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"Pemerintah Indonesia, melalui Instruksi Presiden No. 3 Tahun 2003, memulai transformasi menuju e-government dengan menginisiasi Proyek Government Financial Management and Revenue Administration Project (GFMRAP). Salah satu perubahan terbesar dari proyek ini adalah implementasi Sistem Anggaran dan Perbendaharaan Negara (SPAN), yang mengadopsi aplikasi Enterprise Resource Planning (ERP). SPAN bertujuan meningkatkan akuntabilitas, transparansi, efisiensi, dan efektivitas pengelolaan keuangan negara. Dalam proses ini, SPAN pertama kali diterapkan pada tahun 2014 dan mencapai implementasi penuh pada tahun 2015. Meskipun demikian, tantangan dan risiko kritis masih muncul dalam tahap pasca-implementasi, termasuk kebutuhan untuk pemutakhiran sistem guna memastikan keberlanjutan dan keandalan operasional. Penelitian ini bertujuan untuk mengidentifikasi dan melakukan pemeringkatan faktor-faktor kunci yang mendukung kesuksesan pemutakhiran aplikasi SPAN, serta memberikan rekomendasi strategis berdasarkan faktor kunci tersebut. Penelitian menggunakan pendekatan mixed methods dengan studi kasus. Identifikasi faktor kunci dilakukan melalui Thematic Analysis (TA) terhadap data wawancara dan mencapai konsensus melalui Fuzzy Delphi Method (FDM). Sebanyak 24 faktor kunci berhasil diidentifikasi. Selanjutnya, Analytical Hierarchy Process (AHP) digunakan untuk menentukan prioritas dan bobot faktor-faktor tersebut. Hasil pemeringkatan menunjukkan bahwa faktor Top Management Commitment and Support memiliki bobot tertinggi, diikuti oleh faktor Testing and Quality Assurance dan Dedicated Development and Testing Environment. Berdasarkan hasil pemeringkatan, rekomendasi strategis disusun untuk mendukung keberhasilan pemutakhiran aplikasi SPAN. Penelitian ini memberikan kontribusi pada literatur faktor kunci kesuksesan pemutakhiran ERP di sektor pemerintahan.

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The Indonesian government, through Presidential Instruction No. 3 of 2003, initiated its transformation toward e-government by launching the Government Financial Management and Revenue Administration Project (GFMRAP). One of the most significant changes resulting from this project was the implementation of the State Budget and Treasury System (SPAN), which adopts Enterprise Resource Planning (ERP) applications. SPAN aims to enhance accountability, transparency, efficiency, and effectiveness in managing national finances. Initially implemented in 2014 and fully operational by 2015, SPAN continues to face critical challenges and risks in its post-implementation phase, including the need for system updates to ensure operational sustainability and reliability. This research aims to identify and rank the key success factors for SPAN's system upgrade while providing strategic recommendations based on these factors. The study employs a mixed-methods approach using a case study design. Key factors were identified through Thematic Analysis (TA) of interview data and validated through a consensus-building process using the Fuzzy Delphi Method (FDM). A total of 24 key factors were successfully identified. Subsequently, the Analytical Hierarchy Process (AHP) was utilized to determine the prioritization and weighting of these factors. The ranking results indicate that Top Management Commitment and Support holds the highest weight, followed by Testing and Quality Assurance and Dedicated Development and Testing Environment. Based on these rankings, strategic recommendations were developed to support the successful upgrade of SPAN. This study contributes to the literature on key success factors for ERP system upgrades in the government sector."

"This paper discusses the development of web and it's application labels base group decision making. IT supports multiplatform implementation but browser dependent. IT can be operated on various operating system such as Linux, Windows. Desicion making mechanism uses independence and pairwise preference evaluation. Independence evaluation using fuzzy Delphi method and pairwise preference evaluation using linguistic label. In linguistic labels, decision maker give his/her preference in linguistics labels form and processes in Triangular Fuzzy Number (TFN) computation."

