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Pelatihan Pengolahan Minyak Jelantah dan Sampah Anorganik pada Bank Sampah Melati Bersih Atsiri Permai RW 12, Bojonggede, Kabupaten Bogor Handayanna, Frisma; Rusiyati, Sri; Purnamasari , Indah
Indonesian Journal of Society Engagement Vol. 5 No. 2: Agustus 2024
Publisher : Lembaga Kajian Demokrasi dan Pemberdayaan Masyarakat (LKD-PM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33753/ijse.v5i2.159

Waste is one of the main problems of environmental sustainability, the volume of waste piled up that is not handled properly can pollute the environment, blockages of water channels cause flooding and have various negative impacts on public health, especially inorganic waste from waste that is difficult to decompose naturally. Melati Bersih Atsiri Permai RW 12 Waste Bank with the motto Clean and Smile Movement starting from the 3 R's, namely Reduce, Reuse, Recycle as an institution that drives community empowerment for effective waste management by sorting inorganic waste and collecting used cooking oil as an application of the green economy concept. The problem faced by the Waste Bank is limited knowledge of human resources regarding processing used cooking oil, green economy and inorganic waste. So Nusa Mandiri University lecturers and students held Community Service activities as a 2024 Grant and were funded by the Directorate of Research, Technology and Community Service, Directorate General of Higher Education, Research and Technology, Ministry of Education, Culture, Research and Technology of the Republic of Indonesia . The aim of this activity is to implement used cooking oil processing and create inorganic waste creations according to the green economy concept. The method used is to provide assistance and training in waste bank activities through socialization and training on processing used cooking oil and inorganic waste. The results of the training showed that there was an increase in the participants' knowledge, creativity and innovation in processing used cooking oil into candles and soap, processing inorganic waste into craft creations with high marketability and were motivated to start entrepreneurship.

Penerapan Naive Bayes Terhadap Sentimen Analisis Media Sosial Twitter Pengguna Commuter Line Sunarti, Sunarti; Handayanna, Frisma; Wulandari, Dewi Ayu Nur
Techno.Com Vol. 23 No. 4 (2024): November 2024
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/tc.v23i4.11497

Commuter Line ialah salah satu sektor pelayanan publik dibidang transportasi banyak dipergunakan oleh masyarakat saat ini. Sesuai perkembangan teknologi banyak opini masyarakat terhadap pelayanan Commuter Line beredar secara online, untuk menyampaikan opininya masyarakat menggunakan media sosial seperti Twitter. Media Twitter dapat dijadikan sebagai bahan evaluasi peningkatan kualitas layanan. Twitter memudahkan pelanggan untuk menyampaikan keluhan serta pendapat terkait layanan seperti PT KAI Commuter. Untuk memahami komentar pelanggan, persepsi layanan publik, dan mendapatkan opini baru maka perlu dilakukan analisis sentimen terhadap pelayanan Commuter Line. Analisis sentimen ini bertujuan untuk mengklasifikasikan tweets masyarakat terhadap layanan Commuter Line ke dalam sentimen complain dan not complain dengan menggunakan metode Naive Bayes. Metode ini mempunyai tingkat akurasi paling tinggi dalam pengklasifikasian analisis sentimen. Data yang diunduh dari Twitter menggunakan aplikasi RapidMiner sebanyak 1.010 tweet dan data validasi sebanyak 1.003 tweets. Pada akhir tahap penelitian diperoleh accuracy 78,11%, precision 81,76%, recall 72,51%, dan AUC yang didapat sebesar 0,814. Kata kunci: Analisis sentimen; Commuter Line; Twitter; Naive Bayes

Rekomendasi Laptop Gaming High end untuk Gamer Professional dengan Elimination Et Choix Traduisant la Realite (ELECTRE) Arisawati, Ester; Rinawati, Rinawati; Handayanna, Frisma; Sihombing, Erene Gernaria; Dewi, Linda Sari
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 3, No 2 (2019): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

The purpose of this research is as a recommendation tool in determining high end gaming laptops for professional gamers by using a decision support system. The settlement method used in this study is Elimination Et Choix Traduisant la Realite (ELECTRE). The data collection techniques were carried out randomly by conducting observations, interviews and questionnaires to 250 respondents (gamers) and 10 computer shops in the district of Simalungun. In this study, using five alternatives, among others: Asus ROG G703 (A1), Razer Blade Pro (A2) MSI GT75VR Titan-083 (A3), Acer Predator Triton 700 (A4), Alienware 17 (A5) and five assessment criteria, among others: Price (C1), Processor Type (C2), RAM Capacity (C3), VGA Card Type (C4) and Hard Drive (C5). The results of the Elimination Et Choix Traduisant la Realite (ELECTRE) method recommend the Predator Triton 700 (A4) alternative as the first recommendation for the selection of high end gaming laptops for professional gamers.

