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Muhammad Wali
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muhammadwali@amikindonesia.ac.id
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ijsecs@lembagakita.org
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Jl. Teuku Nyak Arief No. 7b 23112, Kota Banda Aceh, Banda Aceh, Provinsi Aceh
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International Journal Software Engineering and Computer Science (IJSECS)
Published by Lembaga Komunitas Informasi Teknologi Aceh
ISSN : 27764869     EISSN : 27763242     DOI : https://doi.org/10.35870/ijsecs
Core Subject : Science,
Computer Science & IT
IJSECS is committed to bridge the theory and practice of information technology and computer science. From innovative ideas to specific algorithms and full system implementations, IJSECS publishes original, peer-reviewed, and high quality articles in the areas of information technology and computer science. IJSECS is a well-indexed scholarly journal and is indispensable reading and references for people working at the cutting edge of information technology and computer science applications..
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 387 Documents
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Design of Continuous Web APP: Guidance and Counseling Management Information System at SMKN 1 Purwakarta using Laravel Framework Setyawan, Kornelius Rhesa Valdis; Rizal, Muhamad Fahmi; Widodo, Suprih; Hikmawan, Rizki
International Journal Software Engineering and Computer Science (IJSECS) Vol. 3 No. 3 (2023): DECEMBER 2023
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v3i3.1855

Abstract

An Information System plays a crucial role in addressing the challenges associated with archiving guidance and counseling reports, thereby enhancing the quality of Guidance and Counseling Services at SMKN 1 Purwakarta. This research aims to develop a web application that not only streamlines the archiving process but also provides a foundation for future enhancements. The research process involves a comprehensive literature review, data collection, system analysis, system development, and report generation. Data acquisition encompasses both extensive literature searches and empirical fieldwork, involving interviews and direct observations of relevant stakeholders. The adoption of the Extreme Programming methodology is justified due to its efficiency in rapid software development and adaptability to changing requirements. Laravel, chosen as the framework, offers robust features, an active community, and continuous updates to support ongoing development. The outcome of this research is a Management Information System for guidance and counseling, leveraging Bootstrap for the frontend, Laravel for the backend, and MySQL for the database. The research also provides documentation for future improvements, including the results of black-box testing.
Development of A Mobile-Based Application for Ordering House Interior and Exterior Designs Saputro, Prasetyono Hadi; Fachrie, Muhammad
International Journal Software Engineering and Computer Science (IJSECS) Vol. 3 No. 3 (2023): DECEMBER 2023
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v3i3.1858

Abstract

This study focuses on a design services company lacking a computerized information system for managing customer orders and financial calculations. The absence of a structured reporting system for daily, weekly, monthly, and annual periods hinder efficient operations. We employ a descriptive research method with an object-oriented and prototype development approach. The programming language used is Kodular, and Firebase is utilized for database storage. The research results in the creation of a mobile-based interior and exterior design information system. It aids in order management, allows customers to check order statuses, minimizes calculation errors, and facilitates report generation. This system significantly streamlines company operations and enhances productivity.
Efficiency and Creativity in The Creative Industry Through the Utilization of Machine Learning (Case Study at CV. Maxiidea Arta Sukses, Surabaya) Satria, Brama Seta Putra; Fadhillah, Is
International Journal Software Engineering and Computer Science (IJSECS) Vol. 3 No. 3 (2023): DECEMBER 2023
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v3i3.1862

Abstract

The creative industry in Indonesia is a key contributor to economic growth, and technology, particularly Machine Learning, is playing a crucial role in its transformation. This research focuses on the impact of Machine Learning implementation in the creative industry, specifically at CV. Maxiidea Arta Sukses in Surabaya, and aims to understand its effects on efficiency and creativity. By using qualitative methods such as observation, interviews, and literature study, the research examines the improvements in efficiency for social media specialists, the impact on creativity in digital marketing, and the potential barriers to implementation. The findings provide valuable insights into employee perceptions of Machine Learning technology and its potential contribution to performance. Ultimately, this research sheds light on the evolving role of technology in the creative industry and its implications for businesses in Indonesia.
Mobile Web-Based Cassava Inventory Management System: A Case Study at CV Panca Yoga, Purbalingga Pratama, Haris Andika; Wulandari, Sri
International Journal Software Engineering and Computer Science (IJSECS) Vol. 3 No. 3 (2023): DECEMBER 2023
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v3i3.1866

