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JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer)
Published by Universitas Merdeka Malang
ISSN : 26565722     EISSN : 2685497X     DOI : -
Core Subject : Science, Education, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Mathematics
Sistem Tenaga Generator, Distribusi Daya, Konversi Daya Listrik, Sistem Perlindungan dan Teknologi Bahan elektrik Sinyal, Sistem, dan Elektronik Pemrosesan Sinyal Digital, Pemrosesan Gambar, Sistem Robot, Sistem Kontrol dan Sistem Embeded Sistem komunikasi Telekomunikasi, Komunikasi Nirkabel dan Jaringan Komputer Teknologi Informasi Rekayasa Perangkat Lunak, Penambangan Data Multimedia, Komputasi Bergerak, Komputasi Paralel / Terdistribusi, Inteligensi Buatan, Grafik Komputer dan AR / VR Aplikasi Sains Instrumentasi, Matematika, Fisika, Teknologi Geologi, Kimia, Pendidikan Sains dan Teknologi Kesehatan atau Biomedis.
Arjuna Subject : -
Articles 103 Documents
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Sistem Informasi Geografis Pemetaan Museum Di Bali Berbasis Android Nyoman Renata; Nyoman Yudi Anggara Wijaya; Ida Bagus Kresna Sudiatmika
JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Vol 2, No 2 (2020): Desember 2020
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jasiek.v2i2.4904

Abstract

A museum is an institution that maintains and exhibits a collection of objects of cultural and scientific value for research, educational and entertainment purposes. The purpose of the creation of the museum is a means of educational tourism, interesting and informative for society. Thus, the museum plays a very important role because the existence of the museum will provide a broad understanding for the community. But here the problem is the lack of comprehensive information about Bali's museums, especially museums that are rarely visited by tourists. So that people only know about famous museums. With this Android-based Bali Museum Map Information System, it can help both the public and tourists to find information about museums in Bali, ranging from well-known or frequently visited museums to rarely visited museums. The existence of this information system also helps to find information about the history of the museum, its location and the history of the existing collections in each museum. The method used in this study uses the prototype method, where every process that we have tested the user to what we are doing, met the user's expectations.
Desain dan Analisis Pengaruh Parameter PI pada Sistem Kontrol Posisi Prototype Kendaraan Listrik Yogga Samekto Utomo; Fatkhur Rohman
JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Vol 2, No 2 (2020): Desember 2020
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jasiek.v2i2.4646

Abstract

In electric vehicles using autonomous technology, some use gyroscope and accelerometer sensors to determine the vehicle's position. The two sensors work together to detect vehicles by reading the vehicle's position relative to gravity and horizontal and vertical acceleration, and the reading result can help the controller determine which direction the BLDC motor is rotating. However, if there are problems with both sensors, it may cause the program to run incorrectly or the vehicle may not function properly. The results of the conducted studies show that by changing the value of PI, it is possible to change the response of the position control system on the prototype electric vehicle, especially to the parameters of resistance to overshoot and steady-state error. In the rise time stability parameter, changes in the value of the PI constant and changes in the load do not have a significant effect. In this study, the values Kp = 2 and Ki = 18 showed the best results for all values of the system stability parameter. For example, the lowest error value for steady-state error and overshoot, and the most stable rise time value even when the load changes.
Desain dan Analisis Pengaruh Respon Kontrol Posisi Motor terhadap Sistem Pengaman Arus serta Tegangan pada Kontroler Motor BLDC Rendi Setiawan Norardi; Fatkhur Rohman Rohman
JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Vol 3, No 1 (2021): JUNI 2021
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jasiek.v3i1.4546

