bluuebunny/crossref_metadata_2025 huggingface dataset:
New cationic Ir(iii) complexes without “any soft substituents”: aggregation-induced emission and piezochromic luminescence
Authors: Wang Yue , Yang Tianzhi , Liu Xingman , Li Guangfu , Che Weilong , Zhu Dongxia , Su Zhongmin
Published: October 2018

Two new aggregation-induced emission (AIE)-active cationic Ir(iii) complexes with relatively rigid ligands have been rationally designed and synthesized, exhibiting excellent piezochromic luminescence (PCL) properties.
Expression of human miR-200b-3p and -200c-3p in cytomegalovirus-infected tissues
Authors: Lee Kyoung Hwa , Lim Beom Jin , Ferreira Victor H. , Min Seo Yeon , Hong Yeon-Mi , Jo Jeong-Hyeon , Han Sang Hoon
Published: October 2018

Human cytomegalovirus (HCMV) infection can cause inflammatory tissue-invasive end-organ diseases upon lytic replication. In humans, mature miR-200b-3p and -200c-3p suppress the synthesis of HCMV immediate early 2 (IE2) protein by binding to the 3′-UTR of the mRNA encoded by the unique long (UL) 122-123 region in human foreskin fibroblasts and pre-transplant peripheral blood mononuclear cells stimulated with HCMV. The present study aimed to quantitate the expression of Homo sapiens (hsa)-miR-200b-3p and 200c-3p in HCMV-infected tissues. We collected 240 HCMV-infected and 154 HCMV-non-infected, formalin-fixed, paraffin-embedded tissue samples of the gastrointestinal (GI) tract and bronchi/lungs. MiRNAs, HCMV, and glyceraldehyde-3-phosphate dehydrogenase (GAPDH) were quantitated by quantitative reverse transcription-PCR (qRT-PCR) and quantitative PCR (qPCR) on the basis of standard curves generated using miRNA mimics, the HCMV strain from National Institute for Biological Standards and Control (NIBSC) 09/162, and GAPDH control. To avoid the effect of cell counts on the qRT-PCR and qPCR results, the data were normalized to GAPDH levels. HCMV-infected tissues had significantly lower levels of 200b-3p/GAPDH (3.03 ± 1.50 compared with 3.98 ± 1.08 log10 copies/μl, P<0.001) and 200c-3p/GAPDH (4.67 ± 1.84 compared with 6.35 ± 1.47 log10 copies/μl, P<0.001) than normal tissues. The values for 200b-3p/GAPDH (r = −0.51, P<0.001) and 200c-3p/GAPDH (r = −0.54, P<0.001) were significantly inversely correlated with HCMV load. Low tissue levels of 200b-3p and 200c-3p in humans are associated with cytopathic inflammation due to HCMV infection.
Metabolic engineering for the production of chitooligosaccharides: advances and perspectives
Authors: Ling Meixi , Li Jianghua , Du Guocheng , Liu Long
Published: October 2018

Chitin oligosaccharides (CTOs) and its related compounds chitosan oligosaccharides (CSOs), collectively known as chitooligosaccharides (COs), exhibit numerous biological activities in applications in the nutraceutical, cosmetics, agriculture, and pharmaceutical industries. COs are currently produced by acid hydrolysis of chitin or chitosan, or enzymatic techniques with uncontrollable polymerization. Microbial fermentation by recombinant Escherichia coli, as an alternative method for the production of COs, shows new potential because it can produce a well-defined COs mixture and is an environmentally friendly process. In addition, Bacillus subtilis, a nonpathogenic, endotoxin-free, GRAS status bacterium, presents a new opportunity as a platform to produce COs. Here, we review the applications of COs and differences between CTOs and CSOs, summarize the current preparation approaches of COs, and discuss the future research potentials and challenges in the production of well-defined COs in B. subtilis by metabolic engineering.
Maiden application of SSA‐optimised CC‐TID controller for load frequency control of power systems
Authors: Guha Dipayan , Roy Provas Kumar , Banerjee Subrata
Published: October 2018

This study describes a maiden application of salp swarm algorithm (SSA) optimised cascade tilt–integral–derivative controller (CC‐TID) for frequency and tie‐line power control of interconnected power systems (IPSs). The proposed controller includes both the merit of the cascade control algorithm and fractional‐order calculus. In the proposed CC‐TID controller, TID controller is used as a slave controller and a proportional–integral (PI) controller served the role of master controller. To elucidate the effectiveness, the designed controller has employed to, initially, two‐area IPS followed by four‐area IPS. SSA is used to pursue the optimum settings of the CC‐TID controller via the minimisation of area control error. Performances of CC‐TID controller is obtained and compared with I‐, PI‐, PI–derivative‐, cascade PI–PD, and TID controllers. Simulation results, apparently, show that SSA: CC‐TID controller exhibits superior performance compared with other controllers described above. Moreover, the performance of SSA is evaluated and compared with differential evolution and flower pollination algorithm in terms of convergence profile, power density, and statistical results. Finally, time‐varying step load perturbation and random load perturbation are applied to confirm the robust behaviour of SSA: CC‐TID controller.
MPPT control technique for solar powered direct torque control of induction motor drive with a robust speed and parameters adaptation scheme for water pumping
Authors: Shukla Saurabh , Singh Bhim
Published: October 2018

