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All Journal SITEKIN: Jurnal Sains, Teknologi dan Industri Techno Nusa Mandiri : Journal of Computing and Information Technology Minda Baharu JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Mantik Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Community Development Journal: Jurnal Pengabdian Masyarakat International Journal on Social Science, Economics and Art Jurnal Sistem Informasi Bisnis (JUNSIBI) Digital Transformation Technology (Digitech) Malcom: Indonesian Journal of Machine Learning and Computer Science Innovative: Journal Of Social Science Research West Science Business and Management West Science Journal Economic and Entrepreneurship West Science Interdisciplinary Studies West Science Interdisciplinary Studies Jurnal MediaTIK Edumaspul: Jurnal Pendidikan
Eri Mardiani
Universitas Nasional
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences Other

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PERANCANGAN SISTEM TRANSAKSI BERBASIS WEB PADA UKM PANGKAS RAMBUT TASIK Nur Rahmansyah; Deta Muliyani; Eri Mardiani; Adityo Rahman
Jurnal Sistem Informasi Bisnis (JUNSIBI) Vol 3 No 1 (2022): Jurnal Sistem Informasi Bisnis (JUNSIBI)
Publisher : Program Studi Sistem Informasi Institut Bisnis dan Informatika (IBI) Kosgoro 1957

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (884.958 KB) | DOI: 10.55122/junsibi.v3i1.412

Abstract

Pangkas Rambut Tasik merupakan Usaha Kecil Menengah yang bergerak di bidang jasa pangkas rambut yang berada di daerah Jakarta selatan. Usaha Pangkas Rambut ini sudah berjalan cukup lama dan sudah memiliki banyak pelanggan. Namun selama usaha ini berjalan pengelola masih tidak memiliki pencatatan transaksi sehingga sering kali sering terjadi kesalahan perhitungan dan pencatatan pesanan yang telah dikerjakan sering tidak sesuai. Penelitian ini bertujuan untuk merancang sistem informasi transaksi berbasis web yang dapat memudahkan pihak pemilik untuk mengelola usahanya. Metode pengembangan system yang digunakan adalah model proses waterfall. Hasil penelitian ini berupa rancangan system transaksi Pada UMKM Pangkas Rambut Tasik yang awalnya manual menjadi terkomputerisasi sehingga hal ini menata, meningkatkan keuangan serta meningkatkan kepuasan pelanggan.
PERANCANGAN SISTEM INFORMASI MANAJEMEN (SIM) PENJUALAN PAKAIAN Misria Attanggo; Septi Andryana; Eri Mardiani
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 6, No 1 (2021)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v6i1.1920

Abstract

Pakaian merupakan kebutuhan primer manusia. Seiring bertambahnya jaman, pakaian mengalami perubahan mode dan kebutuhan, dikarenakan bertambah pula populasi manusia. Dalam usaha penjualan pakaian tidak lepas dari peran reseller yang berperan besar dalam mempromosikan produk, mendata produk dan menjual produk. Nayra Shop sebagai salah satu pelaku usaha mikro yang menjadi reseller suatu brand pakaian muslim melakukan pencatatan penjualan secara sederhana yang mengakibatkan sering terjadi kesalahan pada pencataan, tidak jarang ditemukan permasalahan akibat catatan hilang, rusak maupun ganda. Oleh karena itu dibutuhkan Sistem Informasi Manajemen guna mengatasi permasalahan tersebut dan mempermudah pekerjaan reseller. Penelitian ini bertujuan untuk membangun sistem informasi manajemen penjualan dengan implementasi metode waterfall terdiri dari tahap anilisa kebutuhan, design sistem, koding, pengujian sistem, implementasi dan perawatan sistem. Sistem dibangun memakai Codeigniter,dengan bahasa pemograman PHP, HTML, CSS, JavaScript dan MYSQL digunakan sebagai database. Penelitian kali ini menghasilkan sebuah aplikasi berbasis website yang dapat memudahkan pekerjaan Nayra Shop sebagai reseller, dalam  pendataan dan transaksi penjualan.
Web-Based Room Loan Management Services Using Web Based RAD Method: Web-Based Room Loan Management Services Using Web Based RAD Method Upi Resti Wahyuni; Fauziah Fauziah; Eri Mardiani
Jurnal Mantik Vol. 4 No. 1 (2020): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1154.641 KB)

