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[Sistem Panel Kinerja Untuk Program Studi Sarjana Berbasis BAN PT ]]>
<![CDATA[Utomo, Agus Prasetyo]]>;
<![CDATA[Mustafid, Mustafid]]>;
<![CDATA[Widiyanto, Ibnu]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 3, No 1 (2013): Volume 3 Nomor 1 Tahun 2013 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol3iss1pp13-17
<![CDATA[Study program need to do monitoring and continuously measurements of performance to ensure achievement the goals set of its. The process of performance requires monitoring data and information was taken from all parts of the organization. The purpose of this research is to build a panel system performance (performance dashboard) that can be used to help measure the performance of undergraduate degree courses based on BAN PT in order of quality assurance in higher education. The results of performance monitoring will be delivered to the parties concerned, efficiently and effectively. Panel System (Dashboard) is a tool to present information at a glance. Dashboard inform using Key Performance Indicators (KPI) an effective presentation media. KPIs are used in the construction panel system performance of these courses entirely using the instruments of the National Accreditation of Higher Education. The methodology can be applied either on a case study of the development of dashboards to support the efforts of quality assurance courses at the Stikubank University Semarang. This study emphasizes how the application is to provide easy information to Head of study program, Dean of faculty, Rector and Vice Rector of university to the achievement of the quality of undergraduate study program. Â Keywords: Performance Dashboard; Key Performance Indicators; Accreditation.]]>
<![CDATA[Analisis Prediksi Kebangkrutan Perusahaan Menggunakan Artificial Neural Network Pada Sektor Pertambangan Batubara ]]>
<![CDATA[Nurdini, Rizki Amalia]]>;
<![CDATA[Priyadi, Yudi]]>;
<![CDATA[., Norita]]>
<![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/vol8iss1pp107-114
<![CDATA[Indonesia’s coal mining industry has been decreased since the last five years and causing the financial performance of companies in the industry to deteriorate. The aim of this paper is to analyze the bankruptcy prediction on coal mining sector companies listed in Indonesia Stock Exchange (IDX) in 2012 – 2016 using data mining prediction method that is artificial neural network model with three financial ratios as an input parameter. The financial ratios used are shareholder’s equity ratio, current ratio and return on assets. The results indicate that these ratios are very suitable to be used as an input parameter because it shows a quite significant difference in calculation results between bankrupted and non-bankrupted companies.The ANN training model used in the prediction process in this study resulted in the best training performance with the model architecture of 15 neurons on input layer and one hidden layer with 30 neurons in it. The training model produces training performance with the lowest MSE of 0,000000313 and the highest R of 99,9%. Bankruptcy prediction result using ANN showed that 7 (seven) coal mining sector companies are predicted to be bankrupt]]>
<![CDATA[Sistem Pakar Identifikasi Modalitas Belajar Siswa Dengan Implementasi Algoritma C4.5 ]]>
<![CDATA[Soewono, Rachmawati]]>;
<![CDATA[Gernowo, Rachmat]]>;
<![CDATA[Sasongko, Priyo Sidik]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 4, No 1 (2014): Volume 4 Nomor 1 Tahun 2014 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol4iss1pp20-27
<![CDATA[C4.5 Algorithm is one of the classification technique in machine learning which is used in data mining process by build a decision tree which is represent in the rules. The aims of classification technique in data mining is to recognize the regularity of the pattern and the relation in a huge dataset by historical data collection. Students’ modalities measurement which is done by the questionnaire is produce historical data which is potentially to be processed to generate the classification that can be converted in rules. The expert acquisition and the C4.5 algorithm classification rules are used as knowledge base in the expert system. Therefore this research is done to build an expert system of the student’s modalities identification by implementing C4.5 algorithm that can produce seven categories of modalities classification, they are : visual, auditory, kinesthetic, visual-auditory, visual-kinesthetic, auditory-kinesthetic and visual-auditory-kinesthetic which has good in accuracy. The accuracy of the C4.5 algorithm classification and the expert system testing prediction is 80%. Keywords : Expert system; Decision tree; C4.5 Algorithm; Modalities.  ]]>
<![CDATA[Perancangan Sistem Informasi Konsultasi Akademik Berbasis Website ]]>
<![CDATA[Manuhutu, Melda]]>;
<![CDATA[Wattimena, Juneth]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 9, No 2 (2019): Volume 9 Nomor 2 Tahun 2019 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol9iss2pp149-156
