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KEEFEKTIFAN ONLINE KNOWLEDGE SHARING BEHAVIOR (STUDI KASUS: BLENDED LEARNING ITB) Amila, Khuria; Suryadi, Kadarsah
Jurnal Rekayasa Sistem & Industri Vol 1 No 01 (2014): Jurnal Rekayasa Sistem & Industri - Juli 2014
Publisher : School of Industrial and System Engineering, Telkom University

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Penerapan blended learning dapat mengintegrasikan manfaat yang diperoleh dari knowledge management dan e-learning. Pendekatan dengan mengombinasikan interaksi tatap muka dan interaksi online ini idealnya mampu meningkatkan kualitas pembelajaran di perguruan tinggi. Salah satu tantangan dalam penerapan blended learning adalah pelaksanaan online knowledge sharing yang konsisten dan berkesinambungan. Penelitian ini berupaya untuk menemukan cara meningkatkan keefektifan Online Knowledge Sharing Behavior (OKSB). Model OKSB pada penelitian ini mengintegrasikan model Knowledge Sharing Behavior dari Chen dkk. (2009) yang berbasis pada Theory of Planned Behavior dengan model Ma dan Yuen (2010) yang berbasis pada teori pengembangan dan pemeliharaan hubungan sosial. Penelitian ini memandang OKSB dipengaruhi oleh faktor intention, self-efficacy, social interaction, serta faktor kepuasan teknologi. Uji empiris dilakukan dengan melibatkan 110 orang mahasiswa peserta kelas blended learning ITB. Pengolahan data dengan menggunakan metode PLS menunjukkan bahwa social interaction yang terdiri dari perceived online attachment motivation dan perceived online relationship commitment menjadi faktor yang paling mempengaruhi OKSB. Namun, penelitian ini tidak mampu membuktikan bahwa knowledge sharing intention memengaruhi OKSB.

Knowledge Management Design Using Collaborative Knowledge Retrieval Function Suryadi, Kadarsah; Sigit Pramudyo, Cahyono
The Asian Journal of Technology Management (AJTM) Vol 1, No 2 (2008)
Publisher : School of Business and Management Institut Teknologi Bandung

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Knowledge is a key word in the information age. Organizational knowledge provides businesses with a way to compete effectively and efficiently in the market. The performance of many organizations is determined more by their knowledge than their physical assets. Capturing and representing knowledge is critical in knowledge management. The spread of organizational knowledge has made a difficulty in sharing knowledge. This problem creates a longer learning cycle. This research proposes a web based knowledge map, using collaborative knowledge retrieval function, as a tool to represent and share knowledge. First, knowledge map gives a comprehensive understanding about what knowledge is needed to achieve objectives, what knowledge sources are available, and which knowledge sources are used by whom. Second, web facilitates knowledge sharing. Third, collaborative knowledge retrieval function will shorten learning cycle. Fourth, the proposed tool is applied to build a web based knowledge for an academic system in higher education. The result of this research is a design of web based knowledge map using collaborative knowledge retrieval function. Collaborative retrieval knowledge function gives recommendations of relevant knowledge between web documents. The proposed model contributes in shortening the learning cycle.Keywords: Knowledge map, Collaborative retrieval knowledge function, Web, Learning cycle, Knowledge Sharing.

ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PROSES MIGRASI DARI MEDICAL RECORD MENUJU ELECTRONIC MEDICAL RECORD DI RUMAH SAKIT Oktri Mohammad Firdaus; Kadarsah Suryadi; T.M.A. Ari Samadhi; Rajesri Govindaraju
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2011
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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Penelitian ini menjelaskan tentang proses migrasi dari medical record yang berbasis kertas menuju electronicmedical record. Penerapan electronic medical record di negara-negara maju seperti Kanada, Amerika Serikatdan Singapore sudah dapat dikatakan cukup efektif membantu memperbaiki kualitas pelayanan yang diberikanoleh dokter secara pribadi maupun pelayanan rumah sakit secara umum. Selain itu juga penerapan electronicmedical record di negara maju dapat meningkatkan trust baik dari pasien maupun keluarga pasien, sehinggaangka kunjungan rumah sakit di negara tersebut relatif cukup stabil dan menunjukkan peningkatan dari tahunke tahun. Electronic medica record bukan berarti belum diterapkan sama sekali di Indonesia, ada beberaparumah sakit yang sudah mulai menerapkan electronic medical record secara parsial dan masih sangat sedikitrumah sakit yang menerapkan electronic medical record secara komprehensif. Hal tersebut yangmelatarbelakangi penelitian ini dilakukan. Tujuan dari penelitian ini berusaha untuk mengidentifikasi danmenganalisis faktor-faktor yang mempengaruhi proses migrasi dari medical record tradisional menujuelectronic medical record khusus untuk kasus di Indonesia. Metodologi yang digunakan yaitu denganmembandingkan beberapa literatur maupun jurnal yang sebelumnya sudah membahas masalah ini dengan hasilobservasi dan wawancara langsung di beberapa rumah sakit di Indonesia. Hasil akhir dari penelitian ini adalahditemukannya 2 (faktor) tambahan selain dari 8 (delapan) faktor yang telah diungkapkan oleh Boonstra danBroekhuis (2010), yaitu faktor peran pemerintah dan feodalisme dalam proses migrasi dari paper based medicalrecord menuju electronic medical record khususnya untuk kasus di beberapa rumah sakit di Bandung danJakarta.

KEEFEKTIFAN ONLINE KNOWLEDGE SHARING BEHAVIOR (STUDI KASUS: BLENDED LEARNING ITB) Khuria Amila; Kadarsah Suryadi
JRSI (Jurnal Rekayasa Sistem dan Industri) Vol 1 No 01 (2014): Jurnal Rekayasa Sistem & Industri - Juli 2014
Publisher : School of Industrial and System Engineering, Telkom University

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

Penerapan blended learning dapat mengintegrasikan manfaat yang diperoleh dari knowledge management dan e-learning. Pendekatan dengan mengombinasikan interaksi tatap muka dan interaksi online ini idealnya mampu meningkatkan kualitas pembelajaran di perguruan tinggi. Salah satu tantangan dalam penerapan blended learning adalah pelaksanaan online knowledge sharing yang konsisten dan berkesinambungan. Penelitian ini berupaya untuk menemukan cara meningkatkan keefektifan Online Knowledge Sharing Behavior (OKSB). Model OKSB pada penelitian ini mengintegrasikan model Knowledge Sharing Behavior dari Chen dkk. (2009) yang berbasis pada Theory of Planned Behavior dengan model Ma dan Yuen (2010) yang berbasis pada teori pengembangan dan pemeliharaan hubungan sosial. Penelitian ini memandang OKSB dipengaruhi oleh faktor intention, self-efficacy, social interaction, serta faktor kepuasan teknologi. Uji empiris dilakukan dengan melibatkan 110 orang mahasiswa peserta kelas blended learning ITB. Pengolahan data dengan menggunakan metode PLS menunjukkan bahwa social interaction yang terdiri dari perceived online attachment motivation dan perceived online relationship commitment menjadi faktor yang paling mempengaruhi OKSB. Namun, penelitian ini tidak mampu membuktikan bahwa knowledge sharing intention memengaruhi OKSB.

HUBUNGAN KNOWLEDGE SHARING BEHAVIOR DAN INDIVIDUAL INNOVATION CAPABILITY Hilmi Aulawi; Rajesri Govindaraju; Kadarsah Suryadi; Iman Sudirman
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 11 No. 2 (2009): DECEMBER 2009
Publisher : Institute of Research and Community Outreach - Petra Christian University

