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INDONESIA
JURNAL SISTEM INFORMASI BISNIS
Published by Universitas Diponegoro
ISSN : 20883587     EISSN : 25022377     DOI : -
Core Subject : Economy, Science,
Computer Science & IT Economics, Econometrics & Finance
JSINBIS merupakan jurnal ilmiah dalam bidang Sistem Informasi bisnis fokus pada Business Intelligence. Sistem informasi bisnis didefinisikan sebagai suatu sistem yang mengintegrasikan teknologi informasi, orang dan bisnis. SINBIS membawa fungsi bisnis bersama informasi untuk membangun saluran komunikasi yang efektif dan berguna untuk membuat keputusan yang tepat waktu dan akurat. Business intelligence sebagai dasar pengembangan dan aplikasi SINBIS menjadi kerangka kerja teknologi informasi yang sangat penting untuk membuat agar organisasi dapat mengelola, mengembangkan dan mengkomunikasikan aset dalam bentuk informasi dan pengetahuan. Dengan demikian SINBIS merupakan kerangka dasar dalam pengembangan perekonomian berbasis pengetahuan.
Arjuna Subject : -
Articles 13 Documents
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Search results for , issue "Vol 14, No 3 (2024): Volume 14 Nomor 3 Tahun 2024" : 13 Documents clear
Model Perencanaan Tata Ruang Wilayah menggunakan Spatial Temporal Autocorrelation (Studi Kasus: Kabupaten Jayawijaya) Kogoya, Waiki Elkius; Prasetyo, Sri Yulianto; Sulistyo, Wiwin
Jurnal Sistem Informasi Bisnis Vol 14, No 3 (2024): Volume 14 Nomor 3 Tahun 2024
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol14iss3pp237-246

Abstract

Jayawijaya Regency faces various challenges in the use of land tenure status in urban planning areas (RTRW). This study focuses on the RTRW Spatial Pattern Plan in Wamena Urban on changes in land tenure with a spatial temporal autocorrelation (STA) approach. The results showed that there were two spatial patterns formed in the Wamena Urban Area, namely cluster patterns and dispersed patterns. Cluster patterns are formed in airports, urban areas, flat woodland agriculture, local protection/LIPI plantations, and river boundaries. Dispersed patterns are formed in community plantations and scrubs, rural settlements, wetland agriculture, slope dryland agriculture, and mining. The results of the analysis showed that cluster patterns in the Airport, Urban, Flat Dryland Agriculture, Local Protection/LIPI Plantations, and River Border areas showed significant changes in land tenure status. Climate change, infrastructure development, and population growth are some of the factors causing these changes. Meanwhile, dispersed patterns in community plantations/shrubs, rural settlements, wetland agriculture, slope dryland agriculture, and mining showed no significant change in land tenure status. This is due to factors such as conflicts over customary rights to land ownership. This study provides an overview of spatial patterns of changes in land tenure status in the Wamena Urban Area. The results of this research can be used as a basis for the formulation of land management policies and strategies in the region.
Kombinasi Modified K-Nearest Neighbor dan Certainty Factor untuk Peningkatan Akurasi Diagnosis Malnutrisi Zati, Hulwani; Eko, Sediyono; Bayu, Surarso
Jurnal Sistem Informasi Bisnis Vol 14, No 3 (2024): Volume 14 Nomor 3 Tahun 2024
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol14iss3pp289-301

Abstract

Malnutrition remains a major public health challenge in low and middle-income countries. This research proposes a method for diagnosing malnutrition diseases by combining Certainty Factor (CF) and Modified K-Nearest Neighbor (MKNN). CF is used to obtain certainty values from the symptoms experienced by patients, while MKNN classifies patient symptom data into specific disease classes based on proximity to the training data. The symptom CF values are combined with the rule CFs to obtain the final CF for each disease. The patient's CF data becomes the testing data, while the disease dataset is the training data. The MKNN technique involves calculating the Euclidean distance, validity, and applying weight voting to identify the class to which the testing data belongs based on the majority class of the k nearest training data. In the test case, CF indicated a tendency towards Kwashiorkor, reinforced by MKNN with the majority of the nearest training data classified as Kwashiorkor. Cross-validation testing with 20 testing data resulted in an accuracy of 95% for the combined CF-MKNN method. The combination of the two methods mutually reinforces and increases the confidence in the diagnosis.
Penilaian Information Technology Service Management Sistem Akademik pada Domain Service Operation dengan Pendekatan Framework ITIL V3 Tarwoto, Tarwoto; Ma'arifah, Windiya; Sarmini, Sarmini
Jurnal Sistem Informasi Bisnis Vol 14, No 3 (2024): Volume 14 Nomor 3 Tahun 2024
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol14iss3pp200-209

Abstract

Information Technology utilization is vital in designing information systems to support business success. Thus, information technology governance becomes very important to produce information systems that are by the vision and mission of higher education institutions. As a technology-based university, Amikom Purwokerto University provides an Academic System to facilitate various academic and non-academic student services. This research was conducted to evaluate the Academic System services of Amikom Purwokerto University with a focus on operational aspects, especially in the Service Operation domain with subdomains request fulfillment process and incident management process. The services provided by the Academic System positively impact students and related parties. Still, there is often a connection failure problem on the server caused by inadequate operations and server overload. This research uses the Information Technology Infrastructure Library Version 3 (ITIL-V3) Framework, specifically the Service Operation subdomain, to assess and improve the maturity level of IT service management. This research found that the Academic System is at level 4 (managed) through maturity level calculations, showing efficiency in work processes and incident handling. By implementing recommended improvements to the request fulfillment and incident management process, this research aims to increase the IT service maturity level towards level 5 (optimized), reflecting the highest level of maturity and excellence. In conclusion, these improvements will deliver maximum value to the business and users, ensuring that Academic Systems executes processes and continues to implement improvements and innovations to remain relevant and high-performing in a dynamic environment.

Page 2 of 2 | Total Record : 13

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