This paper presents a novel robust model reference adaptive system (MRAS) technique for rotor speed estimation of direct torque control (DTC) of an induction motor drive used for solar PV powered water pumping. The maximum power point tracking (MPPT) of PV array is assured by a proposed P&O algorithm, which has improved tracking time without deviation during insolation change. Moreover, an additional loop is incorporated in the MPPT control, which provides an additional feature of derating the panel, which consequently controls the flow rate. The effect of parameter variation e.g. change in rotor resistance, stator resistance and the rotor time constant on the stability of overall system, is analysed and tested. The MRAS involves fluxes estimation and uses the same machine parameters which are involved in DTC. The elimination of speed sensor and parameters adaptation make the overall induction motor drive (IMD) suitable for such application. The stability of the system is assured by Lyapunov's stability criterion and the stability of parameters adaptation is shown by Bode plot and well‐known Popov's stability criterion. Therefore, the reduced sensors (voltage and current sensors) based proposed system with deviation‐free MPPT technique and with flow rate controller, is modeled, simulated, and experimentally verified.
Umov effect in asteroid (3200) Phaethon
Authors: Zheltobryukhov Maxim , Chornaya Ekaterina , Kochergin Anton , Kornienko Gennady , Matkin Alexey , Ivanova Oleksandra , Luk’yanyk Igor , Zubko Evgenij
Published: October 2018

Context. The near-Earth asteroid (3200) Phaethon occasionally reveals a comet-like activity. It is a parent body to the Geminid meteor shower and considered as a target for the space mission called Demonstration and Experiment of Space Technology for Interplanetary Voyage Phaethon Flyby Dust Science, DESTINY+.

Aims. We aim to characterize Phaethon through measurements of the degree of linear polarization P measured on Phaethon at large phase angles on its closest approach to Earth on December 17, 2017. These observations allow a more accurate estimation of the maximum value of the degree of linear polarization Pmax of Phaethon, and therefore, of studying the Umov effect.

Methods. We performed polarimetric measurements of Phaethon at large phase angles α and thus constrained its Pmax. We also estimated the geometric albedo a based on the data available in the literature. The obtained Pmax and A were analysed with the Umov effect previously derived for the Moon that establishes an inverse linear correlation between log(Pmax) and log(A) in the lunar regolith.

Results. Our polarimetric observations of Phaethon in the visible reveal the degree of linear polarization P ≈ (17.23 ± 2.00)% at α ≈ 57.9° and P ≈ (31.86 ± 2.00)% at α ≈ 73.2°, which demonstrates no significant wavelength dependence within the error bars of our measurements (± 2%). These data, when combined with what has previously been reported in the literature, suggests at least three types of polarimetric response on Phaethon. For two of them, we infer the maximum linear polarization to be Pmax ≈ 57.9%, occurring at αmax = 131° and Pmax ≈ 44.5% occurring at αmax = 127°. We estimate the geometric albedo (adjusted to α = 3°) to be AR = 0.075 ± 0.007 in the R filter, which appears to be consistent with dark F-type asteroids, as which Phaethon was first classified. We examine the Umov diagrams previously inferred for lunar regolith and find that they are hardly applicable to Phaethon and therefore not to other asteroids either.
An optical transmission spectrum of the ultra-hot Jupiter WASP-33 b
Authors: von Essen C. , Mallonn M. , Welbanks L. , Madhusudhan N. , Pinhas A. , Bouy H. , Weis Hansen P.
Published: October 2018

There has been increasing progress toward detailed characterization of exoplanetary atmospheres, in both observations and theoretical methods. Improvements in observational facilities and data reduction and analysis techniques are enabling increasingly higher quality spectra, especially from ground-based facilities. The high data quality also necessitates concomitant improvements in models required to interpret such data. In particular, the detection of trace species such as metal oxides has been challenging. Extremely irradiated exoplanets (~3000 K) are expected to show oxides with strong absorption signals in the optical. However, there are only a few hot Jupiters where such signatures have been reported. Here we aim to characterize the atmosphere of the ultra-hot Jupiter WASP-33 b using two primary transits taken 18 orbits apart. Our atmospheric retrieval, performed on the combined data sets, provides initial constraints on the atmospheric composition of WASP-33 b. We report a possible indication of aluminum oxide (AlO) at 3.3-σ significance. The data were obtained with the long slit OSIRIS spectrograph mounted at the 10-m Gran Telescopio Canarias. We cleaned the brightness variations from the light curves produced by stellar pulsations, and we determined the wavelength-dependent variability of the planetary radius caused by the atmospheric absorption of stellar light. A simultaneous fit to the two transit light curves allowed us to refine the transit parameters, and the common wavelength coverage between the two transits served to contrast our results. Future observations with HST as well as other large ground-based facilities will be able to further constrain the atmospheric chemical composition of the planet.
Mixed H/He bursts in SAX J1748.9–2021 during the spectral change of its 2015 outburst
Authors: Li Z. , De Falco V. , Falanga M. , Bozzo E. , Kuiper L. , Poutanen J. , Cumming A. , Galloway D. K. , Zhang S.
Published: October 2018

