bluuebunny/crossref_metadata_2025_split huggingface dataset:
Causal Loop Diagram of Microtakaful Framework Model with the Integration of Zakat and Waqf
Authors: Idham Mohamad Arwin , Zainal Abidin Norhaslinda , Zulkepli Jafri 
Published: July 2024

One of the mechanism to provide financial assistant and reduce poverty of the poor is microinsurance or microtakaful. As Islamic institutions, Zakat and Waqf can play an important role providing this microtakaful benefit to the poor as well as reducing the risk of uncertainty in contribution. Even though there are differences in concepts and structure in zakat and waqf, the integration of both institutions will help local zakat authorities and waqf institutions to provide microtakaful benefits as a financial protection to the poor. The aim of this paper is to develop a causal loop diagram (CLD) of the integration of zakat and waqf in providing microtakaful benefit. CLD is one of the important tool in system dynamics approach that helps in visualizing the major variables and the cause and effect relationship between zakat and waqf in a holistic microtakaful model. CLD can be used as a support to the framework in order to ensure the continuity and sustainability of the microtakaful model. This approach will help in visualizing the integration of changes between both zakat and waqf components and the impact of those changes through positive (+) and negative (-) symbol, and balancing and reinforcing of relationships that may result in insolvency of the microtakaful system. The proposed framework model can be used in the long term without having to penalize the parties involved, either the operator, or the participants in order to provide financial protection to the poor. The framework can be useful to the local Zakat authorities and Islamic council on the idea of mutual assistance funds planning to help in uplifting the life of poor and this is one of the urgent agenda for our country.Â Â
Improved Swarm Evolutionary-Programming Technique for Voltage Control in Power System
Authors: Izwan Hashim Hafizul , Musirin Ismail , Hidayah Salimin Rahmatul , Othman Zulkiffli , Suyono Hadi , M S Hannoon Naeem 
Published: July 2024

Voltage decay is an important issue in the power system community. This can lead to a current increase, leading to temperature rise along the transmission line. Temperature rise can possibly cause an insulation failure, which can affect system stability. To avoid this phenomenon, compensation process can be employed with the installation of compensation devices. The required optimal sizing and location of the devices can be achieved using optimization technique. Evolutionary Programming (EP) technique can be one of the choices. However, the traditional EP technique may suffer inaccuracy and non-optimally. This study aims to develop an integrated computational intelligence technique termed as Swarm Evolutionary Programming (SEP) for voltage control study in power system. SEP proposes the combination of traditional EP and particle swarm optimization (PSO) technique, to improve the inaccuracy experienced in the traditional EP algorithm. The proposed technique has been validated on a chosen power system model; while comparative studies were conducted with respect to other techniques so as reveal its merits. Validation on the IEEE 24-Bus Reliability Test System (RTS) exhibits the superiority of the proposed SEP over the traditional EP in terms of voltage profile and loss minimization.Â Â
Undrained Shear Strength of Peat Soil Improved with Pond Ash-Hydrated Lime Admixture
Authors: Md. Yusof Zeety , Ain Mohd Akhir Johari Nurul , Mohamed Kamaruzzaman , Bagus Mohamed Jais Ismacahyadi , . . 
Published: July 2024

The low shear strength and high moisture content can be highly related to peat soil.Â It can be categorized as a baffling soil because of its high humidity in the peat soil particle. The reasons for why settlements need to occur after heavy load has been applied to the peaty soil need to be discovered.Â Therefore, in this study, the objective of work is linked to the strength of the untreated and treated peat soil with in an effective way but with a low budget.Â The strength of the untreated natural peat and treated peat soil with pond ash-hydrated lime which are reacting as a binder in the peat soil treated particles was designed.Â The different strength of soaking time (0, 7, 14 and 21 days) of the samples is compared to know the different strength of different soaking time by using Unconsolidated Undrained (UU) test.Â The results show that the shear strength was increased when the pond ash-hydrated lime was added to the soil.Â Â
Permeability of the Treated Peat Soil Mixtures with Pond Ash â€“ Hydrated Lime
Authors: Md. Yusof Zeety , Mohamed Kamaruzzaman , Bagus Mohamed Jais3 Ismacahyadi 
Published: July 2024

