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Sekretariat KESATRIA: Jurnal Penerapan Sistem Informasi (Komputer & Manajemen) Jln. Jendral Sudirman Blok A No. 1/2/3 Kota Pematang Siantar, Sumatera Utara 21127
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Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Published by Sekolah Tinggi Ilmu Komputer Tunas Bangsa
ISSN : -     EISSN : 2720992X     DOI : 10.30645
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering
KESATRIA: Jurnal Penerapan Sistem Informasi (Komputer & Manajemen) adalah sebuah jurnal peer-review secara online yang diterbitkan bertujuan sebagai sebuah forum penerbitan tingkat nasional di Indonesia bagi para peneliti, profesional, Mahasiswa dan praktisi dari industri dalam bidang Ilmu Kecerdasan Buatan. KESATRIA: Jurnal Penerapan Sistem Informasi (Komputer & Manajemen) menerbitkan hasil karya asli dari penelitian terunggul dan termaju pada semua topik yang berkaitan dengan sistem informasi. KESATRIA: Jurnal Penerapan Sistem Informasi (Komputer & Manajemen) terbit 4 (empat) nomor dalam setahun. Artikel yang telah dinyatakan diterima akan diterbitkan dalam nomor In-Press sebelum nomor regular terbit.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 419 Documents
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DevOps-Driven Infrastructure Management in Elementary Schools: A Sustainable Approach Denny Jean Cross Sihombing
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 4, No 4 (2023): Edisi Oktober
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v4i4.268

Abstract

Effective infrastructure management in elementary schools is vital to supporting quality education. This includes managing the physical facilities, technology, and human resources that support learning. However, many elementary schools need help managing their infrastructure, including a shortage of physical and technological resources, inadequate maintenance, as well as a lack of long-term planning. This research uses a DevOps approach to develop a primary school infrastructure management application. It involves planning, analysis, development, testing, and evaluation. DevOps automates the development and testing process, ensuring the application can run sustainably and securely. Testing involves application feature testing, performance testing, and security testing. The results of this research include the development of a responsive application with an easy-to-use user interface. Automating the development and testing process improved the efficiency and quality of the software. Performance testing shows that the application can handle high loads. Security tests identify and fix potential vulnerabilities. Periodic evaluations and user feedback helped identify areas of improvement, including performance, security, and user interface response. The results of this research include the development of a responsive application with an easy-to-use user interface. Automation of development and testing processes improved efficiency and software quality. Performance testing showed that the application could handle high loads. Security tests identified and fixed potential vulnerabilities. Periodic evaluations and user feedback helped identify areas of improvement, including performance, security, and user interface response.
Sistem Kearsipan Surat Berbasis Web Pada Biro ISDA Sekretariat Daerah Provinsi Jateng Rediza Arya Dilla; Isworo Nugroho
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 4, No 1 (2023): Edisi Januari
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v4i1.110

Abstract

The Infrastructure and Natural Resources Bureau at the Central Java Regional Secretariat has a role in coordinating the preparation of regional policies, coordinating the implementation of regional apparatus tasks, monitoring and evaluating the implementation of regional policies, providing administrative services and developing ASN Resources in several fields. However, the management of letters at the ISDA Bureau is still done manually and involves a lot of paper to be filled out in order to schedule letters according to their grouping. With so much paper used, this raises several obstacles such as the need for large storage space, security risks from stored letters, and the length of time it takes to search for letters. Guided by this problem, the author tries to make a letter archiving information system program with a design method using the UML method, analysis and system design with the Unified Modeling Language. In making this application using PHP MySQL as a database management system. The final result of this research is in the form of a website-based application to make it easier for administrative staff to file letters.
Analisis Sentimen Penggunaan Aplikasi Transportasi Online Pada Ulasan Google Play Store dengan Metode Naive Bayes Classifier Dicki Nugraha; Dudih Gustian
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 1 (2024): Edisi Januari
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i1.341

