cover
Contact Name
Akbar Iskandar
Contact Email
akbariskandar@akba.ac.id
Phone
+6285255726616
Journal Mail Official
lp2m@unitama.ac.id
Editorial Address
Jalan Perintis Kemerdekaan, Km.9, No.75, Tamalanrea, Tamalanrea Jaya, Kota Makassar, Sulawesi Selatan 90245, Indonesia.
Location
Kota makassar,
Sulawesi selatan
INDONESIA
Inspiration: Jurnal Teknologi Informasi dan Komunikasi
ISSN : 20886705     EISSN : 26215608     DOI : https://doi.org/10.35585/inspir.v12i2.21
Core Subject : Science,
Inspiration: Jurnal Teknologi Informasi dan Komunikasi is a scientific journal that publishes research results in the field of Information and Communication Technology (ICT). The ICT research area that is the focus of this journal can be seen on the Focus and Scope page. Journals are published twice a year, in June and December. Papers submitted for Inspiration: Jurnal Teknologi Informasi dan Komunikasi in volume 12 Number 2 in 2022, using a new template and be written in English for an initial review stage by the editor and a further review process by a minimum of two reviewers. This is a peer-review journal in information technology and communication research fields. Focus and scope of this journal deal with some research topics, including: - Artifical Intelligence - Database - Data Communication - Computer Networks - Software Engineering - Human Computer Interaction - Microcontrollers - Robotics - Data Mining - Image Processing - Information Retrieval - Natural Language Processing - Content Based Image Retrieval - Green Computing - Internet of Things
Articles 68 Documents
Mobile Web-Based Information System As Information For Searching For Boarding Houses For Students Marlia Sari; Lusia Septia ER; Muhammad Junaidi
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol. 14 No. 1 (2024): Inspiration: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Pusat Penelitian dan Pengabdian Pada Masyarakat Sekolah Tinggi Manajemen Informatika dan Komputer AKBA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35585/inspir.v14i1.77

Abstract

Boarding houses or often called boarding houses are a necessity for the community, especially students and pupils, who are looking for a temporary place to live for those who are completing their education. Information about boarding houses usually comes from word of mouth and people don't yet know complete information about the boarding house. To overcome the problems that occur, this mobile web-based boarding house information system is useful for helping students and pupils in finding boarding house information that suits their wishes and making it easier for owners to market boarding houses. The method used to build a boarding house information system is to use the SDLC (System Development Life Cycle) method with the MySQL programming language as a database on XAMPP. This system is also supported by Google Maps which makes it easier for searchers to find the location of the desired boarding house. The final result of designing and building a mobile web-based boarding house information system can make it easier for students and students to find boarding houses.
Development Of Ship Archive Information System In XYZ Company With Scrum Methodology Insanittaqwa, Vika; Putera, M. Ihsan Alfani; Shidiq, M. Fathurrahman
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol. 14 No. 1 (2024): Inspiration: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Pusat Penelitian dan Pengabdian Pada Masyarakat Sekolah Tinggi Manajemen Informatika dan Komputer AKBA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35585/inspir.v14i1.79

Abstract

XYZ Company, a shipping agency in Balikpapan, handles the management of documents related to ships docking or sailing from the port. Currently, the document management process relies on manual, paper-based procedures, lacking a digital system to integrate all administrative processes. This manual approach is time-consuming, as staff need to search for and store physical documents in storage cabinets, which also occupy significant office space and pose a risk of document damage over time. The purpose of this research is to develop a web-based information system for document processing at XYZ Company, aiming to streamline the documentation process for ship archives. The development follows the Agile methodology using Scrum to adapt to evolving requirements throughout the development process. The stages of this research include Requirement Gathering, Sprint Planning, Daily Meetings, Sprint Reviews, Sprint Retrospectives, and Deployment. A total of 55 Product Backlogs were completed over three Sprints. Black Box testing was conducted at each iteration with the supervision of XYZ Company staff, yielding satisfactory results. The outcome of this research is an integrated Ship Archive Information System hosted on XYZ Company’s server, providing a robust solution to the ship documentation problem.
Optimizing Brand Loyalty: The Effectiveness of Influencer Marketing and Digital Content Campaigns Mediated By Consumer Trust Aldi, Muhammad; Adisaputra, Whisnu
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol. 14 No. 1 (2024): Inspiration: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Pusat Penelitian dan Pengabdian Pada Masyarakat Sekolah Tinggi Manajemen Informatika dan Komputer AKBA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35585/inspir.v14i1.80

