Angella Natalia Ghea Puspita, M.T.

Angella Natalia Ghea Puspita, M.T.

Scopus: 57214693240 ORCID: 0009-0006-0493-067X

Publikasi: 10 Scopus

Research output activity per year

Latest Publication

Loading chart...

10

Article

14

Citation

14

Cited Documents

3

H-Index

1 - 10 dari 10 hasil

Sustainability Assessment of EV Battery Waste Management from an Environmental, Economic, and Social Perspective

Penulis: Puspita, Angella Natalia Ghea; Surjandari, Isti; Ardi, Romadhani

Evaluation of a recycling process for discarded integrated circuits using physical separation methods

Penulis: Puspita, Angella Natalia Ghea; Triastomo, Rahmadhani; Andrameda, Yurian Ariandi; Triaswinanti, Rininta; Kurniawan, Kurniawan

Forecasting Methods for the Electric Vehicle Ownership: A Literature Review

Penulis: Kemala, Bunga Kharissa Laras; Surjandari, Isti; Puspita, Angella Natalia Ghea

A Scientometric Analysis of electric vehicle-based text mining

Penulis: Angella Natalia Ghea Puspita, Isti Surjandari, Bunga Kharissa Laras Kemala

Topic-Based Segmentation in Email Marketing

Penulis: Surjandari, Isti; Gunawijaya, Harvey P.; Puspita, Angella Natalia Ghea

Optimization saprolite ore in tube furnace with support vector machine (SVM)

Penulis: Puspita, Angella Natalia Ghea; Kawigraha, Adji; Permatasari, Nur Vita; Respatid, Santi Ari

Socio-economic baseline, economic feasibility study and processing activities ASGM in Obi Island, South Halmahera District, North Maluku Province, Indonesia

Penulis: Puspita, Angella Natalia Ghea; Sudiyanto, Yanto; Haryanto, Irwan; Madra, Quinta Nadya

Performance of Additive in Metal Separation from Nickel Ore

Penulis: Ghea Puspita, Angella Natalia; Kawigraha, Adji; Permatasari, Nur Vita; Respati, Santi Ari

Adaptive Neuro-Fuzzy Inference System (ANFIS) Method to Optimize the Reduction Process of Saprolite Ore Composites in Tube Furnace

Penulis: Surjandari, Isti; Puspita, Angella Natalia Ghea; Zulkarnain, Zulkarnain; Kawigraha, Adji; Permatasari, Nur Vita

Optimization of saprolite ore composites reduction process using artificial neural network (ANN)

Penulis: Angella Natalia Ghea Puspita, Isti Surjandari, Adji Kawigraha, Nur Vita Permatasari