Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
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.
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<![CDATA[Perbandingan Algoritma Apriori Dan Fp Growth Terhadap Market Basket Analysis Pada Data Penjualan Bakery ]]>
<![CDATA[Muhammad Fathurrahman]]>;
<![CDATA[Adi Rizky Pratama]]>;
<![CDATA[Tohirin Al-Mudzakir]]>
<![CDATA[ Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 4, No 2 (2023): Edisi April ]]>
Publisher : <![CDATA[LPPM STIKOM Tunas Bangsa ]]>
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DOI: 10.30645/kesatria.v4i2.161
<![CDATA[Tight competition in the business world makes bakery business people have to think harder in developing strategies to face this competition. In addition, the problems experienced by business people are having difficulty knowing consumer purchasing patterns due to limitations in analyzing bakery transaction data. So in this problem it is necessary to apply the Market Basket analysis method to find out consumer buying patterns. Market basket analysis is a methodology for analyzing consumer buying habits by finding associations between several different items that consumers place in a shopping basket that they buy in a particular transaction. The results in this study on the combination pattern obtained from the association method with the a priori algorithm, namely having the highest confidence combination pattern is Alfajores, then you also buy coffee with a confidence value of 54.06%, and if you buy cake, you also buy coffee with a confidence value of 52.69%. . While the results of the combination pattern obtained from the association method with the fp-growth algorithm are if you buy Pastry then you also buy Coffee with a confidence value of 55.21%, and if you buy Cookies then you also buy Coffee with a confidence value of 51.84..]]>
<![CDATA[Model Mekanisme Patahan Gempa Bumi Tarutung 2022 Mw 5.8 ]]>
<![CDATA[Endah P. Sari]]>;
<![CDATA[Resa Idha]]>;
<![CDATA[Hendro Nugroho]]>;
<![CDATA[Syahrul Humaidi]]>;
<![CDATA[Andrean V. H Simanjuntak]]>;
<![CDATA[Umar Muksin]]>
<![CDATA[ Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 4, No 2 (2023): Edisi April ]]>
Publisher : <![CDATA[LPPM STIKOM Tunas Bangsa ]]>
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DOI: 10.30645/kesatria.v4i2.184
<![CDATA[On October 1, 2022, an earthquake with a magnitude of 5.8 shook the Tarutung area which was generated by an active fault at a shallow depth of 10 km. In this study, relocating the hypocenter and determining the mechanism of the earthquake was carried out to understand the active tectonic structure. The distribution of hypocenter relocation figures a pull-apart pattern at shallow depths. The earthquake mechanism shows a dextral pattern in the Southwest – Southeast direction with a strike of 138º – 158º. The aftershocks are more dominantly distributed in the pull-apart system in the southeastern part and show the greater part of the transfer of seismic static stress to the southeastern side of the Toru fault. The pull-apart tectonic system scheme in the Tarutung basin with secondary faults as extensional faults is proposed to be a fault source model that forms a negative-flower structure geological pattern. The results of this study can be used as a reference for studying the Tarutung tectonic system and applied as a mitigation study.]]>
<![CDATA[Segmentasi Citra Luka Luar Berbasis Warna Menggunakan Teknik Active Contour ]]>
<![CDATA[Syifa’ah Setya Mawarni]]>;
<![CDATA[M Murinto]]>;
<![CDATA[S Sunardi]]>
<![CDATA[ Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 4, No 2 (2023): Edisi April ]]>
Publisher : <![CDATA[LPPM STIKOM Tunas Bangsa ]]>
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DOI: 10.30645/kesatria.v4i2.175
<![CDATA[Wounds are often underestimated by many people because sometimes all they feel is a little sore and a little bleeding. Unknowingly, wounds can cause infection which causes swelling of the skin and requires long treatment for healing. The purpose of this research is to build educational media for external wound recognition by performing image segmentation in determining wound detection using Active Contour.In the image processing process, the pre-processing stage is carried out to improve the image by removing noise. The success of image recovery was measured using MSE and PSNR values which in this study resulted in MSE = 0.1495 and PSNR = 56.43 with Uniform noise identification and a median low-pass filter of 3x3. Image processing using the Acive Contour technique can segment external wound images well using Matlab 2018b as a tool for image processing and uses 278 wound datasets with details of 59 data on burns, 85 data on abrasions, 111 data on lacerations, and 23 data on stab wounds.]]>
<![CDATA[Sistem Pendukung Keputusan Pemilihan Mahasiswa Berprestasi Menggunakan Metode Profile Matching di FMIPA Uncen ]]>
<![CDATA[Mochammad Fachorrozi]]>;
<![CDATA[S Supiyanto]]>;
<![CDATA[Mingsep Rante Sampebua]]>;
<![CDATA[Remuz MB Kmurawak]]>
<![CDATA[ Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 4, No 2 (2023): Edisi April ]]>
Publisher : <![CDATA[LPPM STIKOM Tunas Bangsa ]]>
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DOI: 10.30645/kesatria.v4i2.166
