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All Journal JPKMI (Jurnal Pengabdian Kepada Masyarakat Indonesia) Jurnal Penelitian Terapan Mahasiswa
I Wayan Pio Pratama
Politeknik eLBajo Commodus
Humanities Computer Science & IT Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Public Health Social Sciences

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Meningkatkan Wawasan Bisnis dan Strategi Pemasaran pada Toko Deli Point Melalui History Data Transaksi I Wayan Pio Pratama; Ondi Asroni
JPKMI (Jurnal Pengabdian Kepada Masyarakat Indonesia) Vol 4, No 3: Agustus (2023)
Publisher : ICSE (Institute of Computer Science and Engineering)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jpkmi.v4i3.669

Abstract

Abstrak: Program kegiatan masyarakat ini bertujuan untuk melatih karyawan Deli Point dalam menerapkan teknik data science untuk meningkatkan efisiensi bisnis. Pelatihan dilakukan dengan mengajarkan karyawan untuk memanfaatkan salah satu Tools yang telah dikembangkan sebagai alat untuk melakukan olah data dan memberikan rekomendasi terkait penempatan item dan strategi pemasaran. Tool berbasis web tersebut memanfaatkan algoritma FP-Growth dan dikembangkan menggunakan Python Flask. Pelatihan dilakukan melalui observasi situs web Deli Point, komunikasi dengan karyawan melalui WhatsApp, dan melakukan sesi pelatihan tatap muka untuk menjelaskan sistem dan kemampuannya. Hasil pelatihan menunjukkan peningkatan kemampuan karyawan dalam menerapkan teknik analisis data dan memanfaatkannya untuk mendukung pengambilan keputusan yang lebih baik. Kesimpulannya, pelatihan data science merupakan hal yang penting untuk meningkatkan efisiensi bisnis dan memberikan keuntungan kompetitif.Abstract: This is a community service program aimed at training Deli Point employees in applying data science techniques to improve business efficiency. The training was conducted by teaching employees how to use a Tool developed as a means of data processing and providing recommendations related to item placement and marketing strategy. The web based Tool utilize the FP-Growth algorithm and was developed using Python Flask. The training was carried out through observation of the Deli Point website, communication with employees via WhatsApp, and in-person training sessions to explain the system and its capabilities. The results showed an improvement in employees' ability to apply data analyst techniques and use them to support better decision making. In conclusion, data science training is important to improve business efficiency and provide a competitive advantage. 
Blockchain Technology: A comprehensive review of technical characteristics, applications, and challenges I Wayan Pio Pratama; Ondi Asroni
Jurnal Penelitian Terapan Mahasiswa Vol 1 No 1 (2023): Jurnal Penelitian Terapan Mahasiswa
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik eLBajo Commodus

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Abstract

Blockchain technology has gained significant attention in recent years due to its potential to transform a wide range of industries. This review aims to comprehensively analyze blockchain technology's technical characteristics, applications, challenges, and limitations as addressed in academic literature published between 2014 and 2021. A total of 50 articles were included in the review after being evaluated for relevance, quality, originality, clarity, and practical or theoretical implications. The results of the review indicate that research on blockchain has progressed significantly in the past decade, with a wide range of studies exploring its technical characteristics, potential applications, and challenges and limitations. Technical characteristics of blockchain include its decentralized nature, the use of cryptographic techniques, and its potential to improve efficiency and reduce the need for intermediaries. Potential applications of blockchain include finance, supply chain management, and healthcare. Challenges and limitations of blockchain include scalability, energy consumption, regulatory issues, and risks and uncertainties. The results suggest that while blockchain technology has the potential to transform industries, there is still much work to be done to address its challenges and ensure its responsible deployment.
Standarisasi Z-Score sebagai Pendekatan Alternatif dalam Evaluasi Prestasi Akademik Mahasiswa: Studi Kasus di Politeknik eLBajo Commodus I Wayan Pio Pratama
Jurnal Penelitian Terapan Mahasiswa Vol 1 No 2 (2023): Jurnal Penelitian Terapan Mahasiswa
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik eLBajo Commodus

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Abstract

Studi ini bertujuan untuk mengevaluasi prestasi akademik mahasiswa di Politeknik eLBajo Commodus dengan menggunakan metode standarisasi Z-Score. Analisis awal dari data IPK menunjukkan variasi yang signifikan antara program studi, yang menimbulkan kebutuhan akan metode evaluasi yang lebih adil. Metode standarisasi Z-Score diaplikasikan untuk mengidentifikasi 10 mahasiswa terbaik dari berbagai program studi. Hasil standarisasi memperlihatkan daftar mahasiswa yang lebih beragam dalam representasi program studi dibandingkan daftar berdasarkan IPK mentah. Studi ini merekomendasikan penerapan metode Z-Score sebagai kriteria evaluasi prestasi akademik untuk tujuan seperti seleksi beasiswa, penghargaan akademik, dan analisis internal guna meningkatkan kualitas pendidikan.
Co-Authors Ondi Asroni