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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 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
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Pembuatan Dan Pemanfaatan Blog Bagi Guru Pendidikan Agama Islam Bengkulu Tengah Hari Aspriyono; Herlina Latipa Sari; Rizka Tri Alinse; Riska Riska; Hendri Alamsyah
Jurnal Dehasen Mengabdi Vol 2 No 2 (2023): September-Februari
Publisher : Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jdm.v2i2.11082

Abstract

One web-based platform that can be utilized is a blog, which enables users to publish information, share learning materials, and communicate online. However, some teachers who are members of the Islamic Religious Education Teachers Working Group (KKG PAI) in Region III of Central Bengkulu Regency still face limitations in utilizing information technology, particularly in creating and managing blogs. This community service activity aims to provide training on creating and utilizing blogs as an information medium for Islamic Religious Education teachers. The implementation method includes several stages: needs analysis, system design, blog development, system testing, and blog usage training. The results indicate that the KKG PAI blog for Region III Central Bengkulu was successfully developed and can function as a platform for disseminating organizational information and sharing knowledge among teachers. In addition, the training activities improved teachers’ knowledge and skills in utilizing information technology to support educational activities and organizational communication.
Implementasi Kriptografi Klasik Untuk Pengamanan Database Berbasis Web Hidayatullah Sholihin; Herlina Latipa Sari; Hari Aspriyono
Jurnal Media Infotama Vol 18 No 1 (2022): April
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v18i1.2122

Abstract

Database is a fundamental component of an information system, where its development or use must be viewed from a broader perspective based on the needs of the organization. With the database all work becomes easier, both in data processing and viewing the output of the data. However, in addition to this convenience, it takes the security side of each record in the database to maintain data confidentiality. Implementation of Classical Cryptography in database security is made using the PHP Programming Language and MySQL Database. The classical cryptographic algorithm applied in this study is the Railfence Ciper Algorithm. Applications and application databases are uploaded online through the hosting domain https://kriptografihidayat.my.id/ and can be accessed from anywhere and anytime via the internet. Based on the tests that have been carried out, the results show that the application is able to secure the employee database in each storage field, and the functionality of the application runs as expected. The key used cannot be changed dynamically, but can be changed statically because it has been integrated into the program code to perform encryption and decryption on each input field. Record Table in the employee database that has been encrypted using the Railfence Ciper algorithm, so it cannot be read. Wireshark managed to capture the packet, but it was detected that there was an encryption process going on.
Clustering Kualitas Kinerja Pegawai Pemerintah Dengan Perjanjian Kerja Pada Dinas Pekerjaan Umum Dan Penataan Ruang Kota Bengkulu Wahyu Ishak Marzuki; Herlina Latipa Sari; Yupianti Yupianti
Jurnal Media Infotama Vol 19 No 2 (2023): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v19i2.4300

Abstract

Abstract-The performance of Government Employees with Work Agreements (PPPK) is one of the elements that greatly determines the quality of PUPR services. With this very important function, PPPK performance needs to be managed properly to determine whether PPPK professionalism has been maximized. One way is by using the Clustering technique with the K-Means algorithm which is very fast in the process of grouping potential PPPK performance. This research method uses SDLC (System Development Life Cycle), which is a logical process used by systems analysts to describe an information system, including requirements, validation, training and ownership. The end result of this research is a system that can cluster PPPK performance into 3 parts where the Best Performance Quality consists of 7 people, Fairly Good Performance Quality consists of 1 person and Poor Performance Quality consists of 7 people.
SISTEM PAKAR MENDIAGNOSIS PENYAKIT RHINOSINUSITIS DENGAN MENGGUNAKAN METODE NAÏVE BAYES Muhammad Hafist Khalaf; Herlina Latipa Sari; Jhoanne Fredricka
Jurnal Media Infotama Vol 20 No 1 (2024): April 2024
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i1.5344

