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Jurnal Sistem Komputer dan Informatika (JSON)
Published by Sekolah Tinggi Manajemen Informatika dan Komputer Budi Darma
ISSN : -     EISSN : 2685998X     DOI : https://dx.doi.org/10.30865/json.v1i3.2092
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering
The Jurnal Sistem Komputer dan Informatika (JSON) is a journal to managed of STMIK Budi Darma, for aims to serve as a medium of information and exchange of scientific articles between practitioners and observers of science in computer. Focus and Scope Jurnal Sistem Komputer dan Informatika (JSON) journal: Embedded System Microcontroller Artificial Neural Networks Decision Support System Computer System Informatics Computer Science Artificial Intelligence Expert System Information System, Management Informatics Data Mining Cryptography Model and Simulation Computer Network Computation Image Processing etc (related to informatics and computer science)
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 492 Documents
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Sistem Pemilihan Supplier Obat Menerapkan Metode Additive Ratio Analysis (ARAS) Al Khadzik, Fahmi; Huda, Baenil; Novalia, Elfina; Hilabi, Shofa Shofiah
Jurnal Sistem Komputer dan Informatika (JSON) Vol 5, No 3 (2024): Maret 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i3.7499

Abstract

Qita Sehat pharmacy provides a wide range of medicines that are supplied by more than 30 suppliers and 100 buyers every month, but not all suppliers can meet the criteria set by pharmacies and suppliers are often late in the process of supplying drugs to pharmacies so that the stock in pharmacies is running low. From these problems, a solution is made, namely a drug supplier selection system is made by determining the priority order of drug suppliers with several criteria that match the availability of drugs at Qita Sehat pharmacies. The method used is the method of ARAS (Additive Ratio Analysis). The criteria considered are price, quality, lead time, communication systems, performance history and repair services. The result of this method is the order of priority of drug suppliers and knowing the results of the questionnaire through the sensitivity test that is the influence of changes in the value of the importance of the criteria. From the data generated in research using the ARAS method, the results obtained are that PT Javas Karya is the best supplier with the first rank of alternative A6 with a total value of 0.120.
Klasifikasi Kanker Payudara Menggunakan Metode Convolutional Neural Network (CNN) dengan Arsitektur VGG-16 Idawati, Idawati; Rini, Dian Palupi; Primanita, Anggina; Saputra, Tommy
Jurnal Sistem Komputer dan Informatika (JSON) Vol 5, No 3 (2024): Maret 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i3.7553

Abstract

Breast cancer classification is a process to determine the type and characteristics of breast cancer based on the characteristics of cancer cells. In this research, a system is designed to classify breast cancer using ultrasound images which are then processed using the Convolutional Neural Network method with the VGG-16 architecture. The aim of the research is to develop a breast cancer classification system using Convolutional Neural Network (CNN) and evaluate the classification results using Convolutional Neural Network (CNN) with the VGG-16 architecture. In breast cancer classification, three classes are considered: normal, benign, and malignant. The steps in the classification process include image input, filtering, resizing, data augmentation, and data digitization. The best results were obtained in this test using the SGD optimizer hyperparameter, learning rate 0.001, epoch 20 and batch size 32 producing an accuracy value of 78.87%, a precision value of 75.69%, an AUC value of 79.85% and an f1 score value of 74.67%.
Sistem Deteksi Dini dan Pemadaman Kebakaran Otomatis di Rumah Berbasis IoT Menggunakan NodeMCU ESP32 Saputra, Dimas Bagus; Hidayati, Rahmi; Suhardi, Suhardi
Jurnal Sistem Komputer dan Informatika (JSON) Vol 5, No 3 (2024): Maret 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i3.6974

Abstract

Fire is a serious disaster that causes significant losses in terms of both material assets and loss of life, especially in densely populated residential areas. Fires that occur in one house can easily spread to other houses. To prevent this issue, an early fire detection and automatic fire suppression system has been developed for homes based on the Internet of Things (IoT) using NodeMCU ESP32. This system has the ability to detect early signs of fire, gas, and temperature conditions, and takes automatic action when potential fire hazards are detected. Additionally, the system sends real-time push notifications to users' Android applications to provide warning messages. Test results indicate that the fire sensor can detect flames up to a distance of 130 cm with an average notification delay of approximately 2,37 seconds. The MQ-2 gas sensor can detect butane gas up to a distance of 170 cm with an average notification delay of about 2,84 seconds, while the DHT22 temperature sensor has an average accuracy of approximately 98,52% with a notification delay of about 2,03 seconds.
Rancang Bangun Alat Informasi Penjemputan Siswa Berbasis Mikrokontroller ESP32 Maulana, Irfan; Bachtiar, Moh. Muaz; Fadlun, Wira; Sakti, Fredi Prima
Jurnal Sistem Komputer dan Informatika (JSON) Vol 5, No 3 (2024): Maret 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i3.7510

