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TIN: TERAPAN INFORMATIKA NUSANTARA
Published by Forum Kerjasama Pendidikan TInggi
ISSN : -     EISSN : 27227987     DOI : -
Core Subject : Economy, Health, Science, Education, Art, Social, Engineering,
Aerospace Engineering Arts Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Social Sciences Veterinary Other
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 582 Documents
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Pengaturan Kecepatan Motor Induksi Tiga Fasa Berbasis Teknik Modulasi Carrier Based Pulse Width Modulation (CBPWM) dengan Kendali Kontroller Fuzzy Logic Darwinata, Lalu Ishadi; Wiryajati, I Ketut; Citarsa, Ida Bagus Fery
TIN: Terapan Informatika Nusantara Vol 4 No 12 (2024): May 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v4i12.5169

Abstract

Along with increasing progress in the industrial world in Indonesia, the need for equipment used in the production of goods has also increased. One of the important equipment in an industry is a driving tool. The electric motor is a driving tool that has a big influence on the goods production system. Therefore, this paper discusses speed regulation of electric motors, especially 3-phase induction motors using Carrier Based Pulse Width Modulation (CBPWM) with Fuzzy Logic control which was carried out in Mataram. The speed response of the system will be improved with Fuzzy Logic Control (FLC). The results of the observations are compared with a system controlled by a PID controller. Simulation results with Simulink show that the Fuzzy Logic controller based on Carrier Based Pulse Width Modulation Control provides a better response than the PID controller. This is shown when there is an overshoot of 0%, a rise time of 0.5 seconds and a setting time of 1.5 seconds, whereas on the PID controller when there is an overshoot of 0.4%, a rise time of 0.7 seconds, and a setting time of 2.5 seconds, for a motor reference speed of 2 rad/second and load torque 0, 25, 50, 75, 100, 125, 150, 200 Nm. From the simulation results, it is proven that using a Fuzzy Logic controller based on Carrier Based Pulse Width Modulation Control, the speed response of a three-phase induction motor is better than using a PID controller.
Rancang Bangun Alat Pengering Kerupuk Kulit Dengan Pemanas Heater Menggunakan Fuzzy Logic Berbasis Mikrokontroler Ramadhan, Muh. Riski; Darmawan, Budi; Suksmadana, I Made Budi
TIN: Terapan Informatika Nusantara Vol 4 No 12 (2024): May 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v4i12.5175

Abstract

Livestock leather is a food ingredient that can be processed using various types of preparations, one of which is into leather crackers. The processing of leather crackers is done by drying which reduces the water content to the required limit. The processing process requires a long process with the help of sunlight for drying which takes 1-2 days. This research aims to design and develop a skin cracker drying system by utilizing a control-based method fuzzy logic to speed up the drying process of skin crackers. This system consists of a temperature sensor, a weight sensor. Testing of this system has been carried out using several pieces of skin as samples. The research results show that the control method is based on fuzzy logic can stabilize the temperature to the desired for the drying process. Application of heating control methods based on fuzzy logic The skin cracker drying machine is designed at a set point temperature of 50°C so that it can help reduce the weight of the crackers linearly so that the skin crackers are wet weighing 3kg to 973 grams which takes 7 hours.
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%.
Analisis dan Simulasi Rangkaian Konverter Buck untuk Efisiensi Tinggi dalam Pengisian Perangkat Portabel 5 Volt Nizar, Fahrun; Wiryajati, I Ketut; Nababan, Sabar
TIN: Terapan Informatika Nusantara Vol 5 No 2 (2024): July 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v5i2.5230

Abstract

Technological developments and advances have caused many electrical and electronic devices to almost all use DC voltage sources whose voltage can be adjusted. So a tool is needed to reduce the DC voltage to an adjusted voltage, namely a buck converter. A buck converter is a device that can reduce DC voltage to a lower voltage. This research aims to design an open and close loop buck converter circuit, determine the level of efficiency and the effect of the duty cycle on the output voltage and the error difference value. Investigation and use of MATLAB/SIMULINK software. In this research, the buck converter duty cycle was changed from 5% - 99% in the open loop and the input voltage was 12 volts - 24 volts in the closed loop which worked at a frequency of 50kHz. The output voltage value that approaches 5 volts is a duty cycle of 40% with the voltage obtained being V measured 5.067 volts, V calculated 4.8 volts with an error difference of 0.267 in the open loop circuit and in the closed loop the average difference in output voltage error is obtained from The setting point voltage is 5 volts, namely 1.102.
Klasifikasi Jenis Jerawat pada Data Citra Jerawat Wajah Menggunakan Convolutional Neural Network Putri, Chatarina Natassya; Qornain, Wafi Dzul; Bamahri, Fakhirah; Yuliastuti, Gusti Eka; Kurniawan, Muchamad
TIN: Terapan Informatika Nusantara Vol 5 No 2 (2024): July 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v5i2.5231

Abstract

Acne is a condition caused by pilosebaceous inflammation which affects 85% of skin conditions in adolescents and adults. Acne has an impact on the psychological and social health of sufferers. To treat acne, it is necessary to know the right type of acne so that sufferers can treat the type of acne according to how they are treated. This research was carried out to classify the types of acne in facial acne images using the Convolutional Neural Network (CNN) method. Based on previous research, it shows that the use of CNN is considered effective and appropriate in increasing classification accuracy. This research uses a dataset of acne types from Kaggle with a total of 351 data, divided into 5 classes, namely acne fulminans, acne nodules, fungal acne, papules and pustules which will be tested using 2 different optimizers, namely Adam and RMS- prop. From the results of this test, the highest accuracy was 100% using the Adam optimizer and the RMS-prop optimizer test obtained the highest accuracy value of 80%.
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.

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