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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Psikologika : Jurnal Pemikiran dan Penelitian Psikologi dCartesian: Jurnal Matematika dan Aplikasi JURNAL SISTEM INFORMASI BISNIS Prosiding KOMMIT BIOTROPIA - The Southeast Asian Journal of Tropical Biology Jurnal Sains dan Teknologi Jurnal Buana Informatika TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Indonesian Journal of Mathematics and Natural Sciences Jurnal Ilmiah Kursor Noetic Psychology JTSL (Jurnal Tanah dan Sumberdaya Lahan) Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Transformatika JUITA : Jurnal Informatika Scientific Journal of Informatics Psikodimensia: Kajian Ilmiah Psikologi Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Jurnal Sains Matematika dan Statistika BANGUN REKAPRIMA Proceeding of the Electrical Engineering Computer Science and Informatics MNJ (Malang Neurology Journal) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Mercumatika : Jurnal Penelitian Matematika dan Pendidikan Matematika Inquiry: Jurnal Ilmiah Psikologi BAREKENG: Jurnal Ilmu Matematika dan Terapan IJEBD (International Journal Of Entrepreneurship And Business Development) JOURNAL SPORT AREA Philanthropy: Journal of Psychology MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Evangelikal: Jurnal Teologi Injili dan Pembinaan Warga Jemaat Aptisi Transactions on Technopreneurship (ATT) Insight: Jurnal Ilmiah Psikologi Jurnal Abdi Insani Computer Science and Information Technologies Jurnal Sains dan Edukasi Sains SPEKTA (Jurnal Pengabdian Kepada Masyarakat : Teknologi dan Aplikasi) Indonesian Journal of Applied Research (IJAR) Journal of Science and Science Education Yumary: Jurnal Pengabdian kepada Masyarakat JAMBURA JOURNAL OF PROBABILITY AND STATISTICS Riset Pendidikan Bahasa dan Sastra Indonesia (Repetisi) Dinamis Jurnal HPT (Hama Penyakit Tumbuhan) Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya Jurnal Bisnis Kompetitif INJURITY: Journal of Interdisciplinary Studies Jurnal Akademik Pengabdian Masyarakat Journal of Community Empowerment ENDLESS : International Journal of Future Studies d'Cartesian: Jurnal Matematika dan Aplikasi Tesseract: International Journal of Geometry and Applied Mathematics JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) El-Qisth Jurnal hukum keluarga Islam Community Impact and Society Empowerment Journal
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Strategic Evaluation of Whistleblower Software Security in Government: ISO/IEC 25010 and AHP Method Purbaratri, Winny; Sembiring, Irwan; Setiawan, Adi; Setyawan, Iwan
Jurnal Sistem Informasi Bisnis Vol 14, No 4 (2024): Volume 14 Nomor 4 Tahun 2024
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol14iss4pp321-328

Abstract

To assess the effectiveness of software security measures in government whistleblower systems, we will utilize the ISO/IEC 25010 standard and the Analytic Hierarchy Process (AHP) methodology. Through the integration of various frameworks, our objective is to build a complete evaluation model that effectively identifies and enhances any vulnerabilities in these crucial systems. The strategy we employ combines the qualitative and quantitative evaluation capabilities of ISO/IEC 25010 and AHP, respectively, to offer a comprehensive perspective on software security performance. The results indicate substantial improvements in the security and reliability of whistleblower software, underscoring the effectiveness of our suggested evaluation technique in identifying crucial areas for refinement. Moreover, the utilization of AHP permitted the ranking of security qualities, guaranteeing focused and efficient improvements. Ultimately, the study emphasizes the significance of thorough security assessments for government whistleblower systems and verifies the effectiveness of utilizing ISO/IEC 25010 and AHP as a methodical approach to improve software security. This research enhances the ongoing endeavor to protect confidential data, fostering a more secure and reliable atmosphere for individuals who expose wrongdoing.
Mindfulness in Elderly Care Services at Nursing Homes in Salatiga City Suwartiningsih, Sri; Setiawan, Adi; Indah, Christina Maya; Sulistyaningsih, Endang; Hartiningsih, Tri
ENDLESS: INTERNATIONAL JOURNAL OF FUTURE STUDIES Vol. 7 No. 3 (2024): ENDLESS: International Journal of Future Studies
Publisher : Global Writing Academica Researching & Publishing

