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Arief Hamdani Gunawan
"As the result of business globalization and telecommunication deregulation, today the competition condition in Indonesia telecommunication involved not only national private sectors but also other country state owned enterprises. TELKOM today is the only one national flag carrier of Indonesia that competes in the domestic for telecommunications products as well as telecommunications services. Hence, it is mandatory fix TELKOM to implement competitive intelligence based on survivability and probity mason to east in the competitive environment.
The essential products of competitive intelligence are strategic recommendation and tactical recommendation. Competitive analysis and competitor analysis can be used as the powerful engine for competitive intelligence analysis, because both of them can analyzes maims and positions in the competitive environment.
There are two main objectives of the thesis. Fast is to build competitive strategy recommendation based on Competitive Analysis on TELKOMFlexi-Jakarta. The recommendation is the guidance for strategic level implementation. Second is to build product/service portfolio recommendation based on competitor analysis on TELKOMFlexi-Jakarta. The recommendation is the guidance for tactical level implementation.
All the analysis is the based on the case study of TELKOMFlexi-Jakarta and its external environment. Soon or later TELKOMFlexi-Jakarta will become the product to deliver central of gravity of TELKOM. Moreover, Jakarta contributes the highest revenue for various businesses including telecommunication field, therefore Jakarta exists as the most competitive environment not only in telecommunication but also in other businesses sectors.
The theoretical background for the thesis is based on inters disciplinary approach. Firstly is intelligence system that also related with marketing intelligence and business intelligence, then followed by competitive intelligence theory. Moreover, TELKOMFlexi is one of the latest cellular network services therefore in the next part of the literature review explains about cellular networks background. The last part of the literature review describes strategic synthesis; the synthesis is used as the main outcome in the analysis.
As organizational background, the thesis explains critical review of relevant theories/models then follows by the explanation of critical review of relevant policies and critical review of existing studies. For better understanding of the in Indonesia cellular networks competition in the last part pout out Indonesia cellular networks competition map. In the last part, the organizational background describes organization response for implementing competitive intelligence.
The analysis of the thesis is based on competitor analysis and competitive analysis as the competitive intelligence analysis in TELKOM. The first part of the analysis introduces the subject of research methods and research techniques. The next parts are competitive analysis and competitor analysis.
The analysis that is based on the competitor analysis should be done in a shorter time rather than the analysis based on the competitive analysis. The reason is the result of SWOT analysis as well as product and service analysts is only the current analysis, so it can not be projected in the long period. Therefore product/service portfolio recommendation is published in the short period rather than competitive strategy recommendation based on competitive analysis.
The competitive strategy recommendation gives the consideration that TELKOMFlexi should focus on surprises strategy, responsiveness strategy and development strategy, regardless the zone. Meanwhile, product/service portfolio recommendation focuses on aggressive strategy, diversification strategy, aggressive strategy, and defensive strategy. The used of the competitive strategy recommendation and development strategy are related with the real condition and position respects to exacting service in particular product on specific geographical area."
Depok: Program Pascasarjana Universitas Indonesia, 2006
T18370
UI - Tesis Membership  Universitas Indonesia Library
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Muhammad Alibaba
"Asuransi merupakan industri yang berbasiskan pada layanaan produk baik asuransi jiwa maupun asuransi umum. Pembuatan produk sangat mengandalkan prediksi untuk penentuan tarif premi, khusus untuk asuransi jiwa prediksi mencakup: prediksi mortalitas, morbiditas, tingkat investasi dan biaya-biaya yang diambil dari premi yang dibayarkan nasabah. Volume data yang besar dan berada pada tempat yang terpisah menyulitkan untuk proses analisis dan membutuhkan waktu yang relatif lama. Untuk membantu melakukan analisis dan prediksi diatas salah satunya dengan menggunakan Business Intelligence yang merupakan salah satu tools untuk melakukan prediksi dibantu dengan analisis dari data mining yang sumber datanya diambil dari data warehouse berbasis model dimensional dan merupakan kumpulan data operasional yang terintegrasi. Pemodelan data warehouse sendiri tidak terlepas dari analisis proses bisnis dan analisis data operasional yang tersimpan. Untuk analisis proses bisnis digunakan tehnik value chain yang dapat menggambarkan aktifitas utama organisasi dan aktifitas pendukungnya dibantu dengan tehnik analisis balanced scorecard untuk menentukan indikator-indikator utamanya. Data yang digunakan terdiri dari analisis dimensi produk asuransi yang dijual, polis yang diterbitkan dan klaim yang terjadi, selanjutnya dibantu dengan visualisasi pola yang dihasilkan data mining dapat diambil kesimpulan mengenai pola-pola yang terjadi dimasa mendatang tentang penjualan produk, klaim dan polis yang terbit.
