TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi

Rancang Bangun Aplikasi Penilaian Pembelajaran dalam Kelas PRODISTIK di MAN 1 Pasuruan Berbasis Android

M. Ilham Sya’bana — 2025-12-06

The learning assessment process in the PRODISTIK MAN 1 Pasuruan class is carried out manually; therefore, it is less efficient and prone to errors. The purpose of this study is to develop an Android-based assessment application to make it easier for teachers and provide direct access to student scores. The method used is Waterfall, through the stages of needs analysis, design, implementation, and testing. Data were obtained through interviews and literature reviews. The application is equipped with login features, value input, and value access. Testing was carried out using black box and usability testing with 20 respondents. The results showed that all application functions run as expected with user satisfaction of 93.37%. This research is expected to contribute to the process of effective learning assessment.

Penerapan Metode Importance Performance Analysis (IPA) terhadap Tingkat Kepuasan Nasabah pada PT. Bank Central Asia Tbk Berbasis Android

M. Akbar — 2025-12-06

PT. Bank Central Asia Tbk KCP Pulo Brayan is one of the branches that has many customers carrying out transactions according to customer needs. One of the missions of PT Bank Central Asia Tbk KCP Pulo Brayan is to understand customer needs and provide support services to achieve optimal levels of customer satisfaction. The assessment of the level of customer satisfaction of each branch is carried out by the head office by conducting random telephone calls to customers who transact at KCP Pulo Brayan. The weakness of the assessment system is the lack of transparency of the results of customer satisfaction assessments conducted by the head office to the KCP Pulo Brayan office. KCP Pulo Brayan is still not optimal in service evaluation so that the evaluation results from customer assessments are still considered very lacking by the head office. To overcome this problem, PT. Bank Central Asia Tbk KCP Pulo Brayan requires a system to determine the level of customer satisfaction. The system developed uses a questionnaire filled out by customers with Android devices. The result of the customer satisfaction level system is an application system designed based on Android for the customer service system at KCP Pulo Brayan with the application of the Importance Performance Analysis (IPA) method. The application of this method aims to identify service attributes that need primary attention, as well as being the basis for providing recommendations to improve overall service quality.

Penerapan Metode Service Quality untuk Mengetahui Kualitas Pelayanan Kantor Desa Sambirejo Timur Berbasis Web

Ahmad Syauqi — 2025-12-06

Sambirejo Timur Village was established on June 15, 1999. Services at the Sambirejo Timur Village Office begin with the reception of visitors who come for various administrative purposes. The purpose of this research is to ensure that all village administrative activities are neatly recorded, as well as to facilitate monitoring and evaluation of service quality. This procedure is expected to create a transparent and accountable environment in every service to the people of Sambirejo Timur Village. The research problem that occurs is that there are many suggestions and criticisms from the community about the services provided at the Village Office, but the delivery is not given directly through the criticism and suggestion box but through expressions from the surrounding community. In this study, the application of the service quality method is used to determine the quality of service at the Sambirejo Timur Village Office. The results of this study will be the application of the service quality method to determine the quality of service at the Sambirejo Timur Village Office, which is made in the form of a web application. The contribution of this research is to use the application of the digitalization/web-based service quality method at one of the agencies, namely the Sambirejo Timur Village Office.

Sistem Pakar Diagnosa Penyakit Obsessive Compulsive Disorder Hoarding Menggunakan Metode Certainty Factor Berbasis PHP

Rahmaini Hifzah Ruslan — 2025-12-06

Obsessive-Compulsive Disorder, or OCD, is a mental health disorder characterized by obsessive thoughts and compulsive actions that are difficult to control. Providing appropriate treatment is crucial to prevent further impact on the quality of life of OCD sufferers. Unfortunately, initial diagnosis is often hampered by time constraints and difficult access to doctors or specialists. Therefore, researchers recommend a PHP-based expert system using the Certainty Factor method. This system mimics the way doctors think when diagnosing OCD, based on symptoms selected by the user. The Certainty Factor is used to calculate the certainty of the diagnosis based on the entered symptoms. The analysis shows that this system is capable of diagnosing with high accuracy, even reaching 100% in some OCD cases. These results demonstrate that expert systems can be a powerful tool for early detection of OCD, allowing for faster and more targeted treatment and care.