Abstract

This study explores how influencer marketing and digital content campaigns affect brand loyalty, with consumer trust acting as a mediator, within Polewali Mandar Regency. Using a quantitative approach and Structural Equation Modeling (SEM), data were gathered from 100 local consumers who interacted with these marketing tactics. The findings indicate that influencer marketing and digital content campaigns significantly boost consumer trust, which in turn, greatly impacts brand loyalty. The model accounts for 52% of the variance in consumer trust and 62% in brand loyalty, underscoring the success of these digital strategies. Direct effects show strong connections between influencer marketing, digital content campaigns, consumer trust, and brand loyalty, while indirect effects highlight the essential role of consumer trust as a mediator. These results support existing research that emphasizes the importance of trust in building lasting consumer relationships. The study suggests that businesses should focus on trust-building in their digital marketing strategies to enhance brand loyalty. By creating engaging and credible content, businesses can foster consumer trust, leading to higher customer retention and long-term business success. This research offers valuable insights for local businesses in Polewali Mandar Regency to optimize their digital marketing efforts, ensuring lasting customer engagement and loyalty.
Analyzing Student Academic Achievement Using Machine Learning Techniques at Senior High School Darunnajah Jakarta Panggabean, Supriadi; Wahyu Joko Saputro
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol. 14 No. 1 (2024): Inspiration: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Pusat Penelitian dan Pengabdian Pada Masyarakat Sekolah Tinggi Manajemen Informatika dan Komputer AKBA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35585/inspir.v14i1.81

Abstract

Education provides a very important role in improving the quality of life in society in a country. With a large number of students in each class, it can cause the material to not be delivered properly. Therefore, it is necessary to group students based on their learning ability. The data used was obtained from Senior High School (SMA) Darunnajah Jakarta. Darunnajah High School Jakarta is one of the educational institutions under the auspices of Darunnajah Islamic Boarding School. Data mining techniques with classification methods are proposed to predict student performance in class. The results of student classification can be used as a reference in providing material according to their learning ability. The aim of this research is to ascertain the optimal classification algorithm and pinpoint the key factors influencing students' academic standing. Various classification methods, including logistic regression, KNN, and SVM, were employed in this study. The performance of these models was assessed using diverse metrics such as the f1 score, ROC curve, and performance matrix. Ultimately, the SVM algorithm demonstrated the highest accuracy, achieving an 84% accuracy rate compared to KNN and logistic regression.
Infant Vulnerability Detection At 0-1 Years Old Affected By Stunting Using The K-Nearest Neighbor Algorithm Abdul Kholik, Moh; Cucut Hariz Pratomo
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol. 14 No. 1 (2024): Inspiration: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Pusat Penelitian dan Pengabdian Pada Masyarakat Sekolah Tinggi Manajemen Informatika dan Komputer AKBA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35585/inspir.v14i1.82

