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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.
Kepemimpinan Kepala Madrasah dan Efektivitas Pendidikan Islam di MTs Negeri 2 Majene Ainun, Qurrata; Juli Agustina H; Iqbal; Asraruddin; Kamus; Rahmat Kurniawan; Samsuddin
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 02 (2026): Volume 11 No. 2, Juni 2026 Publish
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i02.52084

Abstract

Penelitian ini dilatarbelakangi oleh pentingnya kepemimpinan dalam meningkatkan efektivitas pendidikan di lembaga pendidikan Islam. Tujuan penelitian ini adalah untuk menganalisis karakteristik kepemimpinan dan peran fungsi manajemen dalam meningkatkan efektivitas pendidikan di MTs Negeri 2 Majene. Penelitian menggunakan pendekatan kualitatif dengan jenis studi kasus. Subjek penelitian terdiri dari kepala sekolah, guru, dan tenaga kependidikan yang dipilih secara purposive. Teknik pengumpulan data dilakukan melalui observasi, wawancara mendalam, dan dokumentasi. Hasil penelitian menunjukkan bahwa kepemimpinan partisipatif dan komunikatif mampu menciptakan lingkungan kerja yang kondusif serta meningkatkan kinerja guru. Selain itu, penerapan fungsi manajemen yang sistematis berkontribusi terhadap peningkatan kualitas pembelajaran. Kesimpulan penelitian ini adalah bahwa sinergi antara kepemimpinan yang efektif dan manajemen yang optimal menjadi faktor utama dalam meningkatkan efektivitas pendidikan.
INSTRUMEN PENELITIAN: JENIS, PENYUSUNAN, DAN PERANNYA DALAM MENJAMIN KUALITAS DATA Rahmat Kurniawan; Lili Agustina; Sri Nilam Sari Hapil; Nurmupidah; Aan Setiawan
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 03 (2026): Volume 11 Nomer 03, September 2026 Publication
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i03.60105

Abstract

Research quality is largely determined by the quality of the research instruments used to collect data. In practice, many novice researchers and students construct instruments carelessly, merely copying templates without adapting them to their research variables, and often skip the try-out stage. This condition is reflected in a 2024 Populix survey of 2,793 final-year Indonesian students, in which 45% admitted to manipulating thesis data. This article aims to examine the definition, types, systematic steps of construction, and testing procedures of research instruments through validity and reliability tests. This study uses a descriptive qualitative approach through library research, collecting data from research methodology books and national and international journal articles on research instruments, validity, and reliability published between 2011 and 2024, analyzed through content analysis. The results show that research instruments are divided into two major types: quantitative instruments (questionnaires, measurement scales, and tests) and qualitative instruments (the researcher as the main instrument, supported by interview guides, observation guides, and documentation guides). The construction of a good instrument follows five systematic steps: defining variables, formulating indicators, developing a blueprint, writing items, and validating content through expert judgment. Furthermore, the feasibility of an instrument must be confirmed through validity testing (content, construct, and empirical validity) and reliability testing (Cronbach's Alpha, KR-20, and KR-21). This article is expected to serve as a practical guide for novice researchers in constructing valid and reliable research instruments
Co-Authors Aan Setiawan Abdu Rohman Zay Damanik Adilman Harefa Aditya Ayuwulanda Agus Susanto Ahmad Auliadi Y Ahmad Ufi Amrullah Ahmad Zulkifli Ainun, Qurrata Akbar Fauzan Aruan Alya Azilah Ardhani Andi Zulfikar Alam Annissa Deffira Ardyn Sari Sinaga Aries Tanno Asraruddin Aura Fajra Ayu Sinta Aprilia Azhar Azhar Bungaini Chindy Akila Cindy Moyna Clara L. A. Dahly Sukmapryandhika Delya Nabilla Umairoh Demi Dama Yanti Desi Elviani Dian Hastari Agustina Dina Khairina Eko Prasojo Elvira Luthan Erdina Tyagita Utami Fardedi Fauzan Gustiandra Fauzan Misra Figo Rahmatullah Fitriyeni Oktaviani Hary Yanto Jailani Hermanto Hermanto I Putu Mahendra Ilmainir, Ilmainir Indri Astuti Maulana Intan Salsabila Iqbal Irvan Malay Jonhar Jonhar Jozua Ferjanus Palandi Juli Agustina H Kamus Kevry Ramdany Kusumasari, Adita Ayu Leni Mardiani Lili Agustina Lukman Munawar Fauzi Mazelfi, Ihsani Mela Rahmah Mismawarni Srima Ningsih Muhammad Abrar Kasmin Hutagalung Mulfi Hazwi Nadia Khaira Ardi Nadya Putri Nasha Naufal Dwi Febiansyah Nikma Ramadhani Nila Gemala Nurmupidah Nurpiati Nurwijayanti Oktabriana, Giska Puri Pratami Ardina Ningrum Raden Soedradjad Rani Nasution Rifky Fauzi Sabrina Fitria Anwar Samsuddin Satriyo Prasetyo Utomo Silmi Silmi Simbolon, Ryanna Nathania Sitepu, Arif Rahman Hakim Sri Nilam Sari Hapil Sri Riski Wulandari Subari Syafrison Syahidus Syuhada Syahril Ali Tessy Octavia Mukhti Tuta, Gabriell Vannes Sabat Verni Juita Widya Alvina Cerasa Yunita Asni Yurniwati Yurniwati Zaenal Arifin Zubaidah