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All Journal Jiko (Jurnal Informatika dan komputer) JUMANJI (Jurnal Masyarakat Informatika Unjani) Indonesian Journal of Business Intelligence (IJUBI) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) JEECS (Journal of Electrical Engineering and Computer Sciences) Fahma : Jurnal Informatika Komputer, Bisnis dan Manajemen Management of Information System Journal
Wahyu Widodo
Informatika, STMIK El Rahma
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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Implementasi Metode Design Thinking Pada Perancangan Antar Muka Aplikasi Mobile Widodo, Wahyu; Santoso, Miftakhul Huda Ari
JUMANJI (Jurnal Masyarakat Informatika Unjani) Vol 7 No 1 (2023): Jurnal Masyarakat Informatika Unjani
Publisher : Jurusan Informatika Universitas Jenderal Achmad Yani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26874/jumanji.v7i1.271

Abstract

Sistem Informasi Akademik (siakad) yang digunakan untuk pelayanan mahasiswa saat ini masih berbasis website, sedangkan mayoritas mahasiswa pengguna smartphone. Dalam rangka peningkatan mutu pelayanan mahasiswa, perlu adanya pengembangan siakad berbasis mobile dengan rancangan tampilan desain yang dapat memahami kebutuhan mahasiswa. Untuk merancang antar muka aplikasi siakad yang dapat memberikan pendekatan berbasis solusi dalam pemecahan suatu masalah kompleks yaitu dengan memahami kebutuhan mahasiswa, hingga melakukan pendekatan langsung dengan pembuatan prototipe dan pengujian, maka digunakan metode design thinking.Hasil pengujian desain antar muka siakad berbasis mobile ini menggunakan metode System Usabillity Scale (SUS) dengan skor rata-rata yang diperoleh sebesar 78,41. Hasil ini masuk kedalam kategori Acceptable, sehingga rancangan aplikasi ini baik untuk digunakan.
Decision Support System for Purchasing Speaker Monitor Home Recording Using Fuzzy Multiple Attribute Decision Making Wahyu Widodo; Adhitya Pratama
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 8 No. 1 (2023): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v8i1.2

Abstract

Technological developments in the field of music are currently experiencing progress, including the formation of computer-based recording, namely the Digital Audio Workstation (DAW). Monitor speakers are one of the most important components of a DAW. A good selection of monitor speakers can support the quality of sound produced by a home recording or recording service provider. The many variations and specifications of monitor speakers on the market make it difficult for users to choose based on four criteria: price, response frequency, design criteria, and power output. So it is necessary to make an application that can determine recommendations for purchasing monitor speakers by applying the Fuzzy Multiple Attribute Decision Making Algorithm. The results obtained in this study show that of the five alternative monitor speakers, KRK ROKIT G4 5 has the highest alternative preference rating of 2.2,5 so it can be used as a reference monitor speaker for home recording.
Implementation of Multi-Attribute Utility Theory Method for Selecting Social Assistance Recipients Wahyu Widodo; irsyad Panca Gunawan
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 8 No. 2 (2023): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v8i2.3

Abstract

Amil Zakat Infaq and Shadaqah Muhammadiyah Institution (LazisMu) Ayah is one of the national amil zakat institutions located in Ayah District, Kebumen Regency. Every month, LazisMu Ayah Service Office provides assistance to people in need in the form of house renovation programs, scholarships for high school or college level education, and business capital. The problem that is often encountered in determining potential aid recipients is that the large number of requests for aid is disproportionate to the number of officers processing the screening data. Apart from that, the selection process for aid recipients still uses manual methods, so it often causes problems such as the selection process for selecting aid candidates taking up to a week and miscalculations occurring, resulting in inaccurate results in the selection of potential aid recipients. Therefore, the method used as a solution model in providing decisions on the system for selecting potential aid recipients at LazisMu Ayah is a decision support system using the multi-attribute utility theory (MAUT) method. This method was chosen because it is able to select the best alternative from a number of alternatives, in this case, the intended alternative is people who are entitled to receive assistance based on 10 criteria. The results of the black box testing show that the system created is in accordance with the design and can be used as a tool. making decisions on determining aid recipients, so that LazisMu Ayah services can be improved because the selection process becomes faster, more accurate, and on target.
Decision Support System for Determination Exemplary Employees Using Simple Additive Weighting Method (Case Study: BKN Office Yogyakarta) Wahyu Widodo; Siswaya Siswaya; Sony Satya Nugraha
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 9 No. 1 (2024): June
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v9i1.4

