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ANALISA ASOSIASI DATA MINING PENJUALAN MEUBEL MENGGUNAKAN ALGORITMA APRIORI PADA MASTER BORNEO PONTIANAK SELATAN Rabiatus; Badariatul Lailiah; Windu Gata; Muhammad Ifan Rifani Ihsan
Elkom : Jurnal Elektronika dan Komputer Vol 13 No 2 (2020): Desember: Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar

Dunia bisnis khususnya dalam industri penjualan dimana-mana tidak di ambil kemungkinan banyak resiko yang di hadapi pembisnis untuk bisa melangsungkan usaha yang telah di dirikan akan selalu ada dan mendapatkan konsumen yang tetap membeli barang yang telah disediakan maka dari itu seorang entrepreneur dituntut untuk memiliki strategi dalam membaca peluang. Untuk menyiasati hal tersebut, tentunya pihak manajemen harus mampu menganalisa data yang ada untuk dijadikan bahan acuan untuk strategi diperlukan untuk komputerisasi. Pencarian judul penelitian dan abstraknya dipermudah dengan kata-kata kunci tersebut. berbisnis selanjutnya. Meubel Master borneo merupakan salah satu perusahaan yang memiliki resiko mendapatkan konsumen yang tetap dan harus memberikan atau meyediakan barang yang memiiki kualitas tinggi dan memberikan pelayanan yang akan diberikan kepada pelanggan yang setia membeli produk yang telah disediakan. Dengan menggunakan data mining yang merupakan knowledge discovery dikarenakan bidang yang berupaya untuk menemukan informasi yang memiliki arti yang berguna dari jumlah data yang besar, untuk menemukan pola (pattern) data dan memprediksi kelakuan (trend) dimasa mendatang [7]. Untuk mengetahui produk yang sering terjual dalam periode bulan Januari sampai bulan Mei 2019 diperlukan algoritma apriori yang ada di data mining. Dengan melakukan analisa keranjang belanja menggunakan metode asosiasi dengan Algoritma Apriori, dimana kombinasi itemset transaksi penjualan barang pada meubel master borneo menghasilkan 6 rules dimana minimum confidence sebesar 41,6 % dan minimum support sebesar 0,08% berdasarkan 35 transaksi penjualan dari 63 jenis barang pada meubel Master Borneo.

COMPARISON OF APPLE IMAGE SEGMENTATION USING BINARY CONVERSION AND K-MEANS CLUSTERING METHODS Nurdiani, Siti; Rezki, Muhammad; Dahlia, Rizka; Ihsan, Muhammad Ifan Rifani; Frieyadie, Frieyadie; Fauziah, Siti
Jurnal Pilar Nusa Mandiri Vol 17 No 1 (2021): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v17i1.2256

Apples are quite popular consumption among the community and have different kinds of shapes and colors. Apples themselves have many nutrients and various vitamins including fat, as well as energy, carbohydrates, protein, vitamin C, vitamin A, vitamin B2, vitamin B1, and many more. Because of the variety of types of apples, it is difficult for people to distinguish between these types of apples. However, with the development of technology and sophistication, it is now possible to classify the types of apples using digital images. This study aims to segment the image of apples by comparing 2 methods at once to find out which method is the best. This process is an initial stage that must be done before classifying. From the comparison results of apple image segmentation with binary conversion methods and k-means clustering, it can be concluded that the best method is k-means clustering. Because it can segment the image of apples almost perfectly.

