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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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Penerapan Metode Customer Satisfication Indeks (CSI) Dalam Pengukuran Tingkat Kepuasan Pasien Terhadap Pelayanan Kesehatan Di Rsud Hasanuddin Damrah Manna Cahya, Bima Dwi; Sari, Herlina Latipa; Trianggana, Dimas Aulia
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) Syafputra, Herizal; Sari, Herlina Latipa; 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.
PENERAPAN METODE K-MEDOIDS DALAM CLUSTERING BARANG BERDASARKAN PENJUALAN BARANG DI TOKO AMANAH PLAFON Sulastari, Ezy; Sari, Herlina Latipa; Alinse, Rizka Tri
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 7, No 4 (2024): November 2024
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v7i4.2183

Abstract

Penelitian ini bertujuan untuk mengelompokkan barang menggunakan metode K-Medoids berdasarkan hasil penjualan pada Toko Amanah Plafon. Pengelompokan barang yang efektif dapat membantu Toko Amanah Plafon dalam mengidentifikasi pola penjualan, mengoptimalkan manajemen stok, serta merencanakan strategi pemasaran yang lebih efektif. Metode K-Medoids digunakan untuk membagi barang-barang yang dijual oleh Toko Amanah Plafon menjadi beberapa kelompok berdasarkan kesamaan karakteristik. Metode K- Medoids menggunakan pusat kluster rata-rata sebagai representasi kluster, sedangkan K-Medoids menggunakan medoid, yaitu sampel data aktual yang mewakili kluster tersebut data penjualan Toko Amanah Plafon digunakan sebagai input dalam penelitian ini. Data ini mencakup informasi tentang barang- barang yang dijual dan jumlah penjualan yang terkait. Melalui analisis clustering, barang-barang tersebut akan dikelompokkan ke dalam kluster berdasarkan kesamaan pola penjualan. Dengan menggunakan metode K-Medoids, diharapkan penelitian ini dapat memberikan kontribusi dalam pengelompokan barang yang lebih efektif dan membantu pihak Toko Amanah Plafon dalam meningkatkan efisiensi operasional serta pengambilan Keputusan yang lebih baik berdasarkan hasil penjualan
Application of the Weighted Product (WP) Method in the Decision Support System for Determining the Best Employee Case Study of Pt Alno Air Ikan Estate Yanto, Reno Hendra; Sari , Herlina Latipa; Sudarsono , Aji
Jurnal Komputer Vol 1 No 1 (2022): Juli-Desember
Publisher : CV. Generasi Insan Rafflesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70963/jk.v1i1.9

Abstract

PT. Alno Air Ikan Estate is a company engaged in the oil palm and rubber plantations located in Mukomuko Regency, Bengkulu Province. PT Alno Air Ikan Estate is still using conventional methods to determine the best employees so it requires a decision support system that can correct weaknesses. One of the Decision Support System methods is Weighted Product (WP). This method is the method used in the simplest ranking of values ​​by using multiplication to relate rating attributes where the rating must first be raised to the weight of the attribute in question. Application Application of the weighted product (WP) method in a decision support system to determine the best employee, can be used to determine the best employee based on criteria, namely attendance value, years of service, attitude, and supporting elements. Based on the research results of the 15 samples used in the application of the weighted product (WP) method in the decision support system for determining the best employee, the best employee is Joko Purwanto with a value of 0.09. This application is made using the Visual Basic Net programming language with SQL server database. The author's suggestion is that this new system should be used as a basis for improving the old system at PT. Alno Air Fish Estate which is still manual.
Application of Fuzzy C-Means Algorithm in Grouping Population Status in Nanjungan Village Ardiansyah, Sohenra; Sari , Herlina Latipa; Sartika , Devi
Jurnal Komputer Vol 1 No 1 (2022): Juli-Desember
Publisher : CV. Generasi Insan Rafflesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70963/jk.v1i1.10

Abstract

Nanjungan Village is one of the villages in Semidang Alas District, Seluma Regency, Bengkulu Province. Every year, the Nanjungan Village Office collects population data within the scope of Nanjungan Alas Village in order to find out the underprivileged population in the village. However, the processing of population data is still done manually by surveying each resident and providing an assessment. The application of the Fuzzy C-Means algorithm in grouping population status in Nanjungan Village can help manage population data and can also help provide recommendations in the form of information on the results of grouping population status data which is divided into 2 groups, namely the less fortunate and the less fortunate. Based on the results of the tests that have been carried out by applying the Fuzzy C-Means Algorithm through observational data in 2021, totaling 618 residents in Nanjungan Village, 5% of the population is taken so that the data is processed as many as 31 residents, the result is that 51.6 % entered into Cluster C1 (Disabled) and 48.4% entered into Cluster C2 (Poor)
Implementation Of Weighted Product Method In Cadre Selection At Sawah Lebar Community Health Center Bengkulu Anggraini, Reren; Sari, Herlina Latipa; Sudarsono, Aji
Jurnal Media Computer Science Vol 4 No 2 (2025): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v4i2.8459

