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All Journal Techno.Com: Jurnal Teknologi Informasi JURNAL SISTEM INFORMASI Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Ilmiah Teknologi Informasi Asia Journal of Information System, Applied, Management, Accounting and Research JISA (Jurnal Informatika dan Sains) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Jurnal Teknologi Informatika dan Komputer Bulletin of Information Technology (BIT) Pelita Teknologi : Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan SIGMA: Information Technology Journal Joong-Ki : Jurnal Pengabdian Masyarakat Journal of Practical Computer Science (JPCS) Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Lentera Pengabdian VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Jurnal Pelita Pengabdian SAINTEK Joong-Ki JPMAS : Jurnal Pengabdian Masyarakat
Agung Nugroho
Universitas Pelita Bangsa
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences Other

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Journal : SIGMA:%20Information%20Technology%20Journal

 1 
Sistem Pakar Corrective Bay Penghantar Gardu Induk Mekarsari Karawang Dengan Metode Forward Chaining Agung Nugroho
Jurnal SIGMA Vol 12 No 2 (2021): Juni 2021
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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The need for electrical and technological energy at this time has grown so rapidly that electrical energy becomes one of the main needs in life. In the course of the substation itself in distributing power supply many disturbances that sometimes disrupt the distribution of electricity in factors such as equipment age and external factors such as lightning and so on. So in need of a system that can help in overcoming the disruption that occurred. The research method used is Quesioner methodology, Interview or Q & A, analysis which includes making flowcharts, and in system design include making State Transition Diagram (STD) and proposed proposal system design (Msukan Design, Process and Output). This study contains about the design of expert systems to find a solution of the disturbances that occur in the bay Deliver by diagnosing the symptoms that arise on the substation. This system is a new system design that is used to find the right disturbance solution, fast, and efficient. The author in this case designed the system by mengguanakan forward chaining method as for this application is made with PHP programming language and using MySQL Database. With this expert system is expected to mengefisiensikan various things such as communication, time and so forth in handling disruptions that occur. Keywords: Expert System, Disturbance, Indication
Mencegah Kredit Macet Dengan Analisa Kelayakan Pembiayaan Dengan Metode C4.5 Dan Naïve Bayes (Studi Kasus : Koperasi BMT UGT Sidogiri Cabang Cikarang) Agung Nugroho
Jurnal SIGMA Vol 11 No 2 (2020): Juni 2020
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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The progress of the growth of MSMEs (Micro, Small and Medium Enterprises) in Indonesia from time to time which is increasingly rapid, resulting in an increase in the need for capital to develop their business. This is evidenced by the increasing number of credit or financing withdrawals from savings and loan cooperatives and BPRs (Rural Banks). The problem faced by savings and loan cooperatives, BPRs, or other financial institutions at this time in providing credit is the risk of late payments, repayments and even failure of credit payments. This problem occurs due to credit misuse and weak supervision both in the process of providing credit and in the implementation stage. The right solution to solve existing problems is by using data mining algorithms. The concept of data mining will make it easier to solve problems that are not optimal in cooperatives, the classification method is able to find models that differentiate concepts or data classes with the aim of making it easier to predict creditworthiness. The Naive Bayes algorithm and the C4.5 algorithm are considered to be able to predict future opportunities based on previous experiences. The author conducted research on the BMT UGT Sidogiri Cooperative with the title "Preventing bad credit by analyzing the feasibility of financing with the Naive Bayes and C4.5 methods". In this study the authors used 9 attributes as an assessment, namely: name, residence status, financing contract, income, ceiling, term of repayment, number of dependents, collateral. Testing is done using 520 data and 104 randomly selected testing data. From the results of tests carried out using Rapid Miner tools, it can be concluded that the accuracy level of the C4.5 algorithm is more accurate at 81.35%, while the Naive Bayes algorithm is 78.85%. Keywords : Credits, Classification, Accuracy, Naive Bayes, C4.5.
Sistem Pendukung Keputusan Penentuan Penerimaan Beasiswa Sma Negeri 1 Serang Baru Kabupaten Bekasi Menggunakan Metode Simple Additive Weighting (SAW) Agung Nugroho; Alfatan Dzulatkha
Jurnal SIGMA Vol 10 No 3 (2019): September 2019
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Pendidikan pada masa sekarang memang dianggap sangat penting sehingga negara sangat mendukung setiap warga negaranya untuk meraih pendidikan setinggitingginya. Saat ini SMA Negeri 1 Serang Baru belum diterapkan suatu metode dalam membantu menyeleksi siswa penerima beasiswa. Beasiswa dapat dikatakan sebagai pembiayaan yang tidak bersumber dari pendanaan sendiri atau orang tua, akan tetapi diberikan oleh pemerintah, perusahaan swasta, kedutaan, universitas, serta lembaga pendidik atau peneliti, namun banyak beasiswa yang dirasa kurang tepat sasaran sehingga perlu adanya suatu sistem pendukung keputusan guna meminimalisir kesalahan pemberian beasiswa. Sistem pendukung keputusan yang akan dibangun menggunakan metode Simple Additive Weighting. Dalam membangun sistem ini menggunakan metode pengembangan sistem model Waterfall, desain sistem menggunakan Unified Modelling Language pengujiannya menggunakan metode pengujian BlackBox dan untuk implementasi sistem menggunakan bahasa pemograman web, PHP, Javascript dan database MySQL. Hasil dari penelitian ini adalah sebuah sistem pendukung keputusan penerimaan beasiswa menggunakan metode SAW dan telah berhasil di implementasikan, diharapkan dengan adanya sistem tersebut dapat menjadi alternatif metode pengambilan keputusan dalam proses menyeleksi penerimaan beasiswa. Kata Kunci : Simple Additive Weighting, Sistem Pendukung Keputusan, Beasiswa Kata Kunci: Simple Additive Weighting, Sistem Pendukung Keputusan, Beasiswa
Penerapan Data Mining Untuk Prediksi Pola Pembelian Pelanggan Menggunakan Algoritma Apriori (Studi Kasus: Toko Jihan) Ratna Arista; Agung Nugroho; Nanang Tedi Kurniadi
Jurnal SIGMA Vol 14 No 3 (2023): September 2023
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Determining the combination of items and the layout of goods based on consumer purchasing trends is one solution for Toko Jihan in developing marketing strategies so as to increase sales at the store. The algorithm that can be used to find any combination of items that are often purchased together at a time is the Apriori Algorithm, the apriori algorithm is a market basket analysis algorithm used to generate association rules, with an "if then" pattern. In the apriori algorithm, frequent itemset-1, frequent itemset-2, and frequent itemset-3 are determined to obtain association rules from previously selected data. To get the frequent itemset, each data that has been selected must meet the minimum support and minimum confidence requirements. In this study using different minimum support and minimum confidence comparisons based on existing transaction data using a minimum support of 20% and a minimum confidence of 80% resulted in four association rules. One example is if the consumer buys cooking oil, coffee then 87% (certainty of consumers in buying items) will buy eggs. Keywords: Association Rule Mining, Apriori Algorithm, Support, Confidence.
Sistem Informasi Yayasan Nusantara Terdidik Berbasis Website M. Aufi Rahman; Muhtajuddin Danny; Agung Nugroho
Jurnal SIGMA Vol 14 No 3 (2023): September 2023
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

