JURNAL SISTEM INFORMASI BISNIS
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.
Articles
410 Documents
<![CDATA[Performance Dashboard pada Rumah Sakit Islam ]]>
<![CDATA[Sungkar, Irfan Ismail]]>;
<![CDATA[Mustafid, Mustafid]]>;
<![CDATA[Widiyanto, Ibnu]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 1, No 3 (2011): Volume 1 Nomor 3 Tahun 2011 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol1iss3pp123-128
<![CDATA[Dashboard  sebagai  sarana  visualisasi  sederhana  tentang  indikator,  indikator  inilah  yang  diukur  kedalam  sebuah  satuan  yang  di visualisasikan dalam bentuk gambar dan angka. Dalam pembangunan aplikasi  performance  dashboard pada RSUI Harapan Anda Tegal akan  di  kaji  berdasarkan  KPI  (Key  Performance  Indicator)  menurut  pengukuran  kinerja  Balanced  Scorecard  yang  dikembangkan menjadi beberapa perspektif diantaranya Perspektif Keuangan, Perspektif Pelanggan, Perspekif Mutu Proses, Perspektif Lingkungan dan Perspekif Pengembangan SDM. Dengan adanya  performance dashboard  yang dtujukan kepada  strategic level  maka dapat  membantu dalam  pengambilan  keputusan  dengan  ditampilkan  indikator-indikator  tersebut  dalam  warna  merah,  kuning,  hijau.  Dengan  indikator tersebut maka level strategic dapat mengambil keputusan yang berkaitan dengan inisiatif strategi.Kata kunci : Dashboad; KPI; Business Intelegent; Balanced Scorecard]]>
<![CDATA[Penerapan Metode Economical Order Quantity Untuk Sistem Stok Barang Penggudangan dengan menggunakan teknologi Radio Frequency Identification ]]>
<![CDATA[Istanto, Teddy]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 7, No 1 (2017): Volume 7 Nomor 1 Tahun 2017 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol7iss1pp59-65
<![CDATA[The application of Economical Order Quantity method to stock warehouse system by using Radio Frequency Identification technology can provide information that can minimize stock availability in real time. The research aims to develop the stock system using the methods of Economical Order Quantity, Reorder Point and Radio Frequency Identification technology. Computation of Economical Order Quantity is used per month with variables covering amount of raw material, ordering cost and storage cost. Reorder Point computation using lead time variable, raw material usage and safety stock. Safety stock is used if there is a delay in delivery of goods from suppliers, so it does not run out of raw materials and the company can still operate. The inventory data is obtained from transactions of incoming and outgoing goods which are recorded automatically when passing through Radio Frequency Identification reader. The computation of Economical Order Quantity, Reorder Point produces safety stock as output stock system. With the stock of goods in accordance with the fulfillment of Safety stock, then there is no delay in the delivery of goods from suppliers, so it does not run out of raw materials, after determination of the value of re-ordering.]]>
<![CDATA[Sistem Informasi untuk Transaksi dan Analisis Inventori ]]>
<![CDATA[Damayanti, Cynthia]]>;
<![CDATA[Mustafid, Mustafid]]>;
<![CDATA[Sarwoko, Eko Adi]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 1, No 1 (2011): Volume 1 Nomor 1 Tahun 2011 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol1iss1pp9-15
<![CDATA[This research aim to developed an inventory information system which integrated convensional data records with an analysis system based on inventory theories to answer questions about supplying stock, i.e. the latest inventory counts, prediction of future sales, when to order supply and how much to order these supply. In this research, purchasing and selling data records that usually seperated, had been integrated into an inventory database so up to date inventory list can be shown at demand. Furthermore, with data of past time sales, system will predict future sales using Least Square Linear Regretion method and Moving Average method. Inventory analysis will determine the Economic Order Quantity and Reorder Cycles for single item and multi item. An early warning also will notify user when an item reach the reorder point. This information system software that can be used to answer similar inventory problems in retail or warehouse company. As addition, research shown that sales with increasing/decreasing pattern had a more accurate prediction using Linear Regretion, while Moving Averages are better for stable sales. Research also shown multi items order collectively for the same supplyer more cost beneficial rather than single item orders.]]>
<![CDATA[Pencarian Informasi Berbasis Ontologi Menggunakan Semantik Indexing Pada Website Jejaring sosial ]]>
<![CDATA[Henry, Christian Lilik]]>;
<![CDATA[Sediyono, Eko]]>;
<![CDATA[Suhartono, Suhartono]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 3, No 3 (2013): Volume 3 Nomor 3 Tahun 2013 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol3iss3pp
