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Pemberdayaan UMKM Roti Kukus Oh My Sharga Bread Melalui Penguatan Legalitas, Strategi Pemasaran Digital, Dan Tata Kelola Keuangan Berbasis SAK EMKM Silmi Silmi; Yurniwati Yurniwati; Verni Juita; Rahmat Kurniawan; Fitriyeni Oktavia; Kevry Ramdany; Nadya Putri Nasha; Alya Azilah Ardhani; Naufal Dwi Febiansyah
BULETIN ILMIAH NAGARI MEMBANGUN Vol. 8 No. 3 (2025)
Publisher : LPPM (Institute for Research and Community Services) Universitas Andalas Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/bina.v8i3.788

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play a strategic role in supporting national economic growth; however, many business actors still face challenges related to legality, marketing, and financial management, which affect their competitiveness. One MSME experiencing such issues is “Oh My Sharga Bread” steamed bread. This community service program aims to strengthen business legality, improve digital marketing strategies, and organize financial reporting based on the Micro, Small, and Medium Entity Accounting Standards (SAK EMKM). The mentoring activities included problem identification, technical guidance, facilitation of Business Identification Number (NIB) registration and halal certification, training in financial recording using the SIAPIK application, digital marketing assistance, and redesigning product packaging and logos. The results showed significant achievements: business legality was obtained, financial reports became more structured, and digital marketing expanded market reach. Sales turnover increased by 30%, the number of customers grew by 50 people, and social media engagement rose by 45%. The new packaging and logo design enhanced product image and consumer appeal. The impact of this program goes beyond solving technical problems; it also builds the partner’s capacity to compete in broader and sustainable markets. This activity contributes to achieving the Sustainable Development Goals (SDGs), particularly Goal 8 on decent work and economic growth. Therefore, this mentoring program effectively improves MSME competitiveness and serves as a participatory empowerment model that can be replicated.
SIGNIFIKANSI PERBEDAAN RESPON TIANG FONDASI ANTARA MODEL TERPISAH DAN SIMULTAN DALAM ANALISIS INTERAKSI STRUKTUR-TANAH: STUDI NUMERIK PADA GEDUNG C-D ITERA Aprilia, Ayu Sinta; Rahmat Kurniawan; Septian Hidayat; Ahmad Auliadi Y
Jurnal Teknik Gradien Vol 18 No 01 (2026): JURNAL TEKNIK GRADIEN (On progress)
Publisher : Fakultas Sains dan Teknologi Universitas Ngurah Rai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47329/teknikgradien.v18i01.1706