<![CDATA[The Faculty of Mathematics and Natural Sciences, University of Cenderawasih, regularly selects outstanding students every year. Currently, the process of selecting outstanding students is carried out conventionally which results in the emergence of several problems such as missing data, ineffective report management, and data vulnerability. Decision support systems (DSS) are computer systems that help manage data into information that can help make the right decisions. The profile matching method is a method in SPK that compares individual competitions to award competitions so that the differences in competition (also called gaps) can be identified. The Decision Support System for Selection of Outstanding Students Using the Profile Matching Method is made web-based so that it is more dynamic in interoperability and supports multiplatform ecosystems. This system is created using the PHP programming language with the Codeigniter framework, and MySQL database. Based on the test results, it was concluded that the system with these 4 actors (administrator, study program head, jury and students) could run well, using the black box testing system. The parameters used in analyzing the profile matching of outstanding students are GPA, Scientific Writing, English Language Proficiency, Other Skills, Student Semester and the organization joined. By adding the weighting, the appropriate profile matching is obtained.]]>
<![CDATA[Sistem Prediksi Penyakit Jantung Berbasis Web Menggunakan Metode SVM dan Framework Streamlit ]]>
<![CDATA[Ary Putranto]]>;
<![CDATA[Nuril Lutvi Azizah]]>;
<![CDATA[Ika Ratna Indra Astutik]]>
<![CDATA[ Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 4, No 2 (2023): Edisi April ]]>
Publisher : <![CDATA[LPPM STIKOM Tunas Bangsa ]]>
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DOI: 10.30645/kesatria.v4i2.180
<![CDATA[Heart disease is a disease whose cases often occur in society regardless of age, gender and lifestyle. Most of these diseases can not be cured completely. Heart attacks that are handled too late can cause dangerous complications with the most fatal risk, namely death. With the rapid development of technology at this time, the world of medicine is very helpful. One of the technological advances that exist today is a system that can diagnose disease. One of the machine learning algorithms that can be used is the Support Vector Machine. SVM can be used for regression and classification cases. The advantage of this algorithm is its fast computation. Classification of heart disease with the SVM algorithm results in an accuracy of 85%. The machine learning model that produces the accuracy value is then carried out by deploying the model using the Streamlit framework. Streamlit is a Python-based framework that is open source. This framework was created to make it easier for developers to build web-based programs in the fields of interactive data science and machine learning. The results of this study are web-based programs that can diagnose heart disease with an accuracy value of 85%]]>
<![CDATA[Pengembangan Chatbot Untuk Layanan Pimpinan Daerah Muhammadiyah Kota Yogyakarta Menggunakan Metode Rule-based ]]>
<![CDATA[Dewi Soyusiawaty]]>;
<![CDATA[Febi Ganda Putra]]>
<![CDATA[ Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 4, No 2 (2023): Edisi April ]]>
Publisher : <![CDATA[LPPM STIKOM Tunas Bangsa ]]>
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DOI: 10.30645/kesatria.v4i2.171
<![CDATA[The use of information systems such as the Web is common in institution service processes and information media. The Muhammadiyah Regional Leadership (PDM) in Yogyakarta uses the web information system as a useful media service to provide services and information to the general public. However, when using these web services, the question-and-answer process is not yet effective in providing maximum service, as there are some system limitations in providing performance in the form of quick access. Chatbots are solutions that you can use to answer questions and answers problem. The development of this chatbot can support efforts to improve the service by responding quickly and accurately to questions according to user expectations. In this study, chatbot development uses the Rule-based method as a knowledge base. Based on the results of the tests performed, the accuracy value is 91.97%.]]>
<![CDATA[Memonitor Hidroponik Dengan Sistem Wick Berbasis Internet Of Things (IoT) Menggunakan Mikrokontroler Dengan Metode Fuzzy Logic ]]>
<![CDATA[Furqhan Chaesar Mandala Putra]]>;
<![CDATA[Farid Thalib]]>
<![CDATA[ Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 4, No 2 (2023): Edisi April ]]>
Publisher : <![CDATA[LPPM STIKOM Tunas Bangsa ]]>
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DOI: 10.30645/kesatria.v4i2.162
<![CDATA[Hydroponics is one of the innovations in the food system that does not use soil but uses water elements and other mediums. The hydroponic farming system can help in farming activities, one of the hydroponic methods that is easy to apply is the wick system, but it requires attention and time to be able to carry out a hydroponic planting system. Along with the development of technology, innovations have emerged for hydroponic cultivators to carry out remote monitoring through the concept of the Internet of Things (IoT) with tools that will work automatically in measuring the pH of water and the water level of hydroponic plants of the wick system. The automated system uses the fuzzy logic method as data processing and ESP32 as the microcontroller. To avoid misreading the value of the pH sensor and water level sensor, the calculation of the average equation, comparison, and presentation of errors is used in the sensor data readings. The test results showed that the design tool in monitoring hydroponic plants of the wick system was able to maintain the normal value of water pH, maintain the stability of the water level and identify errors in the reading of the sensor data value. With this research, it is hoped that the application of IoT and the Fuzzy Logic method can become literature in the integration of the development of wick method hydroponic systems in order to maximize yields and reduce the risk of plant errors and failures.]]>
