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All Journal Jurnal Penelitian Saintek Teika Jurnal Buana Informatika JSI: Jurnal Sistem Informasi (E-Journal) JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnas Nasional Teknologi dan Sistem Informasi Annual Research Seminar ANDHARUPA CESS (Journal of Computer Engineering, System and Science) Jurnal Ilmiah KOMPUTASI Sistemasi: Jurnal Sistem Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Information System for Educators and Professionals : Journal of Information System MBR (Management and Business Review) JOURNAL OF APPLIED INFORMATICS AND COMPUTING SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi J I M P - Jurnal Informatika Merdeka Pasuruan Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal ULTIMA InfoSys Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal Ilmiah Media Sisfo JURIKOM (Jurnal Riset Komputer) JURTEKSI Jurnal Riset Informatika JOISIE (Journal Of Information Systems And Informatics Engineering) CCIT (Creative Communication and Innovative Technology) Journal JUSIM (Jurnal Sistem Informasi Musirawas) INFOMATEK: Jurnal Informatika, Manajemen dan Teknologi Building of Informatics, Technology and Science Journal of Information Systems and Informatics Jurnal Teknologi Dan Sistem Informasi Bisnis Zonasi: Jurnal Sistem Informasi Jurnal Pengabdian Masyarakat Bumi Raflesia JATI (Jurnal Mahasiswa Teknik Informatika) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) SOSIOEDUKASI : JURNAL ILMIAH ILMU PENDIDIKAN DAN SOSIAL Teknomatika (Jurnal Teknologi dan Informatika) REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat KLIK: Kajian Ilmiah Informatika dan Komputer Decode: Jurnal Pendidikan Teknologi Informasi JUSTIN (Jurnal Sistem dan Teknologi Informasi) Konstelasi: Konvergensi Teknologi dan Sistem Informasi Jurnal Algoritma SmartComp Jurnal Informatika: Jurnal Pengembangan IT The Indonesian Journal of Computer Science JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Jurnal Komtika (Komputasi dan Informatika)
Allsela Meiriza, Allsela
Universitas Sriwijaya
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Analisis Proses Bisnis Pada Pendaftaran Pelanggan Pemasangan PDAM Kota Baturaja Dengan Metode BPI (Business Process Improvement) Saputri, Sonia Dwi; Putra, Pacu; Oktadini, Nabila Rizky; Sevtiyuni, Putri Eka; Meiriza, Allsela
The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i2.3681

Abstract

Notasi Pemodelan Proses Bisnis (BPMN) adalah standar pemodelan proses bisnis yang menawarkan diagram proses bisnis dengan representasi grafis dari proses bisnis. BPMN memberi organisasi representasi grafis untuk komunikasi standar. BPMN bertujuan untuk mendukung manajemen proses bisnis bagi pengguna teknis dan bisnis dengan menyediakan notasi intuitif kepada pengguna bisnis yang dapat mengekspresikan proses semantik yang kompleks. Tujuan dalam penelitian adalah untuk mendeskripsikan proses bisnis registrasi pelanggan pada fasilitas PDAM Kota Baturaja dengan menggunakan model Business Process Modeling Notation (BPMN), menganalisis proses bisnis pada pendaftaran pelanggan pada fasilitas PDAM Kota Baturaja dengan menggunakan metode Proses Bisnis Peningkatan (BPI). Dan merekomendasikan proses bisnis pendaftaan pelanggan PDAM Kota Baturaja dengan metode Proses Bisnis Peningkatan (BPI) yang efektif. Manfaat penelitian bagi perusahaan adalah meningkatkan kualitas kinerja untuk mencapai tujuannya tanpa mengalami kerugian. Metode dalam penelitian adalah Proses Bisnis Peningkatan (BPI), yang merupakan metode untuk menganalisis dan memperbaiki proses bisnis bantuan Bizagi Modeler untuk analisis simulasi proses bisnis dan tools yang memperbaiki proses bisnis lama agar proses bisnis menjadi lebih efektif dan efisien. Data perama kali dikumpulkan melalui obsevasi berbicara dengan beberapa karyawan dan memunculkan ide-ide agar proses bisnis ini lebih efektif dan efisien. Hasil penelitian menunjukkan bahwa pada penelitian ini terdapat beberapa kendala dalam proses bisnis pendaftaran pelanggan pemasangan pdam baik dari segi ketersediaan personel, proses pengerjaan, dan tugas perusahaan. Oleh karena itu, proses bisnis harus diperbaiki sesuai dengan rekomendasi yang disampaikan.
Analisis dan Pemodelan Proses Bisnis Pengajuan Jabatan Fungsional Dosen Pada Universitas Sriwijaya Putra, Pacu; Oktadini, Nabila Rizky; Meiriza, Allsela; Sevtiyuni, Putri Eka
The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i1.3771