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Abstract

In the city of Salatiga, there are five nursing homes: Merbabu Nursing Home, Salib Putih Nursing Home, Menara Berkat Senior Residence, Maria Martha Senior Residence, and Menara Kasih. Each nursing home has a leader and staff who serve in their respective facilities. Most caregivers in these five nursing homes are women, with 59 female caregivers and only 32 male caregivers. The caregivers have the primary responsibility of serving the elderly residents in nursing homes. Some of these elderly residents are bedridden and require care in their beds, while others are blind, unable to walk, deaf, and so on. Given the nature of the caregivers' duties, it is essential to conduct research on the sense of calling among caregivers in nursing homes. Using a descriptive constructive method, the research aims to uncover facts that can build the concept of mindfulness in elderly care services at the nursing homes in Salatiga. The research findings reveal that the concept of mindfulness is shaped by the presence of meaning and values in the sense of calling, morality, responsibility, sincerity, and spirituality. The meaning and values within this calling include the opportunity to serve others, especially the elderly; the moral drive to joyfully serve the elderly; the responsibility toward others and the families of the elderly; sincerity in providing wholehearted care for the elderly; and spirituality, which sees serving the elderly as an act of faith in God.
Introduction of Artificial Intelligence to Students Using AIOT-kit Based on ThingSpeak Trihandaru, Suryasatriya; Parhusip, Hanna Arini; Susanto, Bambang; Setiawan, Adi; Nugroho, Didit Budi; Kurniawan, Johanes Dian
SPEKTA (Jurnal Pengabdian Kepada Masyarakat : Teknologi dan Aplikasi) Vol. 5 No. 2 (2024)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/spekta.v5i2.9462

Abstract

Background: Schools struggle to engage students in science and technology, highlighting the need for innovative, tech-driven teaching methods to meet 21st-century educational demands. Contribution: An AIOT kit was developed to introduce middle school students to Artificial Intelligence (AI) and the Internet of Things (IoT). The kit measures environmental factors like temperature, humidity, pressure, and light, providing real-time data. Method: Students received training in mathematical and coding fundamentals, programmed the AIOT kit to collect data, and displayed it on the ThingSpeak dashboard. They also designed and assembled the kit, fostering peer-to-peer learning in future activities. Results: Students visualized data effectively and successfully connected the AIOT kit to the dashboard, confirming its functionality. Conclusion: The project enhanced students' understanding of AI and IoT, providing hands-on learning and boosting engagement in science and technology
Penerapan Model Bayesian Moving Average untuk Pemodelan Data Pendapatan Harian Retribusi Pelayanan Pasar Dinas Perdagangan Kota Salatiga Rachayu, Laras Andriani; Setiawan, Adi; Linawati, Lilik
Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya 2019: Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (744.254 KB)

Abstract

Retribusi Daerah khususnya Retribusi Pelayanan Pasar menjadi salah satu sumber PAD (Pendapatan Asli Daerah) yang penting di Kota Salatiga. Pengelolaan Retribusi Pelayanan Pasar merupakan tugas Dinas Perdagangan selaku pengelola pelayanan pasar. Namun demikian Dinas Perdagangan Kota Salatiga tidak pernah menggunakan data hasil pendapatan retribusi pelayanan pasar untuk membuat perencanaan. Melihat permasalahan tersebut maka diperlukan suatu analisis untuk data pendapatan harian retribusi pelayanan pasar. Sebelum melakukan analisis diperlukan pemodelan data pendapatan terlebih dahulu. Pemodelan dilakukan untuk mengetahui apakah data bisa diestimasi dengan menggunakan metode tertentu. Penelitian ini membahas tentang pemodelan data pendapatan harian retribusi pelayanan pasar Kota Salatiga enggunakan model Moving Average(MA) berdasarkan metode Bayesian. Data yang digunakan dalam penelitian ini adalah data pendapatan harian retribusi pelayanan pasar dari bulan September 2016 sampai dengan bulan Maret 2018. Data dianalisis menggunakan model runtun waktu dengan bantuan packages Program R. Model yang diperoleh adalah IMA( Integrated Moving Average)(1,1) Musiman, untuk estimasi parameter mengunakan Metode Bayesian yang menghasilkan omega sebesar -0.570719 dan thau sebesar 1.403x10^6 .Harapan penulis hasil penelitian ini bisa menjadi masukan bagi Dinas Perdagangan Kota Salatiga agar kedepan hasil retribusi juga bisa digunakan untuk perencanaan dan untuk menentukan target Pendapatan Asli Daerah Kota Salatiga.
Identifikasi Autokorelasi Spasial pada Laju Inflasi di Indonesia Timur Menggunakan Lisa Bootstrap Modjo, Marchella Ellena; Setiawan, Adi; Susanto, Bambang
Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya 2019: Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (845.506 KB)

