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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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Pengembangan Platform Inovasi dan Kewirausahaan (IES) dengan menggunakan Perspektif Servis Sains: Studi Kasus LPIK ITB Novani, Santi; Suryana, Lisandy Arinta; Putro, Utomo Sarjono; Supangkat, Suhono Harso
Jurnal Manajemen Teknologi Vol 16, No 1 (2017)
Publisher : SBM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (16198.838 KB) | DOI: 10.12695/jmt.2017.16.1.2

Abstract

Abstract. The Institute for Innovation and Entrepreneurship (LPIK) is a hub to facilitate and bridge between ITB inventor and Entrepreneurial to interact with the Industry to co-create the value and to commercialize the technology. This institute is under Vice-rector of innovation and partnership of ITB. The study aims to analyze the current situation and propose a web-based platform to facilitate the interaction among the stakeholders in LPIK effectively and efficient. Service science perspective will be used in this study, start from the problem identification until solution development. The methodology was used is the qualitative approach, i.e., focus group discussion (FGD), survey and strategic assumption surfacing and testing (SAST). The finding is the assumption based on the importance, and the certain level of IES development is relevance (absolutely importance-very certain). The other assumption is considered as a factor which influence IES performance is accuracy, customization, content, timeliness, quality of interaction and also format.Keywords: IES (Innovation Entrepreneurship System) , platform, service science, strategic assumption surfacing and testing (SAST), value co-creationAbstrak. Lembaga pengembangan inovasi dan kewirausahaan (LPIK) adalah lembaga dibawah Wakil Rektor Bidang Inovasi dan Kewirausahaan (WRIM) yang bertujuan sebagai hub dan fasilitator untuk menjembatani inovasi inventor ITB dan kewirausahaan untuk dapat berinteraksi dengan Industri (user) dalam menciptakan nilai (value co-creation) dan komersialiasi teknologi.  Studi ini bertujuan untuk menganalisis dan mengembangkan platform yaitu aplikasi berbasis web yang bisa memfasilitasi interaksi antar pemangku kepentingan yang terlibat dalam aktivitas LPIK secara efektif dan efisien. Aplikasi yang dibuat berdasarkan kebutuhan dari para pengguna yaitu tenan inkubator LPIK dan juga inventor serta industri. Dalam studi ini menggunakan sudut pandang servis sains dalam keseluruhan proses penelitian, mulai dari identifikasi hingga pengembangan solusi dari permasalahan. Metodologi yang dipergunakan dalam studi ini adalah dengan pendekatan kualitatif, yaitu focus group discussion (FGD), survey serta pengolahannya menggunakan metode strategic assumption surfacing dan testing (SAST). Dari hasil dengan SAST diperoleh asumsi yang paling penting dan paling pasti dalam pengembangan IES kedepan yaitu relevansi, artinya informasi yg disediakan pada website IES harus relevan. Kemudian asumsi yang lainnya yang penting dan adalah akurasi, yaitu IES harus memiliki tingkat akurasi aplikasi yang tinggi, kustomisasi (IES harus menyediakan informasi yang menarik, dan tampilan yang familiar), konten (kelengkapan isi dan kualitas informasi web), ketepatan (timeliness, Informasi yang ditampilkan pada website IES tepat waktu dan sifatnya mutakhir), dan kualitas berinteraksi dengan pengelola web IES melalui forum kolaborasi, kemudahan dalam menggunakan IES serta layanannya dan kecepatan dalam menggunakan aplikasi. Untuk asumsi fitur lainnya adalah format yang mampu memberikan informasi sesuai format yang dibutuhkan adalah faktor yang dipertimbangkan dalam mempengaruhi performansi sistem IES.Katakunci: IES (Innovation Entrepreneurship System) , platform, service science, strategic assumption surfacing and testing (SAST), value co-creation 
Incentive mechanism design for citizen reporting application using Stackelberg game I Made Ariya Sanjaya; Suhono Harso Supangkat; Jaka Sembiring; Widya Liana Aji
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 2: April 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i2.pp2147-2157

Abstract

The growing utilization of smartphones equipped with various sensors to collect and analyze information around us highlights a paradigm called mobile crowdsensing. To motivate citizens’ participation in crowdsensing and compensate them for their resources, it is necessary to incentivize the participants for their sensing service. There are several studies that used the Stackelberg game to model the incentive mechanism, however, those studies did not include a budget constraint for limited budget case. Another challenge is to optimize crowdsourcer (government) profit in conducting crowdsensing under the limited budget then allocates the budget to several regional working units that are responsible for the specific city problems. We propose an incentive mechanism for mobile crowdsensing based on several identified incentive parameters using the Stackelberg game model and applied the MOOP (multi-objective optimization problem) to the incentive model in which the participant reputation is taken into account. The evaluation of the proposed incentive model is performed through simulations. The simulation indicated that the result appropriately corresponds to the theoretical properties of the model.
Residential load event detection in NILM using robust cepstrum smoothing based method Nur Iksan; Jaka Sembiring; Nanang Hariyanto; Suhono Harso Supangkat
International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 2: April 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (754.375 KB) | DOI: 10.11591/ijece.v9i2.pp742-752

