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Gedung Universitas Prima Indonesia Fakutas Teknologi dan Ilmu Komputer Program Studi Teknik Informatika Jl. Sekip Simp.Sikambing, Sei Putih Tim. I, Kec. Medan Petisah, Kota Medan, Sumatera Utara 20111
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JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP)
Published by Universitas Prima Indonesia
ISSN : 2621234X     EISSN : 2621234X     DOI : doi.org/10.34012
Core Subject : Science,
Computer Science & IT
JuTIKom PRIMA(Jurnal Teknologi dan Ilmu Komputer Prima) adalah jurnal yang di fokuskan Terhadap bidang ilmu Teknologi dan Ilmu Komputer. Tujuan jurnal adalah untuk mengakomodir para dosen dan mahasiswa baik dalam lingkungan kampus Universitas Prima Indonesia maupun dari kampus berbeda jurnal ini menerbitkan artikel berkualitas yang didedikasikan untuk semua perkembangan terbaru yang luar biasa di bidang teknik informatika. Ruang lingkupnya mencakup : Visi Komputer; Pembelajaran Mesin; Data Mining; Analisis Big Data; Pemrosesan Bahasa Alami, Sentimen Analisis, Sosial Media Analisis; Kecerdasan Robotik; Kecerdasan Buatan; Pemrosesan Gambar dan Pengenalan Pola; Keamanan Komputer; Interaksi Komputer Manusia; Intelijensi Bisnis
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 126 Documents
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ANALISIS PELAYANAN RUMAH SAKIT UMUM DENGAN PERBANDINGAN ANTARA METODE ALGORITMA KMEANS, DAN K-MEDOIDS CLUSTERING Christnatalis -; Eric Claudyo; Lucky -; Herry Kristover Manullang; Arus Iman Zebua
JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Vol. 6 No. 2 (2023): Jutikomp Volume 6 Nomor 2 Oktober 2023
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jutikomp.v6i2.4145

Abstract

Hospitals are part of a health system that aims to provide comprehensive individual health services. Services include inpatient, outpatient, and emergency care. Hospitals must provide high-quality services according to existing standards and serve all levels of society. Understanding customers' needs, wants, and demands will provide Another factor that affects the quality of health services is the availability of resources and service facilities during the insurance period. Lack of continuity of service affects the efficiency and quality of the relationship. The quality of health services is also strongly influenced by the ease of information and timeliness of public hospital services. Based on data from 341 hospital service quality surveys, the results obtained from the K-Means algorithm method are 2.701288, while the results obtained in the K-Methoids Clustering method are 2.17, where the General Hospital service questionnaire is a very satisfied category. A comparison of the results of the K-Means and K-Medoids methods aims to make it easier to measure customer satisfaction.
ANALISIS QUALITY OF SERVICE (QOS) JARINGAN INTERNET BERBASIS WIRELESS LOCAL AREA NETWORK (WLAN) PADA PT. SAMMA JAYA PERKASA Ayudilla Laili Ramadian; Luthfi Indriyani Indriyani
JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Vol. 6 No. 2 (2023): Jutikomp Volume 6 Nomor 2 Oktober 2023
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jutikomp.v6i2.4212

Abstract

A wireless network is a set of computers that are interconnected with each other. To create a computer network, because of the many needs and communications accessed until network performance must be in good condition. When building a network, it is mandatory to consider Quality of Service (QoS). Quality of Service (QoS) is an aspect of performance that affects user satisfaction in using a service. The quality of this service is affected by network performance, including throughput, packet loss, delays, and time fluctuations (Jitter). Quality of Service (QoS) parameters consist of throughput, packet loss, delay, and jitter according to THYPON standards. At PT. Samma Jaya Perkasa for smooth work that requires an internet network. Internet service at PT. Samma Jaya Perkasa uses an Internet Service Provider (ISP) from Indihome and a rented bandwidth of 30Mbps. Therefore, measurement is needed to recognize the quality of services provided—the results of Quality of Service (QoS) measurements on the internet network of PT. Samma Jaya Perkasa can be known for its throughput of "1363.6 kbs", packet loss of "1.533%", delay of "4.92 ms", and jitter of "5 ms" until it can be concluded that the internet network at PT. Samma Jaya Perkasa for THIPON standards is included in the type of Good.
Implementasi Aplikasi Mading Berbasis Website Pada Fakultas Teknik Dan Komputer Universitas Harapan Medan Dody Hidayat; Efri Riwandi; Ramli -; Liza Fitriana
JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Vol. 6 No. 2 (2023): Jutikomp Volume 6 Nomor 2 Oktober 2023
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jutikomp.v6i2.4231