Abstract

Autokorelasi spasial adalah korelasi antara variabel dengan dirinya sendiri berdasarkan ruang atau dapat juga diartikan suatu ukuran kemiripan dari objek di dalam suatu ruang (jarak, waktu dan wilayah). Pada penelitian ini, dilakukan identifikasi autokorelasi spasial pada laju inflasi bulanan di Indonesia Timur dengan menggunakan LISA (Local Indicator of Spatial Autocorrelation) berdasarkan metode bootstrap. Metode bootstrap digunakan untuk menentukan nilai-p sehingga dengan hasil nilai-p bootstrap dapat diputuskan adanya autokorelasi spasial di suatu kota pada suatu waktu (bulan). Dengan menggunakan penggulangan B = 10000 kali diperoleh hasil bahwa kota Kupang pada bulan Januari 2013 terdapat autokorelasi spasial artinya laju inflasi wilayah-wilayah yang berbatasan dengan kota Kupang dipengaruhi oleh laju inflasi kota Kupang. Sedangkan untuk kota Mamuju tidak pernah mengalami autokorelasi spasial untuk periode 5 tahun dari bulan Januari 2013 sampai dengan Desember 2017. Hal itu berarti wilayah-wilayah yang berbatasan dengan kota Mamuju tidak memiliki hubungan dalam laju inflasi.
Network Intrusion Detection Using Transformer Models and Natural Language Processing for Enhanced Web Application Attack Detection Priatna, Wowon; Sembiring, Irwan; Setiawan, Adi; Setyawan, Iwan
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 13 No. 3 (2024)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v13i3.82462

Abstract

The increasing frequency and complexity of web application attacks necessitate more advanced detection methods. This research explores integrating Transformer models and Natural Language Processing (NLP) techniques to enhance network intrusion detection systems (NIDS). Traditional NIDS often rely on predefined signatures and rules, limiting their effectiveness against new attacks. By leveraging the Transformer's ability to capture long-term dependencies and the contextual richness of NLP, this study aims to develop a more adaptive and intelligent intrusion detection framework. Utilizing the CSIC 2010 dataset, comprehensive preprocessing steps such as tokenization, stemming, lemmatization, and normalization were applied. Techniques like Word2Vec, BERT, and TF-IDF were used for text representation, followed by the application of the Transformer architecture. Performance evaluation using accuracy, precision, recall, F1 score, and AUC demonstrated the superiority of the Transformer-NLP model over traditional machine learning methods. Statistical validation through Friedman and T-tests confirmed the model's robustness and practical significance. Despite promising results, limitations include the dataset's scope, computational complexity, and the need for further research to generalize the model to other types of network attacks. This study indicates significant improvements in detecting complex web application attacks, reducing false positives, and enhancing overall security, making it a viable solution for addressing increasingly sophisticated cybersecurity threats
Exploring the Relationship between Artificial Intelligence and Business Performance Lutfiani, Ninda; Sembiring, Irwan; Setyawan, Iwan; Setiawan, Adi; Rahardja, Untung; Sulistio, Sulistio
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 19, No 1 (2025): January
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.86697

Abstract

The integration of Artificial Intelligence (AI) into business operations has garnered significant attention due to its potential impact on business performance. However, the relationship between AI adoption and business performance remains not fully understood. This article comprehensively analyzes this relationship through three key aspects: the acceptance and implementation of AI within organizations, the impact of AI on various dimensions of business performance, and the potential challenges associated with AI adoption. In this study, we employ SmartPLS as an analytical tool to evaluate the relationships between identified factors and the impact of AI adoption on business performance. Our findings reveal that several factors influence the adoption and implementation of AI, including data availability, organizational culture, leadership support, technical expertise, and ethical considerations. Moreover, AI adoption significantly influences business performance metrics such as productivity, efficiency, revenue, and customer satisfaction. Nonetheless, challenges arising from AI adoption, including shifts in job roles, data privacy, and security concerns, also require substantial attention. In conclusion, successful AI adoption and implementation necessitate careful consideration of organizational, technical, and ethical factors. This research provides valuable insights for business leaders and researchers seeking a deeper understanding of the relationship between Artificial Intelligence and business performance.
THE INFLUENCE OF FRUGALITY ON SUBJECTIVE WELL-BEING WITH RELIGIOSITY AS A MODERATOR VARIABLE: A STUDY ON EARLY ADULT ONLINE SHOPPERS Meydelina, Gloria; Kristinawati, Wahyuni; Setiawan, Adi
Interdiciplinary Journal and Hummanity (INJURITY) Vol. 4 No. 1 (2025): INJURITY: Journal of Interdisciplinary Studies.
Publisher : Pusat Publikasi Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58631/injurity.v4i1.1396

