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<![CDATA[IT GOVERNANCE OF SENAYAN LIBRARY MANAGEMENT SYSTEM (SLIMS) LIBRARY AND ARCHIVES DEPARTMENT OF EAST KALIMANTAN PROVINCE USING COBIT 5.0 ]]>
<![CDATA[Ita Arfyanti]]>;
<![CDATA[Nursobah Nursobah]]>;
<![CDATA[Rajiansyah Rajiansyah]]>
<![CDATA[ Jurnal Ilmiah Matrik Vol 23 No 2 (2021): Jurnal Ilmiah Matrik ]]>
Publisher : <![CDATA[Direktorat Riset dan Pengabdian Pada Masyarakat (DRPM) Universitas Bina Darma ]]>
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DOI: 10.33557/jurnalmatrik.v23i2.1429
<![CDATA[The existence of an information system in the Library and Archives Department of East Kalimantan needs to be properly maintained and supervised so that the organizational system is in line with the agency's goals. One way to ensure this is to conduct an information system performance analysis. This study uses the Control Objective for Information and related Technology (COBIT) version 5.0, which is a best practice that provides activities managed by the IT organizational structure within a framework in the form of a product, to focus on execution and control that has been made from experts from the field of technology governance Information. This practice can maximize IT investment, to assess if there are errors in providing measurements made and delivering services. Therefore, in order to achieve the target, this research was carried out using the COBIT 5.0 framework in order to be able to analyze an information system performance at the Library and Archives Department of East Kalimantan. The results of this study indicate that MEA01 is at level 5 (Optimizing Process), MEA02 is at level 3 (Established Process), MEA03 is at level 2 (Managed Process). In this case the Regional Library and Archives Office of East Kalimantan to be more efficient in the use of IT requires handling of the factors that influence it so that it is maximal, the use of IT for all employees in the operation of the Senayan Library Management System (SLiMS) and also the person in charge of IT to keep pace with developments technology.]]>
<![CDATA[ANALISIS PERANCANGAN E-COMMERCE TART & CAKE FAFA CHEESE BERBASIS WEB ]]>
<![CDATA[Kusnandar Kusnandar]]>;
<![CDATA[Ita Arfyanti]]>;
<![CDATA[Nursobah Nursobah]]>
<![CDATA[ Jurnal Ilmiah Matrik Vol 23 No 2 (2021): Jurnal Ilmiah Matrik ]]>
Publisher : <![CDATA[Direktorat Riset dan Pengabdian Pada Masyarakat (DRPM) Universitas Bina Darma ]]>
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DOI: 10.33557/jurnalmatrik.v23i2.1450
<![CDATA[This study discusses about e-commerce analysis and design at the Fafa Cheese shop. The sales system is still done manually, monthly data reports are still done in recording into a book which can lost sales reports, and there is no price information and tart sold, it is necessary to have the delivery status of the tart sold. The development of this sales information system uses the waterfall development system. This study aims to design an online cake sales application, provide information about prices and cakes sold and provide information that cakes have been sent to customers. The results of this study are the creation of e-commerce design, making it easier to make monthly reports, the availability of price information and cakes sold, and the status of cake delivery if the cake has been sent to the customer.]]>
<![CDATA[Perbandingan Keefektifan Metode Case-Based Reasoning dan Certainty Factor dalam Sistem Pakar Diagnosis Penyakit Multiple Sclerosis ]]>
<![CDATA[Hanifah Ekawati]]>;
<![CDATA[Ita Arfyanti]]>;
<![CDATA[Tommy Bustomi]]>
<![CDATA[ JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 4 (2023): Oktober 2023 ]]>
Publisher : <![CDATA[Universitas Budi Darma ]]>
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DOI: 10.30865/mib.v7i4.6574
<![CDATA[The management of complex neurological diseases such as Multiple Sclerosis (MS) requires accurate and efficient diagnostic approaches. To enhance diagnostic precision, a study has conducted a comparison between two approaches within the framework of an expert system, namely the Case-Based Reasoning (CBR) Method and the Certainty Factor (CF) Method. The primary objective of this study is to evaluate the effectiveness of these two methods in supporting the diagnosis process of Multiple Sclerosis. The Case-Based Reasoning Method is an approach that relies on past experiences to address new issues. Within an expert system, CBR utilizes knowledge from previous cases to identify diagnoses