Abstract

The toddler age represents a period of significant growth and development for a child. The 2022 Indonesian Nutrition Status Survey (SSGI), conducted by the Central Java Health Office, reports a prevalence of stunting in Temanggung at 28.9%, equating to 29 stunted toddlers out of 100. This figure is higher than the average stunting prevalence in Central Java, which stands at 20.8%. The survey also indicates that the prevalence of stunting in toddlers aged 0-1 years is higher than the overall prevalence. Consequently, it is estimated that the number of toddlers aged 0-1 years affected by stunting in Temanggung Regency over the past three years (2021-2023) ranges from 15,000 to 20,000 toddlers. The objective of this study is to ascertain the nutritional status of toddlers by utilizing the K-Nearest Neighbors (KNN) algorithm and to evaluate its accuracy in making such determinations. The results of the test on 3,999 data points indicate that the KNN algorithm can accurately classify the stunting status of children based on age and height with the highest accuracy and the smallest error rate. This is observed at a k-value of 5, with an accuracy rate of 0.999.
Designing A Web-Based Reporting Application For Elementary School Kompleks Sambung Jawa Asnimar; Akbar Iskandar; First Wanita; Kamaruddin; Erwin Gatot Amiruddin; Akbar Hendra; Mansyur; Oluwaseun Tobechukwu
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol. 14 No. 1 (2024): Inspiration: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Pusat Penelitian dan Pengabdian Pada Masyarakat Sekolah Tinggi Manajemen Informatika dan Komputer AKBA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35585/inspir.v14i1.89

Abstract

The management of student report cards at the Sambung Jawa Complex Elementary School still uses Microsoft Excel which can cause the data processing process to be less efficient and prone to errors. The aim of this research is to build a report card application that can increase the efficiency and accuracy of processing student report card data, as well as facilitate access and management of data by teachers and administrative staff. The method used in designing this application is the FAST method (Framework for the Application of Systems Thinking), which includes the stages of requirements analysis, system design, and implementation. Meanwhile, the testing method used is the black box method, which focuses on testing the functionality of each feature in the application without looking at its internal structure. The results of this research show that the designed web-based report card application can run well and fulfill the needs of report card management at the Sambung Jawa Complex Elementary School. This application has succeeded in increasing the efficiency and accuracy of processing report card data, as well as making data access and management easier by the school.
Water Quality Control and Monitoring at The Patih Drinking Water Depot Based on Nodemcu ESP32 St. Nurhayati Jabir; Asyraful Insan Asry; Rahmat Hidayat
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol. 14 No. 2 (2024): Inspiration: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Pusat Penelitian dan Pengabdian Pada Masyarakat Sekolah Tinggi Manajemen Informatika dan Komputer AKBA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35585/inspir.v14i2.70

Abstract

Manual control and monitoring of water quality remain a significant challenge for managers of drinking water depots, potentially affecting water safety and operational efficiency. To address this, an automated system was developed to fill water tanks and monitor water quality using advanced sensors and a real-time notification system. The solution integrates a Node MCU ESP32 microcontroller, a pH sensor for detecting water acidity, a TDS sensor for dissolved solids, an ultrasonic sensor for water level detection, and a Telegram bot for remote monitoring and notifications. The system activates the pump under optimal conditions pH between 6.5 and 8.5, TDS below 150 ppm, and water level below 30 cm and deactivates it when conditions deviate, such as pH outside the range, TDS exceeding 150 ppm, or water level reaching 120 cm. Notifications on pump status, pH, TDS, and water levels are sent via Telegram. Testing demonstrated reliable operation, with the system correctly activating and deactivating the pump under specified conditions, enhancing water quality management and operational effectiveness in drinking water depots.
Design and Build The Dokestrans Application For Document Management of The Perum Damri Safety Management System Moh. Adam Asshofi; Joko Siswanto; Nurul Fitriani
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol. 14 No. 2 (2024): Inspiration: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Pusat Penelitian dan Pengabdian Pada Masyarakat Sekolah Tinggi Manajemen Informatika dan Komputer AKBA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35585/inspir.v14i2.90