Abstract

Sawah Lebar Health Center Bengkulu faces challenges in selecting health cadres who have the right qualifications and abilities to support health programs in the community. Selecting the right cadres is an important factor in improving the quality of health services at the basic level. One method that can be used to assist in this selection process is the Weighted Product (WP) method. This method is used to perform objective calculations and assessments based on predetermined criteria, such as education level, work experience, communication skills, and commitment to health programs.The purpose of this study was to implement the Weighted Product method in selecting cadres at Sawah Lebar Health Center Bengkulu and to evaluate the most relevant criteria in selecting the right cadres. In addition, this study aims to test the effectiveness of the system built using the WP method in providing optimal cadre recommendations.The method used in this study is to collect data on cadre candidates, then assess each candidate based on the weight and criteria that have been determined. The results of the system test show that the use of the WP method can produce objective cadre selection, reduce subjectivity in decision making, and increase transparency in the selection process. In the system testing, this system successfully provided results that were in accordance with the expectations and priorities of the Health Center in selecting cadres.In conclusion, the application of the Weighted Product method can improve the accuracy and objectivity in selecting cadres at the Sawah Lebar Bengkulu Health Center. The system that was built has also proven effective in providing recommendations for cadres that are in accordance with the established criteria, so that it can support the success of health programs in the region.
Algoritma K-Nearest Neighbour Dalam Mengklasifikasi Penilaian Peserta Didik Anisa Mardhyath; Herlina Latipa Sari; Julita, Rina
JSAI (Journal Scientific and Applied Informatics) Vol 3 No 3 (2020): November
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v3i3.1163

Abstract

PAUD IT Al Hasanah merupakan pendidikan anak usia dini yang terletak di Jalan Pagar Dewa Kota Bengkulu. Selama ini proses pengklasifikasian peserta didik dilakukan dengan cara mendata semua peserta didik yang mengikuti setiap pelajaran, kemudian guru memberikan nilai pada masing-masing peserta didik. Nilai tersebut akan diklasifikasikan dengan Belum Berkembang (BB), Mulai Berkembang (MB), Berkembang Sesuai Harapan (BSH), dan Berkembang Sangat Baik (BSB). Setelah diklasifikasikan, guru akan mengetahui kompetensi dari masing-masing peserta didik. Permasalahan yang terjadi di PAUD IT Al Hasanah adalah semua proses pengklasifikasian peserta didik tersebut masih dilakukan secara manual dengan menggunakan lembaran penilaian, sehingga membutuhkan waktu yang lama dalam mengetahui kompetensi dari masing-masing peserta didik.Aplikasi pengklasifikasian data peserta didik di PAUD IT Al Hasanah merupakan suatu aplikasi yang dapat membantu dalam mengklasifikasi peserta didik berdasarkan penilaian peserta didik yang telah dilakukan, dengan 4 jenis kategori BB (Belum Berkembang), MB (Mulai Berkembang), BSH (Berkembang Sesuai Harapan), BSB (Berkembang Sangat Baik). Aplikasi ini telah diterapkan Algoritma KNN, sehingga hasil akhir yang didapatkan berdasarkan tahapan dari algoritma tersebut dengan merujuk kepada jumlah K tetangga yang ditentukan. Berdasarkan pengujian yang telah dilakukan, aplikasi dapat memberikan informasi hasil klasifikasi peserta didik secara otomatis melalui tahapan algoritma KNN
Association Rule Mining System in Analyzing The Use Pattern of Drugs by Using Apriori Herlina Latipa Sari; Ila Yati Beti
International Journal of Artificial Intelligence Research Vol 6, No 2 (2022): Desember 2022
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v6i2.1411

Abstract

Data mining is a process to support decision making in finding information patterns in the data. In this study, Association Rule Mining will be implemented as one of the data mining techniques to analyze data and assist data of scientists in compiling raw data, formulating it and recognizing various patterns through a priori algorithms. The method used in this study is the Cross Industry Standard Process for Data Mining (CRISP-DM) Method by analyzing drug use patterns in health centers. The results of the study shows that by using the apriori algorithm, it found patterns and rules of widely used drugs that will provide recommendations in supporting decision making by health centers to submit drug procurement so that they can improve the quality of health services and minimize the risk of shortages or excess drug supplies and help health centers in optimizing drug inventory management.  The results of the analysis using the apriori algorithm on the combination pattern of 2 itemsets produced 2 association rules for drug use, they are "If using Amoxicillin caplets 500 mg, then you will use paracetamol" with a confidence value of 80% and "If using Dexamethasone tablets 0.5 mg, then you will use Ascorbic Acid (Vit C) tablets 50 mg" with a confidence value of 100%.
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.
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 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 Venny Novita Sari Wiranto, Fenggi Yanolanda Suzantri H Yanto, Reno Hendra Yosef Anggara Yupianti - Yupianti, Yupianti Yupianti, Yupianti