SAX J1748.9–2021 is a transiently accreting X-ray millisecond pulsar. It is also known as an X-ray burster source discovered by Beppo-SAX. We analyzed the persistent emission and type-I X-ray burst properties during its 2015 outburst. The source changed from hard to soft state within half day. We modeled the broadband spectra of the persistent emission in the (1–250) keV energy band for both spectral states using the quasi-simultaneous INTEGRAL and Swift data. The broadband spectra are well fitted by an absorbed thermal Componization model, COMPPS, in a slab geometry. The best-fits for the two states indicate significantly different plasma temperature of 18 and 5 keV and the Thomson optical depths of three and four, respectively. In total, 56 type-I X-ray bursts were observed during the 2015 outburst, of which 26 detected by INTEGRAL in the hard state, 25 by XMM-Newton in the soft state, and five by Swift in both states. As the object transited from the hard to the soft state, the recurrence time for X-ray bursts decreased from ≈2 to ≈1 h. The relation between the recurrence time, Δtrec, and the local mass accretion rate per unit area onto the compact object, ṁ, is fitted by a power-law model, and yielded as best fit at Δtrec ∼ ⟨ṁ⟩−1.02±0.03 using all X-ray bursts. In both cases, the observed recurrence times are consistent with the mixed hydrogen and helium bursts. We also discuss the effects of type-I X-ray bursts prior to the hard to soft transition.
The VMC Survey
Authors: Zivkov Viktor , Oliveira Joana M. , Petr-Gotzens Monika G. , Cioni Maria-Rosa L. , Rubele Stefano , van Loon Jacco Th. , Bekki Kenji , Cusano Felice , de Grijs Richard , Ivanov Valentin D. , Marconi Marcella , Niederhofer Florian , Ripepi Vincenzo , Sun Ning-Chen
Published: October 2018

Context. Detailed studies of intermediate- and low-mass pre-main-sequence (PMS) stars outside the Galaxy have so far been conducted only for small targeted regions harbouring known star formation complexes. The VISTA Survey of the Magellanic Clouds (VMC) provides an opportunity to study PMS populations down to solar masses on a galaxy-wide scale.

Aims. Our goal is to use near-infrared data from the VMC survey to identify and characterise PMS populations down to ∼1 M⊙ across the Magellanic Clouds. We present our colour–magnitude diagram method, and apply it to a ∼1.5 deg2 pilot field located in the Large Magellanic Cloud.

Methods. The pilot field is divided into equal-size grid elements. We compare the stellar population in every element with the population in nearby control fields by creating Ks/(Y−Ks) Hess diagrams; the observed density excesses over the local field population are used to classify the stellar populations.

Results. Our analysis recovers all known star formation complexes in this pilot field (N 44, N 51, N 148, and N 138) and for the first time reveals their true spatial extent. In total, around 2260 PMS candidates with ages ≲10 Myr are found in the pilot field. PMS structures, identified as areas with a significant density excess of PMS candidates, display a power-law distribution of the number of members with a slope of −0.86 ± 0.12. We find a clustering of the young stellar populations along ridges and filaments where dust emission in the far-infrared (FIR) (70 μm–500 μm) is bright. Regions with young populations lacking massive stars show a lower degree of clustering and are usually located in the outskirts of the star formation complexes. At short FIR wavelengths (70 μm,100 μm) we report a strong dust emission increase in regions hosting young massive stars, which is less pronounced in regions populated only by less massive (≲4 M⊙) PMS stars.
Contrôle endosomal de la signalisation intracellulaire
Authors: Zanin Natacha , Blouin Cedric M.
Published: October 2018

Les récepteurs membranaires contrôlent les mécanismes essentiels tels que la croissance, l’adhésion, la différenciation et le métabolisme cellulaires via l’activation de voies de signalisation spécifiques. Il apparaît désormais que ces récepteurs ne signalent pas seulement depuis la surface des cellules, mais également, depuis des compartiments intracellulaires, en particulier les endosomes, seulement après avoir été internalisés avec leurs ligands via des voies d’endocytose différentes. Cette synthèse illustre comment une telle compartimentation spatio-temporelle de la transduction du signal permet un degré supplémentaire de régulation des processus cellulaires engagés.
Techno Economic Analysis of Hybrid Sea Floating Photovoltaic and Wind Turbine for Fish Cold Storage At Remote Island In Indonesia (Case Study: Small Kei Island, Maluku, Indonesia)
Authors: Rezki Fajry Fidel , Garniwa Iwa , Fajar Tofani Achmad
Published: October 2018

