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All Journal Information Technology and Telematics Dinamik Proceeding Fakultas Ekonomi Elkom: Jurnal Elektronika dan Komputer Rekayasa: Jurnal Penerapan Teknologi dan Pembelajaran Proceeding SENDI_U Jurnal Ilmiah Universitas Batanghari Jambi JURNAL ILMIAH INFORMATIKA INTECOMS: Journal of Information Technology and Computer Science Building of Informatics, Technology and Science JURNAL MAHAJANA INFORMASI Community Engagement and Emergence Journal (CEEJ) Jurnal Sistem Komputer dan Informatika (JSON) Dinamika Informatika: Jurnal Ilmiah Teknologi Informasi JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Jurnal Pengabdian Masyarakat Intimas (Jurnal INTIMAS): Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat Jurnal Abdimas Musi Charitas Media Abdimas Pelita: Jurnal Pengabdian kepada Masyarakat Jurnal Pengabdian Sosial Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Sri Eniyati
Universitas Stikubank
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Medicine & Pharmacology Nursing Public Health Social Sciences Other

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BANGUN SISTEM INFORMASI PEMESANAN MAKANAN BERBASIS WEB PADA OMAH MAKAN JAWA (OMJ) PURWODADI Sari, Septi Sekar; Supriyanto, Edy; Eniyati, Sri; Khristianto, Teguh
INTECOMS: Journal of Information Technology and Computer Science Vol 7 No 4 (2024): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v7i4.11003

Abstract

Pengelolaan pesanan makanan di Omah Makan Jawa (OMJ) masih bersifat manual dimana masyarakat tetap menulis di buku dan menulis pesanan makanan setelah pesanan. Pada penelitian ini dikembangkan sistem informasi pemesanan makanan online pada Omah Makan Jawa (OMJ) di Purwodadi. Framework CodeIgniter digunakan untuk menghasilkan sistem ini, metodologi yang digunakan menggunakan metode waterfall, dan metode perancangannya adalah Unified Modeling Language (UML). Tujuan dari penelitian ini adalah untuk memudahkan pengelolaan pesanan menu pelanggan dan menggantikan pesanan makanan manual dengan yang digital.
Metode Cosine Similarity Untuk Rekomendasi Judul Komik Santi, Rina Candra Noor; Eniyati, Sri; Sugiyamta, Sugiyamta; Kurniaji, Arba’i
INTECOMS: Journal of Information Technology and Computer Science Vol 7 No 4 (2024): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v7i4.11189

Abstract

Komik adalah seni gambar tidak bergerak dan isinya terdiri dari gambar-gambar serta tulisan yang disusun menjadi sebuah cerita. Ada banyak jenis komik yang bisa ditemukan, seperti komik buku fisik berseri, komik online dalam format digital, hingga komik strip alias komik pendek. Komik pada saat ini memiliki banyak jenis alur dan cerita yang menarik agar pembaca mudah tertarik untuk membaca. Sehingga dari alur yang begitu banyaknya, membuat pembaca kadang sedikit bingung untuk mengikuti jalur ceritanya. Sehingga dari permasalahan ini dapat diselesaikan dengan membuat rekomendasi untuk memilih komik yang akan dibaca dengan menggunakan Cosine Similarity.
Analisis Pola Pembelian Perlengkapan Alat Tulis Dengan Menggunakan Metode Analisis Asosiasi Eniyati, Sri; Wismarini, Th. Dwiati; Yulianton, Heribertus; Santi, Rina Candra Noor; Antesia, Tiara
INTECOMS: Journal of Information Technology and Computer Science Vol 7 No 4 (2024): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v7i4.11196

Abstract

Metode analisis asosiasi, atau sering disebut sebagai analisis asosiasi atau apriori, adalah teknik dalam data mining yang digunakan untuk menemukan hubungan atau pola asosiasi antara berbagai item dalam dataset transaksional atau dataset yang berisi daftar item yang dibeli atau digunakan bersama-sama. Tujuan utama dari metode ini adalah untuk mengidentifikasi korelasi atau hubungan yang kuat antara item-item tersebut. Banyaknya persaingan pada dunia bisnis menuntut penggunaan teknologi agar dapat bersaing dengan toko lain. Penganalisaan secara modern yaitu apriori akan memudahkan pemilik toko dapat menemukan keterkaitan satu barang dengan barang yang lainnya, yang bertujuan untuk mengidentifikasi item atau barang yang sering dibeli bersama-sama oleh pelanggan.
EMPOWERING THE SIDO MAJU FARMERS GROUP THROUGH THE DEVELOPMENT OF A SOLAR-POWERED CORN THRESHER Ekoanindiyo, Firman Ardiansyah; Kasmari, Kasmari; Eniyati, Sri; Hayati, Enty Nur
Jurnal Abdimas Musi Charitas Vol. 8 No. 2 (2024): Jurnal Abdimas Musi Charitas Volume 8, Nomor 2, Desember 2024
Publisher : Universitas katolik Musi Charitas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32524/jamc.v8i2.1245

