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Informatics and Software Engineering (ISE)
Published by Santoso Academy Network
ISSN : 29882818     EISSN : 29882222     DOI : https://doi.org/10.58777/ise
Core Subject : Science,
Computer Science & IT
The Informatics and Software Engineering is an open-access and peer-reviewed journal that publishes theoretical and empirical research articles, review papers, and case studies on all major Informatics and Software Engineering topics. The journals mission is to offer a forum for the growing amount of scholarly research on Information Technology and Software Engineering in which it operates. The journal emphasizes theoretical advancements, their application, and empirical, practical, and policy research in global IT technology. The journal provides a platform for professionals in the field of IT to exchange their expertise and experiences. It aims to promote discussions on the design, development, implementation, management, and assessment of diverse IT applications among practitioners, researchers, managers, and IT policymakers. The journals goal is to promote communication and collaboration between and among academic and other research groups, as well as the founder of start-up and technology decision-makers at private and public institutions, national and global, and their regulators.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 26 Documents
 1   2   3 
Design of the Web-Based Air Conditioning Service Information System Darmanto, Rikardus; Handayanna, Frisma; Rahayu, Sri
Informatics and Software Engineering Vol. 2 No. 1 (2024): June 2024
Publisher : SAN Scientific

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58777/ise.v2i1.88

Abstract

PT. Marver Maju Sejahtera is a firm engaged in consulting services and AC service services. The current AC service system is ineffective when a customer comes directly to the office to request AC service, which takes quite a long time, so there is a lack of customer interest then the recording of service data still uses paper or handwritten, causing problems such as errors in recording address data or customer residence locations. In that condition, the running system can understand the constraints or problems and be able to provide the right solution. A service information system is a web-based application that makes it easy for customers and the firm to carry out activities. The system development model used is rapid application development (RAD), which is an iterative method, so the design process is carried out according to the developer's version. The result of this system is that it can process information related to AC service services, such as managing customer data, category data, service type data, report data, and service payment transaction processing.   PT. Marver Maju Sejahtera ialah perusahaan bergerak dalam bidang Jasa Konsultan dan Jasa Service AC. Sistem pelayanan jasa servis AC saat ini kurang efektif dimana seorang pelanggan datang langsung ke kantor untuk permintaan servis AC yang makan waktu cukup lama, dengan begitu kurangnya minat pelanggan, berikutnya pencatatan data servis masih menggunakan kertas atau tulis tangan sehingga menimbulkan permasalahan seperti kesalahan pencatatan data alamat atau lokasi tinggal pelanggan. Untuk sistem yang berlangsung agar dapat memahami kendala atau permasalahan dan dapat memberikan solusi yang tepat. Sistem informasi jasa servis AC merupakan suatu aplikasi berbasis web, yang memberikan kemudahan untuk pelanggan dan pihak perusahaan dalam melakukan kegiatan. Model sistem pengembang yang digunakan Rapid Application Development (RAD) yang Merupakan salah satu metode berulang, sehingga proses desain dilakukan sesuai versi developer. Hasil sistem ini ialah bisa memproses informasi berkaitan dengan jasa servis AC, seperti: mengelola data pelanggan, data kategori, data jenis jasa, data laporan, proses transaksi pembayaran servis.
Website UI/UX Analysis and Redesign using Usability Testing Methods Suryanata, Muhammad Fauzan; Rusdiansyah, Rusdiansyah
Informatics and Software Engineering Vol. 2 No. 1 (2024): June 2024
Publisher : SAN Scientific