Abstract

This study aims to examine the influence of frugality on subjective well-being (SWB) in early adult online shoppers, with religiosity as a moderator variable. The study participants consisted of men and women aged 18-40 years who are online shoppers in Indonesia. The hypothesis test was carried out using the Multiple Linear Regression technique, and the results of this study showed that the results showed that a positive relationship was found between the three variables. The results of the study also showed that religiousosis positively moderated the relationship between the variables ( = 0.073, p  0.10). In addition, it was found that the relationship was negatively correlated with the two variables (P  0.05). In conclusion, it is suggested that online shoppers can implement a lifestyle of simplicity by making a list of shopping priorities, comparing prices between platforms, and considering the use value of products before making purchases.
Rekayasa Algoritma Gravity Location Models Untuk Penentuan Lokasi Lumbung Pangan Masyarakat Kabupaten Minahasa Tenggara Aldian Umbu Tamu Ama; Eko Sediyono; Adi Setiawan
Jurnal Teknik Informatika dan Sistem Informasi Vol 1 No 3 (2015): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v1i3.588

Abstract

Focus of central government program in order to sustain tenacity of food is to align charging of barns of food society. This paper would examine the Gravity Location Model algorithm which is part of the network development strategy of supply chain management to determine the location of a facility (such as warehouse or factory). This algorithm is used theoretically to determine location of food barn in Southeast Minahasa. Determination of location food barm for society using Gravity Location Model is based on the rate of Normative Consumption Ratio per capita in a year. Sample location of 12 districts were taken using GPS and had been adjusted with digital map from Google Map. The result of calculation has get that food barn of society is in North Tombatu district in geographically located at 124° 41' 38.00'' east longitude and 1° 2' 28.39'' north latitude. Based on division 2 regions for the placement food barn society from 12 district. Alternative location of the first area is Ratahan in geographically located at 124° 47' 46.62'' east longitude and 1° 3' 17.71'' north latitude, and for the second alternative location area is at Tombatu in geographically located at 124° 41' 3.49'' east longitude and 1° 2' 18.33'' north latitude. Keywords— Food Security, Gravity Location Model, Normative Consumption Ratio, Supply Chain Management.
Pengamanan Sertifikat Tanah Digital menggunakan Digital Signature SHA-512 dan RSA Leonardo Refialy; Eko Sediyono; Adi Setiawan
Jurnal Teknik Informatika dan Sistem Informasi Vol 1 No 3 (2015): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v1i3.592

