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All Journal JURNAL SISTEM INFORMASI BISNIS Jupiter Jurnal Sistem dan Informatika SMATIKA Jurnal Ilmiah KOMPUTASI Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer JURNAL MEDIA INFORMATIKA BUDIDARMA JPM (Jurnal Pemberdayaan Masyarakat) JurTI (JURNAL TEKNOLOGI INFORMASI) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) The IJICS (International Journal of Informatics and Computer Science) JURIKOM (Jurnal Riset Komputer) Informatika : Jurnal Informatika, Manajemen dan Komputer Informasi Interaktif Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Informatika dan Rekayasa Elektronik Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Tekinkom (Teknik Informasi dan Komputer) Jurnal Informatika dan Sistem Informasi Jurnal E-Komtek JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) Journal of Innovation Information Technology and Application (JINITA) Jurnal Riset Sistem Informasi dan Teknologi Informasi (JURSISTEKNI) Jurnal Teknologi Informatika dan Komputer Indonesian Journal of Applied Research (IJAR) Jurnal AbdiMas Nusa Mandiri RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI KLIK: Kajian Ilmiah Informatika dan Komputer Rengganis Jurnal Pengabdian Masyarakat Melek IT: Information Technology Journal Jurnal Global Ilmiah Jurnal Teknik Elektro dan Komputer
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Penerapan Metode User Centered Design Pada Perancangan Design Interface Website Toko Online Azkajaya Komputer Nurahman; Ragil Kurniawan
Jurnal Ilmiah Komputasi Vol. 22 No. 1 (2023): Jurnal Ilmiah Komputasi : Vol. 22 No 1, Maret 2023
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32409/jikstik.22.1.3336

Abstract

Toko Azkajaya Komputer merupakan toko yang bergerak dibidang penjualan aksesoris dan jasa reparasi barang-barang elektronik seperti komputer, laptop, handphone dan printer. Dalam menjalankan usahanya toko Azkajaya komputer masih menggunakan metode manual. Dengan melibatkan banyak pelanggan, akan menyulitkan pemilik toko untuk memberikan respon yang baik kepada pelanggan. Sehingga akan dapat mengurangi kualitas pelayanan yang diberikan oleh toko kepada pelanggan. Dalam penelitian ini akan dibahas mengenai perancangan design interface website toko online yang akan menjadi gambaran dari website toko online yang akan membantu pemilik toko dalam melayani pelanggannya menjadi lebih baik. Metode yang digunakan pada penelitian ini yaitu metode user centered design (UCD) yang kemudian dilakukan pengujian melalui kuesioner dan diperoleh hasil dari nilai rata-rata dari poin penilaian Sangat Setuju senilali 40.04% dan penilaian Setuju sebanyak 58.67%. Dari hasil tersebut, dapat diambil simpulan bahwa design interface yang dibuat telah cukup sesuai dengan kosep UCD dan keinginan pengguna.
Klasterisasi Data Penerima Bantuan Langsung Tunai Menggunakan Algoritma K-Means Nurahman Nurahman; Jetri Susanto
JURIKOM (Jurnal Riset Komputer) Vol 10, No 2 (2023): April 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v10i2.5807

Abstract

Increasing population and unequal distribution of population even with conditions of varying poverty levels need to be the center of attention and proper handling. In Pelangsian Village, there were 202 residents who received BLTD in 2021. The existence of a quota of beneficiaries and the number of recipients' conditions that were not suitable often became an obstacle in determining beneficiaries. So that from the data obtained in this study it is necessary to do clustering. Clustering results can be used to find out if the population receiving BLTD meets predetermined criteria. so that it can further assist the government in seeing the categories of people who are really entitled to get this assistance. Data clustering can be done using algorithms in data mining. The algorithm used in the data clustering of Pelangsian villagers in this study is the K-Means algorithm. The research methodology was carried out in several stages, such as problem selection, data collection, data preprocessing, data mining algorithm selection, results evaluation, and results interpretation. Clustering is done by forming 2 data clusters. Before the data is clustered, 202 records need to be preprocessed so that it is found that there are 196 valid data records that can be processed according to research needs. The results of data processing are done by clustering the data into 2 groups. Clustering uses the K-Means algorithm by determining the value of K = 2 so that it is obtained that cluster0 has 115 residents and cluster1 has 81 residents. Algorithm performance testing shows that the K-Means Algorithm obtains a Devies-Bouldin value of -0.794. With a Davies-Bouldin-0.794 value, it can be said that the performance of the clustering algorithm is quite good.
ANALISIS JUMLAH PRODUKSI TAHU WAWAN MENGGUNAKAN METODE FUZZY TSUKAMOTO Aida Puspita Sari; Karina Indah Deswanti; Nurahman Nurahman
Jurnal Riset Sistem Informasi dan Teknologi Informasi (JURSISTEKNI) Vol 5 No 2 (2023): SISTEM INFORMASI UNIVERSITAS NUSA PUTRA
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/jursistekni.v5i2.194

