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Mars: Jurnal Teknik Mesin, Industri, Elektro dan Ilmu Komputer
Published by Asosiasi Riset Teknik Elektro Dan Informatika Indonesia
ISSN : 30318750     EISSN : 30318742     DOI : 10.61132
Core Subject : Science,
Computer Science & IT
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer memuat naskah hasil-hasil penelitian di bidang Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Arjuna Subject : Teknik (semua kategori) - Teknik Mesin
Articles 299 Documents
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Pengaruh Penggunaan Artificial Intelligence (AI) Terhadap Minat Belajar Mahasiswa Teknik Informatika Angkatan 2022 Muhammad Amirul Muchminiin; Muhammad Kevin Andrian Rahmadhani; Syaikul Muqorobin; Faisal Mustaghfirullah; Osama Saddam Luthfi
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 4 (2024): Agustus: Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v2i4.235

Abstract

Penelitian ini bertujuan untuk mengeksplorasi pengaruh penggunaan teknologi Artificial Intelligence (AI) terhadap minat belajar mahasiswa angkatan 2022 di Universitas Muhammadiyah Ponorogo. Metode penelitian yang digunakan adalah kualitatif dengan pendekatan studi kasus melalui observasi, wawancara, dan angket. Hasil penelitian menunjukkan bahwa penggunaan AI dalam proses pembelajaran memiliki pengaruh signifikan terhadap minat belajar mahasiswa, dengan berbagai faktor yang mempengaruhi tingkat ketertarikan dan keterlibatan mereka dalam pembelajaran. Saran diberikan kepada dosen, penyedia layanan teknologi, dan mahasiswa untuk memaksimalkan manfaat AI dalam pendidikan.
Pendekatan Dan Metode Spectrum Sensing Dalam Tinjauan Literatur Rahardian Luthfi Prasetyo; Ahmad Nugroho Jati; I Made Adhi Wiryawan; Muhammad Ibkar Azki Himmawan
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 4 (2024): Agustus: Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v2i4.236

Abstract

Pemanfaatan spektrum gelombang radio telah meningkat pesat dalam beberapa dekade terakhir, namun tidak sejalan dengan ketersediaan frekuensi yang tersedia untuk pengguna. Fenomena ini diperparah oleh banyaknya pita frekuensi yang tidak digunakan oleh pemiliknya, yang menciptakan spectrum holes atau white spaces. Dalam konteks ini, teknologi Cognitive radio (CR) menjadi penting karena memungkinkan pengguna sekunder (secondary user) untuk mengakses dan menggunakan spectrum holes tanpa mengganggu pengguna primer (primary user). CR memungkinkan adaptabilitas perangkat radio dengan memanfaatkan cognitive cycle, dengan tahap utamanya adalah Spectrum sensing, di mana perangkat CR mencari spectrum holes dalam spektrum radio yang tersedia. Tahap berikutnya, Spectrum analysis dan Spectrum Decision, memungkinkan CR untuk mengoptimalkan penggunaan spektrum sesuai dengan kondisi yang ditemui. Paper ini bertujuan untuk melakukan tinjauan singkat terhadap implementasi CR, khususnya pada aspek spectrum sensing. Kami mengevaluasi berbagai teknik spectrum sensing, mengidentifikasi kelebihan, kekurangan, serta tantangan yang dihadapi. Dengan teknologi CR, pemborosan sumber daya spektrum dapat diminimalkan dan efisiensi komunikasi nirkabel dapat ditingkatkan. Paper ini memberikan pemahaman mendalam tentang pengembangan terbaru dalam spectrum sensing pada jaringan radio kognitif, serta memberikan panduan bagi penelitian dan implementasi di masa depan.
Systematic Literature Review Pemanfaatan Aplikasi MyIndihome bagi Pelanggan Rezky Ramanda; Joy Nashar Utama Jaya
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 4 (2024): Agustus: Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v2i4.237

