cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Tri Rahayu
Contact Email
indexsasi@apji.org
Phone
+6288228645740
Journal Mail Official
indexsasi@apji.org
Editorial Address
Perum. Bumi Pucang Gading, Jl. Watu Nganten 1 No. 1-6 Desa Batursari Kec. Mranggen, Jawa Tengah
Location
Kota semarang,
Jawa tengah
INDONESIA
Teknik: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer
Published by Pusat Riset dan Inovasi Nasional
ISSN : 28099095     EISSN : 28099125     DOI : 10.55606
Core Subject :
Teknik: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer diterbitkan Pusat Riset dan Inovasi Nasional, terbit setahun Tiga kali (Maret, Juli dan November) menerapkan proses peer-review dalam memilih artikel berkualitas berdasarkan penelitian ilmiah dan teoritis. Ruang lingkup Jurnal Teknik meliputi bidang Informatika, Teknik Mesin, Teknik Elektro, Sistem Informasi dan Teknik Industri.
Arjuna Subject : -
Articles 193 Documents
 4   5   6   7   8 
IMPLEMENTASI METODE TF-IDF DAN ALGORITMA NAIVE BAYES DALAM APLIKASI DIABETIC BERBASIS ANDROID I Wayan Alston Argodi; Eva Yulia Puspaningrum; Muhammad Muharrom Al Haromainy
Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 3 No. 2 (2023): Juli : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/teknik.v3i2.2009

Abstract

Diabetes is a serious disease that occurs when the pancreas does not produce enough insulin as a hormone that regulates blood sugar in the body. This disease also has an impact on health. This research builds an Android-based application called Diabetic to help classify and provide information related to diabetes and analyze the performance of the Term Frequency Inverse Document Frequency method and the Naive Bayes algorithm. The Term Frequency Inverse Document Frequency method is a technique for calculating the presence of words in a collection of documents by creating document vectors. The Naive Bayes algorithm is an algorithm that uses probability to solve a classification case. This algorithm has an efficient and fast calculation. Based on this research, it is known that the Naive Bayes Algorithm produces an accuracy of 66% by taking a computation time of 39 seconds with a memory consumption of 80 to 351 mb.
Penggunaan Algoritma Apriori untuk Data Mining Penjualan Sepatu Brand Lokal Wiwid Wahyudi; Rivoldy Bintang Daya; Irdha Yunianto
Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 3 No. 2 (2023): Juli : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/teknik.v3i2.2031

Abstract

Penggunaan Data Mining pada Penjualan Sepatu Brand Lokal Menggunakan Algoritma Apriori merupakan sebuah penelitian yang bertujuan untuk menggali bagaimana data mining dapat digunakan untuk meningkatkan penjualan sepatu brand lokal. Penelitian ini menerapkan algoritma apriori untuk analisis data penjualan sepatu brand lokal dan menemukan pola yang membantu meningkatkan penjualan. Hasil penelitian ini menunjukkan bahwa dengan penerapan algoritma apriori dapat dijelaskan pola belanja agar berguna untuk penjualan sepatu brand lokal, seperti kombinasi produk yang sering dibeli bersama pelanggan atau waktu terbaik untuk menjual produk tertentu. Selain itu, penelitian ini juga mengungkapkan bahwa dengan menggunakan data mining, perusahaan dapat mengelola persediaan secara lebih efektif dan meramalkan permintaan pasar, sehingga dapat meminimalkan penjualan yang hilang dan meningkatkan keuntungan.
Aplikasi Pembelajaran Bahasa Inggris Untuk Anak Usia Dini Berbasis Android Oktaviani Oktaviani; Endah Kurniasari; Dheana Miralda
Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 3 No. 3 (2023): November : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/teknik.v3i3.2407

Abstract

Interesting learning methods can increase children's interest in learning, especially young children. Learning methods using applications on computers, tablets and smartphones are starting to be created according to user needs. One of the Android-based applications that will be created is an English learning application for early childhood. This application consists of a main page which contains material choices, a material page which contains illustrated objects, and a quiz page which is a form of evaluation to train children's memory. The research method for making this application uses the System Development Life Cycle (SDLC). Starting with planning an overview of the application, analysis, design using Unified Modeling Language (UML), designing the application interface, to creating the application using Android Studio. Testing of the applications that have been created is carried out on several Android-based smartphone devices. The results achieved are that this Android application is able to function well and can be used as an English learning medium for young children.
Analisis Sentimen Ulasan Pada Aplikasi E-Commerce Shopee Dengan Menggunakan Algoritma Naïve Bayes Rahel Lina Simanjuntak; Theresia Romauli Siagian; Vina Anggriani; Arnita Arnita
Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 3 No. 3 (2023): November : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/teknik.v3i3.2411

