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Perspektif Penerima Pengetahuan untuk Penciptaan Pengetahuan Mahasiswa Fakultas Ilmu Komputer Universitas Sriwijaya Chantika, Trievanni; Ihsan Jambak, Muhammad
The Indonesian Journal of Computer Science Vol. 12 No. 3 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i3.3201

Dalam proses pembelajaran, penciptaan pengetahuan terjadi ketika seorang individu dapat menerima pengetahuan dari individu lain dan dapat menciptakan pengetahuan yang baru. Namun, proses tersebut terkadang tidak berjalan dengan baik, maka dibutuhkan suatu sistem informasi yang sesuai dengan kebutuhan pengguna dengan mengetahui perspektif penerima pengetahuan dalam proses pembelajaran untuk penciptaan pengetahuan. Teori yang mendasari konstruk penelitian ini adalah Model SECI (Sosialisasi, Eksternalisasi, Kombinasi, Internalisasi). Penelitian ini menggunakan metode kuantitatif. Populasi dalam penelitian ini berjumlah 2.666 dan jumlah sampel 348 yang diperoleh menggunakan metode Stratified Random Sampling. Dalam menganalisis data, menggunakan teknik Rasch Model dan software Winstep. Hasil yang diperoleh adalah proses sosialisasi dan kombinasi merupakan faktor yang mempengaruhi penerima pengetahuan karena cenderung lebih mudah dilakukan dan banyak disetujui untuk diterapkan dalam proses pembelajaran.

Faktor-Faktor yang Mempengaruhi Pemilik Pengetahuan dalam Proses Pembelajaran pada Mahasiswa Fakultas Ilmu Komputer Universitas Sriwijaya Dian Apriani, Dian Apriani; Ihsan Jambak, Muhammad
The Indonesian Journal of Computer Science Vol. 12 No. 4 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i4.3203

Dalam proses pembelajaran, penciptaan pengetahuan terjadi ketika seorang individu yang berperan sebagai pemilik pengetahuan dapat menyampaikan pengetahuan yang dimilikinya ke individu lain. Namun, proses tersebut terkadang tidak berjalan dengan baik, sehingga dibutuhkan suatu sistem informasi yang sesuai dengan kebutuhan pengguna sebagai pemilik pengetahuan dengan mengetahui faktor-faktor yang mempengaruhi pemilik pengetahuan dalam menyampaikan pengetahuan pada saat proses pembelajaran. Teori yang mendasari konstruk penelitian ini adalah Model SECI (Sosialisasi, Eksternalisasi, Kombinasi, Internalisasi). Penelitian ini menggunakan metode kuantitatif. Populasi dalam penelitian ini berjumlah 2.666 dan jumlah sampel 348 yang diperoleh menggunakan metode Stratified Random Sampling. Dalam menganalisis data, menggunakan teknik Rasch Model dan software Winstep. Hasil yang diperoleh adalah proses sosialisasi dan internalisasi merupakan faktor yang dapat mempengaruhi mahasiswa sebagai pemilik pengetahuan karena cenderung lebih mudah dilakukan dan banyak disetujui untuk diterapkan.

Capabilities Comparison Of The Augmented Reality Application Development Frameworks On The Android Platform Suryani, Mifta Aprilya; Jambak, Muhammad Ihsan; Putra, Pacu
The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i1.3535

In the implementation of augmented reality, the natural process of human-computer interaction continues to be a challenge, specifically to reduce the complexity in the effort of using and providing comfortability. Therefore, it is necessary to search for methods and tools to simplify the complex process of building Augmented Reality applications. Vuforia is a multi-platform that has long been used as an Augmented Reality application development framework. Android and iOS platform frameworks are the new alternatives following the development of cellular technology. Furthermore, a comparative capability was conducted between Vuforia and ARCore on the Android platform. The general performance and the ability to understand the environment include working in horizontal and vertical planes, the ability to work based on lighting conditions, and the distance of the camera during the tests. The results showed that ARCore is superior to Vuforia in almost all testing metrics. However, in overexposed or too dim lighting and at very close surfaces, Vuforia is slightly superior but not essential. Therefore, it can be concluded that ARCore's capability is better than Vuforia.

