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Journal of Intelligent Software Systems
Published by Universitas Teknologi Digital Indonesia
ISSN : -     EISSN : 29627702     DOI : https://doi.org/10.26798/jiss
Core Subject : Science,
Computer Science & IT
Journal of Intelligent Software Systems (JISS) is open access, peer-reviewed international journal that will consider any original scientific article that expands the field of Intelligent Software Systems. The journal publishes articles in all Intelligent Software Systems specialities of interest to Intelligent Software Systems, physicians, and researchers.
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 7 Documents
 1 
Search results for , issue "Vol 3, No 1 (2024): July 2024" : 7 Documents clear
Microservices Architecture in Point of Sales Application Based on Restful API and Webhook Rizki Arif Setiadi; Bambang Purnomosidi; Widyastuti Andriyani Andriyani; Sri Rezeki Candra Nursari
Journal of Intelligent Software Systems Vol 3, No 1 (2024): July 2024
Publisher : LPPM UTDI (d.h STMIK AKAKOM) Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26798/jiss.v3i1.1336

Abstract

Layanan mikro adalah kumpulan proses kecil dan independen yang berkomunikasi dengan satu sama lain untuk membuat aplikasi kompleks yang tidak bergantung pada bahasa API tertentu. Dalam penelitian ini, penulis berupaya mengimplementasikan Microservices Architecture, RESTful API, dan Webhook pada aplikasi Point of Sale untuk mencapai sistem dengan kinerja, kecepatan, dan skalabilitas yang unggul, terutama dalam pertukaran dan komunikasi data.  Penelitian ini menggabungkan dua metodologi pengujian penting, yaitu unit pengujian dan pengujian fungsional, untuk memastikan ketahanan dan keandalan aplikasi Point of Sale berbasis Microservices. Unit pengujian fokus pada validasi masing-masing komponen dan fungsi dalam sistem, sedangkan pengujian fungsional menilai fungsionalitas dan perilaku aplikasi secara keseluruhan. Pendekatan pengujian ini bertujuan untuk meningkatkan kualitas dan kehalusan sistem.  Temuan penelitian ini menunjukkan bahwa implementasi Microservices Architecture berbasis RESTful API dan Webhook berhasil meningkatkan akurasi input data pada aplikasi Point of Sale yang dibuktikan dengan perhitungan pada konfusi matriks. Sebelum diterapkan webhook, akurasinya hanya 80 persen, namun setelah diterapkan, akurasinya meningkat hingga 100 persen
Analyzing Indonesian Football Sentiment Towards PSSI Performance Using Support Vector Machines Faturrahman Hakim; Yuli Astuti
Journal of Intelligent Software Systems Vol 3, No 1 (2024): July 2024
Publisher : LPPM UTDI (d.h STMIK AKAKOM) Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26798/jiss.v3i1.1330

Abstract

Football is a popular and widely engaged sport in Indonesia, attracting individuals across various age groups, including teenagers, adults, and children. The Indonesian Football Association (PSSI), established on April 19, 1930, originally named the All-Indonesian Football Association, is the governing body responsible for managing and overseeing football activities in the country. Despite its long history, PSSI has faced significant criticism for its perceived lack of professionalism in handling and managing Indonesian football. This discontent was notably amplified in the wake of the cancellation of the U-20 World Cup, leading to a surge of negative sentiments on social media platforms, particularly Twitter. This study aims to analyze public opinion regarding PSSI's performance. Public opinion, which emerges in response to various events, tends to be diverse due to the differing perspectives of individuals. The research focuses on assessing the balance between positive and negative sentiments towards PSSI's performance. By employing a comprehensive approach to sentiment analysis, including stages such as data preprocessing, labeling, modeling, and evaluation, this study provides a detailed examination of public sentiment. The methodology involves the application of the Support Vector Machine (SVM) algorithm across four tests with different data splits and the use of the SMOTE technique to address class imbalance. The findings reveal that the fourth test yielded the most effective results in sentiment classification, achieving an accuracy of 70.75\%, precision of 67.16\%, recall of 68.18\%, and an F1 score of 67.66\%
Rule Based System to Support Decisions on Determining Employee Status (Lecturers) for Scholarship Student Graduates Hotma Sadariahta Sipayung; Widyastuti Andriyani; Bambang Purnomosidi Dwi Putranto; Danny Kriestanto
Journal of Intelligent Software Systems Vol 3, No 1 (2024): July 2024
Publisher : LPPM UTDI (d.h STMIK AKAKOM) Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26798/jiss.v3i1.1337

