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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Pilar Nusa Mandiri Krea-TIF: Jurnal Teknik Informatika Building of Informatics, Technology and Science JURNAL TEKNIK JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) JIKA (Jurnal Informatika) Tematik : Jurnal Teknologi Informasi Komunikasi Insearch: Information System Research Journal J-Intech (Journal of Information and Technology)
Alamsyah, Dedy
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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Classification of Broadleaf Weeds Using a Combination of K-Nearest Neighbor (KNN) and Principal Component Analysis (PCA) Aristo Jansen Sinlae, Alfry; Alamsyah, Dedy; Suhery, Lilik; Fatmayati, Fryda
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 1 (2021): Article Research Volume 6 Issue 1: January 2021
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i1.11237

Abstract

Palm oil is one of the leading commodities in Indonesia. Oil palm yields can be influenced by several factors, one of which is proper weed control. Uncontrolled weeds can damage oil palm plantations. To be able to manage and control weeds, especially large leaf weeds, it is necessary to know the types of weeds. However, not all farmers have knowledge about the types of weeds. For that we need a system that can help identify broadleaf weeds based on leaf images using image processing. So this study aims to build a large leaf weed classification system using a combination of the K-Nearest Neighbor (KNN) and Principal Component Analysis (PCA) algorithms. PCA is used as feature extraction based on the characteristics formed from each spatial property. PCA can be used to reduce and retain most of the relevant information from the original features according to the optimal criteria. The results of the information will then be used by KNN for learning by paying attention to the closest distance from the object. Based on the test results, the developed model is able to produce an accuracy of 90%. Principal Component Analysis (PCA) and K-Nearest Neighbor (KNN) algorithms can be used in the classification process properly. Accuracy results are strongly influenced by the amount of training data and test data as well as the quality of the image used.
Sistem Pengendalian Persediaan Menggunakan Metode Moving Average dan Pengembangan Sistem Extreme Programming Alamsyah, Dedy; Damuri , Amat; Nuraini, Rini; Septarini, Ri Sabti; Yudaningsih, Nunik
TEMATIK Vol 9 No 1 (2022): Tematik : Jurnal Teknologi Informasi Komunikasi (e-Journal) - Juni 2022
Publisher : LPPM POLITEKNIK LP3I BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38204/tematik.v9i1.898

Abstract

Inventory of goods is one of several important factors in a company, whether engaged in trading or manufacturing. It is important for inventory to be controlled and supervised in the recording and calculation of inventory, this is because inventory can affect financial reporting. If the amount of inventory is too large (overstock), on the other hand, if the inventory is a little, it will have an impact on the lack of inventory (stockout). The purpose of this research is to develop an inventory control system using the moving average method and the development of an Extreme Programming (XP) system. The moving average method in inventory prediction is more effective because this method compares current and previous data. To develop the system, the Extreme Programming (XP) system development method is used. This method has advantages including: fast process, time and cost efficiency, low risk, flexibility and easy to implement. From the test results using black box testing by testing the functionality, the system shows the system has met expectations with a value reaching 100%. Meanwhile, for testing with the DeLone and McLean models which measure the success of information systems, the score reaches 81.37%.
Implementasi Metode Linear Discriminant Analysis (LDA) Pada Klasifikasi Tingkat Kematangan Buah Nanas Destriana, Rachmat; Nurnaningsih, Desi; Alamsyah, Dedy; Sinlae, Alfry Aristo Jansen
Building of Informatics, Technology and Science (BITS) Vol 3 No 1 (2021): June 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (588.903 KB) | DOI: 10.47065/bits.v3i1.1007

