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All Journal Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Tridharmadimas: Jurnal Pengabdian Kepada Masyarakat Jayakarta Journal of Engineering, Technology and Computing (JETCom) J-ENSITEC (Journal of Engineering and Sustainable Technology) Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK) Jurnal Ragam Pengabdian Jejak digital: Jurnal Ilmiah Multidisiplin Jurnal Komtika (Komputasi dan Informatika)
Sonny, Michael
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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 Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Transportation Other

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Fuzzy Inference System (FIS) dengan Metode Tsukamoto dan Mamdani dalam Menentukan Kelayakan Kenaikan Gaji Karyawan Akhirina, Tri Yani; Sonny, Michael
Jurnal Komtika (Komputasi dan Informatika) Vol 1 No 2 (2017)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v1i2.1796

Abstract

Each Company will evaluate the employees by their performance to determine the payroll increase. The payroll increase is a kind of reward from company to the employee’s performance in a year, and this is given once a year. In some respects, the awarding of payroll increase often meets problems, such as the un-objective appraisal and the inappropriate scale amount of increase for it emerges polemic between employees that will give an impact to their performance. To avoid such things, the company needs an appropriate and a flexible method to do the evaluation. The purpose of this research is to implement Fuzzy Inference System (FIS) in determining the employee’s payroll increase feasibility. Logical Fuzzy is a problem completion technique where the membership degree which is commonly represented by the score of 0 and 1, so that it is more balance. One of Fuzzy methods which can be used to solve the problem is Tsukamoto method and Mamdani. Fuzzy Inference System which implements a weighted average to calculate the feasibility of payroll increase is as the final result. The Inference Support System or SPK of the payroll increase feasibility with Tsukamoto method and Mamdani.
ARCHITECTURE AS WELL AS ISPS TO REVIEW THE INTER-CONNECTIVITY CROSSING IPV 6 INTERNET Sonny, Michael; Dhika, Harry
Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Vol. 1 No. 1 (2017): PROSIDING SEMNAS INOTEK Ke-I Tahun 2017
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/inotek.v1i1.420

Abstract

IPv6 merupakan Internet Protocol (IP) dalam beberapa tahun kedepan akan menggantikan posisi IPv4 dikarenakan ketersediaan kapasitas dari alamat IPv4 yang hampir habis seiring dengan banyaknya pengguna gadget serta teknologi berbasis IP lainnya. Dibandingkan dengan IPv4, IPv6 jauh lebih baik dari segi kapasitasnya yang sangat besar, sekuritas, dan dari segi mobilitasnya. Maka akan terjadi evolusi dari IPv4 ke IPv6 secara signifikan dengan kondisi awal IPv4 yang menjadi mayoritas dibandingkan dengan protokol IPv6, sedangkan dalam perkembangan berikutnya IPv6 yang akan menjadi lebih dominan untuk dipakai secara umum di dunia. Pemesanan IP saat ini dapat dilakukan oleh sebuah lembaga IANA (Internet Assigned Numbers Authority) yang ditentukan berdasarkan wilayah. Dalam pengimplementasian terhadap layanan ISP (Internet Service Provider) melalui jaringan yang berbeda versi IP dengan client dan server serta menggunakan mekanisme tunneling dan dual stack. Dalam evolusi inilah teknik konversi dari IPv4 ke IPv6 sangat dibutuhkan serta membutuhkan waktu yang tidak sedikit. Arsitektur ISP memungkinkan pengguna untuk menggunakan tunneling sangat diperlukan dan mekanisme terjemahan di bawah entitas keputusan yang mengidentifikasi kebutuhan paket. Kesimpulannya implementasi dengan menggunakan mekanisme 6in4 / 6to4 untuk melakukan tunneling dengan dukungan dari tunnel broker online dengan Hurricane Electronics dan mekanisme terjemahan NAT64 / DNS64. Hal ini merupakan Arsitektur ISP terbaru untuk antar koneksi di jaringan hybrid
Pemilihan Guru Terbaik di Era Digital Berdasarkan Kompetensi dengan Metode AHP (Analytic Hierarchy Process) pada SD Negeri Kebon Manggis 01 Suseno, Eko Denny; Sonny, Michael; Sulaiman, Han
Jejak digital: Jurnal Ilmiah Multidisiplin Vol. 2 No. 2 (2026): MARET 2026
Publisher : INDO PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/wpz8jx82

Abstract

This study discusses the development and implementation of a Decision Support System (DSS) for selecting the best teacher at SD Negeri Kebon Manggis 01 using the Analytic Hierarchy Process (AHP) method. The main problems identified include teacher performance evaluations that are still largely subjective, the absence of structured competency standards, and limited transparency in the process of determining the best teacher. These conditions may lead to inconsistent evaluation results and dissatisfaction among teachers.AHP was chosen because it is effective for solving multi-criteria decision-making problems by organizing criteria into a hierarchical structure and applying pairwise comparisons. In this study, the evaluation criteria consist of pedagogical competence, professional competence, personal competence, and social competence. Data were collected through observation, questionnaires, and documentation. The collected data were then processed to determine the priority weights of each criterion and to calculate the final scores for each teacher candidate.The results indicate that the implementation of AHP produces a more objective and consistent ranking of teachers. The developed DSS also improves the efficiency of data processing and provides recommendations that are fair, transparent, and accountable. Therefore, this system can serve as a strategic solution for schools to enhance teacher performance assessment and improve educational quality in the digital era.
Co-Authors Anugrahni, Asih Arif Setiawan Aruan, Meri Chrismes Asmoro, Eko Tri Azzazudien, Mohamad Devan Ainul Bambang Perkasa Alam Fazrie, Mohammad Harry Dhika, Harry Ismail Ismail Jepri, Jumadi KUSTIAN, NUNU Mutia, Intan Nadiah, Syifa Nasution, Sumiah Nur Ardhillah Zuhdi, Aisyah Pratama, Yota Saputra, Gunawan Heri Setiadi, Irawan Sulaiman, Han Suseno, Eko Denny Sutrisno, Danang Syuhardi, Yossi Indrawati Tri Yani Akhirina Trista, Riezca Talita Wibowo, Bagus Yustiraju Zainal Arifin