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PELATIHAN DAN PENDAMPINGAN PEMBUATAN KONTEN DIGITAL UNTUK PENINGKATAN PROMOSI PRODUK UMKM Wahyono, Teguh; Setyawan, Martin
E-Amal: Jurnal Pengabdian Kepada Masyarakat Vol 4 No 3: September-Desember 2024
Publisher : LP2M STP Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47492/eamal.v4i3.3649

Abstract

Usaha Mikro, Kecil, dan Menengah (UMKM) memiliki peran penting dalam perekonomian Indonesia. Walau demikian banyak yang masih menghadapi tantangan dalam promosi dan pemasaran produk secara digital. Di era digitalisasi saat ini, pemanfaatan media digital menjadi hal penting untuk peningkatkan daya saing produk UMKM. Kegiatan ini bertujuan untuk memberikan pelatihan dan pendampingan kepada pelaku UMKM dalam membuat konten digital yang efektif guna meningkatkan promosi produk. Melalui metode pelatihan yang melibatkan teori dan praktik, peserta diajarkan dasar-dasar pembuatan konten digital, termasuk fotografi produk, pengeditan gambar, penulisan caption, serta strategi pemasaran melalui media sosial. Pendampingan yang berkelanjutan juga dilakukan untuk memastikan keterampilan yang diajarkan dapat diimplementasikan dengan baik. Hasil kegiatan menunjukkan peningkatan pemahaman dan kemampuan pelaku UMKM dalam menghasilkan konten digital berkualitas, yang diharapkan dapat meningkatkan visibilitas produk serta memperluas jangkauan pemasaran
Forensic Investigation of Digital Evidence on Flash Disk with Forensic Process Method Based on NIST Febriand Gysberth Pariela Zamsari; Teguh Wahyono
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 11 No 1 (2024): Jurnal Ecotipe, April 2024
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v11i1.4489

Abstract

Flash disk is a tool that is inseparable from daily life. With flash disks, users can keep important data for personal or company. Apart from that, in lots of cases Indonesian law uses flash disks as evidence. ITE Law (Law Information and Transactions Electronics) regulates how the provision of digital evidence becomes strong evidence in court.​ This research investigates forensics to digital evidence on a flash disk with four scenario tests. Processing digital forensics uses a forensic process based on guide National Institute of Standards and Technology (NIST). This research produces an analysis where the evidence processed with scenarios 1 and 4 are valid digital evidence to be submitted to the court, while evidence 2 and 3 are invalid evidence.
Analisis Kelayakan Sistem Informasi Akademik Universitas Menggunakan PIECES dan TELOS Merryana Lestari; Endang Haryani; Teguh Wahyono
Jurnal Teknik Informatika dan Sistem Informasi Vol 7 No 2 (2021): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v7i2.3612

Abstract

In line with the development of Information Technology (IT), it is appropriate for an educational institution to utilize Information Systems (IS) as an infrastructure that supports the academic service process. One of the universities in Central Java that has implemented IS, namely the Academic Information System. The Academic IS has been operating for 17 years since 2004. Therefore, the academic SI should be evaluated to determine its eligibility as an application. This study is a comparative analysis that has employed approaches of TELOS (Technical, Economic, Legal, Operations, Schedule) and PIECES (Performance, Information, Efficiency, Control and Security, Economics , Service), based on the WebQual dimensions. The aim is to assess the feasibility study of Academic IS, applying three approaches according to the user's perspective.
Pendampingan Remaja dalam Alpha Camp Persekutuan Gereja-Gereja di Indonesia (PGI) Maslebu, Giner; Walangara Nau, Novriest Umbu; Sampoerno; Hermanto Abraham, Rendy; Wisnu Wibisono, Indra; Wahyono, Teguh; Dwi Purnomo, Hindriyanto; Kristianto, Budhi; Karema Sarajar, Dewita; Yuli Agung Suprabowo, Gunawan; C. Leuwol, Sylvie; Nahusona, Ferry; Picauly, Irma Amy
Magistrorum et Scholarium: Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2024)
Publisher : Universitas Kristen Satya Wacana Salatiga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/jms.v5i22024p119-129

