5 research outputs found
DESIGN AND DEVELOPMENT OF CUSTOMER COMPLAINT SERVICE APPLICATION OF PDAM TIRTANADI BRANCH MEDAN DENAI BASED ON ANDROID
No full textObjective: This study aims to design an Android-based customer complaint service application for PDAM Tirtanadi Medan Denai Branch, enhancing customer service efficiency and responsiveness to complaints. Methods: A descriptive qualitative approach was employed, gathering data through direct observation, interviews with customers and administrators, and a literature review. The system development process followed stages including system requirements analysis, design, code generation, testing using black-box methods, and support for maintenance. Results: The resulting application enables rapid, accessible complaint submission for users, providing an effective alternative to traditional call center services and significantly reducing response times for issues such as water quality and meter failures. Novelty: This research contributes an innovative approach for water utility companies in Indonesia by incorporating mobile technology to facilitate 24-hour, location-independent access to complaint services, enhancing service transparency and community satisfaction
RANCANG BANGUN SISTEM INFORMASI GEOGRAFIS (SIG) LOKASI PRAKTEK KERJA INDUSTRI (PRAKERIN) SMK METHODIST MEDAN BERBASIS WEB
No full textSystem Information Geographical (SIG) in one of based information system for storing, managing, and analzing, aw well as retrieving geograpchical referenced data that develope rapidly in the last five years.in this research, reseachers will build a geographical information system appllication for industrial work practice bby utilyzing location mapping to facilitate students in conducting and obtaining information about industrial work practices that is determined by SMK Methodist Medan. In the development of this system the research wil use some tods and programming languange such as Vscode as a text editor, PHP as programming language MySql as a database for data storage and googlemaps to help display map and live location in this research later student will easily get an information about industrial work practice at SMK Methodist Medan.Sistem Informasi Geografis (SIG) salah satu sistem informasi berbasis komputer untuk menyimpan, mengelola dan menganalisis, serta memanggil data bereferensi geografis yang berkembang pesat pada lima tahun terakhir ini. Pada penelitian ini peneliti akan membangun aplikasi sistem informasi geografis praktek kerja indutri (PRAKERIN) dengan memanfaatkan pemetaan lokasi untuk memudahkan siswa dalam melakukan dan mendapatkan informasi seputar praktek kerja industri (PRAKERIN) yang ditentukan oleh pihak sekolah SMK Methodist Medan. Dalam pembangunan sistem ini nantinya peneliti menggunakan beberapa tools dan bahasa pemograman seperti Vscode sebagai text editor PHP sebagai bahasa pemograman MySql sebagai database untuk penyimpanan datanya serta googlemaps untuk membantu menampilkan peta dan live locationnya. Dalam penelitian ini hasil yang di dadapakan nantinya siswa bisa dapat dengan mudah menerima informasi seputar praktek kerja industri (PRAKERIN) di SMK Methodist Meda
ANALYSIS OF GOODS MANAGEMENT SYSTEM IN THE COMMUNICATION AND INFORMATICS DEPARTMENT OF SERDANG BEDAGAI DISTRICT
No full textThe current problem is that the Serdang Bedagai district communication and informatics office is experiencing difficulties in managing incoming and outgoing goods. Management is currently carried out manually and cannot be viewed online so that many errors occur, one of which is a mismatch between the stock of goods recorded and the physical stock of existing goods. The goods management system that will be built in this study uses the waterfall model and PHP and HTML programming languages as well as CSS to design the web appearance. The system has 9 entities, namely: officer, user, sender, person in charge, goods, recipient, detail_recipient, expenditure and data_dinas. The results of the implementation of the proposed system are more optimal management of goods and help the performance of the warehouse admin in making real-time stock update reports and borrowing good
Numerical Analysis of Variations Distance Formulas on K Nearest Neighbors In Classifying Malaria Parasite Blood Cells
No full textMalaria is one of the numerous acute and chronic diseases. Even malaria can pose a threat to a person's safety. The original cause of malaria was an infection with a protozoan of the genus Plasmodium, which was transmitted by the bite of a mosquito. This Anopheles mosquito parasite infects red blood cells throughout the body, resulting in an enlarged spleen. This research aims to make it easier for physicians to classify blood images as malaria-infected or not. If the input is a blood image, then SURF Feature Extraction will be used to extract the blood image. We therefore obtained weight results based on the extraction results. The weighted results generated by the SURF extraction process will be classified using the KNN Algorithm to determine whether or not an individual is infected with malaria. This study's tests compared various distance formulas utilized by the KNN classification method. Comparing the results of malaria blood image classification using the KNN classification method with variations in the distance formula, it is evident in table 7 that correlation is the optimal distance formula for malaria parasite blood cells recognition, followed by cosine. According to the results of KNN's tests, it is not optimal at classifying blood images containing malaria, but these results are categorized as goo
Numerical Analysis of Variations Distance Formulas on K Nearest Neighbors In Classifying Malaria Parasite Blood Cells
No full textMalaria is one of the numerous acute and chronic diseases. Even malaria can pose a threat to a person's safety. The original cause of malaria was an infection with a protozoan of the genus Plasmodium, which was transmitted by the bite of a mosquito. This Anopheles mosquito parasite infects red blood cells throughout the body, resulting in an enlarged spleen. This research aims to make it easier for physicians to classify blood images as malaria-infected or not. If the input is a blood image, then SURF Feature Extraction will be used to extract the blood image. We therefore obtained weight results based on the extraction results. The weighted results generated by the SURF extraction process will be classified using the KNN Algorithm to determine whether or not an individual is infected with malaria. This study's tests compared various distance formulas utilized by the KNN classification method. Comparing the results of malaria blood image classification using the KNN classification method with variations in the distance formula, it is evident in table 7 that correlation is the optimal distance formula for malaria parasite blood cells recognition, followed by cosine. According to the results of KNN's tests, it is not optimal at classifying blood images containing malaria, but these results are categorized as goo