Abstract

Wall magazines called Mading are one of the simplest types of written mass communication media. It is called a wall magazine because the basic principles of a magazine are dominant in it, while its presentation is usually attached to a wall or the like. Faculty of Engineering and Computer (FTK) Universitas Harapan (UnHar) Medan has several study programs: civil engineering, mechanical engineering, electrical engineering, informatics engineering, industrial engineering, information systems, and informatics management. FTK UnHar Medan in conveying information about academic and non-academic activities to students and other parties who need it is done by posting announcements on the campus Mading board, and this makes it challenging to obtain this information because students and parties who need it must come to campus and see directly on the Mading. From these problems, a study was conducted to design a website-based Mading application. The research used literature study, data collection, analysis, design, implementation, and system testing. The conclusion obtained from the final results of this study is to produce a website-based Mading application so that students and other parties who need information submitted by the campus, especially FTK UnHar, can be obtained quickly, accurately, and not limited by time because information can be accessed 24 hours online.
Analisis Perilaku Pelanggan menggunakan Metode Ensemble Logistic Regression jeffry -; Syahrul Usman; Firman Aziz
JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Vol. 6 No. 2 (2023): Jutikomp Volume 6 Nomor 2 Oktober 2023
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jutikomp.v6i2.4258

Abstract

Customer behavior analysis is crucial for companies, especially Small and Medium Enterprises (SMEs), to make strategic decisions. Through customer behavior analysis, patterns of customer behavior in purchasing a product or service can be identified. This provides insights into preferences and the right strategies to maintain or increase customer loyalty. This research aims to analyze customer behavior using the ensemble logistic regression method. Data was collected from the company's customer database over the last 5 years. Customer behavior is characterized by gender, age, and the preferred vehicle transmission type. The ensemble logistic regression method was implemented to improve model accuracy. The results show that the ensemble technique can enhance the accuracy of the Logistic Regression method. Model accuracy significantly increased with boosting, achieving an accuracy of 76%, while the model with bagging achieved an accuracy of 75%.
Implementasi Sistem Pemilihan Agen Perubahan Pada Pengadilan Militer Tinggi I Medan Menggunakan Metode Topsis Ahmad Zakir; Febrica Hotmaulina Sitorus; Fachrul Rozi Lubis
JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Vol. 6 No. 2 (2023): Jutikomp Volume 6 Nomor 2 Oktober 2023
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jutikomp.v6i2.4294

Abstract

The Medan High Military Court I is an essential institution in Indonesia's military justice system, and change within this institution plays a crucial role in improving efficiency, accountability, and legal services. Change agents within the military justice system are crucial in improving the system, increasing accountability, and ensuring compliance with human rights principles and applicable laws. Selecting effective change agents at Medan High Military Court I using the Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) method. The TOPSIS method measures and compares change agent candidates based on predetermined criteria. These criteria included competence, experience, understanding of the military justice system, communication, and leadership ability. Data was obtained through surveys and interviews with staff and stakeholders at Medan High Military Court I. This system will assist decision-makers at Medan High Military Court I in determining the most suitable change agent to lead change in the institution. In addition, this research can also provide insights into the importance of selecting the right change agent in the context of military justice, which in turn can improve the effectiveness of the military justice system as a whole.
Penerapan Algoritma Convolutional Neural Network Untuk Menentukan Retinopati Hipertensi Melalui Citra Retina Fundus Kana Saputra S; Insan Taufik; Debi Yandra Niska; Raiyan Fairozi; Mhd Hidayat; Mohammed Hafizh Al-Areef
JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Vol. 6 No. 2 (2023): Jutikomp Volume 6 Nomor 2 Oktober 2023
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jutikomp.v6i2.4307

Abstract

Hypertension is a disease that spreads in the human body caused by increased blood pressure that exceeds normal limits. The increase occurs over a long period, causing complications in human organs that cannot be seen clearly, such as complications in the heart, kidneys, brain, and retina. One of the disorders or complications of high blood pressure is in the retina. The disorder in the retina can also be said as hypertensive retinopathy. Patients suffering from hypertensive retinopathy can only be diagnosed by an ophthalmologist; this is because hypertensive retinopathy cannot be seen with the naked eye. However, one of the earliest signs is the thinning of the arterioles, which can cause blindness. Therefore, computer-assisted processing and analysis of eye fundus images to identify hypertensive retinopathy is an important thing to do by applying the Convolutional Neural Network algorithm. There are nine Convolutional Neural Network architectures used, namely AlexNet, DenseNet, Inception-V3, InceptionResNetV2, Lenet-5, MobileNetV2, ResNet50, VGG16, and VGG19. Based on the experimental results, it was found that of the nine Convolutional Neural Network architectures, two of them, namely AlexNet and Lenet-5, obtained an F1 Measure value of 0.66 and the highest accuracy of 0.67.

Page 13 of 13 | Total Record : 126

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