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All Journal Jurnal Ilmiah KOMPUTASI Jurnal Informatika Universitas Pamulang JISICOM (Journal of Information System, Infomatics and Computing) Sang Pencerah: Jurnal Ilmiah Universitas Muhammadiyah Buton Infotekmesin Abdi Jurnal Publikasi
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SISTEM KLARIFIKASI HOAKS ATAU FAKTA SECARA ONLINE (TANYAFAKTA) Siti Hasuna; Sudjiran
Jurnal Ilmiah KOMPUTASI Vol 18, No 4 (2019): Desember
Publisher : STMIK JAKARTA STI&K

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Abstract

Era digital saat ini menjadikan berita sangat mudah didapatkan. Hanya dalam hitungan detik suatu informasi dapat tersebar luas melalui berbagai media. Namun kemudahan tersebut membuat informasi yang diterima sulit divalidasi kebenarannya. Hal itu menimbulkan kekhawatiran jika informasi tersebut merupakan fakta atau hoaks, karena dapat membuat kebingungan di masyarakat dan bisa menyesatkan. Penelitian ini bertujuan untuk mengurangi keresahan masyarakat dengan mewadahi dalam mengklarifikasi suatu berita. Untuk membangun sistem informasi menggunakan metode pengembangan waterfall dan perancangan berorientasi objek yaitu UML (Unified Modeling Language) dengan bahasa program PHP menggunakan framework Codeigniter dan MySQL sebagai basis data serta HTML untuk web scripting. Hasil dari penelitian ini yaitu program aplikasi berbasis web yang akan mengumpulkan masyarakat dengan tujuan ingin mengklarifikasi berita sehingga mengurangi penyebaran hoaks, serta web ini juga dapat digunakan bagi mereka yang ingin berkontribusi untuk meluruskan suatu berita
Sistem Retensi dan Alih Image Rekam Medis Inaktif RS Khusus Kanker MRCCC Siloam Semanggi Sudjiran, Sudjiran; Limbong, Akbar Syahbanta
Jurnal Informatika Universitas Pamulang Vol 6, No 1 (2021): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v6i1.9638

Abstract

Along with the development of technology, the speed of data processing is needed in order to compete with competitors. A company must have an advantage over other companies if it does not want to lose in the competition. MRCCC Siloam Semanggi is a company that provides health services for cancer patients. One of the transaction processes within the hospital is sensing data in the form of images of patient data. Image data processing activities at this hospital are not yet structured and require a database in order to assist in fast data processing. This study aims to create an image transfer system to transfer physical documents into digital documents. This system is useful for hospital employees to be able to find documents easily for certain purposes, the system is made web-based using XAMPP, using PHP language with MySQL database. The results of the analysis of research that has been done, there are problems that arise related to the retention system in hospital patient data. Retention data collection activities are usually carried out by sorting out patient medical record documents from those not recorded on a computer.
Mengatasi Ketimpangan Data Deep Neural Network dengan Pelipatan Fitur Data Klasifikasi Spektroskopi Darah Widi Hastomo; Adhitio Satyo Bayangkari Karno; Sutarno Sutarno; Dodi Arif; Eka Sally Moreta; Sudjiran Sudjiran
Sang Pencerah: Jurnal Ilmiah Universitas Muhammadiyah Buton Vol 8 No 2 (2022): Sang Pencerah: Jurnal Ilmiah Universitas Muhammadiyah Buton
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Muhammadiyah Buton

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1673.005 KB) | DOI: 10.35326/pencerah.v8i2.2251

Abstract

Permasalahan utama dalam penelitian ini adalah ketimpangan data masukan menghasilkan dampak negatif yang signifikan terhadap hasil prediksi dari model Deep Neural Network (DNN). Kemampuan klasifikasi DNN sangat akurat hanya untuk dataset yang berimbang, namun DNN pada awalnya tidak di rancang untuk menangani ketimpangan data. Ketimpangan data merupakan hal yang sering dijumpai dalam dunia nyata, menjadikan ini sebagai tantangan besar dalam prediksi klasifikasi menggunakan model DNN. Penelitian ini berfokus untuk memprediksi tingkat kandungan kolesterol tinggi, kolesterol rendah dan hemoglobin, menggunakan data kasus di kompetisi Zindi Blood Spectroscopy Classification Challenge. Dengan melakukan analisa data, cleansing outlier, fine tunning, model neural network, jaringan pengelompokan data target dengan kategori sejenis, urutan pemrosesan, pemilihan nilai pelipatan (7 pelipatan) yang tepat terhadap data input train dan data test serta epoch 60, dapat meningkatkan hasil nilai score prediksi yang cukup tinggi sebesar 0.94594.
Exloratory Data Analysis Untuk Data Belanja Pelanggan dan Pendapatan Bisnis Widi Hastomo; Adhitio Satyo Bayangkari Karno; Sudjiran; Dodi Arif; Eka Sally Moreta
Infotekmesin Vol 13 No 2 (2022): Infotekmesin: Juli, 2022
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v13i2.1547

