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All Journal JURNAL AKUNTANSI UNIVERSITAS JEMBER Al Tijarah JMM (Jurnal Masyarakat Mandiri) JOURNAL OF APPLIED ACCOUNTING AND TAXATION Media Mahardhika International Journal of Supply Chain Management JIAFE (Jurnal Ilmiah Akuntansi Fakultas Ekonomi) Jurnal Riset dan Aplikasi: Akuntansi dan Manajemen JURNAL AKUNTANSI, MANAJEMEN DAN EKONOMI IMANENSI: Jurnal Ekonomi, Manajemen dan Akuntansi Islam International Journal of Financial, Accounting, and Management International Journal of Economics, Business and Accounting Research (IJEBAR) International Journal of Economics Development Research (IJEDR) Jurnal Bina Akuntansi JBMR: Journal of Business and Management Review Journal of Sustainable Tourism and Entrepreneurship Jurnal Pengabdian Polinema Kepada Masyarakat Jurnal Abdimas Sangkabira Insearch: Information System Research Journal Journal of Applied Business, Taxation and Economics Reseach eCo-Fin East Asian Journal of Multidisciplinary Research (EAJMR) Jurnal Riset dan Aplikasi: Akuntansi dan Manajemen Applied Business and Administration Journal (ABAJ)
Riwajanti, Nur Indah
Jurusan Akuntansi, Politeknik Negeri Malang
Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Social Sciences Transportation Other

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Journal : Media Mahardhika

 1 
IMPLEMENTASI METODE EXPONENTIAL SMOOTHING UNTUK PERAMALAN KEDATANGAN WISATAWAN MANCANEGARA PADA PULAU BALI Nafis Sulthan; Nurafni Eltivia; Nur Indah Riwajanti
Media Mahardhika Vol. 18 No. 2 (2020): January 2020
Publisher : STIE Mahardhika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29062/mahardika.v18i2.145

Abstract

The purpose of this study is to predict the arrival of foreign tourists on the island of Bali by using the Exponential Smoothing method. This research is a quantitative descriptive. The data used in the study are data on foreign tourist arrivals from the air and sea routes taken from the Central Statistics Agency. Data is managed through the Microsoft Excel application. In determining the RMSE, the Solver Parameters help listed in Microsoft Excel is used to determine the lowest error rate. The data used in this study indicate that there are trend and seasonal patterns so that the most suitable Exponential Smoothing method is the Triple Exponential Smoothing method. The results of this study indicate that foreign tourist arrivals on the island of Bali are predicted to increase in 2020 although not too significant. The results of this study are expected to help the Bali Island government and related agencies in terms of planning and decision making to overcome the crisis on the island of Bali caused by the tourism sector.
ANALISIS PERAMALAN MENGGUNAKAN ARIMA PADA INDEKS HARGA PERDAGANGAN BESAR INDONESIA KELOMPOK KOMODITI PERTANIAN TAHUN 2000-2019 Bimo Setyawan; Nur Indah Riwajanti; Sidik Ismanu
Media Mahardhika Vol. 18 No. 2 (2020): January 2020
Publisher : STIE Mahardhika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29062/mahardika.v18i2.148

Abstract

Purpose of this research was to forecasting analysis using arima in indonesia's big trade price index group of agricultural commodities in 2000-2019. In this study aims to see the forecast prediction on the Agricultural Commodity Big Price Index in the next 1 years. In Indonesian economy, indicators for looking at economic development in general and as an ingredient in market and monetary analysis are by measuring the average intertemporal price changes of a package of goods in wholesale trade. In Indonesia in the period of 2000 until 2019, agricultural commodities in the index The Big Trade Price is the most dominant commodity among other commodities. This study uses method the Arima model with several stages of identifying, estimating, diagnosing and forecasting. the results of this study have shown that the arima model can forecast in the agricultural sector.
FORECASTING PRODUKSI PERIKANAN LAUT YANG DIJUAL DI TPI (TON) DENGAN METODE SINGLE EXPONENTIAL SMOOTHING Ivana Larasati Putri Navalina; Nur Indah Riwajanti; Sugeng Sulistyono; Ludfi Djajanto
Media Mahardhika Vol. 18 No. 2 (2020): January 2020
Publisher : STIE Mahardhika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29062/mahardika.v18i2.149