Abstract

Remaja merupakan suatu pelayanan kategorial yang menyasar kelompok usia antara anak-anak (sekolah minggu) dan pemuda. Tekanan stereotip, ekspektasi tinggi tanpa dukungan memadai, dibarengi dengan perubahan masif akibat kemajuan teknologi dan informasi dapat memicu permasalahan kesehatan mental generasi muda jika tidak dikelola dengan bijak. Tantangan lain yang dihadapi adalah mengenai spiritualitas remaja. Persekutuan Gereja-gereja di Indonesia (PGI) melihat perlunya mengadakan kegiatan bagi remaja dan pendamping/pembina remaja sebagai platform untuk memperlengkapi para remaja dan pembina dengan berbagai pengetahuan dan kapasitas yang diharapkan mampu membekali remaja dan pembina dalam pelayanan dan kehidupan berbangsa sehari-hari. Pendampingan yang dilakukan oleh para ahli di UKSW meliputi isu-isu seputar perkembangan psikologis, pengembangan bakat-minat, kecerdasan buatan dan implementasi dalam pelayanan serta gerakan cinta lingkungan lewat aksi tanam pohon di desa. Hasilnya, para peserta mendapatkan pengalaman berharga yang tampak dalam hasil survey kepuasan dimana mayoritas responden puas terhadap pendampingan dan 100 % responden memperoleh tambahan pengetahuan.
BiLSTM OptiFlow: an enhanced LSTM model for cooperative financial health forecasting Maria, Evi; Wahyono, Teguh; Dwi Hartomo, Kristoko; Purwanto, Purwanto; Arthur, Christian
Bulletin of Electrical Engineering and Informatics Vol 14, No 3: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i3.8653

Abstract

This paper presents bidirectional long short-term memory (BiLSTM) OptiFlow, an optimized deep learning model designed to predict the financial health of cooperatives using key financial ratios: debt to equity ratio (DER), net profit margin (NPM), and return on equity (ROE). By leveraging a BiLSTM architecture combined with an optimal decayed learning rate, this model aims to enhance forecasting accuracy. The proposed model was tested against three established methods—recurrent neural network (RNN), long short-term memory (LSTM), and gated recurrent unit (GRU)—and evaluated using mean absolute error (MAE), mean absolute percentage error (MAPE), and mean squared error (MSE) metrics. Results indicate that BiLSTM OptiFlow outperforms the other models across all key indicators. This research offers a robust approach to cooperative financial forecasting, with significant implications for decision-making processes in cooperative management.
Analysis of the USM Lecturer PPKM application portal using COBIT 2019 Framework nuranto, bogo; Hartomo, Kristoko Dwi; wahyono, Teguh
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 13 No. 2 (2024): JULY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v13i2.2108

Abstract

The USM lecturer PPKM application portal information system provides services and information regarding the research and community service activities of USM lecturers. The services available in this application include PPKM proposals, PPKM assessments, PPKM evaluations, progress reports, contracts, assignment letters and presentation schedules. To improve the system services that have been used so far, analysis and evaluation are needed so that system performance can provide accurate information and according to needs. The purpose of this research is to analyze the performance of applications using the COBIT 2019 framework. The method used is a mix method, which combines data from interviews and observations and data from questionnaires. The research subjects consisted of 7 (seven) IT admins and 30 USM permanent lecturers. The COBIT 2019 framework used as the basis for analysis consists of 11 factors, namely:  Enterprise strategy; Enterprise goals; Risk Profile; IT Related Issue; IT Threat Landscape; Compliance Requirement; Role Of IT; IT Sourcing Model; IT Implementation Method; Technology Adaptation Strategy; and Enterprise Strategy. The results showed that there are 2 (two) objectives that need to go to the core model evaluation stage, namely BAI03 and BAI07. The results of the maturity analysis on BAI03 are at level 2, which is 67.1%. While the results of the maturity analysis on BAI07 show results of 72.7%.
TOPSIS Method Implementation for Employee Performance Information System David Bambang Tri Wijaya; Teguh Wahyono; Aprina Nugrahesthy Sulistya Hapsari
International Journal of Information Technology and Business Vol. 4 No. 2 (2022): April: International Journal of Information Technology and Business
Publisher : Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/ijiteb.422022.21-26