Abstract

A more quantifiable perspective is assuming the role of mechanistic management in an effort to enhance business based on its capacity to transform data into knowledge and insight. The industry has not completely supported its business strategy also with driven data. Using a transaction dataset taken from one of the Kaggle.com challenges, this experiment attempts to determine consumer spending patterns and Retail Fashion business revenues (H&M Personalized Fashion Recommendations). The results of the experiment are the number of transactions based on customer age, the most sales product and one-time purchased item, and the type of product that generates the highest and smallest income. The approach employed is EDA using the Python language. In order for businesses to generate analytical findings that provide future perspectives and to help identify the gap by delivering analytical results in the form of suggestions that can be perpetuated, the findings of this experiment are intended to support the capabilities of simulation. The challenge in this experiment is the abundance of datasets, which necessitates a suitable operating environment.
Analisis Risiko Investasi dan Prediksi Saham Menggunakan Algortime Machine Learning Widi Hastomo; Sutarno; Sudjiran
Jurnal Ilmiah Komputasi Vol. 21 No. 3 (2022): Jurnal Ilmiah Komputasi : Vol. 21 No 3, September 2022
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32409/jikstik.21.3.3104

Abstract

Penelitian ini bertujuan untuk analisa risiko dan korelasi antar saham dengan menghitung return harian menggunakan metode moving average (MA). Selain itu dengan dataset dari 2 saham (Apple dan Microsoft) juga dilakukan prediksi nilai saham di periode waktu berikutnya (future), dengan menggunakan metode neural network (deep learning) Long Short Term Memory (LSTM). Hasil dari komputasi dalam bahasa python berupa beberapa visualisasi grafik yang memudahkan pembacaan informasi. Visualisasi grafik MA jangka pendek dan panjang ke dua saham cenderung mengalami penurunan harga semenjak bulan Januari hingga Juni 2022 namun volume penjualan saham tidak terjadi penurunan secara signifikan untuk saham Apple. Berbeda dengan Apple, Microsoft terjadi 2 kali volume penjualan tinggi di bulan Februari (9.107 lembar saham) dan bulan Mei (7.107 lembar saham). Tingkat kemiripan (korelasi) kedua saham tersebut sebesar 72%. Dari analisa risiko dan expected return, saham Apple memiliki risiko (0.019994) dan expected return (0.001402) lebih rendah dari saham Microsoft dengan risiko (0.017169) dan expected return (0.000904). Prediksi waktu kedepan (future) dengan model LSTM, menunjukan Apple dan Microsoft masih akan mangalami penurunan harga saham.
DIGITAL SYSTEM UI/UX DESIGN MANAGEMENT SUBMISSION OF AGRICULTURAL COST LOANS USING FIGMA SOFTWARE Sudjiran Sudjiran; Mohamad Saefudin; Safrido Ahmad Perdana
JISICOM (Journal of Information System, Informatics and Computing) Vol 7 No 1 (2023): JISICOM (June 2023)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisicom.v7i1.1090

Abstract

In the increasingly rapid development of technology, currently all the needs of our lives in various fields are slowly starting to penetrate the online (online)-based digital sector. One of them is related to capital lending and funding which is currently experiencing online-based development or known as Fintech (Finance Technology) and this technology is being widely used by the public, especially in Indonesia. Where, if we want to borrow capital or business funds, we can do it right away, simply by using an application/website platform that has been systemically designed, without having to come to a bank or cooperative. With the development of this technology, it is hoped that it will make it easier for the public to apply for loans of capital and funds in an efficient, effective and integrated manner between systems and humans.
SOSIALISASI PERAN PERPUSTAKAAN DIGITAL DALAM PEMBELAJARAN JARAK JAUH PADA SISWA Elly Agustina Julisawati; Hurnaningsih Hurnaningsih; Fivtatianti Hendajani; Agustina Nicke; Wigiyanti Wigiyanti; Kokoy Rokoyah; Sudjiran Sudjiran
Abdi Jurnal Publikasi Vol. 1 No. 6 (2023): Juni
Publisher : Abdi Jurnal Publikasi

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Abstract

Digital libraries have an important role in supporting distance learning. In this digital era, easy and fast access to electronic learning resources allows students to study material anytime and anywhere. The digital library also supports student research by providing access to scholarly journals and online databases. In addition, through collaboration and interaction features, students can interact with teachers and fellow students, expanding their social network in distance learning. The digital library also helps with monitoring and evaluating student performance, as well as developing important digital literacy skills. With roles and benefits that continue to grow, digital libraries are expected to become an important component in an increasingly connected future education.  
Co-Authors Adhitio Satyo Bayangkari Karno Agustina Nicke Dodi Arif Eka Sally Moreta Elly Agustina Julisawati Hurnaningsih Hurnaningsih Kokoy Rokoyah Kokoy Rokoyah Limbong, Akbar Syahbanta MM SKom Fivtatianti Hendajani Mohamad Saefudin Safrido Ahmad Perdana Siti Hasuna Sutarno Sutarno Sutarno Widi Hastomo Widi Hastomo Wigiyanti Wigiyanti