Peat soil has been identified as a Geotechnical engineering problem in the construction works because of its difficulties to predict itâ€™s Geotechnical behaviour due to its volume instability.Â The aim of this paper was to analyse the permeability of the treated peat soilâ€™s mix with the various percentages of pond ash (PA) (5, 10, 15 & 20%) and constant hydrated limeâ€™s (HL) (12%) composition.Â The role of using PA and HL is to act as the reactant and accelerator in treating peat soil.Â The treated soil properties are great importance of the vital as the design contributes to the improvement of the peat soil.Â Therefore, this study investigated the significant evidence on the effect of untreated and treated peat soil from the laboratory works testing.Â The results of this study show that by increasing PA content from 5 to 20%, the admixtures were able to reduce the coefficient of vertical permeability of the treated peat soil in soaking time compared with the untreated peat soils.Â It is a significant evidence of the positive effects composition of the treated peat soil was discovered during the laboratory works.Â
The Genetic Divergence and Phylogenetic Relationship of Indonesia Swamp Buffalo (Bubalus Bubalis) based on Partial Sequences of Cytochrome B Gene of Mitochondrial DNA
Authors: Winaya Aris , Sukri Akhmad , Gofur Abdul , Amin Mohammad 
Published: July 2024

The aim of this study was to determine the genetic divergence and genetic relationships among Indonesia swamp buffalo (Bubalus bubalis) based on cyt b gene partial sequence of mitochondrial DNA. The buffalo samples taken from seven biogeographic regions where representing the part of Indonesia island which consisted of Aceh, Riau, Madiun, Blitar, Lombok, South Kalimantan, and Tana Toraja. The results showed that based on the genetic value of the genetic distance of Indonesian buffalo was ranged between 0.00-0.08. The individualâ€™s genetic distance that derived from the similar region tended to be lower than the genetic distance between individuals from different areas. The phylogenetic analysis showed that the groups of buffalo population have a genetic relationship where to correspond to their biogeographic origin. It indicated that any a close genetic relationship between the individual animal in the group that related to the bio-geographical area which compares to between group. The domestication of Indonesian buffalo presumably originated from China mainland and then spread to Indonesia island through Philippine and Malaysia. These results also supported the previous study that buffalo from Philippine was quite close the genetic relationship to Indonesiaâ€™s buffalo while Philippineâ€™s buffalo was the closest relationship to Chinaâ€™s buffalo. Although this finding was not yet described in detail about the distribution of taxa because only used one parameter of cyt b gene, but in general, this study has described the genetics flow of Indonesian local buffalo that suspected be one of the genetics sources of the local buffalo in Indonesia.Â Â
Parameter Estimate for Spatial Lag Regression Model with Outlier
Authors: Harini Sri , Sheppy Siscaviyana , Siti Nurmala Sari Marita , . Purhadi 
Published: July 2024

Spatial lag regression is the result of linear regression model development that considers the effect of spatial data to the dependent variable, the Spatial Autoregressive Model. In the model of spatial lag regression model, it is often found there is an outlier that affects the created model. One of the methods to detect the outlier from the spatial regression model is by using the S estimator model. The S estimator method is a method that is used to determine the outlier by minimizing the objective function and the function of the number of error square. The result of the study shows the interpreting parameterÂ 14Ø®Â²m+1=XTØ¯â€°imX-1XTØ¯â€°imI-Ø¯Ù¾W1y"> Â Â that bears biased characteristic.Â Â
Characterization of active compounds from Jatropha gossypifolia L. based on HPTLC
Authors: Rofida Siti , Nailis Nailis , . Nurkhasanah , Hayu Nurani Laela 
Published: July 2024

