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All Journal International Journal of Economics, Business and Accounting Research (IJEBAR) Studi Kasus Inovasi Ekonomi Indonesian Journal of Cultural and Community Development
Widhiyo Sudiyono
Universitas Muhammadiyah Malang
Humanities Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Social Sciences

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 1 
Strengthening the Family Economy with Assistance in Marketing and Processing of Cassava Chips in Wonokerto Village Trenggalek, Indonesia Novi Puji Lestari; Widhiyo Sudiyono
Indonesian Journal of Cultural and Community Development Vol 9 (2021): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (289.32 KB) | DOI: 10.21070/ijccd2021705

Abstract

Community service in the context of Marketing Assistance and cassava processing as a family economic booster in Wonokerto Trenggalek village. Cassava or cassava is a source of local carbohydrates in Indonesia which ranks third after rice and corn. This plant is the most potential raw material so that cassava has the potential as an important raw material for various food and industrial products. Cassava has a high carbohydrate content so it is considered a substitute for rice in some villages. The availability of cassava in some villages is finally considered as a normal and boring thing by the villagers or even the children who really don't like cassava or cassava. Related to this, it is necessary to have interesting cassava products that make people or children want to eat them. Based on these conditions, the service activity carried out by the team from the University of Muhammadiyah Malang aims to provide training on processing cassava into products that are worth selling such as chips. or cassava crackers and focus on marketing assistance such as packaging and branding on products so that they can be sold to various regions to help improve the economy of families in the village. active in preserving traditional specialties made from cassava.
THE APPLICATION OF ARTIFICIAL INTELINGENCE IN DJIA STOCKS TO IMPROVE THE INVESTMENT PROFITABILITY USING PHYTON Widhiyo Sudiyono
International Journal of Economics, Business and Accounting Research (IJEBAR) Vol 6, No 2 (2022): IJEBAR, VOL. 06 ISSUE 02, JUNE 2022
Publisher : LPPM ITB AAS INDONESIA (d.h STIE AAS Surakarta)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijebar.v6i2.4790

Abstract

Technological developments, competitive economics climate and demanding competition have led the investment industry to experienced rapid and continuous development in the last few decades. Some of the rapid and continuous key developments are transformation in financial microstructures, development of investment strategies, the progression in computing capacity and the new trend of the investment performance of pioneers in algorithmic traders surpassing that of the human, discretionary investors (Jansen, Stefan 2017) These four key factors have driven the investment company and hedge fund to develop algorithmic trading methods even further to achieve a more stable and reliable profit over time. Therefore, to manifest aforementioned concerns, this research will conduct the process of building hybrid machine learning in Dow Jones Industrial Average stocks by using Long Short Term Memory (LSTM) Method to improve the investment profitability using phyton programming language. The Result of this research shows that the prediction made by the software has acceptable rate of errors. The several measurements of errors used are namely, Median Absolute Error, Mean Absolute Percentage Error and Median Absolute Percentage Error. Keywords: Artificial Intelligence, Stock Market, Data Science , LSTM, Phyton
RISK AND RETURN MANAGEMENT OF SHARIA STOCKS IN JAKARTA ISLAMIC INDEX FOR THE PERIOD OF 2009 – 2019 USING MARKOWITZ PORTOFOLIO MANAGEMENT Widhiyo Sudiyono
International Journal of Economics, Business and Accounting Research (IJEBAR) Vol 5, No 1 (2021): IJEBAR, VOL. 5, ISSUE 01, MARCH 2021
Publisher : LPPM ITB AAS INDONESIA (d.h STIE AAS Surakarta)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijebar.v5i1.1699

Abstract

To reduce risk in investment and at the same time optimize the returns, it is necessary to establish a series of stocks that have high returns, as well asto select a series of stock with negative variance to reduce the risk. In this research, an efficient frontier approach by Harry Markowitz will be applied to JII shares during the period 2009 - 2019 so that a portfolio with a low risk and optimal return can be formed to reduce risk and optimize return.
MANAJEMEN PEMBENTUKAN KEPRIBADIAN MUSLIM PANTI ASUHAN PUTRI AISYIYAH DI KOTA MALANG Ratih Juliati; Arfida Boedirochminarni; Widhiyo Sudiyono
Studi Kasus Inovasi Ekonomi Vol. 6 No. 01 (2022)
Publisher : Program Studi Manajemen, Fakultas Ekonomi dan Bisnis Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/skie.v6i01.20671

