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IDENTIFIKASI STRUKTUR GEOLOGI BAWAH PERMUKAAN BERDASARKAN NILAI SUSEPTIBILLITAS MAGNETIK BATUAN DI LAUT SULAWESI Patya, Dhea Intan; Rusdiana, Dadi; Purwanto, Catur; Ardi, Nanang Dwi
Jurnal Meteorologi Klimatologi dan Geofisika Vol 5 No 1 (2018): Jurnal Meteorologi Klimatologi dan Geofisika
Publisher : Unit Penelitian dan Pengabdian Masyarakat Sekolah Tinggi Meteorologi Klimatologi dan Geofisika

Telah dilakukan penelitian dengan menggunakan metode magnetik untuk mengetahui struktur geologi bawah permukaan di sekitar Laut Sulawesi. Pengambilan data dilakukan dengan  menggunakan seperangkat alat Proton Procession Magnetometer pada Kapal Geomarine III dengan total 22 lintasan. Pengolahan data dengan koreksi IGRF untuk mendapatkan anomali medan magnet total. Hasil dari interpretasi kualitatif maupun kuantitatif yaitu berupa variasi nilai intensitas magnet total sebesar -450 nT dari arah timur laut menuju ke barat daya sebesar 110 nT. Variasi nilai anomali intensitas magnet total merupakan parameter dalam menentukan nilai suseptibilitas batuan yang sangat berpengaruh terhadap struktur geologi bawah permukaan  di sekitar Laut Sulawesi. Pengaruh geologi yang dihasilkan adalah berupa daerah penunjaman dan terdapat patahan atau sesar. Nilai suseptibilitas magnetik batuan  pada struktur bawah permukaan di sekitar Laut Sulawesi di dominasi batuan beku jenis andesit dan basalt, dan batuan  metamorf  (k = 0,067833 ? 0,065333 SI).

A Comprehensive Investigation of Deep Drawing Processes for a 2-Inch Diameter Dop-pipe Cap: Numerical and Experimental Analysis Tikamori, Ghazi; Patya, Dhea Intan; Sukarman, Sukarman; Aulia Nanda, Rizki; Mulyadi, Dodi; Khoirudin, Khoirudin; Amir, Amir; Rokhman, Taufiqur; Safril, Safril
Jurnal Teknik Mesin Mechanical Xplore Vol 4 No 2 (2024): Jurnal Teknik Mesin Mechanical Xplore (JTMMX)
Publisher : Mechanical Engineering Department Universitas Buana Perjuangan Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36805/jtmmx.v4i2.6101

The persistent challenges in material forming processes arise from recurrent issues encountered during the deep drawing process, particularly involving cracks and deviations from standard thickness dimensions. This article investigates the deep drawing process using both experimental and numerical methodologies. The experimental approach employs a 40-ton capacity power press machine, while the numerical method utilizes the ABAQUS student version software. SPCC-SD (JIS G3141) is the selected material for producing a Dop-pipe 2-inch diameter pipe cap in both approaches. Noteworthy findings include the highest positive and negative correlations observed in elements E 46 and E 48, with values of 0.715 and -0.933, respectively. Minimal disparities, averaging around 4.6% for all components, were evident between the experimental and numerical methodologies. The numerical approach yielded predictive results identifying potential issues in elements E 47 and E 48. This observation did not reveal instances of tearing failure but instead showcased an increase in thickness due to a higher axial force between the dies and punched-in components. The study successfully and accurately predicted product thickness for all components, presenting a contrast with outcomes obtained through the experimental method. Furthermore, this research advances the deep drawing process, extending its applicability to broader material forming applications and ultimately enhancing overall production process efficiency.

