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All Journal Jurnal Ilmu Komputer dan Informasi Jurnal Masyarakat Informatika Jurnal Edukasi dan Penelitian Informatika (JEPIN) International Journal of Advances in Intelligent Informatics E-Dimas: Jurnal Pengabdian kepada Masyarakat Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) ILKOM Jurnal Ilmiah Jurnal Aisyah : Jurnal Ilmu Kesehatan Jurnal Nasional Teknik Elektro dan Teknologi Informasi Journal of Biomedical Science and Bioengineering Jurnal Informatika
Adi Wibowo
Departement Of Computer Science, Informatics, Universitas Diponegoro
Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Health Professions Library & Information Science Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary

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Fragile watermarking for image authentication using dyadic walsh ordering Prajanto Wahyu Adi; Adi Wibowo; Guruh Aryotejo; Ferda Ernawan
International Journal of Advances in Intelligent Informatics Vol 9, No 3 (2023): November 2023
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v9i3.1017

Abstract

A digital image is subjected to the most manipulation. This is driven by the easy manipulating process through image editing software which is growing rapidly. These problems can be solved through the watermarking model as an active authentication system for the image. One of the most popular methods is Singular Value Decomposition (SVD) which has good imperceptibility and detection capabilities. Nevertheless, SVD has high complexity and can only utilize one singular matrix S, and ignore two orthogonal matrices. This paper proposes the use of the Walsh matrix with dyadic ordering to generate a new S matrix without the orthogonal matrices. The experimental results showed that the proposed method was able to reduce computational time by 22% and 13% compared to the SVD-based method and similar methods based on the Hadamard matrix respectively. This research can be used as a reference to speed up the computing time of the watermarking methods without compromising the level of imperceptibility and authentication.
Combination of Matrix Simple Additive Weighting Algorithm (SAW) on the Reference URICA-Scale to Measure Readiness for Change in Narcotic Rehabilitation Patients Soni Adiyono; Rahmat Gernowo; Adi Wibowo
Jurnal Aisyah : Jurnal Ilmu Kesehatan Vol 7, No S1 (2022): Suplement 1
Publisher : Universitas Aisyah Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (775.939 KB) | DOI: 10.30604/jika.v7iS1.1118

Abstract

This study aims to design a matrix combination in the URICA-Scale calculation and the simple additive weighting (SAW) method that can be used as a measuring tool to evaluate the readiness of drug rehabilitation patients using the University of Rhode Change Assessment Scale (URICA-Scale) as a desire combined with simple additive weighting (SAW) method in order to facilitate the design of electronic information systems regarding assessment tests with reference to URICA-Scale. In software development, the design modeling step in the system is one part of the (System Development Life Cycle) contained in the Waterfall model. The results of this study are able to provide an arrangement of calculation matrices where the combination of these matrices contributes to programmers in implementing them into certain programming languages. Abstrak: Penelitian ini bertujuan untuk merancang desain kombinasi matriks pada perhitungan URICA-Scale dan metode simple additive weighting (SAW) yang dapat digunakan sebagai alat ukur guna mengevauasi tentang kesiapan pasien rehabilitasi narkotika dengan menggunakan University of Rhode Change Assesment Scale (URICA-Scale) sebagai acuan yang dikombinasikan dengan metode simple additive weighting (SAW) agar dapat mempermudah dalam merancang sistem informasi elektronik mengenai tes asesmen dengan acuan URICA-Scale. Dalam pengembangan perangkat lunak langkah pemodelan desain pada sistem merupakan salah satu bagian dari (System Development Life Cycle) yang terdapat pada model Waterfall. Hasil penelitian ini mampu memberikan susunan matrix perhitungan dimana dengan adanya gabungan dari matriks tersebut memberikan kontribusi bagi programmer dalam melakukan implementasi kedalam Bahasa pemrograman tertentu.
Analisis Pengaruh Pemilihan Jumlah Variabel Linguistik Membership Function pada Metode Fuzzy Simple Additive Weighting (FSAW) untuk Perankingan Penerimaan Beasiswa Bagi Siswa Kurang Mampu (Studi Kasus : Sekolah Dasar Negeri Petompon 02 Semarang) Alfania Sarah Handayani; Adi Wibowo
Jurnal Masyarakat Informatika Vol 12, No 1 (2021): JURNAL MASYARAKAT INFORMATIKA
Publisher : Department of Informatics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jmasif.12.1.41019

