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Journal Socio Humanities Review
ISSN : 2808442X     EISSN : 28084144     DOI : https://doi.org/10.33603/jshr.v5i1
Core Subject : Humanities, Social,
Journal Socio Humanities Review is a peer-refereed open-access journal which has been established for the dissemination of state-of-the-art knowledge in the field of social science. This journal is founded under the Lembaga Penelitian Universitas Swadaya Gunung Jati. All submitted manuscripts will be initially reviewed by editors and are then evaluated by a minimum of two International Reviewers through the double-blind review process. This is to ensure the quality of the published manuscripts in the journal. The Journal Socio Humanities Review welcomes high-quality manuscripts resulted from a research project in the scope of social science, which includes, but is not limited to the following topics: (1) Humanities, Social, Law, and Religious; (2) Social Science and Communication; (3) Accounting, Business and Management; and (4) Education. The manuscript must be original research, written in English, and not be simultaneously submitted to another journal or conference.
Articles 5 Documents
Search results for , issue "Vol 3 No 1 (2023): VOLUME 3 NUMBER 1 MARCH 2023" : 5 Documents clear
The Effect of Leadership Style and Compensation on Employee Performance at the Aviary Bintaro Hotel Munarsih, Munarsih; Harsono, Yhonanda; Arianto, Nurmin
Journal Socio Humanities Review Vol 3 No 1 (2023): VOLUME 3 NUMBER 1 MARCH 2023
Publisher : Lembaga Penelitian Universitas Swadaya Gunung Jati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33603/jshr.v3i1.8522

Abstract

The purpose of this study was to determine the effect of leadership style and compensation on employee performance at the Aviary Bintaro Hotel. The method used in this research is descriptive with an associative approach. The sampling technique used is census or saturated sampling with a sample of 85 respondents. The analysis tool uses instrument testing, classical assumption testing, regression testing, correlation coefficient testing and the coefficient of determination as well as hypothesis testing. Based on the results of the study, it shows: (1) Leadership style has a positive and significant effect on employee performance with t count > t table or (6.327 > 1.989). (2) Compensation has a positive and significant effect on employee performance with t count > t table or (6.398 > 1.989). (3) Leadership style and compensation have a positive and significant effect on employee performance with a value of Fcount>Ftable or (27.259 > 2.720).
Characteristics of the Application of Economic Law in Development in Indonesia Chandra, Alex; Afriani, Linda
Journal Socio Humanities Review Vol 3 No 1 (2023): VOLUME 3 NUMBER 1 MARCH 2023
Publisher : Lembaga Penelitian Universitas Swadaya Gunung Jati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33603/jshr.v3i1.8524

Abstract

Economic law develops as the background of the rapid growth and development of economic activity in almost all parts of the world. The presence of the main economic law aims to regulate and limit all economic activities for the implementation of economic activity and economic development are not always appropriate and ignore the rights and interests of the wider community. Law of increasing economic development, one example when entering the era of the free market. Objective application of the law in the Indonesian economy is to set the rule of law to be easy in terms of planning related to the economy and pemerataannya for economic policy towards a pro-people. Therefore, it is necessary that every topic of discussion was the economy or technology experts and legal experts are concerned, especially regarding the development of various forms of corporate law in the Indonesian economy to come, which, according to the Working Group for the Economy, Finance and Industry (Ekuin) seen as a problem that is still not enough to be touched by the Indonesian Corporate Law. Economics that must be addressed in the conceptual, systemic and professional, but also the field of economic law and must be studied in line with the policy direction of the economy.
Analysis of The Implementation of Organic Waste Management Policy Zaini, Zaman; Sukmawati, Sonia; Tuswoyo, Tuswoyo; Junaidi, Ahmad
Journal Socio Humanities Review Vol 3 No 1 (2023): VOLUME 3 NUMBER 1 MARCH 2023
Publisher : Lembaga Penelitian Universitas Swadaya Gunung Jati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33603/jshr.v3i1.8706

