Garuda - Garba Rujukan Digital

Analisis Dan Perancangan Ulang Proses Bisnis Smart Laundry Dengan Pendekatan Value Added Dan Antrian M. Zaki Efendi; Anisa Fitriani; Aisyah Azzahra; Ufatili Jannah; Tintia Dea Zammiati; Muhamad Anggun Novembra
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 2 (2025): September 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i2.435

Smart Laundry is a laundry service business located in Padang City, offering single-item and bulk laundry services. Based on observations and interviews, several issues were identified in the current business processes, such as manual data recording, long ironing queues due to limited equipment, and unscheduled procurement of operational materials. This study aims to analyze and redesign the business processes of Smart Laundry using the Business Process Reengineering (BPR) and Business Process Management (BPM) approaches. The methods applied include Value Added Analysis to classify value-added activities and queue analysis to assess service efficiency. The results show that the laundry intake process and monthly data recapitulation are the most critical areas requiring improvement. The redesigned process includes the implementation of a digital system for data recording and monthly recaps, as well as recommendations to add ironing equipment, washing machines, and human resources to accelerate the service flow. With these improvements, Smart Laundry is expected to enhance operational efficiency, reduce customer waiting times, and support sustainable business growth.

Sistem Informasi Pembagian Kerja Lapangan Berbasis WEB Firdaus; Muhamad Anggun Novembra; Try Hadyanto; Azira Pertiwi
Jurnal Sains dan Teknologi: Jurnal Keilmuan dan Aplikasi Teknologi Industri Vol. 23 No. 2 (2023): Regular Issue
Publisher : SEKOLAH TINGGI TEKNOLOGI INDUSTRI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36275/j0sr7m40

Sistem informasi pembagian kerja lapangan pada CV. Bisma Mutiara ini berfungsi untuk membangun sebuah aplikasi yang diharapkan dapat menunjang dalam pengolahan data pembagian kerja lapangan yang dimaksudkan memberikan kemudahan bagi pimpinan untuk menerima laporan kegiatan dari anggota. Berdasarkan penelitian yang penulis lakukan pada CV. Bisma Mutiara maka penulis dapat menarik kesimpulan yaitu: Dengan memanfaatkan sistem komputerisasi diharapkan dapat membantu proses pengambilan keputusan dan dengan memanfaatkan pemograman web sebagai software aplikasi diharapkan dapat menggantikan cara yang kurang efektif dan efisien serta diharapkan dapat mempermudah pembuatan laporan hasil proses pengambilan keputusan

Sistem Informasi Pembagian Kerja Lapangan Berbasis WEB Firdaus; Muhamad Anggun Novembra; Try Hadyanto; Azira Pertiwi
Jurnal Sains dan Teknologi: Jurnal Keilmuan dan Aplikasi Teknologi Industri Vol. 23 No. 2 (2023): Regular Issue
Publisher : SEKOLAH TINGGI TEKNOLOGI INDUSTRI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36275/j0sr7m40

Sistem informasi pembagian kerja lapangan pada CV. Bisma Mutiara ini berfungsi untuk membangun sebuah aplikasi yang diharapkan dapat menunjang dalam pengolahan data pembagian kerja lapangan yang dimaksudkan memberikan kemudahan bagi pimpinan untuk menerima laporan kegiatan dari anggota. Berdasarkan penelitian yang penulis lakukan pada CV. Bisma Mutiara maka penulis dapat menarik kesimpulan yaitu: Dengan memanfaatkan sistem komputerisasi diharapkan dapat membantu proses pengambilan keputusan dan dengan memanfaatkan pemograman web sebagai software aplikasi diharapkan dapat menggantikan cara yang kurang efektif dan efisien serta diharapkan dapat mempermudah pembuatan laporan hasil proses pengambilan keputusan

Software Engineer Competency Framework in the Era of Generative AI: A Literature Review Muhamad Anggun Novembra
Jurnal Serumpun Teknik Informatika Vol. 1 No. 3 (2026): Agustus 2026
Publisher : Yayasan Ibrahim Learning Centre Agam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66485/jsti.v1i3.34

Generative artificial intelligence (GenAI) technologies such as Claude Code, ChatGPT, and GitHub Copilot are fundamentally reshaping software development practices, shifting the core activities of software engineers from direct code authoring toward validation, orchestration, and architectural reasoning. This paradigm shift raises fundamental questions: what competencies do software engineers require to collaborate effectively alongside GenAI, and how do these requirements vary across career stages? A focused literature review informed by the Systematic Literature Review principles of Kitchenham & Charters (2007) and the mapping study guidelines of Petersen et al. (2015) was conducted to address these questions. Findings were synthesized into a three-pillar competency model: foundational technical competencies augmented by AI tool literacy and prompt engineering; cognitive-analytical skills characterized by intensified critical code review, systems thinking, and AI-generated logic verification; and meta-skills encompassing AI governance, ethical judgment, and continuous adaptability, all of which exhibit significant differentiation across junior, mid-level, and senior software engineers. Furthermore, this study identifies a critical research gap: competency evolution at the senior engineering tier remains substantially under-researched compared to junior and mid-level stages. These findings offer practical implications for software organizations and educational institutions in redesigning competency development pathways in the GenAI era

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