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All Journal Teknosains: Media Informasi Sains dan Teknologi TheJournalish: Social and Government Journal of Mathematics and Applied Statistics
Aditya Idris
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Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Law, Crime, Criminology & Criminal Justice Mathematics Physics Social Sciences

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ANALISIS STRUCTURAL EQUATION MODELLING DAN TERAPANNYA (Studi Kasus: Pengaruh Kualitas dan Relationship Marketing Terhadap Kepuasan, Kepercayaan dan Loyalitas Mahasiswa Terhadap Perpustakaan UIN Alauddin Makassar) -, Irwan; Idris, Aditya
Teknosains Vol 8, No 2 (2014): JULI
Publisher : Fakultas Sains dan Teknologi UIN ALauddin

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

Abstract

Structural Equation Modeling ( SEM ) is a multivariate analysis were used to analyze the relationship between variables in a complex manner. University libraries in higher education has a vital role. University libraries can be said to be at the heart of higher education, as it became a major contributory factor for the implementation of Tri Dharma Perguruan Tinggi. Quality of service at the library is very important to the success of service is realized as a library service. This study aims to determine the SEM parameter estimation using Maximum Likelihood as well as to analyze the effect of variable quality and relationship marketing in relation to satisfaction, trust and loyalty student UIN Alauddin Makassar students. This study was conducted by questionnaire, the data obtained by distributing questionnaires to 116 respondents. The population in this study was student UIN Alauddin Makassar. The sampling method used was Accidental Sample.Quality of service at UIN Alauddin Makassar Library does not have a significant effect on student satisfaction and confidence, while relationship marketing is done by the Library of UIN Alauddin Makassar in fact have a significant effect on student satisfaction and confidence UIN. From the calculation of the index Loyalty student UIN UIN Alauddin Makassar Library by 86%. For the lowest level of this calculation is that the satisfaction index of 65%. And for the student confidence index value of UIN Alauddin Makassar Library by 70%. The third variable is measured by the quality of services and relationship marketing carried out in the UIN Alauddin Makassar Library.Keywords: SEM, Maximum Likelihood, Service Quality, Relationship Marketing, Satisfaction, Confidence, Student Loyalty.
ANALISIS STRUCTURAL EQUATION MODELLING DAN TERAPANNYA Irwan Irwan; Aditya Idris
Teknosains Vol 8 No 2 (2014): JULI
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/teknosains.v8i2.1846

Abstract

Structural Equation Modeling ( SEM ) is a multivariate analysis were used to analyze the relationship between variables in a complex manner. University libraries in higher education has a vital role. University libraries can be said to be at the heart of higher education, as it became a major contributory factor for the implementation of Tri Dharma Perguruan Tinggi. Quality of service at the library is very important to the success of service is realized as a library service. This study aims to determine the SEM parameter estimation using Maximum Likelihood as well as to analyze the effect of variable quality and relationship marketing in relation to satisfaction, trust and loyalty student UIN Alauddin Makassar students. This study was conducted by questionnaire, the data obtained by distributing questionnaires to 116 respondents. The population in this study was student UIN Alauddin Makassar. The sampling method used was Accidental Sample.Quality of service at UIN Alauddin Makassar Library does not have a significant effect on student satisfaction and confidence, while relationship marketing is done by the Library of UIN Alauddin Makassar in fact have a significant effect on student satisfaction and confidence UIN. From the calculation of the index Loyalty student UIN UIN Alauddin Makassar Library by 86%. For the lowest level of this calculation is that the satisfaction index of 65%. And for the student confidence index value of UIN Alauddin Makassar Library by 70%. The third variable is measured by the quality of services and relationship marketing carried out in the UIN Alauddin Makassar Library.
Ketahanan Pangan, Air, Energi Dan Pertanian: Analisis Sebaran Spasial Dan Clustering Provinsi Di Indonesia Aditya Idris; Muh Hizbul ZM
TheJournalish: Social and Government Vol. 4 No. 5 (2023): Special Issue
Publisher : CV The Journal Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55314/tsg.v4i5.598

