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Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer (JURITEK)
Published by Sekolah Tinggi Ilmu Ekonomi Trianandra
ISSN : 28090802     EISSN : 28090799     DOI : https://doi.org/10.55606/juritek.v2i1
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
Jurnal Imliah Teknik Mesin, Elektro dan Komputer merupakan jurnal ilmiah yang menyajikan artikel orisinal tentang pengetahuan dan informasi riset atau aplikasi riset dan pengembangan terkini dalam bidang teknologi. Ruang lingkup Jurnal Juritek meliputi bidang Informatika, Teknik Mesin, Teknik Elektro, Sistem Informasi dan Teknik Industri. Artikel yang masuk akan melalui proses seleksi mitra bestari dan/atau editor. Jurnal Juritek diterbitkan oleh Sekolah Tinggi Ekonomi Trianandra terbit 3 kali dalam setahun, yaitu pada bulan Maret, Juli dan November
Arjuna Subject : Teknik (semua kategori) - Teknik Mesin
Articles 210 Documents
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Sistem Monitoring Kelembaban Tanah Pada Tanaman Kacang Hijau Berbasis Internet Of Things Hanum Fauziah Isnanto; Suprayogi
Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer Vol. 3 No. 3 (2023): November: Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/juritek.v3i3.2831

Abstract

Dalam pengelolaan lahan petanian kacang hijau di Desa Kedungwinagun, Kecamatan Klirong, Kabupaten Kebumen belum memiliki kemampuan guna menganalisis kondisi kelembapan tanah. Hal tersebut dapat berpengaruh pada proses pertumbuhan tanaman. Maka dari itu diperlukannya alat serta sistem yang dapat membantu petani untuk menganalisis nilai kelembapan tanah, dengan menerapkan internet of things. Dalam pengembangannya, sistem ini menerapkan metode prototype. Data yang diperoleh merupakan data hasil dari pembacaan sensor kelembapan tanah yang terhubung dengan mikrokontroler dan terkoneksi dengan jaringan internet. Hasil akhir dari sistem ini yaitu saat kondisi kelembapan tanah < 40% maka pompa air akan mati, hal ini dikarenakan kondisi tanah terdeteksi basah. Nilai kelempan tanah 40 – 60% pompa air akan mati karena nilai kelembapan tanah dalam rentang normal, sedangkan nilai kelembapan tanah > 60% pompa air akan hidup, karena kondisi tanah terdeteksi kering. Nilai sensor kelembapan tanah akan ditampilkan pada website dalam bentuk grafik secara real-time.
PEMODELAN LUAPAN BANJIR DAS LUKULO MENGGUNAKAN APLIKASI HEC-RAS: (Studi Kasus: Kabupaten Kebumen) Syahrul Bashori; Novi Andhi Setyo Purwono
Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer Vol. 4 No. 1 (2024): Maret
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/juritek.v4i1.2843

Abstract

Sungai Lukulo adalah sungai yang terletak di wilayah Provinsi Jawa Tengah yang mengaliri dari utara ke selatan melintasi 2 kabupaten yaitu Kabupaten Kebumen dan Kabupaten Wonosobo. Sungai Lukulo merupakan sungai yang berada pada Daerah Aliran Sungai (DAS) Lukulo yang sebagian besar dilewati adalah Kabupaten Kebumen. Sungai Lukulo memiliki aliran yang cukup besar pada saat musim hujan di kala waktu tertentu. Dampaknya sering terjadinya luapan air pada daerah dan waktu tertentu saat terjadinya curah hujan yang tinggi. Tujuan dari penelitian ini adalah untuk mengetahui debit maksimum yang dihasilkan dari debit rancangan dan tinggi muka air banjir terparah selama 2,510,25,50, dan 100 tahun yang akan datang. Metode yang digunakan untuk mengetahui besarnya debit luapan pada penelitian ini menggunakan metode HSS Nakayasu terhadap curah hujan yang diambil dari stasiun Karangsambung, Somagede, Pejengkolan, dan tahun 2013-2022. Hasil debit rancangan dilakukan simulasi dengan program HEC-RAS 5.0.7 dengan kala ulang 2,5,10,25, dan 50. Debit puncak adalah sebesar 920,67 m3 /dtk untuk kala ulang 2 tahun, 1152,163 m3 /dtk untuk kala ulang 5 tahun, 1305,423 m3 /dtk untuk kala ulang 10 tahun, 1499,089 m3 /dtk untuk kala ulang 25 tahun, 1642,356 m3 /dtk untuk kala ulang 50 tahun.
Sistem Pendukung Keputusan Penilaian Dosen Terbaik Menggunakan Metode Analytical Hierarchy Process (AHP) Studi Kasus Fakultas Keguruan dan Ilmu Pendidikan Universitas Dehasen Bengkulu Magdalena Sundari; Asnawati Asnawati; Indra Kanedi
Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer Vol. 4 No. 1 (2024): Maret
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/juritek.v4i1.2884

