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OTOTYPE PENDETEKSI SERTAFILTERASAPROKOKMENGGUNAKANARANG TEMPURUNGKELAPAPADASMOKINGAREABERBASIS INTERNETOFTHINGS (IOT Aditiyo, Andre Yazid; Muthalib, Muchlis Abdul
Jurnal Energi Elektrik Vol. 14 No. 1 (2025): Jurnal Energi Elektrik
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jee.v14i1.20994

Abstract

Saat ini perokok aktif di indonesia semakin meningkat setiap hari nya, dan juga semakin pesatnya pertumbuhan penduduk serta berkembangnya pabrik- pabrik rokok baru maupun yang sudah berdiri sejak lama di berbagai daerah, memungkinkan perokok aktif juga semakin meningkat. Di berbagai tempatnatau fasilitas umum saja perokok aktif sangat banyak dijumpai bila dibandingkan dengan perokok pasif. Hal ini cukup mengkhawatirkan bagi  kesehatan manusia karena rokok mengandung berbagai  macam zat berbahaya yang dapat mengganggu kesehatan bagi perokok maupun orang yang dekat dengan si perokok aktif tersebut, Kebiasan merokok berhubungan dengan 25 jenis penyakit yang dapat menyerang manusia, seperti kanker paru, bronkitis kronik, emfisema dan berbagai penyakit paru lainnya. Asap rokok dalam ruangan juga dapat meningkatkan kadar karbon monoksida (CO) yang dapat mengakibatkan menurunnya fungsi paru-paru. Asap rokok ini dapat terhisap oleh manusia melalui proses pernapasan dan masuk ke dalam aliran darah termasuk aliran darah jantung. Hal ini dapat menyebabkan asap rokok terikat dengan hemoglobin darah yakni 200 - 250 kali lebih kuat dibandingkan dengan oksigen. Beberapa upaya yang bertujuan  untuk menciptakan lingkungan yang baik bagi kesehatan kondusif bagi masyarakat seperti kawasan bebas asap rokok nampaknya masih sulit terealisasikan. Jumlah perokok aktif juga semakin meningkat seiring pertumbuhan penduduk dan berkembangnya pabrik rokok, terutama di Indonesia, di mana perokok aktif menjadi mayoritas dibandingkan perokok pasif. Asap rokok ini dapat terhisap oleh manusia melalui proses pernapasan dan masuk ke dalam aliran darah termasuk aliran darah jantung. Hal ini dapat menyebabkan asap rokok terikat dengan hemoglobin darah yakni 200 - 250 kali lebih kuat dibandingkan dengan oksigen. Beberapa upaya yang bertujuan  untuk menciptakan lingkungan yang baik bagi kesehatan kondusif bagi masyarakat seperti kawasan bebas asap rokok nampaknya masih sulit terealisasikan. Jumlah perokok aktif juga semakin meningkat seiring pertumbuhan penduduk dan berkembangnya pabrik rokok, terutama di Indonesia, di mana perokok aktif menjadi mayoritas dibandingkan perokok pasif. Hal ini memicu kekhawatiran terhadap kesehatan akibat kandungan zat berbahaya dalam rokok. Untuk mengurangi dampak asap rokok di ruangan, dikembangkan alat berbasis Internet of Things (IoT) menggunakan filter karbon aktif tempurung kelapa dan microcontroller NodeMCU ESP32. Sistem ini mendeteksi asap rokok dengan sensor MQ-2, yang memicu kipas otomatis untuk menyerap udara. Asap yang terhisap dinetralisir oleh filter karbon aktif, dan data prosesnya dikirim ke server Thingspeak untuk pemantauan real-time. Jika kadar asap melebihi 2 ppm, kipas menyala otomatis, dan kadar asap ditampilkan pada LCD serta Web Thingspeak. Alat ini efektif menurunkan kadar asap dari 22,53 ppm menjadi 1,33 ppm dalam 1 menit 40 detik.
Rancang Bangun Manipulator Lengan Robot 4 Derajat Kebebasan untuk Mengangkat Telur Ayam Broiler Menggunakan Algoritma Levenberg-Marquardt Aman, Khairul; Asran, Asran; Fariadi, Dedi; Muthalib, Muchlis Abdul; Yusdartono, Habib Muharry
Journal of Applied Electrical Engineering Vol. 8 No. 2 (2024): JAEE, December 2024
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v8i2.8738

