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All Journal TEKNIK INFORMATIKA Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Teknik Komputer AMIK BSI IJIS - Indonesian Journal On Information System JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika Jurnal Paedagogy Journal of Innovation Information Technology and Application (JINITA) Journal of Informatics, Information System, Software Engineering and Applications (INISTA) Jurnal Teknik Informatika (JUTIF) Journal of Dinda : Data Science, Information Technology, and Data Analytics Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Society: Jurnal Pengabdian Masyarakat IJCOSIN : Indonesian Journal of Community Service and Innovation Jurnal Sistem Informasi dan Bisnis Cerdas Safari : Jurnal Pengabdian Masyarakat Indonesia Jurnal Pengabdian Bisnis dan Akuntansi Soedirman Jurnal Informatika Polinema (JIP) Nusantara Journal of Artificial Intelligence and Information Systems
Amalia Beladinna Arifa
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Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Other

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SISTEM PAKAR DIAGNOSIS HAMA DAN PENYAKIT PADA TANAMAN KANGKUNG MENGGUNAKAN METODE FORWARD CHAINING Nasrulloh, Iffan Ahmad; Raharja, Pradana Ananda; Arifa, Amalia Beladinna
Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 12 No 2 (2022): September 2022
Publisher : STMIK Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33020/saintekom.v12i2.321

Abstract

The production of water spinach vegetable crops in 2020 in Central Java ranks 2nd in water spinach production, which is 29,108 tons. The amount of water in spinach production and the increased risk of being attacked by pests and diseases will be even more significant, and proper care is needed to improve the quality of water spinach. It takes an expert to convey knowledge about controlling pests and diseases that are good and right. From these problems, we developed a system to overcome the problem of water spinach plant disease. This expert system uses the forward chaining method. The results of this study are a pest and disease diagnosis system on water spinach using a website-based forward chaining method with accuracy testing using the confusion matrix method by testing 50 rules. Of 50 data, 45 are considered appropriate, and the results of 5 rules are not relevant, so the evaluation results of this expert system produce system accuracy with a percentage of 90%.
Sistem Pendukung Keputusan Rekomendasi Pemilihan Lahan Tanaman Porang Menggunakan Metode TOPSIS Berbasis Website Aufaresa, Juvandio; Arifa, Amalia Beladinna
Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika Vol 7, No 2 (2024): Juli
Publisher : Akademi Ilmu Komputer Ternate