Abstract

Dosen merupakan pendidik professional yang memiliki tanggung jawab untuk menyalurkan ilmu pengetahuan, teknologi, dan seni. Dalam menghargai hasil dari kegiatan dosen, Pemerintah memberikan penghargaan yaitu berupa jabatan fungsional dosen. Proses penilaian Angka Kredit Kenaikan Jabatan Akademik/Pangkat dosen merujuk kepada dokumen pedoman operasional yang diterbitkan oleh Direktorat Jenderal Sumber Daya Iptek dan Dikti Kementerian Riset, Teknologi, dan Pendidikan Tinggi Tahun 2019. Dalam pelaksanaan proses penilaian angka kredit kenaikan jabatan akademik/pangkat dosen tersebut. Rektor Universitas Sriwijaya mengeluarkan prosedur operasional standar (POS) dengan kode POS/UNSRI/SPMI-04/05-01. Berdasarkan studi pendahuluan yang dilakukan penulis, sejak tahun 2017, Universitas Sriwijaya belum melakukan evaluasi kaitan alur dan waktu terhadap prosedur operasional standar tersebut. Business Process Improvement (BPI) merupakan metodologi yang tersusun secara sistematis guna mengembangkan proses bisnis yang dapat membantu organisasi dalam menyederhaakan, serta merampingkan suatu proses didalam organisasi. Dengan menerapkan metodologi BPI, proses bisnis dalam pengajuan jabatan fungsional dosen di Universitas Sriwijaya diharapkan lebih efektif lagi.
ANALYSIS OF DEMOGRAPHIC AND SOCIOECONOMIC FACTORS ON THE INCIDENCE OF DIABETES MELLITUS IN DKI JAKARTA USING LOGISTIC REGRESSION M. Ilham Fahlevi; Jackson Imanuel Manurung; Mohd Rizky Putra Pratama; M Naufal Hisyam; Allsela Meiriza; Ken Ditha Tania; Zaqqi Yamani
SOSIOEDUKASI Vol 15 No 1 (2026): SOSIOEDUKASI : JURNAL ILMIAH ILMU PENDIDIKAN DAN SOSIAL
Publisher : Fakultas Keguruan Dan Ilmu Pendidikan Universaitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/sosioedukasi.v15i1.7722

Abstract

Diabetes mellitus (DM) is a non-communicable disease with a significant global impact and an increasing incidence rate. Indonesia records one of the highest diabetes rates, particularly in the province of DKI Jakarta, which shows the highest national prevalence. This observational study with a cross-sectional design aims to evaluate the factors influencing the onset of DM in the Jakarta area using data from the 2023 Indonesia National Health Survey (SKI). This research involves participants over the age of 15. Analysis was conducted using univariate, bivariate (chi-square test), and multivariate methods with the Logistic Regression method, while considering the complexity of the research design. Research findings indicate that age, education level, and comorbidities are factors that significantly influence the incidence of DM. Those below the productive age group are at a higher risk of experiencing DM (OR = 2.268). Secondary education lowers the risk compared to higher education (OR = 0.611). Comorbidity is the main risk factor, increasing the probability of DM incidence by 6.229 times. These findings emphasize the importance of managing comorbidities and implementing appropriate preventive measures for at-risk individuals in efforts to manage diabetes in major cities.
Analisis Segmentasi Pelanggan Menggunakan RFM dan K-Means Clustering sebagai Dasar Penyusunan Aturan Pendukung Keputusan Andini, Meisya Dwi; Catra, Rafa Nadira; Homausyah, Weli Ratri; Aurelia, Haaniyah; Meiriza, Allsela; Tania, Ken Ditha; Yamani, Zaqqi
Building of Informatics, Technology and Science (BITS) Vol 7 No 4 (2026): March 2026
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i4.9511

