services with the best response time and high availability capabilities
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