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All Journal International Journal of Electrical and Computer Engineering Jurnal Manajemen Teknologi Perfecting a Video Game with Game Metrics Jurnal Sistem Cerdas Indonesian Journal of Electrical Engineering and Computer Science Jurnal Nasional Teknik Elektro dan Teknologi Informasi International Journal Science and Technology (IJST)
Suhono Harso Supangkat
Institut Teknologi Bandung
Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering

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Journal : Jurnal Sistem Cerdas

 1 
Platform dan Pemodelan Kerjasama Multi Agen untuk Layanan Pengiriman Barang Andrew Brian Osmond; Suhono Harso Supangkat
Jurnal Sistem Cerdas Vol. 2 No. 1 (2019): Artificial Intelligence for Smart Society
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (698.265 KB) | DOI: 10.37396/jsc.v2i1.15

Abstract

sistem multi agen sampai saat ini masih banyak diterapkan untuk mensimulasikan berbagai permasalahan di bidang transportasi dan logistik. Teknologi rantai blok juga saat ini mulai banyak diterapkan di berbagai penelitian, walau masih sedikit penerapannya dalam bidang transportasi dan logistik. Di dalam paper ini akan direview paper - paper terkait sistem multi agen dan blockchain untuk bidang transportasi dan logistik. Review ini menggunakan metode Systematic Literature Review (SLR) dengan mendefinisikan pertanyaan penelitian. Setelah mereview 20 paper, maka didapat bahwa pendekatan dalam bidang transportasi dan logistik dengan sistem multi agen sebagian besar digunakan untuk menyelesaikan permasalahan penentuan rute kendaraan dengan memanfaatkan perilaku agen seperti komunikasi, koordinasi, kerjasama, dan perencanaan. Semntara itu, teknologi rantai blok masih sedikit diterapkan dalam bidang transportasi dan logistik. Teknologi rantai blok pada paper yang direview diterapkan dalam komunikasi kendaraan. Kontribusi yang diharapkan dalam paper ini yakni memberikan overview secara umum bagi para peneliti yang ingin melakukan penelitian dalam bidang logistik, khususnya menggunakan pendekatan sistem multi agen dan teknologi rantai blok.
Predictive Analitycs Menggunakan Machine Learning Untuk Memprediksi Waktu Keterlambatan Berdasarkan Penyebab Keterlambatan Pada PT. Kereta Api Indonesia Christopher Sanjaya; Suhono Harso Supangkat
Jurnal Sistem Cerdas Vol. 3 No. 1 (2020): Artificial Intelligence untuk Indonesia
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v3i2.59

Abstract

Abstract - PT. Kereta Api Indonesia (KAI) is a company that regulates trains in Indonesia. Railways in Indonesia still often experience delays, especially in the Cibatu Purwakarta lane which will be the object of research in this study. This research is intended as an initial stage of applying machine learning to overcome the problem of tardiness by providing the best model for predicting tardiness and what things are causing the tardiness pattern. Machine learning models considered are decision tree regression, support vector machine regression, random forest regression, ensemble learning, and gradient boosting regression. From the best machine learning techniques, a model will be made to predict the delay based on the cause of the delay. Keywords – KAI, machine learning, predict the delay, cause of delay, Cibatu Purwakarta lane
Pengukuran User Experience Platform Otomasi Proses berbasis Low Code Menggunakan UEQ Noor Falih; Suhono Harso Supangkat; Fetty Fitriyanti Lubis; Okyza Maherdy Prabowo
Jurnal Sistem Cerdas Vol. 6 No. 2 (2023)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v6i2.320

Abstract

This study analyzes the user experience of a Low Code-based Process Automation Platform to enhance efficiency, productivity, and accuracy in business processes. In this study, an analysis of user experience was carried out using a modified long version of the User Experience Questionnaire (UEQ), consisting of six scales: attractiveness, perspicuity, efficiency, dependability, stimulation, and novelty. Based on the evaluation of the 26 items from the UEQ, the dependability and novelty scales scored the lowest compared to the other scales. Therefore, it is necessary to improve the aspects related to these two scales in order to enhance the platform's role in improving the holistic user experience of the platform.
Web-Based Anomaly Detection for Smart Urban Living: Drone Photography and Videography Davy Ronald Hermanus; Suhono Harso Supangkat; Fadhil Hidayat
Jurnal Sistem Cerdas Vol. 6 No. 2 (2023)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v6i2.330

Abstract

Smart cities aim to enhance the quality of life for urban dwellers through technological advancements. Machine Learning (ML) plays a crucial role in various domains of Smart X, including education, transportation, healthcare, environment, and living. However, integrating ML into daily life poses challenges. This paper presents a web-based ML application prototype that effectively augments the daily quality of life for communities. It specifically explores the advantages of web-based photography-videography-enabled drones for citizen needs and city inspections. The application utilizes ML to detect anomalies and identify normal objects, addressing the common challenge of distinguishing normalcy from abnormality. Examples include assessing the structural integrity of house components, analyzing medical images, and evaluating the quality of fruits or hydroponic plants. The study employs exploratory and experimental methods, utilizing teachable machine learning and the Python-based Streamlit application. Experimental results demonstrate that web-based photo and video analysis expedites the detection of normal and abnormal images and videos, surpassing the limitations of visual examination with the naked eye. This research contributes to advancing ML applications in smart living for urban communities.
Co-Authors Akbar, Saiful Albarda Albarda Andrew Brian Osmond Benny Ranti Christopher Sanjaya Dany Eka Saputra Davy Ronald Hermanus Fadhil Hidayat Fadhil Hidayat Faqih Hamami Fetty Fitriyanti Lubis Ford Lumban Gaol Hari Setiabudi Husni I Made Ariya Sanjaya Iqbal Ahmad Dahlan Jaka Sembiring Kuspriyanto Kuspriyanto Muhammad Bryan Gutomo Putra Nanang Hariyanto Noor Falih Novani, Santi Nur Iksan Okyza Maherdy Prabowo Putro, Utomo Sarjono Rian Putra Pratama Sarwono Sutikno Suryana, Lisandy Arinta Susetyo Bagas Bhaskoro Susetyo Bagas Bhaskoro Widya Liana Aji