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Implementasi Free Open Source E-Commerce (Fose) Untuk Mendukung Pemasaran Digital Pada UMKM Jamur Tiram Haryono Setiadi; Ristu Saptono; Pringgo Widyo
Prosiding Konferensi Nasional Pengabdian Kepada Masyarakat dan Corporate Social Responsibility (PKM-CSR) Vol 2 (2019): Peran Perguruan Tinggi dan Dunia Usaha dalam Mempersiapkan Masyarakat Menghadapi Era I
Publisher : Asosiasi Sinergi Pengabdi dan Pemberdaya Indonesia (ASPPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (357.514 KB) | DOI: 10.37695/pkmcsr.v2i0.469

Abstract

Desa Tambak Boyolali adalah sentra usaha mikro kecil menengah (UMKM) jamur tiram. Produk yang dihasilkan UMKM tersebut adalah baglog, jamur tiram segar, keripik jamur tiram dan bio briket. Produk-produk yang dihasilkan di desa tersebut pada dasarnya telah memiliki kualitas yang baik, karena telah diproduksi sesuai dengan Petunjuk Operasional Standar (POS). Akan tetapi UMKM tersebut masih memerlukan dukungan untuk pemasarannya. Selama ini para pembudidaya tersebut cenderung memasarkan produknya kepada pengepul di sekitar Desa Tambak dengan harga yang kurang kompetitif. Hal ini berdampak UMKM di wilayah tersebut sulit berkembang. Diperlukan dukungan pengetahuan dan ketrampilan untuk mendukung sentra ini agar berkembang. Upaya dilakukan untuk mengatasi permasalahan tersebut dengan sosialisasi dan pelatihan kepada anggota UMKM tentang penjualan dengan memanfaatan media internet (facebook dan instragram). Disamping itu, para pembudidaya juga diberikan dukungan berupa pendampingan untuk melakukan pemasaran di toko online khusus UMKM seperti bukalapak.com dan tokopedia.com. Sentra UMKM juga didukung dengan pembuatan website khusus pemasaran produk sentra jamur tiram dengan software berbasis Free Open source E-Commerce (FOSE) yaitu software woocommerce yang bisa diakses pada laman http://tokojamur.com. Hasil dari kegiatan ini anggota UMKM jamur tiram memiliki pengetahuan dan ketrampilan untuk memasarkan produknya melalui media online (E-Commerce) yaitu Facebook, Instragram, bukalapak.com, tokopedia.com serta website pemasaran UMKM jamur tiram yang telah dibangun
Desimination of technology for increasing the security of community-based citizens of Gawanan village, Colomadu using i-siskamling Umi Salamah; Wiharto Wiharto; Ristu Saptono
Jurnal Pengabdian dan Pemberdayaan Masyarakat Indonesia Vol. 1 No. 10 (2021)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jppmi.v1i10.48

Abstract

The residents of Gawanan Village, RT 02 and 04 RW 12 Colomadu, Karanganyar have almost the same characteristics: most of the residents work during the day and they are migrants. It gives security problems during the day, especially in an empty house and a long holiday. The vast area and the number of access roads, as well as proximity to the center of the crowd such as malls, factories, and warehouses, cause very inefficient when using security services during the day. Therefore, i-Siskamling which IP Camera Outdoor using internet access can be one solution to overcome these security problems. IP cameras are installed in strategic places. As a result, nine CCTV cameras with two controls (NVR) were installed with monitors at the two Partner locations. The results are very encouraging as seen from the absence of reports of theft in the two regions and the monitoring of several disturbing events in the community. In addition, community support was very evident with providing the electricity for the camera and access points and two additional CCTV cameras and accessories for the system.
Signal Processing Of The One-Factor Mean-Reverting Model In Energy System Pramesti, Getut; Saptono, Ristu
Journal of the Indonesian Mathematical Society Vol. 31 No. 2 (2025): JUNE
Publisher : IndoMS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22342/jims.v31i2.1951