Abstract

Pengguanaan motor BLDC saat ini semakin banyak terutama di Indonesia. Efisiensi tinggi dari motor induksi, dimensi elektronik yang ramping, sistem sensor serta kontrol menjadi keunggulan. Salah satu kedala dari penggunaan motor BLDC masih sedikit pengembangan sistem kontroler motor BLDC. Kontroler menjadi sistem utama untuk menjalankan motor BLDC. Selain itu kontroler membutuhkan sistem pengaman untuk mencegah kesrusakan. Tujuan dari penelitian ini menganalisis serta mempelajari sistem pengaman arus dan tegangan pada kontroler untuk meminimalisir kerusakan. Metode pengambilan data pada penelitian ini dengan mengambil sampel nilai arus dan tegangan tertinggi di setiap variasi kontrol posisi pada kontroler Odrive dan variasi beban pada purwarupa kendaraan listrik. Hasil penelitian dengan motor BLDC Dys2826 1400kv menunjukkan bahwa tidak ada pengaruh signifikan variasi kontrol posisi terhadap arus daan tegangan dari jarak 1 sampai 5 meter. Sedangkan variasi beban berpengaruh  terhadap nilai arus dan tenganan pada beban 1 sampai 5 kilogram. Hal tersebut disebabkan karena motor membutuhkan arus yang besar ketika mempertahankan posisi pada mode kontrol posisi.
RANCANG BANGUN ALAT PENDETEKSI SUARA, GETARAN DAN IMAGE TANK MENGGUNAKAN ARTIFICIAL NEURAL NETWORK Iswono H. R.; Eko Kuncoro; Imam Ashar
JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Vol 3, No 1 (2021): JUNI 2021
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jasiek.v3i1.3956

Abstract

In this study, the created tool uses a camera to capture images of the tanks that will be detected and uses sound and vibration sensors to collect data on vibrations and sounds caused by objects, which will later be displayed in the visualization application. Based on the description that has been explained about the benefits of using radar and research related to the implementation of radar that can be developed in the military world, namely the development of sound, vibration and image detection equipment using artificial neural networks.
IMPLEMENTASI VISUALISASI PENDETEKSI TANK BERBASIS ANDROID Indar Jaya Ismail; Imam Azhar; Desy Derius Minggu
JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Vol 3, No 1 (2021): JUNI 2021
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jasiek.v3i1.3965

Abstract

Tanks are armored fighting vehicles used to support cavalry troops in combat. Tank maneuvers on the battlefield are always a matter of caution, as tanks have the punching power and firepower that can wreak havoc on enemy concentration. Thus, the direction of the tank's arrival is always the dominant factor that must be known or detected from the outset. When conducting reconnaissance, personnel are still used to monitor the area of arrival of tanks. Conditions in this reconnaissance require greater concentration, manpower and logistics. Analysis of detection means in the form of sensors is usually implemented only on computer media. However, with the development of mobile technology, the implementation of a detection tool requires a visualization application to display information about an object. This application can be implemented using a smartphone, because when using a smartphone, the application can run on Android Using the KNN method
Analisis Kesiapan Penerapan E-learning di Sekolah Dasar Menggunakan E-learning Readiness Model: Studi kasus Madrasah Islamiyah Darwata Karangasem Mirza Ali Arsyad; Yudha Saintika; Resad Setyadi
JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Vol 3, No 1 (2021): JUNI 2021
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jasiek.v3i1.5969

Abstract

In 2020, the world was shocked by the covid-19 virus, which has spread to all countries of the world, including Indonesia. In education, almost all schools in Indonesia have been forced to close by the government and replaced with distance learning. However, in many schools there are obstacles such as the inability of teachers and students to use technology. One of the problems in Islamiya Darwata Karangasem Madrasah. The purpose of this study was to determine the relationship between environmental, teacher, technology and student readiness and provide recommendations for schools to be more prepared to implement distance learning. The method used in this study is a descriptive analysis with an e-readiness model. The sample in this study consisted of 52 students and 9 teachers. The results showed that an overall ELR score of 3.62288 was included in the readiness category, but needed some improvement. The teacher had a score of 3.79167, which was classified as readiness, but needed some improvement. , which was included in 64814, is categorized as finished but needs work, and the technology is rated 3.48148, which means it's ready but needs a little improvement. By improving school internet speeds, evaluating student learning, providing new policies, changing individual perspectives, and increasing budgets.
RASPBERRY PI SEBAGAI STORAGE VERSION CONTROL SYSTEM TUGAS MAHASISWA POLITEKNIK NEGERI MALANG Rifki Hari Romadhon; Nugroho Suharto; Aad Hariyadi
JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Vol 3, No 1 (2021): JUNI 2021
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jasiek.v3i1.7793

