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All Journal Journal of the Indonesian Mathematical Society Scientific Journal of Informatics Jurnal Kajian Informasi & Perpustakaan Jurnal Teknik Informatika (JUTIF) Jurnal Abdi Masyarakat Indonesia International Journal of Information Systems and Technology (IJOINT)
Ristu Saptono
Sebelas Maret University
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Library & Information Science Mathematics Public Health

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Implementasi Vector Space Model dalam Pembangkitan Frequently Asked Questions Otomatis dan Solusi yang Relevan untuk Keluhan Pelanggan Aziz, Abdul; Saptono, Ristu; Suryajaya, Kartika Permatasari
Scientific Journal of Informatics Vol 2, No 2 (2015): November 2015
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v2i2.5076

Abstract

Salah satu keunggulan dari sebuah lembaga/unit pelayanan adalah seberapa cepat dan akurat dalam menangani keluhan pelanggan. Keluhan yang disampaikan pelanggan umumnya memiliki kesamaan dengan keluhan-keluhan sebelumnya, sehingga solusi dari keluhan baru dapat didasarkan pada solusi yang diberikan pada keluhan lama. Vector Space Model (VSM) merupakan salah satu model yang digunakan untuk mengetahui kemiripan dokumen, yang digunakan dalam membangkitkan FAQ otomatis. Pembobotan term dilakukan dengan teknik Term Frequency-Inverse Document Frequency (TF-IDF). Kombinasi notasi TF-IDF yang dibandingkan adalah TF-IDF itu sendiri, modifikasi logaritmik TF dan modifikasi logaritmik IDF. Similarity measure yang digunakan adalah cosine similarity. Hasil dari penelitian ini adalah algoritma VSM dengan pembobotan TF-IDF dapat digunakan untuk membangkitkan FAQ otomatis dan solusi yang relevan. Berdasarkan hasil perhitungan accuracy pada masing- masing percobaan dapat disimpulkan bahwa pada threshold 0.5, kombinasi notasi TF-IDF yang memiliki nilai rata-rata accuracy dan precision tertinggi adalah modifikasi pertama, yaitu masing-masing sebesar 62.09% dan 55.15%. Sedangkan untuk threshold 0.65 yang memiliki nilai rata-rata accuracy dan precision tertinggi adalah TF-IDF, yaitu masing-masing sebesar 83.18% dan 68.35%. Selain itu percobaan dengan menggunakan 171 data, TF-IDF dan threshold 0.65 dapat membangkitkan 27 FAQ, yaitu dengan persentase 70.37% relevan. 
Peningkatan Akurasi Estimasi Ukuran Perangkat Lunak dengan Menerapkan Logika Samar Metode Mamdani Saptono, Ristu; Hutama, Galih Dian
Scientific Journal of Informatics Vol 2, No 1 (2015): May 2015
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v2i1.4527

Abstract

Salah satu kunci sukses dari pengembangan perangkat lunak adalah perencanaan. Untuk membuat perencanaan yang baik diperlukan estimasi ukuran perangkat lunak yang akan dibangun. Ukuran perangkat lunak biasanya disajikan dalam bentuk Lines of Code (LOC). Metode Function Point Analysis (FPA) merupakan metode yang paling sering digunakan untuk memperkirakan ukuran perangkat lunak dalam satuan LOC. Akurasi dari FPA bisa ditingkatkan dengan cara penyesuaian nilai bobot pada tabel Function Point Complexity. Metode yang digunakan untuk penyesuaian nilai bobot adalah metode logika samar Mamdani. Evaluasi dilakukan dengan cara membandingkan galat relatif antara hasil pengukuran FPA murni, FPA modifikasi Mamdani model 1, FPA modifikasi Mamdani model 2 serta nilai tengah antara model 1 dan model 2, dengan nilai LOC sebenarnya dari perangkat lunak. Model 1 dan model 2 dibedakan oleh nilai himpunan fuzzy pada proses fuzzifikasi. Sebanyak 13 perangkat lunak digunakan untuk pengujian. Hasilnya estimasi menggunakan FPA nilai tengah memberikan hasil terbaik dengan galat terkecil yaitu 1,6% dibandingkan FPA modifikasi Mamdani model 1 (2%), FPA model 2 (3,2%) dan FPA Murni (3,4%). Perbedaan galat relatif tersebut mempunyai tingkat kepercayaan secara statistika sebesar 76%.
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.
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.
Co-Authors Abdul Aziz Afrizal Doewes, Afrizal Anggoro, Rizal Dwi Arif Rohmadi Arissa Aprilia Nurcahyani, Arissa Aprilia Balgis Balgis Galih Dian Hutama, Galih Dian Getut Pramesti Hendra, Brilyan Hendrasuryawan, Brilyan Ibrahim, Muhammad Syafiq Kartika Permatasari Suryajaya, Kartika Permatasari M Rizky Wijaya, M Rizky Mantrini I. Hapsari Mudhi Handayani, Eko Putu Suriyasa Respatiwulan, Respatiwulan Syaifuddin, Akhmad Widoyono, Bambang Wihidayat, Endar