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JURNAL TEKNIK INFORMATIKA DAN KOMPUTER
Published by Universitas Muhammadiyah Prof. Dr. Hamka
ISSN : -     EISSN : 28290208     DOI : https://doi.org/10.22236/jutikom.v2i1
Core Subject : Science,
Computer Science & IT
Jurnal Teknik Informatika dan Komputer (JUTIKOM) is a national forum for scientists and engineers involved in all aspects of informatic engineering and computer science to publish high quality and refereed papers. Topics covered by Jurnal Teknik Informatika dan Komputer include but are not limited to: Computer Vision Computer Network Security Natural Language Processing Computer Architecture and Systems Artificial Intelligence and Pattern Recognition Computer Networks and Distributed Computing Computer Graphics and Multimedia Software Systems Data Management and Data Mining
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 35 Documents
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SISTEM PAKAR PENENTUAN JENIS EKSTRAKURIKULER SISWA DENGAN METODE FORWARD CHAINING DI SDN SUKABUMI UTARA 05 PAGI Marcel, Muhammad Hisyam Muzakki; Sinaga, Tamba Erikson; Goldie Gonadi
Jurnal Teknik Informatika dan Komputer Vol. 2 No. 2 (2023): Jurnal Teknik Informatika dan Komputer
Publisher : Universitas Muhammadiyah Prof. DR. HAMKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/jutikom.v2i2.12655

Abstract

Peningkatan kemampuan non akademik siswa dalam minat dan bakat maka seluruh siswa SD Negeri Sukabumi Utara 05 kelas satu hingga kelas enam mengikuti kegiatan ekstrakulikuler yang diselenggarakan oleh sekolah. Ekstrakulikuler terbagi menjadi dua jenis, yaitu ekstrakulikuler wajib dan pilihan, serta nilai dari kegiatan ini akan masuk ke dalam raport. Jenis ekstrakulikuler yang diselenggarakan oleh sekolah yaitu: pramuka, pencak silat, seni musik, seni tari, futsal, dan paskibra. Permasalahnya adalah siswa cenderung bingung untuk memutuskan ekstrakurikuler yang mau dipilih dan Kemampuan yang tidak sesuai membuat siswa menjadi kehilangan minat dalam mengikuti kegiatan ekstrakurikuler. Tujuan penulis melakukan penelitian adalah untuk merancang dan membuat sebuah sistem pakar yang dapat menentukan ekstrakurikuler siswa agar tidak bingung saat menentukan jenis ekstrakurikuler dan untuk merancang dan membuat sistem pakar menggunakan metode forward chaining sehingga siswa menjadi minat dalam mengikuti kegiatan ekstrakurikuler. Teknik pengumpulan data yang digunakan yaitu observasi, wawancara, dan studi pustaka. Metode untuk membuat sebuat sistem neggunakan forward chaining. Pengujian aplikasi menggunakan blackbox. Hasil dari penelitian ini yaitu rancangan dan aplikasi sistem pakar dapat menentukan jenis ekstrakurikuler sehingga siswa tidak bingung lagi saat menentukan ekstrakurikuler pada SDN Sukabumi Utara 05 Pagi dan metode forward chaining dapat diterapkan pada sebuah sistem pakar untuk menentukan jenis ekstrakurikuler sehingga siswa menjadi minat dalam mengikuti kegiatan ekstrakurikuler.
PENGEMBANGAN APLIKASI PENJUALAN FURNITURE BERBASIS CUSTOMER RELATIONSHIP MANAJEMENT (CRM) PADA PLATFORM ANDROID Fajarwibowo, Dhimas; Muhimmah, Izzati
Jurnal Teknik Informatika dan Komputer Vol. 3 No. 1 (2024): Jurnal Teknik Informatika dan Komputer
Publisher : Universitas Muhammadiyah Prof. DR. HAMKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/jutikom.v3i1.13587

Abstract

Trends in interior design, modern lifestyles, and increasing consumer awareness about the beauty and comfort of the home have driven the ever-increasing demand for quality furniture products. In this context, furniture companies are required to not only produce attractive products but also provide superior and personal service to customers. To overcome various challenges in the furniture industry, this research developed a CRM-based furniture sales application on the Android platform. The application is expected to be a solution to improve service to customers. The features provided include displaying furniture stock info along with prices, search features, furniture ordering features, transactions, purchase history, features for analyzing customer preferences based on product type criteria, and shipping. The methods used include literature studies, site surveys where the application will be used, needs analysis, application design, application development, implementation, and testing. The results of functionality testing show that the application has functioned as expected.
PREDIKSI PENJUALAN HT MOTOROLA XIR C2660 MENGGUNAKAN ALGORITMA SUPPORT VECTOR REGRESSION (STUDI KASUS: CV. ALFACOMS) Wildwina; Ryan Putranda Kristianto
Jurnal Teknik Informatika dan Komputer Vol. 3 No. 1 (2024): Jurnal Teknik Informatika dan Komputer
Publisher : Universitas Muhammadiyah Prof. DR. HAMKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/jutikom.v3i1.13836