Abstract

Event detection has an important role in detecting the switching of the state of the appliance in the residential environment. This paper proposed a robust smoothing method for cepstrum estimation using double smoothing i.e. the cepstrum smoothing and local linear regression method. The main problem is to reduce the variance of the home appliance peak signal. In the first step, the cepstrum smoothing method removed the unnecessary quefrency by applying a rectangular window to the cepstrum of the current signal. In the next step, the local regression smoothing weighted data points to be smoothed using robust least squares regression. The result of this research shows the variance of the peak signal is decreased and has a good performance with better accuracy. In noise enviromment, performance prediction quite good with values greater than 0.6 and relatively stable at values above 0.9 on SNR> 25 for single appliances. Furthermore, in multiple appliances, performance prediction quite good at SNR> 20 and begins to decrease in SNR <20 and SNR> 25.
Enhancing Performance in Medical Articles Summarization with Multi-Feature Selection Susetyo Bagas Bhaskoro; Saiful Akbar; Suhono Harso Supangkat
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 4: August 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (600.487 KB) | DOI: 10.11591/ijece.v8i4.pp2299-2309

Abstract

The research aimed at providing an outcome summary of extraordinary events information for public health surveillance systems based on the extraction of online medical articles. The data set used is 7,346 pieces. Characteristics possessed by online medical articles include paragraphs that comprise more than one and the core location of the story or important sentences scattered at the beginning, middle and end of a paragraph. Therefore, this study conducted a summary by maintaining important phrases related to the information of extraordinary events scattered in every paragraph in the medical article online. The summary method used is maximal marginal relevance with an n-best value of 0.7. While the multi feature selection in question is the use of features to improve the performance of the summary system. The first feature selection is the use of title and statistic number of word and noun occurrence, and weighting tf-idf. In addition, other features are word level category in medical content patterns to identify important sentences of each paragraph in the online medical article. The important sentences defined in this study are classified into three categories: core sentence, explanatory sentence, and supporting sentence. The system test in this study was divided into two categories, such as extrinsic and intrinsic test. Extrinsic test is comparing the summary results of the decisions made by the experts with the output resulting from the system. While intrinsic test compared three n-Best weighting value method, feature selection combination, and combined feature selection combination with word level category in medical content. The extrinsic evaluation result was 72%. While intrinsic evaluation result of feature selection combination merger method with word category in medical content was 91,6% for precision, 92,6% for recall and f-measure was 92,2%.
Numerical Method for Evaluating E-Cash Security Dany Eka Saputra; Sarwono Sutikno; Suhono Harso Supangkat
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 6: December 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i6.9811

Abstract

Security evaluations of electronic cash (e-cash) schemes usually produce an abstract result in the form of a logical proof. This paper proposes a new method of security evaluation that produces a quantitative result. The evaluation is done by analyzing the protocol in the scheme using the Markov chain technique. This method calculates the probability of an attack that could be executed perfectly in the scheme’s protocol. As proof of the effectiveness of our evaluation method, we evaluated the security of Chaum’s untraceable electronic cash scheme. The result of our evaluation was compared to the evaluation result from the pi-calculus method. Both methods produced comparable results; and thus, both could be used as alternative methods for evaluating e-cash security.
Information Interchange Layer based on Classification of Information Use (IU) Albarda Albarda; Suhono Harso Supangkat; Kuspriyanto Kuspriyanto; Jaka Sembiring
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 12, No 2: June 2014
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v12i2.70

Abstract

Information characteristics in classification of IU directly related to aspects of information usage by user in enterprise to accomplish their activities. Feature extraction from information usage in three layer of enterprise management used as parameter for this characteristic. Characteristics and dimension applied to develop middle-ware system (called Information Interchange Layer) that bridges a common issue ie information silo, to optimize a services of information resources in enterprise
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
Identifikasi Hubungan Sebab-Akibat pada Artikel Kesehatan menggunakan Anotasi Elemen Medis dan Paragraf Susetyo Bagas Bhaskoro; Saiful Akbar; Suhono Harso Supangkat
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 8 No 2: Mei 2019
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (936.485 KB)

Abstract

This paper studies natural language processing on medical articles in Indonesian that aims to identify causal relationship and used as public health surveillance information monitoring system. This paper proposes selection-feature conformity, phrase annotation, paragraph annotation, and medical element annotation. System performance evaluation is carried out using intrinsic aprroach which compares supervised classification methods, i.e. naive bayes method and HMM. Results obtained for recall, precission, and f-measure are 0.905, 0.924, 0.910 and 0.706, 0.750, 0.720, respectively.
Real-time passenger social distance monitoring with video analytics using deep learning in railway station Iqbal Ahmad Dahlan; Muhammad Bryan Gutomo Putra; Suhono Harso Supangkat; Fadhil Hidayat; Fetty Fitriyanti Lubis; Faqih Hamami
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 2: May 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i2.pp773-784

Abstract

Recently, at the end of December, the world faced a severe problem which is a pandemic that is caused by coronavirus disease. It also must be considered by the railway station's authorities that it must have the capability of reducing the covid transmission risk in the pandemic condition. Like a railway station, public transport plays a vital role in managing the COVID-19 spread because it is a center of public mass transportation that can be associated with the acquisition of infectious diseases. This paper implements social distance monitoring with a YOLOv4 object detection model for crowd monitoring using standard CCTV cameras to track visitors using the DeepSORT algorithm. This paper used CCTV surveillance with the actual implementation in Bandung Railway Station with the accuracy at 96.5 % result on people tracking with tested in real-time processing by using minicomputer Intel(R) Xeon(R) CPU E3-1231 v3 3.40GHz RAM 6 GB around at 18 FPS.
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 Sarwono Sutikno Suryana, Lisandy Arinta Susetyo Bagas Bhaskoro Susetyo Bagas Bhaskoro Widya Liana Aji