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INDONESIA
Jurnal Penelitian Rumpun Ilmu Teknik
Published by Politeknik Pratama Purwokerto
ISSN : 29638178     EISSN : 29637813     DOI : 10.55606
Core Subject : Science, Engineering,
Computer Science & IT Engineering
Sistem Komputer / Teknik Komputer Sistem Informasi Teknik Perangkat Lunak Teknologi Informasi Teknik Informatika / Ilmu Komputer Bidang-bidang lainnya yang termasuk ke dalam rumpun ilmu tersebut.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 221 Documents
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Pembangunan Sistem Informasi Wirausaha Mahasiswa (Siwirma) Berbasis Web Kaleb Endless Fidel; Muchammad Ardhian Wicaksono; Andi Setiawan
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 2 No. 4 (2023): November : Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v2i4.2905

Abstract

Marketplace is a place where sellers and buyers meet online, which has several benefits, including expanding the network and increasing sales, especially for small and independent businesses with medium to low capital. Included in the category of micro, small, and medium enterprises (MSMEs) are businesses carried out by student groups. Students who have no experience in entrepreneurship need to receive direction that they have independent business opportunities, and those who are currently running entrepreneurship need to know the factors that influence entrepreneurial success and train skills for success. Marketing and sales factors are among several important factors that influence entrepreneurial success. Based on this background, the student research team will develop a marketplace information system for student business units both within the Semarang Institute of Technology and Business campus and outside the campus, named the Sistem Informasi Wirausaha Mahasiswa (Siwirma).
Perancangan Sistem Informasi Wirausaha Mahasiswa (Siwirma) Berbasis Web dengan Unified Modelling Languange (UML) Annisa Tri Hidayati; Aditya Eka Widyantoro; Hertas Jelang Ramadhani
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 2 No. 4 (2023): November : Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v2i4.2906

Abstract

The construction or development of an information system or application cannot be separated from the system design process. The system design process is one part or stage of system development. The software development process (software) models and methodologies for software development are called the Software Development Life Cycle (SDLC). There are several SDLC models that can be used, one of which is the waterfall model. The waterfall model has the advantage of engineering practicality, which can ensure the quality of the software being built is maintained, the stages are complete so that the software maintenance process is easier to carry out, it has a logical structure, conceptual errors can be avoided, technical documentation is complete, system development progress can be monitored, and estimates of total costs are relatively accurate. The resulting system design also needs to be documented, for example, using Unified Modeling Language (UML). UML makes it easy to develop systems or software. With UML, developers can find out the system flow that users expect. Based on the advantages of the UML model, in designing the Student Entrepreneurial Information System (Siwirma) that will be built or developed, the conceptual design process uses the UML model.
Penerapan Metode K-Medoids untuk Menentukan Status Gizi Balita di Puskesmas Dermayu Alon Santoso; Indra Kanedi; Deri Lianda
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 2 No. 4 (2023): November : Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v2i4.3008

Abstract

The nutritional condition of children under five is one of the parameters of the state of public health in each region. Good nutrition in toddlers has an important influence on normal growth, physical development and intelligence in children, with good nutrition the body is not easily attacked by disease, infection, and is protected from chronic diseases. So there is a need for a system to find out the nutritional status of toddlers in a region as a source of information. input for the government and policy holders in the field of public health to prevent and overcome malnutrition in children under five.This research applies data mining for clustering the nutritional status of toddlers at the Dermayu Community Health Center using the K-Medoids algorithm method. This research method uses the waterfall method.Based on the results of this research, the nutritional status values of toddlers at the Dermayu Community Health Center can be clustered using the K-Medoids algorithm through two parameters: Toddler Weight (BB) and Toddler Height (TB), which are divided into 5 clusters, namely obesity, over nutrition, good nutrition, malnutrition and malnutrition to help the performance of community health centers and parents of toddlers in early handling of toddlers' nutritional conditions. From these results, it is known that there are still 30% of toddlers who are obese and 11% of toddlers who are malnourished, so there is a need for assistance from the relevant health centers for parents of toddlers so that the number of toddlers who are malnourished can decrease in the following year.
Rancang Bangun Prototype Sistem Informasi Pipe Reporting Berbasis Web pada SKK Migas Rini Andriani; Samuel Anaya Putra Zai; Sindy Fitriani Margaret Sihaloho
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 2 No. 4 (2023): November : Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v2i4.3016

