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All Journal JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi) Syntax Literate: Jurnal Ilmiah Indonesia Awang Long Law Review Jurnal Infrastruktur Journal of Global Business and Management Review Management Studies and Entrepreneurship Journal (MSEJ) Jurnal Informatika dan Sistem Informasi GANDRUNG: Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Jurnal Ilmu Agama dan Pendidikan Agama Buddha (JIAPAB) Indonesian Andrology and Biomedical Journal Technology, Business and Entrepreneurship
William
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Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Mathematics Physics Social Sciences Transportation Other

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Socialization of Early Savings Movement to Improve Skills in Financial Management at the Berkat Iman Orphanage Agus Tina; Khana Saputri; Ninta Katharina; Afriza Amir; William
GANDRUNG: Jurnal Pengabdian Kepada Masyarakat Vol. 6 No. 2 (2025): GANDRUNG: Jurnal Pengabdian Kepada Masyarakat
Publisher : Fakultas Olahraga dan Kesehatan, Universitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This activity is aimed at the community, especially the main focus is children who need guidance on early savings awareness. The community service team from Universitas Prima Indonesia will conduct socialization activities for children at the Berkat Iman Orphanage. The method in implementing community service is in the form of socialization and discussion between UNPRI lecturers, administrators and children of the Berkat Iman Sejahtera Orphanage. This community service activity was carried out at the Berkat Iman Sejahtera Orphanage, Jalan Sampul No. 49, Sei Putih Barat, Medan Petisah District, Medan City. The target of this community service activity is administrators and early childhood children. A total of 25 orphanage children aged 7 months - 14 years accompanied by 5 administrators have participated in the socialization activity. The results of this activity can be concluded that many children at the Berkat Iman Sejahtera Orphanage still do not know about how to save properly. Administrators at the Berkat Iman Sejahtera Orphanage have additional knowledge and understanding related to how to manage finances through saving from an early age. Administrators and children become aware of good ways to save.
Prediksi Gelombang Corona Dengan Metode Neural Network Andrian; Dicky; Jefika, Meliy; Kosasi, Hendrick; Prayogi, Gali; William; Dharma, Abdi
Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Vol. 3 No. 2 (2020): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Utility Project Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9767/jikomsi.v3i2.74

Abstract

Until recently the spread of COVID-19 is unstoppable. COVID-19 is caused by RNA Virus that spread widely between humans, mammals, and birds which cause respiratory, enteric, heart and neurologic diseases. Although it is known for respiratory infection, the virus through plasma or serum is also happen often. Therefore, there is still theoretical risk of the virus spreading through blood transfusion. Because there are more cases that shown no symptoms, worries about the spread of COVID-19 is increasing. Several attempts have been done for alleviate mortality rates like mask usage and lockdown quarantine. Neural network adapt on how a human brain works. One of neural network techniques is Multilayer Perceptron (MLP). In MLP, input data is received through one dimension and spread through network until an output is achieved. Every neuron connection on two neighboring layers have one dimensional value that determine the quality of that node. On every input data at each layer calculation is done by the weight of the layer, and then the result will be transformed by using non-linear formula that called as activation function. The result of this research is found by the help of two cross validation technic: GridSearchCV and KFold Cross Validation which gave each 0.943887 and 0.911341 score. The score is achieved using r2 which the best parameter of the model is determined as: relu, 0.1, (10,10), invscaling and lbfgs. Result showns that the proposed model can do the prediction well against the mortality rate of corona.
Co-Authors Abdi Dharma Afriza Amir Agus Tina Andrian Armin Christiarini, Renny Dicky Fidia Gloria, Oxana Hadion Wijoyo Haudi Jefika, Meliy Johny Budiman Kamilatunnaimah, Mutiara Khana Saputri Kosasi, Hendrick Lily Purwianti Macnino, Peter Marcell, Richard Nelly Ninta Katharina Nuzula, Isnaini Oei, Fuk Jin Pakpahan, Cennikon Prayogi, Gali Putra, Edy Yulianto Raditya Ibrahim Suharyani, Sally Sukri Tiovino, Dustin Vinsensius Yosua Setyawan Soekamto