Abstract

Ketahanan pangan menjadi hal yang diupayakan terutama bagi negara yang memiliki penduduk yang sangat banyak, guna memenuhi kebutuhan pangan penduduknya, termasuk Indonesia.. Nilai indeks ketahanan pangan dapat dibangun dari beberapa indikator diantaranya air, energi dan pertanian serta ketahanan pangan itu sendiri. Saat ini ketahanan pangan menjadi isu strategis karena menjadi indikator dalam pemenuhan kebutuhan masyarakat. Penelitian ini bertujuan untuk mengetahui sebaran spasial dari indikator yang digunakan serta melihat perkembangan indikator ketahanan pangan, air, energi dan pertanian berdasarkan klasterisasi provinsi di Indonesia. Data dalam penelitian ini dikumpulkan dari berbagai instansi terkait dengan menggunakan tujuh variabel berdasarkan indikator-indikator tersebut. Klasterisasi ini dianalisis menggunakan metode K-Medoids berdasarkan model terbaik. Nilai indeks DBI menghasilkan dua klaster yang dikategorikan sebagai provinsi dengan peningkatan terbaik dari indikator-indikator yang digunakan. Klaster 1 yang terdiri dari 14 Provinsi lebih baik dibandingkan dengan klaster 2 dari sisi indikator air, energi dan pertanian. Sedangkan klaster 2 yang terdiri dari 20 Provinsi lebih baik dari indikator ketahanan pangan. Upaya dalam menguatkan ketahanan pangan, air, energi dan pertanian di provinsi-provinsi di Indonesia dapat dilakukan berdasarkan hasil klasterisasi yang telah dilakukan. Prioritas kebijakan provinsi pada klaster 1 dapat difokuskan pada memperkuat ketahanan pangan, sedangkan klaster 2 fokus pada peningkatan indikator air, energi dan pertaniannya.
Spatial Effect Analysis of Total Financing and Factors Affecting Them at Banking in Indonesia Idris, Aditya; Didiharyono, Didiharyono
Journal of Mathematics and Applied Statistics Vol. 1 No. 1 (2023): June 2023
Publisher : Yayasan Insan Literasi Cendekia (INLIC) Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35914/mathstat.v1i1.39

Abstract

This study aims to formulate a pattern of spatial linkages between provinces in Indonesia based on the amount of bank financing through the influencing factors, namely third-party funds (DPK), Non-Performing Financing (NPF), MSME financing loans and GRDP. The data used is 2021 data. By using the Spatial Regression method with Moran' s I Test, it will look for relationships and inter-regional (spatial) relationships in the amount of bank financing based on the observed factors. From the results of data analysis, the Moran's I value obtained is 0.4439. Then based on the test results |2,2444|>1.96, the decision making according to the existing hypothesis is H0 rejected. It can be concluded that there are spatial dependencies between provinces based on the amount of bank financing in each province according to the observed factors, namely DPK, NPF, MSME financing credit and GRDP. The expected output in implementing this developed strategy is to increase the amount of banking financing that is evenly distributed in each province in order to achieve the objectives from the economic aspect while taking into account the benefits for banking institutions. The improvement in the economic aspects in question includes increasing the usability of money, increasing the usability of goods, maintaining the country's economic stability and as a bridge to increase national income.
Opportunities and Strategies for Accelerating Digital Transformation: Spatial Distribution Analysis and Clustering Using K-Medoids Method In South Sulawesi, Indonesia Idris, Aditya; Susilawati, Sumarni
Journal of Mathematics and Applied Statistics Vol. 2 No. 1 (2024): June 2024
Publisher : Yayasan Insan Literasi Cendekia (INLIC) Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35914/mathstat.v2i1.188

Abstract

The increase in internet usage among the population in South Sulawesi prsesents a golden opportunity for accelerating digital transformation efforts. This can be leveraged to boost economic growth, particularly by maximizing the key sectors in South Sulawesi. The aim of this study is to analyze the spatial distrubution and perform clustering of the regencies/cities in South Sulawesi based on digital transformation indivators, as well as to determine the multiplier effect on other regions in Sulampua. The research method employed is quantitative, utilizing descriptive analysis and clustering analysis of regencies/cities in South Sulawesi with the K-Medoids method. The results show that spatially, the distribution of internet users, e-commerce users and SMEs using the internet have quite varied patterns and reveal a high disparity in service users among regencies/cities in South Sulawesi. Meanwhile, the clustering results indicate that the regencies/cities in South Sulawesi are balanced between cluster 1 and cluster 2, each consisting of 12 regencies/cities. It was found that cluster 2, which includes regencies and cities in South Sulawesi, has better variable values in almost all variables comparated to the regencies/cities in cluster 1. Generally, cluster 2 dominates all the variables used, while cluster 1 is only superior in the variable of the number of SMEs. The suggestions and policy recommendations for the government based on this study on the acceleration of digital transformation with spatial distribution and clustering analysis can help create on environment that supports sustainable digital economic growth. With coordinated and collaborative policy strategies, South Sulawesi can achieve significant acceration in digital transformation. 
Co-Authors Didiharyono, D. Irwan - Irwan Kasse Muh Hizbul ZM Susilawati, Sumarni