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Bulletin of Information Technology (BIT)
Published by Forum Kerjasama Pendidikan TInggi
ISSN : -     EISSN : 27220524     DOI : 10.47065/bit.v2i3.106
Core Subject : Science,
Computer Science & IT
Jurnal Bulletin of Information Technology (BIT) memuat tentang artikel hasil penelitian dan kajian konseptual bidang teknik informatika, ilmu komputer dan sistem informasi. Topik utama yang diterbitkan mencakup:berisi kajian ilmiah informatika tentang : Sistem Pendukung Keputusan Sistem Pakar Sistem Informasi, Kriptografi Pemodelan dan Simulasi Jaringan Komputer Komputasi Pengolahan Citra Dan lain-lain (topik lainnya yang berhubungan dengan teknologi informasi)
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol 6 No 1: Maret 2025" : 5 Documents clear
Analisis Sentimen Terhadap Dampak Inflasi Menggunakan Naive Bayes Nurhaliza Sofyan, Siti; Iqbal, Muhammad
Bulletin of Information Technology (BIT) Vol 6 No 1: Maret 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v6i1.1796

Abstract

This research aims to analyze public sentiment regarding the impact of inflation in 2024 on survival. Inflation is seen as one of the most important factors influencing a country's economic growth. In this research, the results of public sentiment in 300 tweets on the Twitter application were obtained, namely the emotion 'joy' was 194 or 64%, 'surprise' was 71 or 23%, 'fear' was 20 or 6%, 'sadness' was 9 or 3% , 'disgusted' by 7 or 2% and 'angry' by 0.06% . This research uses the orange mining application with multilingual sentiment analysis techniques visualized through box plots and scatter plots, which aims to classify Twitter users based on their emotional responses. The decline in the level of economic growth has led to the emergence of the view that inflation has a negative effect on economic growth, not a positive effect. The findings of this research provide insight into the government's role in overcoming current inflation and providing sustainable benefits and are expected to be used as material for evaluating the government's role.
Analisis Pembelian Handphone Baru Dan Murah Terbaik Dengan Menggunakan Metode Simple Additive Weighting (SAW) Sinulingga, Novemtri; Rizky, Firahmi
Bulletin of Information Technology (BIT) Vol 6 No 1: Maret 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v6i1.1827

Abstract

Pada penelitian inj pembelian handphone yang dilakukan para pembeli kadang membuat binggung para pembeli, karena handphone yang akan dibeli sesuai dengan keteria yang mereka inginkan atau tidak sesuai. Dimana banyak pembeli handphone salah membeli handphone karena melihat handphone viral di sosmed tetapi bukan mengikuti kriteria yang mereka inginkan. Berdasarkan hal tersebut maka penelitian ini melakukan analaisis pendukung Keputusan yang digunakan untuk membantu para pembeli melakukan proses pemilihan handphone yang sesuai dengan kriteria yaitu harga, RAM, dan camera. Dimana kriteria yang digunakan sering menjadi pilihan utama dalam kriteria pemilihan pembelian handphone. Metode Pengambil Keputusan yang digunakan ialah metode Simple Additive Weighting (SAW). Dimana metode ini digunakan untuk menentukan nilai bobot dari setiap kriteria, lalu dilakukan proses prangkingan untuk menentukan alternatif hanphone dari sejumlah alternatif hanphone yang ada. Dengan adanya analisis system pendukung Keputusan yang menggunakan metode SAW (Simple Additive Weighting), supaya bisa membantu pembeli dalam memilih handphone berdasarkan dengan kriteria-kriteria yang telah ditetapkan. Kata Kunci: SAW1; Handphone2; Harga3; RAM4; Camera5
Pengembangan Aplikasi Guest Book Pada Cagar Budaya Sumbawa Berbasis Progressive Web App ( PWA ) Fatihurroyyan; Esabella, Shinta
Bulletin of Information Technology (BIT) Vol 6 No 1: Maret 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v6i1.1868

