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All Journal Multitek Indonesia : Jurnal Ilmiah JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal ABDINUS : Jurnal Pengabdian Nusantara Indonesian Journal of Cultural and Community Development Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) International Journal of Engineering, Science and Information Technology Bulletin of Information Technology (BIT) Indonesian Journal of Innovation Studies PELS (Procedia of Engineering and Life Science) Procedia of Social Sciences and Humanities MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA Prosiding University Research Colloquium Physical Sciences, Life Science and Engineering Indonesian Journal of Applied Technology Journal of Technology and System Information Journal for Technology and Science Tepak Sirih : Jurnal Pengabdian Kepada Masyarakat Madani
Setiawan, Hamzah
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Visualisasi Gedung Kampus 1 Universitas Muhammadiyah Sidoarjo MenggunakanAugmented Reality Sebagai Media Informasi Taurusta, Cindy; Asiddiq, Afnizar Maulana; Suprianto1, Suprianto; Setiawan, Hamzah
Journal of Technology and System Information Vol. 1 No. 1 (2024): January
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/jtsi.v1i1.2146

Abstract

The making of this application is as a promotional medium to increase the number of new students and introduce the campus when PMB conducts campus tours. Visualization of augmented reality (AR) campus 1 buildings at Muhammadiyah University of Sidoarjo as an information medium that can combine real and virtual objects in 3D buildings in real time. This study uses the Marker Based Tracking Method to produce applications that can display building visuals in 3D and can scan markers by pointing the smartphone camera at brochures from various angles including: top, left and right sides and back.
Revolutionizing Inventory Management: Web-Based System for Accurate and Efficient Reporting: Merevolusi Manajemen Inventaris: Sistem Berbasis Web untuk Pelaporan yang Akurat dan Efisien Triwahono, Handi; Rosid, Mochamad Alfan; Setiawan, Hamzah; Hindarto, Hindarto
Indonesian Journal of Innovation Studies Vol. 22 (2023): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v22i.869

Abstract

The aim of this research is to develop a systematic information system for logistics of consumable goods by applying the FIFO method. It also aims to synchronize expenditure reports with inventory reports to minimize discrepancies between financial and inventory reports. The research approach consists of two methods, qualitative case study and FIFO inventory management method. The Web-based Consumable Goods Logistics Information System is built using PHP version 8.1 programming language with Laravel version 9 framework on the server-side, Vue.js on the client-side, and MySql as the database. It can be operated on browsers such as Chrome, Mozilla Firefox, or Microsoft Edge. The system is expected to help local governments generate the required reports for the BPKAD, which mandates monthly inventory reports on incoming and outgoing goods. The application is user-friendly and capable of producing accurate and fast reports. Highlights: 1. This research aims to create a systematic information system for consumable goods logistics using the FIFO method to minimize discrepancies between financial and inventory reports. 2. The Web-based system is user-friendly, capable of producing accurate and fast reports, and fulfills the inventory reporting needs of each department/unit while providing valid data to the Health Department. 3. The system is built using PHP 8.1 and Laravel 9 framework on the server-side, Vue.js on the client-side, and MySql as the database, and can be operated on Chrome, Mozilla Firefox, or Microsoft Edge browsers.
Comment Sentiment Analysis of JNE Using K-Nearest Neighbor (KNN) Method on Twitter: Analisis Sentimen Komentar terhadap JNE Menggunakan Metode K-Nearest Neighbor (KNN) pada Twitter Arisandi, Ricky Renaldo; Sumarno, Sumarno; Setiawan, Hamzah
Indonesian Journal of Innovation Studies Vol. 23 (2023): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v22i.883

