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Akbar Iskandar
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Inspiration: Jurnal Teknologi Informasi dan Komunikasi
Published by Universitas Teknologi Akba Makassar
ISSN : 20886705     EISSN : 26215608     DOI : https://doi.org/10.35585/inspir.v12i2.21
Core Subject : Science,
Computer Science & IT
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
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 66 Documents
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Implementation of Haar Cascade and Adaboost Algorithms in Photo Classification on Social Networks Rezty Amalia Aras; Hutami Endang
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol. 13 No. 1 (2023): 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.v13i1.45

Abstract

Instagram is one of the fastest social networks in recent years. Instagram is a popular social media for sharing images. For example, image searches on Instagram may use certain keywords, sometimes called hashtags. There are no rules for specifying hashtags when users upload images. As such, the specified hashtag may not be relevant to the uploaded image. There are photos whose content is dominated by selfies. The study was conducted using data from Instagram, using hashtags to refine searches. Next, classify from the search results. The survey has three categories: selfies, food, and travel. Results: Two of her classification algorithms, Haar Cascade and Adaboost, were used in this study. From the study results, we can conclude that the Haar cascade has a precision rate of 0.7081/s and a detection error of 0.8816/s, while Adaboost has a precision rate of 0.7072/s and a detection error of 0.8424/s. According to the recognition results, the two algorithms can recognize and classify photos with almost the same accuracy (only 0.0392 seconds).
Zoea Crab Larva Counter (CLARCO) Based On Image Processing With Adaptive Gaussian Filter Algorithm And Blob Detection Technique Zakiyabarsi, Furqan; Arizal, Arizal; Nurul Puteri, Annisa; Zulfajri S, Achmad; Syafaat, Muhammad
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol. 13 No. 1 (2023): 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.v13i1.48

Abstract

The size of crab larvae is very small, so there is no accurate and easy-to-use crab larvae counting tool at an affordable price. The low larval survival rate is due to the unknown larval stocking density, which causes cannibalism, a feed-to-larvae ratio that is out of proportion to the number of larvae needed to maintain water quality, a water supply that is out of proportion to stocking density, and is economically unfavorable in terms of cultivation, feed management, maintaining water quality, and the buying and selling process. Accurately estimating the amount of crab larvae is anticipated to boost their survival rate and make them more economically successful. This research is a continuation of previous research with the addition of different methods using adaptive gaussian filter algorithms and blob detection techniques to count crab larvae in the zoea-2, zoea-3, and zoea-4 phases where an increase in accuracy was obtained with an average of 97.67 %.
Node Classification on The Citation Network Using Graph Neural Network Irani Hoeronis; Bambang Riyanto Trilaksono
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol. 13 No. 1 (2023): 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.v13i1.49

Abstract

Research on Graph Neural Networks has influenced various current real-world problems. The graph-based approach is considered capable of effectively representing the actual state of surrounding data by utilizing nodes, edges, and features. Consider the feedforward neural network and the graph neural network approaches, we determine the accuracy of each method. In the baseline experiment, training and testing were performed using the NN approach. The resulting accuracy of FNN was 72.59 % and GNN model has increased by 81.65 %. There is a 9.06 % increase in accuracy between the baseline model and the GNN model. The new data utilized in the model predictions showcases the probabilities of each class through randomly generated examples.
Design and Monitoring Automatization Of Exhaust Fan Through Smartphone at PT Semen Tonasa Pance Asyik; Eko Hadi Nugroho
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol. 13 No. 1 (2023): 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.v13i1.52

Abstract

Pfister coal feeder is an important piece of equipment in the development of the cement industry at PT Semen Tonasa, which if damage occurs will cause production to stop and result in losses. The pfister control panel is easily damaged at temperatures above 40oC. Because of that, an air conditioner was installed, the dusty factory conditions caused an AC error and delayed repairs resulting in a trip pfister coal feeder. To anticipate all of this, it is necessary to monitor factory temperature, so an exhaust fan is installed which can circulate clean air and remove dirty air. In addition to maintaining the temperature of the control panel so that it does not increase. PLC Allen Bradley helps to monitor temperature, which can be accessed via a smartphone so that temperature monitoring can be done anywhere. The research method used in this study is mixed research, which combines qualitative and quantitative research, in which the research design is based on assumptions as well as research. The results of this study are to use the Microsoft Windows 2000 operating system and RS link to produce images and exhaust fan automation to prevent coal feeder trip pfister due to high temperatures is to monitor via a smartphone to monitor the function of existing tools.
Handover Analysis Of 4G LTE (Long Term Evolution) At A Frequency Of 2400 Mhz: Akhyar, Al Habib Maulana; Afrizal Yuhanef; Dikky Chandra; Yulindon
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol. 13 No. 2 (2023): 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.v13i2.11

Abstract

Information technology has now become a primary need for many individuals, facilitating access to various needs, including work, learning, and other activities. Mobile phones allow users to stay connected to the internet without interruption, even when traveling out of town, thanks to their ability to switch between cells or through a process known as handover. The focus of this article is on the impact of handover on 4G LTE networks. The data collection approach in this research uses the drive test method by utilizing the tems pocket application to retrieve internet network data. The research results highlight the importance of understanding how handover can affect 4G LTE network performance. With the role of information technology increasingly dominating everyday life, a deep understanding of technical aspects such as handover has become essential to maintaining the quality and efficient availability of cellular communications services.  
Implementation Of The Use Of The C Programming Language in The Ubuntu Linux Operating System Agus, Samsuriah
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.v14i1.53

