cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Verdi Yasin
Contact Email
verdiyasin@jayakarta.ac.id
Phone
-
Journal Mail Official
jisicom@stmikjayakarta.ac.id
Editorial Address
-
Location
Kota adm. jakarta pusat,
Dki jakarta
INDONESIA
JISICOM (Journal of Information System, Infomatics and Computing)
Published by Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta
ISSN : 25795201     EISSN : 25973673     DOI : -
Core Subject : Science,
Computer Science & IT
JISICOM (Journal of Information System, Informatics and Computing) , ini, diterbitkan oleh Program Studi Teknik Informatika, Sistem Informasi dan Lembaga Pengembangan, Penelitian dan Pengabdian Masyarakat, Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta.
Arjuna Subject : -
Articles 308 Documents
 27   28   29   30   31 
PENGEMBANGAN LANJUTAN APLIKASI MONITORING LOGISTIK SIMTELOG DENGAN OPTIMALISASI VISUALISASI DATA GUDANG DINAS INFORMASI DAN PENGOLAHAN DATA Faried, Ikhwan Muhammad; Lediwara, Nadiza
Journal of Information System, Informatics and Computing Vol 9 No 2 (2025): JISICOM (December 2025)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisicom.v9i2.2190

Abstract

Pemantauan logistik di Disinfolahtaau belum optimal karena sistem SIMTELOG yang ada terbatas pada tampilan tabel. Penelitian ini bertujuan mengembangkan sistem Air Force Logistics System (AIRLOGS) dengan fokus optimalisasi visualisasi data inventaris dan transaksi melalui dashboard interaktif , serta merancang manajemen akses pengguna untuk tiga level peran. Metode yang digunakan adalah Incremental Model dengan implementasi backend Laravel dan frontend ReactJS. Hasil penelitian adalah sistem AIRLOGS fungsional yang telah teruji Black Box. Sistem ini berhasil menyajikan data logistik secara visual interaktif dan menerapkan manajemen akses berbasis peran, sehingga mempermudah pemantauan dan pengambilan keputusan.
PREDIKSI KASUS DEMAM BERDARAH DENGUE DI KABUPATEN BOGOR MENGGUNAKAN METODE ANN Hafidz, Ilham; Murniyati, Murniyati
Journal of Information System, Informatics and Computing Vol 9 No 2 (2025): JISICOM (December 2025)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisicom.v9i2.2219

Abstract

Demam Berdarah Dengue (DBD) menjadi masalah kesehatan signifikan di Kabupaten Bogor dengan fluktuasi kasus yang sangat dipengaruhi oleh faktor iklim. Penelitian ini bertujuan merancang dan membangun model prediksi untuk memproyeksikan jumlah kasus DBD tahunan berdasarkan data iklim historis. Metode yang digunakan adalah Artificial Neural Network (ANN) dengan algoritma Backpropagation, dilatih menggunakan data deret waktu dari 2014-2023 yang mencakup variabel iklim (curah hujan, suhu, dan kelembapan) sebagai input. Melalui serangkaian eksperimen manual tuning untuk mengatasi underfitting dan overfitting, ditemukan konfigurasi model final terbaik dengan arsitektur [33 18] dan parameter regularisasi 0.4. Model menunjukkan kinerja kuat pada data latih (RMSE = 280.7; R² = 0.89). Validasi pada data uji 2024 menunjukkan kemampuan generalisasi yang tinggi, dengan RMSE 186.8 (error ~5.5%) dan R² 0.99. Implementasi model menghasilkan prediksi 1484 kasus DBD untuk tahun 2025. Hasil ini menunjukkan bahwa model ANN yang dikembangkan dapat menjadi alat pendukung keputusan yang andal bagi pemangku kepentingan kesehatan.
ANALISIS SENTIMEN KOMENTAR YOUTUBE TERHADAP PERILISAN IPHONE 17 SERIES MENGGUNAKAN ALGORITMA NAIVE BAYES Kamilah, Faniah Iftitakhul; Rochman, Muhammad Zaini; Rosyid, Harun Al
Journal of Information System, Informatics and Computing Vol 9 No 2 (2025): JISICOM (December 2025)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisicom.v9i2.2198