Abstract

Pineapple is a fruit commodity that is Indonesia's flagship. This is because pineapple is a fruit that has the highest export volume in Indonesia. To obtain pineapples with perfect ripeness, generally manually selected, this becomes inefficient if large numbers of pineapples are selected. So, in this study, an image processing system will be developed that can classify pineapple ripeness based on its image. In this study, the color feature extraction used is feature extraction based on hue and saturation values. Color feature extraction with hue and saturation is used to obtain various information from the colors in the image so as to facilitate the identification process. Furthermore, Linear Discriminator Analysis will obtain optimal projections to be able to enter spaces with smaller dimensions by performing pattern recognition that can be separated so that they can be grouped based on boundary lines obtained from linear equations. Based on the results of the accuracy test, the accuracy rate reaches 83%, it is in the good category
Penerapan Metode Pengembangan Sistem Extreme Programing (XP) Pada Aplikasi Presensi Karyawan dengan QR Code Fazrin, Qubaila Ega; Lisnawati, Tuti; Nurhayati, Sri; Satya, Juli Budi; Alamsyah, Dedy
Building of Informatics, Technology and Science (BITS) Vol 3 No 3 (2021): December 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (510.658 KB) | DOI: 10.47065/bits.v3i3.1018

Abstract

Attendance is the process of recording and managing attendance data that is carried out daily during working hours at each company. Errors in recording employee attendance greatly affect employee earnings. So, the validity of the recording is needed. The attendance recording system manually is error-prone and its recapitulation takes a long time. To overcome this, it is necessary to develop an attendance system that can be done quickly and produce valid reports regarding the time of entry and exit. In this study, a presence application will be developed using QR Code scanning by applying the Extreme Programming (XP) method. The extreme programming (XP) method offers stages in a relatively short time. Based on black box testing, the generated QR Code presence application is in accordance with user needs with a functionality test value of 100%
Identifikasi Citra Tanaman Obat Jenis Rimpang dengan Euclidean Distance Berdasarkan Ciri Bentuk dan Tekstur Nurnaningsih, Desi; Alamsyah, Dedy; Herdiansah, Arief; Sinlae, Alfry Aristo Jansen
Building of Informatics, Technology and Science (BITS) Vol 3 No 3 (2021): December 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (427.459 KB) | DOI: 10.47065/bits.v3i3.1019

Abstract

In the midst of the Covid-19 pandemic, increasing the body's immunity is very important. Some experts suggest consuming medicinal plants or herbs to boost immunity. In addition to being used as a cooking spice, this rhizome type plant turns out to have properties and benefits for health, especially to increase immunity. However, many people do not know and it is difficult to distinguish the type of rhizome plant. This type of rhizome plant can be identified based on the characteristics seen from the shape and texture. However, most people judge the type of rhizome has a shape that is difficult to distinguish. This study aims to determine the type of medicinal plant rhizome with Euclidean distance and extraction of shape and texture. Extraction of shape features using metric and eccentricity parameters. This parameter is considered to be able to recognize shape objects and can distinguish them from other objects. Meanwhile, texture feature extraction uses Gray Level Co-occurence Matrix (GLCM) with contrast, correlation, energy, and homogeneity parameters. For the identification process, Euclidean distance is used which serves to represent the level of two images that consider the distance value from Euclidean. From the results of the evaluation using a confusion matrix by calculating precision, recall and accuracy, it gets a precision value of 83%, recal 87% and an accuracy of 85%. These results indicate that the Euclidean distance and extraction of shape and texture features can identify the object image of medicinal plants with rhizome types well
PENERAPAN DEPRESIASI GARIS LURUS PADA SISTEM MANAJEMEN ASET PADA PT.GRIYA FORTUNA INTERNASIONAL Alamsyah, Dedy; Daniarti, Yeni; Wijayanti, Rima Rizqi; Husein, Syepry Maulana; Kencana, Nadila Pilar
Jurnal Informatika Vol 8, No 1 (2024): JIKA (Jurnal Informatika)
Publisher : University of Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jika.v8i1.9669

