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INDONESIA
Indonesian Journal of Business Intelligence (IJUBI)
Published by Universitas Alma Ata Yogyakarta
ISSN : 26213915     EISSN : 26213923     DOI : -
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
Fokus jurnal adalah karya inovatif pada analisis, desain, pengembangan, implementasi, evaluasi program, proyek, dan produk sistem informasi dalam manajemen strategis dan intelijen bisnis.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 206 Documents
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IMPLEMENTASI ALGORITMA RIVEST SHAMIR ADLEMAN (RSA) MULTIPRIMA DAN CHINESE REMAINDER THEOREM (CRT) PADA PENGAMANAN PESAN TEKS Pratama, Adhi Yoga; Wijayanto, Hendro
Indonesian Journal of Business Intelligence (IJUBI) Vol 8, No 1 (2025): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v8i1.5523

Abstract

RSA (Rivest-Shamir-Adleman) adalah algoritma kriptografi kunci public yang popular dalam implementasinya. Sulitnya memfaktorkan bilangan besar menjadi factor-faktor prima adalah dasar keamanan algoritma RSA. Tahap awal RSA adalah memilih bilangan prima acak p dan q, untuk selanjutnya dihitung modulus n. Besarnya nilai modulus n berbanding lurus dengan tingkat keamanan dan tingginya waktu performansi algoritma. Dalam aspek keamanan, untuk memperoleh nilai modulus n yang besar maka diimplementasikan RSA Multiprima dengan tiga bilangan prima acak (p, q, dan r) dalam pembangkitan kunci. Menangani efisiensi waktu proses dekripsi, memanfaatkan Chinese Remainder Theorem (CRT) untuk menghitung kunci privat dalam beberapa modul terpisah, sehingga dapat mempercepat  kalkulasi dalam proses dekripsi. Hasil dari kajian ini menunjukan bahwa implementasi CRT pada RSA Multiprima dapat mempercepat proses dekripsi, sehingga dapat menjadi solusi efisiensi sumber daya dalam implementasi algoritma kriptografi RSA Multiprima. Dalam kajian ini, implementasi menggunakan Bahasa pemrograman Python dengan versi 3.12.2. Kajian ini diharapkan dapat memberikan manfaat dalam pengembangan kriptografi modern yang lebih efisien.
PREDIKSI KEBERHASILAN TRANSFORMASI DIGITAL PADA UKM Mutiarachim, Atika
Indonesian Journal of Business Intelligence (IJUBI) Vol 8, No 1 (2025): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v8i1.5679

Abstract

Industri 4.0 menuntut pelaku industri skala besar sampai kecil untuk mampu beradaptasi dengan percepatan teknologi. Transformasi digital terbukti berdampak signifikan terhadap kinerja industri, termasuk mempertahankan eksistensi UKM. Keberhasilan UKM dalam memanfaatkan teknologi terbukti mampu meningkatkan keuntungan dan efisiensi operasional. Pelaku UKM harus memastikan transformasi digital berhasil diterapkan. Prediksi transformasi digital memudahkan pelaku UKM untuk mengetahui tingkat keberhasilan usahanya dalam menerapkan transformasi digital, sehingga UKM dapat mengembangkan strategi inovasi mengoptimalkan teknologi digital untuk menjaga eksistensi, memperoleh keuntungan optimal, meningkatkan daya saing serta efisiensi operasional. Prediksi dilakukan dengan membandingkan ID3, C4.5 dan CART untuk menemukan rule dengan performance terbaik, yang paling efektif untuk memprediksi keberhasilan suatu UKM dalam menerapkan transformasi digital. Hasil menunjukkan ID3 memperoleh performance terbaik dengan akurasi 89.19% dan AUC 0.959. Atribut ATP menjadi root node pada seluruh pohon keputusan yang dihasilkan. Ini berarti variabel Peran Digital Marketing, Model TOE, Strategi Bisnis Digital, Adopsi technopreneurship mempunyai peranan besar atau dampak yang signifikan terhadap UKM dalam melaksanakan transformasi digital pada bisnisnya.
PREDIKSI DAN EVALUASI POTENSI KEUNTUNGAN SAHAM PERBANKAN HIMBARA MENGGUNAKAN METODE LSTM Susetyo, Yosia Adi; Sari, Devina Intan; Wijono, Sutarto
Indonesian Journal of Business Intelligence (IJUBI) Vol 8, No 1 (2025): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v8i1.4415

