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<![CDATA[EVALUASI TATA KELOLA TEKNOLOGI INFORMASI PADA PERUSAHAAN MENGGUNAKAN FRAMEWORK COBIT : Studi Kasus: PT. Telkom Gaharu Medan-Divisi Data Management ]]>
<![CDATA[Silalahi, Arina Prima]]>;
<![CDATA[Jaya, Indra Kelana]]>;
<![CDATA[Sartika, Dewi]]>;
<![CDATA[Manalu, Darwis R.]]>;
<![CDATA[Larosa, Fati G. N.]]>
<![CDATA[ METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 1 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi ]]>
Publisher : <![CDATA[Universitas Methodist Indonesia ]]>
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DOI: 10.46880/jmika.Vol8No1.pp9-19
<![CDATA[Teknologi informasi memegang peranan penting dalam sebuah perusahaan atau instansi lainnya, namun untuk melihat kesesuaian teknologi dengan kebutuhan perusahaan diperlukan evaluasi tata kelola teknologi informasi. Pada penelitian yang dilakukan, fokus evaluasi meliputi divisi Data Management PT Telkom Gaharu dengan menggunakan kerangka kerja COBIT 2019 dengan domain EDM04 (Ensure Resources Optimization), MEA01 (Managed Performance and Conformance Monitoring) dan DSS03 (Managed Problems) yang berfokus pada sistem informasi yaitu Unified Inventory Management. Penelitian ini menggunakan teknik pengumpulan data studi literatur, observasi, wawancara dan kuesioner yang dikelola menggunakan pengukuran skala Guttman dengan bantuan perhitungan Microsoft Excel. Evaluasi yang dilakukan berfokus pada nilai Capability Level dan Gap Analysis yang disajikan dalam bentuk Tabel dan Grafik Radar. Nilai Capability Level dari domain EDM04 sebesar 92% (Fully Achieved) dengan Gap Analysis 0.97 maka dapat dikatakan bahwa proses tata kelola teknologi informasi untuk domain EDM04 sepenuhnya sudah tercapai. Nilai Capability Level domain MEA01 sebesar 94% (Fully Achieved) dengan Gap Analysis 1.33 maka dapat dikatakan bahwa proses tata kelola teknologi informasi untuk domain MEA01 sepenuhnya sudah tercapai. Nilai Capability Level domain DSS03 sebesar 81% (Largely Achieved) dengan Gap Analysis 0.25 maka dapat dikatakan bahwa proses tata kelola teknologi informasi untuk domain DSS03 sepenuhnya sudah tercapai.]]>
<![CDATA[ANALISIS SENTIMEN TERHADAP APLIKASI LINKAJA MENGGUNAKAN METODE NAÏVE BAYES CLASSIFIER ]]>
<![CDATA[Sitepu, Marheni]]>;
<![CDATA[Yohanna, Margaretha]]>;
<![CDATA[Manurung, Samuel Van Basten H.]]>
<![CDATA[ METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 1 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi ]]>
Publisher : <![CDATA[Universitas Methodist Indonesia ]]>
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DOI: 10.46880/jmika.Vol8No1.pp44-50
<![CDATA[Electronic money is increasing, causing more and more service innovations to emerge. People carry out online transactions using electronic technology, or Fintech. The fintechs widely used today are e-wallets or digital wallets such as Dana, Ovo, LinkAja, etc. In this research, LinkAja as a fintech application will be analyzed using 100 review data samples and summarized into two classes: positive and negative. This research was carried out using the Naïve Bayes Classifier classification method. Sentiment analysis of reviews on the LinkAja application obtained results of 75% accuracy, 83% Precision, 75% Recall, and 73% F1_score.]]>
<![CDATA[IMPLEMENTASI PROTOTYPE PADA SISTEM APLIKASI PERSURATAN KELURAHAN KEDUNGWUNI BARAT (SIPRAKAT) BERBASIS ANDROID ]]>
<![CDATA[Fajar Mahardika]]>;
<![CDATA[Sumantri, Raden Bagus Bambang]]>;
<![CDATA[Ripai, Rizki]]>
<![CDATA[ METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 1 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi ]]>
Publisher : <![CDATA[Universitas Methodist Indonesia ]]>
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DOI: 10.46880/jmika.Vol8No1.pp1-8
<![CDATA[Every agency needs letters, especially the Village Office, because many people need them for purposes such as moving, getting married, giving birth, etc. West Kedungwuni is one of the sub-districts in Kedungwuni District, Pekalongan Regency, Central Java. Prototyping is used when developing systems. This model produces software prototypes that allow users and developers to interact during the information system development process. After completing all research stages, the system created can meet the needs stated in the problem formulation and can assist in managing incoming and outgoing mail in West Kedungwuni District by integrating the database with the Mobile application. Results: 1. Can help in managing incoming and outgoing mail in West Kedungwuni District. 2. Process of distributing incoming and outgoing letters in West Kedungwuni District]]>
<![CDATA[IMPLEMENTASI CLUSTERISASI UNTUK PENGELOMPOKKAN GAYA BELAJAR MAHASISWA DENGAN METODE K MODES ]]>
<![CDATA[Kurniawan, Muhammad Faizal]]>;
<![CDATA[Sugianti, Devi]]>;
<![CDATA[Darmawan, Arief Soma]]>;
<![CDATA[Wibowo, Ari Putra]]>;
<![CDATA[Widiyono, Widiyono]]>
