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JSAI (Journal Scientific and Applied Informatics)
Published by Universitas Muhammadiyah Bengkulu
ISSN : 26143062     EISSN : 26143054     DOI : -
Core Subject : Science,
Computer Science & IT
Jurnal terbitan dibawah fakultas teknik universitas muhammadiyah bengkulu. Pada jurnal ini akan membahas tema tentag Mobile, Animasi, Computer Vision, dan Networking yang merupakan jurnal berbasis science pada informatika, beserta penelitian yang berkaitan dengan implementasi metode dan atau algoritma.
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Articles 32 Documents
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Search results for , issue "Vol 7 No 2 (2024): Juni" : 32 Documents clear
Studi Literatur Pemodelan Smart-Posyandu sebagai Platform Pengawasan dan Pencegahan Stunting pada Anak Ramayanti, Desi
JSAI (Journal Scientific and Applied Informatics) Vol 7 No 2 (2024): Juni
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v7i2.5939

Abstract

This study examines the implementation of the Smart-Posyandu platform as an innovative solution for monitoring and controlling stunting in children under five years old (toddlers) in Indonesia. The primary focus is on addressing the challenge of stunting, an indicator of developmental failure in toddlers, often caused by inadequate nutrition and repeated infections. The research findings indicate that the implementation of Smart-Posyandu, with features such as monitoring child growth, managing nutritional status, educating pregnant women on nutrition, and integrating with health services, can enhance the effectiveness of monitoring and intervening in stunting. The study also highlights the importance of collaboration among healthcare workers, the community, and the government in stunting prevention efforts. Recommendations include field implementation of the application, raising community awareness, integrating health systems, developing technology, and strategic collaboration. These findings contribute to the knowledge of applying information technology in public health and support the vision of Smart Government development in Indonesia, particularly in efforts to improve toddler health and reduce stunting.
Pengembangan Sistem Informasi Sekolah Dasar Menggunakan Information Systems Implementation Research Method (ISI-RM) Alam, RG Guntur; selviani, pebi
JSAI (Journal Scientific and Applied Informatics) Vol 7 No 2 (2024): Juni
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v7i2.6202

Abstract

Saat ini penyampaian informasi yang dilakukan oleh Sekolah Dasar masih sangat kurang, penyampaian informasi yang digunakan hanya berupa spanduk dan informasi lisan. Dengan demikian, penyebaran informasi tentang Sekolah Dasar dinilai kurang efektif dan masih terdapat banyak kekurangan, seperti konten informasi yang terbatas dan cakupan penyebaran informasi yang tidak luas. Setelah beberapa dekade pada pengembangan penelitian sistem informasi pada bidang pembahasan tertentu berfokus pada implementasi dan penggunaan sistem informasi. Maka pada penelitian ini akan menggunakan pendekatan Information Systems Implementation Research Method (ISI-RM) dimana pada metode ini dikembangkan pendekatan metode penelitian baru dengan menggabungkan dua pendekatan kualitatif dan kuantitatif berdasarkan teori yang relevan. Hasil dari pengelitian ini yaitu pengembangan prototype sistem informasi dapat dikembangkan dengan sangat baik menggunakan pendekatan ISI-RM. Hasil ini dapat dibuktikan berdasarkan hasil pengukuran tingkat keberhasilan pengembangan prototype menggunakan teknik blackbox dengan menggunakan aspek functionality mendapatkan rata-rata nilai X lebih dari 0,5 dan mendekati 1, yaitu 0,786. Sedangkan berdasarkan aspek usability mendapatkan hasil kelayakan 94,21%.
PENGGUNAAN METODE SYSTEM USABILITY SCALE (SUS) PADA APLIKASI SIMAMURAT Alam, RG Guntur; Puji Rahayu Kurniasih
JSAI (Journal Scientific and Applied Informatics) Vol 7 No 2 (2024): Juni
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v7i2.6209

