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All Journal Jurnal Mantik Bulletin of Information Technology (BIT) SIGMA: Information Technology Journal Journal of Practical Computer Science (JPCS) VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Welfare: Jurnal Pengabdian Masyarakat
Arif Siswandi
Universitas Pelita Bangsa
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Engineering Environmental Science Languange, Linguistic, Communication & Media Social Sciences

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Sistem Informasi Kalibrasi Inspection Jig Berbasis Web Arif Siswandi
Jurnal SIGMA Vol 12 No 4 (2021): Desember 2021
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

The development of science and technology in this era of globalization has been so rapidly. In line with the problem we face also more complex. Therefore we are required to be able to solve existing problems by utilizing technological sophistication and speed, accuracy and accuracy in providing information so that in carrying out the work can be obtained optimal results. One of them is by utilizing computer technology. The program has several weaknesses in database processing, among others, in the search data less quickly and in the editing process we have to block the data we will edit and then we delete and new editing process can take place. With dreamweaver, php and mysql provide ease in the process of searching data, the process can we set as we want without blocking the data we will edit through the programming language. To secure data security, the difference is the access rights for each user is very important. Because there are some data that it can only be accessed by certain people who are authorized to handle it. Designed program is expected to facilitate the process of data entry, edit data, delete data and search calibration data. Keywords: Technology, Information, Programming, Calibration, Inspection.
Sistem Pendukung Keputusan Penilaian Kinerja Guru Terbaik Pada SMA Negeri 1 Telukjambe Barat Menggunakan Metode Analytic Hierarchy Process (AHP) Arif Siswandi
Jurnal SIGMA Vol 11 No 2 (2020): Juni 2020
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

In line with this global era, with the rapid development of technology the need for information is needed. Moreover, the information generated contains true, accurate, fast and precise values. Problems that often occur in the teacher performance appraisal process include the subjectivity of decision making, especially if some teachers have responsibilities that are not much different. Decision support system is a decision making process assisted by using computers to help decision making by using certain data and models to solve some unstructured problems. While the Analytic Hierarchy Process (AHP) is a method or tool in multi-criteria decision making using the help of Expert Choice Ver.11 software. the criteria used as a benchmark in determining the assessment of the best teacher performance at SMAN 1 Telukjambe Barat are: Responsibility, Discipline, Diligent, Friendly. From this study found that responsibility is a priority or is preferred at SMAN 1 Telukjambe Barat from the 19 teachers Maya has far better responsibilities and meets the criteria to be the best teacher compared to other teachers. Keywords : Decision Support System (SPK), Analytic Hierarchy Process (AHP), Expert Choice Ver.11., The best teacher
Sistem Informasi Aplikasi Sewa Gedung Wilayah Karawang Berbasis Android Arif Siswandi; Asep Muhidin
Jurnal SIGMA Vol 13 No 4 (2022): Desember 2022
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

Berbagai kegiatan yang dihadiri banyak orang diperlukan tempat yang luas untuk dapat menampung banyak orang, tempat yang sering digunakan adalah gedung. Salah satu kegiatan yang sering menggunakan tempat yang luas seperti gedung adalah acara pernikahan. Mencari gedung yang sesuai untuk acara penting terkadang tidaklah mudah, karena harus mendatangi gedung satu per satu untuk sekedar melakukan survey gedung. Khususnya masyarakat di Karawang, jarak gedung yang satu dengan yang lainnya jaraknya cukup jauh. Mendatangin gedung satu per satu dengan jarak yang berjauhan tidaklah efektif dan efisien, karena hal tersebut dapat memakan banyak waktu dan tenanga. Penulis mencoba memberikan solusi dengan cara merancang aplikasi sewa gedung berbasis android. Diharapkan dengan aplikasi sewa gedung ini dapat membantu masyarakat untuk melakukan survey atau memesan gedung menjadi lebih mudah tanpa harus mendatangi gedung secara langsung. Implementasi aplikasi ini menggunakan software Android studio dengan bahasa pemrograman Kotlin serta database MySQL. Kata Kunci : Android, Kotlin, Penyewaan, Gedung
Analisa Kepuasan Pelanggan Menggunakan Algoritma C4.5 Pada PT. Cahaya Indotama Engineering Candra Naya; Arif Siswandi
Jurnal SIGMA Vol 13 No 4 (2022): Desember 2022
Publisher : Teknik Informatika, Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/sigma.v13i4.2237