Perancangan Aplikasi E-Rekrutmen dan Penempatan Karyawan Menggunakan Metode PSI pada PT. Mutiara Inti Persada

Tedi Utomo — 2025-12-06

PT. Mutiara Inti Persada is a company operating in the field of labor distribution services with the vision of providing and managing human resources professionally. However, employee recruitment and placement processes that are still carried out manually are often inefficient, lack objectivity, and face challenges in matching applicant profiles with the needs of partner companies. To overcome this problem, this research aims to design a web-based e-recruitment and employee placement application using the Preference Selection Index (PSI) method. The PSI method is applied to provide an objective assessment of applicants based on predetermined criteria, such as work experience, education, and skills. The system developed is also equipped with an employee placement feature designed to optimally match applicant profiles with the needs of partner companies. This research uses data collection methods through observation, interviews, and documentation to understand company needs, as well as a system development method using the Waterfall model. The research results show that the designed application is able to increase the efficiency of the recruitment process, reduce bias in applicant assessment, and ensure more appropriate employee placement.

Analisis Penentuan Prioritas Jenis Penyakit Pada Praktik Terapi Babe dengan Metode Weighted Product

Inayah Sabila — 2025-12-06

The increasing number of patients with various diseases at the Babe Therapy Practice requires an effective method to determine which diseases should be prioritized in handling. This study aims to analyze the prioritization of disease types using the Weighted Product (WP) method as a decision support approach. Data were obtained through interviews with the practitioner (Babe) and observations of patient records covering seven disease types: uric acid, rheumatism, hypertension, pinched nerves, stomach acid, vertigo, and GERD. The criteria considered include visit frequency, severity level, therapy duration, and therapy cost. Each criterion was given a specific weight based on its level of importance. The calculation results using the WP method show that uric acid (gout) ranks highest, indicating it should receive priority treatment due to its potential to cause kidney complications. This study contributes to the application of decision support systems in therapy practices to improve service effectiveness and patient management.

Penerapan Augmented Reality pada WebGIS Zona Penangkapan Ikan Tongkol di Pulau Panjang

Vera Anggraini — 2025-12-06

Mackerel tuna (Euthynnus affinis) is a commodity with a high production rate in Banten Bay. Panjang Island, which is geographically located in the waters of Banten Bay, is a potential area for supporting sustainable tuna production. Market demand for this fish continues to grow, yet the lack of precise fishing zone data hampers resource optimization. The WebGIS system was developed to provide potential information on fishing zones for tuna around Panjang Island. Oceanographic data such as sea surface temperature and chlorophyll-a concentration were utilized to predict high-probability areas. This system features GPS-based augmented reality to guide fishers in real time to their targeted locations. Interactive and accurate information presentation facilitates decision-making for fishers. The implementation of this technology enhances fisher productivity while promoting sustainable fishery management. The potential of WebGIS technology offers significant opportunities for advancing Indonesia’s modern fishery sector, particularly for the coastal communities of Panjang Island.

Rancang Bangun Alat Pemberi Pakan Hewan Peliharaan Otomatis Berbasis IoT (Internet of Things)

Farhan Ramadhan — 2025-12-06

An automatic animal feeder is a tool used by cat owners to help ease their daily activities. When it comes to caring for animals at home, the most important thing is regular feeding. Regular feeding can make pets healthier and maintain their appetite. This is done with the aim of increasing pet owners' awareness of the food they feed their pets. Therefore, this automatic feeder was designed based on the Internet of Things (IoT). It consists of several components that are designed and connected to electricity and the internet. NodeMCU ESP8266 and Arduino IDE are the main components in the design of this device, allowing it to be operated using a smartphone. On the smartphone, users must download Blynk as a remote control for the automatic feeder. Through the Blynk app, users can automatically schedule feeding times for their pets. This research aims to assist pet owners who often leave their pets at home, ensuring their feeding times are maintained.

