The right decision in placing employees in an appropriate position in a company will support the quality of management and will have an impact on improving the quality of human resources of the company. Such decision-making can be assisted by an approach through the Decision Support System (DSS) to improve accuracy in the employee placement process. The purpose of this paper is to compare the four methods of Multi Criteria Decision Making (MCDM), ie Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Simple Additive Weighting (SAW), Analytic Hierarchy Process (AHP) and Preference Ranking Organization Method for Enrichment Of Evaluations (PROMETHEE) for the application of employee placement in accordance with predetermined criteria. The ranking results and the accuracy level obtained from each method are different depending on the different scaling and weighting processes in each method.

Masalah yang ada di Harmoni Gallery yaitu sering mengalami kesulitan dalam pendataan customer dan rumah yang sudah terjual maupun belum terjual. Harmoni Gallery belum adanya pembuatan laporan penjualan dan pelayanan mereka hanya menggunakan rekap nota untuk laporan. Tujuan penelitian ini untuk menanggulangi permasalahan tersebut, yaitu dengan merancang sistem penjualan rumah secara terintegrasi dan terorganisir lebih baik dengan memanfaatkan teknologi informasi yang sudah berkembang pesat. Metodologi dalam penelitian ini menggunakan metode studi pustaka dan metode observasi dengan mengumpulkan data yang berhubungan dengan masalah – masalah yang hendak diteliti. Berdasarkan penelitian yang dilakukan, diperoleh hasil bahwa sistem informasi penjualan perumahan di harmoni gallery berbasis java, dapat memudahkan pekerjaan bagian admin dalam mendata data karyawan, data pelanggan, data rumah, data survey, transaksi cash, transaksi kredit dan pembayaran cicilan dengan mudah dapat melakukan pendataan dan penyimpanan data lebih aman dan terjamin. Kata Kunci : Harmoni Gallery, Java, Netbeans

Politeknik Negeri Jember (National State of Jember Polytechnic), Indonesia, fully understand that infrastructure is one among various key factors to enhance the quality of the university. However, in the department of Information Technology, infrastructure management is a prominent issue. The primary cause of the issue appears to be a manual arrangement of room reservations, as room usage often crashes due to the scheduling mismatch. To tackle this issue, this study focuses on the development of a room reservation information system, known as “Sistem Informasi Peminjaman Ruangan dan Sarana Pembelajaran (SIPRu)”. The system is developed as an additional feature in the department website. It is developed using the Waterfall method, beginning with the requirements analysis (i.e., an identification of functional and non-functional requirements) and architectural processes design processes (i.e., the development of use case diagram, flowchart, data flow diagram, and database design). In this study, Laravel is used for the implementation, and black box testing is used to verify compliance with the functional requirements. During the testing process, 42 department stakeholders participated to validate the requirements and conduct user experience testing. The results indicated that the stakeholders have found the website to be sufficiently responsive to their needs. Furthermore, it is revealed that SIPRu is effective at assisting users in reserving rooms at the department of Information Technology, National State of Jember Polytechnic.

Keterasingan sosial, konsumerisme hingga ketergantungan menjadi isu negatif dari disruptif teknologi yang dibawa oleh teknologi informasi kepada para pelajar. Sebagai salah satu lembaga yang bergerak di bidang Pendidikan, SMP Al-Irsyad Al-Islamiyyah Jember juga menghadapi tantangan di era digital saat ini terutama bagaimana menyisipkan materi literasi digital pada peserta didik sehingga energi mereka dapat tersalurkan pada hal yang positif. Salah satu solusi yang ditawarkan adalah dengan pemanfaatan aplikasi pembuatan game. Dengan belajar membuat games sendiri siswa dapat menyalurkan energi mereka melalui imajinasi yang mereka miliki dan terpacu membuat karya yang kreatif. Kegiatan pelatihan dilakukan dengan menggunakan metode presentasi, demonstrasi, serta praktik langsung. Hasil akhir dari pelatihan adalah bentuk game sederhana yang dibuat oleh para siswa.

Perusahaan Daerah Perkebunan (PDP) Kahyangan is a Regional Owned Enterprise (BUMD) in Jember Regency which was formed in order to manage plantation commodities in 3 Main Plantations and two Subdivision Plantations. PDP’s profit contribution to Jember’s PAD (Pendapatan Asli Daerah) has continued to decline in recent years. With a target of PAD from plantation products in 2020 of 20 million rupiah, only 20% can be realized (4 million rupiah). Based on the 2023 PDP Kahyangan Jember Strategic Plan, one of the problems causing the opinion deficit is external factors. One of them is the suitability between the potential of the plants planted and the land conditions in a plantation area. Where land suitability, which is the carrying capacity of the land, has a significant effect on crop production. Based on the problems that have been presented, it is necessary to design a GIS-based Decision Support System (DSS), which can provide insight to researchers, practitioners and policy makers regarding the success of managing GIS data for the land suitability evaluation process so that it can increase agricultural productivity. Several stages that will be carried out include data collection, data preparation, and data processing carried out in GIS, then continued with implementation of Decision Support System. The used of agile methods to the application development process ensures that the application is built in a shorter time through the use of continuous iteration and testing thereby ensuring that the DSS implementation on the Web GIS application can run optimally.

The problem of data loss in a dataset is experienced in surveys for data collection which are usually caused by no response from units or items during the survey data collection process. The loss of a data can significantly influence the results of a study. The inaccuracy in choosing a solution to overcome these problems can result in a less than optimal outcome that tends to be biased. Some methods that are widely used to solve these problems are using the K Nearest Neighbor (K-NN) and Naïve Bayes methods, the main purpose of this study is to compare the performance of the two methods. From the results of the K-NN, the results were better, where the Mean Square Error (MSE) is bigger than 1 and MAPE around 10-16%, while Naïve Bayes got MSE values bigger than 1 and MAPE ​​around 26%.