Claim Missing Document
Check
Articles

Found 25 Documents
Search

Analisis Good Governance dan Kualitas Pegawai terhadap Kinerja Pengelolaan Keuangan Daerah Melalui Kejelasan Sasaran Anggaran pada Kantor Sekretariat Daerah Provinsi Sulawesi Selatan Irfan Abbas; Muh. Nasir Hamzah; Didiharyono Didiharyono
Jurnal Sains Manajemen Nitro Vol. 2 No. 2 (2023): Desember 2023
Publisher : Program Pasca Sarjana IBK Nitro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56858/jsmn.v2i2.161

Abstract

Penelitian ini bertujuan untuk menemukan model yang baru dengan mengelaborasi kejelasan sasaran anggaran dalam memediasi good governance dan kualitas pegawai terhadap kinerja pengelolaan keuangan daerah. Penelitian ini dilaksanakan di kantor Sekretariat Daerah Provinsi Sulawesi Selatan, berlangsung selama kurang lebih 2 (dua) bulan yakni bulan Juli 2023 sampai dengan Agustus 2023. Populasi penelitian ini adalah seluruh pegawai pengelola keuangan daerah Kantor Sekretariat Daerah Provinsi Sulawesi Selatan sebanyak 124 pegawai. Dengan menggunakan teknik sampling jenuh, sehingga sampel yang digunakan adalah seluruh populasi yakni 124 pegawai. Teknik pengumpulan data dilakukan melalui observasi, kuesioner dan dokumentasi, sedangkan analisis data menggunakan SEM-PLS. Hasil penelitian menunjukkan bahwa kinerja pengelolaan keuangan daerah dapat ditingkatkan oleh adanya good governance, kualitas pegawai dan kejelasan sasaran anggaran. Pengaruh langsung dalam penelitian ini yang menunjukkan kontribusi besar adalah good governance terhadap kejelasan sasaran anggaran, bahwa good governance mampu membantu menghindari kesalahpahaman atau ketidaksesuaian terhadap sasaran anggaran, sehingga tercipta pemahaman yang lebih jelas mengenai tujuan yang ingin dicapai. Temuan baru dalam penelitian ini adalah pengaruh keberadaan good governance dan kualitas pegawai dalam meningkatkan kejelasan sasaran anggaran mempunyai pengaruh tinggi dan pengaruh keberadaan kejelasan sasaran anggaran dalam meningkatkan kinerja pengelolaan keuangan daerah mempunyai pengaruh tinggi.
Pengaruh angin darat dan angin laut terhadap terjadinya hujan di Jakarta Giarno Arno; Achmad Fahruddin Rais; Didi Didiharyono; Nurtiti Sunusi; Ahmad Fadlan
Wahana Fisika Vol 8, No 1 (2023): June
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/wafi.v8i1.54145

Abstract

Identifikasi angin darat-laut sangat penting, sebab fenomena ini sudah sejak lama digunakan dalam aktivitas sehari-hari, terutama para nelayan. Daerah Jakarta dan sekitarnya yang berada di pesisir merupakan pusat perekonomian Indonesia selalu dibayang-bayangi banjir. Tujuan penelitian ini adalah mengidentifikasi pengaruh angin darat0laut terhadap peningkatan curah hujan dengan menggunakan waktu kejadian. Statistik sederhana menggunakan mean, median dan kuantile serta grafik windrose digunakan untuk menggambarkan pengaruh angin darat-laut terhadap curah hujan. Hasil penelitian menunjukkan pengaruh arah angin darat-laut sangat bervariasi terhadap lokasi. Pada daerah yang berada di tepi pantai seperti Tanjung Priok, transisi angin darat laut sangat jelas,namun demikian daerah Citeko yang jauh transisinya juga masih terlihat. Hanya pengaruh terhadap intensitas curah hujan tinggi di daerah yang jauh dari laut sangat berkurang. Berdasarkan grafik windrose angin laut teridentifikasi dari timur laut, sementara angin darat dari tenggara. Posisi laut terhadap lokasi menjadikan angin darat-laut sebagai arah angin dominan dapat berubah sebagaimana daerah Cengkareng. Sementara itu, lokasi pengamatan yang tidak ideal, menjadikan arah angin darat-laut kurang terlihat sebagaimana Stasiun Kemayoran yang dikelilingi gedung-gedung tinggi.
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.
Changes in Rainfall Intensity, Rising Air Temperature, Wind Speed, and Its Relationship with Land Use in Makassar City D., Didiharyono; Giarno, Giarno; Sapareng, Sukriming
JST (Jurnal Sains dan Teknologi) Vol. 11 No. 2 (2022)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (775.399 KB) | DOI: 10.23887/jstundiksha.v11i2.45604

Abstract

Makassar City is one of the big cities that is growing very rapidly in Indonesia which has a large coastal area. This city is very vulnerable to the impact of changes in climate variables such as rainfall, temperature and wind speed, especially when there are indications of massive land use changes. The aim of the research is to identify changes in the trend of high-intensity rainfall, changes in air temperature, wind speed, and their relationship to changes in land use in Makassar City which have an impact on climate change. Observation data at Maritime Meteorological Station of Paotere, Makassar for 30 years is used to detect changes in climate variables by using slope calculations on linear equations, line graphs, and boxplots. The results showed that the air temperature in Makassar has a lower increasing (0.06oC/year) than Indonesian region which is around 0.3 oC. The slope values at 07.00 WITA, 13.00 WITA, and 18.00 WITA representing temperatures in the morning, afternoon, and evening are 0.0387, 0.0476, and 0.0417. While the average slope of air temperature is 0.042. However, Rising of air temperature is followed by a decrease in the accumulation of annual rainfall to below 3000 mm/year. In addition, heavy rains that cause flooding, increasing the maximum wind speed also need to be observed because wind speed is one of the causes of hydrometeorological disasters that often occur.
Investment Risk Analysis On Bitcoin With Applied of VaR-APARCH Model Kasse, Irwan; Mariani, Andi; Utari, Serly; D., Didiharyono
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 5, No 1 (2021): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v5i1.3220

Abstract

Investment can be defined as an activity to postpone consumption at the present time with the aim to obtain maximum profits in the future. However, the greater the benefits, the greater the risk. For that we need a way to predict how much the risk will be borne. Modelling data that experiences heteroscedasticity and asymmetricity can use the Asymmetric Power Autoregressive Conditional Heteroscedasticity (APARCH) model. This research discusses the time series data risk analysis using the Value at Risk-Asymmetric Power Autoregressive Conditional Heteroscedasticity (VaR-APARCH) model using the daily closing price data of Bitcoin USD period January 1 2019 to 31 December 2019. The best APARCH model was chosen based on the value of Akaike's Information Criterion (AIC). From the analysis results obtained the best model, namely ARIMA (6,1,1) and APARCH (1,1) with the risk of loss in the initial investment of IDR 100,000,000 in the next day IDR 26,617,000. The results of this study can be used as additional information and apply knowledge about the risk of investing in Bitcoin with the VaR-APARCH model.