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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JSiI (Jurnal Sistem Informasi) JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Riset Informatika EDUMATIC: Jurnal Pendidikan Informatika Building of Informatics, Technology and Science JTIK (Jurnal Teknik Informatika Kaputama) JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Jurnal Teknik Informatika (JUTIF) Jutsi: Jurnal Teknologi dan Sistem Informasi Jurnal Abdimas ADPI Sains dan Teknologi J-Com (Journal of Computer) Jurnal Ipteks Terapan : research of applied science and education Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Journal Of Computer Science And Technology Journal Of Indonesian Social Society Jurnal Ilmiah Multidisiplin Nusantara Interaksi : Jurnal Pengabdian Kepada Masyarakat Fusion : Journal of Research in Engineering, Technology and Applied Sciences
Havid Syafwan
Sekolah Tinggi Manajemen Informatika Dan Komputer Royal
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Journal : Jurnal Riset Informatika

 1 
IMPLEMENTATION OF SIMPLE ADDITIVE WEIGHTING TO DETERMINE THE BEST EMPLOYEES IN THE CAMAT TINGGI RAJA OFFICE Cindy Eka Putri; Havid Syafwan; Muhammad Ihsan
Jurnal Riset Informatika Vol 4 No 4 (2022): Period of September 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (901.113 KB) | DOI: 10.34288/jri.v4i4.426

Abstract

Decision-making for the best employees in Camat Tinggi Raja Tinggi Office requires objective and transparent considerations to select the best employees. This study aimed to apply the Simple Additive Weighting (SAW) method to determine the best employees in Camat Tinggi Raja Tinggi Office. This research method used quantitative methods. The data collected was in the form of employee data of the Raja Tinggi Subdistrict Office in the form of names, attitudes, work discipline, loyalty, responsibilities, and task completion. Data were analyzed using the SAW method based on preference values. The results showed that the employee with the name S had the highest preference value, 0.88. This research concludes that the SAW method decides the best employee in Camat Tinggi Raja Tinggi Office, namely the employee with the name S
FORECASTING OYSTER MUSHROOM SALES USING THE DOUBLE EXPONENTIAL SMOOTHING METHOD AT KUB RUMAH MUSHROOM BERSAMA Winda Wulandari; Havid Syafwan; Muhammad Ihsan
Jurnal Riset Informatika Vol. 4 No. 4 (2022): September 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (912.963 KB) | DOI: 10.34288/jri.v4i4.191

Abstract

The amount of oyster mushroom production is often not by consumer orders due to a lack of attention to the mushroom stock in the Mushroom House KUB. The purpose of this study is to apply double exponential smoothing (DES) to predict future sales of oyster mushrooms so that consumer needs are met. This research method uses quantitative methods. The data source comes from data on sales of oyster mushrooms from June 2021-May to 2022. The data is analyzed using double exponential smoothing based on alpha and MAPE values. The results showed that an alpha of 0.6 with a MAPE value of 6.23% was the alpha with the smallest MAPE. This study concluded that the double exponential smoothing method could accurately predict future oyster mushroom sales.
IMPLEMENTATION OF SIMPLE ADDITIVE WEIGHTING TO DETERMINE THE BEST EMPLOYEES IN THE CAMAT TINGGI RAJA OFFICE Cindy Eka Putri; Havid Syafwan; Muhammad Ihsan
Jurnal Riset Informatika Vol. 4 No. 4 (2022): September 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v4i4.192

Abstract

Decision-making for the best employees in Camat Tinggi Raja Tinggi Office requires objective and transparent considerations to select the best employees. This study aimed to apply the Simple Additive Weighting (SAW) method to determine the best employees in Camat Tinggi Raja Tinggi Office. This research method used quantitative methods. The data collected was in the form of employee data of the Raja Tinggi Subdistrict Office in the form of names, attitudes, work discipline, loyalty, responsibilities, and task completion. Data were analyzed using the SAW method based on preference values. The results showed that the employee with the name S had the highest preference value, 0.88. This research concludes that the SAW method decides the best employee in Camat Tinggi Raja Tinggi Office, namely the employee with the name S.
Co-Authors Abdul Azis Ubaidillah Afdhal Syafnur Akmal Akmal Akmal Akmal Andri Nata Andrinata Andrinata Anisa Bahari Apridonal , Yori Aqli Fatona Ari Arfika Pratiwi Ari Dermawan Bagus Lesmana Bahari, Anisa Cecep Maulana Chitra, Latiffani Cindy Eka Putri Cindy Eka Putri Diana Putri Ramadhani Dinda Pratiwi Effendi, Zulfan Elisa Maysaroh Purba Evi Surya Ningsih Fachri Nur Ramadhan Fatona, Aqli Febri Dristyan Febriyaningsih Siagian Gusrina Surianingsih Handayani, Masitah Harahap, Indra Ramadona Helmiah, Fauriatun Hidayanti, Deni Andria Hylmi Fauzan Nasution Latiffani, Chitra Lesmana, Bagus Masitah Handayani Mhd. Ihsan Muhammad Ihsan Muhammad Ihsan Mutia Hannisyah Putri Lubis mutiara tiara Nasution, Akmal Nindi Lisnawati Nofriadi Nofriadi Nur Wati Nurkarim Nehe Nurmala Sari Nurwati Nurwati Pristiyanilicia Putri Purnama, Rezeki Putri, Pristiyanilicia Ragil Andika Putra Rahayu, Elly Ramadani, Dilla Ramadhan, Fachri Nur Riki Andri Yusda Rohminatin Rohminatin Safaria, Sayendra SANTOSO SANTOSO Sapta, Andy Sayendra Safaria Siagian, Febriyaningsih Sihite, Ingrid Sartika Putriayu Simbolon, Cindy Victorya Sri Rezki Maulina Azmi Sutrisman Sutrisman Syafnur, Afdhal Syafwan, Mahdhivan syahrul, muhammad Tika Christy Wendra, Yumai William Ramdhan Winda Wulandari Yuli Agustina, Yuli Yumai Wendra