Abstract

Perilisan iPhone 17 Series memicu reaksi beragam di platform YouTube yang mencerminkan opini publik. Penelitian bertujuan untuk menganalisis sentimen komentar masyarakat menggunakan algoritma Naive Bayes. Data komentar dikumpulkan melalui teknik scraping, melalui tahapan preprocessing, dan dilabeli secara otomatis menggunakan model Indonesian RoBERTa. Hasil evaluasi terhadap 1.849 data uji menghasilkan akurasi sebesar 61%. Performa model menunjukkan kemampuan yang baik dalam menangkap kritik pengguna, ditandai dengan recall sentimen negatif sebesar 0.71. Sementara itu, sentimen positif teridentifikasi dengan precision 0.64 dan sentimen netral dengan recall 0.50. Penelitian ini menyimpulkan bahwa respons pasar terpolarisasi antara kritik dan apresiasi, serta membuktikan bahwa Naive Bayes mampu mengklasifikasikan opini dengan performa yang cukup seimbang pada seluruh kategori sentimen.
SISTEM PENDUKUNG KEPUTUSAN UNTUK MEMILIH MOBIL BEKAS DI FAMILY GARAGES DENGAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) Ahmad Ferdiyansyah; Ahmad Suryadi; Budi Santoso
Journal of Information System, Informatics and Computing Vol 10 No 1 (2026): JISICOM (June 2026)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisicom.v10i1.2024

Abstract

This research aims to develop a Decision Support System (DSS) to assist consumers and management at Family Garages in selecting the best second-hand cars in an objective and systematic manner. The system is designed using the Simple Additive Weighting (SAW) method, which effectively processes various important criteria such as price, production year, engine condition, mileage, and fuel consumption. With this system, the car selection process, which was previously manual and subjective, can now be carried out based on structured calculations that provide more accurate recommendations according to user preferences. Additionally, the system aims to improve decision-making efficiency and support Family Garages in providing better services to customers. It is expected that the implementation of this system will lead to more accurate, efficient decisions in purchasing second-hand cars, reducing the risk of errors in car selection. The system also has the potential to increase customer satisfaction and trust in the services provided by Family Garages.
METODE KLASIK DALAM PENGAMBANGAN WEB SISTEM INFORMASI KOMUNITAS MARVEL INDONESIA Ani Rachmaniar; Susi Widayati; Kokoy Rokoyah
Journal of Information System, Informatics and Computing Vol 10 No 1 (2026): JISICOM (June 2026)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisicom.v10i1.2368

Abstract

Hobby-based communities play a crucial role in connecting individuals with shared interests, including the Marvel fan community in Indonesia, which encompasses comics, feature films, and even action figure collections. However, limited access to official information about community activities hinders the public from learning more about its existence and activities. Therefore, a structured and easily accessible information medium is needed. The system development method in this research was conducted through data collection using literature studies and internet sources related to the activities of the Indonesian Marvel Community. Next, a web-based information system was designed and built using PHP as the backend programming language and MySQL as the database. This system was developed to present integrated information, including a community profile, a brief history, a schedule of upcoming activities, documentation of past activities, and visitor reviews. The results of the study indicate that the developed information system is able to meet the need for providing official information regarding community activities in a more effective and structured manner. Furthermore, this system also demonstrates that the Indonesian Marvel Community has a broad reach, not only centered in the capital but also spread across various major cities in Indonesia. The presence of this system is expected to increase community participation and have a positive impact on individuals with similar interests through the provision of accurate and easily accessible information.
ANALISIS PENERAPAN AUTO SCALING DAN LOAD BALANCING PADA WEB SERVER DI LINGKUNGAN OPENSTACK Bagas Styawan; Husain Husain; Kurniadin Abdul Latif; I Putu Hariyadi; Khairan Marzuki
Journal of Information System, Informatics and Computing Vol 10 No 1 (2026): JISICOM (June 2026)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisicom.v10i1.2302