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47324/ilkominfo.v7i2.260

Abstract

Abstrak: Sistem pendukung keputusan (SPK) merupakan suatu sistem informasi yang dirancang untuk membantu pengambilan keputusan dalam situasi yang kompleks dan tidak sepenuhnya terstruktur. Tanaman porang telah mengalami peningkatan permintaan di pasar ekspor karena memiliki banyak manfaat bagi kesehatan tubuh. Namun, penelitian mengenai pemilihan lahan optimal untuk budidaya porang masih terbatas. Penelitian ini bertujuan mengembangkan sebuah SPK untuk menentukan lahan paling sesuai bagi budidaya porang dengan memanfaatkan metode Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Proses pengambilan keputusan menggunakan metode TOPSIS melalui beberapa tahapan, antara lain penentuan bobot kriteria, normalisasi matriks keputusan, identifikasi solusi ideal positif dan negatif, perhitungan jarak setiap alternatif terhadap solusi ideal, serta perankingan alternatif. Metode penelitian yang digunakan meliputi studi literatur, observasi lapangan, dan wawancara dengan Dinas Pertanian Kabupaten Kudus serta petani porang. Hasil penelitian menunjukkan bahwa lahan di Kecamatan Gebog merupakan alternatif terbaik untuk budidaya porang berdasarkan perhitungan TOPSIS dengan nilai preferensi sebesar 0,882. Pengujian sistem menggunakan metode blackbox testing menunjukkan bahwa SPK yang dikembangkan berfungsi dengan baik dan mampu memberikan rekomendasi yang akurat, serta dapat menjadi alat bantu yang efektif bagi para petani dalam memilih lahan yang paling sesuai untuk budidaya porang.Kata kunci: Sistem Pendukung Keputusan, TOPSIS, Tanaman PorangAbstract: A Decision Support System (DSS) is an information system designed to support decision-making in complex and unstructured situations. Amorphophallus oncophyllus (porang) has seen an increase in demand in the export market due to its numerous health benefits. However, research on selecting optimal land for porang cultivation remains limited. This study aims to develop a DSS to determine the most suitable land for porang cultivation using the Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS). The TOPSIS method's decision-making process involves several stages, including determining criteria weights, normalizing the decision matrix, identifying positive and negative ideal solutions, calculating the distance of each alternative from the ideal solutions, and ranking the other options. Research methods employed include literature review, field observation, and interviews with the Kudus District Agriculture Department and Porang farmers. The results show that the land in Gebog District is the best alternative for porang cultivation based on TOPSIS calculations with a preference value of 0.882. Blackbox testing of the system demonstrates that the developed DSS functions well and can provide accurate recommendations, serving as an effective tool for farmers in selecting the most suitable land for porang cultivation.Keywords: Amorphophallus oncophyllus, Decision Support System, TOPSIS
Pemberdayaan UMKM Melalui Pemasaran Digital Arifa, Amalia Beladinna; Wibowo, Fahrudin Mukti; Alika, Shintia Dwi; Burhanuddin, Auliya; Adhitama, Rifki; Paradise, Paradise
Jurnal Pengabdian Bisnis dan Akuntansi Vol 3 No 2 (2024): Jurnal Pengabdian Bisnis dan Akuntansi Soedirman
Publisher : Jurusan Akuntansi Fakultas Ekonomi dan Bisnis Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32424/1.jpba.2024.3.02.14599

Abstract

In the digital era, the use of information technology has become a key factor in business development, especially for Micro, Small, and Medium Enterprises (MSMEs). This community service program focuses on providing training and mentoring in digital marketing for MSMEs in Brani Village, Cilacap Regency. The program aims to enhance participants’ understanding and skills in utilizing social media platforms, particularly Instagram, to promote local products such as cassava chips, salted eggs, and peyek. The training covers basic digital marketing concepts, content creation strategies, and methods to increase audience engagement. Despite facing challenges like limited digital literacy and infrastructure, the program succeeded in improving participants’ ability to create engaging content and manage online business accounts. This initiative is expected to empower MSMEs to expand their market reach and increase competitiveness through digital transformation.
Human Fall Motion Prediction: Fall Motion Forecasting and Detection with GRU Andi Prademon Yunus; Amalia Beladinna Arifa; Yit Hong Choo
JURNAL TEKNIK INFORMATIKA Vol 17, No 2: JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v17i2.41027

Abstract

The human fall motion prediction system is a preventive tool aimed at reducing the risk of falls. In our research, we developed a deep learning model that utilizes pose estimation to track human body posture and integrated this with a Gated Recurrent Unit (GRU) to forecast human motion and predict falls. GRU, an enhancement of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) models offers improved memorization and more efficient memory usage and performance. Our study presents the human fall motion prediction, which combines the forecasting and classification of potential falls.The CAUCAFall dataset is used as the benchmark of this study, which contains the image sequences of single human motion with ten actions conducted by ten actors. We employed the YOLOv8 Pose model to track the 2D human body pose as the input in our system. A thorough evaluation of the CAUCAFall dataset highlights the effectiveness of our proposed system. Evaluation using the CAUCAFall dataset demonstrates that the model achieved a Mean Per Joint Position Error (MPJPE) of 4.65 pixels from the ground truth, with a 70% accuracy rate in fall prediction. However, the model also exhibited a Mean Relative Error (MRE) of 0.3, indicating that 30% of the predictions were incorrect. These findings underscore the potential of the GRU-based system in fall prevention
Pengembangan Dashboard Data untuk Optimalisasi Layanan dan Literasi Perpustakaan di SD Negeri 2 Berkoh Trihastuti Yuniati; Amalia Beladinna Arifa; Shintia Dwi Alika; Atika Ratna Dewi; Habibah Ratna Fadhila Islami Hana; Vania Noverina; Aprianti Ika Larasati
SAFARI :Jurnal Pengabdian Masyarakat Indonesia Vol. 5 No. 3 (2025): Juli : SAFARI :Jurnal Pengabdian Masyarakat Indonesia
Publisher : BADAN PENERBIT STIEPARI PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/safari.v5i3.2719