Abstract

Rafflesia Hospital Is One Of The Private Public Hospitals In Bengkulu City, And Is Supported By Specialist Doctors And Other Supporting Medical Facilities. One Of Them Is The Rhinosinusitis Service. Rhinosinusitis Is Inflammation Of The Mucosa Or Mucous Membrane Of The Nose And Sinuses. Rhinosinusitis Is Caused By All Conditions That Result In Obstruction Of The Flow Of Mucus From The Sinuses To The Nasal Cavity. Due To The Large Number Of Patients With Rhinosinusitis And Not Being Comparable To The Available Medical Personnel, There Is Limited Time For Patients To Consult And Receive Services At Rafflesia Hospital. The Expert System For Diagnosing Rhinosinusitis Using The Naïve Bayes Method Can Be Accessed Online With Internet Access Via The Web Link Http://Rhinosinusitis.Yms.My.Id/.This Expert System Application Was Created Using The PHP Programming Language And Mysql Database. In The Application, The Naive Bayes Method Has Been Applied Which Is Used To Trace Rhinosinusitis Based On The Symptoms Experienced By The Patient. The System Successfully Displays The Expert System Application Page And Can Assist In Diagnosing Rhinosinusitis, By Providing Consultation Directions Starting From Entering Symptoms To Obtaining Consultation Results And Solutions Provided To Treat The Disease. Based On The Results Of The Tests That Have Been Carried Out, It Can Be Concluded That The Expert System Application For Diagnosing Rhinosinusitis Using The Naive Bayes Method Is Running Well, As Shown By The Expert System Application For Diagnosing Rhinosinusitis Using The Naive Bayes Method That Can Be Easily Used By Users.
Penerapan Metode Customer Satisfication Indeks (CSI) Dalam Pengukuran Tingkat Kepuasan Pasien Terhadap Pelayanan Kesehatan Di Rsud Hasanuddin Damrah Manna Bima Dwi Cahya; Herlina Latipa Sari; Dimas Aulia Trianggana
Jurnal Media Infotama Vol 20 No 2 (2024): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i2.6515

Abstract

Hasanuddin Damrah Manna Regional General Hospital is one of the Regional General Hospitals in Bengkulu Province. So far, the Hasanuddin Damrah Manna Regional General Hospital already has a health service evaluation system based on the results of measuring the level of patient satisfaction, but the evaluation system is still manual in nature where the hospital distributes questionnaires to each patient to provide an assessment of satisfaction with the services provided by the hospital. Hasanuddin Damrah Manna Regional General Hospital. The application of the Customer Satisfication Index (CSI) method in measuring the level of patient satisfaction with health services at the Hasanuddin Damrah Manna Regional General Hospital can help the hospital in managing the results of assessing patient satisfaction with health services at the Hasanuddin Damrah Manna Regional General Hospital and can provide information results of measuring the level of patient satisfaction with health services at the Hasanuddin Damrah Manna Regional General Hospital as evaluation material to improve service quality. The application of the Customer Satisfication Index (CSI) method in measuring the level of patient satisfaction with health services at Hasanuddin Damrah Manna Regional General Hospital can be accessed online via the url link https://kepuasanrsudhasanuddindamrahmanna.my.id Based on the results of the demo program that has been carried out, 10 The respondent succeeded in providing an assessment of the application online using the respondent code that was obtained from the Hasanuddin Damrah Manna Regional General Hospital and the operator can also see the output of the satisfaction assessment results which will be given to the Head of the Hospital for evaluation. From the results of the assessment given by the 10 respondents, the results showed that the level of patient satisfaction with health services at the Hasanuddin Damrah Manna Regional General Hospital was Very Satisfied with a CSI (Customer Satifaction Index) value of 80.85%.
Klasifikasi Penjualan Perhiasan Menggunakan Metode Decision Tree Algoritma C4.5 (Studi Kasus: Toko Emas Berkat Famili) Herizal Syafputra; Herlina Latipa Sari; Khairil Khairil
Jurnal Media Infotama Vol 20 No 2 (2024): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i2.6517

Abstract

Jewelry sales classification using Decision Tree Method with C4.5 Algorithm at Berkat Famili Gold Shop can facilitate and assist the store in obtaining information on the classification of sales of goods that are most in demand (in demand) and those that are less in demand (less in demand) from the results of sales data processing. The aspects or attributes used as parameters for the classification process are item type, item name, price, weight per gram, grade, inventory, sales, and sales status. Of the 14 test data used, the results of rule formation were obtained as many as 8 rules. Based on the results of rule formation, it is obtained that the most popular items (in demand) are Indian earrings, plain rings, rice necklaces, crystal earrings if the price is more than Rp. 726667, model rings if the weight is more than 2gram. Based on the system tests that have been carried out, it can be concluded that the functional of the jewelry sales classification application at Berkat Famili Gold Shop can has run well and can provide the results of the classification of sales of goods automatically through the C4.5 Method.
Implementasi Data Mining Untuk Menunjang Strategi Promosi Prodi Informatika Universitas Dehasen Bengkulu Menggunakan Algoritma C4.5 Astika Sari; Herlina Latipa Sari; Devina Ninosari
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) Widia Sari; Herlina Latipa Sari; Jhoanne Fredricka
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 Agri Ayu Dewani; Herlina Latipa Sari; Eko Suryana
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 ALGORITMA K-NEAREST NEIGHBOR DALAM MENGUKUR TINGKAT KEPUASAN MASYARAKAT PADA PELAYANAN UMUM KANTOR KELURAHAN BELAKANG PONDOK BENGKULU Lisa Trisna Amelia; Herlina Latipa Sari; Ricky Zulfiandry
Djtechno: Jurnal Teknologi Informasi Vol 3, No 2 (2022): Desember
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/djtechno.v3i2.2733

