Article Per Year (5 Year)
p-Index From 2021 - 2026
1.363
P-Index
This Author published in this journals
All Journal International Journal of Community Service Learning JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Blend Sains Jurnal Teknik VISA: Journal of Vision and Ideas Emitor: Jurnal Teknik Elektro
Sumarahinsih, Andrijani
Unknown Affiliation
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences

Published : 6 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 6 Documents
Search

 1 
Pengenalan dan Pelatihan Robot Lego pada Siswa Sekolah Menegah Pertama Sebagai Implementasi Pembelajaran STEM di Sekolah Gumilang, Yandhika Surya Akbar; Rozaq, Abdul; Sonalitha, Elta; Rabi, Abd; Sumarahinsih, Andrijani; Krisdianto; Fahreza, Moch. Aditya Rizky
International Journal of Community Service Learning Vol. 7 No. 2 (2023): May 2023
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/ijcsl.v7i2.60811

Abstract

Pembelajaran STEM di Indonesia masih perlu perhatian. Pendidikan STEM dapat meningkatkan kongnitif, afektif dan psikomotorik siswa. Salah satu hal yang dapat meningkatkan pembelajaran STEM adalah melalui Pelatihan robot lego. Penelitian ini akan membahas implementasi pembelajaran STEM melalui pengenalan dan pelatihan robot lego. Pelatihan ini diadakan di SMP Bani Hasyim Kabupaten Malang. Pelatihan ini juga selaras dengan visi misi SMP Bani Hasyim yang menganut sistem pembelajaran inovatif dan kreatif. Metode yang digunakan yaitu metode deskriptif kualitatif melalui wawancara siswa-siswi dan guru sebelum dan sesudah pelatihan. Dilakukan FGD dengan guru dari SMP Bani Hasyim sebelum pelatihan berlangsung, agar dapat membuat media pembelajaran yang sesuai dengan levelnya. Peserta pelatihan berjumlah 22 siswa-siswi. Pada pelatihan terdapat 2 kegiatan yaitu pemamparan materi dan praktik langsung. Peserta dibagi 2 kelompok. Dalam merakit robot lego para peserta diberi sebuah misi yang harus dikerjakan. Para peserta berhasil menjalankan misi yang diberikan. Setelah pelatihan ini dilakukan pemahaman siswa terhadap teknologi dan robot meningkat. 80% peserta ingin mendalami robotika lebih lanjut. Dapat disimpulkan bahwa pelatihan ini menarik minat siswa-siswi SMP Bani hasyim, namun perlu adanya kegiatan serupa secara berkelanjutan.
Baby Room Temperature and Humidity Control System Using Fuzzy Logic Arifuddin, Rahman; Dirgantara, Wahyu; Sumarahinsih, Andrijani; Putri Intan Hafsari1, Rizky; Iqbal Maulana, Fairuz; Trisna Nugraha, Anggara; Arya Sobhita, Rama
Emitor: Jurnal Teknik Elektro Vol 24, No 3: November 2024
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v24i3.6403

Abstract

The health and comfort of infants are highly sensitive to room environmental factors, particularly temperature and humidity, which play a critical role in supporting their well-being. Managing these factors becomes complex due to constant fluctuations in ambient conditions, necessitating the use of advanced technology to ensure stability and adaptability. This study explores the application of fuzzy logic in designing a temperature and humidity control system for infant rooms, aiming to maintain an optimal environment for infant care. Fuzzy logic offers a robust approach for handling variability, enabling precise adjustments based on a set of predefined rules and inputs. The system operates by processing real-time input values of temperature and humidity and producing adaptive responses through control outputs, such as cooler, heater, and blower settings. These adjustments are determined by a series of if-then rules that interpret the input conditions to produce the necessary responses. Experimental testing and evaluation confirm that the fuzzy logic-based control system effectively maintains room temperature and humidity within the desired range. The results indicate that this approach can successfully sustain a stable and comfortable environment, underscoring its potential application in enhancing infant health and comfort through controlled indoor climate conditions.
Design of Filterization Monitoring System in Household Wastewater Treatment using IoT Based PID Method Ahing, Yayan Mutu; Sumarahinsih, Andrijani; Gumilang, Yandhika Surya Akbar
Blend Sains Jurnal Teknik Vol. 3 No. 2 (2024): Edisi Oktober
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/blendsains.v3i2.755