Abstract

The background of this research isthephenomenonoftheuniquemanagementoforganicwaste. The activityiscarriedby "Woro-woro" andmodifyingthegarbagecarttoinclude 3 typesofgarbagebins, speakers,andloudspeakersonthegarbagecart.Thisprovesthat RW 017 hasimplementedGovernorRegulation 77 of 2020. Thismethodisdifferentfromotherregionsthatyethavetheknowledgeandawarenesstoproperlymanagewaste, especiallyorganicwaste.The objectivesofthisstudywere1) To analyzetheimplementationofthepolicy in managingorganicwastein RW 017 Pegangsaan Dua Kelapa Gading 2) To analyzetheobstaclesthatinfluencehowlocalgovernmentpolicy in managingorganicwaste inRW017PegangsaanDuaKelapaGading3)Toanalyzeeffortstoovercomeobstaclesthatoccurinhowlocalgovernmentpolicyinmanagingorganicwaste in RW017 Pegangsaan Dua Kelapa Gading.Thisresearchmethodusedqualitativeresearchmethodusingdatacollectiontechniquesofobservation, documentation, andinterviews. Thedataanalysistechniquesusedweredatareductionanalysis,datapresentation,anddataverification.Theresultsoftheresearchshowedthattheimplementationofthepolicyimplemented in RW 017 PegangsaanDua,namelytheGubernatorialRegulationnumber77/2020onWasteManagement in theScopeofcommunity unit, where RW 017 focusesonorganicwastemanagementissaidtobesuccessful. By segregatingwastefromitssourceandmanagingwaste, theamountofwastegeneratedisreduced. The obstacles in thewastemanagement in RW 017 are thelackofinsulationofgarbagebinsandtheunfavorableweather. The effortstoovercometheseobstacles are byprovidingwastecompartmentaccordingtothetypeofwasteandbycarryingoutdoublewastetransportation.
Development of a Synectic Model in Speeching Learning In Class Wiarsih, Asih
Journal Socio Humanities Review Vol 3 No 1 (2023): VOLUME 3 NUMBER 1 MARCH 2023
Publisher : Lembaga Penelitian Universitas Swadaya Gunung Jati

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Giving a speech is a form of communication that is widely used for various purposes and can support a person's success.Through learning to give speeches, students are expected to be able to convey thoughts, ideas and thoughts to teachers, friends and other people. Speech activities can also foster feelings of self-confidence and courage to appear in public. Speech skills are skills that are difficult for students to master. Therefore, it is necessary to develop a learning model that can improve students' speech skills, one of the models that the author developed is the synectic model. The problems contained in this research are1) What is the design of the synectic model developed in speech learning for class XI students at the Ciwaringin Islamic Boarding School, Cirebon Regency? 2) How effective is the synectic model in teaching speech for class XI students at the Ciwaringin Islamic Boarding School, Cirebon Regency? 3) What is the profile of the oratory skills of class XI students at the Ciwaringin Islamic Boarding School, Cirebon Regency?It is hoped that the results of this research can provide input for Indonesian language subjects, especially in learning speech. SampleIn this research there were 27 students in class XI of the Ciwaringin Islamic Boarding School, Cirebon Regency. The data collection techniques used in this research are: (1) library techniques (2) test techniques: a. Initial test (pretest) b. Final test (post test). Based on the discussion of research results, data interpretation, and hypothesis testing, the following conclusions were obtained: (1) the ability of Class IX students at the Ciwaringin Islamic Boarding School, Cirebon Regency, in making speeches before learning using synectic development was relatively low. Based on calculations, the percentage only reached 61.9% or more than half did not have the ability to make a speech. (2) the ability of Class. Based on calculations, the percentage reached 72.6% or almost all of them had the ability to make speeches. (3) The use of the development of the synectic model in learning speeches in class Based on the results of product moment correlation test calculations, it is known that r = 0.884 or 88.4% and based on the interpretation table, it is considered a very strong correlation..Thus, it can be concluded that the development of the synectic model is able to improve students' speech skills.
ARTIFICIAL NEURAL NETWORK ALGORITHM EVALUATION, MULTIPLE REGRESSION ANALYSIS AND SUPPORT VECTOR MACHINE ON STOCK MARKET PREDICTION johar, ade
Journal Socio Humanities Review Vol 3 No 1 (2023): VOLUME 3 NUMBER 1 MARCH 2023
Publisher : Lembaga Penelitian Universitas Swadaya Gunung Jati

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Abstract

Financial time series is one of the most challenging applications of modern time series forecasting. Financial time series is closely related to noise (disturbance signals), non-stationary and deterministic chaotic. The characteristics indicate that no exhaustive information can be obtained from the past behavior of financial markets to capture the full dependency between future prices and that of the past. The purpose of this study is to determine the correct algorithm for Artificial Neural Networks, Multiple Regression Analysis and Support Vector Machines so that the highest accuracy value for prediction trend accuracy and the smallest value for Root Mean Square Error can be obtained. The research method used is 1. Neural network, 2. SVM, 3. Linear regression. From the data that has been tested using the Rapidminer tool with parameters that refer to several literatures [5], data collection is taken from the Stock Market Online Application "MetaTrader version 4" of the type "daily/Daily" with a time span of "03/09/2001 up to 25/07/2012", a total of 2052 data", with the attribute "Date, Open, High, Low, Close, Volume" with the Main attribute "Close" using the Support vector machine algorithm, artificial neural network and multiple linear regression, then the conclusion drawn is that the value close to the series value is the value tested on the support vector machine algorithm, with parameters For RMSE values close to the value "0" obtained from the measurement results in the SVM Algorithm on the RBF (radial basis function) kernel with a value "gamma" γ = 100 with RMSE = 0.000, and SE = 0.000. with prediction accuracy error = 0.976

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