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E-COMMERCE DENGAN STRATEGI SHARING ECONOMY UNTUK KELOMPOK TANI “SUMBER REJEKI” Budi Santosa; Rifki Indra Perwira; Mangaras Yanu Florestiyanto
Seminar Nasional Informatika (SEMNASIF) Vol 1, No 2 (2016): Semnasif 2016
Publisher : Jurusan Teknik Informatika

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Kelompok Tani “Sumber Rejeki” terletak di dusun Setran, Banyudono, Dukun, Magelang yang merupakan daerah yang sangat cocok untuk pertanian. Selain menghasilkan aneka sayuran segar secara organik,, Kelompok Tani ini juga memproduksi aneka makanan ringan dari hasil budidaya pertanian organiknya, antara lain bayam goreng (keripik bayam), pare goreng (keripik pare), dan pegagan goreng (keripik pegagan). Saat ini pemasaran terhadap produk makanan ringan yang dihasilkan terbatas pada lokasi di sekitar desa tersebut, sedangkan aneka produk tersebut mempunyai potensi dan nilai jual untuk dipasarkan secara luas. Berdasarkan analisis kondisi mitra dan lingkungan sekitarnya permasalahan yang dihadapi oleh mitra adalah bagaimana melakukan perluasan pasar produksi produk olahan hasil budidaya pertanian organiknya untuk menjaga eksistensi mitra tanpa merusak harmonisasi mitra dengan petani dan kelompok tani lain khususnya dalam persaingan harga. Di dalam kegiatan pengabdian ini dihasilkan aplikasi e-commerce yang digunakan untuk memasarkan produk makanan ringan dari Kelompok Tani “Sumber Rejeki”dengan memanfatkan strategi sharing economy. Aplikasi yang telah berhasil dibuat dapat memperluas area pemasaran yang sebelumnya berskala lokal sehingga dapat meningkatkan penjualan produk-produk makanan ringan dari Kelompok Tani “Sumber Rejeki”.

KESESUAIAN MODEL HOT-FIT DALAM SISTEM INFORMASI ELEARNING UPN “VETERAN” YOGYAKARTA Rifki Indra Perwira
Seminar Nasional Informatika (SEMNASIF) Vol 1, No 2 (2016): Semnasif 2016
Publisher : Jurusan Teknik Informatika

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E-learning adalah sebuah pembelajaran pada semua tingkatan formal maupun noformal yang menggunakan jaringan komputer baik internet atau intranet untuk pengantaran bahan ajar, interaksi atau fasilitas. Dalam implementasinya, E-learning ini, terdapat tiga variabel yang terlibat yaitu manusia, organisasi dan teknologi yang ada di UPN Veteran Yogyakarta dalam kaitannya dengan evaluasi Sistem Informasi Elearning yang sudah berjalan. Jika faktor-faktor tersebut memiliki korelasi yang baik maka dapat menghasilkan kebergunaan sistem yang baik. Penelitian ini mengukur kesesuaian antara manusia (human), organisasi (organization) dan teknologi (technology) dan menggunakan analisa metode Pearson untuk menentukan ada tidaknya hubungan antara satu atau lebih variabel. Instrument yang digunakan adalah kuisioner dengan penilaian skala likert 6. Perangkat lunak pengolahan data menggunakan SPSS dengan pengujian korelasi bivariate, regresi linear, dan Uji T. Hasil dari penelitian ini adalah sebuah pengukuran dari variabel-variabel konstruk yang terlibat dalam hubungan HOT-fit sehingga kebergunaan sistem dapat diukur. Hasilnya menunjukkan bahwa hubungan antara variabel manusia, organisasi dan teknologi mempunyai hubungan yang cukup nyata walaupun implementasi elearning ini belum maksimal. Upaya keselarasan antara manusia, organisasi dan teknologi diperlukan untuk kesuksesan yang lebih baik.

Sensitivity Comparison of AHP with The Combination of AHP and SAW for Facial Wash Recommendation System based on Skin Type Novrido Charibaldi; Qurrotu'ain Hanifah; Rifki Indra Perwira
Telematika Vol 20, No 2 (2023): Edisi Juni 2023
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v20i2.9444

Purpose: This research aims to design a facial wash recommendation system based on all skin types, namely normal, dry, oily, combination, and sensitive. This is to tackle the limitation of previous systems that were developed based on limited skin types which are normal, dry, and oily using Promethee II, Fuzzy Logic, and SAW methods.Design/methodology/approach: This research uses the Analytic Hierarchy Process (AHP) method and a combination of AHP and Simple Additive Weighting (SAW) to consider the importance values of each criterion. Four criteria data are used, namely price, rating, content, and availability, along with 70 alternative data of facial wash products.Finding/Result: Sensitivity testing was conducted on both methods, and the combination of AHP and SAW produced a higher sensitivity percentage, which is 67.51%, whereas the AHP method provided a lower sensitivity percentage of 59.26%.Originality/state of the art: The combination of AHP and SAW is an innovation in designing a facial wash recommendation system, and the research results demonstrate that the combination of AHP and SAW is a superior method for recommending facial wash products.

