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TIN: TERAPAN INFORMATIKA NUSANTARA
Published by Forum Kerjasama Pendidikan TInggi
ISSN : -     EISSN : 27227987     DOI : -
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Jurnal TIN: TERAPAN INFORMATIKA NUSANTARA memuat tentang Kajian Bunga Rampai dari berbagai ide dan hasil penelitian para peneliti, mahasiswa, dan dosen yang berkompeten di bidangnya dari berbagai disiplin ilmu seperti: Komputer, Informatika, Industri, Elektro, Telekomunikasi, Kesehatan, Agama, Pertanian, Pembelajaran, Pendidikan, Teknologi Pendidikan, Ekonomi dan Bisnis, Manajemen, Akuntansi, dan Hukum
Arjuna Subject : Umum - Umum
Articles 10 Documents
 1 
Search results for , issue "Vol 5 No 1 (2024): June 2024" : 10 Documents clear
Analisis Pengendalian Persediaan Bahan Baku Kertas Menggunakan Metode Material Requirement Planning (MRP) di Perusahaan Manufaktur Priyatna, Thalita Assyifa Dwi; Vikaliana, Resista
TIN: Terapan Informatika Nusantara Vol 5 No 1 (2024): June 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v5i1.5133

Abstract

PT ABC is a manufacturing company that has been operating for more than 30 years in the packaging industry such as paper bags, inner boxes, corrugated carton boxes, rigid boxes, and pulp molds. Based on several materials needed in the production process, duplex paper is the one that has the most problems due to the nature of the material being easily damaged and also orders being made more frequently than other materials. Delays in deliveries from suppliers, the quality of raw materials being below standard so they cannot be used for production, and unexpected spikes in customer demand are the main problems faced by PT ABC. This often results in excesses and shortages of raw materials in the company and makes total inventory costs unstable. In order to avoid wasteful inventory costs and optimize the amount of inventory, proper raw material inventory control is needed. One effective method for implementing raw material inventory control is Material Requirement Planning (MRP) using Economic Order Quantity (EOQ), Point Order Quantity (POQ) and Lot for Lot (LFL) techniques. Apart from that, forecasting is also needed to reduce the level of uncertainty in the future by providing estimates of what might happen. So, this research aims to determine the best forecasting method and the most optimal lot sizing technique so that the company's total inventory costs are more efficient. From the data processing that has been carried out, the Moving Average method is the best method because it obtains the smallest error value, while the LFL lot sizing technique is the most efficient with the smallest total inventory costs of IDR 5,040,000 per year compared to the EOQ technique of IDR 31,185,794 and POQ amounting to IDR 23,042,365.
Pemanfaatan E-Customer Relationship Management untuk Peningkatan Usaha Tour & Travel dengan Pengujian User Centered Design Yanto, Widja; Mulyono, Herry
TIN: Terapan Informatika Nusantara Vol 5 No 1 (2024): June 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v5i1.5152

Abstract

Nada Salwa Tour & Travel is one of the service businesses operating in the travel sector. Currently, the existing system faces challenges in acquiring new customers, enhancing relationships with existing ones, and retaining them. To address these issues, Nada Salwa Tour & Travel requires a web-based Electronic Customer Relationship Management (E-CRM) system that can assist both the company and its customers in fostering good relationships. The objective of this research is to analyze the service relationship between the company and its customers and to design a Sistem web-based Electronic Customer Relationship Management (E-CRM) system to create better relationships through website features. The author conducted object-oriented design including Use Case diagrams, activity diagrams, class diagrams, interface designs, and database structure tables. The result of this research is a Sistem web-based E-CRM system that can help address the existing problems at Nada Salwa Tour & Travel. The testing result of the designed interface using the cognitive walkthrough method with 5 respondents shows learnability at 96.15%, error rate at 1.34%, and efficiency at 94.93%.
Penentuan Status Gizi Pada Balita Menggunakan Fuzzy Inference System Dengan Metode Fuzzy Tsukamoto Vandelweiss, Dita Aura; Fauzi, Ahmad; Kusumaningrum, Dwi Sulistya; Baihaqi, Kiki Ahmad
TIN: Terapan Informatika Nusantara Vol 5 No 1 (2024): June 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v5i1.5188

