Hasanuddin University Graduate School: Open Journal Systems
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Model Development of Time and Cost Performance Measurement Methods - Earned Value Management (EVM) With a Combination of Dynamic Uncertainty Analysis (Case Study Road Construction Project in South Sulawesi Province)
Full text linkIn the execution cycle of a construction project often found a divergence varians especially with respect to time and costs, which in detecting the occurrence of a deviation of the project is often carried out an evaluation of the performance of the results that have been achieved both on time and cost. One method that is most frequently used in evaluating the performance of the cost and time that the methods Earned Value Management (EVM), but in the study of analysis methods EVM can be concluded that the assumptions used only linear and static i.e. the estimation of the time and cost of the project from performance has been generated just shows the estimated value of which is rigid and not dynamic, where as if the result of the estimated project cost and time performance shows one possible course. Therefore, the purpose of writing this article which is to carry out a development model of performance measurement time and cost of the project by analyzing a combination of uncertainty dynamic against time and cost of the project, which will be used in combination by entering the numbers uncertainties optimistic, enable / ideal and pessimism about the estimated time performance and future costs at the time of the evaluation process is done (Freeze time). From the study results of the analysis conducted can be formulated basic equation in the form of indicators that can be formulated to predict total project time and cost of the three conditions, namely optimistic pessimist and ideal and analysis to the level of probability methods normal distribution to predict time and total cost of completing a project construction
The Internet of Things Research in Agriculture: A Bibliometric Analysis
Full text linkAn in-depth analysis of Internet of Things (IoT) applications expertise for agriculture. This article's primary purpose is to provide a comprehensive and organized review of IoT research in agriculture themes. Although recent research has offered some pertinent information regarding the analysis of IoT applications in agriculture, further information is needed. Bibliometric analysis is utilized to objectively investigate, and develop information knowledge of IoT applications in agriculture. The papers investigated and examined the themes of IoT-agriculture by analyzing the co-occurrence keywords. The analysis began by picking 550 papers from the Scopus database that were published from 2003 to May 2023. The results show that IoT agriculture papers have grown rapidly since 2015 until now. The three journals that published the most IoT agricultural publications are Sensors (Switzerland), Computers and Electronics in Agriculture, and IEEE Access. Based on the co-occurrence keywords, the focus of IoT paper in agriculture is wireless sensors network (WSN) and radio frequency identification (RFID) for agricultural monitoring, smart agriculture with IoT blockchain and machine learning, IoT greenhouses with cloud computing and artificial intelligence (AI), components of IoT agriculture, precision agriculture with low power low range (LoRa) communication network and IoT cloud platform, smart farming with sensor networks and automation. The study provided an understanding of themes of the IoT agriculture that has been carried out and its future growth. The future of IoT application will elaborate a system efficient, consumes less energy, and emits less carbon dioxide. It has begun by combining IoT-agriculture with the technology edge-fog-cloud layer
Patterns in Vegetables Consumption in Kashmir Valley, India
Full text linkOver the years, the consumption of vegetables has grown. Due to growing consumer concern over health-related issues, this has happened. The purpose of this study is to investigate the patterns in vegetable consumption and exploration of the underlying factors for that existing pattern. In this study, information was gathered from household surveys. Data was analyzed using multinomial logistic regression and descriptive analysis. The majority (76.6%) of the respondents had up to seven family members. one-third of the sampled population falls in the service sector of the economy (43%). most of the sample households were from rural backgrounds (55.9%). Around (87.8%) of the sample population consumed less than 3 servings of vegetables in a day. The quantity of vegetable consumption as a dependent variable has three categories less than, greater than, and equal to three serving sizes. While taking greater than three serving sizes as a reference category and less than three serving sizes as the dependent variable. It was found that as the family size increases from three members to more than that there is a likelihood increase in taking vegetables more on a per capita basis per day with an odds ratio of 0.21(0.4-0.9), similarly there is a likelihood increase in the vegetable consumption with the increase in monthly income 0.5(0.12-0.95), as the frequency of buying vegetables increases there is an increase in vegetable consumption, accessibility has also significant bearing on its intake. Due to less access to the marketplaces, rural residents have low trips to grocery shops and rely mostly on homegrown vegetables. Respondents from urban residents have frequent trips to the grocery shops mostly due to the availability of vegetables. The results show that implementing an appropriate pricing strategy and promoting market infrastructure will augment the dietary diversity in the population which will lead to the holistic development of the vegetable industry as well as the required nutritional needs efficiently.