Abstract

One of the models that can be considered in the energy system is the one-factor mean-reverting process. We propose the one-factor mean-reverting model with sinusoidal signal processing involved. The frequency component of the model can be estimated with a high-frequency scheme. The estimation of the frequency component is believed to produce a precise estimate. This is because the high-frequency scheme has the potential to handle possible non-linear coefficient cases in a unified way, that is, $nh\to \infty$, and $nh^{2}\to 0$. This paper shows that the frequency component estimator in the one-factor mean-reverting model is strongly consistent with the rate convergence, namely $\sqrt{(nh)^3}$. It is also can be shown that the estimator has a normal approximation with a mean of 0 and variance $\frac{1}{6}(1+\theta^{2})$. We applied the proposed model to the energy systems data.
Peningkatan Kualitas Administrasi Pendidikan melalui Implementasi Sistem Edu Berbasis ERP di SMP IT Insan Mulia Surakarta, Jawa Tengah Widoyono, Bambang; Saptono, Ristu; Rohmadi, Arif; Syaifuddin, Akhmad; Hendra, Brilyan; Anggoro, Rizal Dwi; Ibrahim, Muhammad Syafiq
Jurnal Abdi Masyarakat Indonesia Vol 5 No 6 (2025): JAMSI - November 2025
Publisher : CV Firmos

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54082/jamsi.2130

Abstract

SMP Islam Insan Mulia Surakarta-Jawa Tengah, mengalami kendala administrasi akibat sistem manualnya, terutama dalam penerimaan siswa baru (PPDB), pencatatan pembayaran, dan pengelolaan bank soal. Kendala-kendala ini menyebabkan keterlambatan, kesalahan, dan inefisiensi, sehingga membatasi kualitas layanan. Untuk mengatasi hal ini, dalam program pengabdian masyarakat kami mengimplementasikan sistem EDU berbasis ERP sebagai solusi terintegrasi. Sistem ini menggunakan model waterfall untuk analisis, perancangan, implementasi, pelatihan, dan pengujian yang diterapkan selama tiga bulan. Tiga modul diimplementasikan: PPDB, pembayaran, dan bank soal, yang diuji coba kepada 23 peserta. Evaluasi menunjukkan hasil positif dengan efisiensi (4,08), efektivitas (4,08), dampak (4,38), kepuasan (4,28), dan kemudahan penggunaan (4,17) pada rentang skala 1-5. Program pengabdian ini tidak hanya menyelesaikan kendala administratif di SMP Islam Insan Mulia Surakarta, tetapi juga menghadirkan model implementasi sistem informasi berbasis ERP yang dapat direplikasi di sekolah lain. Digitalisasi administrasi melalui modul PPDB, pembayaran, dan bank soal terbukti meningkatkan efisiensi, transparansi, dan profesionalisme tata kelola pendidikan secara umum.
Design of BMT Al-HUDA UNS Savings Information System Mudhi Handayani, Eko; Saptono, Ristu; Respatiwulan, Respatiwulan
International Journal of Information Systems and Technology Vol. 1 No. 01 (2024): International Journal of Information System and Technology (IJOINT)
Publisher : oneamrd (One a Mllions Dreams Corporation)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to design a BMT Savings Information System (Baitul Maal wat Tamwil) at Al-HUDA, Sebelas Maret State University (UNS) Surakarta to improve the efficiency of member fund management. This system is designed to facilitate the process of deposits, withdrawals, transaction recording, and real-time web-based financial reporting. The system development method uses the Waterfall approach, starting from needs analysis, design, implementation, to testing. The results of the study show that this system is able to reduce manual errors, speed up the transaction process, and improve BMT financial accountability. With this system, it is expected to support the digitalization of sharia financial services in the campus environment and provide convenience for members in managing savings.
Information management of critical knowledge in an IT consulting company Widoyono, Bambang; Saptono, Ristu; Rohmadi, Arif; Wihidayat, Endar; Syaifuddin, Akhmad; Hendrasuryawan, Brilyan
Jurnal Kajian Informasi dan Perpustakaan Vol 14, No 1 (2026): Accredited by Ministry of Education, Culture, Research and Technology of the Re
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jkip.v14i1.67577

