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INDONESIA
Jurnal Informatika Upgris
Published by Universitas PGRI Semarang
ISSN : 24604801     EISSN : 24776645     DOI : -
Core Subject : Science,
Computer Science & IT
Journal of Informatics UPGRIS published since June 2015 with frequency 2 (two) times a year, ie in June and December. The editors receive scientific writings from lecturers, teachers and educational observers about the results of research, scientific studies and analysis and problem solving closely related to the field of Information Technology and Communications / Informatics.
Arjuna Subject : -
Articles 5 Documents
 1 
Search results for , issue "Vol 11, No 1: JUNI 2025" : 5 Documents clear
Klasifikasi Tingkat Kelayakan Tabung Gas Menggunakan Metode Support Vector Machine dan K-Nearest Neigbor Hakim, Alvin Rainaldy
Jurnal Informatika UPGRIS Vol 11, No 1: JUNI 2025
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v11i1.23253

Abstract

Tabung Gas LPG ukuran 3 KG merupakan tabung Gas yang paling sering kita temui dipasaran. Selain harganya yang ekonomis, tabung gas ukuran ini adalah satu-satunya tabung gas yang disubsidi oleh permerintah dan masyarakat paling sering memakai tabung gas jenis. Tabung gas ukuran 3 KG juga merupakan sebuah tabung yang paling sering meledak dan mengalami kerusakan untuk itu perlu adanya sebuah pengujian atau riset yang membahas tentang hal ini. Untuk membuat system yang baik maka diperlukan suatu algoritma yang baik pula dan salah satu algoritma yang paling popular saat ini adalah SVM dan KNN. Hasil dari kedua algoritma tersebut sama-sama bagus, hal ini terbukti bahwa kedua algoritma tersebut mampu memperoleh nilai akurasi sempurna. Namun disini K-NN sedikit diunggulkan dikarenakan K-NN memperoleh hasil nilai akurasi 100% pada K- 1 di semua sudut sebelum diptimasi, Bahkan sesudah diptimasipun K-NN masih mendapat akurasi 100% dan nilai akurasi terendah yang diperoleh K-NN sebesar 86,90% pada K-9 dan sudut 45o . yang sudah dioptimasi menggunakan PSO. Sedangkan SVM memperoleh nilai akurasi tertinggi sebesar 100% pada sudut 45o dan akurasi terendah 98,61 % pada semua sudut kecuali sudut 45o yang sudah dioptimasi menggunakan PSO. Hal yang perlu digaris bawahi pada penelitian ini yaitu PSO pada kondisi tertentu bisa menurunkan nilai akurasi suatu algoritma.
Pengaruh Sistem Rekomendasi Berbasis AI terhadap Kepuasan dan Niat Berkelanjutan Pengguna Layanan Video Streaming pada Mahasiswa di Surabaya Rachman, Savira Narita
Jurnal Informatika UPGRIS Vol 11, No 1: JUNI 2025
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v11i1.23160

Abstract

The rapid digital transformation has driven entertainment platforms like Netflix to adopt artificial intelligence (AI) in their recommendation systems to enhance users’ personalized experiences. Although this system can suggest relevant content, its effectiveness in meeting user expectations and sustaining long-term satisfaction still requires further examination. This study aims to analyze the impact of AI-based recommendation systems on user satisfaction and continuance intention on Netflix using the Expectation Confirmation Model (ECM). The model evaluates the relationship between expectation confirmation, perceived usefulness, satisfaction, and continuance intention. A quantitative approach was employed through survey techniques, distributing questionnaires to Netflix users in Indonesia. The collected data were analyzed using descriptive and inferential statistical methods to examine the relationships among variables. The findings reveal that the AI recommendation system significantly influences user satisfaction, mediated by perceived usefulness and expectation confirmation. These results highlight the importance of accurate and diverse recommendations in maintaining user loyalty. This research contributes theoretically to understanding the sustainable use of AI-based digital services, particularly in the context of online entertainment in Indonesia.
Analysis of ChatGPT Acceptance by Teachers Using the TAM Model: Case Study at Hangtuah 2 Sidoarjo High School Putra, Geovano Galan Widiatmoko
Jurnal Informatika UPGRIS Vol 11, No 1: JUNI 2025
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v11i1.23159