Abstract

The AHP method used in this decision support system can help decision makers in solving complex problems by considering existing criteria and sub-criteria. It is hoped that this decision support system will make it easier for the faculty to assess lecturer performance objectively and effectively so that it can improve the quality of education at Dehasen University, Bengkulu. Waterfal method, ready-made software that is operated by the user and carried out maintenance. Maintenance allows developers to make corrections to errors that were not detected in previous stages. Maintenance includes repairing errors. Based on the research that has been carried out through the stages of analysis, design, system development, system testing and implementation, it can be concluded that, the system built using the Analytical Hierarchy Process (AHP) method in selecting the best lecturers can provide information in the form of the best lecturers in accordance with the criteria and also the conditions that the user enters, the Analytical Hierarchy Process (AHP) method uses input in the form of assessments for each criterion that can run well according to the design, the decision support system uses the analytical hierarchy process (AHP) method where the value obtained is a consistent value if the value of CR is equal to or more than 0.1 (10%).
Metode Data Mining untuk Seleksi Calon Mahasiswa Baru pada Penerimaan Mahasiswa Baru di Universitas Muhammadiyah Gresik Muhammad Zaky Al Mubarok; Umi Chotijah
Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer Vol. 4 No. 1 (2024): Maret
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/juritek.v4i1.2886

Abstract

Muhammadiyah University of Gresik is one of the educational institutions in Gresik. Every year, the ratio of new students to graduates is not the same, which can affect the accreditation of the campus. To address this issue, a prediction is made on the data of prospective new students to detect whether they can graduate on time or not. A comparison of the classification results is performed using the K-Nearest Neighbor and Naive Bayes methods. From the implementation and testing, Naive Bayes achieves an accuracy of 72%, while the K- Nearest Neighbor method achieves an accuracy of 64%. Therefore, Naive Bayes is better at classifying the data of prospective new students compared to K-Nearest Neighbor.
Pemanfaatan Media Sosial Sebagai Edukasi Agama Dikalangan Mahasiswa Teknik Industri UPN “Veteran” Jawa Timur Arya M. Shakti; Rizky N. Hidayah; Rangga D. Syahputra; Trianisa Muniroh; Nazwa R. Armevia; Erwin Kusumastuti
Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer Vol. 4 No. 1 (2024): Maret
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/juritek.v4i1.2891

Abstract

Students have broad and easy access to various social media platforms, this opens up opportunities for educational institutions and parties involved in the field of religious education to utilize social media as a means of spreading religious values. However, the use of social media in the context of religious education is not without challenges, various aspects such as the accuracy of information, privacy, and the potential for polarization of views are things that need to be considered seriously. To solve the problems faced, the method of distributing questionnaires to students was used, to determine the level of effectiveness of using social media as a means of religious education. The data obtained will be analyzed using validity and reliability tests to find out whether the data can be said to be valid and reliable with the help of SPSS software. Based on the results of the research that has been conducted, it can be concluded that the level of effectiveness of using social media as a means of religious education is high, a number of positive responses from the majority of respondents is proof that social media helps them in studying and understanding religion. The variable data used is declared valid because it has a calculated r value > r table and a significance value < 0.05. Apart from that, the variable data was also declared reliable because it had a Cronbach's alpha value > 0.6. This research aims to analyze the level of effectiveness of using social media as a means of religious education.
Sistem Pakar Diagnosa Penyakit pada Tanaman Jambu Kristal Menggunakan Metode Dempster Shafer Berbasis Web Saifu Rohman; Rina Mahmudati; Wiko Anang Ansoruloh
Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer Vol. 4 No. 1 (2024): Maret
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/juritek.v4i1.2892

Abstract

The Crystal Guava plant can be attacked by several types of diseases. Diseases in crystal guava plants can cause significant losses in fruit production. Some pests and diseases that can attack crystal guava plants include fruit flies, bagworms, whiteflies, anthracnose, and red rust. Therefore, accurate and timely disease diagnosis is crucial in controlling and managing these diseases. In this study, an Expert System for Disease Diagnosis in Crystal Guava Plants Using the Dempster Shafer Method-Based Web was developed. The Dempster Shafer method calculates the likelihood of a disease attacking crystal guava plants based on the density probability values of each symptom. The results produced by this expert system include the type of disease, solution, and the percentage probability value of the disease, with an average accuracy of 83.33%. Hence, it can be concluded that the system can diagnose diseases in crystal guava plants effectively.
Diagnosa Kerusakan Pompa Bahan Bakar (Fuel Pump) Pada Sepeda Motor Honda CB 150 R Tomi Abdilah; Firmansyah
Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer Vol. 4 No. 1 (2024): Maret
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/juritek.v4i1.2894