that align with the current situation. On the other hand, the Certainty Factor Method is an approach that measures the confidence level in a statement based on rules and associated confidence factors. This study makes use of a dataset containing information from previous cases related to the diagnosis of Multiple Sclerosis. By employing both of these methods, an expert system is developed to provide diagnostic recommendations based on inputted symptoms and data. The effectiveness of both approaches is evaluated through diagnostic accuracy, computational speed, and confidence levels in the generated results. Research findings indicate that both methods have their respective strengths and weaknesses. The CBR method tends to yield accurate results by referring to similar cases in the past, but it may encounter challenges in unique or rare cases. On the other hand, the Certainty Factor Method has the ability to handle uncertainty and can produce results with measurable confidence levels. However, dependence on predefined rules may limit adaptation to new cases. In conclusion, this study underscores that there is no singular perfect approach within expert systems for diagnosing Multiple Sclerosis. Both the CBR and Certainty Factor methods contribute in their own ways to improving accuracy and confidence in the diagnosis process. Therefore, integrating these two methods could be a promising direction for the development of expert systems in the future.]]>
<![CDATA[Penerapan Metode Simple Additive Weighting (SAW) dan SWARA dalam Pendukung Keputusan Pemilihan Penerimaan Karyawan Apoteker ]]>
<![CDATA[Salmon, Salmon]]>;
<![CDATA[Arfyanti, Ita]]>
<![CDATA[ Building of Informatics, Technology and Science (BITS) Vol 4 No 1 (2022): June 2022 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi ]]>
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DOI: 10.47065/bits.v4i1.1488
<![CDATA[Drugs are the most important needs in alleviating and overcoming complaints of illness suffered by patients, a patient will certainly go to the nearest drug store or pharmacy to ask for advice in drug selection to a pharmacist, as a pharmacy or drug store Of course, it is very dangerous to choose a pharmacist without proper knowledge and insight into medicines. Failure to choose a pharmacist will result in losses to the company or pharmacy as well as patient safety, so an expert understanding is needed to determine the standards of a pharmacist to be trusted, selecting employees using a decision support system is the right step to reduce the risk that will occur. in the future. The decision support system in this study uses the SWARA method in determining the weight of the criteria based on expert opinion and the Simple Additive weigh (SAW) method as a ranking method based on the highest value. The results of this study selected alternative A4 on behalf of Tika which has a value of 95% as the alternative that most meets the standards]]>
<![CDATA[Penerapan Algoritma Decision Tree Untuk Penentuan Pola Penerima Beasiswa KIP Kuliah ]]>
<![CDATA[Arfyanti, Ita]]>;
<![CDATA[Fahmi, Muhammad]]>;
<![CDATA[Adytia, Pitrasacha]]>
<![CDATA[ Building of Informatics, Technology and Science (BITS) Vol 4 No 3 (2022): December 2022 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi ]]>
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DOI: 10.47065/bits.v4i3.2275
<![CDATA[The Indonesian Smart College Card (KIP Lecture) is a government program that has been implemented from 2020 until now. KIP Lectures are distributed by the Ministry of Education, Culture, Research and Technology through universities in each region. Where each university gets a different quota - based on the level of progress of the college. The provision of quotas for each university based on the accreditation at each university raises its own problems for these universities. The problem faced is that the number of new prospective students who register to take the KIP Lecture program exceeds the quota set for each university. The provision of KIP Lecture assistance to the wrong person will lead to misuse of assistance and also inappropriate targets. The acceptance of the selection process for new prospective students can be seen from the previous process that has been carried out. Data mining is a technique used to solve problems in large data processing. Decision Tree is an algorithm that is included in the classification technique in data mining. The process in the decision tree aims to group or classify data against their respective classes. The results of the Decision Tree algorithm are in the form of decision trees and rules, the results obtained are in the form of rules that can be used for future decision-making processes]]>