Implementation of IoT in the Design of Arduino-Based Solar Panel Monitoring System Karyadi, Karyadi; Nanda, Rizki Aulia; Tukino, Tukino; Suhara, Ade; Amalia, Amalia; Patya, Dhea Intan; Oganda, Decut Della
Malikussaleh Journal of Mechanical Science and Technology Vol. 9 No. 1 (2025): Malikussaleh Journal of Mechanical Science and Technology (MJMST)
Publisher : E-Journal Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/mjmst.v9i1.21790

In order to develop literature studies on this research, solar panel monitoring systems to track the efficiency of solar energy conversion processes into electrical energy have been developed. The aim of this study was to build an IOT monitoring system on a mini solar panel to examine the impact of storing data in a microcontroller or IOT manner on the Thingspeak website. However, in this study, the same research was conducted, the difference being the use of a mini solar panel with a voltage capacity of 5V and a current of 60mA with a series or parallel assembly to obtain a voltage in the process of charging a 12V battery and a current of 5Ah. When using circuit design techniques, creating connectivity testing tools, data comparison, data processing, and finally, the test results, data is generated in the form of voltage, current, and power. The test results show that data storage using the microcontroller is faster than data storage using the IOT, which is due to the slow wifi signal speed. The error trend between the IOT and microcontroller from 10:00 to 11:00 o'clock decreased from the difference of 0.563 watts to 0.011 watts, indicating that the storage error between the IOT and the microcontroller is not too bad.

A Comprehensive Investigation of Deep Drawing Processes for a 2-Inch Diameter Dop-pipe Cap: Numerical and Experimental Analysis Tikamori, Ghazi; Patya, Dhea Intan; Sukarman, Sukarman; Aulia Nanda, Rizki; Mulyadi, Dodi; Khoirudin, Khoirudin; Amir, Amir; Rokhman, Taufiqur; Safril, Safril
Jurnal Teknik Mesin Mechanical Xplore Vol. 4 No. 2 (2024): Jurnal Teknik Mesin Mechanical Xplore (JTMMX)
Publisher : Mechanical Engineering Department Universitas Buana Perjuangan Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36805/jtmmx.v4i2.6101

The persistent challenges in material forming processes arise from recurrent issues encountered during the deep drawing process, particularly involving cracks and deviations from standard thickness dimensions. This article investigates the deep drawing process using both experimental and numerical methodologies. The experimental approach employs a 40-ton capacity power press machine, while the numerical method utilizes the ABAQUS student version software. SPCC-SD (JIS G3141) is the selected material for producing a Dop-pipe 2-inch diameter pipe cap in both approaches. Noteworthy findings include the highest positive and negative correlations observed in elements E 46 and E 48, with values of 0.715 and -0.933, respectively. Minimal disparities, averaging around 4.6% for all components, were evident between the experimental and numerical methodologies. The numerical approach yielded predictive results identifying potential issues in elements E 47 and E 48. This observation did not reveal instances of tearing failure but instead showcased an increase in thickness due to a higher axial force between the dies and punched-in components. The study successfully and accurately predicted product thickness for all components, presenting a contrast with outcomes obtained through the experimental method. Furthermore, this research advances the deep drawing process, extending its applicability to broader material forming applications and ultimately enhancing overall production process efficiency.

Performance Enhancement of Motorcycle Engines Using Lemongrass Oil-Based Fuel Additive Budi, Pangga Urip Setio; Suhara, Ade; Supriyanto, Agus; Patya, Dhea Intan; Khoirudin, Khoirudin; Nanda, Rizki Aulia
Journal of Mechanical Engineering, Science, and Innovation Vol 5, No 2 (2025): (October)
Publisher : Mechanical Engineering Department - Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jmesi.2025.v5i2.7778

The increasing number of motor vehicles has led to higher fuel consumption, especially among two-wheeled vehicles, contributing to elevated emissions of hydrocarbon (HC) and carbon monoxide (CO). This study investigates the potential of lemongrass oil (LO) as natural additive to reduce exhaust emissions from RON 92 fuel. The LO was extracted via maceration and characterized by its physical properties, including density (0.893 g/mL), viscosity (5.30 mPa.s), and boiling point (222 °C), consistent with pure LO standards. The additive as then blended into RON 92 fuel in concentration of 10 mL, 15 mL, and 20 mL per 1000 mL of fuel to determine its optimal performance. Results showed that a 20 mL addition yielded the highest reduction in HC and CO emissions, respectively 49.76% and 46.24%. Furthermore, engine performance improved, with power increasing by 0.27 HP and torque by 0.21 Nm within an engine speed range of 5200-5700 rpm. These outcomes suggest that LO enhances combustion efficiency and reduces emissions. The findings highlight the potential of LO as an environmentally friendly fuel additive and supprt ongoing efforts to develop sustainable alternatives to conventional fossil fuels in Indonesia.

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