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All Journal Jurnal Mantik JUDIMAS (Jurnal Inovasi Pengabdian Kepada Masyarakat) INFOSYS (INFORMATION SYSTEM) JOURNAL Jurnal Abdimastek (Pengabdian Masyarakat Berbasis Teknologi)
Muhammad Sadikin
Universitas Potensi Utama
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Library & Information Science

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IoT Framework Current Trends and Recent Advances to Management Company in The PT.TNC Teddy Surya Gunawan; B Herawan Hayadi; Cindy Paramitha; Muhammad Sadikin
JUDIMAS Vol 1, No 2 (2020): JUDIMAS
Publisher : STMIK Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30700/jm.v1i2.1104

Abstract

The Internet of Things (IoT) is a fast growing and user-friendly technology that connects everything together. And it can communicate effectively between the people who connect "Things." Internet of Things, also known as Internet of Objects, usually refers to remote systems between projects. Systems will be remote and self-designable. However, the world's largest information technology companies tend to release products in the form of services to avoid disclosing detailed design and implementation knowledge. Hence, the overall trend of academic institutions is to use these mainstream IoT platforms as "black boxes". IoT is something that is useful as a sensor, computer architecture, software, security, packaging, technology selection based on the amount of data, as far as data is needed, whatever power you have. Fundamental way to collect and store data Thing: SQL, noSQL, and time series databases Machine learning algorithms with outputs: regression, classification, anomaly detection. Improve service quality, reduce service costs New models (precision services), Reduce consumption costs of higher quality products or services, Improve health and safety.
Implementation of Artifical Neural Networks with Multilayer Perceptron for Analysis of Acceptance of Permanent Lecturers Hartono Hartono; Muhammad Sadikin; Dian Maya Sari; Nur Anzelina; Silvia Lestari; Wulan Dari
Jurnal Mantik Vol. 4 No. 2 (2020): Augustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2020.954.pp1389-1396

Abstract

Lecturer acceptance selection is the first step in building an education. The Multilayer Perceptron method can be applied in the case of permanent lecturer admissions. The problem faced in the admission of permanent lecturers is that reception is still subjective. This research will prove the ability of the Multilayer Perceptron algorithm to classify eligibility as a lecturer or not. Inputs from this study were prospective applicants' data, namely age, grade point average (GPA), written test score, interview value, and home base status. Sample data amounted to 100 data. 75% of the data is used as training data, and 25% as test data. The test results of the accuracy of the data are known that the multilayer perceptron neural network method has an accuracy rate of 98.7% and with a ROC Area value of 0.989. This proves that the application of the model used belongs to the classification category very well because it has a ROC value between 0.90-1.00.
Perancangan Analisis Sistem Image Quality Improvement (IQI) Berbasis Fourier Muhammad Sadikin; Wiwi Verina; Rofiqoh Dewi
INFOSYS (INFORMATION SYSTEM) JOURNAL Vol 7, No 1 (2022): InfoSys Agustus 2022
Publisher : Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/infosys.7.1.2022.58-67