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58777/ise.v2i1.96

Abstract

Usability has 5 quality dependent variables, namely learnability, efficiency, memorability, error, and satisfaction. With usability testing, it will be assessed whether the user interface and user experience of the website are ready to be implemented or not. One application that can be used is Figma, which is a web-based application. In this study using qualitative research with validation tests, reliability tests, data reduction, data presentation, and drawing conclusions. This qualitative research is supported by the usability testing method as a system development model. This usability testing method is used to find out how easy it is to learn about the website to support the company profile, the ease of use of the website, user/customer satisfaction, and the efficiency of the Dwisetia Garuda Metalindo Sejahtera company website. Usability comes from English, namely usable which refers to the ability to use well. This study tested the validity by calculating the relationship between scores using the SPSS program. In this study, the number of respondents consisting of three categories of respondents namely employees, customers, and the general public was 51 respondents. The data was taken using a questionnaire/questionnaire which was distributed directly via the questionnaire/questionnaire link. Based on the research, it can be concluded from the redesigning of Dwisetia Garuda Metalindo Sejahtera's company website as a support for the company profile.   Usability terdapat 5 variabel terikat (dependent) yang berkualitas yaitu learnability, efficiency, memorability, error, dan satisfaction. Dengan usability testing, akan dapat dinilai apakah user interface dan user experience dari website sudah siap untuk diterapkan atau belum. Salah satu aplikasi yang dapat digunakan adalah Figma, yang merupakan aplikasi berbasis web. Dalam penelitian ini menggunakan penelitian kualitatif dengan uji validasi, uji reliabilitas, reduksi data, penyajian data, dan penarikan kesimpulan. Penelitian kualitatif ini di dukung oleh metode usability testing sebagai model pengembangan sistem. Metode usability testing ini digunakan untuk mengetahui sejauh mana kemudahan dalam mempelajari website guna menunjang company profile, kemudahan website untuk digunakan, kepuasan pengguna/pelanggan, dan efisiensi dari website PT Dwisetia Garuda Metalindo Sejahtera. Usability berasal dari Bahasa Inggris yaitu usable yang mengacu pada kemampuan penggunaan yang baik. Penelitian ini melakukan uji validitas dengan menghitung hubungan antar skor menggunakan program SPSS. Dalam penelitian ini, jumlah responden yang terdiri dari tiga (3) kategori responden yaitu karyawan, customer, dan masyarakat umum sebanyak 51 responden. Data tersebut diambil menggunakan angket/kuesioner yang disebar secara langsung melalui link angket/kuesioner tersebut. Berdasarkan dari penelitian, maka dapat disimpulkan dari pembuatan redesain website PT Dwisetia Garuda Metalindo Sejahtera sebagai penunjang company profile.
An Integration of Machine Learning with e-government: Challenges and Future Trends Shareef, Shareef M
Informatics and Software Engineering Vol. 2 No. 1 (2024): June 2024
Publisher : SAN Scientific

