Articles
Perancangan Web Komersial dan Analisis Pengaruhnya Pada UMKM Makanan Kabupaten Boyolali Terhadap Transaksi Penjualan
Budyastomo, Avin Wimar;
Sediyono, Eko
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 2, No 1 (2012): Volume 2 Nomor 1 Tahun 2012
Publisher : Universitas Diponegoro
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DOI: 10.21456/vol2iss1pp043-051
Penelitian berupa pemanfaatan internet atau web komersial di lingkungan UMKM Boyolali untuk memasarkan produknya menarik dan perlu untuk diteliti. Dengan sinyalemen bahwa melalui web komersial pelaku UMKM semakin kreatif mengembangkan deversifikasi usahanya dan tidak hanya menembus pasar lokal tetapi juga pasar internasional. Tujuan dari penelitian ini adalah untuk merancang sistem informasi berbasis web berwujud web komersial untuk UMKM dan menganalisis pengaruh web komersial terhadap pendapatan, biaya pemasaran dan transaksi penjualannya. Untuk mengukur pengaruh web komersial, digunakan analisis perhitungan dengan menggunakan paired samples test. Hasil yang diperoleh dari penelitian ini dengan menggunakan paired samples test adalah ada peningkatan yang positif terhadap pendapatan sebesar 9,1 % dan penurunan biaya pemasaran sebesar 48,3 %. Sehingga dapat disimpulkan bahwa penggunaan web komersial membawa pengaruh yang positif terhadap pendapatan, biaya pemasaran dan transaksi penjualan UMKM makanan di kabupaten Boyolali. Â Keywords: Paired samples test; UMKM; Web Komersial
Analisis Penerimaan Teknologi E-retribusi Pasar dengan Pendekatan Theory of Reasoned Action
Magdalena, Maria;
Sediyono, Eko;
Marwata, Marwata
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 8, No 2 (2018): Volume 8 Nomor 2 Tahun 2018
Publisher : Universitas Diponegoro
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DOI: 10.21456/vol8iss2pp174-180
The Trade Service The Salatiga City Government applies non-cash market retribution (market e-retribution) in improving the quality of services that are transparent and accountable in traditional markets. Given that there has been no research discussing the acceptance of market e-retribution technology, this issue can be an interesting topic to study. Theory of Reasoned Action (TRA) is used as a conceptual model in this study with the aim of investigating the factors that influence the acceptance of market e-retribution technology in traditional market traders in the city of Salatiga. The results of this study indicate that perceptions of usefulness, perception of self-efficacy and subjective norms have a positive effect, but are not statistically significant, while perceptions of compatibility and attitude have a positive and statistically significant effect
Pencarian Informasi Berbasis Ontologi Menggunakan Semantik Indexing Pada Website Jejaring sosial
Henry, Christian Lilik;
Sediyono, Eko;
Suhartono, Suhartono
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 3, No 3 (2013): Volume 3 Nomor 3 Tahun 2013
Publisher : Universitas Diponegoro
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DOI: 10.21456/vol3iss3pp
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
Desain Sistem Keamanan Distribusi Data Dengan Menerapkan XML Encryption Dan XML Signature Berbasis Teknologi Web Service
Widodo, Slamet;
Eko Sediyono, Eko;
Suhartono, Suhartono
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 1, No 1 (2011): Volume 1 Nomor 1 Tahun 2011
Publisher : Universitas Diponegoro
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DOI: 10.21456/vol1iss1pp47-57
Development of information technologies is often misused by an organization or a person to take criminal acts, such as the ability to steal and modify information in the data distribution for evil criminal purpose. The Rural Bank of Boyolali is conducting online financial transactions rather intensively, thus it requiring a security system on the distribution of data and credit transactions for their customer among branches offices to head office. The purpose of this study was to build a security system in credit transactions in Rural Bank of Boyolali for their customers among branches offices to head office. One way in protecting data distribution was used XML encryption and XML signature. The application of encryption technique in XML and digital signature in XML by using web service by using the AES (Advanced Encryption Standard) and RSA (Rivest-Shamir-Adleman) algorithms. This study was resulted the SOAP (Simple Object Access Protocol) message security system, with XML and WSDL (Web Services Description Language), over HTTP (Hypertext Transfer Protocol) to protect the customers’ credit transactions from intruders. Analysis of examination indicated that the data size (bytes) transferred as results of uncompressed XML encryption were larger than compressed XML Encryption, which leads to significant changes between the data transferred that was the processing time of the compressed data was faster than uncompressed XML encryption.