Most of fisherman in Small Kei Island, Indonesia, are difficult to keep the good quality of fish for several days because unavailability of Fish Cold Storage. Due to the area is also far from grid, this paper is aimed to analyse the most optimized sizing of integrating the new technology of sea floating photovoltaic and wind turbine to achieve the minimal levelized cost of energy for powering 100 tons of fish cold storage. Ten scenarios with implemented off-grid scheme by dividing battery bank into two equal parts that will be operated interchangeably to meet 24 hours load requirement on hybrid sea floating photovoltaic and wind turbine system are performed. As result, 100 kW of wind turbine and 803kWp of sea floating photovoltaic are chosen with the most minimal levelized cost of energy of USD 0.52/kWH by life cycle cost method of 20 years. With define electricity tariff of USD 0.81/kWH and interest loan of 9%, the economic analysis result fulfil of four indicators requirement with payback period of 6 years 6 months 20 days, net present value of USD 10,981, internal rate of return of 9.10%, and profitability index of 1.60.
Comparison methods of short term electrical load forecasting
Authors: Hartono  , Marifa Ahmad Arif , Sadikin M.
Published: October 2018

The supply of electricity that exceeds the load requirement results in the occurrence of electrical power losses. To provide the appropriate power supply to these needs, there must be a plan for the provision of electricity by making prediction or estimation of electrical load. Therefore the issue of electrical load forecasting becomes very important in the provision of efficient power. In this study, the author tries to build a model of short-term electrical load prediction using artificial neural network (ANN) with learning algorithm levenberg-marquardt (Trainlm), Bayesian regularization (Trainbr) and scaled conjugate gradient (Trainscg). Scope of research data retrieval is limited electrical load on the work area of Serang City. The results of this study show that the JST prediction of levenberg-marquardt (Trainlm) algorithm is better than the calculated prediction using Bayesian regularization (Trainbr) and scaled conjugate gradient (Trainscg) algorithms. The electric load prediction shows that the average error (Trainlm) is 3.37. Thus, it can be concluded that the electrical load prediction using the levenberg-marquardt (Trainlm) JST algorithm is more accurate than that of the Bayesian regularization (Trainbr) JST algorithm and the scaled conjugate gradient (Trainscg)
Stability issues in presence variable distributed generation into radial distribution network
Authors: Yuli Asmi Rahman , Siswanto Agus , Mahmudi Irwan
Published: October 2018

Related to environmental issues resulting from the use of traditional energy sources, drive usage of renewable energy is increasing. Changes in the structure of the network will certainly affect the changes in voltage stability. In this paper, discuss the impact of the stability after distributed generation penetration whose its output intermittent relatively. The simulation based PSAT software and tested into IEEE 30 bus system. Observation of voltage deviation and SVSI-index on some load buses in conditions before and after integration of wind generation. Load condition is a very determining factor of bus voltage stability index. This relates to the active power and reactive power needs that must be injected by DG penetration.
Implementation of talis and dc house system for rural areas in indonesia
Authors: Dwi Riana Aryani , Hunsnayain Faiz , Andres Pramana Edward , Song Hwachang , Yoyok Dwi Setyo Pambudi , Zulfia Anne , Hudaya Chairul
Published: October 2018

In 2017, the aggregate electrification ratio in Indonesia has been achieving 92.8%. However, some rural areas such as in Maluku and Papua Islands still have low electrification ratio (~70%). One of the main problems in supplying electricity to rural areas in Indonesia is the geographical concern which consisted of islands leading to the difficulty of electricity grid development. In some areas, diesel power plant has been being built to supply the electricity. However, it causes another problem to transport the primary energy source to the targeted area which would increase the cost of electricity supply. Besides, it also needs investment cost to build transmission and distribution systems, as well as the maintenance expenses. To resolve this issue, a new scheme of battery-based Tabung Listrik or TaLis (DC-based power bank) and DC house system is proposed to be the solution to provide electricity to rural areas. The potential of local renewable energy sources such as biomass, hydro, wind, and solar could be utilized to be charging sources of batteries (TaLis). This study presents the TaLis prototype, DC house installation, supply chain process and charging scheme of TaLis, and cost comparison between the proposed system with other existing power systems such as communal PV farm and diesel power plant. We found that TaLis and DC house system provided the least cost of electricity production compared to other power systems, i.e. $0.88/kWh for TaLis and DC house system, $1.65/kWh for diesel power plant, and $1.47/kWh for communal PV farm. Implementation of this approach is expected to improve the welfare and quality of life of rural communities immediately.
Leak Current Monitoring System On The Ground Cables Medium Voltage Transformer 150/20 kV
Authors: Sofwan A. , Multi A. , Soleman R. , Sugianto  , Septian A.Kusuma
Published: October 2018

On January, 2017 there had been fault trip at PMT 150/20 kV transformer in Jatirangon substation. For fault detection, that rele differential phase T and REF 20 kV have worked to detect this fault. The resulted impact of this fault is Power outage in feeder a 1350 A, 35 MW and 5 Mvar. The cause of this fault is the occurrence of breakdown on ground cables 20kV T-phase-core 1. This results in a short circuit to the ground so that the differential protection relay and REF 20kV work because the relay detects a fault in the ptotection zone. The result of this research is the design of an early detection monitoring tool. This tool is used to determine the amount of leakage current on the ground cable in order to minimize the occurrence of interference that causes the occurrence of electrical power outage. The result of the leakage current monitor on the ground phase cable T obtained a current of 0.6A with temperature 35 °C. With thermal failure calculation method for leakage current obtained result of 0,56180A with temperature 35 °C. Comparison of the calculation with the measurement of leakage current on the ground cable T phase is obtained at 6.36%.
The Power Usage Allocating System to Optimize Based on the Priority Load
Authors: Hartina N. Aidah , Sekina Y. Trieksa , Ramdhani Mohamad , Sugiana Ahmad
Published: October 2018

