Article Per Year (5 Year)
p-Index From 2021 - 2026
1.556
P-Index
This Author published in this journals
All Journal AUSTENIT Jurnal Wawasan Ilmiah Jurnal Terapan Ilmu Keolahragaan JURNAL INTEGRASI Jurnal Elementer (Elektro dan Mesin Terapan) Jurnal Elkolind : Jurnal Elektronika dan Otomasi Industri JTTM: Jurnal Terapan Teknik Mesin ARMATUR : Artikel Teknik Mesin dan Manufaktur JITER-PM (Jurnal Inovasi Terapan - Pengabdian Masyarakat)
Jajang Jaenudin
Unknown Affiliation
Aerospace Engineering Automotive Engineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Public Health Social Sciences Other

Published : 13 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 13 Documents
Search

 1   2 
Rancang Bangun Mesin Penyerut Bahan Baku Anyaman Rotan Dengan Mekanisme Double Roll Edilla, Edilla; Farhan, Muhammad; Rahmawaty, Made; Jaenudin, Jajang; Ma'a, Mustaza
JURNAL INTEGRASI Vol. 16 No. 2 (2024): Jurnal Integrasi - Oktober 2024
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v16i2.8224

Abstract

Rattan Is one of the plants that grow in Indonesia, One of the areas that includes many rattan producers is Riau. Rattan is a plant that is one of the raw materials in the handicraft and furniture industry, therefore, to take advantage of the many rattan plants can be used as a furniture product such as tables, chairs and other handicrafts. The machine is designed using a driving force using a 1 phase electric motor using a double roll pulling system made of rubber and using a blade with a diameter of 5 mm, and this machine also has a safety on the control system so that the AC motor is not easily burned when the current is excessive. This machine can produce 76 rattan sticks per hour with a size 5 mm diameter and 300 cm lenght so that it can increase rattan production more effectively and efficiently. This rattan shaving machine is capable of shaving 300 cm of raw rattan with a diameter of 10-13 mm and the consistency of the thickness produced is 5 mm in diameter with an error rate of 0.22%.
Rancang Bangun Mesin Pengiris Tempe Otomatis Dengan Pengaturan Ketebalan Hendriko, Hendriko; Hura, Menti Diana; Jaenudin, Jajang; Rahmawaty, Made; Khamdi, Nur
AUSTENIT Vol. 14 No. 1 (2022): AUSTENIT: April 2022
Publisher : Politeknik Negeri Sriwijaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/austenit.v14i1.4521

Abstract

Tempe is a traditional Indonesian food that can be processed into various derivative food products, including chips and mendoan. Many MSMEs have developed tempe chip products, but the tempe slicing process is still done manually. The manual process has the disadvantage of taking a long time, requiring operators, and inconsistent results. In this study, an automatic tempe slicing machine was developed. The developed machine uses a control system so that it can adjust the thickness of the slices by manipulating the rotational speed of the driving motor. The mechanical design of the tempe pushing system and hopper causes the process to take place continuously. Tests to determine the performance of the machine in producing tempe slices, and to determine the capacity of the machine have been carried out. The results show that the machine can slice tempe well starting from a thickness of 2 mm. The test results also show that the deviation of the thickness of the slices is not significant, which is between -2.2% - 2.5%. Machine capacity depends on the thickness of the slices. For 3 mm slices, the machine capacity is 22 29 kg/hour. Meanwhile, the machine capacity for slice thickness of 5 mm and 7 mm is 31.85 kg/hour and 38.96 kg/hour, subsequently.
Design and fabrication of an automatic tofu factory liquid waste treatment system for hydroponic nutrients Jaenudin, Jajang; Sihite, John David; Nurkhamdi
JTTM : Jurnal Terapan Teknik Mesin Vol 7 No 1 (2026): JTTM: Jurnal Terapan Teknik Mesin
Publisher : Teknik Mesin - Universitas Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/jttm.v7i1.2169

Abstract

Tofu, a popular traditional food in Indonesia, produces liquid waste from its production process. This waste, after reducing Total Suspended Solids (TSS), Biochemical Oxygen Demand (BOD), and Chemical Oxygen Demand (COD), can be used as a hydroponic nutrient solution. However, the waste has a relatively high acidity level (low pH), whereas the optimal pH range for hydroponic nutrients is 5.5–6.8. Manual pH control is prone to delays and inaccuracies, which can disrupt plant growth. Therefore, this study designed and built an automated microcontroller-based system to condition the pH of tofu wastewater. The system integrates a pH sensor, solenoid valve, stirrer motor, distribution pump, and an Arduino UNO controller. Testing results show that the system can automatically control pH with a stable neutralization rate, reaching the target pH range within 8–15 minutes depending on the initial waste volume. The pH sensor exhibited an average accuracy of ±0.1 pH units. The solenoid valve activates only when pH ≤ 5.5, while the distribution pump operates within the pH range of 5.5–6.8 and temperature below 30°C. This system has the potential to be applied on a small industrial scale as an appropriate technology for converting tofu wastewater into hydroponic nutrients. This approach enhances process efficiency, reduces manual intervention, and supports circular economy principles by valorizing organic waste.
Co-Authors ., Tianur Agus Rusdiana,, Agus Dede Kurniadi Edilla edilla, edilla Erwan Yani Fajar Rahman Hendriko, Hendriko Hura, Menti Diana Khamdi, Nur M. Bayu Anggoro Nurcahyo Ma'a, Mustaza Made Rahmawaty, Made Made, Made Rahmawaty Madona, Putri Muhammad Farhan Nurkhamdi Nurlan Kusmaedi Panjaitan, Jodi Palermo Rivana, Rivana Risqi Roeri Fajri Firdaus Sihite, John David Tianur Vidie Mochammad Rivaldy