Abstract

Banyaknya pengguna sepeda motor yang menggunakan sistem injeksi, membuat kebutuhan informasi perawatan sepeda motor dibutuhkan. Sepeda motor Honda CB 150 R sangat membutuhkan fuel pump yang terbaik agar tidak selalu mengalami kerusakan pada tangki. Penyebab kerusakan fuel pump bukan hanya dari pekaratan tetapi bisa juga dari faktor lain seperti saringannya yang tidak pernah di ganti atau ada kabel yang terputus. Untuk memperbaiki kerusakan yang terjadi pada fuel pump, maka sebaiknya dilakukan perawatan yang berkala, agar fuel pump tidak mengalami kerusakan yang lebih parah lagi. Honda CB 150 R adalah honda yang Hi Quality. Sebagai pelopor pertama yang mengadaptasi system fuel injection di Indonesia. Motor Honda CB 150R ini di lengkapi dengan Fuel Pump yang berfungsi untuk memompa bahan bakar dengan tekanan yang harus sesuai. Penggunaan sepeda motor sebagai alat transportasi memerlukan perawatan seiring dengan lamanya pemakaian. Sepeda motor yang perawatannya kurang dapat menimbulkan kerusakan pada komponen atau part dari Fuel Pump Sepeda Motor.
Perancangan Aplikasi E-Lapor Berbasis Android untuk Membantu Komunitas Peduli Sungai Opak Gajah Wong Melakukan Monitoring Potensi Bencana Agung Yulianto Nugroho; Johan Danu Prasetya; Yohana Noradika Maharani; Tedy Agung Cahyadi; Ficky Adi Kurniawan
Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer Vol. 4 No. 1 (2024): Maret
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/juritek.v4i1.2902

Abstract

Information technology has emerged to make various activities easier. One of the important roles of information technology is in providing disaster information. River Care Communities (KPS) which are currently spread across several regions in Indonesia, one of which is River Care Communities Opak Gajah Wong. River Care Communities have an important role in helping reduce disaster risks along river flows. There are various kinds of events that have the potential to cause disasters along river flows, including accumulation of rubbish, landslides on river walls, narrowing and shallowing of rivers, rising water discharge above normal limits and the growth of wild plants that can obstruct river flow. Currently the River Care Community only reports its activities conventionally and has not maximized the existence of information technology. With this conventional method, the delivery of incident reports along the river which is their area of ​​activity is often late, the coordinates are inaccurate and confusing because they are not accompanied by visual images. The conventional pattern of submitting reports means that these reports are too late to be followed up by the relevant agencies and are often simply overlooked. To answer the problems mentioned above, the author conducted research by developing an E-Report application based on Android mobile application using the prototyping method. Currently, there are already several similar complaint applications, but they are not specific to problems that exist along the river flow. The form of complaints and reports in river basins has unique characteristics, where the reporter must enter certain values ​​to determine the level of urgency of the report. With this application, it is hoped that every report from River Care Communities Opak Gajah Wong can be conveyed in real time and immediately receive follow-up from the relevant agencies.
Sistem Pendukung Keputusan Penentu Ancaman Pidana Menggunakan Metode Technique For Order Performance of Similarity (TOPSIS) Muh. Surya Alda Akbar. S
Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer Vol. 4 No. 1 (2024): Maret
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/juritek.v4i1.2905

Abstract

In this era of increasingly advanced technology, all groups can easily use the Internet. This convenience is also experienced by children who access the internet and imitate contemporary things. The lack of filters for children when accessing the internet causes children to imitate bad things. This is what causes bad behavior and tends to lead to crime. Violators will be punished according to the 1945 Constitution. Indonesia is a country that upholds the law. The results of the Third Amendment stipulate that every aspect of social, state and government life must always be based on law. Therefore, individuals may be subject to fines according to applicable regulations. The trial lasted so long that the public did not know how the trial was going. Defendants arrested in criminal cases also face very lengthy trial processes. Therefore, a decision support system was built to determine the threat of punishment for criminals using the TOPSIS (Technique for Order Performance of Similarity) method. This system aims to speed up the decision-making process and become more efficient over time. This method will make decisions based on the weight values ​​determined by domain experts.
Enhancing Multi-Label Hate Speech and Abusive Language Detection on Indonesian Twitter Using Recurrent Neural Networks with Hyperparameter Tuning Handayani, Tri Pratiwi; Hilmansyah Gani
Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer Vol. 3 No. 3 (2023): November: Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/juritek.v3i3.3022

Abstract

This study investigates enhancing multi-label hate speech and abusive language detection on Indonesian Twitter using Recurrent Neural Networks (RNNs) with hyperparameter tuning. A dataset of Indonesian tweets labeled for various hate speech and abusive language categories was preprocessed through text cleaning, tokenization, and sequence padding. A baseline RNN model was initially constructed and evaluated. Hyperparameter tuning was then performed using Keras Tuner to optimize performance. The best hyperparameters identified were an embedding dimension of 32, 32 LSTM units, and a dropout rate of 0.2. The tuned model was trained and compared with the baseline. Results indicated improved precision for labels like Abusive, HS_Group, HS_Moderate, and HS_Strong, but a decline in recall and F1-scores for labels like HS_Religion and HS_Race. Overall performance metrics showed a slight decline, highlighting trade-offs in the tuning process. In conclusion, while hyperparameter tuning can enhance certain performance aspects, it also introduces complexities and trade-offs. It is recommended to use hyperparameter tuning in model optimization with careful consideration of application requirements. Further research will explore different model architectures and additional tuning strategies for better overall performance.

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