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All Journal Jurnal Rekayasa Mesin Dental Journal (Majalah Kedokteran Gigi) Emerging Science Journal
Syahrom, Ardiyansyah
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Dentistry Environmental Science Mechanical Engineering

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Simulasi Prediksi Tekanan Kontak pada Permukaan Acetabular Cup dengan Aplikasi Permukaan Bertekstur pada Total Hip Arthroplasty Ammarullah, Muhammad Imam; Saad, Amir Putra Md; Syahrom, Ardiyansyah; Basri, Hasan; Jamari, Jamari
Jurnal Rekayasa Mesin Vol 15, No 3 (2020): Volume 15, Nomor 3, Desember 2020
Publisher : Jurusan Teknik Mesin - Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jrm.v15i3.1993

Abstract

Kajian ini bertujuan untuk menganalisa tekanan kontak pada permukaan acetabular cup dengan dan tanpa paplikasi permukaan bertekstur. Kontribusi utama dari studi ini adalah mempelajari efek penambahan dimple terhadap tekanan kontak yang berkorelasi terhadap keausan yang terjadi. Pendekatan dengan menggunakan perangkat lunak dilakukan dengan melakukan pemuatan fisiologis sambungan tulang pinggul secara 3D dalam kondisi berjalan normal. Analisa tekanan kontak dilakukan secara kontak langsung dan deskritasi elemen hingga dengan metode dua kutub dilakukan untuk memberikan hasil tekanan kontak yang akurat. Hasil menunjukkan bahwa model total hip arthroplasty dengan penambahan dimple dapat mengurangi tekanan kontak untuk seluruh fase dalam satu siklus penuh yang menjelaskan bahwa penambahan dimple pada permukaan acetabular cup di total hip artroplasti dapat mengurangi tekanan kontak dan mengurangi keausan.
The compressive strength and static biodegradation rate of chitosan-gelatin limestone-based carbonate hydroxyapatite composite scaffold Rianti, Devi; Purnamasari, Alqomariyah Eka; Putri, Rifayinqa Ruyani; Salsabilla, Noor Zain; Faradillah; Munadziroh, Elly; Agustantina, Titien Hary; Meizarini, Asti; Yuliati, Anita; Syahrom, Ardiyansyah
Dental Journal (Majalah Kedokteran Gigi) Vol. 56 No. 3 (2023): September
Publisher : Faculty of Dental Medicine, Universitas Airlangga https://fkg.unair.ac.id/en

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/j.djmkg.v56.i3.p160-165

Abstract

Background: One of the main components in tissue engineering is the scaffold, which may serve as a medium to support cell and tissue growth. Scaffolds must have good compressive strength and controlled biodegradability to show biological activities while treating bone defects. This study uses Chitosan-gelatin (C–G) with good flexibility and elasticity and high-strength carbonate hydroxyapatite (CHA), which may be the ideal scaffold for tissue engineering. Purpose: To analyze the compressive strength and static biodegradation rate within various ratios of C–G and CHA (C–G:CHA) scaffold as a requirement for bone tissue engineering. Methods: The scaffold is synthesized from C–G:CHA with three ratio variations, which are 40:60, 30:70, and 20:80 (weight for weight [w/w]), made with a freeze-drying method. The compressive strengths are then tested. The biodegradation rate is tested by soaking the scaffold in simulated body fluid for 1, 3, 7, 14, and 21 days. Data are analyzed with a one-way ANOVA parametric test. Results: The compressive strength of each ratio of C–G:CHA scaffold 40:60 (w/w), 30:70 (w/w), and 20:80 (w/w), consecutively, are 4.2 Megapascals (MPa), 3.3 MPa, 2.2 MPa, and there are no significant differences with the p= 0.069 (p>0.05). The static biodegradation percentage after 21 days on each ratio variation of C–G:CHA scaffold 40:60 (w/w), 30:70 (w/w), and 20:80 (w/w) is 25.98%, 24.67%, and 20.64%. One-way ANOVA Welch test shows the result of the p-value as p<0.05. Conclusion: The compressive strength and static biodegradation of the C–G:CHA scaffold with ratio variations of 40:60 (w/w), 30:70 (w/w), and 20:80(w/w) fulfilled the requirements as a scaffold for bone tissue engineering.
Odor Profiling of Blood Shells Using TGS Gas Sensor and PCA-SVM Analysis Astuti, Suryani Dyah; Funabiki, Nobuo; Soelistiono, Soegianto; Winarno; Arifianto, Deny; Ramadhani, Nadia Nur; Permatasari, Perwira Annissa Dyah; Yaqubi, Ahmad Khalil; Susilo, Yunus; Syahrom, Ardiyansyah
Emerging Science Journal Vol. 9 No. 5 (2025): October
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-09-05-017

Abstract

Blood cockles (Andara granulosa) are among the most popular animal protein sources due to their rich nutritional content and high economic value. The storage period and temperature are two critical factors that significantly influence the freshness of blood cockles. One key indicator of blood cockle quality is the odor they emit. An unpleasant or inappropriate odor can indicate contamination or a decline in quality, posing potential food safety risks. However, conventional methods of odor quality testing are often subjective, require specialized skills, and may not always be reliable. To address the limitations of human olfaction, advancements in gas sensor technology, specifically gas array sensors (also known as the electronic nose), have been developed. This research aims to profile the freshness of blood cockles by identifying their odor under different storage conditions using electronic nose technology. The study used fresh blood cockle meat, which was stored under varying temperature conditions: at room temperature, in a cooler, and in a freezer. The storage periods for the samples were 1, 2, 3, 4, and 5 days. The samples were placed in sealed bottles and tested using a gas array sensor. The data collected from this process were in the form of voltage readings, which were analyzed using machine learning techniques, specifically Principal Component Analysis (PCA). The data were then classified using a Support Vector Machine (SVM) model. The study results showed that the gas array sensor successfully classified the odor profiles, with PCA explaining 93.83% of the variance in the data. The SVM model achieved an accuracy of 89.66% for PCA-reduced data and 91.44% for non-PCA data.
Co-Authors Ammarullah, Muhammad Imam Anita Yuliati Arifianto, Deny Asti Meizarini Devi Rianti Elly Munadziroh Faradillah Hasan Basri J. Jamari Nobuo Funabiki, Nobuo Permatasari, Perwira Annissa Dyah Purnamasari, Alqomariyah Eka Putri, Rifayinqa Ruyani Ramadhani, Nadia Nur Saad, Amir Putra Md Salsabilla, Noor Zain Soegianto Soelistiono Suryani Dyah Astuti Susilo, Yunus Titien Hary Agustantina WINARNO Yaqubi, Ahmad Khalil