Abstract

One of the important methods in supporting data-driven Customer Relationship Management (CRM) initiatives is customer segmentation. However, in practice, segmentation results are often limited to descriptive analysis and are not further utilized in decision-support processes. This study aims to utilize customer segmentation results based on the Recency, Frequency, Monetary (RFM) approach and the K-Means algorithm as a basis for developing decision-support recommendations. The research stages include data preprocessing, RFM value calculation, normalization using the Min-Max Scaling method, and determining the optimal number of clusters using the Elbow Method and Silhouette Score. The evaluation results indicate that the optimal number of clusters is four, with a Silhouette Score of 0.61, which reflects a moderately good level of cluster separation. The segmentation results classify customers into four categories: High Value/VIP Customers, Loyal Customers, Potential Customers, and Low Value/Dormant Customers, each exhibiting distinct transactional behavior characteristics. These characteristics are then interpreted into decision rules using IF–THEN logic; for example, customers with low Recency, high Frequency, and high Monetary values are recommended strategies such as loyalty rewards and upselling. The findings suggest that customer segmentation can be extended beyond descriptive analysis and utilized as a practical basis for marketing decision-making, although the approach remains relatively simple and heuristic-based. The contribution of this study is to integrate RFM-KMeans segmentation results with IF–THEN decision rules to generate more applicable marketing strategy recommendations in supporting data-driven decision making.
DIGITAL INSTRUMENT FOR INFANT AND TODDLER MORTALITY REVIEW USING USER-CENTERED DESIGN METHOD Saputra, Royan Dwi; Heroza, Rahmat Izwan; Indah, Dwi Rosa; Meiriza, Allsela; Putra, Pacu; Ermatita, Ermatita
Jurnal Riset Informatika Vol. 4 No. 4 (2022): September 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (945.278 KB) | DOI: 10.34288/jri.v4i4.174

Abstract

Abstract The Infant Mortality and Toddler Mortality rates are still relatively high in Indonesia. Data from the South Sumatra Health Office shows a relatively high number of infant and toddler mortality cases in Banyuasin and Musi Banyuasin Regency, with about 68 and 51 cases in 2017. Through the Program Kerja Sama (PKS) of the family health directorate of the health ministry of the Republic of Indonesia and the Public Health Faculty of Sriwijaya University. Find problems related to the absence of instruments in digital form, which are useful for conducting studies on infant and under-five mortality problems in health facilities, which were expected to assist in recording and reporting the review process run more effectively and efficiently. This research uses the User-Centered Design (UCD) method because it optimizes the application prototype according to the needs and desires of the end-user, which in this case is the health worker in the Health Facilities in Banyuasin and Musi Banyuasin Regency. The UCD method phases include understanding the use context, specifying the user requirements, designing the solutions, and evaluating against requirements. The results of the study were that the average usability score was 94, meaning that this application's prototype has been made according to the needs and desires of end-users. Also, the prototype of this application is feasible to implement.
Penggunaan Metode Multimedia Development Life Cycle (MDLC) Dalam Game Edukasi Virtual Kampus Universitas Sriwijaya Pada Platform Roblox Hakim, Adzka Fahmi Aulia; Meiriza, Allsela; Afrina, Mira; Kurnia, Rizka Dhini; Putra, Pacu
Decode: Jurnal Pendidikan Teknologi Informasi Vol. 6 No. 1: MARET 2026
Publisher : Program Studi Pendidikan Teknologi Infromasi UMK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51454/decode.v6i1.1485

Abstract

Promosi institusi pendidikan di era digital menuntut inovasi media yang interaktif, di mana platform metaverse seperti Roblox menawarkan potensi besar untuk pengalaman imersif dan partisipatif yang melampaui media konvensional. Penelitian ini bertujuan untuk merancang dan mengembangkan sebuah game edukasi virtual Kampus Universitas Sriwijaya yang berlokasi di Palembang, yang berfungsi sebagai media promosi dan pengenalan lingkungan kampus yang interaktif bagi calon mahasiswa dan mahasiswa baru. Metode penelitian yang digunakan adalah Multimedia Development Life Cycle (MDLC) yang mencakup enam tahapan sistematis: Concept, Design, Material Collecting, Assembly, Testing, dan Distribution. Pengujian produk dilakukan melalui pengujian menggunakan User Experience Questionnaire (UEQ) yang disebarkan kepada 200 responden mahasiswa baru Universitas Sriwijaya. Hasil penelitian ini adalah sebuah game edukasi virtual yang fungsional dan telah berhasil dipublikasikan di platform Roblox, lengkap dengan visualisasi 3D lingkungan kampus, fitur eksplorasi, dan interaksi multipemain. Hasil testing menggunakan UEQ menunjukkan bahwa game ini mendapatkan evaluasi sangat positif pada keenam dimensi (Daya Tarik, Kejelasan, Efisiensi, Ketepatan, Stimulasi, dan Kebaruan), dengan nilai rata-rata tertinggi pada aspek Daya Tarik (1,90). Disimpulkan bahwa metode MDLC berhasil diterapkan secara efektif untuk membangun game edukasi ini, dan produk yang dihasilkan terbukti sangat diterima dengan baik oleh pengguna sebagai media pengenalan kampus yang inovatif dan menarik.
Leakage-Aware Random Forest Regression for Predicting Job Automation Risk Using Structured Labor Market Data Alya Zalfa Chairunnisa; Nawirah Athqiyah; Vanisa Amalia Putri; Ken Dhita Tania; Allsela Meiriza
Building of Informatics, Technology and Science (BITS) Vol 8 No 1 (2026): June 2026
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v8i1.9706