Abstract

The application of an information system in a State University as an education provider is very important to obtain faster and more accurate information. One of the application systems used at Fatmawati Sukarno State Islamic University Bengkulu is the Mail Management Information System (SIMAMURAT). To determine the level of usefulness of a system / application, it is necessary to do testing. Testing can be done using the System Usability Scale (SUS) method. System Usability Scale (SUS) is one approach used to measure the level of usability or usability of a system or product based on user perception. This method was developed by John Brooke in 1986 and has become one of the standard methods in usability evaluation. The average score obtained from the calculation of SUS respondents using the SIMAMURAT application is 70.03. From these results, it can be seen that the Percentil Rank in the SIMAMURAT application is in the Good category, while the Grade in the SIMAMURAT application is C which shows the average, for Adjectives in this study it is classified as OK, while in Acceptability it is in the marginal category and for NPS classification, it is passive. From the results of this study, it can be concluded that the SIMAMURAT Application can be declared feasible based on Usability based on the SUS method.
Perancangan dan Implementasi Sistem Aplikasi untuk Meningkatkan Efisiensi dan Efektivitas Kegiatan Lembaga Riset dan Pengabdian Masyarakat (LRPM) Ramayanti, Desi; Hidayat, Ryan; Hanafi, Muhammad; Apriani, Ari
JSAI (Journal Scientific and Applied Informatics) Vol 7 No 2 (2024): Juni
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v7i2.6255

Abstract

This study aims to develop an efficient and effective information system for the Research and Community Service Institute (LRPM) using the Rapid Application Development (RAD) method. RAD was chosen for its capability to produce rapid system development with iterations that allow adaptation to changing needs. The research methodology includes planning, design, implementation, and system testing. The system development involved the use of PHP with Laravel as the framework and MySQL as the database. The results indicate that the developed LRPM information system successfully met all the predefined functional requirements, including modules for login, registration, proposal submission, proposal tracking, and data management by the admin. System testing using the black box testing method resulted in a functionality score of 100%, indicating that the system operates according to expectations and is ready for use. This system is expected to improve efficiency and effectiveness in managing research and community service activities at LRPM.
ANALISIS QOS DENGAN STANDARISASI TIPHON PADA LAYANAN TRIPLE PLAY MENGGUNAKAN GPON DI PT XYZ) Aldiansyah; Boy Yuliadi
JSAI (Journal Scientific and Applied Informatics) Vol 7 No 2 (2024): Juni
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v7i2.6256

Abstract

This research aims to assess the Quality of Service (QoS) in Triple Play services utilizing Gigabit Passive Optical Network (GPON) technology at PT XYZ. The research focuses on implementing the TIPHON standard (Telecommunications and Internet Protocol Harmonization Over Networks) as a framework for evaluating service quality. The research methodology involves a survey of QoS parameters, including download speed, upload speed, and voice call quality. Additionally, the study includes an evaluation of GPON network performance based on the TIPHON standard. The results indicate that the implementation of the TIPHON standard enhances QoS in Triple Play services through GPON infrastructure at PT XYZ, with a significant improvement in QoS parameters. The analysis of GPON network performance, considering the TIPHON standard, aids in identifying areas for improvement to enhance efficiency and service quality.
Analisis Manajemen Layanan TI pada Kebangkrutan E-commerce jd.id Menggunakan Kerangka Kerja Infrastructure Technology Information Library (ITIL v3) Anggriani, Kurnia; Ferzha Putra Utama; Okta Piani, Sri; Vatresia, Arie; Bismantolo, Putra
JSAI (Journal Scientific and Applied Informatics) Vol 7 No 2 (2024): Juni
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v7i2.6348

Abstract

E-commerce has recently become a place that is in great demand by consumers to shop. In general, e-commerce is a term used to describe the sale of goods and services via the internet. Among the many e-commerce services in Indonesia, one of them is JD.id. This research aims to look at the IT services used by JD.id previously by looking at the processes of domain service operations with the ITIL V3 framework and finding out the extent of management of the IT services used by JD.id before JD.id closed. The method used in this research is a quantitative descriptive method and the assessment of the results of this research is based on the answers to the questionnaire given to respondents using a Likert scale. The sample taken was 100 people who were JD.id users. The data sources obtained in this research are primary data and secondary data. The data analysis carried out was calculating the Maturity Level of the Service Operation subdomain. The results of the research obtained the lowest value, namely the problem management variable with a value of 3.70, meaning that the JD.id marketplace is still not very optimal in terms of preventing incidents from occurring and there is no permanent improvement process and is not very optimal in terms of continuous service improvement. However, the overall maturity level (Maturity Level) on average is at level 4 with a score of 3.97 this means that the IT service processes in the JD.id marketplace have been planned and implemented well and consistently, but automation with the information technology tools used is limited.
Evaluasi Pengalaman Pengguna Aplikasi PLN Mobile Menggunakan Metode User Experience Questionnaire Plus (UEQ+) Zulpa Salsabila; Fandi Halim; Viviyanty; Regina Ave Rameyana Berutu; Jekson Tua Sinamo
JSAI (Journal Scientific and Applied Informatics) Vol 7 No 2 (2024): Juni
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v7i2.6379

