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All Journal TRIHAYU: Jurnal Pendidikan Ke-SD-an Jurnal Teknik Informatika (JUTIF) eProceedings of Management Mujahada : Jurnal Pengabdian Masyarakat jabdimasunipem
Adi Nugroho, Irfan
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Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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NILAI-NILAI KARAKTER DALAM BUKU TEKS SEKOLAH DASAR KELAS RENDAH Nartani, C. Indah; Adi Nugroho, Irfan
TRIHAYU: Jurnal Pendidikan Ke-SD-an Vol 8 No 2 (2022): TRIHAYU: Jurnal Pendidikan Ke-SD-an
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/trihayu.v8i2.11842

Abstract

The study aims 1) describe character values in low-grade elementary school textbooks; 2) describe the strategy of presenting character values contained in low-grade elementary school textbooks. Expected out of the study are research reports relating to character values in low-grade elementary school textbooks and publications in scientific journals. The research method used is a qualitative descriptive method with the researcher as a key instrument. Data collection is done by the listening-note method. Data analysis is qualitatively descriptive. The object of the research is the textbook of elementary school issued by Kemendikbud and Erlangga. Data analysis includes data reduction, data presentation, data verification, and triangulation. This research cover is a scientific article to be published in nationally accredited scientific journals 3-6 and the proceedings of international seminars. The level of technological maturity (TKT) of this research is included at level 1, which is the basic principle of the techniques studied. The results showed that almost all character grades appeared in low-grade elementary school textbooks. The strategy of presenting character values through reading text and various tasks.
Pemberdayaan Ekonomi Berbasis Home Industry untuk Meningkatkan Kesejahteraan Ibu Rumah Tangga di Desa Karangpatihan Mujahidin, Gusrijal; Adi Nugroho, Irfan
MUJAHADA: Jurnal Pengabdian Masyarakat Vol. 2 No. 2 (2024): MUJAHADA: Jurnal Pengabdian Masyarakat
Publisher : STAI Terpadu Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54396/mjd.v2i2.1689

Abstract

Economic empowerment based on home industry is an effort to improve the welfare of housewives in Karangpatihan Village. This study aims to analyze the impact of this economic empowerment program on income, skills, and long-term changes in family economy. The method used is a Participatory Action Research (PAR) approach with the implementation of entrepreneurship training for local housewives. The results of the study indicate that the program successfully increased the income of housewives through more organized and productive home-based businesses. In addition, their skills in running independent businesses significantly improved. In the long term, this empowerment has led to better family financial management and increased female participation in economic decision-making within the household. This empowerment program has made a significant contribution to the economic resilience of families in Karangpatihan Village
eran Perceived Value Sebagai Variabel Mediasi Terhadap Purchasing Decision Di E- Commerce Shopee: Studi Empiris Pada Generasi Z Adi Nugroho, Irfan; Hartanto, Prasetyo; Maulidina Hidayat, Chusnul
eProceedings of Management Vol. 12 No. 4 (2025): Agustus 2025
Publisher : eProceedings of Management

