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INTI Nusa Mandiri
Published by PPPM Nusa Mandiri
ISSN : 02166933     EISSN : 2685807X     DOI : -
Core Subject : Science,
Computer Science & IT
The INTI Nusa Mandiri Journal is intended as a media for scientific studies on the results of research, thought and analysis-critical studies on the issues of Computer Science, Information Systems and Information Technology, both nationally and internationally. The scientific article in question is in the form of theoretical review and empirical studies of related sciences, which can be accounted for and disseminated nationally and internationally.
Arjuna Subject : -
Articles 475 Documents
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ENTERPRISE ARCHITECTURE PLANNING BAGI DESA DIGITAL DI KABUPATEN SUMEDANG Hari Supriadi; M.Rozahi Istambul; Parlindungan Parlindungan
INTI Nusa Mandiri Vol. 18 No. 2 (2024): INTI Periode Februari 2024
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v18i2.4990

Abstract

Penerapan Enterprise Architecture (EA) telah menjadi keharusan strategis yang penting untuk menjawab tantangan transformasi digital di Desa Digital. Penelitian ini bertujuan untuk mengembangkan Enterprise Architecture Desa Digital di Kabupaten Sumedang. Permasalahan utamanya terletak pada tidak adanya kerangka terstruktur atau tata kelola dalam pengelolaan transformasi digital yang efektif di tingkat desa. Metodologi yang digunakan dalam mengembangan Enterprise Architecture pada Desa Digital menggunakan Enterprise Architecture Planning (EAP), EAP dilakukan secara cermat, dimulai dengan analisis mendalam mengenai tantangan spesifik yang dihadapi desa dalam proses transformasi digital. Tahapan perancangan EAP meliputi inisiasi perencanaan, pemodelan bisnis dan teknologi saat ini, perancangan arsitektur data, arsitektur aplikasi, arsitektur teknologi, dan perencanaan implementasi. Temuan penelitian ini bahwa partisipasi aktif pemerintah daerah, masyarakat, dunia usaha dan pakar teknologi dianggap penting dalam merumuskan rencana EAP yang komprehensif. Penekanannya adalah pada pendekatan inklusif untuk memastikan keselarasan antara tujuan bisnis desa dan infrastruktur teknologi yang direncanakan, sehingga memberikan panduan praktis bagi pengambil keputusan dalam mengarahkan transformasi menuju Desa Digital yang lebih adaptif dan inovatif. Penelitian ini menghasilkan panduan berupa roadmap pengembangan teknologi informasi 5 tahun ke depan yang terdiri dari 14 data kandidat, 7 kandidat aplikasi, dan peta jaringan terkait, yang dapat memberikan wawasan berharga bagi kepala desa dalam merencanakan dan melaksanakan perubahan arsitektur yang ada apakah sudah sesuai dengan kebutuhan, kekhususan dan potensi Desa Digital.
PENERAPAN MODEL WATERFALL DALAM PERANCANGAN APLIKASI DIGITAL CUSTOMER RELATIONSHIP MANAGEMENT PRODUK FASHION Sri Harjunawati; Taufik Baidawi; Ida Hendarsih
INTI Nusa Mandiri Vol. 18 No. 2 (2024): INTI Periode Februari 2024
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v18i2.4995

Abstract

To win business competition and maintain market share, companies are required to be able to adapt to market conditions and use appropriate marketing strategies. Customer Relationship Management (CRM) is a marketing strategy to create and maintain good relationships with customers thereby reducing the possibility of customers moving to competitors. The aim of the research is to analyze and develop web-based CRM in the Marketing Information System at Toko Agung, East Jakarta. The research method used in this research is the Software Development Method using the waterfall model. The result is a web-based CRM system application that can manage customer data, product orders, payments and delivery of goods to customers. The implementation of this web-based digital CRM application is expected to make it easier for customers to select the desired product, place an order, make payments and receive goods without having to come to Toko Agung. For busy customers, this system is more efficient and effective. It is hoped that this convenience will have an impact on repeat purchases and will increase sales volume, which can then increase company profits. The Customer Relationship Management (CRM) application can simplify, speed up and optimize the quality of customer service, especially at Toko Agung, East Jakarta.
EVALUASI USABILITY WEBSITE BUKALAPAK DAN TOKOPEDIA MENGGUNAKAN METODE USER EXPERIENCE QUESTIONNAIRE (UEQ) I Gusti Putu Agung Arka Putra; Pande Putu Ode Juliantara. KW; I Made Agus Oka Gunawan; Gede Indrawan
INTI Nusa Mandiri Vol. 18 No. 2 (2024): INTI Periode Februari 2024
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v18i2.5023