Jatropha gossypifolia L. is one of plants that come from Euphorbiaceae family.That is used to be a medicine, particularly as an anticancer. The previous research has reported that the root extract of J.gossypifolia L. (EEAJG) has an ability to kill the cervix cancer cells and breast cancer cells. The cytotoxicity of EEAJG on breast cancer cell lines (T47D) and cervix cancer cell lines (Hella) respectively contained by 43.57 mg/mL and 4.32 mg/mL. The consistency of active compouds on traditional medicine can assurance the biological activity of medicinal plants. Fingerprint profiles of active compouds is either one that can be used to indicate the composition of secondary metabolites in medicinal plants. In this study aims to obtain a fingerprint profiles of active compouds in EEAJG to ensure biological activity as an anticancer based on HPTLC.The root extract of J.gossypifolia L. obtained from extraction by maceration with ethanol. Fingerprint profiles of active compouds can be identified by using High Performance Thin Layer Chromatography (HPLC). Secondary metabolites of EEAJG separated by TLC techniques and scaned wavelength of 254 nm and 366 nm with CAMAG TLC scanner 3. The chromatogram were recorded. The results showed that the chemical compounds were detected at 254 nm produced ten peaks with maximum absorbance at 250-350 nm region. The chemical compounds that were detected at 366 nm produced six peaks with absorbance maximum at 200-350 nm region.Â Â
Qur'an Basic Game for Fun Learning Using Dynamic Weighting A Star
Authors: Faisal Muhammad , Zakifardan Ibnu , Eko W. R. Nonok 
Published: July 2024

The phenomenon of people who cannot read the Qur'an in Indonesia is quite significant. There are approximately 65 percent of Indonesian Muslims cannot read the Qur'anÂ andÂ 35 percent could read the Qur'an there are 21 percent who do not want to read the Quran (http://bimasislam.kemenag.go.id, 2015). Needed some strategies in learning to read the Qur'an. Along with technological developments in the media, then the media should be utilized as much as possible to support the learning of the Qur'an for Muslims in Indonesia. The combination of learning in synergy between classical learning method with learning methods based on Information Technology (IT) is expected to produce a model of learning to read the Qur'an so fun and not boring. In this study discusses the making of instructional media-based desktop and or android by combining computer technology with implementing Dynamic Weighting A Star Method on Non Player Character (NPC) so that its movement is better for NPC moves towards the target in accordance with the route that is generated by the algorithms.Â
Location Weight of GSTAR Model for High Variability of Rainfall Data
Authors: Dwi Sulistyono Agus , Hadi Nugroho Waego , Iriany Hadi Nugroho 
Published: July 2024

The use of location weights in the spatio temporal models took part in the accuracy of the model. The weights that often used are uniform weight, inverse distance weight, and normalized cross-correlation weight. These location weights consider the closeness between locations. For data that have high degree of variability, the use of these location weights becomes less relevant. Therefore, it is necessary to consider variability aspects of observational data as the location weights, that is the normalize ratio variance weight. The study was conducted to develop GSTAR-SUR model with normalize ratio variance weight and its application on rainfall data. The data used is ten daily rainfall data in the region Blimbing, Singosari, Karangploso, Dau, and Wagir. Based on the results of the study, indicated that the GSTAR-SUR ((1) (1,2,3,12,36) model that used ratio variance as location weight are more accurately to forecast the rainfall data that has high variability and extreme point.Â Â
Fibonacci Sequence â€“ based FFT and DCT Performance Comparison in Audio Watermarking
Authors: Budiman Donny , B. Suksmono Andriyan , Danudirdjo Donny 
Published: July 2024

Audio watermarking is a manner to hide watermark into the audio for copyright protection. Recently, there are many techniques based on audio watermarking. Frequency domain based audio watermarking is one of audio watermarking technique that has good watermark robustness against many attacks, good watermarked audio quality, and also high watermark payload. In this paper, FFT and DCT performance will be compared as transform technique for data hiding in audio. Host audio is first transformed into frequency domain in frame-based by FFT or DCT, then watermark is embedded into the frequency domain signal by Fibonacci sequence rule. Different than DCT which can embed watermark on full frame, in FFT, only a half of frame that can be embedded by watermark due to FFT properties. After embedding, the frequency domain signal is transformed to time domain by IFFT or IDCT to get watermarked audio. The simulation result of frequency based audio watermarking comparing FFT and DCT transform method shows that watermark payload for perfect robustness at no attack condition could reach up to 70 bps for FFT and 500 bps for DCT. With good watermarked audio quality due to ODG > -1 and SNR > 30 dB. Due to this performance, DCT is a recommended transform method for audio watermarking technique to obtain high imperceptibility, strong robustness and high capacity than FFT.Â Â
Solving University Course Timetabling Problem (UCTP) Using Depth First Search (DFS) Algorithm and Rule Base Systems
Authors: . Fatchurrochman , Abidin Zainal 
Published: July 2024

