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Journal : INFORMAL: Informatics Journal

Sistem Pendukung Keputusan Seleksi Beasiswa Situbondo Unggul Menggunakan Metode Simple Additive Weighting dan Profile Matching Moh Febri Nurul Qorik; Slamin Slamin; Priza Pandunata
INFORMAL: Informatics Journal Vol 3 No 1 (2018): INFORMAL - Informatics Journal
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v3i1.9853

Abstract

This study is about the use of simple additive weighting (SAW) and profile matching methods for the construction of information systems supporting the decision selection of scholarships. The case study of this research is the selection of superior situbondo scholarships in the Education Office of Situbondo Regency. The purpose of this study was to apply the profile matching method and SAW in resolving the problem of selecting the Situbondo Superior Scholarship recipients who had 2 aspects of assessment, namely aspects of poverty and academics which made it difficult to select scholarships, this difficulty is caused by the value of the aspect of poverty must be the smaller the difference in the value of students with the value of the scholarship it will be better while the academic value must go far beyond the minimum value, the better. The profile matching method is used to calculate the value of the aspect of poverty and SAW is used to calculate the value of the academic aspects. To determine the final results of this study using the criteria for decision-making scale determined by the District Education Office of Situbondo, one of the final methods of the method is less than 30 worth not funded, one of the final method values less than 60 is considered to be funded. The development of information systems supporting superior decision making for the Situbondo scholarship using the profile matching and simple additive weighting methods using a website-based system with system design using the SDLC waterfall model, implementation of the system using the laravel framework and program code using the hypertext pre-processor programming language (PHP ), while for managing the database using MySQL DBMS and system testing using black box and white box ( testing unit). The results of this research method of profile matching and simple additive weighting can be applied properly in a superior situbondo scholarship decision support system.
Rancang Bangun Aplikasi Customer Relationship Management (CRM) Untuk Identifikasi Tingkat Kepuasan Pelanggan Pada Perusahaan PT. TIKI Jalur Nugraha Ekakurir (JNE) Agen Mastrip Jember Menggunakan Metode K-Means Clustering Moch Bustommy Maulana; Slamin Slamin; Oktalia Juwita
INFORMAL: Informatics Journal Vol 2 No 2 (2017): INFORMAL - Informatics Journal
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The level of customer satisfaction is a benchmark to get a better benefit. One of the strategies that relates to creation of customer satisfaction is customer relationship management (CRM). Tiki Jalur Nugraha Ekakurir (JNE) Ltd. in Mastrip Jember agency is a company that experienced consumers degression after the emergence of competitors that offered better services. Because of that it is necessary to evaluate the service quality, facilities, and rates compatibility that can affect customer satisfaction. Therefore, CRM method is needed to know the level of customer satisfaction. Questionnaire is used as the method to collect the customers’ responses as the data. After that, the data which is the questionnaires that contain the customer’s responses is processed using K-Means clustering method as the grouping algorithm of respondents. K-means is algorithm clustering by grouping the data which has similar criteria by determining the center point of the cluster (centroid). There are 4 Clusters, the first cluster has a role as a very dissatisfied customer, the second cluster is not satisfied customer, the third cluster is satisfied customer and the fourth cluster has a role as a very satisfied customer. The application examination used 100 respondents with 80 respondents are training set and 20 respondents are test set. The result showed the cluster which has the most members is cluster 3, it means that there are so many customers satisfied with the services. The results of the training test set 100% accurate with the test set. Thus, the appropriate centroid coordinate is the one from the cluster in the last training set iteration.
Sistem Prediksi Jumlah Permintaan Produk Darah Menggunakan Metode Least Square Regression Line (Studi Kasus : Utd Pmi Kabupaten Jombang) Dzurrotun Nasyika; Slamin Slamin; Priza Pandunata
INFORMAL: Informatics Journal Vol 3 No 2 (2018): INFORMAL - Informatics Journal
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v3i2.9989