Abstract

This research aims to compare elements of usability and user experience on the e-commerce platforms Bukalapak and Tokopedia. Usability quality has important significance because if an application or website has optimal usability, users will be able to use it easily. Users who feel disappointed or have difficulty interacting with a website are likely to leave the platform and look for an alternative that is easier to use. Therefore, usability evaluation becomes crucial for e-commerce websites. Measurements were carried out using the User Experience Questionnaire (UEQ) method which involves several aspects, including attractiveness, perception, efficiency, dependability, stimulation and novelty. The results of evaluating user usage and experience on these two e-commerce websites, using the UEQ method, show that Bukalapak achieved an Attractiveness value of 0.80, Perspicuity of 0.83, Efficiency of 0.63, Dependability of 0.53, Stimulation of 0.74, and Novelty of 0.38. Meanwhile, Tokopedia achieved an Attractiveness score of 1.24, Perspicuity of 1.08, Efficiency of 1.20, Dependability of 1.19, Stimulation of 0.96, and Novelty of 0.70. Therefore, it can be concluded that Tokopedia shows better performance than Bukalapak in terms of usability and user experience on the e-commerce platform.
PENERAPAN ALGORITMA CNN MENGGUNAKAN FRAMEWORK YOLO UNTUK DETEKSI OBJEK PRODUK DI PERUSAHAAN MANUFAKTUR Asep Maulana; Maman Suherman; Anis Fitri Nur Masruriyah; Hilda Yulia Novita
INTI Nusa Mandiri Vol. 18 No. 2 (2024): INTI Periode Februari 2024
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v18i2.5028

Abstract

Component products used for manufacturing a machine in manufacturing companies have two types of products, type A and B. The problem that often occurs in the industry is product sorting errors due to the traditional sorting process, using human labor. The disadvantages are limited human labor so that fatigue can occur, causing errors in sorting products and losses for the company. Many studies discuss object detection, Industrial problems in the checking process can be approached with the help of this technology. Object detection works to analyze frames with the method of finding objects. There are methods in digital image processing, CNN algorithms which include methods in computer vision. The growing framework makes the CNN algorithm more powerful. YOLO includes a framework based on the CNN algorithm. YOLOv5 detects objects by taking into account the object's confidence value, the output of the detected object is a bounding box on the object. The problem in the industry in the checking process can be approached with the help of this technology. For this reason, this research aims to create a model for product object detection in manufacturing companies. The process carried out is data collection, image annotation, training, testing, evaluation. The images collected were 137 for training data and 34 for validation data totaling 171 image data. The results of the model using YOLOv5 with epoch 1000 get a precision value of 100%, recall 100% and mAP 99%, the product detection results get an average value of 100%.
OPTIMISASI PEMILIHAN FITUR UNTUK PREDIKSI GAGAL JANTUNG: FUSION RANDOM FOREST DAN PARTICLE SWARM OPTIMIZATION Imam Nawawi
INTI Nusa Mandiri Vol. 18 No. 2 (2024): INTI Periode Februari 2024
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v18i2.5031

Abstract

Heart failure is a serious, life-threatening cardiovascular disease that increases with age and unhealthy lifestyles. Early prediction is essential to provide timely treatment and reduce mortality. The use of machine learning techniques, especially the Random forest (RF) method, for predicting heart failure has been previously researched, so the problem that occurs is that the RF method does not have maximum results because of irrelevant features. Selection of relevant features is a key step in building an accurate prediction model. Particle Swarm Optimization (PSO) is used to improve feature selection by searching for optimal combinations. The aim of the research is to reduce the mortality rate by improving the RF method with relevant features so as to increase the accuracy of predictions with Fusion RF and PSO. The results show an increase in accuracy of 02.78% to 87.33% with PSO, although the AUC decreased by 0.031%. The advantage of PSO is a significant increase in accuracy, but the disadvantage is a slight decrease in AUC. Future developments could explore how to address AUC degradation without compromising accuracy and transmitting additional relevant features.
PENERAPAN METODE APPLICATION DEVELOPMENT DALAM PERANCANGAN PROGRAM PENJUALAN TANAH KAVLING BERBASIS WEBSITE Maharrandi Dwiki Saputra; Kusmayanti Solecha
INTI Nusa Mandiri Vol. 18 No. 2 (2024): INTI Periode Februari 2024
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v18i2.5034

Abstract

Currently, property developer agencies are progressing rapidly, the supporting elements of home ownership are also facilitated by the presence of home ownership loans. In the process of selling land property, it still uses conventional methods so that customers must be present in person to find and order land plots. The sales process is still manual, causing errors in reporting and making it difficult for employees to find documents. The purpose of this research is to design a website-based land plot sales program that can facilitate the process of providing online land availability information, the land plot sales process which is equipped with a payment scheme calculator feature and a track booking feature. This research uses the Rapid application Development (RAD) model with the aim that the application can be efficient in processing time, and uses the black-box testing method in its testing. The result of this research is a land plot sales website with a payment scheme calculator feature and a track booking feature, so that the sales process becomes efficient, reporting data becomes accurate and data search becomes easier.
ANALISA KEPUASAN PENGGUNA WEBSITE TOP UP VOUCHER GAMES ONLINE MENGGUNAKAN WEBQUAL 4.0 Shinta Oktaviana R; Rifqi Avriyansyah Prayudha
INTI Nusa Mandiri Vol. 18 No. 2 (2024): INTI Periode Februari 2024
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v18i2.5036

