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All Journal JMM (Jurnal Masyarakat Mandiri) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Informatika Global Jurnal Abdimas Mandiri Malcom: Indonesian Journal of Machine Learning and Computer Science
Dona Marcelina
Fakultas Ilmu Komputer, Universitas Indo Global Mandiri Palembang
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Journal : Jurnal Informatika Global

 1 
E-Counseling Pelayanan Kesehatan Anak Dimasa Covid 19 Berbasis Mobile (Studi Kasus : Puskesmas Kenten) Evi Yulianti; Dona Marcelina
Jurnal Informatika Global Vol 13, No 1
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v13i1.2068

Abstract

With the COVID-19 outbreak and many conveniences in building mobile-based service applications. The Information System application can monitor children's health during the actual covid 19 pandemic online which can provide preventive and treatment measures during this pandemic period that we can do independently at home. By synergizing the e-counselling program for mobile-based child health services at the Kenten Palembang Health Center. Through a mobile-based e-counselling information system, it becomes a forum for information for mothers with toddlers who need health counseling services for children's diseases in the vicinity. The forward chaining method used in collecting data and information from the management and doctors of the Kenten Health Center with knowledge of the disease process by means of interviews, it was found that the facts most experienced by the surrounding community were the first types of facts, complaints, symptoms and suggestions for handling the two research rules by The third disease is how to implement E-Counseling for mobile-based Child Health Services. With the characteristics of the disease, symptoms, treatment, prevention. While the potential for online-based software development uses the waterfall method with technical use case diagrams, activity diagrams and class diagrams. MySql server application, Web server is used to support database creation. The results of this study can provide input and benefits, especially in child health service activities around the Kenten Palembang Health Center.Keywords: E-Counseling, forward chaining, waterfall, mobile-based
Penerapan Metode Forward Chaining Pada Sistem Pakar Identifikasi Penyakit Tanaman Kelapa Sawit Dona Marcelina; Evi Yulianti; Zaid Romegar Mair
Jurnal Informatika Global Vol 13, No 2
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v13i2.2299

Abstract

This application of an expert system for identification of oil palm plant diseases aims to make it easier for employees of the Oil Palm Research Center of Sungai Lilin Musi Banyuasin Business Unit to identify oil palm plant diseases based on the symptoms seen then this application provides solutions and appropriate control methods for plant diseases. the oil palm. The data used in this study are data on 10 diseases that exist in oil palm plants and 47 symptoms that appear. The method used in this expert system for identification of oil palm plant diseases uses the Forward Chaining method and the depth-first search tracking technique so that the tracking process will be tested from the first symptom to the last to get a conclusion in the form of the name of the disease along with its causes and how to control it. in this expert system, namely functional testing and expert system testing. Functional testing uses the Black Box method with the Equivalence Patitioning (EP) technique. System testing is carried out by system users, namely. Based on the results of testing with the Black Box method, the developed system functions as expected. Furthermore, expert testing is a test that compares the results of the system diagnosis with the results of expert diagnoses. Expertise test results also show good results. Furthermore, external testing, this test is by giving questionnaires to 35 respondents to get an assessment of the system. The results of the questionnaire (Expert) obtained a satisfaction value of 89.2%Keywords: Oil Palm Disease, Expert System, Forward Chaining Method, depth-first search
Sistem Pendukung Keputusan Penentuan Mutu Tanaman Karet (Studi Kasus PT. Hevea MK 1) Evi Yulianti; Dona Marcelina; Muti’a Rahma Aulia
Jurnal Ilmiah Informatika Global Vol. 14 No. 1
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v14i1.2976

Abstract

Determination of Product Quality of Hevea Brasiliensis (Rubber) at PT. Hevea MK 1 Palembang is very important in improving the quality of service to consumers. PT. Hevea MK 1 Palembang has not maximally utilized Information System Technology in determining the best quality of latex, resulting in a relatively long time in calculating the quality value of latex rubber, the need for Information Systems Technology that can support Decision Making to solve structured and unstructured problems. Based on the problems above, we need a system that can solve the quality problem of Hevea brasiliensis (rubber) sap, with the Decision Support System determining the quality of Hevea Brasiliensis (rubber) sap is expected to help and facilitate the company in choosing the type of superior rubber seeds. This study aims to determine the best quality of latex Hevea Brasiliensis rubber at PT. Hevea MK 1 Palembang uses the promethee method. The output of this application is in the form of an alternative decision with the highestranking value. The Decision Support System was developed using PHP and MySQL programming as a Database Management System (DBMS). System testing resulted in Rank 1, namely A2 with Leaving Flow = 0.583333, Entering Flow = 0, Net Flow = 0.583333 while Rank 2, namely A3 with Leaving Flow = 0.166667, Entering Flow = -0.25, Net Flow = -0 .8333 and Rank 3, namely A1 with Leaving Flow = 0, Entering Flow = 0.5, Net Flow = -0.5
Penerapan Metode Forecasting Dalam Menentukan Prediksi Jumlah Mahasiswa Baru Dengan Menggunakan Single Exponential Smoothing M.S Rama Samudra; Dona Marcelina; Terttiaavini; Evi Yulianti; John Roni Coyanda; Indah Pratiwi Putri
Jurnal Ilmiah Informatika Global Vol. 15 No. 2: Agustus 2024
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v15i2.3916

Abstract

Forecasting adalah suatu proses analisis untuk memprediksi nilai-nilai masa depan berdasarkan informasi data historis, atau tren yang telah ada. Forecasting melibatkan metode matematika, statistik, untuk menghasilkan perkiraan tentang apa yang mungkin terjadi di masa mendatang dengan mengumpulkan data historis jumlah mahasiswa baru yang mendaftar selama 11 tahun terakhir. Data harus mencakup periode waktu yang cukup lama untuk mengidentifikasi tren dan pola, kemudian analisis data historis untuk mengidentifikasi tren, musiman, atau fluktuasi lainnya. Analisis data dilakukan dengan menggunakan teknik analisis single exponential smooting akan memperhitungkan nilai alpha (konstanta smoothing) untuk menghasilkan perkiraan yang paling akurat. Analisis data menggunakan tiga nilai konstanta alpha 0.3, 0.6, 0.9 tersebut akan dipilih nilai alpha dengan nilai error terkecil, dan kemudian akan di aplikasikan pada sistem peramalan berbasis website. Melalui sistem berbasis website, informasi dapat dikelola secara efisien dan memungkinkan Universitas Indo Global Mandiri untuk mengoptimalkan proses penerimaan mahasiswa baru mereka. Dengan menerapkan metode peramalan ini dalam sistem berbasis website, Universitas Indo Global Mandiri dapat mengelola informasi secara efisien, yang pada gilirannya akan membantu mereka mengoptimalkan proses penerimaan mahasiswa baru. Analisis data dengan tingkat error terkecil, dapat diartikan bahwa metode peramalan tersebut telah memberikan hasil yang sangat mendekati dengan data aktual, sehingga dapat diandalkan untuk melakukan proyeksi ke depan.
Co-Authors Annisa Kurnia Dhamayanti Dhamayanti Endang Sri Lestari Evi Purnamasari Evi Yulianti Evi Yulianti Imelda Saluza, Imelda Indah Pratiwi Putri John Roni Coyanda M.S Rama Samudra Mariska Putri Pratiwi Muti’a Rahma Aulia Sartika, Dewi Suryati Suryati Suryati Suryati Suryati, Suryati Terttiaavini Terttiaavini, Terttiaavini Yulianti, Evi