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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Media Infotama Jurnal Informatika Jurnal Pseudocode International Journal of Artificial Intelligence Research Jurnal Ilmiah Matrik JOURNAL OF SCIENCE AND SOCIAL RESEARCH JSAI (Journal Scientific and Applied Informatics) Community Development Journal: Jurnal Pengabdian Masyarakat MEANS (Media Informasi Analisa dan Sistem) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) GATOTKACA Journal (Teknik Sipil, Informatika, Mesin dan Arsitektur) Djtechno: Jurnal Teknologi Informasi KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Komputer, Informasi dan Teknologi Jurnal Pengabdian Masyarakat IPTEK Jurnal Multidisiplin Dehasen (MUDE) Jurnal Indonesia Raya Jurnal Media Computer Science Jurnal Komputer Indonesia VISA: Journal of Vision and Ideas Jurnal Komputer Akademika
Herlina Latipa Sari
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Implementasi Data Mining Untuk Menunjang Strategi Promosi Prodi Informatika Universitas Dehasen Bengkulu Menggunakan Algoritma C4.5 Sari, Astika; Sari, Herlina Latipa; Ninosari, Devina
Jurnal Media Infotama Vol 21 No 2 (2025): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i2.8984

Abstract

Promosi Pendaftaran Penerimaan Mahasiswa Baru (PPMB) di Fakultas Ilmu Komputer Program Studi Informatika bertujuan untuk memperkenalkan keunggulan prodi kepada calon mahasiswa agar terbangun minat, kesadaran dan keinginan untuk mendaftar. Promosi membutuhkan strategi yang tepat sasaran agar efisiensi biaya, tenaga dan waktu dapat dioptimalkan. Untuk itu dibutuhkan suatu sistem yang mampu menganalisa serta mengklasifikasi data calon mahasiswa secara tepat. Algoritma Decission Tree C4.5 dapat membantu melakukan klasifikasi data karena karakteristik data yang diklasifikasikan dapat diperoleh dengan jelas, baik dalam bentuk struktur pohon keputusan maupun dalam bentuk aturan atau rule. Implementasi sistem menggunakan bahasa pemrograman PHP dengan database MySql dan metode yang digunakan dalam penelitian ini adalah tahap metode penelitian. Tahap metode penelitian mampu melakukan analisa kebutuhan yang digunakan untuk mengetahui dari kelemahan sistem yang lama, kemudian membuat desain dari rancangan tersebut dan dilanjutkan dengan pembuatan rancangan sistem baru Kesimpulan dari hasil penelitian ini menerangkan bahwasannya proses klasifikasi strategi promosi dengan algoritma C4.5 terlebih dahulu melalui proses training dan testing. Hasil dari proses algoritma C4.5 dapat diimplementasi sebagai pendukung dalam menentukan strategi promosi berdasarkan pohon Keputusan.
Sistem Pendukung Keputusan Dalam Kelayakan Penerima Bantuan PKH Menggunakan Metode Multi Objective Optimization On The Basic Of Rat Io Analysis (MOORA) Sari, Widia; Sari, Herlina Latipa; Fredricka, Jhoanne
Jurnal Media Infotama Vol 21 No 2 (2025): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i2.9185

Abstract

The Family Hope Program (PKH) is one of the government's efforts to overcome poverty by providing social assistance to poor families. However, selecting the right and objective recipients of assistance is an important challenge to ensure that the assistance is right on target. This study aims to develop a decision support system (DSS) in determining the eligibility of PKH assistance recipients using the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) method. The MOORA method was chosen because of its ability to process several criteria simultaneously, So that it can provide more accurate and objective decisions. The system considers various criteria such as income level, number of family members, and socio-economic status to calculate the eligibility score of aid recipients. The results of this system are expected to provide recommendations for PKH aid recipients that are more efficient, fair, and in line with government priorities. The trials conducted on aid recipient data are expected to demonstrate the accuracy and effectiveness of the system in facilitating more precise and transparent decision-making.
Klasifikasi Status Gizi Balita Menggunakan Metode Naive Bayes Di Puskesmas Sawah Lebar Kota Bengkulu Dewani, Agri Ayu; Sari, Herlina Latipa; Suryana, Eko
Jurnal Media Infotama Vol 21 No 2 (2025): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i2.9286

