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All Journal The IJICS (International Journal of Informatics and Computer Science) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Informatics Management and Information Technology Journal of Social Responsibility Projects by Higher Education Forum
Dodi Siregar
Universitas Harapan Medan, Medan
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Social Sciences

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Alat Pemberi Pakan Udang dan Pemantau Kekeruhan Air yang Dilengkapi dengan Filter Air dan Sistem Penggantian Air Menggunakan WeMos D1 R1 Berbasis Internet of Things Alwi Ristanta; Abdul Jabbar Lubis; Risko Liza; Dodi Siregar
Journal of Informatics Management and Information Technology Vol. 1 No. 3 (2021): July 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v1i3.125

Abstract

In a shrimp farming area, several things appear. Where shrimp farming jobs still use traditional methods or work manually so they need a lot of time. Shrimp farming is an entrepreneur with long production results, so hereby collect some of the main problems experienced by shrimp farmers. The author conducts research to support businesses to operate effectively, efficiently and practically. It is known that shrimp farmers have little difficulty in maintaining feed. Therefore, the authors designed a feeder and water turbidity monitor that can work automatically based on the feeding schedule and the level of water turbidity. This shrimp feeder and water turbidity monitor uses the WeMos D1 R1 microcontroller which is the main control center, uses the Blynk application to control the tool, and uses servo motors, sensors, filters and other components. By using these components and some software that supports the tool, shrimp feeders and water turbidity monitors can work automatically according to a predetermined schedule, and are able to send notifications to Blynk when the tool finishes the work process
Analisis Perbandingan Akurasi Pre-Trained Convolutional Neural Network Untuk Klasifikasi Kelompok Usia Pengunjung Rumah Sakit Arnes Sembiring; Sayuti Rahman; Dodi Siregar; Muhammad Zen; Suriati Suriati
Journal of Information System Research (JOSH) Vol 4 No 2 (2023): January 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v4i2.2913

Abstract

Children are not allowed to visit the hospital. Children should not visit the hospital for two reasons, namely the patient's side and the child's side. On the patient's side, patients need peace of mind during treatment and recovery. The noise generated by children makes the atmosphere not conducive and increases the patient's stress level. On the child's side, there are two factors, namely immunity, and trauma. Children have incomplete immunity so they are easily infected by viruses and bacteria. A child's immune disorder will harm the child's development. Apart from viruses and bacteria, in hospitals, there are also patients with major injuries such as those resulting from accidents. Children who see these large wounds can traumatize themselves and interfere with the child's growth and development. The age classification of visitors supports for hospital management to limit visitors based on age. Visitors categorized as children are visitors aged 12 years or younger. The method used for age group classification is the pre-trained CNN, including Alexnet, VGGNet, GoogleNet, ResNet, and AqueezeNet. We conducted a preliminary study using the All-Age-Faces (AAF) dataset as test data that represents the age of hospital visitors. The dataset is divided into two classes, namely children and adults. Based on the SqueezeNet test, it is a better method in terms of training accuracy and validation. Based on the order of accuracy validation, SqueezeNet succeeded in recognizing age groups with an accuracy of 93.09%, VGGNet 92.72%, AlexNet 91.44%, GoogleNet 90.92%, and ResNet 90.62%. This research is expected to contribute to helping control visitors to the hospital.
Decision Support System in the Best Selection Coffee Shop with TOPSIS Method Reflan Revife Purba; Mesran Mesran; Mohammad Taufan Asri Zaen; Setiawansyah Setiawansyah; Dodi Siregar; Erlin Windia Ambarsari
The IJICS (International Journal of Informatics and Computer Science) Vol 7, No 1 (2023): March 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v7i1.6157

Abstract

The development of business opportunities in today's era brings many benefits as well as in coffee shops. Coffee Shop is a place to relax or gather with friends, family to release boredom, after daily activities, and Coffee shop enthusiasts are quite well known both from teenagers to parents, where coffee shop fans must have an ability to visit the coffee shop. This research has a goal to generate a decision support system (DSS). Which is where the decision support system (DSS) has utility as a tool to make the best coffee shop decisions overall. By setting the TOPSIS (Technique For Order Preference By Similarity To Ideal Solution) method by getting the preference value as the first rank. So with this, the best coffee shop is found in alternative A04 with the highest score of 0.9911 on behalf of Arata Coffee
Enhancing Digital Marketing Skills and Business Innovation to Increase Competitiveness and Household Income of Home-Based Workers Mesran Mesran; Suginam Suginam; Wardayani Wardayani; Dian Purnama Sari; Rizkah Fadillah; Mohd Imran Bin Ahmad Kamal; Rosnizam Rosnizam; Dodi Siregar
Journal of Social Responsibility Projects by Higher Education Forum Vol 7 No 1 (2026): July 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jrespro.v7i1.10774

Abstract

This community service program aimed to enhance digital marketing skills and business innovation among home-based workers in the PPR Seri Sena Community, Kangar, Perlis, Malaysia. The activity was conducted on 13 April 2026 and involved ten participants from the partner community. The program was implemented through a needs assessment, preliminary observation, interviews and discussions with the community, preparation of training materials, an interactive workshop, practical demonstrations, question-and-answer activities, and program evaluation. The training focused on social media utilization, digital marketing, promotional features, digital branding, product differentiation, and business innovation. The evaluation results showed that participants’ understanding of social media utilization for business purposes increased from 44% before the program to 83% after the activity, representing an improvement of 39 percentage points. Understanding of social media promotional features increased from 20% to 75%, representing an improvement of 55 percentage points. These findings demonstrate that participatory and practice-oriented digital marketing training can effectively strengthen the digital competencies of home-based workers and support their readiness to improve business competitiveness. Nevertheless, the program was limited by the small number of participants and the short-term evaluation period, so further mentoring and longitudinal evaluation are recommended to examine its effects on business performance and household income.
Co-Authors Abdul Jabbar Lubis Alwi Ristanta Arnes Sembiring Dian Purnama Sari Erlin Windia Ambarsari Mesran Mesran Mesran, Mesran Mohammad Taufan Asri Zaen Mohd Imran Bin Ahmad Kamal Muhammad Zen Rahman, Sayuti Reflan Revife Purba Risko Liza Rizkah Fadillah Rosnizam Rosnizam Setiawansyah Setiawansyah Suginam Suginam Suriati Suriati Wardayani Wardayani