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Strategi Peningkatan Kesadaran Data dan Informasi Masyarakat di Era Digital Syahputra, Rizki Agam; Octaviana Maliza, Noer; Kasmawati, Kasmawati; Aulia Putri, Cut Widy
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 5 No. 3 (2024): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN) Edisi Mei- Agustus
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v5i3.3543

Abstract

Di era digital yang semakin terkoneksi, akses terhadap informasi menjadi lebih mudah. Namun, tantangan baru muncul terkait kesadaran data dan informasi di masyarakat. Era digital menciptakan lautan informasi tak terbatas dengan jumlah data yang meningkat eksponensial. Kurangnya kesadaran dapat mengakibatkan kesulitan membedakan informasi yang sahih dari yang palsu, serta rentan terhadap penyebaran informasi palsu. Peran teknologi media sosial memperumit dinamika informasi, menjadi platform utama berbagi informasi dan mendukung perkembangan bisnis. Pandemi COVID-19 merubah tata kelola aktivitas sehari-hari yang sangat bergantung pada ekosistem digital. Kesadaran data dan informasi berdampak pada aspek sosial, ekonomi, dan politik. Strategi pendidikan masyarakat penting untuk meningkatkan kesadaran data dan informasi. Melalui pemahaman lebih baik, strategi pendidikan dapat membantu masyarakat menghadapi tantangan informasi di era digital ini dengan lebih baik. Kegiatan pengabdian tersebut dilaksanakan pada 16 September 2023, yang dilaksanakan melalui kerjasama dengan Integrated School di Aceh Besar, Prov. Aceh, Indonesia. Pengabdian masyarakat ini dilakukan dengan metode workshop yang disertai studi kasus dalam persiapan menghadapi disinformasi.  Hasil yang diperoleh pada pengabdian diketahui bahwa masih minimnya literasi digital yang dimiliki oleh masyarkat, dan dengan adanya kegiatan ini diharapkan mampu meningkat kesadaran dan kewaspadaan dalam dunia digital.
Designing a University Batik Motif Based on User Preferences using Conjoint Analysis Zuhri, Sarika; Erwan, Friesca; Ilyas, Ilyas; Suhendrianto, Suhendrianto; Syahputra, Rizki Agam; Cleopatra, Ratu
Dinamika Kerajinan dan Batik: Majalah Ilmiah Vol. 40 No. 2 (2023): DINAMIKA KERAJINAN DAN BATIK : MAJALAH ILMIAH
Publisher : Balai Besar Standardisasi dan Pelayanan Jasa Industri Kerajinan dan Batik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22322/dkb.v40i2.8042

Abstract

Batik is one of Indonesia favourite outwears and generally used in formal and semiformal events. This study aims to obtain a university batik motif based on its user preferences, which involving Acehnese motif. This study used stratified random sampling technique to determine 186 batik users who involved as the respondent of this study. The users contributed their perspectives by filling up two steps of questionnaire. The first questionnaire aims to identify user preferences on the design attributes, which consist of logo, the position of logo, Aceh batik motif, fabric basic colour, batik motif colour, and additional batik motif. The second questionnaire aims to obtain the most preference of batik design according to the combination of the attributes. Data obtained from the questionnaires will be analysed using conjoint analysis through SPSS® 22 This study revealed 16 combinations of batik design based on user preferences and the main important attribute in choosing the design was the position of the university logo. Amongst the 16 combinations of batik design, one design shows significant utility value as of 0.543 and determine as the most preferable design chosen by the university batik users.  
Structural Equation Modeling Analysis of Purchase Behavior of Halal Products Zuhri, Sarika; Ilyas, Ilyas; Erwan, Friesca; Syahputra, Rizki Agam; Sentia, Prima Denny; Noprita, Zikra
Indonesian Journal of Halal Research Vol. 5 No. 1 (2023): February
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/ijhar.v5i1.20170