Abstract

This research aims to design and optimize the PID control system for FPV drones using Betaflight software. The main focus of this study is on tuning and adjusting PID parameters to achieve stability, responsiveness and optimal performance of the drone during extreme flight maneuvers. By utilizing Betaflight as the PID tuning platform, this research attempts to fine-tune the optimal values of proportional (P), integral (I), and derivative (D) to obtain precise and agile control responses. Through the optimization of the PID control system, it is expected that FPV drones can achieve high reliability and performance in tackling various flight challenges. The results of this research are expected to contribute to the development of advanced and effective FPV drones in executing complex flight maneuvers.
Prototype Sistem Monitoring Real-Time Transformator Distribusi Berbasis IoT untuk Predictive Maintenance dan Notifikasi Gangguan Djuma, Bartolomeus Rynaldi; Sari, Resi Dwi Jayanti Kartika; Sumarahinsih, Andrijani
VISA: Journal of Vision and Ideas Vol. 5 No. 2 (2025): Journal of Vision and Ideas (VISA)
Publisher : IAI Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Distribution transformers are important components in electrical systems that are susceptible to disturbances such as overload and overheating. To overcome the limitations of manual monitoring, this study developed a prototype of an Internet of Things (IoT)-based transformer monitoring system that is able to read voltage, current, temperature, and humidity in real-time, and provide automatic notification if there is a parameter deviation. The system is built using an ESP32 microcontroller connected to the ZMPT101B sensor for voltage, ACS712 for current, and DHT22 for temperature and humidity. Tests were carried out on a 220V/24V AC single-phase transformer with gradual load variations and different environmental scenarios. The test results showed that the ZMPT101B sensor had an average error of 0.06% against a multimeter, while the ACS712 showed an average error of 1.18% against a clamp meter. The DHT22 sensor recorded a total error of 4.81% for temperature and 5% for humidity compared to the HTC-1 measuring instrument. The system successfully sends notifications via the Blynk platform when the temperature exceeds 60°C or the current exceeds 4 A. With a fairly high level of accuracy and real-time monitoring capabilities, this system is considered suitable for use as a monitoring and predictive maintenance solution for small to medium-scale distribution transformers.
Kontrol Temperatur Tungku Berbasis Microcontroller pada Proses Destilasi Daun Syzygium Aromaticum dengan Metode Fuzzy Logic Fathoni, Moh. Alif; Dirgantara, Wahyu; Sumarahinsih, Andrijani
Blend Sains Jurnal Teknik Vol. 3 No. 1 (2024): Edisi Juli
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/blendsains.v3i1.599

Abstract

Daun cengkeh yang jatuh dapat digunakan sebagai minyak atsiri melalui proses penyulingan.selama ini yang sering kita jumpai proses penyulingan masih menggunakan cara manual.penelitian ini bertujuan untuk membuat inovasi baru yang akan mengontrol masuknya air secara otomatis dan temperatur tungku.komponen yang digunakan adalah sensor Thermocouple dan sensor LM35 sebagai pembaca suhu, Arduino Uno untuk mikrokontroler, Driver MOSFET ke Water Pump untuk mengalirkan air, dan Reley dan Servo untuk mengatur suhu tungku.
Hybrid Fuzzy-PID for Temperature and Water Quality Control in Freshwater Lobster Farming Arifuddin, Rahman; Setiawan, Aries Boedi; Sumarahinsih, Andrijani; Sonalitha, Elta; Kartika Sari, Resi Dwi Jayanti; Iman Mufti, Akbarsyah Nur
JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Vol. 10 No. 1 (2026): April
Publisher : Muhammadiyah University, Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jeeeu.v10i1.1742

Abstract

General Background: Freshwater lobster aquaculture requires stable temperature and water quality conditions to support optimal growth and survival. Specific Background: Conventional and semi-automatic aquaculture control systems often experience limitations in responding to dynamic environmental changes, particularly in maintaining stable temperature, pH, and dissolved oxygen (DO) conditions in freshwater lobster cultivation. Knowledge Gap: Existing aquaculture studies predominantly focus on sensor monitoring and data transmission, while limited research has developed adaptive automatic control systems integrating fuzzy logic and PID control for simultaneous temperature and water quality stabilization in freshwater lobster farming. Aims: This study aims to design, implement, and evaluate a hybrid fuzzy-PID control system for regulating temperature and water quality in freshwater lobster (Cherax quadricarinatus) cultivation media. Results: The system utilized temperature, pH, and DO sensors, a microcontroller-based processing unit, and actuators consisting of a heater, aerator, and circulation pump. At a temperature setpoint of 28°C, the hybrid fuzzy-PID achieved a rise time of 8.7 minutes, settling time of 14.2 minutes, overshoot of 0.36%, and steady-state error of 0.03°C, outperforming conventional PID and uncontrolled systems. The hybrid approach also produced lower MAE and RMSE values of 0.393 and 0.660, respectively. Water quality evaluation showed more stable pH and DO conditions, with pH reaching 7.39 and DO reaching 6.47 mg/L. Novelty: This study integrates adaptive fuzzy inference and PID parameter adjustment within a closed-loop aquaculture control framework for simultaneous temperature and water quality management. Implications: The proposed system supports adaptive aquaculture automation and stable freshwater lobster cultivation environments for modern aquaculture applications.
Co-Authors Abdul Rozaq Ahing, Yayan Mutu Anggara Trisna Nugraha Aries Boedi Setiawan Arifuddin, Rahman Arya Sobhita, Rama Djuma, Bartolomeus Rynaldi Elta Sonalitha Fahreza, Moch. Aditya Rizky Fathoni, Moh. Alif Iman Mufti, Akbarsyah Nur Iqbal Maulana, Fairuz Kartika Sari, Resi Dwi Jayanti Krisdianto Putri Intan Hafsari, Rizky Putri Intan Hafsari1, Rizky Rabi, Abd Rifki Hari Romadhon Sari, Resi Dwi Jayanti Kartika Wahyu Dirgantara Yandhika Surya Akbar Gumilang