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58777/ise.v2i1.191

Abstract

The tremendous rise of data and information and the increase in computer processing in e-governments has significantly changed how the government makes decisions relying on advanced technologies.  This number will grow dramatically, and there is a prominent direction that institutions are considering the use of advanced technology to assist in delivering services and making daily decisions. The use of developed technologies, such as Machine Learning (ML), is believed appropriate in an effort to turn the massive amount of information in this extend of data into a meaningful one, and ease of analysis.  Machine Learning is a technology that can handle huge data and classification for statistics or even more complex purposes, such as data analysis and decision making. The applications of ML are being used to improve the current state of e-government services by reducing processing times, lowering costs, and increasing citizen satisfaction. However, this technology still confronts a number of obstacles that obstruct its use in e-government applications, both for improving e-government systems and for increasing e-government-citizen interactions. This paper aims to address and analyse the impact of the use of ML in e-government, and also to see the feasibility of this technology in the e-services provision in developing countries, the Kurdistan Region of Iraq (KRI) in particular. In addition, it highlights the challenges that impact the integration of advanced technology with e-government and discourses on future trends. The main contribution of this paper is that it helps organizations better understand their approaches to machine learning, allowing them to make more informed decisions about how to employ developed technology in the e-government system.   Peningkatan data dan informasi yang luar biasa dan peningkatan pemrosesan komputer di e-government telah secara signifikan mengubah cara pemerintah membuat keputusan dengan mengandalkan teknologi canggih. Machine Learning (ML) adalah teknologi yang dapat menangani data besar dan klasifikasi untuk statistik atau bahkan tujuan yang lebih kompleks, seperti analisis data dan pengambilan keputusan. Aplikasi ML digunakan untuk meningkatkan status layanan e-government saat ini dengan mengurangi waktu pemrosesan, menurunkan biaya, dan meningkatkan kepuasan warga. Namun, teknologi ini masih menghadapi sejumlah kendala yang menghambat penggunaannya dalam aplikasi e-government, baik untuk meningkatkan sistem e-government maupun untuk meningkatkan interaksi e-government-citizen. Makalah ini bertujuan untuk mengatasi dan menganalisis dampak penggunaan ML dalam e-government, dan juga untuk melihat kelayakan teknologi ini dalam penyediaan layanan elektronik di negara-negara berkembang, Wilayah Kurdistan Irak (KRI) pada khususnya. Selain itu, menyoroti tantangan yang berdampak pada integrasi teknologi canggih dengan e-government dan wacana tentang tren masa depan. Kontribusi utama dari makalah ini adalah membantu organisasi lebih memahami pendekatan mereka terhadap pembelajaran mesin, memungkinkan mereka untuk membuat keputusan yang lebih tepat tentang bagaimana menggunakan teknologi yang dikembangkan dalam sistem e-government.
Arduino Based Automatic Ornamental Fish Feeding Intelligent System Yunita, Yunita; Margiono, Reynaldi Ababil; Situmorang, Robi Luis Fernando
Informatics and Software Engineering Vol. 2 No. 1 (2024): June 2024
Publisher : SAN Scientific

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58777/ise.v2i2.238

Abstract

Fish feeding is one of the most important things for the fish farming business in ponds and aquariums. Currently, feeding generally still depends on manual human resources. Therefore, a tool is designed to provide fish feed that can work automatically based on time and schedule. Ornamental Fish Feeder. In Automatic Aquarium is an intelligent system that aims to facilitate feeding so that when fish keepers have a fairly dense activity and find it difficult when going to leave the house for a long time, the fish will remain awake in the process of feeding. The system designed has 5 hardware parts, namely microcontrollers using RTC (Real Time Clock) time parameters,  Arduino as a process, DC motor (Direct Current) as output condition and LCD (Liquid Crystal Display) as user interface and monitoring, Desktop 9v as a voltage source. By using the components of the tool above and some software that supports the running of the tool, the automatic feeding of fish can work according to a schedule that can be set automatically. Scheduling fish feed is given at 13.30-13.35; the Servo Motor will dispense fish feed 2 times using 3 grams of pellets.   Pemberian pakan ikan merupakan salah hal yang sangat penting untuk usaha budidaya ikan di kolam dan aquarium. Saat ini pemberian pakan umumnya masih tergantung pada sumber daya manusia yang bersifat manual, oleh karena itu dirancang alat untuk memberikan pakan ikan yang dapat bekerja secara otomatis berdasarkan waktu dan jadwal. Pemberi Pakan Ikan Hias Di Aquarium Secara Otomatis merupakan sistem cerdas yang bertujuan untuk mempermudah dalam pemberian pakannya, sehingga ketika pemelihara ikan memiliki kesibukan yang cukup padat dan merasa kesulitan ketika akan pergi meninggalkan rumah dalam waktu yang cukup lama, maka ikan akan tetap terjaga dalam proses pemberian pakannya.sistem yang dirancang ada 5 bagian hardware yaitu mikrokontroler menggunakan parameter waktu RTC (Real Time Clock), arduino sebagai proses, motor DC (Direct Current) sebagai kondisi output dan LCD (Liquid Crystal Display) sebagai user interface dan monitoring, Desktop 9v sebagai sumber tegangan. Dengan menggunakan komponen-komponen alat diatas serta beberapa software yang mendukung berjalannya alat, maka pemberian pakan ikan secara otomatis dapat bekerja sesuai dengan penjadwalan yang bisa diatur dengan secara otomatis. Penjadwalan pakan ikan di berikan waktu jam 13.30-13.35, Motor Servo akan mengeluarkan 2 kali pakan ikan dengan menggunakan 3 gram pellet.
Analysis of Land Plot Sales Using the C4.5 Algorithm in Property and Housing Sector Syahrin, Rizky Alfi
Informatics and Software Engineering Vol. 2 No. 1 (2024): June 2024
Publisher : SAN Scientific

