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All Journal G-Tech : Jurnal Teknologi Terapan Jurnal Teknik Industri Terintegrasi (JUTIN) Jurnal Abdi Masyarakat Indonesia Jurnal Manajemen Perbankan Keuangan Nitro Journal of Artificial Intelligence and Digital Business
Muhammad Zeinny, Muhammad Zeinny Hasbunallah Sasmita
Unknown Affiliation
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering Public Health

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Peningkatan Kapasitas UMKM dalam Mengelola Keuangan melalui Literasi Keuangan dan Digitalisasi Bisnis Aulia, Dita; Sasmita, Muhammad Zeinny Hasbunallah; Irsyadi, Muhammad Tegar; Sandy, Sofyan; Daverley Zuhry, Arvel
Jurnal Abdi Masyarakat Indonesia Vol 5 No 3 (2025): JAMSI - Mei 2025
Publisher : CV Firmos

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54082/jamsi.1795

Abstract

Usaha Mikro, Kecil, dan Menengah (UMKM) memiliki peran vital dalam mendorong perekonomian serta menciptakan lapangan kerja di suatu daerah, bahkan bagi perekonomian negara. Peningkatan Kapasitas UMKM dalam Mengelola Keuangan melalui Literasi Keuangan dan Digitalisasi Bisnis adalah sebuah kegiatan pengabdian masyarakat yang bertujuan untuk memberikan pelatihan kepada pelaku usaha mikro, kecil, dan menengah (UMKM) terkait dengan pengelolaan keuangan yang lebih baik melalui penerapan literasi keuangan serta pemanfaatan teknologi digital. Melalui literasi keuangan yang baik, UMKM dapat memahami konsep dasar keuangan seperti pencatatan transaksi, analisis pendapatan, serta penghitungan laba rugi. Digitalisasi bisnis, di sisi lain, membuka peluang bagi UMKM untuk menggunakan teknologi, seperti aplikasi keuangan dan platform digital lainnya, untuk mempermudah pengelolaan keuangan dan meningkatkan efisiensi operasional. Pelatihan ini akan memberikan panduan praktis kepada pelaku UMKM tentang bagaimana menggunakan berbagai alat digital untuk mencatat, menganalisis, dan merencanakan keuangan bisnis mereka dengan lebih baik.
ANALISIS PENGARUH TINGKAT INFLASI TERHADAP PENGHIMPUNAN ZIS BAZNAS TAHUN 2005 - 2015: PENGARUH TINGKAT INFLASI TERHADAP PENGHIMPUNAN ZIS BAZNAS Muhammad Zeinny, Muhammad Zeinny Hasbunallah Sasmita
Jurnal Manajemen Perbankan Keuangan Nitro Vol. 8 No. 2 (2025): Volume 8, Nomor 2, July 2025
Publisher : LP2M IBK Nitro

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

Abstract

This study aims to analyze the effect of inflation levels on the collection of Zakat, Infaq, and Shadaqah (ZIS) by the National Amil Zakat Agency (BAZNAS) in Indonesia from 2005 to 2015. ZIS is a key source of funds for poverty alleviation, and understanding the factors that influence its collection is crucial for improving the efficiency of zakat management. The research employs a quantitative approach, utilizing time-series data of BAZNAS ZIS collections and inflation rates during the specified period. Using regression analysis, the study investigates the correlation between inflation rates and the fluctuations in ZIS collections, controlling for other economic factors such as GDP growth and unemployment. The findings suggest a significant negative relationship between inflation and ZIS collection, indicating that rising inflation decreases public contributions to zakat. This result underscores the need for strategic adjustments in zakat collection mechanisms during economic instability to ensure sustained financial support for the poor. The study provides valuable insights for policymakers and BAZNAS in optimizing ZIS collection amidst economic challenges
Pengaruh Akuntabilitas Terhadap Pengelolaan Dana Desa di Kecamatan Bantargadung Kabupaten Sukabumi Saprudin, Nandu; Sasmita, Muhammad Zeinny Hasbunallah
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 4 (2026): November - January
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i4.5284

Abstract

Penelitian ini bertujuan untuk menjelaskan gambaran akuntabilitas dan pengelolaan dana desa serta menganalisis pengaruh akuntabilitas terhadap pengelolaan dana desa di Kecamatan Bantargadung Kabupaten Sukabumi. Akuntabilitas dalam pengelolaan dana desa menjadi aspek penting untuk mewujudkan tata kelola pemerintahan desa yang transparan efektif dan bertanggung jawab kepada masyarakat. Penelitian ini menggunakan pendekatan kuantitatif dengan metode deskriptif verifikatif. Metode deskriptif digunakan untuk menggambarkan kondisi akuntabilitas dan pengelolaan dana desa sedangkan metode verifikatif digunakan untuk menguji pengaruh akuntabilitas terhadap pengelolaan dana desa secara empiris. Populasi penelitian meliputi seluruh desa yang berada di Kecamatan Bantargadung Kabupaten Sukabumi yang berjumlah tujuh desa. Teknik pengambilan sampel menggunakan non probability sampling dengan metode sensus sehingga seluruh anggota populasi dijadikan sebagai sampel penelitian. Pengumpulan data dilakukan melalui penyebaran kuesioner kepada aparatur desa yang terlibat langsung dalam perencanaan pelaksanaan dan pelaporan dana desa. Data yang terkumpul dianalisis menggunakan analisis statistik deskriptif dan analisis verifikatif. Hasil penelitian menunjukkan bahwa tingkat akuntabilitas dan pengelolaan dana desa berada pada kategori sangat baik. Selain itu hasil pengujian menunjukkan bahwa akuntabilitas berpengaruh positif terhadap pengelolaan dana desa di desa desa se Kecamatan Bantargadung Kabupaten Sukabumi. Temuan ini menunjukkan bahwa peningkatan akuntabilitas aparatur desa dapat mendorong pengelolaan dana desa yang lebih optimal berkelanjutan dan berorientasi pada kesejahteraan masyarakat. Hasil ini diharapkan menjadi referensi kebijakan pemerintah desa dalam meningkatkan kualitas tata kelola keuangan desa secara berkelanjutan nasional.
The Impact of Financing of the Agricultural Business by Sharia Bank and Work Motivation to Increase the Exchange Rate of Farmers in West Java Province Sasmita, Muhammad Zeinny Hasbunallah; Saprudin, Nandu
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 4 (2026): November - January
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i4.5333

