Vol. 2 No. 1 (2024): January

This issue consists of research articles written by 18 researchers — eight of whom are female — from six institutions: Universitas Dr. Soetomo, Politeknik Negeri Malang, Universitas Trunojoyo, Universitas Tanri Abeng, Universitas Logistik dan Bisnis Internasional, and VIT-AP University — representing two countries, India and Indonesia.

Published: 2024-02-22

Research Article

Agile Implementation for Inventory (Case study: Business Unit of Private University)

Cempaka Ananggadipa Swastyastu, Ratna Nur Tiara Shanty, Rika Puspita Sari, Anggit Wikanningrum

1-14
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Supervised Learning Methods Comparison for Android Malware Detection Based on System Calls Referring to ARM (32-bit/EABI) Table

Rinanza Zulmy Alhamri, Toga Aldila Cinderatama, Kunti Eliyen, Abidatul Izzah

15-24
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Identifying Dominant Actors of Ferdy Sambo's Case Network on Social Media X/Twitter Using Social Network Analysis for Public Relations Strategy

Novi Prastiti, Budi Dwi Satoto, Moch Rizal Efendi

25-39
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Classification Techniques in Finding Malignant Breast Cancer Detection

Adithya Kusuma Whardana, Abdul Latief Mufti, Hendar Hermawan, Umar Alfaruq Abdul Aziz

40-50
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Efficiency in Cloud Computing through Serverless and Green Computing based on Microarchitecture

Fahira Fahira, Rolly Maulana Awangga, Sundaram Gopikrishnan

51-57
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ISSN
ISSN (Print)	: 2987-3878
ISSN (Online)	: 2987-386X

Female Authors:	39%
Acceptance rate:	39%
Desk Reject Rate:	27%
After Review Reject Rate:	30%
Submission to 1st decision:	22 days
Submission to acceptance:	75 days
Acceptance to publication:	46 days
Note: The time here is an average.

Vol. 2 No. 1 (2024): January

Research Article

Agile Implementation for Inventory (Case study: Business Unit of Private University)

Supervised Learning Methods Comparison for Android Malware Detection Based on System Calls Referring to ARM (32-bit/EABI) Table

Identifying Dominant Actors of Ferdy Sambo's Case Network on Social Media X/Twitter Using Social Network Analysis for Public Relations Strategy

Classification Techniques in Finding Malignant Breast Cancer Detection

Efficiency in Cloud Computing through Serverless and Green Computing based on Microarchitecture

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