The Influence of Optimization of the k-Means Algorithm with Genetic Algorithm on the Results of High Dimension Data Clustering Ramadhana, Yulinda; Jambak, Muhammad Ihsan
The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i1.3634

Clustering k-means begins with the random initial determination of the centroid. Initially generated random centroids often cause k-means to be trapped in the optimum local solution, which results in poor clustering quality. Therefore, this study examined the effect of genetic algorithms in determining initial centroids in k-means. Clustering k-means with random initial centroids and with initial centroids from genetic algorithm calculations are each tested on the data with dimension reduction and without dimension reduction. Based on the results of the initial centroid testing obtained from genetic algorithms, the quality of cluster results increased by 54.9% in the high dimensional data and 52.4% in the data that had been carried out for the dimensional reduction. This result shows that the k-means clustering with initial centroids obtained from genetic algorithm calculations has the best cluster/solution results with significant results.

PENGARUH ANTESEDEN PERILAKU BERBAGI PENGETAHUAN TERHADAP KEUNGGULAN KOMPETITIF ORGANISASI Jambak, Muhammad Ihsan
Journal of Management and Business Review Vol 14, No 2 (2017)
Publisher : Research Center and Case Clearing House PPM School of Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34149/jmbr.v14i2.106

Penelitian ini mengkaji pengaruh anteseden daripada Perilaku Berbagi Pengetahuan yang diyakini dapat menjadi salah satu strategi organisasi dalam mempertahankan keunggulan kompetitif yang dimiliki, khususnya di lingkungan organisasi perguruan tinggi. Keunggulan kompetitif organisasi dapat dibentuk dengan mendayagunakan sumber daya internal yang dimiliki, yaitu modal manusia, dengan membentuk pengetahuan organisasi yang unik dan tidak dapat ditiru melalui kegiatan berbagi pengetahuan. Digunakan metoda penelitian kuantitatif dimana sebaran sampel uji dengan taraf kepercayaan 95 persen, dan pengumpulan datanya menggunakan kuesioner. Sampel dipilih secara acak berjumlah 83 orang dipilih dari dosen dan tenaga kependidikan di lingkungan Fakultas Ilmu Komputer, Universitas Sriwijaya Palembang. Analisis data dilakukan menggunakan teknik Structural Equation Modeling dengan bantuan aplikasi SmartPLS, menunjukkan bahwa hipotesa Perilaku Berbagi Pengetahuan berpengaruh terhadap Keunggulan Kompetitif, hipotesa bahwa Niat dan Sikap Individu, Kepemimpinan, dan Penghargaan berpengaruh terhadap Perilaku Berbagi Pengetahuan juga diterima, namun hipotesa Budaya Organisasi berpengaruh terhadap Perilaku Berbagi Pengetahuan ditolak.This research examines the influences of the antecedents of the knowledge-sharing behavior which is believed to be one of the organization's strategies to sustaining their competitive advantages, especially in the higher education organization. The competitive advantage can be established by empowering internal resources owned by the organization, i.e. human capital, with establishment of organizational knowledge that are unique and inimitable through sharing knowledge activities. Quantitative research method is used, where the sample distribution planned with 95 percent level of confidence, and data collected using quesioners. Samples selected randomly totaled 83 people from lecturers and staffs of the Faculty of Computer Science, University of Sriwijaya, Palembang. The data analyses were conducted using Structural Equation Modeling techniques by the SmartPLS application, which shown the hypothesis that the Knowledge Sharing Behavior influence toward Competitive Advantage is accepted, the hypothesis that the Individual Intention and Attitude, Leadership, and Reward, influence toward Knowledge Sharing Behavior are also accepted, but the hypothesis of Organizational Culture influence toward Knowledge Sharing Behavior is rejected.

