Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Jurnal Rekayasa Mesin Journal of Economic, Business and Engineering (JEBE) Borobudur Engineering Review
Farika Tono Putri
Unknown Affiliation
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Mechanical Engineering

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Front Matter Jurnal Rekayasa Mesin Vol. 12 No. 2 Agustus 2017 Farika Tono Putri
Jurnal Rekayasa Mesin Vol 12, No 2 (2017): Volume 12, Nomor 2, Agustus 2017
Publisher : Jurusan Teknik Mesin - Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (788.149 KB) | DOI: 10.32497/jrm.v12i2.1622

Abstract

Front Matter Jurnal Rekayasa Mesin Vol. 12 No. 1 April 2017 Farika Tono Putri
Jurnal Rekayasa Mesin Vol 12, No 1 (2017): Volume 12, Nomor 1, April 2017
Publisher : Jurusan Teknik Mesin - Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (580.992 KB) | DOI: 10.32497/jrm.v12i1.1623

Abstract

Desain Opacity Meter dengan Image Processing Berdasarkan Risk Based Measurement Argi Ananda Wardana; Diky Eryanto; Farika Tono Putri; Ragil Tri Indrawati; Saifudin Saifudin; Suroto Munahar
Borobudur Engineering Review Vol 2 No 1 (2022): Industrial Engineering and Emission Control
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/benr.6936

Abstract

Gas buang mesin diesel merupakan salah satu penyebab terjadinya pemanasan global. Kandungan gas buang ini diantarnya opacity yang berasal dari polutan warna hitam. Unsur karbon dari pembakaran mesin diesel yang ada dalam opacity sangat berbahaya bagi lingkungan. Untuk itu, opacity hasil pembakaran mesin diesel perlu dikendalikan. Metode pengendalian ini diantaranya dengan melakukan pengukuran gas buang menggunakan opacity meter test bench. Harga sangat mahal, tidak praktis dan memerlukan tempat khusus merupakan kelemahan dari opacity meter test bench. Oleh karena itu, Penelitian ini mengusulkan pengembangan opacity meter berdasarkan digital image processing. Kelebihan alat yang dikembangkan memiliki harga cukup terjangkau, praktis dan proses pengolahan dapat dilakukan secara online. Alat ini bekerja berdasarkan perbedaan warna pada gas buang. Kamera menangkap warna gas buang disimpan dalam file jpg. File jpg selanjutnya dikonvert dalam data digital RGB (Red Green Blue). Selain merubah data digital, penelitian ini merancang program yang dapat bekerja dalam komputer. Opacity meter test bench dapat untuk memvalidasi program yang dirancang. Alat yang dikembangkan diuji pada kendaraan micro bus dan pick up. Hasil uji opacity pada kendaraan micro bus memiliki opacity sebesar 19,9% dan nilai RGB (217, 224, 246). Pada saat yang sama, Uji opacity pada kendaraan pick up menghasilkan opacity 20,9% dan nilai RGB (193, 214, 215). Validasi dengan opacity meter test bench terbaca kurang dari 5%. Untuk itu, Desain opacity meter dengan image processing yang telah dibuat sudah dapat beroperasi dan dapat dikembangkan pada penelitian selanjutnya.
STRUCTURAL OPTIMIZATION OF AGRO-INDUSTRIAL HAMMER MILL BLADES BASED ON FINITE ELEMENT SIMULATION AND EXPERIMENTAL VALIDATION Indrawati, Ragil; Farika Tono Putri; Wahyu Isti Nugroho; Eni Safriana; Rizkha Ajeng Rochmatika; Haffiyan Faza Rizaldy; Ilham Syaifullah; Mohammad Afiq Haidar; Muhammad Haikal Firmansyah; Aden Suhaedi; Ananda Ihza Indrawan; Arya Ramadhan C. S.; Reza Nur Irsandi
Journal of Economic, Business and Engineering (JEBE) Vol. 7 No. 2 (2026): April
Publisher : Universitas Sains Al Qur'an

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32500/jebe.v7i2.10981

Abstract

Hammer mills are widely used for grinding agroindustrial materials. However, suboptimal blade geometry and sieve selection often lead to excessive stress concentration, premature wear, and uneven particle size distribution. This study aims to optimize hammer mill blade design using the Finite Element Method (FEM) and to validate the best-performing design through experimental tests with sieve diameters of 3 mm, 4 mm, and 5 mm. Three blade designs were numerically analyzed at a rotor speed of 2700 rpm under a cutting force of 31,392 N, evaluating von Mises stress, displacement, strain, and factor of safety. Simulation results indicated that Design 1 exhibited the lowest stress, displacement, and strain, along with the highest factor of safety, demonstrating optimal structural stability and fatigue resistance. Experimental validation revealed that a 4 mm sieve provided the best balance between throughput, energy efficiency, and minimal material loss. The developed hammer mill operated stably with a capacity of 21 kg/h and reliable mechanical performance. The integration of FEM-based optimization and experimental validation offers a robust scientific framework for developing low-cost, high-performance agroindustrial grinding systems, while supporting sustainable production through reduced energy consumption and material waste, in alignment with SDG 2 (Zero Hunger) and SDG 12 (Responsible Consumption and Production). Future research may explore rotor geometry optimization for various feedstocks and the implementation of adaptive speed control to further enhance energy efficiency.
Co-Authors Aden Suhaedi Ananda Ihza Indrawan Argi Ananda Wardana Arya Ramadhan C. S. Diky Eryanto Haffiyan Faza Rizaldy Ilham Syaifullah Indrawati, Ragil Mohammad Afiq Haidar Muhammad Haikal Firmansyah Ragil Tri Indrawati Reza Nur Irsandi Rizkha Ajeng Rochmatika Safriana, Eni Saifudin Saifudin Suroto Munahar Wahyu Isti Nugroho