Abstract

This community service initiative seeks to enhance the design of a corn thresher to improve its functionality and expand its market potential. The activities include field inspections, discussions, training, and socialization with village officials, expert teams, and farmers' groups. Previous designs revealed several shortcomings, such as an intake hole positioned too high, causing user discomfort, and a small diameter that made it challenging to process larger corn cobs. Additionally, the separation mechanism between cobs and kernels was ineffective, leading to mixed results. Farmers also struggled with marketing their crops, often relying on traders visiting the village, which resulted in lower selling prices. The redesigned thresher addresses these issues by enabling upright operation, increasing intake capacity, and reducing costs through solar power. Complementing the redesign, online marketing training equips farmers with strategies to align their prices with market standards, reduce dependence on intermediaries, and enhance their income sustainably.
Peningkatan Akurasi Temu Kembali Citra Berbasis Konten dengan Modifikasi Kontras Histogram Equalization dan Fast Fourier Transform Hartono, Budi; Lusiana, Veronica; Eniyati, Sri
Building of Informatics, Technology and Science (BITS) Vol 6 No 3 (2024): December 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i3.6418

Abstract

Image retrieval is a way to search for images in an image database based on the content or contents of the image or Content-Based Image Retrieval (CBIR). This study aims to develop a retrieval system using Fast Fourier Transform (FFT) for image texture feature extraction. The test image and image database consist of four Batik motif textures—contrast modification using Histogram Equalization. The level of similarity between the test image and the image database is calculated using Manhattan Distance. The study results show a difference in the accuracy of the retrieval results between images without and with contrast modification. In images with contrast modification, the accuracy of the search results increases by 71.4%. System performance is evaluated based on the level of accuracy calculated using the Precision, Recall, and F1-score values. Further research is still needed to test the accuracy of image retrieval results, especially in pre-processing image textures with other batik motifs.
Identifikasi Pola Konflik Lahan Perkebunan di Lingkungan PTPN Group Berbasis Data Hukum Menggunakan Hierarchical Clustering dengan Algoritma Agglomerative Wismarini, Theresia; Eniyati, Sri; Lestariningsih, Endang; Soelistijadi, Soelistijadi; Ardhianto, Eka
JURNAL FASILKOM Vol. 14 No. 3 (2024): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v14i3.7915

Abstract

Konflik lahan perkebunan sangat penting untuk dideteksi secara dini, karena potensi dampaknya terhadap berbagai aspek seperti kesehatan, ekosistem, pertanian, dan jaringan listrik. Penelitian ini bertujuan mengidentifikasi pola konflik lahan perkebunan di lingkungan PTPN Group berbasis data hukum menggunakan teknik Hierarchical Clustering dengan algoritma Agglomerative Clustering. Deteksi dini konflik lahan penting karena dampaknya terhadap kesehatan, ekosistem, pertanian, dan infrastruktur. Studi ini mengolah data hukum dari Mahkamah Agung RI, data geospasial dari OpenStreetMap, dan data sosial-ekonomi dari BPS dan World Bank untuk menganalisis dan mengelompokkan pola konflik. Proses analisis meliputi inisialisasi data, penghitungan jarak, penggabungan klaster, dan visualisasi dendrogram. Hasilnya menunjukkan bahwa algoritma ini efektif dalam mengelompokkan konflik lahan berdasarkan karakteristik populasi dan GDP yang berbeda, membantu memahami hubungan antar kasus hukum. Penelitian ini berkontribusi dengan mengidentifikasi faktor utama pemicu konflik lahan untuk mendukung manajemen lahan berbasis data. Rekomendasi kebijakan publik mencakup penetapan zona prioritas penyelesaian konflik, optimalisasi pengawasan hukum berbasis data, dan peningkatan transparansi dalam tata kelola lahan guna mencegah eskalasi konflik di wilayah PTPN Group.
Pemodelan Prediktif Menggunakan Metode Ensemble Learning XGBoost dalam Peningkatan Akurasi Klasifikasi Penyakit Ginjal Soelistijadi, R.; Wismarini, Th. Dwiati; Eniyati, Sri; Sunardi, S
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 4 (2024): Edisi Oktober
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i4.507

Abstract

Chronic Kidney Disease (CKD) is a serious global health problem. However, information about how many people are affected by CKD in several countries is not very abundant and is sometimes not the same from one source to another. This research aims to increase accuracy in classifying CKD patients using the XGBoost ensemble learning method. The XGBoost model was drilled using the CKD dataset of 400 data records which were divided into training data and test data with a ratio of 70% used as training data and 30% as test data. Then an optimization technique is carried out, namely the parameter tuning process using a grid search method to find the best value using 5 parameters, namely n_estimators, max_ depth, learning_rate, Subsample, Colsample bytree. The evaluation results using the confusion matrix, were obtained with an accuracy level of 99.16%, precision 98.17%, recall 99.16% and f1-score 99.16%. So the XGBoost algorithm implementing parameter tuning techniques is a good classification method that is good enough to be applied in CKD and Not CKD classification.
Sistem Monitoring Serapan Anggaran Belanja Barang Dan Jasa, Menggunakan Metode Rapid Application Development (Rad) Mufti Mutthohari, Aiddin; Sri Eniyati
Jurnal Mahajana Informasi Vol 7 No 2 (2022): JURNAL MAHAJANA INFORMASI
Publisher : Universitas Sari Mutiara Indonesia Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51544/jurnalmi.v7i2.3597