Penerapan Metode One-Time Pad Chiper untuk Mengamankan Data Karyawan pada PT. Transima Citra Indo Consultant

Salsa Carissa Sinaga — 2025-12-06

PT. Transima Citra Indo Consultant, a company engaged in the field of tax consulting, requires a reliable data security system to maintain the confidentiality of sensitive information. One of the cryptographic methods that can be used is the One-Time Pad (OTP) method. One-Time Pad is an encryption algorithm with a very high level of security because it uses a unique key throughout the original message, thus ensuring that the encrypted message cannot be cracked as long as the key remains confidential. Therefore, this study will discuss the application of One-Time Pad in protecting employee data at PT. Transima Citra Indo Consultant as an effort to improve company data security. The results of this study are expected to provide significant benefits to PT. Transima Citra Indo Consultant in securing employee data, and also ensuring that only authorized parties can access it.

Sistem Pendukung Keputusan dalam Pemilihan Kulit Sintetis Layak Ekspor pada PT. Yakita Mulia dengan Metode SAW Berbasis Web

Muhammad Raihan Atha — 2025-12-06

PT. Yakita Mulia is a company engaged in the production of synthetic leather with a domestic and export market orientation. In the process of determining the quality of synthetic leather suitable for export, the company faces problems at the decision-making stage which is still done manually, thus potentially causing delays, subjectivity, and inaccuracy in the assessment results. Therefore, a decision support system is needed that is able to assist the evaluation process more quickly, accurately, and objectively. This study aims to design and build a web-based decision support system by applying the Simple Additive Weighting (SAW) method. The SAW method was chosen because it has a simple, structured calculation process and is able to provide objective assessment results for each evaluated alternative and can rank alternatives based on predetermined criteria such as material durability, color, texture, elasticity and conformity to export standards. This system allows users to input assessment data, then the calculation results are displayed in the form of a ranking so that it can facilitate the company in determining synthetic leather products that are suitable for export. The implementation results show that this web-based decision support system is able to process data quickly and produce more objective recommendations than the manual process. With this system, the process of selecting synthetic leather suitable for export at PT. Yakita Mulia becomes more efficient, accurate, and supports increasing the company's competitiveness in meeting international market demands.

Penentuan Tingkat Kerusakan Mesin Mobil pada Bengkel Afuk Service Menggunakan Metode Weighted Product

M. Arif Fauzan — 2025-12-06

Determining the priority level of car engine damage is an essential aspect in improving workshop service efficiency. AFUK Service Workshop often encounters difficulties in deciding which type of engine damage should be repaired first, as each damage type has different frequencies, severity levels, repair durations, and costs. This study aims to determine the priority level of car engine damage using the Weighted Product (WP) method. The four criteria used include damage frequency, severity level, repair duration, and repair cost, with respective weights of 0.5, 0.2, 0.2, and 0.1. The research data were obtained through direct interviews with mechanics at the AFUK Service Workshop. Based on the analysis using the WP method, the results produced an ordered priority of engine damage types that represent the most dominant issues to be addressed first. The implementation of the Weighted Product method helps the workshop determine repair priorities objectively and efficiently, thereby supporting better decision-making and improving service quality.

Perancangan Aplikasi Pemesanan Jasa Kebersihan Menggunakan Algoritma Apriori Pada PT. Woshi Woshi Berbasis Android

Meliyus Gulo — 2025-12-06

PT. Woshi Woshi is a growing cleaning services company. Several issues frequently arise, including the manual ordering of cleaning services, often done offline or directly with the admin. The company lacks a system capable of analyzing customer ordering patterns, resulting in multiple product orders being placed simultaneously. To address these issues, this study developed an Android-based cleaning service ordering application using the Apriori Algorithm. The algorithm was implemented to simplify Android-based cleaning service ordering and generate more efficient cleaning service order reporting. The resulting cleaning service ordering system is capable of analyzing cleaning service ordering patterns using the Android-based Apriori Algorithm. The resulting ordering patterns are intended to recommend products to customers, provide discount strategies, and demonstrate the company's ability to manage transaction data using the Apriori Algorithm for easier and more accurate calculations.