Abstract

Pengolahan  citra  merupakan  suatu  teknik  manipulasi  pada  objek  tertentu  yang  akan  digunakan  untuk  mengimplementasikan  peningkatan  kualitas  maupun  penurunan  kualitas  pada  citra,  merender  dan  mengubah  bentuk  dari  beberapa  titik  citra  tertentu  pada  gambar  dengan  tujuan  untuk    menciptakan  suatu  objek  yang  baru  dari  titik-titik  perubahan  pada  citra  tersebut  seperti  ketika  suatu  citra  didapati  dengan  kontras  rendah  karena  terjadinya  penangkapan  citra  dengan  pencahayaan  atau  proses  pencahayaan    yang  kurang  baik  dan  atau  karena  terjadinya  inkonsistensi  selama  proses  akuisisi  gambar.  Sebuah  gambar  digital  merupakan    array  dua  dimensi  yang  memiliki  bagian  gambar  dengan  tingkat  warna  keabuan.  Fourier  adalah  salah  satu  dari  beberapa  metode  transformasi  yang  sangat  banyak  digunakan  oleh  para  user  dalam  merancang  suatu  aplikasi  untuk  memperbaiki  kualitas  citra  digital  tersebut.  Metode  Fourier  akan  mengolah  terlebih  dahulu  informasi  yang  akan  ditransformasikan  sebelum  melakukan  manipulasi  terhadap  hasil  citra  yang  akan  di  transformasi  fourier  tersebut.  Transformasi  tersebut  akan  diproses  melalui  pengubah  f(x)  ke  bentuk  eksponen.  Untuk  itu  jika  suatu  citra  terlihat  tidak  sesuai  dengan  keinginan  dan  harapan  pengguna  maka  dilakukan  transformasi  citra  dengan  metode  fourier  dan  tujuan  dari  perbaikan  kualitas  citra  digitial  pada  penelitian  ini  yaitu  agar  memperoleh  hasil  dari  citra  yang  diinginkan  dan  harapan  pengguna.
Perbandingan Konvensional Method dengan Fast Fourire Transform Method pada efesiensi Citra Digital OK Muhammad Ihsan; Wiwi Verina; Rofiqoh Dewi; Dahriani Hakim Tanjung; Muhammad Sadikin
INFOSYS (INFORMATION SYSTEM) JOURNAL Vol 7, No 2 (2023): InfoSys Februari 2023
Publisher : Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/infosys.7.2.2023.142-154

Abstract

Peningkatan citra adalah proses penajaman fitur tertentu dari suatu citra (seperti tepi, wilayah, atau kontras) sehingga citra tersebut dapat dilihat dengan lebih baik dan dianalisis dengan lebih detail. Penyempurnaan gambar tidak meningkatkan konten informasi gambar, melainkan memperluas jangkauan dinamis fitur dan membuatnya lebih mudah dan lebih akurat untuk dikenali atau diamati. Tantangan terbesar dalam peningkatan citra adalah mengidentifikasi dan menentukan kriteria atau fitur yang perlu ditingkatkan. Ini karena kriteria atau karakteristik ini bergantung pada aplikasi dan sering dikembangkan secara heuristik. Pembagian ini didasarkan pada wilayah dimana proses perbaikan dilakukan, dan seringkali proses perbaikan di kedua wilayah tersebut sama. Jika demikian, pilihan pemrosesan dalam domain Fourier memanfaatkan ketersediaan algoritma FFT (Fast Fourier Transform) yang cepat. Untuk mengetahui hasil perbandingan transformasi citra menggunakan metode Fast Fourier Transform dengan metode tradisional, membuat software perbandingan Fourier sebagai bahan pembanding proses transformasi citra.
Decision Support System Application Evaluation of Transformer Isolation Condition with Simple Additive Weighting (SAW) Method Rika Rosnelly; Teddy Gunawan; Cindy Paramitha; Muhammad Sadikin
Jurnal Pengabdian Masyarakat Berbasis Teknologi Vol 1, No 1 (2020): APRIL 2020
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The use of computer technology has spread among workers and companies. Therefore researchers recommend a system that can overcome the problem of assessing the conditions of transformer insulation at PT. Electricity System Cemerlang uses a computer system. The system that researchers use is a decision support system. Decision Support System or often called Decision Support System (DSS) is a model-based system that consists of procedures in data processing and consideration to assist managers in making decisions. In order to succeed in achieving its objectives, the system must be simple, robust, easy to control, easily adaptable to important things and easy to communicate with. Implicitly also means that this system must be computer-based and used as an addition to someone's problem solving capabilities. But to be able to use a decision support system properly, a method or an appropriate method is needed to get the right results. Therefore researchers recommend the method of Simple Additive Weighting (SAW). Simple Additive Weighting (SAW) method is often also known as the weighted sum method. The basic concept of the method of Simple Additive Weighting (SAW) is to find a weighted sum of performance ratings on each alternative on all attributes.
Co-Authors B. Herawan Hayadi Cindy Paramitha Dahriani Hakim Tanjung Dian Maya Sari Hartono Hartono Nur Anzelina OK Muhammad Ihsan Rika Rosnelly Rofiqoh Dewi Silvia Lestari Teddy Gunawan Teddy Surya Gunawan Wiwi Verina Wulan Dari