<![CDATA[Pada penelitian ini telah dibangun kerangka ontologi untuk domain travel and tourism menggunakan sumber data dari twitter. Sebuah crawler telah dibangun untuk mengambil data dari twitter. Penelitian ini didasarkan adanya jumlah informasi yang cukup banyak pada twitter namun informasi tersebut cukup singkat sehingga ketika melakukan pencarian informasi, hasilnya kurang relevan. Dengan pembangunan ontologi, tujuan yang ingin dicapai adalah hasil pencarian yang lebih relevan karena knowledge dari informasinya telah diperluas. Terdapat tiga tahap yang dilakukan dalam penelitian ini yaitu pembangunan crawler, pembangunan ontologi dan evaluasi dengan mesin pencari Solr server. Metode yang digunakan dalam pembangunan ontologi adalah kombinasi pendekatan top-down dan bottom-up. Pada tahap evaluasi digunakan perhitungan nilai average precission untuk menghitung tingkat akurasi hasil pencarian. Hasil penelitian ini adalah sebuah aplikasi crawler untuk mengambil data dari twitter, sebuah kerangka ontologi untuk domain travel and tourism, dan didapatkan hasil evaluasi pencarian data. Telah didapatkan nilai mean average precission dari data sederhana hasil crawler sebesar 36,60% dan pada data ontologi sebesar 91,50%. Hasil tersebut menunjukkan bahwa akurasi pada data ontologi lebih baik dari data sederhana hasil crawler. Kerangka ontologi ini dapat dikembangkan untuk cakupan domain yang lebih luas, dan aplikasi crawler juga dapat dikembangkan untuk dapat mengambil sumber data lainnya. Kata kunci : Ontologi, Semantik, Social Media, Pencarian, Indexing]]>
<![CDATA[Pengembangan Model Keberlanjutan e-filing di Palembang Menggunakan Partial Least Square Structural Equation Models (PLS-SEM) ]]>
<![CDATA[Saluza, Imelda]]>;
<![CDATA[Sartika, Dewi]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 9, No 1 (2019): Volume 9 Nomor 1 Tahun 2019 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol9iss1pp94-102
<![CDATA[DGT (Directorate General of Taxation) continues to optimize the collection of annual tax returns by facilitating technology-based tax service systems, one of which is e-filing that has been running since 2016. However, e-filing turned out to have less influence on the delivery of annual tax returns as reflected in the electronic annual tax returns monitoring data that only met 78% of the 2017 target. This is caused by various problems that arise during the use of e-filing such as individual technology capabilities, loss of efin, forgetting DGT Online account passwords to lack of awareness about the importance of submitting annual tax returns. Problems encounter during the use of e-filing are the basis for evaluating the continued use of e-filing in Palembang. The development of a conceptual model was conducted to evaluate the sustainability of the use of e-filing. The development of a conceptual model basically has a scarcity of supporting theories used and has a complex model. To overcome this problem, Partial Least Squares (PLS) Structural Equation Model (SEM) could be applied to. The results of data analysis found that information quality and service quality did not have a positive influence on the sustainability of the use of e-filing and the level of correlation between information quality, system quality, service quality, and individual ability was still small towards the sustainability of the use of e-filing. It could be concluded that the quality of information and service provided by DGT has the opposite effect that does not even influance the sustainability of e-filing usage. However, the quality of the system and the ability of individuals to give effect to e-filing usage in reporting in reporting annual tax returns. Therefore, DGT is expected to improve the quality of the system of e-filing expecially in the function of e-filing, ease of use, usefullness of e-filing in reporting annual tax return. In additory it is necessary to carry out socialization and training on e-filing to improve the ability of individuals to report online their annual tax report. The findings of this research are very important for the Tax office in Palembang to analyze the sustainability of the use of e-filing that has been proven empirically, multidimensional and in a specific context. The result of the study could be used as a reference to improve overall quality of taxation for the sake of sustainable use of e-filing. ]]>
<![CDATA[Pengembangan Sistem Informasi Untuk Menentukan Prioritas Pemberian Kredit dengan Metode Promethee ]]>
<![CDATA[Sujarwo, Sujarwo]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 5, No 1 (2015): Volume 5 Nomor 1 Tahun 2015 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol5iss1pp47-51
<![CDATA[This study develops an information system for decision-making on priority lending and introduce new information into the decision-making process resulting in the selection process more realistic.The method used in this research method PROMETHEE "Preference Ranking Organization Method for Enrichment Evaluation" is used in a decision support system for its simplicity, clarity, and stability with the assessment of several alternative criteria for determining the order of decision making (priority) in the multicriteria analysis. After that, compared with the manual calculation of the bank. This method can be applied to all types of decision-making problems with heterogeneous information and multigranular. The result of this study is that the information system built to produce a ranking as follows: A prospective customers rank 1, C rank 2, B rank 3, E rank 4, D rank 5, and F rank 6, then compared that with the manual there is a difference ranking ranking which puts prospective customers in rank F 4 which turns the loan installment payments problems occur. Keywords: Promethee; Rank; Decision Making System.]]>
<![CDATA[Implementasi Fuzzy Model Tahani Untuk Perancangan Sistem Pendukung Keputusan Penerimaan Taruna Baru ]]>