Abstract

This research aims to develop an information system for 2 types of web-based Pipe Reporting, namely PVC Pipe Report and Steel Pipe Report which meets SKK Migas' needs in pipe data management. SKK Migas, as an institution managing oil and gas activities, requires an efficient and integrated solution for tracking, reporting and analyzing pipeline-related information. The proposed system is designed with a focus on ease of use, accessibility, and data reliability. The system development approach uses web-based technology to facilitate access from various locations. This research includes in-depth requirements analysis stages, measurable system architecture design, and prototype implementation. The success of the system is measured through increased efficiency in the pipeline data reporting, monitoring and analysis processes. It is hoped that the results of this research will not only meet SKK Migas' needs directly, but can also become a basis for developing similar systems in the oil and gas industry more broadly.
Implementasi Algoritma Random Forest Dalam Klasifikasi Diagnosis Penyakit Stroke Ary Prandika Siregar; Dwi Priyadi Purba; Jojor Putri Pasaribu; Khairul Reza Bakara
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 2 No. 4 (2023): November : Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v2i4.3039

Abstract

The most common disease in Indonesia is stroke, this disease occurs when blood flow to the brain is disrupted, either due to rupture of blood vessels or due to blockage of blood vessels. The data mining process can be a solution in identifying early symptoms of stroke. By using the Random Forest Method, it is hoped that it can be the right choice for preprocessing data in identifying early symptoms. The model results produce an adjustment of 96% of the training score and from the results table of precision, recall, F1-score, and accuracy which results in an accuracy of 0.95 or 95%, as well as the final result of AUC of 0.80 which shows that the model results are included in the good classification  
Penerapan K-Nearest Neighbors (KNN) dalam Memprediksi dan Menghitung Akurasi Data Penyakit Stroke Atika Haura Siregar; Asri Angel Tumanggor; Akhwan Rahmadani
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 2 No. 4 (2023): November : Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v2i4.3040

Abstract

Stroke is a disease characterized by a disruption in brain function caused by a lack of oxygen and blood flow to the brain, affecting various brain functions and causing difficulties in performing activities. The classification of stroke patients is still based on medical records that are not integrated, leading to a longer time for detection. The K-Nearest Neighbors (K-NN) algorithm is a part of machine learning that can be utilized to classify cases, including the classification of stroke patients. K-NN serves as the algorithm to determine classes and incorporate new data inputted in the specified format. In this study, the researcher aims to demonstrate that the classification algorithm of K-Nearest Neighbor with Bagging optimization can be used to determine if someone is affected by stroke. The predictions from this algorithm can facilitate decision-making in the healthcare field quickly.
Analisis Daya Mengunakan EGX300 Di PT. Tiga Kreasi Indonesia Deni Exka Saputra; Endi Permata
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 3 No. 1 (2024): Februari : Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v3i1.3073

