Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)

Strategi Media Alternatif Proyek Multatuli dalam Menjaga Keberlangsungannya

Muhammad Afriski Nanda Pradana, Eni Maryani, Sri Seti Indriani — Sun, 27 Oct 2024 00:00:00 +0700

This research aims to provide an in-depth analysis of Project Multatuli as an alternative media outlet, focusing on both organizational and editorial perspectives. It also explores the challenges faced by such alternative media organizations. The findings reveal that Project Multatuli, at a fundamental level, can be regarded as critical alternative media that meets the criteria outlined by Sandoval and Fuchs. As an alternative media outlet, Project Multatuli relies on funding from donors, grants, and initiatives from "Kawan M" to cover its operating costs. Its news cycle adheres to the principles of "painstaking journalism," with coverage that typically spans two to three months. Project Multatuli holds transparency in high regard, consistently disclosing its funding sources, whether they support specific reports or provide the initial inspiration for news coverage. Distinct from mainstream media, Project Multatuli operates similarly to a Non-Governmental Organization (NGO).

Analisis Semiotika Roland Barthes pada Iklan IKEA: Second Best di Kanal YouTube Ads of Brands

Mon, 28 Oct 2024 00:00:00 +0700

This study discusses the interpretation of semiotic theory in an advertisement, specifically focusing on IKEA's "Second Best" advertisement on YouTube Ads. This study aims to explore meanings beyond the product promotion intended by IKEA, examining the deeper message conveyed through the audio-visual presentation. The method used is descriptive qualitative. In this qualitative method, the author acts as the primary instrument in research, with analysis conducted continuously from the initial stages through data analysis. Semiotic analysis is the science of signs, especially from the perspective of Roland Barthes, who developed a two-tiered marking system he terms denotation and connotation. These systems can be applied to identify and understand the symbols and meanings presented in the IKEA advertisement ("Second Best"). The study results indicate a common theme, namely that IKEA seeks to offer convenience and solutions to families for their household needs, particularly through its home goods

Penerapan Algoritma Simple Additive Weighting Sistem Pendukung Keputusan Seleksi Penjurusan di SMKN 1 Kota Salatiga

Jonathan Mario Dwi Priyadi, Suprihadi — Sat, 02 Nov 2024 00:00:00 +0700

The admission of new students (PPDB) involves a selection process that must be conducted quickly and accurately for incoming students. SMKN 1 Salatiga anticipates that, during the registration process, participants in the selection may exceed the school-provided quota (capacity). Additionally, SMKN 1 Salatiga has limited expert staff to operate mathematical calculation formulas for optimally determining final decision outcomes. This research employs empirical methods or field research, analyzed using the Simple Additive Weighting (SAW) method. This method aims to expedite the process of determining selection results, enabling faster outcomes for students who pass or fail. The results of this study indicate that the SAW method effectively reduces the screening time for students declared as Passed or Failed during the selection process at SMKN 1 Salatiga.

Evaluasi Tata Kelola TI Layanan Sistem Informasi Akademik Tahfizh Menggunakan COBIT 5 Domain EDM

Riza Hidayat, Sopan Adrianto, Dadang Iskandar Mulyana — Sat, 02 Nov 2024 00:00:00 +0700

With the rapid advancement of information technology, many organizations are leveraging it to support business processes, including in the education sector. Rumah Qur'an Al-Inayah in South Tangerang uses the Tahfizh Academic Information System to manage student administration. Although effective, there are still challenges, such as a lack of expert human resources, suboptimal system management, and data discrepancies. Evaluating the implementation of information technology using COBIT 5, particularly in the EDM (Evaluate, Direct, and Monitor) domain, is essential. This study employs a mixed-method approach, combining qualitative and quantitative methods. The evaluation results reveal gaps in five EDM subdomains: EDM 01 (0.58), EDM 02 (0.74), EDM 03 (0.9), EDM 04 (0.71), and EDM 05 (0.63). Recommendations include adding dedicated human resources, conducting regular maintenance, and optimizing task and access rights distribution. Implementing these recommendations is expected to improve the performance and IT governance at Rumah Qur'an Al-Inayah.

Analisis Clustering Penyakit Menular pada Manusia di Jakarta Timur Menggunakan Algoritma K-Means

Muhammad Arya Ramadhan, Edhy Poerwandono, Yuma Akbar, Aditya Zakaria Hidayat — Sat, 02 Nov 2024 00:00:00 +0700

Humans are highly susceptible to various diseases without realizing their causes. The high incidence of infectious diseases in East Jakarta requires an analysis of distribution patterns to determine intervention priorities. This study aims to identify clusters of infectious diseases in East Jakarta, helping authorities plan effective prevention and treatment strategies. Data on infectious disease cases were obtained from the Central Statistics Agency of DKI Jakarta. The K-Means algorithm was used to cluster data based on variables such as period, region, type of disease, and number of cases. The results indicate several main clusters with distinct characteristics that can serve as a foundation for targeted strategies. From 2018 to 2021, diarrhea was predominant, making up 84.14% of cases in 2018 and 81.97% in 2019, pneumonia accounted for 32.92% in 2020, and TB Paru 33.63% in 2021. In conclusion, the K-Means algorithm effectively clusters infectious disease data and provides useful insights into disease distribution in East Jakarta, improving the impact of data-driven health programs.