Abstract

Panti Asuhan Aisyiyah di Kota Malang adalah salah satu bagian dari masyarakat yang rentan mengalami kerusakan moral karena sebagian besar santrinya masih dalam usia 6 – 18 tahun yang tingkat kedewasaannya belum matang dan adanya paparan informasi baik positif maupun negatif melalui ponsel yang mereka gunakan. Mereka sangat membutuhkan uluran tangan karena kendala terbatasnya perhatian dan bimbingan dari orang tua maupun wali dari santri. Oleh karena itu pengabdi bertujuan untuk mengadakan Pelatihan Manajemen Pembentukan Kepribadian Muslim adalah untuk membentuk kepribadian para santri di Panti Asuhan Aisyiyah di Kota Malang untuk menjaga kepribadian para santri agar sesuai dengan aqidah dan nilai-nilai yang diajarkan dalam Islam. Pelatihan Majemen Pembentukan Kepribadian Muslim ini menggunakan pendekatan interdisipliner, antara lain dari aspek jasmani, kejiwaan dan kerohanian.  Manfaat dari penelitian ini menyentuh tiga aspek penting dalam pembentuk kepribadian muslim, yaitu aspek kejasmanian, aspek kejiwaan, dan aspek kerohanian yang luhur dengan tenaga utamanya adalah budi pekerti yang baik. Pada aspek kejasmanian; pelatihan ini bermanfaat membentuk kepribadian muslim melalui organ-organ anak dengan pembiasaan senam pagi dan pembiasaan sikap tubuh yang baik. Pada aspek kejiwaan, pelatihan ini bermanfaat untuk meningkatkan kemampuan santri dalam mengenali lebih dalam diri mereka sendiri agar mereka dapat mengelola diri mereka lebih baik lagi. Sementara pada aspek kerohanian, pelatihan ini bermanfaat menanamkan pembiasaan sholat dan istirahat tepat waktu dan pembiasaan komunikasi kepada Allah swt melalui doa. Luaran dari pelatihan ini adalah hasil analisis kepribadian masing – masing peserta pelatihan, rekomendasi jadwal harian untuk santri dan publikasi jurnal pengabdian.
THE APPLICATION OF ARTIFICIAL INTELINGENCE IN DJIA STOCKS TO IMPROVE THE INVESTMENT PROFITABILITY USING PHYTON Widhiyo Sudiyono
International Journal of Economics, Business and Accounting Research (IJEBAR) Vol 6, No 2 (2022): IJEBAR, Vol. 6 Issue 2, June 2022
Publisher : LPPM ITB AAS INDONESIA (d.h STIE AAS Surakarta)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijebar.v6i2.4790

Abstract

Technological developments, competitive economics climate and demanding competition have led the investment industry to experienced rapid and continuous development in the last few decades. Some of the rapid and continuous key developments are transformation in financial microstructures, development of investment strategies, the progression in computing capacity and the new trend of the investment performance of pioneers in algorithmic traders surpassing that of the human, discretionary investors (Jansen, Stefan 2017) These four key factors have driven the investment company and hedge fund to develop algorithmic trading methods even further to achieve a more stable and reliable profit over time. Therefore, to manifest aforementioned concerns, this research will conduct the process of building hybrid machine learning in Dow Jones Industrial Average stocks by using Long Short Term Memory (LSTM) Method to improve the investment profitability using phyton programming language. The Result of this research shows that the prediction made by the software has acceptable rate of errors. The several measurements of errors used are namely, Median Absolute Error, Mean Absolute Percentage Error and Median Absolute Percentage Error. Keywords: Artificial Intelligence, Stock Market, Data Science , LSTM, Phyton
Co-Authors Arfida Boedirochminarni Novi Puji Lestari Ratih Juliati