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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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Penerapan Metode Klasifikasi Decision Tree Pada Status Gizi Balita Di Kabupaten Simalungun Hananda Hafizan; Anggita Nadia Putri
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 1, No 2 (2020): Edisi April
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v1i2.23

Abstract

One of the health problems in Indonesia is the problem of nutritional status of children under five years. Cases of malnutrition are not only a family problem, but also a state problem. The nutritional status of children under five years can be assessed by measuring the human body known as "Anthropometry". To be able to carry out anthropometric examinations and measurements in order to find out the nutritional status of children under five, they can go to public health service places such as the Posyandu. We went to the KENANGA Posyandu located in Wonorejo, Kerasaan sub-district, Simalungun district. The purpose of this study will be to test the model for the classification of nutritional status of children under the WHO-2005 reference standard by utilizing data mining techniques using the Decision Tree method C4.5 Algorithm.
Metode Tracking 3D Image dalam Teknologi Augmanted Reality untuk Pembelajaran Animasi Sekolah Lanjutan Tingkat Atas Hadrila P A; Y Yuhandri; S Sumijan
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.v5i2.362

Abstract

Augmented reality is a technique that combines two-dimensional and three-dimensional virtual objects into a real three-dimensional scope and then projects these virtual objects in real time. The use of markers in this application is chosen apart from being suitable for implementation as learning and also tends to be fast in terms of reading on the process of the emergence of 3-dimensional objects in visual Form. This research aims to be a learning medium for the 12 Principles of Animation at the high school level. The method used in this research uses the 3D Image tracking method, which has four stages, namely 3 Dimensional Model Development, Marker development, Model implementation into development tools, Augmanted Reality Application Implementation, Dataset consists of 12, 3 Dimensional images representing each of the 12 Principles of Animation. This research produces animated Augmanted Reality digital learning media that can attract student interest and make students understand more quickly. Reference: The use of animated Augmanted Reality learning media makes learning active, creative, effective and fun.
Analisis Data Kepuasan Pengguna Layanan E-Wallet Gopay Menggunakan Metode Naïve Bayes Classifier Algorithm I Gede Iwan Sudipa; I Made Dwi Putra Asana; Ketut Jaya Atmaja; Putu Praba Santika; Dwiki Setiawan
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.v4i3.219

Abstract

E-Wallet or digital wallet is a digital payment instrument using electronic media as a means of payment, in this case, GoPay is one of them. To determine the satisfaction of GoPay digital wallet users in East Denpasar, this research was conducted using the Naïve Bayes Classifier Algorithm method to see how much satisfaction GoPay service users have with GoPay service itself. In collecting data, the researcher used a questionnaire as a data collection method. The data obtained is 100 data, which is divided into two types of datasets, namely training datasets, and testing datasets. The variables used for classification are 2 self-data variables, and 11 question variables based on the attributes that have been used. In determining user satisfaction in this study, researchers used the "Satisfied" class for the satisfied category, and the "Unsatisfied" class for the dissatisfied category. The results obtained from this study are 79 data predictions categorized as satisfied which have the same class as the actual data, 9 prediction data categorized as dissatisfied with the actual data, and test and score which have results AUC 0.995, CA 0.880, F1 0.900, Precision 0.949, Recall 0.880
Penerapan Data Mining Penjualan Alat Tulis Kantor Menggunakan Algoritma Apriori Di Tiga Balata Muhammad Aliyul Amri; Syafitri Warda Ningsih
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 2, No 3 (2021): Edisi Juli
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v2i3.74

Abstract

Data mining is a process of searching for patterns or interesting information in selected data using certain techniques or methods. Data mining is a process of searching for patterns or interesting information in selected data using certain techniques or methods. This research discusses the Association Rule method as a data mining function which is implemented using the Apriori Algorithm. The priori algorithm is the most well-known algorithm for finding high frequency patterns. For this reason, this algorithm can combine items or items sold in stationery stores. The combination values obtained were two item combinations, namely Notebooks, Pens and Double Folio Paper, and Pens with a Support value of 13.64% each. By doing this research, the shop owner will be able to provide items that are often purchased by consumers and can be a consideration for the layout of the items in the stationery shop.
Perbandingan Performa Kecepatan dari Algoritma Hash Function untuk Proses Enkripsi Password Ahmad Miftah Fajrin
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.v4i4.256

Abstract

Hash Function is a crucial component in the field of cryptography. It is also utilized for authentication processes within a system. Authentication processes need to ensure both security and data processing speed. One vital component in the authentication process is the password. Password security can be enhanced through encryption using hash functions. Algorithms that can be employed include SHA-1 until SHA-3, MD5 and BLAKE2. Performance testing for execution speed and password comparison is conducted on these algorithms. The results indicate that the BLAKE2 algorithm has an average encryption time of 0.9857. Likewise, for the password comparison process, the BLAKE2 algorithm also exhibits a high speed with an average of 0.2230. As a result, the BLAKE2 algorithm is recommended for use in system authentication.
Sistem Pakar Diagnosis Penyakit Pernafasan Pada Manusia dengan Metode Forward Chaining Mhd Furqan; Abdul Halim Hasugian; Tria Elisa
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.v4i1.114