Strengthening National Regulations in Combating Cross-Border Trafficking: Empirical Approach and the Way Forward
Full text linkAt practical level, both nationally and internationally, various efforts have been made to deal with increasingly acute human trafficking. However, as it turns out in practice, all existing legal instruments have not had a deterrent effect and have broken the chain of human trafficking to this day. Even more so in Indonesia. This article focuses on examining the answer to the problem, namely the national policy to prevent human trafficking and the efforts that can be made to eradicate increasingly complex human trafficking. This qualitative study is related to the policy and implementation of international and national policies to address human trafficking in cross-country border legal research. This paper provides information on the latest trends in research. The results show that the current moment of globalization is witnessing an extraordinary movement of people, legitimate and illegitimate, across national and international borders. This global movement of people has created panic across borders. It manifests itself in strengthening border controls and tightening immigration laws as a threat to the nation-state's securit
Reformulation of Decision-making System in ASEAN
Full text linkASEAN is a regional organization for Southeast Asia that was established on 8 August 1967 by five ASEAN countries at the time, namely Indonesia, Singapore, Malaysia, Thailand and the Philippines. Today, ASEAN has eleven members with Timor Leste as the youngest member. Like any other international organization, ASEAN has its own decision-making system. The decision-making system in ASEAN before the Charter was only consultation and consensus. That is, decision making based on the agreement of all members and can only be decided if no one refuses, this refers to the Bangkok Declaration. Meanwhile, after the establishment of the 2007 ASEAN Charter, there is a new decision-making system, namely ASEAN Minus-X. A decision-making system that does not rely on the approval of all its members, so that a policy can be decided even if only approved by a few members. This decision-making system can only be done in the economic field. From these two decision-making systems, there are several challenges that exist so that new ideas emerge to reformulate the decision-making system in ASEAN, which is considered relevant to the times and can accommodate all the interests of ASEAN members
The Use of Artificial Intelligence in Armed Conflict under International Law
Full text linkArtificial Intelligence (AI) is a technological achievement that simulates human intelligence through machines or computer programs. The integration of AI in military operations aims to minimize combatant casualties and enhance effectiveness in warfare. Despite the advantages and significance of this research, concerns arise regarding the ideal implementation of AI in armed conflicts due to potential security challenges. A significant issue lies in the legal perspective governing AI as a comprehensive defense tool. This paper employs a juridical normative research method based on a statutory approach to provide a descriptive analysis and examine the regulatory framework surrounding AI in armed conflict. The results indicate that the absence of comprehensive regulations complicates the accountability framework, making liability determination intricate, particularly when AI malfunctions due to substandard quality or improper use. In such cases, accountability may extend to both the creator and the user. The concept of liability for violations in armed conflict is explored according to international law, highlighting the implications and associated responsibilities of using AI within legal principles. This paper concludes that AI regulation must be crafted to ensure usage aligns with established procedures within the framework of international law.
Artificial Intelligence and Administrative Justice: An Analysis of Predictive Justice in France
Full text linkThis article critically analyzes the ethical and legal implications of adopting predictive analytics by the French administrative justice system. It raises a key question: Is it wise to integrate artificial intelligence into the administrative justice system, considering its potential benefits, despite the associated risks, ethical dilemmas, and legal challenges? The research employs a method based on an extensive literature review, a qualitative analysis of the adoption by the French administrative justice of predictive analytics tools, and a critical evaluation of the benefits and issues these tools bring. The study finds that AI can make the administrative justice system more efficient, reduce backlogs, and enhance the consistency and predictability of judicial decisions. However, the study also identifies important risks and serious ethical and legal issues associated with integrating AI tools into the justice system. Especially, AI utilization can lead to the dehumanization of justice and poses real risks to the independence and impartiality of justice. While AI can offer significant benefits to all the stakeholders of the administrative justice system, its integration must be approached with caution. A progressive and responsible approach to AI adoption is necessary to avoid compromising judicial integrity and upholding fundamental justice values.
The Effect of PET Plastic Waste on Crack Pattern of Fly Ash-Rice Husk Ash-Based Geopolymer Concrete
Full text linkConstruction materials are becoming more and more necessary as the times change. When it comes to building infrastructure, concrete is crucial. However, concrete has recently come under fire from environmental conservationists because of its carbon dioxide (CO2) emissions during the cement-making process, which have been connected to the ozone layer's weakening as a result of global warming. Furthermore, the quantity of organic and industrial waste keeps rising annually. The primary focus in the transition to Indonesia Gold 2045 is the lack of effort in the process of recycling garbage into useful commodities. The purpose of the study is to examine the formation of fractures upon compression of geopolymer concrete samples composed of fly ash and rice husk ash. In this investigation, we included 5% rice husk ash in fly ash-based geopolymer concrete, changed the composition by adding PET plastic fibre at 0%, 0.25%, 0.5%, and 0.75%, and then looked for a crack pattern brought on by compressive fatigue. The cylindrical test specimens, measuring 100 mm by 200 mm, were examined seven and twenty-eight days following moist curing. According to the study's findings, columnar fracture patterns predominated for PET fluctuations of 0.5% and 0.75%, whereas shear and/or cone crack patterns prevailed for PET variations of 0% and 0.25%
Analysis of Customer Retention Determinant Factors on Generation Z Digital Wallet Services in Indonesia
Full text linkThis study aims to identify the factors influencing customer retention in Generation Z's use of digital wallet services in Indonesia. The research uses PLS-SEM through SmartPLS 4.1.0. A total of 334 respondents from various cities in Indonesia participated in the survey. The analysis employs outer model evaluation and inner model evaluation to examine the relationships between brand image, attention to safety, consumer satisfaction, and customer retention. The findings indicate that brand image does not have a direct effect on customer retention but exerts a significant indirect effect through consumer satisfaction. Consumer satisfaction fully mediates the relationship between brand image and retention, while it partially mediates the relationship between attention to safety and retention. The strength of the mediation effect was confirmed using the bootstrapping method. These results provide valuable insights for digital wallet service providers in developing strategies to retain Generation Z users by enhancing both brand image and security features, ultimately improving consumer satisfaction
Heritability, Correlation and Path Analysis of Agronomic Characters in M4 Toraja Local Red Rice Mutans
Full text linkRice is an important commodity for main staple in Indonesia. The need for rice will increase so that efforts are needed to increase its production. The use of superior varieties is an option to optimize land use whose area is increasingly limited due to population growth. The development of varieties is not only considered in terms of food production but is developed as an ingredient to meet nutritional needs. One of the local rice varieties that have the potential to be developed is Toraja local red rice (Pare Lea). Development of local rice character improvement through mutation breeding. Selection of superior genetypes is not only based on high production characters, but also the necessary information related to the relationship between characters that support production. This study aims to obtain information about the relationship between the components of growth and production of Toraja local red rice. This experiment used 9 mutant lines at fourth generation (M4)Â as treatment and 1 non-mutant line as control. Agronomic characters that can support rice production were such as plant height, panicle length and grain yield per plan