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All Journal JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi) DeReMa (Development Research of Management) Jurnal Manajemen 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 (JUISI) 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 Global Accounting : Jurnal Akuntansi 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

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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.
Implementasi Teknologi Virtual Reality (VR) untuk Edukasi Anatomi Struktur Tulang dan Sendi Kaki Manusia Liyantara, Nikolas; William; Tiovino, Dustin; Mertha, Putu Rangga Deva
TECHBUS (Technology Business and Entrepreneurship) Vol. 3 No. 2 (2025): Technology, Business and Entrepreneurship
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Institut Teknologi dan Bisnis Sabda Setia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61245/techbus.v3i2.75

Abstract

Media pembelajaran anatomi yang bersifat konvensional umumnya kurang mampu membantu siswa memahami struktur spasial secara menyeluruh, terutama pada bagian tubuh yang kompleks seperti tulang dan sendi kaki. Penelitian ini bertujuan merancang sebuah aplikasi Virtual Reality (VR) yang bersifat interaktif serta menguji efektivitasnya dalam meningkatkan pemahaman siswa SMA terhadap materi anatomi tersebut. Aplikasi dikembangkan menggunakan model SDLC Waterfall, sementara evaluasinya dilakukan melalui desain one group pretest-posttest. Instrumen penelitian mencakup tes pilihan ganda dan analisis umpan balik untuk menilai peningkatan pengetahuan serta pengalaman pengguna. Sepuluh siswa jurusan IPA berpartisipasi dalam pengujian. Hasil studi menunjukkan peningkatan nilai rata-rata dari 31 menjadi 67 setelah penggunaan aplikasi, menandakan adanya peningkatan pemahaman yang signifikan. Umpan balik peserta mengungkapkan bahwa VR membantu visualisasi tiga dimensi secara lebih jelas dan menarik, meskipun masih ditemui kendala teknis pada aspek antarmuka. Secara keseluruhan, penelitian ini menegaskan bahwa VR memiliki potensi kuat sebagai media pembelajaran anatomi yang lebih efektif dibandingkan metode tradisional.
a William; Chandra, Yopie
Global Accounting Vol. 5 No. 1 (2026): Global Accounting : Jurnal Akuntansi
Publisher : Fakultas Bisnis

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Abstract

Studi memiliki tujuan supaya bisa mengetahui apakah struktur modal perusahaan manufaktur di subsektor makanan dan minuman yang tercatat di BEI di 2021–2024 dipengaruhi oleh profitabilitas, likuiditas, struktur aset, dan ukuran perusahaan. Ada 36 bisnis yang tercatat di BEI pada 2021 - 2024 ialah populasi studi ini. Pengambilan sampel dilaksanakan memakai teknik purposive sampling, dan 16 perusahaan sampel dipilih selama periode 4 tahun, sehingga total ukuran sampel menjadi 64. Dengan memakai alat analisis data, yakni SPSS 25 dan Microsoft Excel, studi ini memakai uji statistik deskriptif, asumsi klasik, koefisien determinasi, regresi linier berganda, dan pengujian hipotesis. Menurut studi tersebut, struktur aset tidak mempunyai dampak yang nyata terhadap struktur modal, sedangkan profitabilitas dan likuiditas memiliki konsekuensi negatif dan substansial. Skala perusahaan memiliki dampak yang menguntungkan dan substansial. Struktur modal secara simultan sangat dipengaruhi oleh semua faktor, dengan nilai signifikansi 0,000 < 0,05. Dengan Adjusted R2 0,646, model tersebut menjelaskan 64,6% variasi, sedangkan variabel lain menjelaskan 35,4%.
PREDICTING CONTINUED USAGE INTENTION BASED ON FIT CONFIDENCE, INNOVATINESS, IMMERSION, AND USER PERCEIVED VALUES William; Sihombing , Sabrina
DeReMa (Development Research of Management): Jurnal Manajemen Vol. 21 No. 1 (2026): Vol. 21 No.1 (2026): Mei
Publisher : Universitas Pelita Harapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19166/derema.v21i1.10923

Abstract

This study aims to analyze the influence of fit confidence, innovativeness, and immersion on continued usage intention through perceived hedonic value, utilitarian value, and social value. The research approach employed a quantitative method with a survey method of AR-based application users, with a purposive sampling technique to ensure respondents were relevant users. Data analysis was conducted using Structural Equation Modeling (SEM) to test the direct and indirect relationships between variables. The results showed that not all proposed hypotheses were empirically proven; however, several variables such as immersion and social value were shown to have a significant influence on continued usage intention. These findings confirm that the level of user engagement and perceived social value are important factors in driving continued usage intention towards AR technology. This study provides theoretical contributions to the digital marketing literature as well as practical implications for developers and marketers in designing engaging and valuable user experiences.
Co-Authors Abdi Dharma Afriza Amir Agus Tina Andrian Armin Cennikon Pakpahan Chandra, Yopie Christiarini, Renny Dicky Fidia Gloria, Oxana Hadion Wijoyo Haudi Jefika, Meliy Johny Budiman Kamilatunnaimah, Mutiara Khana Saputri Kosasi, Hendrick Lily Purwianti Liyantara, Nikolas Macnino, Peter Marcell, Richard Mertha, Putu Rangga Deva Nelly Ninta Katharina Nuzula, Isnaini Oei, Fuk Jin Prayogi, Gali Putra, Edy Yulianto Raditya Ibrahim Sihombing , Sabrina Suharyani, Sally Sukri Tiovino, Dustin Vinsensius Yosua Setyawan Soekamto