Abstract

Blood Transfusion Unit (UTD) as the provider of blood supply is required to fulfill blood demand. However in reality, the blood stock does not always meet the demand for blood. The amount of blood group stock in UTD depends on blood donors who voluntarily donate blood. Red blood cells only have a life span of 35 days since they were donated, if they have passed that time the blood cannot be used for transfusion. Based on these problems, the authors applied the Lesat Square Regression Line method to predict the number of requests for blood products in the coming month. The calculation results obtained prediction of demand with the smallest MAPE value that is blood product of PRC blood type A with a value of 14.40%. The biggest MAPE value obtained is 180.66% for WB blood type AB. Factors or parameters that affect the amount of blood product demand, that is the environment, disease outbreaks and differences in body resistance of each blood group. In addition, the types of blood products also have a number of different requests depending on the level of blood needs for health.
Sistem Informasi Kartu Pegawai Elektronik (SI-KPE) Berbasis Web dan Mobile KPE Berbasis Android Dengan Menggunakan Metode AES-128 Yanuar Nurdiansyah; Slamin Slamin; Juniar Priaditama
INFORMAL: Informatics Journal Vol 3 No 3 (2018): INFORMAL - Informatics Journal
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v3i3.10075

Abstract

East Java regional development Bank, known as the Bank of East Java was founded on august 17th 1951 in Surabaya. Bank of East Java has a lot of products and services for both civil society or non- civilservants.Oneofthemistheproduct elektronicservisservantcard(KPE).Datamanagementservices servants electronic card is very simple, make inefficient in terms of time and effort because the input file and file storage are still using manual system, as well as to disseminate announcements or events newest still using posters and other print media. File and information would be usefull if it is delivered to the user with an interest in the proper way. Currently, almost all file and information submitted throught the internet network. Security and confidentiality of file submitted via the internet is vulnerable to file theft by unauthorized parties. One way to maitain the security and confidentiality of such file is by using cryptographic methods. There are many cryptographic algorithms that are used to secure the file. One of which is an Algorithm Advanced Encryption Standard (AES). AES algorithm used in the reseacrh, namely AES-128 algorithm to encode digital files. So that the information contained in the file become more secure after converted into the file encrypt because the information can only be read by the party entitled. Employee card elektorinic information system (SI-KPE) and android based Mobile KPE using AES-128 method is a solution for Bank of East Java Jember branch
Co-Authors Abdul Rouf Alghofari Agustina M. Andrea Semanicova-Fenovcikova Antonius Cahya Prihandoko Ar Ruhimat, Qurrota A'yuni Arif Fatahillah Arifin, Mohammad D. Dafik Desy Nurjannah Desy Tri Puspasari Desy Tri Puspasari, Desy Tri Dian Anita Hadi, Dian Anita Diari Indriati Diksy Media Firmansyah Dinawati Trapsilasiwi Dzurrotun Nasyika Ermita Rizki Albirri Faisal Susanto Gembong A. W. Hardja, Ivan Hidayat, Noor Hilmiyah Hanani I Wayan Sudarsana Ika Hesti Agustin, Ika Hesti Inge Yosanda Arianti, Inge Yosanda Irma Azizah Ivan Hardja Juniar Priaditama Kiki A. Sugeng Kristiana Wijaya Kristiana Wijaya Kusbudiono Kusbudiono, Kusbudiono Liliek Susilowati Lubis Muzaki Lusia Dewi Minarti Lusia Dewi Minarti M, Nurul Istiana M. Utomo Malinda, Alvira Martin Baca Mirka Miller Moch Bustommy Maulana Moch. Zaenal A Moh Febri Nurul Qorik Moh. Hasan Mohammad Imam Utoyo Mohammad Zarkasi Muhlisatul Mahmudah, Muhlisatul Nova El Maidah Novalita Anjelia Nuris Hisan Nazula Nurul Istiana M Oktalia Juwita Oktavia, Nelly Prabhu, Savari Priza Pandunata Qurrotul A’yun R Rohmatullah Robiatul Adawiyah Robiatul Adawiyah Rukmana Sholehah, Rukmana S. M. Yunika Safira Izza Ghafrina Safira Izza Ghafrina Saiful Bukhori Santoso, Kiswara Agung Septiyani Setyo Wulandari Shapbian Novindasari, Shapbian Sholihah, Siti Mar’atus Siti Mar’atus Sholihah Sulistio, Wahyu Susi Setiawani Tanti Windartini, Tanti Tri Mulyani Tri Mulyani Umilasari, Reni Wahyu, Ria Ammelia Wijayanti, Dian Eka Wiji Utami Windi Eka Yulia Retnani Yanuar Nurdiansyah, Yanuar Yayuk Wahyuni Yudha Alif Auliya