Abstract

Pengusaha tahu wawan berada di mentawa baru ketapang. Ada bererpa yang terkadang memuat kesulitan dalam menentukan jumlah produksi tahu. Namun, perlu diingat bahwa produksi tahu setiap hari juga harus disesuaikan dengan kemampuan produksi dan kapasitas produksi yang dimiliki. Jika produksi tahu terlalu banyak dibandingkan dengan permintaan pasar, maka pengusaha mungkin akan mengalami masalah dengan penyimpanan dan pemasaran produk yang tidak terjual. Untuk itu penelitian ini melakukan analisis dengan menerapkan metode tsukamoto. Penelitian ini bertujuan untuk menentukan jumlah produksi tahu setiap hari dengan menggunakan metode Fuzzy Tsukamoto. Metode ini digunakan untuk menganalisis faktor-faktor yang mempengaruhi penjualan tahu Wawan, seperti cuaca, hari libur, event-event tertentu, dan faktor-faktor lainnya. Metode ini juga dapat digunakan untuk mengintegrasikan rule-based reasoning dengan metode fuzzy logic, sehingga dapat membuat sistem pengambilan keputusan yang lebih baik dan akurat. Dari hasil penelitian, diharapkan dapat memberikan rekomendasi yang dapat digunakan oleh pengusaha tahu Wawan untuk menentukan jumlah produksi tahu yang tepat setiap harinya dan mengoptimalkan pendapatannya. Hasil penelitian mengenai penggunaan metode Fuzzy Tsukamoto untuk memprediksi penjualan tahu Wawan menunjukkan bahwa produksi tahu pada saat melakukan penelitian diperlukan sebanyak 3.852. Hal ini didapat dari analisis faktor-faktor yang mempengaruhi penjualan tahu Wawan, seperi faktor persediaan dan faktor permintaan. Hasil ini dapat digunakan sebagai rekomendasi oleh pengusaha tahu Wawan untuk menentukan jumlah produksi tahu yang tepat setiap harinya dan mengoptimalkan pendapatannya.
METODE FUZZY TSUKAMOTO UNTUK MEMPREDIKSI JUMLAH PRODUKSI PADA TOKO SERBA HARGA MURAH SAMPIT BERDASARKAN DATA PERSEDIAAN DAN JUMLAH PERMINTAAN stepani; ella ayu lestari; Nurahman Nurahman
Jurnal Riset Sistem Informasi dan Teknologi Informasi (JURSISTEKNI) Vol 5 No 2 (2023): SISTEM INFORMASI UNIVERSITAS NUSA PUTRA
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/jursistekni.v5i2.203

Abstract

Suatu perusahan mendirikan usaha guna mendapatkan penghasilan lebih, maka banyak sekali strategi yang berbeda digunakan oleh pengusaha untuk menghadapi persaingan dalam dunia bisnis. Ada banyak sekali resiko yang dihadapi ketika membuka bisnis yang pertama adalah kegagalan, kerugian, tidak dapat diketahui oleh bnayak orang. Maka dari itu pembisnis akan melakukan apa saja untuk memajukan bisnis yang dirintisnya. Seperti yang diketahui salah satu toko pakaian di kota sampit itu bisa dibilang berhasil dalam mengikuti persaingan dari toko-toko lainnya, karena dari awal dibukanya toko tersebut selalu didatangi banyak sekali pengunjung. Toko serba harga murah di kota sampit merupakan salah satu unit usaha yang memproduksi pakaian. Toko ini memproduksi produk dengan menyesuaikan banyaknya permintaan dengan jenis produk apa, akan tetapi dikarenakan terkadang permintaan yang tidak dapat ditentukan oleh pemilik toko setiap akan memproduksikan produk akan membuat toko serba harga murah di kota sampit kesulitan dalam memprediksikan berapa total,dan jenis produk apa saja yang paling diminati oleh pengunjung. Oleh karena itu toko selalu memproduksikan produknya melebihi sedikit dari yang diminta. Maka untuk mengatasi permasalahaan yang terjadi di toko serba harga mrah sampit harus diatasi dengan beberapa cara yang harus dilakukan adalah dengan cara menganalisis data permintaan pelanggan dengan cara pemilik toko dapat memperhatikan apa saja yang sering diminta oleh pelanggan, kemudian dengan cara meningkatkan ketersediaan produk yaitu dengan meningkatkan jumlah stok persediaan, kemudian dengan menerapkan sistem pengolahan persediaan yang lebih efektif dengan menggunakan berbagai cara untuk memepersiapkan stok produk.
Perbandingan Performa Cluster Model Algoritma K-Means Dalam Mengelompokkan Penerima Bantuan Program Keluarga Harapan warisa warisa; Nurahman Nurahman
Jurnal Sistem Informasi Bisnis Vol 13, No 1 (2023): Volume 13 Nomor 1 Tahun 2023
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol13iss1pp20-28