This paper is based on an idea that employee’s capability to create innovation is a key factor which will determine company’s ability to survive a tough competition. Some researchers argue that employee’s capability to innovate can be enhanced by improving knowledge sharing activities. Through such activities, knowledge can be shared out, implemented, and developed. Additionally, it stimulates employees to think more critically and creatively so as to create advantageously new knowledge. Therefore, the objective of this paper is to analyze a relationship between employee’s behavioral knowledge sharing and individual innovation capability. This research uses a qualitative analysis and employs a case study of two telecommunication companies. Finally, this paper suggests that behavioral knowledge sharing encompasses an essential role in developing individual innovation capability. Abstract in Bahasa Indonesia: Penelitian ini dilatarbelakangi oleh suatu pandangan bahwa kemampuan karyawan untuk selalu menghasilkan inovasi, merupakan faktor kunci bagi suatu perusahaan untuk dapat bertahan dalam kondisi persaingan yang ketat. Beberapa peneliti berpandangan bahwa salah satu upaya yang dipandang efektif dalam meningkatkan kemampuan inovasi karyawan di perusahaan adalah melalui pengembangan aktivitas knowledge sharing (KS), karena melalui aktivitas tersebut, knowledge dapat disebarkan, diimplementasikan dan dikembangkan. Di sisi lain, KS dapat merangsang individu untuk mampu berfikir lebih kritis dan kreatif, sehingga pada akhirnya dapat menghasilkan knowledge baru yang berguna bagi perusahaan. Oleh sebab itu, penelitian ini bertujun untuk menganalisis hubungan antara KS behavior karyawan dengan individual innovation capability. Penelitian menggunakan analisis kualitatif. Melalui case study di dua perusahaan yang bergerak dalam bidang telekomunikasi di Indonesia, diperoleh gambaran bahwa KS behavior berperan dalam mendorong individual innovation capability. Kata kunci: knowledge sharing behavior dan individual innovation capability.

Rancangan Kriteria Sustainability untuk Evaluasi Strategic Supplier di Industri Otomotif X dengan Metode QFD Putri Mety Zalynda; Rajesri Govindaraju; Andi Cakravastia; Kadarsah Suryadi; Bram Andryanto
Journal of Research in Industrial Engineering and Management Vol 1 No 1 (2023): May 2023
Publisher : Program Studi Teknik Industri, Fakultas Teknologi Industri, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61221/jriem.v1i1.7

The strategic supplier evaluation process is a decision-making problem that has many criteria and objectives related to both qualitative and quantitative factors. In the strategic supplier evaluation process, the Quality Function Deployment (QFD) method can translate issues of critical stakeholder needs, starting from conceptual needs into several strategic supplier evaluation criteria that can be used as a reference. One of the most important pieces of information is that by using the QFD method, the weight of the evaluation criteria is derived from the ranking of the importance of stakeholder needs together with the weight of the relationship between stakeholder requirements and evaluation criteria. According to the results of the literature study, most previous studies used economic criteria with a single stakeholder. This research will use sustainability criteria with multi-stakeholders. This research will design the selection of sustainability criteria for evaluating strategic suppliers for the PT X automotive industry in Indonesia using the QFD method. The results of the second House of Quality (HOQ) from QFD, are twenty sustainability criteria for evaluating strategic suppliers for the automotive industry.

Analisis Sentimen Data Ulasan Pengguna MyPertamina di Twitter dengan Metode Text Mining Hutabarat, Andita Widya Valencia; Adnyani, Ni Luh Saddhwi Saraswati; Suryadi, Kadarsah
Jurnal Rekayasa Sistem Industri Vol. 13 No. 1 (2024): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26593/jrsi.v13i1.6958.145-154

To ensure that the distribution process of subsidized fuel is more well-targeted, PT Pertamina has developed an application called MyPertamina. The increasing number of MyPertamina users has led to an increasing number of reviews related to the use of MyPertamina. Reviews of MyPertamina fill various social media channels, including Twitter. However, the analysis of user perceptions through social media has not been optimal. Therefore, a better user sentiment mapping is needed. This study was conducted to answer this need by building a text mining model and designing a prototype that can extract and analyze sentiments from tweets related to MyPertamina. This research adopts the CRISP-DM methodology, which consists of business understanding, data understanding, data preparation, modeling, evaluation, and deployment. The data obtained for model development reached 6,920 tweet data. Each data was classified into one of three sentiment categories, namely positive, negative, and neutral. After data preparation, 2,057 data were used for model development. The models tested in this study consist of Support Vector Machine (SVM), Multinomial Naïve Bayes, Gaussian Naïve Bayes, Long Short-Term Memory (LSTM), and Bidirectional Long Short-Term Memory (Bi-LSTM) algorithms. The model that produced the best evaluation score and was selected for prototype development is the SVM model with an accuracy score of 83.74%, weighted precision of 83.96%, weighted recall of 83.74%, and weighted F1-score of 83.72%. The prototype is used for extracting and predicting sentiment for new datasets, which can then be visualized in the form of graphs and word clouds according to the user's needs.

