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All Journal JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Hilirisasi IPTEKS (JHI) Community Engagement and Emergence Journal (CEEJ) JURSIMA (Jurnal Sistem Informasi dan Manajemen) JISA (Jurnal Informatika dan Sains) AMAR (Andalas Management Review) INVEST : Jurnal Inovasi Bisnis dan Akuntansi Ekasakti Jurnal Penelitian dan Pengabdian (EJPP) JEBI (Jurnal Ekonomi dan Bisnis Islam) JURSIMA Jurnal Pengabdian kepada Masyarakat Dewantara Jurnal Sistem Informasi dan Manajemen Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Aksi Nyata : Jurnal Pengabdian Sosial dan Kemanusiaan
Sapta Eka Putra
Tamansiswa University, Padang
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences Veterinary Other

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The Effect of Product Development and Product Quality Control on Sales Volume of Yakult Products in Indarung District, Padang City Putra, Sapta Eka; Rahmawati, Widya; Savira, Anggun
INVEST : Jurnal Inovasi Bisnis dan Akuntansi Vol. 3 No. 2 (2022): INVEST : Jurnal Inovasi Bisnis dan Akuntansi
Publisher : Lembaga Riset dan Inovasi Al-Matani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55583/invest.v5i1.980

Abstract

This study aims to determine and analyze how much influence product development and product quality control have on sales volume at PT Yakult in Indarung District, Padang City. Descriptive quantitative research method with a sample of 100 respondents using purposive sampling technique. The instruments used in the study were questionnaires and data analysis techniques using multiple linear regression, t test, F test and coefficient of determination. Based on multiple linear analysis obtained Y = 12.785 + 0.319 + 0.192 X2 + e. Based on the t test analysis, it is found that product development (X1) has a positive and significant effect on the sales volume of yakult products in Indarung District, Padang City, then product quality control (X2) has a positive and significant effect on the sales volume of these products. The results of the F test prove that, product development and product quality control together have a positive and significant effect on consumer sales volume on yakult products in Indarung District, Padang City. The coefficient of determination test results get an Adjusted R-Square value of 60.6% and the remaining 39.4% which is explained by other variables such as price, marketing strategy, distribution, service.
Market Testing dan Positioning Produk Inovasi Albar, Berri Brilliant; Larasati, Mayang; Putra, Sapta Eka
AMAR (Andalas Management Review) Vol. 4 No. 2 (2020)
Publisher : Management Institute Faculty of Economics Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/amar.4.2.73-88.2020

Abstract

The product innovation enters the next stage in the product development process series towards commercialization. As a product during its development period, it is necessary to carry out market research to determine consumer preferences and perceptions, to become the basis for business analysis and improvement. This activity is carried out through deep interviews with inventors, product / sample tests and simulations, surveys and observations on the market and its segmentation. Market research techniques are used by searching, gathering, and analyzing information about consumers or markets that are appropriate for the business they run. In addition to product quality through understanding the needs and tastes of consumers, another thing that also builds consumer ratings of products is perception. Positioning is the initial analysis to build perception in the minds of consumers. This activity aims to obtain market research documents to determine consumer perceptions about innovation products after consuming the product so that it can be used as a reference for product improvement before commercialization. This activity also aims to help to analyze positioning and design marketing strategies for the next stage. Understanding consumer needs and creating products that are able to meet the needs and solve consumer problems are the keys to successful product commercialization. This activity carried out market research on 7 Andalas University innovation products on food and beverage category with 100 respondents for each of their products spread across the West Sumatra region. This activity produces product market research documents that can be used by each inventor and developer of each product to develop and commercialize their products.
Implementation of Natural Language Processing for Bullying Complaints with Voice to Text Conversion Miftahul Ilmi; Miftahul Ilmi; Dasril Aldo; Sapta Eka Putra; Adanti Wido Paramadini; Yohani Setiya Rafika Nur
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 11 No 2 (2024): Jurnal Ecotipe, October 2024
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v11i2.4506