Abstract

A web and mobile-based inventory management system is developed with the aim of streamlining the process of checking incoming goods, outgoing goods, stock inventory, and report generation for business owners and employees. CV Panca Yoga, operating in the cassava trading industry since 2012 and located on Jalan Raya Kejobong, Krenceng, Purbalingga, Central Java, serves as a case study. The existing inventory data recording processes at CV Panca Yoga are considered inefficient and ineffective, as they rely on manual procedures for recording incoming and outgoing goods, managing stock inventory, and generating reports. To address these issues, we have designed a web and mobile-based inventory management application that facilitates the input of data related to incoming and outgoing goods, stock inventory, and report generation. This digitized system not only enhances speed and efficiency but also reduces the potential for errors.
Analysis and Improvement of Payroll Systems Using Agile Methods to Achieve Efficiency and Fairness Hindarto, Djarot; Nurfaizi, Kelfin
International Journal Software Engineering and Computer Science (IJSECS) Vol. 3 No. 3 (2023): DECEMBER 2023
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v3i3.1871

Abstract

In today dynamic business environment, the success of an organization hinges not only on the quality of its products or services but also on the efficiency and equity inherent in its employee payroll system. This research elucidates the imperative behind the transformation of corporate payroll systems in response to the rapid evolution of industry dynamics and the escalating complexity of employee requisites. The primary objective of this study is to conduct an in-depth analysis of the payroll system employed by PT Kefsone, a dynamically growing enterprise, with a specific emphasis on augmenting operational efficiency and instituting equitable compensation distribution practices. The comprehensive analysis encompasses an exploration of the evolving demands of the workforce, an evaluation of methodologies for performance assessment, and a critical review of remuneration structures and incentive policies. The findings of this research underscore the substantial impact that components affecting fairness and efficiency within PT Kefsone payroll system exert on workplace productivity, employee retention, and overall morale. Moreover, the study presents actionable recommendations for system enhancement, thoughtfully tailored to align with the company's requirements and the expectations of its workforce.
Enhancing Logistic Efficiency in Product Distribution through Genetic Algorithms (GAs) for Route Optimization Judijanto, Loso; Fauzan, Tribowo Rachmat; Fisher, Bobby
International Journal Software Engineering and Computer Science (IJSECS) Vol. 3 No. 3 (2023): DECEMBER 2023
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v3i3.1872

Abstract

This research highlights the significant potential of Genetic Algorithms (GA) as a powerful tool for optimizing logistics distribution routes. The utilization of GA has led to substantial improvements in route efficiency, resulting in cost reductions and shorter delivery times. Notably, the inclusion of customer satisfaction as a key parameter in route optimization emphasizes the importance of meeting customer expectations and ensuring timely deliveries. Additionally, the study recognizes the positive environmental implications of reduced travel distances and durations, indicating a favorable impact on environmental sustainability by reducing carbon emissions. Ethical considerations remain paramount, as the research employs anonymized data sources and adheres rigorously to industry standards to safeguard data privacy. Comparative analyses consistently favor GA over conventional distribution methods, reaffirming its capacity to generate more efficient routes. Overall, this investigation underscores the versatility and efficacy of Genetic Algorithms in addressing complex logistics distribution challenges, offering practical solutions that benefit businesses, customers, and environmental conservation alike.
Analysis of the Apriori Algorithm for Enhancing Retail Product Staple Sales Recommendations Kurniawan, Avip; Suwaryo, Niko
International Journal Software Engineering and Computer Science (IJSECS) Vol. 3 No. 3 (2023): DECEMBER 2023
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v3i3.1877

