Proses penentuan siswa teladan merupakan proses penilaian siswa dari berbagai aspek yang ditentukan oleh sekolah. Penetapan siswa terbaik di SMK Telkom Purwokerto sangat penting untuk meningkatkan semangat belajar siswa, karena penghargaan akan memotivasi prestasi belajar siswa. Penentuan perhitungan yang cepat dan akurat memerlukan suatu sistem yang dapat menangani manajemen pengambilan keputusan untuk menghasilkan siswa terbaik. Metode Simple Additive Weighting (SAW) merupakan metode yang dapat digunakan untuk mengetahui prestasi belajar siswa. Studi kasus dilakukan di SMK Telkom Purwokerto. Sistem informasi penentuan siswa berkualitas ini diharapkan dapat digunakan sebagai sarana di SMK Telkom Purwokerto. Dengan sistem ini, sekolah dapat dengan mudah memilih kriteria dan menentukan siswa terbaik di sekolah tersebut.

Abstrak -Perkembangan dan perubahan teknologi informasi saat ini harus dapat dimanfaatkan secara maksimal oleh organisasi. Informasi merupakan salah satu aset yang paling utama dalam mendukung kemajuan dan pencapaian tujuan suatu organisasi. Pengukuran kinerja dari suatu organisasi perlu dilakukan untuk memastikan ketercapaian yang telah ditetapkan. Dalam proses pengukuran kinerja diperlukan data dan informasi yang diambil dari bagian yang terkait ataupun keseluruhan. Hasil dari monitoring kinerja dapat langsung di lihat oleh user yang berkepentingan secara efektif dan efisien. Dashboard merupakan suatu alat yang dapat membantu pimpinan dari perguruan tinggi untuk memonitoring dan mengevaluasi kinerja organisasinya dengan menyajikan informasi Key Performance Indicators (KPI) dalam bentuk antar muka visual secara sekilas dalam satu layar, sehingga data dapat dianalisa dengan lebih efektif dan efisien. Metode penelitian yang digunakan adalah studi literatur dan studi kasus. Studi literatur dilakukan untuk mengkaji berbagai konsep mengenai dashboard, KPI dan visualisasi informasi. KPI yang digunakan dalam pengembangan dashboard di LPPM menggunakan indikator dari kontrak manajemen pada program customer dan learning growth yang diterapkan di ST3 Telkom Purwokerto. Hasil dari penelitian menunjukkan bahwa dengan menggunakan model waterfall pada penyampaian dashboard ke user yang telah dilakukan dengan 2 iterasi, dashboard ini sudah memenuhi kebutuhan dari LPPM dalam memantau kinerjanya.Kata Kunci -Dashboard Information System (DIS), Key Performance Indicator (KPI), Metode Waterfall Abstract -Developments and changes in information technology should be fully utilized by the organization. Information is one of the most important asset in supporting the progress and achievement of the objectives of an organization. Measurement of the performance of an organization needs to be done to ensure the achievement that has been set. In the process the necessary performance measurement data and information extracted from the relevant part or in whole. Results of monitoring performance can be directly viewed by the user concerned effectively and efficiently. Dashboard is a tool that can help the leaders of universities to monitor and evaluate the performance of the organization by presenting information about Key Performance Indicators (KPI) in the form of a visual interface at a glance on one screen, so that data can be analyzed more effectively and efficiently. The method used is the study of literature and literature kasus.Studi studies conducted to assess various concepts of dashboards, KPIs and visualization of information. KPIs are used in the development of dashboards in LPPM using the indicators of the program management contract customer growth and learning are applied in Telkom ST3 Purwokerto.The results show that by using the waterfall model on delivering dashboards to users who have performed with the second iteration, the dashboard has been meeting the needs of LPPM in monitoring performance.

Palm oil has become a leading commodity for economic improvement in Indonesia. Currently, many people depend on the oil palm plantation sector. In the palm oil supply chain, there are business actors from upstream to downstream. But currently, palm oil export activities in the world are increasing. Thus causing palm oil in Indonesia to be scarce and expensive. This study discusses the analysis of consumption and production of palm oil in Indonesia by using the moving average method to forecast the amount of consumption and production of palm oil in 2022. Then analyzed using descriptive analysis method. The data source in this study is based on data available from BPS (Central Bureau of Statistics). From the forecasting results, the results show that palm oil consumption in Indonesia in 2022 has increased by 10.36% or 1.643 million tons from the amount of palm oil consumption in 2021 which is only 15.857 million tons. This is a good thing because the annual consumption of palm oil continues to increase significantly

Forecasting is one of the essential measures in decision making, especially for estimating the number of needs. Some large companies often hire consultants to analyze and advise on forecast product demand. Especially in the health sector, forecasting is needed to meet customer drug demand. In the last two years, the Healthy Prayer Clinic experienced problems in planning the procurement of non-generic drugs due to the COVID-19 pandemic, where the number of drug requests was greater than the number of available drug stocks. This happened because the Healthy Prayer Clinic ordered non-generic drugs without planning. This study aims to determine the demand for non-generic medications in the next period and provide recommendations for the best forecasting method to meet customer needs. The methods used in this research are Simple Moving Average (SMA), Weighted Moving Average (WMA), and Exponential Smoothing (ES). Then test the accuracy of forecasting using Mean Square Error (MSE), Mean Absolute Deviation (MAD), and Mean Absolute Percentage Error (MAPE). The results of the overall forecasting calculation using the Simple Moving Average method of 19.774, then the Weighted Moving Average method of 19.573, and the Exponential Smoothing method of 20.851. The results of the calculation of the best demand forecasting using the Exponential Smoothing (ES) method for 3 months carried out from April 2021 to April 2022 obtained results of 20.851 with forecasting error accuracy using Mean Square Error (MSE), Mean Absolute Deviation (MAD) and Mean Absolute Percentage Error (MAPE) is 1.341.137, respectively; 883; and 0.90%. The best method with the smallest accuracy rate for forecasting errors is the Exponential Smoothing method with forecasting values for the next month, April 2022, amounting to 20.851

Websites for educational institutions is a form of information services that can be accessed online. One of the information services in educational institutions is library information system. This research focused on Institut Teknologi Telkom Purwokerto as s object of library information system implementation (dlibrary). Corresponding with library strategy to become â??user friendlyâ?, library of Institut Teknologi Telkom Purwokerto has provided information that follows user requirements and understanding. The one of user satisfaction for accessing the â??dlibraryâ? is the provided quality information system. This research uses Webqual Method. Webqual method is a method for measuring the quality of information from a web. This research is done by taking the perspective of the users about the information quality of the website. Data are used 95% significance level and the result on the dimensions of information quality (usability quality, information quality, and service interaction quality) has significant influence toward user satisfaction. It indicates that the content of the â??dlibraryâ? information are accurate, complete, understandable, relevant and present information in accordance with the needs of the user