<![CDATA[ METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 1 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi ]]>
Publisher : <![CDATA[Universitas Methodist Indonesia ]]>
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DOI: 10.46880/jmika.Vol8No1.pp20-25
<![CDATA[One of the keys to success in learning is determining student learning styles. Learning styles are grouped into 3, grouping learning styles based on the characteristics of students. Sample data used for 3 classes in the artificial intelligence course with total data of 83 students who answered 36 questions. To be able to carry out student mapping using the k modes method for clustering. The K modes method is used because the data used is categorical. K modes can be used for multi-dimensional clustering and shorter computing times. With the clustering application for grouping student learning styles with a sample of 83 students by answering 36 questions to be divided into 3 groups, the results were 37 students for the visual group, 31 students for the auditory group and 15 students for kinesthetics. At the testing stage, black box testing is used. By knowing learning style groups, students can easily learn and absorb information]]>
<![CDATA[KLASIFIKASI TINGKAT KEPUASAN MAHASISWA TERHADAP FASILITAS KAMPUS MENGGUNAKAN METODE ID3 ]]>
<![CDATA[Nurtiani, Devy Natalia]]>;
<![CDATA[Saputra, Rizal Adi]]>
<![CDATA[ METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 1 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi ]]>
Publisher : <![CDATA[Universitas Methodist Indonesia ]]>
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DOI: 10.46880/jmika.Vol8No1.pp123-128
<![CDATA[This research explores the level of student satisfaction with campus facilities using the ID3 (Iterative Dichotomiser 3) method in forming decision trees. The main focus of this research is to identify factors that influence student satisfaction with various facilities on campus such as libraries, computer laboratories, classrooms, sports facilities, and campus facilities in general. Data from 500 students were obtained from questionnaires and used as a basis for forming a decision tree model. The model visualization provides a clear picture of the satisfaction level classification pattern. This research details the relationships between attributes and contributes to the understanding of factors that influence student decisions. The results of this research provide an in-depth understanding of the attributes that are most influential in predicting student satisfaction levels. The resulting decision tree reflects an informative classification pattern, providing a basis for improving the quality of campus facilities. Implementation of this model produces 100% accuracy in testing data, indicating the model's success in classifying student satisfaction levels. This research contributes to improving the student experience and supporting decision-making regarding campus facilities at higher education institutions.]]>
<![CDATA[ANALISIS & PERANCANGAN SISTEM INFORMASI UKM BERBASIS WEB UNIVERSITAS NASIONAL KARANGTURI ]]>
<![CDATA[Yonatan, Christopher Nikolas]]>;
<![CDATA[Abdillah, Muhammad Zakki]]>
<![CDATA[ METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 1 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi ]]>
Publisher : <![CDATA[Universitas Methodist Indonesia ]]>
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DOI: 10.46880/jmika.Vol8No1.pp26-35
<![CDATA[The UKM (Student Activity Unit) information system is one of the supporting factors for the progress of a university, especially for Unkartur (Karangturi National University) which currently requires online UKM data management. This research aims to analyze and design a web-based UKM information system for Unkartur. The author hopes that the interface design resulting from this research will help Unkartur in solving problems regarding the need for online SME data management. The methods used in this research are UML (Unified Modeling Language) and ERD (Entity Relationship Diagram).]]>
<![CDATA[PREDIKSI HARGA KELAPA SAWIT MENGGUNAKAN METODE REGRESI LINEAR BERGANDA: Studi Kasus PT. Bakrie Sumatera Plantations, Tbk. ]]>
<![CDATA[Eliza, Agnes Lasmaria]]>;
<![CDATA[Manalu, Darwis Robinson]]>;
<![CDATA[Yohanna, Margaretha]]>
<![CDATA[ METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 1 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi ]]>
Publisher : <![CDATA[Universitas Methodist Indonesia ]]>
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DOI: 10.46880/jmika.Vol8No1.pp89-95
