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Oman Somantri
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oman.somantri@pnc.ac.id
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INDONESIA
Infotekmesin
ISSN : INFOTEKMES     EISSN : 26859858     DOI : -
INFOTEKMESIN is a peer-reviewed open-access journal with e-ISSN 2685-9858 and p-ISSN: 2087-1627 published by Pusat Penelitian dan Pengabdian Masyarakat (P3M) Politeknik Negeri Cilacap. The journal invites scientists and engineers to exchange and disseminate theoretical and practice-oriented in the various topics include, but not limited to Informatics, electrical Engineering, and mechanical Engineering.
Arjuna Subject : -
Articles 636 Documents
Pengaruh Variasi Pendinginan Terhadap Kekasaran Permukaan Hasil Proses Milling Pada Material Stainless Steel AISI 304 Jati, Unggul Satria; Prabowo, Dian; Hastuti, Hety Dwi
Infotekmesin Vol 15 No 2 (2024): Infotekmesin, Juli 2024
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v15i2.2371

Abstract

Machining processes in current developments are required to be more environmentally friendly, the use of coolant has a big impact on the environment. So air cooling media is an alternative that can be used to reduce production costs and implement environmentally friendly machining processes. This research aims to determine the level of surface roughness on AISI 304 Stainless Steel at depth of feed and cooling medium. There are two independent variables and a dependent variable. The dependent variable is cutting speed 63 mm/min and feed speed 950 mm/min, while the independent variable is variation. cooling media (room air, dromus, and cooled air) and variations in feeding depth (0.5, 0.75 and 1 mm. The results obtained from this test show the influence of variations in cooling media and depth of feed on the surface roughness of Stainless Steel AISI 304. The tools and materials used are Stainless Steel AISI 304, milling machine, dromus, cold air cooler, thermometer, pressure gauge, and tools. surface roughness tester. Tests obtained the greatest roughness results in the cooling medium using room air which showed a roughness level of 0.974 μm with a cutting speed of 63 mm per min and a feed speed of 950 mm per min. Then the smallest level of roughness is in the cooling media using cold air, namely 0.296 μm with a cutting speed of 63 mm per min and a feed speed of 950 mm per min.
Pengembangan Model Machine Learning Berbasis Linear Discriminant Analysis (LDA) untuk Deteksi Gejala Penyakit Jantung Menggunakan Python Saputri, Inka; Raras Ajeng Widiawati, Chyntia; Sarmini , Sarmini; Yunita, Ika Romadoni
Infotekmesin Vol 16 No 2 (2025): Infotekmesin: Juli 2025
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v16i2.2377

Abstract

Heart disease is the leading cause of death globally and is often not detected early due to limited awareness and the high cost of medical diagnosis. This study aims to develop an accurate and efficient prediction model for heart disease using the Linear Discriminant Analysis (LDA) algorithm. The dataset, obtained from Kaggle, contains 1,024 patient records with 14 clinical attributes, including age, blood pressure, cholesterol, and ECG results. The preprocessing steps include handling outliers, duplicates, class imbalance using SMOTE, and feature standardization. The model was evaluated using cross-validation and learning curve analysis. Results show that the optimized LDA model, tuned with GridSearchCV, achieved an accuracy of 82.54%, a recall of 88.91%, a precision of 79.03%, and an F1-score of 83.54%. The model demonstrates balanced and stable performance, although some misclassification in the positive class remains. This study highlights LDA as a promising method for the early detection of heart disease based on structured clinical data.
Analisis Optimalisasi Perawatan Excavator Untuk Menunjang Produktivitas Unit Luthfi Wifaqi, Ahmad Naufal; Prihadianto, Braam Delfian; Winarto, Felixtianus Eko Wismo; Harjono; Oktavian, Dicky
Infotekmesin Vol 16 No 1 (2025): Infotekmesin: Januari 2025
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v16i1.2387

Abstract

Maintenance is an important daily activity that aims to ensure equipment or units can operate properly by reducing the risk of damage. One of the heavy equipment units used in mining projects is an excavator, but the high frequency of breakdowns in excavator units requires optimization of the maintenance that has been carried out. This study aims to analyze the performance and effectiveness of hydraulic excavator unit maintenance using the physical availability, mechanical availability, use of availability, mean time between failure, and mean time to repair calculation methods. The calculations show an 8.12% increase in the average PA, MA, and UA values and a 5.16-hour increase in MTBF. Meanwhile, the MTTR calculation results indicate a time reduction of 6.16 hours after optimization. The calculation results after optimization show that the maintenance carried out is effective and efficient to support the unit's productivity
Pengaruh Penambahan Methanol Terhadap Performa Mesin Injeksi 150 CC Berbahan Bakar Pertamax fatkhurrozak, faqih; Lukman Sanjaya, Firman; Syarifudin, Syarifudin; Nur Akhmadi, Amin; Budhi Hendrawan, Andre
Infotekmesin Vol 16 No 1 (2025): Infotekmesin: Januari 2025
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v16i1.2395