Abstract

Kantor Kelurahan Belakang Pondok Kecamatan Ratu Samban Kota Bengkulu merupakan satu instansi pemerintah yang aktivitasnya memberikan pelayanan kepada masyarakat.Setiap tahunnya pihak Kantor Kelurahan Belakang Pondok Bengkulu melakukan survei dengan memberikan kuesioner kepada masyarakat, hal ini guna untuk mengevaluasi pelayanan pegawai di lingkungan Kantor Kelurahan Belakang Pondok. Namun proses tersebut masih dilakukan secara manual, yaitu data survei tersebut dihitung satu persatu agar dapat memperoleh hasil penilaian masyarakat.Penerapan Algoritma K-Nearest Neighbor dalammengukur kepuasan masyarakat di Kantor Kelurahan Belakang Pondok Bengkulu dapat dijadikan suatu wadah dalam membantu mengukurtingkat kepuasan masyarakat terhadap pelayanan di Kantor Kelurahan Belakang Pondok Bengkulu dengan mengetahui tingkat kepuasan masyarakat berdasarkan 5 kategori penilaian yaitu Sangat Puas, Puas, Cukup Puas, Kurang Puas dan Tidak Puas.Berdasarkan hasil pengujian yang telah dilakukan dengan n Algoritma K-Nearest Neighbor melalui data lama yang digunakan sebanyak 132 data kuesioner penduduk tahun 2021, dan data uji yang digunakan sebanyak 40 data kuesioner penduduk tahun 2022.Maka diperoleh hasil tingkat kepuasan masyarakat di tahun 2022 dengan persentase Sangat Puas 4,32% meningkat dari periode sebelumnya, Puas -11,06% menurun dari periode sebelumnya, Cukup Puas 6,74% meningkat dari periode sebelumnya, Cukup Puas 0,00% tidak mengalami peningkatan atau penurunan, Kurang Puas 0,00% tidak mengalami peningkatan atau penurunan.
Co-Authors Aan Herwansah Adetri Suprianto Agil Setiawan Agri Ayu Dewani Aji Sudarsono Alinse, Rizka Tri Andalah, Haluan Saputra Andre Wedianto Angga Gustianto Anggraini, Reren Anisa Mardhyath Anton Saputra Aprilia Dwi Gumay Ardiansyah, Sohenra Areni Areni Areni, Areni Arius Satoni Kurniawansyah Aryopi Arsipan Asnawati Asnawati Aspriyono , Hari Astika Sari Atang Khotami Azhar Dyo Pramono B. Herawan Hayadi Benri Melpa Metisen Bima Dwi Cahya Bobi Irawan David Tri Julian Devi Sartika Devina Ninosari Dewi Suranti Dimas Aulia Trianggana Edi Kusuma Negara Edo Alwis Eko Suryana Eko Suryana Elfianty , Lena Ezy Sulastari Fakhri Ardiansyah Farizal Sinambela Febrianto Febrianto Felic Valentino Fenggi Wiranto Ferdynan Mashaq Feri Ramadiansyah Fredricka, Jhoanne Gustardi, Rion Gustianto, Angga Haluan Saputra Andalah Handika, Elsi Hari Aspriyono Hari Aspriyono Harjoni Saputra Haryadi, B Herawan Hendri Alamsyah Herizal Syafputra Hermawansyah Hermawansyah Hidayatullah Sholihin Ila Yati Beti Ila Yati Beti Ilham Rivaldo Pratama Indra Utama Intan Diba Aulia Sari Jumadi, Juju Kanedi, Indra Kanedi Khairil Khairil Lena Elfianty Lena Elfianty Leni Natalia Zulita Lisa Trisna Amelia Liza Yulianti Mardiansa Mardiansa Maryaningsih Maryaningsih Mashaq, Ferdynan Moh. Syahrul Adlom Muhammad Anugrah Muhammad Fadhil Z, Rusdi Noor Rosa (p:43-50) Muhammad Hafist Khalaf 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 Rizka Tri Alinse Sallaby, Achmad Fikri Samsilul Azhar Samsuri Ridwan sapri sapri Sapri Sapri Saputra, Harjoni Sartika , Devi sono, Aji Sudar Sudarsono , Aji Sulastari, Ezy Suranti, Dewi Tessa, Prara Sindia Citra Toibah Umi Kalsum Toibah Umi Kalsum Venny Novita Sari Wahyu Al-Amar Wahyu Ishak Marzuki Widia Sari Wiranto, Fenggi Yanolanda Suzantri H Yanto, Reno Hendra Yosef Anggara Yupianti - Yupianti, Yupianti