Jurnal Informasi dan Komputer

IMPLEMENTASI SISTEM MANAJEMEN PREVENTIF UNTUK PEMELIHARAAN INVENTARIS PERANGKAT IT MENGGUNAKAN METODE RAPID APPLICATION DEVELOPMENT

2024-10-01T16:16:48+00:00

This study aims to implement an application that provides employees with the convenience of performing maintenance on IT devices. In the process of recording reports that have not utilized technology such as a recording system using a computer system, with many obstacles in storing paper-based records, which have several weaknesses such as limited storage space, time-consuming document access, risk of damage, vulnerability to documents. There needs to be a management system application to overcome errors in recording reports, in analysis and implementation using software development methods, and in Rapid Application Development (RAD) producing quite good performance for the recording management system. The creation of this system uses the Java programming language for Android, the Firebase database.

PERANCANGAN DESAIN ANTARMUKA SMART E-COMMERCE PENJUALAN HASIL PERTANIAN (SiPeHtanI) BERBASIS WIREFRAMING

2024-10-01T16:16:14+00:00

Agriculture is a vital sector that supports the economy of many countries, especially in regions with fertile land and large agrarian communities. However, farmers often face challenges in marketing and selling their agricultural products. Limited access to broader markets and a lack of accurate information about market prices often make farmers reliant on intermediaries, who can suppress prices and reduce their income. Information and communication technology offers a solution through information systems that facilitate direct marketing. These systems enable farmers to sell their products directly to consumers or traders and access up-to-date market data, supporting better sales decisions and increasing efficiency and productivity. User interface (UI) design plays a crucial role in the success of these systems. An effective interface must be intuitive and easy to use for all users, including farmers, traders, and consumers with varying levels of technological understanding. Therefore, the design of the interface should consider ease of access and use for all user groups, including those less familiar with digital technology. This research aims to design a smart e-commerce interface for the sale of agricultural products using the Wireframing method. This method is expected to make the interface design process more systematic and efficient, as well as minimize the risk of failure.

ANALISIS PERANCANGAN SISTEM INFORMASI PUSAT DATA DAN INFORMASI (PUSDATIN) DOSEN FAKULTAS EKONOMI DAN BISNIS UNIVERSITAS PANCASAKTI TEGAL

2024-10-04T15:49:36+00:00

The use of computers as one of the information technology tools is very much needed in almost every aspect of life. Higher education is currently required to follow the rapid developments in all fields, where these developments require an increase in quality in achieving its goals. The data processing activities in question are in the form of writing activities, storing files, grouping files which are organizational routines that will certainly drain time and space. Data in the form of hard copies are often not neatly arranged according to their groups. Therefore, a system is needed where data can be grouped, processed and stored into a system. The system development model used in this study uses the System Development Life Cycle method. The Research Methodology uses Observation, Interviews and Literature Studies, design process, analysis process and conclusion and suggestion process

STRATEGI IMPLEMENTASI E-COMMERCE DALAM MENINGKATKAN EFFISIENSI OPERASIONAL UMKM DI ERA EKONOMI DIGITAL

2024-10-04T15:54:20+00:00

This research aims to investigate the implementation strategies of E-commerce in enhancing the operational efficiency of Micro, Small, and Medium Enterprises (MSMEs) in the digital economy era. The research method employed a quantitative survey approach with primary and secondary data, focusing on female entrepreneurs in Denpasar, Indonesia. The research findings indicate the low participation of female entrepreneurs in the MSME sector, attributed to limited access to E-commerce training and inadequate supporting infrastructure. Policy implications include efforts to enhance the participation of female entrepreneurs through better training and infrastructure. Statistical analysis utilized validity testing, reliability testing, normality testing, simple regression analysis, ANOVA testing, t-testing, and descriptive hypothesis testing. The research results show a significant relationship between the influence of E-commerce technology and the operational efficiency of MSMEs, with the E-commerce Influence variable contributing 50.4% to the variation in the MSME variable. These findings support the hypothesis that E-commerce Influence has a positive impact on MSMEs. Thus, this study provides an in-depth understanding of E-commerce implementation strategies in enhancing the operational efficiency of MSMEs in the digital economy era.

