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All Journal Nuansa Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA Kinerja: Jurnal Ekonomi dan Manajemen KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) The IJICS (International Journal of Informatics and Computer Science) JURIKOM (Jurnal Riset Komputer) Building of Informatics, Technology and Science Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) Dharmas Education Journal (DE_Journal) Jurnal ABDIMAS Budi Darma Jurnal Pengabdian Masyarakat Gemilang (JPMG) Innovative: Journal Of Social Science Research Amkop Management Accounting Review (AMAR) Jeinsa : Jurnal Ekonomi Ichsan Sidenreng Rappang Jurnal Gemilang Informatika (GIT) ORAHUA : Jurnal Pengabdian Kepada Masyarakat PIAF : Paser Institute Journal Of Accounting And Finance JPFT (Jurnal Pendidikan Fisika Tadulako Online) Asian Journal of Science Education Jurnal Akademik Pengabdian Masyarakat Ichsan Sidenreng Rappang
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Universitas Budi Darma
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Journal : Jurnal Sistem Komputer dan Informatika (JSON)

 1 
Sistem Pendukung Keputusan Pemilihan Sales Marketing Terbaik di PT. Alfa Scorph Menggunakan Metode COPRAS Siregar, Alwali Daini Udda; Hasibuan, Nelly Astuti; Fadlina, Fadlina
Jurnal Sistem Komputer dan Informatika (JSON) Vol 2, No 1 (2020): September 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v2i1.2455

Abstract

Of the various functions that exist in a company engaged in the business world, the function of marketing or marketing functions is a very vital and strategic function for the company concerned. The rapid development of the business world, accompanied by increasingly intense business competition, has actually strengthened the position of the marketing aspect of this vital and strategic position, Sales are the jobs most needed by the company, these 10 specialties, total vacancies for sales are 19%, followed by financial default by 18%, while IT / communication amounts to 13%. Job vacancies as sales are widely available, but lack of interest, therefore companies find it difficult to find employees in the sales department The COPRAS method assumes a direct and proportional dependence on the level of significance and utility of the alternatives in the presence of conflicting criteria. This takes into account the performance of alternatives with respect to different criteria and also the weight of the appropriate criteria. This method chooses the best decision considering the ideal and ideal solution - worst. The COPRAS method used here for decision making in the manufacturing environment adopts a six-stage procedure ranking and evaluates alternatives in terms of their level of importance and usefulness. The COPRAS method has the ability to take into account positive (favorable) and negative (unfavorable) criteria, which can be assessed separately in the evaluation process. The most important feature that makes the COPRAS method superior to other methods is that it can be used to calculate the level of alternative utility that shows the extent to which alternatives are taken for comparison
Sistem Pendukung Keputusan Pemilihan Kepala Desa Terbaik Menerapkan Metodethe Extended Promethee II (EXPROM II) Nurlela Nurlela; Muhammad Syahrizal; Fadlina Fadlina; Abdul Karim
Jurnal Sistem Komputer dan Informatika (JSON) Vol 1, No 3 (2020): Mei 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (336.22 KB) | DOI: 10.30865/json.v1i3.2151

Abstract

Decision Support System is a system that can help management in making the right decision, which is needed at a management level. Likewise at the Lubuk Pakam Sub-District Office in selecting the best village head. So far, the Camat Office has never determined the best village head in Lubuk Pakam Subdistrict, so that it encounters obstacles in choosing the village head election. SPK is able to provide alternative solutions to semi / unstructured problems for individuals or groups and in a variety of decision making processes and styles, SPK uses data, databases and analyzes of decision models. Seeing this, researchers are interested in conducting research by applying the Extended Promethee II (EXPROM II) method to elect the best village head in a decision support system. It is expected that the results of the research can help the Lubuk Pakam sub-district
Implementasi Data Mining Pada Penjualan Handphone Menggunakan Algoritma Apriori Bagariang, Luhut F Afriando; Fadlina, Fadlina
Jurnal Sistem Komputer dan Informatika (JSON) Vol 6, No 3 (2025): Maret 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v6i3.8813

