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All Journal Jurnal Teknologi Pendidikan Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Mantik Penusa Jurnal Teknik Informatika UNIKA Santo Thomas JIPN (Journal of Informatics Pelita Nusantara) Jurnal Mantik Kumawula: Jurnal Pengabdian Kepada Masyarakat INFOKUM Jurnal Scientia MEANS (Media Informasi Analisa dan Sistem) Journal of Computer Networks, Architecture and High Performance Computing Jurnal Pengabdian kepada Masyarakat Nusantara Journal Zetroem Instal : Jurnal Komputer Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) JURNAL TEKNOLOGI INFORMASI & KOMUNIKASI DALAM PENDIDIKAN
Hutahaean, Harvei Desmon
Universitas Negeri Medan
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Physics Social Sciences

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Journal : INFOKUM

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SALES LEVEL FORECASTING OF JASMINE FLOWERS WITH EXPONENTIAL SMOOTHING METHOD Harvei Desmon Hutahaean; Muhammad Dominique Mendoza; Charles Fransiscus Ambarita
INFOKUM Vol. 10 No. 4 (2022): October, computer, information and engineering
Publisher : Sean Institute

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Abstract

The forecasting process is used to support the decisions of a company to get maximum profit. The sales of jasmine flowers have been growing rapidly lately, especially for the needs of environmental friendly decorative plants sector. It is necessary to predict the sales value of these flowers to prevent loss in business income during Covid-19 pandemic. The Exponential Smoothing method has been widely used for forecasting because it has a fairly good performance. The Exponential Smoothing method has several alpha parameters that are used, namely 0.1; 0.5; 0.9 to support calculations that will be used in forecasting. With these methods, calculations can be carried out to find the best optimal value with the smallest error rate. The chosen forecasting method is used to forecast jasmine flowers sales. Based on the results of the MAD (Mean Absolute Deviation) calculation, it can be seen that the smallest MAD value can be obtained at a value of α = 0.1, is 61.17. Forecasting the sale of jasmine flowers using the Exponential Smoothing method is most suitable for UD. Susan Melati with a value of α = 0.1. This shows that the historical pattern of actual data does not fluctuate or is relatively stable over time.
DEVELOPMENT OF PROBLEM BASED LEARNING (PBL) CHEMISTRY LEARNING MODULE ON SOLUBILITY AND SOLUBILITY PRODUCTS IN CLASS XI SMA NEGERI 15 MEDAN Freddy Tua Musa Panggabean; Juan Samuel Simanjuntak; Harvei Desmon Hutahaean; Jamalum Purba; Ani Sutiani
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

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Abstract

This study aims to determine the development of a chemistry learning module based on Problem Based Learning (PBL) on Solubility and Solubility Products in Class XI SMA Negeri 15 Medan. The sample in this study consisted of one class consisting of 30 students who were taught using the Problem Based Learning model. The instrument used is a test in the form of essay questions. The results showed that 1) the learning module based on Problem Based Learning on the material solubility and solubility product of chemistry learning which was developed based on expert judgment had met the BSNP eligibility standard, the average validation results obtained an average content feasibility score (3.84), the feasibility language (3.75), feasibility of presentation (3.75) and feasibility of graphics (3.76); 2) based on the assessment of teacher and student responses that have met the BSNP eligibility standards obtained based on material (3.84), appearance (3.87) and benefits (3.69); 3) student learning outcomes after being taught using Problem Based Learning chemistry learning modules are higher than the KKM (75) with an average of 81.07.
Co-Authors Agus Junaidi Ali Akbar Lubis Anastasya Aritonang Rajagukguk Ani Sutiani Bakti Dwi Waluyo Bosker Sinaga Charles Fransiscus Ambarita Dani Solihin, Muhammad Denny Haryanto Sinaga Eddiyanto Eddiyanto Erita Astrid Freddy Tua Musa Panggabean Hamzah, Afif Harahap, Vivi Ramayanti Hasugian , Paska Marto Hengki Tamando Sihotang Hesti Fibriasari Jamalum Purba Jongga Manullang Juan Samuel Simanjuntak Juniar Hutahaean Lahagu, Amin Setiawan Laksanama Nur Ramadhan Lia Maharani Lubis Lisa Melvi Ginting Lubis, Azmi Rizki Lubis, Lia Maharani Marsangkap Silitonga Marsangkap Silitonga Maulana, Bagoes Mega Silfia Dewy, Mega Silfia Mendoza, Mhd. Dominique Mendoza, Muhammad Dominique Mufti Sudibyo, Mufti Muhammad Aulia Rahman Sembiring Muhammad Dani Solihin Muhammad Isnaini Muhammad Isnaini Muhammad Sulaiman Mutiara Agustina Nst Puji Prastowo, Puji Purba, Julio Aldrin R. Mahdalena Simanjorang Rahman Sembiring, Muhammad Aulia Rais, Muhammad Amin Rebecca Lyana Elisabeth Reni Rahmadani Rianni Yuni Sinaga Riz Rifai Oktavianus Sasue Rosma Siregar S, Muhammad Aulia Rahman Sari, Ressy Dwitias Sihite, Onggal Sihombing, Gracia Napare Silitonga, Marsangkap Simarmata, Janner Sintia Natalia Br Sinulingga Syahputra, Ricky Andi Syarifuddin Syarifuddin Tonggo Sinaga, Tonggo Veronica Elisabeth Simatupang Wahyu Simangunsong Zuhairiah Nasution, Zuhairiah