Abstract

The development of library management constitutes a crucial aspect in enhancing the quality of education and fostering community literacy. School libraries fulfill a fundamental role as vital learning resource centers; however, numerous institutions continue to encounter significant challenges in operational data management and the effective utilization of technology. This community service initiative aimed to develop and implement a "Dashboard Cerdas"(or Smart Dashboard) to optimize library services at SD Negeri 2 Berkoh. The methodology employed encompassed initial observation, comprehensive data collection pertaining to book characteristics and visitor patterns, the iterative development of the interactive data visualization-based "Dashboard Cerdas", and a subsequent questionnaire-based evaluation. Findings from the field implementation indicate the successful deployment of the "Dashboard Cerdas", which has significantly facilitated systematic and transparent data management. Respondents, comprising library managers and a representative teacher, expressed high levels of satisfaction regarding the improved ease of management and the “Dashboard Cerdas” demonstrated potential in enhancing service effectiveness and stimulating student reading interest. The implications of this system are substantial, it not only augments library operational efficiency and the digital literacy of the staff but also contributes meaningfully to efforts aimed at elevating student literacy through the provision of improved, data-driven library services.
Analysis and Design of UI/UX Sepran Application Using Design Thinking Method Hidayah, Annisa Nur; Arifa, Amalia Beladinna
Journal of INISTA Vol 7 No 1 (2024): November 2024
Publisher : LPPM Institut Teknologi Telkom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/inista.v7i1.1396

Abstract

Abstract Finance is something that must be thought about from a broader perspective. A low level of financial literacy can result in individuals making financial decisions using only speculation, not according to financial analysis sourced from historical data. If the decision taken turns out to be wrong or inappropriate, it will have an impact on financial health in the future. This statement can be overcome by using several financial management applications that provide features to view historical financial expenses and income in a certain period, one of which is the Sepran application: Expenses Manager. However, this Sepran application still has several shortcomings, such as not being able to connect to an e-wallet so that it can only be input manually, the font size and some icons that still look small, and the colours used in expenses. From these problems, a redesign of the Sepran application will be carried out using the design thinking method approach and the System Usability Scale (SUS) to measure the success rate of the designed interface. Design thinking has 5 stages, namely Empathize, Define, Ideate, Prototype, and Test. The first stage, empathize, is the stage of extracting problems. Define is the stage of defining problems, and ideate is the stage of determining ideas from problems that have been defined at the ideate stage. Furthermore, the prototype is a stage where ideas that have been determined at the ideate stage are implemented into low- and high-fidelity designs. The last is the test stage, where this stage will test using SUS through a prototype to get feedback and find out whether the design objectives have been achieved. The purpose of this research is to redesign the Sepran application to meet user needs and analyze the success rate of the interface using SUS. The results obtained an average score of 93.25 and a grade of A. This score indicates that the redesign of the Sepran application is in accordance with user needs.
Analisis User Interface (UI) pada BRIMO (BRI Mobile) menggunakan Pendekatan Metode Pengembangan System Usability Scale (SUS) Rokhmawati, Naeli Fitria; Arifa, Amalia Beladinna
Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika Vol 7, No 1 (2024): Januari
Publisher : Akademi Ilmu Komputer Ternate