Metode Service Quality untuk Mengetahui Tingkat Kepuasan Pelanggan di Apotek Wong Kito

Wiwik Malina Nst — 2025-12-06

This study aims to determine the level of customer satisfaction at Wong Kito Pharmacy using the Service Quality (Servqual) method. The Servqual method is employed to measure the gap between customer expectations and perceptions of the services provided by the pharmacy based on five main dimensions: tangibles, reliability, responsiveness, assurance, and empathy. This research applies a quantitative approach using a survey method. Data were collected through questionnaires distributed to customers of Wong Kito Pharmacy. The results show that several service dimensions have negative gap values, indicating that the services received by customers are still below their expectations. The dimension with the largest gap is responsiveness, while the best-performing dimension is assurance. Overall, the level of customer satisfaction with the services at Wong Kito Pharmacy is categorized as fairly satisfied; however, improvements are still needed, particularly in the speed and responsiveness of employees in serving customers. These findings are expected to provide valuable input for the management of Wong Kito Pharmacy in improving service quality to meet customer expectations.

Rancang Bangun Aplikasi Penilaian Pelayanan Desa di Kantor Lurah Sei Agul Menggunakan Metode Service Quality

Vina Aulia Silalahi — 2025-12-06

Public services at the village office play a crucial role in creating an efficient, transparent government focused on public satisfaction. However, many residents are still dissatisfied with the services provided, both in terms of speed, accuracy, and the attitude of officers. Therefore, a system is needed that not only makes it easier for the public to request services but also allows for objective assessment of service quality. This study aims to design and build a mobile-based application that facilitates service requests and service assessments by the public. In the assessment, the Service Quality (ServQual) method is used, which measures the gap between public expectations and perceptions across five dimensions: tangibles, reliability, responsiveness, assurance, and empathy. The result of this study is an Android-based application for accessing village services and providing input to the village office in continuously improving service quality.

Perbandingan Kinerja Naïve Bayes, Support Vector Machine, dan K-Nearest Neighbor dalam Analisis Sentimen Mobile Legends

Hikmawan Alvin Zikirlah — 2025-12-06

The rapid advancement of information and communication technology has significantly increased the popularity of online games in Indonesia, one of which is Mobile Legends: Bang Bang (MLBB), with millions of active users. The abundance of user reviews on digital platforms provides valuable data for analysis using text mining and natural language processing (NLP) approaches. Sentiment analysis is applied to classify user opinions into positive, negative, and neutral categories, offering insights into player satisfaction and perceptions of game quality. This study compares the performance of three classification algorithms, Naïve Bayes (NB), Support Vector Machine (SVM), and K-Nearest Neighbor (KNN), in analyzing sentiment from Mobile Legends user reviews on the Google Play Store. A total of 5,000 reviews were collected using the web scraping technique and processed through the Knowledge Discovery in Databases (KDD) framework, which includes cleaning, case folding, tokenization, normalization, and stopword removal. Sentiment labeling was performed using a lexicon-based approach with the InSet sentiment lexicon. The dataset was divided into training and testing sets with an 80:20 ratio and evaluated using accuracy, precision, recall, and F1-score metrics. The results indicate that the SVM algorithm achieved the highest accuracy of 88.1%, followed by KNN at 65.1% and NB at 62.6%. Thus, SVM is recommended as the most effective model for sentiment analysis of Mobile Legends user reviews.

Pengembangan Aplikasi Penjualan Kopi dengan Metode FIFO pada CV. Mandiri Kopi Berbasis Android

Dwindah Ramadhania — 2025-12-06

CV. Mandiri Kopi is a coffee company with a variety of product variants. The company faces a challenge in accurately managing its inventory, particularly ensuring that incoming and outgoing products comply with their expiration dates and arrival dates. This aspect can potentially lead to losses if older products are not promptly sold. To address this issue, this study aims to develop an Android-based coffee sales application that implements the FIFO method in inventory management. The application's main features include recording sales transactions, managing inventory using the FIFO method, recording sales reports, and notifying users of products approaching expiration. Test results indicate that the application can help the company manage product inventory more efficiently, reduce the risk of stockpiling, and make it easier for admins to monitor sales reports. Thus, the Android-based coffee sales application using the FIFO method can improve the effectiveness and accuracy of inventory management at CV. Mandiri Kopi.

