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All Journal Bulletin of Electrical Engineering and Informatics Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Jurnal Teknik Elektro Prosiding SNATIF WARTA Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Komuniti : Jurnal Komunikasi dan Teknologi Informasi SMARTICS Journal METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurnal ULTIMATICS International Journal of Elementary Education Indonesian Journal of Applied Informatics JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Indonesian Journal of Business Intelligence (IJUBI) Indonesian Journal of Electrical Engineering and Computer Science Computer Science and Information Technologies Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Teknik Informatika (JUTIF) Jurnal Pendidikan dan Teknologi Indonesia Jurnal Manajemen dan Teknologi Informasi Duta.com : Jurnal Ilmiah Teknologi Informasi dan Komunikasi Proceeding ISETH (International Summit on Science, Technology, and Humanity) Abdi Teknoyasa Mestro Prosiding Seminar Riset Mahasiswa International Conference on Education for All Jurnal Informatika Polinema (JIP) The Indonesian Journal of Computer Science Computing and Information System Journal
Yusuf Sulistyo Nugroho
Universitas Muhammadiyah Surakarta
Religion Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Other

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UX (USER EXPERIENCE) EVALUATION OF THE OPENLEARNING SYSTEM AT UNIVERSITAS MUHAMMADIYAH SURAKARTA USING HEURISTIC EVALUATION AND USABILITY TESTING Imana, Afifah Ghaisani; Nugroho , Yusuf Sulistyo
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 4 (2023): JUTIF Volume 4, Number 4, August 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.4.824

Abstract

Since the COVID-19 pandemic in 2020, the learning process at the University of Muhammadiyah Surakarta (UMS) has been carried out online using the OpenLearning platform. The use of OpenLearning media has provided an easy learning process for both lecturers and students. Although there are many conveniences and benefits offered, usability problems still arise, for example, there is no distinction between courses that have ended and those that are still active, the "Edit Page Header" feature on student users, and misperceptions in the progress bar in the Course menu. In addition, previous research has evaluated the UMS OpenLearning platform using the System Usability Scale (SUS) technique and scored 61 (grade scale D) and indicates that the system is well received. To identify more detailed problems related to user experience (UX) for the OpenLearning system applied at UMS, it is necessary to evaluate the UX with the other approaches. In this study, the Heuristic Evaluation method based on 10 principles of Heuristic and Usability Testing based on 5 Usability criteria are implemented to evaluate. The results of this study are a system prototype according to the results of heuristic evaluation. The prototype was evaluated using SUS method on 380 respondents. The SUS calculation yields a value of 69, which indicates that the system is classified to the grade scale category D. This insignificant increase in the SUS score indicates that the UX improvements have not been optimally related to usability due to some factors such as the complexity of the system when used, inconsistencies, and the need for users to adapt to using the system. This finding can be considered by the system development team to fix the weaknesses so as to create an online learning platform with a better UX.
UNDERSTANDING THE TRENDS OF DEVELOPER CONTRIBUTIONS IN NUGET, PYPI, AND NPM ECOSYSTEMS Raiffaza, Naufal Dzakia; Nugroho, Yusuf Sulistyo
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.4.2143

