Garuda - Garba Rujukan Digital

Analisis Penyebab Rendahnya Penggunaan Dompet Elektronik (E-Wallet) Berdasarkan Kelompok Umur Di Indonesia Khaira, Mulil; Dirgahayu, R Teduh; Hidayat, Taufiq
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i2.363

The number of internet users in Indonesia are high, but there is a gap in the number of users e-wallet based on age groups in Indonesia. For example, the low use of e-wallets among the 18-24 year age group and among the 40-year-old age group. Even though e-wallets offer many benefits for their users. Therefore, this study aims to determine the factors causing the low use of e-wallets among the 18-24 year age group and those over 40 years of age. This study uses UTAUT2 as the basic framework and the Security variable as an additional variable. Data collection was carried out online using google form to 117 respondents. The software for data analysis is SmartPLS. The results in the 18-24 year age group are Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Hedonic Motivation, Price Value and Habit affect Behavioral Intention positively and Facilitating Conditions, Behavioral Intention affect Use Behavior positively. Whereas in the age group over 40 years, Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Hedonic Motivation, Price Value, Security affect Behavioral Intention positively and Facilitating Conditions, Habit, Behavioral Intention affect Use Behavior positively.

Analisis Penyebab Rendahnya Penggunaan Dompet Elektronik (E-Wallet) Berdasarkan Kelompok Umur Di Indonesia Khaira, Mulil; Dirgahayu, R Teduh; Hidayat, Taufiq
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i2.363

The number of internet users in Indonesia are high, but there is a gap in the number of users e-wallet based on age groups in Indonesia. For example, the low use of e-wallets among the 18-24 year age group and among the 40-year-old age group. Even though e-wallets offer many benefits for their users. Therefore, this study aims to determine the factors causing the low use of e-wallets among the 18-24 year age group and those over 40 years of age. This study uses UTAUT2 as the basic framework and the Security variable as an additional variable. Data collection was carried out online using google form to 117 respondents. The software for data analysis is SmartPLS. The results in the 18-24 year age group are Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Hedonic Motivation, Price Value and Habit affect Behavioral Intention positively and Facilitating Conditions, Behavioral Intention affect Use Behavior positively. Whereas in the age group over 40 years, Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Hedonic Motivation, Price Value, Security affect Behavioral Intention positively and Facilitating Conditions, Habit, Behavioral Intention affect Use Behavior positively.

Sistem Pelacakan COVID-19 Berbasis Komputasi Pervasif dengan Algoritma Haversine Khaira, Mulil; Septian Eko Prasetyo; Galih Malela Damaraji; Alfian Ardhiansyah; Ajeng Rahma Sudarni
Jurnal Cakrawala Informasi Vol 5 No 1 (2025): Juni : Jurnal Cakrawala Informasi
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) - Institut Teknologi dan Bisnis Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jci.v5i1.579

Virus Corona (COVID-19) telah ditetapkan oleh WHO sebagai pandemi global. Virus ini telah menyebabkan kematian di hampir seluruh negara di dunia. Untuk mencegah penyebaran COVID-19, pemerintah di beberapa negara menerapkan pembatasan jarak fisik. Namun, informasi mengenai lokasi-lokasi yang terinfeksi COVID-19 masih kurang tersedia. Menghindari zona merah COVID-19 merupakan langkah penting untuk meminimalkan penyebaran yang lebih luas. Dalam penelitian ini, dikembangkan perangkat mobile untuk memberikan informasi tentang COVID-19 berdasarkan konteks lokasi dan waktu. Sistem ini mampu memberikan peringatan secara otomatis jika pengguna memasuki area zona merah, yaitu lokasi yang telah dikonfirmasi terdapat pasien positif COVID-19. Data koordinat lokasi secara otomatis direkam oleh petugas medis yang menangani pasien positif corona di tempat kerja. Algoritma haversine digunakan untuk mengukur jarak antara lokasi pengguna saat ini dengan lokasi infeksi COVID-19. Hasil penelitian menunjukkan bahwa sistem dapat memberikan peringatan dan notifikasi melalui aplikasi ketika pengguna memasuki zona merah sesuai dengan radius yang telah ditetapkan.