Abstract

This study aims to predict job automation risk in the era of artificial intelligence (AI) using a leakage-aware Random Forest Regression approach. The automation risk score, defined as a composite index derived from task exposure to AI, occupational routine intensity, and technological susceptibility indicators sourced from the AI Impact Jobs Dataset, serves as the target variable. The dataset comprises 5,000 job vacancy records from 44 countries across 9 industries spanning 2010 to 2025. A rigorous methodological framework is applied by systematically identifying and eliminating potential data leakage features, including ai_intensity_score, reskilling_required, and ai_mentioned, which were found to share mathematical or conceptual derivation paths with the target variable. The model is evaluated using R², RMSE, MAE, and MAPE with 5-fold cross-validation. The results show that the model achieves an R² score of 0.8087 on testing data, with RMSE of 0.1129 and MAE of 0.0893. Feature importance analysis reveals that salary_change_vs_prev_year_percent is the most influential predictor (55.85%), which, although indicative of dominance bias typical in synthetic datasets, aligns with economic theories linking wage dynamics to automation incentives. The findings demonstrate that leakage control significantly reduces inflated performance estimates (from R² = 0.8857 to 0.8087), and that Random Forest Regression provides a robust predictive framework for tabular socio-economic data when combined with rigorous preprocessing. This study contributes a methodological template for preventing data leakage in labor market prediction tasks.
Pemanfaatan Metode Agile dalam Pengembangan Aplikasi CISEA pada PT. Bukit AsamTbk Risma Nur Aini; Allsela Meiriza; Dinna Yunika Hardiyanti; Khoirusy Syafaat
Jurnal Informatika: Jurnal Pengembangan IT Vol 11, No 1 (2026)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v11i1.10083