Abstract

Open-source software (OSS) projects have taken the software development industry rapidly by encouraging cooperation, creativity, and knowledge exchange. However, despite the widespread adoption and success of OSS, there is limited understanding of how contributions are distributed across different types of activities, such as code, documentation, and issue triage, and how these contributions vary over time within different OSS ecosystems. This gap in knowledge can impact effective project management and community engagement strategies. To address this problem, we aim to look into the patterns of developer contributions within the three main OSS ecosystems hosted on GitHub, namely NuGet, PyPI, and NPM. We examine the distribution of type-based contribution and the trends of developer activities within these ecosystems. We classify contributions into code, documentation, and issue triage using a mixed-methods approach that combines content analysis and time-series analysis, and we analyze the timeline variations in contribution trends. Our results show differences in pull request activity and developer contribution patterns between ecosystems. The ‘npm-expansion’ repository leads in open pull requests, while the ‘warehouse’ repository in PyPI dominates closed pull requests. The NPM ecosystem shows the highest number of activities when it comes to open pull requests. Notable peaks can be seen in trends in code development and maintenance activities, indicating the changing priorities of various projects. The findings shed light on the changes of OSS contributions and highlight the value of varied roles and ongoing community involvement. The comprehension of contribution patterns in open-source software projects is improved by this study, which also provides guidance for project management, resource allocation, and community support strategies. The knowledge acquired can direct the creation of instruments and systems that support more cooperative and productive open-source software ecosystems.
Exploring Algorithmic Approaches for Academic Interest Classification in Application: UMS Study Case Khoirunissa, Huda Aisyah; Nugroho, Yusuf Sulistyo
International Conference on Education for All Vol. 2 No. 1 (2024)
Publisher : Asosiasi Lembaga Pendidikan Tenaga Kependidikan Peguruan Tinggi Muhammadiyah dan Aisyiyah

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The COVID-19 pandemic has led to new learning models at universities, posing challenges for educators and students. This situation will likely have an impact on the mental health of most students due to the lack of face-to-face interaction when distance learning is implemented. While social distancing is critical to reducing new cases of COVID-19, implementing new learning models at universities presents significant challenges. This study aims to categorize student interests in discussion room applications by applying machine learning model. The machine learning models employed include Random Forest, Naive Bayes, XGBoost, CatBoost, and LightGBM. The procedure of this research consists of several steps, starting from data collection, data preprocessing, classification, model evaluation, model testing, and deployment. The result shows that Random Forest has performed the best in this classification task compared to other four models. The testing result of the system shows that the recommended academic interest tags are mostly relevant to user preferences, accounting for 71.24%. In addition, this finding offers insights into addressing the pandemics impact on students and highlights technologys potential to improve the educational experience, emphasizing the need for increased mental health resources
Systematic Mapping Study Terhadap Penerapan System Usability Scale Untuk Evaluasi Tingkat Kegunaan Perangkat Lunak Sari, Kiki Nur Indah; Nugroho, Yusuf Sulistyo
Prosiding Seminar Riset Mahasiswa Vol 1, No 1: Maret 2023
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Beberapa tahun terakhir, banyak metode pengujian dilakukan untuk mengevaluasi tingkat kegunaan perangkat lunak. Salah satu metode yang digunakan untuk mengevaluasi kegunaan adalah System Usability Scale (SUS). Namun, saat ini belum ada penelitian yang menganalisis tren penerapan SUS untuk mengevaluasi tingkat kegunaan suatu perangkat lunak. Sehingga dalam penelitian ini dilakukan survei terhadap 6.171 artikel publikasi yang diterbitkan di database electronic Springer Link dari tahun 2017 sampai 2022. Dengan menerapkan kata kunci serta kriteria inklusi dan eksklusi, sebanyak 24 artikel publikasi relevan yang teridentifikasi mencantumkan kata kunci SUS dalam artikel. Hasil penelitian menunjukkan bahwa penerapan SUS terbanyak pada artikel yang diterbitkan tahun 2022 yaitu 10 (41.7%) artikel. Dari 24 artikel tersebut, SUS diterapkan untuk menguji sistem pada 19 (79.2%) artikel. Bidang penerapan sistem terbanyak adalah bidang teknologi yaitu sebanyak 10 (52.6%) artikel. Artikel berdasarkan jumlah responden paling banyak dengan jumlah responden antara 1 dan 20 orang digunakan pada 7 (36.8%) artikel. Sedangkan berdasarkan jenis responden student terbanyak digunakan pada 10 artikel. Kriteria responden terbanyak berdasarkan pengalaman pengguna diterapkan pada 10 artikel. Perolehan skor SUS berdasarkan artikel yang diperoleh tertinggi diantara skor 72.6 dan 84.0 dengan adjective excellent yang dihasilkan dari 8 artikel. Studi pemetaan sistematis ini dapat memberikan gambaran dan peluang dalam mengeksplorasi terhadap topik penelitian baru terkait penerapan SUS untuk evaluasi tingkat kegunaan perangkat lunak.Keyword: studi pemetaan sistematis, system usability scale, evaluasi perangkat lunak, survei, artikel publikasi
Combination of Mobile Infrastructure Based Routing Protocol and RSU-Advertisement Routing Protocol in Urban VANET Gunawan, Dedi; Nugroho, Yusuf Sulistyo
Proceeding ISETH (International Summit on Science, Technology, and Humanity) 2016: Proceeding ISETH (International Conference on Science, Technology, and Humanity)
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/iseth.2378