Abstract

The purpose of this study was to determine the results of forecasting the production of fish sold at TPI in 2018-2020. This is expected to help the government in the formulation of plans and strategies related to the production of marine fish to increase the GRDP of fisheries in Java (regional level) and fisheries GDP in Indonesia (national level) and to contribute in the field of information and macroeconomics. This research used descriptive quantitative research and used data obtained through the official website of the Central Statistics Agency. This study used the Single Exponential Smoothing method. The results of this study have shown that the areas with the lowest sea fish production are in the DI Yogyakarta area, so the government must devise a strategy to maximize fish production in order to increase the PRDB contribution in Yogyakarta.
TRIPLE EXPONENTIAL SMOOTHING: FORECASTING PERBANDINGAN PENUMPANG KERETA API DAN PESAWAT TERBANG Khoirin Azaro; Nur Indah Riwajanti; Anik Kusmintarti
Media Mahardhika Vol. 18 No. 2 (2020): January 2020
Publisher : STIE Mahardhika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29062/mahardika.v18i2.156

Abstract

This research aims to predict the number of train and airplane passengers in 2020. Forecasting of train and airplane passengers is interest to analyze and estimate consumer demand to help the train or airline company prepare effective and efficient planning. This type of research is descriptive quantitative and uses data taken from the Indonesian Statistic Agency (BPS). Data were analyzed using Exponential smoothing Method. Train and airplane passenger data shows trend and seasonal patterns so that the exponential method used is Triple Exponential smoothing. The results of the study show that train passengers in 2020 are increase. While forecast results related to aircraft passengers in 2020 also tend to increase.
Co-Authors Andi Kusuma Indrawan Apit Miharso Ari Kamayanti Asdani, Andi Asminah Rachmi Aulia Hafiida Ade Yolandra Bakhrudin, Bakhrudin Bimo Setyawan Birra Lailatul Nafiisa Diva Wahyu Syaputri Diva Djajanto, Ludfi Elvyra Handajani Elvyra Handayani Ernawati, Widi Dwi Erycha Puspitasari Faatin, Faradiba Nurjannah Farah Ayu Mufida Fita Setiadi Fita Setiati HARI PURNOMO Haris, Zainal Abdul Heni Febriyanti Himmah Ivana Larasati Putri Navalina Jaswadi Jaswadi Jaswadi JASWADI, Jaswadi Kadir, Eka Yuli Kartika D.S. Susilowati Kartika DS Susilowati Khoirin Azaro Kuni Utami Handayawati Kurnia Ekasari Kusmintarti, Anik Kusmintarti, Anik Ludfi Djajanto Marta Dwi Yana Marta Dwiyana Mayasir Aziza Merry Hanif Rahma Muhamad Muwidha Muhammad Muwidha Muhammad Muwidha Nafis Sulthan Novan Bastian Dwi Ardha Nugrahani, Novi Nurafni Nurafni Eltivia Nurafni Elvitia Nurafni, Nurafni Eltivia Pratama, Bagas Brian Putri Ayu Berlianingtyas Putri, Yayang Novealita Wahono Retnaning Ayu Dyah Sawitri Retno Widiastuti Rilah, Fitri Nur Rilah, Fitri Nur Sawitri, Retnaning Ayu Dyah Setyawan Eko Wardaya Shanti Rahayu Kusuma Ningrum Sidik Ismanu Sinta Fatmaria Tantri Soedarso, Elvyra Handayani Sugeng Sulistyono Sumiadji - Susilowati, Kartika D.S. Susilowati, Kartika Dewi Sri Sutrisno, Sutrisno Syaputri, Diva Wahyu Syefira Ramadhani Yusna