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47324/ilkominfo.v7i1.233

Abstract

Abstrak: BRImo memiliki berbagai fitur dalam aplikasi keuangan digital. Tujuan adanya BRImo untuk memudahkan pengguna melakukan transaksi tanpa ke kantor BRI. Salah satu kelebihan BRI mobile yaitu pengguna dapat bertransaksi untuk menggambil uang tanpa memakai kartu ATM akan tetapi, menggunakan aplikasi BRI mobile yang terdapat di smartphone masing – masing pengguna. Kenyataannya BRImo sering mengalami error berdasarkan ulasan pada Google Playstore dimana memiliki rating 4,5 dari 5. Selain rating, user juga memberikan banyak ulasan negatif dibandingkan ulasan positif. Dengan masalah tersebut, maka tujuan penelitian ini yaitu mengetahui kualitas tampilan User Interface dari aplikasi BRImo menggunakan pendekatan metode pengembangan System Usability Scale yang melibatkan 30 responden dari kalangan masyarakat umum yang menggunakan BRImo. Berdasarkan kuesioner yang telah disebarkan, aplikasi BRImo memperoleh skor SUS diatas rata – rata yaitu 69.83 artinya apabila di interpretasi melalui 4 sudut pandang, BRImo ada pada grade D, secara adjective tergolong “OK”, acceptability tergolong “Marginal High”, dan secara NPS bersikap passive.Kata kunci: Analisis, BRI Mobile, User Interface, System Usability Scale (SUS)Abstract: BRImo features various functionalities within its digital financial application. The purpose of BRImo is to facilitate users in conducting transactions without visiting BRI branches. One of the advantages of BRI mobile is that users can withdraw money without using an ATM card; instead, they can utilize the BRI mobile application on their respective smartphones. However, BRImo often experiences errors as indicated by reviews on Google Play store, where it has a rating of 4.5 out of 5. In addition to the rating, users also provide more negative reviews compared to positive ones. With these issues in mind, the objective of this research is to assess the User Interface quality of the BRImo application using the System Usability Scale method, involving 30 respondents from the general public who use BRImo. Based on the distributed questionnaires, the BRImo application obtained a SUS score above average, specifically 69.83, which implies that when interpreted from four perspectives, BRImo falls into the "OK" category, with acceptability being "Marginal High," and in terms of NPS, it exhibits a passive stance.Keywords: Analysis, BRI Mobile, User Interface, System Usability Scale (SUS) 
Understanding of Deaf Students Using Interactive Media of the BISINDO Sign Speaking Song (Merakit-Yura Yunita) in Online Learning Alika, Shintia Dwi; Arifa, Amalia Beladinna; Sripamuji, Asti Dwi; Saputra, Julian; Amalia, Risa Riski; Ramadhanti, Imada
Jurnal Paedagogy Vol. 10 No. 4: Jurnal Paedagogy (October 2023)
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jp.v10i4.8845

Abstract

This research aims to analyze the understanding of deaf students using the interactive media of the BISINDO sign-speaking song (Merakit-Yura Yunita) in online learning. The method used in this research was qualitative method. The subjects of this research were deaf students in SLB Yakut B Purwokerto. The research instrument used observation and questionnaires. Data analysis used interactive analysis, which includes data reduction, data presentation, and drawing conclusions. The results of the research showed that the use of the interactive media of the BISINDO sign language song (Merakit-Yura Yunita) could be applied to online learning for deaf students at the school. Deaf students could gain an understanding of the content contained in this song. In addition, this media is expected to be an innovation in the online learning of deaf students.
Human Fall Motion Prediction: Fall Motion Forecasting and Detection with GRU Yunus, Andi Prademon; Arifa, Amalia Beladinna; Choo, Yit Hong
JURNAL TEKNIK INFORMATIKA Vol. 17 No. 2: JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v17i2.41027