Abstract

This research aims to explain the User Experience Questionnaire Plus (UEQ+) Method for Analyzing and Evaluating User Experience on the PLN Mobile Application. PLN Mobile is an online-based PLN application that has been downloaded by 10 million users until research was conducted from 10 May 2023 – 06 June 2023. The results of the PLN Mobile review received positive scores as well as negative reviews. Seeing positive and negative comments by application users, this prompted this research. This research is aimed at obtaining the level of user experience using scientific methods. This research will use the User Experience Questionnaire Plus (UEQ+) method which consists of 8 UEQ+ and also uses Microsoft Excel to analyze the questionnaire data obtained. As an online questionnaire, the scale that will be used in UEQ+ is in accordance with the relevant scale recommendations in the web shop product category. Based on the results of data processing from 404 respondents on each scale, the PLN Mobile application received a positive evaluation value on the scale (intuitive use, dependability, trust, content appropriateness, content quality, clarity, visual aesthetics, value) and received a mean value (1.94, 1.94, 2.03, 2.14, 2.11, 2.12, 2.01, 2.09). The results of all the important rating graph values ​​get positive values. This shows that every scale measured in the PLN Mobile application is important.
Analisis Perbandingan Metode SAW (Simple Additive Weighting), WP (Weight Product) dan SMART (Simple Multi Attribute Rating Technique) Untuk Pemilihan Domba Kurban M Lutfi MA; Kapti; Yeza Febriani
JSAI (Journal Scientific and Applied Informatics) Vol 7 No 2 (2024): Juni
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v7i2.6380

Abstract

In implementing urban worship, it is often difficult for shohibul qurban to determine the quality of urban animals because it has several criteria/requirements that must be met so that the animals are sacrificed according to sharia. This study aims to analyze the decision support system method for selecting qurban animals using the SAW (Simple Additive Weighting), WP (Weight Product), and SMART (Simple Multi-Attribute Rating Technique) methods. The results showed that the WP method has an accuracy rate of 99.998% so this method is the most feasible to use for the selection of sacrificial sheep when compared to the SMART and SAW methods with the calculation results in the level of suitability at 99.994% for the SAW method and 99.876% for the SMART method. Sheep 4 has the highest weight ranking of other sheep in all methods, scoring 0.923 in the SAW method, 0.1727 in the WP method, and 17.8 in the SMART method. Sheep 4 criteria is the ideal criteria for a sacrificial animal.
Komparasi Hasil Algoritma Machine Learning Berbasis HSV Color Model Untuk Klasifikasi Citra Jenis Sayuran Umniy Salamah
JSAI (Journal Scientific and Applied Informatics) Vol 7 No 2 (2024): Juni
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v7i2.6392

Abstract

Currently, research on the classification of vegetables has made many advances. Machine learning has been proposed in recent years and has been created in image recognition, computer vision, and other fields. This study aims to classify vegetable products as part of the research of the classification of objects in charge that are inherently more complex than other subsets of object classification. This study will use the K-Nearest Neighbor (KNN) model to classify vegetable species, but with the addition of HSV color space model features. To see the performance of K-Nearest Neighbor (KNN) against other machine learning algorithms, a comparison will be made with support vector machine algorithms, logistic regression and naïve bayes. From the experimental results, the KNN algorithm got an accuracy of 80.67%, SVM got an accuracy of 72.23%, LR got an accuracy of 61.19%, NB got an accuracy of 48.77% and HSV-KNN got an accuracy of 84.33%.
Perbaikan Kualitas dan Kinerja Klasifikasi Citra Bawah Air dengan Metode CLAHE-CNN Asri, Sri Dianing
JSAI (Journal Scientific and Applied Informatics) Vol 7 No 2 (2024): Juni
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v7i2.6417

Abstract

Research on underwater image analysis is critical because of challenges such as color distortion, low contrast, and noise in images. Various methods have been proposed to overcome this problem. To improve the quality and classification of underwater photos, this study aims to ensure improved performance using Contrast Limited Adaptive Histogram Equalization (CLAHE) and Convolutional Neural Networks (CNN) on underwater image datasets. The dataset consists of 500 JPG image with RGB channel and dimensions of 512 × 512 collected from online sources. There are classifications of sharks, eels, dolphins, sea rays, and whales in the underwater imagery dataset. The experiment was conducted using Python programming language on a computer that had 24GB RAM, Intel® Core™ i7-10510U CPU and hardware properties of Intel® HD Graphics graphics card. The results of this study show how CLAHE improved the CNN classification of underwater imagery by 0.91% in training data, 0.45% in validation data, and 2.02% in test data.

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