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ANALISIS POTENSI ANAK USIA DINI DALAM IDENTIFIKASI BIDANG MINAT DENGAN METODE SAW Suryadijaya, Dharyana; Fatimah, Firi; Sebayang, Ayu Nuriana; Chandra, David
TRANSFORMASI Vol 21, No 1 (2025): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/jt.v21i1.420

Abstract

Penelitian ini bertujuan untuk menganalisis potensi anak usia dini dalam mengidentifikasi bidang minat menggunakan metode Simple Additive Weighting (SAW). Anak usia 4-5 tahun dipilih sebagai objek penelitian karena berada dalam tahap eksplorasi, di mana mereka mulai menunjukkan minat pada berbagai aktivitas. Pendekatan kuantitatif digunakan untuk mengevaluasi multikriteria yang mencakup seni, olahraga, kreativitas, kemampuan sosial, kemampuan kognitif, dan teknologi. Data diperoleh melalui observasi dan kuesioner yang melibatkan orang tua dan guru untuk memahami perilaku anak secara objektif. Metode SAW diterapkan dalam empat langkah utama: penentuan bobot kriteria, normalisasi data, perhitungan skor akhir, dan analisis preferensi. Hasil penelitian menunjukkan bahwa setiap anak memiliki kecenderungan unik terhadap bidang tertentu, seperti seni dan kreativitas, olahraga dan sosial, atau teknologi. Penemuan ini memberikan wawasan bagi orang tua dan pendidik untuk mengarahkan anak secara tepat sesuai dengan bakat dan minat mereka. Kesimpulannya, metode SAW adalah alat yang efektif untuk mendukung pengembangan potensi anak usia dini dengan pendekatan berbasis data. Penelitian ini juga merekomendasikan penggunaan metode serupa untuk mengevaluasi minat anak di kelompok usia lainnya.
Digital Economic Transformation and its Implications for Monetary Economic Policy in Indonesia Chandra, David; Nasution, Lia Nazliana
Jurnal Akuntansi, Manajemen dan Bisnis Digital Vol 5 No 3 (2026): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jambd.v5i3.11295

Abstract

This study aims to analyze the effect of digital economic transformation on inflation in Indonesia. The indicators of digital economic transformation examined in this study include internet penetration, digital transactions/e-commerce, the use of digital financial services, national digital economic value, and digital financial infrastructure. This research employs a quantitative approach with an associative research design. The data used are secondary time-series data covering the period 2019–2024, obtained from the Central Bureau of Statistics (BPS), Bank Indonesia, the Financial Services Authority (OJK), the Ministry of Communication and Information Technology, as well as reports from the World Bank and Google–Temasek–Bain. The analytical method applied is multiple linear regression. The results show that, partially, internet penetration has a negative and significant effect on inflation, indicating that increased internet access enhances market efficiency and contributes to lower inflation. In contrast, digital transactions/e-commerce have a positive and significant effect on inflation, reflecting increased consumer demand through digital platforms. Meanwhile, the use of digital financial services, national digital economic value, and digital financial infrastructure do not have a significant effect on inflation. Simultaneously, the variables of digital economic transformation do not significantly affect inflation. The adjusted R-square value of 0.519 indicates that the model explains 51.9 percent of inflation variation, while the remaining variation is influenced by other macroeconomic factors.
Changes in Total Phenolic Content Due to Changes in Storage Temperature, Crown Pruning, and Pineapple Fruit Coating Chandra, David; Widodo, Soesiladi Esti; Kamal, Muhammad; Waluyo, Sri; Zulferiyenni, Zulferiyenni; Yosilia, Rani
ORGANISMS: JOURNAL OF BIOSCIENCES Vol. 6 No. 1 (2026): Organisms: Journal of Biosciences
Publisher : Pusat HKI, Paten, dan Publikasi Ilmiah Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/pgm3nt91

Abstract

Phenolic compounds are substrates for the internal browning (IB) reaction in pineapple fruit, and their accumulation increases at high temperatures. However, the effect of temperature changes after prolonged cold storage on total phenolic content (TPC) remains unclear. This study evaluated the effects of storage temperature, crown pruning, and fruit coating on TPC and its correlations with IB incidence and severity, and vitamin C. GP3 and MD2 pineapple clones were arranged in a three-factor randomized block design with storage temperature (7 and 7+16 °C), crown treatment (intact crown and crown pruning), and fruit coating (50 mg L-1 ABA, 1% chitosan, ABA + chitosan, and H2O). The results showed that changing the storage temperature to room temperature for 2 days and pruning the crown at day 30 increased TPC and fruit color darkness. The interaction of changes in storage temperature and crown pruning was the treatment that produced the highest TPC. The application of fruit coating had no significant effect on TPC. The incidence and severity of IB were not affected by TPC, but were negatively correlated to the vitamin C content in pineapple. It is concluded that the presence of high enough vitamin C can suppress IB, even though the TPC content is quite high in pineapple.