Exhaustive Search-based Model for Hybrid Sensor Network

A new model for a cluster of hybrid sensors network with multi sub-clusters is proposed. The model is in particular relevant to the early warning system in a large scale monitoring system in, for example, a nuclear power plant. It mainly addresses to a safety critical system which requires real-time processes with high accuracy. The mathematical model is based on the extended conventional search algorithm with certain interactions among the nearest neighborhood of sensors. It is argued that the model could realize a highly accurate decision support system with less number of parameters. A case of one dimensional interaction function is discussed, and a simple algorithm for the model is also given.Comment: 6 pages, Proceeding of the International Conference on Intelligent & Advanced Systems 2012 pp. 557-56

A performance study of anomaly detection using entropy method

An experiment to study the entropy method for an anomaly detection system has been performed. The study has been conducted using real data generated from the distributed sensor networks at the Intel Berkeley Research Laboratory. The experimental results were compared with the elliptical method and has been analyzed in two dimensional data sets acquired from temperature and humidity sensors across 52 micro controllers. Using the binary classification to determine the upper and lower boundaries for each series of sensors, it has been shown that the entropy method are able to detect more number of out ranging sensor nodes than the elliptical methods. It can be argued that the better result was mainly due to the lack of elliptical approach which is requiring certain correlation between two sensor series, while in the entropy approach each sensor series is treated independently. This is very important in the current case where both sensor series are not correlated each other.Comment: Proceeding of the International Conference on Computer, Control, Informatics and its Applications (2017) pp. 137-14

Analisa Kinerja Sistem Shutdown Valve Pada Sistem Perpipaan Untuk Proses Loading Dan Unloading Di Pertamina (Persero) Refinery Unit VI Balongan

Sistem perpipaan loading dan unloading merupakan salah satu sistem terpenting di PT. PERTAMINA (Persero) RU VI Balongan yang berfungsi sebagai jalur bongkar dan pengisian minyak mentah dari kapal tengker ke tangki penyimpanan (storage tank). Pada jalur perpipaan loading-unloading terdapat suatu sistem keamanan berupa emergency shutdown valve yang berfungsi untuk menutup aliran crude oil dari subsea pipeline menuju ke tangki penyimpanan apabila terdapat bahaya. Sejak pertama dioperasikan hingga sekarang emergency shutdown vavlve tidak pernah digunakan karena tidak pernah terjadi bahaya, akan tetapi pada sistem tersebut akan dilakukan pengembangan/penambahan jalur aliran crude oil ke meterring system dengan kapasitas yang relatif besar. Oleh karena itu penelitian ini dilakukan untuk menganalisa kinerja emergency shutdown valve melalui pengamatan waktu respon yang diperlukan valve untuk menutup aliran terhadap jenis aliran fluidanya (crude oil Duri, Minas, DCO dan Jati Barang), selain itu dilakukan pengamatan terhadap pola aliran fluidamya ketika valve mulai menutup (tutupan 0%, 25%, 50%, 75% dan 85%). Dari pengamatan tersebut diperoleh bahwa Apabila ditinjau dari nilai time respons shutdown valve, kinerja shutdown valve masih tergolong bagus, karena dapat menutup aliran fluida dalam waktu 72 detik dari diameter pipa sebesar 36 inch. Sedangkan apabila ditinjau dari ΔP sistem terhadap jenis aliran crude oil dan jenis prosesnya dapat dikatakan bahwa kinerja shutdown valve paling bagus ketika proses unloading, karena nilai ΔP paling besar yaitu1,4 x 10-4 N/m2. Dari hasil pengamatan pola aliran fluida, tekanan paling besar saat fluida menumbuk valve pada tutupan 85%

Alat Pengusang Cepat IPB 77-1 MM Untuk Penapisan Vigor Daya Simpan Benih Kedelai

Accelerated Aging Machine “IPB 77-1 MM” could be used for soybean seed screening based on the seed storability vigor. The aim of the research was to identify simple, fast and accurate accelerated aging method using accelerated aging machine IPB 77-1 MM. Two methods of accelerated aging test (physical and chemical treatment) were applied to seeds of Anjasmoro soybean variety. The best accelerated aging method was then used to screen seed storability vigor of 23 soybean varieties. Seed storability vigor of 23 soybean varieties were detected using accelerated aging machine IPB 77-1 MM and each was compared with the seed storability vigor of those stored 10 weeks in controlled storage. Results of the experiment showed that using chemical or physical treatment on accelerated aging process were able to decrease seed vigor, but chemical treatment decreased seed vigor faster, more simple and more practical. Accelerated aging machine IPB 77-1 MM could also be used for screening varietal seed storability vigor of soybean using electrical conductivity test

Daya Simpan Benih Jabon Putih [Neolamarckia Cadamba (Roxb.) Bosser] Berdasarkan Populasi Dan Karakteristik Benih (Seed Storability of Jabon Putih [Neolamarckia Cadamba (Roxb.) Bosser] Base on Populations and Seed Characteristics)

Jabon putih [Neolamarckia cadamba (Roxb.) Bosser] has been cultivated in large scale. However it is constrained by the availability of high quality seeds and seed storability information. This study aimed to identify seed storability of jabon putih based on populations and seed morpho-physiological characteristics. Seeds were collected from eight populations, located in eight provinces. Population was a single factor in a completely randomized design for testing the germination characteristics (germination capacity, germination uniformity, germination speed, mean germination time and germination value) before and after storage. Geo-climate and soil macro elements were used as parameters to examine the correlation between environmental factors and seed characteristics before and after storage. Population was significantly correlated with germination characteristics, before and after storage for 54 months. The results indicated that seeds from Pomalaa population had the best germination characteristics, while those from Ogan Kemiring Ilir had the worst germination characteristics. Based on moisture content and storability, jabon putih seed could be categorized as orthodox that can be stored in long time at low temperatures with low moisture content. Geo-climate and soil macro element were not significantly correlated with germination. This result indicated that genetic factor had high contribution to seed storability of jabon putih

