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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Sinergitas PkM & CSR Jurnal Teknologi Sistem Informasi dan Aplikasi JURIKOM (Jurnal Riset Komputer) IJAIT (International Journal of Applied Information Technology) Journal of Robotics and Control (JRC) Prosiding Konferensi Nasional PKM-CSR Literasi: Jurnal Pengabdian Masyarakat dan Inovasi eProceedings of Engineering Jurnal Pengabdian Masyarakat Bangsa Proceeding of Community Service and Engagement
Guntur Prabawa Kusuma
Telkom University
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Perancangan Desain UI/UX Website SEAQIS Task Tracker untuk Mengelola Tugas Karyawan SEAQIS Wananda, Eka Dian; Hendriyanto, Robbi; Kusuma, Guntur Prabawa
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 3 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v7i3.42015

Abstract

SEAMEO QITEP in Science (SEAQIS) has an important role in improving the competence of science educators and education personnel in Southeast Asia. Currently, project implementation in SEAQIS still uses manual methods, which results in a lack of transparency and effective control. To overcome this challenge, it is necessary to digitize the development a web-based system that can facilitate Human Resource Development (HRD), division heads, and Staf in managing, monitoring, and assessing these projects. This research aims to design the SEAQIS platform with a user experience approach using Design thinking methodology. Through this process, a high-fidelity Prototype was created and then Tested using usability testing. The Test results showed that the Prototype successfully met the user's needs, recording a usability score of 86. Thus, the designed SEAQIS Task Tracker website can improve the efficiency of SEAQIS employees' task management.
Process Mining on BPJS Kesehatan Data Sample for Disease Trajectory Analysis with Secondary Diagnosis Arif Wahyudi, Aulia Rahman; Prima Kurniati, Angelina; Prabawa Kusuma, Guntur
eProceedings of Engineering Vol. 10 No. 5 (2023): Oktober 2023
Publisher : eProceedings of Engineering

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

Abstract

Abstract— Disease trajectory, the course of a disease over time, and secondary diagnoses, additional medical conditions that a patient may have in addition to their primary diagnosis, can greatly impact patient outcomes, treatment, and management. This study analyzed the feasibility of disease trajectory analysis with secondary diagnoses using the Indonesia Health Insurance (BPJS Kesehatan) 2015-2018 data sample. The study followed the established Process Mining Project Methodology (PM2). We extract the data set from the BPJS Kesehatan data sample, generate an event log from them, discover the disease trajectory by doing process discovery using Heuristic Miner, assess the discovered model using conformance checking, and evaluate it. By analyzing the data sample of Acute Myocardial Infarction (AMI) patients, similar patterns were identified in the 2,100 cases with secondary diagnoses, which can be used to take proactive measures to prevent or manage these secondary diagnoses and gain a more comprehensive understanding of how patients' health changes over time.Keyword — process mining, healthcare, disease trajectory, secondary diagnosis
PENGEMBANGAN WEBSITE SEBAGAI SARANA INFORMASI DAN KOMUNIKASI INDONESIAN HOUSEKEEPERS ASSOCIATION (IHKA) JAWA BARAT Mhd. Ananda Ridho Alfadillah; Ersy Ervina; Guntur Prabawa Kusuma; Riza Taufiq; Darel Ajni Fahrezi; Fathur Rahman Nur; Fauzan Fajar
The Proceeding of Community Service and Engagement (COSECANT) Seminar Vol. 4 No. 2 (2024): The Proceeding of Community Service and Engagement (COSECANT) Seminar
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cosecant.v4i2.8456

Abstract

Indonesian Housekeepers Association (IHKA) merupakan asosiasi yang mewadahi para profesional di bidang housekeeping di Indonesia. Berdiri sejak 1975, IHKA memiliki peran strategis dalam meningkatkan standar, profesionalisme, dan kesejahteraan praktisi housekeeping. Namun, hingga kini, IHKA belum memiliki sarana informasi terpusat yang mendukung komunikasi lintas cabang. Penelitian ini bertujuan mengembangkan website profil organisasi IHKA untuk BPD IHKA Jawa Barat dan BPC di bawahnya sebagai platform informasi terintegrasi. Penelitian ini menggunakan metode Waterfall yang mencakup empat tahapan utama: pengumpulan informasi, penyusunan proposal, perancangan, dan evaluasi. Website ini dirancang sebagai media komunikasi terpusat yang efisien dan modern untuk mendukung pengelolaan informasi, koordinasi antar cabang, serta penyebaran program kerja BPD dan BPC IHKA Jabar. Hasil penelitian menunjukkan bahwa website ini berhasil meningkatkan efektivitas komunikasi internal, transparansi informasi bagi anggota, dan kemudahan akses terhadap program kerja serta kegiatan organisasi. Selain itu, platform ini juga berperan sebagai media promosi strategis yang memperkuat eksistensi IHKA di industri perhotelan, khususnya di Jawa Barat..
PENGEMBANGAN APLIKASI WEB PEMETAAN KOMODITAS HASIL TANI PADA BALAI PENYULUH PERTANIAN SELAAWI Suryatiningsih Suryatiningsih; Wardani Muhamad; Sari Dewi Budiwati; Paramitha Mayadewi; Guntur Prabawa Kusuma; Wahyu Hidayat
Jurnal Sinergitas PKM & CSR Vol. 7 No. 3 (2023): June
Publisher : Universitas Pelita Harapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19166/jspc.v7i3.7766