Prediksi Produksi Sablon di Perusahaan Tomoinc dengan Perbandingan Metode Single Moving Average dan Single Exponential Smoothing

Galih Satria Yacob, Tundo, Dadang Iskandar Mulyana, Sri Lestari — Sun, 03 Nov 2024 00:00:00 +0700

A common problem faced by companies is predicting future production of goods based on previously recorded data. The company produces only according to orders, conducting production processes solely based on consumer demand. Any excess production is stored as stock to meet sudden consumer demands. These predictions significantly influence management decisions regarding the quantity of goods that must be prepared, considering factors like general business and economic conditions, competitors' actions, government policies, market trends, product life cycles, styles and fashions, changes in consumer demand, and technological innovations. This research aims to identify and analyze screen printing production predictions using the Moving Average and Exponential Smoothing methods. The more data used for comparison, the more accurate the prediction results. The research successfully developed a screen printing production prediction system, facilitating easier determination of future production quantities.

Sistem Rekomendasi Wisata di Pekalongan melalui Chatbot dengan Framework Rasa

Fakhri, Kristiawan Nugroho — Tue, 05 Nov 2024 00:00:00 +0700

Pekalongan, a city renowned for its batik and rich in cultural and natural attractions, has great potential in the tourism sector. However, limited access to integrated and easily accessible information poses challenges for tourists planning their trips. The Rasa-based Telegram chatbot addresses these challenges as an innovative solution. Through interactive engagement, tourists can receive recommendations for destinations, culinary spots, and other relevant information tailored to their preferences. This system leverages Rasa Natural Language Understanding (NLU) to interpret user queries and provide appropriate responses. Comprehensive tourism data of Pekalongan is embedded into the system to ensure accurate and relevant recommendations. The chatbot's evaluation includes direct user testing to measure the accuracy of recommendations, user satisfaction, and ease of use. Results indicate that the Rasa-based Telegram chatbot can deliver personalized and accurate recommendations, enhancing the travel planning experience for tourists visiting Pekalongan.

Strategi Bauran Komunikasi Pemasaran Produk Yamaha NMAX Turbo 2024

Mohamad Sudi, Zulham, Serepina Tiur Maida, Titiek Surya Ningsih, Yanti Setianti — Fri, 08 Nov 2024 00:00:00 +0700

The study aims to determine the marketing communication mix strategy implemented by Yamaha in promoting the 2024 NMAX Turbo product in Indonesia. To differentiate, Yamaha leverages six key marketing communication elements: advertising, sales promotion, public relations, direct marketing, personal selling, and digital marketing. Using a qualitative case study approach, data was gathered through in-depth interviews with Yamaha’s marketing managers, advertising agencies, and automotive influencers, as well as document analysis of annual reports and social media content. Thematic and content analysis were employed to interpret the data. Findings show that advertising played a significant role in building brand awareness through television and digital platforms, emphasizing the motor’s turbocharged technology and futuristic design. Sales promotions, particularly exclusive discounts and pre-order bonuses, effectively boosted consumer interest. Public relations initiatives, including launch events and test rides, enhanced the brand’s image and engagement. Direct marketing via email and SMS reinforced consumer relationships, while personal selling at dealerships offered a personalized experience. Digital marketing through platforms like Instagram and TikTok successfully reached younger audiences. This marketing mix strategy has proven effective in raising brand awareness, strengthening engagement, and driving sales for Yamaha.

Deteksi Dini Siswa Korban Bullying dalam Penerapan Data Mining Menggunakan Algoritma C4.5 pada SMP IDN Jonggol

Dadang Iskandar Mulyana, Muhammad Hafiz Siregar — Sat, 09 Nov 2024 00:00:00 +0700

This research discusses the application of data mining using the C4.5 algorithm for early detection of student victims of bullying at IDN Jonggol Junior High School. The problem studied is how to identify students who are victims of bullying quickly and accurately using the available data analysis. The expected solution is the development of an early detection system that can provide early warning to the school so that intervention can be done earlier. The object of the study was IDN Jonggol Junior High School students. The method used involves collecting demographic data, behavior records, and bullying reports, which are then analyzed using the C4.5 Algorithm. The results showed that the C4.5 algorithm was able to classify student victims of bullying with an accuracy of 78.6%. Preliminary conclusions show that the C4.5 Algorithm has great potential to be used in the early detection of bullying. The implication of this research is the improvement of student safety and well-being through faster and more appropriate intervention. Recommendations from this research are further development of the detection system and its application in other schools

Politik Kejutan: Analisis Wacana Kritis Penggunaan Kata 'KAGET' oleh Presiden Jokowi dalam Komunikasi Politik 2014-2024

Radians Krisna Febriandy — Sat, 09 Nov 2024 00:00:00 +0700

This research focuses on President Joko Widodo's use of the word "KAGET" in political discourse during the period 2014 to 2024. The use of this word often appears in response to various unexpected events and has become an important part of building Jokowi's leadership image. The purpose of this study is to analyze how the word "KAGET" is used as a political communication strategy. The method used is Critical Discourse Analysis (CDA) based on Norman Fairclough's model, which includes text analysis, discursive practices, and social practices. Data were taken from various media that reported Jokowi's statements in different contexts. The results show that the word "KAGET" plays a role in building Jokowi's image as a leader who is adaptive, honest, and close to the people. However, in some cases, this word is also criticized as a sign of unpreparedness. In conclusion, Jokowi's use of the word "KAGET" strengthens emotional connections with the people, manages public expectations, and provides political flexibility in responding to crises.