Abstract

Social media has evolved into a prominent public space for virtual criticism, particularly on platforms like Twitter, facilitated by widespread smartphone usage. Netizens utilize Twitter as an effective communication channel due to its accessibility and vast reach. This study focuses on sentiment analysis of comments from the public on Twitter, aiming to expedite the acquisition of accurate information about the general sentiment towards JNE (a logistics company). The K-Nearest Neighbor (KNN) classifier is employed, employing the TF-IDF weighting method to classify Indonesian language comments and assess the achieved accuracy. Highlights: Study focused on sentiment analysis of Twitter comments concerning JNE services using the K-Nearest Neighbor (KNN) method with Indonesian language text. Employed the TF-IDF weighting to classify comments and achieved an impressive 90% accuracy in sentiment analysis. The obtained classification proves valuable in evaluating public perception of JNE's services based on feedback from the social media community on Twitter.
Pelatihan Akupresur Kader Lansia Guna Meningkatkan Imunitas di Desa Penatarsewu Tanggulangin Sidoarjo Amelia, Paramitha; Setiawan, Hamzah; Wicaksono, Arief; Cholifah, Siti; Jakaria, Ribangun Bamban
Jurnal ABDINUS : Jurnal Pengabdian Nusantara Vol 5 No 2 (2021): Volume 5 Nomor 2 Tahun 2021
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/ja.v5i2.16569

Abstract

This Covid-19 pandemic has a multidimensional impact on life, especially elderly who face a significant risk of contracting Covid-19. Several ways to increase immunity, especially elderly, include nutritious food, increase activity, and acupressure. The purpose of research is to provide acupressure training for elderly cadres to increase immunity of elderly during Covid-19 pandemic. The stages of implementing acupressure training were the survey service team to partner locations, collaborate with village government, midwives and elderly cadres then plan concept of solutions and stages. The team made media in form of posters of acupressure points and leaflets of acupressure points for hands and body. The result of community service, namely attitude of participants about acupressure has increased from attitude of the good category 11 people (73%) to very good as many as 14 participants (93%). The skills of participants, namely that before training did not have acupressure skills and after training all participants had acupressure skills. Number of participants who have skills to determine acupressure points correctly is 13 people (86%) and participants who can do acupressure correctly are 12 people (80%).
Penerapan Metode Support Vector Machine (SVM) untuk Memprediksi Pemilihan Karir bagi Alumni UMSIDA Qur'ani, Meisyilia Difanada; Setiawan, Hamzah; Kautsar, Irwan Alnarus
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 4 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i4.6630

Abstract

The success of a university is not only determined by its educational process but also by the ability of its graduates to get a job. The aim of this research is to develop and evaluate a predictive model using the Support Vector Machine (SVM) method to predict career choices for alumni of the Muhammadiyah University of Sidoarjo (UMSIDA) . This research uses a quantitative approach, in the topic of predicting sample data obtained from tracer data of Umsida students which is compiled into the title "Application of the Support Vector Machine (SVM) Method to Predict Career Choices for UMSIDA Alumni". The model evaluation results show that SVM has very good performance, with high precision, recall and f1-score for the dominant class. Feature importance analysis shows key features that have a significant influence on model decisions, providing valuable insight into the factors that influence alumni career choices. With an overall accuracy of 97%, this model is able to provide appropriate career recommendations for the majority of alumni.
Co-Authors Abidin, Husnul Ade Eviyanti Adi Putra, Lutfi Alshaf Pebrianggara Amelia Kusumawardani, Paramitha Amelia, Paramitha Arief Wicaksono, Arief Arif Senja Fitrani Arisandi, Ricky Renaldo Asiddiq, Afnizar Maulana Assara, Enggi Sabrilla Astutik, Ika Ratna Indra Aulia Aliffiandi, Rizca Aziziyah, Ismi Anisa Duwi Rahayu Grahita Albarika, Ayu Hasan, Jamal Hindarto Imanda, Almyra Gitta Intan Nuraini Irwan Alnarus Kautsar Mochamad Alfan Rosid Muhammad Fikri Muhammad, Fajar Muhammad, Khithoh Sabda Nur Maslikhatun Nisak Nuril Lutvi Azizah Paramitha Amelia Kusumawardani Pralaya, Gilang Pratiwi, Rosa Machmuda Qur'ani, Meisyilia Difanada Ribangun Bamban Jakaria Rohman Dijaya RR. Ella Evrita Hestiandari sandy, Mochamad septa Senja Fitrani, Arief Sinta Nuriyah, Rizky SITI CHOLIFAH Sumarno . Suprianto1, Suprianto Taurusta, Cindy Triwahono, Handi Uce Indahyanti Usqi Salsabila, Firdausi Wirabumi Putra, Cakra Wiwik Sumarmi Yansah, Muhammad Kahfi Yunianita Rahmawati, Yunianita