Lamintang Online Journal (Lamintang Publisher)
Not a member yet
331 research outputs found
Sort by
From Progressive Radicalism to Democratic Degeneration: The Trajectory of John Locke's Political Theory
As an organic intellectual of the emerging propertied class in 17th century England, John Locke has made an enduring contribution to the prevailing ideas shaping the socio-political order in Western societies and beyond. Through invoking the law of nature and natural rights which were nothing more than what he had abstracted from the socio-economic conditions of the seventeenth century and had projected back into the state of nature, Locke assiduously embarked on justifying the separation of civil society from the state, naturalizing class inequalities identifying the preservation of property as the fundamental function of the state, and rationalizing the subordination of propertyless classes to the emerging liberal democratic political order geared to preserve the interests of economically hegemonic classes
Options for Post-Election Conflict Resolution in Africa
Elections in most emerging democracies are generally characterised by irregularities which in turn fuel violent and non-violent expressions of displeasure before, during and after the voting excise. This paper discusses options for post-election conflict resolution with focus on African experiences since 2000. The paper holds that political and nonpolitical, local and international actors, play a dire role in ensuring that election-related insecurities are at least pacified. The paper assessed the constitutional, political and diplomatic alternatives to post- election conflict resolution. The paper goes further to examine the challenges that faced by African states in their exertion to deal with post-election conflicts. The study provides recommendations to inform the successes of the he post-election conflict resolutions in Africa. This paper establishes that most African states have lucrative legal frameworks on conducting elections and dealing with post-election unfortunate eventualities, the most compromise comes from, however, lack of political will and respect for the municipal ad international regulations. Furthermore, the paper realises that the continent, in some cases, lacks capacity and effectiveness on policy implementation to enforce electoral outcome or court rulings
Comparative Study of the Influence of Full and Partial Halo Geomagnetic Storms on High Latitude Ionosphere
We have studied and compared the effects of full and partial halo geomagnetic storms on the high latitude ionosphere. The study used the total electron content (TEC) data obtained from the global positioning system (GPS) to examine the level of response of high latitude ionosphere around Ny Alesund, Norway to full and partial halo geomagnetic storms of June 23rd 2015 and January 1st 2016 respectively. This study was carried out using a dual frequency ground based GNSS observations at high latitude (NYAL: 78.56oN, 11.52oE) ionospheric station in Norway. The vertical TEC (VTEC) was extracted from Receiver Independent Exchange (RINEX) formatted GPS-TEC data using the GOPI Software developed by Seemala Gopi. The GOPI software is a GNSS-TEC analysis program which uses ephemeris data and differential code biases (DCBs) in estimating slant TEC (STEC) prior to its conversion to VTEC. From the results, the responses of the high latitude before the storm days were more positive than on the storm days. Also the overall response of the high latitude to the full halo geomagnetic storm was more positive with more impact than that of the partial halo geomagnetic storm
Early Detection of Alzheimer’s Disease using Convolutional Neural Network Architecture
Alzheimer's disease is an extremely popular cause of dementia which leads to memory loss, problem-solving and other thinking abilities that are severe enough to interfere with daily life. Detection of Alzheimer’s at a prior stage is crucial as it can prevent significant damage to the patient’s brain. In this paper, a method to detect Alzheimer’s Disease from Brain MRI images is proposed. The proposed approach extracts shape features and texture of the Hippocampus region from the MRI scans and a Neural Network is used as a Multi-Class Classifier for detection of AD. The proposed approach is implemented and it gives better accuracy as compared to conventional approaches. In this paper, Convolutional Neural Network is the Neural Network approach used for the detection of AD at a prodromal stage
Snakes and Ladders Board Game Table Design to Develop Cognitive, Social and Tactual Perception Skills in Blind Children
This study aims to overcome what is experienced by blind children and to invite blind children to take part in playing and not forgetting to put forward special design aesthetics for blind children. The results found result from primary data collection from observations of the daily activities of the subject and interviews with the subject, teacher, and subject's parents and secondary data got from literacy results from related research sources. The research subjects were taken from students of SDLB-A YPAB SURABAYA. The research method used is design thinking by approaching the subject. In the ultimate result, an innovative traditional snake and ladder game was found which was changed in such a way as to be accessible so that it was more friendly for blind children to use
Mutual Dynamics of Certain Types of Bitcoin: Data from Wavelet Coherence
Unconventional methods of analysis are a good tool for studying new trends and phenomena. One of these objects of research is the cryptocurrency market. The paper shows the possibility and feasibility of applying the ideology of wavelets to analyze the dynamics of prices for cryptocurrencies. For this, the methodology of wavelet coherence is used. This methodology has been applied to various cryptocurrency pairs. The calculation results for real data are presented. It is shown that the results obtained agree with the theoretical conclusions and research results of other authors