Implementasi Metode Association Rule untuk Menganalisis Data Twitter tentang Badan Penyelenggara Jaminan Sosial dengan Algoritma Frequent Pattern-Growth
Tamaela, Jemaictry;
Sediyono, Eko;
Setiawan, Adi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 8, No 1 (2018): Volume 8 Nomor 1 Tahun 2018
Publisher : Universitas Diponegoro
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DOI: 10.21456/vol8iss1pp25-33
BPJS services cannot be separated from criticism and complaints of the people in Indonesia. Twitter is one of the social media choose to share experiences related to things about BPJS. The information that is shared can be processed to gain new knowledge (knowledge discovery), which is related to public opinion about BPJS. Tweets collected from the national BJPS twitter are divided into words, then, specified words can be used as items to form the itemset. The association rule technique with the FP-Growth algorithm that is implemented in the application can process text data from Twitter to form the item set. Each item set contains a collection of tweets that are responses and the opinion of the community about an event or phenomenon related to BPJS services. The tree structure of FP-Growth simplifies the process of the validation because it can track and display the frequency of occurrence of each word and itemset, before and after branch pruning which is not included in the support value. The OSM API integration with the application in this study provides visual information about where the tweet comes from, so it can be used to generate itemset from a collection of tweets from a particular region.
Studi Inferensi Fuzzy Tsukamoto Untuk Penentuan Faktor Pembebanan Trafo PLN
Thamrin, Fanoeel;
Sediyono, Eko;
Suhartono, Suhartono
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 2, No 1 (2012): Volume 2 Nomor 1 Tahun 2012
Publisher : Universitas Diponegoro
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DOI: 10.21456/vol2iss1pp001-005
One  of  the  strategic  components  of  the  power  system  is  the  transformer.  Disruption  of  the  transformer  can  cause  the  transformer  to burning  and the  transformer  performance to decrease.  Therefore,  in this case  maintenance  and  detection of  damage to  the transformerneeds to  be done regularly  so that  the transformer  can  work within the  period of  maximum  usage. But,  the problem  is the  substantial costs  required  to  ask for  an expert  in  transformer  maintenance  and  inspection  on a regular basis.  Based on  these  issues  it  is necessary to develop software with capabilities equal or close to an expert diagnosis of a transformer with high accuracy and speed of maintenance ontransformers  before  irreparable  damage.  Application  of  expert  system  with  fuzzy  inference  Tsukamoto  for  PT.  PLN  transformer maintenance is an expert system used to detect other types  of disturbances in PT PLN distribution transformers so that maintenance can be performed in accordance with the type of damage or disturbance that occurred in the transformer. This application is equipped with transformer  loading  calculation,  an  imbalance  of  load  on  trafo.  Input  variables  used  in  determining  transformer  loading  and  load imbalance on the current transformer is rated at each phase transformer, the voltage of each phase, power factor and the tra nsformer capacity.Keywords : Expert System,  Fuzzy Tsukamoto, Transformers Maintenance
Studi Inferensi Fuzzy Tsukamoto Untuk Penentuan Faktor Pembebanan Trafo PLN
Thamrin, Fanoeel;
Sediyono, Eko;
Suhartono, Suhartono
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 2, No 1 (2012): Volume 2 Nomor 1 Tahun 2012
Publisher : Universitas Diponegoro
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DOI: 10.21456/vol2iss1pp001-005
One  of  the  strategic  components  of  the  power  system  is  the  transformer.  Disruption  of  the  transformer  can  cause  the  transformer  to burning  and the  transformer  performance to decrease.  Therefore,  in this case  maintenance  and  detection of  damage to  the transformerneeds to  be done regularly  so that  the transformer  can  work within the  period of  maximum  usage. But,  the problem  is the  substantial costs  required  to  ask for  an expert  in  transformer  maintenance  and  inspection  on a regular basis.  Based on  these  issues  it  is necessary to develop software with capabilities equal or close to an expert diagnosis of a transformer with high accuracy and speed of maintenance ontransformers  before  irreparable  damage.  Application  of  expert  system  with  fuzzy  inference  Tsukamoto  for  PT.  PLN  transformer maintenance is an expert system used to detect other types  of disturbances in PT PLN distribution transformers so that maintenance can be performed in accordance with the type of damage or disturbance that occurred in the transformer. This application is equipped with transformer  loading  calculation,  an  imbalance  of  load  on  trafo.  Input  variables  used  in  determining  transformer  loading  and  load imbalance on the current transformer is rated at each phase transformer, the voltage of each phase, power factor and the tra nsformer capacity.Keywords : Expert System,  Fuzzy Tsukamoto, Transformers Maintenance
Studi Inferensi Fuzzy Tsukamoto Untuk Penentuan Faktor Pembebanan Trafo PLN
Thamrin, Fanoeel;
Sediyono, Eko;
Suhartono, Suhartono
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 2, No 1 (2012): Volume 2 Nomor 1 Tahun 2012
Publisher : Universitas Diponegoro
