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Simulasi Monte Carlo dalam Memprediksi Ketersediaan Barang (PT. Terang Abadi Pekanbaru) Septian Simatupang
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 10 No 1 (2022): Jursima Vol. 10 No. 1, April Tahun 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i1.399

Abstract Inventory problems not only occur in companies engaged in manufacturing, but the problem also occurs in companies engaged in retail. Inventory problems also occur at PT. Terang Abadi. The inventory system used at this company mostly still uses intuition, estimation, and habits. As a result, predicting inventory becomes very risky when using the simple inventory model. Without a good inventory management, the company will be faced with the risk of being unable to meet customer demand so that inventory analysis needs to be done so that the company does not experience losses. One method that can be used is the monte carlo method. The data taken is inventory data for the last 3 years, namely 2019 to 2021. This data is simulated by programming PHP as a data implementation system. Simulation results from this study obtained an accuracy rate of 90% for simulations in 2019 and 97% for simulations in 2020. By getting greater accuracy, this method is feasible to use and apply to predict the availability of goods in the future. Keywords: Simulation, Monte Carlo, Prediction, Inventory

Simulasi Monte Carlo dalam Memprediksi Ketersediaan Barang (PT. Terang Abadi Pekanbaru) Septian Simatupang
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 10 No 1 (2022): Jursima Vol. 10 No. 1, April Tahun 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i1.399

Abstract Inventory problems not only occur in companies engaged in manufacturing, but the problem also occurs in companies engaged in retail. Inventory problems also occur at PT. Terang Abadi. The inventory system used at this company mostly still uses intuition, estimation, and habits. As a result, predicting inventory becomes very risky when using the simple inventory model. Without a good inventory management, the company will be faced with the risk of being unable to meet customer demand so that inventory analysis needs to be done so that the company does not experience losses. One method that can be used is the monte carlo method. The data taken is inventory data for the last 3 years, namely 2019 to 2021. This data is simulated by programming PHP as a data implementation system. Simulation results from this study obtained an accuracy rate of 90% for simulations in 2019 and 97% for simulations in 2020. By getting greater accuracy, this method is feasible to use and apply to predict the availability of goods in the future. Keywords: Simulation, Monte Carlo, Prediction, Inventory

SISTEM MONITORING LAPORAN HARIAN AVIATION SECURITY BANDARA SULTAN SYARIF KASIM II BERBASIS ANDROID Bambang Kurniawan; Muhammad Khaibar Putra Adithia; Septian Simatupang
Indonesian Journal of Thousand Literacies Vol. 1 No. 5 (2023): Indonesian Journal of a Thousand Literacy
Publisher : Nindikayla Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57254/ijtl.v1i5.50

SSK2 Airport assigns basic duties to AVSEC officers. In performing their duties in accordance with the SOP, officers need to make daily reports that have been done every day. The process of monitoring the daily report of officers is currently still using "WhatsApp" technology, each officer submits his daily report through the WhatsApp Group media. But the reporting activity is still running less effectively because of the limited features provided by WhatsApp. Based on the description stated above, the author will raise the title of the study with the title "Monitoring System Of Daily Aviation Security Report sultan Syarif Kasim II Based On Android". With the daily report monitoring system, aviation security officers can conduct reporting activities through a system that has been integrated with the database. This system can be accessed at any time, and the possibility of loss and damage to daily report data is less because the data is stored offline in the system database. The research method used in this study is the waterfall method. Waterfall is the method most often used for system development, the system development model that is linear is the process from the initial stage to the final stage is done in sequence and will not continue the next stage before the previous stage is completed. The Daily Report Monitoring System of Aviation Security SSK II Pekanbaru Airport Based on Android is made in two platforms, namely Android and Website. The Android platform will be used by airport officials to report daily reports. While the website platform is used by admins and service heads to monitor daily reports of aviation security. Based on the results of tests conducted using the Blackbox testing method, the Daily Report Monitoring System of Aviation Security SSK II Pekanbaru Airport Based android can work well.

Integrasi Mesin Absensi dan Pusher Notification pada Sistem Informasi Akademik Sekolah Untuk Monitoring Absensi Real-Time Monsya Juansen; Septian Simatupang
Journal of Computer System and Informatics (JoSYC) Vol 4 No 4 (2023): August 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i4.3840

