Garuda - Garba Rujukan Digital

Sistem Pendukung Keputusan Untuk Mengukur Permintaan Produk Pada e-Commerce dengan Fuzzy Inference System: (Studi Kasus Orebae.com) Fadil Indra Sanjaya; Dadang Heksaputra; Muhammad Fachrie; Sulistyo Dwi Sancoko; Nuzula Afini; Zahra Septa Hati
J I M P - Jurnal Informatika Merdeka Pasuruan Vol 7, No 1 (2022): MARET
Publisher : Fakultas Teknologi Informasi Universitas Merdeka Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37438/jimp.v7i1.404

Measuring product demand is an important process for e-commerce companies to assess product viability in the future production. Measuring product demand can assist e-commerce companies to produce and developing new products based on market potential. Decision maker usually only using their best seller product as indicator to estimate future market trend. But in the fact future market trend will not only based on best seller product, but also there several criteria which is needs attention too. In order to use several criteria to estimate market trend, need some analysis so it will take a long time. With Decision Support System (DSS), decision making will be easier and faster. In this research the DSS takes into consideration the following input variables: Total Sales (TS), Rating (R), Viewed (V), Total Comments (TC) and output Product Demand (PD). Once the Fuzzy Inference System model has been developed, an assessment of the variables is made through testing 1-years data, which allows verifying how the variables behave in the system under study, and their impact on the output variables. Through the application of Fuzzy Inference System in DSS regarding the modeling several criteria that impact product demand, it is possible to increased efficiency and maximizing profitKeyword— DSS, Fuzzy Inference System, Tsukamoto, e-Commerce, Product Demand

Recommendations for Selection of Skincare Products Using the Promethee Method Muhammad Aufa Zaydan Azfar; Sulistyo Dwi Sancoko
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 7 No. 2 (2024): Jurnal Teknologi dan Open Source, December 2024
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v7i2.3816

This research aims to implement the Promethee method (Preference Ranking Organization Method for Enrichment Evaluation) in recommending appropriate skincare products based on facial skin type. With so many skincare products on the market, consumers may have difficulty choosing the right product. The Promethee method helps make multi-criteria decisions by considering various relevant factors such as skin type, price, user ratings, product quality, and price suitability based on the preferences of people who have used skincare products before as a reference in recommending skincare products. Recommendations are made based on data from the preferences of students who have used skincare products and provide an assessment of the products they have used. Researchers used the Promethee method as research to see how effective its use is in providing skincare product recommendations. The data used as a basis for manual calculations uses 10 data points for normal skin types. With the highest net flow value for normal skin types of 3.44444444 for Wardah Lightning and Ponds Men products. The highest net flow value for combination skin type is 24.250000, net flow for oily skin type is 14.222222, net flow for sensitive skin type is 14.722222, and net flow for dry skin type is 8.166667. The research results show that the Promethee method can provide appropriate recommendations regarding the selection of skincare products based on facial skin type.

Perancangan dan Implementasi FitSphere sebagai Aplikasi Android untuk Manajemen Keanggotaan Gym di Chain Gym Aria Anggit Purnawan; Sulistyo Dwi Sancoko
J-INTECH ( Journal of Information and Technology) Vol 13 No 02 (2025): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v13i02.2132

The advancement of information technology in the digital era has driven transformation across various sectors, including the fitness industry. Chain Gym, a fitness center located in Klaten, faces challenges in managing data and membership services, which are still handled manually and separately. The lack of an integrated system has led to inefficiencies in processes such as class registration, fitness progress monitoring, and member information management, thereby affecting service quality and member satisfaction.This study designs and develops a mobile-based Android application named FitSphere, built using the Kotlin programming language with Firebase as the backend, to serve as an integrated platform supporting membership management at Chain Gym. The development process adopts the Rapid Application Development (RAD) methodology, which includes several stages: requirements planning through observation and interviews, system design using UML models and table relationship diagrams, construction involving coding and system integration, and the cutover phase that encompasses testing and deployment of the application.The application is equipped with key features such as membership registration, gym-related news, membership subscription, consultation, workout history, class registration, and Body Mass Index (BMI) calculation. The use of the RAD approach enables a faster and more adaptive development process that accommodates user needs and feedback.The results show that the features in FitSphere function as intended and have the potential to improve operational efficiency, making it easier for members to access services. Black Box Testing conducted on both member and admin features showed a 100% success rate, confirming that all functionalities operate correctly. The application also provides strategic benefits for management by offering deeper insights into user needs. Overall, the implementation of this application delivers an effective digital solution that enhances Chain Gym’s competitiveness in the rapidly growing fitness industry.