WEB BASED HUMAN RESOURCE MANAGEMENT INFORMATION SYSTEM USING FACE RECOGNITION AND GEOLOCATION (CASE STUDY OF PT META BUMI SYSTEMA)

2024-10-01T16:27:01+00:00

Human Resources (HR) are all permanent and non-permanent employees in an organization who have intellectual, emotional, and spiritual abilities that can be utilized to achieve organizational goals. HR plays a very important role in the company, so if it is not managed properly, it can disrupt the running of the company. The HR department is a department that specifically manages HR in the company. The problem faced by the HR department at PT Meta Bumi Systema is that it still uses manual methods using paper documents and excel using several HR management methods. Such as the attendance process which still uses two methods, namely fingerprint devices and attendance forms, then leave/permit/sick applications which still use paper forms, and the last is payroll which is still done manually by summarizing attendance and leave/permit/sick applications processed in excel. This manual system is incapable of handling large amounts of data and the need to retrieve information quickly and accurately. This study aims to simplify the process of attendance, leave/permit/sick applications, and payroll, as well as improve the accuracy and efficiency of HR data management. This study is expected to make employees and the HR department easily carry out HR administration functions that are integrated into one digital platform. Attendance is made using face recognition and geolocation then for leave/permit/sick submission is made online. This research uses the waterfall software development method which includes analysis, design, implementation, testing, and maintenance. The information system is built using Nuxt Js, Laravel, and Postgre Sql as a database. The test results using blackbox testing show that the system is running according to its functionality with an achievement of 100% while the results of the User Acceptance Test (UAT) with a Likert scale get a value of 77.56% which is included in the good category in increasing the efficiency and effectiveness of HR data management, can make it easier for employees to take attendance, apply for leave/permit/sick, and can help the HR department recap data and payroll

PERANCANGAN DASHBOARD BUSINESS INTELLIGENCE MENGGUNAKAN GOOGLE LOOKER PADA BISNIS APOTIK DENGAN METODE WATERFALL

2024-10-04T15:56:30+00:00

In the digital era, data-driven decision-making is crucial for businesses, including pharmacies. Designing a Business Intelligence (BI) dashboard using Google Looker can effectively help manage and analyze data. This study aims to design a BI dashboard for a pharmacy business using the Waterfall method, involving requirement analysis, system design, implementation, testing, and maintenance. The result of this study is a BI dashboard that provides relevant and real-time information, thus supporting better decision-making. The conclusion of this study shows that the Waterfall method is effective in designing a well-structured BI system that meets the needs of the pharmacy business.

information Systems SISTEM INFORMASI PELAYANAN PENGADUAN SATUAN POLISI PAMONG PRAJA BERBASIS WEBSITE

2024-10-04T15:59:56+00:00

The Lebak Regency Civil Service Police Unit is one of the important instruments owned by the Lebak Regency Regional Government. Satpol PP has the task of taking action against violations of Regional Regulations reported by the Lebak Regency community. Taking action against violations of Regional Regulations is very important in realizing community welfare and also maintaining the tranquility of the Lebak Regency environment. Currently, the complaint reporting procedure is still manual, which requires a lot of time for the community to make complaints. In addition, Satpol PP also needs to know firsthand the conditions in the field. Therefore, this study aims to analyze and design a website-based complaint information system needed by Satpol PP. Designing and designing a complaint service information system using the Waterfall Method as a system development method and Unified Application Development (UML) as a modeling tool. From this study, a web application for a complaint service information system was produced.

APLIKASI MONITORING PRAKTIK KERJA LAPANGAN BERBASIS WEB (STUDI KASUS SMK KESEHATAN BHAKTI KENCANA CIMAHI)

2024-10-04T16:01:41+00:00

This web-based PKL monitoring application was developed to facilitate the supervision and management of Praktik Kerja Lapangan (PKL) activities at SMK Kesehatan Bhakti Kencana Cimahi. The application allows students, supervising teachers, and administrators to easily access information related to PKL through smartphones, laptops, or computers. The provided features include attendance management, activity reports, and PKL evaluations in the form of certificates. The research methodology used in this study is the Software Development Life Cycle (SDLC). The development of this application follows the waterfall method, which encompasses stages of analysis, design, coding, testing, and support. Test results indicate that the application functions as expected and has successfully increased the efficiency of the PKL process. The application also received positive feedback from users based on User Accepted Testing (UAT) and Black Box testing. For future development, it is recommended to update the interface to be more engaging and to develop a mobile version of the application.