Pembangunan Model Pendeteksi Risiko Preeklamsia pada Ibu Hamil dengan Menggunakan Metode Data Mining Ilham, Muhammad; Adnyani, Ni Luh Saddhwi Saraswati; Suryadi, Kadarsah
Jurnal Teknik: Media Pengembangan Ilmu dan Aplikasi Teknik Vol 23 No 1 (2024): Jurnal Teknik - Media Pengembangan Ilmu dan Aplikasi Teknik
Publisher : Fakultas Teknik - Universitas Jenderal Achmad Yani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55893/jt.vol23no1.543

Preeclampsia is a pregnancy complication indicated by an increase in blood pressure that occurs after 20 weeks of gestation and the presence of protein in the urine. If not treated quickly, preeclampsia can lead to maternal and fetal death. Therefore, a method that can help health workers to provide early detection of preeclampsia is needed. One method that can be used is data mining. This study was conducted with the aim of developing a model based on data mining methods that can be used as a tool to identify patients with preeclampsia and also to identify associated risk factors. This study was conducted using six data mining classification algorithms on 109 obstetric clinic patient data at the Jakarta Pondok Kopi Islamic Hospital (RSIJPK). The input features used as preeclampsia detection attributes were obtained based on the results of a literature study and consultations with obstetricians. Based on the results of the model evaluation, logistic regression has the best performance in detecting preeclampsia with accuracy value of 98% and precision level of 100%. In addition, this study also designed an application prototype that can be used by health workers to quickly detect the risk of preeclampsia in pregnant women.

Sustainability Balance Scorecard: Literature Review and Clustering of Performance Indicator Trisyulianti, Erlin; Suryadi, Kadarsah; Prihantoro, Budi
Jurnal Manajemen dan Organisasi Vol. 15 No. 4 (2024): Jurnal Manajemen dan Organisasi
Publisher : IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jmo.v15i4.61691

Answering the challenges of sustainable development, companies require an integrated approach to performance management in economic, social, and environmental aspects. This approach is not only profit-oriented but also addresses the needs of human welfare, social, and environmental concern. The approach also includes the ability to link strategy with action. Therefore, it is important to apply the sustainability Balanced Scorecard (SBSC) in performance management. The research aims to study the development of SBSC studies for the last decade. A systematic literature review has been conducted to identify, evaluate, and interpret SBSC based on previous research. The results described publication map, the taxonomy of research, and meta-analysis of SBSC performance indicators.

Energy Consumption Model Based on User Behavior to Support Solar Panel Selection: Case Study of Dental Clinic Firdaus, Rifki; Suryadi, Kadarsah
The Asian Journal of Technology Management (AJTM) Vol. 17 No. 3 (2024)
Publisher : Unit Research and Knowledge, School of Business and Management, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12695/ajtm.2024.17.3.4

Abstract. Electricity consumption continues to rise alongside population growth and infrastructure development. Unfortunately, the majority of energy consumption is still reliant on fossil fuels. Commercial buildings and residences are major contributors to electricity consumption, accounting for 63.04% of the total usage. In the healthcare sector, clinics and hospitals also require significant electrical energy, contributing to a 21% rise in national electricity demand. Additionally, occupants' behavior influences electricity consumption by 30%. Faced with these challenges, the use of renewable energy, such as solar power, holds great potential for providing sustainable energy. This research aims to simulate energy consumption to aid in the selection of solar panel technology, considering occupant behavior. By understanding accurate electricity consumption, solar panels that meet the needs can be chosen to ensure long-term sustainability. Simulation of electricity consumption using dynamic system methods is performed to acquire daily electricity consumption data, a critical criterion in solar panel selection. The study's results indicate that user behavior in utilizing electrical appliances significantly impacts overall energy consumption. The study implies the importance of understanding behavior to properly recognize actual electricity consumption. Keywords: Energy consumption, simulation, system dynamic, user behaviour.

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