Implementasi Game 2D Edukasi Pengetahuan Islam untuk Remaja Menggunakan Unity

Yuma Akbar, Abdurrahman Asyam Albahy — Sat, 09 Nov 2024 00:00:00 +0700

This research aims to address the lack of interest among children in learning basic Islamic knowledge through conventional learning methods, which are often perceived as boring. The proposed solution is the development of Unity-based educational 2D games that present basic Islamic knowledge in an engaging and interactive way. The target audience for this research is children aged 12–15 years, who are expected to show greater interest and motivation to learn Islam through more enjoyable media. The methodology employed in this research is the Waterfall method, consisting of the stages of needs analysis, system design, implementation, verification, and maintenance. The tools used include Unity software for game development and Visual Studio for C# coding. The study also utilized surveys and observations to measure the game's effectiveness in enhancing children's knowledge and engagement. Through efficient project management, it is anticipated that this educational game will become an effective and engaging learning tool for children, while contributing significantly to the field of Islamic religious education.

Strategi Komunikasi Periklanan Produk Yamaha NMAX Turbo 2024

Rafiuddin Akil, Salsabila Andi Akil, Alamsyah, Ayi Muhiban, Yanti Setianti — Sun, 10 Nov 2024 00:00:00 +0700

This study aims to analyze the advertising communication strategy for the Yamaha NMAX Turbo 2024, Yamaha's latest product positioned as a premium scooter with turbocharged technology. Amid the fierce competition in the automotive industry, Yamaha needs to design an innovative and effective advertising campaign to increase brand awareness and consumer purchase intention. The objective of this research is to identify key elements in Yamaha’s advertising communication strategy, evaluate its effectiveness, and understand its impact on consumer perceptions and marketing goals. This research employs a descriptive approach with qualitative and quantitative analysis, combining consumer surveys, in-depth interviews, and ad content analysis. The findings show that the effectiveness of the ads, social media engagement, and brand awareness have significant effects on consumer purchase intention, especially among Gen Z. The effectiveness of the ads proved to be the most influential factor, followed by brand awareness and social media engagement. Consumers who responded to Yamaha NMAX Turbo ads through social media tended to have a positive perception of the product's innovations and advanced features. Additionally, the survey indicated that consumers actively engaged with social media campaigns were more motivated to make a purchase. The integrated communication strategy, utilizing various digital platforms such as social media, websites, and television ads, has been proven to increase purchase intention and strengthen positive perceptions of the Yamaha NMAX Turbo. Based on these findings, it is recommended that Yamaha continue to develop creative ad content, enhance social media engagement, and expand brand awareness campaigns through collaborations with automotive influencers. This strategy is expected to solidify Yamaha NMAX Turbo's position in the Indonesian automotive market.

Analisis Sentimen Terhadap Sistem Informasi Akademik Mahasiswa pada Aplikasi Edlink dengan Metode K-Nearest Neighbor

Citra Pricylia Ananda Mulya, Veri Arinal — Sun, 10 Nov 2024 00:00:00 +0700

The Sevima Edlink application is an academic information system that is widely used by educational institutions in Indonesia to manage student academic data and information. Although this application has various useful features, its successful implementation also depends greatly on user satisfaction and acceptance. Therefore, it is important to analyze user sentiment towards these applications to identify existing strengths and weaknesses. This research aims to analyze user sentiment towards the Sevima Edlink application using the K-Nearest Neighbor (K-NN) method. The K-NN method was chosen because of its simplicity and effective ability to classify sentiment data. The data used in this research are reviews from application users collected from various sources. The results of this research used the K-NN method, namely an accuracy value of 94.47%. So it can be said that the K-KNN algorithm can classify data well and correctly.

Analisis Sentimen Kepuasan Publik Terhadap Masa Kepemimpinan Shin Tae Yong Menggunakan Algoritma Naïve Bayes

Pramudya Nugraha, Rasiban, Frencis Matheos Sarimole, Tundo — Sun, 10 Nov 2024 00:00:00 +0700

Shin Tae Yong is the coach of the Indonesian national team who has been a football player in South Korea and has coached the South Korean national team at the 2018 World Cup in Russia. Many people watch or pay attention to Shin Tae Yong's behavior and behavior when coaching the Indonesian national team. Shin Tae Yong has considerable worry with the Indonesian national team because of his strategy. However, there are several media that frame Shin Tae Yong's news differently so that differences in viewpoints and opinions on Shin Tae Yong are controversial, inviting many people to give their opinions. Therefore, people choose social media as a place to channel opinions. In this study, we will take tweets from X with search keywords for Shin Tae Yong and the Indonesian national team to process and classify the text using the sentiment analysis method. The text classification process is divided into two classes, namely positive sentiment classes and negative sentiment classes. The data used amounted to 2495 data that had been cleansed, which amounted to 2.348 Positive sentiment data and 147 data with negative sentiments so that they can be presented 98.94% positive and 60.00% negative, based on the classification of the Naïve Bayes algorithm model, using a split comparative data 0.8 : 0.2 With the value of k=3 for Shin Tae Yong's dataset, an accuracy value of 96.67%.