University course timetabling are administrative activities undertaken by the universities to manage their resources for education process. The resources are classrooms and lecturers. In this research, the university course timetabling or course scheduling is seen as the search process. Searches conducted on unused slots to be filled with lectures classroom. slot is a term used to denote an entity that can be filled with classroom lectures. Lectures classroom are objects to be scheduled. DFS is used to prepare candidates for the class schedule of a lecture classroom. Subsequently checked whether the candidate's course schedule does not violate the lecturers constraint, classroom constraints, dhuhur prayer time constraint, Friday prayer time constraint, and in accordance with the preferences day of lecturer. If the candidate does not violate all constraint it will be stored as class schedules and if violated the constraint it will look for another schedules candidate. The system testing showed that of the 131 lectures classroom can all be scheduled at 6 classroom without breaking the constraints that have been set. There are 20 lectures classroom that are not scheduled when only 5 classroom used, this indicates that the DFS is not complete and is not optimal, this algorithm requires sufficient classrooms in order to work properly. In terms of computing time, this study provides the big picture of time required to complete the preparation of lecture schedules using DFS.Â Â
Building MPLS Network Simulation Using GNS3 at PT. Telkom
Authors: Apsari Ratih , Rosmiati Mia , Zani Tafta 
Published: July 2024

The Backbone Network of PT Telkom Indonesia ( PT.Telkom) has architecture from core layer to access layer. In the core layer network PT Telkom has two stage, there are Main pop and Primary pop. This paper proposed MPLS ( Multiprotocol Label Switching) for core layer to optimize the network. The principle of MPLS ( Multiprotocol Label Switching ) NetworkÂ is labelling MPLS to 2nd header layer and 3rd layer for easier checking the network. By using Graphical Network Simulator (GNS3), PT Telkom can simulate its Network using MPLS and calculate the Quality of Service (QoS). From Wiresharkâ€™sÂ summary, the parameter ofÂ QoS when uploading and downloading data process can be captured. In this research, the packet loss has 0% and if it compared with ITU-T category for packet loss, the proposed network achieved good category.Â Therefore the proposed method can be be used as an alternative for Telkomâ€™s backbone network in the future.Â
The Expression of Drought Resistance GmDREB-1 Gene on Soybean (Glycine max L. Merr) as Result of EMS Mutation Induction (Etyl Methane Sulfonate)
Authors: Sandi Savitri Evika , Siti Resmisari Ruri 
Published: July 2024

Abiotic stresses, particularly drought, are harmful for the plant productivity. Mutagenesis is widely used as method that is potential to increase the variability of crop development. Mutagenic using EMS (Ethyl Methane Sulfonate) shows more effective results than using other mutagens. DREB1 gene is a subclass of DREB gene which is a transcription factor and it also serves as a key regulatory response of plants to drought stress. Mutation induction combines concentration treatment and immersion time in EMS.Â RNA isolation employs RNeasy Plant Mini Kit (Qiagen). GmDREB-1 expression is analyzed using Real Time PCR (Quantitative Real-time Polymerase Chain Reaction or Q-PCR). The analysis shows that mutation treatment with EMS using 0.07% concentration with a wide range of immersion time indicates that GmDREB-1 expression is higher than other treatments.Â The results of this study proved that mutation induction using EMS can be used as an alternative to plant breeding to obtain drought resistant soybean.Â Induction mutation useful for improvement genetic variability of plant.Â Â
Long Short-Term Memory Recurrent Neural Network based Mobility Prediction in MANET
Authors: Manimaran J. , T.Suresh Dr. 
Published: July 2024