Abstract

Background: Knowledge Management (KM) plays a crucial role in supporting organizational sustainability, particularly in IT consulting firms where knowledge is predominantly tacit, experience-based, and vulnerable to loss. Many consulting organizations face difficulties identifying which knowledge is truly critical and how to manage it as reusable organizational information. Purpose: This study aimed to identify, prioritize, and manage critical knowledge aligned with organizational strategy at PT XYZ, an IT consulting company. Methods: Using a mixed qualitative–quantitative approach, this study followed six stages: contextual knowledge scoping, tacit knowledge elicitation, knowledge structuring, critical knowledge assessment using Critical Knowledge Factors (CKF), prioritization using Analytical Hierarchy Process (AHP), and repository design for knowledge preservation. Results: The study identified 24 structured knowledge areas, of which 20 were classified as critical. AHP analysis indicated that Gaining Commitment, Reading Opportunities, and Marketing Strategy were the highest priority knowledge assets, primarily embedded in sales and marketing activities. Conclusion: This study demonstrates how tacit knowledge can be transformed into structured organizational information aligned with strategic processes through an information management perspective. Theoretically, this study contributes to information science by conceptualizing critical knowledge as information objects organized through metadata, lifecycle governance, and repository preservation. Implications: In practice, these findings provide the IT consulting firm with a structured approach to safeguarding critical tacit knowledge, reducing reliance on individuals, and strengthening organizational memory. However, the study is limited to a single organizational context, relies on expert judgment, and presents a repository design that remains conceptual rather than technically implemented.
Sentence-Level Sentiment Analysis of Indonesian App Reviews Using IndoBERTweet Inge Najwa Aqiilah; Ristu Saptono; Akhmad Syaifuddin
Journal of Computing Theories and Applications Vol. 4 No. 1 (2026): JCTA 4(1) 2026
Publisher : Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/jcta.16240

Abstract

Document-level sentiment analysis assigns a single polarity label to an entire review, often obscuring opinion diversity within multi-sentence submissions. This limitation is particularly evident in reviews of multi-service platforms, where users frequently express heterogeneous opinions toward different aspects of the platform in the same review. To address this challenge, this study proposes a sentence-level sentiment analysis framework for Indonesian Gojek app reviews collected from the Google Play Store. The proposed framework introduces a two-stage segmentation strategy that combines punctuation-aware rules with conjunction-aware splitting based on coordinating and adversative conjunctions (e.g., tapi [but], padahal [even though]) to identify opinion boundaries and decompose mixed-sentiment reviews into independently classifiable sentence units. A total of 14,730 raw reviews collected between May and July 2025 were subjected to data cleaning and quality filtering, resulting in 7,187 valid reviews that were further segmented into 14,187 sentence-level instances. Each instance was manually annotated by three annotators using a four-class labeling scheme consisting of app-positive, app-negative, app-neutral, and service categories. Sentiment-level inter-annotator agreement, computed on the subset of instances unanimously categorized as app-related by all three annotators (n = 4,384), achieved substantial agreement (Fleiss'  = 0.636). Hyperparameter optimization was conducted using Optuna with the Tree-structured Parzen Estimator (TPE) sampler across four experimental scenarios. The best performance was achieved by IndoBERTweet under Stratified K-Fold evaluation, attaining an accuracy of 0.751 and a macro F1-score of 0.729, outperforming all IndoBERT configurations. The results demonstrate the effectiveness of domain-adaptive pre-training on informal Indonesian text and highlight the value of conjunction-aware segmentation for preserving fine-grained opinion structures in mixed-sentiment reviews. These findings suggest that domain-aligned language representations provide a practical and effective solution for sentence-level sentiment analysis of Indonesian app reviews.
Which Features Matter Most? Evaluating Numerical and Textual Features for Helpfulness Classification in Imbalance Dataset using XGBoost Anindita Putri Kirani; Ristu Saptono; Rini Anggrainingsih
Scientific Journal of Informatics Vol. 12 No. 4: Special Issue
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v12i4.33443

Abstract

Purpose: This study aims to develop and realistically evaluate a reliable model for identifying helpful online reviews, particularly in the context of Indonesian-language texts, which are often informal and challenging. Methods: This study addresses several key challenges in predicting review helpfulness: the relative effectiveness of numerical features from metadata compared with traditional text representations (TF-IDF, FastText) on noisy data; the impact of severe class imbalance; and the limitations of standard validation compared with time-based validation. To address these challenges, we built an XGBoost model and evaluated various feature combinations. A hybrid approach combining SMOTE and scale_pos_weight was applied to handle class imbalance, and the best configuration was further assessed using time-based validation to better simulate real-world conditions. Result: The results show that the model based on numerical features consistently outperformed the text-based model, achieving a peak macro F1-score of 0.7214. Compared to the IndoBERT baseline (F1-score = 0.6400) and the RCNN FastText baseline (F1-score = 0.5317), this indicates that simpler feature-driven models can provide more reliable predictions under noisy review data. Time-based validation further revealed a performance decline of up to 8.06%, confirming the presence of concept drift and highlighting that standard validation tends to yield overly optimistic estimates. Novelty: The main contribution of this research lies in offering a robust methodology while demonstrating the superiority of metadata-based approaches in this context. By quantifying performance degradation through temporal validation, this study provides a more realistic benchmark for real-world applications and highlights the critical importance of regular model retraining. 
Optimizing E-commerce Personalization through Hybrid Decision Tree–Nearest Neighbor Recommendation Integration Syaifuddin, Akhmad; Saptono, Ristu; Rohmadi, Arif; Widoyono, Bambang; Hendrasuryawan, Brilyan
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 2 (2026): JUTIF Volume 7, Number 2, April 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.2.5418