<![CDATA[Penerapan Metode MOORA pada Sistem Pendukung Keputusan Pemilihan Kepala Laboran ]]>
<![CDATA[Harianto, Kusno]]>;
<![CDATA[Arfyanti, Ita]]>;
<![CDATA[Yusika, Andi]]>
<![CDATA[ Building of Informatics, Technology and Science (BITS) Vol 4 No 3 (2022): December 2022 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi ]]>
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DOI: 10.47065/bits.v4i3.2288
<![CDATA[In the process of carrying out academic activities in every university, it is inseparable from the existence of tendik. In college, the head of the laboratory is in charge of ensuring the implementation of the use of the laboratory in supporting the ongoing learning process. The head of the laboratory is in charge of regulating work mechanisms and procedures in the laboratory unit. The importance of the role of the head of laboratory for tertiary institutions requires universities to have a head of laboratory in accordance with the implementation of the tasks and responsibilities given. The selection of the head of the laboratory is not only done based on the length of work at the tertiary institution, but also must be seen from the knowledge, abilities, expertise, decision making and competency certificates possessed. Therefore, we need a way to help solve problems, especially by using a computerized system. Decision support system is a computerized information system. Decision support systems are widely used for corporate organizations to solve problems in the process of making or supporting decisions. The results obtained from the application of the MOORA Method are that alternative A1 was chosen to be the head of the laboratory with a final score of 0.48]]>
<![CDATA[Implementasi Data Mining dengan Menerapkan Algoritma K-Means Clustering untuk Memberikan Rekomendasi Jurusan Kuliah Bagi Mahasiswa Baru ]]>
<![CDATA[Arfyanti, Ita]]>;
<![CDATA[Bustomi, Tommy]]>;
<![CDATA[Haristyawan, Ivan]]>
<![CDATA[ JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 2 (2024): April 2024 ]]>
Publisher : <![CDATA[Universitas Budi Darma ]]>
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DOI: 10.30865/mib.v8i2.7429
<![CDATA[At the tertiary level, a student studies in a field of expertise or major that suits his or her area of talent and interest. Choosing an inappropriate college major will have consequences for the future of the prospective new student. In choosing a major, a prospective new student should choose a major that suits his abilities, both academically and his talents. One way to overcome prospective students who are wrong in choosing this major is to use the K-Means Clustering method. The K-Means algorithm is part of clustering data mining which has the role of forming new groups based on cluster formation. The K-Means Clustering algorithm can solve the problem of recommending majors to prospective new students based on school grades. The results of applying the K-Means algorithm show that in Cluster 1 there are 6 prospective students, in Cluster 2 there are 11 prospective students and in Cluster 3 there are 3 prospective students.]]>
<![CDATA[Perbandingan Kinerja Algoritma Klasifikasi Data Mining Untuk Prediksi Penyakit Darah Tinggi ]]>
<![CDATA[Arfyanti, Ita]]>;
<![CDATA[Bustomi, Tommy]]>;
<![CDATA[Haristyawan, Ivan]]>
<![CDATA[ Building of Informatics, Technology and Science (BITS) Vol 6 No 3 (2024): December 2024 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi ]]>
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DOI: 10.47065/bits.v6i3.6477
<![CDATA[High blood pressure or hypertension is one of the major health problems in the world. Although this disease can be treated, many individuals are unaware that they have hypertension, because the symptoms are often not visible or felt. Therefore, early detection of high blood pressure is very important to prevent serious complications that can endanger health. In the digital era and advances in information technology, a lot of health data can be used for analysis. One of the rapidly developing approaches to help diagnose disease is by utilizing data mining. Data mining is the process of exploring and analyzing big data to find hidden patterns, information, and knowledge that can be used to support decision making and predictions. One technique in