Abstract

Nourishing status in babies is a vital consideration of guaranteeing sound development and improvement. This exploration plans to foster a specialist framework for nourishing status in babies using the fluffy surmising framework strategy with the Tsukamoto fluffy calculation in view of body weight and level. In light of essential information overviews and meetings, the information gathered from coordinated wellbeing, in particular Posyandu West Adiarsa, Adiarsa Pusaka, and Telukjambe Timur in Karawang Regime added up to 181 information on kids under five. Framework configuration incorporates a point of interaction framework consisting of information, yield, data set, information construction and calculation framework plan. Framework execution was done using HTML, PHP, MySQL, and Cup. The testing framework includes a fluffy deduction framework using the Tsukamoto fluffy technique on various review instances of young children with different dietary circumstances, with contribution of 3 factors consisting; old enough, weight, level. The experimental outcomes will be contrasted and the nourishing is not entirely set in stone by a nutritionist. This exploration produces fluffy sets for the factors of weight, level and healthful status, as well as fluffy registering decisions that interface information and results. The test brings about the framework obtained a precision of 96% on the grounds that 181 tests were carried out on each information variable which adapted the factors 'terrible', 'less', 'typical', 'more' and 'weight'.
Analisis Customer Relationship Management (CRM) Pada Bisnis Penjualan Sepeda Motor dengan Pengujian Sistem Metode UCD Fitriany, Armelia Eka; Mulyono, Herry
TIN: Terapan Informatika Nusantara Vol 5 No 1 (2024): June 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v5i1.5212

Abstract

Nada Salwa Tour & Travel is a service business operating in the travel sector. Where the current system has obstacles in acquiring new customers, improving relationships with customers, and retaining customers. Based on existing problems, Nada Salwa Tour & Travel requires a web-based Electronic Customer Relationship Management (E-CRM) system that can help Nada Salwa Tour & Travel and customers in establishing good relationships. The aim of this research is to analyze the service relationship between companies and customers and design a web-based Electronic Customer Relationship Management (E-CRM) System to create better relationships between companies and customers through website features. The author implemented an object-oriented system including Use Case diagrams, activity diagrams, class diagrams, System View displays, database structure tables. The result of this research is a web-based E-CRM system that can help solve the problems that exist at Nada Salwa Tour & Travel. The results of testing the design that was created using the cognitive walkthrough method with a total of 5 respondents were learning ability 96.15%, error 1.34%, and efficiency 94.93%.
Enhancing Predictive Accuracy for Differentiated Thyroid Cancer (DTC) Recurrence Through Advanced Data Mining Techniques Sibarani, Imelda Juliana Br.; S, Katherina Meylda Loy; Suharjito, Suharjito
TIN: Terapan Informatika Nusantara Vol 5 No 1 (2024): June 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v5i1.5237