Abstract

Salah satu permasalahan yang terjadi di Universitas Teknologi Digital Indonesia (UTDI) adalah proses seleksi yayasan Dosen Tetap yang disebut-sebut baru untuk diterapkan kepada mahasiswa penerima calon beasiswa S2 di Magister Teknologi Informasi (MTI). UTDI Yogyakarta. Kriteria yang digunakan dalam aturan tersebut adalah Indeks Prestasi (IP) Semester 1, IP Semester 2, IP Semester 3, Indeks Prestasi Kumulatif (IPK), Makalah (karya ilmiah), Kerjasama, Disiplin, Komunikasi, Pra Tesis, Tesis, Nilai C. , dan Durasi Studi yang diperoleh dari MTI UTDI, selanjutnya akan menggunakan Algoritma C4.5 untuk menghasilkan pohon keputusan yang akan dipelajari aturan dalam sistem. Penelitian ini menggunakan kaidah yang diperoleh dari MTI UTDI oleh Ketua Program Studi (Kaprodi) yaitu 41 data latih dan 8 data uji. Menggunakan forward chaining sebagai metode dalam sistem pakar yang mencari solusi melalui permasalahan, kemudian menggunakan Algoritma C4.5 yang merupakan algoritma yang digunakan untuk membentuk pohon keputusan. Aturan yang terbentuk kemudian digunakan untuk memprediksi kelayakan lulusan beasiswa Magister menjadi Dosen Tetap, Dosen Kontrak, atau tidak memenuhi persyaratan. Hasil prediksi tersebut kemudian dievaluasi menggunakan Confusion Matrix dan memperoleh nilai akurasi sebesar 75%, Precision sebesar 77,78%, dan Recall sebesar 77,78%. Sehingga Algoritma C4.5 dengan menggunakan aplikasi RapidMiner cukup layak digunakan untuk mendukung pengambilan keputusan dalam pemilihan mahasiswa penerima beasiswa Magister yang akan diangkat menjadi Dosen Tetap, Dosen Kontrak maupun yang tidak memenuhi syarat sebagai Dosen di UTDI. Fakultas Teknologi Informasi
DATA PIPELINE ARCHITECTURE FOR ACADEMIC INFORMATION SYSTEM AT AKADEMI TEKNIK BIAK Heman Koreri Israel Mnsen; Bambang Purnomosidi; Rikie Kartadie; Didi Kurnaedi
Journal of Intelligent Software Systems Vol 3, No 1 (2024): July 2024
Publisher : LPPM UTDI (d.h STMIK AKAKOM) Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26798/jiss.v3i1.1335

Abstract

In development a information system Intergrated, Architecture planning is the first step must be established. The planning of development in a information system is needed in order to a system can be running according to necessity. The data is used for this research, that is internal data of Biak Technical Academy College and external data of Institution of high education service at IV area in Biak Papua. The main goal of this research is design architecture pipelines data of ATB college. The architecture of pipelines is used for carrying resources of big data from one area to the other area in far distance to be efficiency. The method is used for this research, that is Estract Transform Load (ETL). The process of estract data is needed a special supporting library on apache spark in using library spark session. This spark session is established in order to call data of Biak Technical Academy college with csv extension can be run on apache spark. After the process of estract is established, apache spark will read data with csv extension and establish transform data. The process of transform data csv extension will be loaded in to a frame data as a output of processing ETL The result of research is apache spark technology can be easy for writers in design process information system of Biak Technical Academy and to be one of the best solution in processing Estract Load Transform (ETL) data with the big scale and real-time
Dynamic Bitrate Adjustment in Web-based Video Streaming Applications Using HTTP Live Streaming (HLS) Mabrur Roh Bintang Jaya; Widyastuti Andriyani; Domy Kristomo; Muhammad Agung Nugroho
Journal of Intelligent Software Systems Vol 3, No 1 (2024): July 2024
Publisher : LPPM UTDI (d.h STMIK AKAKOM) Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26798/jiss.v3i1.1344