PENERAPAN ALGORITMA APRIORI UNTUK MENGETAHUI POLA PENJUALAN OLEH-OLEH KHAS GARUT (STUDI KASUS TOKO OLEH-OLEH IBU NIA)

2024-10-04T16:04:34+00:00

Toko Oleh-oleh Ibu Nia menjadi permasalahan terkait manajemen stok produknya, dimana penumpukan/barang tidak terjual dan kekurangan barang kerap kali terjadi. Penelitian ini bertujuan untuk menerapkan algoritma Apriori untuk menganalisis pola penjualan produk toko serta preferensi pelanggan terhadap produk tersebut untuk memberikan asosiasi antar produk guna membantu optimalisasi manajemen stok dan strategi penjualan. Penelitian ini menggunakan dataset dari transaksi toko pada bulan Januari 2023 hingga bulan Februari 2024 dengan jumlah transaksi 4166. Metodologi penelitian yang digunakan meliputi delapan tahapan, yaitu identifikasi masalah, penentuan tujuan dan ruang lingkup, mencari literatur, pengumpulan data, observasi, wawancara, preparasi data, dan analisis menggunakan RapidMiner, algoritma Apriori dengan perhitungan nilai support dan confidence guna menemukan aturan asosiasi. Hasil analisis menunjukkan bahwa produk dengan nilai support tertinggi adalah Dodol Garut dan Keripik Kentang sebesar 41,6%, dengan 74,9 transaksi yang mencakup pembelian keduanya secara bersamaan.pola ini menunjukkan bahwa kedua produk ini sering dibeli bersamaan,mengindikasikan permintaan yang tinggi.Penelitian ini menyimpulkan bahwa penggunaan algoritma Apriori efektif dalam mengidentifikasi pola penjualan yang signifikan, yang dapat diimplementasikan untuk meningkatkan efisiensi stok dan strategi pemasaran. Rekomendasi praktis termasuk penambahan stok produk dengan permintaan tinggi dan penerapan strategi bundling untuk produk kurang populer guna meningkatkan daya tarik dan kepuasan pelanggan. Dengan demikian, hasil ini diharapkan dapat mendukung peningkatan penjualan dan pengelolaan stok di Toko Oleh-oleh Ibu Nia, serta berkontribusi pada pengembangan oleh-oleh khas Garut.

PERANCANGAN ULANG UI/UX WEBSITE STARTUP PILIH JURUSAN MENGGUNAKAN METODE DESIGN THINKING

2024-10-04T06:20:09+00:00

The tertiary level focuses on one field of study program which will later prepare students to enter the world of work. But there are still many of them who still feel confused in choosing their major. From that problem, a startup emerged named Pilih Jurusan which aims to help young prospective students to deal with their confusion and decision when choosing a major. Despite providing an excellent and optimal service, the website design of Pilih Jurusan were said to be outdated, inconsistent and less user-friendly in appearance, resulting in problems with user’s comfort and experience. This research uses the design thinking method and Google Material Design 3.0 guidelines to redesign the interface and user experience of the Pilih Jurusan website to be consistent and user-friendly. The design thinking method is used to create a design rework that can directly identify the user's problems and needs. This research’s testing was carried out using the Single Ease Question (SEQ) and System Usability Scale (SUS) methods. Where the test results from these two methods show that the level of ‘ease of use’ of the website is at a score of 6 (easy) to 7 (very easy) and has a usability score level of 88 with an acceptable excellent category, which means it can be very well received by users. The research results show that the use of design thinking and Google Material Design 3.0 can help redesign UI/UX to suit user needs.

METODE KLASIFIKASI ALGORITMA CONVOLUTIONAL NEURAL NETWORK (CNN) PADA PENYAKIT DAUN TEH

2024-10-04T06:32:18+00:00

Tea is one of the agricultural commodities that plays an important role in the Indonesian economy. The tea industry generates revenue, provides jobs, and drives local growth. Tea leaf disease is one of the factors that has caused tea production in Indonesia to decline. Algae leaf disease is a common disease in tea leaves, as well as anthracnosis and bird eye. Exposure to pathogens in the tea leaf can cause significant declines in global yields. Detecting disease on tea leaves at an early stage is essential to reduce the loss of production yields. Detection methods using visual observation may be less effective and do not help in controlling the disease well. Deep learning has successfully collected and analyzed large amounts of data, enabling the diagnosis of tea plant diseases quickly and accurately. The research aims to improve the accuracy of tea leaf disease classification by optimizing the used Convolutional Neural Network (CNN) algorithms as well as improving feature management. The research methods carried out included data collection, image data pre-processing, CNN model design, accuracy classification, testing and results. The results showed that the CNN model managed to classify tea leaf disease with satisfactory levels of accuracy, precision, and recall. The study successfully indicated that the use of the CNN algorithm in the classification of tea leaf diseases, namely Algal Leaf, Antracnose, and Bird Eye Spot, had significant accuracy with an achievement of 79.36%.