Abstract

In daily life, the phenomenon of traffic density increases significantly during school hours. There are many ways to overcome this phenomenon, one of which is making a student pickup information tool based on the ESP32 microcontroller. The tool created is in the form of a student pick-up information display, which will display the student's name and class when the parent has correctly entered the code via the web application. Student pickup information tools use hardware and software. The hardware consists of an ESP32 microcontroller as a manager for input data and output data which is the link between the web server and the P10 LED display and the P10 DMD panel to display the name and class data of the students being picked up. Meanwhile, the software uses Arduino IDE software and MySQL database. The results of testing from a series of research shows efficiency and activeness in picking up students with a success percentage of 100% with testing 15 times.
Toxicity Analysis and Sentiment Classification of Wonderland Indonesia by Alffy Rev using Support Vector Machine Singgalen, Yerik Afrianto
Jurnal Sistem Komputer dan Informatika (JSON) Vol 5, No 3 (2024): Maret 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i3.7563

Abstract

The music industry's increasing reliance on digital platforms like YouTube for dissemination raises concerns about the potential impact of music videos on viewer sentiment and well-being. This study seeks to assess the toxicity and sentiment of the Wonderland Indonesia music video by Alffy Rev through Support Vector Machine analysis, contributing to our understanding of the effects of music content on online audiences. This research addresses the challenge of sentiment classification in digital content by leveraging the Cross-Industry Standard Process for Data Mining (CRISP-DM) framework. The study aims to enhance sentiment classification accuracy by applying a Support Vector Machine (SVM) with a Synthetic Minority Over-sampling Technique (SMOTE) to address class imbalance issues. The research problem revolves around the need for robust sentiment analysis models capable of accurately discerning sentiment polarity within diverse datasets. Through the systematic application of CRISP-DM phases - business understanding, data understanding, data preparation, modeling, evaluation, and deployment - the study examines the efficacy of SVM with SMOTE in sentiment classification tasks. The findings demonstrate notable performance metrics, including accuracy (96.50%), precision (95.75%), recall (99.00%), and F-measure (97.34%). The AUC value substantially increases from 0.642 without SMOTE to 0.997 with SMOTE, highlighting its effectiveness in improving sentiment classification accuracy. In addition, The comparative analysis of toxicity values between the first and second videos demonstrates distinct patterns: the first video showcases a Toxicity score of 0.05290, with notable metrics such as Profanity registering at 0.04815. Conversely, the second video exhibits a slightly lower Toxicity score of 0.04744, with varying metrics such as Severe Toxicity at 0.01386.
Analisis Sentimen Ulasan Pengguna Game Pubg Di Google Play Store Menggunakan Algoritma Naïve Bayes Wibowo, Fajar Iqbal; Febriandirza, Arafat
Jurnal Sistem Komputer dan Informatika (JSON) Vol 5, No 3 (2024): Maret 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i3.7264

Abstract

In today's digital era, technological development is very rapid and sophisticated. The online gaming industry has also evolved. Online games are a variant of video games that are played online via the internet. When users connect with other users, users can interact and work together. Battle rolaye games, such as Player Unknown's Battlegrounds (PUBG) have become one of the most popular of the many online games available. PUBG games offer a large-scale gaming experience that creates a dynamic gaming experience. One of the advantages of the PUBG game is that it has an attractive visual design and high quality graphics so that the game feels more realistic. However, this cannot guarantee satisfaction for users. To find out user sentiment towards the PUBG game, sentiment analysis using the Naïve Bayes Algorithm is carried out which aims to find out how accurate the Naïve Bayes Algorithm is used in classification. Data is taken using web scrapping techniques as many as 1000 user reviews in the Google Play Store review column. After going through preprocessing, the data is divided into 50% training data and 50% testing data. Prediction results tend to be positive with 578 positive sentiments and 232 negative sentiments. Based on evaluation using confusion matrix, the results are 83.95% for accuracy, 88.10% for precision, and 89.62% for recall.
Sistem Aplikasi Penggadaian Berbasis Destop Menggunakan Visual Studio.Net Ginting, Jimmy Nganta
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 6 No. 1 (2024): September 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v6i1.8433

Abstract

Pawnshop is a form of non-bank financial institution that has activities to finance the needs of the community. Pegadaian is currently starting to move towards the stage of transformation into a financial company, the change made by this company by creating an application to make it easier for customers to transact. This research aims to design a pawnshop Digital Service application to make it easier for customers to transact at ummar pawn pawnshops. This study uses a qualitative method with a descriptive approach and is analyzed by interviewing pawnshop employees, as well as from pawnshop customers. So with this, PT. Penggadaian , hopes that in the future it will continue to maintain relationships with customers to maintain cooperation, so that it will increase even more in the future, in addition to attracting people to become customers. This pawn application is designed using visual basic software and the database uses access, with this pawn application, it not only helps customers, but also helps admins at PT. Penggadaian in the preparation of pawn evidence and preparation of pawn reports
Penerapan Algoritma Genetika Pada Optimasi Penjadwalan Matakuliah Pada Perguruan Tinggi STMIK Mulia Darma Sihombing, Monang Juanda Tua; M.Rajagukguk, Denni; Panjaitan, Muhammad Iqbal; Manalu, Mamed Rofendi; Simangunsong, Pandi Barita Nauli; Sridewi, Nurmala
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 6 No. 1 (2024): September 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v6i1.8457

