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All Journal Jurnal Mantik Penusa JurTI (JURNAL TEKNOLOGI INFORMASI) JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JOURNAL OF SCIENCE AND SOCIAL RESEARCH Building of Informatics, Technology and Science Jurnal Teknik Informatika (JUTIF) Jutsi: Jurnal Teknologi dan Sistem Informasi J-Com (Journal of Computer) Jurnal Ipteks Terapan : research of applied science and education Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat
Nuriadi Manurung
Sekolah Tinggi Informatika Dan Komputer Royal
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Journal : Jurnal Teknik Informatika (JUTIF)

 1 
THE BEST HARVESTERS ASSESSMENT SYSTEM AT PT. PADASA ENAM UTAMA BY SIMPLE ADDICTIVE WEIGHTING (SAW) METHOD Trika Ayu Intan Sari; Nuriadi Manurung; Santoso
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 2 (2022): JUTIF Volume 3, Number 2, April 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.2.177

Abstract

The selecting of best harvesters at PT. Padasa Enam Utama have been using a manual method so that the announcement of reward results is often delayed. The purpose of this research was application of the simple addictive weighting (SAW) method which has the opportunity to facilitate the management of PT. Padasa Enam Utama to determine the best harvester and make it easier to display reward results to employees. The research method was carried out using the SAW method with the research stages consisting of data collection, analysis, system design, system development. The results of this study that SAW value referring to the criteria for harvesters who deserve to receive rewards according to the relevant data. The results were namely 3 harvesters, Selamet, Agun, and Ateng with the highest SAW value were respectively 0.7647, 0.6235 and 0.5411. This study concluded that SAW method can help CQC (Crop Quality Control) in determining the best harvesters who deserved a reward.
IMPLEMENTATION OF K-MEANS CLUSTERING ANALYSIS TO DETERMINE BARRIERS TO ONLINE LEARNING CASE STUDY: SWASTA YAPENDAK TINJOWAN JUNIOR HIGH SCHOOL Dinah Adillah; Nuriadi Manurung; Ari Dermawan
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 3 (2022): JUTIF Volume 3, Number 3, June 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.3.189

Abstract

The grouping of online learning barriers to students during the covid-19 pandemic will result in clusters of students with the same characteristics in each cluster. The purpose of this study is to assist schools in determining online learning barriers for students during the covid-19 pandemic, so that with this clustering students with high levels of online learning barriers will get additional face-to-face hours.face-to-face learning so as to create an effective learning process. The method used in this study was a data mining technique, which uses the k-means clustering algorithm. This study uses the k-means clustering algorithm because this algorithm is more effective and efficient in processing large amounts of data, so this algorithm has a high enough accuracy for object size and the k-means algorithm is not affected by the order of objects. Testing the data using Microsoft Excel as a manual test and the PHP programming language and MySQL database. The results of this study were in the form of 2 clusters, C1 (low cluster) as many as 4 students who are hampered during online learning, and C2 (high cluster) as many as 16 students who are not hampered during online learning. The conclusion of this study was using of the k-means clustering algorithm can facilitate the grouping of online learning barriers for students at Swasta Yapendak Tinjowan Junior High School.
FORECASTING THE GOLD JEWELRY SALES USING SINGLE EXPONENTIAL SMOOTHING METHOD Nur Ariza; Nuriadi Manurung; Masitah Handayani
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 6 (2022): JUTIF Volume 3, Number 6, December 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.6.395

Abstract

Gold is a precious metal that plays an important role in people's daily lives. People use gold jewelry as a dowry so that gold is sought after, such as earrings, necklaces, pendants, bracelets, rings and others. However, buying and selling gold jewelry at a gold jewelry store has a different strategy. Gold sellers must carry out the gold jewelry production process to meet gold jewelry supplies and market demand. The results of the sale of gold jewelry sometimes increase and decrease every day which cannot be predicted every day, so this can affect the store to find out the profits and losses that will be obtained in the future. The purpose of this study was to determine the results of forecasting sales of gold jewelry at the Yoga Gold Shop using the single exponential smoothing method in the coming month. The results of this study resulted in March 2022 9 carat gold jewelry totaling 4191.16 grams with a 3.01% MAPE, 10 carat gold totaling 2095.53 grams with a 3.01% MAPE, Surabaya gold 1047.76 grams with a 3.03% MAPE and london gold jewelery 523.83 grams with a MAPE of 3.41%. So it can be concluded that applying the single exponential smoothing method can help in predicting the sales results of gold jewelry.
Co-Authors Adi Prijuna Lubis Akmal Alfi Noviandi Ari Dermawan Bachtiar Efendi Chitra, Latiffani Dinah Adillah Edi Kurniawan Fahrunnisa Fahrunnisa Kifti, Wan Mariatul Masitah Handayani Mhd. Ihsan Mohd Siddik Muhammad Amin Muhammad Ardiansyah Sembiring Nasrun Marpaung Nasution, Akmal Nofriadi Nofriadi Nur Ariza Nurul Rahmadani Putri Anisa Shopia Rahayu, Elly Rehani Aulia Sihotang Ricki Ananda Riski Arianto Rolly Yesputra Ruri Ashari Dalimunthe Sahren Santoso Santoso Sri Okta Purnamasari Sri Wahyuni Nasution Taufiq Widyanto Trika Ayu Intan Sari Widya Ayu Paramita