Abstract

Kemajuan teknologi yang pesat telah mempercepat adopsi Kecerdasan Buatan (AI) di berbagai sektor, termasuk pendidikan. Salah satu aplikasi AI yang semakin populer adalah penggunaan ChatGPT sebagai alat bantu pembelajaran. Namun, penerimaan teknologi ini di kalangan pendidik masih menghadapi beberapa tantangan, khususnya terkait persepsi kegunaan dan kemudahan penggunaan. Penelitian ini bertujuan untuk menganalisis faktor-faktor yang mempengaruhi penerimaan guru terhadap ChatGPT di SMA Hangtuah 2 Sidoarjo dengan menggunakan pendekatan Technology Acceptance Model (TAM). Metode kuantitatif digunakan, memanfaatkan Partial Least Square - Structural Equation Modeling (PLS-SEM) untuk analisis data, yang dilakukan dengan perangkat lunak SmartPLS. Data dikumpulkan melalui kuesioner yang dibagikan kepada semua guru sebagai responden. Temuan penelitian mengungkapkan bahwa Perceived Usefulness (PU) dan Attitude Toward Using (ATU) memiliki pengaruh yang signifikan terhadap Behavioral Intention (BI), sedangkan Perceived Ease of Use (PEOU) mempengaruhi PU tetapi tidak secara langsung mempengaruhi ATU. Hasil-hasil ini menunjukkan bahwa persepsi mengenai kegunaan teknologi memainkan peranan yang lebih penting daripada kemudahan penggunaan dalam membentuk niat guru untuk mengadopsi ChatGPT di kelas.
ANALISIS SPASIAL KEJADIAN TUBERKULOSIS DENGAN ASPEK KESEHATAN LINGKUNGAN DI WILAYAH KERJA PUSKESMAS KUNDURAN KABUPATEN BLORA TAHUN 2021 maharrani, agustia hera; wulandari, fitria; wardoyo, Agung
Jurnal Informatika UPGRIS Vol 11, No 1: JUNI 2025
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v11i1.23445

Abstract

Abstrac One of the infectious diseases that causes tuberculosis is Mycobacterium tuberculosis, which is still a health problem in Indonesia. The number of Tuberculosis cases in Kunduran District is 28 cases in 2021. The purpose of this study is to spatially analyze the distribution of Tuberculosis cases in the Kunduran Health Center Work Area based on age, gender, education, occupation, smoking habits, alcohol consumption habits, environmental conditions of patients which includes house ventilation, house floor type, house wall type, temperature, house occupancy density, and humidity.Observational research with the interview method is the type of research used in this study. The population in this study were all tuberculosis patients. Tuberculosis patients with complete addresses were used as research samples. Data on pulmonary tuberculosis patients were obtained from the UPTD of the Kunduran Health Center. Respondent identity data obtained from interviews and the location of the coordinates through the Google Maps application. Data analysis was performed using the Statistical Package for the Social Sciences (SPSS) and Quantum GIS software.The results of the study revealed that the majority of respondents were of productive age (15-64 years) (82.6%), male (60.9%), elementary school education level (56.5%), working (60.9% ), has no history of alcohol consumption (100%), smoking (52.2%), house ventilation that meets the requirements (60.9%), floor of the house that does not meet the requirements (56.5%), walls of the house that do not meet the requirements requirements (52.2%), house temperature that does not meet the requirements (69.6%), occupancy density of houses that meet the requirements (82.6%), humidity that meets the requirements (95.7%). Suggestion: The health office and Puskesmas can provide education on healthy homes and clean and healthy living behaviors
Penerapan Manajemen Risiko dalam Aplikasi Maxim: Pendekatan ISO 31000 untuk Menjamin Keberlanjutan Layanan Ardhani, Alvina Waihda
Jurnal Informatika UPGRIS Vol 11, No 1: JUNI 2025
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v11i1.21189

Abstract

Risk management is a crucial aspect in the success of digital application management, including Maxim, which is an online transportation service. This study aims to analyze the implementation of risk management in the Maxim application with the ISO 31000 approach and qualitative methods. The steps in the study include risk identification, risk analysis, risk evaluation, and implementation of mitigation plans based on the ISO 31000 framework. Data were collected through interviews with related parties, document reviews, and operational observations of the application. The results of the analysis show that the main risks in the Maxim application include technical disruptions, user data leaks, and reputation risks due to inconsistent services. With the ISO 31000 systematic approach, this study offers strategic recommendations to mitigate these risks, ensure operational sustainability, and increase user trust in the Maxim application.

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