Abstract

Dalam penelitian ini kepuasan pelanggan menjadi salah satu penilaian terhadap produk dan jasa untuk memenuhi kebutuhan pelanggan. Salah satu hal yang penting dalam pengelolaan pelanggan adalah bagaimana suatu perusahaan dapat mempertahankan pelanggan yang dimilikinya. Kepuasan pelanggan merupakan perasaan senang atau kecewa seorang yang merupakan hasil dari analisa kepuasan pelanggan melalui kuesioner para pelanggan. Maka, metode klasifikasi mampu menemukan model yang mampu memprediksi dan menentukan kelas dari kepuasan pelanggan dengan data training yang telah diperoleh, Algoritma C4.5 adalah algoritma klasifikasi data dengan teknik pohon keputusan yang terkenal dan disukai karena memiliki kelebihan-kelebihan. Kelebihan ini misalnya dapat mengolah data numeric dan diskret, dapat menangani nilai atribut yang hilang, yang menghasilkan aturan-aturan mudah diinterpretasikan dan tercepat diantara algoritma yang lainnya untuk memprediksi kepuasan pelanggan dengan hasil penelitian menggunakan metode C4.5 termasuk algoritma yang akurat untuk memprediksi karena hasil akurasi menggunakan RapidMiner menyatakan tingkat accuracy, precision, dan recal C4.5 memiliki tingkat accuracy 86,11%, precision 89,02% dan recall 92,40%. Kata kunci : Data mining, Algoritma C4.5, Klasifikasi, Kepuasan pelanggan
Prediksi Persediaan Barang Tepat Waktu dengan Menerapkan Algoritma Apriori Muhammad Makmun Effendi; Farish Al Khairi; Arif Siswandi
Bulletin of Information Technology (BIT) Vol 4 No 2: Juni 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v4i2.622

Abstract

he Apriori algorithm is a data mining technique for determining associative rules for a combination of components, this study aims to find the pattern frequency of each component that has been ordered by the customer so that the order is in accordance with the number and timely delivery, therefore to support the problems faced by PT. . SMF for the combination of inventory to purchase of goods, PT SMF applies the Apriori Algorithm to predict stock of goods so that when there is an order, the goods are not lacking and the delivery is also on time. The results of the research carried out obtained the most data on goods produced every 1 month, including the Pipe Bracket and Solenoid Bracket pattern of linkages in terms of predicting the number of goods at PT. If SMF produces Pipe Brackets, it must also produce Selenoid Brackets where the resulting confidence is 60%, Nc : 4, and for the lift ratio test it is 2.307. Whereas if you produce the Selenoid Valve Bracket, you must also produce the air pipe bracket for the resulting confidence of 75%, Nc: 5, and the lift ratio test of 2.272.
Penerapan Algoritma K-Means Pada Pengelompokan Kabupaten Dan Kota Berdasarkan Jumlah Kendaraan Bermotor Wilayah Provinsi Jawa Barat Arif Siswandi; Asep Muhidin
Jurnal SIGMA Vol 14 No 2 (2023): Juni 2023
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

The vehicle is a tool that helps humans in completing work in daily activities. In the current digital era, the number of motorized vehicles is increasing rapidly, of various types and types of vehicles, which are currently developing a lot of digital technology in their features. With the increase in the number of vehicles, the impact on the number of motor vehicle users has increased dramatically, especially for land needs which we can find in big cities in Indonesia, this has an impact on traffic jams, West Java Province which has 27 administrative regions divided into 18 Regencies and 9 Cities are not spared from these traffic jams. Based on the latest data from the West Java Regional Revenue Agency (Bapenda.Jabar) in 2021 there were recorded data of 16,397,644 motorized vehicles. From the results of these data records, data mining methods with the K-Means algorithm can be used to find patterns that contain information that is useful for supporting decision making by parties who need it, such as regional financial institutions in channeling budgets in the infrastructure sector as well as by investors in determining areas to invest in. set up a business. By using the Clustering and Rapid Miner methods, the grouping of regions into 3 regions will result, namely high, medium and small potential areas based on the high mobility of the number of vehicles in the regency and city areas of West Java Province. Keywords: Vehicles, Clustering, K-Means, Rapid Miner
Implementasi Data Mining Untuk Pengelompokan Pengangguran Terbuka di Indonesia Dengan Metode Clustering Candra Naya; Arif Siswandi
Jurnal SIGMA Vol 14 No 2 (2023): Juni 2023
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