Abstract

Bullying in high school is frequent and negatively affects students' psychological well-being. The lack of effective reporting mechanisms makes students hesitant to report bullying cases for fear of their identity being exposed, which can lead to stigma or retaliation. The lack of data on bullying incidents also hampers prevention and intervention measures. The study designed and implemented a mobile application that uses natural language processing (NLP) for speech-to-text conversion, enabling anonymous and convenient reporting of bullying cases. The app ensures the anonymity of whistleblowers and facilitates the collection of accurate data on bullying incidents, helping schools respond with appropriate preventive measures. Software engineering methodologies are used with a focus on requirements analysis, system design, implementation, and application testing. NLP technology is used to interpret verbal instructions into text, with the Support Vector Machine (SVM) method for text classification, ensuring high accuracy in detecting bullying incidents. The trial application in several high schools showed the relevance and effectiveness of the application. Ethical and security considerations are top priorities, with an emphasis on whistleblower identity protection and data security. The test results showed that the application achieved 92% accuracy, 90% precision, and 88% recall, demonstrating its effectiveness in collecting bullying reports anonymously and accurately.
Implementation of Natural Language Processing in the Reporting and Handling System of Sexual Violence Cases on Campus Ilwan Syafrinal; Sapta Eka Putra; Mahazam Afrad
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 11 No 2 (2024): Jurnal Ecotipe, October 2024
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v11i2.4511

Abstract

Sexual violence in the campus environment is a serious problem that requires an effective reporting and handling system. This research aims to develop a Natural Language Processing (NLP)-based system that can improve the process of reporting and handling cases of sexual violence on campus. The methodology used includes the application of NLP techniques such as sentiment analysis and entity recognition to automate the identification and handling of reports. The Support Vector Machines (SVM) algorithm is used for the classification of text in this system. The data is collected from various sources, pre-processed, and used to train NLP models. The results of the study show that the system developed has an accuracy level of 91%, precision of 93%, and recall of 87%, which illustrates its effectiveness in collecting reports of sexual violence anonymously and accurately. Feedback from early adopters shows that the system improves the efficiency and accuracy of the reporting process. The conclusion of this study is that the implementation of NLP can significantly improve the reporting and handling system of sexual violence on campus. Further research is suggested to expand the scope of the system and improve its analysis capabilities.
Application of K-Nearest Neighbor Algorithm for Consumer Behaviour Identification and Product Personalisation Based on Big Data Analysis Miftahul Ilmi; Sapta Eka Putra; Miftahul Ilmi
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 11 No 2 (2024): Jurnal Ecotipe, October 2024
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v11i2.4514

Abstract

The rapid digital transformation has fundamentally altered the retail industry, presenting challenges such as shifting consumer behavior and intensified market competition. This research explores the application of the K-Nearest Neighbor (KNN) algorithm for identifying consumer behavior and developing product personalization systems based on big data insights. Utilizing a dataset comprising 10,000 transaction records from January to December 2023 and 5,302 product types, we implemented the KNN algorithm to predict consumer purchases. The data was processed into 89,908 distinct transaction records. Our evaluation, using 5-fold cross-validation, demonstrated that the optimal performance of the KNN model was achieved with ????=10, yielding a precision of 0.8319, recall of 0.8311, and an F1-score of 0.8312. These findings highlight the effectiveness of KNN in enhancing consumer satisfaction through precise product recommendations. This study provides strategic insights for modern retailers aiming to leverage AI and big data to remain competitive and meet evolving consumer expectations.
Sistem Pakar Penyakit Ikan Bawal Bintang Dengan Metode Case Based Reasoning Putra, Sapta Eka; Munir, Zainul; Masriadi, Masriadi
JURSIMA Vol 9 No 2 (2021): Jursima Vol. 9 No. 2, Agustus Tahun 2021
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v9i2.267