Pengembangan Sistem Pendukung Keputusan untuk Pemilihan Karyawan Terbaik di PT. Bringin Karya Sejahtera Cabang Ragunan, Jakarta Selatan, Menggunakan Metode Analytical Hierarchy Process (AHP) Berbasis Web

Mawadah Warahmah, NM Faizah, Widyat Nurcahyo — Sun, 10 Nov 2024 00:00:00 +0700

This research develops a decision support system using the Analytical Hierarchy Process (AHP) to assist in selecting the best employee at PT. Bringin Karya Sejahtera. Evaluating employee performance is crucial for enhancing company productivity, as recognizing outstanding performance can motivate employees to excel. This case study was conducted at PT. Bringin Karya Sejahtera, where employee evaluations are carried out monthly, with cumulative results calculated at the end of the year to determine the best employee. The selection process often becomes complex due to the numerous criteria and employee options, requiring a system to simplify decision-making. Therefore, this study introduces an AHP-based system to support leaders in effectively managing factors, criteria, and alternatives. AHP, developed by Thomas L. Saaty, allows for multi-criteria comparisons and simplifies complex decision-making through a hierarchical approach.

Strategi Distribusi Program Vlogger on The Road dari Voice of America yang ditayangkan oleh BTV

Yunita Rizqianthi, Harry Tjahjodiningrat, Nala Nandana Undiana — Sun, 10 Nov 2024 00:00:00 +0700

The basic idea of this research is the distribution of programs on Indonesian national television. How program programmers from abroad, namely VOA, can broadcast their programs on national television in Indonesia, then the programmer can be assured of having a very good program distribution system, so that it is very interesting and good to be applied to programmers of other television stations, especially in Indonesia. There are two issues raised in this research: distribution techniques and broadcasting policies in Indonesia that must be implemented by VOA. The purpose of this research is to find out the distribution plans and national broadcasting regulations implemented by VOA. This research applies mass media theory and distribution strategy theory using qualitative research methods. The research results show that the strategy carried out by VOA is through direct relations and adjustments by VOA to policies in Indonesia, namely VOA adapts content to make it relevant to issues that are important to Indonesian society. This research can be useful for other television stations in implementing program distribution systems.

Optimasi Gigabit Passive Optical Network dan Algoritma Naïve Bayes dalam Analisis Jaringan FTTH

Suwandi, Yuma Akbar, Dadang Iskandar Mulyana — Sun, 10 Nov 2024 00:00:00 +0700

Internet service users expect reliable bandwidth quality to support the communication access process. From year to year, human needs for communication services continue to increase. Humans still want convenience in daily activities such as sending messages, video and voice, and want the quality of sending and receiving messages to be fast. This encourages telecommunications service providers to focus on innovative telecommunications networks to meet the needs of all customers. Research began by taking data at Tablue and AVS regarding the distance of the fiber cable used as far as 10Km from the OLT. Manual calculations using OTDR. The results of previous measurements and data processing regarding the attenuation obtained in fiber cables are followed by calculating the total attenuation using the existing formula. The next stage is data processing using RapidMiner software with the Naive Bayes algorithm. The final results of the comparison with this test method, namely the prediction results) show an accuracy value of 99.91%. Of the 1124 test data, 1080 data were predicted as OK sentiment and 43 data as Not OK. For prediction results from Not ok. and the Naive Bayes method shows an accuracy value of 0.962% OK. Not ok 0.038% of 1124, test data.

Strategi Pengembangan Website Organisasi SMA Islam Hidayatullah dengan Metode Design Thinking

Robbie Adam Nurdiansyah, Jeffri Alfa Razaq, Dwi Budi Santoso — Sun, 10 Nov 2024 00:00:00 +0700

This study developed the SMA Islam Hidayatullah website using the Design Thinking method to enhance student engagement and improve the communication efficiency of school organizations such as OSIS, Rohis, DA, Askar, and PMI. The method involved the stages of Empathize, Define, Ideate, Prototype, and Test, engaging collaboration between students, organization members, and teachers to understand and meet user needs. The results demonstrate that the Design Thinking approach is effective, with the website offering interactive features such as discussion forums, event calendars, and multimedia galleries. The website successfully increased student engagement, as evidenced by improved interaction among students, and enhanced communication among members by improving the quality and efficiency of information shared. The implications of using Design Thinking show that this approach creates solutions better aligned with user needs and enhances their satisfaction and involvement. Recommendations include developing additional features such as instant messaging, user training, and regular monitoring to ensure the website’s maximum benefits. The use of Design Thinking has proven to provide better solutions in school website development, improving student engagement and organizational communication efficiency.

Analisis Sentimen terhadap Perpanjangan Masa Jabatan Presiden Indonesia Menggunakan Naïve Bayes

Zuhdi Hanif, Untung Surapati — Sun, 10 Nov 2024 00:00:00 +0700

Twitter social media is often used as a medium to express opinions on the government in Indonesia. There are also many controversial things on Twitter social media against the government, as is the case today there is a controversy wherethere is a proposal to make the term of office of the President in Indonesia three periods, which previously could only serve up to two terms or ten years. for one President. Public opinion or sentiment which in Twitter's terms is commonly referred to as "shrink" can be in the form of negative or positive opinions. However, the amount of data is quite large so it takes a method that can be used to make it happen, namely by using sentiment analysis. Sentiment analysis can be used as a solution to process these opinions using the Naïve Bayes Classifier algorithm. The results of the nave Bayes technique require evaluation to determine the best model. The test is carried out with three models, namely 70:30, 80:20, and 90:10 which are then evaluated using a confusion matrix. Based on the comparison of the evaluation test results, the best scenario for the Naïve Bayes classification model is in the first scenario or model (90% training data and 10% testing data) with an accuracy value of 95%, a precision value of 97%, a recall value of 96%, and the f-measure value is 96%.