Abstract

Monitoring EGX300 is to provide a screen display to view real-time data and trends with historical data records, real-time data pages that provide basic readings from selected devices in real time. This study aims to analyze the components of the EGX300, find out how to use the EGX300, find out the value of the load current, find out the value of electric power, find out the phase to phase voltage value, and find out the phase to neutral voltage value. The methods used by the author in this research are (1) observation (2) interview (3) literature study. The results of this study, namely the EGX300 component test, are the incoming load current of 4.689A, the maximum load current of 540.884A. In real power, the minimum value is -352.6KW, the incoming value is 3.2KW and the maximum value is 119.1KW. At the minimum apparent power of 00.0KVA, the entry value is 3.5KVA, and the maximum value is 377.2KVA. In phase to phase Voltage is Voltage Vab worth 388V, phase AB obtained a minimum value of 386.7V and a maximum phase AB of 385.1V, Voltage Vbc is worth 383.9V, phase BC obtained a minimum value of 383.2V and a maximum phase BC value of 385.9V and Voltage Vca is worth 378.8V, phase CA obtained a minimum value of 388.7V. In the phase to neutral voltage, Van is worth 223.6V, Voltage A-N, the minimum value is 218.9V and the maximum value of Voltage A-N is 225.8V, Voltage Vbn is worth 226.1V, Voltage B-N, the minimum value is 225.5V and the maximum value of Voltage B-N is 229.1V and Voltage Vcn is worth 221.5V, Voltage C-N, the minimum value is 220.6V and the maximum value of Voltage C-N is 225.2V
Pemeliharaan Pentanahan Pada Tower Transmisi Milik PT PLN Persero ULTG Cikupa Rahima Mahabbah; Endi Permata; Legista Romadhoni Mardillah
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 2 No. 4 (2023): November : Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v2i4.3082

Abstract

Transmission lines are a medium used to transmit electrical energy from generators to consumers who use electricity. One of the components for delivering electric power is the SUTT and SUTET towers. This air duct tower uses a grounding system to protect the tower from external and internal disturbances. One of the disturbances is lightning strikes whose resistance is very large, if a grounding system is not installed it will damage tower components or equipment. The grounding system works to channel the voltage from lightning directly to the earth. The grounding system needs regular maintenance because it is very important to protect the components on the tower in the event of a lightning strike. The maintenance carried out is by measuring the grounding resistance value according to PT PLN standard rules, namely 70 kV transmission network towers are less than or equal to 5 ohms, for 150 kV it is less than or equal to 10 ohms and for 500 kV it is less than or equal to 15 ohm. And maintenance uses drones to see the condition of the GSW (Ground Steel Wire) cable from a height.
Penerapan Metode CNN (Convolutional Neural Network) Dalam Mengklasifikasi Jenis Ubur-Ubur Sandy Andika Maulana; Shabrina Husna Batubara; Tasya Ade Amelia; Yohanna Permata Putri Pasaribu
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 2 No. 4 (2023): November : Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v2i4.3084

Abstract

The purpose of this research is to apply the Convolutional Neural Network (CNN) method to classify various types of jellyfish. Jellyfish as sea creatures have a variety of shapes and sizes. This research includes data acquisition, data pre-processing, classification, and evaluation. The Keras Sequential model was chosen to implement the CNN model in this study. The results of the study showed an accuracy rate of 87%. In addition, the CNN model training accuracy rate reached 0.9037 with a loss value of 0.2097, while in CNN model testing, the accuracy rate reached 0.7944 with a loss of 0.5228.
Analisis Sentimen Aplikasi PLN Mobile Menggunakan Metode Decission Tree Ihsan Zulfahmi
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 3 No. 1 (2024): Februari : Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v3i1.3096

Abstract

This study utilizes Twitter data to understand user opinions and emotions towards an application. The Decision Tree method was chosen due to its ability to describe the relationship between input variables and the target. The TF-IDF method was used to weight words in the text, and the confusion matrix was used to evaluate the accuracy of the classification model. The research included the research process flow, data preprocessing, and data modeling. Word cloud visualization was used to display the frequency of words in the text. Data was collected from Twitter using Python and the Tweepy library. After preprocessing, the data was categorized into positive, negative, and neutral labels. The evaluation results using the decision tree algorithm showed an accuracy of 96%. The word cloud revealed that the word "aplikasi" (application) has the highest frequency, which shows the importance of the PLN Mobile application but also shows the need for further development. This study provides insights into user sentiment towards the PLN Mobile application and demonstrates the effectiveness of the Decision Tree method in sentiment analysis

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