Abstract

Penelitian ini mengkaji prediksi harga saham dan analisis potensi untung dan rugi dari investasi saham di sektor perbankan khususnya pada bank negara BBNI, BBTN, BBRI dan BMRI. Prediksi menggunakan teknik pembelajaran mesin, dengan metode Long Short-Term Memory (LSTM). Model yang dibangun dan dilatih menggunakan optimizer adam, batch size 32 dan jumlah epoch 200. Model dilatih dan dikembangkan menggunakan data harga penutupan saham selama tiga tahun terakhir. Hasil dari prediksi model ditujukan untuk periode 30 hari ke depan, sehingga mampu memberikan informasi yang berharga bagi pelaku pasar saham untuk melakukan aksi jual atau beli. Evaluasi LSTM dalam memodelkan data menunjukkan tingkat akurasi (R 2 ) antara 0.9522 hingga 0.9712, dengan Mean Square Error (MSE) berkisar antara 796.55 hingga 15508.82 , Mean Absolute Error (MAE) antara 20.48 hingga 73-74 dan Root Mean Squared Error (RMSE) antara 28.22-124.53 , hasil evaluasi menunjukkan LSTM yang dibangun terbukti akurat dalam memprediksi harga saham.
Zonasi Daerah Rawan Longsor Menggunakan Analisis Sistem Informasi Geografis Berdasarkan Metode AHP Pada Daerah Gunung Kidul Yogyakarta Haris Bahrudin, Muhammad Joko Umbaran
Indonesian Journal of Business Intelligence (IJUBI) Vol 1 No 1 (2018): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v1i1.851

Abstract

Abstract Data from the Yogyakarta Regional National Survey and Mapping Coordinating Board (Bakosurtanal), disasters that often occur in Yogyakarta are landslides, droughts, tornadoes.In this study, the modeling of potential landslides in the Gunung Kidul area of Yogyakarta has been carried out using GIS analysis and scoring and weighting methods with reference to PU Candy No. 22 /PRT /M /2007 concerning the Guidelines for Landslide Disaster Prone Areas and the Analytical Hierarchy Process (AHP) method. The results were in the form of Three Zoning landslide prone areas, namely high potential found in three Hamlets namely Kacangan Hamlet Hargomulyo Village located at N 42º E, Kedok Ploso N 186º E Hamlet, and Kembang Village Nglegi Hamlet N 160º E based on vulnerability maps landslides processed based on Permen PU No. 22 / PRT / M / 2007. While the Medium Zone is located in Karangduwet Hamlet, Ngalang Village N 95º E. The low vulnerability zone is located in Duwet Hamlet, Ngalang Village N 4º E. Criteria in the study area include lithology: 0,250, slope: 0,053, groundwater condition 0,304, soil structure: 0,161 , land cover: 0.102 and relative reief: 0.131 all criteria determination is based on landscape hazard evaluation factor (LHEF) which is processed based on AHP method and map overlay technique.
FUZZY INTELLIGENCE SYSTEM FOR EMPLOYEE ASSESSMENT: A CASE STUDI OF XYZ UNIVERSITY IN YOGYAKARTA Heksaputra, Dadang
Indonesian Journal of Business Intelligence (IJUBI) Vol 1 No 1 (2018): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v1i1.852

Abstract

Tingkat perkembangan model pendukung keputusan dari bidang medis, bidang bisnis, bidang ketahanan pangan ataupun bidang lain menunjukan adanya perkembangan model. Pada pengelolaan sumber daya manusia pada suatu unitersitas sudah lama dilakukan tetapi melihat kondisi sumber daya manusia pada suatu universitas. Kondisi tersebut menggunakan model keputusan berbobot tetapi menggunakan konsep diskret. Model keputusan diambil secara diskret akan sangat merugikan karyawan pada institusi tersebut. Penggunaan ambang batas penilaian dengan konsep perankingan mengklasifikasikan kedalam 4 kategori rangking. Penelitian ini bertujuan untuk meminimalis konsep diskret sehingga karyawan dapat  bijak menerima keputusan bagian biro sumber daya manusia universitas. Pada sistem dibangun ini input berupa kriteria penilaian telah ditetapkan oleh pihak Biro Sumber Daya Manusia Universitas. Input tersebut diantaranya jam kerja, kedisiplinan, kualitas laporan (propeka), loyaliyas, dan pelayanan. Bobot dihitung menggunakan konsep fuzzy model tsukamoto. Model dapat merepresentasikan dengan baik. Karena Hasil pengujian dapat divalidasi sesuai dengan hasil perhitungan dari Biro Bagian Sumber Daya Manusia Universitas.
SEGMENTASI PELANGGAN BISNIS DENGAN MULTI KRITERIA MENGGUNAKAN K-MEANS Wicaksono, Yanuar
Indonesian Journal of Business Intelligence (IJUBI) Vol 1 No 2 (2018): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v1i2.872