Abstract

Poverty has so far played a role as a problem faced by residents of the Mentawa Baru sub-district, Ketapang. The inability of this community is related to the need to meet education and health needs in social welfare. In assisting the grouping of beneficiary data is carried out using the K-Means algorithm. Apart from that, to increase performance, those who have gone through the first grouping process are then continued using feature selection in the decision tree tool. The algorithm used aims to classify PKH beneficiary data to help the government find out about the handling of the aid program in Mentawa Baru Ketapang sub-district. As for the results obtained from this study, namely, the accuracy of the initial clustering obtained a DBI value of -0.994 at K=8 while the second clustering value that had gone through feature selection with K=3 obtained a DBI value of -0.865. It is known from the performance testing of the comparison of the two clustering that the best performance value is found in the second cluster after going through feature selection.
Decision Support System for Selecting Exemplary Students with Simple Additive Weighting Method Nurahman Nurahman; Minarni Minarni; Nindi Ernawati Nindi Ernawati; Nadia Sari Nadia Sari
Journal of Innovation Information Technology and Application (JINITA) Vol 5 No 1 (2023): JINITA, June 2023
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/jinita.v5i1.1755

Abstract

The selection of exemplary students carried out by the school is expected to trigger the enthusiasm of students to be able to develop their interests, talents, and abilities in the academic and non-academic fields. However, decision-making has not been measured with data so a decision support system is needed. With the use of this method, it is hoped that it can make it easier and minimize the occurrence of errors in making decent decisions therefore this system is needed to be able to make good decisions. In this study, one of the decision support system methods that are often used was chosen, namely Simple Additive Weighting (SAW). The use of the SAW method is due to its uncomplicated calculations. Research conducted at this school in determining decisions is still done manually so it is less effective and efficient. Therefore, this decision support system must be able to calculate exemplary students to be more effective and efficient. This system displays the final results of the ranking of exemplary students using the SAW method. From the overall results of the research that has been carried out, the calculation results that got rank 1 were obtained, namely Kenzo Ecclesio Taha with a total score of 0.9025. From the results of the study, it can be concluded that the results meet the criteria, so this study can be considered in calculations to determine exemplary students in the future
Rancang Bangun Website Media Promosi Sekolah dan Pengembangan PPDB dengan Metode User Centered Design Indah Ayu Wijayanti; Nurahman -
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 13 No 01 (2023): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v13i01.709

Abstract

SMP Negeri 8 Sampit is a school located on Jalan Jendral Sudirman Km.6.5, Pasir Putih Village, Mentawa Baru District, Ketapang. One of the benefits of technology used by the school is as a medium for school promotion and in the New Student Admission (PPDB) process. Currently, media promotion at SMP Negeri 8 Sampit is still being carried out through written media such as brochures, banners or bulletin boards. Dissemination of information conventionally has limited reach and time in disseminating information. While the PPDB process is carried out by recording the data of prospective students on paper and then the data is processed using Microsoft Excel. This has an impact on data processing for the announcement of the acceptance of the selection results which takes a long time. In addition, the accumulation of physical files is prone to damage. In this study, a school website was created using the User Centered Design (UCD) method and evaluated by blackbox. The existence of this website has answered the research objectives, namely making it easier for schools to disseminate information to the wider community and making it easier for the committee to manage PPDB files quickly and efficiently. System evaluation carried out using blackbox resulted in website functions being appropriate and running well when used.
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN PRIORITAS PERBAIKAN JALAN MENGGUNAKAN METODE GAP Nurahman Nurahman; Andry Wardana
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 1 (2023)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v6i1.862

Abstract

Roads are very important infrastructure for economic growth in each region because roads are a means of connecting one place to another. all information related to damaged roads is recorded and collected by the public works and spatial planning offices to be managed. but from all the damaged road data, the responsible agency is sometimes wrong to determine the priority order of roads that will be repaired first so that it is not on target. Therefore, in this study a decision support system for determining the priority of road repair using the gap method was built which is expected to help the public works and spatial planning offices in determining which road priorities will be repaired first based on the criteria of road condition, daily traffic, road surface type, road length and road width. based on the results of the calculation that became the first rank or top priority to be repaired was JLM002 (Mt.Haryono Barat) which obtained the highest value of 4.4. Therefore, the road deserves to be a priority to get repairs and handling first.
Comparison Performance of K-Medoids and K-Means Algorithms In Clustering Community Education Levels Diana Dwi Aulia; Nurahman Nurahman
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 12 No. 2 (2023)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v12i2.59789

