Information needs among the people at the moment is very large, including information on the management of fund mosque around them. The administrative system related to the processing of financial data is an important thing for an agency, be it government institutions, community institutions, or religious institutions such as mosques. Mosques are religious institutions that are managed independently by the community. As one of the institutions that manage funds collected voluntarily from the community, accountability and transparency are needed in its management. Masjid Al-Istiqomah Muaro Jambi in fund management still uses manual methods, namely by recording on the cash book so as to allow inaccuracy of data in recording incoming and outgoing funds and difficulties in finding previous data, as well as the absence of transparency of the overall funds owned by The Al-Istiqomah Mosque to the local community. This study aims to make it easier for mosque administrators to manage mosque funds and provide financial information quickly, precisely and accurately to the public. The model used in this study is unified modelling language (UML) and prototype design using figma application. This research resulted in a prototype of a web-based information system for managing funds mosque and their reporting.

Facial recognition work combined with the facial owner's position estimation feature can be utilized in various everyday applications such as face attendance with position detection. Based on this, this study offers a system testing experiment that can be run with facial recognition features and an Indoor Positioning System (IPS) to automatically check the location of the owner of the face. Recently, deep learning algorithms are the most popular method in the world of artificial intelligence. Currently, the Deep Learning algorithm toolbox has provided various programming language platforms. Departing from research findings related to deep learning, this study utilizes this method to perform facial recognition. The system we offer is also capable of checking the position or whereabouts of objects using Indoor Positioning System (IPS) technology. Facial recognition evaluation using CNN obtained a maximum value = 92.89% and an accuracy error value of 7.11%. Meanwhile, the average accuracy obtained is 91.86%. In the evaluation of the estimated position tested using DNN, the highest value of r2 score is 0.934, the lowest is 0.930 and an average is 0.932 and the highest value is MSE is 4.578, the lowest is 4.366 and the average is 4.475. This shows that the facial recognition process that is tested is able to produce good values but not the position estimation process. Keywords: Face Recognition, IPS, CNN, MSE, Accuraccy.

Ketersediaan bahan ajar merupakan salah satu faktor kunci dalam kegiatan belajar mengajar. Bahan ajar bisa digunakan untuk membantu siswa memahami tentang topik isi dari pelajaran. Selama masa pandemi Covid-19 ini SDN 13 Kota Jambi melaksanakan kegiatan belajar mengajar secara online/daring, dimana media yang digunakan untuk pembelajaran online adalah WhatsApp Group. Dalam Pelaksanaannya guru hanya mengirimkan tugas melalui WhatsApp Group, hal ini tentu kurang efektif karena siswa harus mengerjakan tugas yang diberikan tanpa ada penjelasan materi terlebih dahulu oleh guru. Siswa dituntut untuk memahami sendiri materi pembelajaran yang terdapat dalam buku tema sebelum dapat megerjakan tugas-tugas yang diberikan oleh guru. Hasil dari Kegiatan ini diharapkan guru-guru memiliki keterampilan dalam membuat bahan ajar berupa video pembelajaran yang mudah di pahami oleh siswa.

Kualitas sistem Pendidikan sangat dipengaruhi oleh kualitas sumber daya manusia, dalam hal ini adalah guru. Dalam menentukan kualitas guru maka penilaian kinerja menjadi satu hal yang penting dalam sebuah instansi Pendidikan. SMK Dharma Bhakti 1 Jambi terus melakukan eveluasi terhadap kinerja guru, hal ini bertujuan untuk melihat sejauh mana tanggungjawab masing-masing guru sudah dilaksanakan. Dalam meningkatkan kinerja guru pada SMK Dharma Bhakti 1 Jambi masih bersifat subjektif yaitu dengan cara mengevaluasi penilaian masing-masing guru terhadap guru lainnya. Berdasarkan permasalahan yang terjadi pada SMK Dharma Bhakti 1 Jambi tersebut maka dibutuhkan suatu sistem pendukung keputusan kinerja guru berdasarkan kriteria yang ada. Penelitian ini menggunakan metode Fuzzy Analytical Hierarchy Process (AHP) yaitu metode penilaian kinerja yang menyeluruh atau komprehensif. Dan hasil akhir dari penelitian ini adalah sebuah rancangan sistem pendukung keputusan untuk penilaian kinerja guru pada SMK Dharma Bhakti 1 Jambi menggunakan Fuzzy AHP.