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All Journal MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Jurnal EECCIS POSITIF ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Antivirus : Jurnal Ilmiah Teknik Informatika Jurnal Abdimas Mahakam Jurnal Teknik Informatika (JUTIF) Prima Abdika: Jurnal Pengabdian Masyarakat Journal of Community Service Jurnal ilmiah teknologi informasi Asia
Achmad Noercholis
Institut Teknologi Dan Bisnis ASIA Malang
Arts Humanities Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Other

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Sistem Pendukung Keputusan Penilaian Kinerja Guru PNS Di SMKN Sukorejo 1 Dengan Menggunakan Metode Fuzzy AHP Achmad Noercholis; Muhammad Luqman Hakim
Jurnal Ilmiah Teknologi Informasi Asia Vol 10 No 2 (2016): Volume 10 Nomor 2 (8)
Publisher : LP2M INSTITUT TEKNOLOGI DAN BISNIS ASIA MALANG

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Abstract

Saat ini penilaian kinerja guru merupakan sesuatu yang cukup penting dan dibutuhkan baik oleh sekolah, siswa, masyarakat maupun demi kepentingan guru sendiri. Penilaian kinerja guru salah satunya bisa digunakan untuk mempertimbangkan apakah guru tersebut pantas untuk mendapatkan kenaikan pangkat atau apakah guru tersebut layak untuk mendapatkan sertifikasi guru. Diharapkan dengan adanya penilaian kinerja, guru semakin termotifasi untuk meningkatkan kualitasnya.Yang pada akhirnya dengan meningkatnya kualitas guru, siswa yang berkualitas, unggul dan berprestasi akan semakin bermunculan. Pada penelitian ini, dibangun sebuah sistem pendukung untuk penilaian kinerja guru menggunakan beberapa kriteria dengan subkriteria pada masing-masing kriteria. Proses perhitungan menggunakan metode FuzzyAnalytycal Hierarchy Process (F-AHP) dengan beberapa tahap diantaranya penyusunan hierarki, perhitungan matrik perbandingan berpasangan, perhitungan jumlah baris, menghitung nilai sintesis fuzzy, penentuan nilai vektor, defuzzifikasi, dan nilai bobot. Dari hasil penelitian didapatkan bahwa kejujuran penilaian sangat penting untuk mendapatkan hasil penilaian kinerja yang tepat, selain itu hasil penilaian kinerja sangat dipengaruhi oleh pemberian bobot pada masing-masing kriteria. Pemberian bobot cukup berpengaruh karena masing-masing guru memiliki nilai yang baik untuk sebuah kriteria namun buruk untuk kriteria yang lain, sehingga dalam hal ini penggabungan logika fuzzy dengan logika AHP cukup efektif dalam menyelesaikan masalah.
PERFORMANCE COMPARISON OF FASTER R-CONVOLUTIONAL NEURAL NETWORK (CNN) AND EFFICIENTNET FOR TRAIN DETECTION UNDER DIVERSE LIGHTING AND IMAGE QUALITY CONDITIONS Riska, Suastika Yulia; Noercholis, Achmad
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 6 (2024): JUTIF Volume 5, Number 6, Desember 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.6.3438

Abstract

Object detection using computer vision has seen rapid advancements, especially with the advent of deep learning architectures such as Faster R-CNN and EfficientNet. This study compares the performance of the two models in detecting trains in various lighting conditions and noise disturbances. The dataset used consisted of 4500 train images which were divided into 70% for training, 20% for validation, and 10% for testing, reflecting real-world conditions. The evaluation was carried out using the Intersection over Union (IoU), Average Precision (AP), and Average Recall (AR) metrics. The results show that Faster R-CNN consistently excels in terms of detection accuracy, especially in less than ideal lighting conditions and under rain noise interference. In sufficient lighting conditions, Faster R-CNN showed a slightly superior AP score with a score of 0.844. As the lighting decreased, the difference between the two models became more pronounced, with Faster R-CNN recording an AP value of 0.810. In conditions with rain noise interference, the object detection performance of both models decreased more significantly, but the Faster R-CNN still excelled with an AP value of 0.798. Although EfficientNet is more efficient in terms of training speed, with a time of 5 hours and 37 minutes, and a smaller model size, Faster R-CNN shows higher reliability in complex environmental situations. This research provides important insights for the development of reliable and efficient train detection systems, taking into account the trade-off between resource efficiency and detection accuracy.
Perancangan dan Pembuatan Website Majelis Ulama Indonesia Kota Batu Malang Farokhah, Lia; Noercholis, Achmad; Ahda, Fadhli Almu’iini; Sulistyo, Danang Arbian; Rofiq, Muhammad
Prima Abdika: Jurnal Pengabdian Masyarakat Vol. 4 No. 1 (2024): Volume 4 Nomor 1 Tahun 2024
Publisher : Program Studi Pendidikan Guru Sekolah Dasar Universitas Flores Ende

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37478/abdika.v4i1.3746

Abstract

Community service is one of the activities required for lecturers at Institut Teknologi dan Bisnis ASIA Malang every semester. This activity is carried out in groups to distribute knowledge to the community. This activity is in partnership with the Batu City MUI in creating a digital website for distribution of information to the wider community. Problems arise when a partner's website is hacked or damaged by a hacker. The service team wanted to teach how to recover or mitigate after damage, but the technical team could not provide information regarding the website and suggested creating a new website. In the initial stage, this service will create a new website. The method of this service approach is to carry out discussions in group discussion forums (FGD). The results of the discussion were realized in the form of a website for the Batu City MUI. Evaluations were carried out regarding design and functionality requirements. The partners are satisfied but it must be developed further. In ongoing collaboration this website will continue to be developed. After that, training in mitigating data when exposed to hackers will be carried out in the next service.
Co-Authors Agus Rahman Alamsyah Akbar, Dzikrullah Asmoro, Zain Bagus Dwi Didik Suprayitno Fadhli Almu’iini Ahda Farokhah, Lia Fransiska Sisilia Mukti Ike Kusdyah Rachmawati M. Aziz Muslim Maftuch Maftuch Mohammad Zainuddin, Mohammad Muhammad Luqman Hakim Muhammad Rofiq Muhammad Rofiq Suastika Yulia Riska Sulistyo, Danang Arbian Titania Dwi Andini