Abstract

The human fall motion prediction system is a preventive tool aimed at reducing the risk of falls. In our research, we developed a deep learning model that utilizes pose estimation to track human body posture and integrated this with a Gated Recurrent Unit (GRU) to forecast human motion and predict falls. GRU, an enhancement of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) models offers improved memorization and more efficient memory usage and performance. Our study presents the human fall motion prediction, which combines the forecasting and classification of potential falls.The CAUCAFall dataset is used as the benchmark of this study, which contains the image sequences of single human motion with ten actions conducted by ten actors. We employed the YOLOv8 Pose model to track the 2D human body pose as the input in our system. A thorough evaluation of the CAUCAFall dataset highlights the effectiveness of our proposed system. Evaluation using the CAUCAFall dataset demonstrates that the model achieved a Mean Per Joint Position Error (MPJPE) of 4.65 pixels from the ground truth, with a 70% accuracy rate in fall prediction. However, the model also exhibited a Mean Relative Error (MRE) of 0.3, indicating that 30% of the predictions were incorrect. These findings underscore the potential of the GRU-based system in fall prevention
Development of an Android-Based Tourism Application for Banyumas Regency using the Waterfall Model Hananta, Arnelka; Prasetyo, Novian Adi; Arifa, Amalia Beladinna
Nusantara Journal of Artificial Intelligence and Information Systems Vol. 1 No. 1 (2025): June
Publisher : Faculty of Engineering and Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47776/nuai.v1i1.1613

Abstract

Tourism is a key sector for regional economic growth and needs to be supported by the use of technology. This research aims to design and build an Android-based tourism application for Banyumas Regency using the Waterfall method. The application provides information on various tourist destinations, including nature, artificial attractions, culinary spots, and hotels. The development process followed the sequential stages of needs analysis, system design, implementation, testing, and maintenance. Unified Modeling Language (UML) diagrams were used for system modeling, while Android Studio and Firebase Firestore served as the main development tools. System functionality was validated through Blackbox Testing, while usability was assessed using the System Usability Scale (SUS) method. The application successfully passed functionality tests across multiple smartphone models and achieved an average SUS score of 84.83, indicating excellent usability. The research concludes that the tourism application effectively assists users in finding tourism information in Banyumas Regency. Future improvements are suggested by adding features such as distance-based recommendations and advanced search functions to enhance user experience.
Co-Authors Abdul Hafiidh Priyanto Agi Prasetiadi Alika, Shintia Dwi Amalia, Risa Riski Ananda Rifkiy Hasan Andi Prademon Yunus Annisa Nugraheni Aprianti Ika Larasati Asti Dwi Sripamuji Atika Ratna Dewi Aufaresa, Juvandio Aulia Burhanuddin Aulia Romadloni Nur Indarti Auliya Burhanuddin Choo, Yit Hong Dodi Zulherman Elisabeth Angeline W B Gladi Pawestri Utami Habibah Ratna Fadhila Islami Hana Hananta, Arnelka Hapsari Warih Utami Herdiesel Santoso Hidayah, Annisa Nur I Made Wirawan Imada Ramadhanti Ipam Fuaddina Adam Julian Saputra Julian Saputra Muhammad Genta Ari Shandi Muhammad Zidny Naf'an Nasrulloh, Iffan Ahmad Novian Adi Prasetyo Paradise, Paradise Pigi, Salman Pradana Ananda Raharja Ramadhani, Rima Dias Ramadhanti, Imada Ridho Ananda Rifki Adhitama, Rifki Rindu Hafil Muhammadi Risa Riski Amalia Rokhmawati, Naeli Fitria Sheren Afryan Tiastama Sidiq, Muhammad Fajar Slamet Wibawanto Sripamuji, Asti Dwi Testandy, Zaky Hanif Theo Felix Harianto Purba Tri Ginanjar Laksana Trihastuti Yuniati Utami, Annisaa Vania Noverina Vico Meylana Eka Putra Wahyu Adi Prabowo Wibowo, Fahrudin Mukti Yit Hong Choo Yogo Dwi Prasetyo Yohani Setiya Rafika Nur