Sistem Pendukung Keputusan Perekrutan Karyawan Online Untuk Penerimaan Karyawan Dengan Metode MOORA Fatmawati, F; Handayanna, Frisma; Purnamasari, Indah
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 2 (2020): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v4i2.240

One company that always gets a lot of prospective employees is PT. Fullmoon Jaya Abadi is engaged in the wholesale trade of special CCTV material. At PT. Fullmoon Jaya Abadi data obtained from the employee recruitment process still use manual methods, so the HRD (Human Resource Development) division must sort and select applicants one by one. A large number of candidates make the HRD division often have difficulty in choosing prospective employees, and subjectivity occurs when they want to decide so that the company accepts employees who do not fit the criteria set by the company. To overcome the problem of making decisions on employee acceptance at PT. Jaya Fullmoon Abadi is using the Multi-Objective Optimization method based on ratio analysis (MOORA). In research data collected based on the position of prospective employees. The results obtained in this study determine each position to receive as many as three prospective employees, namely Arianto Wibowo, Deny Saputra, and Irdha Febriani Awaliyah Ibrahim in the Sales position. Ilham Akbar N.S, Johan Salim, and Alfi Muhayyar in the Graphic Design position. Agustin Sulistyani, Sri Mulyani, and Serli Damayanti in the Accounting Staff position. Hendri Tanu, Adinda Helena, and Wajum Rodi in the IT Support position. Hartopo and Taufik Hidayat in the position of Sales Project.

Aplikasi Monitoring Proses Distribusi Makanan Beku Untuk Informasi Secara Realtime Susliansyah, Susliansyah; Handayanna, Frisma
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 2, No 1 (2018): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

The control of frozen food distribution process done by the logistic part in obtaining the data is still manual, using the form and excel, causing the admin difficulty in monitoring and controlling the distribution process or the delivery of frozen food to store or outlet. Problem solving is made an application using data collection method and RAD method, where the model of Rapid Application Development (RAD) has business modeling stage using kebutuah application admin and user, data modeling that explains the use of ERD and LRS from the database side, about usecase diagrams and activity diagrams from the application process side, application generation evolves about programming languages in application creation while testing and turnover describes the use of white box testing. The purpose of the application is made to facilitate the related division in processing the data distribution process, monitor and control the distribution process and obtain information distribution process in realtime.

Analisis Pola Pembelian Obat di Apotek Sekar Adi Menggunakan Metode Algoritma Apriori Depok Sutomo, Siti Awaliyah Rachmah; Handayanna, Frisma
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 1 (2020): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

By using data mining methods can be processed to obtain information and assist in decision making, the amount of data on sales transactions in each drug purchase can cause a data accumulation and various problems, such as drug stock inventory, and sales transaction data, with Data mining techniques, the behavior of consumers in making transactions of drug purchase patterns can be analyzed, It can be known what drugs are commonly purchased by mostly people, the application of Apriori Algorithm is expected to help in forming a combination of itemset. The process of determining drug purchase patterns can be carried out by applying the Appriori algorithm method, determination of drug purchase patterns can be done by looking at the results of the consumer's tendency to buy drugs based on a combination of 3 itemset. By calculating the Analysis of High Frequency Patterns and the Formation of Association Rules, with a minimum of 30% support, there is a combination of 3 itemsset namely MOLAGIT PER TAB (M1), VIT C TABLET (V2), and PARACETAMOL 500 MG TABLET (P2) with 33.33 % support results obtained, and with minimum confidence of 65% there are 6 final association rules.