Abstract

This research aims to produce an optimal course schedule at STMIK Mulia Darma, with the aim of reducing the number of conflicting courses, equalizing the student burden, and maximizing the use of classrooms. The optimization process is carried out through determining the course schedule using a genetic algorithm. Genetic algorithms were chosen because of their ability to solve large-scale and complex problems, making them suitable for handling complex course scheduling problems that involve many variables and constraints. It is hoped that the results of this study will produce an optimal course schedule, taking into account course clashes, student loads, and classroom use efficiency. After research, the optimal course schedule was obtained.
Pengukuran Kualitas Layanan Perpustakaan dengan Metode Service Quality dan Deepface Menggunakan Ekspresi Wajah Purwawijaya, Ellanda; Singarimbun, Roy Nuary
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 6 No. 1 (2024): September 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v6i1.8460

Abstract

Abstrak? Kualitas layanan merupakan salah satu bagian terpenting dalam pemasaran baik itu barang maupun jasa. Kualitas layanan yang baik tentunya akan memberikan persepsi positif bagi masyarakat, namun sebaliknya jika layanan yang buruk maka akan memberikan persepsi negatif. Layanan yang baik akan memberikan kepuasan bagi pelanggan/pengunjung. Kepuasan layanan produk/jasa merupakan faktor-faktor yang memberikan pengaruh pada sebuah perusahaan. Pengukuran kualitas layanan perpustakaan di Universitas Battuta masih menggunakan kuesioner dengan media kertas. Pada pelaksanaannya, kuesioner ini sering kali diabaikan oleh pengunjung karena pengisian dan waktu pemrosesan yang membutuhkan waktu yang cukup lama serta Universitas Battuta belum memiliki sistem atau perangkat lunak pengukuran kualitas layanan. Sehingga Universitas Battuta mengalami kesulitan dalam memperoleh informasi maupun feedback dari pengunjung terhadap layanan yang telah berjalan selama ini. Penelitian berfokus pada pengembangan dan perancangan sebuah sistem yang mampu mengukur kualitas layanan perpustakaan menggunakan ekspresi wajah pengunjung. Penelitian ini menggunakan metode service quality, dimana pengukuran dilakukan dengan membandingkan antara harapan pengunjung dengan layanan yang diterima oleh pengunjung. Sedangkan metode Deepface digunakan sebagai deteksi ekspresi wajah pengunjung yang mampu mengenali dan menganalisa ekspresi emosional wajah pengunjung ketika memberikan penilaian kunjungan perpustakaan, apakah sangat puas, puas, tidak puas dan sangat tidak puas. Hasil pengujian dari penelitian ini menggunakan 510 sampel wajah menunjukkan hasil akurasi yang sangat baik dengan jarak wajah ke webcam sebesar kurang dari 50 cm. Hasil deteksi ekspresi wajah pengujung menunjukkan hasil yang cukup akurat dalam mengenali ekspresi wajah pengunjung.
Penerapan Metode SAW dengan Pembobotan ROC Dalam Sistem Pendukung Keputusan Penerimaan Beasiswa KIP Kuliah Rahmi, Elvika; Sari, Ika Yusnita; Khairunnisa, Khairunnisa
Jurnal Sistem Komputer dan Informatika (JSON) Vol 6, No 3 (2025): Maret 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v6i3.8606

Abstract

Penelitian ini bertujuan untuk menyeleksi calon penerima beasiswa KIP dari Pemerintah di Universitas Imelda Medan dengan menggunakan metode Simple Additive Weighting (SAW) dengan pembobotan metode Rank Order Centroid (ROC). Hasil dari penelitian ini adalah sebuah sistem pendukung keputusan untuk menilai kelayakan calon penerima beasiswa Kartu Indonesia Pintar (KIP). Hal ini dapat mengatasi permasalahan dalam proses seleksi manual yang membutuhkan banyak waktu dan menangani banyaknya pendaftar dengan cara yang lebih efisien. Metode penelitian ini menggunakan metode observasi, wawancara dan studi pustaka, sehingga dengan teknik model ini memungkinkan penilaian yang lebih objektif dan sesuai dengan kriteria yang telah di tetapkan. Sehingga, hasil dari penelitian ini dapat diperoleh mahasiswa yang disetujui untuk mendapatkan beasiswa KIP sebanyak 2 mahasiswa dengan nilai terbaik mencapai 0.8289

Page 28 of 50 | Total Record : 492

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