Abstract

The rapid pace of technological advancement has predominantly restricted the use of the C programming language to specific fields. This study aims to enhance accessibility to the C programming language for students and the general public on the Ubuntu Linux operating system. The research methodology employed is observational, facilitating the attainment of desired outcomes through systematic observation. This research focuses on implementing the C programming language within the Ubuntu Linux environment to validate its performance compared to its usage on Windows operating systems. The compilation and execution processes differ significantly on Ubuntu Linux, necessitating a distinct approach. Beyond validating these outcomes, the study aims to enhance user proficiency and understanding of C programming within the Ubuntu Linux environment. The Ubuntu Linux platform is essential for various scientific disciplines. The integration of the C programming language into the Ubuntu Linux operating system yields distinctive output displays, critical for advancing both information systems and broader fields of knowledge in alignment with evolving programming practices.
Design of An Agricultural Extension Schedule Management System Soedarto, Teguh; Aditiawan, Firza Prima; Putra, Adzanil Rachmadhi
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol. 13 No. 2 (2023): 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.v13i2.54

Abstract

Based on the strategic plan of the Ministry of Agriculture for 2015-2019, development in the agricultural sector will refer to the Agriculture for Development Paradigm which positions the agricultural sector as a driver of balanced and comprehensive development transformation including demographic, economic, intersectoral, spatial, institutional and development governance. With such great potential, the Pasuruan Regency Food and Agriculture Security Service has problems in the availability of human resources in quantity, especially agricultural instructors. For this reason, there is a need for a system that can optimize existing human resources. The system development method used is the waterfall method, the waterfall method is a method that works sequentially, the development of the agricultural extension schedule management system has been going well. So that it can help the work management process of agricultural instructors in distributing agricultural extension at the village level. This agricultural extension schedule management system is implemented using a MySQL database and the PHP programming language. This system is easy to use so it helps related parties in schedule management and recording extension activities.
Implementation Model Prototyping In Application Design of Halal Food Product Detection For Overseas Muslim Students Fandisya Rahman; Bambang Minto Basuki
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol. 13 No. 2 (2023): 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.v13i2.56

Abstract

In the age of globalization, the production and trading of food have become more widespread, and consumers, particularly those who follow the Islamic faith, require access to information about the halal status of the products they consume. It is crucial to provide accurate and relevant information to them regarding the halal nature of the products they buy. To cater to this need, many people are using barcode scanners via mobile platforms to obtain product information. These barcode scanners use optical scanners called code readers, and they are popular as they provide a quick and efficient way of obtaining information. Creating a barcode application using the prototyping method is an effective solution that involves several steps, such as gathering and analyzing requirements, rapid design, building a prototype, user evaluation, and refining the prototype. The programming language Kotlin is used to create these applications, which support building Android applications on the Java Virtual Machine Platform (JVM). The use of Kotlin, which is statically expressed and executed, makes the process of developing these applications efficient and straightforward. In summary, developing a barcode application using the prototyping method and Kotlin is an excellent solution to provide consumers with accurate and accessible information about the halal status of food products they consume.
Time Effort Prediction Of Agile Software Development Using Machine Learning Techniques Muchamad Bachram Shidiq; Gata, Windu; Kurniawan, Sigit; Saputra, Dedi Dwi; Panggabean, Supriadi
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol. 13 No. 2 (2023): 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.v13i2.57

Abstract

To run a software development project, an effective and efficient project management mechanism is needed to coordinate the activities carried out. The agile method was developed because there are several weaknesses in the classic method that can interfere with the course of the software development process according to user desires.  However, in applying agile methods, time effort estimation cannot be done properly. This can cause project managers to have difficulty preparing resources in software development in scrum projects. For this reason, this research aims to predict the time effort of agile software development using Machine Learning techniques, namely the Decision Tree, Random Forest, Gradient Boosting, and AdaBoost algorithms, as well as the use of feature selection in the form of RRelieff and Principal Component Analysis (PCA) to improve prediction accuracy. The best-performing algorithm uses Gradient Boosting k-fold validation with PCA with an MSE value of 2.895, RMSE 1.701, MAE 0.898, and R2 0.951.
Software Defect Prediction For Quality Evaluation Using Learning Techniques Ensemble Stacking Kusuma, Muhammad Romadhona; Windu Gata; Sigit Kurniawan; Dedi Dwi Saputra; Supriadi Panggabean
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol. 13 No. 2 (2023): 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.v13i2.58

Abstract

This research aims to improve the software quality and effectiveness of zakat management by the National Amil Zakat Agency (BAZNAS) through the development of a software defect prediction model (SDPM). We used machine learning techniques and ensemble stacking approach on the "Masjid Tower" dataset containing 228 records and 34 attributes. The preprocessing process involved label encoding, feature selection with Pearson correlation, standard normalization, and the use of SMOTE to handle data imbalance. We performed hyperparameter tuning with grid search CV on Machine Learning algorithms such as Ada Boost and Gradient Boosting. The results showed that the ensemble stacking approach with a combination of Gradient Boosting, Ada Boost, Decision Tree, Bayesian Ridge, and LightGBM meta learner algorithms provided high accuracy with R2 score reaching 0.97, MAE of 0.037, and MSE of 0.006. This finding proves that the ensemble stacking approach is able to overcome the problem of software defects with accurate prediction results, provide useful guidance in the management of zakat and other software applications, and has the potential to improve software quality and the effectiveness of BAZNAS in managing zakat.

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