Penerapan Sistem Informasi Berbasis Web dan Mobile untuk Manajemen Pasien Diabetes di Klinik Bandar Lor Dionisius Lexy Putra Winanta; Sulistyo Dwi Sancoko
J-INTECH ( Journal of Information and Technology) Vol 13 No 02 (2025): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v13i02.2136

Diabetes mellitus is a chronic disease that requires continuous monitoring and management. Klinik Pratama Bandar Lor Kediri faces challenges in managing information for diabetic patients, including recording medical history, monitoring blood glucose, facilitating patient–doctor communication, and providing continuous education. Limited access to complete and up-to-date patient data hinders service delivery and complicates clinical decision-making, while patients often struggle to record examination results, adhere to treatment schedules, and obtain optimal consultations. To address these challenges, this study developed DiaCare, a web and mobile based information system built using the prototyping method with Flutter and Firebase. The system integrates key features such as health record management, medication reminders, online consultations, activity tracking with calorie estimation, digital delivery of laboratory results, dietary monitoring, and diabetes-friendly menu recommendations. Functional testing using the black-box method achieved a 100% success rate, validating that all features performed as expected. By enabling patients to self-monitor their condition while maintaining real-time communication with doctors, DiaCare improves efficiency, data accuracy, and patient engagement. The findings suggest that DiaCare has the potential to enhance diabetes management and optimize healthcare services for patients requiring regular monitoring at Klinik Pratama Bandar Lor Kediri.

VibeScreen: A Mood-Based Movie and Music Recommendation Mobile Application Melky Sinun Usen; Sulistyo Dwi Sancoko
J-INTECH ( Journal of Information and Technology) Vol 13 No 02 (2025): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v13i02.2137

The advancement of digital technology has driven the emergence of various innovations in delivering personalized entertainment content. One promising approach is a mood-based recommendation system, which enables users to receive suggestions for movies or music that match their emotional state. This study designed and developed VibeScreen, a prototype application for recommending movies and music based on user mood using sentiment analysis of text inputs. The system applies Natural Language Processing (NLP) techniques to classify user sentiment, which is then used to generate relevant entertainment recommendations. The application was developed using Flutter for the mobile interface and Flask for the backend services, with Firebase supporting user authentication and data storage. The dataset was collected through online questionnaires and secondary sources such as IMDb and Spotify. Testing results show that the system can provide mood-relevant recommendations with an interactive and responsive interface. This research contributes by integrating movies and music recommendations in a single platform, offering a more adaptive and emotionally relevant entertainment experience.

Digital Transformation in Human Resource and Operational Management of Snake Fruit Plantations Kadek Dimas Ganes Grahista; Sulistyo Dwi Sancoko
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.3160

Digital transformation is crucial for modernizing the agricultural sector, improving operational efficiency, record accuracy, and resource management transparency. This study aims to design and develop an integrated information system using both web and mobile platforms to address managerial challenges at I Nyoman Suryadiputra Garden, specifically related to the manual record-keeping of harvest data and employee attendance, as well as the lack of a monitoring system that hinders worker discipline and causes operational inefficiencies. The research is conducted in three phases: first, the initial phase with manual management and disorganized records, second, the development of the digital system, and third, the implementation phase, where digital records enhance efficiency and transparency. Unlike existing digital frameworks in sectors such as oil palm or livestock farming, this system provides a comprehensive solution by integrating harvest records, employee attendance, payroll, monthly reports, monthly performance report, guidelines & procedures, and leave requests into a single platform, support the implementation of the initial steps of Agriculture 4.0. Key features include digital attendance via QR codes, activity reporting, harvest record-keeping, and leave requests, all stored in a centralized MySQL database. Flutter, React, and Laravel were selected due to their scalability and efficiency in handling large datasets. Flutter enables efficient cross-platform mobile development, React offers a dynamic web interface, and Laravel provides an optimal backend framework for large-scale data management. Preliminary analysis predicts a 30% reduction in time spent on attendance tracking, a 40% reduction in harvest data errors, and a 50% reduction in employee absenteeism, indicating enhanced worker discipline. This research follows a design science methodology, employing iterative design, testing, and refinement. The developed system is adaptable to other agribusiness sectors.

Implementation of the Brocleanx Application for Optimizing Android Based Shoe Cleaning Management Ervin Khoirus Syifa' Uddin; Sulistyo Dwi Sancoko
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.3179

This research addresses operational inefficiencies within local service SMEs by detailing the development of a mobile booking application for the Brocleanx case study. The pre existing manual booking system resulted in significant inefficiencies and a lack of real time tracking. The innovation of this research lies in its integrated approach, which combines Location Based Service (LBS) for booking logistics accuracy with end to end service transparency through real time order status tracking. This study adopts a structured waterfall development methodology, encompassing requirements analysis, system design, implementation, and functional testing using the Black Box method. The resulting application enables customers to book pick up and delivery services, specify their location accurately via LBS for efficient logistics, and track order status in real time. Supporting features include transaction history and automated notifications. Developed using Flutter for the UI and Supabase as a Backend as a Service (BaaS), the application was validated through functional testing. This testing confirmed the successful operation of core functionalities, achieving an 85.7% pass rate. Findings indicate that the application successfully transformed manual business processes into a centralized digital system, significantly improving operational efficiency by addressing the previous 15% order data error rate and 10 minute administrative work time order, while simultaneously enhancing customer convenience through transparent monitoring. This study concludes that the LBS-integrated mobile booking application is an effective solution for improving service quality at Brocleanx. Furthermore, this implementation serves as a practical model for other local service SMEs seeking to digitize their operations by enhancing logistics efficiency and customer transparency.

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