Rancang Bangun Sistem Informasi Pembelian Dan Penjualan Pakaian Pada Toko Al-Gaza Busana Pontianak Berbasis Web Diaz Arizona, Nanda; Iqbal, Muhammad; Rifani Ihsan, Muhammad Ifan; Sony Maulana, Muhammad; Nurdiani, Siti
Jurnal Sistem Informasi Akuntansi Vol 5 No 1 (2024)
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/justian.v5i1.3823

Al-Gaza Busana Store Pontianak is a trading store that sells various clothes ranging from children to adults. The case reviewed in this Final Project is the recording of clothing purchases and sales. Each recording of clothing sales transactions at Al-Gaza Busana Store is still done in a simple way that is recorded in the journal and recording every day and then recorded every once a month. As for the recording of clothing purchases there is no book keeping, just a note of every purchase transaction kept by the shop owner. By looking at the above problem, it is necessary to purchase and sale application at Al-Gaza Busana Store Pontianak that manages data of clothing, clothing data, agent data, admin data, entrant data, purchase transaction, retail sale transaction, wholesale sale transaction. For outputs generated from this application include purchase reports, retail sales reports, and wholesale sales reports. With the application of purchase and sale of clothing processed by the admin, is expected to facilitate in managing the recording of the purchase and sale of clothing more effectively and efficiently.

Sistem Informasi Berbasis Web Untuk Pemesanan Layanan Fotografi Saadah, Rabiatus; Rezki, Muhammad; Ihsan, Muhammad Ifan Rifani
Jurnal Sistem Informasi Akuntansi Vol 5 No 2 (2024)
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/justian.v5i2.7542

Information systems are here to provide various supports and conveniences in various aspects of life, including in the economic sector. One example is a photo studio, which is a business in the economic sector that utilizes information systems. This business offers photography services with a wide target market. However, the process of promoting and managing photo studios is still mostly done manually and has not utilized the information system optimally, so it is prone to errors, such as in delivering service package information, ordering, and making reports. The use of information systems aims to minimize these errors while optimizing the promotion of services offered by service providers such as photo studios, photographers, and freelance videographers. This system is designed to display detailed information, including portfolios and galleries of work, making it easier for consumers to place orders. In addition, this information system can also generate periodic order reports for service providers. System development is carried out using the Waterfall method, PHP programming language, Laravel framework, and MySQL database.

Implementasi Enterprise Resource Planning Berbasis Odoo Pada Toko Terbis Siti, Siti Nurdiani; Ihsan, Muhammad Ifan Rifani; Julianto, Muhammad Fahmi
Jurnal Sistem Informasi Akuntansi Vol. 6 No. 1 (2025): Periode Maret 2025
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/justian.v6i1.8711

Bagi usaha seperti Toko Terbis, pengelolaan operasional bisnis sehari-hari menjadi tantangan yang signifikan. Tantangan ini meliputi pengelolaan stok yang tidak terstruktur, pencatatan keuangan yang rawan kesalahan, serta pengelolaan pesanan yang sering memakan waktu. Proses manual yang selama ini diterapkan sering kali mengakibatkan ketidakakuratan data, penurunan produktivitas, dan kurang optimalnya penggunaan sumber daya. Hal ini tidak hanya berdampak pada efisiensi internal tetapi juga pada kualitas layanan yang diberikan kepada pelanggan. Penerapan sistem ERP berbasis Odoo menawarkan solusi yang relevan untuk mengatasi tantangan tersebut. Odoo adalah platform ERP bersifat open source yang dirancang untuk memberikan fleksibilitas dan kemudahan dalam mengelola berbagai aspek operasional bisnis.

Rancang Bangun Sistem Informasi Pembelian Dan Penjualan Pakaian Pada Toko Al-Gaza Busana Pontianak Berbasis Web Diaz Arizona, Nanda; Iqbal, Muhammad; Sony Maulana, Muhammad; Nurdiani, Siti; Rifani Ihsan, Muhammad Ifan
Jurnal Sistem Informasi Akuntansi Vol. 5 No. 1 (2024): Periode Maret 2024
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/justian.v5i1.3823

Al-Gaza Busana Store Pontianak is a trading store that sells various clothes ranging from children to adults. The case reviewed in this Final Project is the recording of clothing purchases and sales. Each recording of clothing sales transactions at Al-Gaza Busana Store is still done in a simple way that is recorded in the journal and recording every day and then recorded every once a month. As for the recording of clothing purchases there is no book keeping, just a note of every purchase transaction kept by the shop owner. By looking at the above problem, it is necessary to purchase and sale application at Al-Gaza Busana Store Pontianak that manages data of clothing, clothing data, agent data, admin data, entrant data, purchase transaction, retail sale transaction, wholesale sale transaction. For outputs generated from this application include purchase reports, retail sales reports, and wholesale sales reports. With the application of purchase and sale of clothing processed by the admin, is expected to facilitate in managing the recording of the purchase and sale of clothing more effectively and efficiently.

