team number one · assignment no.1 · 05.08.2026

PlantMoji

// the idea

Plants that show how they feel.

An edutech kit that turns raw sensor data into a plant emotion, so beginners learn smart farming by reacting to something alive.

// candidates

Three ideas went into screening

#1 rain-triggered roof

24

LDR + DHT close the roof and sound a buzzer.

#2 smart farm kit

100

Sponges and sensors simulate a whole crop climate.

#3 aware crosswalk

20

Button or ultrasonic sensor guards pedestrians.

// screening

One idea scored far above the rest

Project	Social	Feasibility	Technical	Score
Rain-triggered Roof	2	4	3	24
Smart Farm Educational Kit	5	5	4	100
Motorbike-aware Crosswalk	5	2	2	20

01

What PlantMoji is

Purpose, method, and the feature that makes it stick.

// concept

An edutech kit with a gamified dashboard

Sponges and sensors mimic Jember crop environments, so learners set up growing conditions in minutes instead of waiting weeks.

A quest-based web interface turns sensor readings into XP, levels, and daily missions.

// feedback loop

Sensor data becomes a plant emotion

Hover a state to see how the kit reacts.

🙂

Happy

Light, humidity, and soil are all in range.

😐

Normal

One value drifts; the kit nudges the learner.

🥀

Sad

Conditions break; a quest asks for a fix.

// system architecture

Sensor to dashboard in one data pipeline

🌱Sensors

Soil · DHT11 · LDR

🎛️Arduino UNO

Reads and filters

📡Wemos + Node-RED

Routes the stream

🖥️Web app

Mood, XP, quests

02

How we build it

The IDDOV cycle, from problem to demo.

// method

Five phases, one deliverable each

01

Identify

Find the learning gap in plant monitoring.

02

Define

Lock hardware, software, and content specs.

03

Develop

Assemble and code the working prototype.

04

Optimize

Tune sensors and prevent malfunctions.

05

Verify

Review as a user, finalize the demo.

// iddov plan

Hours and cost per phase

Phase	Rate / hour	Hours	Labor cost
Identify	Rp 30,000	7 (done)	Rp 1,410,000
Define	Rp 50,000	4 est.	Rp 1,800,000
Develop	Rp 70,000	10 est.	Rp 6,300,000
Optimize	Rp 100,000	8 est.	Rp 7,200,000
Verify	Rp 150,000	3 est.	Rp 4,050,000

32 hours planned in total, Rp 20,760,000 of labor value.

// status

Where the project stands today

0h

Hours spent

Identify phase, done

0h

Hours left

Define to Verify

0M

Total labor (Rp)

All five phases

// commit log

Seven hours already on the board

JUL 31 · 6 people · 2h
Inspected Arduino modules, brainstormed topics with post-its.
AUG 02 · 7 people · 2h
Organized brainstorm results and narrowed the candidates.
AUG 05 · 7 people · 3h
Built the basic Arduino structure and finalized the topic.

03

Risks and the team

What could slow us down, and who carries what.

// risk

Two risks we already answered

time

Less than 12 days

We exclude the real plant-raising process and focus on condition setting, prioritising MVP features.

people

New ML and TL join

Progress is delivered live through Discord, with responsibilities assigned by expertise.

// team

Everyone knows their lane

PL

Holds daily focus to prevent mess-ups

KL

Settles the whole database quickly

TL

Heavy load, but shared across three TLs

ML

Owns the design side of the project

We teach the conditions a plant needs, not the waiting.

team number one · plantmoji

// next sprint

What the team does this week

01
Write sensor instructions
Light, humidity, and soil moisture, plus what each sensor does.
02
LCD shows plant feelings
Map sensor thresholds to Happy, Normal, and Sad states.
03
Build the Node-RED flow
Wire the Arduino IDE side into the web dashboard.
04
Close the Define phase
So Develop starts on schedule with locked specs.

// end of transmission

Thank you

PlantMoji · Team Number One · Assignment No. 1 · 2026