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"This book contains the refereed proceedings of the 13th International Conference on Agile Software Development, XP 2012, held in Malmö, Sweden, in May 2012.The topics covered include general aspects of agility, agile teams, studies related to the release and maintenance of software, and research on specific practices in agile and lean software development. They are complemented by four short papers capturing additional aspects of agile and lean projects."

"Pada awal tahun 2019, korporasi IT di Perusahaan Otomotif XYZ (PT XYZ) mengadopsi Scrum untuk sebagian proyek yang dijalankan. Namun, hasil wawancara dengan kepala departemen Project Management Office menunjukkan 34% (29 dari 86) proyek agile tahun 2020 tidak selesai di tahun tersebut. Berdasarkan hasil wawancara dengan pejabat korporasi IT, kendala terkait requirements engineering merupakan masalah yang paling banyak muncul. Penelitian ini bertujuan mengidentifikasi tantangan dan solusi untuk proses requirements engineering pada proyek-proyek agile di PT XYZ. Penelitian ini terbagi menjadi dua tahap: (1) identifikasi tantangan serta solusi dari literatur dengan menggunakan systematic mapping study dan (2) validasi hasil identifikasi tersebut kepada penanggung jawab proses requirements engineering di PT XYZ dengan menggunakan kuesioner dan group interview. Tahap pertama penelitian mengidentifikasi 15 tantangan dan 38 solusi dari tujuh penelitian terseleksi. Hasil kuesioner menunjukkan bahwa 13 dari 15 tantangan terjadi di PT XYZ, sedangkan 2 tantangan tidak terjadi. Data juga menunjukkan bahwa dua tantangan teratas (urutan 1 dan 2) yang dianggap valid oleh 100% responden hanya disebutkan di dua dan tiga penelitian saja. Sementara, satu dari dua tantangan terbawah (urutan 14) justru disebutkan di lima penelitian terdahulu. Fakta tersebut menunjukkan bahwa tantangan utama yang dihadapi oleh PT XYZ bukan tantangan yang umum terjadi, sementara salah satu tantangan yang umum ditemukan tidak dominan terjadi dalam praktek di perusahaan. Berdasarkan hasil group interview, terdapat 14 tantangan yang dihadapi perusahaan: 13 tantangan sama dengan hasil kuesioner dan 1 tantangan tambahan dari group interview. Selain itu, terdapat 21 solusi yang termasuk prioritas untuk implementasi: 13 solusi sama dengan hasil kuesioner dan 8 solusi tambahan dari group interview.

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In early 2019, the IT corporation at Automotive Company XYZ (PT XYZ) adopted Scrum for some of its projects. However, the results from an interview with the head of the Project Management Office department showed that 34% (29 of 86) 2020 agile projects were incompleted. Based on interview results with IT corporate officials, requirements engineering-related problems are the most common problems. This study aims to identify requirements engineering process challenges and solutions on agile projects at PT XYZ. This research consists of two phases: (1) challenges and solutions identification from the literature using a systematic mapping study and (2) validation by the person in charge of the requirements engineering process at PT XYZ using a questionnaire and group interview. The first phase of the research identified 15 challenges and 38 solutions from the seven selected studies. The questionnaire results showed that 13 of the 15 challenges occurred at PT XYZ, while two challenges did not happen. This study also found that the top two challenges (number 1 and 2) that are 100% valid based on the respondents only found in two and three studies, while one of the lowest challenges (number 14) was mentioned in five previous studies. This fact shows that the two main challenges faced by PT XYZ are unusual, while one of the most frequently found challenges is not dominant in company practices. Based on the group interviews results, there are 14 challenges confirmed: 13 challenges are the same as the questionnaire results and one additional challenge from the group interview. In addition, there are 21 prioritized solutions: 13 solutions are the same as the questionnaire results and 8 more solutions from the group interview."

"With constantly changing requirements, project managers need to have speed, reflexes, intelligence, and the ability to respond to new demands. In a fast-paced environment filled with uncertainty, successfully completing projects on time can feel like running an obstacle course. An emphasis on speed often forces project teams to make decisions without crucial data, leading to frequent changes of direction once more information becomes known. If people aren't light on their feet, complicated projects can easily get tripped up. Agile Project Management gives readers the strategies they need to take charge of urgent projects that involve unique resources an elements of uncertainty. The book offers an improvement upon classical project management processes by tying project processes more directly to the ever-changing requirements of business objectives-achieving improved flexibility and response time. Filled with examples showing how to implement agile PM into all project situations, the book demonstrates how to develop an appropriate and supportive infrastructure and environment, and reviews the roles of the project manager, general management, and the project team. Agile Project Management is the ultimate method for achieving superior results in an accelerated and changing environment."