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58777/ise.v2i1.239

Abstract

This research examines the application of the C4.5 algorithm in analyzing land plot sales data at PT Piliruma Rosa Land. Using data from two main projects, namely Harmoni Farm House and Nuansa Alam Agroewisata and Luxury, this study aims to build a decision tree model that is effective in predicting consumer interest. The analysis was conducted by evaluating the contribution of various sales attributes, specifically Sold Area and Number of Sold Lots, which proved to have a significant impact on the classification of buyer interest. The results of the model showed an accuracy rate of 91.18%, signifying the effectiveness of the C4.5 algorithm in assisting strategic decision-making in the property sector. The findings provide important insights for real estate developers in optimizing marketing and sales strategies, while offering a reliable analytical method for similar sectors.   Penelitian ini mengkaji penerapan algoritma C4.5 dalam menganalisis data penjualan tanah kavling pada PT Piliruma Rosa Land. Melalui data dari dua proyek utama, yaitu Harmoni Farm House dan Nuansa Alam Agroewisata dan Luxury, penelitian ini bertujuan untuk membangun model pohon keputusan yang efektif dalam memprediksi minat konsumen. Analisis dilakukan dengan mengevaluasi kontribusi dari berbagai atribut penjualan, khususnya luas terjual dan jumlah kavling terjual, yang terbukti memberikan dampak signifikan terhadap klasifikasi minat pembeli. Hasil dari model ini menunjukkan tingkat akurasi sebesar 91.18%, menandakan efektivitas algoritma C4.5 dalam membantu pengambilan keputusan strategis di sektor properti. Temuan ini memberikan wawasan penting bagi pengembang real estat dalam mengoptimalkan strategi pemasaran dan penjualan, sekaligus menawarkan metode analitis yang bisa diandalkan untuk sektor serupa.
Object-Oriented Analysis in Software Engineering: A Systematic Review of the Literature Maulana, Rizqi Mustafa; Husna, Miftahul; Yuni Sugiarti
Informatics and Software Engineering Vol. 2 No. 2 (2024): December 2024
Publisher : SAN Scientific