Abstract

Products are fundamental commodities in the market that cater to various consumer needs and desires. This research employs the Apriori algorithm to generate product recommendations based on the analysis of high-demand patterns arising from product sales and association patterns. Specifically, we focus on identifying elevated sales in categories such as Bulk Products, Biscuits/Snacks, Drinks, Milk/Coffee/Tea, and Sauces & Spices during specific time intervals. The model's evaluation and validation entail measuring the Lift Ratio value, a key metric. In our assessment using the RapidMiner Studio application, we find that the Lift Ratio value equals 1. Consequently, our model asserts that combinations with a Lift Ratio value greater than or equal to 1 are deemed valid and beneficial.
Classification of Production Machine Spare Part Stock Data Request Needs Using The K-Nearest Neighbor Method Yansyah, Hamdi; Fauziah, Sifa; Maulana, Donny
International Journal Software Engineering and Computer Science (IJSECS) Vol. 3 No. 3 (2023): DECEMBER 2023
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v3i3.1878

Abstract

Spare parts encompass various items that are offered, owned, utilized, or consumed to fulfill consumer desires and requirements. This research implements the K-Nearest Neighbor algorithm on a test dataset consisting of 100 data objects, resulting in a novel classification perspective. The study includes a comprehensive model evaluation process involving Cross Validation on both training and testing datasets, comprising 1000 records with 36 critical and 64 non-critical outcomes. Performance assessment and testing utilizing the RapidMiner Studio application yield optimal results under various modeled scenarios. The accuracy of this algorithm model stands at 98.00%, with a standard deviation of +/- 4.00%.
Decision Support Systems for Career Recommendations for Graduates in Islamic Broadcasting Communication Studies Using ANP and TOPSIS Methods Alfiansyah, Raja; Zufria, Ilka
International Journal Software Engineering and Computer Science (IJSECS) Vol. 3 No. 3 (2023): DECEMBER 2023
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v3i3.1914

Abstract

The insufficient number of alumni students displaying a strong work ethic can be attributed to a mismatch between the talents and interests of alumni in the UINSU MEDAN KPI area, which should be the focal point of monitoring for these Indonesian youths. The effective management of alumni can offer a potential solution. In this study, researchers employed the ANP method to calculate career recommendations and ranked them using the TOPSIS method. The research methodology included a comprehensive literature review, observational data collection, interviews, documentation analysis, system flowchart design, ANP method application, TOPSIS method application, and system testing conducted using the black box method. Based on the calculations using the ANP and TOPSIS methods, Alternative A1 emerged as the top priority, scoring 1, while Alternative A13 received the lowest priority with a score of 0.13. These calculations were based on six criteria: discipline, honesty, responsibility, teamwork skills, and technical or practical proficiency. The highest-ranked career recommendation was "Insight into print, radio, and television media" with a manual priority of 0.7747 and a system-assigned priority of 0.73. Conversely, "Cameramen in television media" received the lowest score, with a value of 0.13 and a system-assigned priority of 0.13.
Decision Support System for Selecting Tofu Dregs Suppliers Using the Analytical Hierarchy Process (AHP) Method Parulian, Dudi; Fazrie, Muhammad; Alima, Ghina
International Journal Software Engineering and Computer Science (IJSECS) Vol. 3 No. 3 (2023): DECEMBER 2023
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v3i3.1935

Abstract

The process of selecting suppliers can be simplified with the aid of a system that offers recommendations for optimal supplier choices. This research aims to develop a decision support system application to assist CV. TJIGOWEK in objectively selecting tofu dregs suppliers while enhancing effectiveness and efficiency in time management. The research methodology employed to facilitate supplier selection is the Analytical Hierarchy Process (AHP). The five fundamental criteria utilized as parameters include quality, quantity, pricing, service, and payment flexibility. The AHP method is employed to determine the weight of each criterion, ultimately generating the optimal alternative ranking. The findings of this study can serve as a valuable reference for making supplier selection decisions aligned with the company's predefined criteria.

Page 8 of 39 | Total Record : 387

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