"Hasil survei The Standish Group pada tahun 2020 menyatakan bahwa dalam satu dekade terakhir, tingkat kegagalan proyek pengembangan perangkat lunak selalu lebih tinggi daripada tingkat keberhasilannya. Beberapa penelitian terdahulu berupaya mengumpulkan faktor penentu kegagalan proyek pengembangan perangkat lunak. Salah satu faktor yang paling sering dibahas adalah pendefinisian persyaratan yang kurang memadai. Oleh sebab itu, proses requirements engineering menjadi penting dalam menentukan keberhasilan proyek pengembangan perangkat lunak. Penelitian ini bertujuan memeringkatkan faktor penentu keberhasilan requirements engineering. Metode yang digunakan untuk memeringkatkan faktor adalah Analytic Hierarchy Process (AHP). Penelitian ini fokus pada pendekatan kuantiatif untuk mengumpulkan dan mengolah data. Pengumpulan data dilakukan menggunakan kuesioner dengan model perbandingan berpasangan (pairwise comparison). Data yang dikumpulkan dari kuesioner kemudian diolah menggunakan aplikasi Expert Choice 11 untuk memeringkatkan kriteria dan faktor. Hasil pengolahan data menunjukkan bahwa faktor yang paling menentukan keberhasilan requirements engineering adalah pendefinisian batasan dan tujuan proyek. Implikasi yang diberikan dari penelitian ini secara teoritis adalah melengkapi dan memvalidasi penelitian terdahulu terutama tentang kriteria dan faktor penentu keberhasilan requirements engineering. Secara praktikal, hasil penelitian ini merekomendasikan tim pengembang perangkat lunak untuk fokus dalam mendefinisikan tujuan dan ruang lingkup proyek sebelum menjalankan proses requirements engineering.

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According to a survey conducted by The Standish Group in 2020, the failure rate of software development projects has always been greater than their success rate during the last decade. Several earlier research attempted to identify the causes of failed software development projects. The poor definition of needs is one of the most commonly mentioned factors. Therefore, the importance of the requirements engineering process in determining the success of a software development project increases. This research attempted to rank the critical success factors of requirements engineering. Analytic Hierarchy Process is the method used to rank the components (AHP). This study emphasizes a quantitative approach to data collection and analysis. Using a questionnaire and a paired comparison model, data was obtained. The questionnaire data were then analyzed with the Expert Choice 11 software in order to rank the criteria and factors. The findings reveal that the definition of project scopes and goals is the most critical factor for the success of requirements engineering. Theoretically, the conclusions of this study complement and validate earlier research, particularly about the criteria and critical success factors for requirements engineering. In practice, the results of this study suggest that the software development team should focus on defining the project's scope and goals prior to executing the requirements engineering process."

"Engineering systems such as an aircraft or frigate are highly complex and specifically designed to meet the customer?s requirements. This important book provides the information necessary to acquire and support complex engineering systems expected to last for a long time. Chapters in the first half of the book examine the life cycles of these systems, their design, testing and certification, and the principles behind their acquisition. The second half of the book reviews topics including operations support and logistics, systems maintenance, reliability and upgrades, and performance and risk analysis, ending with a discussion of the need for continuous improvements in these systems."

"Survei yang dilakukan oleh Project Management Institute dan VersionOne memaparkan bahwa pengembangan proyek menggunakan pendekatan agile telah berkembang sangat pesat. Kerangka kerja enterprise agile atau scaling agile diharapkan dapat menangani problem yang lebih kompleks pada saat organisasi beralih dari pendekatan tradisional ke agile. Meskpun saat ini terdapat metode-metode scaling agile yang populer memiliki praktik-praktik yang diajukan, tidak semua praktik dan metode tersebut cocok untuk organisasi. Oleh karena itu, memilih metode dan praktik agile dari beberapa metode dibandingkan adaptasi satu metode secara keseluruhan dapat dipertimbangkan sebagai strategi untuk pemilihan praktik yang diperlukan. Penelitian oleh scrum.org menyebutkan bahwa 49% organisasi tidak memiliki kerangkan kerja untuk penerapan scaling agile mereka, sedangkan pemilihan kerangka kerja merupakan salah satu proses yang penting. Saat ini, belum ada penelitian yang membahas mengenai kerangka kerja yang bersifat general untuk enterprise agile. Penelitian ini bertujuan untuk membangun kerangka kerja enterprise agile berdasarkan konsep The Essence SEMAT Kernel dan general theory of software engineering. Design Science Research (DSR) digunakan sebagai metodologi penelitian, karena karakteristiknya yang sesuai dengan tujuan penelitian ini. Penelitian ini menghasilkan luaran berupa kerangka kerja enterprise agile yang sudah dilakukan proses uji coba pada beberapa organisasi di Indonesia. Proses evaluasi berdasarkan konsep DSR sudah dilakukan sampai beberapa kali iterasi. Evaluasi dilakukan pada setiap proses desain dan setelah tahapan uji coba. Evaluasi oleh para pakar, praktisi dan pakar internasional dilakukan menggunakan metode wawancara daring menggunakan video conference, focus group discussion (FGD) dan structured-interview dengan formulir daring. Untuk kontribusi akademik, penelitian ini memberikan rujukan kepada penelitian lainnya pada bidang enterprise agile. Berdasarkan Software Engineering Body of Knowledge (SWEBOK), penelitian ini menambahkan referensi mengenai scaling agile methods pada pada area Software Engineering Model and Methods.