Abstract

Respiratory disease is an infectious disorder that often occurs compared to other diseases. Due to the lack of handling and people who take it lightly with the symptoms caused by respiratory diseases in humans, causing the disease to get worse. The purpose and intent of this research is to facilitate and help the public to diagnose respiratory diseases efficiently and effectively. Seeing the problem occurs, a web-based application is made to overcome it. This expert system has analyzed data consisting of 6 diseases, namely tuberculosis, bronchitis, pneumonia, pleurisy, tonsillitis, and asthma. So that there are 40 disease symptom data that form a symptom rule and form the right diagnosis results. This web-based expert system for diagnosing respiratory diseases in humans is used with the forward chaining method. So the result of this research is an application or web-based expert system for diagnosing respiratory diseases in humans.
Analisis Kepuasan Pelayanan Sekretariat DPRD Kota Sukabumi Terhadap Anggota DPRD Kota Sukabumi Fatwa Adib Soetedjo; 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.v5i1.336

Abstract

To assess or evaluate the quality of performance services, the ability to analyze data using significant methods is required. The DPRD is a Regional People's Representative Institution which functions as an organizing element of Regional Government. In a government agency, service quality is a benchmark for an agency to assess employee quality, performance efficiency and effectiveness of coordination flows between one section and another. The Service Quality method is the right choice for analyzing the quality of performance in an agency. The subjects of this research were 22 of the 5 members of the Sukabumi City DPRD. The research results show positive results with a gap of 0.08 for performance measurement, reliability, empathy, responsiveness and assurance.
Perancangan Game Edukasi Berburu Suku Bauzi di Mambramo Papua Agung Dwi Saputro
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 4, No 2 (2023): Edisi April
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v4i2.165

Abstract

The Bauzi is a tribe that inhabits the Mamberamo Raya district. The Bauzi  is classified as semi-nomadic who fully utilizes the existing ecosystems in their territory. The life of the Bauzi  belongs to the hunter-gatherer economy. They carry out hunting activities, fishing all year round, but there are some animals that are only available seasonally. Animals that can be hunted throughout the year are wild boar, while a some of bird species are only available in certain seasons. Currently, the media rarely discusses the Bauzi tribe. To more easily learn and get to know the Bauzi tribe, an educational game design for hunting the Bauzi  in Mambramo Raya can be made. The method used to design this game is the RAD (Rapid Application Development) method which is divided into three stages: planning, system design, and implementation. This Bauzi hunting educational game contains a pig hunting game and lessons about the Bauzi tribe, starting from the history of the Bauzi , their daily activities, how to hunt,  and tools used for hunting. The purpose of this game is to make it easier for people to learn about the Bauzi tribe with educational game media. The final result of this research is a desktop application that can be used as a learning medium for the Bauzi tribe in Mamberamo.
Penerapan K-Means Dalam Mengelompokkan Nilai Tambah Industri Besar/Sedang Menurut Kabupaten/Kota Pika Aryani; Ema Meyliza
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 1, No 1 (2020): Edisi Januari
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v1i1.11

Abstract

Each region must have industries both primary industries, secondary industries, manufacturing industries, construction industries, service industries and the quarter industry. These industries must produce an output that will be used or consumed by consumers or the public. More and more industries in a region indicates that the region has a lot of market demand from the community and the more industries, the income in the industry of a region increases. In this study the data was taken from a government website namely BPS (Statistics Indonesia) - www.bps.go.id which is a website that presents various statistical data from each region. There are 2 clusters in this study, namely high level clusters (C1) and low level clusters (C2). This study stopped at the 2nd iteration and there were centroid data generated namely high level centroid (78177, 56543, 42610, 155596) and low level centroid namely: ((3513.3), (3448.8), (2390.9) ), (4568)). From the calculation process that has been carried out there are 2 high-level districts / cities namely (Deli Serdang and Medan) and 31 other low-level districts / cities. It is hoped that this research can be input to the government in each region to inform the output data generated from industry in each region, and then the data can be used whenever needed.
Penerapan Algoritma Regresi Linier Berganda Untuk Memprediksi Hasil panen Padi Di Kota Pagar Alam Dedi Setiadi; S Sasmita; Melza Yolanda
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.v5i2.353

Abstract

Many farmers experience crop failure. Apart from that, farmers do not know what factors most influence the crop yield, so farmers cannot anticipate crop failure. Based on these conditions, a prediction model is needed that is able to predict rice crop yields so that farmers can find out the causes of crop failure, the factors that most influence crop yields and make better estimates of what will happen in the future, so that farmers can make policies and measures to anticipate crop failure in the next planting. This research aims to predict rice harvest yields in Pagar Alam City so as to help farmers predict rice harvest more easily, farmers can take policies and actions to predict crop failure using a multiple linear regression algorithm. Development method. The system used is the waterfall method and testing using black box testing. The rice harvest prediction system is an innovative solution that aims to accurately estimate rice harvest yields in Pagar Alam City.

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