Penerapan Big Data Analyst terhadap Pengiriman Barang Cacat Menggunakan Metode K-Means

Ardhana Febriansyah — 2025-12-06

PT ID Express, a delivery service company, faces the challenge of high levels of damage to goods during the shipping process. This damage ranges from minor scratches or dents to severe damage such as breakage or destruction, which directly impacts customer satisfaction and the company's reputation. To address this issue, a data-driven approach capable of comprehensively identifying patterns and causal factors for damage is required. This study aims to analyze the types of damage to goods based on shipping data using the K-Means Clustering method. This method is used to group damaged goods data into several clusters based on the level of similarity in their characteristics. The results show that the damage data can be grouped into two main clusters: minor damage and major damage, each consisting of five dominant types of damage. Through this clustering, companies can gain a better understanding of frequently occurring damage patterns and can design more effective preventive measures. This research is expected to serve as a reference in the application of big data analysis in the logistics sector to improve service quality and reduce the risk of damage to goods during the distribution process.

Analisis Kebutuhan pada Perancangan Antarmuka Pengguna Aplikasi Koperasi Menggunakan Design Thinking

Fina Nur'aeni — 2025-12-06

The development of information technology encourages cooperatives to adapt to digital systems to improve efficiency, transparency, and accuracy in managing membership and financial data. This study aims to analyze user needs as the basis for designing a user interface for a cooperative membership and financial management application using the Design Thinking method. This method consists of five stages: empathize, define, ideate, prototype, and test. The study focused on needs analysis with the initial stages: empathize, define, and ideate. The empathize stage involved interviews with cooperative administrators and members, followed by identification through the define stage. The analysis results indicated that users require an efficient, secure, and transparent digital system with key features such as member registration, online payments, bill notifications, and automated financial reports. The ideate stage resulted in a design idea that comprehensively describes user needs. This allows for a design that adapts to the analysis results. Thus, the Design Thinking approach has proven effective in understanding user problems and needs and provides a strong foundation for designing a cooperative application interface that is user-friendly and appropriate to the organization's operational context.

Perancangan Sistem Informasi Hasil Produksi Sawit pada PT. Torganda Berbasis Web

Cecilia Margareta Butarbutar — 2025-12-06

The palm oil industry is one of the strategic sectors in the Indonesian economy, but the management of its production data still faces several obstacles, especially in recording and reporting processes that are still carried out manually. This study aims to design and develop a web-based information system for palm oil production at PT. Torganda to improve efficiency, accuracy, and data processing speed. The research methods used include observation, documentation, and system analysis. The system was designed using Data Flow Diagrams (DFD), Entity Relationship Diagrams (ERD), and a structured database design. The results indicate that the system can automate harvest data processing, accelerate the creation of daily, monthly, and annual reports, and provide real-time information access. Thus, the system has the potential to improve operational performance and support timely decision-making at PT. Torganda.

Penerapan Sistem Pakar pada Diagnosa Penyakit Gerd (Lambung) Menggunakan Metode Case Based Reasoning

Mukhfika Alsyira — 2025-12-06

Gastroesophageal Reflux Disease (GERD) is a common digestive disorder, which can cause symptoms such as chest pain, acid regurgitation, and sleep disturbances. In an effort to improve the diagnosis of GERD disease efficiently, this study proposes the development of an expert system using the Case-Based Reasoning (CBR) method. The system aims to diagnose GERD based on previous cases that have been recorded on a case basis. The main steps in system development include data acquisition, knowledge representation, case similarity assessment, and problem solving. This research combines CBR approach with data mining techniques to obtain a more accurate assessment. System testing was performed using existing patient datasets, and the results showed that the system can provide a diagnosis of GERD with a high degree of accuracy. This research offers a significant contribution to the medical field in improving the process of diagnosis and management of GERD disease efficiently and effectively.

