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<![CDATA[Sistem Informasi Layanan Jasa Photo Studio Raja Berbasis Web ]]>
<![CDATA[Dwiki Ilham]]>;
<![CDATA[Muhammad Ihsan]]>;
<![CDATA[Karnadi Karnadi]]>
<![CDATA[ Modem : Jurnal Informatika dan Sains Teknologi. Vol. 2 No. 2 (2024): April : Modem : Jurnal Informatika dan Sains Teknologi ]]>
Publisher : <![CDATA[Asosiasi Riset Teknik Elektro dan Informatika Indonesia ]]>
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DOI: 10.62951/modem.v2i2.51
<![CDATA[Raja Photo Studio is a place that provides services in the field of photography, with the aim of maximizing and empowering all the potential and abilities of its founder, who was born from a background in the world of photography. The photo services in question are for people who need photos for their own purposes. such as graduation photos, pre-wedding photos, family photos and so on. Customers can book coverage for weddings and aqikah events and so on. The information available at Raja Photo Studio includes product information in the form of prices and photo sizes, sales information. Based on research regarding the Web-Based Service Information System at Studio Raja Using the Waterfall Method]]>
<![CDATA[Audit Sistem Informasi Penerimaan Mahasiswa Baru STIMIK Kaputama Menggunakan Framework Cobit 5 ]]>
<![CDATA[Alfina Damayanti]]>;
<![CDATA[Armadani Simanjorang]]>;
<![CDATA[Ayu Syahfitri]]>;
<![CDATA[Bayu Juliansyah]]>
<![CDATA[ Modem : Jurnal Informatika dan Sains Teknologi. Vol. 2 No. 3 (2024): Juli : Modem : Jurnal Informatika dan Sains Teknologi ]]>
Publisher : <![CDATA[Asosiasi Riset Teknik Elektro dan Informatika Indonesia ]]>
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DOI: 10.62951/modem.v2i3.99
<![CDATA[Abstract: The New Student Admission Information System (SIPMB) at STMIK Kaputama aims to enhance efficiency and transparency in the student admission process. This study conducted an information system audit using the COBIT 5 framework to evaluate system maturity and provide improvement recommendations. The audit results indicate that the system has not met the expected targets in all domains, with an average maturity level of 1.35 or 135%, classified as Fully Achieved (F). However, according to the capability model mapping condition index, the value is at level 1 (Performed Process). STMIK Kaputama needs to increase openness to innovation inputs and clear communication with prospective students to avoid errors in the admission process, as well as improve service quality for prospective students.]]>
<![CDATA[Audit Sistem Informasi Penjualan Menggunakan Framework Cobit 5 Pada Umkm Cks ]]>
<![CDATA[Nazwa Nurul Hafizah Rangkuti]]>;
<![CDATA[Elsa Risqi Amalia]]>;
<![CDATA[Melani Puspita Sari]]>;
<![CDATA[Rahayu Arnanda]]>
<![CDATA[ Modem : Jurnal Informatika dan Sains Teknologi. Vol. 2 No. 3 (2024): Juli : Modem : Jurnal Informatika dan Sains Teknologi ]]>
Publisher : <![CDATA[Asosiasi Riset Teknik Elektro dan Informatika Indonesia ]]>
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DOI: 10.62951/modem.v2i3.100
<![CDATA[: This study aims to evaluate the sales information system at UMKM CKS using the COBIT 5 framework. Initial observations revealed several issues, including an unresponsive user interface and a complicated check-out process. The audit results showed an average maturity level of 1.56 or 156%, indicating a Fully Achieved (F) status with a systematic approach. However, on the capability model scale, it is at level 1, which is the Performed Process. The conclusion of this research indicates that although the sales information system has been successfully implemented, there is a need for innovation and enhancement of consumer services, as well as better communication between the company and consumers to improve the effectiveness of the information system.]]>
<![CDATA[Audit Sistem Informasi Pelayanan Perpustakaan Binjai Menggunakan Framework Cobit 5 ]]>
<![CDATA[Yulia Ningsih]]>;
<![CDATA[Siti Alyunita Mega Lestari]]>;
<![CDATA[Indah Kelana Sari]]>;
<![CDATA[Shela Andini]]>
<![CDATA[ Modem : Jurnal Informatika dan Sains Teknologi. Vol. 2 No. 3 (2024): Juli : Modem : Jurnal Informatika dan Sains Teknologi ]]>
Publisher : <![CDATA[Asosiasi Riset Teknik Elektro dan Informatika Indonesia ]]>
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DOI: 10.62951/modem.v2i3.101
<![CDATA[The Binjai Library has developed a technology-based information service system to improve service quality for the community. This study aims to audit the information service system of the Binjai Library using the COBIT 5 framework. Based on the analysis, it was found that the information system has not reached the expected target levels in all domains. The average maturity level calculation shows a score of 1.43 or 143%, which is classified as Fully Achieved. Key findings include the near alignment of human resources and IT capabilities with institutional needs, suboptimal innovation in services, and the need for improvement in HR management and communication. This study concludes that the Binjai Library needs to implement improvements and innovations to enhance the performance of the information system and service quality.]]>