Abstract

Tren data mining, didorong AI dan ML, berkembang pesat dengan adopsi luas di berbagai industri. Algoritma Apriori efisien menemukan pola asosiatif dalam dataset besar, khususnya analisis transaksi penjualan produk. Implementasi data mining pada penjualan handphone meningkatkan keputusan bisnis, memahami pola pembelian, dan memprediksi tren pasar masa depan. Penelitian ini bertujuan memahami signifikansi kontribusi algoritma Apriori dalam menetapkan strategi penjualan handphone oleh suatu bisnis. Data yang digunakan adalah transaksi penjualan unit handphone Infinix pada periode Maret hingga April 2020 oleh merchant di Jakarta. Tujuan penggunaan data adalah untuk mengetahui merek handphone Infinix yang laris dijual. Berdasarkan hasil analisis algoritma Apriori, yang meninjau menurut aturan asosiasi, disimpulkan bahwa merek Infinix S5, Infinix S5 Lite, dan Infinix Hot 8, merupakan merek handphone yang paling laris terjual oleh bisnis tersebut, dengan nilai confidence mencapai 100%. Penjual handphone dapat menggunakan data untuk melakukan pemasaran produk terkait, dalam meningkatkan jumlah transaksi di masa mendatang.
Implementasi Data Mining Pada Penjualan Handphone Menggunakan Algoritma Apriori Bagariang, Luhut F Afriando; Fadlina, Fadlina
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 6 No. 3 (2025): Maret 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v6i3.8813

Abstract

Tren data mining, didorong AI dan ML, berkembang pesat dengan adopsi luas di berbagai industri. Algoritma Apriori efisien menemukan pola asosiatif dalam dataset besar, khususnya analisis transaksi penjualan produk. Implementasi data mining pada penjualan handphone meningkatkan keputusan bisnis, memahami pola pembelian, dan memprediksi tren pasar masa depan. Penelitian ini bertujuan memahami signifikansi kontribusi algoritma Apriori dalam menetapkan strategi penjualan handphone oleh suatu bisnis. Data yang digunakan adalah transaksi penjualan unit handphone Infinix pada periode Maret hingga April 2020 oleh merchant di Jakarta. Tujuan penggunaan data adalah untuk mengetahui merek handphone Infinix yang laris dijual. Berdasarkan hasil analisis algoritma Apriori, yang meninjau menurut aturan asosiasi, disimpulkan bahwa merek Infinix S5, Infinix S5 Lite, dan Infinix Hot 8, merupakan merek handphone yang paling laris terjual oleh bisnis tersebut, dengan nilai confidence mencapai 100%. Penjual handphone dapat menggunakan data untuk melakukan pemasaran produk terkait, dalam meningkatkan jumlah transaksi di masa mendatang.
Co-Authors Abdul Karim Abdul Sani Sembiring Akmal Dirgantara Lubis Akob, Rezky Arianti Amin, Gazali AMRIZAL SALIDA Arief Satria Asrini Asrini Atika Suri B, Isma Bagariang, Luhut F Afriando Darma Taksiah Sihombing, Darma Taksiah Daulay, Nur Hasanah Dicky Marsella Fince Tinus Waruwu Fitriani Fitriani Garuda Ginting Guidio Leonarde Ginting Haeril, Haeril Hamdi Hamdi Imam Saputra Indarwani, Indarwani Isti Ratnaningtyas, Delthawati Johan, Fakhri Juleha Juleha juminarni, Aryuni Kurnia Ulfa Kurniawan Kurniawan Lince Tomoria Sianturi Lisra, Lisra Mariam Makmur Mas'ud, Busrin Rahana Mas'ud, Busrin Raihana Mas’ud, Busrin Raihana Muhammad Jarnawi Muhammad Syahrizal Muhammad Taufiq Murdani Murdani, Murdani Ndruru, Eferoni Nelly Astuti Hasibuan Nur Rahmah Wahyuddin Nurjannah Nurjannah Nurlela Nurlela Pratiwi, Rizka Dwi Ritonga, Soleh Rizky, Nadia Fariza Royanti Manurung Sahat Roni Saidi Ramadan Siregar Sam Hermansyah Setyawati Arbaatun Siregar, Alwali Daini Udda Siregar, Anggi Yakup Siska Subuh Hati Tarigan Sitanggang, Taufan Siti Nurhabibah Hutagalung Sri Wahyuni Jumadi Suriadi Surya Darma Nasution Ulfa, Kurnia Usman Usman