"Global Software Development (GSD) adalah metode pengembangan perangkat lunak dengan tim yang tersebar secara geografis di seluruh dunia. GSD merupakan fenomena yang tidak bisa dihindari, karena perkembangan teknologi dan perangkat lunak yang semakin meluas. Persentase tenaga kerja Indonesia yang terlibat dalam GSD hanya 0.2%. Berdasarkan masalah tersebut, tujuan dari penelitian ini adalah mengidentifikasi kompetensi software engineer GSD berbasis KSA (knowledge, skill, & attitude). Penelitian ini mengumpulkan daftar kompetensi KSA menggunakan teknik Systematic Literature Review (SLR), kemudian dilakukan validasi pakar melalui Focus Group Discussion menggunakan kuesioner. Kuesioner kemudian diolah menggunakan Fuzzy Delphi Method untuk mengetahui kompetensi mana saja yang disepakati para pakar. Berdasarkan hasil konsensus pakar, terdapat sepuluh kompetensi GSD yang terdiri dari empat knowledge, empat skill, dan dua attitude. Keempat kompetensi knowledge yang diterima dan diurutkan berdasarkan peringkat tertinggi, yaitu virtual team management, software distribution method, project management, dan information security. Selain itu, keempat kompetensi skill yang diterima dan diurutkan berdasarkan peringkat tertinggi, yaitu collaboration & coordination, programming skill, foreign language skill, dan intercultural communication. Kemudian kedua kompetensi attitude yang diterima, yaitu trust dan cultural sensitivity/awareness. Kompetensi yang telah mencapai konsensus, selanjutnya dicari hubungan keterkaitannya menggunakan fitur cluster analysis pada NVIVO 12 Plus. Berdasarkan analisis, relasi terkuat merupakan kompetensi skill, yaitu intercultural communication (skill) dan collaboration & coordination (skill) dengan nilai Jaccard’s coefficient 0,9. Kemudian relasi terkuat kedua merupakan kompetensi knowledge, yaitu project management (knowledge) dan foreign language skill (knowledge) dengan nilai Jaccard’s coefficient 0,714. Sedangkan kompetensi attitude berada di peringkat ketiga, yaitu relasi antara trust (attitude) dan virtual team management (knowledge) dengan nilai Jaccard’s coefficient 0,714. Langkah terakhir yaitu menyusun rekomendasi menggunakan SLR dan analisis tematik. Penelitian ini menghasilkan rekomendasi untuk meningkatkan dua kompetensi teratas dari knowledge, yaitu virtual team management dan software distribution method; kompetensi teratas dari skill, yaitu collaboration & coordination; dan kompetensi teratas dari attitude, yaitu trust. Selain itu, rekomendasi juga diberikan untuk meningkatkan dua kompetensi yang memiliki relasi tertinggi, yaitu intercultural communication dan collaboration & coordination.

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Software Development (GSD) is a software development method with teams that are spread geographically across the world. GSD is a phenomenon that cannot be avoided, because of the development of technology and software that is increasingly widespread. The percentage of Indonesian workers involved in GSD is only 0.2%. Based on these problems, the purpose of this study is to identify the competency of GSD software engineer based on knowledge, skill, and attitude. This study compiled a list of KSA competencies using the Systematic Literature Review (SLR) technique, then expert validation was conducted through Focus Group Discussion using a questionnaire. The questionnaire is then processed using the Fuzzy Delphi Method to find out which competencies are agreed upon by the experts. Based on the expert consensus, there are ten GSD competencies consisting of four knowledges, four skills, and two attitudes. The four competencies of knowledge sorted by the highest rank, are virtual team management, software distribution methods, project management, and information security. In addition, the four competencies of skill sorted by the highest rank, are collaboration & coordination, programming skills, foreign language skills, and intercultural communication. Then the two competencies of skill sorted by the highest rank, are trust and cultural sensitivity/awareness. The ten competencies then searched for relationship using cluster analysis feature of NVIVO 12 Plus. Based on the analysis, the strongest relation is a skill competency, namely intercultural communication (skill) and collaboration & coordination (skill) with Jaccard's coefficient value of 0.9. Then the second strongest relation is knowledge competency, namely project management (knowledge) and foreign language skills (knowledge) with Jaccard's coefficient value of 0.714. While attitude competency is ranked third, namely the relationship between trust (attitude) and virtual team management (knowledge) with Jaccard’s coefficient value of 0.714. This research produces recommendations to improve the two top competencies of knowledge, namely virtual team management and software distribution method; top competency of skills, namely collaboration & coordination; and the top competency for attitude, namely trust. In addition, recommendations are also given to improve two competencies that have the highest relations, namely intercultural communication and collaboration & coordination."