Abstract

Key Performance Indicator (KPI) management is a crucial aspect in measuring and evaluating organizational performance in a systematic and sustainable manner. However, KPI management processes that are still conducted manually may lead to several issues, such as verification delays, lack of data integration, and low accuracy in performance reporting. This study aims to develop an Electronic Balanced Scorecard (e-BSC) module within the CISEA application to support integrated and digital-based KPI management. The system development method employed in this study is Agile, which consists of planning, design, development, testing, documentation, and deployment stages. During the planning stage, system requirements were analyzed through observations and discussions with relevant stakeholders. The design stage utilized Unified Modeling Language (UML) to model the system, database structure, and user interface. System implementation was carried out using PHP as the programming language and MySQL as the database management system, with the user interface developed using HTML and CSS. System testing was conducted using the black box testing method to ensure that all system functions operated in accordance with user requirements. The results of this study indicate that the developed e-BSC module is capable of facilitating KPI input, verification, approval, and performance reporting processes in a more systematic, integrated and structured manner. Therefore, the system is expected to enhance the quality of organizational performance management and support accurate and timely managerial decision-making.
Co-Authors Adhiyasa, Chandra Julian Adriansyah, Rizki Ahmad Rifai Ahmad Rifai Akbar Alzaini Al Fachrozi, Muhammad Al-Farisy, M Hadi Alfarizi, M. Alfitrah, Intan Aidita Ali Ibrahim Alinda, Yelli Nur Alvico, Alvico Alvines, Mahendi Alya Zalfa Chairunnisa Alzaini, Akbar Amanda, Bella Rizkia Anadia, Qothrunnada Wafi Ananda Khoirunnisa Andini Bahri, Cheisya Andini, Meisya Dwi Andriani, Sari Ani Nidia Listianti, Ani Nidia Anindya Putri, Salsa Anna Dwi Marjusalinah Annisa Tri Ning Tyas Apriansyah Putra Archi Daffa Danendra, Muhammad Ari Wedhasmara Ariyani, Ishlah Putri Ariyanti, Putri Arnan, Sefian Arvhi Randita Setia Athallah Ubaid, Deni Aurelia, Haaniyah Ayu, Nabila Riska Ayuningtiyas, Pratiwi Bayu Wijaya Putra Billan, Angel Caroline Catra, Rafa Nadira Chandra Julian Adhiyasa Cynthia Sherina Fadeli Danendra, Devano Dedy Kurniawan Deni Lidianti Desty Rodiah Devano Danendra Dinda Lestarini Dinna Yunika Hardiyanti Dinna Yunika Hardiyanti Dwi Rosa Indah Endang Lestari Ruskan Endang Lestari Ruskan Epriyanti, Nadia Ermatita - Faizah, Ovie Nur Fathoni - Fatimah Salsabila Fatimah, Aisyah Firda, Hiliah Gultom, Gina Destia Gusti Barata Hakim, Adzka Fahmi Aulia Hardini Novianti Hardini Novianti Hardini Novianti Hardini Novianty Homausyah, Weli Ratri Ichsan Farel Rachmad, Muhammad Idpal, Idpal Inayah, Anna Fadilla Irmawati Irmawati Irwansyah, Muhammad Aziiz Izzan Fieldi, Muhammad Jackson Imanuel Manurung Jaidan Jauhari Jambak, Muhammad Ihsan Jefven Fernando Jonathan Pakpahan Karima, Dzakiah Aulia Karimsyah Lubis, Muhammad Karisa Anjani Fakhri Ken Dhita Tania Ken Dhita Tania, Ken Dhita Ken Ditha Tania Khairani, Annisa Khoiriyah Harahap, Dayana Khoirusy Syafaat Larasati, Salsabila Lifiano Jamot Munthe, Gabriel Luh Sri Mulia Eni M Naufal Hisyam M Rifki Ali M, Nys Marliza Tiara M. Ilham Fahlevi Maharani, Wardah Shifa Maretta, Aulia Maretta, Aulia Pinkan Mariska, Inneke Via Meiriza, Viola Meitiana Audya Mira Afrina Mohd Rizky Putra Pratama Muhamad Edric Rasyid Muhammad Aidil Fitri Syah Muhammad Ali Buchari Muhammad Azmi Zaky Muhammad Ihsan Muhammad Imam Riadillah Mulyadi Mulyadi Munaspin, Zahra Diva Putri Nabila Oktadini Nabila Riska Ayu Nabila Rizki Oktadini Nachwa, Syakillah Nadia Ayu Safitri Naretha Kawadha Pasemah Gumay Nashiroh Ramadhani, Muthia Nawirah Athqiyah Novitia Chinoi Nurul Izmy Nur’Aini, Risma Nyimas Silvia Oktadini, Nabila Oktadini, Nabila Rizky Onkky Alexander Pacu Putra Pacu Putra Padlefi, Muhamad Riza Pakpahan, Jonathan Paulus Paskah Lino Susilo Perdani, Tharisa Antya Putri Ariyanti Putri Eka Sevtiyuni Putri Eka Sevtiyuni Putri Eka Sevtyuni Putri Mutiara Arinie Putri, Adetya Rielisa Putri, Nyayu Dwi Tarisa Rafika Octaria Ningsih Rafli Maulana, Muhammad Rahmat Izwan Heroza Rahmat Izwan Heroza Ramadhan Putra Pratama, Muhammad Ramadhan, Kumara Aditya Ramadhan, Muhammad Gilang Rangga Aderiyana, Fakih Rani Mardiah Ravi Wijayanto, Muhammad Rezeki, Yunika Tri Rezqe, Beriadi Agung Nur Ricy Firnando Rido Zulfahmi Rika Septiana Riska Yunita Risma Nur Aini Rizka Dhini Kurnia Rizka Rahmadhani Rizki Kurniati Rizky Herdiansyah, Muhammad Rizky Sawitri Rizkyllah, Anabel Fiorenza Rositiani, Ely Royan Dwi Saputra RR. Ella Evrita Hestiandari Salsabila, Fatimah Sanjaya, M. Rudi Saputra, Royan Dwi Saputri, Sonia Dwi Sari Andriani Sarifah Putri Raflesia Sasmita, Ruth Mei Sawitri, Rizky Septhia Charenda Putri Sevtiyuni, Putri Eka Simanullang, Eka Darmayanti Susanti, Helen Susilo, Paulus Paskah Lino Syahbani, Muhammad Husni Syarief Albani, Muhammad Tharisa Antya Perdani Theresia Pardede, Eva Titiana, Nuke Merisca Tri Zafira, Zahra Tsabitah, Laila Vanisa Amalia Putri Via Mariska, Inneke Wahyudi, Muhammad Iqbal Wulan Dari, Atikah Yadi Utama Yamani, Zaqqi Yasir Alghifari, Muhammad Yasyfi Imran, Athallah Yelli Nur Alinda Yunika Hardiyanti, Dinna Yunita Yunita Zaki, Imam Syahputra Zaqqi Yamani