Abstract

Education is a mandatory right of all citizens and the key to the nation's superiority in global competition that must get top priority to be examined critically and comprehensively. It is known that compulsory education is at least 12 years, but not all people can do it because of minimal economic conditions. In past years, COVID-19 has also had an impact on the economy, school dropout rates, and falling academic achievement, for example in Central Kalimantan. The size of Central Kalimantan, however, makes it difficult for the government to identify the areas with the worst levels of education. To determine which regions fall into the low and high education categories, it is required to group the province's educational levels. This study also compares two algorithms by measuring their accuracy. By looking at which algorithm has the lowest Davies Bouldin Index (DBI) value, the best degree of performance can be ascertained. To process the data from as many as 1,565 sources, data mining techniques, including the clustering method, were used. K-Means and K-Medoids algorithms were employed in this work as clustering techniques. Based on the outcomes of the cluster created, both algorithms are also put to the test for performance. The results of this study obtained 6 clusters in K-Means with the lowest DBI value of -0.439, while the results in K-Medoids were in 3 clusters with the lowest DBI of -0.866. Based on accuracy testing using DBI, it is known that K-Means results are more optimal with the lowest DBI value in the grouping of education levels compared to K-Medoids. It is also known from the formation of 6 clusters of the K-Means algorithm that the low education level is in cluster_0 which is 1484 villages and the higher education level is as many as 3 villages in cluster_3.
Evaluasi Performa Algoritma Naïve Bayes Dalam Mengklasifikasi Penerima Bantuan Pangan Non Tunai Mohammad Mastur Alfitri; Nurahman Nurahman; Minarni Minarni; Depi Rusda
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 3 (2023): Juli 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i3.6151

Abstract

The improvement of the standard of living of the community in Bapinang Hulu Village is carried out through various social assistance programs. However, the realization of the implementation of social assistance programs did not go smoothly. Social jealousy often occurs among the community during the distribution of social assistance. The distribution of assistance is carried out based on the assessment of the village officials and the Village Consultative Body, which is then validated by the heads of RT and RW. The quota provided by the government is often not in accordance with the actual number of eligible recipients in the village. Another difficulty is determining the criteria or attributes used for the selection of Non-Cash Food Assistance recipients. This study aims to obtain a classification model from which the classification pattern can be applied to the population data of Bapinang Hulu Village for the selection of social assistance recipients. To solve this problem, the classification method is applied using the Naive Bayes Algorithm. The research results show that the performance of the Naive Bayes algorithm model before feature selection had the highest accuracy in the 8th test with an accuracy of 89.80%. Meanwhile, after feature selection, the highest accuracy was found in the 3rd test with an accuracy of 88.37%. The feature selection using the Information Gain algorithm reduced the number of attributes from 16 to 6. Therefore, it is known that the highest accuracy is obtained before feature selection, but in selecting social assistance recipients, more criteria need to be applied, which is time-consuming. Meanwhile, after feature selection, only 6 criteria are used to determine social assistance recipients.
Co-Authors Abdul Aziz Achmad Suprianur Ade Riani Ade Riani Agung Purwanto Agung Purwanto Ahmad fahrudin Ansari Aida Puspita Sari Anang Kukuh Adisusilo Andry Wardana Andy Ismail Aziz Maulana Bambang Priambodo Boby Yudistira Depi Rusda Diana Dwi Aulia Dwi Tjahjo Seabtian Dwi Wahyu Prabowo Dwi Wahyu Prabowo Dwi Wahyu Prabowo Eddy Mashamy Edo Tio Gunawan Elika Thea Kirana ella ayu lestari Faishal Umar Faruq Febri Widianto Fujianto Fujianto Hazanisya Priliani Hutrim Heri Abijono Ibnu Ramadhan ica warisa Imam Hanafi Rahman Indah Ayu Wijayanti Istanta Jetri Susanto julhaidi, akhmad Karina Indah Deswanti Lukman Bachtiar M Syahrifudin Minarni Minarni Mohammad Mastur Alfitri Muhammad Mastur Alfitri Nadia Sari Nadia Sari Nindi Ernawati Nindi Ernawati Noprida Arianto Nor Istiqamah Norman Norman Nur Hidayat Nur Hidayat Poppy Sulistiawaty Prasetyaningrum, Eka Prihandoko . Putri, Shinta Ragil Kurniawan Ragil Kurniawan Rani Ayu Sampita Sari Rismadina Puspa Rosida Rosida Safitri, Diah Atika Setiawan Shinta Putri Sigit Mulyanto Siti - aminah stepani Sumanti, Rika Thea Kirana, Elika warisa warisa Wenti Utari winda pertiwi Winda Pertiwi Wira Pradana Yessy Susianto Yuli Purwanto, Yuli Yuliyanti Yunita, Selviana