Abstract

File transfer technology is now beginning to develop rapidly, many researchers have begun to develop file transfer methods, now file transfer is present in daily life in various ways. For example, in human life there are many more uses of flash memory for the process of moving files. This makes it risky to get a virus from another computer or laptop that results in file loss. In this study, we are developing a file transfer that can simultaneously manage the user to apply file version control so that the file is still written to the repository and has its own version of each uploaded file. It is hoped that implementing a version control system will help students keep all files in the repository they are working on and make changes to each file. It is expected that this study will help provide an alternative to assessment by each faculty member and may speed up and facilitate decisions related to student assessment at Malang State Polytechnic Institute. The results of this study show that the file transfer QoS on the polynema network has a packet loss value of 0%, latency of 0.672ms (download) and 0.447ms (upload), and a throughput of 330 kbps (download), 544.50 (upload)
IMPLEMENTASI ALGORITMA DECISSION TREE UNTUK MENGKLASIFIKASI KONDISI KESUBURAN PRIA Arif Amrulloh; Adityo Permana Wibowo
JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Vol 3, No 1 (2021): JUNI 2021
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jasiek.v3i1.3119

Abstract

Tingkat kesuburan atau Fertility merupakan hal penting dalam proses melanjutkan keturunan pada pasangan suami istri. Beberapa penelitian menyatakan bahwa banyak faktor yang mempengaruhi seperti hormon, penyakit bawaan, tindakan operasi, konsumsi alkohol dan merokok. Untuk mengetahui faktor apa saja yang paling berpengaruh perlu dilakukan penelitian dalam hal tersebut. Decission tree merupakan salah satu metode yang dapat digunakan untuk mengklasifikasi dan memprediksi karena memiliki kemudahan dalam interpretasi hasil.  Klasifikasi dapat mengetahui faktor apa saja yang paling berpengaruh terhadap tingkat kesuburan atau fertility sehingga dapat digunakan sebagai acuan untuk merubah pola atau kebiasaan sehari-hari. Pelatihan dan pengujian disimulasi menggunakan applikasi Rapidminer dengan hasil akurasi 88% untuk pelatihan dan 92% untuk pengujian.  
Cover Jasiek VOL.3 NO. 2 Desember, 2021 Editor Jasiek
JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Vol 3, No 2 (2021): DESEMBER 2021
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

        Daftar Isi:Implementasi Warning Light pada Robot Beroda untuk Membantu Penyeberangan Anak SekolahWahyu tara Dirgantara, Abd. Rabi'Sistem Otomatis Penggerak Lesan Tembak Untuk Latihan Teknik Tempur Cepat Dengan Metode PIDSandhya Sabila, Puput dani Prasetyo adi, Subairi subairi, M BaidlowiSistem Alat Pendeteksi Detak Jantung, Suhu Tubuh dan Tekanan Darah dengan Metode PID (Propotional Integral Derivative)Yovi Afriansyah, Rahman Arifuddin, Yunus NovriantoSistem Monitoring dan Pengisian Daya Baterai Pada Sepeda Motor Listrik Secara AdaptiveWilibrodus Wanggur Mboi, Nachrowie Nachrowie, Yandhika Surya Akbar Gumilang, Resi Dwi Jayanti Kartika SariImplementasi Pengamanan Sistem Informasi Personel Berbasis WebsiteResti Indah Paramita Sari, Anggraini Puspita Sari, Gatut Yulisusianto
Prediksi Curah Hujan Wilayah Provinsi Yogyakarta dengan Algoritma Neural Network rubangi rubangi; Arief Hermawan; Donny Avianto
JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Vol 3, No 1 (2021): JUNI 2021
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jasiek.v3i1.6204

Abstract

Emerging inaccurate information about the rainfall system can affect aspects of life. Inaccurate precipitation forecasting can be problematic, so it is necessary to predict precipitation with a high level of accuracy. Therefore, this study proposes a method with a neural network algorithm to predict rainfall to benefit the community. The data used in this study is daily precipitation from 2016 to 2021 from BMKG. Based on the test results, the data shows that the best neural network (NN) model is obtained from input layer 31, hidden layer 4, training cycle 1500, learning rate 0.01, and momentum 0.9, resulting in an error of 0.828. Based on the results with the smallest error, using the neural network method can be used to predict future precipitation with good accuracy.

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