Garuda - Garba Rujukan Digital

Risk Management Domain Application Plan Electronic Based Governance System (SPBE) Case Study: Tangerang Government Communications and Informatics Service Bayu Sulistiyanto Ipung Sutejo; Agung Mulyo Widodo; Gerry Firmansyah; Budi Tjahjono
Jurnal Indonesia Sosial Sains Vol. 4 No. 09 (2023): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v4i09.878

Various applications of SPBE have been produced by the Central and Regional Authorities and have contributed to the efficiency and effectiveness of government maintenance. Nevertheless, the results of the SPBE development show a relatively low maturity rate and a high gap between the Central Authority and the Regional Government. Based on the results of the 2018 SPBE evaluation of 616 Central and Regional Government Instances, the National SPBE Index reached a value of 1.98 with a sufficient predicate of the target SPBE index of 2.6 out of 5 levels with a good prediction. Reviewed from the access of Central and Regional Authorities, the average Central Authorities SPBE index was 2.6 with a good predicate, while the average Regional Government SPBE Index was 1.87 with a sufficient Predicate. Reviewed from the target access spread, 13.3% of Central and Regional Authorities have reached or exceeded the target SPBE 2.6 index, while 86.7% have not yet reached the SPBE 2.0 index target. This shows that there are problems in the development of the SPBE nationally. On the other hand, the development of ICT 4.0 trends is a key external factor that can drive the realization of integrated SPBE implementation and improved quality of SPBE services that make it easier for users in accessing government services. The vision is a benchmark in implementing the integrated implementation of SPBE in the Central and Regional Authorities to produce integrative, dynamic, transparent, and innovative government bureaucracy, as well as improving the quality of integrated, effective, responsive, and adaptive public services.

Risk Management Domain Application Plan Electronic Based Governance System (SPBE) Case Study: Tangerang Government Communications and Informatics Service Ipung Sutejo, Bayu Sulistiyanto; Widodo, Agung Mulyo; Firmansyah, Gerry; Tjahjono, Budi
Jurnal Indonesia Sosial Sains Vol. 4 No. 09 (2023): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v4i09.878

Various applications of SPBE have been produced by the Central and Regional Authorities and have contributed to the efficiency and effectiveness of government maintenance. Nevertheless, the results of the SPBE development show a relatively low maturity rate and a high gap between the Central Authority and the Regional Government. Based on the results of the 2018 SPBE evaluation of 616 Central and Regional Government Instances, the National SPBE Index reached a value of 1.98 with a sufficient predicate of the target SPBE index of 2.6 out of 5 levels with a good prediction. Reviewed from the access of Central and Regional Authorities, the average Central Authorities SPBE index was 2.6 with a good predicate, while the average Regional Government SPBE Index was 1.87 with a sufficient Predicate. Reviewed from the target access spread, 13.3% of Central and Regional Authorities have reached or exceeded the target SPBE 2.6 index, while 86.7% have not yet reached the SPBE 2.0 index target. This shows that there are problems in the development of the SPBE nationally. On the other hand, the development of ICT 4.0 trends is a key external factor that can drive the realization of integrated SPBE implementation and improved quality of SPBE services that make it easier for users in accessing government services. The vision is a benchmark in implementing the integrated implementation of SPBE in the Central and Regional Authorities to produce integrative, dynamic, transparent, and innovative government bureaucracy, as well as improving the quality of integrated, effective, responsive, and adaptive public services.

Pemodelan Pengaruh Risiko dengan Pendekatan Centrality dan Graph-based Learning Approach pada Transformasi Digital Kesehatan Sutejo, Bayu Sulistiyanto Ipung; Aryani, Diah; Asianto, Andriyanti
JUKI : Jurnal Komputer dan Informatika Vol. 7 No. 2 (2025): JUKI : Jurnal Komputer dan Informatika, Edisi Nopember 2025
Publisher : Yayasan Kita Menulis

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

Penelitian ini bertujuan untuk memodelkan pengaruh risiko dalam transformasi digital kesehatan menggunakan pendekatan analisis jaringan (network analysis) dan Graph-based Learning Approach. Dataset yang digunakan terdiri dari tujuh kategori risiko utama: keamanan siber, kegagalan sistem, ketergantungan vendor, resistensi SDM, kepatuhan regulasi, integrasi sistem, dan kualitas data. Setiap kategori memiliki tingkat risiko dan strategi mitigasi yang berbeda. Untuk menentukan tingkat pengaruh sistemik setiap risiko dalam ekosistem digital kesehatan, konstruksi network graph digunakan untuk menganalisis hubungan antar risiko. Untuk melakukan ini, metrik Degree Centrality, Betweenness Centrality, dan PageRank digunakan. Hasil analisis menunjukkan bahwa Keamanan Siber, Privasi Data, dan Kepatuhan Regulasi memiliki nilai tertinggi dan PageRank tertinggi, menunjukkan betapa pentingnya hal itu untuk kestabilan sistem. Selain itu, pemetaan strategi mitigasi berbasis data memungkinkan untuk memprioritaskan tindakan pencegahan yang lebih efektif, seperti penerapan firewall, rencana pemulihan bencana, dan audit kepatuhan UU PDP. Secara keseluruhan, model ini menawarkan pendekatan komprehensif dan berbasis data untuk mengelola risiko transformasi digital kesehatan, yang mendukung pengambilan keputusan yang lebih terukur dan cerdas di era kesehatan berbasis teknologi.