Monitoring energy consumption in a household is an essential thing for optimization of electrical power usage. Unnecessary or excessive power usage can lead to power outages and damage the electronic devices, so the end-user needs a control device to overcome it. In this paper, we propose an easy-access device that can provide real-time information about energy consumption and optimization of power consumption. The method for current measuring is used ZMCT103c whose works on some transformer and for voltage measuring is used ZMPT101b whose works on step down transformer. This system is focused on loads management priority in study case boarding house with total active power 900 watts which are created to scaled loads allocation based on electronic devices susceptible to damage that caused by power outages with assumption 2 (two) rooms and 3 (three) loads each room. The system has priority mechanism for load usage that could not be shut down such as PC (personal computer) and refrigerator. The device works by distributing maximum 55% of active power from excess power room to needed power room so that can avoid power outages and increase the efficiency of power usage.
Implementation of Naive Bayes for Classification and Potentially MSMEs Analysis
Authors: Meta Amalya Dewi , Widyaningsih Tri Wahyu
Published: October 2018

Micro Small and Medium Enterprises (MSMEs) have an important role for a country in significantly increasing its economic growth, its high absorptive capacity to labor can reduce unemployment, and has become the biggest contributor of gross domestic product value. Therefore, the government should give more attention to MSMEs. However, the government does not have any information on the results of clustering analysis and prediction of potential business types from existing MSMEs data. This study aims to assist the government by presenting the results of potential MSMEs processing analysis in Tangerang region based on business characteristics in each region, using Naive Bayes. From the data of the number of MSMEs in Tangerang region, it has been successfully classified and the result of its analysis has become recommendation for the government in establishing the grow up as well as the provision of business assistance for the potential business field.
Phytoplankton Concentration Measurements Base On Arduino Microcontroller
Authors: Haryanto Gunady , Pratomo Vector Anggit , Saputra Agung
Published: October 2018

In this research is designing and manufacture Phytoplankton concentration measurements in liquid medium based on arduino microcontroller. The design works with by exploiting fluorescence phenomenon, by using Purple Light Emitting Diode (λ = 405 nm, P = 10 mW, frequency modulation 625 Hz) as a light source absorbed by phytoplankton, mesuring vessel, optical filters, and photodiodes. Data obtained of the photodiode sensor is then conducted data acquisition by arduino, the quantitiy of phytoplankton concentration will be displayed on the lcd. From testing to Phytopathton for the concentration range it was found that for the concentration range 102 - 106 cells / ml obtained a consistent relationship the intensity of fluorescence with the increase in cell concentration. Gradients obtained for high range concentration with R2 = 0.9632 lower than the low range concentration with R2 = 0.9642.
Development of the Groundwater Level Changes Detector for Earthquake Prediction at Yogyakarta Region – Indonesia
Authors: Laksamana Firdaus Herlambang , Sunarno  , Motivanisman Waruwu Memory , Wijaya Rony
Published: October 2018

Groundwater level (GWL) change is one of the earthquake precursors that used for earthquake prediction. The groundwater level change system detector for earthquake prediction at Yogyakarta region - Indonesia contains the GWL detector, signal conditioner, controller, data storage and electrical power supply. The GWL changes detectors which are developed in this report are expected to be used for the earthquake precursors prediction in Yogyakarta region - Indonesia. The detector system shows the detection of groundwater level changes with a sensitivity of 0.01 centimeters. The data from the detector is stored on the storage media, then the data which are collected in weekly will be confirmed with the earthquake data from the BMKG (Indonesian Meteorology, Climatology, and Geophysics Agency). On June 11, 12, 15, and 21 the GWL have a change of 4 centimeters to 19 centimeters respectively, the earthquake occurs within the next 2 days. It shows that the system could be used as an earthquake precursors monitoring system based on GWL changes. This report in order to give the valuable information of the development system that can be used for earthquake prediction, even though it needs further study and development of the instrumentation system from other earthquake precursors anomaly.
Steady State Modification Method Based On Backpropagation Neural Network For Non-Intrusive Load Monitoring (NILM)
Authors: Tri Atmaja Sigit , Halim Abdul
Published: October 2018

