Judul: Pengaruh Pembiayaan Hijau Syariah dan Faktor-faktor Lainnya Terhadap Emisi Karbon Dioksida di Negara-negara OKI
Abstrak: Degradasi lingkungan terutama persebaran emisi CO2 per kapita di negara-negara OKI telah meningkat sangat cepat dengan salah satu faktornya adalah pembiayaan perbankan syariah. Penelitian ini bertujuan mengetahui pembiayaan perbankan syariah dan faktor umum lainnya dalam memengaruhi emisi CO2 per kapita di negara-negara OKI. Metode yang digunakan adalah analisis data panel dengan model Fixed Effect Model (FEM) pembobotan Generalized Least Square (GLS). Hasil penelitian ini menunjukkan bahwa pembiayaan perbankan syariah, PDB riil per kapita, dan perdagangan internasional berpengaruh positif dan signifikan terhadap emisi CO2 per kapita. Kemudian, variabel urbanisasi berpengaruh negatif namun tidak signifikan terhadap emisi CO2 per kapita. Hasil penelitian ini dapat digunakan sebagai dasar kebijakan dalam regulasi pemerintah dan perusahaan khususnya perbankan syariah di negara-negara OKI.
Keyword: CO2 emissions, Environmental Degradation, Financing

Judul: Analysis of Determinants of Islamic Banking Financial Performance in OIC Countries
Abstrak: Pengembangan potensi perbankan syariah di kawasan OKI harus diimbangi dengan kinerja perbankan syariah yang baik agar dapat bersaing di pasar perbankan global serta mengantisipasi risiko dari faktor internal maupun faktor eksternal. Penelitian ini bertujuan untuk menganalisis dan membandingkan maupun menjelaskan pengaruh faktor internal dan faktor eksternal terhadap kinerja keuangan perbankan syariah di negara-negara OKI mulai tahun 2017 sampai 2022. Metode yang digunakan adalah analisis deskriptif dan analisis regresi data panel. Hasil penelitian menunjukkan bahwa FDR dan NPF berpengaruh negatif signifikan terhadap kinerja keuangan perbankan syariah. Indikator makroekonomi pertumbuhan PDB berpengaruh positif signifikan terhadap kinerja keuangan perbankan syariah. CAR, inflasi, dan tingkat suku bunga menunjukkan hasil tidak berpengaruh signifikan terhadap kinerja keuangan perbankan syariah di negara-negara OKI., The development of Islamic banking potential in the OIC region must be balanced with good Islamic banking performance in order to compete in the global banking market and anticipate risks from internal and external factors. This study aims to analyze and compare and explain the effect of internal factors and external factors on the financial performance of Islamic banking in OIC countries from 2017 to 2022. The method used is descriptive analysis and panel data regression analysis. The results showed that FDR and NPF had a significant negative effect on the financial performance of Islamic banking. Macroeconomic indicators of GDP growth have a significant positive effect on the financial performance of Islamic banking. CAR, inflation, and interest rates show results have no significant effect on the financial performance of Islamic banking in OIC countries.
Keyword: Internal and external factors, Islamic banking performance, OIC countries, panel data regression

Judul: Graphology Analysis Based on Letter a and t Using Perceptron.
Abstrak: Graphology or handwriting analysis is a method of identifying, analyzing, evaluating, and understanding personality through the strokes and patterns revealed by handwriting. A person who can analyze handwriting is called a graphologist. A graphologists can be subjective in their assesments different graphologist can have different analysis of the same handwriting. Therefore, a computer technology may help to minimize the subjectivity. This research used perceptron to analyze personality based on handwriting. Perceptron is one method of neural network. This research analyze two letters to letter a and t image. Letter a are represented by 135 images, consisting of 81 images as training data and 54 images as testing data. There are 150 images used for t images, consisting of 90 images as training data and 60 images as testing data.There are 5 experiments consisting of 2 experiments for letter a and 3 experiments for letter t. The result is the character of each class letter a and t where each parameters there are 3 classes. The accuracy of letter t and letter a was 55% and 88.89% respectively.
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