Abstract

At the moment, the information service System in every campus is very important, and students are also currently enthusiastic to conduct activities on campus by utilizing the facilities provided by the campus, therefore it is necessary to do to design the information system of lending management services through the website, because the current system is still manual, which is the user of the room in the process is still done by meeting the administrator This requires a relatively long process that makes it difficult for users and administrators. Then in the data logging of the room that has not been integrated into a system will complicate the administrator if you want to give access to the user room. The method for designing the application uses the RAD (Rapid Application Development) method. RAD is a model of the software development process that belongs to the incremental technique (multilevel), the RAD method used is iterative (recurring) in developing the system, in the creation of the RAD model that works, in the development stage set the need (requirement). The stages of creating this Web application utilize PHP and Mysql. From the results of this research user and the user can easily manage the management of room lending.
Implementation Of A Star Algorithm In Android Based Alien Shooter Games: Implementation Of A Star Algorithm In Android Based Alien Shooter Games Eka Febriyanto Riski; Agung Triayudi; Eri Mardiani
Jurnal Mantik Vol. 4 No. 1 (2020): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

The development of games at this time is so rapid and a part of a lifestyle. The Alien War game is a First Person Shooter (FPS) game using the first person's point of view to aim or kill an enemy in the form of an alien. The player only sees his hand and does not see the body of the character being played. This game uses the A Star method which is applied to Non-Player Character (NPC) to find the location of players. This alien war game uses the Android operating system.
Web-Based Decision Support System Determination of Recipients of Covid-19 Pandemic Social Assistance Using the SAW and AHP Methods Alfian Muhharam; Agung Triayudi; Eri Mardiani
Jurnal Mantik Vol. 5 No. 2 (2021): Augustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol5.2021.1395.pp760-770

Abstract

During the COVID-19 pandemic, this was not only followed by an increase in the number of positive cases caused by various reactions from people who did not care about this outbreak, but also followed by an increase in poverty, early community mobility, and security insecurity . The government plans to provide special social assistance for middle to lower class people in the face of this COVID-19 pandemic. The distribution of social assistance as a realization of the social safety net program during the COVID-19 pandemic leaves a lot of homework to do. Starting from data collection, the accuracy of target recipients of aid, to the distribution. The mechanisms for distributing aid are complicated and often not well targeted due to inappropriate criteria for beneficiaries and inaccurate / inaccurate data. Until there was a protest from residents who should have received assistance but they did not get this assistance, and vice versa. This study proposes the Analytical Hierarchy Process (AHP) method for weighting the value of each criterion and the Simple Additive Weighting (SAW) method for the ranking.
Implementasi Metode Penalaran CBR dalam Mengidentifikasi Gejala Awal Penyakit Jantung menggunakan Algoritma Sorensen Coeffient Vicky Agnes Arundy; Iskandar Fitri; Eri Mardiani
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5 No 3 (2021): JULY-SEPTEMBER 2021
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i3.220

Abstract

Heart disease is a condition when the heart is experiencing a disorder. The forms of disturbance that are experienced are usually various. Usually there is a disturbance in the blood vessels of the heart, heart rate, heart cover, or congenital problems. The heart itself is a muscle consisting of four chambers. That is, the first two rooms are located at the top, the atrium (foyer) to the left and right. Then the other two rooms are at the bottom, namely the right and left ventricles. To provide information on how to diagnose the type of disease and how to control heart disease, an application of an expert system that can represent someone who is an expert in their field is needed to provide solutions to this disease problem using the Case-Based Reasoning method with the Sorensen Coeffient approach. The result of this research is the creation of an expert system for diagnosing heart disease using the Case-Based Reasoning method with the Sorensen Coeffient approach which is able to provide solutions to heart disease.
Penerapan Face Recognition pada Aplikasi Akademik Online Budi Tri Utomo; Iskandar Fitri; Eri Mardiani
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5 No 4 (2021): OCTOBER-DECEMBER 2021
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i4.244

