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Tri A. Sundara
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The Indonesian Journal of Computer Science
Published by STMIK Indonesia Padang
ISSN : 25497286     EISSN : 25497286     DOI : https://doi.org/10.33022
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering Engineering
The Indonesian Journal of Computer Science (IJCS) is a bimonthly peer-reviewed journal published by AI Society and STMIK Indonesia. IJCS editions will be published at the end of February, April, June, August, October and December. The scope of IJCS includes general computer science, information system, information technology, artificial intelligence, big data, industrial revolution 4.0, and general engineering. The articles will be published in English and Bahasa Indonesia.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 1,170 Documents
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Analisis Cluster Intensitas Data Kebencanaan di Provinsi Sulawesi Tengah Menggunakan Metode K-Means Vigo, Ayub
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.3897

Abstract

Central Sulawesi often experiences natural disasters such as earthquakes, floods, and landslides. The Central Sulawesi Regional Disaster Management Agency is in charge of managing, responding to, and providing accurate information about the event. This study aims to categorize the Central Sulawesi region based on annual disaster intensity using the k-means method. Using the K-Means algorithm, each region is grouped according to the characteristics of its disaster events. Utilizing data from the Regional Disaster Management Agency (BPBD) of Central Sulawesi Province, this study focuses on understanding disaster event patterns and intensity clusters. From the results of clustering obtained every year, the most dominant type of flood disaster occurs in several regions of Central Sulawesi, and these areas tend to be included in cluster 2 (high disaster intensity) or 1 (medium disaster intensity) and this study records a downward trend in the number of disaster events over time on a scale of 2020 to 2023 which reaches 66%. The information obtained can facilitate mitigation planning, improving the effectiveness of future disaster response.
Marketing Strategy Analysis using AHP-SWOT Method to Increase Sales Volume Gigih Tawang Alam; Minto Waluyo
The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i2.3899

Abstract

PT. X is a food manufacturer located in Gresik. Currently, the company, which was established in 2018, is facing an issue, namely a decline in sales figures leading to a significant decrease in profit. Therefore, this research will analyze the existing marketing strategies to propose new strategies to increase sales. The method used in this study is AHP-SWOT. AHP is used to determine the weighting of each aspect, while SWOT is used to determine proposed strategies. Based on the research conducted, it was found that the aspect with the highest weight, at 43.35% as determined by AHP, is the product aspect, which includes product quality, variety, and display. Based on the SWOT results, it was found that PT. X is in quadrant 2, indicating that the company still has strengths but faces various threats. Proposed strategies include increasing product quality with halal-labeled products and expanding promotion reach by utilizing social media campaigns and marketplace.      
Analisis Probabilitas Kebencanaan Daerah Menggunakan Algoritma K-Means dan Linear Regression Syamsuddin, Muhammad Ridwan
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.3900

Abstract

Bencana alam, gempa bumi, angin puting beliung, kekeringan, gelombang tinggi,tanah longsor dan banjir terjadi setiap tahunya di Sulawesi tengah. Bencana alam ini dapat menimbulkan kerugian yang besar baik materil dan juga korban jiwa. Upaya mitigasi dan adaptasi diperlukan untuk mengurangi dampak bencana alam. Salah satu cara mitigasi dan adaptasi terhadap bencana alam adalah penggunaan teknologi teknik data mining. Metode ini menggunakan CRISP-DM yang mencakupi pengumpulan data, data cluster, data preprocessing, data prediksi dan menguji model. Penelitian ini menggunakan algoritma K-Means untuk mengelompokkan data bencana dan algoritma Linear Regression untuk menentukan probabilitas terjadinya bencana. Hasil perhitungan tersebut didapatkan wilayah yang mengalami probabilitas peningkatan pada bencana banjir yaitu didaerah Kabupaten Buol, probabilitas peningkatan bencana puting beliung didaerah Kabupaten Toli-toli, dan untuk probabilias peningkatan bencana gelombang tinggi wilayah Kabupaten Banggai Kepulauan. Hasil evaluasi pengujian model linear regression bahwa nilai RMSE 0.4277 memiliki satuan yang sama dengan nilai sebenarnya sehingga lebih mudah untuk diinterpretasikan. Oleh karena itu, penelitian dapat membantu memprediksi probabilitas kejadian bencana di masa depan dan juga mengembangankan strategi penanggulangan bencana yang lebih efektif.
Analisis Perbandingan Performa Algoritma XGBoost dan LightGBM pada Klasifikasi Kanker Payudara Wijayanto, Danang; Bambang Pilu Hartato
The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i2.3901