Implementation of Mel Frequency Cepstral Coefficient and Dynamic Time Warping For Bird Sound Classification Prapcoyo, Hari; Adhita Putra, Bertha Pratama; Perwira, Rifki Indra
SENATIK STT Adisutjipto Vol 5 (2019): Peran Teknologi untuk Revitalisasi Bandara dan Transportasi Udara [ISBN 978-602-52742-
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/senatik.v5i0.326

Lovebird (Agapornis) is a type of bird that has become the belle of new pet birds lately. The interest of the hobbyist in this one song is because Lovebird has a unique chirp. For beginner lovebird fans, the lack of knowledge and experience about lovebird birds results in various cases of fraud in choosing a quality lovebird. They were disappointed expensive lovebirds that had been purchased but did not match what was expected.Lovebird chirping voice recognition can be learned and recognized through the learning process of speaker recognition, which is part of voice recognition. Speaker recognition captures the frequency of the lovebird's voice, then compares it with the sound frequency of the existing training data. The sound frequency and the long duration of chirping of lovebird birds will be extracted through the Mel-Frequency Cepstral Coefficient (MFCC) method. Information in the form of Mel Frequency Cepstrum Coefficients from input data and training data is then compared to the Dynamic Time Warping method. The methodology used in this study uses the grapple method.The results of this study were obtained an accuracy value of sound validation by 80%. It is hoped that with the capabilities of this system, it can help bird chirping lovers know the sound quality of lovebird birds that are good, moderate, and less. Also, it can help the jury of birds chirping, so that it can be used as an accurate standard in classifying lovebird sounds.

Domain-Specific Fine-Tuning of IndoBERT for Aspect-Based Sentiment Analysis in Indonesian Travel User-Generated Content Perwira, Rifki Indra; Permadi, Vynska Amalia; Purnamasari , Dian Indri; Agusdin , Riza Prapascatama
Journal of Information Systems Engineering and Business Intelligence Vol. 11 No. 1 (2025): February
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jisebi.11.1.30-40

Background: Aspect-based sentiment analysis (ABSA) is essential in extracting meaningful insights from user-generated content (UGC) in various domains. In tourism, UGC such as Google Reviews offers essential feedback, but the challenges associated with processing in Indonesian language, including the unique linguistic characteristics, pose difficulties for automatic sentiment, and aspect detection. Recent advancements in transformer-based models, such as BERT, have shown great potential in addressing these challenges by providing context-aware embeddings. Objective: This research aimed to fine-tune IndoBERT, a pre-trained Indonesian language model, to perform information extraction and key aspect detection from tourism-related UGC. The objective was to identify critical aspects of tourism reviews and classify their sentiments. Methods: A dataset of 20,000 Google Reviews, focusing on 20 tourism destinations in DI Yogyakarta and Jawa Tengah, was collected and preprocessed. Multiple fine-tuning experiments were conducted, using a layer-freezing method by adjusting only the top layers of IndoBERT, while freezing others to determine the optimal configuration. The model's performance was evaluated based on validation loss, precision, recall, and F1-score in aspect detection and overall sentiment classification accuracy. Results: The best-performing configuration involved freezing the last six layers and fine-tuning the top six layers of IndoBERT, yielding a validation loss of 0.324. The model achieved precision scores between 0.85 and 0.89 in aspect detection and an overall sentiment classification accuracy of 0.84. Error analysis revealed challenges in distinguishing neutral and negative sentiments and in handling reviews with multiple aspects or mixed sentiments. Conclusion: The fine-tuned IndoBERT model effectively extracted key tourism aspects and classified sentiments from Indonesian UGC. While the model performed well in detecting strong sentiments, improvements are needed to handle neutral and mixed sentiments better. Future work will explore sentiment intensity analysis and aspect segmentation methods to enhance the model's performance. Keywords: Aspect-Based Sentiment Analysis, Fine-tuning, IndoBERT, Sentiment Classification, Tourism Reviews, User-Generated Content

OPTIMALISASI DIGITAL MARKETING DI MASA PANDEMI DI KELURAHAN PANEMBAHAN, KRATON, DIY Nur Utomo, Hastho Joko; Pujiastuti, Eny Endah; Perwira, Rifki Indra; Rustamadji, Heru C.
Dharma: Jurnal Pengabdian Masyarakat Vol. 2 No. 1 (2021): Mei
Publisher : Universitas Pembangunan Nasional "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/dlppm.v2i1.4770

Since the covid pandemic entered the DIY area, residents of the community of RW 13, Panembahan Village have been affected. Public opinion decreased. The community service team from UPN veteran Yogyakarta is trying to help overcome this with community empowerment programs through digital business / digital marketing. Continuously and slowly the condition of the people's income can increase again. Promotion through social media is optimized through whatssapp groups, Instagram and market places.