The activities carried out by the Nusantara Terdidik Foundation are still fairly conventional. The absence of a website that can contain information on every activity, activity results, latest news and fundraising, still makes it difficult for people to want to know more about the activities and activities of the Nusantara Terdidik Foundation which is engaged in education or cares about remote education. With the creation of this website-based information system, it is hoped that it can help the Educated Nusantara Foundation to be more easily accessible or seen by the wider community. Keywords: Information, Website, Foundation, Education
Co-Authors Abdul Halim Anshor Adi Kusuma Afrizal Ardiansyah Ahmad Rivaldi Ahmad Santoso Ahmad Turmudi Zy Ahmad Turmudi Zy Alfatan Dzulatkha Amali Amali Ananto Tri Sasongko Andri Firmansyah Angga Kurniadi Hermawan Ari Maulana Arif Susilo Arif Tri Widiyatmoko Aswan S Sunge Aswan Supriyadi Sunge Ayu Indriyanti Donny Maulana Edora Elkin Rilvani Endrik Gatot Tri Pranoto Ike Yunia Pasa Ikhsan Romli Irfan Afriantoro Jamaludin Jamaludin Londong, Riko Reky M. Aufi Rahman Miftah Wangsadanureja Muhamad Ekhsan Muhammad Abdul Rahman Wahid Muhammad Rizki Sani Muhtajuddin Danny Nanang Tedi Kurniadi Nur Hidayati Purnama Sakhrial Pradini Ratna Arista Rusdi, Adi Salman Alfaridzi Septiawan Dwi Pramukti Supriadi, Asmadi Sutrisno Aji Prasetyo Wahyu Hadikristanto Wiyanto Wiyanto Yoga Religia