Article Per Year (5 Year)
p-Index From 2021 - 2026
2.949
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering Jurnal Ilmiah Dinamika Rekayasa (DINAREK) JURNAL NASIONAL TEKNIK ELEKTRO Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) TESLA: Jurnal Teknik Elektro Jurnal Teknik Elektro dan Komputer TRIAC KURVATEK JMECS (Journal of Measurements, Electronics, Communications, and Systems) Indonesian Journal of Electrical Engineering and Computer Science Mattawang: Jurnal Pengabdian Masyarakat Journal of Applied Civil Engineering and Infrastructure Technology (JACEIT) Jurnal Pendidikan dan Teknologi Indonesia Engineering, Mathematics and Computer Science Journal (EMACS) JMES The International Journal of Mechanical Engineering and Sciences Darma Sabha Cendekia Jurnal Rekayasa elektrika RENATA Jurnal Pengabdian Masyarakat Kita Semua Journal of Infrastructure Policy and Management (JIPM)
Muhammad Syaiful Aliim
Teknik Elektro, Universitas Jenderal Soedirman, Indonesia
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Social Sciences Transportation Other

Published : 24 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 24 Documents
Search

 1   2   3 
Penilaian Efisiensi Aplikasi MPDM Calculator Dalam Pengukuran Produktivitas Method Productivity Delay Model Januardi, Redityo; Dewangga, Julian Pramudhita; Syaiful Aliim, Muhammad
Journal of Applied Civil Engineering and Infrastructure Technology Vol 6 No 1 (2025): Agustus 2025
Publisher : Indonesian Society of Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jaceit.v6i1.1041

Abstract

Technology can assist human needs in various sectors, including the construction sector. Its application has the opportunity to increase technical practicality, time, and cost efficiency, help speed up decision-making, and reduce the risk of errors. One challenge in construction implementation is the inadequate measurement of labor productivity and the lack of well-documented root causes, which can lead to delayed performance improvement decisions and incorrect conclusions. One effective method for productivity analysis is the MPDM (Method Productivity Delay Model), which can measure, predict, and improve productivity by identifying factors that cause delays. Currently, efforts have been made to digitalize part of the productivity measurement process of the MPDM method under the name MPDM Calculator Version 1.0. This application can be used for the data collection and processing stages of the MPDM method productivity calculation and is considered effective based on the same results as conventional methods. This study aims to determine and assess the efficiency of using the application in the process of calculating the productivity of the MPDM method. The results show that this application shortens the productivity measurement process significantly, where the test results for 2 case studies, obtained efficiency values of 153.2% and 156.1%. This application has the potential to be developed again in the process of analyzing productivity and recommending performance improvements to increase productivity. It is hoped that this application can answer the problem of using the MPDM method as one of the construction project control instruments.
Digital Measurement of the Construction Workers’ Performance through the Five-Minute Rating Method Januardi, Redityo; Aliim, Muhammad Syaiful; Rochman, Saeful
Journal of Infrastructure Policy and Management (JIPM) Vol. 8 No. 1 (2025): Journal of Infrastructure Policy and Management (JIPM)
Publisher : PT Penjaminan Infrastruktur Indonesia (Persero)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35166/jipm.v8i1.98

Abstract

The Five-Minute Rating method is a simplified approach used to measure workers’ performance based on time study principles, aimed to provide representative evaluations with minimal observation samples. However, its adoption in the construction industry remains low at only 6.4%, due to perceived impracticality and time-consuming implementation. A digital solution known as the Five-Minute Rating Solver (FMR-Solver), developed as an Android-based application, has been introduced. However, the practicality of its use and the efficiency of the measurement duration have yet to be studied. This study aims to measure the efficiency of the application tool in assessing worker effectiveness compared to using the conventional Five-Minute Rating method and to evaluate users’ perceptions of using the application. A case study was conducted during the installation of foundation reinforcement. The results show that the application tool can increase measurement efficiency by 22.6%. Evaluations by five users—based on criteria of stability, accuracy, understandability, operability, usefulness, and attractiveness—indicate validity scores ranging from 76.0% to 96.0%, falling within the categories of valid to very valid. The results suggest that the method offers a practical and effective alternative for construction workers’ performance and holds promise for wider industry adoption.
Link Budget Simulation and Analysis for Cambium Radio in Telkomsat Radio IP Service Warnadi, Marchellius Fernando; Aliim, Muhammad Syaiful; Amalia, Norma
JMECS (Journal of Measurements, Electronics, Communications, and Systems) Vol. 11 No. 2 (2024): JMECS
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jmecs.v11i2.8974