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A survey conducted by the Project Management Institute and VersionOne showed that the development of projects using the agile approach had developed very rapidly. The enterprise agile framework or scaling agile framework is expected to solve the complex problem while they are transitioning from traditional to agile approach. Although there are several agile methods each encompasses multiple practices, not all of them may fit for all organizations. Therefore, picking appropriate agile practices from different methods rather than adapting to a whole agile method, can be considered as practice selection strategy. The research by Scrum.org explores that 49% of organization have no framework for their implementation of scaled agile, whereas the selection of the framework is of the important process. Currently, there are no studies to explore the generic framework of the enterprise agile. In the other related software engineering field, there are the common ground concept. This study aims to develop an enterprise agile framework based on the concept of The Essence SEMAT Kernel and general theory of software engineering. Design Science Research (DSR) is used as a research methodology, because of its characteristics that are in accordance with the objectives of this research. This research produces an output in the form of an enterprise agile framework that has been evaluated in several organizations in Indonesia. The evaluation process based on the DSR concept has been carried out for several iterations. Evaluation is carried out at each design process and after the trial phase. Evaluation by experts, practitioners and international experts is carried out using online interview methods using video conferencing, focus group discussions (FGD) and structured-interviews with online forms. In the academic field, this research contributes to adding agile scaling methods to SWEBOK in the Software Engineering Model and Methods area. For practitioners, the framework that was built can be used as a guide for implementing agile scaling in organizations. For academic contributions, this research provides references to other research in the field of enterprise agile. Based on the Software Engineering Body of Knowledge (SWEBOK), this study adds a reference to scaling agile methods in Software Engineering Models and Methods."

"Perusahaan third party logistics (3PL) memainkan peran penting dalam aktivitas supply chain management. Kemampuan yang ditawarkannya dapat membantu perusahaan yang menggunakan jasanya dalam mengurangi biaya supply chain dan fokus pada kompetensi utama mereka. Dalam menghadapi persaingan untuk mencapai keunggulan kompetitif, baik perusahaan pengguna jasa ataupun 3PL sendiri perlu memperhatikan biaya yang dikenakan kepada pelanggan untuk produk dan jasa yang ditawarkan. Lebih dari setengah biaya suatu produk merupakan biaya untuk supply chain dan sebagian besar dipengaruhi oleh aktivitas outbound logistics. Penelitian ini berisi tentang pengembangan model optimasi untuk meminimalkan biaya outbound logistics menggunakan metode Mixed Integer Linear Programming (MILP). Hasil penelitian menunjukkan bahwa model optimasi berhasil mengurangi total biaya outbound logistics dengan keputusan rencana pengiriman yang terdiri dari pemilihan tipe kendaraan, volume muatan pengiriman, tingkat utilisasi kendaraan, dan jumlah kebutuhan pekerja pemuatan.

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Third party logistics (3PL) companies play an important role in supply chain management activities. The capabilities it offers can help companies that use their services to reduce supply chain costs and focus on their core competencies. In the face of competition to achieve competitive advantage, both service users and 3PL companies themselves need to pay attention to the fees charged to customers for products and services offered. More than half the cost of a product is the cost for the supply chain and is largely influenced by outbound logistics activities. This research contains the development of optimization models to minimize outbound logistics costs using the Mixed Integer Linear Programming (MILP) method. The results showed that the optimization model succeeded in reducing the total cost of outbound logistics with the decision of the shipping plan consisting of choosing the type of vehicle, the volume of the shipping load, the level of vehicle utilization, and the number of loading worker needs."

"A successful understanding on how to make computers learn would open up many new uses of computers and new levels of competence and customization. A detailed understanding on inform-ation- processing algorithms for machine learning might lead to a better understanding of human learning abilities and disabilities. There are many type of machine learning that we know, which includes Backpropagation (BP), Extreme Learning Machine (ELM), and Support Vector Machine (SVM). This research uses five data that have several characteristics. The result of this research is all the three investigated models offer comparable classification accuracies. This research has three type conclusions, the best performance in accuracy is BP, the best performance in stability is SVM and the best performance in CPU time is ELM for bioinformatics data.

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Keberhasilan pemahaman tentang bagaimana membuat komputer belajar akan membuka banyak manfaat baru dari komputer. Sebuah pemahaman yang rinci tentang algoritma pengolahan informasi untuk pembelajaran mesin dapat membuat pemahaman yang sebaik kemampuan belajar manusia. Banyak jenis pembelajaran mesin yang kita tahu, beberapa diantaranya adalah Backpropagation (BP), Extreme Learning Machine (ELM), dan Support Vector Machine (SVM). Penelitian ini menggunakan lima data yang memiliki beberapa karakteristik. Hasil penelitian ini, dari ketiga model yang diamati memberikan akurasi klasifikasi yang sebanding. Penelitian ini memiliki tiga kesimpulan, yang terbaik dalam akurasi adalah BP, yang terbaik dalam stabilitas adalah SVM dan CPU time terbaik adalah ELM untuk data bioinformatika."