Insurance is one of industries which is based on product services, life insurance and general insurance. Products are created rely on prediction in determining prime cost. Especially for life insurance, the prediction consists of that is contains of mortality rate, morbidity rate, investment rate and cost earned from customers prime. In insurance industry, data volume is big and located in separated systems. This condition will make product services analysis difficult and need a lot of time. To help enhance the analysis and prediction, Business Intelligence. It could be used as a tool which do the prediction with data mining analysis which source came from data warehouse. The data warehouse is based on dimentional model and it is a set of integrated operational data. Data warehouse?s model itself was unseparated from business process analysis and stored operational data analysis. The value chain technique was used to analyze business process that can describe organizations general activity and its supported activity. Balanced scorecard was used to determine the main indicators. Data used in this study came from the result of sold insurance product dimension analysis, published policy and claim. Next, data mining is used for classification visualization resulted. The result of analysis was integrated-data that was individual life, group life dan health onto data warehouse. The integrated data was classified with predictive value technique that created sold-product model, claim model, and published policy model."
Depok: Fakultas Ilmu Komputer Universitas Indonesia, 2009
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UI - Tesis Open  Universitas Indonesia Library
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"Classification analysis is considered one of the most important areas of pattern recognition and data mining . It has been used in many industries to istablish a structure or model based on raw data...."
Artikel Jurnal  Universitas Indonesia Library
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Lumempouw, Geysbert Josua
"Tesis ini membahas mengenai strategi persaingan PT Garuda Indonesia dalam Menghadapi ASEAN Open Sky 2015, karena kompetisi persaingan akan berubah ketika kebijakan tersebut diberlakukan. Ketika Batik Air mengancam eksistensi Garuda Indonesia di pasar penerbangan Full Service Carrier, Garuda Indonesia juga akan menghadapi lawan – lawan yang baru seperti Singapore Airlines atau Malaysia Airlines yang memiliki segmentasi pasar yang sama dengan Garuda Indonesia. ASEAN Open Sky 2015 memberikan peluang untuk adanya rute – rute potensial yang baru bagi Garuda Indonesia di ASEAN tapi juga memberikan ancaman besar ketika pasar penerbangan komersil di Indonesia juga bisa dimasuki oleh maskapai penerbangan Asia Tenggara yang lain.
Penelitian ini menggunakan analisis Rantai Nilai, analisis STEEP, analisis 5 Kekuatan Porter, analisis SWOT, Model Bisnis Canvas dan Pemetaan Kompetitif (Competitive Mapping). Hasil penelitian menunjukkan bahwa Garuda Indonesia dengan grand strategy yang sudah ada masih memerlukan beberapa strategi alternatif karena strategi yang ada sekarang belum cukup efektif untuk menghadapi persaingan yang baru. Untuk itu diperlukan beberapa strategi alternatif antara lain penetrasi pasar dan penambahan armada, pembukaan hubport baru, kerjasama dengan tourism board, penggunaan one on one marketing dan promosi pemakaian produk dalam negeri.

This thesis discusses the competitive strategies of PT Garuda Indonesia Facing ASEAN Open Sky 2015, due to the competition of competition will change when the policy is enforced. When Batik Air threatened the existence of Garuda Indonesia in Full Service Carrier aviation market, Garuda Indonesia will also face new opponent like Singapore Airlines or Malaysia Airlines, which has similar market segmentation. ASEAN Open Sky 2015 provides an opportunity of potential new routes services for Garuda Indonesia in ASEAN, but also a big threat when the commercial aviation market in Indonesia can also be entered by the the other airline in Southeast Asian.
This research using Value Chain analysis, STEEP analysis, Five Forces Porter analysis, SWOT analysis, Business Model Canvas and Competitive Mapping. Result of this research showed the existing Grand Strategy of Garuda Indonesia still requires some alternative strategies because the current strategy is not effective yet to face the new competition. It is necessary for some alternative strategies, that is market penetration and the addition of fleet, opening new hubport, cooperation with tourism board, one on one marketing and promotion of using domestic products.