Abstract

This quantitative study examines the impact of Islamic bank financing, social media marketing, and work motivation on farmers' exchange rates in West Java from 2017 to 2021. The farmer exchange rate, which measures purchasing power by comparing income to expenses, serves as the key welfare indicator (dependent variable). The research tests specific hypotheses using a conclusive design and a mixed-methods approach. Data collection combines secondary data on financing amounts from Islamic banks with primary data gathered via surveys and questionnaires. These instruments measure farmers' perceptions of social media advertising effectiveness and their levels of work motivation, ensuring representative and reliable inputs. The analysis employs a robust statistical procedure. After descriptive statistics, the data undergoes validity, reliability, and classical assumption testing. The core analysis uses multiple linear regression to measure the individual and combined influence of the three independent variables on changes in the exchange rate. The anticipated results are poised to contribute significantly to both theory and practice. Academically, the study integrates Islamic finance and digital marketing into agribusiness literature. Practically, it offers evidence-based insights. Islamic banks can optimize their agricultural financing and outreach, while local governments can formulate targeted policies to enhance sustainability and directly improve farmer prosperity in West Java.
Analisis Peramalan Permintaan pada Divisi Welding di PT Terang Dunia Internusa dengan Menggunakan Metode Single Moving Average Kusuma, Harun Indra; Darmono, Bambang; Mahera, Liza; Aulia, Dita; Irsyadi, Muhammad Tegar; Sasmita, Muhammad Zeinny Hasbunallah; Novalia, Femy
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 1 (2026): January
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i1.51624

Abstract

The bicycle manufacturing industry is a sector that continues to experience growth as public awareness of the importance of a healthy, environmentally friendly lifestyle increases, and interest in cycling grows. In the production process, the Welding Division plays a crucial role as it is responsible for assembling the main components of bicycles, namely the frame. This study focuses on demand forecasting in this division so that the company can determine production targets more accurately. The single moving average method was chosen as the forecasting technique because it is suitable for limited data conditions, both for production and sales needs. The researchers divided this method into three variations: forecasting with a 2-month, 3-month, and 4-month period. The analysis results showed that the 2-month single moving average method provided the most accurate results with a mean absolute percentage error of 28%, which is lower than the other methods. Overall, the average production in the Welding Division reached 54,050 units. 
Application of Holt’s Double Exponential Smoothing for Electrical Energy Demand Forecasting in an Assembly and Welding Manufacturing Facility Harun Indra Kusuma; Yulizan Rizki; Bambang Darmono; Liza Mahera; Dita Aulia; Muhammad Tegar Irsyadi; Muhammad Zeinny Hasbunallah Sasmita; Ruli Haris; Femy Novalia
G-Tech: Jurnal Teknologi Terapan Vol 10 No 2 (2026): G-Tech, Vol. 10 No. 2 April 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i2.9456

Abstract

This study aims to accurately forecast short-term electrical energy demand in a Jabodetabek industrial facility to support sustainable manufacturing and precise utility management. To address the highly dynamic and non-stationary nature of energy consumption, this research applied Holt’s Double Exponential Smoothing method. A 24-month historical dataset, spanning from January 2024 to December 2025, was analyzed to generate a six-month operational projection. Model performance was rigorously evaluated using Mean Absolute Deviation (MAD), Mean Square Error (MSE), and Mean Absolute Percentage Error (MAPE). The forecasting demonstrated outstanding predictive accuracy, yielding a MAPE of 1.26%, a MAD of 20,79, and an MSE of 690.40. The projection indicates a consistent linear escalation, with energy demand expected to reach 2.020,72 MWh by mid-2026.These findings confirm that Holt’s algorithm effectively captures underlying linear trends without seasonal behaviors. Integrating this precise mathematical model into standard procedures provides crucial early warning signals for capacity planning, mitigates utility shortages, and strongly supports the strategic mandate of green operations.
Co-Authors Aulia, Dita Bambang Darmono Daverley Zuhry, Arvel Dita Aulia Femy Novalia Irsyadi, Muhammad Tegar Kusuma, Harun Indra Liza Mahera Muhammad Tegar Irsyadi Novalia, Femy Ruli Haris Sandy, Sofyan Saprudin, Nandu Yulizan Rizki