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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 68 Documents
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IoT-Based Propane and Butane Pressure Measurement Frabowo Prasetia; Andi Putra B
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.v13i2.60

Abstract

Liquefied Potreleum Gas is a hydrocarbon containing two main gas components, propane, and butane, produced from oil and gas refineries Liquefied Potreleum Gas is a hydrocarbon containing two main gas components, propane, and butane, produced from oil and gas refineries. In this study, researchers will do the same thing in the IoT field but not in health monitoring but refer to Butane and Propane Gas Pressure Monitoring in LPG. Errors often occur when using an analog manometer (needle panel) when taking pressure measurements due to inaccurate measurements. There is a clear necessity for using digital manometers to ensure precise gas methane pressure measurement. The sensor receives data then the Arduino processes the data for conversion, the final results will be sent to the cloud using the esp8266 module and then forwarded to the smartphone as a monitoring user to see and also check gas conditions.
Darunnajah Vote System Application Design Using PHP Programming Language Panggabean, Supriadi; Wahyu Joko Saputro; Faishal Wafiq Zakiy; Tutik Lestari; Ahmad Rifqi
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.v13i2.61

Abstract

Voting is the most important part of choosing leaders in an organization or institution, especially for those of us who use a democratic system. The election of organizational leaders in Darunnajah is still carried out conventionally, elections still use paper to select organizational leaders which is carried out by recording and counting the name or picture of one of the candidates. Creating the Darunnajah Vote System in the form of a web application for the election of organizational leaders in the Darunnajah environment can speed up the voting process. The web application is built using PHP and MySQL with features of user management, class management, candidate management, and E-Voting. This study aims to build an e-voting system that is expected to provide voting results quickly, and accurately and can be monitored in real-time during the implementation of the leader election. This system development method uses a web application-based SDLC Waterfall model. Testing using the black box method, every feature contained in the Darunnajah Vote System application, namely the Admin Login feature, User Login, User Voting, and User Data Processing features runs normally and functions properly.
Controlling System of Automatic Microcontroller for Passion Fruit Juice Extractor Sidehabi, Sitti Wetenriajeng; Mutmainnah; Saiful Ashar
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.v13i2.62

Abstract

The fruits are squeezed to extract their concentrate in fruit processing factories or industries, especially for the purple passion fruit variety. However, separating seeds from the fruit pulp uses a blender, resulting in a mixture of seeds and pulp. In this industry, seeds and fruit pulp are separated using a spinner machine and operated manually by operators. So, adding an automatic mechanism has the potential for optimization and improvement. This research aims to develop a passion fruit squeezing machine with maintenance and automation, upgrading the passion fruit filtering and squeezing spinner machine. The purpose is to control the speed of the passion fruit filtering motor using an AC Dimmer module and create an efficient automated tool for the passion fruit mixer and extractor machine. A squeezing machine is designed by utilizing a counter module to count the incoming passion fruits into the cylinder, and an Arduino Uno is used as the controller to adjust the motor speed using an AC dimmer. The passion fruit filtering machine is operated at a minimum triggering angle of 130 degrees and a maximum triggering angle of 80 degrees, or voltages ranging from 69.9 V to 102 V, with a minimum speed of 780 RPM and a total rate of 1462 RPM, and the squeezing time varies from 2 to 4 minutes.
User Segmentation Based on Purchasing Habits and Preferences on the Amazon Platform Using K-Means Clustering Al Isra Denk Rimakka; Aras, Rezty Amalia
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.v13i2.63

Abstract

As a large company, Amazon operates an online marketplace with a diverse user base exhibiting varied purchasing habits. This diversity challenges Amazon to provide tailored services and marketing strategies for each user with distinct characteristics. Therefore, this research aims to assist Amazon in segmenting its users based on their characteristics, enabling the implementation of targeted marketing strategies and service provision for each user. The study employs the K-Means Clustering method to segment Amazon platform users based on their purchasing behavior, site feature interactions, and preferences. The research process involves Knowledge Data Discovery (KDD) stages, including data processing, attribute selection, and applying the K-Means Clustering algorithm. The analysis results reveal five distinct user clusters, each with unique characteristics reflecting user behavior and preferences. These clusters depict variations in purchasing frequency, interactions with site features, and responses to product recommendations. This user segmentation provides valuable insights for Amazon to develop more focused marketing strategies, enhance personalized services, and improve overall customer satisfaction.
Prototype Of DPO Search Information System (People Search List) On CCTV Cameras Using Face Recognition Anugraha, Tri Reski; Dedy Atmajaya; Lilis Nur Hayati; Anugraha, Nurhajar
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.v13i2.65

Abstract

The efficiency aspect of the housing security sector is the main consideration in creating information technology in a CCTV security development, because so far CCTV has not guaranteed maximum housing security, because CCTV can only record not analyze. This makes CCTV only a recording device for the point of occurrence, so this activity is less effective considering CCTV cannot analyze the face of a person who has committed a DPO action. So on that basis, researchers are developing existing technologies with facial recognition systems using the face recognition method for housing security. This method works by detecting a person's facial features. The face recognition apps provide information to the authorities by notifying the notification on the user's smartphone (security guard). So face recognition apps have been applied to the Green Cakra Housing, to help security guards monitor the entrance and exit of guests in the housing. This system can recognize the face of DPOs by obtaining a percentage of the assessment as much as agreeing that the application is effective enough.
Sentiment Analysis Of Indonesian Civil Servan Candidates 2023 Twitter Network With Naive Bayes Algorithm Method Harman Akbar Tullah; Muh Akbar; Alem Febri Sonni; Iskandar, Akbar; Erwin Gatot Amiruddin; Kamaruddin; Asnimar
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.v13i2.66