Abstract

In the research of cellphone purchases made by buyers sometimes confuse the buyers, because the cellphone to be purchased is in accordance with what they want or not. Where many cellphone buyers buy the wrong cellphone because they see viral cellphones on social media but not following the criteria they want. Based on this, this research conducts a decision support analysis that is used to help buyers carry out the process of selecting a cellphone that matches the criteria, namely price, RAM, and camera. Where the criteria used are often the main choice in the criteria for selecting a cellphone purchase. The decision-making method used is the Simple Additive Weighting (SAW) method. Where this method is used to determine the weight value of each criterion, then a ranking process is carried out to determine the alternative cellphone from a number of existing cellphone alternatives. With the analysis of a decision support system that uses the SAW (Simple Additive Weighting) method, so that it can help buyers in choosing a cellphone based on predetermined criteria.
Analysis of Inpatient Data Using Cluster Analysis on Simulation Dataset Putera Utama Siahaan , Andysah; Azizah Harahap, Nur; Yuni Simanullang, Rahma; Khairunnisa; Wanny, Puspita; Utari
Bulletin of Information Technology (BIT) Vol 6 No 1: Maret 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v6i1.1830

Abstract

This study aims to analyze inpatient data using the K-Means Clustering method on a simulated dataset. The dataset includes various patient-related attributes such as age, billing amount, length of stay, medical condition, and type of admission. Several preprocessing steps were applied, including date conversion, duration calculation, numerical normalization, and one-hot encoding for categorical attributes. The Elbow Method was used to determine the optimal number of clusters, and clustering quality was evaluated using both the Silhouette Score and Davies-Bouldin Index. The analysis results show that the patients can be segmented into three major clusters, each exhibiting distinct characteristics—for example, younger patients with short and low-cost stays, and elderly patients with prolonged and more expensive hospitalizations. The resulting Silhouette Score of 0.14 and Davies-Bouldin Index of 1.74 reflect a moderate clustering performance, yet the model remains informative and meaningful. These clusters provide actionable insights that hospitals can use to optimize their service strategies, improve resource allocation, and enhance operational efficiency. Moreover, the study illustrates the practical application of unsupervised learning techniques in healthcare settings, contributing to data-driven decision-making practices and offering a foundation for further research into patient segmentation.
Perbandingan Metode MAUT dan TOPSIS dalam Menentukan Ponsel Terbaik Trianovie, Sri; Pane, Rahmadani; Putra Juledi, Angga
Bulletin of Information Technology (BIT) Vol 6 No 1: Maret 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v6i1.1876

Abstract

Usaha kerupuk ikan merupakan salah satu industri kecil dari UMKM (Usaha Mikro Kecil dan Menengah) tentang kerupuk yang didirikan oleh Febi. Industri ini masih berskala rumah tangga dan kecil. Usaha kerupuk ikan Febi masih tergolong baru dan masih dalam proses pengembangan. Permasalahan yang ada meliputi muncul usaha kerupuk yang sudah mapan dan berkembang pesat. Selain itu terdapat juga usaha kerupuk yang sejenis namun dengan harga yang lebih murah. Permasalahan tersebut menimbulkan persaingan diantara sesama usaha kerupuk. Setiap usaha kerupuk akan terus berinovasi dan mengeluarkan keunggulan dari masing-masing produknya. Hal ini membuat suatu usaha memerlukan strategi untuk bisa berdaya saing dan melakukan proses pengembangan usaha. Pada penelitian ini bertujuan menentukan strategi dalam peningkatan daya saing dan pengembangan usaha kerupuk ikan Febi. Hasil penelitian dapat diketahui bahwa terdapat tiga strategi terbaik yang dapat digunakan oleh Usaha kerupuk ikan Febi yaitu efisiensi biaya, membangun kerja sama (mitra) dengan pemerintah, dan pelaksaanaan promosi (offline dan online) mengenai produk.

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