Abstract

Penelitian ini bertujuan untuk menyelidiki pemanfaatan MyIndiHome bagi pelanggan dengan fokus pada kepuasan pelanggan dan manfaat aplikasi. Menggunakan metode Systematic Literature Review (SLR), penelitian ini mengidentifikasi 30 paper jurnal yang memenuhi kriteria inklusi, mulai dari tahun 2016 hingga 2019. Melalui analisis data, temuan penelitian ini menyoroti fleksibilitas layanan, kualitas layanan elektronik, dan interaksi pelanggan sebagai faktor utama yang memengaruhi kepuasan pelanggan. Hasil Quality Assessment menegaskan validitas dan relevansi data yang digunakan dalam penelitian. Analisis data juga mengungkapkan bahwa penggunaan kuesioner sebagai teknik pengumpulan data yang paling umum digunakan, dengan jumlah responden sebanyak 100 orang. Faktor-faktor lain yang signifikan dalam pengaruh terhadap kepuasan pelanggan termasuk kualitas produk, harga, dan promosi penjualan. Berdasarkan temuan penelitian, disarankan agar perusahaan telekomunikasi terus memperhatikan fleksibilitas layanan, meningkatkan kualitas layanan elektronik, dan memperkuat interaksi dengan pelanggan. Peningkatan kualitas jaringan dan sistem informasi juga penting untuk memastikan pengalaman pengguna yang optimal. Dengan demikian, penelitian ini memberikan pandangan menyeluruh tentang pemanfaatan MyIndiHome bagi pelanggan dan memberikan dasar bagi perusahaan telekomunikasi untuk meningkatkan kepuasan pelanggan dan efektivitas pemanfaatan aplikasi di masa mendatang.
Achieving High Accuracy in Breast Cancer Diagnosis with CNN Israa Shakir Seger; Amjad Mahmood Hadi
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 4 (2024): Agustus: Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v2i4.240

Abstract

Breast cancer is a prevalent disease among women that can lead to fatalities. Using deep learning methods to detect and classify tumors can aid in the diagnostic process. Tumors can be classified as either malignant or benign, and doctors require an accurate diagnostic system to distinguish between the two. Even specialists can find it challenging to identify tumors, emphasizing the need for an automated diagnostic system for diagnosing and treating tumors. This study aims to enhance the efficiency of breast cancer diagnosis by implementing a deep convolutional neural network (DCNN). The Wisconsin Diagnostic Breast Cancer (WDBC) dataset was used in the main trials. The CNN technique utilized in this study exhibits superior performance compared to existing methods and achieves a 99.70% accuracy rate in detecting breast cancer.
Pengaruh Sudut Pulley dan Mangkok Kartel Terhadap Daya dan SFC Motor 160 cc Muhammad Yusuf Firdaus; Listiyono Listiyono
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 4 (2024): Agustus: Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v2i4.241

Abstract

Significant developments in the the automotive field from year to year has always increased, accompanied by with the advancement of various supporting components. Apart from functioning as a means of transportation, motorbikes are also a hobby for some people. The objectives of this research are Analyzing the effect of the motorcycle CVT pulley tilt angle on the power and SFC produced by a 160cc motorcycle. produced by a 160cc motorcycle. Analyzing the effect of cartels on the surface of the double bowl of the CVT pulley, on the power and SFC of a 160cc motorcycle. and SFC of a 160cc motorcycle and to obtain the degree of tilt angle on the pulley and the variation of the surface size of the pulley bowl cartel that provides the best performance for 160cc motorcycles. This research uses type of quantitative research with experimental methods. All data collection was carried out on a dynamometer test machine, where the first step was to placing the motorcycle accurately on the predetermined roller bearings. Determined. After the engine and all the measuring equipment were properly installed, the next testing process is to test the power and fuel consumption until data collection. The results of this study get the highest power on a 14° pulley with a 2mm cartel bowl reaching a power of 11.92 HP and get the most optimal SFC value with a value of 0.06813 kg / HP.h. Then the two way anova test was conducted getting an alpha value of less than 0.05. So that the variation has significant influence.
Pengaruh Variasi Spring Plat dan Massa Roller Terhadap Torsi dan FC Pada Motor 150 cc Bagus Kencana Surya; Listiyono Listiyono
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 4 (2024): Agustus: Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v2i4.242

Abstract

In Indonesia, there are two types of motorcycle transmissions: manual and automatic. Users prefer automatic transmissions due to convenience and fuel efficiency. Automatic transmissions, such as CVT, CVT utilizes force for smooth and continuous gear ratio changes. CVT has disadvantages because unlike manual motors that have greater torque, especially on motorbikes that are three years old or more, such as poor acceleration at low to medium revolutions and wasteful fuel. This study aims to determine how the effect of adding spring plate and roller mass variations on torque and fuel consumption. This research uses a quantitative method with an experimental approach, by testing the independent variable to determine the results of the dependent variable. The result of this research is the use of lighter rollers can increase fuel consumption but the torque is getting smaller, because the use of lighter rollers has a fast rotation response so that the crankshaft in rotating the roller housing pulley is also lighter so it does not require a lot of fuel. While the use of heavier rollers coupled with spring plates also increases torque because the displacement ratio is faster, the torsional moment will be large which causes the torque to increase.
Perbandingan Algoritma Deep Q-Network dan Local Outlier Factor Untuk Deteksi Anomali Konsumsi Air Minum Pelanggan PUDAM Kabupaten Banyuwangi Andhika Ahnaf Daniswara; Basuki Rahmat; Eva Yulia Puspaningrum
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 4 (2024): Agustus: Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v2i4.243