Abstract

Toddler is an abbreviation for babies under five years old, a time when the child's brain experiences rapid growth. Nutrition is actually the most important thing because it is related to human health itself, especially toddlers. In general, toddlers are very vulnerable to nutritional status problems. Therefore, the growth and development of toddlers is an important concern for parents. Classification of nutritional status of toddlers using the Naïve Bayes method at the Sawah Lebar Health Center, Bengkulu City, can help in determining the level of health and make it easier to determine the nutritional status of toddlers so as to provide appropriate and necessary interventions to prevent or overcome nutritional problems in toddlers, and facilitate the classification process to solve problems in large amounts of data using the Naïve Bayes method. Based on testing data in the February Period of 2025, the results obtained are 4 toddlers into the classification of good nutritional status, 3 toddlers into the classification of malnutrition status, and 2 toddlers into the classification of risk of overnutrition. The results of this classification can then be used as a reference for medical personnel at the Bengkulu City Sawah Lebar Health Center to provide appropriate and necessary interventions to prevent or overcome nutritional problems in toddlers.
Penerapan Regresi Linear dalam Perkiraan Harga Beras di Kota Bengkulu Azhar Dyo Pramono; Herlina Latipa Sari; Ila Yati Beti
VISA: Journal of Vision and Ideas Vol. 4 No. 2 (2024): VISA: Journal of Vision and Ideas (In Press)
Publisher : IAI Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/visa.v4i2.3662

Abstract

The price of rice tends to fluctuate or change, therefore it is necessary to predict the price in the next period as an effort to maintain the stability of the average price of rice in the community. In Bengkulu City, there are 6 types of rice, namely IR 64 Lampung Local Rice (Medium), IR 64 Bengkulu Local Rice (Medium), Manggis Manis Rice (Premium), Kembang Kol Rice (Premium), Termurah Rice (medium), Bulog/Dolog rice. The implementation of linear regression in rice price forecasting in Bengkulu City can help provide an overview of the estimated price of rice in the next 1 year from January to December based on the results of processing time series data on previous rice prices through Linear Regression Method and can help people to minimize losses and maximize profits, especially for the business and economic sectors. Based on the test results of rice price data from 2021 to 2023, the average results of rice price forecasting on 6 types of rice in 2024 are IR 64 Lampung Local Rice (Medium) with a prediction of IDR 12,202, IR 64 Bengkulu Local Rice (Medium) with a prediction of IDR 12. 094,-, Manggis Manis Rice (Premium) with a prediction of Rp 14,876,-, Kembang Kol Rice (Premium) with a prediction of Rp 15,032,-, Termurah Rice (medium) with a prediction of Rp 11,437,-, Bulog/ Dolog rice with a prediction of Rp 10,900,-.
PENERAPAN METODE K-MEANS CLUSTERING DALAM PENGELOMPOKAN DATA PENJUALAN BARANG DI TOKO USAHA BINGKAI 2 BENGKULU Gustianto, Angga; Sari, Herlina Latipa; Kalsum, Toibah Umi
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 4 (2025): November 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i4.4813