The number of unemployed as of August 2021 was 9.1 million people from all types of educational circles in Indonesia, so the percentage of unemployed in Indonesia is quite large and is a factor that can be underlined. The unemployment rate will increase every year if there are no significant efforts to reduce the percentage of unemployed in Indonesia. Therefore, there is a need for government realization in providing jobs in accordance with the groupings in the territory of Indonesia in order to know the level of unemployment clusters of the Indonesian population. The implementation of data mining using the clustering method in this study aims to determine groups of the unemployed based on the level of unemployment in the territory of Indonesia. The clustering method using the k-means algorithm can group Indonesia into three clusters, namely cluster 1 is a group of regions with a low unemployment rate which includes 3 regions, cluster 2 is a group of regions with a moderate unemployment rate which includes 10 regions, and cluster 3 is a group regions with high unemployment rates covering 21 regions. The results of the analysis obtained the percentage of each cluster, namely cluster 1 has 9% of the area, cluster 2 has 29% of the area, and cluster 3 has 62% of the area. These results are expected to provide information to the community and local government, especially in areas with high unemployment rates, to be able to carry out ideas to reduce the percentage rate of unemployment in Indonesia. Keywords: Data mining, Clustering, K-means Algorithm
implementasi media promosi dan informasi SMK merah putih berbasis website Arif Siswandi
VIDHEAS: Jurnal Abdimas Multidisiplin Vol. 1 No. 1 (2023): Juni 2023
Publisher : VINICHO MEDIA PUBLISINDO

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Abstract

Di Indonesia, terdapat beberapa tingkat pendidikan yang terdiri dari Sekolah Dasar (SD), Sekolah Menengah Pertama (SMP), Sekolah Menengah Atas (SMA), dan Sekolah Menengah Kejuruan (SMK). Salah satu SMK di Indonesia yang terkenal adalah SMK Merah Putih Cikarang. Website adalah salah satu media yang sangat efektif untuk digunakan sebagai alat promosi dan penyebaran informasi bagi sekolah, dan ini menjadi salah satu cara yang sering digunakan oleh sekolah untuk mempromosikan diri. Meskipun media pamflet sering digunakan sebagai media promosi, namun kini sudah dianggap kuno dan kurang efektif. Pembuatan Website sebagai media promosi dan informasi di SMK Merah Putih Cikarang Kabupaten Bekasi telah memberikan dampak positif bagi sekolah dalam penyebaran informasi dan promosi.
Pelatihan dan Pendampingan Learning Management System (LMS) Pada SMK Negeri 1 Tambelang Kabupaten Bekasi Ahmad Fauzi; Muhammad Najamuddin Dwi Miharja; Arif Siswandi; Miftah Wangsadanureja; Annisa Maulana Majid
Welfare : Jurnal Pengabdian Masyarakat Vol. 1 No. 1 (2023): Welfare : March 2023
Publisher : Fakultas Ekonomi dan Bisnis Islam, IAIN Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30762/welfare.v1i1.334

Abstract

The industrial revolution 4.0 has an impact on every field, one of which is the development of the world of education. Developments in the world of education can be seen in learning methods, including teaching and learning processes that are currently easily accessible for teachers and students. In the field of education, new learning methods such as the Moodle-based Learning management system are used to facilitate the teaching and learning process, but there is no implementation of a learning management system to manage online learning activities at SMK Negeri 1 Tambelang, Bekasi Regency. In this service, the implementation of the learning management system was carried out at SMK Negeri 1 Tembelang, Bekasi Regency. The Learning Management System is proven to facilitate the teaching and learning process for teachers and students at SMK Negeri 1 Tambelang, Bekasi Regency.
Co-Authors A. Yudi Permana Agung Rahmawan Ahmad Fauzi Annisa Maulana Majid Asep Muhidin Aswan S Sunge Candra Naya Encep Hambali Fajar Sigit Srijati Farish Al Khairi Martina Fitriana Miftah Wangsadanureja Muhammad Iqbal Fadillah Muhammad Makmun Effendi Muhammad Najamuddin Dwi Miharja Rani Yuliani Wulandari Salsa Fadhilah Sanudin Sanudin Wiyanto Wiyanto