Abstract

Vehicular ad hoc network (VANET) is a subclass of mobile ad hoc network (MANET), in which it is used to support intelligent transportation system. Generally, the main problem in VANET is in routing protocol. This is a challenging task due to the fact that moving object with certain direction and speed always changes the network topology quickly. Some routing protocols actually have been proposed to deal with routing complexity. In this paper we proposed new approach which was combining the existing routing protocol in order to reduce the dropping package in dynamic environment. By combining mobile infrastructure base routing (MIBR) and advertisement routing, the packet loss could be reduced. MIBR used certain type of vehicle on the road as the priority of routing hop. While, placing fixed wireless infrastructure in the roadside (RSU) would be helpful in case of traffic jam, since it could forward the package to the most far targeted vehicle when other vehicle hop experiences stuck.
Decision Tree Induction for Classifying the Cholesterol Levels Nugroho, Yusuf Sulistyo; Gunawan, Dedi
Proceeding ISETH (International Summit on Science, Technology, and Humanity) 2016: Proceeding ISETH (International Conference on Science, Technology, and Humanity)
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/iseth.2384

Abstract

Cholesterol is a soft, yellow, and fatty substance produced by the body, mainly in the liver. Every day, liver produces about 800 milligrams of cholesterol which is derived from animal products, seafood, milk, and dairy products. At normal levels, cholesterol is useful for health, because it is one of the essential fats required by the body for cell formation. Meanwhile, cholesterol levels are classified into three categories: normal, high, and low. The cholesterol levels can be affected by several factors that are sometimes not widely known by common people. The objective of this study was to determine the level of significance of each factor that affects cholesterol levels and to find the value of accuracy, precision and recall of the algorithms used in decision tree induction. The selection criterions used were the information gain, gini index and gain ratio to find the level of significance of the factors that affect cholesterol levels. Variables that affect cholesterol levels divided into four types, namely gender, age, history of smoking, and history of diabetes. The result showed that the most influence factors on cholesterol levels based on training data processed using three algorithms was the history of diabetes. Meanwhile, the highest accuracy was obtained by the information gain which was 56.14%. The recall values were distributed evenly for all three algorithms, it indicated the equality of those three algorithms. The information gain and the gain ratio had equal precision values (57.58%), however, they had higher precision in compared with the gini index. In contrast, the gain ratio was higher than the information gain and the gini index concerning with the RMSE of 0.564.
AUTOMATED ACNE TYPE IDENTIFICATION THROUGH FORWARD CHAINING APPROACH Rakhmadi, Aris; Fikamelyalla, Naura; Winiarti, Sri; Silmina, Esi Putri; Fadlillah, Umi; Nugroho, Yusuf Sulistyo
Indonesian Journal of Business Intelligence (IJUBI) Vol 8 No 1 (2025): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v8i1.5377

Abstract

Acne, a prevalent dermatological condition, poses significant physical and psychological challenges. Despite its widespread impact, timely and accessible diagnosis remained a barrier for many, emphasizing the need for innovative solutions. This study introduced an online consultation system for acne-type identification, leveraging a forward chaining approach within an AI-powered expert system. The system analyzed user-reported symptoms—such as severity, location, and appearance—using a rule-based inference mechanism to provide accurate diagnoses and tailored treatment recommendations. Developed using a prototype model, the system’s knowledge base was enriched through observations, literature reviews, and expert interviews, ensuring reliability and clinical relevance. Iterative testing, including black-box evaluations and a System Usability Scale (SUS) assessment, confirmed the system's functionality and user satisfaction, with a SUS score of 86.5, indicating high acceptance. The system bridged critical gaps in dermatological care, particularly for underserved communities, by enabling rapid, user-centric diagnostics and personalized recommendations. The research underscored the transformative potential of artificial intelligence and expert systems in healthcare. By integrating accessibility, scalability, and precision, the proposed system addressed the challenges of acne management and set a foundation for future advancements in dermatological diagnostics.
Systematic Literature Review Untuk Identifikasi Tentang Penggunaan Decision Support System Yallah, M Hafidz Hasbi; Nugroho, Yusuf Sulistyo
Jurnal Pendidikan dan Teknologi Indonesia Vol 5 No 12 (2025): JPTI - Desember 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.519