Abstract

The use of fossil fuels causes air pollution in Indonesia. Biofuel is one of the alternatives often used, one of which is methanol. Methanol has efficient characteristics and low emissions, increases engine performance and thermal efficiency, and reduces fuel consumption. This study aims to observe the concentration of pertamax - methanol addition of 5%, 10%, and 15% on performance, BSFC, and BTE. The percentage of pertamax and methanol fuel mixing is 5%, 10%, and 15%, and the speed used is 1000, 2000, and 3000 rpm. The measurements taken are power, BSFC, and BTE using a dynotest and displayed on a screen. Adding 5%, 10%, and 15% methanol to pertamax increases engine performance. The addition of Pertamax-methanol PM15 increases power by 25% at a speed of 1000 rpm, reduces BSFC by 40% on PM15 at a speed of 2000 rpm, and increases thermal efficiency on PM5 by 73% at a speed of 2000 rpm
Optimisasi Proses Pengupasan dan Pengirisan Bawang Merah dengan Teknologi Terbaru Zainal Fanani, Nurul; Baihaqi, Imam; Saiful Rizal, Ahmad; Surahman, Abi; Setiawan Aji P, Ugi
Infotekmesin Vol 16 No 1 (2025): Infotekmesin: Januari 2025
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v16i1.2402

Abstract

Shallots (Allium ascalonicum L.) are essential tuber crops in the food industry, enhancing the aroma and flavour of various dishes. Manual peeling and slicing of shallots are time-consuming and can cause eye irritation. This study aims to develop and test an integrated shallot peeling and slicing machine to improve processing efficiency and reduce discomfort. The machine used in this study has a capacity of 3 kg. Peeling tests were conducted with shallots weighing 1 kg, 2 kg, and 3 kg, recording the time needed for each weight. Slicing tests were conducted with shallots weighing 0,5 kg, 1 kg, 1,5 kg, and 2 kg, measuring the thickness of the slices produced. The results show that the machine takes approximately 6 minutes to peel 1 kg of shallots and 4 minutes for 2 kg and 3 kg, demonstrating 30 times the efficiency of manual peeling. Slicing 0,5 kg of shallots resulted in 0,5 mm thick slices, while for 1 kg and 2 kg, the slice thickness was consistently 0,4 mm. For 1,5 kg, the slice thickness was 0,7 mm, with the machine's slicing performance improving approximately 3 times compared to manual methods. This study concludes that the integrated shallot peeling and slicing machine effectively enhances the efficiency and accuracy of shallot processing, making it viable for implementation in the food industry.
Kendali Kecepatan Motor BLDC dengan metode Mesin Sinkron dan Variasi PWM berbasis IoT Asep Andang; Rahayu, Andri Ulus; Imam Taufiqurrahman; Ervan Paryono
Infotekmesin Vol 16 No 1 (2025): Infotekmesin: Januari 2025
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v16i1.2417

Abstract

This study investigates speed control of brushless DC (BLDC) motors using a synchronous machine method and Pulse Width Modulation (PWM) variations based on IoT. A three-phase inverter controlled by an STM32 microcontroller was used to drive the BLDC motor. Speed control was implemented by adjusting the inverter frequency based on the synchronous machine principle, while PWM duty cycle was varied to regulate the input voltage. An IoT-based system using a smartphone app allowed remote speed settings. Experimental results showed that the synchronous machine method could effectively control BLDC motor speed, with frequency changes linearly affecting inverter output voltage. Varying PWM duty cycles impacted the voltage required to achieve target speeds, with higher duty cycles requiring lower voltages. The control system achieved speed accuracies within 3% of setpoints across different duty cycles. This approach demonstrates the feasibility of applying synchronous machine principles for BLDC motor control with IoT integration.
Early Warning System Bencana Banjir Menggunakan LoRa Antar Node System Sumardiono, Arif; Zaenurohman, Zaenurohman; Alimudin, Erna
Infotekmesin Vol 16 No 1 (2025): Infotekmesin: Januari 2025
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v16i1.2448