Abstract

Customer knowledge is an important asset, in gathering, and managing from sharing customer knowledge into valuable capital for the company. This causes the company to continue to innovate in producing products and serving according to customer needs. To find out the needs of each customer, the company needs to make customer segmentation. Customer segmentation is defined as the division into different groups with similar characteristics to develop marketing strategies that are tailored to customer characteristics. The easiest, simplest, well-known and commonly used model of customer characteristics is the model of the recency, frequency, monetary (RFM) criteria. The RFM model still has weaknesses in low customer segmentation capacity and does not provide information on the continuity of customer transactions in understanding customer loyalty. The research method used is the Knowledge Discovery in Database (KDD) method. The data is transformed into another format that suits the needs of analysis and then the customer is segmented using clustering data mining techniques with the K-Means algorithm. From the experiments, the RFM model guesses loyal customers when reviews, frequency and monetary are high. In reality, the recency only provides information on the customer making the last transaction and the high number of transaction frequencies can be done without the customer's stability in making transactions each period. Implementing multi-criteria in customer segmentation can be better than just RFM criteria. So it will not be wrong to treat customers according to the groups that have been formed.
PERANCANGAN WEB E-SHOP PADA TOKO SANDY DENGAN MENGGUNAKAN PHP DAN MySQL Harahap, Avrillaila Akbar
Indonesian Journal of Business Intelligence (IJUBI) Vol 1 No 1 (2018): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v1i1.875

Abstract

abstract: Sandy Shop is a store that is engaged in the sale of men's clothing. The business was established one year after the first child of the couple Mr. Ikhfan and Ms. Erniwati, precisely in 1999, and the name of the shop itself was taken from the name of their first child, Sandy Ervan Kurniawan. The sales system that occurs at Sandy Shop is that consumers come to the store to find and select items to buy. In doing marketing, only through conversation from person to person. Another problem is the sales process that is only centered in the city of Sawahlunto, making customers outside the city find it difficult to buy the product and to manage sales data Sandy Shop uses the conventional method of using a sales notebook. Based on interviews with Sandy Shop owners, the majority of clothing stores in the city of Sawahlunto have not used internet media as an alternative means of promotion. With the existence of the Web E-Shop at Sandy Shop, it is expected to provide convenience to the public to make purchases/orders for products without having to come to the store, and expand marketing and increase consumer confidence. The method used in the development of e-shop web systems is the SDLC (System Development Life Cycle) method and the software used to design and design the PHP programming language, MySQL database, Notepad ++, and XAMPP text editors. Abstrak: Toko Sandy merupakan sebuah toko yang bergerak di bidang penjualan pakaian khusus pria. Usaha ini didirikan satu tahun setelah anak pertama dari pasangan Bapak Ikhfan dan Ibu Erniwati yaitu tepatnya pada tahun 1999, dan nama toko itu sendiri diambil dari nama anak pertama mereka yaitu Sandy Ervan Kurniawan. Sistem penjualan yang terjadi di Toko Sandy adalah konsumen datang ke toko untuk mencari dan memilih barang yang akan dibeli. Di dalam melakukan pemasaran, hanya melalui perbincangan dari orang ke orang. Masalah lainnya adalah proses penjualan yang hanya berpusat di Kota Sawahlunto membuat pelanggan yang berada di luar kota merasakan kesulitan apabila ingin membeli produk tersebut, dan untuk mengelola data penjualan Toko Sandy menggunakan cara konvensional yaitu menggunakan buku catatan penjualan. Berdasarkan wawancara dengan pemilik Toko Sandy, mayoritas toko pakaian yang ada di kota Sawahlunto belum menggunakan media internet sebagai sarana promosi alternatif. Dengan adanya Web E-Shop pada Toko Sandy diharapkan dapat memberikan kemudahan kepada masyarakat untuk melakukan pembelian/pemesanan produk tanpa harus datang ke toko, serta memperluas pemasaran dan meningkatkan kepercayaan konsumen. Metode yang digunakan dalam pengembangan sistem web e-shop adalah metode SDLC (System Development Life Cycle) dan software yang digunakan untuk merancang dan mendesain yaitu bahasa pemrograman PHP, database MySQL, text editor Notepad++, dan XAMPP.
ANALISIS DAN PENILAIAN TEKNOLOGI INFORMASI PADA PROSES TATA KELOLA DENGAN COBIT 5 PADA DOMAIN EDM STUDI KASUS UNIVERSITAS PERADABAN Haryono, Rito Cipta Sagitta
Indonesian Journal of Business Intelligence (IJUBI) Vol 1 No 1 (2018): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v1i1.876