<![CDATA[Penerapan Algoritma C4.5 dalam Klasifikasi Prestasi Atlet: Studi Kasus pada Daftar Nama Penerima Penghargaan Tahun 2023 ]]>
<![CDATA[Andi Diah Kuswanto]]>;
<![CDATA[Hotman Nicolas Badjo]]>;
<![CDATA[Septian Kharist]]>;
<![CDATA[Muhammad Zayyid Mubarok]]>;
<![CDATA[Riski Saputra]]>;
<![CDATA[Rivaldi Muhamad Fitroh]]>
<![CDATA[ Modem : Jurnal Informatika dan Sains Teknologi. Vol. 2 No. 3 (2024): Juli : Modem : Jurnal Informatika dan Sains Teknologi ]]>
Publisher : <![CDATA[Asosiasi Riset Teknik Elektro dan Informatika Indonesia ]]>
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DOI: 10.62951/modem.v2i3.110
<![CDATA[This study aims to apply the C4.5 algorithm in classifying athlete performance based on the 2023 award recipient list. The C4.5 algorithm was chosen for its ability to construct decision trees that can identify patterns and characteristics distinguishing high-performing athletes. The data used in this study includes various attributes such as gender, age, sport, number of medals, and level of competition participation. The results show that the C4.5 algorithm can classify athletes with high accuracy. The resulting decision tree provides valuable insights into the key factors contributing to athlete performance. The implementation of this algorithm is expected to assist sports organizations in more effectively identifying and developing potential talents.]]>
<![CDATA[Perbandingan Performa Labeling Lexicon InSet dan VADER pada Analisa Sentimen Rohingya di Aplikasi X dengan SVM ]]>
<![CDATA[Muhammad Fernanda Naufal Fathoni]]>;
<![CDATA[Eva Yulia Puspaningrum]]>;
<![CDATA[Andreas Nugroho Sihananto]]>
<![CDATA[ Modem : Jurnal Informatika dan Sains Teknologi. Vol. 2 No. 3 (2024): Juli : Modem : Jurnal Informatika dan Sains Teknologi ]]>
Publisher : <![CDATA[Asosiasi Riset Teknik Elektro dan Informatika Indonesia ]]>
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DOI: 10.62951/modem.v2i3.112
<![CDATA[Rohingya in Indonesia has become trending conversation on social media. Sentiment analysis can get public responds. Big data makes the problem time efficiency labeling process, therefore the lexicon dictionary is needed for the labeling process. Data is growing and circulating very rapidly so it takes a fast and efficient time. Although it is fast and makes it easier to solve problems, it is still necessary to question the accuracy produced when using the lexicon labeling. A comparison of the labeling process between the InSet lexicon and the VADER lexicon was conducted to determine the accuracy of the labeling. It was done by combining lexicon with machine learning method of support vector machine and TF-IDF weighting and accuracy result calculated using confusion marix. Data from social media X as many as 9117 lines and labeled with InSet lexicon result 5241 negative sentiments, 1369 positive, and 521 neutral. Then the labeling results with VADER produced 2749 positive, 2523 negative, and 1881 neutral. After labeled, processed SVM and calculated accuracy with results of InSet lexicon accuracy having an average of 85.8% while the VADER SVM lexicon has an average of 82.65%.]]>
<![CDATA[Perancangan Sistem Pendukung Keputusan Metode SAW Untuk Menentukan Guru Terbaik (Studi Kasus : SDN Langenharjo 01) ]]>
<![CDATA[Rafel Fernando]]>;
<![CDATA[Muhammad Ilham Aziiz Alfarobi]]>;
<![CDATA[Yuliana Dewi Proboningrum]]>;
<![CDATA[Nabilah Maimunah]]>;
<![CDATA[Karisna Wahyuningtyas]]>
<![CDATA[ Modem : Jurnal Informatika dan Sains Teknologi. Vol. 2 No. 3 (2024): Juli : Modem : Jurnal Informatika dan Sains Teknologi ]]>
Publisher : <![CDATA[Asosiasi Riset Teknik Elektro dan Informatika Indonesia ]]>
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DOI: 10.62951/modem.v2i3.122
<![CDATA[Education is an effective way to improve people's quality of life. The quality of education depends on the quality of the teachers who teach. Teachers have an important role in the growth and development of students at school. SDN Langenharjo 01 evaluates teacher performance in teaching students by selecting the best teachers as a form of appreciation for their performance and also as a form of teacher motivation to improve the quality of teaching students at school. The school still carries out manual calculation processes and does not yet use the system. The aim of this research is to develop a decision support system for determining the best teachers at SDN Langenharjo 01 using the web-based Simple Additive Weighting (SAW) method. This research uses the Agile System Development method, starting with initial planning, then continuing with the analysis and design stages, and ending with implementation and testing. The SAW method calculation shows that Raharja S.Pd is the best teacher with a preference value of 0.9913. Testing of system functionality shows that all functions in this decision support system work as expected]]>