Abstract

Employee performance appraisal is one part of human resource activity, to maintain the quality and performance of its employees. Satya Wacana Christian University (SWCU) has also implemented the system, especially for its non-academic employees. The Employee Assessment Process in SWCU has been done by filling out a DP3 form manually, based on the evaluation from the supervisor. The manual assessment process takes a lot of time, because of how many employees need to be evaluated and the lack of objectivity in the assessment. Hence, this research is being done with a purpose to map out and implement a web-based performance assessment information system for the employees, which can then be used to assess those employees’ performance using a computerized system. This research is done to design an information system of performance assessment by applying Technique for Others Reference by Similarity to Ideal Solution (TOPSIS) method so that the assessment process can be done more objectively, quickly, and more importantly easily especially for the multi-criteria assessment process.
Model Analisis Sentimen Pengguna Aplikasi Belanja Online Menggunakan Metode Bidirectional Encoder Representations from Transformers (BERT) Prameswari, Fla Desya; Wahyono, Teguh
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.3035

Abstract

Dalam era digital saat ini, aplikasi belanja online telah menjadi bagian dari kehidupan sehari-hari. Ulasan dan komentar pengguna yang tersedia di platform Aplikasi Shopee menjadi sumber penting untuk memahami kepuasan pengguna. Analisis sentimen merupakan metode yang digunakan untuk memahami dan mengevaluasi opini yang diungkapkan dalam teks. Dalam penelitian ini menggunakan metode Bidirectional Encoder Representations from Transformers (BERT) untuk penerapan model analisis sentimen pada aplikasi Shopee yang merupakan sebuah platform e-commerce terpopuler di Indonesia. BERT adalah model NLP (Natural Language Processing) canggih yang menggunakan pendekatan bidireksional untuk memahami konteks kata dalam teks. Model ini dirancang untuk melakukan analisis teks dari dua arah, baik dari kiri ke kanan maupun sebaliknya, sehingga memungkinkan pemahaman menyeluruh terhadap teks yang dianalisis. Dengan menggunakan BERT, kami dapat menganalisis ulasan dan komentar pengguna dengan tingkat akurasi yang tinggi untuk mengevaluasi kepuasan pengguna. Penelitian ini melibatkan scraping data, cleaning data, labelling dan visualisasi data, splitting data, tokenisasi dan encoding data. Penelitian ini bertujuan untuk mengembangkan dan menerapkan model BERT dalam analisis sentimen pengguna aplikasi Shopee, serta meningkatkan kualitas layanan dan produk yang disediakan oleh aplikasi Shopee, sehingga dapat mempertahankan dan meningkatkan kepuasan pengguna. Hasil penelitian ini diharapkan dapat memberikan wawasan bagi pengembangan aplikasi Shopee dan perusahaan e-commerce lainnya mengenai pemanfaatan teknologi NLP untuk memahami dan meningkatkan pengalaman pengguna.
Optimalisasi Layanan Informasi Mahasiswa Melalui Chatbot di Fakultas Ekonomika dan Bisnis UKSW Prameswari, Reskatirini Yastika; Wahyono, Teguh
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 15, No 1 (2026): Februari 2026
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v15i1.3452

Abstract

The advancement of digital technology requires higher education institutions to provide academic information services that are fast, accurate, and easily accessible to students. The Faculty of Economics and Business at Satya Wacana Christian University (FEB UKSW) still faces limitations in providing responsive, always-available information services. This study aims to develop and evaluate a chatbot system as an efficient solution for academic information services. The research method employed is the Software Development Life Cycle (SDLC) using the Waterfall model, which consists of the stages of requirements analysis, system design, implementation, testing, and evaluation. The chatbot system was developed using Node.js for the backend and HTML, CSS, and JavaScript for the frontend. The dataset was constructed based on the following categories: academic services, financial information, promotion and cooperation, data and information center, and IT services. The testing results indicate that the chatbot achieves an average response time of 0.002 seconds and an accuracy rate of 95% for questions that are similar to those in the dataset. This study concludes that the developed chatbot effectively improves the speed and efficiency of academic information services, although further development is required to enhance its understanding of user queries.Kata kunci: Chatbot; Academic Information Services; Artificial Intelligence; Node.js; Natural Language Processing.AbstrakKemajuan teknologi digital menuntut perguruan tinggi untuk menyediakan layanan informasi akademik yang cepat, akurat, dan mudah diakses oleh mahasiswa. FEB UKSW masih menghadapi keterbatasan media layanan informasi yang responsif dan tersedia sepanjang waktu. Penelitian ini bertujuan untuk mengembangkan serta mengevaluasi sistem chatbot sebagai solusi layanan informasi akademik yang efisien. Metode penelitian yang digunakan adalah Software Development Life Cycle (SDLC) dengan model Waterfall, yang meliputi tahapan analisis kebutuhan, perancangan sistem, implementasi, pengujian, dan evaluasi. Sistem chatbot dikembangkan menggunakan Node.js sebagai backend serta HTML, CSS, dan JavaScript pada sisi frontend. Dataset disusun berdasarkan kategori layanan akademik, keuangan, promosi dan kerja sama, pusat data dan informasi, serta layanan IT. Hasil pengujian menunjukkan chatbot memiliki waktu respons rata-rata 0,002 detik dan tingkat akurasi sebesar 95% untuk pertanyaan yang memiliki kemiripan dengan dataset. Penelitian ini menyimpulkan bahwa chatbot efektif meningkatkan kecepatan dan efisiensi layanan informasi akademik, meskipun masih perlu pengembangan pada pemahaman pertanyaan. 
ANALISIS PENGARUH DIGITAL MARKETING UNTUK MENINGKATKAN USER ENGAGEMENT PADA UMKM TOKO ASRI DI KOTA MABA Rongasala, Almeisya; Wahyono, Teguh
JURNAL LENTERA BISNIS Vol. 15 No. 2 (2026): JURNAL LENTERA BISNIS, Mei 2026
Publisher : POLITEKNIK LP3I JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34127/jrlab.v15i2.2265