Abstract

Sistem pendukung keputusan dapat diartikan sebagai suatu sistem interaktif berbasis komputer yang membantu para pengambil keputusan menyelesaikan masalah-masalah yang tidak terstruktur dengan memanfaatkan data dan model. Pengembangan sistem informasi pendukung keputusan memiliki metode-metode yang beragam mulai dari metode terstruktur hingga berbasis objek. Mengingat pentingnya metode pengembangan sistem informasi pendukung keputusan dan pemilihan metode di mana sistem itu berjalan, maka pada penelitian ini dikumpulkan data-data dari penelitian terdahulu tentang Sistem Pendukung Keputusan. Data-data yang dikumpulkan adalah jurnal yang membahas tentang pengembangan Sistem Pendukung Keputusan dari tahun 2020 hingga 2024. Data-data tersebut diidentifikasi menggunakan metode Systematic Literature Review (SLR). Dengan penggunaan Metode SLR dapat dilakukan review dan identifikasi jurnal secara sistematis yang pada setiap prosesnya mengikuti langkah-langkah atau protokol yang telah ditetapkan. Hasil penelitian menunjukkan bahwa platform yang dominan digunakan dalam pengembangan sistem pendukung Keputusan adalah untuk bidang kesehatan (clinical decision support system) sedangkan metode dominan digunakan dalam menyelesaikan pengembangan sistem informasi adalah metode terstruktur.
IMPLEMENTASI DAN PELATIHAN SIEMPUS UNTUK MENINGKATKAN EFISIENSI MANAJEMEN AKADEMIK DAN KEPEGAWAIAN DI SMP MUHAMMADIYAH SALATIGA Nugroho, Yusuf Sulistyo; Al Irsyadi, Fatah Yasin; Utomo, Ihsan Cahyo; Syah, Muhammad Fahmi Johan; Nugraha, Keisha Jenny Maulida
Abdi Teknoyasa Vol. 6 No. 2 (2025): Volume 6, Nomor 2, Desember 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Perkembangan teknologi informasi telah membawa perubahan signifikan dalam tata kelola administrasi pendidikan, namun banyak sekolah, termasuk SMP Muhammadiyah Salatiga, masih menghadapi kendala dalam pengelolaan data pegawai dan siswa yang dilakukan secara manual. Kondisi ini menimbulkan duplikasi data, keterlambatan pelaporan, serta rendahnya efisiensi dan transparansi pengelolaan informasi. Program Pengabdian kepada Masyarakat Teknologi Tepat Guna (P2TTG) ini dilaksanakan untuk mengatasi permasalahan tersebut. Tujuan kegiatan ini adalah mengembangkan SIEMPUS (Sistem Informasi Edukasi Manajemen Pegawai dan Unsur Siswa) sebagai sistem informasi berbasis web yang mampu mengelola data pegawai, siswa, kelas, tahun ajaran, kenaikan tingkat, kelulusan, dan alumni secara terpusat. Pengembangan sistem menggunakan pendekatan V-Model yang meliputi tahap definisi kebutuhan, perancangan, realisasi, pengujian, serta sosialisasi dan pelatihan pengguna. Hasil implementasi menunjukkan bahwa SIEMPUS dapat meningkatkan efisiensi administrasi dan integrasi data di sekolah, dengan nilai pengujian System Usability Scale (SUS) sebesar 89,58, menunjukkan dalam kategori Excellent. Kategori ini menandakan bahwa sistem mudah digunakan dan dapat diterima oleh pengguna. Program ini direkomendasikan untuk dikembangkan lebih lanjut dengan menambah fitur nilai, absensi, serta pelaporan akademik agar mendukung transformasi digital sekolah secara menyeluruh dan berkelanjutan.
Sistem Pemetaan Sinyal Tiga Dimensi Wi-Fi Berbasis Android Hardiyanto, Elviawan Riyani Septima; Sashiomarda, Jihan Aulia; Mayasari, Andia Enggar; Sholihah, Ianatush; Nugroho, Yusuf Sulistyo
JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Vol. 7 No. 2 (2025): Desember 2025
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jasiek.v7i2.15707