Optimasi Jaringan Sensor Nirkabel untuk Monitoring Suhu dan Kelembaban

Yuma Akbar, Ikhsan Abror — Mon, 11 Nov 2024 00:00:00 +0700

The development of Internet of Things (IoT) technology has provided new opportunities to improve monitoring through the integration of temperature and humidity sensors in wireless networks. This study aims to optimize a wireless sensor network for temperature and humidity monitoring. This study combines an experimental approach with network performance analysis and optimization methods. First, the selection of temperature and humidity sensors is carried out. Next, an efficient and reliable wireless sensor network architecture is designed to collect temperature and humidity data from various locations. The process of sending data from sensors to base stations and integration with IoT platforms are also studied. Furthermore, a series of experiments are conducted to test the performance of the wireless sensor network under real conditions. Analysis of the collected data is used to identify potential improvements in network performance and improve system reliability and responsiveness. The performance parameters evaluated include connection stability, data throughput, energy consumption, and communication latency. The results of this study contribute to the development of a monitoring system that is reliable, efficient, and easy to implement.

Pemodelan Sistem Rekomendasi Pemilihan Paket Internet IndiHome Menggunakan Metode Knowledge

Fany Lestari, Dwi Hartanti, Herliyani Hasanah — Mon, 11 Nov 2024 00:00:00 +0700

As time goes by, the internet has become a basic human need. There are various internet service providers with various and interesting products. Each internet service provider has its own advantages and disadvantages. This makes customers confused about choosing a suitable internet package to use to support their activities. The Indihome internet package selection recommendation system uses a knowledge-based method and is designed to help users choose an internet package that suits their needs. This knowledge based method is based on existing knowledge. The use of a knowledge base is easy for users to understand and makes it possible to produce recommendations that suit user needs. It is hoped that the results of this system can be used as a consideration for consumers in making decisions regarding selecting the internet service package to be used and increasing customer satisfaction.

Pemodelan Sistem Pemilihan Tempat POI Terdekat di Wilayah Klaten Kota Menggunakan Metode Dijkstra oleh PT. Telkom Klaten

Erlina Kumala Kusumawati, Dwi Hartanti, Tri Djoko Santosa — Mon, 11 Nov 2024 00:00:00 +0700

The Point of Interest (POI) represents a specific geographic location defined by its coordinates, including longitude and latitude, and holds value as a site of interest or utility. Examples of POIs include tourist attractions, hotels, restaurants, ATMs, pharmacies, health centers, retail shops, gas stations, and other categories integral to modern navigation systems. PT. Telkom Klaten has faced increased demands to conduct POI surveys efficiently, driven by advancements in technology that call for faster and more streamlined processes. A primary challenge in these surveys is the selection of an optimal route that minimizes time, costs, and fuel consumption, given that the company currently relies on manual input in Google Maps to determine distance and travel time. This manual approach may hinder survey efficiency and increase operational costs. To address this, an application employing the Dijkstra algorithm was developed to determine the shortest route effectively. The Dijkstra algorithm, known for selecting edges with minimal weight to connect sequential nodes, requires defined origin and destination points, thereby generating the most efficient route between them. This study applies the Dijkstra algorithm to optimize survey routes by modeling them as graph-based routes, aiming to identify the shortest and most efficient paths between multiple POI locations. The findings indicate that the Dijkstra algorithm significantly reduces travel distance and time, thereby achieving notable savings in fuel and operational time for POI surveys.

Implementasi Algoritma Apriori Pada Aplikasi Penjualan Buah Berbasis Web

Indra Irawan, Sunardi, Sitti Harlina — Mon, 11 Nov 2024 00:00:00 +0700

This research aims to implement the Apriori algorithm in a web-based fruit sales application to discover consumer purchasing patterns and provide appropriate product recommendations. The dataset used consists of 10 fruit sales transactions. The fruit sales transaction data is then analyzed using the Apriori algorithm to identify frequently purchased product combinations. The analysis results are then used to provide accurate product recommendations to customers. Implementation is carried out by calculating the support, confidence, and lift ratio values for each product combination based on transaction data. Association rules with a support value of 30% and confidence of 60% found sweet fragrant mango, murcot australian orange, and fuji88 apple, which are then used to provide recommendations to relevant customers. This research aims to improve product recommendation accuracy, customer satisfaction, and overall sales efficiency in the fruit sales industry.

Efektivitas Penggunaan Ruang Warna HSV untuk Klasifikasi Daging Sapi Segar dan Busuk dalam Industri Pangan

Dadang Iskandar Mulyana, Veri Arinal, Feri Akbarulloh — Mon, 11 Nov 2024 00:00:00 +0700

Beef is a source of animal protein which is very important in the human diet. The quality of beef determines the nutritional value and taste of the processed meat product. However, the quality of beef can decrease over time, especially if it is not stored properly. Therefore, identifying the condition of beef is crucial to ensure that consumers get safe and quality products. The use of the HSV (Hue, Saturation, Value) color space for beef classification is an interesting method to research. The HSV color space is closer to human perception of color compared to the RGB color space, making it more effective for image analysis in the context of visual quality assessment of meat. In this study, researchers used HSV space extraction to classify fresh beef and bad beef. This research aims to develop a method for classifying fresh, medium and rotten beef using the HSV color space. This research produces accurate extraction results with appropriate classification of fresh and bad beef.

