Situs web STT Wastukancana merupakan salah satu media informasi mengenai kegiatan institusi, baik untuk mahasiswa, dosen, tenaga kependidikan, maupun masyarakat luas. Selain sebagai media informasi, situs web STT Wastukancana juga terhubung dengan berbagai sistem informasi yang ada di institusi seperti sistem informasi akademik. Kemudahan pencarian informasi dan pengalaman yang baik saat menggunakan situs web tersebut sangatlah penting. Oleh karena itu, pada penelitian ini dilakukan evaluasi antarmuka dengan melakukan pengujian usability. Aspek usability yang dievaluasi adalah learnability, effectiveness, efficiency, dan satisfaction. Pengujian dilakukan dengan menggunakan metode cognitive walkthrough pada 10 orang responden, baik yang belum atau sudah pernah menggunakan situs web STT Wastukancana dan system usability scale (SUS) pada 20 responden yang sudah pernah menggunakan situs web STT Wastukancana. Hasil dari penelitian ini diperoleh nilai aspek learnability sebesar 96%, effectiveness sebesar 96%, efficiency sebesar 0,07 detik, dan aspek satisfaction dengan nilai SUS 86,25 dan acceptability ranges berada di kategori acceptable. Rekomendasi perbaikan usability situs web STT Wastukancana terdiri dari dua jenis rekomendasi, yaitu perbaikan antarmuka dan perbaikan sistem.

Acute Respiratory Syndrome Coronavirus-2 (SARS-Cov-2) known as covid-19 was detected and caused a very large number of deaths due to a mysterious respiratory disease. With the death toll continuing to rise, the government was forced to take swift action to break the chain of spread and reduce the number of deaths by taking vaccinations. An adequate vaccine against Covid-19 is expected to vaccinate at least 70% of the population. Therefore, this study was carried out as a step to help break the chain of the spread of the Covid-19 virus, by classifying the Covid-19 vaccine screening data. The research method applied in this study is the Knowledge Discovery in Database (KDD) method, in which there are several processes, namely selection, pre-processing, transformation, data mining, and evaluation. The application of the Naive Bayes method is expected to be able to classify Covid-19 vaccine screening data with vaccine class values, no, and delay. The results of the research on the classification of the Naive Bayes method show that there are 959 data with Vaccine data 695, No 200, and Delay 64. Processed using the Rapidminer application, the accuracy is 96.56%, Precision is 92.46%, and Recall is 92.13%.

Refratech Mandala Perkasa (RMP) is a refractory cement manufacturing company. The company also operates in the manufacture of refractory cement made for repair of hot coatings, boilers, rotary kilns, incinerators, ovens and chemicals for steel metals, as well as ferrous & non ferrous foundries. In this company there are contract employees and permanent employees, contract employees are employees or workers whose working period is limited by a certain time according to the agreement within the company. While permanent employees are workers whose working period is approximately until they receive certain benefits according to the work agreement. This research was conducted to assist companies in decision support using the Topsis method in determining the appointment of contract employees to permanent employees based on predetermined criteria, namely Knowledge and Skills at work, Quantity and Quality of Work, Job Responsibilities, Initiatives in Work, and Compliance. on rules or discipline. The results of this study indicate that the determination of the ranking of prospective permanent employees can be obtained from the calculation results of the TOPSIS method, where the results of prospective employees are based on predetermined administrative criteria. Prospective permanent employees who have the highest rank have the right to be selected first. The accuracy of the implementation of the TOPSIS method on the system plays a major role in the effectiveness and efficiency of the company's services to consumers compared to before the system was implemented. With the implementation of this DSS system, it can help companies to make it easier to make decisions to survey prospective permanent employees and optimize employee performance.

Anyelir Cake And Bakery is the largest cake shop in Purwakarta which is engaged in the production of various kinds of cakes.  In the process of distributing products from the central store to branch stores, they still use WhatsApp to place orders. This causes frequent discrepancies in the number of products requested and the number of products received due to an error in reading the message. In this study, a mobile-based application will be built that is able to manage order data more accurately. The development of this application uses the User Centered Design (UCD). This is a design method that focuses on user needs so that the final result of this application does not need to change user behavior when using the application. The UCD method consists of four stages, namely plan the human centered design, specify user and organizational requirements, product design solutions, and evaluate design against user requirements. In the development process, application testing was carried out to get feedback from users with good scores, namely an average of 4 (agree) and 5 (strongly agree). This shows that the application is in accordance with the needs of the user.

Bantuan Pangan Non Tunai (BPNT) merupakan bantuan pangan yang diberikan oleh pemerintah kepada masyarakat miskin yang ada di Indonesia. Bantuan tersebut bertujuan untuk mengurangi beban pengeluaran dan memberikan asupan nutrisi yang lebih baik kepada masyarakat miskin secara tepat sasaran dan tepat waktu. Berdasarkan hal tersebut, Dinas Sosial Kabupaten Purwakarta khususnya Bidang Balinsos harus mampu menentukan peserta Keluarga Penerima Manfaat (KPM) sesuai dengan peraturan yang telah ditentukan oleh Presiden tentang penyaluran bantuan sosial non tunai. Dalam melakukan proses pemilihan peserta Keluarga Penerima Manfaat (KPM) diperlukan kriteria-kriteria untuk memilih calon peserta yang akan terpilih menjadi Keluarga Penerima Manfaat (KPM) Bantuan Pangan Non Tunai. Penelitian ini mengunakan metode Simple Addtive Weighted (SAW) dan metode pengembangan sistem Waterfall. Dengan dibuatnya Sistem Pendukung Keputusan untuk menentukan peserta Keluarga Penerima Manfaat (KPM) Bantuan Pangan Non Tunai, Dinas Sosial Kabupaten Purwakarta lebih mudah dalam memberikan alternatif keputusan siapa peserta yang lebih berhak menerima. Hasil alternatif keputusan dilengkapi dengan nilai prioritas yang mengacu pada kriteria-kriteria pengambilan keputusan yang telah ditetapkan. Kata Kunci – Simple Addtive Weighted (Saw), Sistem Pendukung Keputusan, Waterfall, Bantuan Pangan Non Tunai (BPNT).