Household electric power sector is highlighted as one of significant contributors to national energy consumption. To reduce electric energy usage in this sector, a technique called Non-Intrusive Load Monitoring (NILM) has been developed recently. NILM is a load disaggregating and monitoring tool that can be used to identify the daily usage behavior of individual electric appliance. Different to conventional method, NILM promises the reduction of sensor deployment significantly. NILM commonly uses either transient or steady state signal. Based on load/appliance signal condition, many NILM’s research results have been published. In this paper, steady state modification method of backpropagation neural network (NN) is applied for developing NILM. We use steady state signal to disaggregate the sum of load power signal. In the proposed method, NN is explored for feature extraction of electric power consumption of individual appliance. The presented method is powerful for load power signal which has almost same value. To verify the effectiveness of proposed method, data provided by tracebase.org has been used. The presented method can be applied for local data. It is obvious from simulation results that the proposed method could improve the recognition rate of appliances until 100 %.
Design of Android Application for Telemedicine System to Improve Public Health Services
Authors: Sumiati  , Triono Sigit Haris
Published: October 2018

One of the services provided by health facilities in Indonesia is the heart condition’s examination using Electrocardiogram machine. This service is important to provide because heart disease is one of the 10 most common causes of death in Indonesia. The electrocardiogram machine produces a print out that contains a graph of patient’s heart condition status. A cardiologist reads an ECG Scan to diagnose whether the patient’s heart condition is normal or abnormal. Health facilities that has a cardiologist is a secondary health facility located in the city but in the primary health facility in the village, although the examination by electrocardiogram machine can be done, the patient still have to wait for the diagnosis result because the print out result is sent first to the secondary health facility which has a cardiologist. Therefore it is necessary to design an Android Application for supporting telemedicine system as an effort to accelerate diagnostic service so that patient in primary health facility can also get immediate medical treatment.
Location-dependent User Selection Based on Sum Rate Approximation in Large System Regime for Massive MIMO
Authors: Noviana Sulistyawan Vera , Pudji Astuti Rina , Fahmi Arfianto
Published: October 2018

Massive MIMO with multiple BS antennas can give simultaneous service for multiple user equipments (UEs) that are widely considered in massive connectivity to meet high data rate requirements. User selection is critical to optimize the overall performance of MIMO systems in various scenarios and has been extensively studied in cellular networks to guarantee service for users. In the previous study, location-dependent user selection (LUS) had extremely low computational complexity which is capable to enhance sum rate performance, but there are many environmental condition assumptions that make this algorithm does not reflect real conditions. In this research, we proposed modified LUS with approximations of sum rate in large system regimes by adding the sum ergodic of the distance from one user to another which enhance sum rate performance. In addition, we vary the user environment that was ignored in previous research by varying the path loss exponent values. In this research, we focus modify on sub-urban areas with each UEs having different environmental conditions. The selection scheme is equipped with spatial correlation fading on the transmitter side MIMO antenna. The simulation shows an increase in sum rate between 0.0012 to 0.3935 in perfect CSI. For the imperfect CSI with antenna correlation coefficient for power at 30 dBm is 0.5 when 32x64 antennas is 14 optimal active UEs with sum rate is 23.4207 bps/Hz. For cases where the user is located in different positions with different environmental circumstances, with 32x64 antennas showing the highest sum rate is 24.8436 bps/Hz with 17 optimal UEs.
Analysis of secondary market policies of radio frequency spectrum in indonesia
Authors: Wibisono Gunawan , Widaryanto Isnur , Nugroho Cahyo
Published: October 2018

The radio frequency spectrum is an important factor in improving service quality and expanding the network of cellular operators. Operators attempt to obtain additional spectrum allocations through the practice of merging or taking over the radio spectrum, where the process is dependent on ministerial approval. In Indonesia, its implementation produces different treatment in terms of the use of radio frequency spectrum, some are accompanied by divestment another are not. This process is not through the mechanism of the secondary market spectrum. Based on the practice of secondary market spectrum in other countries, it provides business certainty to operators and gives maximum value in the spectrum. In this research, secondary market policy for Indonesia is proposed, where evaluation and analysis will be done using regulation impact analysis (RIA). Three proposed secondary market alternatives include to keep current conditions (alternative 1), secondary market mechanism with direct trading (alternative 2), and broker mechanism with independent supervision (alternative 3). Assessment will be done using cost base analysis (CBA) based on plus minus implications (PMI), and decision will be made based on multi criteria analysis (MCA). According RIA based analysis, the results obtained that alternative 3 provides many advantages compared to 2 other alternatives. The impact of benefits of alternative 3 includes increasing spectrum requirements, frequency spectrum structuring, the need for legal certainty and equality of the process of transferring frequency spectrum.
The Performance Analysis of Wireless Distribution System Using Point to Multipoint Network Topology
Authors: Munadi Rizal , Fardian  , Falmiza Zeri , Ernita Dewi Meutia , Roslidar
Published: October 2018

Current information technology development continues to evolve along with the needs in obtaining data or information either audio, images or a combination of both which is growing rapidly. Therefore information technology must be able to provide services that could fulfill user expectations in terms of both quality and quantity. One of the prominent changes in information exchange field is the use of wireless technologies, including its network configurations. Besides having to function optimally, the performance of the wireless technology is also needed to be maintained. This research is about the technology performance of Wireless Distribution System (WDS) with point to multi-point network configuration using 802.11g access point. The research was conducted in two phases. The first phase was building a WDS network model using four access points that are connected to each other. The second one was examining WDS network performance on server side. Based on the results obtained seen throughput on each segment WDS tested in gradual decline and the sharpest occurred in the last segment. On the other side the value of jitter increased from WDS-1 to WDS-2 and WDS-3 in a normal number, as well as the value of packet loss which increased in a very good category. The results obtained indicate good quality and generally very appropriate WDS technology to expand wireless access.
The Dimension of Food Souvenir: An Exploratory-Confirmatory Factor Analysis
Authors: Sosianika Adila , Suhaeni Tintin , wibisono Nono , Suhartanto Dwi
Published: October 2018