<![CDATA[Peningkatan Kualitas Pembelajaran Pengolahan Citra Digital Pada Program Studi Teknik Informatika Menggunakan Model Problem Based Learning ]]>
<![CDATA[Mila Nurjanah]]>;
<![CDATA[Yovi Litanianda]]>
<![CDATA[ Modem : Jurnal Informatika dan Sains Teknologi. Vol. 2 No. 3 (2024): Juli : Modem : Jurnal Informatika dan Sains Teknologi ]]>
Publisher : <![CDATA[Asosiasi Riset Teknik Elektro dan Informatika Indonesia ]]>
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DOI: 10.62951/modem.v2i3.125
<![CDATA[This research explores the application of the Problem-Based Learning (PBL) model to improve the quality of digital image processing learning in the Informatics Engineering Study Program. Through in-depth interviews, observations, and document analysis, this research shows that PBL has a positive impact on students' conceptual understanding, technical skills, and involvement in the learning process. Nevertheless, challenges such as planning relevant learning problems and evaluating the learning process were also identified. Support and training are needed for lecturers to overcome these challenges. These findings provide valuable insights for the development of problem-based teaching practices in the context of digital image processing.]]>
<![CDATA[Pengaruh Adanya Chat GPT terhadap Penyelesaian Laporan Praktikum Mahasiswa Program Studi Teknik Informatika di Universitas Muhammadiyah Ponorogo ]]>
<![CDATA[Balya Fauzia Sya’roni]]>
<![CDATA[ Modem : Jurnal Informatika dan Sains Teknologi. Vol. 2 No. 3 (2024): Juli : Modem : Jurnal Informatika dan Sains Teknologi ]]>
Publisher : <![CDATA[Asosiasi Riset Teknik Elektro dan Informatika Indonesia ]]>
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DOI: 10.62951/modem.v2i3.129
<![CDATA[This research aims to analyze the influence of AI Chat GPT in completing practicum reports by students of the Informatics Engineering Study Program at Muhammadiyah University of Ponorogo. The background to this research is based on the increasingly rapid development of AI technology, offering various conveniences in various fields, including education. The aim of the research is to analyze the extent to which Chat GPT influences students' ability to prepare practical reports effectively and efficiently. The research method used is a quantitative method by collecting data through a questionnaire using a Google form which was distributed to active students of the Informatics Engineering study program at Muhammadiyah University of Ponorogo. The results of this research show that Chat GPT significantly increases students' understanding of practical material, helps students solve problems encountered in preparing reports, and reduces the time needed to complete reports. The implication of this research is the importance of integrating AI technology in the learning process to increase student academic effectiveness and efficiency. However, appropriate policies are needed to avoid excessive dependence on this technology.]]>
<![CDATA[Implementasi Algoritma Machine Learning Untuk Prediksi Awal Stunting Pada Anak Usia Dini Berdasarkan Tinggi Badan Dan Berat Badan ]]>
<![CDATA[Yunni Adiyantari]]>
<![CDATA[ Modem : Jurnal Informatika dan Sains Teknologi. Vol. 2 No. 3 (2024): Juli : Modem : Jurnal Informatika dan Sains Teknologi ]]>
Publisher : <![CDATA[Asosiasi Riset Teknik Elektro dan Informatika Indonesia ]]>
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DOI: 10.62951/modem.v2i3.130
<![CDATA[This study aims to apply the K-Nearest Neighbors (KNN) algorithm to predict stunting status in young children based on height and weight data. Stunting is a growth failure condition caused by chronic malnutrition that negatively impacts children's physical and mental development. The dataset includes height, weight, and stunting status of children. The results show that the KNN model with k=3 achieved 100% accuracy on the test data. Evaluation using the confusion matrix and classification report indicates perfect precision, recall, and F1-score for each class. Data normalization with StandardScaler improved the model's performance by ensuring all features are on the same scale. The KNN algorithm proves to be a simple yet effective method for predicting stunting, demonstrating significant potential for early detection and health intervention in children. This study recommends using a larger and more diverse dataset, as well as incorporating additional relevant features to enhance model accuracy. Implementing the model in a web or mobile application is also suggested to assist healthcare professionals in the field.]]>