data mining that is often used to predict conditions or diseases is the classification algorithm. However, the comparison of performance between these classification algorithms in the context of hypertension prediction is still limited. This study aims to explore and compare the performance of classification algorithms in predicting hypertension, using a dataset containing medical information about factors that affect a person's blood pressure. The Naive Bayes algorithm is a classification method based on Bayes' theorem and the assumption of independence between features. The C4.5 algorithm is a machine learning algorithm for building decision trees used in data classification. The results of this study are expected to contribute to the development of a data mining-based decision support system that can be used to detect and predict the risk of hypertension. the accuracy value of the Naive Bayes algorithm is 87.01% and the accuracy value of the C4.5 algorithm is 94.72%. From the process that has been carried out, it can be said that the C4.5 algorithm is an algorithm with better performance than the Naive Bayes algorithm. Thus, the model used in the process of diagnosing hypertension is the model of the C4.5 algorithm.]]>
<![CDATA[Membangun Game Edutainment “Pengenalan Komputer” Menggunakan Shuffle Random (SR) Dan Finite State Machine (FSM) Untuk Anak Tunagrahita Ringan ]]>
<![CDATA[Pratiwi, Heny]]>;
<![CDATA[Arfyanti, Ita]]>;
<![CDATA[Sururi, M Za’iem]]>
<![CDATA[ J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 3, No 2 (2019): EDISI SEPTEMBER ]]>
Publisher : <![CDATA[STIKOM Tunas Bangsa Pematangsiantar ]]>
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DOI: 10.30645/j-sakti.v3i2.149
<![CDATA[Research to build an Edutainment Game "Introduction to Computers" for mild retarded children is a study designed for teachers to deliver material to special school students (SLB) with special needs such as children with visual impairment, hearing impairment, mental retardation, intellectual disability, autism and blindness. . In this game the player will be presented with a variety of learning menus about "Computer Devices" and a game menu consisting of a guessing picture quiz to train memory, then there are typing games and labyrinth games to develop motor movements and increase students' responses and interests. Shuffle and Finite State Machine randomization algorithms will be applied in this study, with the aim of arranging the image position to be randomized in the learning menu and typing games as well as randomizing the position of the main characters and enemies in the labyrinth game made in three levels. This is done to improve students' learning and curiosity. The technology applied in this research is intelligent agent (intelligent system) which has a game agent character that will accompany children to learn and play.]]>
<![CDATA[Membangun Game Edutainment “Pengenalan Komputer” Menggunakan Shuffle Random (SR) Dan Finite State Machine (FSM) Untuk Anak Tunagrahita Ringan ]]>
<![CDATA[Pratiwi, Heny]]>;
<![CDATA[Arfyanti, Ita]]>;
<![CDATA[Sururi, M Za’iem]]>
<![CDATA[ J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 3, No 2 (2019): EDISI SEPTEMBER ]]>
Publisher : <![CDATA[STIKOM Tunas Bangsa Pematangsiantar ]]>
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DOI: 10.30645/j-sakti.v3i2.149
<![CDATA[Research to build an Edutainment Game "Introduction to Computers" for mild retarded children is a study designed for teachers to deliver material to special school students (SLB) with special needs such as children with visual impairment, hearing impairment, mental retardation, intellectual disability, autism and blindness. . In this game the player will be presented with a variety of learning menus about "Computer Devices" and a game menu consisting of a guessing picture quiz to train memory, then there are typing games and labyrinth games to develop motor movements and increase students' responses and interests. Shuffle and Finite State Machine randomization algorithms will be applied in this study, with the aim of arranging the image position to be randomized in the learning menu and typing games as well as randomizing the position of the main characters and enemies in the labyrinth game made in three levels. This is done to improve students' learning and curiosity. The technology applied in this research is intelligent agent (intelligent system) which has a game agent character that will accompany children to learn and play.]]>