Abstract

Information technology governance (IT Governance) in companies has an important role in maximizing information technology that has been implemented at the University. However, IT governance can have several problems due to IT being only a concern of the technical team because it does not get the attention of top management. Without good IT governance various problems will arise. The EDM domain (Evaluate, Direct, Monitor) is one of the COBIT 5 tools, which is to measure the level of capability of the governance process. This study aims to analyze and assess the IT governance process using COBIT 5 tools on the EDM domain (evaluate, direct, monitor) with the Self Assessment method with a case study of the Peradaban University. The results of the assessment using the capability level COBIT 5 approach indicate that PUKSI of Peradaban University has a capability level at Level 1 for the EDM01 process because process performance is not planned and not monitored, nor are the resources and information needed to carry out processes not identified, provided, allocated, and used. So that IT governance is not maximally used.
LIVE FORENSIK UNTUK ANALISA ANTI FORENSIK PADA WEB BROWSER STUDI KASUS BROWZAR Rochmadi, Tri
Indonesian Journal of Business Intelligence (IJUBI) Vol 1 No 1 (2018): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v1i1.878

Abstract

Cybercrime continues to increase and innovate along with the rapid development of internet and more easily accessible everywhere. Most business organizations have used the internet for its operations so that the use of browsers is a necessity to support work. So that the browser also adjusts to improve security on the user's side so that information accessed by users cannot be known by other users. Browzar is a browser that answers these challenges, where Browzar can run without having to be installed on the computer and automatically deletes information generated by the use of the browser itself. However, these advantages become a challenge for investigators because these advantages can be exploited by cybercriminals to eliminate, minimize existing digital evidence. This study intends to analyze and find digital evidence in criminal cases using Browzar with Live Forensic. Digital evidence is obtained using dumpit for data acquisition and forensic volatility memory and winhex to analyze data and information on RAM. Results of the study were able to obtain information that could be used for digital evidence on Browzar web browser, namely URL history, account used log in, namely username and password, timestamp, that is, the user access time to a web page.
DESIGN OF IDENTIFICATION OF SINGLE DEPRESSION DISORDERS USING NATURAL LANGUAGE PROCESSING MODEL IN PATIENT COMPLAINTS Nugroho, Soma Setiawan Ponco; Dwi, Muhammad Najamuddin
Indonesian Journal of Business Intelligence (IJUBI) Vol 1 No 2 (2018): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v1i2.882

Abstract

Unconsciously mental disorders often begin with mild symptoms such as anxiety and depression. In cases of depression with long periods of time can result in disruption of a person's mindset and suicidal arising. Based on WHO data in 2010 suicide rates due to depression in Indonesia reached 1.6 to 1.8 per 100,000 people. Unfortunately the symptoms of depressive disorders are often difficult to recognize because a series of patient complaints are in the form of medical narratives or unstructured texts written by doctors. So to get a diagnosis is done by extracting symptoms from complaints data in the form of medical narrative texts. In this study, a design for identifying a single depressive disorder will be built using rule-based reasoning and the Natural Language Processing approach to extract symptoms in a medical narrative or patient complaint text.

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