Abstract

Land trading as investment is sometimes find some barriers or problems. One of the problems is illegal or misclaimed of the land certificate. Badan Pertanahan Nasional (BPN) and Pejabat Pembuat Akta Tanah (PPAT) as institutions and correlated parties in the process of land certificate making need a system to handle the problem of falsification land certificate. The purpose of this research is to make secure system of digital land certificate document with a data protection system to detect if there is a falsification activity from certain party. This research hopefully can help BPN and PPAT as authorized institution of land certificate making and to lower the number of falsification. Digital signature SHA 512 and RSA are used in this research as a solution to keep data integrity of land certificate in a digital format, in this case, in an electronic book with.pdf format. Digital signature derived from xref table in.pdf file. This program has been consulted with BPN and PPAT officer in Salatiga. The result is, this program can be used and applied for authentication process of digital land certificate and help BPN to solve the problem of high number of falsification digital land certificate. Keywords—Sertifikat Tanah Digital, Digital Signature, Hash SHA 512, RSA, Integritas Data, Xref-Table
Co-Authors Abdul Latief Abadi Abesha, Muhammad Bagas ADELIA, PUTRI Adella Septiana Mugirahayu Aditya Nugraha Putra, Aditya Nugraha Adril, Adril Agatha, Titania Puela Agung Sugeng Widodo Agustiningsih, Maulina Al Jauhary, Muhammad Rifqi Aldian Umbu Tamu Ama Aldian Umbu Tamu Ama Alfida Tegar Nurani Alicia Anggelia Lumbantoruan Alkhinaya, Imelzsa ALOYSIUS JOAKIM FERNANDEZ Andhika, Yosi Arbi, Mokhram Ari Ariani, Dwi Setya Arum, Naiya Giska Fauzhia Sekar Atiek Iriany Atina Rahmatalia Ayu Pratiwi, Ayu AYU WULANDARI Bambang Susanto Baskoro Arie Nugroho Bayu Wijayanto Beni Utomo Christiana Hari Soetjiningsih Christina Maya Indah Susilowati Cintika, Sara Famelia D. B. Nugroho, D. B. Daivi Wardani, Daivi Danang Ariyanto Delsylia Tresnawaty Ufi Denny Indrajaya Denny Indrajaya Deswita, Yenny Dewi Anisa Istiqomah Dewi Lukitasari Diah Wulansari Hudaya, Diah Wulansari Didit Budi Nugroho Djoko Hartanto E. D. Saputri, E. D. Eko Sediyono Elok Waziiroh Elsa Septyana Endang Sulistyaningsih Faldy Tita Fika Widya Pratama Florentina Tatrin Kurniati Gustina, Devi Haay, Happy Alyzhya Hamsani Hamsani, Hamsani Hanna Arini Parhusip Hari Slamet Trianto Hari Slamet Trianto Hariyanto Hariyanto Hartiningsih, Tri Haryadi, Andri Henderi . Henrizal, Henrizal Henry Junus Wattimanela Hidayat, Mario Ignatius Agus Supriyono Ilham Hizbuloh Imansyah, Salmaa R. N Irisa Trianti Irwan Sembiring Iwan Setiawan Iwan Setyawan Joko Siswanto JT Lobby Loekmono Kasmadi Kasmadi Keo, Jitro Jemryes Kurniawan, Johanes Dian Kurniawan, Titus Antonius David Larassati, Dian Sukma Leipary, Harfely Leonardo Refialy Leonardo Refialy, Leonardo Leopoldus Ricky Sasongko Lilik Linawati Lindin Anderson Litra Diantara Luqman Qurata Aini Lydia Soepriyani Fallo masipupu, Frangky Aristiadi Meydelina, Gloria Migunani Migunani Mitha Febby R. Donggori Mitha Febby R. Donggori Mochtar Luthfi Rayes Modjo, Marchella Ellena Mohammad Ridwan Mukti, Audy Desaela Junia Munika, Rani Mustafa Kamal Nafisah Riskya Hasna Nasoetion, Panisean Nasrudienullah, Muhammad Ikhsan Ninda Lutfiani Nizwan Zukhri Nugraha, Irfan Nur Priya Nurul Islami, Nurul Olivia Rumahpasal Pamungkas, Bayu Aji Pane, Pina Andriani Pariama, Aprillia Mauren Pirmansyah Pirmansyah Pradani, Wynona Adita Priatna , Wowon Pronika, Yeni Purbaratri, Winny Purwanto Purwoko, Agus Putra, Reza Qurotul Aini Rachayu, Laras Andriani Rachel Wulan Nirmalasari Wijaya Reniati Reniati Riana Dewi Ridlo, Mahmuddin Riza, Sativandi Rizqon Hasibuan Romauli Basaria Roy Rudolf Huizen Rudhito, Andy Salomina Patty Saputra, Muhammad Dio SARI, EMMA NOVITA Sari, Fariezta Sayuti, M. Setivani, Febi Sri Suwartiningsih Sulistio Sulistio Suryasatriya Trihandaru Sutarto Wijono Syamsul Arifin Syib`'li, Muhammad Akhid Tamaela, Jemaictry Theo Sarita, Fetriks Theopillus J. H. Wellem Tri Wahyuningsih Tundjung Mahatma Uli, Desti Monika Untung Rahardja Untung Rahardja Vikky Aprelia Windarni Vikky Aprelia Windarni Vincentia Pawestri Wahyuni Kristinawati Waney, Natalia Christy Wattimanela, Henry Junus Wibowo, Mars Caroline Wiguna, Edo Wijaya, Maruf Ajisaka Wijayanti, Yunita Puput Windarni, Vikky Aprelia Wisnu Anendya Sekti Yanti Sariasih Yenusi, Yuni naomi Yulius Yusak Ranimpi Yuono, Sukma Setyo Zuliani, Nopita zurman, zurman