Analisa Kemanfaatan Dan Kemudahan Terhadap Penerimaan Sistem OPAC Menggunakan Metode TAM Kharismaya, Citra; Dewi, Linda Sari; Arisawati, Ester; Handayanna, Frisma
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 1, No 1 (2017): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

This study describes the reception OPAC Davis 1989 TAM variables namely perceived usefulness (perceived benefit), perceived ease of use (ease perceived) and accepted (acceptance) OPAC. In this study, data were collected through a questionnaire using Likert scale to 100 users si¬stem den response OPAC (Online Public Access Catalog). Sampling technique used is purposive sampling to determine the level of acceptance of the system OPAC (Online Public Access Catalog). Quantitative analysis includes the validity, reliability. In the classic assumption test, used test for normality, multicollinearity and heterokedastisitas with F and t hypothesis testing. Multiple linear regression analysis is used to determine the effect of the independent variables with the dependent variable. The results showed that perceived usefulness and perceived ease have a significant effect on the acceptance by the user system (R Square) amounted to 40.8%.

Sistem Pakar Diagnosa Autisme Pada Anak Berbasis Android Nurhakim, Nurhakim; Handayanna, Frisma; Rinawati, Rinawati
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 1, No 2 (2017): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Autism is a developmental disorder in children that causes child is difficult do communicte and interact socially. An expert system identification and treatment of autistic children based on android has not been widely applied, ussually only done manually based on the identification of a Psychologist assessment. Identification expert system is expected to assist in the identification of children with autism are much faster and accurate approach using data from Psychologists and special needs teachers. Knowledge in the expert system is represented in the form of rules and methods of reasoning and used method of trace forward chaining. Output on a system such as whether Three si The possibility of autism in child based on facts bor symptoms given to the system. The test results shaw that the system of identification Ana treatment of autistic children to help in the identification of children with autism and provide general description of the autistic child. In addition, there is also general information on children with autism and theirs methods of theraphy for children with autism in accordance with the conditions of the child.

Application of Learning Rate in Artificial Neural Networks to Increase Prediction Accuracy on Rubber Tree Maintenance Costs Sihombing, Erene Gernaria; Aristawati, Ester; Rinawati, R; Handayanna, Frisma; Dewi, Linda Sari
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 4 (2024): Edisi Oktober
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i4.467

This research aims to explore the impact of various learning rate values in artificial neural networks (ANN) in increasing the accuracy of predicting rubber tree maintenance costs. Using a dataset that includes factors such as tree age, soil conditions, weather, and maintenance methods, an ANN model is built and tested with various learning rate values to find optimal parameters. The research results show that the influence of various learning rate values on the performance of artificial neural networks (ANN) in predicting rubber tree maintenance costs varies significantly. From the training and testing results, learning rate 0.1 shows the best results with MSE 0.00995387 and 75% accuracy on training data, and MSE 0.00976614 and 83% accuracy on testing data. This conclusion emphasizes the importance of choosing the right learning rate value in applying ANN to predict rubber tree maintenance costs, which is expected to help plantation managers improve operational efficiency and cost management.

Rekomendasi Laptop Gaming High end untuk Gamer Professional dengan Elimination Et Choix Traduisant la Realite (ELECTRE) Arisawati, Ester; Rinawati, Rinawati; Handayanna, Frisma; Sihombing, Erene Gernaria; Dewi, Linda Sari
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 3, No 2 (2019): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

The purpose of this research is as a recommendation tool in determining high end gaming laptops for professional gamers by using a decision support system. The settlement method used in this study is Elimination Et Choix Traduisant la Realite (ELECTRE). The data collection techniques were carried out randomly by conducting observations, interviews and questionnaires to 250 respondents (gamers) and 10 computer shops in the district of Simalungun. In this study, using five alternatives, among others: Asus ROG G703 (A1), Razer Blade Pro (A2) MSI GT75VR Titan-083 (A3), Acer Predator Triton 700 (A4), Alienware 17 (A5) and five assessment criteria, among others: Price (C1), Processor Type (C2), RAM Capacity (C3), VGA Card Type (C4) and Hard Drive (C5). The results of the Elimination Et Choix Traduisant la Realite (ELECTRE) method recommend the Predator Triton 700 (A4) alternative as the first recommendation for the selection of high end gaming laptops for professional gamers.

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