System Online

Local Time

03.29.18

IPDR Intelligence Analytics

Comprehensive CDR & IPDR Intelligence Analysis Platform

PRIORITY ALPHACLASSIFIED
Pattern Analysis:COMPLETE
ML Model:v3.2.1
Last Sync:2 min ago
Active Target Surveillance

Target MSISDN

+62 812 1313 6279

Collection Period

01 Nov - 31 Dec 2025

Last Known Position

Mampang Prapatan, Jaksel

Total Calls

611

324 out / 287 in

Total SMS

412

6.8 messages/day average

Data Usage

51.4 GB

842 MB/day average

Locations

4

Unique frequent locations

GPS Location History

Nov-Dec 2025 movement tracking

Location Types

Home
Office
Masjid
Margo City
Plaza Senayan
Pondok Indah
Grand Indonesia
Kemang

Total: 208 records

Avg/Day

9

Unique Loc.

12

Days Tracked

23

Identity & Population Data

Verified citizen information

KTP Photo

Identity Document

NIK

3174 **** **** 0003

NKK

3174 **** **** 0012

Full Name

M***** R**** P******

Place, Date of Birth

Jakarta, ** *** 19**

Address (KTP)

Jl. ******* No. **, RT ***/RW ***, Mampang Prapatan, Jakarta Selatan 12***

Gender

Male

Marital Status

Married

Religion

Islam

Occupation

Private Employee

OSINT Identity Match

89%

Matched with LinkedIn, Instagram profiles

CDR Analysis

Call Detail Records - Voice & SMS analysis (Nov-Dec 2025)

Outgoing

324

5.3 calls/day

Incoming

287

4.7 calls/day

Total SMS

412

6.8 sms/day

Avg Duration

5m 48s

Total: 58.2 hrs

IPDR Analysis

Internet Protocol Detail Records (Nov-Dec 2025)

Download

42.8 GB

702 MB/day avg

Upload

8.6 GB

141 MB/day avg

Sessions

5,847

96 sessions/day

Unique IPs

487

Dest. endpoints

Data Traffic (MB/Day) - Nov-Dec 2025

Communication + Position Correlation

Cross-referencing CDR/IPDR with location data

Rumah (Mampang)

85 calls | 18:00-22:00

Kantor (SCBD)

125 calls | 10:00-16:00

Masjid Blok M

28 calls | Fri & Weekend

Margo City

42 calls | Weekend

Plaza Senayan

18 calls | Weekday lunch

Pondok Indah

22 calls | Occasional

WhatsApp Activity

Messaging and call patterns

WhatsApp Contact Network

Target
Contact
Group

Most Active Contacts

+62 815 **** 2847

1842 msgs

+62 821 **** 5634

1245 msgs

Family Group

956 msgs

Office Team

824 msgs

+62 878 **** 9123

687 msgs

Peak Activity Hours

19:00 - 22:00

Evening communication pattern

Internet Usage Statistics

Browsing patterns and data consumption

Daily Data Usage (MB) - Dec 2025

Content Category

Top Applications (Nov-Dec 2025)

1

Instagram

8.5 GB

2

YouTube

6.8 GB

3

TikTok

5.2 GB

4

WhatsApp

2.8 GB

5

Chrome

2.4 GB

6

Tokopedia

1.8 GB

7

Shopee

1.5 GB

8

Others

4.2 GB

Social Media Activity

Platform engagement and digital footprint

Platform Activity Comparison

Digital Persona Insights

Most Active Platform

Instagram

Avg 3.2 hours daily, 45 posts/month

Peak Activity Time

20:00 - 23:00

Evening social media engagement

Content Interests

Technology, Travel, Food, Photography

Engagement Style

Active commenter, frequent story viewer

AI-Powered Predictions

Location and behavior forecasting

Predicted Key Locations

Predicted Home

Mampang Prapatan, Jakarta Selatan

Night activity pattern 20:00-06:00

94%

Predicted Office

SCBD, Setiabudi, Jakarta Selatan

Weekday pattern 08:00-18:00

91%

Frequent Worship Location

Masjid Nurul Iman, Blok M Square

Friday & Weekend pattern

87%

Weekend Leisure

Margo City Mall, Depok

Saturday afternoon pattern

78%

Future Activity Prediction

Tomorrow (Jan 1, 2026)

High

Likely home-based (New Year holiday)

Possible family gathering

Jan 2, 2026 (Thursday)

High

Morning: Office (SCBD)

Evening: Return home (Mampang)

Jan 3, 2026 (Friday)

High

11:30-13:00: Masjid Nurul Iman (Jumatan)

Afternoon: Return to office or home

Jan 4, 2026 (Saturday)

Medium

Likely weekend routine

Margo City Mall visit predicted (65%)

AI Persona Profiling

Behavioral analysis and personality insights

Behavioral Persona Map

Personality Profile

Social Behavior

Moderately Extroverted - Active social media, regular diverse contacts

Activity Pattern

Night Owl - Peak activity 19:00-23:00

Interest Areas

Technology, Social Media, Entertainment, Urban Lifestyle

Routine Behavior

Structured weekday routine, consistent home-office pattern

AI-Generated Summary

Based on comprehensive data analysis, the target exhibits characteristics of a tech-savvy urban professional with strong social connections. Communication patterns indicate an extroverted personality with regular engagement across multiple platforms. The subject maintains a structured daily routine with consistent home-office movement patterns in the Bekasi area (Kalibaru - Harapan Mulya corridor), suggesting stable employment. Evening activity peaks (19:00-23:00) classify the individual as a night owl with active social media engagement. Internet usage reveals interests in technology, entertainment, and social networking.