Abstract

The Police Academy is in the management of the budget absorption of goods and services, in each work unit and sub-unit under it has a budget absorption to support activities that take place at the Police Academy, from the planning sub-division which manages the budget absorption data at the Police Academy using an offline system where the data is not connected between the work unit staff and the Directorate of Administrative Planning (Bagrenmin) so it takes a long time. Submission of this thesis aims to develop a budget evaluation system at the Police Academy using a web-based application so that it can facilitate operators in processing financial data and facilitate managerial monitoring and evaluation. So that it makes it easier to manage budget absorption data within the Police Academy and shortens the time in processing it. Then the programming language used is php, the framework used is CodeIgniter and the data storage uses a mysql database. This study uses the RAD method in its application it does not take a lot of time so that it can shorten the time in making the system.
Penguatan Pengetahuan Penggunaan Google Form di Bidang Teknologi Informasi Bagi Kader PKK Kecamatan Ngaliyan Kelurahan Tambakaji Santi, Rina Candra Noor; Eniyati, Sri; Sulastri, Sulastri; Wicaksono, Ahmad Faiq; Fahlefi, Praditya
Community Engagement and Emergence Journal (CEEJ) Vol. 6 No. 1 (2025): Community Engagement & Emergence Journal (CEEJ)
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/ceej.v6i1.6453

Abstract

Google Form merupakan salah satu layanan yang disediakan oleh Google untuk membuat formulir online yang dapat digunakan untuk berbagai keperluan seperti survei, kuesioner, pendaftaran acara, pengumpulan data, dan sebagainya. Pelatihan dan pendampingan peningkatan penggunaan Google Form untuk kader PKK bertujuan untuk meningkatkan kemampuan teknis dan administratif mereka dalam memanfaatkan teknologi untuk kepentingan komunitas. Dengan pendekatan ini, pelatihan dan pendampingan peningkatan penggunaan Google Form diharapkan dapat memberdayakan kader PKK untuk lebih efektif dalam menjalankan tugas mereka dan memberikan layanan yang lebih baik kepada masyarakat.
Sistem Rekomendasi Dosen Pembimbing Tugas Akhir Menggunakan Content Based Filtering Anis Budiono; Sri Eniyati
Elkom: Jurnal Elektronika dan Komputer Vol. 16 No. 1 (2023): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v16i1.1002

Abstract

In general, the determination of supervisors at a university is determined by the department. The determination of supervisors is more on random factors or students who determine lecturers without considering the lecturers' expertise in the research to be carried out. The procedure for determining supervisors in this way will cause problems such as less than optimal results of the final assignment because the supervisor is not exactly selected. The final task supervisor has an important role because it has the responsibility to ensure that students are able to prepare the final assignment properly so that the final assignment is ready to be tested and qualified. In an effort to overcome the problem of inaccurate selection of supervisors, recommendations can be made based on expertise or research that has been carried out by supervisors using the con tent - based filtering method.
Co-Authors Afifah Nur Aini Alfath, Rizqy Maulana Anis Budiono Anis Budiono Antesia, Tiara Arief Jananto Budi Hartono Candra NS1, Rina Candra NS1, Rina Dwi Agus Diartono Edy Supriyanto Eka Ardhianto Endang Lestariningsih Enty Nur Hayati Eri Zuliarso Fadilla Nurul Alif Fahlefi, Praditya Felix Andreas Sutanto Felix Andreas Sutanto Felix Andreas Sutanto Firman Ardiansyah Ekoanindiyo Hana Arsita, Angelia Hari Murti Heribertus Yulianton Ida Bagus Indra Pratama Putra Imam Husni Al Amin Kasmari . Khristma Martha Kristophorus Hadiono Kristophorus Hadionod Kurniaji, Arba’i Mufti Mutthohari, Aiddin PRADIPTA, PRADIPTA Purwatiningtyas Purwatiningtyas R. Danantyo Andaru Kusumo R. Soelistijadi Retnowati Retnowati Retnowati Retnowati Rina Candra Noor Santi Rina Candra NS Ryan Ramawan, Dicky S Sunardi S.Pd. M Kes I Ketut Sudiana . Saefurrohman Sari, Septi Sekar Sariyun Naja Anwar Siregar, Mochamad Ibnu Rivaldi Soelistijadi, Soelistijadi Sri Mulyani Sugiyamta Sugiyamta Sulastri Sulastri Sulastri Teguh Khristianto Tri Arianto Veronica Lusiana Wicaksono, Ahmad Faiq Wismarini, Th Dwiati Wismarini, Theresia Yohanes Suhari