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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) Bulletin of Social Informatics Theory and Application Prosiding Seminar Nasional Rekayasa dan Teknologi (TAU SNAR- TEK) INTER TECH
Alim, Syariful
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Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Social Sciences

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Decision Support System for Volunteer Selection for Archipelago Marine Volunteers (Rapala) Using the Profile Matching Method Hozairi; juhairiyah; Makruf , Masdukil; Alim, Syariful
Bulletin of Social Informatics Theory and Application Vol. 8 No. 1 (2024)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v8i1.620

Abstract

This study aims to develop a Decision Support System (DSS) for selecting candidates for Archipelago Sea Rangers Volunteers (RAPALA) using the profile matching method. Bakamla RI, as an institution responsible for maritime security in Indonesian territorial waters, requires prospective RAPALA volunteers who are qualified and have the appropriate competence to protect the archipelago's seas, which are increasingly threatened. In this study, a decision support system was developed that can compare the profiles of prospective volunteers with predetermined criteria. This system aims to improve efficiency and accuracy in the selection process for volunteer candidates, as well as strengthen selection criteria and methods based on appropriate profiles. To create a decision support system, the profile matching method is used. Profiles of prospective volunteers are assessed based on factors such as intelligence, work attitude, behavior, and domicile. This study shows that the RAPALA-1 candidate is ranked first with a score of 4.76, the RAPALA-2 candidate is ranked second with a score of 4.49, and the RAPALA-3 candidate is ranked third with a score of 4.26. It is hoped that with this decision-support system, the selection process for RAPALA volunteer candidates can be carried out more efficiently and objectively. The selected volunteer candidates are expected to have the right skills and motivation to maintain the security and preservation of the archipelago's seas. This will contribute to increasing the security and sustainability of marine resources in Indonesia.
Uncovering Blockchain's Potential for Supply Chain Transparency: Qualitative Study on the Fashion Industry Hindarto, Djarot; Alim, Syariful; Hendrata, Ferial
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 2 (2024): Article Research Volume 8 Issue 2, April 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i2.13590

Abstract

With the capacity to increase security and transparency, blockchain technology is being used as an interesting subject of investigation in the fashion industry. This underscores the importance of this current research endeavour. In terms of supply chain transparency, the fashion industry faces considerable barriers, thus requiring new approaches such as blockchain that can address issues such as child labour, unethical payment practices, and environmental impact. Main objective of this research is to identify how blockchain technology can improve transparency, accountability, and compliance with ethical standards. However, knowledge of the specific ways in which blockchain technology can improve transparency in the fashion supply chain, including the drivers and barriers, needs to be improved. The research method is described through a qualitative approach that includes in-depth interviews, participatory observation, and document analysis to collect data from various stakeholders in the industry, including manufacturers, distributors, and consumers. Explanation provides an overview of how the researcher collected and analysed data to achieve the research objectives. Blockchain increases transparency through the provision of verifiable and durable product records and fosters consumer-brand trust. Blockchain facilitates accountability and compliance with environmental and ethical standards, according to key findings. Research detected significant barriers, including exorbitant costs for implementation, limited knowledge of technology, and difficulties in fostering collaboration among relevant parties. Results of this study have far-reaching consequences, providing valuable insights to fashion industry stakeholders on how to overcome barriers to blockchain adoption. Long-term benefits of enhanced supply chain transparency and strategic recommendations ensure a smooth implementation process.
PERAMALAN VOLUME PENJUALAN TABUNG APAR (ALAT PEMADAM API RINGAN ) DENGAN MENGGUNAKAN METODE MONTE CARLO (Studi Kasus : PT Sanindo Perkasa Abadi) Abror, Akhdan; Nurul Hamidah, Mas; Alim, Syariful
Prosiding TAU SNARS-TEK Seminar Nasional Rekayasa dan Teknologi Vol. 4 No. 1 (2024): Prosiding TAU SNARS-TEK Seminar Nasional Rekayasa dan Teknologi 2024
Publisher : Fakultas Teknik dan Teknologi - TANRI ABENG UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47970/snarstek.v2i1.712