Implementasi Perancangan Digital Marketing pada Instagram Rumah Makan Bebek Bakar A'Yayo

Omega Marthadania Putra, Almira Shabrina — Mon, 11 Nov 2024 00:00:00 +0700

This research explores how improving Instagram marketing strategies can boost consumer interest for Bebek Bakar A'Yayo, a restaurant in Bandung. Despite being established since 2005, the restaurant's social media presence had been minimal. Using a mixed-method approach—surveys, interviews, and observations—the author enhanced the restaurant's Instagram with better photos, videos, graphic design, and motion graphics. Over two months (October 23 to December 25, 2023), the Instagram account's reach grew by 602%, and sales increased by 20%, all through organic social media efforts. The study concludes that effective Instagram management is essential for promoting businesses in the food industry.

Aplikasi Android untuk Rekomendasi Pemilihan Buah Anggur Hijau Menggunakan VGG16

Mon, 11 Nov 2024 00:00:00 +0700

This study focuses on developing an Android-based recommender system using convolutional neural networks (CNNs) to select high-quality grapes. The main objective of this study is to compare the performance of two popular CNN architectures, VGG16 and ResNet18, in classifying the quality of sour grapes. The subjective and time-consuming nature of conventional methods prompted us to search for a more efficient solution.The dataset used consists of 282 images of green grapes. The evaluation results show that the VGG16 model achieves 93% accuracy in classifying grape quality, outperforming the ResNet18 model with only 82% accuracy. These results indicate that the VGG16 architecture is more suitable for this classification task. The development of this system is expected to contribute to smart agricultural automation to improve efficiency and support the food industry.

Implementasi Aplikasi Web Pemilihan Kelas Berdasarkan Minat Menggunakan Algoritma K-Means Clustering

Clarenza Dixie Rose, Bernadus Anggo Seno Aji, Farah Zakiyah Rahmanti — Mon, 11 Nov 2024 00:00:00 +0700

Giki High School has a large number of 10th grade students and the need to provide class recommendations based on student interests in current subjects is done conventionally. This study aims to help schools make more informed decisions in class selection. This study implements a web application. The implementation of the category selection web application was created using the K-means Clustering algorithm and integrated into the web using Tkinter as the standard GUI library for Python. This implementation goal is to make school life easier to determine class recommendations for students. Results of the K-Means algorithm produce 4 clusters: Cluster 1 (Indonesian, Social Studies, and Mathematics), Cluster 2 (English), Cluster 3 (Indonesian and Science), Cluster 4 (English and Science) with the Silhouette Score results giving a score of 0.6233 which indicates that the score calculation is at 0 that the data point is the center of each cluster.

Optimasi Deteksi Gerak Bahasa Isyarat dan Ekpresi Wajah Real Time Dengan Metode Random Forest

Dadang Iskandar Mulyana, Rasiban, Sutisna, Samuel Figo Banase — Tue, 12 Nov 2024 00:00:00 +0700

Sign language is the primary means of communication for deaf individuals, one of the alternative languages used by people with disabilities, and it has evolved from the deaf community. Sign language has many variations, making it something unfamiliar and difficult to interpret for some hearing or uninitiated people. This research aims to develop a real-time sign language motion and facial expression detection system using the Random Forest method. The main challenge in this detection is the complexity and variation of the movements and facial expressions. In this study, MediaPipe is used to extract features from video input, which are then analyzed using the Random Forest algorithm for classification. In this research, the model's evaluation results use a confusion matrix with testing scenarios based on the division of training and testing data. From the model evaluation results, an accuracy of 99% was achieved. This research is expected to help deaf individuals communicate with hearing people, thereby reducing social gaps.

SI-MOHONBANGET: Sistem Informasi Permohonan Pembangunan & Pengembangan Aplikasi Berbasis Website di Lingkungan Kabupaten Musi Banyuasin

Muhammad Adji Arrafi, Rahayu Amalia, Nyimas Sopiah, Fitri Purwaningtias — Tue, 12 Nov 2024 00:00:00 +0700

Public services are one of the obligations that local governments must fulfill to meet the rights of their citizens. In its implementation, local governments leverage technological advancements to save costs and conserve resources, one of which is by creating an online Application for Development and Application Development Information System (SI-MOHONBANGET). This integrated national digital service can enhance the quality of government administrative services and public services that are more systematic, straightforward, and integrated. Currently, the development of information and communication technology in regional apparatus at the Communication and Information Office, particularly in the field of Applications and Informatics, is still conducted manually, requiring individuals to visit the office directly. This process is time-consuming and prone to errors, as well as data corruption, while also minimizing the occurrence of data redundancy. Therefore, it is essential to develop an application for regional apparatus to facilitate online applications for the construction and development of applications with substantial storage capacity, allowing for periodic data checks. The method used in this research is web engineering. The result of this study is the availability of an application that can be utilized to submit requests for the development and establishment of web-based applications within the Government of Musi Banyuasin Regency.