Abstract

The online gaming industry generates revenue through the sale of games that customers pay to play. In Indonesia, there are numerous programs that offer online game vouchers at different costs and with various payment options. The objective of this study is to identify the variables that influence user satisfaction on web applications that offer online game coupons. The study used the WebQual 4.0 methodology as a tool for evaluating the caliber of web apps. The research was conducted online via the Google Form application. The data collection period spanned from June 11, 2023 to June 29, 2023, and we got 130 respondents. The data was evaluated using descriptive statistical analysis with the aid of SPSS tools. The findings of this study indicate that the variable of Interaction Quality (X3) has a significant role in determining user satisfaction for online game voucher websites, however the factors of Usability (X1) and Information Quality (X2) do not exert any influence on user satisfaction. Therefore, this research shows that hypotheses H1 and H2 are rejected for all data groups. This research provides recommendations to online game voucher application owners to focus on interaction quality variables in further web application development.
CLUSTERING DATA METEOROLOGI WILAYAH INDONESIA TIMUR DENGAN METODE K-MEANS DAN FUZZY C-MEANS Gion Andrian; Desi Arisandi; Teny Handhayani
INTI Nusa Mandiri Vol. 18 No. 2 (2024): INTI Periode Februari 2024
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v18i2.5039

Abstract

Climate change is a global issue that affect human life and the environment. Signs of climate change can be observed from long-term meteorological data. This research uses clustering techniques with the K-Means and Fuzzy C-Means methods to group cities in the Eastern Indonesia region based on numerical daily time series meteorological data from 1 January 2010 to 31 August 2023. The variables are minimum temperature, maximum temperature, temperature average, humidity, rainfall, duration of sunlight, maximum wind speed, and average wind speed. The dataset was collected from 28 meteorological stations. The K-Means and Fuzzy C-Means methods obtained the same results, namely the highest silhouette value of 0.218 with the number of clusters k = 2. In general, the annual trend shows an increase in temperature and a decrease in wind speed which are signs of climate change. This research is an early study of climate change in East Indonesia. The results of this research are expected to contribute to the study of climate change in Indonesia.
SINTESA CITRA DAUN KOPI MENGGUNAKAN GENERATIVE ADVERSARIAL NETWORK PADA DATASET PENYAKIT DAUN KOPI Siti Khotimatul Wildah; Abdul Latif; Toto Haryanto
INTI Nusa Mandiri Vol. 19 No. 1 (2024): INTI Periode Agustus 2024
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v19i1.5045

Abstract

Coffee, as the second most traded commodity after petroleum, faces production challenges, especially due to pest or disease attacks on coffee leaves. Therefore, it is important to carry out early detection of the disease in order to minimize the risk and apply special treatment. Automatic detection of disease can be done through the application of Computer Vision technology. However, one of the main challenges faced is the limited training dataset. Generative Adversarial Networks (GANs) is a Deep Learning method that is capable of modifying images with high quality. This research aims to synthesize coffee leaf images based on the public Coffee Leaf Disease dataset using the GANs method. Testing was carried out using the RMSProp optimizer, the learning rate was 0.0001 and was carried out for 300 epochs. The architecture built uses 26 layers in the generator model and 15 layers in the discriminator model. The results of the test show that the drilled network obtained an MMSE value of 0.1658, which is not too high because the resulting synthesized image is not very good.
KLASTERISASI ANGKATAN KERJA DI INDONESIA BERDASARKAN USIA MENGGUNAKAN METODE ALGORITMA K-MEANS Ririn Restu Aria
INTI Nusa Mandiri Vol. 18 No. 2 (2024): INTI Periode Februari 2024
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v18i2.5056

Abstract

The concept of the population is divided into two groups, namely the working age population and the population not working age. Indonesia, which has 34 provinces, has an unequal distribution of labor force due to the level of economic growth that is still not evenly distributed in several sectors. Labor is the most important and influential element in managing and controlling the economic system. In this study the method used in the grouping of provinces was based on the workforce in 34 provinces using the K-Means algorithm. The purpose of grouping data is done to get a province grouping that has a workforce in Indonesia by grouping / clustering into 3 groups based on age groups using the K-Means algorithm. Based on the calculations, the results of cluster 0 were 6 provinces, cluster 1 as many as 3 provinces and cluster 2 were 25 provinces. The K-Means algorithm can be used to understand the workforce problems and make it easier to describe the characteristics or characteristics of each group. Based on these results, the local government can give more attention to the regions with the smallest workforce such as the Province of Central Sulawesi, East Kalimantan, Jambi so that economic growth in various sectors can be increased so that the welfare of the workforce, especially in terms of work in the field of work can be easily obtained.

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