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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Foristek Lontar Komputer: Jurnal Ilmiah Teknologi Informasi JSI: Jurnal Sistem Informasi (E-Journal) Jurnal Simantec Jurnal Mahasiswa Fakultas Hukum Majalah Komunikasi Massa Proceeding of the Electrical Engineering Computer Science and Informatics Journal of Information Technology and Computer Science (JOINTECS) JURNAL MEDIA INFORMATIKA BUDIDARMA SMARTICS Journal Jurnal Eksplora Informatika JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Elektrika Conference on Innovation and Application of Science and Technology (CIASTECH) Jurnal RESISTOR (Rekayasa Sistem Komputer) Systemic: Information System and Informatics Journal Jurnal Mantik Jurnal Ilmu Komputer dan Bisnis JUKANTI (Jurnal Pendidikan Teknologi Informasi) Jurnal Teknologi Dan Sistem Informasi Bisnis JSR : Jaringan Sistem Informasi Robotik e-NARODROID Jurnal Teknik Informatika (JUTIF) Jurnal Nasional Ilmu Komputer Insyst : Journal of Intelligent System and Computation Wijayakusuma Law Review Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Jurnal Nasional Teknik Elektro dan Teknologi Informasi KNOWLEDGE: Jurnal Inovasi Hasil Penelitian dan Pengembangan Jurnal Borneo Informatika dan Teknik Komputer (JBIT) SATIN - Sains dan Teknologi Informasi Nusantara Journal of Computers and its Applications Jurnal Pendidikan Teknologi Informasi (JUKANTI) Determinasi: Jurnal Penelitian Ekonomi Manajemen dan Akuntansi Digitus : Journal of Computer Science Applications
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Journal : Systemic: Information System and Informatics Journal

Sistem Penunjang Keputusan Seleksi Atlet Berdasarkan Data Fisik Menggunakan Naïve Bayes yosia halundaka; Din Syamsudin; Aryo Nugroho
Systemic: Information System and Informatics Journal Vol. 6 No. 1 (2020): Agustus
Publisher : Program Studi Sistem Informasi Fakultas Sains dan Teknologi, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29080/systemic.v6i1.935

Abstract

The purpose of this observation was to predict the passing rate of the physical test results of the participants of the martial arts athlete organized by KONI. The researchist made a classification based on data obtained from trainer of physical martial arts Kempo by using data mining. Data mining can be interpreted is a process extractcing new informartion was taken from big chunk of data for support the results of making decision support systems. Therefor using decision support systems which can help make a decision to choose the best athlet. In data mining there are many methods that can be used, one of them is the classification method by using alogarithms naive bayes. The results obtained from this observation is Correctly Classified Instances 94.4% with speed presentase 60% and 70% bring out Correctly Classified Instances 92.85%, while speed presentase 80% bring out Correctly Classified Instances 88.89%.
Sistem Penunjang Keputusan Pemasaran Produk X Menggunakan Metode K-Means Ach. Syuhbanul Yaumi; Zainul Zulfiqkar; Aryo Nugroho
Systemic: Information System and Informatics Journal Vol. 6 No. 1 (2020): Agustus
Publisher : Program Studi Sistem Informasi Fakultas Sains dan Teknologi, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29080/systemic.v6i1.936

Abstract

The problem that is currently in store is the difficulty to find out which product x is currently in high demand or is most widely used by consumers so that inventory of product x can be met according to customer demand and does not occur out of stock. Therefore, in the research grouping with the K-Means method for marketing product x is one way to determine customer choices for product x consumed. In this study grouping data from questionnaires or questionnaires that are distributed in stores, then the data are grouped into 2 groups using one of the clustering algorithms, K-Means. The data used are data collected by 366 respondents of store customers. After the data is processed using one of the data mining methods, the K-Means algorithm, shows that cluster 1 is a type A consumer group with a percentage of 33%, while cluster 2 is a type B consumer group with a percentage of 67%.
Prediksi Penyediaan Stok Barang Pada Toko Mintxchoco Merchandise Surabaya Menggunakan Algoritma Apriori Anggi Rizki Septiani; Alfarizi Kurniawan Lesmana; Aryo Nugroho
Systemic: Information System and Informatics Journal Vol. 7 No. 1 (2021): Agustus
Publisher : Program Studi Sistem Informasi Fakultas Sains dan Teknologi, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29080/systemic.v7i1.1306