<![CDATA[Indonesia's plantation sector, especially palm oil, has a high selling value and its attractiveness continues to increase. The price of palm oil is strongly influenced by external factors, especially the price of crude oil (CPO) and palm oil production globally. Unstable price fluctuations have become a challenge for companies such as PT Bakrie Sumatera Plantations, Tbk. in planning harvest time and optimizing profits. To overcome this uncertainty, this study proposes the use of the Multiple Linear Regression method to predict palm oil prices. Price and production data from 2021 to 2023 are the main basis for developing the prediction model. In this study, 4 independent variables were used, namely year, month, oil price and total production. The amount of data used in this study is 33 data. In testing the Multiple Linear Regression method has an RMSE value of 0.24 and the predicted value of palm oil prices from January to December 2024 is the price of palm oil with the highest value in January 2024 of Rp. 2,276.931 / kg and with the lowest value in December 2024 of Rp. 1,474.75 / kg.]]>
<![CDATA[PENGEMBANGAN SISTEM INFORMASI SURVEILANS INFEKSI TERKAIT PELAYANAN KESEHATAN DENGAN METODE WATERFALL ]]>
<![CDATA[Prasetya, Rhesa]]>
<![CDATA[ METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 1 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi ]]>
Publisher : <![CDATA[Universitas Methodist Indonesia ]]>
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DOI: 10.46880/jmika.Vol8No1.pp36-43
<![CDATA[Healthcare-associated infections (HAIs) are infections that occur when patients receive healthcare in a hospital or another healthcare facility. These infections can jeopardize patient safety, induce illness, and potentially lead to fatal outcomes. Prevention of HAIs involves the implementation of robust healthcare-associated infection surveillance practices and infection prevention and control measures. Surveillance activities, encompassing manual recording, daily monitoring, and manual reporting, may consume nursing time and pose a potential risk of inaccuracies. Therefore, we have undertaken the design of a healthcare-associated infection surveillance information system using the waterfall methodology. The information system has been developed using PHP language and a MySQL database. The deployment of this system aims to streamline and enhance the precision of record-keeping. The analytical insights derived from its reports can be harnessed to mitigate the incidence of healthcare-associated infections.]]>
<![CDATA[ANALISIS SISTEM INFORMASI GEOGRAFIS PARIWISATA DI KABUPATEN SEMARANG ]]>
<![CDATA[Wahyudi, Irawan Parulian]]>
<![CDATA[ METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 1 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi ]]>
Publisher : <![CDATA[Universitas Methodist Indonesia ]]>
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DOI: 10.46880/jmika.Vol8No1.pp65-71
<![CDATA[As time goes by, technology is also developing, especially in the field of Geographic Information Systems (GIS). Geographic Information Systems (GIS) have become an important tool in analyzing, managing, and designing. In various fields and sectors. Semarang Regency is a region located in the province of Central Java which has many very diverse tourist destinations. Tourist destinations in Semarang Regency are relatively low in visitors compared to other regions. Therefore, the aim of this research is to design an application that functions to introduce tourist destinations in Semarang Regency to the wider community by adopting Geographic Information System (GIS) technology. This application makes it easier for visitors to find out tourist locations, see locations virtually using images, see place ratings based on public assessments, looking at the costs required to access tourist areas, etc. This design method uses qualitative methods and system design using UML (Unified Modeling Language)]]>
<![CDATA[PENERAPAN DEEP LEARNING YOLO UNTUK PENGUKURAN JARAK OBJEK MENGGUNAKAN MONO KAMERA ]]>
<![CDATA[Herdianto, Herdianto]]>;
<![CDATA[Nasution, Darmeli]]>;
<![CDATA[Atmaja, Niko Surya]]>;
<![CDATA[Ramadhan, Syahrul]]>
<![CDATA[ METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 1 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi ]]>
Publisher : <![CDATA[Universitas Methodist Indonesia ]]>
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DOI: 10.46880/jmika.Vol8No1.pp51-56
<![CDATA[Mobile robots are a type of robot that can move from one place to another. Therefore, this type of robot has been given the ability to detect objects and measure estimated distances to objects around it to then carry out actions to turn left and right, forward, backward or even stop to avoid collisions. In general, to measure the distance of objects on mobile robots, ultrasonic sensors such as the HC-SR04 are used and some also use cameras, although they can be used to measure distances, but the use of these sensors has disadvantages, such as the maximum distance that can be measured is 4 meters. Given this deficiency, the research that will be carried out will try a YOLO deep learning method that can detect objects and then measure the distance of objects around them. From the results of the tests that have been carried out, it is known that the distance to the object that can be measured is 31,400 mm with the actual object height being 1750 mm.]]>