Abstract

In the era of big data, the biometric identification process is growing very fast and is increasingly being implemented in many applications. Face recognition technology utilizes artificial intelligence (AI) to recognize faces that are already stored in the database. In this research, it is proposed to design an online academic login system at the National University using real time face recognition used OpenCV with the Local Binary Pattern Histogram algorithm and the Haar Cassade Classification method. The system will detect, recognize and compare faces with the stored face database. The image used is 480 x 680 pixels with a .jpg extension in the form of an RGB image which will be converted into a Grayscale image., to make it easier to calculate the histogram value of each face that will be recognized. With a modeling system like this it is hope to make it easy for user to log into online academics.
Analisis Sentimen Tweet KRI Nanggala 402 di Twitter menggunakan Metode Naïve Bayes Classifier Muhammad Ariel Djamaludin; Agung Triayudi; Eri Mardiani
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6 No 2 (2022): APRIL-JUNE 2022
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i2.398

Abstract

Social media is one of the technological developments that has contributed greatly in making it easy for us to communicate and socialize, one of which is using Twitter social media. Twitter in this study is used as a data source to analyze tweets discussing KRI Nanggala 402. Analysis of KRI Nanggala 402 twitter sentiment is used to see the tendency of public responses to the sinking of the KRI Nanggala 402 submarine whether to give positive or negative opinions. This Sentiment analysis uses the Naïve  Bayes Classifier method, which is a classification method. The first research stage is crawling, processing, classification, and evaluation. The classification stage is carried out after the processing phase, where the classification results tend to be positive or negative, using the Naïve  Bayes Classifier method. The accuracy of the system in the Sentiment analysis of the KRI Nanggala 402 tweet is 73.00%.
DATA MINING K-MEDOIDS DAN K-MEANS UNTUK PENGELOMPOKAN POTENSI PRODUKSI KELAPA SAWIT DI INDONESIA Faiq Husain Pratama; Agung Triayudi; Eri Mardiani
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 7, No 4 (2022)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v7i4.3237

Abstract

Kelapa sawit merupakan tanaman golongan palma yang memiliki periode produksi setiap tahunnya. Penyebaran terbesar kelapa sawit berada di Indonesia. Indonesia memiliki luas perkebunan mencapai 17,32 juta hektar. Detailnya hasil produksi 26,57 ton dengan luas kebun 8,51 juta hektar. Menurut data USDA, pada tahun 2022 menurun karena berbagai faktor. Untuk itu perlu dilakukan klasifikasi potensi produksi kelapa sawit dan identifikasi peluang keberhasilan produksi disetiap lokasi perkebunan kelapa sawit. Dengan ini dilakukan penelitian pembuatan sistem clustering untuk melihat potensi produksi kelapa sawit dengan memakai kombinasi 2 metode yaitu K-Medoids dan K-Means. K-Medoids berfungsi untuk penentuan cluster sesuai dengan data variable yang paling rendah(Cluster 1) 18 wilayah, sedang (Cluster 2) 5 wilayah, dan tinggi (Cluster 3)/(Cemtroid) 2 wilayah pada potensi hasil Luas areal, produksi, dan produktivitas kelapa sawit. Algoritma K-Means berfungi untuk mengelompokkan rata rata luas tanah 514.885,72 Ha, produksi 1.931.882,84 Ton dan produktifitas 3.227,08 Kg/Ha, dengan pembagian potensi rendah, sedang dan tinggi. Kombinasi dari kedua algoritma berfungsi sangat baik karena masing masing memiliki peran tersendiri yang sesuai dengan kebutuan penelitian. Dari penggabungan 2 metode K-Medoids dan K-Means mendaptkan hasil ketiga klaster bahwa hasil produksi kelapa sawit yang memiliki potensi rendah 72% sedang 20%, tinggi 2%. Segmentasi ini disebabkan oleh kesamaan karakteristik perkebunan berdasarkan kesamaan dari luas, produksi, dan produktivitas. Yang memiliki potensi produksi tertinggi kelapa sawit ada 2 provinsi yaitu Kalimantan Barat dan Riau.
PKM MENINGKATKAN PENJUALAN UMKM DENGAN E-COMMERCE DISAAT PANDEMI COVID 19 Eri Mardiani; Nur Rahmansyah; Sari Ningsih
MINDA BAHARU Vol 6, No 2 (2022): Minda Baharu
Publisher : Universitas Riau Kepulauan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33373/jmb.v6i2.4265