PBM PENGEMBANGAN USAHA CATERING KELOMPOK RAHAYU PRIMA SUMBER RAHAYU MOYUDAN SLEMAN YOGYAKARTA Yudhiantoro, Danang; Nursanto, Edy; Perwira, Rifki Indra
Dharma: Jurnal Pengabdian Masyarakat Vol. 3 No. 1 (2022): Mei
Publisher : Universitas Pembangunan Nasional "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/dlppm.v3i1.7119

Catering Business Group The Rahayu Prima Sumber Rahayu Group is located in the hamlet of Goser, Sumber Rahayu, Moyudan Sleman Yogyakarta, and consists of women who are farmers who are engaged in the home catering business. The problem in the Catering Business Group of the Rahayu Prima Sumber Rahayu Group is developing a processed menu made from catfish and in developing its marketing area. This is due to the knowledge in food processing that comes from catfish, the less attractive packaging and the lack of marketing aspects. The purpose of this Pbm is to develop the Catering Business Group of the Rahayu Prima Sumber Rahayu Group which is economically independent in processing food menus made from catfish, as well as expanding the aspect of online marketing and improving people's welfare. The methods used to achieve these goals are in the form of interviews, training, and mentoring. PbM activities include: training and practice of processed products made from catfish, training and online marketing assistance and provision of packaging tools for processed food products made from catfish. The outputs of PbM activities are processed food products made from catfish, provision of marketing tools, website creation for online marketing of food products made from catfish, books on product processing and online marketing of food made from catfish, scientific publications in journals and proceedings as well as online news.

Effect of information gain on document classification using k-nearest neighbor Perwira, Rifki Indra; Yuwono, Bambang; Siswoyo, Risya Ines Putri; Liantoni, Febri; Himawan, Hidayatulah
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 8 No 1 (2022): January
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v8i1.2397

State universities have a library as a facility to support students’ education and science, which contains various books, journals, and final assignments. An intelligent system for classifying documents is needed to ease library visitors in higher education as a form of service to students. The documents that are in the library are generally the result of research. Various complaints related to the imbalance of data texts and categories based on irrelevant document titles and words that have the ambiguity of meaning when searching for documents are the main reasons for the need for a classification system. This research uses k-Nearest Neighbor (k-NN) to categorize documents based on study interests with information gain features selection to handle unbalanced data and cosine similarity to measure the distance between test and training data. Based on the results of tests conducted with 276 training data, the highest results using the information gain selection feature using 80% training data and 20% test data produce an accuracy of 87.5% with a parameter value of k=5. The highest accuracy results of 92.9% are achieved without information gain feature selection, with the proportion of training data of 90% and 10% test data and parameters k=5, 7, and 9. This paper concludes that without information gain feature selection, the system has better accuracy than using the feature selection because every word in the document title is considered to have an essential role in forming the classification.

Analysis Of Factors Affecting Interest Kai Access Application Users Using Models Unified Theory Of Acceptance And Use Of Technology 2 (UTAUT 2) Firmansyah, Rifki; Fauziah, Yuli; Perwira, Rifki Indra
Telematika Vol 20 No 2 (2023): Edisi Juni 2023
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v20i2.8482

Purpose: This study aims to analyze the factors that influence user interest in the KAI Access application using the Unified Theory Of Acceptance And Use Of Technology 2 (UTAUT 2) model.Methodology: This study used the Structural Equation Modeling (SEM) method with two tests, namely the outer model and the inner model with the help of the SmartPLS Version 3 software. A total of 406 respondent data were used from the Special Region of Yogyakarta and also users of the KAI Access application.Results: The results of the study show that of the fourteen hypotheses proposed in the study, only seven were accepted, namely social influence, facilitating conditions, hedonic motivation, price value, and habit. The strongest factors that have a significant effect are hedonic motivation and habit.State of the art: based on previous research, this study has quite similar characteristics but different cases, variables, and research samples.

Sensitivity Comparison of AHP with The Combination of AHP and SAW for Facial Wash Recommendation System based on Skin Type Charibaldi, Novrido; Hanifah, Qurrotu'ain; Perwira, Rifki Indra
Telematika Vol 20 No 2 (2023): Edisi Juni 2023
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v20i2.9444

Purpose: This research aims to design a facial wash recommendation system based on all skin types, namely normal, dry, oily, combination, and sensitive. This is to tackle the limitation of previous systems that were developed based on limited skin types which are normal, dry, and oily using Promethee II, Fuzzy Logic, and SAW methods.Design/methodology/approach: This research uses the Analytic Hierarchy Process (AHP) method and a combination of AHP and Simple Additive Weighting (SAW) to consider the importance values of each criterion. Four criteria data are used, namely price, rating, content, and availability, along with 70 alternative data of facial wash products.Finding/Result: Sensitivity testing was conducted on both methods, and the combination of AHP and SAW produced a higher sensitivity percentage, which is 67.51%, whereas the AHP method provided a lower sensitivity percentage of 59.26%.Originality/state of the art: The combination of AHP and SAW is an innovation in designing a facial wash recommendation system, and the research results demonstrate that the combination of AHP and SAW is a superior method for recommending facial wash products.

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