Integrasi mesin absensi dan pusher notification dalam sistem informasi akademik sekolah untuk pemantauan kehadiran secara real-time merupakan aspek penting dari manajemen sekolah yang efisien. Penelitian ini bertujuan untuk mengintegrasikan mesin absensi dan pusher notifikasi ke dalam sistem informasi akademik sekolah untuk pemantauan kehadiran secara realtime. Sistem ini memberi sekolah kemampuan untuk memantau kehadiran siswa dengan cepat dan efisien serta menyampaikan pemberitahuan real-time kepada pemangku kepentingan terkait. Kajian diawali dengan analisis menyeluruh terhadap persyaratan dan tantangan yang dihadapi sekolah dalam memantau kehadiran secara real-time. Tinjauan komprehensif literatur yang ada dilakukan untuk memahami konsep mesin absensi, notifikasi pusher, dan integrasi sistem. Berdasarkan temuan, desain sistem diusulkan, dengan mempertimbangkan arsitektur, antarmuka pengguna, dan alur kerja sistem terintegrasi. Mesin absensi terhubung ke sistem informasi akademik melalui protokol komunikasi yang sesuai, memastikan transfer dan sinkronisasi data tanpa hambatan. Fitur pusher notification diintegrasikan ke dalam sistem untuk mengirimkan notifikasi kehadiran secara real-time kepada pemangku kepentingan terkait, termasuk administrator, guru, dan orang tua. Ini memfasilitasi tindakan cepat dan pengambilan keputusan berdasarkan informasi kehadiran. Untuk menilai keefektifan solusi terintegrasi, serangkaian pengujian dan evaluasi dilakukan. Ini termasuk skenario seperti check-in siswa, check-out, dan pembaruan catatan kehadiran. Kinerja, keandalan, dan kepuasan pengguna dari sistem terintegrasi dievaluasi. Hasil penelitian menunjukkan manfaat pengintegrasian mesin absensi dan notifikasi pusher ke dalam sistem informasi akademik. Pemantauan kehadiran secara real-time meningkatkan efisiensi administrasi, meningkatkan akuntabilitas siswa, dan mendorong komunikasi yang efektif antara sekolah dan pemangku kepentingan. Penelitian ini berkontribusi pada pengetahuan tentang integrasi sistem kehadiran dan pemberitahuan pusher di lingkungan sekolah. Temuan ini dapat memandu lembaga pendidikan dalam mengadopsi solusi serupa untuk meningkatkan manajemen kehadiran dan operasional sekolah secara keseluruhan.

Analysis of the Multi Objective Optimization by Ratio Analysis (MOORA) Method in Determining Pilot Areas at PT. XYZ Simamora, Windi Saputri; Harahap, Siti Sarah; Idaman, Akbar; Simatupang, Septian
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4149

This research analyzes the application of the Multi Objective Optimization by Ratio Analysis (MOORA) method model in determining the Pilot Area at PT XYZ. This method is used to evaluate various performance criteria, including customer satisfaction, productivity, service quality, and operational efficiency. Currently, the Pilot Area assessment and selection process at PT XYZ is still done manually, which causes a lack of accuracy and efficiency. MOORA was chosen for its ability to handle multi-criteria decision-making problems more systematically and objectively. The analysis results showed that Alternative Area 7 obtained the highest final score of 0.39, placing it as an area with superior performance. The application of MOORA is proven to improve accuracy and efficiency in the Pilot Area determination process, providing a more objective basis for decision-making. By using MOORA, PT XYZ can evaluate area performance more comprehensively and accountably. This research recommends that PT XYZ implement the MOORA method thoroughly and conduct periodic evaluations of the methods used. For theory development, PT XYZ can add specific evaluation criteria according to company needs. The implementation of these suggestions is expected to improve the quality of service and competitiveness of PT XYZ in the global market. Further research is expected to compare MOORA with other methods to strengthen the validity of the results. Thus, this research not only provides a practical contribution to PT XYZ but also adds academic insight into the application of multi-criteria optimization methods in the context of performance management and service improvement.

Simulasi Monte Carlo dalam Memprediksi Ketersediaan Barang (PT. Terang Abadi Pekanbaru) Simatupang, Septian
JURSIMA Vol 10 No 1 (2022): Jursima Vol. 10 No. 1, April Tahun 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i1.399

Abstract Inventory problems not only occur in companies engaged in manufacturing, but the problem also occurs in companies engaged in retail. Inventory problems also occur at PT. Terang Abadi. The inventory system used at this company mostly still uses intuition, estimation, and habits. As a result, predicting inventory becomes very risky when using the simple inventory model. Without a good inventory management, the company will be faced with the risk of being unable to meet customer demand so that inventory analysis needs to be done so that the company does not experience losses. One method that can be used is the monte carlo method. The data taken is inventory data for the last 3 years, namely 2019 to 2021. This data is simulated by programming PHP as a data implementation system. Simulation results from this study obtained an accuracy rate of 90% for simulations in 2019 and 97% for simulations in 2020. By getting greater accuracy, this method is feasible to use and apply to predict the availability of goods in the future. Keywords: Simulation, Monte Carlo, Prediction, Inventory

The Menu Clustering At Doktor Kopi Using K-Means Algorithm To Increase Sales Septian Simatupang; Monsyah Juansen; Rizki Ramadhansyah; Taufiqurrahman; Windi Saputri Simamora
INFOKUM Vol. 12 No. 04 (2024): Engineering, Computer and Communication, November 2024
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Coffee Doctoris a coffee shop with a variety of menus and a strategic location in Medan City, this coffee shop is currently developing a strategy to increase sales of their products. Effective menu arrangement is an important factor in increasing product sales in coffee shops or cafes. This study aims to optimize sales by utilizing the K-Means algorithm to group menus based on customer purchasing patterns. The sales data analyzed includes product types, purchase frequency, and revenue contributions from each menu. Through the clustering process, menus can be grouped into several categories, such as the best-selling, medium and less popular menus. The results of this clustering are used to design a more structured menu arrangement strategy, such as arranging menu positions on the list, special promotions, or eliminating less effective menus. The implementation of the K-Means algorithm shows that a data-based menu arrangement strategy can improve customer experience and significantly drive product sales. Thus, this study provides a practical contribution for coffee shop or cafe managers to optimize sales through a technology and data-based approach.