Penguatan Tata Kelola Koperasi Berbasis Digital di Desa Wisata Candirejo Magelang: Upaya Meningkatkan Efisiensi dan Akuntabilitas Susanti, Anis; Ismiyati, Ismiyati; Arief, Sandy; Budiantoro, Risanda Alirastra; Khaira, Mulil
Lamahu: Jurnal Pengabdian Masyarakat Terintegrasi Vol 4, No 2: August 2025
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/ljpmt.v4i2.32553

This community service program aims to strengthen the governance of the Candirejo Tourism Village Cooperative in Magelang through the digitalization of archiving and financial recording systems. The main issue addressed is the limited use of information technology, as administrative and financial records are still managed manually, resulting in inefficiency and low accountability. A participatory approach was applied, including digital archive management training and the development of a web-based information system. The training involved 30 participants and was followed by intensive assistance for system implementation. The results show that 87% of participants demonstrated improved competence in using the system, 92% of physical archives were digitized, and 94% of financial transactions were accurately recorded in the new system. Moreover, 85% of sales reports can now be accessed in real time by cooperative managers. These measurable outcomes indicate that combining participatory training with context-appropriate technology significantly enhances efficiency, accuracy, and transparency in cooperative management. The program is expected to be expanded through follow-up training, policy support at the village level, and collaboration with technology providers to sustain and further develop the system.

Benchmarking YOLOv3 and SSD: A Performance Comparison for Multi-Object Detection Prasetyo, Septian Eko; Atmaja, Chandra; Ardian, Muhammad; Ardhiansyah, Alfian; Sudarni, Ajeng Rahma; Khaira, Mulil
Edu Komputika Journal Vol. 11 No. 2 (2024): Edu Komputika Journal
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edukom.v11i2.28005

Multiple object detection remains a significant challenge in the field of computer vision. One of the key factors affecting detection performance is the feature extraction process, especially when objects are relatively small or positioned closely together. This study aims to compare the effectiveness of two popular object detection models, YOLO (You Only Look Once) and Single Shot MultiBox Detector (SSD), in detecting multiple objects within images. These models were selected due to their reported high accuracy and real-time processing capabilities, outperforming traditional methods such as the Hough Transform, Deformable Part-based Models (DPM), and conventional CNN architectures. The models were evaluated using a subset of the PASCAL VOC dataset, which includes object categories such as aircraft, faces, cars, and others, with a total of 1,447 annotated images used in training and testing. The evaluation metric used was mean Average Precision (mAP) to assess detection accuracy. Experimental results indicate that YOLO achieves a mAP of 82.01%, while SSD achieves 70.47%. These findings demonstrate that YOLO provides better performance in detecting multiple objects under the same conditions. Overall, this study confirms the advantages of YOLO in scenarios requiring fast and accurate multi-object detection, highlighting its potential for deployment in real-time applications such as autonomous vehicles, surveillance systems, and robotics. The main contribution of this study lies in providing a comparative performance benchmark between YOLO and SSD on a standard multi-object dataset to guide practical model selection in real-time computer vision tasks.

Ontology Engineering for Modeling National Student Achievements in Higher Education Sudarni, Ajeng Rahma; Prasetyo, Septian Eko; Ardhiansyah, Alfian; Khaira, Mulil
Edu Komputika Journal Vol. 11 No. 2 (2024): Edu Komputika Journal
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edukom.v11i2.28254

The need for structured and semantically rich data in higher education underscores the role of ontology-based knowledge modeling. This study develops an ontology to represent national-level student achievements, covering key aspects such as institution, achievement field, category, year, level, and student status. Using a formal ontology engineering approach, the ontology was developed in Protégé and encoded in OWL. Evaluation involved technical validation and reasoning tests including class subsumption, consistency checking, instance classification, and rule-based inference to assess logical soundness and semantic correctness. Description Logic (DL) queries were also executed based on competency questions to evaluate the ontology’s ability to support semantic querying. The results demonstrate that the ontology effectively supports knowledge inference and structured data retrieval, offering strong potential for integration within semantic web environments. This provides a foundation for data interoperability and knowledge sharing across educational systems at the national level. Future work includes expanding the ontology to incorporate dynamic achievement updates and linking with external educational data sources.

Decision Support System for Employee Bonus Recommendation Using Fuzzy Logic Ardhiansyah, Alfian; Sudarni, Ajeng Rahma; Khaira, Mulil; Prasetyo, Septian Eko
Journal Sensi: Strategic of Education in Information System Vol 11 No 2 (2025): Journal SENSI
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/sensi.v11i2.4069

A decision support system is indeed something that should be used to make it easier for organizations to determine a policy. With the existence of information technology, all data analysis and calculation is carried out automatically through computers. Similarly, in making recommendations to give bonuses to an employee in a company or institution. To speed up the decision-making process, a system is needed that can provide recommendations like calculations made by human intelligence. The system was developed using the fuzzy logic method that expresses classical logic into linguistic forms. The advantage offered by this logic is that it produces a more just and humane decision such as a decision that results from human feelings and thoughts. This system uses four variables used to determine the receipt of bonus wages, namely the age of the employee, the length of service, the amount of salary and productivity in one month. Each of these variables has a linguistic variable that is used to represent a certain state or condition that utilizes natural language. This research produces a system that can provide recommendations for organizations or companies to use in determining the receipt of bonus wages in accordance with the rules applied.

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