Abstract

Thyroid cancer is becoming more common, and its 20% recurrence rate of which almost half are discovered more than five years after surgery, highlights how difficult it is to distinguish between a true disease relapse and chronic disease brought on by insufficient initial treatment. This ambiguity highlights the complicated dynamics that drive the mortality rates in patients with thyroid cancer. The purpose of this study is to be refining these predictions to control Differentiated Thyroid Cancer recurrence and minimize the risk of recurrence. The dataset was obtained by monitoring a total of 383 patients with 17 attributes. This study adopted a data mining modelling strategy to evaluate the performance, classification accuracy, and cluster distribution, utilizing the Orange data mining software. The Exploratory Data Analysis was conducted to pinpoint the most significant contributors. Subsequently, a variety of supervised techniques were applied to assess the precision of both single and ensemble models in classification. For cluster determination, we implemented several unsupervised learning techniques, including k-means, hierarchical, and Louvain Clustering. The result shows that ensemble stacking algorithm demonstrated superior performance and classification accuracy, achieving impressive scores of 0.971. The analysis of clustering methods, notably k-means and hierarchical clustering, suggested that the dataset could be segmented into two distinct clusters. The most dominant factors in influencing the recurrence of thyroid cancer with strong correlation revealed 'Response', 'Risk', 'Adenopathy', and 'N'. The refinement of the diagnostic model, through the identification of accurate models and key factors, enhances the prediction of Differentiated Thyroid Cancer recurrence.
Analisis Sentimen terhadap Jalan Rusak di Palembang Pada Media Sosial Menggunakan Algoritma Naïve Bayes Virgiansyah, Muhammad Rifqi; Stephanie, Stephanie; Rizky Pribadi, Muhammad
TIN: Terapan Informatika Nusantara Vol 5 No 1 (2024): June 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v5i1.5239

Abstract

In developed countries, the development of road infrastructure plays a vital role in driving economic development. The involvement of public authorities is very necessary in providing funds for infrastructure development, considering that roads are a very important form of public infrastructure. However, there are still some areas, such as Palembang, where damaged roads are still a serious problem. The Palembang regional government is suspected of being less proactive in improving road infrastructure in their area. In an effort to fight for the government's attention to road conditions in Palembang, the public uses social media as a means to voice complaints. A number of tweets, posts, and submissions using the keyword "Jalan Rusak Palembang" on Twitter, Instagram, and TikTok revealed that sentiment was found to be only 1.8% showing positive sentiment, 13.3% neutral sentiment, and 84.9% sentiment negativity towards damaged road conditions dominates. In order to collect further data regarding public perceptions of road conditions in Palembang, research was conducted using the Naïve Bayes algorithm. The test results show that the Naïve Bayes model provides an accuracy of 91,20, precision of 92,32%, recall of 91,20%, and F1 score of 91,26%, showing excellent performance in classifying public sentiment towards damaged roads in Palembang.
Analisis Perbandingan Algoritma K-Nearest Neighbor dan Decision Tree Pada Klasifikasi Tingkat Stress Individu Manurung, Vanni; Rozi, Anief Fauzan
TIN: Terapan Informatika Nusantara Vol 5 No 1 (2024): June 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v5i1.5286

Abstract

Stress is an individual’s response to changing circumstances, and high levels of stress can have a negative impact on physical and mental health. Correctly identifying stress levels is essential for appropriate medical and psychological interventions. This research aims to determine the more effective and accurate algorithm between K-Nearest Neighbor (KNN) and Decision Tree in classifying individual stress levels. The data used in this study was obtained from the “Human Stress Detection” dataset on the Kaggle website, which includes variables of humidity, temperature, step count, and stress level. The results showed that the K-Nearest Neighbor algorithm managed to achieve a perfect accuracy rate of 100%, while the Decision Tree achieved an accuracy of 99,50%. In addition, in terms of precision, recall, and F1-score, K-Nearest Neighbor also excelled with 100% each, while Decision Tree had 99,45% precision, 99,54% recall, and 99,50% F1-score. The analysis also found that high body temperature (>30°C) and high humidity (>22,5) were associated with higher stress levels. A step count below 90 can also indicate normal or high stress. Thus, this study concludes that the K-Nearest Neighbor algorithm is more effective in classifying an individual’s stress level and factors such as body temperature, humidity, and footsteps play an important role in determining an individual’s stress level.
Implementasi Digital Marketing Menggunakan Platform E-Commerce dan Media Sosial Terhadap Masyarakat Dalam Melakukan Pembelian adhitya, wisnu rayhan; Teviana, Tengku; Sienny, Sienny; Hidayat, Ahmad; Khaira, Imamul
TIN: Terapan Informatika Nusantara Vol 5 No 1 (2024): June 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v5i1.5293