Abstract

The Final Project examines link budget calculations for Cambium brand radio devices using Link Planner to support Telkomsat’s transition from partner-managed to self-managed Radio IP services. A successful transition requires proper planning, including identifying equivalent radio devices and conducting link budget analysis. The process involves determining transmission distance, antenna height, and selecting suitable devices. Key parameters in the link budget calculation include Freznel Zone Clearance (FZC), Free Space Loss (FSL), Effective Isotropic Radiated Power (EIRP), Received Signal Level (RSL), System Operating Margin (SOM), Availibility (%), and Bandwidth (Mbps). Among 31 customers, 100% met standart EIRP values, 87% had good RSL, and 13% were very good. Additionally, 94% met SOM standards, while 6% fell into the poor category. Based on these result, it can be concluded that this research was successful, as the obtained result align with the established standards.
Mobile application for diagnosing alzheimer's based on clinical dementia rating Supriyanti, Retno; Putra Yubiksana, Muhammad; Mahardika Wijonarko, Bintang Abelian; Ramadhani, Yogi; Syaiful Aliim, Muhammad; Irham Akbar, Mohammad; Budi Widodo, Haris; Widanarto, Wahyu; Alqaaf, Muhammad
Indonesian Journal of Electrical Engineering and Computer Science Vol 40, No 3: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v40.i3.pp1607-1617

Abstract

Alzheimer's is a neurodegenerative disease characterized by memory loss, impaired thinking abilities, and changes in behavior. It is the most common form of dementia, significantly affecting a person's ability to carry out daily activities. Statistics indicate that the number of individuals suffering from Alzheimer's worldwide continues to rise as the population ages. Diagnosing Alzheimer's is a complex process that typically requires a skilled medical team. One diagnostic tool that can be utilized is an MRI machine. Previous research focused on extracting features from MRI images taken from three different cross-sections: axial, coronal, and sagittal. Based on these three types of cross-sectional images, we developed a system to classify the severity of Alzheimer's. This paper focuses on creating an Alzheimer's classification system accessible through a mobile application. The results indicate that our system has a performance accuracy of 90% in classifying the severity of the disease.
Co-Authors Akbar, Muhammad Irham Alqaaf, Muhammad ARDIANSYAH ARDIANSYAH Ari Fadli Asmoro Widagdo, Asmoro Azis Wisnu Widhi Nugraha Condro Kartiko Daniswara Sutarman, Muhammad Dewangga, Julian Pramudhita Eka Widyawati Eko Murdyantoro Gito Sugiyanto Gito Sugiyanto Hari Prasetijo Hari Siswantoro Hari Siswantoro, Hari Haris Budi Widodo Haris Budi Widodo, Haris Indra Permanajati, Indra Irham Akbar, Mohammad Januar Aziz Zaenurrohman Januardi, Redityo Mahardika Wijonarko, Bintang Abelian Mulki Indana Zulfa, Mulki Indana Norma Amalia, Norma Novanka Veldasari Nurul Latifasari Poppy Arsil Purnomo, Widhiatmoko Herry Putra Yubiksana, Muhammad Raka Firmansyah Retno Supriyanti Retno Supriyanti Rifda Naufalin Riyanto, Arif Pujo Rochman, Saeful RR. Ella Evrita Hestiandari Rumpoko Wicaksono Sugeng Waluyo Taryana, Acep Trishardian, Rachmat Wahyu Widanarto, Wahyu Wardhana, Arief Wisnu Warnadi, Marchellius Fernando Widhiatmoko Herry Purnomo Winasis Winasis Winasis Winasis Yogi Ramadhani Yogi Ramadhani