Abstract

The main objective of this research is to uncover the important role played by the social media platform Twitter in shaping public opinion regarding the 2023 Civil Servant Candidate (CPNS) selection process in Indonesia. Using advanced techniques such as social network analysis and Python language processing, as well as the application of the Naive Bayes algorithm, this research carefully examines the conversation patterns and topic trends prevalent on Twitter during the CPNS selection phase. The findings of this research unequivocally highlight the enormous influence of Twitter on public sentiment related to CPNS selection, as demonstrated by the classification model's impressive accuracy rate of approximately 95.19%. In addition, this research successfully identifies the influential roles played by key actors, prominent accounts, and narratives in shaping public perceptions. These groundbreaking insights foster a comprehensive understanding of the dynamic nature of public opinion in the context of CPNS selection, providing an invaluable basis for designing more effective communication strategies for the government and prospective civil servants.
Indonesian Government Revenue Prediction Using Long Short-Term Memory Mahmud; Windu Gata; Hafifah Bella Novitasari; Sigit Kurniawan; Dedi Dwi Saputra
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.v14i1.67

Abstract

Government revenue plays an important role in achieving national development goals. In the context of optimal state treasury management, accurate forecasts of government revenue are needed so that cash can be utilized optimally for the coming period. This study examines the appropriate method for predicting government revenue based on historical data from 2013 to 2022. It proposes applying the Long Short-Term Memory (LSTM) model for this purpose. Experiments show that the LSTM model, using two hidden layers and the right hyperparameters, can produce a Mean Absolute Percentage Error (MAPE) of 11.14% and a Root Mean Square Error (RMSE) of 15.43%. These results are better than those obtained using conventional modeling techniques such as Autoregressive Integrated Moving Average (ARIMA) and Seasonal Autoregressive Integrated Moving Average (SARIMA). The findings indicate that the LSTM model offers superior predictive accuracy and can significantly improve the management of government finances. By implementing this advanced predictive model, policymakers can make more informed decisions, enhancing the efficiency of resource allocation and contributing to the overall economic stability of the nation.
Analysis Of The Communication Network Structure Of The Keyword “Rempang” On Twitter Using A Social Network Analysis Approach Lukman, Rismawati; Andi Alimuddin Unde; Hasbi Marissangan; Ahmad Musafir; Elvis Tinting Paembonan; Elsa Claudia Salman; Nur Kalbina Razak
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.v14i1.69

Abstract

On September 7, 2023, a clash occurred on Rempang Island, Batam City, Riau Islands, between residents and joint officers, resulting in injuries to students and community members. The Rempang conflict was widely discussed on social media, particularly on Twitter, where 1010 tweets were made using the hashtag #Rempang. This research aims to identify the key actors behind the emergence of the hashtag #Rempang and analyze the type of relationships and the communication network structure that developed. The research method employed is the Social Network Analysis (SNA) approach, which focuses on studying relationships and is used to measure these relationships and extract information from individuals using the Gephi application. The study results indicate that the communication network exhibits a two-mode relationship type, with three distinct network patterns: wheel, Y, and chain communication patterns. The relationships within the network are direct and directional. The research also reveals a main actor, @tempodotco, who has a degree centrality and in-degree value of 404. The relationships between actors in this communication network are very close, highlighting the significance of @tempodotco in the dissemination and discussion of the Rempang conflict on social media.
Smart Cooking and Kitchen Safety Using Arduino Nanotechnology and Voice Recognition Jum, Jumriati; Abdul Latief; Imran Taufiq
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.v14i1.73

Abstract

The purpose of this research encompasses two primary objectives: (1) Designing a smart cooking and kitchen safety system using Arduino Nanotechnology and voice recognition, and (2) Implementing these technologies in practical applications for smart cooking and kitchen safety. The aim is to develop a kitchen security system that employs Arduino Nano and voice recognition to automatically control conventional LPG stoves with on-off functionality. Data collection methods included observation, interviews, and literature review. Cooking tests were conducted with chicken curry, vegetable soup, and tuna, each cooked three times to determine average cooking times. Cooking 2 kg of chicken took an average of 35.38 minutes, with a maturity level delay of 18 minutes, while 1 kg of chicken took 20 minutes, with an 8-minute delay. For 20 portions of vegetable soup, the average cooking time was 32.20 minutes, with a 7-minute delay, and for 5 portions, it was 15 minutes, with a 4-minute delay. Cooking 2 kg of tuna took an average of 26 minutes, with a 16-minute delay, and 1 kg took 13.25 minutes, with a 5-minute delay. Voice command testing showed a high success rate at distances ranging from 10 cm to 70 cm. The confusion matrix results indicated that the model accurately detected successful commands with high precision (88.89%) and good recall (81.63%). However, the model had difficulty identifying failed commands, achieving only 2 true negatives out of 20 negative data points.
Optimizing Housing Business Decisions with a Spatial Data-Based Point Recommendation System Jayanti, Wiwik; Yuyun; Nasrullah
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.v14i1.74

Abstract

A business point is one of the most important factors as a place to support business activities. In determining the business location point, consideration must first be done carefully and not haphazardly wherever it is, but the location is determined based on careful consideration for reasons of sustainability in the success of the business now and in the future. The aim of this research is to build a system that can recommend determining business points by applying spatial data and implementing the AHP method and TOPSIS method for recommendations for determining housing business points in Mamuju Regency. The methods used in this research are the TOPSIS and AHP methods. Research results from the topsis method trial results with trial results from several alternatives which ranked first were Simboro sub-district with a percentage value of 0.67 and the results of the AHP method trials with several alternatives obtained the top ranking results were Binanga sub-district with a percentage of 0.11. The conclusion of this research is based on the results of a comparison of two methods between the TOPSIS method and the AHP method. The highest level of accuracy is the topsis method.

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