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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
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 Mathematics Mechanical Engineering Public Health Social Sciences Other

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RANCANG BANGUN APLIKASI PENGENALAN WISATA KAB KEBUMEN MENGGUNAKAN METODE PROTOTYPE BERBASIS ANDROID: DESIGN AND BUILD TOURISM INTRODUCTION APPLICATION OF KEBUMEN REGENCY USING ANDROID-BASED PROTOTYPE METHOD Testandy, Zaky Hanif; Prasetyo, Novian Adi; Arifa, Amalia Beladinna
Jurnal Sistem Informasi dan Bisnis Cerdas Vol. 15 No. 2 (2022): Agustus 2022
Publisher : Program Studi Sistem Informasi, Fakultas Ilmu Komputer, UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (545.307 KB) | DOI: 10.33005/sibc.v15i2.22

Abstract

Pariwisata merupakan salah satu sektor yang berpotensial untuk dikembangkan, karena pariwisata bisa menjadi sumber pendapatan daerah. Majunya industri Pariwisata dari suatu daerah sangat bergantung kepada jumlah wisatawan yang datang. Dari data Kementrian Pariwisata, per Januari 2019 terhitung 1.158.162 tamu mancanegara berkunjung ke Indonesia, dimana hal ini mengalami kenaikan sekitar 58 ribu lebih dibandingkan pada Januari 2018 yang tercatat 1.100.677 orang. Pada daerah Kabupaten Kebumen sendiri memiliki banyak wisata yang dibagi menjadi wisata yang dikelola pemerintah dan wisata yang dikelola swasta. Akan tetapi, banyaknya wisata tidak menjadi jaminan wisata tersebut memiliki pemerataan yang baik. Data yang diambil dari Badan Pusat Statistik Kabupaten Kebumen memberikan data – data pengunjung wisata yang ada pada Kabupaten Kebumen baik itu dikelola pemerintah ataupun swasta dalam bentuk angka. Dalam data tersebut, dituliskan pada wisata yang dikelola oleh pemerintah Wisata Goa Jatijajar memiliki pengunjung tertinggi, sedangkan Pantai Logending memiliki pengunjung Terendah. Pada wisata yang dikelola oleh swasta, Pantai Menganti merupakan objek wisata yang sering dikunjungi. Oleh karena itu, dengan tidak meratanya jumlah pengunjung antara objek wisata maka perlu dibangun media informasi objek wisata tersebut berbasis Android. Android digunakan karena sangat memudahkan, apalagi saat ini banyak wisatawan menggunakan smartphone sebagai alat navigasinya. Penelitian ini berujuan untuk membuat sebuah aplikasi yang berfungsi untuk pengenalan wisata di daerah Kabupaten Kebumen. Hasil yang didapat dari penelitian ini berupa aplikasi yang bernama Wisata Kebumen.
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.
Co-Authors Abdul Hafiidh Priyanto Agi Prasetiadi Alika, Shintia Dwi Ananda Rifkiy Hasan Andi Prademon Yunus Annisa Nugraheni Aprianti Ika Larasati Asti Dwi Sripamuji Atika Ratna Dewi Aufaresa, Juvandio Aulia Burhanuddin Auliya Burhanuddin Dodi Zulherman Elisabeth Angeline W B Gladi Pawestri Utami Habibah Ratna Fadhila Islami Hana Hapsari Warih Utami Herdiesel Santoso I Made Wirawan Imada Ramadhanti Ipam Fuaddina Adam Julian Saputra Muhammad Genta Ari Shandi Muhammad Zidny Naf'an Naeli Fitria Rokhmawati Nasrulloh, Iffan Ahmad Novian Adi Prasetyo Paradise, Paradise Pigi, Salman Pradana Ananda Raharja Ramadhani, Rima Dias Ridho Ananda Rifki Adhitama, Rifki Rindu Hafil Muhammadi Risa Riski Amalia Sheren Afryan Tiastama Sidiq, Muhammad Fajar Slamet Wibawanto Testandy, Zaky Hanif Theo Felix Harianto Purba Tri Ginanjar Laksana Trihastuti Yuniati Vania Noverina Vico Meylana Eka Putra Wahyu Adi Prabowo Wibowo, Fahrudin Mukti Yit Hong Choo Yogo Dwi Prasetyo Yohani Setiya Rafika Nur