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Santoso Santoso
Sekolah Tinggi Manajemen Informatika Dan Komputer Royal
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Journal : Jurnal Teknik Informatika (JUTIF)

 1 
ANALYSIS OF PROFILE MATCHING METHOD FOR COMPUTER-BASED NATIONAL ASSESSMENT PROCTOR SELECTION DSS AT SDN 013863 SILO BONTO andikaramdani; Adi Prijuna Lubis; Santoso
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 1 (2022): JUTIF Volume 3, Number 1, February 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.1.136

Abstract

In the implementation of a computer-based national assessment, a proctor is needed to control the assessment process so that it runs well. The selection of proctors is carried out by each educational unit, where the problem is that the selection is still done manually with unclear criteria assessment and lack of transparency in the assessment so that it is considered less than optimal. For this reason, a decision support system was created to assist each educational unit in selecting a proctor. The method used is the profile matching method, namely the profile matching method which is assessed with the assessment criteria. The research method used is a quantitative method, which is a method that uses calculations to get values ​​to determine the results of a study. Data collection techniques using interview methods, observation methods and literature study. Based on the calculation of the value in the selection of proctors with the profile matching method, it shows that the profile matching method has succeeded in obtaining the results of the assessment effectively and efficiently so that the selection of the proctor based on the highest assessment results can be carried out quickly and accurately.
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 FORECASTING EXPONENTIAL SMOOTHING IN THE NUMBER OF NEW STUDENT PREDICTION INFORMATION SYSTEM AT SMK AL MA'SHUM Suci Sulistia; Muhammad Amin; Santoso
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.2022.3.6.431

Abstract

SMK Al Ma'shum annually conducts socialization and promotions in junior high schools. Prediction of the number of prospective new students is one of the most important things in the evaluation process or high cognitive at SMK Al Ma'shum. This serves to determine the priority of how many prospective students will be accepted, where the number of students sometimes tends to decrease and increase. This makes the school must try to estimate the number of new students from each of these majors next year will increase or decrease. If this is not done by the school, it will have an impact on the operational costs of the school. The goal is to predict the number of prospective new students who will be accepted at the Al Ma'shum Vocational School next year using the forecasting exponential smoothing method. The prediction system for new students at the Al Ma'shum Vocational School uses the PHP and MySQL programming languages ​​to help the forecasting process be fast and accurate. The prediction results for 2022 are accounting majors as many as 19.23 new students with MAPE 20.52%, computer and network engineering majors as many as 102.73 new students with MAPE 9.12% and motorcycle engineering majors as many as 76 new students with MAPE 25.53 %. So it can be concluded that the forecasting exponential smoothing method can help predict new students at SMK Al Ma'shum.
Co-Authors Ade Dili Lestari Adi Prijuna Lubis Agus, Raja Tama Andri AKMAL HUDHA TANJUNG Alan Wahyuda Nasution Amalia Amalia andikaramdani Apriaji Kurniawan Badaruddin, Muliati Dewi ANGGRAENI Dinda Dwi Amara Fahdrina, Jihan Aulia Putri Feby Wulandari Sembiring Helmiah, Fauriatun Iqbal Kamil Siregar Kateren, Futri Kifti, Wan Mariatul Muhammad Amin Niki Fazira Nuriadi Manurung Nurwati Nurwati Rahayu, Elly Riki Andri Yusda Rohminatin Rohminatin Rolly Yesputra Sri Ayu Rizky Suci Sulistia Suparmadi S Syafaat Sufi Lubis Syahira Syahira Tri Anjar Ningsih Trika Ayu Intan Sari William Ramdhan Zulfan Efendi