Abstract

Fondasi tiang pada bangunan bertingkat berperan kritis dalam mentransfer beban struktur ke lapisan tanah yang lebih dalam dan kompeten. Analisis interaksi struktur-tanah (Soil-Structure Interaction/SSI) merupakan aspek fundamental dalam desain fondasi, terutama di Indonesia yang merupakan kawasan rawan gempa dengan karakteristik tanah yang beragam, mulai dari lempung lunak hingga lempung kaku. Dalam praktik rekayasa geoteknik, terdapat dua pendekatan analisis yang umum digunakan, yaitu model terpisah (decoupled) dan model simultan (coupled). Meskipun keduanya telah banyak diterapkan, signifikansi praktis dari perbedaan respon yang dihasilkan kedua pendekatan tersebut belum banyak dikaji dalam konteks desain berbasis standar SNI. Penelitian ini menganalisis signifikansi perbedaan respon sistem fondasi tiang antara pendekatan model terpisah dan model simultan dalam analisis interaksi struktur-tanah. Studi numerik dilakukan pada Gedung C-D Institut Teknologi Sumatera yang merupakan bangunan 3 lantai dengan sistem fondasi tiang bor pada tanah lempung kaku. Analisis model terpisah menggunakan kombinasi software ETABS dan GROUP, sedangkan model simultan menggunakan ETABS terintegrasi dengan pemodelan soil spring nonlinear (p-y, t-z, dan q-z). Evaluasi dilakukan terhadap 10 konfigurasi pilecap dengan tiga kondisi pembebanan (statik, gempa nominal, gempa kuat) berdasarkan empat parameter utama: gaya aksial, momen lentur, gaya geser, dan defleksi lateral. Berbeda dengan studi sebelumnya yang hanya melaporkan selisih relatif, penelitian ini mengevaluasi signifikansi praktis menggunakan rasio pemanfaatan (utilization ratio). Hasil menunjukkan bahwa meskipun selisih relatif dapat mencapai ratusan persen pada parameter tertentu, perbedaan rasio pemanfaatan (ΔUR) umumnya berkisar 2-7% untuk konfigurasi pilecap sederhana dan 12-14% untuk pilecap multi-kolom. Kedua pendekatan menghasilkan desain yang memenuhi kriteria keamanan SNI 2847:2019 dan SNI 8460:2017. Pendekatan berbasis utilization ratio memberikan perspektif yang lebih bermakna dalam menilai signifikansi perbedaan metode analisis fondasi.
Comparative Assessment of Empirical Methods for Bored Pile Capacity Prediction Against Static Load Test Data in Indonesia Rahmat kurniawan; Chindy Akila; Rifky Fauzi; Ayu Sinta Aprilia; Yunita Asni; Ahmad Auliadi Y
Rekayasa Sipil Vol. 20 No. 2 (2026): Rekayasa Sipil Vol. 20 No. 2
Publisher : Department of Civil Engineering, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.rekayasasipil.2026.020.02.11

Abstract

Accurate estimation of the bearing capacity of bored-pile foundations is essential to ensure both the safety and cost-effectiveness of foundation design. However, empirical design formulas are derived from simplified assumptions and may not fully represent actual soil–pile behavior in the field, leading to overestimation or underestimation of capacity if their performance is not carefully evaluated. This study compares the predictive performance of three SPT-based empirical methods—Meyerhof (1976), Reese & Wright (1977), and O’Neill & Reese (1999)—against Static Load Test (SLT) results interpreted using the Davisson, Chin, and Mazurkiewicz methods. A database of 10 bored-pile projects from various regions across Indonesia was analyzed. Given the limited sample size (n = 10), all findings are presented as preliminary evidence rather than definitive conclusions, and statistical estimates carry substantial uncertainty that should inform interpretation. Statistical evaluation employed correlation analysis (r, R²), bias factor (?), coefficient of variation (COV), and mean absolute percentage error (MAPE). Results indicate that the O’Neill & Reese method demonstrates the strongest correlation with Davisson-interpreted SLT results (R² = 0.853), while the Meyerhof method yields a mean bias factor closest to unity (? = 1.00). A performance ranking matrix is informed by concepts commonly adopted in LRFD calibration studies. These results indicate that differences in predictive performance reflect how each empirical formulation represents field behavior and suggest differentiated use of methods depending on the design stage. However, recommendations require validation against larger databases before widespread adoption.
Spatial Autoregressive Model to Factors Poverty Gap Index in West Java, 2023 Rahmat Kurniawan; Figo Rahmatullah; Fauzan Gustiandra; Tessy Octavia Mukhti
UNP Journal of Statistics and Data Science Vol. 4 No. 1 (2026): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ujsds/vol4-iss1/471

Abstract

Spatial analysis is the analysis of data with spatial effects. The spatial autoregressive is used when the effect of the dependent variable at one location is influenced by the value of the dependent variable at nearby or neighboring locations. The spatial autoregressive model is more appropriate to model the factors influencing the poverty depth index in West Java in 2023. Based on the Spatial Autoregressive modeling, the variables that influence the Poverty Depth Index in West Java are Population Density, Open Unemployment Rate, and economic growth. The SAR modeling produces a higher coefficient of determination compared to the linear model, which is 68.88% with an AIC value of 18.6149.