Abstract

The demand for stable Wi-Fi access continues to rise, but changes in room layouts often lead to degraded signal quality, necessitating efficient detection solutions. This research aims to develop an Android-based application for three-dimensional (3D) Wi-Fi signal mapping, leveraging smartphones as affordable devices to identify problematic areas. The software development employed the Agile methodology, with key features including 3D grid clustering, color-based visualization according to signal strength (-30 dBm to -100 dBm), and multi-SSID support. Evaluation was conducted in two stages: functional testing using the Black Box Testing method, and usability testing using the System Usability Scale (SUS) instrument. Evaluation results showed a usability score of 77.22 (categorized as "Good"), with 44.4% of users willing to recommend the application. This application proved effective for rapid mapping in various environments, particularly in multi-story buildings and for incidental events, offering advantages such as low cost, an intuitive interface, and comprehensive spatial visualization.
Co-Authors Aji Ari Adam Aldo Brian Granada Amri Zadi Hudaya Ariefin Nur Hidayat Arifin, Yuli Fajar Arini Nur Rohmah Aris Rakhmadi Balqis Aisyah Farahdiba, Balqis Aisyah Bambang Sukoco Basith, Abdul Dedi Gunawan Devi, Keke Rachma Diah Priyawati Dimas Bayu Stiawan Dimas Bayu Stiawan Dwi Prastika, Annisa Dwi Sarbini Eko Wijayanto Emiliyawati, Nova Endah Sudarmilah Endang Wahyu Pamungkas Fadilatul Fajriyah, Rizqi Fadlillah, Umi Fadlillah, Umi Fatah Yasin Fatah Yasin Al Irsyad, Fatah Yasin Fatah Yasin Al Irsyadi Fikamelyalla, Naura Fikamelyalla, Naura Galardhia Zain Azzahra Ganno Tribuana Kurniaji Hardiyanto, Elviawan Riyani Septima Hepy Adityarini Ihsan Cahyo Utomo Ihsan Fairuzsyifa, Ahya Imana, Afifah Ghaisani Iqbal Firdaus, Malvin Iqbal Ramadhani Islam, Syful Jan Wantoro Khoirunissa, Huda Aisyah Lidya Putri Arista M. Sholahuddin Mayasari, Andia Enggar Md. Javed Hoss Minalloh, Aldin Nasrun Mohammad Faqih Eza 'Ammar Muhammad Fahmi Johan Syah Naila Khairunnisa Nugraha, Keisha Jenny Maulida Nur Intan Permata Hati, Nur Intan Permatasari, Qisthoni Prilya Shanty Adrianie Puspitasari, Yuliana Raiffaza, Naufal Dzakia Riszki Wijayatun Pratiwi riszki wijayatun pratiwi, riszki wijayatun Rokhanuddin, Sigid Salma, Triana Dewi Samee, Abdul Sari, Kiki Nur Indah Sashiomarda, Jihan Aulia Sholihah, Ianatush Sigid Rokhanuddin Silmina, Esi Putri Silmina, Esi Putri Sri Winiarti Suci Cahya Amalia Sulastri Syafira, Ad'haniata Intan Syful Islam Syful Islam Tiara Danirmala Tiara Danirmala Winiarti, Sri Wuryaningsih Dwi Lestari, Wuryaningsih Dwi Yallah, M Hafidz Hasbi