Implementation of PT. Asia Forestama Raya's CSR for Community Economic Empowerment during the Covid-19 Pandemic
PT Asia Forestama Raya is a forest product processing factory for the wood industry's raw materials. Based on Article 74 Paragraph (1) of Law Number 40 of 2007 concerning Limited Liability Companies, it is stipulated that companies that carry out their business activities in the natural resources sector and / or fields related to natural resources are required to implement CSR. In Article 10 of Riau Provincial Regulation Number 6 of 2012 concerning Corporate Social Responsibility in Riau Province, it is stated that CSR programs can take the form of community economic empowerment. This research aims to explain the implementation of PT Asia Forestama Raya's CSR on community economic empowerment during the Covid-19 pandemic. The method used in this research is socio-legal research. During the Covid-19 pandemic, the public really expected a real contribution from PT Asia Forestama Raya. PT Asia Forestama Raya's obstacle in implementing community economic empowerment in Limbungan Village is that the financial condition of PT Asia Forestama Raya is currently in an unstable state. Efforts that can be made by the people of Limbungan Village if PT Asia Forestama Raya doesn’t carry out a CSR program are to convey their aspirations to Commission IV of DPRD Pekanbaru City. Based on Article 32 of Riau Provincial Regulation Number 6 of 2012 concerning Corporate Social Responsibility in Riau Province, it is stated that if PT Asia Forestama Raya doesn’t carry out CSR towards empowering the community's economy, the company can be subject to administrative sanctions by the Pekanbaru City Government
WeRoute: Route Optimization Web-Based System and Driver Mobile Application
This paper intends to conceptualise an optimisation solution for vehicle routing that can get the best routing result and release the most optimal route to the driver, namely WeRoute. The objectives of the paper are to manage the data efficiently, save time, reduce cost, enhance customer satisfaction, and decrease the emission of carbon. Moreover, this is also known as the vehicle routing problem, which deals with a range of variables, including drivers, stops, roads, and customers. The method, Genetic algorithm, was developed to improve the efficiency of generating feasible routes for a project. A team of drivers and several stops are needed to generate the solution of optimising the vehicle routing. It can be said that the more drivers or stops, the more complicated the problem becomes, such as cost controls and vehicle limitations. Thus, a route optimisation tool slowly becomes the key to ensuring the delivery business as efficiently as possible
The Damage Control of Liquid Waste Pumping Machines in Palm Oil Companies
X is a company that works in the field of oil palm plantations and has a palm oil production capacity of 60 tons per hour. The products of palm oil that have been produced are Crude Palm Oil (CPO) and Palm Kernel Oil (PKO). The various kinds of waste produced by the company as a result of the palm oil industry process are liquid waste, palm kernels, fiber and seed shells. Liquid waste is used as organic fertilizer for oil palm plantations which will be sent through a liquid waste pump machine. Damage that occurs to the liquid waste pump machine will inhibit the delivery of liquid waste to the plantation, thus affecting the yield of palm oil from the plantation itself. This study describes the application of repair and preventive maintenance policies for liquid waste pump machines by looking at the frequency of damage to the liquid waste pump engine and predicting the delivery of liquid waste to the pump engine for the next period as well as providing solutions for handling damage that occurs in the liquid waste pump engine. From the results of calculations on data processing, the results of how to control the causes of damage that occur in the liquid waste pump machine can be overcome by using the Preventive Maintenance Method within a period of 1 month and maintenance of every component in the liquid waste pump machine within 1 cycle, namely 357.27 hours with a repair time of 5.82 hours. Controlling other causes of damage is to add a filter to the liquid waste pool so that stones, leaves and liquid waste husks do not hinder the suction pipe of the liquid waste pump machine
Information Technology Governance of UMKM in Kasasiur Banjar
One form of information technology management for UMKM in order to expand business networks, marketing and carrying out business processes is the use of the Cobit 5 framework. The benefits and maturity level of IT management are benchmarks for the direction of development and utilization strategies for UMKM. The purpose of this study was to assess the position of Kasasiur Banjar SMEs regarding implementation and targets to be achieved in the future. The result of the assessment is the maturity level of the current IT management position (existing). Furthermore, maturity targets will be determined for each selected IT process to be used as guidelines for the Kasasiur Banjar UMKM group in IT utilization. Maturity level assessment uses the domains EDM3, EDM4, APO7, DSS3, DSS6, and MEA1 with the calculation model referring to ISO/IEC 15504. Assessment results Maturity level related to IT development strategy is at level 1 (1.21), which is Performed. This means that Kasasiur Banjar SMEs have a concern for good IT management and processes have been implemented and achieved goals. The direction of governance development in UMKM Kasasiur Banjar is targeted to reach level 5, namely Optimizing