E-Layanan Publik Kelurahan 35 Ilir Berbasis Mobile Web

Kiki Rizky Amanda, Muhammad Ariandi, Suyanto, Marlindawati — Tue, 12 Nov 2024 00:00:00 +0700

The rapid advancement of information technology has significantly impacted productivity, enabling tasks to be completed more efficiently. In government and public service institutions, utilizing information technology is essential, as it has proven to enhance the quality of services, making them more responsive, effective, efficient, and accountable. According to Law Number 25, Article 1, Paragraph 1 of 2009, public service is defined as activities or a series of activities aimed at fulfilling service needs based on regulations, for every citizen and resident, concerning goods, services, and/or administrative assistance provided by public service providers. Implementing electronic services accelerates the development of e-Government. Public services at the village administration level play a crucial role in delivering quality service to the community. Unfortunately, public services at the 35 Ilir Village have received numerous complaints from the local community. This issue arises because the administrative document submission system is still handled manually, requiring each document to be printed and filed manually.

Optimalitas Perancangan Website: Pendekatan User Centered Design untuk Pengalaman Pengguna Berbagai Usia di Situs Jalan Cantik

Ardra Maulana Adwitiya Nugroho, Suprihadi — Tue, 12 Nov 2024 00:00:00 +0700

In the digital age, a deep understanding of user experience (UX) and user interface (UI) is crucial for enhancing user satisfaction. This research explores the application of User Centered Design (UCD) in designing the "Jalan Cantik" website. By understanding the preferences, needs, and abilities of users from various age groups, the aim is to create a website that is more engaging, user-friendly, and effective in facilitating public participation in road infrastructure maintenance. The study also assesses the usability of the "Jalan Cantik" website using the System Usability Scale (SUS) with 50 respondents of different ages. The results show an average SUS score of 80.25, which falls into the "Excellent" category based on the SUS adjective rating scale. This score reflects a high level of user satisfaction, particularly in ease of navigation, information clarity, response speed, and design consistency.

Studi Kasus Penerapan Metode RAD dalam Pengembangan Website Silsilah Keluarga Mbah Mansyur

Usep Saprudin, Maulana Rizki Pratama — Mon, 18 Nov 2024 00:00:00 +0700

The study aims to develop a web-based family tree application using the Rapid Application Development (RAD) method for the Extended Family of Mbah Mansyur. RAD was chosen for its ability to accelerate the development process through rapid iterations and active user involvement. The application development was carried out in several cycles, incorporating user feedback to refine features and the interface. Testing results showed that the application effectively facilitates users in adding, editing, and viewing family data in real-time with responsive search functionality. The advantages of the RAD method were evident in the shorter development time and the application's adaptability to user needs. This application is expected to digitally preserve family history for future generations.

Pengaruh Ping of Death pada Perangkat dengan Sistem Keamanan Jaringan NIDS dan HIPS

Faisal Hakim Indrayana, Erwien Christianto — Mon, 18 Nov 2024 00:00:00 +0700

The security system on the network was created virtually via OpenvSwitch using the NIDS and HIDS methods designed using SNORT. The results of the Ping of Death attack cause the CPU performance to be very high, so that the computer works optimally due to the large number of packets going to the Server computer.

Penerapan IoT dalam Sistem Monitoring Suhu dan Kelembapan pada Lahan Bawah Tanah (Basement) Masjid Al-Barkah

Tundo, Anisah Nurul Azhar, Kiki Setiawan, Raisah Fajri Aula — Tue, 19 Nov 2024 00:00:00 +0700

Underground areas, commonly referred to as basements, are often used for essential functions such as parking and electrical distribution spaces. However, unstable temperature and humidity levels due to poor air circulation can affect comfort and safety. Therefore, a system capable of automatically monitoring and controlling temperature and humidity is needed to optimize comfort and energy efficiency. This research employs an Internet of Things (IoT) approach using a DHT11 sensor to detect temperature and humidity in the basement. The data collected by the sensor is processed using a NodeMCU ESP32 microcontroller and then displayed in real-time on a web-based application via the cloud. The system also automatically controls the fan/blower to maintain ideal conditions in the basement. The results of this research show that the implemented IoT system demonstrates high effectiveness in monitoring temperature and humidity in real-time, providing accurate data, enabling energy savings by automatically regulating the fan/blower, and improving air quality and user comfort in the basement.

Pengaruh Kualitas Website Perpustakaan Universitas Jambi Terhadap Kepuasan Pengguna Menggunakan Metode WebQEM

Dewi Lestari, Daniel Arsa, Tania Rahmadesia — Tue, 19 Nov 2024 00:00:00 +0700

Research uses the WebQEM technique, which assesses four factors: usability, functionality, reliability, and efficiency, to examine how the Jambi University library website quality affects user satisfaction. Eighty respondents completed questionnaires that were used to gather data. The findings demonstrate that, while there is room for improvement in a number of areas, including ease of help retrieval, page navigation, link validity, and information relevance, the quality of the library website has a positive and significant impact on user happiness. Users believe that the website is devoid of helpful features, navigates poorly, has broken links, and occasionally offers information that is insufficient for their needs. Enhancing navigation, adding help services, and assessing the accuracy of links and the suitability of the content are some suggestions for enhancement to the website.