Abstract

This research aims to implement Adaptive Bit Rate (ABR) in the web-based video streaming application JBTV using HTTP Live Streaming (HLS). ABR is a technique that enables automatic adjustment of video bitrate according to user network conditions, while HLS is a streaming protocol that supports adaptive streaming based on HTTP. The research methodology encompasses requirements analysis, system design, implementation, and evaluation. During the requirements analysis phase, the identification of JBTV application requirements and the features needed to implement ABR with HLS were conducted. System design involves the selection of suitable ABR algorithms and the architecture design of the JBTV application that supports HLS. Implementation is carried out by developing the JBTV application capable of generating variant streams with various bitrates and performing adaptive playback according to network conditions
Deep Learning Architecture for Stock Price Prediction tri andi; Widyastuti Andriyani; Bambang Purnomosidi D.P
Journal of Intelligent Software Systems Vol 3, No 1 (2024): July 2024
Publisher : LPPM UTDI (d.h STMIK AKAKOM) Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26798/jiss.v3i1.1343

Abstract

Dalam dunia investasi saham, kemampuan memprediksi pergerakan harga saham secara akurat sangatlah penting. Dua permasalahan utama yang menjadi fokus penelitian ini adalah, bagaimana pemodelan N-BEATS dibandingkan LSTM dan ARIMA pada harga saham Bank BCA, dan bagaimana hasil peramalan model N-BEATS, LSTM, dan ARIMA pada harga saham Bank BCA. Data saham Bank BCA. Untuk menjawab hal tersebut, penelitian ini membahas tentang pengembangan dan evaluasi model peramalan time series N-BEATS. Namun hasil analisis menunjukkan bahwa model ARIMA menunjukkan kinerja yang unggul, dengan pencapaian MAPE sebesar 0,001% pada data menit, 0,006% pada data jam, dan 0,018% pada data hari. Keunggulan ini signifikan dibandingkan model N-BEATS dan LSTM. Oleh karena itu, model ARIMA menunjukkan potensi besar untuk digunakan dalam peramalan deret waktu keuangan, penilaian risiko, dan pemodelan oleh analis keuangan.
Management Information System for Human Resources at the Operational Bureau of the DIY Regional Police using Agile Development Method Bayu Saputro; Rianto Rianto; Aditya Wahana
Journal of Intelligent Software Systems Vol 3, No 1 (2024): July 2024
Publisher : LPPM UTDI (d.h STMIK AKAKOM) Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26798/jiss.v3i1.1208

Abstract

This research develops Agile Development, particularly Extreme Programming (XP), to create a web-based Human Resource Management Information System for the DIY Regional Police's Operational Bureau. Addressing challenges in personnel data management, the objective is to enhance efficiency and effectiveness. The study involves system needs analysis, design, implementation, and testing. Initial development includes interfaces for employees, administrators, and leaders, featuring personnel data management, leave requests, and announcements. Testing involves White Box, Black Box, and alpha testing by 25 Operational Bureau respondents. Alpha test results reveal high satisfaction with efficiency, data accuracy, and administrative process acceleration. The system effectively reduces human errors in personnel data management. The research concludes that the web-based system is a successful, computerized, organized solution for personnel data management in the Operational Bureau of DIY Regional Police 

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