PENGARUH ANTESEDEN PERILAKU BERBAGI PENGETAHUAN TERHADAP KEUNGGULAN KOMPETITIF ORGANISASI Jambak, Muhammad Ihsan
Journal of Management and Business Review Vol 14, No 2 (2017)
Publisher : Research Center and Case Clearing House PPM School of Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34149/jmbr.v14i2.106

Penelitian ini mengkaji pengaruh anteseden daripada Perilaku Berbagi Pengetahuan yang diyakini dapat menjadi salah satu strategi organisasi dalam mempertahankan keunggulan kompetitif yang dimiliki, khususnya di lingkungan organisasi perguruan tinggi. Keunggulan kompetitif organisasi dapat dibentuk dengan mendayagunakan sumber daya internal yang dimiliki, yaitu modal manusia, dengan membentuk pengetahuan organisasi yang unik dan tidak dapat ditiru melalui kegiatan berbagi pengetahuan. Digunakan metoda penelitian kuantitatif dimana sebaran sampel uji dengan taraf kepercayaan 95 persen, dan pengumpulan datanya menggunakan kuesioner. Sampel dipilih secara acak berjumlah 83 orang dipilih dari dosen dan tenaga kependidikan di lingkungan Fakultas Ilmu Komputer, Universitas Sriwijaya Palembang. Analisis data dilakukan menggunakan teknik Structural Equation Modeling dengan bantuan aplikasi SmartPLS, menunjukkan bahwa hipotesa Perilaku Berbagi Pengetahuan berpengaruh terhadap Keunggulan Kompetitif, hipotesa bahwa Niat dan Sikap Individu, Kepemimpinan, dan Penghargaan berpengaruh terhadap Perilaku Berbagi Pengetahuan juga diterima, namun hipotesa Budaya Organisasi berpengaruh terhadap Perilaku Berbagi Pengetahuan ditolak.This research examines the influences of the antecedents of the knowledge-sharing behavior which is believed to be one of the organization's strategies to sustaining their competitive advantages, especially in the higher education organization. The competitive advantage can be established by empowering internal resources owned by the organization, i.e. human capital, with establishment of organizational knowledge that are unique and inimitable through sharing knowledge activities. Quantitative research method is used, where the sample distribution planned with 95 percent level of confidence, and data collected using quesioners. Samples selected randomly totaled 83 people from lecturers and staffs of the Faculty of Computer Science, University of Sriwijaya, Palembang. The data analyses were conducted using Structural Equation Modeling techniques by the SmartPLS application, which shown the hypothesis that the Knowledge Sharing Behavior influence toward Competitive Advantage is accepted, the hypothesis that the Individual Intention and Attitude, Leadership, and Reward, influence toward Knowledge Sharing Behavior are also accepted, but the hypothesis of Organizational Culture influence toward Knowledge Sharing Behavior is rejected.

Predictive Analytics for Water Safety: Data Mining and Supervised Learning in Potability Classification Nanda Aulia Sofiah; Fanny Olivia; Jambak, Muhammad Ihsan
The Indonesian Journal of Computer Science Vol. 13 No. 4 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i4.3884

Water is crucial for survival, especially for consumption, yet its quality is under threat due to human-caused pollution. Contaminated water poses serious health risks, including the transfer of diseases transmitted by water. Therefore, assessing water quality is critical for ensuring its safety for consumption. Data mining and supervised machine learning algorithms can help classify water potability, revealing hidden patterns and correlations between water parameters. This study evaluates the effectiveness of K-Nearest Neighbors (KNN), Naïve Bayes, Support Vector Machine (SVM), and Neural Network methods in categorizing a water quality dataset. The evaluation is aimed at selecting the most accurate procedure, as indicated by the highest accuracy rate. Results show that Neural Network exceeds KNN (81%), Naïve Bayes (63%), and SVM (73%), with a 85% accuracy rate. Keywords : Classification, Data Mining, Supervised Machine Learning, Water Potability

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