Abstract

This research aims to determine the implementation of digital marketing using e-commerce platforms and social media for the public in making purchases. The aim of implementing digital marketing using e-commerce platforms and social media for people to make purchases includes several important aspects, namely that e-commerce platforms and social media enable businesses to reach a wider audience globally. By leveraging this technology, businesses can get their products or services in front of more people, increasing their chances of attracting new customers. E-commerce makes it easy for people to make purchases anytime and anywhere without having to come to a physical store. A fast and easy purchasing process improves the customer experience and drives loyalty. Through social media and e-commerce platforms, businesses can collect data on consumer preferences and behavior. This data is used to create more relevant and personalized marketing campaigns, thereby increasing the likelihood of conversion. Social media allows businesses to interact directly with customers, receive feedback and build stronger relationships. This interaction can increase customer trust and encourage them to make purchases. Digital marketing is usually more cost efficient compared to traditional marketing. Businesses can reach a large audience with a smaller budget through online advertising and promotions on social media. Digital platforms provide tools to measure and analyze marketing campaign performance in real-time. This data helps businesses to evaluate their strategies and make necessary adjustments to improve results. Digital marketing allows businesses to be more creative in their marketing approach. Interactive content, videos, and other creative campaigns can capture audience attention and make brands stand out. Through social media, businesses can work with influencers to expand their reach and leverage user-generated content to increase brand authenticity and trust. By effectively utilizing e-commerce and social media platforms, businesses can achieve their marketing goals more efficiently, increase sales and build stronger relationships with customers.
Rancang Bangun Sistem Monitoring Daftar Kehadiran Karyawan Berbasis Fingerprint dengan Metode Prototyping Danistian, Angga; Darmawan, Budi; Rachman, A. Sjamsjiar
TIN: Terapan Informatika Nusantara Vol 5 No 1 (2024): June 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v5i1.5345

Abstract

Employee attendance issues are a significant concern in many organizations, particularly regarding fraudulent practices such as proxy attendance and data inaccuracies. Conventional attendance systems relying on signatures or ID cards are often ineffective in preventing these frauds. To address this issue, this study developed a fingerprint-based attendance system integrated with a database and website. The primary objective of this system is to facilitate the attendance recapitulation process, eliminate proxy attendance, and enhance employee awareness and discipline. This system uses fingerprint technology to ensure that each employee is physically present at the time of attendance, thereby improving the accuracy and reliability of attendance data. The research method used is experimental, involving the development of hardware and software with various interconnected components. The results show that this system not only simplifies attendance recapitulation but is also effective in preventing fraud, increasing employee awareness and discipline, and ensuring data security accessible only by the admin. Thus, the fingerprint-based attendance system proves to be an effective solution in addressing attendance issues in the workplace.
Strategi Pengembangan Bisnis Kafe dengan Metode SWOT dan QSPM Ningsih, Margie Subahagia; Sikumbang, Raja Irhas; Rida, Rizkha; Fitri, Li Idi’il
TIN: Terapan Informatika Nusantara Vol 5 No 1 (2024): June 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v5i1.5346

Abstract

Rajin Djalan wants to be more successful and competitive in the coffee shop business in Medan. This study aims to find the best business development strategy for Rajin Djalan in facing competition. Business development strategies are formulated based on SWOT and QSPM analysis. Alternative strategies undertaken for business development should prioritize strategy 2, namely by utilizing social media and creating content that is relevant to consumers and attractive. Results from the SWOT analysis, so the right business development strategy for Rajin Djalan is the S-O (Strengths - Opportunities) strategy, namely using strengths to take advantage of opportunities with alternative strategies: a. Endorsement by Influencer b. Utilize social media and create content that is relevant to consumers and interesting.

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