Abstract

Pada umumnya para nelayan di Batam telah beralih dari menangkap ikan dengan kapal pukat menjadi nelayan yang menggunakan keramba jaring untuk membudidayakan Ikan Bawal Bintang.Keramba adalah nama kolam ikan yang terbuat dari jaring untuk menampung ikan hasil budidaya, masalah yang sering terjadi pada Ikan Bawal Bintang. kasus penyakit yang disebabkan oleh berbagai sebab. Dan masih banyak ketidaktahuan nelayan akan jenis penyakit yang menyerang Ikan Bawal Bintang tersebut yang mengakibatkan nelayan tidak mengetahui cara pengobatan dan pencegahan terhadap penyakit tersebut. Karena permasalahan tersebut maka penggunaan metode case-based reasoning (CBR) memberikan solusi berupa sistem pakar, dimana metode tersebut menggunakan kemiripan dari setiap penyakit ikan yang akan diteliti. Tujuan akhir dari penelitian ini yaitu nilai persentase kesamaan serta saran berupa saran dan solusi yang akan dilaksanakan oleh para nelayan. Kata Kunci : Sistem Pakar, Case Base Reasoning, Penyakit Ikan Bawal Bintang, Nelayan.
STRATEGI EFEKTIF PENGELOLAAN DATA SKRIPSI/TUGAS AKHIR DENGAN BANTUAN DATABASE PRIBADI (STUDI KASUS: PEMANFAATAN APLIKASI MENDELEY SEBAGAI DATABASE) Putra, Sapta Eka; Rahmawati. Z, Yulia; Leovita, Angelia; Fauzi, Dian; Febriani, Febriani; Amallia, Chairun
Jurnal Pengabdian kepada Masyarakat DEWANTARA Vol 8 No 1 (2025): Jurnal Pengabdian kepada Masyarakat DEWANTARA
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat Universitas Tamansiswa Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31317/jpmd.v8i1.1166

Abstract

Kegiatan Pengabdian kepada Masyarakat ini bertujuan untuk membekali mahasiswa tingkat akhir strategi efektif pengelolaan data skripsi/tugas akhir melalui pemanfaatan konsep database pribadi sederhana. Penulisan skripsi atau tugas akhir seringkali menjadi tantangan, terutama dalam hal pengelolaan volume data, referensi, dan catatan penelitian yang kompleks. Tanpa sistem yang terstruktur, mahasiswa rentan mengalami kesulitan dalam melacak informasi, melakukan sitasi yang benar, dan menghindari plagiarisme. Program ini fokus pada penerapan aplikasi Mendeley sebagai studi kasus, sebuah tool manajemen referensi yang berfungsi layaknya database pribadi untuk literatur ilmiah. Melalui pendekatan praktis, peserta akan diajarkan teknik pengumpulan dan penataan data yang sistematis, cara mengimpor dan mengelola referensi secara efisien, serta memanfaatkan fitur sitasi dan pembuatan daftar pustaka otomatis yang disediakan oleh Mendeley. Diharapkan, dengan penguasaan keterampilan ini, mahasiswa dapat meningkatkan efisiensi dan kualitas proses penulisan skripsi/tugas akhir mereka, sehingga menghasilkan karya ilmiah yang lebih terstruktur, akurat, dan berintegritas
Mendeley: Perpustakaan Digital Pribadi untuk Literatur Ilmiah dan Sahabat Terbaik Peneliti di Era Digital Angelia Leovita; Yulia Rahmawati Z; Febriani Febriani; Sapta Eka Putra; Dian Fauzi
Aksi Nyata : Jurnal Pengabdian Sosial dan Kemanusiaan Vol. 3 No. 1 (2026): Januari : Aksi Nyata : Jurnal Pengabdian Sosial dan Kemanusiaan
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/aksinyata.v3i1.2687