UTILIZATION OF THE INTERNET OF THINGS IN CREATING SMART LIBRARIES AND INCREASING STUDENTS' INTEREST IN READING Herni Ramayanti; Yetnimar; Peni Astuti; Septian Simatupang; Aloysius Eka Wenats
JURNAL ILMIAH EDUNOMIKA Vol. 9 No. 2 (2025): EDUNOMIKA
Publisher : ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/jie.v9i2.17033

Abstract This study is a qualitative study with a descriptive approach, namely approaching the description of the main parts used in this article. In this case, the main parts in question are the Internet of Things and Smart Library. The data used in this article is secondary data that researchers obtain from sources indirectly obtained or it can be said that researchers obtain from credible quotations such as Books, Journals, and Websites. After the data is collected, the existing data is reduced, selected, and conclusions are drawn. The result in this article show that Internet of Things in creating a smart library that has four concepts and has been proposed by researchers above can be achieved easily. With a good Internet of Things, the internet network will be stronger and wider. The references owned are also increasing and in accordance with the needs and desires of students. This can make students happy and increase their interest in reading. Keywords: Internet of Things, Smart Library, Students

Development of a YOLO-Based Artificial Intelligence (AI) System for Early Detection of Stunting Risk in Children in 3T Regions of North Sumatra Province Ramadhansyah, Rizki; Simatupang, Septian; Abdillah, Rizky
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 4 (2025): Articles Research October 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i4.6954

Stunting is a chronic nutritional problem that has long-term impacts on children’s physical growth, cognitive development, and future productivity. This condition remains a major challenge in the 3T regions (frontier, outermost, and disadvantaged areas) of North Sumatra Province due to limited healthcare personnel, lack of measurement facilities, and delays in early detection. This study aims to develop an artificial intelligence system integrating YOLOv8 and Random Forest to automatically and in real time detect stunting risk in children. The YOLOv8 model is utilized to detect the presence of a child and estimate height through visual image analysis, while the Random Forest algorithm classifies the risk level based on the Height-for-Age Z-score (HAZ) derived from anthropometric and demographic data. The dataset consists of 29 children from 3T regions, with training and testing splits used to evaluate model performance. The results show that the system achieved an accuracy of 97.8%, precision of 96.5%, recall of 95.9%, F1-score of 96.2%, and an area under the ROC curve (AUC) of 0.98. The system successfully detects children in real time, produces risk classifications consistent with manual measurements, and automatically documents examination data. The novelty of this research lies in the integration of YOLO for automatic height measurement and Random Forest for nutritional classification, which has not been applied in the 3T regional context. This system has the potential to serve as a digital tool for healthcare workers and posyandu cadres to accelerate child nutrition monitoring in an efficient, accurate, and well-documented manner.

The Urgency of Providing Health Infrastructure in Improving the Quality of Life and Creating a Golden Generation in 2045 in Villages Kalalo, Rieneke Ryke; Simatupang , Septian; Simatupang , Mumu Muzayyin Maq; Muktar , Muktar; Arif , Muhammad
Journal Of Human And Education (JAHE) Vol. 4 No. 3 (2024): Journal of Human And Education
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jh.v4i3.911

One of the most important components in realizing health development in realizing the 2045 golden generation in Indonesia is the availability of health infrastructure. Therefore, the Ministry of Health is disbursing a health welfare budget of 5% of the APBN and APBD to cities and districts, which is expected to play a role in helping improve health infrastructure and superstructure for the community, especially communities in villages where the development and provision of health facilities is not evenly distributed. As for appropriate and targeted health infrastructure, village communities can influence the implementation of health programs in the village. Uneven implementation of health infrastructure can cause difficulties for individuals to reach the necessary health facilities. Therefore, the aim of this community service is to determine the urgency of the influence of providing health infrastructure in improving the quality of life and health of people in villages so that they can create the 2045 Golden Generation in Indonesian. In obtaining the data used were observation and literature review. This service activity is an educational and outreach effort to the people of Garung Village, Sambeng District, Lamongan Regency, East Java. This effort was motivated by the lack of knowledge about the provision of health infrastructure in villages which is very useful for improving the quality of life and health of the community. As a form of the author's thinking, several efforts and breakthroughs are offered, namely; 1.) Accessibility of Health Service Infrastructure, availability of medical personnel, supporting facilities, quality of service, and regional disparities are factors that influence the provision of health infrastructure in villages. 2.) Knowledge, community views, education and health infrastructure are factors that can influence village communities in obtaining information to improve the quality of life and health of the community so that they can create the 2045 golden generation Indonesian generation.

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