Food souvenirs as the tangible reminder that encounters the travelling experience are considered as an essential element in the tourism industry. However, the studies exploring the dimension of food souvenirs, are limited, and most of them applying single factor analysis, either exploratory or confirmatory. In response to the identified gap, this research scrutinizes the aspects of food souvenirs by utilizing a mixed method of exploratory-confirmatory factor analysis. The data was collected from 252 domestic tourists in Bandung, Indonesia. The exploratory factor analysis test identifies four dimensions of food souvenirs: tangible, brand and packaging, value, food quality. Although confirming the food souvenir dimension, the confirmatory factor analysis notes that the elements of the dimensions are different from that identified in exploratory factor analysis. Besides offering a theoretical understanding on the food souvenirs dimension, this study extends our understanding of a methodological issue that the exploratory-confirmatory factor analysis offers a better explanation on the food souvenir dimension compared to that of single factor analysis.
Prototype Design Of Chicken Meat Cutting Tool
Authors: Laurence  , Hartono Natalia , Clara Alverina Setiawan
Published: October 2018

The main thing the chicken skewers owners do is cut the meat into blocks. However, to produce a cubical meat shape is not an easy task and takes a long time. Therefore, it is necessary to design a tool to help the chicken skewers business owner to cut the chicken breast faster. The purpose of this research was to design an ergonomically chicken meat cutting tool to produce cubical chicken meat in large quantities so that the work can be completed in a shorter time. The planning and product development stage of this research was based on Ulrich and Eppinger steps from phases 0 through 4. After that, a prototype evaluation was performed. The conclusion of this research was that the tool successfully worked as the design intended. The maximum cutting yield is 225 pieces, 15 times faster, suitable for half-frozen chicken meat, and the evaluation results show a good performance rating. Overall, most of the respondents (87.5%) were pleased with this tools, shown by 57.5% choose a smiling face and 30% show a big smiling face as their feeling of satisfaction after trying the gamma prototype.
Quality Improvement for A Shoe Laundry Using Integration Model of Service Blueprint, Failure Mode and Effect Analysis, and Fault Tree Analysis
Authors: Hartono Natalia , Panjaitan Andry M , Noel Abram
Published: October 2018

Nowadays, shoes are not just a casual footwear. Certain shoes can tell the social class of a person. The increase of shoe prices and social status of wearing expensive shoes became a trigger for the development of shoe laundry services. There were a service quality problems in a shoe laundry in Tangerang, Indonesia. Several methods to improve service quality was studied and it is decided to propose a new model, which is integration model of Service Blueprint, Failure Mode and Effect Analysis (FMEA) and Fault Tree Analysis (FTA). The research starts with identifying the problem with observation and interview, then build Service Blueprint. Based on the fail point that has been identified in Service Blueprint, the FMEA used to find which process is the most dominant cause of failure and the most urgent for improvement. The next step is using FTA to find the root cause of the failure of the dominant cause. After analyzing the FTA, the improvement was proposed and implemented. Service failure before and after implementation was compared to see the improvements. There are 6 suggestion and implemented. After the implementation, the error in each process was measured and it is found a decrease in error in each process.
The effects of drying time during manufacturing process on partial discharge of 83.3 mva 275/160 kv power transformer
Authors: Siswanto  , Indarto Agus , Rahmatullah Radin , Hudaya Chairul
Published: October 2018

Power transformer (PT), essential equipment in electrical power system proceeds complicated manufacturing process to meet high standard design. During manufacturing process of PT, the drying stage is of importance to remove excessive moisture contaminant on the solid insulation. This study investigated the effects of drying duration on partial discharge test of 83.3 MVA 275/160 kV PT. The partial discharge test measurements were carried out using IEC 60270 standards comprising of the capacitive network model based on the main quantity apparent charge concept. We found that the lowest partial discharge of 21 pC was achieved at 68 hours drying duration, while the highest value of 60 pC was reached at 81 hours drying time. The longer drying time may lead to initial degradation of cellulose insulation due to excessive heating. The amount of water extracted during drying effect to partial discharge also investigated. We conclude that the drying time at a higher and lower than 68 hours significantly contributes to the increased partial discharge values of PT.
Repair of The Bracket and Clutch Mechanism On Centrifugal Pump For Firefighter Motorcycle
Authors: Triyono  , Himawan Hadi Sutrisno
Published: October 2018