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58777/ise.v2i2.254

Abstract

This study examines the impact of the application of Object-Oriented Analysis (OOA) in software development on software quality improvement. Using the Systematic Literature Review (SLR) method covering the period from 2019 to 2024, this study identifies key methodologies and practices that contribute to improved software design, component reutilization, flexibility, and scalability. The research methodology involved collecting and evaluating relevant journal articles, with a focus on the use of Unified Modeling Language (UML), design patterns, and refactoring techniques in software development. The results show that the implementation of the OOA significantly improves the modularity of the software, allows for component reutilization, and improves the flexibility and scalability of the system. These findings highlight that the main success factors in the implementation of OO include competence of the development team, effective project management, adequate availability of tools and technology, and good communication and collaboration within the team.   Penulisan ini bertujuan untuk mengkaji dampak penerapan analisis berorientasi objek (OOA) dalam pengembangan perangkat lunak terhadap peningkatan kualitas perangkat lunak. Dengan menggunakan metode tinjauan pustaka sistematis (SLR) yang mencakup periode 2019 hingga 2024, penulisan ini mengidentifikasi metodologi dan praktik kunci yang berkontribusi terhadap peningkatan desain perangkat lunak, kegunaan kembali komponen, fleksibilitas, dan skalabilitas. Metodologi penelitian melibatkan pengumpulan dan evaluasi artikel jurnal yang relevan dengan fokus pada penggunaan Unified Modeling Language (UML), pola desain, dan teknik refaktoring dalam pengembangan perangkat lunak. Hasil penelitian menunjukkan bahwa penerapan analisis berorientasi objek secara signifikan meningkatkan modularitas perangkat lunak, memungkinkan kegunaan kembali komponen, dan meningkatkan fleksibilitas serta skalabilitas sistem. Temuan ini menyoroti bahwa faktor kesuksesan utama dalam penerapan OOA termasuk kompetensi tim pengembang, manajemen proyek yang efektif, ketersediaan alat dan teknologi yang memadai, serta komunikasi dan kolaborasi yang baik dalam tim. Penelitian ini memberikan wawasan berharga bagi pengembang perangkat lunak dan organisasi dalam merencanakan dan mengimplementasikan proyek pengembangan perangkat lunak yang lebih efektif dan efisien, dengan fokus pada peningkatan kualitas perangkat lunak melalui penggunaan OOA. Keterbatasan penelitian ini mencakup cakupan literatur yang ditinjau dan generalisabilitas temuan di berbagai konteks pengembangan perangkat lunak.
Assessing the Predictive Performance of Machine Learning Algorithms: DBNs, Fuzzy ARTMAP, and SVMs Kim, Daehyon
Informatics and Software Engineering Vol. 2 No. 2 (2024): December 2024
Publisher : SAN Scientific

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58777/ise.v2i2.255

Abstract

The field of machine learning is rapidly advancing, and selecting the most suitable algorithm for predictive tasks remains a critical challenge. This study evaluates the predictive performance of three prominent machine learning algorithms: Deep Belief Networks (DBNs), Fuzzy ARTMAP, and Support Vector Machines (SVMs). Experiments on pattern recognition using image data from construction sites showed that DBNs achieved the highest predictive accuracy. In this study, experiments were conducted on a pattern recognition problem using image data from construction sites. The experimental results demonstrated that DBNs exhibited the highest predictive accuracy with the data used in this study. Algorithms such as DBNs, Fuzzy ARTMAP, and SVMs are representative models of machine learning methods, and their predictive power can vary depending on the type of data and the problem context. Therefore, future research should incorporate extended analyses with more diverse datasets and problem domains. Nonetheless, the findings of this study provide valuable guidelines for selecting appropriate algorithms for practical problem-solving and offer practical insights for practitioners aiming to optimize predictive accuracy across various machine learning applications.   Bidang pembelajaran mesin berkembang pesat, dan memilih algoritma yang paling sesuai untuk tugas-tugas prediktif masih merupakan tantangan penting. Studi ini memberikan evaluasi komprehensif terhadap kinerja prediktif dari tiga algoritma pembelajaran mesin terkemuka: Deep Belief Networks (DBNs), Fuzzy Adaptive Resonance Theory Mapping (FuzzyARTMAP), dan Support Vector Machines (SVMs). Dalam penelitian ini, percobaan dilakukan pada masalah pengenalan pola menggunakan data gambar dari lokasi konstruksi. Hasil eksperimen menunjukkan bahwa DBN menunjukkan akurasi prediksi tertinggi dibandingkan data yang digunakan dalam penelitian ini. Algoritma seperti DBN, FuzzyARTMAP, dan SVM merupakan model representatif dari metode pembelajaran mesin, dan kekuatan prediksinya dapat bervariasi bergantung pada jenis data dan konteks masalah. Oleh karena itu, penelitian di masa depan harus menggabungkan analisis yang diperluas dengan kumpulan data dan domain masalah yang lebih beragam. Meskipun demikian, temuan penelitian ini memberikan pedoman berharga dalam memilih algoritma yang tepat untuk pemecahan masalah praktis dan menawarkan wawasan praktis bagi para praktisi yang ingin mengoptimalkan akurasi prediksi di berbagai aplikasi pembelajaran mesin.
BRI Mobile M-Banking User Satisfaction Analysis using Technology Acceptance Model Putra, Bayu Prasetya
Informatics and Software Engineering Vol. 2 No. 2 (2024): December 2024
Publisher : SAN Scientific