Penggunaan Metode Reverse Engineering untuk Analisis Aplikasi .apk dalam Meningkatkan Keamanan Perangkat Android

Fitriyanti S, Yudi Prayudi — Tue, 19 Nov 2024 00:00:00 +0700

The digital world has simplified life through technology, particularly with the significant role of smartphones. Android has become the dominant operating system in Indonesia, but its widespread use also increases potential security vulnerabilities, especially since many users lack understanding of data security. During the period of 2018-2020, around 74.95% of smartphone users in Indonesia used Android, most of whom were regular users who may not be aware of data security issues. This research aims to analyze the vulnerabilities of Android devices and the characteristics of the wedding invitation.apk application using reverse engineering to identify malware. Reverse engineering was used to extract data from the wedding invitation.apk file. The research results showed the presence of Spyware malware in the application, which, after installation, could send sensitive data to an external server without adequate protection and access data through OTP SMS and a Telegram bot. This application has the potential to misuse permissions to access SMS, send sensitive data to external servers without permission, and automatically send SMS. To reduce risks, it is recommended to download applications only from trusted sources, check application permissions before installation, regularly update the operating system and applications, and use security applications. This research emphasizes the importance of better security practices in mobile application development to protect users' privacy and data integrity.

Analisis Perbandingan Metode Convolutional Neural Network (CNN) dan MobileNet dalam Klasifikasi Penyakit Daun Padi

Tazkira Turahman, Erfan Hasmin, Komang Aryasa — Tue, 19 Nov 2024 00:00:00 +0700

This study aims to compare the effectiveness of Convolutional Neural Networks (CNN) and MobileNet in classifying rice leaf diseases (Oryza sativa), such as bacterial blight, brown spot, and leaf smut. The use of a dataset from Kaggle facilitates the performance evaluation of both models. The results show that MobileNet achieved a higher accuracy of 94.79% in just 10 epochs, while CNN reached 90.24% after 150 epochs. MobileNet’s efficiency in terms of training time and performance is superior to CNN. This study recommends using MobileNet for similar applications and further research with an expanded dataset and other deep learning methods.

Komunikasi Persuasif Coffee Shop melalui Strategi Experiential Marketing

Muhammad Alwan Hanif, Mustiawan, Nurlina Rahman — Sat, 30 Nov 2024 00:00:00 +0700

This study is a study of persuasive communication strategies conducted by Niskala Coffee. Through experiential marketing, Niskala Coffee builds relationships through emotional engagement and enhances consumer experience. This phenomenon is explored using a qualitative approach with a case study method, data using interviews, observations, and documentation. Data analysis was carried out in three stages, namely reduction, presentation, and conclusion with data triangulation to maintain data validity. The results of the study indicate the success of the application of experiential marketing elements (sense, feel, think, act, and relate) in forming a unique consumer experience that is complemented by the influence of the natural environment, in this case the nearby lake, which is directly relevant to Niskala Coffee. This practice builds an intimate relationship and helps enhance the customer journey. Although contextualized to a specific setting, the evidence from this study provides a unique contribution to the development of experiential marketing in nature-based food businesses

Penerapan Sistem IoT Berbasis Energi Surya untuk Pemberian Pakan Otomatis dan Pemantauan Kualitas Air pada Budidaya Udang Vaname

Safrizal Razali, Aulia Rahman, Adrian Damora — Sat, 30 Nov 2024 00:00:00 +0700

Vannamei shrimp (Litopenaeus vannamei) merupakan salah satu komoditas utama akuakultur nnasional di Indonesia dengan potensi?ekonomi yang besar. Nonetheless, obstacles like poor water quality and inadequate feed practices prevent sustainable aquaculture. This study aims to design an automatic feeding system for the Internet of Things (IoT) equipped for real-time monitoring of water pH and temperature, powered by solar energy. The system consists of a pH sensor (PH-4502C), a temperature sensor (DS18B20), an ESP32 microcontroller and a Blynk application, which serves as the main interface for the system. The testing was done to prove that this whole system works fine with 2 nos of 100Wp monocrystalline solar panels with 12V 100Ah batter. The system successfully enhances farm operational efficiency, boosts energy sustainability, and offers a novel solution for vannamei shrimp farm management.

Budaya Organisasi Work From Anywhere pada Divisi E-Government Procurement PT. Telkom Indonesia

Delima Asri Musfira, Farida Hariyati, Vilya Dwi Agustini — Sat, 30 Nov 2024 00:00:00 +0700

Communication Culture of Work From Anywhere Workers in the E-Government Procurement Division of PT Telkom Indonesia. Organizational culture is not just about the way messages are delivered, but also delves into values, rituals and communication patterns. But what if organizational culture is applied by workers who rarely meet in the office face-to-face, but only through technology platforms. So how is communication carried out to accommodate the needs of workers who are scattered in various locations. So the purpose of this research is to find out how the WFA organizational culture in the E-Government Procurement Division of PT Telkom Indonesia. The research method used in this research is a case study, with a descriptive qualitative approach. Data collection was carried out by participatory observation, in-depth interviews, and literature review. Meanwhile, the result of this research is that WFA organizational culture in Govtech division is created as through adaptive communication with technology-based, and accentuates the point of ritual assumption based on Organizational Culture theory, because this ritual assumption is only done by employees who work in WFA in Govtech.