Penguatan Kompetensi Digital Guru PKBM Maleo melalui Pelatihan Pemanfaatan Aplikasi Artificial Intelligence untuk Persiapan Pembelajaran Aryani, Diah; Asri, Jefry Sunupurwa; Asianto, Andriyanti; Akbar, Habibullah; Sutejo, Bayu Sulistiyanto Ipung; Suharti, Dwi Sloria
Abdimas Universal Vol. 8 No. 1 (2026): April
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Balikpapan (LPPM UNIBA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36277/abdimasuniversal.v8i1.2832

The development of Artificial Intelligence (AI) technology has opened up new opportunities to improve the efficiency of the learning process, particularly in terms of how teachers can prepare teaching materials more innovatively and efficiently. However, the use of AI technology in education still faces several challenges, primarily due to teachers' limited digital literacy. The purpose of this Community Service (PKM) activity is to help PKBM Maleo teachers improve their digital competency by teaching them how to use AI applications, specifically ChatGPT, when preparing lessons. In this activity, Participatory Action Research (PAR) is the approach method used in this activity. PAR supports active partner participation in every step of the process, such as problem identification, program planning, training implementation, evaluation, and reflection. The training activity was held in January 2026 with 14 teachers participating, with the results of the activity evaluation carried out using pre-test and post-test methods to measure the level of participants' understanding of the material provided. The pre-test results showed a significant increase in participant understanding, with an average score of 97.14, while the post-test results showed an increase to 85.7% to 100%. The results of this PKM activity demonstrate that AI training with ChatGPT can help teachers improve their digital literacy skills and better prepare learning materials. It is hoped that this activity will encourage the wise and productive use of artificial intelligence technology in learning in non-formal schools.

Prediksi Harga Komoditas Hortikultura Pangan Strategis Menggunakan Random Forest dengan Analisis SHAP Valencia Patrice Gracia Pangaribuan; Bayu Sulistiyanto Ipung Sutejo; Gerry Firmansyah; Arief Ichwani
Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Vol. 7 No. 03 (2026): Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Publisher : Program Studi Teknik Informatika, FTIK, Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jrami.v7i03.1804

Price fluctuations in strategic horticultural food commodities can affect food and economic stability. This study aims to predict the prices of shallots, garlic, red chilies, and bird’s eye chilies in Central Java Province using Random Forest Regression based on historical prices and climate variables, and to interpret climate variable contributions using Shapley Additive Explanations (SHAP). Price data were obtained from the National Strategic Food Price Information Center (PIHPS), while climate data were collected from four BMKG stations during 2018–2025. The model used 16 features, including historical prices, average temperature (TAVG), average humidity (RH_AVG), rainfall (RR), rolling features, and calendar variables. Evaluation was conducted using MAE, RMSE, and MAPE at H+1, H+7, and H+30 forecasting horizons. The results show that the best performance was achieved for garlic price prediction at H+1, with a MAPE of 1.69%, while the highest error occurred for red chili at H+30, with a MAPE of 26.72%. SHAP analysis shows that TAVG was dominant in chili commodities, while RR and RH_AVG had greater influence on shallots and garlic. These findings indicate that Random Forest and SHAP can support short-term price prediction with interpretable climate variable contributions.

Development and Usability Evaluation of an AI-Based Vocal Emotion Assessment Prototype for Vocational Communication Training Bayu Sulistiyanto Ipung Sutejo; Muhammad Revin Putra Fahlefi; Habibullah Akbar; Andriyanti Asianto; Diah Aryani; Ega Shela Marsiani
Chatra: Jurnal Pendidikan dan Pengajaran Vol. 4 No. 3 (2026): Chatra: Jurnal Pendidikan dan Pengajaran (In Press)
Publisher : CV. Yazri Aksara Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62238/chatra.v4i3.476