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58777/ise.v2i2.268

Abstract

In early February 2019, PT Bank Rakyat Indonesia (Persero) launched BRI Mobile, an e-banking service designed for its customers. Bank Rakyat Indonesia utilizes satisfaction surveys to engage with and prioritize its customers. Findings from these surveys are used to evaluate the bank's performance. The bank conducts annual customer satisfaction surveys to measure service quality and customer satisfaction index, which is based on customer expectations and the company's reputation and experience. The Technology Acceptance Model (TAM), developed by Davis in 1989, is widely used to assess the utilization and recognition of information systems and technologies by individual clients. Studies have shown that computer usage behavior is influenced by perceived usefulness and ease of use. The research findings indicate that 83% of the factors influencing user satisfaction of the BRImo application can be explained by the model, as indicated by a coefficient of determination value of 0.838.   BRI Mobile telah diperkenalkan oleh PT Bank Rakyat Indonesia (Persero) pada awal tahun 2019 pada bulan Februari. Bank Rakyat Indonesia menciptakan aplikasi BRI Mobile sebagai layanan e-Banking bagi nasabahnya. Survei kepuasan merupakan salah satu cara yang digunakan BRI untuk berkomunikasi, menjaga hubungan dan menjadikan nasabah sebagai pemangku kepentingan yang penting. Temuan dari Bank BRI dapat dijadikan alat untuk mengukur kinerja Bank BRI. Di antaranya, melakukan survei kepuasan pelanggan tahunan melalui survei kualitas layanan dan kemitraan telepon. Indeks kepuasan pelanggan yang diperoleh dari survei partisipasi pelanggan yang dilakukan pada 1-5 poin, dan indeks kepuasan pelanggan yang diperoleh dari kualitas layanan penjualan fasilitas, pelayanan yang baik diharapkan pelanggan berdasarkan reputasi dan pengalaman perusahaan. (Technology Acceptance Model) disempurnakan oleh Davis (1989) adalah salah satu bentuk penelitian paling terkenal akan menilai pemanfaatan dan pengakuan kerangka data dan inovasi bagi masing-masing klien. Sejumlah penelitian yang meneliti perilaku penerimaan teknologi individu dalam berbagai sistem informasi mendukung generalisasi TAM. Menurut model TAM, perilaku penggunaan komputer dipengaruhi oleh dua faktor: manfaat yang dirasakan dan kemudahan penggunaan. Berdasarkan hasil didapatkan nilai koefisien determinasi 0,838 bearti 83% Faktor yang berpengaruh kepuasan pengguna aplikasi BRImo.
Linear Regression Analysis to Predict the Percentage of Smoking in the Population Age 15 Years and Over Riziq Shihab, Muhammad Alfata; Napiah, Musriatun
Informatics and Software Engineering Vol. 2 No. 2 (2024): December 2024
Publisher : SAN Scientific