Abstract

SDN Petompon 02 Semarang merupakan salah satu Sekolah Dasar Negeri yang memiliki program beasiswa "Bumbung  Kemanusiaan"  yang ditujukan bagi siswa yang kurang  mampu. Oleh karena itu diperlukan perankingan siswa untuk memilih calon penerima beasiswa. Pengumpulan data untuk penelitian  ini  didapatkan melalui  wawancara  dengan  Kepala  Sekolah  SDN  Petompon  02  Semarang  untuk  mendapatkan  kriteria penerimaan beasiswa. Terdapat 5 kriteria untuk penerimaan beasiswa yaitu kepemilikan kartu miskin, rata-rata raport semester terakhir, kepemilikan piagam, penghasilan orang tua, dan tanggungan orang tua. Permasalahan ini merupakan permasalahan dunia nyata, sehingga data yang dikumpulkan biasanya melibatkan beberapa jenis ketidakpastian. Salah satu solusi dalam pengambilan keputusannya adalah memodelkan dengan fuzzy. Di dalam Metode Fuzzy Simple Additive Weighting terdapat pemilihan variabel linguistik membership function, dimana skala tersebut sangat berpengaruh  bagi perhitungan pada  metode.  Penelitian  ini bertujuan untuk  menganalisis pemilihan  jumlah variabel linguistik  membership  function  untuk mendapatkan nilai preferensi yang  sesuai dan nilai akurasi. Penelitian ini melakukan 2 percobaan yaitu dengan memilih jumlah variabel linguistik 5 dan jumlah variabel linguistik  7.  Hasil  penelitian  menunjukkan  nilai  akurasi  yang  lebih  baik  pada  pemilihan  jumlah  variabel linguistik 7 menggunakan metode Fuzzy Simple Additive Weighting mencapai 96,08%.
Evaluasi Usability pada Aplikasi Sistem Pencatatan Pegawai Menggunakan Metode Usability Testing dan USE Questionnaire Abraham Timotius Asmoro Putro; Adi Wibowo; Sutikno Sutikno
Jurnal Masyarakat Informatika Vol 15, No 2 (2024): November 2024
Publisher : Department of Informatics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jmasif.15.2.67263

Abstract

In the era of increasingly rapid digitalization, employee recording system applications have become an unavoidable necessity for companies for the efficiency and effectiveness of human resource management. In this context, the usability or usefulness of employee management system applications is a crucial factor in ensuring that users can smoothly and efficiently utilize the system provided. Usability is an important aspect in application design that is often overlooked. The success of an application is not only determined by its features and functionality, but also by the ease of use and user satisfaction in operating it. Therefore, usability evaluation is a very necessary step to ensure that the application being developed meets user needs optimally. The usability testing method and the use of questionnaires are common approaches used in evaluating the usability of an application. In the context of the CV. Cupang Semarangan employee recording system application, this study aims to evaluate the usability of the application using the usability testing method and questionnaire. This study resulted in usability values for the aspects of effectiveness, efficiency, ease of use, ease of learning, and satisfaction being 87.96%, 77.47%, 64.88%, 71.43%, and 68.57% respectively.
Evaluation of Machine Learning Algorithms for Classifying User Perceptions of a Child Health Monitoring Application Eka Rahmawati; Adi Wibowo; Budi Warsito
Jurnal Informatika Vol. 12 No. 2 (2025): October
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/

Abstract

Supporting children’s early development requires consistent attention, ensuring their growth aligns with health standards. PrimaKu is one of the mobile applications developed by the Indonesian Pediatric Society. That application was created to assist parents in recording developmental milestones, monitoring immunization schedules, and accessing practical health information. This study investigates user perceptions of the application by analyzing publicly available reviews and ratings from the Google Play Store. Four supervised machine learning algorithms were applied to classify the sentiment expressed in the reviews: Support Vector Machine (SVM), Random Forest, Decision Tree, and Naive Bayes. Among the models tested, SVM achieved the highest classification accuracy (81%), followed by Random Forest (77%), Decision Tree (74%), and Naive Bayes (73%). Precision, recall, and F1-score were also used to evaluate the performance of each model. The results highlight the relevance of machine learning in capturing and interpreting user sentiment toward digital health tools. Further exploration of deep learning architectures is encouraged to enhance classification accuracy and understanding of features.
Co-Authors Abraham Timotius Asmoro Putro Adiyono, Soni Alfania Sarah Handayani Asep Insani Bayu Surarso Beta Noranita Beta Noranita Boko Nurdiyanto S. Budi Warsito Budi Warsito Cahyo Adhi Hartanto Dedy Kurniadi Djalal Er Riyanto Eka Rahmawati Eko Adi Sarwoko Ferda Ernawan Fra Siskus Dian Arianto Guruh Aryotejo Iffa Zainan Nisa Indra Jaya Indra Waspada Kabul Kurniawan Kiswanto Kiswanto mohamad jamil Muh. Abdur Rohman Muh. Abdur Rohman Noel Segura Meraz Nurdin Bahtiar Prajanto Wahyu Adi Rahmat Gernowo Retno Kusumaningrum Rini Nuraini Rizka Putri Nawangsari Sukmawati Nur Endah Sutikno Sutikno Wahyul Amien Syafei Wirawan, Panji Wisnu