Application knowledge base for diabetes such as expert systems has been developed, but generally using conventional methods that have limitations in representing knowledge. Ontology supports the search of data / information by defining the concept of convergent intended by the user. This study using Diabetes Mellitus Classification based diabetes disease diagnosis from World Health Organization Geneva. This system receives input patient data from user. Then, system will build the patient ontology to represent patient knowledge. We are connecting Java applications to Protégé using OWL API. Then, system will calculate the weight of an ontology based on density. This system use JENA Inference Engine and working memory area for reasoning. The system would then do process similarity matching with Ontology Diabetes Mellitus using weighted tree similarity algorithm. Ontology has the highest similarity value will be the proposed diagnosis. Results of this study show that the representation in the form of OWL ontology using weighted ontology and weighted tree similarity algorithm can be used to represent knowledge about diabetes mellitus.

<p class="Abstrak">Penyebaran COVID-19 di Indonesia mengakibatkan penurunan transaksi pada pasar tradisional, hal ini dikarenakan adanya penurunan jumlah pengunjung dan minat beli serta minat beli masyarakat secara luas. Salah satu pasar tradisional yang terdampak adalah Pasar Oro-oro Dowo Kota Malang. Untuk tetap mempertahankan transaksi di pasar, pedagang Pasar Oro-oro Dowo menggunakan aplikasi <em>WhatsApp</em> untuk menawarkan barangnya, selain itu ada pula solusi yang ditawarkan Pemerintah Kota yakni menyediakan sarana untuk jual beli secara online. Namun solusi tersebut belum mampu memberikan pengalaman penggunaan yang mudah serta adanya beberapa fungsi yang masih terpisah dari platform utama membuat solusi tersebut kurang efektif. Oleh karena itu, melalui penelitian ini diusulkan rancangan aplikasi <em>e</em>-<em>business</em> pasar berdasarkan penerapan elemen UX dengan menggunakan pendekatan <em>Human-Centered Design.</em> Hasil dari penelitian berupa tiga <em>prototype</em> yang diujikan kepada tiga kelompok pengguna yakni pembeli, pedagang, dan admin pasar. Pengujian rancangan <em>prototype</em> aplikasi tersebut dilakukan dengan pendekatan <em>usability testing</em> yang mengukur aspek efektivitas, efisiensi dan kepuasan pengguna. Skor efektivitas dari aplikasi pedagang, pembeli dan admin berturut-turut sebesar 100%, 98% dan 100%. Sedangkan skor efisiensi berturut-turut sebesar 100%, 97,03% dan 100%. Dalam pengujian aspek kepuasan pengguna, kuesioner yang digunakan adalah PSSUQ dengan hasil skor sebesar 2,0 pada aplikasi pedagang, 2,15 pada aplikasi pembeli dan 1,11 pada website admin.<br /><br /><br /><em><strong>Abstract</strong></em></p><p class="Abstrak"><em><br /></em></p><p class="Abstrak"><em>A covid-19 pandemic causes the decrease of transactions in the traditional market. This is due to the decrease in the number of visitors and public purchase intention extensively. One of the markets affected is Oro-Oro Dowo Market in Malang City. To maintain the transaction in the market, the sellers in Oro-Oro Dowo Market use the WhatsApp application to offer their items. Moreover, the solution offered by the City Government is by providing a platform for the online transaction. However, the solution has not been able to provide an easy user experience, and several functions that are still separated from the main platform make this solution less effective. Therefore, through this study, the user experience design of the conventional market e-business application using Human-Centered Design is proposed. The results of the study are in the form of three prototypes that are tested to three user groups, buyer, seller, and market admin. The testing for application prototype design is conducted by usability testing approach, which measures the effectiveness, efficiency, and user satisfaction aspects. The effectiveness score of seller, buyer, and admin applications are 100%, 98%, and 100%, respectively. Meanwhile, the efficiency score is 100%, 97.03%, and 100%, respectively. In testing the user satisfaction aspect, the questionnaire used is PSSUQ with a score of 2.0 in seller application, 2.15 in buyer application, and 1.11 in admin website.</em></p>

Reducing the risk of failure in working on software projects is one of the successes for the company. It can be done by implementing project planning management properly. One important aspect of project management planning is scheduling. Scheduling includes recording human resources and tasks in the project. The Kanban method is one of the methods used to overcome problems in controlling project schedules. This study aims to develop a project scheduling system that applies the Kanban method. In this research, project management and scheduling system will be developed using the Kanban method. This system expected to be able to assist companies in handling projects. Kanban was chosen because it can easily respond to project changes, easily implemented, and company needs. In this study, unit testing was performed on the system's three main features and tested the validity of the system's 49 functional requirements. The usability test produces a value of 76. Based on the validation and usability test results, it can be concluded that the system is included in the acceptable category.

Shrimp cultivation in Indonesia has been increasing since the introduction of white leg shrimp or often known as vaname (Penaeus vannamei) from the South Pacific waters. The use of a cultivation model with a circular pond with a diameter of 10 meters has begun to attract shrimp farmers in the northern coastal areas of Java, including Tuban Regency. There are several water quality parameters that affects survival rate such as Dissolved Oxygen (DO), Temperature, and Total Dissolved Solids (TDS). Shrimp pond farmers in Tuban Regency have used digital measuring tools to monitor the environmental conditions. However, these measurements cannot be carried out continuously for 24 hours. This often causes delays in identifying problems that occur in ponds and eventually impacts on reducing biomass weight, resulting in not achieving harvest targets. In this study, a continuous monitoring system for water quality management was designed and implemented. The system consists of an IoT-based water quality monitoring device combined with a Shrimp Aquaculture Management Information System. Based on the system that has been built, it is found that the system has been able to acquire all sensor parameters and send them to the server. The results of calibration and prediction using linear regression show that the average data reading error is achieving 14% for DO sensors, and 1% each for temperature and TDS sensors. The aggregated data is presented in tabular and graphic formats so that daily monitoring and predictions can be carried out in ponds.

One of the units of the company which is engaged in electricity handles many electrical large projects. The current condition of recording project activities that is still done manually and is not centralized has become difficulties in searching for data when needed. Job targets that also cannot be monitored create difficulties in management. Therefore, an effective and efficient monitoring information system for recording project activities is required so as to facilitate the management of monitoring data projects and data retrieval. The system development process using the prototyping method is implemented on a website basis by utilizing the Kanban system in managing work items. The Trello API is used to retrieve project data along with the use of the Kanban system in Trello to maintain data security which can only be managed by the project manager. System development is carried out through the stages of problem identification, literature study, needs analysis, design with Unified Modeling Language, and implementation using Laravel as a framework. Functional testing of the system with Blackbox testing gets 100% indicating the system is in accordance with the requirements specifications. Usability testing using the System Usability Scale gets a value of 84 in the acceptable system category. Responsive testing is conducted with the results of the interface meets various screen sizes and orientations. The compatibility testing implementation shows the system works well with various browsers.