Abstract

Abstract: Toko Usaha Logam 2 Bengkulu is a business selling frames, calligraphy, mirrors, and similar products that still manages transactions manually. This condition complicates the process of recording, sales analysis, and inventory management. This study applies the K-Means Clustering method to group sales data based on inventory quantity and sales volume. The data sample used is transactions during September 2025. Grouping is carried out into three clusters, namely: very popular items, medium-popular items, and not popular items. The results show that there are 6 items included in the very popular category (17.1%), 23 items are in the medium-popular category (65.7%), and 6 items are in the not popular category (17.1%). The application of the K-Means method has been proven to be able to provide information on sales patterns that can assist decision-making in stock management and sales strategies. Keywords: K-Means Clustering Method, Sales Data, Toko Usaha Frame 2 Bengkulu Abstrak: Toko Usaha Bingkai 2 Bengkulu merupakan usaha penjualan bingkai, kaligrafi, cermin, dan produk sejenis yang masih mengelola transaksi secara manual. Kondisi ini menyulitkan proses pencatatan, analisis penjualan, dan manajemen persediaan. Penelitian ini menerapkan metode K-Means Clustering untuk mengelompokkan data penjualan barang berdasarkan jumlah persediaan dan jumlah penjualan. Sampel data yang digunakan adalah transaksi selama bulan September 2025. Pengelompokan dilakukan ke dalam tiga cluster, yaitu: barang sangat laris, laris sedang, dan tidak laris. Hasil penelitian menunjukkan bahwa terdapat 6 barang termasuk kategori sangat laris (17,1%), 23 barang masuk kategori laris sedang (65,7%), dan 6 barang berada pada kategori tidak laris (17,1%). Penerapan metode K-Means terbukti mampu menyediakan informasi pola penjualan yang dapat membantu pengambilan keputusan dalam pengelolaan stok dan strategi penjualan. Kata kunci: K-Means Clustering Method, Sales Data, Toko Usaha Bingkai 2 Bengkulu
Co-Authors Aan Herwansah Adetri Suprianto Agil Setiawan Aji Sudarsono Alinse, Rizka Tri Andalah, Haluan Saputra Andre Wedianto Anggraini, Reren Anisa Mardhyath Anton Saputra Ardiansyah, Sohenra Areni Areni Areni, Areni Arius Satoni Kurniawansyah Aryopi Arsipan Asnawati Asnawati Aspriyono , Hari Atang Khotami Azhar Dyo Pramono B. Herawan Hayadi Benri Melpa Metisen Bobi Irawan Cahya, Bima Dwi David Tri Julian Devi Sartika Dewani, Agri Ayu Dewi Suranti Dimas Aulia Trianggana Dimas Aulia Trianggana Edi Kusuma Negara Edo Alwis Eko Suryana Eko Suryana Elfianty , Lena Fakhri Ardiansyah Farizal Sinambela Febrianto Febrianto Felic Valentino Ferdynan Mashaq Feri Ramadiansyah Fredricka, Jhoanne Fredricka, Jhoanne Gustardi, Rion Gustianto, Angga Handika, Elsi Hari Aspriyono Harjoni Saputra Haryadi, B Herawan Hermawansyah Hermawansyah Hidayatullah Sholihin Ila Yati Beti Ila Yati Beti Ilham Rivaldo Pratama Indra Utama Intan Diba Aulia Sari Juju Jumadi Julita, Rina Kanedi, Indra Kanedi Khairil Khairil Khairil Khairil Khalaf, Muhammad Hafist Lena Elfianty Leni Natalia Zulita Leni Natalia Zulita Lisa Trisna Amelia Liza Yulianti Liza Yulianti Mardiansa Mardiansa Maryaningsih Maryaningsih Marzuki, Wahyu Ishak Mashaq, Ferdynan Moh. Syahrul Adlom Muhammad Anugrah Muhammad Fadhil Z, Rusdi Noor Rosa (p:43-50) Ninosari, Devina Nugraha, Panca Nugroho Ponco Riyanto Prahasti Prahasti , Prahasti Prahasti Prahasti Prahasti, Prahasti Pramadana, Yoga Prara Sindia Citra Tessa Pratama, Ilham Rivaldo Rahmat Kurniawan Ramadiansyah, Feri Ricky Zulfiandry Ricky Zulfiandry Rion Gustardi Rizka Tri Alinse Sallaby, Achmad Fikri Samsilul Azhar Samsuri Ridwan sapri sapri Sapri Sapri Saputra, Harjoni Sari, Astika Sari, Widia Sartika , Devi sono, Aji Sudar Sudarsono , Aji Sulastari, Ezy Suranti, Dewi Syafputra, Herizal Tessa, Prara Sindia Citra Toibah Umi Kalsum Venny Novita Sari Wiranto, Fenggi Yanolanda Suzantri H Yanto, Reno Hendra Yosef Anggara Yupianti - Yupianti, Yupianti Yupianti, Yupianti