Abstract

Breast cancer is one of the most common types of cancer and attacks women throughout the world. Judging from death cases, breast cancer is in second place in deaths caused by cancer. The fine needle aspiration method is one way to detect breast cancer early, but there are several disadvantages such as limited samples which affect the accuracy of the diagnosis or dependence on the skill and experience of the person carrying out the method. Machine learning is considered to be able to help overcome problems in the health sector, including being able to diagnose whether someone has cancer or not using the XGBoost and LightGBM algorithms. XGBoost and LightGBM are efficient algorithms for learning and have differences in learning strategies, namely level-wise and leaf-wise. This research will compare the accuracy, sensitivity and specificity performance of two algorithms, namely XBoost and LightGBM, to see which algorithm can perform better classification. From the experimental results, it was found that XGBoost had better performance by obtaining an average accuracy of 97.03%, an average sensitivity of 97.40% and an average specificity of 96.81%, while LightGBM obtained an average accuracy of 95.59%, average sensitivity 94.70% and average specificity 96.10%.
Perancangan Sistem Informasi Analisa Status Gizi Balita Berbasis Website Tingkat Desa Pramudya, Nicko Ilham; Supriyono, Heru
The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i2.3904

Abstract

Posyandu merupakan lembaga kesehatan masyarakat yang bertugas memberikan pelayanan Kesehatan, termasuk pemantauan status gizi balita. Sayangnya, proses pengumpulan dan analisis data status gizi balita di posyandu ini masih dilakukan secara manual, mengakibatkan ketidakefisienan dalam pengelolaan informasi. Keterbatasan dalam pendataan manual menyebabkan risiko kesalahan data yang signifikan oleh tenaga medis. Tujuan dari penelitian ini untuk membuat sistem informasi analisa status gizi pada balita yang diharapkan dapat membantu proses pemeriksaan akan menjadi lebih mudah dan meningkatkan efektivitas pengelolaan informasi status gizi balita di posyandu. Metode yang akan digunakan dalam membangun sistem ini adalah metode waterfall, yaitu: analisis kebutuhan, desain sistem, implementasi, pengujian, dan pemeliharaan. Hasil dari penilitian ini berupa fungsi untuk analisa status gizi balita yang diimplementasikan dalam fitur input data menggunakan beberapa indikator yang akan diukur. Selain itu, terdapat tambahan informasi gizi yang dibutuhkan dan akan muncul pada halaman yang sama dengan hasil pengukuran pada gizi balita.
Design and Build Applications for Choice of Vocational Schools Using the Simple Additive Weighting Method Sisrayanti; Rizal, Fahmi; Ambiyar
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.3907

Abstract

The fact that the problem of incompatibility of majors and educational backgrounds of students is one of the factors in the problems of education in Indonesia. This is of particular concern to the world of education, including vocational education. To enter education, especially at the Vocational High School (SMK) level, students are required to choose a major according to their interests and talents. However, many students are not aware of their abilities. Consequently, the objective of this research is to develop an Android application tailored for Vocational High Schools, employing the Simple Additive Weighting technique. The methodology employed here is the Research and Development (R&D) approach utilizing the 4D development model. The outcome of this investigation yields an application that serves as a valuable tool for both educators and students in making informed decisions regarding their choice of majors in Vocational High Schools
Optimization of Furniture Raw Material Inventory Using The Lagrange Multiplier Method Wening, Marshanda Citra; Donoriyanto, Dwi Sukma
The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i2.3909