Abstract

The selection of exemplary employees is an annual event divided into three categories: civil servants, non-civil servants, and outsourced employees. Selection is based on four criteria: performance quality, discipline percentage, moral behavior, and leadership quality. The Assessment Team's assessment process for exemplary employees is carried out by recapitulating the assessment data for each work unit and determining exemplary employees from the recapitulation results using a manual form for evaluating employee performance within BKN Yogyakarta. Manual assessment requires quite a long time and has the risk of errors during the calculation process, so researchers see the need for a decision support system for selecting exemplary employees using the Simple Additive Weighting (SAW) method. This system helps the personnel department quickly and accurately rank exemplary employees. The system calculation results use the SAW method with 6 alternative employees with each score: Sudi 1, Heru 0.9, Vivid 0.82, Anjas 0.82, Tri 0.75, and Suwar 0.5. Sudi received the highest score and was designated as a model employee for this period.
Analisis Sentimen Ulasan EA FC 26 Di Steam: Perbandingan SVM Dan Multinomial Naïve Bayes Rafi Adha Azhar; Wahyu Widodo
Management of Information System Journal Vol 4 No 3: Juli 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/mis.v4i3.2977

Abstract

User reviews on the Steam platform contain important information about player perceptions of EA FC 26. However, the large volume of reviews and their unstructured textual form make manual analysis difficult and prone to inconsistency. This study aims to identify user sentiment tendencies and compare the performance of Support Vector Machine (SVM) and Multinomial Naïve Bayes in classifying EA FC 26 reviews on Steam. The research follows the Knowledge Discovery in Database (KDD) stages, consisting of selection, preprocessing, transformation, data mining, and evaluation. A total of 5,000 recent English-language reviews were collected through the Steam Review API. After data processing, 4,988 valid reviews were obtained, consisting of 2,823 negative reviews and 2,165 positive reviews based on the voted_up recommendation status. The review texts were represented using TF-IDF N-Gram features consisting of unigrams and bigrams, then classified using SVM and Multinomial Naïve Bayes. The evaluation results show that SVM achieved an accuracy of 82.26% and a weighted F1-score of 0.8230, while Multinomial Naïve Bayes achieved an accuracy of 77.15% and a weighted F1-score of 0.7598. The McNemar test produced a p-value of 0.000421, indicating a statistically significant difference between the two models. This study contributes by providing a comparative evaluation based not only on general accuracy, but also on per-class performance, confusion matrix, prediction error patterns, and statistical significance.
SISTEM PENDUKUNG KEPUTUSAN DENGAN MENGGUNAKAN MENGGUNAKAN METODE MULTI ATRIBUTE UTILITY THEORY (MAUT) UNTUK PENENTUAN BANTUAN RUMAH TINGGAL SEHAT Wahyu Widodo; Idi Nastoto
Indonesian Journal of Business Intelligence (IJUBI) Vol 1 No 2 (2018): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v1i2.911

Abstract

Candi merupakan salah satu desa yang berada di Kabupaten Gunungkidul, Daerah Istimewa Yogyakarta. Desa Candi  memiliki 20 dusun. Di wilayah Desa Candi tesebar rumah – rumah penduduk  terdapat rumah tinggal sehat dan rumah tinggal tidak sehat. Dengan wilayah 20 Dusun Pemerintah Desa Candi kesulitan dalam menentukan rumah sehat tinggal dan rumah tidak sehat tinggal. Dari permasalahan di atas maka sistem pendukung keputusan  menjadi suatu kebutuhan untuk menyelesaikan permasalahan Pemerintah Desa Candirejo. Sistem pendukung keputusan dirancang dengan mengunakan metode Multi Attribute Utility Theory (MAUT). Untuk menentukan rumah tinggal sehat atau tidak sehat, terdapat 23 kriteria, dengan dua alternative. Dengan dibuatnya sistem pendukung keputusan menggunakan metode MAUT  Pemerintah Desa Candirejo bisa dengan mudah  menentukan  rumah sehat tinggal dan rumah tidak sehat tinggal.
Co-Authors Adhitya Pratama Ayuna Septia Dahlia Bagus Hermansyah Deddy Ardiansyah Dian Didik Purwanto Herdiesel Santoso Idi Nastoto irsyad Panca Gunawan Muhammad Alvian Rizky Qurratu Ayun Rafi Adha Azhar Rofiq Muhdan Siregar Santoso, Miftakhul Huda Ari Siswaya Sony Satya Nugraha Swastyani, Resa Wawan Cahyo Nugroho