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58777/ise.v2i2.328

Abstract

Smoking is a serious public health problem in many countries, including Indonesia, as it can cause diseases such as lung cancer, heart disease and respiratory disorders. According to data from the Ministry of Health of the Republic of Indonesia, the prevalence of smoking among the population aged 15 years and above is still high. This study uses secondary data from the Central Bureau of Statistics (BPS) that records the percentage of smoking in the population aged 15 years and above by age group from 2019 to 2023. With this data, a linear regression algorithm was applied using RapidMiner to predict the percentage of smoking in 2024. The analysis showed that out of 11 age groups, 6 age groups experienced an increase in smoking percentage from the previous year: 15-19, 20-24, 25-29, 30-34, 55-59, and 60-64. Meanwhile, the other 5 age groups experienced a decrease: 35-39, 40-44, 45-49, 50-54, and 65+. Evaluation of the prediction model using root mean squared error (RMSE) resulted in a value of 0.4 +/- 0.000. This RMSE value indicates that the model has a low error rate, making it reliable for predicting the percentage of smoking by age group in Indonesia.   Merokok adalah masalah kesehatan masyarakat yang serius di banyak negara, termasuk Indonesia, karena dapat menyebabkan penyakit seperti kanker paru-paru, penyakit jantung, dan gangguan pernapasan. Menurut data Kementerian Kesehatan Republik Indonesia, prevalensi merokok di kalangan penduduk usia 15 tahun ke atas masih tinggi. Penelitian ini menggunakan data sekunder dari Badan Pusat Statistik (BPS) yang mencatat persentase merokok penduduk usia 15 tahun ke atas berdasarkan kelompok umur dari tahun 2019 hingga 2023. Dengan data ini, algoritma regresi linear diterapkan menggunakan RapidMiner untuk memprediksi persentase merokok pada tahun 2024. Hasil analisis menunjukkan bahwa dari 11 kelompok umur, terdapat 6 kelompok umur yang mengalami peningkatan persentase merokok dari tahun sebelumnya: 15-19, 20-24, 25-29, 30-34, 55-59, dan 60-64. Sementara itu, 5 kelompok umur lainnya mengalami penurunan: 35-39, 40-44, 45-49, 50-54, dan 65+. Evaluasi model prediksi menggunakan root mean squared error (RMSE) menghasilkan nilai 0.884 +/- 0.000. Nilai RMSE ini menunjukkan bahwa model memiliki tingkat kesalahan yang rendah, sehingga dapat diandalkan untuk memprediksi persentase merokok berdasarkan kelompok umur di Indonesia.
An Integrated Operations Management System for Enhancing Administrative Efficiency in Ghana's District Assemblies Brown, Philip; Bankas, Edem Kwedzo
Informatics and Software Engineering Vol. 2 No. 2 (2024): December 2024
Publisher : SAN Scientific

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58777/ise.v2i2.348

Abstract

The COVID-19 pandemic, driven by the SARS-CoV-2 virus, necessitated an unprecedented shift to remote work, revealing critical gaps in digital infrastructures capable of maintaining organizational operations. This challenge was particularly pronounced in district assemblies in Ghana, where traditional, paper-based workflows impeded the transition to remote environments, heightening operational vulnerabilities. Despite the World Health Organization (WHO) downgrading COVID-19 as a Public Health Emergency of International Concern (PHEIC), the global ramifications of the virus and potential for future pandemics underscore the need for resilient, adaptable digital solutions. This paper presents an online integrated business operation management system tailored for district assemblies in Ghana. The system was developed using the Rapid Application Development (RAD) methodology, facilitating rapid, iterative deployment and user-centric design. Technologies such as HTML, CSS, and PHP were utilized for the front-end, while MySQL ensured secure and efficient back-end data management. The approach helped to digitize core administrative processes and transition from paper-based operations to streamlined electronic workflows. The implemented system successfully digitalized essential administrative workflows, improving operational continuity and efficiency. By replacing conventional procedures with robust electronic processes, the system provides a sustainable framework for enhanced functionality in public sector management. Furthermore, it strengthens organizational preparedness for future disruptions, ensuring resilience in remote and hybrid work contexts. The scope of this research is limited to district assemblies in Ghana, which may constrain the generalizability of the findings to other administrative contexts or geographical regions. Further studies could explore customization for broader governmental structures and assess long-term impacts on service delivery and user satisfaction. This paper presents a novel application of digital transformation principles within the public sector, addressing a critical gap in e-governance solutions for district assemblies in Ghana. By integrating user-focused design and scalable technology, the proposed system not only meets current administrative demands but also positions district assemblies for enhanced functionality and resilience in the face of future challenges.

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