Penerapan Algoritma Apriori terhadap Penjualan Obat pada Apotek Cahaya Paris Berbasis Web

Habib Rahmanda — 2025-12-06

Cahaya Paris Pharmacy sells both prescription and non-prescription drugs. A common problem at Cahaya Paris Pharmacy is the mismatch between stock and demand, causing some drugs to rarely leave shelves until their expiration date. The drug sales data management system is not yet computerized, resulting in inefficient sales reports and errors. The pharmacy has not yet implemented the Apriori Algorithm method to analyze patterns in existing transaction data. To address these issues, Cahaya Paris Pharmacy requires a web-based system that implements the Apriori Algorithm method. The resulting drug sales system is capable of analyzing drug sales patterns using the web-based Apriori Algorithm method. The resulting sales patterns aim to recommend drugs to customers, provide discount strategies, and develop the pharmacy's ability to manage transaction data using the Apriori Algorithm method for easier and more accurate calculations.

Rancang Bangun Aplikasi Presensi Siswa Berbasis QR Code pada SMK Swasta Bina Satria Medan

Rendy Editya Nugraha — 2025-12-06

Student attendance is a routine activity in schools that serves to monitor students’ presence and acts as an indicator of discipline. At SMK Swasta Bina Satria Medan, the attendance process is still carried out manually using paper-based attendance lists, which is time-consuming, prone to fraud, and at risk of data loss. To address these issues, a technology-based attendance system that is fast, accurate, and integrated is required. This study aims to design and develop a student attendance application based on QR code technology, which can be used by subject teachers through Android devices. Each student has a personal QR code displayed through a dedicated Android application for students. Teachers scan the QR code using the Android application to automatically record attendance into the database. The system is developed using Java with MySQL as the database. The test results show that the application can perform attendance quickly and accurately, minimize recording errors, and reduce the potential for fraud. Attendance data is stored digitally and can be easily recapped according to the desired period. With this application, the attendance administration process at SMK Swasta Bina Satria Medan becomes more efficient and practical and supports digital transformation in the school environment.

Implementasi Jaringan LAN dan WLAN pada Mikrotik

Haris Tri Saputra — 2025-12-06

In today's digital age, the existence of computer networks has become a crucial necessity for various institutions and organizations. Local Area Networks (LANs) and Wireless Local Area Networks (WLANs) are commonly used network infrastructures that support connectivity and information exchange between devices. MikroTik, as one of the network device providers, offers reliable solutions for managing LAN and WLAN networks. With its reputation as a leading network device provider, MikroTik is attracting attention as a potential choice to meet these needs. Additionally, the successful implementation of LAN and WLAN networks on MikroTik can provide practical guidance for organizations currently considering or planning to upgrade their network infrastructure. The focus of this research is the Computer Network Laboratory at UIN Suska Riau, where the effectiveness and efficiency of MikroTik routers and access points are evaluated in a real-world educational environment. This study begins with an overview of MikroTik technology, emphasizing its role in creating a robust and scalable network infrastructure. Furthermore, this research delves into the specific requirements and challenges faced by the Computer Network Laboratory, providing insights into the need for LAN and WLAN integration for seamless connectivity. With a better understanding of MikroTik's potential, it is hoped that the organization's information technology foundation can be strengthened and competitiveness increased in this digital era.

Pengembangan Sistem Rekomendasi Wisata Kota Medan Berdasarkan Lokasi dan Preferensi Pengguna Menggunakan Algoritma Hybrid Filtering Berbasis Android dan Web

Alexander Valiant Ghozali — 2025-12-06

Medan, the capital of North Sumatra Province, boasts diverse tourism potential, ranging from culinary, historical, and cultural attractions to natural destinations. Unfortunately, many tourists, both local and international, are still unfamiliar with Medan's diverse destinations. This issue is due to limited information that is structured and tailored to the needs and preferences of each user. The solution to addressing the challenges of tourist attraction recommendations in Medan is to design an Android-based application using the hybrid filtering method. A recommendation system is needed to address the challenge of selecting tourist destinations that align with user preferences and can present more personalized and accurate travel options. By considering the characteristics of tourist attractions in Medan and the needs of tourists, the development of an Android-based recommendation system is the right solution to facilitate the search for tourist destinations.