Vocational communication training requires opportunities for learners to practise vocal delivery and receive timely feedback, yet conventional assessment often depends on direct instructor observation. This study developed and evaluated a web-based AI-assisted vocal emotion assessment prototype for vocational communication practice. Using evolutionary prototyping, the system integrated browser-based audio recording and file upload, signal preprocessing, emotion2vec+ inference, probability visualization, and automated feedback. Functional performance was examined through eight black-box testing scenarios, while perceived usability was evaluated using the System Usability Scale with 15 participants comprising 12 vocational students and three instructors. All eight functional scenarios operated successfully, with client-server response times of approximately 0.45–0.65 seconds. The prototype achieved a SUS score of 76.98, indicating favorable perceived usability, particularly for ease of use and learnability. These findings support the prototype's preliminary feasibility as a formative practice tool, although classification validity and educational effectiveness require further evaluation using larger samples, expert-validated emotion labels, and authentic vocational communication settings.Pelatihan komunikasi vokasional memerlukan kesempatan bagi peserta didik untuk mempraktikkan penyampaian vokal dan memperoleh umpan balik secara tepat waktu, sedangkan asesmen konvensional masih banyak bergantung pada pengamatan langsung instruktur. Penelitian ini mengembangkan dan mengevaluasi prototipe asesmen emosi vokal berbasis web dengan dukungan kecerdasan buatan untuk latihan komunikasi vokasional. Pengembangan menggunakan evolutionary prototyping dengan mengintegrasikan perekaman dan pengunggahan audio, prapemrosesan sinyal, inferensi emotion2vec+, visualisasi probabilitas, serta umpan balik otomatis. Kinerja fungsional diuji melalui delapan skenario black-box testing, sedangkan persepsi usability dievaluasi menggunakan System Usability Scale terhadap 15 partisipan yang terdiri atas 12 peserta didik vokasi dan tiga instruktur. Seluruh skenario pengujian fungsional berhasil dijalankan dengan waktu respons client-server sekitar 0,45–0,65 detik. Prototipe memperoleh skor SUS sebesar 76,98 yang menunjukkan persepsi usability yang positif, terutama pada kemudahan penggunaan dan pembelajaran sistem. Temuan ini mendukung kelayakan awal prototipe sebagai alat latihan formatif, tetapi validitas klasifikasi dan efektivitas pendidikan masih memerlukan pengujian lebih lanjut dengan sampel yang lebih luas, label emosi tervalidasi pakar, dan konteks komunikasi vokasional autentik.

Evaluating the Usability of an RF–LSTM Learning Platform with Explainable AI among University Students Diah Aryani; Jefry Sunupurwa Asri; Habibullah Akbar; Muhammad Fikri; Bayu Sulistiyanto Ipung Sutejo
Chatra: Jurnal Pendidikan dan Pengajaran Vol. 4 No. 3 (2026): Chatra: Jurnal Pendidikan dan Pengajaran (In Press)
Publisher : CV. Yazri Aksara Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62238/chatra.v4i3.491

Educational AI platforms require usable interfaces that enable students to interpret complex predictive and explainability outputs. This study evaluated the usability of an RF-LSTM learning platform incorporating explainable artificial intelligence among university students. A multidimensional usability evaluation involved 40 Informatics Engineering and Computer Science students who completed six structured tasks covering data exploration, preprocessing, model prediction, performance comparison, SHAP interpretation, and navigation. Usability evidence was obtained from task performance, structured observations, the System Usability Scale (SUS), and open-ended feedback. Task completion ranged from 85% to 100%, while the mean SUS score of 76.7 indicated positive overall usability. Greater difficulties emerged when students compared performance metrics and interpreted SHAP visualizations, particularly regarding technical terminology, visual presentation, navigation, and system feedback. The findings suggest that algorithmic explainability does not automatically ensure comprehensibility during student interaction. Contextual explanations, clearer navigation cues, scalable SHAP visualizations, and processing feedback emerged as design priorities, although the findings remain limited to students within a higher education context.Platform pendidikan berbasis AI memerlukan antarmuka yang mudah digunakan agar mahasiswa mampu menginterpretasikan keluaran prediktif dan explainability yang kompleks. Penelitian ini mengevaluasi usabilitas platform pembelajaran RF-LSTM yang mengintegrasikan explainable artificial intelligence pada mahasiswa. Evaluasi usabilitas multidimensional melibatkan 40 mahasiswa Teknik Informatika dan Ilmu Komputer yang menyelesaikan enam tugas terstruktur meliputi eksplorasi data, preprocessing, prediksi model, perbandingan performa, interpretasi SHAP, dan navigasi. Bukti usabilitas diperoleh melalui performa tugas, observasi terstruktur, System Usability Scale (SUS), dan umpan balik terbuka. Tingkat penyelesaian tugas berkisar antara 85% hingga 100%, sedangkan rerata skor SUS sebesar 76,7 menunjukkan usabilitas keseluruhan yang positif. Kesulitan lebih terlihat ketika mahasiswa membandingkan metrik performa dan menginterpretasikan visualisasi SHAP, terutama terkait terminologi teknis, penyajian visual, navigasi, dan umpan balik sistem. Temuan menunjukkan bahwa explainability algoritmik tidak secara otomatis menjamin keterpahaman dalam interaksi mahasiswa. Penjelasan kontekstual, penanda navigasi yang lebih jelas, visualisasi SHAP yang dapat disesuaikan, dan umpan balik pemrosesan menjadi prioritas pengembangan, meskipun temuan terbatas pada mahasiswa dalam konteks perguruan tinggi.

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