Sistem Informasi Berbasis Web Untuk Pemesanan Layanan Fotografi Saadah, Rabiatus; Rezki, Muhammad; Ihsan, Muhammad Ifan Rifani
Jurnal Sistem Informasi Akuntansi Vol. 5 No. 2 (2024): Periode September 2024
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/justian.v5i2.7542

Information systems are here to provide various supports and conveniences in various aspects of life, including in the economic sector. One example is a photo studio, which is a business in the economic sector that utilizes information systems. This business offers photography services with a wide target market. However, the process of promoting and managing photo studios is still mostly done manually and has not utilized the information system optimally, so it is prone to errors, such as in delivering service package information, ordering, and making reports. The use of information systems aims to minimize these errors while optimizing the promotion of services offered by service providers such as photo studios, photographers, and freelance videographers. This system is designed to display detailed information, including portfolios and galleries of work, making it easier for consumers to place orders. In addition, this information system can also generate periodic order reports for service providers. System development is carried out using the Waterfall method, PHP programming language, Laravel framework, and MySQL database.

Implementasi Algoritma Apriori Dalam Analisa Penjualan Sparepart Motor Ihsan, Muhammad Ifan Rifani; Irmanti, Kanita Salsabila Dwi; Dama, Desi Masdin
Jurnal Pariwisata Bisnis Digital dan Manajemen Vol. 1 No. 1 (2022): Jurnal Pariwisata, Bisnis Digital dan Manajemen Periode Mei 2022
Publisher : LPPM Universitas Nusa Mandiri

Abstract— In 2020, Indonesia's population is dominated by Gen Z (born 1997-2012) and Millennials (born 1981-1996). ). Gen Z accounts for 27.94% of the total population and millennials reach 25.87%. Most of these two generations are in the working age group, which could be an opportunity to accelerate economic growth. The government needs to encourage generations z and millennials to become entrepreneurs. The government calls on millennials to start a business. Technology development allows people to become entrepreneurs and self-employed. Changes in the usage of this technology will affect the human resource management of the. The gig economy enhances the flexibility and ability to hire skilled professionals from different parts of the world across time zones and geographic boundaries. This dynamics presents us with new challenges. Gig worker represents the balance between immediate working life and the need to increase income. Today's workers want flexibility in their work. The research method used is qualitative to primary data and secondary data. In addition, the data source was explained qualitatively. The survey results were performed by UBSI Jakarta Z- and 130 student repondents. The respondent has knowledge of entrepreneurship 60.8% and 39.2% of respondents can not understand. The type of work of GIG economy and generation z Gig era was awarded 47.7% itself, and then the work in society was determined by 28.4% free lancer. Reasons for choosing a job type show that 40% receive unlimited income, 25.4% are flexible, 26.2% of respondents are rewarded according to their job, and 8.5% choose others a job. Keywords: Entrepreneur, Gen Z, Millennials, GIG economy

Aplikasi Segmentasi Negara Berdasarkan Indikator Ekonomi dan Kesehatan Berbasis Algoritma K-Means dan Streamlit. PURBA, SRI FUNKY LEDY; TANGDIRERUNG, JHON TRAVOLTA; ENJELINA, ESTER; RIFANI IHSAN, MUHAMMAD IFAN
DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Vol 6, No 2: DESEMBER 2025
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/device.v6i2.7865