Abstract

The development of information and communication technology in the digital era has increased access to and productivity of scholarly publications, while also creating challenges in managing academic literature and references. Final-year students, particularly those from non–Information Technology programs, often experience difficulties in organizing references systematically, maintaining citation consistency, and avoiding unintentional plagiarism. This article aims to describe the implementation and outcomes of a community service program that provided training on the use of Mendeley as a personal digital library for managing scholarly literature. The program was conducted over two days using a participatory and hands-on approach involving students from Universitas Tamansiswa in Padang. The training methods included conceptual lectures, live demonstrations, and practical sessions covering Mendeley installation, reference management, automatic citation, and bibliography generation. The results indicate improvements in participants’ understanding and skills in reference management, as well as increased awareness of academic integrity. Overall, the training proved effective in enhancing efficiency and writing quality in the preparation of theses or final projects.
PELATIHAN TEKNIK PENGUSULAN JABATAN FUNGSIONAL DOSEN DENGAN APLIKASI PAK ONLINE PADA UNIVERSITAS TAMANSISWA PADANG Febriani Febriani; Sapta Eka Putra
Ekasakti Jurnal Penelitian dan Pengabdian Vol. 2 No. 2 (2022): Ekasakti Jurnal Penelitian dan Pengabdian
Publisher : LPPM Universitas Ekasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31933/ejpp.v2i2.626

Abstract

Penilaian Angka Kredit (PAK) dosen merupakan bentuk evaluasi terhadap kinerja dosen dalam pelaksanakan tridharma perguruan tinggi. Setiap kegiatan yang dilakukan oleh dosen dalam pelaksanaan tridharma perguruan tinggi memiliki nilai angka kredit (kum) bagi dosen sehingga dalam perhitungan keseluruhan nilai yang dikumpulkan oleh dosen dapat diajukan untuk kenaikan pangkat/jabatan akademik dosen yang merupakan jabatan keahlian seorang dosen. Sistem dan mekanisme pengusulan kenaikan pangkat/jabatan dosen dilakukan secara online bagi dosen-dosen Universitas Tamansiswa (Unitas) Padang yang berada dilingkungan LLDIKTI Wilayah X. Untuk memastikan dosen-dosen Unitas dapat mengoperasikan sistem PAK Online dan pegusulan kenaikan pangkat/jabatan dosen terutama bagi dosen-dosen baru yang berasal dari prodi-prodi baru dilingkungan Unitas Padang dapat berjalan dengan baik, maka dilaksanakanlah kegiatan pelatihan Pengusulan jabatan fungsional melalui aplikasi Penilaian Angka Kredit (PAK) Online. Dari hasil evaluasi yang dilakukan pada kegiatan pelatihan dimaksud, teridentifikasi adanya perkembangan yang positif dan signifikan dari peserta terkait dengan pengetahuan dan keterampilan dalam menggunakan aplikasi PAK online ini sehingga dosen-dosen tersebut rata-rata sudah mengusulkan jabatan fungsional dan saat ini tidak ada lagi dosen Universitas Tamansiswa Padang yang tidak memiliki jabatan fungsional.
Co-Authors Adanti Wido Paramadini Amallia, Chairun Angelia Leovita Army, Widya Lelisa Berri Briliant Albar Dasril Aldo Dedi Rahman Habibie Dian Fauzi Dian Fauzi, Dian Febriani Febriani Febriani Febriani Febriani Ilwan Syafrinal Ilwan Syafrinal Indah Maya Sari Larasati, Mayang Lenny Hasan Mahazam Afrad Masriadi, Masriadi Mayang Larasati Mayang Larasati Miftahul Ilmi munir, Zainul Munir Putri, Yuliarni Rahmat Rahmat RR. Ella Evrita Hestiandari Savira, Anggun Sherly Yulinda Trio Candra Yo Utami, Annisaa Wanda Ilham Widya Rahmawati Widya Rahmawati Yohani Setiya Rafika Nur Yuliarni Putri Yuni Candra Z, Yulia Rahmawati