Abstract

PT XYZ is a furniture company specializing in products made from wood and rattan. PT XYZ has suboptimal problems controlling raw material inventories, resulting in inventory cost overruns and warehouse overcapacity. This research aims to determine the optimization of the amount of furniture raw material in the inventory according to the available warehouse capacity using the Lagrange Multiplier method. From the research results, it was found that the total warehouse using the Lagrange Multiplier method was 107,922 m3, which shows that this value is optimal because it does not exceed the capacity of the warehouse owned by PT XYZ, which is 108 m3. By applying the Lagrange Multiplier method, it is possible to save total inventory costs of IDR 17.219.173 or 6.36% of the company's total inventory costs, with an order size of 37 m3 for mindi wood and 26 m3 for mahogany wood.
State-of-Charge Evaluation for Real-Time Monitoring and Evaluation of Lithium-Ion Battery Performance Aye Aye Mon; Swe, Wunna
The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i2.3911

Abstract

Nowadays, lithium-ion batteries have been garnered significant attention as the primary energy source for energy storage devices within the renewable energy sector. Key concerns surrounding the utilization of lithium-ion batteries include ensuring satisfactory design lifespan and safe operation. Consequently, there's been a practical need for battery management. Responding to this demand, various battery state indicators have seen widespread implementation. Among the battery state indicators, accurate state-of-charge (SOC) estimation is an essential requirement for many situations where Li-Ion batteries (LiBs) are used. The effectiveness of a Battery Management System (BMS) safeguards the battery against deep discharging and over-charging to maximize its lifespan. This paper conducts state of charge (SOC) evaluation of a Li-ion battery module (12V, 13 Ah lithium titanate oxide (LTO) battery) for battery management systems (BMS) in energy storage systems (ESSs).
Economic Analysis of PV-Utility Grid Hybrid Electric Vehicle Charging Station in Mandalay City Soe Soe Than; Swe, Wunna
The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i2.3912

Abstract

Electric vehicles (EVs) are catching on everywhere worldwide. Building more clean energy infrastructure for EVs could help lessen greenhouse gas emissions and make city air cleaner. EVs charged with electricity from solar panels emit fewer pollutants compared to those charged with grid electricity. Therefore, combining solar power with EV charging stations could be a good way to promote sustainable development in the EV market. Despite rapid EV adoption in Mandalay, the charging infrastructure remains limited, mostly stations reliant on grid electricity. In this paper, the proposed system integrates photovoltaic technology with the existing utility grid infrastructure of EV charging station at the corner of 78th road & 101st road in Mandalay city, Myanmar. HOMER Grid is utilized to analyze the economic feasibility. The results of the proposed system describe that the cost of energy (COE) is reduced by $0.05/kWh. Additionally, the integrated system incurs fewer costs and generates more profits.
Analysis of The Quality of Plastic Sack Products using the Statistical Quality Control (SQC) Method Rizquina Aldila Putri; Donoriyanto, Dwi Sukma
The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i2.3915

Abstract

PT. XYZ is a PT work unit manufacturing company. Perkebunan Nusantara I Regional 4 is engaged in the plastic sack industry which produces 2 products, namely outer bags and inner bags. The research carried out aims to determine and measure the level of product quality and provide appropriate product improvement suggestions for quality control problems in plastic sack products in PT. XYZ. The method used is Statistical Quality Control (SQC). Based on the results of research on Statistical Quality Control (SQC), there are 5 production stations and there are each type of defect at each production station. The defects that affect product quality are 14,541 kg of holey film defects, 13,849 kg of uneven threads, 22,706 kg of outgoing threads, 17,876 kg of jagged webbing, 10,186 kg of misprinting, 8,846 kg of faded colors, 11,323 kg of inner holes. , and opened seal of 3,206 kg. There are suggestions for improvements that can be proposed for each defect by adjusting the factors in the fishbone diagram.

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