An addition of centrifugal pump on the engine of automatic motorcycles is expected to become one of the solutions for fire incidents in densely populated areas in big cities. Many cases of fire-related incidents have not been handled properly due to limitations of access for fire engines such as narrow alleys. The effectiveness of the centrifugal pump for firefighter motorcycles is determined by the optimum function of the pump performance according to the desired specification. The repair of the brackets and the clutch mechanism for the pump in the engine of automatic motorcycles may assist to the full effectiveness of the pump. The repair is based on the stability of the number of cycle on the centrifugal pump during the cycle of the motorcycle engine without any load. There is no disruption to the motorcycle cruise control or an increase of load due to the addition of centrifugal pump in the motorcycle’s engine. By using the magnetic clutch which uses the electrical energy in the connection and disconnection of the joint, this model will be useful since it does not disrupt the motorcycle cruise performance and does not add an extra load to the motorcycle torso.
Quality Control of the Steel Wire Rod Product by Integration Lean Six Sigma and Taguchi Method
Authors: Ridwan Asep , Ekawati Ratna , Novitasari Ayu
Published: October 2018

RMW Inc. is the global company in Indonesia. One of its product is the steel wire rod. This research aims to control the production process and improve the product quality. This research is using the integration between lean six sigma and taguchi method. The first step is to reduce the waste using lean six sigma method while the second step is to reduce the defect using taguchi method. Based on the identification of seven waste, the most dominant waste is the defect that is caused by there is no setting of the roll entry guide. The product has 11 CTQ (critical to quality) with the focus on laps defect, underfill defect, and overfill defect. Then, the cause of failure is identified using FMEA (failure mode effect analysis). The level of sigma capability is achieved at 4.54 with DPMO (defect per million opportunities) is 4006.55. The first improvement can reduce the time until 8.9 minutes. The second improvement sets the roll entry guide. The optimum factors for setting of the roll entry guide is A factor with 150 tonnages of wear level, C factor by 5 bar of cooling and D factor by 6 ml of lubrication.
Incremental Innovation towards Business Performance: Data Management Challenges in Healthcare Industry in Indonesia
Authors: Lubis Muharman , Arif Ridho Lubis , Lubis Bastian , Lubis Asmin
Published: October 2018

The Industry 4.0 indicate the increases in competitive pressures, the margins reduction, the availability of new technology and the marketing development techniques suggest making more complex decisions to make and sustain the success. Data management is essential for organizations because the administrative process, which data is acquired, validated, stored, protected and processed through its accessibility, reliability and timeliness ensures that the needs of data are met. It is also a process of developing data architectures, practices and procedures that address the data and then implement these aspects on a regular basis. All these process will ease and smoothen the business flow. Therefore, there are number of data management challenges to maintain sheer volume of data, taking reactive approach, lack of process and data handling, fragmented data ownership and driving a data culture. This study investigate the current issues in health industry to overcome through recognizing both the importance of quality data and having more sophisticated approach to manage data as the organization begin shifting to be more data centric model.
Design of a small and medium industry cluster in cilegon city with supply chain system approach
Authors: Lintang Trenggonowati Dyah , Ridwan Asep , DwiAnggraini Zunika
Published: October 2018

Future industrial development strategies, derived from current ideas, that is industrial development through a cluster approach. Cilegon city is a city with many petrochemical industries and other, it should be a potential that can give a positive impact for the welfare of Cilegon city community, the researchers want to design the cluster of the petrochemical derivative of IKM with supply chain system approach. The objective of the research is to design the development of a petrochemical derivative cluster of IKM in Cilegon, to determine the factors that influence the development of SMEs clusters, and to design improvement scenarios in the development of SMEs clusters with dynamic system simulations. Based on the results of SMEs cluster design, the stakeholders in the design are government, big companies, and business actors. Types of products to be produced are plastic packaging, plastic bottles, and plastic bags. The location of the right cluster of IKM development is located in Grogol sub-district. Raw materials used by petrochemical derivatives can be obtained from factories producing polyethylene in Grogol sub-district such as PT Lotte Chemical Titan. Factors that have the significant effect on SMEs cluster development are the factors of government support and local business power factor. The simulation result shows that the second alternative proposal is considered reliable enough to face the fluctuating market demand. From the simulation results obtained the average production of 228,513,6914 psc, the average production stock 821,742.4 and the average sales of 200,000 psc.
The Comparison of Genset Machine CS 1000 L Performance Between LPG and Methane Gas Usage as The Fuel
Authors: Ni Ketut Caturwati , Sudrajad Agung , Permana Mekro , Haryanto Heri , Khaerani Rizka
Published: October 2018

Increasing demand of the energy along with the depletion of the world oil reserves had forced us to utilize the alternative energies in our daily life. One of those is that we should develop its utilization on biogas which a source of renewable energy and be able to overcome the problems that caused by the abundance of organic waste around us. Methane is a major element which found in biogas, therefore a preliminary study of the biogas utilization as resource of energy in a power plant can be preceed by the use of methane as a fuel gas in genset. This study compares the performance of CS 1000 L generator set that use methane gas fuel and LPG gas fuel. The results shows that the efficiency of thermal generator using methane fuel reaches 26.22 %. This value is higher than thermal efficiency genset that using LPG gas which only reaches the value of 8,26 %.