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

Abstract

Perkembangan e-commerce telah mendorong Generasi Z untuk semakin aktif dalam berbelanja secara daring, khususnya melalui platform Shopee. Penelitian ini bertujuan untuk menganalisis pengaruh brand trust dan online customer review terhadap purchasing decision, dengan perceived value sebagai variabel mediasi. Penelitian ini menggunakan pendekatan kuantitatif dengan metode survei terhadap 330 responden Generasi Z yang aktif melakukanpembelian di Shopee. Analisis data dilakukan menggunakan metode Partial Least Squares Structural Equation Modeling (PLS-SEM). Hasil penelitian menunjukkan bahwa brand trust tidak memiliki pengaruh langsung yang signifikan terhadap purchasing decision, namun berpengaruh signifikan terhadap perceived value dan secara tidak langsung memengaruhi purchasing decision melalui variabel tersebut. Sementara itu, online customer review berpengaruh signifikan baik secara langsung terhadap purchasing decision maupun melalui perceived value sebagaimediator. Selain itu, perceived value terbukti memiliki peran penting dalam mendorong purchasing decision. Secara simultan, brand trust dan online customer review berkontribusi secara tidak langsung terhadap purchasing decision melalui penguatan perceived value, yang mempertegas peran sentral persepsi nilai dalam proses pengambilan purchasing decision di kalangan konsumen Generasi Z pada platform e-commerce.Kata Kunci- Perceived value, Brand trust, Online customer review, Shopee, Generasi Z
The SOSIALISASI MENGEMBANGKAN BISNIS LOKAL DENGAN DIGITAL MARKETING DI DUSUN KLEMBON: Sosialisasi Mengembangkan Bisnis Lokal Dengan Digital Marketing Di Dusun Klembon Setiawan, Budi; Supardin, Lalu; Adi Nugroho, Irfan; Azwar
Jurnal Abdimas Universitas Insan Pembangunan Indonesia Vol. 3 No. 2 (2025): Agustus
Publisher : LPPM Universitas Insan Pembangunan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58217/jabdimasunipem.v3i2.87

Abstract

Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan pengetahuan dan ketrampilan pelaku usaha dalam memanfaatkan teknologi digital untuk memperluas jangkauan pasar dan meningkatkan daya saing produk lokal. Dalam kegiatan ini menggunakan metode sosialisasi berupa ceramah dan diskusi kepada masyarakat khususnya pelaku usaha. Kegiatan ini dilaksanakan pada tanggal 12 Agustus 2024 di Aula TPQ Masjid Al-Falah RT. 07 Klembon , Trirenggo, Bantul. Program ini fokus pada pengenalan dan pelatihan penggunaan media sosial dan e-commerce untuk meningkatkan visibilitas dan jangkauan pasar. Dengan memanfaatkan digital marketing, diharapkan pelaku usaha lokal dapat mengoptimalkan promosi produk, meningkatkan keterlibatan pelanggan, dan memperluas akses pasar yang lebih luas.
Comparative Evaluation of ARIMA, LSTM, Hybrid ARIMA-GARCH, and Hybrid GARCH-LSTM Models for Daily Bitcoin and Gold Price Forecasting Nurul Fatatik, Isna; Nur Fadhilah, Asyifa; Adi Nugroho, Irfan; Muflih Affandi, Muhammad; Diah Novita Sari, Vriska; Zuhdi, Shaifudin
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 3 (2026): JUTIF Volume 7, Number 3, June 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.3.5555

Abstract

The volatile nature of digital financial markets poses major challenges for predictive modelling, particularly in developing accurate forecasting models that can address diverse asset characteristics such as Bitcoin, with its extreme fluctuations, and Gold, which is known for its stable movements. This study addresses this challenge by evaluating the robustness of linear, deep learning, and hybrid architectures in both high-volatility and stable asset environments. Utilizing Bitcoin and Gold closing price data from 2022 to 2025, the methodology adopts a comparative workflow that involves ARIMA, ARIMA-GARCH, LSTM, and LSTM-GARCH Hybrid models. Stationarity (ADF) and heteroskedasticity (ARCH-LM) diagnostics alongside AIC/BIC selection criteria were applied, followed by a walk-forward validation scheme to assess the model's performance. Results confirmed that the hybrid GARCH-LSTM model delivered the lowest Root Mean Squared Error (RMSE), significantly outperforming single models by integrating statistical variance and temporal neural learning. Therefore, this study contributes to the field of computational intelligence by validating an accurate Artificial Intelligence (AI) framework for volatility-based forecasting and proposing a scalable blueprint for engineers to develop models that are capable of capturing the dynamics of financial time series data.
Co-Authors Azwar Budi Setiawan Chusnul Maulidina Hidayat Diah Novita Sari, Vriska Muflih Affandi, Muhammad Mujahidin, Gusrijal nartani, C. indah Nur Fadhilah, Asyifa Nurul Fatatik, Isna Prasetyo Hartanto Supardin, Lalu Zuhdi, Shaifudin