Abstract

The Safety Management System (SMK) documents at the Public Transportation Company (PAU) Perum Damri are currently stored using Google Drive, leading to inefficiencies such as document loss, difficulty in locating specific files, and disorganized storage. These challenges hinder the effective compilation and management of SMK PAU documents, potentially impacting safety and compliance standards. To address these issues, the "Dokestrans" archiving system was developed as a comprehensive document management solution using the 4D methodology, which includes definition, design, development, and dissemination phases. The Dokestrans system streamlines document organization, provides graphical reports of documents collected per year or per element, and issues notifications for deficiencies in sub-elements, ensuring timely updates and compliance. Usability testing using the System Usability Scale (SUS) yielded an average score of 86, indicating excellent user satisfaction, while Blackbox testing confirmed the validity of all features. The implementation of Dokestrans significantly improves efficiency, accuracy, and organization in managing SMK PAU documents, contributing to enhanced safety management and operational effectiveness for public transportation companies.
Qualified Digital Ecosystems As an Academic Information System Framework in The Industrial 4.0 Ino Sulistiani; Nursaeni; Bobur Sobirov
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol. 14 No. 2 (2024): Inspiration: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Pusat Penelitian dan Pengabdian Pada Masyarakat Sekolah Tinggi Manajemen Informatika dan Komputer AKBA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35585/inspir.v14i2.92

Abstract

Leveraging quality models to establish a robust digital ecosystem is imperative in the Industry 4.0 era. Existing Academic Information System (AIS) software often lacks comprehensive adoption of quality models as core system instruments. As a critical component of the education sector's digital transformation, AIS represents a vital ecosystem for facilitating efficiency and innovation in this industrial era. This study addresses these gaps by implementing a comprehensive quality framework for AIS, integrating cloud computing for enhanced security and privacy, and employing the Web-Based Application Quality Model (WBAQM) as the primary development framework. The research also utilizes ISO 9126 and ISO/IEC 25010 quality models to establish usability and security standards, while the Academic Information System Quality Instrument (AISQI) is introduced to evaluate system performance. Additionally, the COBIT framework is applied to audit and enhance AIS functionality, ensuring alignment with academic and operational needs. The findings demonstrate that adopting quality models significantly improves the reliability, usability, and security of AIS software, delivering a system that aligns with both functional requirements and user expectations. This research contributes to the digital transformation of educational institutions in Indonesia by providing a scalable and efficient AIS framework. By aligning with Industry 4.0 principles, the proposed model ensures quality assurance and fosters innovation, enabling educational institutions to adapt to evolving technological demands and improve overall institutional performance.
Towards The Future of Crab Farming: The Application Of AI with Yolox And Yolov9 To Detect Crab Larvae Zakiyabarsi, Furqan; Amalia Aras, Rezty; Dwi Nugroho H, Yabes; Muhaimin Nur, Muhammad; Aditya Alfarizi, Dimas; Ulil Amri, Muhammad
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol. 14 No. 2 (2024): Inspiration: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Pusat Penelitian dan Pengabdian Pada Masyarakat Sekolah Tinggi Manajemen Informatika dan Komputer AKBA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35585/inspir.v14i2.93

Abstract

Crabs are a highly valued food source and a key export commodity for Indonesia, but farming them remains a challenge, particularly during the larval stage, where survival rates are critically low. This issue has contributed to the declining population of wild crabs. A crucial factor in improving survival rates is the accurate detection and counting of crab larvae. By determining the precise number of larvae, farmers can optimize feeding ratios, manage stocking densities to reduce cannibalism, maintain water quality, and improve cost efficiency through better resource management. Despite its importance, no affordable and precise tools currently exist for this purpose. This study aims to develop a cost-effective and accurate crab larvae detection and counting application using image processing powered by deep learning artificial intelligence (AI). Two models, You Only Look Once eXtreme (YOLOX) and YOLOv9, were evaluated for their performance. The YOLOX-S model struggled with accuracy in detecting larvae, whereas the YOLOv9 model demonstrated superior performance, achieving a mean Average Precision (mAP) of 0.85 at IoU=0.5 and successfully detecting 93% of crab larvae objects accurately. The findings of this research have significant implications for supporting Indonesia's blue economy and aligning with Sustainable Development Goals (SDGs), particularly in sustainable fisheries and aquaculture. By enabling a tech-driven approach to crab farming, this solution addresses the challenges of declining wild crab populations, improves food security, and promotes economic growth for fishers and farmers. These advancements contribute to the development of a sustainable crab farming ecosystem, ensuring long-term ecological and economic benefits.