Abstract

PT. Griya fortuna Internasional adalah sebuah perusahaan yang bergerak di bidang konsultan, furnitur juga arsitektur. Pengelolaan manajemen aset inventaris masih menggunakan semi komputerisasi , hal ini menyebabkan masih banyaknya data barang yang tidak terinventaris. Untuk mengecek kesalahan pencatatan dan perhitungan data membutuhkan tenaga dan waktu yang lebih,  sehingga intensitas human error yang lebih sering terjadi dalam hal pembuatan laporan. Oleh karena itu dibutuhkannya system inventaris berbasis website. Tujuan dari penelitian ini adalah membangun sebuah sistem informasi manajemen aset yang dapat diakses melalui web yang akan mempercepat dan mempermudah proses pencatatan barang yang masuk dan data barang yang rusak atau hilang. Metodologi prototipe akan digunakan dalam proses pengembangan sistemnya; bahasa pemrograman PHP dan freamwork Laravel akan digunakan, dan database MySQL akan digunakan. Sistem informasi yang dibuat nantinya dapat diakses secara online.  Metode analisis SIPOC dan teknik perancangan sistem prototype digunakan dalam penelitian ini. Sebuah sistem informasi inventaris aset yang dapat diakses melalui internet adalah hasil dari penelitian ini. PT. Griya Fortuna Internasional menguji sistemnya dengan black box testing. Hasilnya menunjukkan bahwa sistem tersebut sangat baik dan dapat mengolah data dan menyampaikan informasi dalam bentuk laporan.
DEVELOPMENT OF AN ELECTRONIC PUBLIC COMPLAINTS SYSTEM TO IMPROVE PUBLIC SERVICES Sinlae, Alfry Aristo J; Daniarti, Yeni; Alamsyah, Dedy; Damuri, Amat
Jurnal Pilar Nusa Mandiri Vol 18 No 1 (2022): 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.v18i1.2969

Abstract

Public complaints are essential for the government to see how successful it is in carrying out activities. Public complaints are an essential element for local agencies because complaints are aimed at correcting the shortcomings of the activities that have been carried out. The absence of an electronic complaint system will hamper the complaint reporting process, so repairing deficiencies in government agencies will be hampered. The delay in repairing deficiencies in the agency will, of course, also affect the services provided to the community. The government can certainly use technology development to improve public services from the government to the community. This study discusses the development of an online-based public complaint system with the website-based Extreme Programming (XP) method that the public can access so that complaint reports can be submitted in real-time. The results of testing the complaint system from the usability side show an average value of 88.7% in the excellent category, so the application is feasible to use and as needed.
Analisis Kinerja Web Server Menggunakan Load Balancing dengan Metode Source Hash Scheduling dan URI Reno Saputra Elsi, Zulhipni; Alamsyah, Dedy; Jusmawati, Jusmawati; Nurhayati, Nurhayati
Krea-TIF: Jurnal Teknik Informatika Vol 12 No 1 (2024): Krea-TIF 2024
Publisher : Fakultas Teknik dan Sains, Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/krea-tif.v12i1.15964

Abstract

Dengan pesatnya pertumbuhan internet saat ini, terjadi peningkatan signifikan dalam akses pengguna yang terkoneksi. Fenomena ini berdampak langsung pada kebutuhan mesin penyedia layanan, terutama pada server web. Penelitian ini bertujuan untuk menganalisis kinerja web server melalui implementasi strategi load balancing menggunakan dua algoritma berbeda yakni Source Hash Scheduling dan URI (Uniform Resource Identifier). Load balancing diuji untuk menentukan efektivitasnya dalam mengoptimalkan response time. Data yang dikumpulkan dari pengujian menunjukkan hasil rata-rata response time dalam milidetik untuk berbagai tingkat koneksi, mulai dari 100/100 hingga 5000/500. Hasil pengujian menunjukkan bahwa pada tingkat koneksi 1000/100, algoritma Source Hash Scheduling memiliki response time rata-rata sebesar 2.96 ms, sedangkan algoritma URI menunjukkan response time rata-rata sebesar 3.1 ms. Seiring dengan peningkatan jumlah koneksi, keduanya menunjukkan variasi performa dengan algoritma Source Hash Scheduling cenderung memberikan response time yang lebih rendah pada koneksi yang lebih tinggi, sementara algoritma URI menunjukkan kenaikan response time yang lebih stabil. Analisis ini memberikan wawasan penting mengenai seleksi algoritma load balancing untuk optimalisasi response time, yang krusial dalam meningkatkan kepuasan pengguna web server.
Penerapan Pendekatan Composite Performance Index Pada Sistem Pendukung Keputusan Pemilihan Supplier Fatmayati, Fryda; Alamsyah, Dedy; Riyanto, Umbar; Dartono, Dartono
Insearch: Information System Research Journal Vol 4, No 02 (2024): Insearch (Information System Research) Journal
Publisher : Fakultas Sains dan Teknologi UIN Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/isrj.v4i02.9484