Abstract

The robotic arm, wirelessly controlled via Bluetooth and an Android device, allows users to manipulate objects without direct contact. The Force Sensitive Resistor (FSR) sensor is employed to measure the gripping force of the gripper, while the Levenberg-Marquardt Algorithm ensures precise movement control. For delicate objects such as broiler chicken eggs, the gripper is designed to stop automatically upon reaching a threshold value of 552, which was obtained from an average of 11 manual data collections. When the FSR sensor detects a force exceeding this threshold, the algorithm halts the gripper to prevent damage to the object. From 10 experimental trials, the system demonstrated a 100% success rate, with the gripper stopping precisely without causing any damage to the eggs. The variation in pressure across different objects is believed to be due to differences in eggshell thickness or continuous sensor fluctuations during testing.
Analysis of the Effect of Loading on the Transformers Usage Time Ritonga, Adi Syahputra; Muthalib, Muchlis Abdul; Daud, Muhammad; Lubis, Hamdi Akmal; Pokhrel, Biswas Babu; Phuyal, Sudip; Gohatre, Umakant B.
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 1 No. 2 (2021): September 2021
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v1i2.5237

Abstract

The reliability and stability of the system in the operation of the electric power system is very important, in order to provide comfort in service to consumers. The transformer is a very important component in the electric power system, because it is used as a voltage adjuster for the load being served. This study discusses the effect of loading and temperature on the life shrinkage of 36/60 MVA power transformers in block 3 and block 4 carried out at PT. PJB UBJ O&M PLTMG Arun Lhokseumawe, Aceh. From the calculation results after 4 years the transformer operates, if the transformer is given a 100% load, the transformer will experience an age difference of 2.52 p.u/day so that it has a remaining life for of 10 years. As for the transformer that is given a load of 90%, the transformer will experience an age difference of 1.44 p.u/day so that it has a remaining life to perform operations for another 18 years. Then for a transformer that is given a load of 80%, the transformer will experience an age difference of 0.67 p.u/day so that it will have a remaining life to carry out the operation again for another 38 years. From the above calculation, the origin of the temperature obtained for the ONAN type of cooler in block 3 is 0.71 p.u/day and in block 4 it is 0.70 p.u/day. While the ONAF type of cooler in block 3 is 0.004 p.u/day and in block 4 it is 0.005 p.u/day. This is in accordance with the regulation SPLN50/1982 regarding transformer life shrinkage.
Implemention of system landslide disaster mitigation based internet of things Tua, Rendi Sahila; Muthalib, Muchlis Abdul
Journal Geuthee of Engineering and Energy Vol 3, No 1 (2024): Journal Geuthee of Engineering and Energy
Publisher : Geuthèë Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52626/joge.v3i1.35

Abstract

Landslide mitigation tools are specifically made to detect angular slopes in the ground. This tool is a series of simple tools that utilizes an ESP32 microcontroller and real-time monitoring media via smartphone. This landslide mitigation tool consists of a tool frame which is generally made of iron, a mpu6050 sensor and a controller box. The main power source for the tool comes from a battery with a capacity of 12 V 7A. This tool is equipped with other components such as LCD, MPU6050 sensor, relay and siren. The designed tool will be placed in areas where landslides often occur. The MPU6050 sensor plays a role in detecting slopes on the ground. When the sensor detects a predetermined tilt level, the sensor will send data to the microcontroller. The microcontroller will process the data and send notifications to the smartphone via the blynk application. Along with this, data will also be displayed on the LCD and the sirens will be active to provide an indication that a landslide will occur. Based on testing, the average notification display delay on the LCD is very small, namely 0.26s, while the average notification delay on smartphones via the blynk application is 0.30s. The percentage measurement error by the MPU6050 sensor is 1.2%.