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All Journal Edu Komputika Journal Sistemasi: Jurnal Sistem Informasi Jurnal Eksplora Informatika Respati Jurnal Abdi Insani Community Development Journal: Jurnal Pengabdian Masyarakat Information System Journal (INFOS) Journal of Intelligent Software Systems Indo-Fintech Intellectuals: Journal of Economics and Business Journal of Future Artificial Intelligence and Technologies
Akhmad Dahlan
Universitas Amikom Yogyakarta
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences

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TEMPERATURE SENSOR DATA QUALITY ASSESSMENT IN MANUFACTURING ENVIRONMENT USING HAMPEL FILTER AND QSD P.D.P., Bambang; Andriyani, Widyastuti; Dahlan, Akhmad
Journal of Intelligent Software Systems Vol 4, No 1 (2025): Juli 2025
Publisher : LPPM UTDI (d.h STMIK AKAKOM) Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26798/jiss.v4i1.2003

Abstract

In the Industry 4.0 era, integrated temperature sensors in system production become source main data for taking decisions. However, the quality of the data produced often influenced by noise, missing values, and disturbing anomalies accuracy of analytical processes. Research This proposes a monitoring pipeline designed data quality For environment manufacturing based on the Internet of Things (IoT), with focus on usage Hampel Filter and Quality Score Delta (QSD) methods. Hampel Filter is used for detecting and handling outliers in temperature data in a way adaptive, while QSD is used for measure dynamics change data quality from time to time. Architecture system built with using Apache Kafka for data ingestion, InfluxDB For time-series storage, and Grafana for real-time visualization. Case study performed on temperature sensor data from the conveyor motor, and the results show that method. This capable detect degradation data quality in general proactive. Findings show potential big in increase reliability industrial monitoring system as well as support maintenance predictive data- based. Research This give contribution significant in developing modular and adaptive approach for management data quality in the manufacturing sector.
Sistem Pendukung Keputusan Penilaian Kinerja Guru Di SMK Muhammadiyah Imogiri Menggunakan Metode Profile Matching Rospita, Andri; Pristyanto, Yoga; Dahlan, Akhmad
Eksplora Informatika Vol 12 No 1 (2022): Jurnal Eksplora Informatika
Publisher : Institut Teknologi dan Bisnis STIKOM Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30864/eksplora.v12i1.613

Abstract

Guru mempunyai andil yang besar terhadap keberhasilan pembelajaran di sekolah, sehingga penting untuk dilakukan penilaian kinerja guru untuk mengetahui sejauh mana kemampuan guru dalam menjalankan tugasnya. Saat ini penilaian kinerja guru di SMK Muhammadiyah Imogiri masih dilakukan secara manual sehingga sering terjadi kesalahan dalam melakukan perhitungan nilai dan memerlukan waktu yang lama untuk mengelola data tersebut. Berdasarkan permasalahan yang ada maka dirancanglah sistem pendukung keputusan dengan menerapkan metode profile matching. Dengan adanya sistem ini penilaian kinerja guru dapat lebih efektif dan efisien. Proses pada metode profile matching adalah dengan membandingkan antar kompetensi individu ke dalam potensi suatu jabatan sehingga dapat diketahui perbedaan kompetensinya (GAP). Metode tersebut memiliki tingkat objektifitas yang lebih baik dibanding metode lain dan mempertimbangkan konsistensi yang logis dalam penilaian. Hasil pengujian didapatkan akurasi sistem 93,33% terhadap 30 data yang diuji, hal ini menunjukkan bahwa penerapan metode profile pada sistem mempunyai tingkat akurasi yang baik dan dapat mengatasi permasalahan yang ada.
Implementation Of MAUT Method for Making Website-based Tourism Recommendations in Yogyakarta based on Maps Location Nuraminudin, M.; Dewi, Melany Mustika; Dahlan, Akhmad
Sistemasi: Jurnal Sistem Informasi Vol 13, No 6 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i6.4653

Abstract

The significance of the tourism sector in contributing to the economy of the Special Region of Yogyakarta, which is a major destination with millions of tourists every year. The rapid growth of tourism demands the integration of information technology, especially in the development of recommendation systems, to improve visitor experience and satisfaction and support sustainable destination management. The main problem faced is the need to develop a recommendation system that is able to provide optimal suggestions for tourist locations and accommodations, considering various attributes such as price, facilities, location, and user personal preferences. The problem-solving approach taken in this study is the application of the Multi-Attribute Utility Theory (MAUT) Method. The research steps involve identifying problems, needs, and key attributes, collecting tourist location and accommodation data through Google Maps and Google Business Data. Furthermore, the raw data is subjected to processing and pre-processing before the MAUT model is developed. This model is implemented into a web-based application which is then tested using blackbox testing to determine whether the system is running properly. With the hope of creating a smart and sustainable tourism ecosystem, this study is innovative in using MAUT to improve the quality of recommendations in the Yogyakarta tourism industry.
PELATIHAN PENYUSUNAN BUKU BER-ISBN: KUNCI SUKSES KARIER DOSEN Purba, Ulfani Ikhwana; Nofirman, Nofirman; Dahlan, Akhmad; Witjaksana, Budi; Lendra, Lendra; Amalia, Mekar Meilisa
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 3 (2024): Volume 5 No. 3 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i3.28594

Abstract

Pelatihan Penyusunan Buku ber-ISBN: Kunci Sukses Karier Dosen dilaksanakan untuk mengatasi kesulitan yang dihadapi dosen dalam menyusun dan menerbitkan buku ber-ISBN, yang penting untuk peningkatan karier akademik dan kontribusi ilmiah. Kegiatan ini diikuti oleh 28 peserta dari berbagai kalangan dan dilaksanakan melalui aplikasi Zoom pada 19 Februari 2024. Metode pelatihan meliputi sesi pembukaan, materi inti, praktik, dan diskusi interaktif. Hasilnya menunjukkan peningkatan pemahaman dan keterampilan peserta dalam menyusun naskah buku, serta kesadaran akan standar penulisan dan prosedur penerbitan. Evaluasi pasca-pelatihan menunjukkan peningkatan signifikan dalam pengetahuan peserta dan kepercayaan diri untuk menerbitkan buku ber-ISBN. Pelatihan ini juga memperkuat jaringan antara dosen, membuka peluang kolaborasi, dan memberikan wawasan tentang tren penerbitan digital. Kesimpulannya, pelatihan ini efektif dalam membekali dosen dengan keterampilan praktis dan pengetahuan mendalam, yang penting untuk pengembangan karier dan kontribusi terhadap pendidikan tinggi di Indonesia.
Co-Authors Achmad Nuruddin Safriandono Ahmad Muktamar B Amalia, Mekar Meilisa Ambarwati, Dwi Arini Ayu Amri Amri Amri Andriyani, Widyastuti Anggono, Eko Tri Arief Zikry Budi Witjaksana, Budi De Rosal Ignatius Moses Setiadi Ema Utami Emha Taufiq Luthfi Farah Zakiyah Rahmanti Iwan Setiawan Wibisono Lendra Lendra LILIS DWI FARIDA Lukman Lukman M. Nuraminudin M. NURAMINUDIN Muhammad Bitrayoga Nina Dwi Putriani Nina Dwi Putriani Nofirman, Nofirman Ojugo, Arnold Adimabua P.D.P., Bambang Purba, Ulfani Ikhwana Renaldi Renaldi Reni Reni Reni, Reni Rospita, Andri Siska Yulia Defitri Siska Yulia Defitri Susilo Suharsono Yoga Pristyanto Yuliana, Muhammad Rafi Nur