Abstract

Indonesia is renowned for being home to the largest Islamic population globally, but the absence of a halal certification logo on products continues to be a cause for concern. For Muslim customers, their basic knowledge of halal ingredients written on the product is the only guide they can be relied on. Hence, it is crucial to understand the essential factors that influence their purchasing behavior regarding halal-certified products. This study uses the Theory of Planned Behavior (TPB) to examine Muslim customers' behavior, as a case study, in Banda Aceh. The TPB questionnaire, including attitude, subjective norm, perceived behavioral control, and purchase intention attributes, was distributed online to respondents in the Banda Aceh area using non-probability random sampling. Through Structural Equation Modeling (SEM) methodology and AMOS software, this research reveals a strong correlation between attitude and subjective norm with Muslim customers' purchasing intention. Moreover, purchasing intention shows a strong relationship with purchasing behavior. Consequently, attitude, subjective norm, and customers' intention are the critical factors that influence Muslim customers' behavior when purchasing halal-certified products in Indonesia.
GIS-based hybrid AHP–random forest model for optimal waste transfer station siting: A case study Rizki Agam Syahputra; Sofiyanurriyanti Sofiyanurriyanti; Kasmawati Kasmawati; Risnadi Irawan; Mustafa Kamal; Putri Sarina Agustavia
Journal Industrial Servicess Vol 12, No 1 (2026): April 2026
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v12i1.34731

Abstract

Rapid urbanization and post-disaster recovery in developing cities present significant challenges for municipal solid waste management, escalating operational costs and environmental burdens. The primary logistical bottleneck is often the inefficient placement of intermediate waste infrastructure. This study addresses this gap by proposing and validating a novel hybrid spatial decision support framework for the optimal siting of Temporary Waste Transfer Stations (TWTS) in Meulaboh, Indonesia. The framework integrates a Geographic Information System (GIS) with the Analytic Hierarchy Process (AHP) and a Random Forest (RF) machine learning model. AHP structures the problem using expert knowledge and local regulatory standards to generate an initial suitability map. To overcome AHP's linearity and subjectivity, this map generates pseudo-labeled data to train the RF model, which learns complex, non-linear relationships among spatial factors. The RF model demonstrated exceptional performance with an Area Under the Curve (AUC) of 0.96. The framework evaluated 43 villages (Gampong), identifying specific areas in Meureubo and Johan Pahlawan as top candidates due to favorable land use and proximity to road networks. This hybrid approach offers a robust, transparent, and scalable methodology for post-disaster urban infrastructure planning.
Analisis Sistem Antrian pada Proses Penimbangan dan Sortasi TBS di PT RKM Iing Pamungkas; Heri Tri Irawan; Mahmud Basuki; Rizki Agam Syahputra; Viktor Mawar Berutu
Jurnal Industri dan Inovasi (INVASI) Vol 4, No 1 (2026): Maret
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/invasi.v4i1.13352

Abstract

Within the palm oil industry, the process of weighing and sorting Fresh Fruit Bunches (FFB) at the beginning of the supply chain is crucial for determining the price and quality of palm oil. However, PT RKM, a palm oil processing company in Aceh Singkil, faces challenges such as potential inaccuracies in weight measurement, quality classification, and long queues that can reduce operational efficiency. These issues have the potential to cause financial losses and production delays. The objective of this study is to measure and analyze the queuing system in the FFB weighing and sorting process at PT RKM. This research uses a queuing model approach to evaluate the current system's efficiency. Data were collected through direct observation and interviews, with 30 samples of truck arrival and service times. The analysis method used includes creating an Activity Cycle Diagram (ACD), calculating the average inter-arrival and service times, and determining system performance metrics such as average waiting time and server idle percentage.The results of the study show that the PT RKM queuing system operated optimally on the day of observation. The average queue waiting time was zero, and the percentage of idle servers (weighing facilities) was also zero. This indicates that the current service capacity is adequate for the volume of vehicle arrivals, thereby minimizing losses and improving overall productivity.