Abstract

The increasing number of users and web service requests demands a system capable of dynamically adjusting resource capacity to maintain performance and service availability. One solution is the use of load balancing combined with automatic scaling (auto scaling) in the OpenStack environment. This study analyzes the performance of a load balancer system using an auto scaling approach on the Apache2 web server in OpenStack. The methodology employed is the Network Development Life Cycle (NDLC), which includes the Analysis phase to identify system requirements and resources. The Design phase covers the design of network topology and testing scenarios, while the Simulation phase involves the installation and configuration of OpenStack. Testing was conducted using three scenarios: CPU load, HTTP requests, and memory load, each performed five times. Monitoring was carried out using Gnocchi services. The results indicate that the system effectively responds to increasing load while maintaining web service stability. CPU load testing showed an average scale-up time of 583 seconds and scale-down time of 213 seconds. HTTP request testing with 1,000,000 requests resulted in an average scale-up of 543 seconds and scale-down of 297 seconds, while memory load testing produced a scale-up of 561 seconds and scale-down of 81 seconds. In conclusion, the implementation of load balancing with auto scaling is considered effective, although Gnocchi metrics are aggregate and do not fully represent real-time conditions.
ANALISA WEBSITE MYDX MENGGUNAKAN METODE WEBQUAL 4.0 DI LINGKUNGAN DIVISI WHOLESALE SERVICE Dika Wahyu Wibowo; Astriana Mulyani
Journal of Information System, Informatics and Computing Vol 10 No 1 (2026): JISICOM (June 2026)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisicom.v10i1.2348

Abstract

The MyDX website is an internal system used by employees of the Wholesale Service Division to support payment administration and document management processes. In its implementation, several issues have been identified, particularly related to usability, clarity of information, and interaction quality, which may affect user satisfaction. This study aims to analyze the influence of website quality on user satisfaction using the WebQual 4.0 method, which consists of three dimensions: usability, information quality, and interaction quality. This research employed a quantitative approach by distributing questionnaires to 62 respondents selected using the Slovin formula. The data were analyzed using IBM SPSS through validity testing, reliability testing, and multiple linear regression analysis. The results indicate that partially, usability (Sig. 0.043 < 0.05) and interaction quality (Sig. < 0.001 < 0.05) have a significant effect on user satisfaction, while information quality (Sig. 0.244 > 0.05) does not have a significant effect. Simultaneously, the three website quality dimensions significantly influence user satisfaction.
IMPLEMENTASI RAPID APPLICATION DEVELOPMENT DALAM PENULISAN ULANG TOTAL PHP VERSION MANAGER ASDF-PHP Kosdiana Kosdiana; Desi Diana; Mohamad Saefudin
Journal of Information System, Informatics and Computing Vol 10 No 1 (2026): JISICOM (June 2026)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisicom.v10i1.2369

Abstract

This study discusses the application of the Rapid Application Development (RAD) methodology in a complete rewrite of the asdf-php plugin by integrating the php-build build engine. Previous versions of the asdf-php plugin faced various challenges, such as high code complexity and installation failures on modern operating systems. However, this plugin plays a crucial role in supporting the PHP ecosystem. Therefore, improvements were needed through a more effective development approach. In this study, the authors applied the RAD methodology to accelerate the software development process. The stages involved included requirements planning, user design, construction, and the final implementation (cutover) phase. This approach enabled an iterative and adaptive development process, facilitating adjustments to system requirements. The result of this study is a new plugin infrastructure that functions as an efficient wrapper over php-build. Automated testing demonstrated improved installation reliability and overall system stability. Furthermore, the application of the RAD methodology proved effective in producing open source software that is more efficient, easier to maintain, and able to leverage mature community components.
SEGMENTASI DAN KLASIFIKASI LESI KULIT MENGGUNAKAN YOLO V11 Rahayu Noveandini; Maria Sri Wulandari; Farhan Rasyad
Journal of Information System, Informatics and Computing Vol 10 No 1 (2026): JISICOM (June 2026)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisicom.v10i1.2385