RANCANG PEMBARUAN FRONT-END COMPANY PROFILE BERBASIS WEBSITE UNTUK PT. GERBANG SINERGI PRIMA

2024-10-04T06:31:36+00:00

PT. Gerbang Sinergi Prima is a part of the Pension Fund company PT. PLN (Persero), which focuses on the Information and Communication Technology (ICT) sector. Every company nowadays must have a company profile website, which serves not only as an investment but also a crucial necessity in this digital era. Therefore, a company profile website was built to serve as an information hub, branding platform, and online marketing tool. However, the current website design has been in use for quite some time, necessitating a redesign or update to provide visitors with a fresh look and new features aimed at enhancing aesthetics and improving website functionality, making it user-friendly. Extreme Programming (XP) falls under the category of popular agile methodologies, often applied in small-scale software development projects. This section on results and discussion is designed to present the outcomes of the research conducted. It is crafted in accordance with the Extreme Programming (XP) methodology, which includes planning, design, coding, and testing activities. From the results of this research, it can be concluded that the "Redesign of Front-End Company Profile Website" has been successfully developed to assist the work of PT. Gerbang Sinergi Prima in updating the company profile website in terms of its appearance. This research utilized the Extreme Programming methodology, chosen for its ability to accelerate and improve the efficiency of the system development process.

OPTIMIZATION OF INVENTORY MANAGEMENT USING THE FUZZY C-MEANS ALGORITHM

2024-10-04T06:39:02+00:00

ABSTRACTS

To analyze inventory data, this study utilizes the Fuzzy C-Means clustering algorithm. The Fuzzy C-Means clustering results in ten groups, each labeled from Cluster 0 to Cluster 9, with varying numbers of items in each cluster. The largest clusters are Cluster 3 with 36 items and Cluster 4 with 34 items. Further examination of each cluster reveals consistent patterns and characteristics, aiding in understanding the differences among items within each group. According to the grid parameter evaluation, the number of clusters (K=10) provides the best results with a low Davies Bouldin index, indicating good clustering quality. The scatter plot shows how items are distributed across each cluster. Clusters 3, 6, and 7 stand out as the groups with the most items. Ten clusters with patterns that may not be immediately apparent are created using the Fuzzy C-Means method. Clusters 3, 6, and 7 continue to be the groups with a significant number of items. An in-depth analysis of each cluster provides specific insights into stock behavior and potential business opportunities. To achieve Objective 2, the clustering analysis results help Nata Frozen Food optimize their business strategies. Marketing strategies can be adjusted, inventory management can be improved, and product portfolio development can be enhanced. The evaluation results indicate that the appropriate number of clusters can improve operational efficiency and supply chain effectiveness by balancing model complexity and clustering quality.

ANALISIS SENTIMEN PADA MEDIA SOSIAL TWITTER TERHADAP KEPOLISIAN MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE

2024-10-04T06:41:58+00:00

Sentiment analysis is one of the sciences in Text Mining which focuses on the classification of text documents that contain opinions or thoughts from the public. This research aims to gain an understanding of the public's views on the police through tweets posted on the social media Twitter. This research uses the Support Vector Machine algorithm. The text document used uses two labels, namely: positive and negative. In this research, 303 data were used and testing was carried out using the Confusion Matrix. The results of this study show that negative review polarization has a higher dominance compared to positive polarization, namely negative reviews are 51.16% while positive reviews are 48.84%. The results of the Confusion Matrix testing that was carried out obtained an accuracy rate of 54.10%, negative precision 56.41%, positive precision 50%, negative recall 66.67% and positive recall 39.29%.

PENERAPAN METODE WEIGHTED PRODUCT DALAM SISTEM PENENTUAN KARYAWAN TERBAIK

2024-10-04T06:52:10+00:00

Employee assessment at UD. Kurnia Department Store is still done manually using Microsoft Excel, which often causes inaccuracy and lack of transparency. This may make it more difficult to choose the finest workers. Therefore, this study applies the Weighted Product (WP) method to improve objectivity and efficiency in employee assessment. The WP method normalizes the weight of each criterion such as attendance, cooperation, work quantity, and responsibility to determine employee rankings. The implementation of this system results in more accurate, faster, and consistent assessments. This system is designed to assist management in making better decisions regarding the selection of the best employees each year.

PENERAPAN ALGORITMA K-MEANS DALAM KLASIFIKASI JUMLAH PENDUDUK JAKARTA SELATAN

2024-10-04T07:00:45+00:00

This research is a case study conducted at the Directorate General of Population and Civil Registration with the aim of grouping the population based on sub-district and gender, and the method used is the K-Means algorithm. The evaluation results using the silhouette coefficient method show that K-Means is the best algorithm because it obtained a value of 0.7774399276167493. In this study, there were 39 types of population density analyzed, of which 6 were classified as low (cluster 0), 20 were in the middle group (cluster 1), and 8 were middle group (cluster 2), and 6 were the highest (cluster 3). This research makes an important contribution in determining the amount of increase or decrease in population density each year.