Article Per Year (5 Year)
p-Index From 2021 - 2026
8.689
P-Index
This Author published in this journals
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 Pengabdian Masyarakat IPTEK Jurnal Multidisiplin Dehasen (MUDE) Jurnal Indonesia Raya Jurnal Media Computer Science Jurnal Dehasen Mengabdi Jurnal Komputer Indonesia VISA: Journal of Vision and Ideas Jurnal Komputer Akademika Journal of Engineering and Technology Innovation Jurnal Komputer, Informasi dan Teknologi
Herlina Latipa Sari
Unknown Affiliation
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 71 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 71 Documents
Search

 4   5   6   7   8 
Analisis dan Penerapan Algoritma Naïve Bayes untuk Klasifikasi Penyakit Gingivitis Fadhillah, Muhammad; Sari, Herlina Latipa; Elfianty, Lena
MEANS (Media Informasi Analisa dan Sistem) Volume 8 Nomor 2
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/means.v8i2.3264

Abstract

The aim of this research is to implement the Naïve Bayes algorithm for gingivitis classification at Dental Polyclinic, UPTD Pasar Ikan Health Center Bengkulu. The diagnosis of gingivitis is one of the diagnoses with severe conditions that are often complained at Dental Polyclinic, UPTD Pasar Ikan Health Center Bengkulu. However, the problem is that the services are still very limited because doctors are only on duty for 2 days a week. Therefore, a method is needed that is able to classify the risk level of various gingivitis diagnoses that occur at UPTD Pasar Ikan Health Center Bengkulu so that it can be immediately treated with appropriate action using Naïve Bayes method. From the results of tests carried out by Naïve Bayes method, it can be used as a solution for using this system. In its implementation, Naïve Bayes method can classify types of gingivitis at UPTD Pasar Ikan Health Center Bengkulu
Application Of Pcq (Per Connection Queue) In Limiting Bandwidth With The Simple Queue Method At Smkn 1 Seluma Yosef Anggara; Sari , Herlina Latipa; Suryana, Eko
Jurnal Komputer Indonesia Vol. 4 No. 1 (2025): Juni
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jki.v4i1.816

Abstract

The internet network at SMK Negeri 1 Seluma often experiences disruptions when used simultaneously by many users, causing a decline in signal quality and connection difficulties. This study aims to implement bandwidth management so that 30 Mbps internet access can be distributed evenly to three local networks, namely the Administration Room (15 Mbps), the Teacher's Room (10 Mbps), and the Laboratory (5 Mbps). The method used is the PPDIOO approach (Plan, Prepare, Design, Implement, Operate, Optimize) with Per Connection Queue (PCQ) configuration using Simple Queue on the Mikrotik router. Testing was conducted via speedtest before and after PCQ implementation in each room. The results show that bandwidth, which was previously not distributed proportionally, can now be distributed more fairly to each user. For example, in the TU room after PCQ implementation, each of the three clients received relatively equal bandwidth. The implementation of PCQ with Simple Queue proved effective in limiting and dividing bandwidth among users in a balanced manner and improving the overall stability of the school network.
Android-Based Expert System for Preliminary Anxiety Level Diagnosis in Generation Z Using the Beck Anxiety Inventory (BAI) Method Nugraha, Panca; Sari, Herlina Latipa; Aspriyono, Hari
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.v21i2.8453

Abstract

Tingkat kecemasan pada Generasi Z meningkat karena tekanan akademik, pengaruh media sosial, dan kekhawatiran terhadap masa depan. Jika tidak ditangani, hal ini dapat berdampak buruk pada kualitas hidup. Penelitian ini bertujuan mengembangkan aplikasi sistem pakar berbasis Android dengan metode Beck Anxiety Inventory (BAI) dan Certainty Factor (CF) untuk melakukan diagnosis mandiri. Aplikasi IREMIA dibangun dengan Flutter dan Cloud Firestore, dan mampu memberikan hasil diagnosis secara cepat dan akurat. Hasil penelitian menunjukkan bahwa aplikasi ini efektif dalam membantu pengguna memahami kondisi kecemasan mereka dan meningkatkan kesadaran akan pentingnya kesehatan mental.
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
Perancangan Sistem Pendukung Keputusan Kelayakan Angkutan Umum Berdasarkan Uji Kir pada Dinas Perhubungan Bengkulu Tengah Riko Mandala Putra; Herlina Latipa Sari; Devi Sartika
Journal Of Engineering And Technology Innovation ( JETI ) Vol. 2 No. 03 (2025): Journal Of Engineering And Technology Innovation ( JETI )
Publisher : Rey Media Grafika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66084/jeti.v2i03.53

Abstract

Kebutuhan akan angkutan umum sebagai salah satu sarana transportasi sangat diperlukan khususnya di wilayah Bengkulu Tengah yang memiliki mobilitas yang sangat tinggi untuk kegiatan mereka sehari-hari. Dari kondisi tersebut kabupaten Bengkulu Tengah melalui Dinas Perhubungan UPTD Balai Pengujian Kendaraan Bermotor Kabupaten Bengkulu Tengah dengan upaya untuk melayani masyarakat dalam memenuhi kebutuhan angkutan yang representatif. Untuk meminimalisir masalah tersebut diantaranya dengan merancang sistem yang dapat menangani kelayakan angkutan dengan menerapakan sistem pendukung menggunakan metode Simple Additive Weighting. Hasil penerapan metode Simple Additive Weighting dapat digunakan Dinas Perhubungan UPTD Balai Pengujian Kendaraan Bermotor Kabupaten Bengkulu Tengah dalam menentukan rekomendasi kelayakan kendaraan angukutan umum untuk beroperasi berdasarkan kriteri uji KIR.
Expert System To Diagnose Periodontal Disease Using Certainty Factor Method Ferdynan Mashaq; Herlina Latipa Sari; Prahasti Prahasti
Jurnal Komputer, Informasi dan Teknologi Vol. 1 No. 1 (2021): Juni
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v1i1.149

Abstract

This study aims to create an expert system application to diagnose periodontal disease in humans using the Certainty Factor Method. Periodontal is a dental disease that causes tooth loss due to inflammation from bacteria that results in progressive damage to the supporting tissues of the teeth. The problem that often occurs is the lack of knowledge and limited sources of information causing low public awareness of efforts to prevent and even treat dental and oral diseases. The MySQL database can accommodate patient information and data who consult with an expert system that can provide convenience for patients to consult about periodontal disease. From the results of the system program on the users, it was found that the average results of respondents' answers which reached 53% answered strongly agree, 26% answered agree, 14% answered less agree and only 7% of respondents answered disagreed. So from the results of data processing, it can be concluded that this system is feasible to use. Because more than half of the respondents agree that this system is suitable to use.
Co-Authors Aan Herwansah Adetri Suprianto Agil Setiawan Aji Sudarsono Alamsyah, Hendri 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 Haluan Saputra Andalah Handika, Elsi Hari Aspriyono Hari Aspriyono Harjoni Saputra Haryadi, B Herawan Hermawansyah Hermawansyah Ila Yati Beti Ila Yati Beti Ilham Rivaldo Pratama Indra Utama Intan Diba Aulia Sari Juju Jumadi 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 Riko Mandala Putra Rina Julita Rion Gustardi Riska Riska Rizka Tri Alinse Sallaby, Achmad Fikri Samsilul Azhar Samsuri Ridwan Santosa, Artha Dwika sapri sapri Sapri Sapri Saputra, Harjoni Sari, Astika Sari, Widia Sartika , Devi Sholihin, Hidayatullah 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