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Depok: Program Pascasarjana Universitas Indonesia, 2013
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UI - Tesis Membership  Universitas Indonesia Library
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Ejo Imandeka
"Business Intelligence merupakan salah satu trend teknologi dalam mendukung analisis dan pengambilan keputusan yang strategis di organisasi. Banyak organisasi yang menyatakan berhasil melakukan adopsi BI, banyak pula yang melaporkan kegagalan pasca adopsi. PT Taspen Persero memiliki permasalahan terhadap penggunaan BI, trend penggunaan BI menunjukkan penurunan hingga mencapai 16 di akhir tahun 2015. Berdasarkan fakta tersebut perlu dilakukan analisis mengenai faktor-faktor yang memengaruhi kelangsungan penggunaan BI di Taspen. Penelitian ini menggunakan pendekatan kuantitatif melalui penyebaran kuisioner kepada para pengambil keputusan dan pengguna BI di Taspen. Dari hasil pengumpulan data, didapatkan responden penelitian sejumlah 195 responden yang kemudian dianalisis dengan menggunakan Covariance Based SEM CB-SEM dengan bantuan perangkat lunak IBM Amos v22. Penelitian ini mengajukan sebuah model kerangka pemikiran dengan mengkombinasikan faktor Eksternal External Stimuli, Internal Internal Stimuli Afektif Affective Response, dan Kognitif Cognitive Response terhadap kelangsungan penggunaan BI Behavioral Response. Hasil dari penelitian ini menunjukkan Information Integration merupakan faktor yang paling signifikan dari sisi eksternal dalam membentuk pengaruh terhadap kelangsungan penggunaan, selain itu faktor yang paling signifikan dalam membentuk pengaruh terhadap kelangsungan penggunaan BI dari sisi perceive of usefulness yaitu increase productivity. Faktor relatedness dan trust juga memiliki pengaruh terhadap kelangsungan penggunaan continuance use BI, namun faktor organisasi yang diwakili oleh influence organization dan influence peers tidak memiliki pengaruh terhadap kelangsungan penggunaan continuance use BI. Hasil dari penelitian ini juga diharapkan dapat mendukung studi terkait kelangsungan penggunaan BI dan menjadi rekomendasi perbaikan program kerja BI pada ITMP Taspen 2015-2016.

Business Intelligence BI is a technology trend that support the analysis and strategic decision making in an organization. Many organizations are declared successful adoption of BI, many also report the failure of post adoption. PT Taspen Persero has an issue related to the continuance usage intention of BI. BI usage trend showed a decrease of up to 16 at the end of 2015. Based on these facts, need to do a study of the factors influencing BI continuance usage intention at Taspen. This study uses a quantitative approach through the distribution of questionnaires to decision makers and users of BI. The questionnaires consisting of 38 items were distributed online and offline, and 195 responses were collected and analyzed. The results of this study indicate information integration and perceive of usefulness factors were the most influencing factor on the continuance usage intention of BI, Relatedness and trust factors also have an influence on the continuity of use continuance use BI, but organizational factors represented by the organization and peers influence have no effect on thecontinuance use of BI. The study proposed a model that combines external factors, internal factors, affective response, and cognitive response of BI. The results of this study shows integration of information, increasing productivity, and advanced reporting as factors that have strong influence to the continuance usage intention of BI. It is expected to support related studies, provide recommendations for improvements of BI, and evaluate BI work program on ITMP Infromation Technology Master Plan ."
Depok: Fakultas Ilmu Komputer Universitas Indonesia, 2017
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UI - Tugas Akhir  Universitas Indonesia Library
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Ruth Magdalena
"PT. XYZ merupakan perusahaan yang bergerak di bidang perawatan pesawat terbang atau yang disebut dengan Maintenance Repair Overhaul (MRO). Dashboards Business Intelligence (BI) hadir di tengah bisnis perusahaan dan diharapkan mampu memberikan data-data yang akurat secara cepat guna aktivitas pengambilan keputusan strategis oleh para pemimpin perusahaan. Ekspektasi awal dari kedua proyek tersebut mampu memberikan data-data dashboards yang cepat dan tentunya akurat. Realita menunjukan data yang digunakan untuk mendukung kegiatan analisa strategis dan pengambilan keputusan tidak cepat selama kurang lebih 3 tahun dashboards BI diimplementasikan. Salah satu penyebabnya adalah rendahnya penggunaan dashboards BI yang menjadi fokus masalah penelitian. Tujuan penelitian yaitu mendapatkan faktor-faktor penyebab penggunaan dashboard rendah pada PT. XYZ dan apa saja perbaikan untuk meningkatkan penggunaan dashboard yang rendah. Penelitian dilakukan dengan menggunakan mixed method antara kuesioner user testing dan heuristic evaluation serta inspeksi yang dilakukan oleh responden. Hasil dari kedua metode adalah mendapatkan faktor-faktor yang memengaruhi penggunaan dashboards rendah. Faktor-faktor tersebut di antaranya adalah flexibility, efficiency, error detected, error control and help, user`s satisfaction, dan application`s behaviour yang akan memberikan rekomendasi bagi PT XYZ berdasarkan hasil inspeksi dari ahli-ahli BI. Saran penelitian didapatkan berdasarkan hasil inspeksi beberapa ahli BI yang mengacu pada seluruh faktor perbaikan dashboard BI PT XYZ. Adapun saran penelitian di antaranya adalah meningkatkan efisiensi, kecepatan akses, fleksibilitas,, user`s satisfaction melalui dashboard yang user friendly, dan perbaikan beberapa error serta penambahan fitur help sebagai informasi
penggunaan dashboard. Seluruh saran penelitian menjadi rekomendasi peneliti dan telah divalidasi oleh beberapa ahli BI.