Abstract

This study aims to analyse the effect of digital marketing via TikTok on user engagement at the Toko Asri SME in Maba City. This study employs a quantitative approach using a survey method involving 97 respondents who are customers and TikTok users. The data were analysed using simple linear regression with the aid of SPSS. The results indicate that digital marketing has a positive and significant effect on user engagement, with a t-value of 13.228 and a significance level of <0.05. Furthermore, the coefficient of determination (R²) of 0.648 indicates that digital marketing accounts for 64.8% of the variation in user engagement. These results indicate that the use of TikTok as a digital marketing medium can increase user engagement with content presented by SMEs.
Co-Authors Aditya Christian Saputra Adriyanto Juliastomo Gundo Agus Sugiarto Agus Sugiarto Anthony Y.M. Tumimomor Aprina Nugrahesthy Sulistya Hapsari Ariya Dwika Cahyono Arthur, Christian Augustinus Ignatius Kristijanto Budhi Kristianto C. Leuwol, Sylvie Cahyo Dimas K Caroline, Marry Chandra Halim Daud Arifin David Bambang Tri Wijaya Dhimas Arinata Eka Putri, Jessica Eko Sediyono Elsie Naresvari Endang Haryani Erwien Christianto Evi Maria Faqi Rawni Arndarnijariah Febriand Gysberth Pariela Zamsari Firdaus Yuni Dharta Giner Maslebu Hanif Irfanto Adinugroho Hartati Soetjipto Hary Jocom Hermanto Abraham, Rendy Hindriyanto Dwi Purnomo Indrastanti Ratna Widiasari Intan Marcelia Supono Intiyas Utami Irwan Sembiring Jeferson Kameo Johan Jimmy Carter Tambotoh Kamal, Angelina Gabriella Karema Sarajar, Dewita Kireina Kameloeh Natalia Oryza Sativa Garang Kristoko Dwi Hartomo M. Chaerul Rizky Melissa Modok Merryana Lestari Nahusona, Ferry Nestiara Lidya Kakihary nuranto, bogo Nurul Jannah Picauly, Irma Amy Prameswari, Fla Desya Prameswari, Reskatirini Yastika Pratyaksa Ocsa Nugraha Saian Purwanto - Purwanto Purwanto Purwanto Riska Anggraini Rissal Effendi Rizaldi, Alexander Rongasala, Almeisya Rosana, Yuliana Sampoerno Septovan Dwi Suputra Saian Setiawati, Munazilla Setjoatmadja, Sylvia Setyawan, Martin Sharon Susilya Tahapary Sri Winarso Martyas Edi Subanar, Subanar Suharyadi Suprihati Suprihati Suprihati Susanto, Dannield Claixiuss Tad Gonsalves Theo Pradikta Theodora, Marry Violin, Vivid Walangara Nau, Novriest Umbu Widyaningtyas, Santika Wirabuana Putra, Gede Wisnu Wibisono, Indra Wiwin Sulistyo Yefta Andi Kus Noegroho Yuli Agung Suprabowo, Gunawan Yuliawati