<![CDATA[Perancangan Aplikasi Web Kredit Mikro Menggunakan UML (Unified Modeling Language) Dan Framework PHP Codeigniter ]]>
<![CDATA[Simon Surya Keban]]>
<![CDATA[ Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 4, No 2 (2023): Edisi April ]]>
Publisher : <![CDATA[LPPM STIKOM Tunas Bangsa ]]>
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DOI: 10.30645/kesatria.v4i2.176
<![CDATA[Community Based Water Supply and Sanitation Program (Pamsimas) is a program that aims to support and increase access of drinking water facilities to local people. One of the Pamsimas programs in increasing the capacitation of KPSPAMS or infrastructure for water supply and sanitation is Micro Credit. In certain areas reporting and storing data are not monitored and effective, where it is difficult to monitor and store complete data reports. The purpose of this research is to design a microcredit web application using the UML (Unified Modeling Language) design tool and the PHP Codeigniter Framework in Jakarta Pamsimas Program. The result of this research is Micro Credit Program web application that can be used by community facilitators and District Coordinators in inputting KPSPAM data that follows the Micro Credit program in the payment process.]]>
<![CDATA[Implementasi Jaringan RT/RW Net menggunakan metode IP Binddings dan HTB untuk Usaha Menengah Kecil Mikro ]]>
<![CDATA[Wildan Arif Hidayatulloh]]>;
<![CDATA[Hamzah Setiawan]]>;
<![CDATA[S Sumarno]]>
<![CDATA[ Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 4, No 2 (2023): Edisi April ]]>
Publisher : <![CDATA[LPPM STIKOM Tunas Bangsa ]]>
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DOI: 10.30645/kesatria.v4i2.167
<![CDATA[The Internet is one of the results of technological advancement. Almost all activities can be done online using the Internet. However, the distribution of the Internet has not reached all sectors, especially in remote villages. This is due to the expensive cost of Internet installation, making it inaccessible to middle to lower-class communities. One solution to this problem is the RT RW Net business, which not only benefits the owner but also provides affordable Internet access to lower-middle-class communities. This research discusses the creation of RT RW Net using IP Bindings and HTB methods. IP Bindings is a technique of the hotspot server where the MAC Address of the user's Access Point is registered in the bypass type of IP Bindings so that the user's AP can connect to the Internet without authentication. To manage bandwidth, this research uses Hierarchical Token Bucket (HTB), which is a method of bandwidth management in Mikrotik that applies a hierarchical or tiered grouping concept. By combining these two methods, this research produces a good and appropriate RT RW Net Internet network. This provides access to information, business opportunities, healthcare services, education, and financial transactions online for rural communities. However, factors such as network infrastructure, trained human resources, and transparent and fair policies for all users need to be considered to run the RT RW Net business effectively and provide optimal benefits to the community.]]>
<![CDATA[Penerapan Metode Technique For Order Preference By Similarity To Idel Solution (TOPSIS) Untuk Penentuan Prioritas Penanganan Pasien Penyakit Stunting Pada Balita ]]>
<![CDATA[Dwi Normawati]]>;
<![CDATA[Gentha Muhamad Djamal]]>
<![CDATA[ Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 4, No 2 (2023): Edisi April ]]>
Publisher : <![CDATA[LPPM STIKOM Tunas Bangsa ]]>
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DOI: 10.30645/kesatria.v4i2.158
<![CDATA[Stunting is a condition that occurs in toddlers who fail to grow due to inadequate nutrition causing the toddler's body size to be abnormal. The stunting examination is carried out by collecting data from the posyandu in each village and then calculating it by the system from the Ministry of Health whose output is data on whether or not stunting is under five. Obstacles in carrying out stunting examinations are in the calculation to determine whether a toddler has symptoms of stunting or not. The system used for calculations is sometimes inaccessible and calculations can only be done by the health center involved. So that the large amount of data available makes the puskesmas overwhelmed and ineffective for inputting data, and the handling of Stunting Disease patients is delayed. This research uses TOPSIS, which is a multi-criteria decision-making method that is commonly used to deal with actual decisions, has a straightforward, efficient concept and can be used as an alternative to measuring performance in the form of simple computational output. TOPSIS uses Euclidean distance to calculate the proximity of an option to the ideal solution, applying the premise that the selected alternative must be geometrically close to the positive ideal solution and furthest from the negative ideal solution. With TOPSIS, the puskesmas can make decisions by determining the weight value for each criterion followed by the ranking stage which produces the selected alternative from a number of alternatives.The alternative with the lowest weighted value is the alternative that has the highest priority. From the TOPSIS method, it is possible to rank decision recommendations where the alternative with the lowest preference value is the chosen alternative to get stunting treatment priority and can later be handled further by an expert in the field.]]>