ABSTRACT
PT. XYZ is a company that engaged in aircraft maintenance or what is called Maintenance Repair Overhaul (MRO). Dashboards Business Intelligence (BI) is present in the middle of the company`s business and is expected to be able to provide accurate data quickly for strategic decision making activities by company leaders. Initial expectations of the two projects were able to provide fast and certainly accurate dashboards data. Reality shows the data used to support strategic analysis and decision making activities is not fast for approximately 3 years BI dashboards are implemented. One reason is the low usability of
BI dashboards which is the focus of research problems. The research objective is to get the factors causing the low dashboard usability at PT. XYZ and any improvements to improve dashboard usability is low. The study was conducted using a mixed method between the user testing questionnaire and heuristic evaluation and inspection conducted by respondents. The results of the two methods are the factors that influence the usability of low dashboards. These factors include flexibility, efficiency, error detected, error control and help, user satisfaction, and application`s behavior that will provide recommendations for PT XYZ based on the results of inspections from BI experts. Research suggestions were obtained based on the results of inspections from several BI experts which referred to all factors of BI XYZ dashboard improvement. The research recommendations include increasing efficiency, speed of access, flexibility, user`s satisfaction through a user friendly dashboard, and fixing some errors and adding help features as a dashboard usage information. All research recommendations are recommended by researchers and have been validated by several BI experts."
Jakarta: Fakultas Ilmu Komputer Universitas Indonesia, 2020
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UI - Tugas Akhir  Universitas Indonesia Library
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Niko Ibrahim
Depok: Rajawali Press, 2023
658.472 NIK s
Buku Teks SO  Universitas Indonesia Library
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Ajie Tri Hutama
"Meningkatnya kebutuhan untuk pengambilan keputusan bisnis yang efektif dan tepat waktu pada pasar yang kompetitif telah mendorong perusahaan untuk mengadopsi sistem Business Intelligence (BI). Keberhasilan adopsi teknologi BI memungkinkan organisasi memiliki efektivitas bisnis dan investasi Teknologi Informasi (TI) yang lebih baik. Pada organisasi yang baru mengadopsi teknologi BI, proyek implementasi sistem BI seringkali mengalami kegagalan. Pada organisasi yang telah mengimplementasikan sistem BI, seringkali juga gagal dalam mendapatkan manfaat penuh dari sistem BI. Pengukuran tingkat kematangan adalah suatu metode yang populer untuk mengukur sebuah organisasi melalui perspektif proses, sumber daya manusia, dan data dalam penerapan suatu sistem tertentu. Tujuan dari penelitian ini adalah untuk mengukur sejauh mana sistem BI diterapkan di sebuah perusahaan otomotif Indonesia melalui kacamata kematangan organisasi dan faktor mana yang perlu ditingkatkan. Dalam hal ini, model kematangan Business Intelligence (biMM) yang dikembangkan oleh Dinter diadopsi untuk menetapkan tingkat kematangan BI di sebuah perusahaan otomotif Indonesia. Studi ini pada akhirnya menjawab tingkat kematangan implementasi sistem BI di sebuah perusahaan otomotif di Indonesia dan faktor-faktor yang perlu ditingkatkan beserta rekomendasi terhadap hal tersebut.

The increasing need for effective and timely business decision making in a competitive market has driven companies to adopt Business Intelligence (BI) systems. Successful adoption of BI technology enables organizations to have better business effectiveness and Information Technology (IT) investments. In organizations that have just adopted BI technology, BI system implementation projects often fail. In organizations that have implemented BI systems, they often fail to get the full benefits of BI systems. Maturity level measurement is a popular method for measuring an organization through the perspective of processes, human resources, and data in the implementation of a particular system. The purpose of this study is to measure the extent to which the BI system is implemented in an Indonesian automotive company through the lens of organizational maturity and which factors need to be improved. In this case, the Business Intelligence (biMM) maturity model developed by Dinter is adopted to determine the maturity level of BI in an Indonesian automotive company. This study ultimately answers the maturity level of BI system implementation in an automotive company in Indonesia and the factors that need to be improved along with recommendations for this."