Abstract

Adequate provision of drinking water in quantity, quality, and continuity is needed to realize a healthy and productive society. A well-managed Drinking Water Supply System (SPAM) is essential to meet this need. Based on Government Regulation Number 122 of 2015, the implementation of SPAM involves the development and management of drinking water which is the responsibility of the local government and PUDAM as the implementer. The main challenges faced by PUDAM include the high level of water loss or Non-Revenue Water (NRW), which reaches 40% in Indonesia. One of the efforts to reduce the NRW level at PUDAM Banyuwangi Regency in the Kalipuro District area is to detect abnormal consumption in customer drinking water consumption. This study uses the Deep Q Network and Local Outlier Factor algorithms to detect anomalies in drinking water consumption, with the aim of comparing the performance of the two algorithms in identifying abnormal consumption patterns at PUDAM Banyuwangi Regency. The results of the study indicate that the Local Outlier Factor algorithm is more suitable for anomaly detection as evidenced by the absence of detection errors and an F1-Score value of 36%.
Rancang Bangun Mesin Espresso dengan Sistem Pre-Charge Pneumatic Dwi Istiyarno; Ikhwan Taufik; Herru Budi Santoso
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 4 (2024): Agustus: Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v2i4.245

Abstract

The development of technology in the world is growing rapidly, so that technology is able to make everything that is done faster and more effective, such as technology that is developing in the coffee industry. Manual espresso machines are done using human power, so there are limitations to the power needed to make espresso in large quantities at once and lack of time efficiency. This pneumatic system allows for more responsive pressure control compared to manual systems. The Pneumatic Pre-Charge (PCP) system is a system that utilizes natural resources as its main energy source in renewable energy systems such as air. The method used to achieve a more optimal manual espresso machine is to use an experimental research method to test the performance of the espresso machine designed from a combination of a PCP system through empirical data collection to measure how efficient the machine is. The design process produces a manual espresso machine design which can then be developed into a espresso machine. Testing was carried out as many as 210 cycles and was divided into 3 stages of testing, namely a 360 cc cylinder capacity with a pressure of 2700 psi capable of pressing an average of 70 times, showing that the coarser the grind size of the coffee powder used, the time and pressure required will be reduced by requiring a pressure of 35 psi. From the results of this study, further testing is needed on the use of a PCP system espresso machine to validate its usefulness in supporting the needs of making espresso in the coffee industry.
Pengaruh Persentase Minyak Kayu Putih Dan Nilai Oktan Bahan Bakar Terhadap Getaran Mesin Dan Emisi Gas Buang Muhammad Alfiadi Triswial Arsy; Santoso Santoso
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 4 (2024): Agustus: Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v2i4.247

Abstract

Vehicles in Indonesia continue to increase every year which has an impact on fuel consumption and air pollution. Vehicle gas emissions are the biggest contributor to air pollution. This research method uses experiments with gas analyzers and vibration meters. Variations in octane values ​​of 90 and 92 with mixture percentages of 10%, 18%, 22% at 2000 to 5000 rpm. Test results were analyzed using two-way ANOVA. The research results showed that at RON 90 there was a change in CO and HC with the best percentage, in the 18% mixture the CO was 0.29% and HC 96ppm compared to the 10% and 22% mixture. At RON 92 there was a change in CO and HC at the best percentage, namely a mixture of 18%, data obtained for CO was 0.19% and HC was 62 ppm. So the reduction in CO and HC levels occurs in the ideal mixture by 18% at RON 90 and 92.
Perancangan dan Implementasi Api Pada Aplikasi Deteksi Mata Katarak Menggunakan Google Cloud Run Muh Hafizin; Paniran Paniran
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 4 (2024): Agustus: Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v2i4.248

Abstract

Cataracts are the leading cause of blindness in Indonesia, with a prevalence of 1.5%. Unfortunately, many people overlook regular eye examinations that are crucial for early detection. As age increases, eyes become more susceptible to conditions like cataracts, characterized by clouding of the eye's lens. Addressing this challenge, Google Cloud Run has been implemented to develop a fast, efficient, and scalable cataract detection API. This initiative aims to facilitate easier access for healthcare professionals and the general public. The application is expected to enhance early screening, early detection, and prevention of serious eye conditions such as cataracts, ultimately improving quality of life through more effective prevention and treatment efforts.

Page 4 of 30 | Total Record : 299

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