<![CDATA[In this era of modernization, a successful consultation process can increase its efficiency and effectiveness by utilizing information technology that has been successfully developed by the internet. The development of computer technology, encouraged communities and groups to compete to improve the quality of their services in various fields. Awareness of this must also be used by the Higher Education Institution as a student provider. The computerized Academic Consultation System that is used through the internet network is needed to facilitate students to carry out the coaching process together with academic advisors. This system is very easy to control and evaluate as a whole based on the College Leaders or other implementers at the Faculty level. The system development model used in this study is model prototypes and data collected through observation, interviews and literature. The programming language used is PHP and the software interface for designing using Adobe Dreamweaver CS. Making a database using MySQL with the XAMMP application. The system testing was using black box testing and the results found that the system can run well and in accordance with their respective functions.]]>
<![CDATA[Implementasi Metode AHP Dan Promethee Untuk Pemilihan Supplier ]]>
<![CDATA[Chamid, Ahmad Abdul]]>;
<![CDATA[Surarso, Bayu]]>;
<![CDATA[Farikhin, Farikhin]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 5, No 2 (2015): Volume 5 Nomor 2 Tahun 2015 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol5iss2pp128-136
<![CDATA[Selection of suppliers is one of the most important things to meet the needs of the company consistently and at an acceptable cost, decision support system used to select suppliers by identifying suppliers with the highest potential. The object of this study is the drug suppliers. In this study we use four criterias to select suppliers of drugs: drug completeness, price, time delivery, payment or loan term. AHP method is used to calculate the weight of each criterion based on the pharmacist assessment. The weight criterias of the AHP process result is used for the calculation of the alternatives rank. PROMETHEE method used to alternatives calculation analysis that produce alternatives rankings.]]>
<![CDATA[Sistem Informasi Geografis Berbasis Web untuk Pemetaan Sebaran Alumni Menggunakan Metode K-Means ]]>
<![CDATA[Handoko, Slamet Handoko]]>;
<![CDATA[Sediono, Eko]]>;
<![CDATA[Suhartono, Suhartono]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 1, No 2 (2011): Volume 1 Nomor 2 Tahun 2011 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol1iss2pp80-85
<![CDATA[The  graduates  of  State  Polytechnic  of  Semarang  are  not  only  the  member  of  social  community  but  also part  of  State Polytechnic  of Semarang  community  who  have  academic  knowledge  and  special  skills.  Based  on  the  researcher  observation  the  graduates  of  State Polytechnic  of  Semarang  are  not  recorded,  the  management  of  State  Polytechnic  of  Semarang  has  not  provided  a  system  that  can facilitate  the  interaction  between  State  Polytechnic  of  Semarang  and  graduates.  In  this  thesis,  the  system  for  mapping  the  graduates distribution is aimed to measure the level of the  graduates  compliance skill with the competence area of their job. The method of KMeans Clustering is used for grouping the distribution of State Polytechnic of Semarang graduates. Grouping or clustering mechanism in this system is based on four variables. They are  type of company, job classification, working area, and competency of study program. While  the geographical position of graduates is used to filter the data when the users are searching the graduates location in a ce rtain province.  In  this  research  the  cluster  is  divided  into  three,  they  are,  cluster  one:  graduates  have  matching  competence,  cluster  two: graduates have matching enough competence, and cluster three: graduates have no matching competence.Keywords: Clustering;  GIS ;  K-Means]]>
<![CDATA[Verifikasi Suara menggunakan Jaringan Syaraf Tiruan dan Ekstraksi Ciri Mel Frequency Cepstral Coefficient ]]>
<![CDATA[Kurniawan, Andi]]>
<![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/vol7iss1pp32-38
<![CDATA[Voice recording is an important part of the evidence for the suspect, so it is necessary to verify the voice suspects to prove the allegations of the suspect. The research aims to develop a voice verification system using artificial neural networks and extraction characteristics mel frequency cepstral coefficient. As the input data analyzed is the data of the unrecognized voice recorder of the owner and the recorded data of the sound that the owner has known as the comparison data. Data input is processed by feature extraction consisting of framing, windowing, fast Fourier transform, mel frequency wrapping, discrete cosine transform resulting in mel-frequency wrapping coefficient. The mel frequency wrapping coefficient of each frame in each input voice, is used as input on pattern recognition using artificial neural networks. The results of artificial neural networks are analyzed using decision logic to get a decision whether these two voices are the same or not. The output of the system is a decision that the tested sound is the same as or not with a voice comparison. Based on the level of compatibility of the test data produces a voice verification system with mel-frequency wrapping and artificial neural networks have a rate of 96% accuracy. The accuracy of the voice verification system can be an option to help resolve the issues in verification of voice recordings.]]>