A Mobile Ad hoc NETwork (MANET) is formed by a gathering of wireless nodes without any infrastructure and the wireless nodes are not static but dynamic in nature. The mobile nodes can be connected together dynamically to route data packets from other mobile node present in the network. The mobility of the nodes is a significant feature in the MANET. The nodes follow one of the different mobility patterns which affect the connectivity among the other nodes. The dynamic changes in the connectivity decides the performance of the routing protocol and hence the performance of the overall network. When considering these characteristics of the MANET it becomes essential to predict the mobility of the nodes in both service-oriented and as well as application-oriented aspects of the dynamicÂ Â Â Â Â Â Â Â networking. At the network level the mobility prediction is useful in pre-configuring services, provisioning of QoS and reservation of net-work resources and whereas in application level the end user can be provisioned with route guidance, information on network traffic and broadcasting important information to users. The mobility prediction will lead to the estimation of the stability of the routing paths and the distances between the neighboring nodes. This helps to improve the overall performance of the network by reducing the frequent link failures and increasing packet delivery ratio. In this paper, a novel mobility prediction method is developed using the historical time and positioning data. Auto Regressive Integrated Moving Average (ARIMA) and Long Short Term Memory (LSTM) with Recurrent Neural Network (RNN) are utilized for mobility prediction based on the sequence of time series data.Â Â
A related-event approach to event integration in Japanese complex predicates: iconicity, frequency, or efficiency?
Authors: Chen Yiting 
Published: July 2024

Abstract
Event integration – the conflation of multiple events into a unitary event – plays a vital role in language and cognition. However, the conditions under which event integration occurs in linguistic representation and the differences in how linguistic forms encode complex events remain unclear. This corpus study examines two types of Japanese complex predicates – compound verbs [V1-V2]V and complex predicates consisting of a deverbal compound noun and the light verb suru ‘do’ [[V1-V2]N
suru]V – using an original “related-event approach”. Findings indicate that [[V1-V2]N
suru]V can be established based on coextensiveness alone, whereas [V1-V2]V typically requires direct or shared causality (“the inevitable co-occurrence constraint”). The related-event approach examines related events of linguistic concepts, such as causes and purposes of an event, identified through “complex sentences” from ultra-large-scale web corpora. This study demonstrates that such an approach is effective in clarifying causal relationships between verbs. Furthermore, this paper contributes to the “iconicity versus frequency” debate by showing that conceptually more accessible events (causality plus coextensiveness) tend to be represented in a simpler form than less accessible events (coextensiveness only), due to “efficiency”. The frequency of usage is a result of the nature of concepts rather than the driving force of coding asymmetries.
Comments on “sensitivity of estimands in clinical trials with imperfect compliance” by Chen and Heitjan
Authors: Baker Stuart G. , Lindeman Karen S. 
Published: July 2024

Abstract
Chen and Heitjan (Sensitivity of estimands in clinical trials with imperfect compliance. Int J Biostat. 2023) used linear extrapolation to estimate the population average causal effect (PACE) from the complier average causal effect (CACE) in multiple randomized trials with all-or-none compliance. For extrapolating from CACE to PACE in this setting and in the paired availability design involving different availabilities of treatment among before-and-after studies, we recommend the sensitivity analysis in Baker and Lindeman (J Causal Inference, 2013) because it is not restricted to a linear model, as it involves various random effect and trend models.
Improving islanded distribution system stability with adaptive decision-making framework
Authors: Sanaullah Kaka , Xia Mingchao , Hussain Arif , Zulfiqar Kashif 
Published: July 2024

Abstract
In an integrated distribution system incorporating distributed generation (DG), various technical challenges must be addressed when the grid becomes disconnected and transforms into an islanded system. The main focus in such circumstances revolves around ensuring the stability of the islanded network. This study presents an advanced decision-making framework for supporting islanded networks by integrating metaheuristic Black Widow Optimization (BWO) and the rate of change of the voltage stability index (RoCVSI). The Rate of Change of the Voltage Stability Index (RoCVSI) detects instability in islanded networks by continuously monitoring rapid changes in the voltage stability margin. Upon identifying potential instability, an advanced decision-making strategy utilizing the Black Widow Optimization (BWO) algorithm is deployed. BWO generates multiple load-shedding scenarios and evaluates their impact on system stability, iteratively refining the solutions through processes similar to selection and cannibalism in black widow spiders. The optimal load-shedding strategy is then implemented to selectively shed specific loads, thereby reducing demand and enhancing island stability. The proposed scheme’s effectiveness for islanded network stability is assessed by extensively analyzing the IEEE 33-bus system. The efficiency of the proposed approach is confirmed through a comparative analysis, with results indicating the better efficiency of the proposed method in the islanded network.