Penerapan Metode POQ Dalam Penentuan Persediaan Material Proyek pada PT. Swakarya Putra Berbasis Android

Daniel Ginting — 2025-12-07

Material inventory is a crucial factor in the smooth running of construction projects. PT. Swakarya Putra has been facing challenges in managing its inventory, such as delays in stock information, recording errors, and unplanned purchases. The purpose of implementing the POQ method is to control material inventory to minimize inventory costs and ensure timely material availability. The POQ method contributes to determining the optimal order quantity and timing by considering ordering, storage costs, and project material requirements. The system is built on an Android platform so that it can be accessed in real time by relevant parties in the field. The implementation results indicate that the system is able to calculate material ordering schedules accurately, simplify stock monitoring, and reduce the risk of shortages or excess inventory. Thus, the implementation of the Android-based POQ method can improve the efficiency of controlling project material inventory at PT. Swakarya Putra. This method helps minimize the risk of stockouts and excess stock, as well as improve operational efficiency by ordering quantities at specific time intervals.

Rancang Bangun Aplikasi Point of Sale dengan Menggunakan QR Code pada PT. Akari Berbasis Android

Ranji Adi Sura — 2025-12-07

The development of information technology encourages companies to improve the efficiency and effectiveness of business operations, including in the sales transaction process. PT. Akari requires a system that can simplify transaction management and sales recording and minimize errors. This study designs and builds an Android-based Point of Sale (POS) application that utilizes QR Code technology as a product identification medium. This POS application has a main feature in the form of QR code scanning to accelerate the process of product data input, sales data management, stock recording, and automatic report preparation. Test results indicate that all functions in the application can operate properly on Android devices and are able to increase transaction speed and sales recording accuracy. With this application, PT. Akari obtains a more modern and efficient sales system that supports the digitalization of business processes.

Implementasi Bot Whatsapp untuk Layanan Informasi Frontline

Muhammad Sadam Saktia Putra — 2025-12-12

This study implements a WhatsApp bot as an automated information service at STMIK Widya Cipta Dharma to assist frontline staff tasks. The system was developed using Node.js and the WhatsApp Web API (Baileys Library) with a rule-based matching approach that maps user keywords to predefined responses. The Waterfall method was applied through analysis, design, implementation, and Black Box Testing. The results show that the bot correctly answered 85% of queries and improved information service efficiency by up to 70%.

Aplikasi Prediksi Harga Saham Telkom Indonesia Berbasis Streamlit Menggunakan Machine Learning

Juliandra Saputra — 2025-12-12

Fluctuations in the share price of PT Telkom Indonesia (TLKM) are a major obstacle for individual investors, who generally rely on non-numerical analysis. This study attempts to create a simple prediction solution by comparing the effectiveness of three machine learning algorithms, namely linear regression, support vector machine (SVM), and neural network (NN), then applying them to an interactive web application using the Streamlit framework. Historical TLKM stock data was prepared through a feature engineering process before performance testing. According to the comparison results, the Support Vector Machine (SVM) model proved to have the best predictive ability compared to Linear Regression and NN. The superiority of SVM can be seen from the lowest RMSE (Root Mean Squared Error) value and the highest R² (Coefficient of Determination) score, which shows that SVM is better at capturing non-linear patterns and the complexity of the TLKM market. The selected model was then integrated into the Streamlit application, which provides real-time prediction results and comparison visualizations. This research successfully bridges the gap between the accuracy of advanced machine learning models and the real needs of investors by providing an informative and easy-to-use decision-making tool.

Implementasi Sistem Keamanan Data untuk Proyek Konstruksi Menggunakan Metode Algoritma Rivest Cipher 4 (RC4) Berbasis Android

Calvin Mulia Kennedy — 2025-12-12

Data security is a crucial aspect in managing construction projects, especially for large-scale companies such as PT. Swakarya Perfect. Unprotected data exchange may lead to risks of information leakage, which could impact confidentiality, integrity, and project sustainability. This study aims to implement a data security system using the Rivest Cipher 4 (RC4) algorithm on Android devices, enabling efficient encryption and decryption of construction project data. The research method involves system requirements analysis, application design, RC4 algorithm implementation, and testing of both security strength and application performance. The implementation results show that the developed system can effectively secure construction project data, as the encrypted information cannot be accessed without the proper key. Furthermore, the application demonstrates relatively fast execution time during encryption and decryption processes, making it feasible for mobile use. Therefore, this system contributes to enhancing data security in construction projects at PT. Swakarya Perfect through the application of modern cryptographic technology on Android.