Abstract

Public transportation is a necessity for some people to carry out their daily activities. In the current digital era, public transportation can be accessed online using a smartphone through applications available on the Google Play Store, for example online transportation applications that are currently popular, namely Grab, Gojek, and Maxim. Since the application's new features, such as food shop services, online transportation applications have experienced an increase in the number of downloads. On the Google Play Store, usually before deciding to download an application, users often look at ratings and read reviews first. Because it has almost the same number of downloads and ratings, making the title the best application less relevant. To find out which online transportation application has the best title, a sentiment analysis was carried out on several online transportation applications on the Google Play Store. This user review analysis uses the Naïve Bayes Classifier (NBC) algorithm, which in several studies that have used this algorithm is considered to have a high enough level of accuracy so that it can determine the best online transportation application based on review comments on the Google Play Store. From the results of the analysis that has been carried out, it was found that the Gojek application got an accuracy value of 86%, the Grab application 87%, and the Maxim application got the highest accuracy level with a value of 93%.
Perbandingan Algoritma ARIMA, Prophet, dan LSTM dalam Prediksi Penjualan Tiket Wisata Taman Hiburan (Studi Kasus: Saloka Theme Park) Dienda Rizkya Hayuningtyas Roosaputri; Christine Dewi
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 4, No 3 (2023): Edisi Juli
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v4i3.199

Abstract

Indonesia has a wide variety of tourism destinations or tourism destinations that are useful as a place to have fun with family or friends, to calm down from various activities as well as an educational place for children to be more interested in learning. PT. Panorama Indah Permai (Saloka Theme Park) is one of the tourist destinations in Indonesia and is currently operating again when the Covid-19 pandemic enters Indonesia and results in changes in visitors coming to amusement park tourism. Therefore, a comparison of ARIMA, Prophet, and Long Short-Term Memory (LSTM) algorithms was made to determine the algorithm that is suitable to be used as a predictive model of amusement park ticket sales. The Data obtained comes from historical data and must go through several processes such as pre-processing and algorithm testing to ensure the accuracy of the data with the algorithm. The results obtained from three forecasting models, it was obtained that the ARIMA algorithm has a value of RMSE of 762,009 and MSE of 580,659,053.
Penerapan Algoritma K-Means Dalam Pengelompokan Pekerja Tetap Perusahaan Konstruksi Menurut Provinsi Khairwa Bakhsar; Widodo Saputra; Heru Satria Tambunan
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 1, No 4 (2020): Edisi Oktober
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v1i4.40

Abstract

A construction company is one of the economic sector businesses that deal with planning and supervision of construction activities to form a building. Permanent workers, namely workers who have a work agreement with the employer for a period of time not based on a decision letter. Based on data obtained from the official Government website, which is located at https://www.bps.go.id/, which displays several numbers ranging from 2010 to 2018 according to provinces in Indonesia. For this reason, the data will be processed by clustering in 2 clusters, namely the highest and lowest, using the Data Mining method with the K-Means Algorithm. In this research technique, the data will be grouped based on the province's name that has the number of permanent construction company workers from 2010 to 2018. The Data Mining method is used to facilitate data grouping of the number of construction company permanent workers according to provinces in Indonesia. The decision-based results were based on the number of permanent workers in construction companies by province with the highest 1 province, namely DKI Jakarta and 33 other provinces, including the lowest level. It is hoped that this research can be an input to the government, provinces that have become more concerned with construction companies based on the clusters that have been carried out.
UI/UX Design of Waste Management Application Using Design Thinking Method Regar Chairul Soleh; M Maukar
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 2 (2024): Edisi April
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i2.374

Abstract

Effective and sustainable waste management is a global challenge that requires innovative solutions. This study proposes optimizing waste management through UI/UX design approach using the design thinking method. The stages of Empathize, Define, Ideate, Prototype, and Testing are employed to design the "SISAKU" mobile application to enhance community participation in waste management. The prototype testing involved 30 respondents, with a System Usability Scale (SUS) result of 80.29%. Evaluation shows that the application design successfully provides intuitive and engaging guidance, increasing public awareness and involvement in waste management. The implementation of lean canvas as a business model provides strategic direction for sustainable development. This research highlights the importance of a user-centered design approach and design thinking method in addressing complex issues such as waste management.
Implementasi Business Intelligence untuk Menganalisis Data Tujuan Populer Untuk Bali Tahun 2022 menggunakan Aplikasi Tableau Public Ahmad Syahril; E Erizal; Firman Noor Hasan
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 4, No 4 (2023): Edisi Oktober
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v4i4.235

