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All Journal JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) eProceedings of Engineering

Putu Giri Artha Kusuma

Telkom University

Author-ID : 1733571

Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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PREDIKSI STATUS PENGIRIMAN BARANG MENGGUNAKAN METODE MACHINE LEARNING Hardian Kokoh Pambudi; Putu Giri Artha Kusuma; Femi Yulianti; Kevin Ahessa Julian
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 6 No. 2 (2020)
Publisher : Universitas Widyatama

One of the key performance indicators for the logistics industry, especially freight forwarder company (cargo), is the delivery time. This is still a challenge in this industry in terms of ensuring the customer service level and reducing transportation costs. On the other hand, the development of information technology now allows an organization or company to collect large amounts of data automatically. A decent method that can be used to analyze the data for prediction purposes is machine learning, which is a method of extracting data into a certain pattern of information. This research aims to apply three machine learning methods to estimate the status of shipping goods. The method used in this study follows the machine learning process published by the Cross Industry Standard Process for Data Mining (CRISP-DM), namely; business processes understanding, data understanding, data preparation, model development, evaluation, and implementation. Based on the results of the study, the random forest method produces better accuracy than the logistic regression and artificial neural network (ANN) methods, which is 76.6%, while the results of ANN and logistic regression methods are 73.81% and 72.84% respectively.

PERANCANGAN ULANG MODEL RANTAI PASOK PASAR TRADISIONAL DIGITAL Putu Giri Artha Kusuma; Hardian Kokoh Pambudi; Femi Yulianti
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 6 No. 3 (2020)
Publisher : Universitas Widyatama

Pasar tradisional memiliki peranan yang sangat penting bagi masyarakat maupun pemerintah. Kondisi pandemik Covid-19 yang terjadi saat ini memaksa adanya perancangan ulang terhadap rantai pasok yang tahan terhadap perubahan kondisi lingkungan yang menuntut para pihak berinteraksi secara terbatas. Terbatasnya interakasi ini telah menyebabkan terjadinya penurunan laju perekonomian pada triwulan I-2020 dibandingkan triwulan I-2019. Pertumbuhan ekonomi pada triwulan I-2020 adalah sebesar 2,97% (y.o.y), sedangkan pada triwulan I-2019 adalah sebesar 5,07%. Perancangan ulang dilakukan dengan melakukan analisis dan sintesis literatur terkait. Model SCOR dengan mempertimbangkan atribut strategis yaitu Keandalan, Responsif, Agility, Biaya dan Aset menjadi acuan utama pada penelitian ini. Perancangan ulang difokuskan pada sisi distribusi yang menghasilkan dua aktor baru pada rantai pasok pasar tradisional yaitu penyedia layanan pengiriman online dan penyedia layanan pembayaran online. Penyedia layanan pengiriman online mendukung kelancaran arus barang pada sisi distribusi rantai pasok pasar tradisional. Penyedia layanan pembayaran online mendukung kelancaran arus uang, dan transparansi transaski antar aktor. Penyesuaian proses bisnis antar aktor pada sisi distribusi rantai pasok pasar tradisional juga dilakukan pada penelitian ini.

Co-Authors Fadhlullah Asmandha, Rafi Hardian Kokoh Pambudi Ilham Akbar Isra Oktavia, Nur Kevin Ahessa Julian Khairunnisa, Salma Luciana Andrawina Meidy Tataluckyta Muhammad Nashir Ardiansyah Muhammad Stivandry Wilandria Syofrinaldy Nia Novitasari Nova Indah Saragih Pramesti , Dayaning Daffa Rahma Putri, Annisa Rio Aurachman Rizkiansyah, Muhammad Nabil Rosaldi, Benny Alfani Salsabila, Tiara Rizky Saragih , Nova Indah Swandari, Anak Agung Citra Yulianti, Femi Zahra, Arifa Fadhillah

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