Model Penyaluran Zakat Sebagai Instrumen Keuangan Sosial untuk mencapai Maqashid Syariah dengan menggunakan Pendekatan Analytic Network Process

Islam requerer tompay zakat for wellbeing of Islamic people. Zakat is the forth of Islamic pillars. The contribution of zakat and maqashid syariah has the direct relations. This study aimed to know the relevale of zakat’s contribution to reach maqashid syariah with ANP method. ANP method is used to completed the problem in decomposition of synthesis and criterion scale. The study I s used techniques purposive sampling. Responden the study is expert and knowledgeable in this field (zakat). The result of this study showed the rank of each criterion from senif contribution of zakat. Senif fakir criterion is that have’nt anything. Senif miskin criterion is people that have the money less than the nisab. Senif amil criterion is mukallaf. Senif muallaf criterion is the new people in Islam religion. Senif gharimin criterion is the owed for his life. Senif fisabilillah criterion is established the dakwah center. Senif Ibnu sabil criterion is musafir for wealfare. The priority of maqashid syariah in senif contribution of zakat is religions. Then the priority contribution of zakat to reach maqasid syariah is fakir. The contribution of zakat should be distributed better for the welfare of muslims.

Pengukuran Tingkat Kapabilitas Tata Kelola Teknologi Informasi Menggunakan Framework Cobit 5 dan Rekomendasi Perbaikan (Studi Kasus: Badan Pengembangan Teknologi Informasi)

This study aims to measure the level of IT Governance capability and provide recommendations for improving IT Governance in Information Technology Development Institute using COBIT 5. The domains chosen in this research are APO and BAI in order to improve IT services and optimize IT implementation in BPTI environment. The research method used are interviews and questionnaires in obtaining research data. Based on the results of the study, it was found that the measurement of the eight selected processes indicated that most of the processes were already at level 1, and a few were at level 0. Based on the results of prioritization, the process that became the top priority in making improvements was APO07, namely Managing Human Resources. This research was only carried out in eight processes which were in accordance with previously mapped, so that this research was more complete and comprehensive, it could be carried out using other process areas in COBIT 5.

Analisis Diskriminan dalam Menentukan Fungsi Pengelompokan Kabupaten/Kota di Indonesia berdasarkan Indikator Indeks Pembangunan Manusia

The Human Development Index (HDI) is a measure used to measure the success of human development in an area. There are several indicators used to compile the HDI value. Previously, regencies/cities were grouped based on the HDI indicator. The grouping is done using K-means cluster analysis with 4 categories, namely regencies/cities that have low, medium, high, and very high HDI indicator values. From the results of determining the category of the HDI indicator in an area, we need a function that can be used to classify an object into one of the HDI indicator value categories. The compilation of the classification function is carried out using discriminant analysis. The results obtained from the discriminant analysis are that there are 10 variables or indicators that fall into the discriminant function. The resulting discriminant function is quite good in classifying each group with a success rate of more than 85% and the discriminant function is supported by a fairly good validation success rate, namely with a classification accuracy of 93.20%.

Analisis Pengaruh Pengetahuan, Kepribadian, dan Reputasi Terhadap Keputusan Masyarakat Memilih Bank Syariah di Banda Aceh

The study was conducted to determine the effect of knowledge, personality and reputation on people's decisions to choose Islamic banks. The research subjects were all people of Banda Aceh city in early 2020 as many as 270.321 people using the Slovin formula with cluster random sampling technique representing 9 sub districts total 100 respondents using Islamic banking services. The data analysis technique uses linear regression to answer the proposed hypothesis. The results show that all independent variables of knowledge, personality and reputation influence the variables related to the customers decision to choose Islamic bank in the city of Banda Aceh.

Pengaruh Belanja Ekonomi di Era Desentralisasi Fiskal terhadap Kemiskinan di Indonesia

The purpose of this study was to determine the effect of provincial government sectoral spending on poverty in the era of fiscal decentralization in Indonesia. Meanwhile, the sectoral expenditure variables that are considered closely related to poverty are economic spending, housing and public facilities spending, health spending, education spending, and social protection spending according to provinces in Indonesia. The data in this study is panel data, namely cross-section of 33 provinces, and time series of 4 years, namely the period 2012 - 2015. After the Chow test and Hausman test, as well as the lagrange multiplier test, the analysis model in this study was determined to be the random effect model, which is a common analysis model in panel data analysis. This study concludes that partially negative economic spending on poverty, meaning that sector spending can reduce poverty in the era of fiscal decentralization in Indonesia. In this analysis, it was found that the ability of the independent variable in explaining the dependent variable was 0.190165 units or 19.02%, and the remaining 80.98% was explained by other variables not included in this study.

Pengaruh Return on Asset, Total Assets Turnover, Price Earning Ratio dan Dividend Per Share Terhadap Harga Saham (Studi Empiris pada Perusahaan Manufaktur Sub Sektor Pertambangan yang Terdaftar di BEI Periode 2015-2019

This study aims to see the effect of the effect of Return on Asset (ROA), Total Asset Turn Over (TATO), Price Earning Ratio (PER), and Dividend Per Share (DPS) on share prices in mining sub-sector companies on the Indonesia Stock Exchange for the period of year. 2015-2019 and using a sample of 17 companies that match the criteria. Model data analysis and hypothesis testing using descriptive statistics, classical assumption test, multiple linear test. The test used the Microsoft Excel 2016 software assisted hypothesis, and the Statistical Package for Social Sciences (SPSS) version 23.0. The sampling technique used purposive sampling. The results prove that partially and simultaneously, Return on Asset (ROA), Total Asset Turn Over (TATO), Price Earning Ratio (PER), and Dividend Per Share (DPS) have a significant effect on stock prices.

Analisis Efisiensi Teknis Industri Perabot di Kecamatan Jeumpa Kabupaten Bireuen dengan Data Envelopment Analysis (DEA) Method

This study aims to determine the technical efficiency of input use (investment value, raw material value and labor cost) on the output (production value) of the furniture industry in Jeumpa sub-district, Bireuen Regency. The sample used is 53 industrial units which are all furniture industry units in Jeumpa District, Bireuen Regency. The data analysis method uses the Data Envelopment Analysis (DEA) analysis tool with the VRS approach. The results showed that only 30 units of furniture industry in Jeumpa District were efficient in using input, while 23 other industrial units had not been able to achieve efficiency in input use. Keywords: production value, investment costs, raw material costs, labor costs, DEA.

Pengaruh Physical Evidence terhadap Loyalitas Nasabah Bank Syariah: Peran Kepuasan sebagai Variabel Pemediasi

This study analyzes the effect of physical evidence on customer satisfaction and loyalty of sharia banks in Banda Aceh. The sharia banks comprise Bank Aceh Syariah, BRI Syariah, BNI Syariah, Bank Mandiri Syariah, and Bank Danamon Syariah. Data gathering through distributing questionnaires to 250 customers who were determined by purposive sampling. Using multivariate statistical structural equation modeling (SEM) as a data analysis means, the study found that physical evidence has a positive effect on customer satisfaction and loyalty. The existence of customer satisfaction mediates the effect of physical evidence on customer loyalty. Keywords: Physical evidence, customer’s satisfaction, customer’s loyalty and structural equation modeling.