<![CDATA[Hidayat, Eko Hidayat]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 5, No 1 (2015): Volume 5 Nomor 1 Tahun 2015 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol5iss1pp63-71
<![CDATA[In this research, a decision support system design had been done by using  Fuzzy database of Tahani Model, to know the excess of Fuzzy Tahani Model in a support system design of new cadets’ admission decision. The designed system was by the sequence of data input Fuzzy or non Fuzzy, the representation of membership function on each variable input Fuzzy, the process of Fuzzification on each variable into each Fuzzy set, the use of Zadeh basic operator to operate the Fuzzy set until give a recommendation. The result showed that the built system could give recommendation to support the decision of selected cadets based on the input criteria given. The excess of this system was on the flexibility of giving recommendation. The compatability of accepted cadets’ candidate with the recommendation of given system was 66.96%, due to the management strategis interest. Keywords : Fuzzy Database; New Cadet’s Admission; Decision Support Systems]]>
<![CDATA[Penentuan Prioritas Perbaikan Jalan Berbasis Metode Analytic Network Process Sebagai Komponen Menuju Kota Cerdas ]]>
<![CDATA[Wahyul Amien Syafei]]>;
<![CDATA[Kusnadi Kusnadi]]>;
<![CDATA[Bayu Surarso]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 2 (2016): Volume 6 Nomor 2 Tahun 2016 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol6iss2pp105-113
<![CDATA[Smart city become a demand for people to live in more comfort and easier. Knowledge is needed in every decision support system in smart city. This paper presents a research in determining the priority order of road handling based on level of service by using Analytic Network Process which is implemented into decision support systems as a component toward smart city. Variables used refers to the Highway Capacity Manual Indonesia based on the volume of traffic and the road characteristic data. Analytic Network Process is used because of its advantages in conducting multi-criteria assessment on the basis of the subjective judgment of decision makers and can combine quantitative and qualitative data. From the results of the validation test between the system output and outcome data field issued by Dishubinkom Cirebon, the accuracy of the test results of 10 streets in the city of Cirebon with validation test Spearman Rank correlation is equal to 0.867. The results showed Analytic Network Process can be implemented and an appropriate solution in determining the road handling priority.]]>
<![CDATA[Enterprise Architecture Planning Untuk Pengembangan Sistem Informasi Perguruan Tinggi ]]>
<![CDATA[Khairina, Dyna Marisa]]>;
<![CDATA[Mustafid, Mustafid]]>;
<![CDATA[Noranita, Beta]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 2, No 3 (2012): Volume 2 Nomor 3 Tahun 2012 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol2iss3pp117-123
<![CDATA[In the development of the information system needed a plan that will complement the university's strategic direction. Planning process utilizing enterprise architecture planning methodologies that produce a conceptual model of the enterprise architecture that includes data architecture, application and technology. This research aim to make enterprise architecture planning a conceptual model of the enterprise architecture as a high-level blueprint for data, applications and technology. Conceptual model enterprise architecture generated can be used as a blueprint for data, applications and technology in the development of information systems. Results of the blueprint enterprise became architecture planning for the needs of the data, estimates of technology platforms and applications as well as other things that are needed in the development of an integrated information system in university. Â Keywords:Â Enterprise architecture planning; Data architecture; Application architecture; Technology architecture]]>
<![CDATA[Deteksi dan Penggolongan Kendaraan dengan Kalman Filter dan Model Gaussian di Jalan Tol ]]>
<![CDATA[Waliulu, Raditya Faisal]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 8, No 1 (2018): Volume 8 Nomor 1 Tahun 2018 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol8iss1pp1-8
<![CDATA[Monitoring systems are widely implemented in various sectors aimed at improving the security and productivity aspects. The research aims to detect moving objects in the form of video file tipefile (* .avi) 640x480 resolution and image class according to pixel area. Moving objects are given in the Region of Interest path for easy detection. Detection on moving objects using methods of Kalman filter and gaussian mixture model. There are two types of distribution, the distribution of Background and Foreground. The form of the Foreground distribution is filtered using Bit Large Object segmentation to obtain the dimensions of the vehicle and morphological operations. The feature extraction results from the vehicle are used for vehicle classification based on pixel dimension. Segmentation results are used by Kalman Filter to calculate the tracking of moving object positions. If the Bit Large Object segmentation is not found moving object, then it is continued on the next frame. The final results of system detection are calculated using Positive True validation, True Negative, False Positive, and False Negative by looking for the sensitivity and specificity of each morning, day and night conditions]]>