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DOI: 10.21456/vol2iss1pp001-005
One  of  the  strategic  components  of  the  power  system  is  the  transformer.  Disruption  of  the  transformer  can  cause  the  transformer  to burning  and the  transformer  performance to decrease.  Therefore,  in this case  maintenance  and  detection of  damage to  the transformerneeds to  be done regularly  so that  the transformer  can  work within the  period of  maximum  usage. But,  the problem  is the  substantial costs  required  to  ask for  an expert  in  transformer  maintenance  and  inspection  on a regular basis.  Based on  these  issues  it  is necessary to develop software with capabilities equal or close to an expert diagnosis of a transformer with high accuracy and speed of maintenance ontransformers  before  irreparable  damage.  Application  of  expert  system  with  fuzzy  inference  Tsukamoto  for  PT.  PLN  transformer maintenance is an expert system used to detect other types  of disturbances in PT PLN distribution transformers so that maintenance can be performed in accordance with the type of damage or disturbance that occurred in the transformer. This application is equipped with transformer  loading  calculation,  an  imbalance  of  load  on  trafo.  Input  variables  used  in  determining  transformer  loading  and  load imbalance on the current transformer is rated at each phase transformer, the voltage of each phase, power factor and the tra nsformer capacity.Keywords : Expert System,  Fuzzy Tsukamoto, Transformers Maintenance
Sistem Informasi Manajemen Rantai Pasok Pariwisata Untuk Pembuatan Produk Wisata Pada Agen Tour dan Travel dengan Analisis Swot dan Metode Analytic Network Process )
Kusumawardani, Dwi Mustika;
Sediyono, Eko
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 2 (2016): Volume 6 Nomor 2 Tahun 2016
Publisher : Universitas Diponegoro
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DOI: 10.21456/vol6iss2pp177-185
The development of services company in tourism is increasing. Therefore each tour & travel agent should be able to improve the quality of attractive and competitive products. This research builds a system analysis of supply chain management in the manufacturing of tour packages with SWOT analysis and Analytic Network Process (ANP). SWOT analysis is one way to decide marketing strategy for the company to able to face global competition. In this study, a SWOT analysis is used to select the best suppliers in tourism sector. Suppliers include: hotels, restaurants, attractions and accommodations. Combination of the best suppliers used as in one product of tour package. While the method of Analytic Network Process is used to rank the tour package has been obtained previously. In addition, this method is applied because it can provide information about the most influential of criteria in making tour package. This method conducted by looking at dependency relationship between among criteria. Then give them weight among criteria, sub-criteria and alternatives. The criteria used in the method of Analytic Network Process are: product, price, place and promotion. The results obtained from this research is the system analysis of supply chain management of tourism which capable of producing an attractive and competitive tour packages form of tour packages 1 with a value of 0.53. In addition, this information system provides information that the most influential criteria in making tour package is the product criteria with a value of 0.30. The next criterion which affects the making of attractive and competitive tour packages is price of criteria with a value of 0.28.
Pemanfaatan Metode Association Rules dan Holt-Winter Multiplicative untuk Meningkatkan Peluang Penjualan Obat Pertanian
Setiawan, Dwi;
Sediyono, Eko;
Sembiring, Irwan
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 10, No 1 (2020): Volume 10 Nomor 1 Tahun 2020
Publisher : Universitas Diponegoro
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DOI: 10.21456/vol10iss1pp46-55
The competition level between companies on executing product marketing is rapidly increasing, so the companies have to understand the importance of correlation between external environments of company with consumer’s needs. One of the efforts that can be done is by utilizing data warehouse and the application of infrastructure in information and technology field. This research combined Association Rules method to extracting pattern and finding every possibility that potential to increase sales and Holt-Winter Multiplicative method to estimate the alteration of trend on the seasonal data. After passed through data processing process by using RapidMiner tools, information that consists of correlation pattern between rule that describe the comparison of product and the sales working area and season that affects the product sale. The pattern used by company to know which product is often purchased by customer. Besides that, this research produces changing trend data of PT ABC’s product that generated by result of previous data comparison with forecast data. Based on value of error rate Mean Absolute Percentage Error (MAPE) in estimating forecast result on the PT ABC’s sales transaction data during 3 years, it shows good level of accuracy. Result of data test, by considering rule that formed and forecast result so the company can control and manage product in order to avoid incorrect sales. This thing will effect on repression of operational cost and PT ABC can identify available opportunities to increase sale of agricultural medicine.