Abstract

Single-method recommendation systems face critical limitations: content-based filtering suffers from overspecialization while collaborative filtering struggles with data sparsity and cold-start problems. This research introduces an innovative hybrid recommendation framework that synthesizes Content-Based Filtering (CBF) utilizing Decision Trees with Collaborative Filtering (CF) employing Nearest Neighbor algorithms. Our approach addresses the inherent limitations of singular recommendation methodologies by integrating product attribute analysis with collective user behavior patterns. We conducted comprehensive evaluations using a shopping behavior dataset comprising 3,900 consumer records with diverse demographic and product interaction data. Our findings reveal that an asymmetric hybrid configuration—weighted at 70% for CBF and 30% for CF—achieves optimal performance with a Root Mean Square Error (RMSE) of 0.7422. The system incorporates an interactive user interface that facilitates a natural shopping experience: browsing available items, receiving personalized recommendations, and providing explicit feedback on suggested products. Through feature importance analysis, we identified key product attributes that significantly influence recommendation quality, including size variations and specific color preferences. The hybrid approach demonstrates 42% greater category diversity and 37% more recommendation diversity compared to pure content-based filtering, while maintaining superior accuracy metrics. Our research contributes to understanding optimal hybrid architectures and provides practical insights for implementing effective personalization strategies in real-world e-commerce environments.
Pengembangan Sistem Manajemen Donasi pada Griya PMI Surakarta untuk Meningkatkan Efektifitas Pemenuhan Kebutuhan Warga Griya Umi Salamah; Ristu Saptono; Wiharto Wiharto; Esti Suryani; Wisnu Widiarto; Shaifudin Zuhdi
SEMAR (Jurnal Ilmu Pengetahuan, Teknologi, dan Seni bagi Masyarakat) Vol 15, No 1 (2026): Mei
Publisher : LPPM UNS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/semar.v15i1.110962

Abstract

Griya PMI merupakan salah satu wujud kepedulian PMI Surakarta terhadap permasalahan sosial dalam masyarakat, khususnya terkait keberadaan orang-orang terlantar. Pemeliharaan orang-orang terlantar tersebut dipenuhi dengan donasi yang diberikan masyarakat. Agar pemberian donasi sesuai dengan kebutuhan suatu secara real time, diperlukan suatu sistem yang dapat memberikan informasi yang akurat terkait dengan prioritas kebutuhan saat ini. Sistem yang dibangun berbasis web dan mobile di Griya PMI Surakarta sebagai solusi terhadap permasalahan pengelolaan donasi yang selama ini dilakukan secara manual. Proses pengembangan dilakukan menggunakan metode Software Development Life Cycle (SDLC) model Waterfall, mencakup analisis kebutuhan, desain sistem, implementasi, pengujian, hingga pelatihan pengguna. Sistem ini memungkinkan pencatatan donasi secara real-time, pengelolaan stok barang, notifikasi kebutuhan prioritas, dan pelaporan transaksi. Dengan integrasi sistem web dan mobile, kegiatan ini berhasil meningkatkan efisiensi, transparansi, dan akurasi dalam pengelolaan donasi. Selain itu, dokumentasi teknis dan pelatihan bagi mitra telah disiapkan guna memastikan keberlanjutan sistem. Hasil dari kegiatan ini menunjukkan bahwa pemanfaatan teknologi informasi mampu memberikan dampak signifikan dalam mendukung operasional lembaga sosial. Diharapkan, sistem ini dapat terus dikembangkan lebih lanjut untuk menjawab kebutuhan strategis Griya PMI Surakarta di masa depan. Kata kunci: Donasi, Griya PMI, pengelolaan stok, SDLC Waterfall, sistem informasi