Abstract

Forecasting is the art and science of predicting future events. In this research the author uses sales volume forecasting using the Monte Carlo method. This case study is at one PT Sanindo Perkasa Abadi. The problem that is often experienced by PT Sanindo Perkasa Abadi is the excess and shortage or supply of APAR tubes (light fire extinguishers) at certain times which causes reduced income. With these problems, careful planning is needed to be able to estimate the inventory of goods so that it does not result in reduced income for the Company. The method used is Monte Carlo simulation. This method uses a probabilistic approach so that it is able to consider uncertainty. Demand forecasting is carried out for twelve months and uses historical data on actual demand in 2019 and 2022. The calculation results are that for the prediction of the AF11E 3kg fire extinguisher in 2021, the accuracy is 28.67% and the MAE error value = 19.692, the prediction for the AF11E 6kg fire extinguisher in 2020 is accurate. 40.75% and the MAE error value = 10,583, for the prediction year for the 6kg AF11E fire extinguisher in 2021, the accuracy was 47.50% and the MAE error value = 3,833, for the prediction year for the AF31 3kg fire extinguisher in 2020, the accuracy was 48.67% and the MAE error value = 4,750, for the prediction year for the AF31 6kg fire extinguisher in 2019, the accuracy was 47.75% and the MAE error value = 5,583, and for the prediction year for the AF31 6kg fire extinguisher in 2021, the accuracy was 46.83% and the MAE error value = 7,750.
Analisis Performa Saham dengan Simple Moving Average pada 10 Emiten Transportasi Laut Indonesia Yang Terdaftar di IDX Alim, Syariful
Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) Vol 5 No 2 (2024): Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) Oktober 2024
Publisher : Fakultas Teknik Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/jatim.v5i2.3199

Abstract

Penelitian ini bertujuan untuk menganalisis performa saham 10 emiten sektor transportasi laut Indonesia menggunakan indikator teknikal Simple Moving Average (SMA) 5 hari dan 10 hari, dengan data yang diambil dari Yahoo Finance untuk periode Januari 2017 hingga Desember 2022. Program yang dikembangkan menghitung dan memvisualisasikan harga penutupan saham, return harian, cumulative return, serta return bulanan dari masing-masing emiten. Hasil analisis menunjukkan bahwa pergerakan harga saham dapat dianalisis melalui grafik SMA yang memperlihatkan tren jangka pendek dan menengah. Program ini juga menghasilkan grafik return harian yang menunjukkan fluktuasi harga saham per emiten, serta cumulative return yang menggambarkan total hasil investasi selama periode yang dianalisis. Rata-rata return bulanan memberikan wawasan tentang potensi keuntungan yang diharapkan oleh investor. Temuan ini memberikan kontribusi penting dalam pengambilan keputusan investasi di sektor transportasi laut Indonesia, dengan menggunakan indikator SMA sebagai dasar analisis teknikal dalam evaluasi saham.
Tinjauan Integrasi Teknologi Deep Learning Untuk Revolusi Industri Dalam Sistem Siber-Fisik Zainal, Rifki Fahrial; Alim, Syariful; Arizal, Arif; Purnama, Rangsang
INTER TECH Vol 3 No 1 (2025): INTER TECH
Publisher : Fakultas Teknik Universitas Bhayangkara Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/i.v3i1.1266

Abstract

An important development in industrial automation is the combination of deep learning with cyber-physical systems (CPS), which allows systems to make data-driven, intelligent decisions with little assistance from humans. With an emphasis on its capacity to handle massive amounts of data for tasks including object detection, semantic segmentation, predictive maintenance, and autonomous control, this research investigates the revolutionary effects of deep learning on CPS. It looks at how technology has developed from early frameworks that relied on visual cues to complex systems that use cutting-edge neural networks that can function in dynamic, unstructured contexts. The study also emphasizes how important it is to integrate ethical frameworks, organizational preparedness, and human-centered design in order to successfully implement CPS. This study analyzes important trends, obstacles, and best practices that influence the application of deep learning in CPS through an extensive examination of recent literature. The significance of CPS in facilitating the Industry 4.0 and Industry 5.0 paradigms—which prioritize sustainability, human-machine collaboration, and real-time adaptation in industrial processes—is given particular attention.
Co-Authors Abror, Akhdan Arif Arizal, Arif Hendrata, Ferial Hindarto, Djarot Hozairi Juhairiyah Masdukil Makruf, Masdukil Nurul Hamidah, Mas Rangsang Purnama Rifki Fahrial Zainal