Abstract

Pemilihan supplier yang tepat menjadi faktor kunci dalam keberhasilan operasional perusahaan. Supplier yang berkualitas berperan penting dalam menjaga kontinuitas produksi dan kualitas produk akhir. Namun, pemilihan supplier secara manual seringkali menghadapi kendala, seperti proses yang memakan waktu, kesulitan dalam mengintegrasikan berbagai kriteria penilaian, serta potensi kesalahan atau bias dalam penilaian subjektif. Tujuannya penelitian ini dilakukan yakni guna mengembangkan Sistem Pendukung Keputusan (SPK) berbasis pendekatan Composite Performance Index (CPI) yang dapat membantu manajemen dalam mengevaluasi dan memilih supplier dengan lebih tepat. Metode CPI memiliki kelebihan dalam mengintegrasikan berbagai aspek kinerja menjadi satu indeks komposit yang mudah dipahami dan digunakan untuk perbandingan. Studi kasus pemilihan supplier menunjukkan bahwa PT Dikatama Putra Perkasa (A2) memperoleh skor indeks gabungan tertinggi sebesar 116,67. Hasil perhitungan dari SPK yang dikembangkan konsisten dengan hasil hitung secara manual, memperlihatkan perolehan yang sama dan valid. Uji dengan black box testing juga mengonfirmasi bahwa sistem beroperasi sesuai dengan yang diharapkan pada seluruh fitur utama yang diuji.
PENERAPAN SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN CALON PASANGAN IDEAL METODE SAW DAN WP Alamsyah, Dedy; Putriana, Epi; Handayani, Nurdiana; Rusdianto, Hengki
Jurnal Informatika Vol 9, No 1 (2025): JIKA (Jurnal Informatika)
Publisher : University of Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jika.v9i1.11340

Abstract

Selama bertahun-tahun, kemajuan dalam bidang teknologi informasi (TI) membawa perubahan dan keuntungan yang signifikan. Selain itu, kemajuan ini juga membantu dalam pengambilan keputusan. Proses yang sangat penting dalam kehidupan manusia adalah memilih pasangan hidup. Untuk melakukannya dengan benar, diperlukan banyak persiapan dan pertimbangan. Dalam fase kehidupan, ada tantangan dan masalah unik karena banyaknya kriteria yang digunakan untuk memilih pasangan. Sistem Pendukung Keputusan (SPK) adalah bagian dari sistem informasi berbasis komputer (termasuk yang berbasis pengetahuan) yang digunakan untuk membantu organisasi atau perusahaan membuat keputusan. SPK dapat memberikan rekomendasi pilihan yang objektif dan dapat digunakan sebagai alat bantu saat memilih pasangan hidup. SPK yang diterapkan pada penilitan ini menggunakan metode Simple Additive Weighting (SAW) dan Weighted Product (WP). Penggabungan metode SAW dan WP dalam penelitian ini diharapkan mampu memberikan akurasi hasil perhitungan sebesar 99%.
Co-Authors Agung Wibowo Alfry Aristo Jansen Sinlae Damayanti, Nova Indah Damuri , Amat Damuri, Amat Daniarti, Yeni Dartono, Dartono Destriana, Rachmat Fazrin, Qubaila Ega Fryda Fatmayati Handayani, Nurdiana Herdiansah, Arief Husain, Syepry Maulana Jusmawati Jusmawati, Jusmawati Kencana, Nadila Pilar Lilik Suhery, Lilik Lisnawati, Tuti Mayatopani, Hendra Muhammad Bagir Nurhayati Nurhayati nurnaningsih, Desi Putriana, Epi Reno Saputra Elsi, Zulhipni Rini Nuraini, Rini Riyanto, Umbar Rusdianto, Hengki Satya, Juli Budi Septarini, Ri Sabti Sri Nurhayati Wijaya, Hamid Wijayanti, Rima Rizqi Yudaningsih, Nunik