Depok: Fakultas Ilmu Komputer Universitas Indonesia, 2023
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UI - Tugas Akhir  Universitas Indonesia Library
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"Food is the main basic need of human, because of that fulfillment of human need of food has to be fulfilled. So it can fulfill that need, then government institution, Food Security Agency (BKP) is formed so it can monitor fulfillment of food need of society. The goals of this writing are to develop food security information system that provides dashboard facility based on business intelligence, to develop food security information system that can give fast, precise and real time information about food security, to develop decision-making support system for chairman in food security institution. Data is obtained from questionnaires to 51 respondents that are chairmen in Food Security Agency. Data is analyzed with SWOT analysis method for business environment and IT balanced scorecard (IT BSC) for IS/IT environment. The result of analysis of food security information system in Food Security Agency can help chairman in decision-making by presenting information about dashboard that gives fast, precise and real time information. It can be concluded that development of information is successfully done."
621 COMMIT 8 (1-2) 2014
Artikel Jurnal  Universitas Indonesia Library
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Andrey Ardyan Hadibrata,author
"Salah satu bentuk kontribusi positif dalam perekonomian Indonesia adalah peran dan jumlah UMKM (Usaha Mikro, Kecil dan Menengah) yang terus meningkat dari tahun ke tahun. Namun perlu diperhatian bahwa tidak sedikit UMKM yang dapat mengelola manajemen bisnis dengan baik. PT. Negawan International Group adalah salah satu UMKM yang memiliki bisnis fokus pada pemenuhan kebutuhan sandang melalui motif batik khas di Indonesia. Data dan informasi diperoleh dengan menggunakan metode business coaching, riset kualitatif untuk mengetahui kondisi dan masalah yang terjadi di UMKM, kemudian mengambil tindakan sesuai harapan UMKM untuk mengimplementasikan solusi perbaikan. Hasil yang diperoleh bahwa UMKM tidak memiliki Business Intelligence yang dapat dijadikan informasi dalam pengambilan keputusan oleh manajemen terhadap situasi dan bisnis yang dihadapi saat ini. Serta belum adanya loyalty program dan sistem kinerja karyawan. Maka solusi yang diajukan adalah pembuatan Business Intelligence, penyusunan loyalty program dan meningkatkan sistem kinerja karyawan untuk mendukung kegiatan pemasaran UMKM. Hasil dari terjemahan data menjadi informasi yang dilakukan oleh Business Intelligence, sangat membantu UMKM dalam menganalisa kondisi bisnis dalam aspek pelanggan, product, saluran, orang dan waktu akan menjadi dasar dalam pembuatan loyalty program dan sistem kinerja karyawan. Business coaching ini bertujuan untuk membantu PT. Negarawan International Group dalam mengelola kegiatan pemasarannya dengan pembuatan Business Intelligence, penyusunan loyalty program, dan peningkatan sistem kinerja karyawan.

This paper aims to coach the Fashion Retail especially how to manage the marketing activities by creating Business Intelligence, developing loyalty programs, and enhancing employee performance systems. One of the contributions to the economy in Indonesia is the role of SMEs (Small and Medium Enterprises) and the revenue should increase from year to year. However, it is a note that not all SMEs in Indonesia could manage their business especially in managing their marketing activities. NIG is the one example of the SMEs as the target business coaching that has business on selling Batik models in Indonesia. The main focus is how to utilize data and information that are obtained by using a business coaching method, combined with qualitative research to find out the real condition and problems that occur at SME to take action to improve marketing activities and management expectations to be implemented as the business solutions. After interviewed with the owner, SME does not have Business Intelligence that can be used to translate data into information that is needed for management decision making based on current business conditions. Furthermore, there is no loyalty program and employee performance system to support the goal of business coaching. Hence, the proposal is to create Business Intelligence, develop Loyalty Programs and enhance Employee Performance System in order to achieve good performance of their marketing activities. The information from data translation could be retrieved by the implementation of Business Intelligence that greatly help SME to analyses current business conditions to the necessary dimension aspects such as customers, products, channels, people and time. Those dimensions will be the base in developing loyalty programs and employee performance systems."
Jakarta: Fakultas Ekonomi dan Bisnis Universitas Indonesia, 2020
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UI - Tesis Membership  Universitas Indonesia Library
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