<![CDATA[Rancang Bangun Sistem Informasi Pelayanan Kesehatan Berbasis Customer Relationship Management Menggunakan Teknologi Short Message Service (SMS) ]]>
<![CDATA[Sutrisno, Trismianto Asmo Sutrisno]]>;
<![CDATA[Prahasto, Toni]]>;
<![CDATA[Suhartono, Suhartono]]>
<![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/vol2iss3pp160-168
<![CDATA[Recently, there are many hospitals as the health-care services choose to use the concept of Customer Relationship Management (CRM) to build the trust bridges between the hospitals and their patients. The implementation of CRM in health caring, especially for pregnant women needs to do; such as the delivery of information related to the pregnant women to get antenatal care as the scheduled or pregnant women desire to obtain information dealing with their pregnancy. The irrelevant, slow and inaccurate information can cause the health care services given to the patients are not optimal, so that they can reduce patients’ loyalty toward the health-care services. This research resulted health care information system based on Customer Relationship Management using Short Message Service (SMS) technology with case study of health care for pregnant women. The resulted information system is produced by the System Development Life Cycle methodology using the Waterfall model. One of the features produced is the pregnant women will receive a confirmation SMS to obtain antenatal care with a schedule until 28 weeks of their pregnancy check up every four weeks, 28-36 weeks of their pregnancy check up every two weeks, and 36-40 weeks of their pregnancy check up once a week.  Keywords: Pregnant Women, Antenatal Care, Customer Relationship Management, Short Message Service]]>
<![CDATA[Metode Adaptive Neuro Fuzzy Inference System (ANFIS) untuk Prediksi Tingkat Layanan Jalan ]]>
<![CDATA[Azizah, Noor]]>;
<![CDATA[Adi, Kusworo]]>;
<![CDATA[Widodo, Achmad]]>
<![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[Tingkat pelayanan pada suatu jalan menunjukkan ukuran kualitas suatu jalan dan digunakan sebagai ukuran untuk membatasi volume lalu lintas suatu jalan. Tingkat pelayanan jalan yang kurang berdampak pada kemacetan arus lalu lintas dan saat ini merupakan permasalahan yang serius, terlebih di kota metropolitan. Maka perlu dikembangkan sebuah prediksi tingkat layanan jalan dengan menggunakan metode ANFIS (Adaptive Neuro Fuzzy Inference System). Penelitian ini bertujuan untuk membantu dalam proses pengambilan keputusan dan mencari alternatif solusi untuk mengatasi permasalahan kemacetan arus lalu lintas yang terjadi. Pada penelitian ini, metode ANFIS digunakan untuk membangun sebuah prediksi tingkat layanan jalan. Parameter masukan pada proses pembelajaran ANFIS juga sangat mempengaruhi untuk proses prediksi yang akan dilakukan. Adapun parameter inputnya adalah jumlah membership function sebanyak 2, tipe membership function gaussian, error goal 1x10-5, dan nilai epoch 100. Hasil penelitian menunjukkan bahwa metode yang diusulkan dapat digunakan untuk membangun sebuah prediksi tingkat layanan jalan dengan nilai RMSE dan MAPE terbaik yang diperoleh masing-masing adalah 0,0106209 dan 0,93158%.    Kata kunci: ANFIS, Prediksi, Tingkat Layanan Jalan.]]>
<![CDATA[Prototype Software Monitoring Sarana dan Prasarana Perguruan Tinggi ]]>
<![CDATA[Abdillah, Leon A]]>;
<![CDATA[Atika, Linda]]>;
<![CDATA[Kurniawan, Kurniawan]]>;
<![CDATA[Purwaningtias, Fitri]]>
<![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/vol9iss1pp18-24
<![CDATA[This study aims to facilitate the management system of monitoring infrastructure program of university facilities and infrastructure, through software engineering technology approach as an effort to improve productivity and quality of monitoring process become more efficient and effective. The software in this research is built in a systematic and organized approach to monitoring infrastructure of facilities and infrastructure using appropriate tools and techniques. Through this research, universities are expected to be able to develop the necessary quality measures to support the process of planning and controlling infrastructure infrastructure monitoring. The research was conducted using survey method, development of monitoring management and software. Up to the design stage of this program prototype, research has produced a special picture of the software requirements to be built in the next year. Software development process starting from the analysis phase of system and software requirements, designing data structures up to the architecture stage of the program has produced a list of needs/requirements, the design of program prototype contained in the design of input/output for the monitoring process facilities and infrastructure.]]>
