Almuzakki, Muhammad Zaki
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Pengembangan Aplikasi Pencatatan Keuangan Ringan dan Mobile-Friendly Berbasis Website Untuk Unit Usaha Mikro Almuzakki, Muhammad Zaki; Nugroho, Hari; Oktafiani, Intan; Ephraim, David; Alexander, Christo Zwingly; Tarigan, Chaleb Ananta Phillipe; Zakiah, Zian
Jurnal SOLMA Vol. 14 No. 2 (2025)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v14i2.18968

Abstract

Background: Pertumbuhan usaha mikro di Indonesia terkendala masalah pencatatan keuangan konvensional, kurangnya pemanfaatan teknologi, dan pengetahuan bisnis yang terbatas. Digitalisasi pencatatan keuangan melalui aplikasi Mobile-Friendly seperti MonMon diharapkan menjadi solusi untuk meningkatkan pengelolaan keuangan dan pertumbuhan unit usaha mikro, didukung oleh tingginya penetrasi pengguna smartphone dan internet di Indonesia. Metode: Kegiatan dilakukan dalam beberapa tahap yang dimulai dengan survei lapangan. Hasil survei lapangan kemudian digunakan sebagai basis untuk membangun aplikasi pencatatan keuangan sederhana MonMon untuk kelompok pelaku usaha mikro. Aplikasi yang dibuat kemudian disosialisasikan dan dilakukan dua kali pendampingan baik secara luring maupun daring. Kegiatan dilaksanakan selama kurang lebih tiga bulan dan diakhiri dengan evaluasi. Hasil: Aplikasi pencatatan keuangan sederhana MonMon berbasis Website yang ringan dan ramah pengguna smartphone berhasil dibuat dan memperoleh sambutan baik dari mitra. Aplikasi ini memuat beberapa fitur pencatatan keuangan dasar yang penting bagi pelaku usaha mikro sesuai hasil survei lapangan dan mudah dioperasikan. Kesimpulan: Aplikasi MonMon mudah digunakan dapat membantu pelaku usaha mikro dalam memudahkan pengelolaan keuangan.
Comparative Analysis of Mathematical Models: A Case Study of Used Smartphone Price Depreciation Chandrawisesa, Muhammad Nezha Alfatah; Safitri, Annisa Rizky; Almuzakki, Muhammad Zaki; Tasmi, Tasmi
Limits: Journal of Mathematics and Its Applications Vol. 22 No. 2 (2025): Limits: Journal of Mathematics and Its Applications Volume 22 Nomor 2 Edisi Ju
Publisher : Pusat Publikasi Ilmiah LPPM Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/limits.v22i2.3469

Abstract

The price depression of the smartphone after it becomes used is one of the factors that consumers should consider when buying used smartphones. Therefore, accurate prediction of the price of used smartphones becomes a better insight into marketing strategies, and consumer purchasing decisions. The study aims to compare the performance of the Holt-Winters model damped, logistical decay, and exponential decay to predict the price depression of used smartphones. This research method uses historical data from some used smartphone prices as a basis for analysis. Comparisons between the three models were made to assess the performance of each in representing price depression behavior. Then, a statistical analysis was conducted to determine the most optimal model in predicting the price depression of used smartphones, the optimity of a model measured by the accuracy and speed of the computer performing the model execution. The accuracy measure in this study is the mean square error (MSE) value generated by a model with historical data alignment based on the ratio to the price when the smartphone has not been indicated as usable and the execution speed measure is the time it takes a computer to execute the model. The results show that the Holt-Winters damped model provides the most optimal predictive results compared to the exponential and decay models. This is demonstrated by the lower MSE average value twice as low as compared with the other two models, on the other hand, the holt-winters Damped has the weakness of requiring the longest average execution time of the three models with an average performance speed of 2.7 seconds, but the shortfall is not fatal because the predicted time period in this case is monthly so there is no urgency to advance the speed of seconds rather than accuracy.