Abstract

In carrying out a business that operates in the field of selling goods, predictions are very necessary. Predictions are very necessary because making predictions can help predict what will happen in the future so that the risks that will occur can be minimized as small as possible. This research focuses on sales predictions in 2023 for the HT Motorola XiR C2660 brand using the SVR (support vector regression) algorithm and using linear type kernel parameter testing and c(cost) with a test value of 0.1. To obtain parameter types and parameter test values, use the GridSearchCV technique. Apart from that, this research uses error value testing with mean absolute percentage error (MAPE). So the results of the HT Motorola XiR C2660 sales prediction for 2023 with the SVR algorithm were obtained. In 2023, 209 units were sold with an error value of 11.23%, which means the forecasting ability with the SVR algorithm is good.
PENGUJIAN ALGORITMA INCEPTION V3 DALAMMENGIDENTIFIKASI PENYAKIT TUBERCULOSIS DAN PNEUMONIA Kosman, Alvin Widyadhana; Wahyuningsih, Yulia; Mahendrasusila, Fernandi
Jurnal Teknik Informatika dan Komputer Vol. 3 No. 1 (2024): Jurnal Teknik Informatika dan Komputer
Publisher : Universitas Muhammadiyah Prof. DR. HAMKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/jutikom.v3i1.13879

Abstract

According to the World Health Organization (WHO), Tuberculosis and Pneumonia are two of the 10 biggest causes of death in the world. To reduce the risk of contracting both diseases, early and accurate diagnosis is needed. One way to achieve early and accurate diagnosis is to integrate image processing into the diagnosis process. The aim of this research is to test the CNN Inception V3 algorithm in identifying a case of Tuberculosis and Pneumonia disease by using a photo of electromagnetic radiation from a person's body wavelength. From the photos, the results obtained were the percentage of accuracy of x-ray photos of normal lungs is 99.63%, the percentage of accuracy of x-ray photos of tuberculosis lungs is 99.82% and the percentage of accuracy of x-ray photos of lungs with pneumonia is 99.69%.
ANALISIS KEBUTUHAN ARSITEKTUR DAN DESAIN ANTARMUKA SISTEM MANAJEMEN RISIKO BERBASIS PENELITIAN HAOUSE OF RISK PADA INSTITUSI PENDIDIKAN Intan Dzikria; Nabila Amanda Maharani
Jurnal Teknik Informatika dan Komputer Vol. 3 No. 1 (2024): Jurnal Teknik Informatika dan Komputer
Publisher : Universitas Muhammadiyah Prof. DR. HAMKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/jutikom.v3i1.14535

Abstract

Risk management in educational institutions plays an important role because the educational environment will always change and become increasingly complex. Risk management can provide support to educational institutions to identify, assess and manage risks in a systematic and structured way. House of Risk (HOR) is an approach used to manage risk and focuses on formulating preventive actions and handling the causes of risk, by combining FMEA and HOQ principles. This research aims to design an architectural requirements analysis and risk management system interface design using the design thinking stages. This research produces an architectural design, software requirements, and interface design for a higher education risk management system. The user interface design was tested using usability testing with a score of 87.5, which shows that the interface design is useful for various system actors. The results of this research can be a reference for further research in implementing the creation of a HOR-based risk management system in web-based educational institutions.
Sistem Pakar Kerusakan Mesin Kopi Espresso Lamarzocco di Kopi Daripada dengan Metode Forward Chaining Rizal; Rafi Aulia Akbar; Ahmad Gunawan
Jurnal Teknik Informatika dan Komputer Vol. 3 No. 1 (2024): Jurnal Teknik Informatika dan Komputer
Publisher : Universitas Muhammadiyah Prof. DR. HAMKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/jutikom.v3i1.14624

Abstract

Each tool and part contained in a coffee maker has its own level of importance and may not function optimally. This problem often becomes a problem for users or bartenders on duty at work. To overcome this problem, this can be done by someone who has basic knowledge of Lamarzocco coffee makers. However, sometimes these problems also require a high level of expertise from the components so that special technicians are needed to repair them. How to design an expert system application with the forward chaining method to diagnose failures in Lamarzocco coffee machines. In this research the author used the PHP programming language and MySQL database. The research method used by the author is data collection, analysis and object-oriented programming. The program can then be accessed on the website for ease of use, which will then be black box tested with the manager or supervisor of the relevant point of sale. The results of research on the design and application of an expert system using the forward chaining method can diagnose damage to an espresso coffee maker (Lamarzocco coffee maker), this expert system application can be used to assist employees in handling damage to a Lamarzocco espresso machine very well without any problems occurring, and From the results of trials using black box testing on the Lamarzocco coffee machine damage expert system application, we got good results
Analisis Prediksi Jumlah Pengunjung Perpustakaan Berdasarkan Jenis Kelamin di Kabupaten Malang dengan Menggunakan Metode Monte Carlo Rifki, Achmad; Muhammad Fikrul Azizi; Soffiana Agustin
Jurnal Teknik Informatika dan Komputer Vol. 3 No. 2 (2024): Jurnal Teknik Informatika dan Komputer
Publisher : Universitas Muhammadiyah Prof. DR. HAMKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/jutikom.v3i2.15265