Abstract

Pengabdian masyarakat ini memberikan motivasi  bagi  masyarakat yang  putus  sekolah agar dapat melakukan penguatan daya beli produk Usaha Kecil Menengah, salah satu Usaha Kecil Menengah (UKM) melalui penerapan toko online dan pengarahan cara penggunaannya menggunakan teknologi informasi bagi anak-anak putus sekolah sehingga dapat meningkatkan kemandirian ekonomi guna meningkatkan penggunaan teknologi informasi dan internet menggunakan kegiatan pemasaran secara umum. Topik yang diangkat adalah peningkatan pelayanan penjualan, pemasaran, pemesanan produk dari konsumen.Tujuan kegiatan pengabdian masyarakat ini agar Anak-anak putus sekolah dapat  mengikuti kegiatan penerapan E-Commerce berbasis Web dengan baik  melalui bimbingan fasilitator. Dengan PKM ini dapat memberikan kesempatan bagi dinas/instansi terkait agar anak-anak putus sekolah masih diberikan pendampingan untuk mendapatkan akses pendidikan dasar diiringi peningkatan ekonomi mereka sehari-hari.
Co-Authors . Syamsulbahri A.Ratna Sari Dewi Adi Nugroho Susanto Putro Adisti Suryaningtyas Putri Wirawan Aditya Nur Rohman Adityo Rahman Agung Triayudi Ahmad Rifqi Alfian Muhharam Ali Rahman Alica Dwi Fahira Andika Isma Andy Setiawan Annisa Amalia Fitri Ari Febriansyah Arief Yanto Rukmana Arief Zikry Atika Atika Atira Syakira Azzaleya Agashi Lombu Bagus Hari Sugiharto Benny Novico Zani Budi Tri Utomo Cintia Marito Sihombing Deny Hidayatullah Deta Muliyani Dhieka Avrilia Lantana Diah Widiastuti Dinda Amelia Zanitha Dinda Nurkhaliza Putri Dini Fatihatul Hidayah Dwi Juliastuti Eka Febriyanto Riski Endah Tri Esti Handayani Era Era Hia Eva Yuniarti Utami Eva Yuniarti Utami Fachri Faiq Husain Pratama Fatimah Nur Arifah Fauziah Fauziah Feliks Anggia Binsar Kristian Panjaitan Ferdan Akbar Ramadhan Guing Tri Suhatmojo Ika Agustina ilwandri ilwandri Imelta Natalia Ginting Inayah Romzy Indra Permana Ira Kurniati Ira Kurniati Irma Rahmawati Iskandar Fitri Iskandar Fitri Iwan Riswandi Kelfin Nurfaizi Keysha Belynda Tyva Panggabean Komang Mustika Pramesti Legito . Lidya Cahyani Loso Judijanto Maiza Fikri Matondang, Nurhafifah Mega Ilhamiwati Mila Surahmi Misria Attanggo Moh. Erkamim Mohammad Edy Nurtamam Muhammad Ariel Djamaludin Muhammad Bitrayoga Muhammad Ridwan Muhammad Rizky Perdana Muhammad Romadhoni Rizki Muhammad Subhan Iswahyudi Muhammad Umer Farooq Mujahid Muhammad Zidan Rosyid Nabila Puspita Wulandana Nindi Permata Riau Nofri Yudi Arifin Novi Djafri Nur Rahmansyah Nur Rahmansyah Occe Luciana Prayogo Dwi Cahyo Putro Ratih Tri Lestari Rayhan Mustafa Salestinus Petrus Dhema Sari Ningsih Satriawan Desmana Sepriano Sepriano Septi Andryana Sifonne Adi Wijaya Sisca Budyarti Siska Armawati Sufa Siska Jeanete Saununu Soni Suardi Suharto Suharto Syamsuri Syamsuri Tesalonika Tomi Apra Santosa Trie Widiarti Ningsih Unika Oktaviani Damau Upi Resti Wahyuni Vicky Agnes Arundy Waqiah Yayat Suharyat Yoga Dwi Prasetyo Yunan Fauzi Wijaya Yuni Latifah Yusriana Chusna Fadilah Zakila Cahya Ronika