Abstract

Skin cancer poses a serious threat if not detected early. Limited access to dermatology services calls for a reliable digital solution. This study proposes DermaScan, a web application for the early diagnosis of skin cancer based on the YOLOv11 model, capable of simultaneously segmenting and classifying skin lesions. The model was trained using the pre-processed HAM10000 dataset, including data augmentation and conversion of annotations to the YOLO format. The training process utilized a GPU and mixed precision for efficiency. Evaluation results demonstrate high performance with mAP50 = 0.91 and mAP50-95 = 0.735 for detection, as well as mAP50 (Seg) = 0.905 and mAP50-95 (Seg) = 0.706 for segmentation, proving good accuracy in mapping and identifying lesions. The best performa model is implemented into a web application using Flask (backend) and React.js (frontend) with a single-page application interface. Users can upload images of lesions and receive real-time prediction results, including disease type, severity level, and medical recommendations. DermaScan serves as a fast and easily accessible non-invasive screening tool. This system has the potential to raise public awareness and support healthcare professionals in the early detection of skin cancer, although it is not a substitute for clinical diagnosis
Implementasi Teknik Normalisasi Basis Data untuk Menghindari Redundansi Data pada Sistem Penjualan Suriyati Suriyati; Heroe Santoso; Muhamad Azwar; Miftahul Madani; Ismarmiaty Ismarmiaty; Muhammad Innuddin; Mudawil Qulub; I Made Yadi Dharma; Muhamad Wisnu Alfiansyah
Journal of Information System, Informatics and Computing Vol 10 No 1 (2026): JISICOM (June 2026)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisicom.v10i1.2354

Abstract

In today's digital era, efficient information management is key to a business's operational success. In the sales sector, high transaction volumes generate vast amounts of data daily. However, many sales systems still face a classic data architecture problem: data redundancy, or unnecessary duplication of information. Data redundancy is not simply a matter of inefficient storage; it directly impacts the emergence of data anomalies. When the same data is stored in multiple locations, the risk of information inconsistency during updates, deletions, and insertions is very high. Inconsistent data can mislead management in decision-making, for example, errors in inventory reports or financial recapitulations. The main objective of this research is to eliminate data redundancy and prevent anomalies in the sales system to ensure information integrity. Through systematic table organization, this research seeks to create a more efficient and accurate database architecture to support management decision-making. The method used is structured analysis through data decomposition stages. The process begins with collecting raw (unnormalized) transaction data, which is then processed through the 1NF, 2NF, and 3NF stages. The final stage involves validating the Create, Read, Update, and Delete (CRUD) functions to ensure the consistency of the new schema. The desired result is an optimal relational database schema, where data is logically distributed into specific, interconnected tables. This implementation will result in a lighter system, efficient storage usage, and error-free sales reporting.

Page 30 of 31 | Total Record : 308

 27   28   29   30   31 

Filter by Year

2017 2026


Reset
Filter By Issues
All Issue Vol 10 No 1 (2026): JISICOM (June 2026) Vol 9 No 2 (2025): JISICOM (December 2025) Vol 9 No 1 (2025): JISICOM (June 2025) Vol 8 No 2 (2024): JISICOM (July-December 2024) Vol 8 No 1 (2024): JISICOM (January-June 2024) Vol 7 No 2 (2023): JISICOM (December 2023) Vol 7 No 1 (2023): JISICOM (June 2023) Vol 6 No 2 (2022): JISICOM: December 2022 Vol 6 No 1 (2022): JISICOM: June 2022 Vol 5 No 1 (2021): JISICOM : Volume 5, Nomor 1, Juni 2021 Vol 5 No 2 (2021): JISICOM: December 2021 Vol 4 No 2 (2020): JISICOM : Volume 4, Nomor 2, December 2020 Vol 4 No 1 (2020): JISICOM : Volume 4, Nomor 1, Juni 2020 Vol 3 No 2 (2019): JISICOM : Volume 3, Nomor 2, December 2019 Vol 3 No 1 (2019): JISICOM : Volume 3, Nomor 1, Februari 2019 Vol 2 No 2 (2018): JISICOM : Volume 2, Nomor 2, December 2018 Vol 2 No 1 (2018): JISICOM : Volume 2, Nomor 1, Februari 2018 Vol 1 No 1 (2017): JISICOM : Volume 1, Nomor 1, September 2017 More Issue