Abstract

The number of sales transactions that occur every day makes the sales transaction data increase. Sales transaction data is only used as an archive for a store. Due to the large number of customer requests for goods, there is a shortage of goods. Shortage or stock of goods in a store/company will have a very bad impact on the success and sales of buying and selling transactions. To prevent this, a system is needed that can help to find out early about the availability of goods in the store. The method used in this research is the association rule method using a priori algorithm. The a priori algorithm is a data mining technique to find combinations of items in the database, the results of the research conducted, the a priori algorithm can make it easier to find patterns of combinations of items in the dataset. The information obtained can help decision makers to determine the priority of stock inventory.
Co-Authors Ach Syuhbanul Yaumi Ach. Syuhbanul Yaumi Achlaq, Mochammad Mizanul Achmad Musyaffa Taufiqi Aditya Bimandaru Agung Widodo Ahmad Khozin Al Azam, Moh Noor Al-Azam, Moh Noor Alamsyah - Alfarizi Kurniawan Lesmana Alvina Shanaz Oktavia Amelia Miska Rahayu Andhika Ryan Pratama Anggi Rizki Septiani Anindito, Benediktus Aprilian Lisa Maryanto Arief Kurniawan Arief Kurniawan Arief Kurniawan Arifah Putri Nabilah Awalludiyah Ambarwati Azizah, Maulidya Nanda Badrus Zaman Bagus Prasetyo Budiono Bayu Indra Kusuma Bayu Saputra Benediktus Anindito Benny Wijaya Budi Wibowo Suhanjoyo Cahyo Darujati Daniel Happy Putra Darian Rizaludin Darujati, Cahyo Dedy Priyambodo Dewi, Ratna Kusuma Din Syamsudin Din Syamsudin Diva Istighfarin Ayu Setianti Eko Budi Santoso Fachrudin, Tresna Maulana Fardiansyah, Muhammad Yusuf Firmansyah, Fariz Galih Hery Herlambang Herlambang, Galih Hery Hidayatillah, Rumaisah I Made Purbhawa I Wayan Teresna, I Wayan Imron Rosydi Irhab, Moh Dzaky Islam, Mochammad Fakhrul Ivan Ubaidillah Sekar Wibowo Izzudin, Rafi Jacky Ma'ruf Fatoni Jelita, Lucia Devlina Adventia Kadek Amerta Yasa Kirana, Viona Chandra Kunto Eko Susilo Latifah Rifani Lestari, Rani Wahyu Marthalia, Lia Maulana, Achmad Zaffri Maulidya Nanda Azizah Mauridhi Hery Purnomo Mirwan Mirwan Mochammad Mizanul Achlaq Moh Noor Al Azam Moh Noor Al-Azam Moh Noor Al-Azam Mohammad Hakam Muh Dimas Yudianto Muhamad Nur Arifin Muhammad Mustajib Muhammad, Iqbal Nur Neta Kania Salsabila Nur, Putri Annisa Oktavia, Alvina Shanaz Permana, Kevin Praba Caesar Bagaskara Prakoso, Muhammad Wisnu Putra, Zuda Pradana Rahmah, Intan Luthfiyah Richardus Eko Indrajit Ricsa Andrean Ricsa Andrean Rumaisah Hidayatillah Rumaisah Hidayatillah Satria Eka Dicky Kurniawan Septian Fendy Septian Fendyputra Pratama Septian, Jeremy Andre Setianti, Diva Istighfarin Ayu Setyawan, Kukuh Rachmad Siregar, Raja Yosia Manahan Trinitas Slamet Winardi Sumerta Yasa, I Made Surya Sumpeno Susilo, Kunto Eko Tresna Maulana Fahrudin Tresna Maulana Fahrudin Wahyu Lestari, Rani Wardhana, Sultan Fahresi Duta Wiwin Agus Kristiana Yosia Chrismas Decky Halundaka yosia halundaka Yulius Satmoko Raharjo Zainul Zulfiqkar Zainul Zulfiqkar Zuda Pradana Putra