Abstract

The most important part in a business is data management, it's just that the steps are not easy. In the development of technology, there are many ways to process and manage data. Business intelligence (BI) may be one of them. Maybe according to estimates the tourist attractions in Bali are the world's top tourist attractions. TripAdvisor named Bali as the world's top destination in the Traveler's Choice award. According to Google Reviewrs, tours in Bali show the highest number of 4,800 and the lowest 4,200. Providing highly effective information is the goal of tourism research in Bali, Indonesia, which is based on business intelligence. For this study, data analysis was performed using Tableau Public software. In Google Reviews, Bali Safari and Marine Park has the highest score with 16,042 and Banjar Hot Spring has the lowest score with 2,422. According to Google Maps, the highest rating rating in Bali is the Penglipuran Village area, with a value of 4,800 and the lowest rating is occupied by an area called Goa Gajah with a value of 4,200.
Analisis Data Mining Pesebaran Siswa Smp Di Pematangsiantar Dengan Metode Algoritma K-Means Clustering Kurnia Sandi Purba; Dedy Hartama; S Suhada
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 3, No 1 (2022): Edisi Januari
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v3i1.91

Abstract

Data Mining is an automatic analysis of large or complex data with the aim of finding important patterns or trends that are usually not realized. However, the student data has not been utilized optimally, making it difficult for the school to carry out student development at school. Each student will make a comparison between the desired service with the service received. The K-Means algorithm is an iterative cluster technique algorithm. This algorithm starts with random selection, which is the number of clusters that you want to form. The attributes needed in processing are the student's hometown, the student's school origin, and the student's grade. Based on these attributes, the data will then be grouped into junior high school students based on city origin, school origin, and student grades using the K-Means Clustering algorithm. The results of processing this data will greatly help the junior high school, so that it is known that the distribution of each junior high school student is the most. In this study, the data used were data from junior high school students from the 2018-2019 class in Pematangsiantar as many as 300 data samples
Rancang Bangun Purwarupa Alat Monitoring Kelembaban dan Suhu Tanaman Bunga Mawar Menggunakan Model Big Bang Berbasis IoT Fitri Sjafrina; Yudi Irawan Chandra; Pipit Dewi Arnesia
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 4, No 1 (2023): Edisi Januari
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v4i1.126

Abstract

Plant temperature and humidity are important factors that must be considered to grow ideally. Sensors that can be utilized to detect these two parameters are the DHT11 temperature sensor as a temperature detector and the YL-69 soil moisture sensor as a moisture detector for planting media. Both sensors are advantageous when applied in the cultivation of rose flower plants so that the growth of flowers can bloom perfectly and avoid damage to these plants. The DHT11 sensor and soil moisture sensor as a microcontroller-based rose flower plant temperature humidity detector is a prototype for monitoring humidity and temperature and automatic watering of rose flower plants based on the Wemos D1 Mini Microcontroller. This prototype consists of the Wemos D1 Mini as the processor and the DHT11 sensor. The soil moisture sensor is the input function to detect the humidity and temperature of the plant, while the output is to provide instructions to the water pump and fan if the temperature and humidity values are not ideal. This prototype can be stored in a greenhouse, and farmers can monitor humidity and temperature using a smartphone device. The Big Bang approach is used because it is excellent for learning and minor projects. It is also ideal for use in situations when only one or two developers are working together on a project
Optimasi Layanan KKN: Implementasi e-KKN Berbasis Web Pada Universitas Islam Lamongan Danang Bagus Reknadi; M Munif; M Mustain
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 1 (2024): Edisi Januari
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i1.324

Abstract

The college is an educational institution that aims to create scientist environmentally sensitive and able to solve the problems that arise in society and have a responsibility to produce graduates who are professionals so that they can support and handle the problems that arise in the community. In order to realize the objective and responsibility, each college must carry out activities Kuliah Kerja Nyata (KKN). KKN is a form of community service, which is special, because there is an element in the Tri Dharma of Universities, namely: Education and Teaching, Research, Service society. The rapid development of science and technology and the progress of communication tools. The need for a renewal of KKN administrative system, called e-KK. These features are provided runs in accordance with has been drafted, with the SIAKAD data as a reference database. The purpose of the development of e-KKN is to accommodate the needs of the KKN administrative process neat for processing data quickly, accurately, and effectively at the Islamic University of  Lamongan. In the design, e-KKN has several features that have been prepared in accordance groove mechanism of opening the registration portal, process list, the small groups at random, until data printing user. 

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