Abstract

Every year, the e-commerce industry in Indonesia grows and develops at a rapid pace. In Indonesia, many online marketplaces have sprung up, including Tokopedia, Lazada, and Shopee. People are very interested in all e-commerce companies because they are hassle-free and instant. Among the most famous is Shopee, which offers a wide range of services and also presents a ratings and reviews column. This feature allows users to express their feelings about Shopee. Based on the information gathered from previous user comments, consumers can use these ratings to identify and trust both excellent and negative recommendations of the app they want to use. Sentiment analysis results include both favorable and negative user reviews by scoring, classifying, and filtering viewpoints to help businesses or users. The author uses the naïve bayes algorithm in this research. The Naïve Bayes Classifier approach will be used in this research to perform sentiment classification. The author then uses associations between frequently discussed word terms or themes that are related to each other for the extraction and exploration process, as well as descriptive statistics. Naïve Bayes Classifier is a binary classification technique that applies Bayesian principles with a strong assumption of independence, utilizing simple statistical probabilities.
Laporan Akhir Kerja Praktik (KP) Aplikasi Surat Perintah Perjalanan Dinas Di UPTD PPD Medan Utara Bapenda Provsu Intan Nur Rafiqah; Fauzan Maulana Lubis; Muhammad Ikhsan
Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 3 No. 3 (2023): November : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/teknik.v3i3.2429

Abstract

The Regional Revenue Agency (BAPEDA) is a government operational support component that carries out financial support tasks in the field of regional income. The author conducted a study of the official travel system while working practically, and at the UPTD PPD North Medan Bapenda PROVSU Medan produced an official travel order application. The author's aim in carrying out this practical work is to support the personnel department in the process of updating employee data including data entry and output. Assist in verifying car number plates and payment of vehicle tax that has just been registered on the e-Samsat application via the website with the branch office. Assist in preparing official travel orders and vehicle transfer reports. After a month of direct practice, the author found many incidents where after discussing with agency superiors, the author discussed the issue of Official Travel Orders (SPPD). The agency will use an inefficient and time-consuming system to handle future cases. because getting permission for official travel requires you to personally navigate a protracted bureaucracy. Therefore, the author used the skills he acquired in college to create an official travel booking system for an agency based on a website, making it easier for the department employees who handle it to obtain permits via the internet only. It can be concluded that students gain new information and experience through practical work that they would not get from face-to-face lectures. A clear picture of the overall scope of activities of an agency is provided through practical work. Additionally, practitioners receive training on how to perform their work with care, diligence, and analysis.
Sistem Pakar Diagnosis Penyakit Kulit Pada Manusia Dengan Metode Naïve Bayes Menggunakan Shiny Muhammad Hidayatullah; Hanif Rahmat; Retno Mayapada
Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 3 No. 3 (2023): November : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/teknik.v3i3.2444

Abstract

Skin is the outermost part of the body's organs which is very susceptible to being influenced by the environment. Besides environmental factors, behavior and lifestyle could also be the cause of skin diseases. An expert system for diagnosing skin diseases can help patients determine the diagnosis of the disease they are suffering from based on the symptoms they feel more efficiently. This system can also provide early detection to patients so that the disease suffered by them can be treated quickly. This research develops a website-based expert system for diagnosing skin diseases in humans using the Naïve Bayes Classifier (NBC) method. The expert system in this research was developed using Shiny Package in R Programming with 10 types of disease and 26 symptoms data. The results of this research show that the expert system has been successful in diagnosing human skin diseases.
Komputerisasi dalam Pengelolaan Sekolah di SMP Swasta Pahlawan Nasional Adelia Fitri; Tarmiji Siregar
Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 3 No. 3 (2023): November : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/teknik.v3i3.2458

Abstract

In this digital era, the application of technology is important for the education sector. Without the help of technology, school administrative activities such as student data collection and learning achievement reports must be done manually by educators, thereby reducing the efficiency of learning activities. Therefore it is necessary to have a computer that can assist educators in managing schools and student data collection. A computer is an automatic electronic device that can calculate or process data carefully according to instructions and provide processing results, usually consisting of an input unit, an output unit, a storage unit, and a control unit. In a school computer is useful for managing and managing school management.
Komparasi Algoritma KNN dan SVM dalam Memprediksi Penyakit Stroke Rahel Lina Simanjuntak; Rizki Agung Ramadhan; Theresia Romauli Siagian; Vina Anggriani
Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 3 No. 3 (2023): November : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/teknik.v3i3.2474