Optimasi Pengeringan Benih Jagung dengan Perlakuan Prapengeringan dan Suhu Udara Pengeringan

Penelitian ini bertujuan untuk meningkatkan efisiensi pengeringan benih jagung melalui pengembangan rancangan sistempengeringan dan melakukan kombinasi perlakuan prapengeringan dengan suhu udara pengeringan untuk mendapatkan mutubenih yang maksimum. Prapengeringan dapat dilakukan dengan cara menghembuskan udara suhu kamar menggunakanmesin blower dan dilakukan sebelum benih jagung diberikan perlakuan udara panas. Penelitian terdiri atas 3 tahap, yaitu(1) Perancangan sistem pengeringan, (2) Optimasi pengeringan benih jagung, dan (3) Analisis ekonomi. Kegiatan pertamaterdiri atas 2 tahap, yaitu pembuatan dan pengujian mini box dryer. Optimasi pengeringan benih jagung terdiri atas 2 faktorperlakuan, yaitu prapengeringan (0, 12, 24, dan 36 jam), dan suhu udara pengeringan (40, 45, 50, dan 55 °C), menggunakanrancangan kelompok lengkap teracak dengan 3 ulangan. Analisis mutu fisik dan fisiologis dilakukan untuk mendapatkanperlakuan yang mampu menghasilkan benih dengan kualitas baik. Analisis ekonomi dilakukan untuk mengetahui perlakuanyang memiliki B/C Ratio paling tinggi. Hasil percobaan menunjukkan bahwa kombinasi perlakuan prapengeringan 36jam dan suhu udara pengeringan 50 °C merupakan perlakuan optimum pada pengeringan benih jagung, karena mampu menghasilkan benih dengan kualitas baik dan memiliki B/C Ratio paling tinggi

Customer Satisfaction toward Online Purchasing Services: Evidence from Small & Medium Restaurants

This study examines shopper satisfaction toward an online purchasing model in small and medium restaurants (SMRs), including the quality of e-service and food, with perceived value as the determinants. For this research purpose, 392 data gathered from online restaurant shoppers in Bandung, Indonesia. This study adopts the Structural Equation Model (PLS) to evaluate shopper satisfaction relations with its determinants as well as consequences. The results uncover that both the quality of e-service and food on shopper satisfaction is essential, and disclose the partial mediation function of perceived value to assess the relationship between both qualities on shopper satisfaction. This study offers a guide to SMR managers to enhance their business performance by focusing on the quality of food, instead of focusing on both the quality of e-service and food. In terms of online service-based businesses, this research implies that the SMRs need to collaborate with reliable online platform service providers

Investing in Islamic Fixed Deposit Accounts: A Technology Acceptance Model Perspective

This study is aimed at explaining the factors determining consumer acceptance of online Islamic fixed deposit accounts. Besides, the mediating role of attitude is also examined. Considering the Technology Acceptance Model (TAM), this study evaluates the impacts of perceived usefulness, perceived ease of use along with attitude on consumer acceptance using a survey questionnaire. In terms of findings, PLS results suggest that perceived usefulness, perceived ease of use and attitude are instrumental in determining consumer acceptance. Attitude also serves as a valid mediator for the model developed. Likewise, the topic of this study is focused on consumer acceptance instead of actual behaviour along with its limited number of factors examined. The results obtained provide a benchmark to managers of Islamic banks to promote online transactions among bank customers on Islamic fixed accounts. Besides, this study expands the TAM’s application to include online Islamic fixed deposit accounts

Modelling passenger loyalty towards app-based motorcycle taxi

This study evaluates the effect of both service quality and mobile application quality on passenger loyalty towards application-based motorcycle taxi (AMT) services. The data employed for this study were collected from 319 AMT service users in Bandung, Indonesia. To analyse the data, partial least squares structural equation modelling (PLS-SEM) was used to check the influence of both service quality and application quality on passenger loyalty and their indirect influence through passenger perceived value and passenger satisfaction. The result shows that the passenger perception of mobile app quality is an important driver of passenger loyalty towards AMT services. Further, this study suggests that the effect of both service quality and mobile app quality on passenger loyalty is via strengthening passenger perceived value and satisfaction. Finally, this study’s findings reveal the important role of mobile app quality as the determinant of AMT service quality. This study provides a venue for AMT business managers to improve their business performance by developing both service quality and mobile app quality

Consumer adoption of online-to-offline food delivery services: A conceptual model

There is a dramatic growth in the market of Online-To-Offline food delivery services (O2O-FDS) recently. A need exists for the stakeholders of food and catering industries to better understand the market of O2O-FDS in order to create suitable marketing strategies and promotion policies for this promptly changing e-commerce era. However, there is a lack of understanding of the significant factors influencing the consumer adoption of O2O-FDS. This study develops a conceptual model to help systematically understand those important factors. The model is developed based on a literature review concerning the O2O-FDS topic and other relevant topics in food marketing and consumer behaviour. It shows that the O2O-FDS adoption is significantly influenced by food choice motives, socio-demographics, innovation-adoption characteristics, and APP-service quality