Penelitian ini memiliki tujuan untuk mengelompokkan negara-negara di dunia berdasarkan indikator ekonomi dan kesehatan menggunakan algoritma K-Means, serta menampilkannya melalui aplikasi interaktif Streamlit. Data berasal dari World Development Indicators dan mencakup variabel seperti PDB, harapan hidup, angka kelahiran, angka kematian, akses listrik, dan pengeluaran pemerintah untuk kesehatan. Data dianalisis melalui langkah-langkah pembersihan, standarisasi, dan penentuan jumlah klaster optimal menggunakan metode Elbow, yang menghasilkan tiga klaster utama: negara berpenghasilan tinggi, menengah, dan rendah. Visualisasi menggunakan Principal Component Analysis (PCA) menunjukkan pemisahan klaster yang jelas dan mencerminkan perbedaan tingkat kesejahteraan antar negara. Aplikasi berbasis Streamlit memudahkan pengguna untuk memahami pola pembangunan global secara interaktif. Hasil penelitian ini diharapkan dapat menjadi dasar bagi pengembangan kebijakan pembangunan yang efektif dan adil.

Pengembangan Sistem Prediksi Bitcoin Mengunakan Algoritma ARIMA Dan SARIMA dengan API Coingecko Ihsan, Muhammad Ifan Rifani; Aborneo, Newsem; Nugroho, Ferry; Aziz, Faqih Abdul; Danuarta, Daniel
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 8, No 6 (2025): Desember 2025
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v8i6.9989

Abstrak – Penelitian ini mengembangkan sistem prediksi harga Bitcoin menggunakan metode ARIMA dan SARIMA dengan data real-time dari API CoinGecko. Data di kumpulkan dalam 4 interval waktu (15 menit, 30 menit, 1 jam, 1hari) dan dibagi menjadi 80% data training serta 20% data testing. Uji stasioneritas Augmented Dickey-Fuller (ADF) awal menunjukan data tidak stasioner (p-value=0,5725), namun menjadi stasioner setelah di proses differencing (p-value=0,0000). Hasil evaluasi model menunjukan bahwa SARIMA secara signifikan lebih unggul di bandingkan ARIMA. Model SARIMA menghasilkan MAPE 0.76%, MAE 843,27, RMSE1.095,43, dan korelasi 0,92. Sementara itu, ARIMA hanya menghasilkan MAPE 2.81%, MAE 3.091,65, RMSE 3.750,52, dan korelasi -0,28. Keunggulan SARIMA di sebebkan kemampuan menangkap pola musiman dalam data. Sistem ini berhasil diimplementasikan menggunakan framework Streamlit dengan fitur auto-refresh 30 detik dan visualisasi candlestick chart interaktif. Sistem prediksi real-time ini dapat menjadi alat pendukung keputusan investasi yang akurat bagi investor cryptocurrency.Kata kunci : Prediksi Bitcoin; ARIMA;SARIMA; Stremalit; API CoinGecko; Abstract - This research develops a Bitcoin price prediction system using ARIMA and SARIMA methods with real-time data from the CoinGecko API. Data was collected in 4 time intervals (15 minutes, 30 minutes, 1 hour, 1 day) and split into 80% training data and 20% testing data. The initial Augmented Dickey-Fuller (ADF) stationarity test showed the data was non-stasionary (p-value=0.5725), but became stasionary after the differencing processs (p-value=0.0000). Evaluation results show that SARIMA performed significantly better than ARIMA. The SARIMA model yielded a MAPE of 0.76%, MAE of 843.27, RMSE of 1.095,43, and a correlation of 0,92. In contrast, the ARIMA model only achived a MAPE of 2,81%, MAE of 3.091,56, RMSE 3.750,52, and a correlation of -0,28. SARIMA’s superiority is attributed to its ability to capture seasonal patterns in the data. The system was successfully implemented using the streamlit framework, featuring 30-second auto-refresh and interactive candlestick chart visualization. This real-time prediction system can serve as an accurate decision support tool for cryptocurrency investors.Keywords: Prediction Bitcoin; ARIMAt; SARIMA; Streamlit; API CoinGecko.

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