Abstract

Stroke is a serious medical condition that affects many people around the world. The ability to predict a person's stroke risk can help in effective prevention, treatment and care. In this study, a comparison between the K-Nearest Neighbors (KNN) and Support Vector Machine (SVM) algorithms was conducted to predict stroke risk. The KNN algorithm is a method that searches for the nearest neighbors among the data points to be predicted and assigns the most common label among its neighbors. Experimental results show that both KNN and SVM can provide fairly accurate stroke predictions. However, from an operational point of view, SVM consistently performed better than KNN in terms of accuracy and precision. This research provides insight into the differences between KNN and SVM algorithms in the context of stroke prediction. The results can provide guidance for researchers and practitioners in choosing the right algorithm to predict stroke risk based on the characteristics of the available datasets.
Implementasi Framework ITIL v3 Domain Service Strategy Dalam Perancangan Layanan Helpdesk Pada Jurusan Administrasi Bisnis Politeknik Negeri Sriwijaya Bangga Surya Nagara; Tata Sutabri
Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 3 No. 3 (2023): November : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/teknik.v3i3.2482

Abstract

Improving service efficiency and system management has become a major focus in the higher education environment, especially in the context of helpdesk services. This research explores the application of ITIL v3 (Information Technology Infrastructure Library) Framework in the development of helpdesk services at the Business Administration Department at Politeknik Negeri Sriwijaya. The research method used is a qualitative approach with in-depth interviews with IT staff, lecturers, and students. The analysis results highlight the implementation of ITIL v3 modules such as change management, capacity management, and service management as a foundation for improving the quality of helpdesk services. The implementation of ITIL v3 Framework has brought significant impact in improving service responsiveness, reliability, and efficiency. The results of this study provide an in-depth understanding of the benefits of implementing the ITIL v3 Framework in the context of higher education, especially in the Business Administration department at Politeknik Negeri Sriwijaya.
IOT Pada Purwarupa Sistem Keamanan Pintu Kantor Dengan Sensor RFID dan PIR Berbasis Telegram Suci Br Kembaren; Elsadora Haroannauli Patricia Br Gurning; Any Kurniawaty Yapie
Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 3 No. 3 (2023): November : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/teknik.v3i3.2510

Abstract

The proposed office door security system combines RFID (Radio-Frequency Identification) Sensor and PIR (Passive Infrared) Sensor technology with Telegram-based communication. The design of this system requires RFID and PIR sensors to be formed in order to produce a system design that is made to meet the needs of system users. The aim of this system is to increase the security level of access to office space by combining identification of access owners via RFID cards and motion detection using PIR sensors. Communication through the Telegram platform is used to provide real-time notifications to access owners when there is activity at the office door. The control system for this device is controlled by the Esp32 Microcontroller, using 4 inputs, namely Rfid, PIR, Keypad and telegram sensors, as well as 5 outputs, namely Selenid Doorlock, Buzzer, LCD, Relay and telegram. By using the esp32 microcontroller to process data and the telegram application for IoT as a link between devices and smartphones. With 2 sensors as logic inputs for the esp32 microcontroller, the number of outputs that occur is 5, namely in the form of a sound from a buzzer as a warning, and a PIR as a sensor to open the door from the inside. When opening the RFID with a card tag, then the selenoid doorlock will open. Overall, the design of this office door security system has the potential to improve security and monitoring in the office space. By combining the technology of RFID sensors, PIR sensors and Telegram-based communication, this system enables accurate identification, real-time motion detection and fast interaction between the security system and the access owner. So that Telegram is successful in sending notifications if someone enters, that is, they will appear. "User Name Open Door: according to the registered UID", but if it fails "Unregistered User Failed Login Attempt" The LCD will also issue an output if someone has registered their RFID tag or not

Page 6 of 20 | Total Record : 193

 4   5   6   7   8 

Filter by Year

2021 2026


Reset
Filter By Issues
All Issue Vol. 6 No. 2 (2026): Juli : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 6 No. 1 (2026): Maret : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 5 No. 3 (2025): November : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 5 No. 2 (2025): Juli : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 5 No. 1 (2025): Maret : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 4 No. 2 (2024): Juli : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 4 No. 1 (2024): Maret : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 3 No. 3 (2023): November : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 3 No. 2 (2023): Juli : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 3 No. 1 (2023): Maret : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 2 No. 3 (2022): November : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 2 No. 2 (2022): Juli : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 2 No. 1 (2022): Maret : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 1 No. 3 (2021): November : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer (TEKNIK) Vol. 1 No. 2 (2021): Juli : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 1 No. 1 (2021): Maret : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer More Issue