Form factors and volume models are often be used in the estimation of tree volumes. However, a few studies have developed and evaluated the accuracy of form factors and volume models for estimating tree volumes of community forests. This study aimed to formulate form factors and volume models and assess their prediction accuracy for estimating tree bole volumes of mahogany at community forests in Central Java. This study used 120 sample trees with diameters of 6–38 cm to formulate artificial and absolute form factors and to develop tree bole volume models. These form factors coupled with bole height and total height were used in simple volume equations. Regression analyses were used to develop volume models using the diameter and total height as predictors. The simple volume equations and volume models' prediction accuracy was evaluated using a cross-validation dataset and independent dataset (30 sample trees). The artificial form factor (0.68 ± 0.11) of mahogany, which was higher than the absolute form factor (0.46 ± 0.09), provided accurate estimates of tree bole volumes when it was used with the bole height instead of the total height. The volume model that uses diameter and total height produced the most accurate estimates, while the volume model that uses diameter alone provided the most practical yet reliable tool for estimating tree bole volumes of mahogany. The results of this study are useful for improving community forest management.

Krandegan Digital Village is an example of a smart village, which proved to be able to rise from desolate. The village started from a poor status and turned into the first independent village in Purworejo Regency through optimizing digitalization, especially in the fields of economy and efficiency. Krandegan as a pioneer of the digital-based village in Purworejo has been successful in many proud achievements. However, Krandegan's success cannot be separated from various obstacles faced previously. This study aims to explore what are the obstacles and the key to success of Krandegan Digital Village in supporting the Smart Village program. This research used a qualitative clustering method through a network of ideas using the Wordle program. The result of this research found that Krandegan Village implementation constraints have several important points, namely mindset, needs, interests, application development, socialization, and digital literacy. Meanwhile, the success of the Krandegan Digital Village is influenced by several important factors, including transparency, institutions, human resources, leadership, and thinking strategies. This study provides important information about the transformation of an underdeveloped village into a smart village.

Kemiskinan menjadi salah satu penyakit perekonomian yang sulit dihilangkan di hampir setiap Negara, terlebih lagi di Negara berkembang seperti Indonesia yang masih memiliki tingkat kemiskinan cukup tinggi dibandingkan dengan beberapa Negara disekitarnya. Terdapat isu menarik berkaitan dengan masalah kemiskinan di Indonesia yaitu adanya ketimpangan pendapatan.Namun tidak disertai dengan peningkatan penurunan angka kemiskinan. Salah satu indikasi yang menyebabkan sulitnya menurunkan angka kemiskinan adalah adanya kecurangan-kecurangan dilakukan pemerintah. Misalnya dengan melakukan praktek korupsi. Penelitian ini bertujuan untuk melihat dan menganalisis dampak ketimpangan pendapatan, tata kelola pemerintahan dan korupsi terhadap tingkat kemiskinan di Indonesia. Metode yang digunakan adalah SPSS. Hasil estimasi menunjukkan bahwa ketimpangan pendapatan, tata kelola pemerintahan dan korupsi masing-masing mempunyai pengaruh signifikan terhadap tingkat kemiskinan.

Tujuan dari penelitian ini adalah untuk mengetahui pengaruh penjualan terhadap laba bersih PT. Mayora Indah Tbk. variabel dalam penelitian ini adalah variabel bebas (independent variabel) dan variabel terikat (dependent variabel). Variabel bebas (independent variabel) adalah penjualan (X) sedangkan variabel terikat (dependent variabel) adalah laba bersih (Y). Dalam penelitian ini digunakan laporan laba rugi tahun 2012 - 2021 PT. Mayora Indah Tbk. Sebagai sampel. Metode analisis yang digunakan untuk menganalisa permasalahan yang telah dideskripsikan dan pembuktian hipotesis adalah analisa deskriptif dan analisa regresi linier sederhana. Hasil pengujian menunjukkan bahwa penjualan mempunyai pengaruh yang signifikan terhadap laba bersih. Hasil ini dapat dilihat dari uji linier menunjukkan bahwa nilai (R-square) 0,528 hal ini menunjukkan bahwa penjualan mempunyai pengaruh 52,8% terhadap laba bersih sisanya 47,2% dipengaruhi oleh variabel lain yang tidak diteliti.

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