Abstract

Penyuluhan pertanian sebagai sebuah sistem pendidikan non-formal melibatkan 3 (tiga) entitas utama, yaitu: penyuluh, petani, dan Badan Penyuluh Pertanian (BPP) sebagai organisasi yang menaungi penyuluh pertanian. Efektivitas program kegiatan penyuluhan pertanian diyakini mampu mewujudkan keberhasilan dan keberlanjutan pembangunan pertanian. Berbagai metode komunikasi dan pemanfaatan TIK dapat digunakan untuk meningkatkan efektivitas kegiatan penyuluhan pertanian. Pada kegiatan pengabdian masyarakat yang dilaksanakan di BPP Selaawi, Program Studi D3 Sistem Informasi Universitas Telkom membuat solusi berupa sebuah aplikasi web sebagai media untuk menyebarluaskan program kerja BPP sekaligus menjadi pusat pengetahuan bagi penyuluh dan petani. Solusi ini mampu memenuhi tujuan BPP, yaitu program kerja penyuluhan. Selain itu, aplikasi web yang dibangun juga menjadi media elektronik untuk memperkenalkan dan memetakan komoditas hasil tani di wilayah kerja BPP Seelawi. Aplikasi web yang dihasilkan telah disosialisasikan kepada 20 penyuluh yang hadir sebagai peserta pada pelaksanaan kegiatan pengabdian masyarakat. Lebih dari 90% peserta menyatakan bahwa fitur yang disediakan pada aplikasi web sudah sesuai dengan kebutuhan penyuluh pertanian dan BPP serta bermanfaat bagi penyuluh, petani, dan masyarakat umum.
Comparative Evaluation of Deep Learning Models for Real-Time Waste Classification Sari Dewi Budiwati; Guntur Prabawa Kusuma; Nishanth Shanmugam; Sujai Samraj; Bagas Catur Santoso; Ova Syahdira Pramondari; Fakhira Nur Aini
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 10 No 4 (2026): August 2026 (in progress)
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v10i4.7455

Abstract

Waste management has become a pressing global challenge due to rapid urbanization and population growth, leading to increased environmental pollution and resource depletion. Automating waste segregation using deep learning can significantly improve recycling efficiency and reduce manual labor. In this study, five deep learning models: YOLOv8, YOLOv5, MobileNetV2, Single Shot Multibox Detector (SSD), and Google’s pre-trained EfficientNet, were evaluated for real-time waste detection and classification. A dataset consisting of 15,150 images across 12 waste categories was used for training and testing, representing common household waste materials and evaluated using real-world objects such as water bottles, glass bottles, cans, and used face masks. Testing was conducted on both a high-performance workstation and a Raspberry Pi 4 edge device to assess detection accuracy, inference speed, and practical deployment feasibility. The results indicate that YOLOv8 achieved the highest average accuracy of 83% with reliable performance across diverse object types, whereas EfficientNet achieved moderate accuracy of approximately 60% with higher inference latency. Lightweight models such as MobileNetV2 and SSD were computationally efficient but exhibited lower accuracy, at 42% and 41%, respectively, particularly when handling irregular or overlapping objects. These findings demonstrate that YOLOv8 provides the most effective balance between accuracy and real-time performance, making it well suited for intelligent waste sorting systems.
Co-Authors , Inne Gartina Aji Gunadi, Gagah Al Giffari, Muhammad Zacky Aldilla Iradianty Angelina Prima Kurniati Arif Wahyudi, Aulia Rahman Bagas Catur Santoso Bayu Rima Aditya Bethani Suryawardani Damanik, Junia Putri Darel Ajni Fahrezi Dedy Rahman Wijaya Ersy Ervina Fakhira Nur Aini Fathur Rahman Nur Fauzan Fajar Firdaus Hafidz Gartina, Inne Gede Agung Ary Wisudiawan Giva Andriana Mutiara Gunadi, Gagah Aji Imelda Atastina Kurnia Wijayanti Marchiningrum, Anranur Uwaisy Mayadewi, Paramitha Mhd. Ananda Ridho Alfadillah Muhammad, Rafi Narwin, Agung Isra Nishanth Shanmugam Ova Syahdira Pramondari Owen Ashby Johnson Paramitha Mayadewi Purwanto, Zadosaadi Brahmantio Riza Taufiq Robbi Hendriyanto Sari Dewi Budiwati Siska Komala Sari SRI RAHAYU Sri Rahayu Sujai Samraj Suryatiningsih Wahyu Hidayat Wananda, Eka Dian Wardani Muhamad Warih Maharani Wijaya, Dedi Rahman Wijaya, Yaffazka Afazillah