Abstract

Libraries are crucial institutions supporting the development of education and knowledge within society. As centers of information, they serve not only as repositories for books and other informational resources but also as spaces for learning and interaction for diverse segments of the population. Therefore, understanding visitor numbers and their visiting patterns is crucial for library managers to enhance planning and optimize services. This study aims to analyze predictions of library visitor numbers in Malang Regency using the Monte Carlo method. The research utilizes data on visitor counts by gender from 2018 to 2020 obtained from the Department of Libraries and Archives in Malang Regency. These data will be used to forecast visitor numbers for the years 2019 to 2021. The analysis reveals that the most accurate prediction occurred in 2019, achieving a 52% accuracy rate. Lower accuracy in subsequent years was attributed to the COVID-19 pandemic, which restricted public movement and non-essential outings.
PENGEMBANGAN GAME EDUKASI 2D MATA PELAJARAN IPA MENGGUNAKAN UNITY BERBASIS MOBILE Prayudha, Ilham Teguh; Chotijah, Umi
Jurnal Teknik Informatika dan Komputer Vol. 3 No. 2 (2024): Jurnal Teknik Informatika dan Komputer
Publisher : Universitas Muhammadiyah Prof. DR. HAMKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/jutikom.v3i2.15933

Abstract

Technological advances have had a great influence in various areas of life, including in the digital entertainment industry such as video games. There are many children who are more interested in playing games than learning, which can result in a decrease in interest in learning academic activities. Therefore, finding an effective method to balance children's interest in learning by playing games is very important. One solution is to create  educational games that provide a fun and interactive learning experience. This research aims to develop an  educational game that can help children play while learning. The development  of  2D educational games for science subjects uses Unity Engine and MDLC (Multimedia Development Life Cycle) as development methods. From the results of the discussion, the creation of the game was successful. Based on the results of application testing that has been carried out on  educational games, all components  of this game function properly and there are no problems. In addition, beta testing shows that this educational game has been proven to be able to increase students' interest in learning
Klasifikasi Penyakit dan Kelainan Bentuk Kuku Manusia Menggunakan Convolutional Neural Network Madani, Rafika Aulia; Nunik Pratiwi
Jurnal Teknik Informatika dan Komputer Vol. 3 No. 2 (2024): Jurnal Teknik Informatika dan Komputer
Publisher : Universitas Muhammadiyah Prof. DR. HAMKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/jutikom.v3i2.16891

Abstract

Nails are one of the body parts that have an important role, because nails can provide signals of a disease starting from the color, shape, and size of the nails. This study aims to identify diseases and abnormalities of human nail shape using digital images. This study uses seven classes of diseases, namely beausline, clubbing, koilonychia, yellow nail, white nail, onychomycosis, and normal nail. To identify diseases and abnormalities of human nail shape, the method used is Convolutional Neural Network with VGG-16 architecture. The results obtained from this study are an accuracy of 92.9% from a total dataset that has been augmented as much as 3900 data, for an average precision measurement result of 86.1%, an average recall result of 85.8%, an average f-1 score result of 85.8%.
Penerapan Support Vector Machine Untuk Analisis Sentimen pada X (Twitter) Mengenai Obat Penyebab Gagal Ginjal Akut pada Anak Salsabilla, Tasya Rizki; Nunik Pratiwi
Jurnal Teknik Informatika dan Komputer Vol. 3 No. 2 (2024): Jurnal Teknik Informatika dan Komputer
Publisher : Universitas Muhammadiyah Prof. DR. HAMKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/jutikom.v3i2.16892

Abstract

In October 2022, there were many cases of children suffering from acute kidney failure due to harmful chemical compounds detected in the history of children's cough medicine use. The statement caused controversy and became a conversation on social media, especially Twitter. Exploring this opinion can lead to a decision that can be applied in machine learning and sentiment analysis, namely support vector machines (SVM). The purpose of this research is to find out the sentiment of the community towards drugs that cause acute kidney failure in children and see the performance of the support vector machine algorithm. The data used was 1128. Based on the results of the study, the community responded negatively to this topic, as evidenced by the fact that the negative sentiment obtained was greater than the positive sentiment, and the support vector machine algorithm with a linear kernel performed very well, as evidenced by the excellent accuracy value of 91%.

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