Abstract

Indonesia adalah salah satu negara yang beriklim tropis. Curah hujan yang tinggi menyebabkan banjir pada sungai yang tidak dapat diprediksi. Bencana banjir yang terjadi nampak tidak ada pencegahan secara efektif serta kurangnya sistem untuk memberikan peringatan sedini mungkin sebelum terjadinya bencana banjir agar kerugian dapat diminimalisir. Pemantauan bencana banjir harus dilakukan di tepi sungai dari hulu ke hilir. Pada lokasi tersebut sering tepi sungai berada di daerah hutan yang kondisi sinyal gsm lemah bahkan tidak ada. Kondisi tersebut menyebabkan sulitnya pengiriman data antar node ews ke penerima. Kesulitan tersebut dapat diatasi dengan menggunakan sebuah modul Lora. Lora mempunyai komunikasi menggunakan gelombang radio 455 Mhz. Gelombang tersebut dapat dipancarkan oleh modul dan dapat diterima oleh modul Lora di Reciver. Sehingga pengiriman data dapat dilakukan tanpa mengadalkan sinyal GSM. Lora juga dapat digunakan untuk pengiriman data menggunakan topologi jaringan seperti star, mesh, dll. Sistem peringatan dini bencana banjir menggunakan Lora didapatkan jarak maksimal komunikasi pada NLOS jarak maksmial komunikasi adalah 520 m dengan nilai RSSI terkecil -128 dan terbesar -147 dBm.
PENERAPAN METODE QUALITY FUNCTION DEPLOYMENT (QFD) DALAM PERANCANGAN DAN PEMBUATAN ALAT PEMANENAN KELAPA SAWIT BERMOTOR PADA DI INDUSTRI KELAPA SAWIT : PERANCANGAN DAN PEMBUATAN ALAT PEMANENAN KELAPA SAWIT BERMOTOR Reky Kurnia Widhi, Andreas; Nugroho, Oktavianus Ardhian; Kumbarasari, Shanti
Infotekmesin Vol 16 No 1 (2025): Infotekmesin: Januari 2025
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v16i1.2452

Abstract

In the oil palm plantation industry, several motorized palm oil harvesting equipment already exist in the palm oil industry market. Several motorized palm harvesting equipment, such as STIHL PC 70 and Tanika TS-5, are on the market. These two machines are rarely used because the tool's price is still high compared to the manual method. One part that makes both tools expensive is the gearbox. In addition, this part is the most often damaged so it requires a long repair time and increases the time to harvest oil palm. This research aims to design a gearbox for oil palm harvesting equipment that is low-cost, lightweight, and tough. The Quality Function Deployment (QFD) method was chosen to prototype the palm oil harvesting gearbox. The results of this research obtained a prototype gearbox that is lightweight and has a tough mechanical system. In addition to its manufacture, which is carried out independently and using local materials, the production cost of the gearbox is low, even when it is still in prototype form.
Optimalisasi Ko-Pirolisis Campuran Eceng Gondok dan Batubara Muda Terhadap Produksi Bio-Oil, Gas, dan Char Sabitah, A'yan; Noor Ardiyat, Ichwan; Misbachudin, Misbachudin
Infotekmesin Vol 16 No 2 (2025): Infotekmesin: Juli 2025
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v16i2.2464

Abstract

One of the abundant biomass resources in Indonesia is water hyacinth, which can be converted into energy through pyrolysis. This research explores the effect of temperature on the co-pyrolysis process of a mixture of water hyacinth and young coal to produce bio-oil, gas, and char. The method used is pyrolysis with temperature variations on the mixture of water hyacinth and young coal in a batch reactor.  The testing was conducted at a temperature of 400°C with various compositions of water hyacinth and coal mixtures, and the resulting products in the form of bio-oil, gas, and char were then measured to determine the yield. The research results show that in the pyrolysis of pure water hyacinth, gas production reaches 120 grams, bio-oil 108 grams, and char 72 grams. The addition of coal up to 30% increases char production to 113 grams, but decreases gas production to 94 grams and bio-oil to 87 grams.  The gas produced is dominated by methane (67.315%) in a mixture of 70% water hyacinth and 30% coal, while hydrogen reaches 33.721% in pure water hyacinth.
Pemanfaatan Limbah Plastik PET Sebagai Filamen Printer 3D dengan Metode Pultrusi Wirantara, Rizky; Syamsiro, Mochamad; Mulyanti, Juriah
Infotekmesin Vol 16 No 1 (2025): Infotekmesin: Januari 2025
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v16i1.2467

Abstract

Polyethylene terephthalate (PET) plastic bottle waste can be recycled into 3D printer filament through pultrusion method. Some previous studies have identified the parameters of PET recycled filament, but have not yet deeply examined the effect of the combination of parameters including the level of roughness. This study aims to evaluate the effects of variations in bed and head temperatures and printing speed on the dimensions of 3D-printed PET filament, to analyze defects, and to assess surface roughness. The results showed that the best products were found at a head temperature of 265°C, a bed temperature of 80°C, and a speed of 35 mm/s. The dominant defects that appeared were under & over-extrusion, weak infill, and layer separation and splitting. Minimal defects were obtained at a head temperature of 265°C and 260°C with a bed temperature of 80°C at a speed of 35 mm/s. The lowest surface roughness results were in class N10, namely Ra = 16.137 µm. This study indicates that optimized parameters produce high quality, making PET a sustainable alternative material.